An Excursion through Elementary Mathematics: Real Numbers and Functions: 1 [1, 1st ed. 2017] 3319538705, 9783319538709

Table of contents :
Preface
Contents
1 The Set of Real Numbers
1.1 Arithmetic in R
Problems: Section 1.1
1.2 The Order Relation in R
Problems: Section 1.2
1.3 Completeness of the Real Number System
Problems: Section 1.3
1.4 The Geometric Representation
Problems: Section 1.4
2 Algebraic Identities, Equations and Systems
2.1 Algebraic Identities
Problems: Section 2.1
2.2 The Modulus of a Real Number
Problems: Section 2.2
2.3 A First Look at Polynomial Equations
Problems: Section 2.3
2.4 Linear Systems and Elimination
Problems: Section 2.4
2.5 Miscellaneous
Problems: Section 2.5
3 Elementary Sequences
3.1 Progressions
Problems: Section 3.1
3.2 Linear Recurrences of Orders 2 and 3
Problems: Section 3.2
3.3 The and Notations
Problems: Section 3.3
4 Induction and the Binomial Formula
4.1 The Principle of Mathematical Induction
Problems – Section 4.1
4.2 Binomial Numbers
Problems – Section 4.2
4.3 The Binomial Formula
Problems – Section 4.3
5 Elementary Inequalities
5.1 The AM-GM Inequality
Problems: Section 5.1
5.2 Cauchy's Inequality
Problems: Section 5.2
5.3 More on Inequalities
Problems: Section 5.3
6 The Concept of Function
6.1 Definitions and Examples
Problems: Section 6.1
6.2 Monotonicity, Extrema and Image
Problems: Section 6.2
6.3 Composition of Functions
Problems: Section 6.3
6.4 Inversion of Functions
Problems: Section 6.4
6.5 Defining Functions Implicitly
Problems: Section 6.5
6.6 Graphs of Functions
Problems: Section 6.6
6.7 Trigonometric Functions
Problems: Section 6.7
7 More on Real Numbers
7.1 Supremum and Infimum
Problems: Section 7.1
7.2 Limits of Sequences
Problems: Section 7.2
7.3 Kronecker's Lemma
Problems: Section 7.3
7.4 Series of Real Numbers
Problems: Section 7.4
8 Continuous Functions
8.1 The Concept of Continuity
Problems: Section 8.1
8.2 Sequential Continuity
Problems: Section 8.2
8.3 The Intermediate Value Theorem
Problems: Section 8.3
9 Limits and Derivatives
9.1 Some Heuristics I
9.2 Limits of Functions
Problems: Section 9.2
9.3 Basic Properties of Derivatives
Problems: Section 9.3
9.4 Computing Derivatives
Problems: Section 9.4
9.5 Rôlle's Theorem and Applications
Problems: Section 9.5
9.6 The First Variation of a Function
Problems: Section 9.6
9.7 The Second Variation of a Function
Problems: Section 9.7
9.8 Sketching Graphs
Problems: Section 9.8
10 Riemann's Integral
10.1 Some Heuristics II
10.2 The Concept of Integral
Problems: Section 10.2
10.3 Riemann's Theorem and Some Remarks
Problems: Section 10.3
10.4 Operating with Integrable Functions
Problems: Section 10.4
10.5 The Fundamental Theorem of Calculus
Problems: Section 10.5
10.6 The Change of Variables Formula
Problems: Section 10.6
10.7 Logarithms and Exponentials
Problems: Section 10.7
10.8 Miscellaneous
Problems: Section 10.8
10.9 Improper Integration
Problems: Section 10.9
10.10 Two Important Applications
Problems: Section 10.10
11 Series of Functions
11.1 Taylor Series
Problems: Section 11.1
11.2 Series of Functions
Problems: Section 11.2
11.3 Power Series
Problems: Section 11.3
11.4 Some Applications
Problems: Section 11.4
11.5 A Glimpse on Analytic Functions
Problems: Section 11.5
Bibliography
Appendix A
Glossary
Appendix B Hints and Solutions
Section 1.1
Section 1.2
Section 1.3
Section 2.1
Section 2.2
Section 2.3
Section 2.4
Sections 2.5
Section 3.1
Section 3.2
Sections 3.3
Section 4.1
Section 4.2
Section 4.3
Section 5.1
Section 5.2
Section 5.3
Section 6.1
Section 6.2
Section 6.3
Section 6.4
Section 6.5
Section 6.6
Section 6.7
Section 7.1
Section 7.2
Section 7.3
Section 7.4
Section 8.1
Section 8.2
Section 8.3
Section 9.2
Section 9.3
Section 9.4
Section 9.5
Section 9.6
Section 9.7
Section 9.8
Section 10.2
Section 10.3
Section 10.4
Section 10.5
Section 10.6
Section 10.7
Section 10.8
Section 10.9
Section 10.10
Section 11.1
Section 11.2
Section 11.3
Section 11.4
Section 11.5
Index

Citation preview

Problem Books in Mathematics

Antonio Caminha Muniz Neto

An Excursion through Elementary Mathematics, Volume I Real Numbers and Functions

Problem Books in Mathematics Series Editor: Peter Winkler Department of Mathematics Dartmouth College Hanover, NH 03755 USA

More information about this series at http://www.springer.com/series/714

Antonio Caminha Muniz Neto

An Excursion through Elementary Mathematics, Volume I Real Numbers and Functions

123

Antonio Caminha Muniz Neto Mathematics Universidade Federal do Ceará Fortaleza, Ceará, Brazil

ISSN 0941-3502 Problem Books in Mathematics ISBN 978-3-319-53870-9 DOI 10.1007/978-3-319-53871-6

ISSN 2197-8506 (electronic) ISBN 978-3-319-53871-6 (eBook)

Library of Congress Control Number: 2017933290 © Springer International Publishing AG 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

To Gabriel and Isabela, my most beautiful theorems. To my teacher Valdenísio Bezerra, in memorian

Preface

This is the first of a series of three volumes (the other ones being [4] and [5]) devoted to the mathematics of mathematical olympiads. Generally speaking, they are somewhat expanded versions of a collection of six volumes, first published in Portuguese by the Brazilian Mathematical Society in 2012 and currently in its second edition. The material collected here and in the other two volumes is based on course notes that evolved over the years since 1991, when I first began coaching students of Fortaleza to the Brazilian Mathematical Olympiad and to the International Mathematical Olympiad. Some 10 years ago, preliminary versions of the Portuguese texts also served as textbooks for several editions of summer courses delivered at UFC to math teachers of the Cape Verde Republic. All volumes were carefully planned to be a balanced mixture of a smooth and self-contained introduction to the fascinating world of mathematical competitions, as well as to serve as textbooks for students and instructors involved with math clubs for gifted high school students. Upon writing the books, I have stuck myself to an invaluable advice of the eminent Hungarian-American mathematician George Pólya, who used to say that one cannot learn mathematics without getting one’s hands dirty. That’s why, in several points throughout the text, I left to the reader the task of checking minor aspects of more general developments. These appear either as small omitted details in proofs or as subsidiary extensions of the theory. In this last case, I sometimes refer the reader to specific problems along the book, which are marked with an * and whose solutions are considered to be an essential part of the text. In general, in each section, I collect a list of problems, carefully chosen in the direction of applying the material and ideas presented in the text. Dozens of them are taken from former editions of mathematical competitions and range from the almost immediate to real challenging ones. Regardless of their level of difficulty, we provide generous hints, or even complete solutions, to virtually all of them. This first volume concentrates on real numbers, elementary algebra, and real functions. The book starts with a non-axiomatic discussion of the most elementary properties of real numbers, followed by a detailed study of basic algebraic identities, vii

viii

Preface

equations and systems of equations, elementary sequences, mathematical induction, and the binomial theorem. These pave the way for an initial presentation of algebraic inequalities like that between the arithmetic and geometric means, as well as those of Cauchy, Chebyshev, and Abel. We then run through an exhaustive elementary study of functions that culminates with a first look at implicitly defined functions. This is followed by a second look on real numbers, focusing on the concept of convergence for sequences and series of reals. We then return to functions, this time to successively develop, in detail, the basics of continuity, differentiability, and integrability. Along the way, the text stays somewhere between a thorough calculus course and an introductory analysis one. Lots of interesting examples and important applications are presented throughout. Whenever possible (or desirable), the examples are taken from mathematical competitions, whereas the applications vary from the proof and several applications of Jensen’s convexity inequality to Lambert’s theorem on the irrationality of  and Stirling’s formula on the asymptotic behavior of nŠ. The text ends with a chapter on sequences and series of functions, where, among other interesting topics, we construct an example of a continuous and nowhere differentiable function, develop the rudiments of the generating function method, and discuss Weierstrass’ approximation theorem and the rudiments of the theory of Fourier series. Several people and institutions contributed throughout the years for my effort of turning a bunch of handwritten notes into these books. The State of Ceará Mathematical Olympiad, created by the Mathematics Department of the Federal University of Ceará (UFC) back in 1980 and now in its 36th edition, has since then motivated hundreds of youngsters of Fortaleza to deepen their studies of mathematics. I was one such student in the late 1980s, and my involvement with this competition and with the Brazilian Mathematical Olympiad a few years later had a decisive influence on my choice of career. Throughout the 1990s, I had the honor of coaching several brilliant students of Fortaleza to the Brazilian Mathematical Olympiad. Some of them entered Brazilian teams to the IMO or other international competitions, and their doubts, comments, and criticisms were of great help in shaping my view on mathematical competitions. In this sense, sincere thanks go to João Luiz Falcão, Roney Castro, Marcelo Oliveira, Marcondes França Jr., Marcelo C. de Souza, Eduardo Balreira, Breno Falcão, Fabrício Benevides, Rui Vigelis, Daniel Sobreira, Samuel Feitosa, Davi Máximo Nogueira, and Yuri Lima. Professor João Lucas Barbosa, upon inviting me to write the textbooks to the Amílcar Cabral Educational Cooperation Project with Cape Verde Republic, had unconsciously provided me with the motivation to complete the Portuguese version of these books. The continuous support of Professor Hilário Alencar, president of the Brazilian Mathematical Society when the Portuguese edition was first published, was also of great importance for me. Special thanks go to professors Abdênago Barros and Fernanda Camargo, my colleagues at the Mathematics Department of UFC, who had made quite useful comments on the Portuguese editions, which were incorporated in the text in a way or another; they had also read the entire English version and helped me in improving it in a number of ways. If it weren’t for my editor at Springer-Verlag, Mr. Robinson dos Santos, I almost surely would not

Preface

ix

have had the courage to embrace the task of translating more than 1500 pages from Portuguese into English. I acknowledge all the staff of Springer involved with this project in his name. Finally, and mostly, I would like to express my deepest gratitude to my parents Antonio and Rosemary, my wife Monica, and our kids Gabriel and Isabela. From early childhood, my parents have always called my attention to the importance of a solid education, having done their best for me and my brothers to attend the best possible schools. My wife and kids filled our home with the harmony and softness I needed to get to endure on several months of solitary nights of work while translating this book. Fortaleza, Brazil December 2016

Antonio Caminha Muniz Neto

Contents

1

The Set of Real Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 1.1 Arithmetic in R . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 1.2 The Order Relation in R . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 1.3 Completeness of the Real Number System . . . .. . . . . . . . . . . . . . . . . . . . 1.4 The Geometric Representation . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

1 3 7 12 15

2

Algebraic Identities, Equations and Systems . . . . . . . .. . . . . . . . . . . . . . . . . . . . 2.1 Algebraic Identities . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 2.2 The Modulus of a Real Number .. . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 2.3 A First Look at Polynomial Equations .. . . . . . . .. . . . . . . . . . . . . . . . . . . . 2.4 Linear Systems and Elimination . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 2.5 Miscellaneous . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

19 19 27 33 45 54

3

Elementary Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 3.1 Progressions .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 3.2 Linear Recurrences of Orders 2 and 3 . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 3.3 The † and … Notations . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

61 61 70 78

4

Induction and the Binomial Formula . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 87 4.1 The Principle of Mathematical Induction .. . . . .. . . . . . . . . . . . . . . . . . . . 87 4.2 Binomial Numbers .. . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 98 4.3 The Binomial Formula .. . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 104

5

Elementary Inequalities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 5.1 The AM-GM Inequality . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 5.2 Cauchy’s Inequality .. . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 5.3 More on Inequalities .. . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

111 111 123 128

6

The Concept of Function . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 6.1 Definitions and Examples . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 6.2 Monotonicity, Extrema and Image . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 6.3 Composition of Functions . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 6.4 Inversion of Functions . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

143 143 153 163 172 xi

xii

Contents

6.5 6.6 6.7

Defining Functions Implicitly . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 176 Graphs of Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 185 Trigonometric Functions . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 195

7

More on Real Numbers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 7.1 Supremum and Infimum .. . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 7.2 Limits of Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 7.3 Kronecker’s Lemma . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 7.4 Series of Real Numbers.. . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

201 201 208 221 228

8

Continuous Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 8.1 The Concept of Continuity . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 8.2 Sequential Continuity .. . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 8.3 The Intermediate Value Theorem . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

245 245 256 264

9

Limits and Derivatives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.1 Some Heuristics I . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.2 Limits of Functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.3 Basic Properties of Derivatives .. . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.4 Computing Derivatives . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.5 Rôlle’s Theorem and Applications .. . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.6 The First Variation of a Function.. . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.7 The Second Variation of a Function.. . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 9.8 Sketching Graphs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

275 275 277 292 302 312 318 328 339

10 Riemann’s Integral . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.1 Some Heuristics II . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.2 The Concept of Integral . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.3 Riemann’s Theorem and Some Remarks . . . . . .. . . . . . . . . . . . . . . . . . . . 10.4 Operating with Integrable Functions .. . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.5 The Fundamental Theorem of Calculus . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.6 The Change of Variables Formula . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.7 Logarithms and Exponentials . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.8 Miscellaneous . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.9 Improper Integration .. . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 10.10 Two Important Applications .. . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

347 347 351 360 368 381 392 398 414 426 437

11 Series of Functions.. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11.1 Taylor Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11.2 Series of Functions.. . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11.3 Power Series . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11.4 Some Applications .. . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 11.5 A Glimpse on Analytic Functions.. . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

447 447 456 472 486 499

Contents

xiii

Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 511 A

Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 513

B

Hints and Solutions .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 515

Index . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . 643

Chapter 1

The Set of Real Numbers

This first chapter recalls some definitions and results which are essential to all further developments. We assume from the reader a modest acquaintance with the most basic concepts of set theory; we also assume that he or she is familiar with the sets of naturals, N D f1; 2; 3; 4; : : :g; integers, Z D f0; ˙1; ˙2; ˙3; : : :g; and rationals, QD

na b

o I a; b 2 Z; b ¤ 0 ;

as well as with the elementary arithmetic operations within these sets. In what concerns the integers1, given a; b 2 Z, with a ¤ 0, we say that a divides b if there exists an integer c such that b D ac. Equivalently, to say that a divides b is the same as to say that the rational number ba is an integer; for example, 13 divides 52, since 52 D 4. 13 If a divides b, we also say that a is a divisor of b, or that b is divisible by a; in such a case, we denote a j b. If a doesn’t divide b (or, which is the same, if ba … Z), we denote a − b. An integer n is even if 2 j n; otherwise, n is said to be odd. Hence, 0, ˙2, ˙4, ˙6, . . . are the even integers, while ˙1, ˙3, ˙5, . . . are the odd ones.

1

We refer the reader to Chap. 6 of [5] for a systematic discussion of what follows.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_1

1

2

1 The Set of Real Numbers

Given natural numbers a and b, it is well known that there exist unique integers q and r satisfying the following conditions: b D aq C r and 0  r < a:

(1.1)

The above relation is known as the division algorithm, and the integers q and r are respectively called the quotient and the remainder of the division of b by a. Conditions (1.1) are usually condensed in the diagram b r

a q

In particular, for given naturals a and b and in the above notations, a j b is the same as r D 0 and q D ba . Two nonzero integers a and b always have a greatest common divisor, which will be denoted gcd.a; b/; Moreover, a and b are said to be relatively prime if gcd.a; b/ D 1; in particular, if b D ka C 1, then a and b are relatively prime. If r D mn , with m and n integers, is a representation of the nonzero rational r, then, by cancelling out factors common to m and n (i.e., cancelling gcd.m; n/ out of m and n), we get an irreducible representation for r. For example, since 2 gcd.12; 18/ D 6, the rational number 12 18 has 3 as an irreducible representation, which was obtained by cancelling out a factor 6 from both 12 and 18. An integer p > 1 is prime if 1 and p are its only positive divisors; in another way, an integer p > 1 is prime if, for a 2 N, we have that p 2 N ) a D 1 or p: a It is a well known fact (cf. Chap. 6 of [5]) that the set of prime numbers is infinite. Below, we list all prime numbers less than 100: 2; 3; 5; 7; 11; 13; 17; 19; 23; 29; 31; 37; 41; 43; 47; 53; 59; 61; 67; 71; 73; 79; 83; 89; 97: An integer greater than 1 and which is not prime is said to be composite. It is also a well known fact (cf. Chap. 6 of [5]) that every natural number n > 1 can be written (or decomposed) as a product of a finite number of powers2 of prime numbers (its prime factors); also, such a representation of n is unique, up to the order of the powers. For instance, 9000 D 23  32  53 is the decomposition of 9000 as a product of powers of primes. The existence and uniqueness of such a decomposition of n > 1 is known as the Fundamental Theorem of Arithmetic. 2 To recall the definition and the main properties of powers of numbers, we refer the reader to Section 1.2.

1.1 Arithmetic in R

3

1.1 Arithmetic in R We use to represent rational numbers in decimal notation. For the rational number 1 1 8 , for example, we write 8 D 0:125 as a shorthand for the equality 1 2 1 5 D C 2 C 3; 8 10 10 10 and say that 0:125 is the decimal representation of 18 . Some rational numbers have more complicated decimal representations. We take 1 as an example the rational 12 , for which we usually write 1 D 0:08333 : : : : 12 What does this equality mean? Arguing as in the case of 18 , we are tempted to say that this equality is a shorthand for 8 1 3 3 3 D 2 C 3 C 4 C 5 C : 12 10 10 10 10

(1.2)

This is actually so, provided we correctly interpret the sum with an infinite number of summands at the right hand side. Rigorously, (1.2) means that, if we fix the a priori maximum error 101n D 0: „ 00 ƒ‚ : : : 01 …, then we have n

1  0< 12



8 3 3 3 C 3 C 4 CC k 2 10 10 10 10

 

1 10n

for every natural number k  n; yet in another way, (1.2) means that all of the 1 numbers 1082 C 1033 C 1034 C    C 103k , with k  n, approximate 12 by defect with error less than or equal to 0: „ 00 ƒ‚ : : : 01 . In fact, it will follow from Proposition 3.12 … n

that 1  12



8 3 3 3 C 3 C 4 CC k 102 10 10 10

 D

1 ; 3  10k

1 equals so that the error in the defect approximation 1082 C 1033 C 1034 C    C 103k of 12 1 1 , which is always less than or equal to the maximum error 10n , whenever k  n. 310k 1 D 0:08333 : : :. It is precisely in this sense that we should think of the equality 12

4

1 The Set of Real Numbers

In the light of the above discussion, one question suggests itself naturally: for an arbitrary sequence3 .a1 ; a2 ; a3 ; : : :/ of decimal digits, can we think of 0:a1 a2 a3 : : : as the decimal representation of some rational number? It is possible to prove (and we will do so in Problem 2, page 7) that the answer to this question is yes if and only if the list .a1 ; a2 ; a3 ; : : :/ is periodic from a certain point on, i.e., if and only if it is of the form .a1 ; a2 ; : : : ; al ; b1 ; b2 ; : : : ; bp ; b1 ; b2 ; : : : ; bp ; b1 ; b2 ; : : : ; bp ; : : :/: „ ƒ‚ … „ ƒ‚ … „ ƒ‚ … p

p

(1.3)

p

1 the list is .0; 8; 3; 3; 3; : : :/, which is clearly (In particular, for the rational number 12 periodic.) Therefore, if we are able to exhibit a list of digits that is not periodic from any point on, we will conclude that the general answer to the question posed above is no! We show an example of such a list now.

Example 1.1 The sequence of digits .0; 1; 0; 1; 1; 0; 1; 1; 1; 0; : : :/, with infinitely many 0’s and such that the quantity of digits 1’s after each digit 0 equals the previous quantity of digits 1 plus one, is not periodic from any point on. Proof By the sake of contradiction, suppose that the list in the statement is periodic from some point on, with, say, a block of p digits that repeats itself. The way we defined the sequence assures that, from some point on, each occurrence of a block of digits 1 would bring more than p digits 1. Therefore, the block of digits that repeats itself should be composed only by digits 1, so that the list should be, from some point on, equal to .1; 1; 1; 1; 1; 1; 1; : : :/. However, if this was so, then we could not have an infinite number of digits 0, which is a contradiction. t u In short, the previous discussion points to the following deficiency of the set of rationals: every rational number admits a decimal representation, but not every decimal representation represents a rational number. At this point, in order to fulfill this deficiency, we postulate4 the existence of a set R, containing Q and having the following properties:

3 As we shall see in Section 6.1, a sequence of real numbers is just a function f W N ! R; however, for our purposes here, we can think of a sequence just as an ordered list of numbers, i.e., a list of numbers in which we specify which is the first number, which is the second, third, and so on. We will sistematically discuss some important elementary sequences of real numbers in Chap. 3. 4 An axiom or postulate in a certain theory is a property imposed as true. One of the fundamental characteristics of Mathematics as a branch of human knowledge is the use of the axiomatic method, i.e., the acceptance of the fact that not every mathematical property can be logically deduced from previously established properties, being necessary the adoption of an adequate set of axioms.

1.1 Arithmetic in R

5

(I) Addition, subtraction, multiplication and division in Q extend to similar operations on R, in the sense that they have, on R, properties similar to those on Q. (II) The order relation within Q extends to an order relation within R, so that it has, in R, the same properties its restriction has in Q; in particular, every element of R is negative, zero or positive. (III) In the sense of our previous discussions, to every sequence .a1 ; a2 ; a3 ; : : :/ of digits there corresponds a unique element x 2 Œ0; 1, which will be denoted by x D 0:a1 a2 a3 : : :. Conversely, to every x 2 Œ0; 1, there corresponds a (not necessarily unique) sequence .a1 ; a2 ; a3 ; : : :/ of digits, such that x D 0:a1 a2 a3 : : :. The elements of R are called real numbers, and the set R as a whole is the set of real numbers5 . In the rest of this section and in the next two section we discuss in detail each of the items (I), (II) and (III) above, showing what they really mean. Beginning with (I), we postulate that R is furnished with two operations, respectively denoted C and  and called (by analogy with the corresponding operations on Q) addition and multiplication. Such operations satisfy axioms (1) to (7), quoted below: (1) Consistency: for a; b 2 Q, the result a C b of the addition of a and b is the same, whether we consider the usual addition on Q or the corresponding operation on R. Analogously, the result a  b of the multiplication of a and b is the same, whether we consider the usual multiplication on Q or the corresponding operation on R. (2) Commutativity: the operations C and  are commutative, i.e., they are such that a C b D b C a and a  b D b  a, for all a; b 2 R. (3) Associativity: the operations C and  are associative, i.e., they are such that a C .b C c/ D .a C b/ C c and a  .b  c/ D .a  b/  c, for all a; b; c 2 R. (4) Distributivity: Multiplication is distributive with respect to addition, i.e., it is such that a  .b C c/ D .a  b/ C .a  c/, for all a; b; c 2 R. (5) The roles of 0 and 1 in R: the rational numbers 0 and 1 are such that 0 C a D a and 1  a D a, for every a 2 R. (6) Law of cancellation: if a; b 2 R are such that a  b D 0, then a D 0 or b D 0. (7) Existence of inverses: for every a 2 R, there exists b 2 R such that a C b D 0. For every a 2 R n f0g, there exists b 2 R such that a  b D 1. The properties above have the following important consequences: (i) Uniqueness of the additive inverse: for a given a 2 R, if b; b0 2 R are such that a C b D 0 and a C b0 D 0, the associativity and commutativity of addition

5 There are more construtive (and rigorous) ways of introducing the real numbers, as the reader can find in [6], for example. However, in these notes we chose to follow an approach that was as close as possible to the previous experience of the medium reader, sacrificing rigor in the name of understanding.

6

1 The Set of Real Numbers

give us b D b C 0 D b C .a C b0 / D .b C a/ C b0 D .a C b/ C b0 D 0 C b0 D b0 : Hence, the real number a has a unique additive inverse, which from now on will be denoted by a, as is usually done within Q. It follows from a C .a/ D 0 that a is the additive inverse of a; therefore, according to the notation just established for additive inverses, we have .a/ D a. (ii) Uniqueness of the multiplicative inverse: for a given a 2 R n f0g, if b; b0 2 R are such that a  b D 1 and a  b0 D 1, then b D b0 . The proof of this fact is completely analogous to that of the previous item (cf. Problem 3, page 7). From now on, we will denote the multiplicative inverse of a 2 R n f0g by a1 , as is also usually done within Q. (iii) For a 2 R, we have a  0 D 0: in order to check this, let a  0 D e. The distributivity of multiplication with respect to addition gives e D a  0 D a  .0 C 0/ D a  0 C a  0 D e C e: Hence, e D e C 0 D e C .e C .e// D .e C e/ C .e/ D e C .e/ D 0; so that a  0 D e D 0. In view of the above properties, we adopt the convention (as is usual within Q) to omit the sign  of multiplication, thus writing simply ab instead of ab. Now, observe that the associativity and commutativity of addition and multiplication in R allow us to add or multiply an arbitrary finite number of real numbers without worrying with which summands or factors should be initially operated; the final result will always be the same6 . We also define the operations of subtraction () and division () in R as is usually done in Q: for a; b 2 R, we set a  b D a C .b/ and a  b D ab1 ;

6

Rigorously speaking, the validity of such a statement should be proved as a theorem, what can be done with the aid of the principle of mathematical induction (cf. Chap. 5). However, in order to have a less terse reading, we chose not to give a formal proof of this fact, just relying on the previous experience of the reader.

1.2 The Order Relation in R

7

with b ¤ 0 in the last case; yet in the case of division, and whenever there is no danger of confusion, we write a=b or ab as synonymous for a  b.

Problems: Section 1.1 1. * Establish the following properties of proportions: if a, b, c and d are nonzero reals, such that ab D dc , then c a˙c a D D : b d b˙d 2. * Given a sequence .a1 ; a2 ; a3 ; : : :/ of digits, prove that the real number 0:a1 a2 a3 : : : represents the decimal expansion of a rational if and only if the sequence .a1 ; a2 ; a3 ; : : :/ is periodic from some point on, in the sense of (1.3). 3. * Prove the uniqueness of multiplicative inverses in R. More precisely, prove that if a ¤ 0 is a real number and b; b0 2 R are such that a  b D a  b0 D 1, then b D b0 . 4. Prove, from the axioms for addition and multiplication of reals, that a D .1/a, for every a 2 R. 5. In each of the following items, decide whether the real number in question is rational or not. In doing so, assume that the pattern of digits suggested up to the dots is actually followed. Moreover, in case the number is rational, write it as an irreducible fraction: (a) (b) (c) (d)

2:324444 : : :. 0:12121212 : : :. 2:1345454545 : : :. 0:1234567891011121314 : : :.

1.2 The Order Relation in R We postulate the existence of an order relation on R, which amounts to a way of comparing real numbers. By the sake of analogy with the corresponding order relation on Q, we denote this order relation by , and also read it as greater than or equal to. The order relation on R satisfies axioms (1’) to (5’) below: (1’) (2’) (3’) (4’) (5’)

Consistency: for a; b 2 Q such that a  b in Q, we have a  b in R. Reflexivity: a  a, for every a 2 R. Antisymmetry: if a; b 2 R are such that a  b and b  a, then a D b. Transitivity: if a; b; c 2 R are such that a  b and b  c, then a  c. Dichotomy: for all a; b 2 R, one has either a  b or b  a.

8

1 The Set of Real Numbers

In all that follows, if a; b 2 R are such that a  b and a ¤ b, we write a > b and read a is greater than b. We also write a  b (read a is less than or equal to b) as a synonymous for b  a, and a < b (read a is less than b) as a synonymous for b > a. If a 2 R is such that a > 0, we say that a is positive; if a < 0, we say that a is negative. With respect to the order relation  on R, we also impose axioms (6’) and (7’) below, which guarantee – as they do in Q – its compatibility with the operations of addition and multiplication: (6’) a > b , a  b > 0. (7’) a; b > 0 ) a C b; ab > 0. The next result collects some other useful properties of the order relation on R, which can be deduced from axioms (1’) to (7’). From now on, we say that two nonzero real numbers have equal signs if they are both positive or both negative. Proposition 1.2 Let a; b; c; d 2 R. (a) If a > 0, then a  < 0, and vice-versa. b > 0 ) ab > 0 (b) If a > 0, then . b < 0 ) ab < 0  b > 0 ) ab < 0 (c) If a < 0, then . b < 0 ) ab > 0 (d) a > b ) a C c > b C c. (e) a > b; c  d )  a C c > b C d. c > 0 ) ac > bc (f) If a > b, then . c < 0 ) ac < bc (g) a ¤ 0 ) a2 > 0. (h) a > 0 , 1a > 0. (i) If a and b have equal signs and a > b, then

1 a

< 1b .

Proof We prove just a few of the above items, letting the others as exercises (see Problem 1, page 10). (a) This follows from axiom (6’): 0 > a , 0  .a/ > 0 , a > 0: (d) Again by axiom (6’), we have a > b ) a  b > 0 ) .a C c/  .b C c/ > 0 ) a C c > b C c: (e) We use (d) and the transitivity of : a>b ) aCc>bCc cd ) bCcbCd

 ) a C c > b C d:

1.2 The Order Relation in R

9

(f) Suppose c > 0 (the case c < 0 can be treated analogously). It follows from (6’) and (7’) that a > b ) a  b > 0 ) .a  b/c > 0 ) ac  bc > 0 ) ac > bc: (h) Suppose a > 0. If we had 1a < 0, it would follow from (b) that 1 D a  1a < 0, which is an absurd (for the order relation on R extends that on Q). (i) Since a and b have equal signs, it follows from (b) and (c) that ab > 0. Thus, 1 item (h) gives ab > 0. Since b  a < 0, we get from either (b) or (c) that 1 1 ba 1  D D .b  a/  < 0: a b ab ab Finally, (6’) assures that this is equivalent to

1 a

< 1b .

t u

Items (b) and (c) of the former proposition are known as the sign rules for multiplication of real numbers. Next, let r 2 R be given. The square of r, denoted r2 , is the real number r2 D rr; the cube of r, denoted r3 , is the real number r3 D r  r  r. More generally, for a given n 2 N, we define the nth power of r, denoted rn , as being r, if n D 1, or the real number obtained by multiplying r by itself n times, if n > 1: rn D r„ r ƒ‚     …r : n

Once more we call the attention of the reader to the fact that the associativity of the multiplication of reals, together with the principle of mathematical induction (cf. Chap. 5) allows us to prove that the result of the right hand side of the equality above does not depend on the order in which we multiply the n copies of r. Therefore, rn is a well defined real number. Problem 3, page 10, lists some useful properties of the powers of real numbers. We collect below an important consequence of the properties of the order relation on R, listed in the last proposition. Corollary 1.3 Let r be a positive real number and m and n be natural numbers, with m > n. Then: (a) 0 < r < 1 ) rm < rn . (b) r > 1 ) rm > rn . Proof (a) Since r is positive, multiplying both sides of the inequality r < 1 by r, we get r2 < r. Multipliying both sides of this last inequality by r once more, it follows that r3 < r2 and, hence, that r3 < r2 < r. Proceeding this way, we arrive at the desired result, i.e.,    < r4 < r3 < r2 < r:

10

1 The Set of Real Numbers

(b) The proof of this item is essentially equal to that of (a), with the only difference that, in this case, we have r > 1. t u We next illustrate, in an example, how the above corollary can be useful in comparing certain real numbers. Example 1.4 In order to compare 2100 C 3100 and 4100 , for instance, it suffices to see that 2100 C 3100 < 3100 C 3100 D 2  3100 D 2  33  397 D 54  397 < 64  497 D 43  497 D 4100 : In Chapter 5, we will sistematically study some important inequalities involving real numbers. For the time being, the following corollary – in spite of its simplicity – will play an important role. Corollary 1.5 For a; b 2 R, we have a2 C b2  0;

(1.4)

with equality if and only if a D b D 0. Proof Item (g) of Proposition 1.2 gives a2 ; b2  0. Therefore, item (d) of that proposition gives a2 C b2  0. Now, let a ¤ 0. Then, it follows from item (g) of the above mentioned proposition that a2 > 0. On the other hand, since we still have b2  0, item (e) of that proposition guarantees that a2 C b2 > 0. t u

Problems: Section 1.2 1. * Prove items (b), (c) and (g) of Proposition 1.2. 2. * Generalize Corollary 1.5, showing that, if a; b; c 2 R, then a2 C b2 C c2  0; with equality if and only if a D b D c D 0. 3. * Given r; s 2 R and m; n 2 N, prove that7 : (a) .rs/n D rn sn . 7

In order to prove properties (a) to (d) in a rigorous way, we have to rely on the principle of mathematical induction (cf. Chap. 5). Thus, our intention here is simply to make the reader give some arguments on their plausibility.

1.2 The Order Relation in R

11

(b) rmCn D rm rn . (c) .rm/n D rmn . n n (d) rs D rsn , if s ¤ 0. 4. * For r 2 R n f0g and n 2 N, we extend the notion of powers with natural exponents to powers with integer exponents by defining rn D r1n . For example, r1 D 1r , r2 D r12 etc. If we also set r0 D 1, prove that, for all m; n 2 N, one m has rrn D rmn . 5. Let a and b be nonzero integers, with b > 1. If the only prime divisors of b are 2 or 5, prove that the decimal representation of ab is finite. 6. * If x ¤ 0 is a real number and n 2 N, prove that xn is positive if n is even, and has the same sign of x if n is odd. 1 1 7. Prove that 12  13 C 14  15 C     99 C 100 > 15 . 8. Given positive real numbers a and b such that a < b, compare (i.e., decide aC2 which is the greatest of) the numbers aC1 bC1 and bC2 . 9. (TT) We are given ten real numbers such that the sum of any four of them is positive. Show that the sum of all ten numbers is also positive. 10. Decide which of the numbers 3111 or 1714 is the greatest one. 11. * Let n 2 N and a; b be positive reals. Prove that: (a) a < b if and only if a2 < b2 . (b) a < b if and only if an < bn . (c) an C bn < .a C b/n . 12. (EKMC - adapted) Let a, b and c be the lenghts of the sides of a right triangle, c being the hypotenuse. Which one is the greatest: a3 C b3 or c3 ? Justify your answer. 13. Show that, for every n 2 N, we have 12n C 22n C 32n  2  7n . 14. * Find all natural numbers a, b and c such that a  b  c and 1a C 1b C 1c is an integer. 15. (IMO) Explain how to write 100 as a sum of naturals whose product is as large as possible. 16. (Russia)8 The leftmost digit of the decimal representations of the natural numbers 2n and 5n is the same. Prove that such digit is equal to 3. 17. (Russia) Let a, b, c and d be positive real numbers. Show that, among the inequalities a C b < c C d; .a C b/.c C d/ < ab C cd and .a C b/cd < ab.c C d/; at least one is false.

8

For a converse to this problem, see Example 10.60.

12

1 The Set of Real Numbers

1.3 Completeness of the Real Number System For the time being, we postulate that to every sequence .a1 ; a2 ; a3 ; : : :/ of digits, there corresponds a unique x 2 R, in the following sense: for a fixed maximum error 101n , with n 2 N, we have 0x

a

1

10

C

1 ak a2  n; C    C 102 10k 10

for every natural k  n. In particular, it follows from this inequality that x

a1 a2 ak 1 C 2 C  C k C n; 10 10 10 10

for every k  n. Taking k D n and recalling that aj  9 for every j, we get a2 a1 C 2 10 10 9 9 C 2  10 10 9 9 C 2 D 10 10 9 9 C 2 D 10 10

x 

an1 an 1 C nC n 10n1 10 10 9 9 1 C    C n1 C n C n 10 10 10 9 1 C    C n1 C n1 10 10 1 C    C n2 10 CC

D    D 1; Thus, 0  x  1. As a shorthand to the above postulate, we say that the set R of real numbers is complete. In this respect, we refer the reader to Section 7.1, as well as to Problem 9, page 242, where the completeness of the real number system will be more rigorously discussed. Conversely, we also postulate that to every positive real number x there corresponds a nonnegative integer m and a sequence .a1 ; a2 ; a3 ; : : :/ of digits, such that x D m C 0:a1 a2 a3 : : :, in the sense of the previous paragraph. If m > 0 and m D bn : : : b1 b0 , with the bi ’s being their digits, we write x D bn : : : b1 b0 :a1 a2 a3 : : : and say that bn : : : b1 b0 :a1 a2 a3 : : : is the decimal representation or expansion of x. As was seen in Problem 2, page 7, a real number is rational exactly when its decimal representation is finite or infinite and periodic. On the other hand, a real number which is not rational is said to be irrational. Thus, irrational numbers are those real numbers which cannot be written as quotients of two integers, or, in another way, those reals whose decimal representations are infinite and nonperiodic.

1.3 Completeness of the Real Number System

13

Up to the present, the only irrational number we have met was the number 0;0101101110 : : : (cf. Example 1.1). In a sense, such an example is pretty dissatisfying, for it is difficult to manipulate this number (i.e., it is difficult to make calculations with it). We will remedy this situation in what follows. From an arithmetic point of view, one great advantage of the set of reals, in comparison to the set of rationals, is the possibility of making root extractions of positive real numbers. More precisely, given a real number x > 0 and a natural number n, it is possible to prove (and we will do so, in two different ways, in sections 7.1 and 8.3) that there exists a unique positive real number y such that yn Dpx. From now on, we shall call this real number y the nth root of x, and write y D n x; the natural n is the index of the root. In short, p y D n x , x D yn : Indices n D 2 and n D 3 occur so frequently that deserve and p special names p 2 notations. When n D 2 (and x > 0), we write simply x, instead of x, p p and say that x is the square root of x; when n D 3 (and x > 0), we say that 3 x is the cubic root of x. The argument in the next example allows us to heuristically understand why roots of positive reals do exist. p 2 Example 1.6 By definition, we have p 2 D 2. Since 12 < 2 < 22 , the result 2 2 of Problem 11, page 11, gives 1 < 2 < 2. Now, p since 1:4 < 2 < 1:5 , it follows once again from that problempthat 1:4 < 2 < 1:5. Analogously, since 1:412 < 2 < 1:422 , we have 1:41 < 2 < 1:42. Continuing this way, we obtain apunique list .a1 D 4; a2 D 1; a3 D 4; : : :/ of digits, such that 1:a1 a2 : : : an1 an < 2 < 1:a1 a2 : : : an1pa0n for all n  1, where a0n D an C 1. Thus, we have no option but to conclude that 2 D 1:a1 a2 a3 : : : D 1:414 : : :. At this point, we urge the reader to at least read the statements of Problems 1 and 2, page 14, to get an idea on how to (partially) extend the concept of nth root to negative reals, as well as to take a look at the main properties of root extraction. We now turn to powers of natural numbers. A perfect square is a natural number which can be written in the form m2 , for some m 2 N; hence, the perfect squares are the natural numbers 12 D 1, 22 D 4, 32 D 9, 42 D 16 etc. A perfect cube is a natural number which can be written in the form m3 , for some m 2 N; the perfect cubes are, then, the naturals 13 D 1, 23 D 4, 33 D 27, 43 D 64 etc. More generally, a natural n is a perfect power if there exist natural numbers n and k, with k > 1, such that n D mk . If this is the case, we say that n is a k-th perfect power, i.e., is equal to one of the natural numbers 1k , 2k , 3k , 4k etc. Equivalently, to psay that n 2 N is a kth perfect power is the same as to say that its kth root, k n, is a natural number. The following proposition, which by now we take for granted, gives an infinite supply of examples of irrational numbers, which, as we will see in a moment, are more or less easy to handle. For a proof of it, we refer the reader to Chap. 6 of [5]. (Nevertheless, see Problems 7 and 8.)

14

1 The Set of Real Numbers

Proposition 1.7 p Given natural numbers n and k, with k > 1, either n is a k-th perfect power or k n is an irrational number. p p p According to the above proposition, numbers like 2, 3 3, 5 10 etc are all examples of irrationals (for 2 is not a perfect square, 3 is not a perfect cube and 10 is not a perfect 5th power). Now we can, at least formally (i.e., without worrying with approximations), operate with several irrational numbers. Let us see an example where we (indirectly) apply the last proposition to explain why a certain real number is irrational. p p p p Example 1.8 The number 2 C 3 is irrational. In fact, if we let r D 2 C 3, there are two possibilities: r 2 Q or r 62 Q. Suppose, for the sake of contradiction, that r 2 Q. Then, since the set of rationals is closed with respect to multiplication, we would have r2 2 Q. On the other hand, the distributivity of multiplication with respect to addition gives p p p p r2 D . 2 C 3/. 2 C 3/ p p p p p p D 2. 2 C 3/ C 3. 2 C 3/ p p D .2 C 6/ C . 6 C 3/ p D 5C2 6 p p 2 so that 6 D r 25 . Therefore, 6 would be the quotient of the rational numbers p r2  5 and 2 and, as such, 6 would be itself a rational number. This contradicts the result of Proposition 1.7, so that r … Q. In order to finish our discussion on rational and irrational numbers, note that the set of irrationals is not closed with respect to the ordinary arithmetic operations. For instance, for a given irrational number r, although r is also irrational, p we have r C .r/ D 0, which is a rational. On the other hand, if we set r D 2, we get r  r D r2 D 2, which is also a rational. Finally, if r ¤ 0, then the quotient of r by itself is equal to 1, again a rational number.

Problems: Section 1.3 p 1. * Given x < 0 real and n 2 N odd, let y D  n x. Prove that yn D x (so that the real number y is also called the nth root of x). 2. * Given m; n 2 N and x; y > 0, prove that: p p p (a) n xy D n x n y. pp p mn x D pm n x. (b) q n x (c) n xy D p n y.

1.4 The Geometric Representation

3. 4. 5. 6. 7.

8.

15

Then, extend the above properties to all nonzero reals x and y, provided m and n are odd naturals. * Let a and b be rational numbers, and let r be an irrational one. If a C br D 0, prove that a D b D 0. Let a, b, c and d be rational numbers, and let r be an irrational one. If a C br D c C dr, prove that a D c and b D d. Let r be a positive real and let pk be an integer greater than 1. If r is irrational, prove that the numbers 1r and k r are also irrational. p p (Canada) Let a; b and c be rational numbers, such that a C b 2 C c 3 D 0. Prove that a; b and c are all equal to zero. * Assuming the validity of the Fundamental Theorem of Arithmetic (according p to the last paragraph of the introduction to this chapter), prove that 2 is an irrational number. p Let p be a prime number, and k > 1 be natural. Prove that k p is irrational.

1.4 The Geometric Representation A quite useful way of thinking geometrically on the set of rational numbers is the following: we take a line r, and mark on it a point O; then, we choose one of the halflines that O determines on r, call it positive (the other being called negative) and set a line segment ` as unit of measure. Then, we associate to each rational number a point of r, in the following way: first, we associate 0 to the point O; then (according to Figure 1.1), given a rational number ab , with a; b 2 N, we mark, starting from O and on the positive half-line, a line segment OA of length a` (i.e., OA is obtained by juxtaposition of a segments equal to `). If b D 1, we associate a1 D a to the point A. If b > 1, we divide OA into b equal line segments, by plotting b  1 points on OA; from these b  1 points, we let B denote the one closest to O, and associate ab to the point B. It is not difficult to show (cf. Problem 1) that this geometric construction is consistent, in the sense that, by changing ab for another equivalent fraction, we get the same point B on r. Moreover, an analogous construction can obviously be made for the negative rationals, marked on the negative half-line. By proceeding as described in the previous paragraph, it happens that there are lots of points on r which are not associated to any rational number. In order to give a simple example, let A be the point associated to the number 1, and construct a square a b

a ... O B Fig. 1.1 plotting rationals on a real line.

A

r

16

1 The Set of Real Numbers

C

O

B

A E

r

Fig. 1.2 a point that doesn’t represent any rational number.

OABC, as shown in Figure 1.2. By using a compass, mark on the positive half-line a 9 10 point E such that OE D p OB. Since OA D 1,pit follows from Pythagoras Theorem that OE D OB D 2. However, since 2 is irrational (cf. Proposition 1.7 or Problem 7, page 15), we conclude that E is not associated to any rational number. At this point, two natural questions pose themselves: is it possible to mark on r all of the real numbers? If we assume that the answer to the previous question is yes, then, after we mark all reals on r, will there be unmarked points on r? One of the axioms of Plane Euclidean Geometry11 , stated below, assures that the answers to these two questions are, respectively, yes and no. Axiom 1.9 There is a one-to-one correspondence between the points on an Euclidean line r onto the set of real numbers, which is completely determined by the following choices: (a) A point O on r, to represent the real number 0. (b) A half-line, among those that O determines on r, where we mark the positive reals. (c) A point on the half-line of item (b), to represent the number 1. If we fix choices on a line r as specified by the above axiom, we say that r is the real line (cf. Figure 1.3). For further use, we need the following definition. Definition 1.10 For given real numbers a < b, we set12 : (i) Œa; b D fx 2 RI a  x  bg.

9

Pythagoras of Samos was one of the greatest mathematicians of classical antiquity. The theorem that bears his name was already known to babylonians, at least two thousand years before he was born; nevertheless, Pythagoras was the first one to prove it. It is also attributed to him the first proof p of the irrationality of 2. 10 We recall that Pythagoras’ Theorem, one of the most celebrated (and important) results of Plane Euclidean Geometry, says that, in every right triangle, the square of the length of the hypotenuse equals the sum of the squares of the lengths of the legs. For two different proofs of it, see chapters 4 and 5 of [4]. 11 For an axiomatic construction of plane Euclidean Geometry, we refer the reader to [16]. 12 We call the reader’s attention to the less common notations Œa; bŒ instead of Œa; b/, a; b instead of .a; b, a; bŒ instead of .a; b/, Œa; C1Œ instead of Œa; C1/ and   1; aŒ instead of .1; a/.

1.4 The Geometric Representation

(ii) (iii) (iv) (v) (vi) (vii) (viii)

17

Œa; b/ D fx 2 RI a  x < bg. .a; b D fx 2 RI a < x  bg. .a; b/ D fx 2 RI a < x < bg. Œa; C1/ D fx 2 RI a  xg. .a; C1/ D fx 2 RI a < xg. .1; a D fx 2 RI x  ag. .1; a/ D fx 2 RI x < ag.

An interval in R is the set R itself, or a subset of R of any of the seven types above. Observe that, in the real line, an interval corresponds to a line segment (perhaps with the exclusion of one or both of its end points), to a half-line (perhaps with the exclusion of its real end point), or even to the whole real line. Remarks 1.11 i. We stress that the symbols C1 and 1 (one respectively reads plus infinite and minus infinite) do not represent real numbers. They merely serve to point out that, in each of the items (v), (vi), (vii), (viii) above, the corresponding intervals do contain all reals greater than or equal to (resp. greater than), or less than or equal to (resp. less than) a. ii. According to the previous definition, we shall denote R D .1; C1/. Given real numbers a < b, we say that a and b are the endpoints and that b  a is the length of each one of the intervals of items (i) to (iv), in the previous definition. In this case, we also say that those intervals have finite length. Analogously, the real number a is the (only) endpoint of each of the intervals of items (v) to (viii), which have infinite (i.e., not finite) lengths. An interval in R is bounded provided it has finite length; otherwise, the interval is said to be unbounded. In particular, the bounded intervals of R are precisely those of items (i) to (iv), in the previous definition. If a bounded interval has endpoints a < b, we shall say that it is closed, closed on the left, closed on the right or open when such an interval is respectively equal to Œa; b, Œa; b/, .a; b or .a; b/. Alternatively, we say that Œa; b/ is open on the right and .a; b is open on the left. Finally, infinite intervals are named accordingly, by using obvious extensions of the above terminologies. Figure 1.3 shows the interval Œa; b/,

0

a

Fig. 1.3 the open on the right interval Œa; b/.

b

R

18

1 The Set of Real Numbers

Problems: Section 1.4 1. * With respect to the geometric interpretation of rational numbers, discussed at section 1.4, let the fractions ab and dc be given, where a; b; c; d 2 N. If ab D dc , explain why the construction given in the text associates both these fractions to the same point of the real line.

Chapter 2

Algebraic Identities, Equations and Systems

The rest of this volume, up to Chap. 5, approaches and develops several tools necessary for an adequate presentation of the material in volumes 2 and 3. We start by studying, in this chapter, some important algebraic identities, equations and systems of equations.

2.1 Algebraic Identities Through the rest of these notes, we refer to a varying real number as a real variable.1 In general, real variables will be denoted by lower case Latin letters, for example a, b, c, x, y, z etc (an important exception to this usage is mentioned in the next paragraph). An algebraic expression, or simply an expression, is a real number formed from a finite number of real variables, possibly with the aid of one or more algebraic operations, i.e., additions, subtractions, multiplications, divisions, power computations and root extractions (whenever the results of these operations make sense in R). In particular, every real variable can be seen as an algebraic expression. For another example, xC

p p y  x2 z C 3 5 x2 yz3  x4 yz

is an algebraic expression which makes sense for all reals x; y; z, such that y > 0 and z ¤ 0 (recall that Problem 1, page 14, assures that we can extract roots of odd index of any real number). We shall denote algebraic expressions by upper case latin letters, as E, F etc.

1

In [5], we shall have the opportunity to consider complex variables.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_2

19

20

2 Algebraic Identities, Equations and Systems

We say that an algebraic expression E is a monomial if E is a product of a given nonzero real number by powers of its variables, each of which having nonnegative integer exponents. Thus, the monomials in the real variables x and y are the expressions of the form axk yl , where a ¤ 0 is a given real number and k; l  0 are nonnegative integers (here, we adopt the convention that xk D 1 whenever k D 0, and yl D 1 whenever l D 0—see Problem 4, page 11). For an arbitrary monomial, the given nonzero real number that plays the role of a in axk yl is called its coefficient. Hence, the monomials in x; y with coefficient 2 are those of one of the forms 2; 2x 2y; 2x2 ; 2xy; 2y2 ; 2x3 ; 2x2 y; 2xy2 ; 2y3 etc: A polynomial expression or simply a polynomial is (an expression that is) a finite sum of monomials, as, for instance, 2 C 3xy 

p 2 5x yz:

The coefficients of a polynomial are the coefficients of its monomials. Let E and F be algebraic expressions. We say that equality E D F is an algebraic identity provided it is true for all possible values of the involved real variables. In order to give a relevant example, let us consider the algebraic expression E D .x C y/2 . The elementary properties of the operations of addition and multiplication of real numbers (i.e., commutativity and associativity of addition and multiplication, as well as distributivity of multiplication with respect to addition) give E D .x C y/.x C y/ D x.x C y/ C y.x C y/ D .x2 C xy/ C .yx C y2 / D x2 C 2xy C y2 ; for all values of the real variables x and y. Therefore, by setting F D x2 C 2xy C y2 , we obtain the algebraic identity E D F, i.e., .x C y/2 D x2 C 2xy C y2 ;

(2.1)

to which we refer, from now on, as the formula for the square of a sum of two real numbers. The following proposition collects some important algebraic identities, which the reader must keep for future use. Proposition 2.1 For all x; y; z 2 R, we have: (a) x2  y2 D .x  y/.x C y/. (b) .x ˙ y/2 D x2 ˙ 2xy C y2 . (c) x3 ˙ y3 D .x ˙ y/.x2  xy C y2 /.

2.1 Algebraic Identities

21

(d) .x ˙ y/3 D x3 ˙ y3 ˙ 3xy.x ˙ y/. (e) .x C y C z/2 D x2 C y2 C z2 C 2xy C 2xz C 2yz. Proof We let the proofs of items (a)–(c) as exercises (see Problem 1), observing that the identity of item (b), with the C sign, was established in (2.1). In item (d), let us prove the identity for .x C y/3 ; that for .x  y/3 is totally analogous: by invoking the distributivity of the multiplication with respect to addition, as well as identity (2.1), we get .x C y/3 D .x C y/.x C y/2 D x.x C y/2 C y.x C y/2 D x.x2 C 2xy C y2 / C y.x2 C 2xy C y2 / D .x3 C 2x2 y C xy2 / C .x2 y C 2xy2 C y3 / D x3 C y3 C 3x2 y C 3xy2 D x3 C y3 C 3xy.x C y/: In order to get the result of item (e), we apply that of item (b), with x C y in the place of x and z in the place of y: .x C y C z/2 D Œ.x C y/ C z2 D .x C y/2 C 2.x C y/z C z2 D .x2 C 2xy C y2 / C 2.xz C yz/ C z2 D x2 C y2 C z2 C 2xy C 2xz C 2yz: t u The reader has certainly noticed that, in the previous proposition, one either has: (i) an identity of the form E D F, where E is a product of (at least two) polynomials and F is the sum of monomials we get from expanding the products in E (this is the case of the identities of items (b), (d) and (e)); or else (ii) an identity of the form E D F, where E is a polynomial and F is a product of (at least two) polynomials (as in items (a) and (c) of the previous proposition). In case (ii), we shall sometimes say that F is a factorisation of E, or that it is obtained by factoring out expression E. The coming examples will give us an idea on how to apply the identities collected in the previous proposition to solve several interesting problems. Example 2.2 Let x; y; z be real numbers, not all zero, such that xCyCz D 0. Explain why xy C xz C yz ¤ 0 and, then, compute all possible values of the expression x2 C y2 C z2 : xy C yz C zx

22

2 Algebraic Identities, Equations and Systems

Solution Squaring both sides of x C y C z D 0, it follows from item (e) of Proposition 2.1 that x2 C y2 C z2 C 2.xy C xz C yz/ D 0. If xy C xz C yz D 0, we would have x2 Cy2 Cz2 D 0, and a simple extension of Corollary 1.5 (cf. Problem 2, page 10) would give us x D 0, y D 0 and z D 0, contradicting our hypotheses. Therefore, xyCxzCyz ¤ 0, and it follows from x2 Cy2 Cz2 D 2.xyCxzCyz/ that x2 C y2 C z2 D 2: xy C yz C zx t u Our next example shows how to use the algebraic identities we know so far to prove inequalities.2 Example 2.3 (Poland) For given positive real numbers a and b, prove that 4.a3 C b3 /  .a C b/3 . Proof By expanding the right hand side with the aid of item (d) of Proposition 2.1, it is immediate to see that the inequality we want to prove is equivalent to a3 C b3  a2 b C ab2 . It now suffices to see that a3 C b3  a2 b  ab2 D a3  a2 b C b3  ab2 D a2 .a  b/  b2 .a  b/ D .a2  b2 /.a  b/ D .a C b/.a  b/.a  b/ D .a C b/.a  b/2  0; for a C b > 0 and .a  b/2  0.

t u

We now generalize Example 1.8.

p Example 2.4 (Austria) Let a and b be positive rationals, such that ab is irrational. p p Prove that a C b is also irrational. p p Proof By contraposition, suppose that r D a C b were a rational number. Then, p r2 D a C b C 2 ab would also be rational. However, in such a case, we would have p r2  a  b ; ab D 2 which would be a rational number too, for, in the right hand side of the above equality, both the numerator and the denominator are rational numbers. t u Example 2.5 (Canada) For each natural number n, prove that n.n C 1/.n C 2/.n C 3/ is never a perfect square. 2

We will undertake a thorough discussion of inequalities in Chap. 5 and Sects. 9.7 and 10.8.

2.1 Algebraic Identities

23

Proof Letting p D n.n C 1/.n C 2/.n C 3/, we have p D Œn.n C 3/Œ.n C 1/.n C 2/ D .n2 C 3n/Œ.n2 C 3n/ C 2 D .n2 C 3n/2 C 2.n2 C 3n/ D Œ.n2 C 3n/2 C 2.n2 C 3n/ C 1  1 D Œ.n2 C 3n/ C 12  1: If we set m D n2 C 3n C 1, we have m > 1 and, hence, p D m2  1 > m2  2m C 1 D .m  1/2 : Therefore, p is situated between the consecutive perfect squares .m  1/2 and m2 , so that it cannot be, itself, a perfect square. t u Apart from the algebraic identities collected in Proposition 2.1, another frequently useful one is that given by the equality .x  y/.x  z/ D x2  .y C z/x C yz:

(2.2)

Observe that, at the right hand side of the above expression, both the sum S D y C z and the product P D yz of y and z do appear. An expression of the form x2  Sx C P, where S and P represent the sum and the product of two numbers or expressions, is called a second degree trinomial in x. Hence, writing (2.2) backwards, we can also see it as giving a factorisation for the second degree trinomial x2  Sx C P, where S D y C z and P D yz: x2  Sx C P D .x  y/.x  z/:

(2.3)

The above factorisation is sometimes called Viète’s formula, in honor of the French mathematician François Viète.3 The following example shows us how to apply Viète’s formula. Example 2.6 (Soviet Union) Let a; b and c be pairwise distinct real numbers. Show that the number a2 .c  b/ C b2 .a  c/ C c2 .b  a/ is always different from zero.

3

François Viète, French mathematician of the XVI century. By his pioneerism in the usage of letters to represent variables, Viète is sometimes called the father of modern Algebra.

24

2 Algebraic Identities, Equations and Systems

Proof Letting S denote the given number, we have S D a2 .c  b/ C b2 a  b2 c C c2 b  c2 a D a2 .c  b/ C .b2 a  c2 a/ C .c2 b  b2 c/ D a2 .c  b/ C a.b C c/.b  c/ C bc.c  b/ D .c  b/Œa2  a.b C c/ C bc D .c  b/.a  b/.a  c/; where we used (2.3) in the last equality. Now, it follows from a ¤ b, b ¤ c and c ¤ a that a  b; c  b; a  c ¤ 0, so that S ¤ 0. t u A useful variant of Viète’s formula is the factorisation for the expression x2 C Sx C P, where, as before, S D y C z and P D yz: x2 C Sx C P D .x C y/.x C z/:

(2.4)

If we change S, y and z in (2.3) respectively by S, y and z, we immediately see that (2.4) is indeed equivalent to that factorisation. The next example uses (2.4) to get yet another algebraic identity, which will be further applied in a number of places, both in this volume as well as in [4] and [5]. Example 2.7 For all x; y; z 2 R, we have .x C y C z/3 D x3 C y3 C z3 C 3.x C y/.x C z/.y C z/:

(2.5)

Proof Applying item (d) of Proposition 2.1 twice, first with x C y in place of x and z in place of y, we successively get .x C y C z/3 D Œ.x C y/ C z3 D .x C y/3 C z3 C 3.x C y/zŒ.x C y/ C z D x3 C y3 C 3xy.x C y/ C z3 C 3.x C y/Œ.x C y/z C z2 / D x3 C y3 C z3 C 3.x C y/Œxy C .x C y/z C z2  D x3 C y3 C z3 C 3.x C y/.y C z/.x C z/; where, in the last equality, we have used the variant (2.4) of Viète’s formula.

Problems: Section 2.1 1. * Prove the other items of Proposition 2.1.

t u

2.1 Algebraic Identities

25

2. If m C n C p D 6, mnp D 2 and mn C mp C np D 11, compute all possible p m n values of np C mp C mn . 2   2 , 3. Let a and b be nonzero real numbers, such that a ¤ b; 1. If ba D 1b 1a compute all possible values of 1a C 1b . 4. Given positive real numbers x and y, simplify the expression  2 1  xy p p p : . x  y/2 C 2 xy 5. For x; y; z ¤ 0, such that y C z ¤ 0, simplify the expression .x3 C y3 C z3 /2  .x3  y3  z3 /2 : yCz 6. Let a and b be real numbers such that ab D 1 and a ¤ b. Simplify the expression 

  a  1a b C 1b : a2  b2

7. Let x and y be natural numbers such that x2 C 361 D y2 . Find all possible values of x. 8. Real numbers a and b are such that a C b D m and ab D n. Compute the value of a4 C b4 in terms of m and n. 2 9. If a2 C b2 D 1, find all possible values of 13.ab/ . a6 Cb6 10. (EKMC) Let p a, b, c and d be real numbers such that a2 Cb2 D 1 and c2 Cd2 D1. If acCbd D 23 , compute the value of adbc, provided it is a positive number. 11. (Brazil) Find all natural numbers x and y such that x C y C xy D 120. 12. * Given positive distinct real numbers x and y, prove that the following rationalisations4 are valid: (a) (b) (c)

4

p

p x y xy . p p 3 2 p x  3 xyC 3 y2 1 p p D . 3 x˙ 3 y x˙y p 3 x˙ p 3 1 p D x˙y y . p 3 2 p x  3 xyC 3 y2

p 1p x˙ y

D

In an informal way, one can think of a rationalisation as a way of clearing roots from denominators.

26

2 Algebraic Identities, Equations and Systems

13. * For a natural number n > 1, show that 2 14. Rationalise 15. Rationalise that p

p p p p 1 nC1 n < p 1 integer and a; b 2 R, prove that the following factorizations are valid: (a) an  bn D .a  b/.an1 C an2 b C an3 b2 C    C bn1 /. (b) an C bn D .a C b/.an1  an2 b C an3 b2     C bn1 /, provided n is odd. 19. Write x4 C 4y4 as a product of two non constant polynomials in x and y, both having integer coefficients. 20. (Canada) Let a; b; c 2 Z. Prove that 6 divides a C b C c if and only if 6 divides a 3 C b 3 C c3 . 21. (Canada) If a, b and c are real numbers for which a C b C c D 0, show that a3 C b3 C c3 D 3abc. 22. Prove the double radical formula, also known as Bhaskara’s formula5 : for all positive real numbers a and b, such that a2  b, one has q

5

p a˙ bD

s aC

s p p a2  b a  a2  b ˙ : 2 2

In honor of the Indian mathematician of the XII century Bhaskara II, also known as Bhaskaracharya (Bhaskara, the professor). The idea behind Bhaskara’s formula is that, if a and b are for which a2  b is a perfect square, then his formula provides a simpler expression qnaturals p for a ˙ b.

2.2 The Modulus of a Real Number

27

23. Show that there do not exist nonzero real numbers x, y and z such that x C y C z ¤ 0 and 1 1 1 1 D C C : xCyCz x y z 24. (Soviet Union) Let a, b and c be pairwise distinct rationals. Prove that 1 1 1 C C .b  c/2 .c  a/2 .a  b/2 is the square of a rational. p p p 25. (TT) Let a, b and c be distinct rationals. If 3 a C 3 b 2 Q, prove that 3 a; p 3 b 2 Q. 26. (TT) Let a, b, c, d, e and f be real numbers such that a C b C c C d C e C f D 0 and a3 C b3 C c3 C d3 C e3 C f 3 D 0. If no two of them are opposite to each other, prove that .a C c/.a C d/.a C e/.a C f / D .b C c/.b C d/.b C e/.b C f /: 27. (Poland) For positive integers a  b, do the following items: (a) Show that b3 < b3 C 6ab C 1 < .b C 2/3 . (b) Find all such a and b for which both a3 C 6ab C 1 and b3 C 6ab C 1 are perfect cubes.

2.2 The Modulus of a Real Number We start this section by recalling the definition of modulus of a real number, a concept which will be important in a number of places hereafter. Definition 2.8 For x 2 R, the modulus of x, denoted jxj, is defined as  jxj D

x; if x  0 : x; if x < 0

As p an example, p sincep5 < 0, we have j  5j D .5/ D 5; analogously, j  3j D . 3/ D 3 etc. More generally, an immediate consequence of the definition is that jxj  0 for all x 2 R, with equality if and only if x D 0. Moreover, one always has x  jxj D j  xj;

28

2 Algebraic Identities, Equations and Systems

with equality if and only if x  0. Note also that jxj D

p x2 D max fx; xg:

(2.6)

The simplest modular equation is the equation jx  aj D b; where a and b are given real numbers. Since jx  aj  0, such an equation does not admit roots when b < 0. On the other hand, when b  0, it follows from the definition of modulus that one must have either x  a D b or x  a D b, from where we get the roots x D a C b; a  b: The coming example shows how to solve a more elaborate equation in a single variable, involving the concept of modulus of a real number. Example 2.9 Solve equation jx C 1j C jx  2j C jx  5j D 7. Solution First of all, note that  jx C 1j D

x C 1; if x  1 ; x  1; if x < 1

 jx  2j D

x  2; if x  2 x C 2; if x < 2

and  jx  5j D

x  5; if x  5 : x C 5; if x < 5

Now, the conjunction of the conditions x < 1 or x  1, x < 2 or x  2, x < 5 or x  5 partitions the real line into the intervals .1; 1/, Œ1; 2/, Œ2; 5/ e Œ5; C1/. Hence, in order to simplify the left hand side of the given equation, we separately consider x as varying in each one of these intervals. We thus obtain 8 3x C 6; if ˆ ˆ < x C 8; if jx C 1j C jx  2j C jx  5j D ˆ x C 4; if ˆ : 3x  6; if

x < 1 1  x< 2 : 2x b2 >    > bn . If M1 [ M2 D M and M1 \ M2 D ;, prove that ja1  b1 j C ja2  b2 j C    C jan  bn j D n2 : Proof It follows from (2.8) that n n [ [ fmaxfai ; bi g; minfai ; bi gg D fai ; bi g D f1; 2; 3; : : : ; 2ng: iD1

iD1

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2 Algebraic Identities, Equations and Systems

Also, (2.7) gives ja1  b1 j C ja2  b2 j C    C jan  bn j D D .maxfa1 ; b1 g C maxfa2 ; b2 g C    C maxfan ; bn g/  .minfa1 ; b1 g C minfa2 ; b2 g C    C minfan ; bn g/: On the other hand, given integers 1  k; l  n, with k ¤ l, we have k > l ) maxfak ; bk g  ak > al  minfal ; bl g and k < l ) maxfak ; bk g  bk > bl  minfal ; bl g: Therefore, fmaxfa1 ; b1 g; maxfa2 ; b2 g; : : : ; maxfan ; bn gg D fn C 1; n C 2; : : : ; 2ng and fminfa1 ; b1 g; minfa2 ; b2 g; : : : ; minfan ; bn gg D f1; 2; : : : ; ng: Finally, the above relations give ja1  b1 j C ja2  b2 j C    C jan  bn j D D ..n C 1/ C .n C 2/ C    C 2n/  .1 C 2 C    C n/ D n2 C .1 C 2 C    C n/  .1 C 2 C    C n/ D n2 : t u We continue our study of the concept of modulus with the following important result, which is known in mathematical literature as the triangle inequality.6 Proposition 2.11 For all real numbers a and b, we have ja C bj  jaj C jbj:

(2.9)

Moreover, if a; b ¤ 0, then equality holds if and only if a and b have the same sign.

6 At the end of Sect. 5.2, we will give an explanation of why (2.9), as well as the coming inequality (4.6), are called triangle inequality.

2.2 The Modulus of a Real Number

31

Proof Since ja C bj and jaj C jbj are both nonnegative, we have ja C bj  jaj C jbj , ja C bj2  .jaj C jbj/2 , .a C b/2  jaj2 C jbj2 C 2jabj , 2ab  2jabj; which is clearly true. From the computations above it also follows that ja C bj D jaj C jbj if and only if ab D jabj; in turn, this happens if and only if ab  0. Finally, if a; b ¤ 0, then we have the equality if and only if ab > 0. t u Corollary 2.12 For all real numbers a and b, we have jjaj  jbjj  ja  bj: Moreover, if a; b ¤ 0, then the equality holds if and only if a and b have the same sign. Proof Applying the triangle inequality to a  b in place of a, we get jaj D j.a  b/ C bj  ja  bj C jbj and, hence, jaj  jbj  ja  bj. Repeating the above argument with the roles of a and b interchanged, it follows that jbj  jaj  ja  bj. Now, since ja  bj  jaj  jbj; jbj  jaj, we get ja  bj  maxfjaj  jbj; jbj  jajg D jjaj  jbjj; where we used (2.6) in the last equality. Equality happens if and only if we have equality in at least one of the triangular inequalities jaj  ja  bj C jbj or jbj  jb  aj C jaj. If a; b ¤ 0 and, say, equality holds in the first one of theses inequalities, i.e., if jaj D ja  bj C jbj, then the condition for equality in Proposition 2.11 assures that we must have .a  b/b  0, or, which is the same ab  b2 . In particular, we must have ab > 0. Conversely, suppose that ab > 0, and let us show that equality holds. There are two possibilities: a; b > 0 or a; b < 0. Suppose that a; b < 0 (the other case can be treated in a similar way). Then, jaj D a and jbj D b, so that jjaj  jbjj D j.a/  .b/j D jb  aj D ja  bj. t u Given real numbers a, b and c and applying triangle inequality twice, we get ja C b C cj  ja C bj C jcj  jaj C jbj C jcj;

(2.10)

Hence, we have the inequality ja C b C cj  jaj C jbj C jcj;

(2.11)

32

2 Algebraic Identities, Equations and Systems

which is the analogous of (2.9) for three real numbers, instead of two. Therefore, we shall also refer to this last inequality as the triangle inequality. If a; b; c ¤ 0 and we have equality in (2.11), then we should also have equality in all inequalities in (2.10). In particular, we have ja C bj  jaj C jbj, and it follows from Proposition 2.11 that a and b have equal signs. Since we can also reach (2.11) by writing ja C b C cj  jaj C jb C cj  jaj C jbj C jcj; we conclude, analogously, that b and c should also have equal signs. Conversely, if a, b and c all have equal signs, say a; b; c < 0 (the case a; b; c > 0 is completely analogous), then a C b C c < 0, so that ja C b C cj D .a C b C c/ D .a/ C .b/ C .c/ D jaj C jbj C jcj: Hence, we have just shown that equality holds in (2.11) if and only if a, b and c have equal signs. As we shall see in Sect. 4.1 (cf. Problem 7, page 96), inequalities (2.9) and (2.10) can be easily generalized for n real numbers. For the time being, we end this section with the following Example 2.13 Prove that, for every x 2 R, we have jx  1j C jx  2j C jx  3j C    C jx  10j  25: Proof It follows from the triangle inequality that jx  aj C jx  bj D jx  aj C jb  xj  j.x  a/ C .b  x/j D jb  aj: Hence, grouping the summands at the left hand side in pairs, we get, jx  1j C jx  10j  j10  1j D 9I jx  2j C jx  9j  j9  2j D 7I jx  3j C jx  8j  j8  3j D 5I jx  4j C jx  7j  j7  4j D 3I jx  5j C jx  6j  j6  5j D 1: Adding these inequalities, we obtain that of the statement.

t u

2.3 A First Look at Polynomial Equations

33

Problems: Section 2.2 1. * Given real numbers a and b, show that 8 < ;; if b < 0 : fx 2 RI jx  aj < bg D fag; if b D 0 : .a  b; a C b/; if b > 0 Do the same for jx  aj  b, jx  aj > b and jx  aj  b. 2. * Prove that, for all x; y 2 R, one has jxyj D jxj  jyj. 3. Solve, for x 2 R, the following equations: (a) jxj D x  6. (b) jx C 1j C jx  2j C jx  5j D 4. 4. Solve, for x 2 R n f0; 1g, equation jxj D jx1j . x x1 5. Let a, b and c be given real numbers, with a < b. Discuss, in terms of a, b and c, the number of solutions of the equation jx  aj C jx  bj D c: 6. (Mexico) Let r be a nonnegative rational number. Prove that ˇ ˇ p ˇr C 2 p ˇ 1 ˇ ˇ < jr  2j:  2 ˇr C 1 ˇ 2 (This inequality shows that the rational number better as r does it.) 7. Prove that:

rC2 rC1

approximates

p 2 twice as

(a) If 0  x  y, then (b) If a; b 2 R, then

y x  1Cy . 1Cx jaj jbj 1Cjaj C 1Cjbj



jaCbj 1CjaCbj .

8. Let n > 1 be an integer. Prove that jx  1j C jx  2j C    C jx  2nj  n2 for every real x, with equality for infinitely many values of x.

2.3 A First Look at Polynomial Equations In this section we study some particular types of polynomial equations, postponing a much deeper look to [5].

34

2 Algebraic Identities, Equations and Systems

In general, a polynomial equation of degree n is an equation of the form an xn C an1 xn1 C    C a1 x C a0 D 0;

(2.12)

where n  1 is an integer and a0 ; a1 ; : : : ; an are given real numbers,7 with an ¤ 0. The simplest kind of such an equation is the first degree equation ax C b D 0, where a and b are given real numbers and a ¤ 0. As the reader certainly knows, we have b ax C b D 0 , ax D b , x D  ; a so that  ba is its only root. The second simplest kind of polynomial equation is the second degree equation ax2 C bx C c D 0;

(2.13)

where a, b and c are given real numbers, with a ¤ 0. For reasons that will soon be clear, the left hand side of (2.13) is also known as the second degree trinomial associated to Eq. (2.13). In order to solve (2.13), we let  (one reads delta) denote the real number  D b2  4ac; and call it the discriminant of the equation (or of the associated trinomial). As we shall see in a moment, the sign of  discriminates whether or not the equation has real roots. To this end, we need the following auxiliary result. Lemma 2.14 Given a; b; c 2 R, with a ¤ 0, one has # "  b 2   2 : ax C bx C c D a x C 2a 4a 2

(2.14)

This algebraic identity is called the canonical form of the second degree trinomial ax2 C bx C c.

7

Here, we are using the concept of a sequence of real numbers. For further details in this respect, we refer the reader to Chap. 3.

2.3 A First Look at Polynomial Equations

35

Proof It suffices to see that   c b ax2 C bx C c D a x2 C x C a a  b b2 b2 D a x2 C x C 2  2 C a 4a 4a

 2  b b2 b D a x2 C x C 2  2 a 4a 4a " # 2 b  D a xC  2 : 2a 4a

c a



4ac C 2 4a



t u Remark 2.15 The idea of adding and subtracting a certain summand out of a given algebraic expression in order to complete a square, as was done right after the second equality in the proof of the previous lemma, is very important and should be learned as a kind of algebraic trick that will be useful in a number of places, here as well as in [4] and [5]. Later in this chapter, we shall see other interesting applications of such a technique. Proposition 2.16 Let a, b and c be given real numbers, with a ¤ 0. (a) The equation ax2 C bx C c D 0 has real rootspif and only if   0. Moreover, p if this is so, then its roots are b2a  and bC2a  . (b) If   0, then the sum S and the product P of the roots of ax2 C bx C c D 0 are given by S D  ba and P D ac . Proof (a) It follows from (2.14) that   b 2  D 2: ax C bx C c D 0 , x C 2a 4a 2

 Since x C

 b 2 2a

(2.15)

 0 for all x 2 R, if the equation has real roots, then one must

b have   0. In this case, it transpires from (2.15) that x C 2a D˙ (a) follows. (b) It suffices to compute

p p b   b C  b C D 2a 2a a

p

 2a ,

and item

36

2 Algebraic Identities, Equations and Systems

and  b  p  b C p 2a Remarks 2.17

2a

D

.b/2   c D : 2 4a a

t u

p

i. When   0, formulae b˙2a  for the roots of ax2 C bx C c D 0 are known as Bhaskara’s formulae. ii. The formulas of item (b) are also known as Viète’s formulae. iii. In the notations of item (a), if  D 0 we say that ax2 C bx C c D 0 has two equal roots. The coming example shows how one can reduce a seemingly complicated equation to a simpler one by means of a suitable substitution of variable. Example 2.18 (Brazil) Find all real numbers x such that x2 C x C 1 D

156 . x2 Cx

Solution By performing the substitution y D x2 Cx, we get the equation yC1 D 156 y or, which is the same, y2 C y  156 D 0. For this last equation, since  D 12  4.156/ D 625 D 252 , it follows that y D 1˙25 D 13 or 12. Thus, we have 2 reduced the original equation to the second degree equations x2 C x D 13 and x2 C x D 12. For the first one, we have  D 51 < 0, so that there are no real roots. For the second,  D 49 and, hence, x D 1˙7 D 4 or 3. t u 2 Our next example shows that it is sometimes more useful to algebraically manipulate a second degree equation than to solve it explicitly. p p Example 2.19 Find the numerical value of .3C 2/5 C.3 2/5 without expanding the powers involved. p p Proof Letting u D 3 C 2 and v D 3  2, we have u C v D 6 and uv D 7, so that u and v are the roots of the equation x2  6x C 7 D 0. Therefore, making x D u and x D v in this equation gives us u2  6u C 7 D 0 and v 2  6v C 7 D 0, or, equivalently, u2 D 6u  7 and v 2 D 6v  7. Multiplying the first equality by uk and the second one by v k , where k  0 is an integer, we get ukC2 D 6ukC1  7uk and v kC2 D 6v kC1  7v k I adding both of these, we finally arrive at ukC2 C v kC2 D 6.ukC1 C v kC1 /  7.uk C v k /:

2.3 A First Look at Polynomial Equations

37

Writing the previous relation for k respectively equal to 0, 1, 2 and 3, we successively get u2 C v 2 D 6.u C v/  7  2 D 6  6  14 D 22I u3 C v 3 D 6.u2 C v 2 /  7.u C v/ D 6  22  7  6 D 90I u4 C v 4 D 6.u3 C v 3 /  7.u2 C v 2 / D 6  90  7  22 D 386I u5 C v 5 D 6.u4 C v 4 /  7.u3 C v 3 / D 6  386  7  90 D 1686: t u For the next example, recall that if the sum and the product of two real numbers are positive, then both numbers are also positive. Example 2.20 Let p and q be given real numbers. If the equation x2 C px C q D 0 has real, positive and distinct real roots, show that the same is true for the equation qx2 C .p  2q/x C .1  p/ D 0. Proof Note initially that q ¤ 0, for otherwise the first equation would reduce to x2 C px D 0, which has 0 as one of its roots, thus contradicting our hypotheses. Now, let  and 0 be, respectively, the discriminants of x2 C px C q D 0 and qx2 C .p  2q/x C .1  p/. Let us first show that 0 > 0, which will guarantee that the second equation has distinct real roots. Since x2 C px C q D 0 has distinct real roots, we have  D p2  4q > 0. Therefore, 0 D .p  2q/2  4q.1  p/ D p2  4q C 4q2 D  C 4q2 > 0: Finally, according to the paragraph that immediately precedes this example, in order to show that the roots of qx2 C .p  2q/x C .1  p/ D 0 are positive, it suffices to show that the sum S0 and the product P0 of them are both positive. In order to do this, we recall that the roots of x2 C px C q D 0 are known to be positive, so that (by Viète’s formulae) p > 0 and q > 0. Hence, again by Viète’s formulae, we have S0 D

p 1 p 2q  p 1p D2C > 0 and P0 D D C > 0; q q q q q t u

as we wished to show.

We finish our discussion of second degree equations with the following important remark: if a ¤ 0 and ax2 CbxCc D 0 has real roots ˛ and ˇ (not necessarily ˛ ¤ ˇ), then we have the factorisation ax2 C bx C c D a.x  ˛/.x  ˇ/:

(2.16)

38

2 Algebraic Identities, Equations and Systems

In fact, it follows from item (b) of Proposition 2.16 that, for every real x, a.x  ˛/.x  ˇ/ D aŒx2  .˛ C ˇ/x C ˛ˇ   

c b xC D a x2   a a D ax2 C bx C c: It is instructive to compare (2.16) to (2.2). The right hand side of (2.16) is called the factorised form of the second degree trinomial ax2 C bx C c. In turning to more general polynomial equations, it is natural to try to look at those of degrees n D 3 and n D 4. In these cases, formulas have been built, in terms of the coefficients of the equations, to compute their real roots, if any.8 As professor I. Stewart teaches us in Chap. 4 of his very interesting book [25], such formulas derive from the works of the Italian mathematicians Scipione del Ferro, Girolamo Cardano, Niccolò Fontana (conhecido como Tartaglia) and Lodovico Ferrari. However, they are too complicated to be useful, and for this reason we shall not discuss them here. In order to help convincing the reader, let us just mention that Cardano’s formula for the roots of the third degree polynomial equation ax3 C bx2 C cx C d D 0 is the following9: q 3

q p p 3 2 2 3 q C q C .r  p / C q  q2 C .r  p2 /3 C p;

b c where p D  3a , q D p3 C bc3ad and r D 3a (however, see Problems 16, 21 and 22). 6a2 For polynomial Eq. (2.12) of degree n  5, the Norwegian mathematician Niels H. Abel10 and the French mathematician Évariste Galois,11 both of the XIX century, proved that there exists no similar formula, built on the coefficients of the given polynomial equation, that gives its real (or even complex!) roots. Well understood, it doesn’t matter how smart someone is; they proved that it is impossible to find such a formula, simply because it doesn’t exist! For a beautiful and elementary account of the ideas involved, we refer the reader to [14]. Some particular kinds of polynomial equations of degrees 4 and 6, however, are sufficiently simple to deserve some attention, specially because appropriate

8

As it happens, these formulas also give the complex roots of the corresponding equations. However, we shall postpone any considerations involving complex numbers to [5]. 9 Cf. http://www.math.vanderbilt.edu/~schectex/courses/cubic. 10 In his 27 years of life, Abel made several deep contributions to Mathematics, among which the most famous one is perhaps the impossibility of solving general polynomial equations of degree 5. 11 In spite of his premature death, when he was only 21 years old, Galois is considered to be one of the greatest mathematicians the world has ever seen. His work on the connection between the solvability of polynomial equations of degrees n  5 and Group Theory constitute the foundations of what is known today as Galois’ Theory, a branch of modern Algebra with applications to several distinct areas of Mathematics.

2.3 A First Look at Polynomial Equations

39

variable substitutions immediately reduce them to second degree equations. Let us first examine biquadratic, i.e., equations of the form ax4 C bx2 C c D 0;

(2.17)

with a; b; c 2 R and a ¤ 0. The variable substitution y D x2 transforms it into the second degree equation ay2 C by C c D 0, which we already know how to solve in R. Therefore, for each nonnegative root y D p ˛ of this last equation, solving equation x2 D ˛ gives us the pair of real roots x D ˙ ˛ of the original biquadratic equation. Conversely, if x D ˇ is a real root of the given biquadratic equation, it is immediate to see that y D ˇ 2 is a nonnegative root of the second degree equation ay2 C by C c D 0. We have, thus, proved the following result. Proposition 2.21 Given real numbers a, b and c, with a ¤ 0, the real p roots of the biquadratic equation ax4 C bx2 C c D 0 are the reals of the form ˙ ˛, where ˛ is a nonnegative root of the second degree equation ay2 C by C c D 0. In order to actually compute the real roots of a specific biquadratic equation, instead of invoking the last proposition, it is usually much better to recall our previous discussion, remembering that the variable substitution y D x2 does the job of reducing it to a second degree equation. Example 2.22 Find the real roots of the biquadratic equation x4 C 5x2  7 D 0. Solution The variable substitution y D x2 leads us to the second degree equation y2 C 5y  7 D 0, for which  D 53. Hence, the roots of this last equation are p p y D 5˙2 53 . Since 52 53 < 0, the real roots of the original biquadratic equation q p p are the solutions of x2 D 5C2 53 , i.e., are the real numbers ˙ 5C2 53 . t u Given n 2 N, we point out that we can discuss the problem of finding the roots of a polynomial equation of the form ax2n C bxn C c D 0

(2.18)

in a way quite similar to that used to study biquadratic equations. We refer the reader to Problem 16 for the corresponding details. Let us now examine reciprocal polynomial equations of degree 4, i.e., polynomial equations of degree 4 having the form ax4 C bx3 C cx2 C bx C a D 0; where a, b and c are given real numbers, with a ¤ 0. As Problem 28 shows, the name reciprocal applies to a larger class of polynomial equations, and comes from the fact that x 2 R n f0g is a real root of it if and only if 1x also is. Initially, note that 0 is not a root of the equation above, for a ¤ 0. Therefore, a real number x is a root of it if and only if it is a root of the equation

40

2 Algebraic Identities, Equations and Systems

ax2 C bx C c C

a b C 2 D 0; x x

(2.19)

which is obtained from the original equation by dividing both sides of the equality by x2 . Rewrite the left hand side of the last equation above as     1 1 2 C c D 0: a x C 2 Cb xC x x Now, the idea is to perform the variable substitution y D xC 1x . In order to implement it, let us first of all note that, according to (2.1), one has   1 2 1 y2 D x C D x2 C 2 C 2 : x x Hence, x2 C x12 D y2 2, so that solving (2.19) amounts to solving the second degree equation a.y2  2/ C by C c D 0:

(2.20)

However, the above discussion hides a subtlety: it is sure that every real root x D ˛ of (2.19) generates the real root ˇ D ˛ C ˛1 of a.y2  2/ C by C c D 0. Nevertheless, the converse statement is not true: not every real root y D ˇ of this last equation does generate real roots x D ˛ of the initial reciprocal equation. In fact, once we get a real root y D ˇ of a.y2  2/ C by C c D 0, in order to obtain the possible real roots of the reciprocal equation corresponding to ˇ, we have to solve in R the equation xC

1 D ˇ; x

or, which is the same, x2  ˇx C 1 D 0. Since the discriminant of this last equation is  D ˇ 2  4; it will have real root only if ˇ 2  4  0, i.e., only if jˇj  2. As was the case with biquadratic equations, in order to actually find the real roots of a given reciprocal equation of degree 4, instead of memorizing the result of the variable substitution y D x C 1x , it is more profitable to follow the steps that led us from (2.19) to (2.20). Let us see an example in this respect. Example 2.23 Find all real roots of the reciprocal equation 2x4 C 5x3 C 6x2 C 5x C 2 D 0:

2.3 A First Look at Polynomial Equations

41

Solution Dividing both sides by x2 and grouping summands, we obtain     1 1 2 C 6 D 0: 2 x C 2 C5 xC x x Making the variable substitution y D x C 1x , it follows that y2 D x2 C x12 C 2, so that the given equation is equivalent to 2.y2  2/ C 5y C 6 D 0: Since this second degree equation has real roots y D 2 and y D  12 , it follows that the real roots of the original equation are the real roots of the equations x C 1x D 2 and x C 1x D  12 . The first of these equations is equivalent to x2 C 2x C 1 D 0 and, hence, has two real roots, both equal to 1. The second is equivalent to 2x2 CxC2 D 0, which has discriminant  D 15 < 0; therefore, it has no real roots. t u

Problems: Section 2.3 1. Let b and c be given real numbers, such that the equation x2 C bjxj C c D 0 has real roots. Prove that the sum of these roots is always equal to 0. 2. Solve, for x 2 R, the following equations: p D 10. (a) p x C x C 2p p (b) x C 10  2x C p 3 D 1  3x. (c) x2 C 18x C 30 D 2 x2 C 18x C 45. p 3. (IMO) In each of the cases (a) A D 2, (b) A D 1 and (c) A D 2, find all x 2 R for which we have q q p p x C 2x  1 C x  2x  1 D A: 4. A math teacher composed three different quizzes. In the first one, he put a second degree equation. In the second, he put almost the same equation, changing just the coefficient of the monomial of second degree. Finally, in the third quiz, once more he put almost the same equation of the first, this time changing just the constant coefficient. It is known that the roots of the equation of the second quiz are 2 and 3, and that those of the third one are 2 and 7. Decide whether the second degree equation of the first quiz has real roots and, if this is so, compute them. 5. Let a and b be two distinct, nonzero real numbers. If a and b are the roots of the equation x2 C ax C b D 0, find all possible values of a  b.

42

2 Algebraic Identities, Equations and Systems

6. Let ˛ and ˇ be the roots of x2  13x C 9 D 0, and a and b be real numbers such that the equation x2 C ax C b D 0 has roots ˛ 2 and ˇ 2 . Compute the value of a C b. 7. Equation x2 Cx1 D 0 has roots u and v. Find a second degree equation whose roots are u3 and v 3 . 8. The roots of the equation x2  Sx C P D 0 are the real numbers ˛ and ˇ. Find a second degree trinomial whose coefficients are expressions built on S and P and whose roots are the real numbers ˛S C P and ˇS C P. 9. Use the theory of second degree developed in this section to compute p equations p the value of the sum .7 C 4 3/5 C .7  4 3/5 . 10. If ˛ is a root of x2  x  1 D 0, find all possible values of ˛ 5  5˛. 11. For which integer values of m does the equation x2 C mx C 5 D 0 have integer roots? 12. Show that, for every a; b; c 2 R, with a ¤ 0, the equation 1 1 1 C D 2 xb xc a has exactly two distinct q real roots. q

13. Solve equation x D x  1x C 1  1x in the set of real numbers. 14. Show that, for every real number a ¤ 0, the equations ax3  x2  x  .a C 1/ D 0 and ax2  x  .a C 1/ D 0 have a common root. 15. (Soviet Union) Do the following items: (a) For real x, write the number x3  3x2 C 5x in the form a.x  1/3 C b.x  1/2 C c.x  1/ C d; with a; b; c; d 2 Z. (b) If x and y are real numbers such that x3 3x2 C5x D 1 and y3 3y2 C5y D 5, compute all possible values of x C y. 16. * Let n 2 N and a; b; c 2 R, with a ¤ 0. Elaborate, for the equation ax2n C bxn C c D 0, a discussion analogous to that made on the text for biquadratic equations, and which led us to Proposition 2.21. 17. * Consider the polynomial equation of third degree x3 C ax2 C bx C c D 0, where a, b and c are given real numbers, with c ¤ 0. If ˛ is a (nonzero) real root of it, prove that there exist real numbers b0 and c0 such that we have the factorisation x3 C ax2 C bx C c D .x  ˛/.x2 C b0 x C c0 /:

2.3 A First Look at Polynomial Equations

43

Then, conclude that the original polynomial equation has at most three (not necessarily distinct) real roots. Moreover, if this is the case, and ˛, ˇ and  are its three real roots, show that x3 C ax2 C bx C c D .x  ˛/.x  ˇ/.x   /: This result generalizes the factorised form (2.16) of a second degree trinomial 12 . p and is a particular case of the division algorithm. p p p 3 3 18. (a) Show that the real number ˛ D 2 C 5 C 2  5 is a root of the equation x3 C 3x  4 D 0. (b) Conclude that ˛ is a rational number. 19. * Establish the following version of Girard’s relations13 between roots and coefficients of a polynomial equation of third degree: if the real numbers a0 , a1 , a2 and a3 (a3 ¤ 0) are such that the equation a 3 x3 C a 2 x2 C a 1 x C a 0 D 0 has (not necessarily distinct) real roots x1 , x2 and x3 , then 8 a2 ˆ < x1 C x2 C x3 D  a3 x1 x2 C x1 x3 C x2 x3 D ˆ : x x x D  a0 1 2 3 a3

a1 a3

:

(2.21)

20. Assume that the equation x3  3x C 1 D 0 has three real roots, say ˛, ˇ and  . Compute the values of ˛ 2 C ˇ 2 C  2 , ˛ 3 C ˇ 3 C  3 and ˛ 4 C ˇ 4 C  4 . 21. Still concerning the third degree polynomial equation x3 C ax2 C bx C c D 0, with a; b; c 2 R, prove that there exists a real number d such that the variable substitution y D x  d transforms the given equation into one of the form y3 C py C q D 0, for certain real numbers p and q. 22. Concerning the equation x3  11x C 16 D 0, do the following items: (a) Substitute x D uCv and get an equivalent equation in the two real variables u and v. (b) Impose that uv D 11 (i.e., make uv equals  13 times the coefficient of x in 3 the original equation) and conclude that the equation in u and v of item (a)  3 is equivalent to u6 C 16u3 C 11 D 0. 3 (c) Find u and v, and conclude that one of the roots of the given equation is s 3

12

p 8 C

s 1191 C 9

3

p 1191 8  : 9

For more details concerning this point, as well as for the generalization of the result of Problem 19, we refer the reader to [5]. 13 After Albert Girard, French mathematician of the XVII century.

44

23. 24. 25. 26.

2 Algebraic Identities, Equations and Systems

The items above describe, by means of a specific example, the ideas behind Cardano’s formula for the roots of a polynomial equation of third degree.  2 * Let x be a nonzero real number, such that x C 1x D 3. Compute all possible values of x3 C x13 . If x is a nonzero real number such that x C 1x D 4, calculate x4 C x14 . 2  2  If x2  x  1 D 0, compute all possible values of x  1x C x3  x13 . (Singapore) If x2  4x C 1 D 0, compute all possible values of 6   x C 1x C 2 3 :  x3 C x13  x C 1x

x6 C

1 x6

27. Solve the reciprocal equation x4  7x3 C 14x2  7x C 1 D 0. 28. Given real numbers a0 ; a1 ; : : : ; an , with an ¤ 0, the polynomial equation an xn C an1 xn1 C    C a1 x C a0 D 0; is said to be reciprocal if ak D ank , for 0  k  n. If ˛ is a real root of such an equation, show that ˛ ¤ 0 and that ˛1 is also a root of it. (Hence, the name reciprocal justifies itself by the fact that reciprocal polynomial equations have real roots which are pairwise reciprocal.14 In this case, one also says that an xn C an1 xn1 C    C a1 x C a0 is a reciprocal polynomial.). 29. Do the following items: (a) * Given a real number x ¤ 0, write x3 C x13 in terms of y D x C 1x . (b) Use the result of (a) to reduce the reciprocal equation ax6 C bx5 C cx4 C dx3 C cx2 C bx C a D 0, of degree 6, to a polynomial equation of degree 3. 30. (Brazil—adapted) We are given nonzero integers a  b, such that the quadratic equation x2 C ax C b D 0 has nonzero integer roots c  d. Then we form the quadratic equation x2 CcxCd D 0 and check if it also has nonzero integer roots. If this is so, we let e  f be those roots and form the quadratic equation x2 C exCf D 0. We proceed in a likewise manner until we reach a quadratic equation with nonzero integer coefficients but with no integer roots. The purpose of this problem is to find all a and b for which this process continues indefinitely. To this end, do the following items: (a) Show that if the process is to continue indefinitely, then we can assume that a > 0 > b and that every subsequent equation x2 C ˛x C ˇ D 0 is also such that ˛ > 0 > ˇ. (b) Under the choices of (a), let x2 C mx C n D 0 and x2 C px C q D 0 be two consecutive equations (i.e., such that p > 0 > q are the roots of the first),

14

We shall see in [5] that the same holds for the complex roots of this equation.

2.4 Linear Systems and Elimination

45

and let  and 0 be their discriminants, respectively. Show that 0 < , unless n D 1 or m D 1, n D 2. (c) Conclude that a D 1 and b D 2 is the only possible choice to begin with.

2.4 Linear Systems and Elimination Let E and F be algebraic expressions in the real variables x1 ; : : : ; xn . By the equation E D F in the real variables or unknowns x1 , . . . , xn , we mean the problem of finding all sequences15 .a1 ; : : : ; an / of real numbers, such that E and F make sense and the equality E D F holds when x1 D a1 , . . . , xn D an . In this case, each such sequence .a1 ; : : : ; an / is said to be a solution of the equation E D F. Now, let E1 , . . . , Em , F1 , . . . , Fm be algebraic expressions in the real variables x1 ; : : : ; xn . The system of equations 8 E1 D F1 ˆ ˆ ˆ < E2 D F2 :: ˆ ˆ : ˆ : Em D Fm

(2.22)

is the problem of finding all sequences .a1 ; : : : ; an / of real numbers, such that the substitutions x1 D a1 , . . . , xn D an solve all of the equations Ej D Fj . As above, each such sequence .a1 ; : : : ; an / is said to be a solution of the system (2.22). To solve a system of equations as (2.22) means to find all of its solutions. In this section and the next one, we shall learn how to solve some simple (though useful) systems of equations. We are also going to see that, under certain conditions, an equation E D F (in several real variables) is equivalent to a system of equations like (2.22), and this will be a source of a number of interesting examples. The simplest—and, for our purposes, also the most useful—systems of equations are the linear systems with two (resp. three) equations in two (resp. three) real unknowns, i.e., systems of equations of one of the forms 

a 1 x C b 1 y D c1 a 2 x C b 2 y D c2

8 < a 1 x C b 1 y C c1 z D d 1 or a x C b 2 y C c2 z D d 2 ; : 2 a 3 x C b 3 y C c3 z D d 3

(2.23)

respectively. Here, the real numbers ai ; bi ; ci ; di are given and not all zero, being called the coefficients of the linear system.

15

Although the reader is probably acquainted with the concept of sequence, we refer to Sect. 6.1 for a rigorous definition.

46

2 Algebraic Identities, Equations and Systems

The most efficient method for solving linear systems like those above is the elimination algorithm,16 also known as gaussian elimination,17 which is based in the following result. Lemma 2.24 Let E and F be given algebraic expressions in the real variables x and y (or x, y and z). For reals a, b and c, the systems of equations 

EDa and FDb



E C cF D a C cb FDb

have the same solutions. Proof We shall prove the lemma in the case in which E and F are algebraic expressions in the real variables x and y; the other case is completely analogous. Suppose that x D x0 and y D y0 solve the system on the left, so that, when we substitute x by x0 and y by y0 into E and F, both equalities E D a and F D b hold; we shall denote such a situation by writing E.x0 ; y0 / D a and F.x0 ; y0 / D b. Then, substituting x by x0 and y by y0 into E C cF gives us .E C cF/.x0 ; y0 / D E.x0 ; y0 / C cF.x0 ; y0 / D a C cb; so that x D x0 and y D y0 also solve the system on the right. Conversely, if x D x0 and y D y0 solve the system on the right, then, since E D .ECcF/cF, an argument entirely analogous to the above shows that x D x0 and y D y0 do solve the system on the left. Therefore, both systems have the same solutions. t u Back to the analysis of the linear systems (2.23), let us show that a number of careful applications of the previous lemma lead us to quick solutions of them (the elimination algorithm consists exactly of this). We start by the system on the left, which, for simplicity, we write as 

ax C by D e : cx C dy D f

Since at least one of the coefficients a; b; c; d is nonzero, we can suppose, without loss of generality, that a ¤ 0 (otherwise, it suffices to rewrite the system in one of the forms

16

An algorithm is a finite sequence of precise procedures that, once followed, give an expected result, also known as the output of the algorithm. Although algorithms will play a very modest role in this volume, [5] brings a number of very interesting ones. 17 After Joanne Carl Friedrich Gauss, German mathematician of the XVIII and XIX centuries. Gauss is generally considered to be the greatest mathematician of all times. In the several different areas of Mathematics and Physics in which he worked, like Number Theory, Analysis, Differential Geometry and Electromagnetism, there are always very important and deep results or methods that bear his name. We refer the reader to [26] for an interesting biography of Gauss.

2.4 Linear Systems and Elimination



cx C dy D f ; ax C by D e

47



by C ax D e or dy C cx D f



dy C cx D f ; by C ax D e

according to whether c, b or d is nonzero, and change a by this number in the following discussion). Then, let a ¤ 0 and E D ax C by, F D cx C dy. Changing the equation F D f by the equation c c F  E D f  e; a a we get the system 

E De ; F  ac E D f  ac e

and Lemma 2.24 immediately assures that the solutions of this new system coincide with those of the original one. Hence, in order to solve that system, it suffices to solve this last one. On the other hand, since   c c bc F  E D .cx C dy/  .ax C by/ D d  y; (2.24) a a a the last system reduces to 

ax C by D e ; d0 y D f 0

c 0 where d0 D d  bc a and f D f  a e. Now, we shall consider three different cases:

• If d0 ¤ 0 (or, equivalently, ad  bc ¤ 0), then the second equation above gives 0 y D df 0 , and the substitution of this value into the first equation gives x D 1a .e   0 by/ D 1a e  bfd0 . In this case, the system is said to be determined, for it has a unique solution. • If d 0 D 0 (or, equivalently, ad  bc D 0) and f 0 ¤ 0, the system is impossible, for the second equation reduces to 0y D f 0 , which has no roots at all. • If d0 D f 0 D 0, then the second equation reduces to 0y D 0, an equality which is true for all real values of y. Therefore, the system as a whole consists only of the equation ax C by D 0, which has infinitely many solutions (making y D ˛, with ˛ 2 R, we get x D  b˛ ). For this reason, the system is said to be undetermined. a As was the case in the previous chapter, we would like to stress that, in specific examples, rather than memorizing the formulas obtained through the above discussion, one should just execute the elimination process. The previous discussion (more precisely, (2.24)) makes it clear that this process consists of subtracting an

48

2 Algebraic Identities, Equations and Systems

appropriate multiple of the first equation from the second, in order to eliminate the variable x from it (and that’s where the name elimination comes from). Example 2.25 Use Gaussian elimination to find all real values of a for which the system equations 

2x C ay D 3 ax C 2y D 32

is impossible, undetermined or determined. Solution Subtracting  a2 times the first equation from the second, we get the equivalent system (

 2x C2 ay D 3 : 2  a2 y D 32 .1  a/

2

If 2  a2 ¤ 0, which is the same as a ¤ ˙2, then the second equation above gives us y D 3.1a/ , so that the first equation furnishes a single value for x, namely, 4a2 xD

3.4  a/ 1 .3  ay/ D : 2 2.4  a2 /

Therefore, the system is determined whenever a ¤ ˙2. If a D ˙2, then the second equation reduces to 0y D 32 .1  2/, which represents an impossible equality. Therefore, the system is impossible. t u For a geometric interpretation of Gaussian elimination for linear systems of two equations in two real variables, see the problems of Sect. 6.2 of [4]. Let us now turn our attention to the linear system on the right, in (2.23). In order to analyse it, let Ei D ai x C bi y C ci z, for 1  i  3, so that it reduces to 8 < E1 D d 1 E D d2 : : 2 E3 D d 3 As was done for linear systems in two variables, we can suppose that a1 ¤ 0 (the other cases being totally analogous). Changing equations E2 D d2 and E3 D d3 respectively by E2 

a2 a2 a3 a3 E1 D d2  d1 and E3  E1 D d3  d1 a1 a1 a1 a1

(in order to eliminate the variable x from the second and third equations), we get the equivalent system

2.4 Linear Systems and Elimination

49

8 ˆ < E1 E2  ˆ :E  3

a2 E a1 1 a3 a1 E1

D d1 D d2  D d3 

a2 d a1 1 a3 a1 d1

:

Since E2 

a2 a2 E1 D .a2 x C b2 y C c2 z/  .a1 x C b1 y C c1 z/ a1 a1     a2 b1 a 2 c1 y C c2  z D b2  a1 a1 D b02 y C c02 z;

and, analogously, E3 

a3 E a1 1

D b03 y C c03 z, it suffices to solve the system 8 < a 1 x C b 1 y C c1 z D d 1 b02 y C c02 z D d20 ; : b03 y C c03 z D d30

where d20 D d2  aa21 d1 and d30 D d3  aa31 d1 . In case all of the numbers b02 ; c02 ; b03 ; c03 are equal to 0, the last system above reduces to 8 < a 1 x C b 1 y C c1 z D d 1 0 D d20 : : 0 D d30 If d20 ¤ 0 or d30 ¤ 0, the system is impossible; if d20 D d30 D 0, the system is undetermined, for it is equivalent to the single equation a1 x C b1 y C c1 z D 0, which obviously has infinitely many solutions. Suppose, then, that at least one of the numbers b02 ; c02 ; b03 or c03 is nonzero, say 0 b2 ¤ 0 (as before, the other cases can be treated quite analogously). Then, applying Gaussian elimination to the system 

b02 y C c02 z D d20 ; b03 y C c03 z D d30

we obtain a system of the form 8 < a 1 x C b 1 y C c1 z D d 1 b02 y C c02 z D d20 ; : c003 z D d300

50

2 Algebraic Identities, Equations and Systems

which is also equivalent to the original system. The discussion, then, goes on as before, and we concentrate our attention in the third equation, c003 z D d300 . Also as before, we have to distinguish three distinct cases: • If c003 ¤ 0, then the third equation above gives a single value for z, say z D  ; since b02 ¤ 0, the substitution of this value into the second equation furnishes y D b10 .d20  c02 z/ D b10 .d20  c02  /. Finally, since a1 ¤ 0, the substitution of the 2 2 values thus obtained for y and z into the first equation give us a single value for x. Then, we conclude that the system is determined. • If c003 D 0 and d300 ¤ 0, the system is impossible, for the third equation reduces to 0z D d300 . • If c003 D d300 D 0, then the third equation reduces to the equality 0z D 0, and the system as a whole reduces to 

a 1 x C b 1 y C c1 z D d 1 b02 y C c02 z D d20

or, which is the same, 

a 1 x C b 1 y D d 1  c1 z : b02 y D d20  c02 z

Since a1 and b02 are both nonzero, for each real value z D  the system corresponding to 

a 1 x C b 1 y D d 1  c1  b02 y D d20  c02 

is determined; therefore, the original system in x; y; z is undetermined. We can summarize the above discussion by saying that the elimination algorithm for linear systems of the form 8 < a 1 x C b 1 y C c1 z D d 1 a x C b 2 y C c2 z D d 2 : 2 a 3 x C b 3 y C c3 z D d 3 consists in performing, one by one, the following three steps: 1st. Eliminate the variable x from the second and third equations, by adding to these equations appropriate multiples of the first one, thus obtaining a system of the form 8 < a 1 x C b 1 y C c1 z D d 1 b02 y C c02 z D d20 : : b03 y C c03 z D d30

2.4 Linear Systems and Elimination

51

2nd. Eliminate the variable y (in case b02 ¤ 0 in the last system above) from the third equation, by adding to it an adequate multiple of the second equation, thus obtaining a system of the form 8 < a 1 x C b 1 y C c1 z D d 1 b02 y C c02 z D d20 : : c003 z D d300 3rd. Analyse equation c003 z D d300 and, after this, the other two equations in succession, in order to decide whether the original system is determined, undetermined or impossible. As before, it is much more useful to keep the general steps above in mind than to try to memorize any of the expressions obtained through the calculations in the previous discussions. Let us see one more example to illustrate this point. Example 2.26 Find all real values of a for which the system of equations 8 < x C y  az D 1 2x C ay C z D 1 : ax C y  z D 2 is impossible. Solution Multiplying the first equation respectively by 2 and by a, and subtracting (also respectively) the results from the second and third equations, we get the equivalent system 8 D 1 < x C y  az : .a  2/y C .1 C 2a/z D 3 : .1  a/y  .1  a2 /z D 2 C a If a D 1, the last equation reduces to the impossible equality 0 D 3, and the original system is impossible. If a ¤ 1, add to the second equation  a2 times the 1a third one, thus obtaining the equivalent system 8 ˆ D 1 < x C y  az 2 3aC7 2 : D a 1a .a C a  1/z ˆ : .1  a/y  .1  a2 /z D 2 C a (Observe that we have slightly changed the second step, so that the roles of the second and third equations of the last system are interchanged—it is the second equation that, now, has just one variable. Obviously, this is perfectly right, and shows that the elimination algorithm is quite a flexible one.)

52

2 Algebraic Identities, Equations and Systems p

Now, if a2 C a  1 D 0, i.e., if a D 1˙2 5 , then the system is impossible, for a2  3a C 7 ¤ 0 for these values of ap and, hence, the second equation reduces to an impossible equality. If a ¤ 1˙2 5 , then the second equation gives us a single possible value for z; in turn, upon substitution of this value of z into the third equation, we find a single possible value for y; finally, putting these values for y and z into the first equation, we find a single possible value for x, so that the system is determined. p We conclude a D 1 and a D 1˙2 5 are the values of a for which the original system is impossible. t u We finish our discussion of linear systems by observing that Gaussian elimination algorithm can easily be put to work to the analysis of the general linear system in m equations and n unknowns 8 a11 x1 C a12 x2 C    C a1n xn ˆ ˆ ˆ < a21 x1 C a22 x2 C    C a2n xn :: ˆ ˆ : ˆ : am1 x1 C am2 x2 C    C amn xn

D b1 D b2 I :: :

(2.25)

D bm

here, the aij and bi are given real numbers, such that at least one of the aij is nonzero. Apart from an important particular case of general linear system, which will make its appearance in Sect. 18:1 of [5] (and will be analysed there, by other methods), we shall not make a systematic use of such systems along these notes; hence, we shall not develop the general analysis of the application of the elimination algorithm to them. If it is the case we have to solve such a linear system (as in the example below), some clever reasoning, perhaps with the aid of Lemma 2.24, will suffice. Example 2.27 (OCM) Find all real solutions x1 , x2 , . . . , x100 of the linear system 8 ˆ x1 C x2 C x3 ˆ ˆ ˆ ˆ x2 C x3 C x4 ˆ ˆ ˆ < :: : ˆ ˆ x98 C x99 C x100 ˆ ˆ ˆ ˆ x99 C x100 C x1 ˆ ˆ : x100 C x1 C x2

D0 D0 :: : D0 D0 D0

:

Solution Observe that each xj appears in exactly three of the given equations. Therefore, adding all of them and dividing both sides by 3, we get x1 C x2 C x3 C    C x100 D 0:

2.4 Linear Systems and Elimination

53

In order to find x1 D 0, just note that 0 D x1 C .x2 C x3 C x4 / C    C .x98 C x99 C x100 / D x1 C 0 C 0 C    C 0 D x1 : For x2 D 0, write 0 D x2 C .x3 C x4 C x5 / C    C .x99 C x100 C x1 / D x2 C 0 C 0 C    C 0 D x2 : Now, x1 C x2 C x3 D 0 implies x3 D 0. Then, x2 C x3 C x4 D 0 implies x4 D 0, and so on, so that all of the xi ’s are equal to 0. t u We refer the interested reader to Chap. 1 of [18] for quite a detailed exposition of the elimination algorithm for general linear systems.

Problems: Section 2.4  1. Assume that, in the linear system

ax C by D e , we have a, b, c, d, e, f ¤ 0. cx C dy D f

Prove that: (a) (b) (c)

a c a c a c

¤ D D

b d b d b d

, the system is determined. D ef , the system is undetermined. ¤ ef , the system is impossible.

2. Find all real values of a for which the system of equations 8 < x C 2y  3z D 4 3x  y C 5z D 2 : 4x C y C .a2  14/z D a C 2 is impossible. 3. Solve the system of equations 82 3 ˆ 1. On the other hand, if q D 1, then ak D a1 for every k  1. As it happens with AP’s, a GP .ak /k1 is completely determined provided we know its first term a1 and its common ratio q. Example 3.10 For a fixed real number q ¤ 0, the sequence .ak /k1 such that ak D qk for every k  1 (i.e., the sequence formed by the powers of q, with natural exponents) is a GP of common ratio q. If q < 0, then Problem 6, page 11, shows

66

3 Elementary Sequences

that ak is positive if and only if k is even; if 0 < q < 1, then Corollary 1.3 gives a1 > a2 > a3 >    > 0; if q > 1, then, again by that result, we have 0 < a1 < a2 < a3 <    . Another useful recursive characterization of (almost all) GP’s is the one given by the following result. Proposition 3.11 A sequence .ak /k1 of nonzero real numbers is a GP if and only if akC2 ak D a2kC1 ;

(3.5)

for every k  1. Proof By definition, .ak /k1 is a GP (of common ratio q) if and only if a2 a3 a4 D D D    D q: a1 a2 a3 In other words, .ak /k1 is a GP if and only if for every integer k  1, we have akC2 akC1 t u akC1 D ak , and this is an equivalent way of writing (3.5). As we have done with AP’s, our next result brings formulas for the general term and for the sum of the first k terms of a GP. Proposition 3.12 If .ak /k1 is a GP of common ratio q, then: (a) ak D a1  qk1 , for every k  1. (b) If q ¤ 1, then a1 C a2 C    C an D

anC1 a1 q1 ,

for every n  1.

Proof (a) The proof we present parallels that for the general term of an AP (see the proof of item (a) of Proposition 3.6): diagram q

a1

/ a2

q

/ a3

q

/ 

q

/ ak1

q

/ ak

makes it clear that, in order to reach ak starting from a1 , it is necessary k  1 steps, where each step consists of multiplying a term of the sequence by q. Hence, to reach ak we have to multiply a1 by q exactly k  1 times, so that ak D a1  qk1 . (b) Letting Sn D a1 C a2 C    C an , it follows from (3.4) that qSn D q.a1 C a2 C    C an1 C an / D qa1 C qa2 C    C qan1 C qan D a2 C a3 C    C an C anC1 :

3.1 Progressions

67

Therefore, .q  1/Sn D qSn  Sn D .a2 C a3 C    C an C anC1 /  .a1 C a2 C    C an / D .a2 C a3 C    C an / C anC1  a1  .a2 C    C an / D anC1  a1 ; where, in the last passage, we cancelled out the summand a2 C a3 C    C an . It now suffices to divide both members of the equality .q  1/S D anC1  a1 by q  1. t u Example 3.13 Let .ak /k1 be an AP of natural numbers, with common difference r > 0, and .bk /k1 be a GP of nonzero real numbers, with common ratio q. Consider the sequence .ck /k1 , such that ck D bak for every integer k  1. Prove that .ck /k1 is a GP of common ratio qr . Proof It suffices to show that the ratio of any two consecutive terms of the sequence .ck /k1 is always equal to qr . For this, we use the formulas for the general terms of AP’s and GP’s, as well as the result of Problem 4, page 11: ba ckC1 b1 qakC1 1 D kC1 D D qakC1 ak D qr : ck bak b1 qak 1

t u

The purpose of the next example is to call the reader’s attention to the fact that the idea used in the proof of item (b) of Proposition 3.12 is as important as the actual result it collects. Hence, the reader should keep this idea in his/her mind. Example 3.14 Compute the value of the sum 2  1 C 7  3 C 12  32 C 17  33 C    C 497  399 C 502  3100 ; where, from left to right, the k-th summand equals the product of the k-th term of the AP 2; 7; 12; : : : ; 502 with the k-th term of the GP 1; 3; 32 ; : : : ; 3100 . Solution Arguing exactly as in the proof of item (b) of Proposition 3.12, let S denote the desired sum, and compute 3S (we use the factor 3, for it is the common ratio of the GP 1; 3; 32 ; : : : ; 3100 ): 3S D 2  3 C 7  32 C 12  33 C 17  34 C    C 497  3100 C 502  3101 :

68

3 Elementary Sequences

Hence, 2S D 3S  S D 2  3 C 7  32 C 12  33 C 17  34 C    C 497  3100 C 502  3101  2  1  7  3  12  32  17  33      497  399  502  3100 D .502  3101  2/  5.3 C 32 C 33 C 34 C    C 3100 / 5 D .502  3101  2/  .3101  3/; 2 where we grouped multiples of equal powers of 3 in the third equality, and used the formula of item (b) of Proposition 3.12 in the fourth one. Finally, grouping together the summands of the last expression above, we get S D 14 .999  3101 C 11/. t u

Problems: Section 3.1 1. Compute the first four terms of the sequence .an /n1 , defined by a1 D 1 and akC1 D a2k C ak C 1, for k  1. 2. Write a positional formula for each of the following sequences: (a) (b) (c)

.1; 3; 4; 5; 6; 7; 8;  1 2;  : : :/. 2 3 4 5 6 7 8 ; ; ; ; ; ; ; ; : : : .  2 13 4 15 6 17 8 1 9  1; 2 ; 3; 4 ; 5; 6 ; 7; 8 ; : : : .

3. Let .an /n1 be a sequence of positive real numbers satisfying the recurrence k relation akC1 D 3aak C1 , for k  1. Find a recurrence relation satisfied by the sequence .bn /n1 , defined for n  1 by bn D a1n . 4. Write a recurrence relation satisfied for each of the following sequences: (a) .1; 1; 1; 3; 5; 9; 17; 31; 57; 105; 183; : : :/. 2

22

(b) .1; 2; 22 ; 22 ; 22 ; : : :/. 5. Below, we show the first four lines of an infinite array of natural numbers, such that, for i > 1, the i-th line starts with the number i and has two more entries than the .i  1/-th line. Compute the sum of the entries in the n-th line. 1 2 3 4 

3 4 5 

4 5 6 7 6 7 8 9 10     

3.1 Progressions

69

6. Show that the number 11 : : : 1 (n digits 1) is equal to 10 91 . 7. Compute the sum 1 C 11 C 111 C    C „ 11ƒ‚ : : :… 1 as a function of n. n

n

8. If .ak /k1 is an AP with common difference r, prove that the sequence .bk /k1 , defined by bk D a2kC1  a2k for every k  1, is also an AP, and compute its common difference. 9. Let .ak /k1 be an AP of nonzero common difference, and p, q, u, v be given naturals. Prove that ap C aq D au C av , p C q D u C v 10. Let .ak /k1 be an AP of common difference r ¤ 0. If ar1 is a nonnegative integer, prove that the sum of any two terms of the AP is also a term of it. 11. Let .ak /k1 be an AP such that ap D ˛ and aq D ˇ, with p ¤ q. Compute apCq in terms of p, q, ˛, ˇ. 12. (Romania) The sum of some (more than one) consecutive odd integers equals 73 . Find these numbers. 13. The AP .ak /k1 is formed by pairwise distinct naturals. Prove that it contains infinitely many composite naturals2 among its terms. 14. (Canada) Let an be the sum of the first n terms of the sequence .0; 1; 1; 2; 2; 3; 3; 4; 4; : : : ; r; r; r C 1; r C 1; : : :/: (a) Find a formula for an as a function of n. (b) Prove that amCn  amn D mn for every natural numbers m and n, with m > n. p p p 15. (Canada) Show that the numbers 2, 3 and 5 cannot be terms of a single AP. 16. Let .ak /k1 be a GP with common ratio q. Prove that, for an arbitrary integer n  1, we have a1 a2 : : : an D an1 q

n.n1/ 2

:

17. Compute the value of the sum 3 5 99 1 C 2 C 3 C    C 50 ; 2 2 2 2 in which the k-th summand from left to right equals the quotient between the k-th term of the AP 1; 3; 5; : : : ; 99 and the k-th term of the GP 2; 22 ; 23 ; : : : ; 250 .

2 According to the introduction to Chap. 1, we recall that a natural n > 1 is composite if we can write n D ab, for some naturals a; b > 1.

70

3 Elementary Sequences

18. The sequence .ak /k1 is an arithmetic-geometric progression if, for every integer k  1, we have ak D bk ck , where the sequences .bk /k1 and .ck /k1 are respectively an AP and a GP. Let r be the common difference of the AP and q be the common ratio of the GP. Compute, as a function of n, b1 , c1 , r and q, the value of the sum of the first n terms of .ak /k1 . 19. (Macedonia) In a nonconstant AP of real numbers, the quotient between the first term and the common difference is an irrational number. Prove that no three distinct terms of this AP form a GP. 20. Compute, as a function of n, the n-th term of the sequence .ak /k1 , given by a1 D 2 and akC1 D 2ak  1, for every integer k  1. 21. The sequence .an /n1 satisfies a1 D 1 and akC1 D 3ak  1, for every k  1. Do the following items: (a) If bn D an  12 , prove that bkC1 D 3bk for every k  1. (b) Write down the first five terms of the sequence .bn /n1 and, then obtain a general positional formula for it. (c) Find a positional formula for an . 22. Prove that there does not exist a GP having the numbers 2, 3 and 5 as three of its terms.

3.2 Linear Recurrences of Orders 2 and 3 At the end of last section, we saw that a sequence .an /n1 is a GP if and only if it satisfies a recurrence relation of the form (3.4), i.e., if and only if akC1  qak D 0;

(3.6)

for every integer k  1, where q is a real constant. For reasons that will be clear in a few moments, we say that (3.6) is a first order linear recurrence relation with constant coefficients. There, we also saw that a sequence .an /n1 is an AP if and only if it satisfies a recurrence relation like (3.3). In this section, our task is to study the more general class of sequences .an /n1 that satisfy recurrence relations like akC2 C rakC1 C sak D 0;

(3.7)

where r and s are given real constants, not both zero. If s D 0, (3.7) essentially reduces to (3.6); if s ¤ 0, it is said to be a second order linear recurrence relation with constant coefficients. Problem 5 explains what we mean by the property of linearity of sequences that satisfy recurrence relations like (3.6) and, more generally, (3.7). For such a sequence .an /n1 , Theorem 3.16 will explain how to compute an as a function of n. Before we present it, it is instructive to show the idea behind its proof in a concrete example, and we start by doing this.

3.2 Linear Recurrences of Orders 2 and 3

71

Example 3.15 Let .an /n1 be the sequence such that a1 D 1, a2 D 7 and akC2 D 8akC1  15ak , for every integer k  1. Find a positional formula for an . Solution For every integer k  1, we have akC2  3akC1 D 5.akC1  3ak /: Thus, the sequence .bk /k1 , defined by bk D akC1  3ak for every k  1, is a GP of common ratio 5 and initial term b1 D a2 3a1 D 4. Hence, bk D b1 5k1 D 45k1 . Analogously, for every integer k  1, we have akC2  5akC1 D 3.akC1  5ak /; so that the sequence .ck /k1 , given by ck D akC1  5ak for every k  1, is a GP of common ratio 3. Since its initial term is c1 D a2  5a1 D 2, it follows that ck D c1  3k1 D 2  3k1 . Therefore, for every integer k  1, we have the system of linear equations  akC1  3ak D 4  5k1 ; akC1  5ak D 2  3k1 which easily gives ak D 2  5k1  3k1 ; 8 k  1:

t u

The reasoning presented in the solution to the previous example can be easily generalized to deal with a general second order linear recurrence relation with constant coefficients. We do this now, referring the reader to Sect. 11.4 for a different approach. Theorem 3.16 Let .an /n1 be a sequence of real numbers such that akC2 C rakC1 C sak D 0 for every integer k  1, where r and s are given real constants, not both zero. If the second degree equation x2 Crx Cs D 0 has real roots3 ˛ and ˇ, then there exist real constants A and B, completely determined by the values of a1 and a2 , such that: (a) If ˛ ¤ ˇ, then an D A˛ n1 C Bˇ n1 , for every integer n  1. (b) If ˛ D ˇ, then an D .A C B.n  1//˛ n1 , for every integer n  1. Proof Recall from Proposition 2.16 that ˛ C ˇ D r and ˛ˇ D s. Thus, (3.7) can be rewritten as akC2  .˛ C ˇ/akC1 C .˛ˇ/ak D 0

3

The case of complex roots is dealt with, in a much more general setting, in Chap. 21 of [5].

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3 Elementary Sequences

or, which is the same, as akC2  ˛akC1 D ˇ.akC1  ˛ak / or akC2  ˇakC1 D ˛.akC1  ˇak /; for every integer k  1. Letting bk D akC1  ˛ak and ck D akC1  ˇak , it follows from the above relations that .bk /k1 and .ck /k1 are GP’s of common ratios respectively equal to ˇ and ˛, and initial terms respectively equal to b1 D a2  ˛a1 and c1 D a2  ˇa1 . Therefore, the formula for the general term of a GP gives bk D .a2  ˛a1 /ˇ k1 and ck D .a2  ˇa1 /˛ k1 or, which is the same, 

akC1  ˛ak D .a2  ˛a1 /ˇ k1 : akC1  ˇak D .a2  ˇa1 /˛ k1

(3.8)

Now, let us first consider the case ˛ ¤ ˇ. In (3.8), subtracting the first relation from the second gives ak D

a2  ˇa1 k1 a2  ˛a1 k1 ˛ ˇ I  ˛ˇ ˛ˇ

AD

a2  ˇa1 a2  ˛a1 and B D  ˛ˇ ˛ˇ

letting

we get the formula of item (a). In case ˛ D ˇ, relations (3.8) are equal and, at a first glance, it seems that we do not have enough information to compute ak . Nevertheless, we can use the following trick: it is immediate to verify that the sequences .uk /k1 and .vk /k1 , given by uk D ˛ k1 and vk D .k  1/˛ k1 (the same ˛ as before, root of the second degree equation x2 C rx C s D 0), are such that 

ukC2 C rukC1 C suk D 0 ; vkC2 C rvkC1 C svk D 0

for every integer k  1 (see Problem 4); therefore, for fixed A; B 2 R, the sequence zk D Auk C Bvk is also such that zkC2 C rzkC1 C szk D 0

3.2 Linear Recurrences of Orders 2 and 3

73

(see Problem 5). Thus, the idea is to search for real numbers A and B such that, for every integer k  1, we have ak D zk . Since both sequences .ak /k1 and .zk /k1 satisfy identical linear second order recurrence relations, Problem 13, page 96, will assure that it suffices to find real numbers A e B for which a1 D z1 and a2 D z2 , i.e., such that  a1 D A : a2 D .A C B/˛ This can obviously be done, for ˛ D  2r ¤ 0.

t u

In practice, we employ the formulas of the previous result in the following way: let .an /n1 be a sequence of real numbers satisfying the recurrence relation (3.7) for every integer k  1, where r and s are given real constants, with r ¤ 0. We start by computing the real roots (if any) of the second degree equation x2 C rx C s D 0; which is called the characteristic equation of (3.7). If the characteristic equation actually has real roots ˛ and ˇ, we then check whether ˛ ¤ ˇ or ˛ D ˇ, and use the formulas of items (a) or (b) of Theorem 3.16, according to the case at hand. In order to find the real constants A and B in case ˛ ¤ ˇ, we solve the system of equations 

a1 D A C B I a2 D A˛ C Bˇ

in case ˛ D ˇ, we solve the system 

a1 D A : a2 D .A C B/˛

In both of these cases, the systems we have to solve are obtained by taking k respectively equal to 1 and 2 in the formulas of items (a) or (b) of the theorem. Example 3.17 Let us execute the above procedure to get a positional formula for the n-th term of the celebrated Fibonacci sequence,4 i.e., the sequence .Fn /n1 given by F1 D 1, F2 D 1 and FkC2 D FkC1 C Fk ;

4

(3.9)

After Leonardo di Pisa, also known as Fibonacci, Italian mathematician of the XII and XIII centuries. As can be seen in Chap. 1 of [5], the Fibonacci sequence plays a relevant role in Combinatorics.

74

3 Elementary Sequences

for every integer k  1. More precisely, let us show that 1 Fn D p 5

(

p !n 1C 5  2

p !n ) 1 5 ; 8 n  1: 2

(3.10)

Solution The recurrence relation (3.9) can be written as FkC2  Fp kC1  Fk D 0 and, p 1C 5 2 hence, has characteristic equation x  x  1 D 0. Letting ˛ D 2 and ˇ D 12 5 be its roots, it follows from item (a) of Theorem 3.16 that Fn D A˛ n1 C Bˇ n1 ; with A and B chosen so that F1 D F2 D 1. Making n D 1 and n D 2 in the above formula for Fn , we get the linear system 

ACB D1 : ˛A C ˇB D 1

Multiplying the first equation by ˛ and subtracting the second equation p from the result, we obtain .˛  ˇ/B p D ˛  1. Now, since ˛ C ˇ D 1 and ˛  ˇ D 5, we can write this last equation as 5B D ˇ, so that B D  pˇ5 . Analogously, multiplying the first equation by ˇ and subtracting the result from the second equation, we obtain A D p˛ , so that 5

˛ ˇ 1 Fn D p  ˛ n1  p  ˇ n1 D p .˛ n  ˇ n /: 5 5 5

t u

Our next example shows a situation where Theorem 3.16 can be applied, albeit not straightforwardly. Example 3.18 Let .an /n1 be a sequence of real numbers satisfying the recurrence relation akC1 D rak C s for every integer k  1, where r and s are given real constants, with r ¤ 0; 1 (we need not consider the case r D 1, for in this case .an /n1 is an AP). For an integer k  1, we have akC2  rakC1 D s D akC1  rak or, which is the same, akC2  .r C 1/akC1 C rak D 0: This is a second order linear recurrence relation with constant coefficients, whose characteristic equation is x2  .r C 1/x C r D 0:

3.2 Linear Recurrences of Orders 2 and 3

75

Since its roots are r and 1, it follows from item (a) of Theorem 3.16 that an D Arn1 C B. If we now recall that a2 D ra1 C s, we see that A and B can be found by solving the linear system  A C B D a1 : Ar C B D ra1 C s Therefore, A D a1 and B D s, so that an D a1 rn1 C s: Let us now turn our attention to third order linear recurrence relations with constant coefficients. As the reader has probably guessed by now, in this case we have a sequence .an /n1 satisfying a recurrence relation of the form akC3 C rakC2 C sakC1 C tak D 0 for every integer k  1, where r, s and t are given real constants, not all zero. As in the case of second order linear recurrence relations with constant coefficients, we define the characteristic equation of (3.11) as the third degree polynomial equation x3 C rx2 C sx C t D 0: According to Problem 21, page 43, such an equation admits, at most, three real roots. In what follows, we shall assume that it indeed has three such roots, let us say ˛, ˇ and  . Then, we have the following result. Theorem 3.19 Let .an /n1 be a sequence of real numbers such that akC3 C rakC2 C sakC1 C tak D 0

(3.11)

for every integer k  1, where r, s and t are given real constants, not all zero. If the characteristic equation x3 C rx2 C sx C t D 0 of (3.11) has real roots ˛, ˇ and  , then there exist real constants A, B and C, completely determined by the values of a1 , a2 and a3 , such that: (a) If ˛ ¤ ˇ ¤  ¤ ˛, then an D A˛ n1 C Bˇ n1 C C n1 , for every n  1. (b) If ˛ D ˇ ¤  , then an D .A C B.n  1//˛ n1 C C n1 , for every n  1. (c) If ˛ D ˇ D  , then an D .A C B.n  1/ C C.n  1/2 /˛ n1 , for every n  1. Proof We shall only sketch the proof, leaving the details to the reader (see Problem 6). Let .bn /n1 be the sequence given by bn D ˛ n1 , for every integer n  1. Since 3 ˛ C r˛ 2 C s˛ C t D 0, we also have ˛ kC2 C r˛ kC1 C s˛ k C t˛ k1 D 0 or, which is the same, bkC3 C rbkC2 C sbkC1 C tbk D 0;

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3 Elementary Sequences

for every integer k  1. Hence, .bn /n1 satisfies the same recurrence relation as .an /n1 does. Analogously, the sequences .cn /n1 and .dn /n1 , given for an integer n  1 by cn D ˇ n1 and dn D  n1 , also satisfy the same recurrence relation as .an /n1 . We now turn our attention to the cases (a)–(c): (a) For all A; B; C 2 R, the sequence .un /n1 such that un D A˛ n1 C Bˇ n1 C C n1 for every integer n  1 satisfies the same recurrence relation as .an /n1 does. On the other hand, since ˛ ¤ ˇ ¤  ¤ ˛, we can choose the constants A, B and C in such a way that u1 D a1 , u2 D a2 and u3 D a3 . Therefore, by invoking once more the result of Problem 13, page 96, we conclude that un D an , for every integer n  1. (b) The result of Problem 21, page 43, gives us x3 C rx2 C sx C t D .x  ˛/2 .x   /: With the aid of this identity, it is easy to show that bn D .n  1/˛ n1 also satisfies the same recurrence relation as the sequence .an /n1 . Then, as in item (a), the sequence .un /n1 such that un D .A C B.n  1//˛ n1 C C n1 for n  1 satisfies that same recurrence relation, for all A; B; C 2 R. Moreover, we can again choose the real constants A, B and C such that u1 D a1 , u2 D a2 and u3 D a3 . Thus, once more by the result of Problem 13, page 96, we conclude that un D an for every integer n  1. (c) This time, the result of Problem 21, page 43, gives x3 C rx2 C sx C t D .x  ˛/3 : It is now easy to show that both sequences bn D .n  1/˛ n1 and cn D .n  1/2 ˛ n1 do satisfy the same recurrence relation as the sequence .an /n1 . Hence, the same is true for the sequence un D .A C B.n  1/ C C.n  1/2 /˛ n1 , for all A; B; C 2 R. The rest of the argument proceeds exactly as in items (a) and (b). t u Example 3.20 Let .an /n1 be the sequence of real numbers given by a1 D 1, a2 D 4, a3 D 14 and akC3  6akC2 C 12akC1  8ak D 0; for every integer k  1. Compute an as a function of n. Solution The characteristic equation of the given recurrence relation is x3  6x2 C 12x  8 D 0. Since x3  6x2 C 12x  8 D .x  2/3 , item (c) of the previous result gives an D .A C B.n  1/ C C.n  1/2 /  2n1 ;

3.2 Linear Recurrences of Orders 2 and 3

77

for every integer n  1, where A, B and C are real constants chosen so that a1 D 1, a2 D 4 and a3 D 14. These initial conditions, in turn, give us the linear system of equations 8 1

As a particular case of the above definition, if .ak /k1 is a constant sequence with, say, ak D c for every k  1, we clearly have n X jD1

aj D

n X

c D nc:

jD1

The main reason for the success of the † notation owes to the fact that it turns it quite easy to manipulate sums with large numbers of summands, specially when each such summand is itself a sum. For example, given sequences .ak /k1 and .bk /k1 of real numbers, the associativity and commutativity of addition of reals give .a1 C a2 C    C an / ˙ .b1 C b2 C    C bn / D .a1 ˙ b1 / C .a2 ˙ b2 / C    C .an ˙ bn /I

3.3 The † and … Notations

79

with the aid of the † notation, the equality above can be written in the much more compact form n X

aj ˙

jD1

n X

bj D

jD1

n X .aj ˙ bj /:

(3.13)

jD1

On the other hand, given c 2 R, the distributivity of the multiplication of reals with respect to addition gives c.a1 C a2 C    C an / D ca1 C ca2 C    C can ; an equality that can be written, again with the aid of the † notation, as c

n X

aj D

jD1

n X

caj :

(3.14)

jD1

The following example shows, in a simple case, how one could apply the two identities above in order to simplify the task of calculating the value of a sum. P Example 3.22 Compute the value of nkD1 .2k C 1/ in terms of n 2 N. Solution Successively applying (3.13), (3.14) and the first part of Example 3.7, we get n X

.2k C 1/ D

kD1

n X

2k C

kD1

D2

n X

1D2

kD1

n X

kCn

kD1

n.n C 1/ C n D n2 C 2n: 2 t u

P

The notation is particularly useful to perform cancellations in sums. More precisely, given a sequence .ak /k1 , and performing the possible cancellations in the sum .a2  a1 / C .a3  a2 / C .a4  a3 / C    C .an1  an2 / C .an  an1 /; we get an  a1 as result. With the aid of the just get as n1 X jD1

P

notation, we can write the equality

.ajC1  aj / D an  a1 :

(3.15)

80

3 Elementary Sequences

An equivalent formula (obtained from the above by writing n C 1 in place of n), which will sometimes be used in the place of (3.15), is n X .ajC1  aj / D anC1  a1 :

(3.16)

jD1

Any one of (3.15) or (3.16) is known as a telescoping sum. The idea behind the name is the following: as a telescope shortens the immense distance between a celestial body and our eyes, the above formulas shorten the way between certain given sums and their results. P Telescoping sums are the greatest advantage of having the notation at our disposal. Let us justify this claim by examining two interesting examples. Example 3.23 Deduce the formula for the general term of an AP with the aid of telescoping sums. Solution Let the sequence .ak /k1 be an AP of common difference r. Then, ajC1  aj D r for each integer j  1, so that (3.16) gives an  a1 D

n1 X

.ajC1  aj / D

jD1

n1 X

r D .n  1/r

jD1

or, which is the same, an D a1 C .n  1/r.

t u

To the next example, we say that a sequence .ak /k1 is a second order AP provided the sequence .bk /k1 , given for k  1 by bk D akC1  ak , is a nonconstant AP. In order to build a second order AP .ak /k1 , we can start with a nonconstant AP, as .3; 7; 11; 15; 19; 23; 27; : : :/; and stipulate the initial term of the second order AP, say a1 D 2; then, we successively compute the values of a2 ; a3 ; : : : from the relations a2  a1 D 3, a3  a2 D 7, a4  a3 D 11 etc. Proceeding this way we obtain, from the AP given above, the second order AP .2; 5; 12; 23; 38; 57; 80; : : :/: The discussion of the previous paragraph makes it clear that a second order AP is completely determined only if we know its first three terms. In fact, it is only by knowing its first three terms that we will know the first two terms of the nonconstant AP formed by the differences of the consecutive terms of the second order AP. We are now in position to use telescoping sums to deduce a formula for the general term of a general second order AP.

3.3 The † and … Notations

81

Example 3.24 Given a second order AP .ak /k1 , prove that an D a1 C .a2  a1 /.n  1/ C

.n  1/.n  2/r ; 2

(3.17)

where r D a3  2a2 C a1 is the common difference of the nonconstant AP formed by the differences of the consecutive terms of .ak /k1 . Solution Let bk D akC1  ak for every integer k  1. The formulas for telescoping sums and for the sum of the terms of a finite AP give us an  a1 D

n1 n1 X X .n  1/.b1 C bn1 / : .ajC1  aj / D bj D 2 jD1 jD1

On the other hand, by applying the formula for the general term of an AP, we get bn1 D b1 C .n  2/r D .a2  a1 / C .n  2/r and, thus, .n  1/.b1 C bn1 / 2 .n  1/.2.a2  a1 / C .n  2/r/ D a1 C 2 .n  1/.n  2/r : D a1 C .n  1/.a2  a1 / C 2

an D a1 C

Finally, it suffices to observe that r D b2  b1 D .a3  a2 /  .a2  a1 / D a3  2a2 C a1 :

t u

In spite of the previous P examples, if we wish to use the formula for telescoping sums to compute the sum njD1 bj of the first n terms of a given sequence .bk /k1 , we first need to find a way to write the summands bj as the differences ajC1  aj , between consecutive terms of some other sequence .ak /k1 . The difficulty with this reasoning relies upon the fact that we do not know, beforehand, who the sequence .ak /k1 is. The discussion of some additional examples will help to clarify this point. Example 3.25 Consider the sequence .ak /k1 given by a1 D 1 and akC1 D

ak ; 1 C kak

for every integer k  1. Compute an as a function of n.

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3 Elementary Sequences

Solution Since the terms of the sequence .ak /k1 are all positive (why?), we can define the sequence .bk /k1 by setting bk D a1k . The given recurrence relation, then, gives, bkC1 D

1 akC1

D

1 C kak 1 D C k D bk C k: ak ak

Thus, by applying the formula for telescoping sums, together with the formula for the sum of the terms of a finite AP, we get n1 n1 X X n.n  1/ : .bkC1  bk / D kD bn  b1 D 2 kD1 kD1

Therefore, bn D b1 C and, hence, an D

1 bn

D

n.n  1/ n2  n C 2 n.n  1/ D1C D ; 2 2 2

2 . n2 nC2

t u

For the next example define, for each positive integer n, the factorial of n, denoted nŠ, as the product of all natural numbers from 1 to n (by convention, 1Š D 1), i.e., 2Š D 2, 3Š D 6, 4Š D 24, 5Š D 120 etc. Observe that, in general, we have .k C 1/Š D .k C 1/  kŠ. P Example 3.26 (Canada) Compute the value of the sum njD1 j.jŠ/ in terms of n. Solution In order to use the formula for telescoping sums, we have first to succeed in writing j.jŠ/ as a difference ajC1  aj , of consecutive terms of a single sequence .ak /k1 . We do this by observing that j.jŠ/ D Œ.j C 1/  1jŠ D .j C 1/  jŠ  jŠ D .j C 1/Š  jŠ: Hence, by defining ak D kŠ for k  1, we get n X jD1

j.jŠ/ D

n X jD1

Œ.j C 1/Š  jŠ D

n X

.ajC1  aj /

jD1

D anC1  a1 D .n C 1/Š  1Š:

t u

As anticipated at the beginning of this section, we now present a very useful notation for products of real numbers. Q Definition 3.27 Given a sequence .ak /k1 , we write njD1 aj to denote the product a1 a2 : : : an , and read the product of the aj ’s, from j D 1 to j D n. Thus,

3.3 The † and … Notations

83

n Y

 aj D

jD1

a1 ; if n D 1 : a1 a2 : : : an ; if n > 1

Q With the aid of the notation, we can write the factorial of n 2 N (see the paragraph that precedes Example 3.26) by writing nŠ D

n Y

j:

(3.18)

jD1

P Q As was the case with the notation, the usefulness of the notation comes from the fact that it formally commutes with multiplications and divisions. In fact, given a real number c and sequences .ak /k1 and .bk /k1 , we have .a1 a2 : : : an /.b1 b2 : : : bn / D .a1 b1 /.a2 b2 / : : : .an bn /; a1 a2 : : : an a1 a2 an D  b1 b2 : : : bn b1 b2 bn and cn .a1 a2 : : : an / D .ca1 /.ca2 / : : : .can / (provided all of the bj ’s are nonzero, in the Q second equality above). Writing both sides of the identities above by means of the notation, we obtain the relations 10 1 0 n n n Y Y Y @ aj A @ bj A D .aj bj /; jD1

Qn jD1

aj

jD1

bj

Qn

D

n Y jD1

jD1

aj bj

and cn

jD1 n Y jD1

aj D

n Y .caj /: jD1

Below, we present an example of application of such formulas.   Q Example 3.28 Compute, in terms of n, the value of nkD1 2 C 2k . Q Solution We apply the properties of the notation listed above: Qn    n  n Y Y 2 .k C 1/ kC1 n Qn D D 2 kD1 2C 2 k k kD1 k kD1 kD1 D 2n

.n C 1/Š .n C 1/  nŠ D 2n nŠ nŠ

D 2n .n C 1/: t u

84

3 Elementary Sequences

P Q Analogously to the case of the notation, the notation is particularly useful when performing cancellations in certain products. This is the content of the formula for telescoping products, collected in the following result. Proposition 3.29 If .ak /k1 is a sequence of nonzero real numbers, then n Y ajC1 jD1

aj

D

anC1 : a1

(3.19)

Proof As with telescoping sums, it suffices to observe that the intermediate factors of the product at the left hand side all cancel. In symbols, n Y ajC1 jD1

aj

D

a2 a3 a4 an anC1 anC1     D : a1 a2 a3 an1 an a1

t u

Example 3.30 We take another look at the previous example, this time with the formula for telescoping products at our disposal. To this end, we first of all note that   n  n  Y Y 2 kC1 D 2n : 2C k k kD1 kD1 Now, defining the sequence .ak /k1 by ak D k, it follows from (3.19) that   n  n  Y Y 2 akC1 anC1 n D2 2C D 2n  D 2n .n C 1/: k a a k 1 kD1 kD1

Problems: Section 3.3 1. Prove that a sequence .ak /k1 is a second order AP if and only if akC2 2akC1 C ak ¤ 0 and akC3  3akC2 C 3akC1  ak D 0, for every integer k  1. 2. Let .ak /k1 be the sequence defined by a1 D 1 and anC1 D an C 3n  1, for every positive integer n. Compute the n-th term of this sequence in terms of n. 3. The sequence .an /n1 is given by a1 D 1 and anC1 D an C 8n, for n  1. Compute an in terms of n. P 1 4. * Compute the value of the sum nkD2 .k1/k as a function of n 2 N. 5. The sequence .ak /k1 is an AP. Prove that, for every positive integer n, we have n1 X kD1

1 n1 D : ak akC1 a1 an

3.3 The † and … Notations

85

6. Prove that, for every positive integer n, we have 1 1 1 1 1 C 2 C 2 CC 2 < 2 : 2 1 2 3 n n P 1 7. Compute the value of the sum n1 kD1 .4k1/.4kC3/ as a function of n 2 N. 8. (Romania) Let k and n be positive integers. Prove that: (a) .2kC1/3 .2k1/3 can always be written as a sum of three perfect squares. (b) .2n C 1/3  2 can always be written as a sum of 3n  1 perfect squares. P k as a function of the integer n > 1. 9. Compute the value of the sum nkD1 .kC1/Š 10. (Brazil—adapted) Do the following items: (a) For k 2 N, write .k C 1/2 C k2 C k2 .kqC 1/2 as a perfect square. P 1 1 (b) Compute the value of the sum 99 C .kC1/ 2 C 1. kD1 k2 11. * (Brazil) Let .Fk /k1 be the Fibonacci sequence, i.e., the sequence given by F1 D 1, F2 D 1 and FkC2 D FkC1 C Fk , for every integer k  1. Compute the P F in terms of n 2 N. value of the sum nkD1 Fk FkC1 kC2 12. The sequence .ak /k1 is an AP. Prove that, for every positive integer n, we have n1 X kD1

n1 1 Dp p : p p ak C akC1 a1 C an

2 C 1. 13. (a) Factorise the expression x4 C xP (b) Compute the value of the sum nkD1 k4 Ckk2 C1 in terms of n 2 N. 14. (Australia) Compute the value of the sum 999;999 X kD1

1 p p p : 3 2 3 2 .k C 1/ C k  1 C 3 .k  1/2

15. Compute, in terms of n 2 N, the value of the sum n X kD1

1 p : p .k C 1/ k C k k C 1

16. (Germany) Given a natural number n > 1, compute, as a function of n, the value Qn  1 of the product jD2 1  j2 . 17. For 0  k  101, let xk D

k . 101

Compute the value of the sum

101 X kD0

x3k : 1  3xk C 3x2k

86

3 Elementary Sequences

18. (Leningrad) Compute, as a function of n 2 N, the value of the product n1 3 Y k C1 : k3  1 kD2

For the next problem, we recall that the arithmetic mean A of a finite collection a1 , a2 , . . . , ak of real numbers is the real number AD

a1 C a2 C    C ak : k

19. (Macedonia) Find all values of n 2 N for which we can write the set A D f1; 2; 3; : : : ; 4ng as the union of n pairwise disjoint 4-element subsets, such that, in each of them, one element is the arithmetic mean of the other three. 20. (China—adapted) Use the result of Problem 13, page 26, to compute the value of the greatest integer that is less than or equal to 1 1 1 1 S D p C p C p CC p : 10;000 1 2 3 21. * Given positive integers n and p, prove that: (a) kp < .kC1/ pC1k < .k C 1/p , for every k 2 N. Pn1 p npC1 Pn (b) kD1 k < pC1 < kD1 kp . pC1

pC1

Chapter 4

Induction and the Binomial Formula

With the algebraic background of the previous chapters at our disposal, we devote the first section of this chapter to the development of a very important topic in elementary Mathematics, namely, the principle of mathematical induction. It will considerably improve our ability of elaborating proofs of mathematical statements that depend on natural numbers. In the other two sections, we shall apply this principle to deduce Newton’s formula for binomial expansion, as well as some important related results.

4.1 The Principle of Mathematical Induction Generally speaking, there are several ways of proving something. For instance, we can make a direct proof, or a proof by contradiction (for more on Logic and proof techniques, see the first chapters of [21]). In this sense, the principle of mathematical induction will provide us yet another way of proving certain types of mathematical statements. To understand how this principle works, let’s consider a subset A  N such that 1 2 A. Also, suppose we know that, whenever a certain natural number k is in A, then, so k C 1 also is in A. Therefore, 1 2 A assures that 2 D 1 C 1 2 A; accordingly, 2 2 A allows us to conclude that 3 D 2 C 1 2 A. Continuing this way, we conclude that A contains all natural numbers, or, which is the same, that A D N. This intuitive discussion can be formalized as the following axiom, known as the principle of mathematical induction. Axiom 4.1 Let A  N be a set satisfying the following conditions: (a) 1 2 A. (b) k 2 A ) k C 1 2 A. Then A D N. © Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_4

87

88

4 Induction and the Binomial Formula

At this point, a natural question is: how can we apply the principle of mathematical induction to prove something in Mathematics? In order to answer it, suppose there is given a property P.n/ of the natural number n, which we wish to prove to be true for every n 2 N. Then, we let A D fk 2 NI P.k/ is trueg and observe that A D N , .P.n/ is true for every n 2 N/: Thus, in order to prove that P.n/ is true for every n 2 N, it suffices to prove that A D N; yet in another way, by invoking the principle of mathematical induction, it suffices to prove that: • 1 2 A; • k 2 A ) k C 1 2 A. In turn, the definition of the set A assures that, showing the validity of the two items above is the same as showing that • P.1/ is true; • P.k/ true ) P.k C 1/ true. The previous discussion can be summarized as the following recipe for a proof by induction. Proposition 4.2 If P.n/ is a property of the natural number n, then P.n/ is true for every n 2 N if and only if the following two conditions are satisfied: (a) P.1/ is true; (b) P.k/ true ) P.k C 1/ true. To understand how a proof by induction works in practice, let’s start by discussing two examples, the first of which was already considered in the previous chapter. Example 4.3 Prove that, for every n 2 N, the sum of the first n odd natural numbers equals n2 . Proof Since the kth odd natural number is 2k1, the property P.n/ is, in this case, the same as P.n/ W

n X

.2j  1/ D n2 :

jD1

As was said before, in order to prove by induction that P.n/ is true for every n 2 N, we have to verify that:

4.1 The Principle of Mathematical Induction

89

i. P.1/ is true. ii. P.k/ true ) P.k C 1/ true. Checking i. is immediate: the first odd natural number is 1, which is the same as 12 . In order to verify ii., we have to assume that P.k/ is true, i.e., that k X

.2j  1/ D k2 ;

(4.1)

jD1

and find a way to deduce from this that P.k C 1/ is also true, i.e., that kC1 X .2j  1/ D .k C 1/2 :

(4.2)

jD1

Since we are assuming that P.k/ is true, we can substitute (4.1) into the left hand side of (4.2) to get kC1 X jD1

.2j  1/ D

k X .2j  1/ C .2k C 1/ D k2 C .2k C 1/ D .k C 1/2 : jD1

Hence, it follows by induction that P.n/ is true for every n 2 N.

t u

Example 4.4 Prove that, for every n 2 N, the sum of the first n perfect squares is equal to 1 n.n C 1/.2n C 1/: 6 Proof Since the kth perfect square is the number k2 , the property P.n/ is, in this case, P.n/ W

n X

j2 D

jD1

1 n.n C 1/.2n C 1/: 6

As before, in order to compose a proof by induction, we have to verify that: i. P.1/ is true. ii. P.k/ true ) P.k C 1/ true. Again, verifying i. is immediate: 12 D P.k/ is actually true, i.e., that k X jD1

j2 D

1.1C1/.21C1/ . 6

To verify ii. let’s assume that

1 k.k C 1/.2k C 1/; 6

(4.3)

90

4 Induction and the Binomial Formula

and find a way to deduce that P.k C 1/ is also true, i.e., that kC1 X

j2 D

jD1

1 .k C 1/Œ.k C 1/ C 1Œ2.k C 1/ C 1: 6

(4.4)

Substituting (4.3) into the left hand side of (4.4), we obtain kC1 X

j2 D

jD1

k X

j2 C .k C 1/2

jD1

1 k.k C 1/.2k C 1/ C .k C 1/2 6 1 D .k C 1/Œk.2k C 1/ C 6.k C 1/ 6 1 D .k C 1/.k C 2/.2k C 3/: 6 D

Hence, it follows by induction that P.n/ is true for every n 2 N.

t u

Below, we state (also as an axiom) a slightly more general form of the principle of mathematical induction, which gives it greater flexibility in applications. Axiom 4.5 Let a 2 N and A  fa; a C1; a C2; : : :g be a set satisfying the following conditions: (a) a 2 A. (b) k 2 A ) k C 1 2 A. Then, A D fa; a C 1; a C 2; : : :g. As the reader may be guessing right now, the prototype application of this form of the principle of mathematical induction is to prove that a certain property P.n/ is true for every natural number n  a, where a is a natural number given in advance. This can be done by letting A D fk 2 NI P.k/ is trueg and observing that A D fa; a C 1; a C 2; : : :g m P.n/ is true for every natural number n  a: This way, we obtain the following more general recipe for proofs by induction.

4.1 The Principle of Mathematical Induction

91

Proposition 4.6 Let a 2 N. If P.n/ is a property of the natural number n, then P.n/ is true for every natural number n  a if and only if the following two conditions are satisfied: (a) P.a/ is true; (b) P.k/ true ) P.k C 1/ true. The next example illustrates the fact that, sometimes, this more general form of proof by induction is really necessary. Example 4.7 Prove that nŠ > 2n , for every natural number n  4. Proof First of all, observe that we really need to start from n D 4, for the inequality nŠ > 2n is not true when n D 1, 2 or 3. The property P.n/ we wish to prove is P.n/ W nŠ > 2n : In order to prove it by means of mathematical induction, we have to prove that P.4/ is true and that P.k/ true ) P.k C 1/ true. The validity of P.4/ follows from 4Š D 24 > 16 D 24 . Let’s then suppose that, for some k 2 N, the property P.k/ is actually true, i.e., that kŠ > 2k : From this, we wish to deduce the trueness of P.k C 1/, i.e., that .k C 1/Š > 2kC1 . To this end, we first use the trueness of P.k/ to get .k C 1/Š D .k C 1/  kŠ > .k C 1/  2k I subsequently, we note that .k C 1/  2k  2kC1 for every integer k  1. Hence, by combining the two inequalities got above, we arrive at .k C 1/Š > 2kC1 , thus concluding that P.k C 1/ is indeed true. Therefore, it follows by induction that the property P.n/ is true for every integer n  4. t u Before we present another example, it is appropriate to make some comments on terminology: in a proof by induction, the step P.k/ ) P.k C 1/ is generally called the induction step. In order to execute it, we assume that the property P.k/ is indeed true (and this assumption constitutes our induction hypothesis) and, then, use this trueness, possibly together with other arguments, to deduce that the property P.k C 1/ is also true. Thus, a proof by mathematical induction, as stated in Proposition 4.6, is usually done by executing the following steps:

92

• • • •

4 Induction and the Binomial Formula

identification: isolate the property P.n/ to be proved; initial case: verify the validity of P.a/; induction hypothesis: assume the trueness of P.k/. induction step: deduce the validity of P.k C 1/, with the aid of the induction hypothesis and (perhaps) other arguments.

The statement of each problem generally makes it quite clear what the property P.n/ is. Therefore, a proof by induction is usually centered around the three last steps of the above scheme. Moreover, it is also customary not to explicitly state either the property P.k/ or the induction step P.k/ ) P.k C 1/. The discussion of the next example is performed in this shortened way. Example 4.8 (Brazil) For every integer n > 2, show that there exist n pairwise distinct natural numbers whose sum of inverses equals 1. Proof Let’s make induction on n  3, the initial case n D 3 following from 1 1 1 C C D 1: 2 3 6 Now suppose, by induction hypothesis, that, for a certain natural k  3, there exist natural numbers x1 < x2 <    < xk such that 1 1 1 C CC D 1: x1 x2 xk Multiplying both sides of the equality above by the resulting equality, we obtain

1 2

and adding

1 2

to both sides of

1 1 1 1 C C CC D 1: 2 2x1 2x2 2xk Since 2 < 2x1 < 2x2 <    < 2xk , we have got k C 1 pairwise distinct natural numbers whose sum of inverses is also equal to 1, and this completes the induction step. t u When applying the principle of mathematical induction to prove something, one must be very careful in the execution of the induction step, to avoid absurd conclusions. This point is better illustrated with the following classical example and the subsequent discussion on the reasoning we shall present. Example 4.9 In a farm, if one horse is white, show that all horses are white. Proof Let’s “prove” the statement above by induction on the number n of horses. To the initial step, note that if a farm has just one horse and at least one of its horses is white, then surely all horses in the farm are white. By induction hypothesis, assume that in a farm with k horses, if at least one of them is white, then all are white. Then, consider a farm with k C 1 horses, also with

4.1 The Principle of Mathematical Induction

93

at least a white one. Take one horse from the farm, one that is not that we knew a priori to be white. Since we are left with k horses in the farm, at least one of which is white, it follows from the induction hypothesis that all of the k horses are white. Now, bring back the horse who was taken from the farm, and take from it one that was left at the first time. Again, we are left with k horses, at least one of which is white, so that, applying the induction hypothesis one more time, we conclude that all of these k horses are also white. However, since the horse we took from the farm this second time was already white, we conclude that all of the k C 1 horses are white. t u It is quite evident that there is some absurd in the “proof” presented above, for the statement of the example does not reflect the reality. The point is that we did not succeed in executing the induction step, for our reasoning does not work in a farm with two horses, as you can readily verify. There is yet another important form of the principle of mathematical induction, generally referred to as the strong principle of mathematical induction, or simply as strong induction. We describe it next. Axiom 4.10 Let A  N be a set satisfying the following conditions: (a) 1 2 A. (b) f1; : : : ; kg  A ) k C 1 2 A. Then, A D N. At this point, the reader should probably find it clear how to use of the strong principle of induction to compose proofs. Nevertheless, in order to further illustrate it, we take a look at a couple of examples. Example 4.11 (OCS p - adapted) Show that, for every n 2 N, the number .7 C p 4 3/n C .7  4 3/n is a positive even integer. p p Proof Let u D 7C4 3 and v D 74 3. Then, uCv D 14 and uv D 1, from where it follows that u and v are the roots of the second degree equation x2  14x C 1 D 0. It follows from this that u2 D 14u  1 and v 2 D 14v  1, and hence, for every integer k  2, uk D 14uk1  uk2 and v k D 14v k1  v k2 : Thus, letting sj D uj C v j and adding both relations above, we get, for every integer k  2, that sk D 14sk1  sk2 : Now, observe that s0 D 2 and s1 D u C v D 14, both integers. Suppose, by induction hypothesis, that sk 2 Z for every integer 1  k < n. Then, the recurrence relation above gives sn D 14sn1  sn2 ; from where we conclude that sn , being the sum of two integers, is also integer.

94

4 Induction and the Binomial Formula

To what was left to prove, note that u; v > 0 guarantee that sn D un C v n is positive for every n 2 N. On the other hand, again from the recurrence relation for the sequence .sk /k1 , we conclude that sk and sk2 always have the same parity, i.e., they are either both even or both odd. However, since s0 and s1 are both even, it follows again by induction that sn is an even integer, for every natural n. t u Example 4.12 Show that every natural number n can be written, in a unique way, as a sum of powers of 2 with nonnegative and pairwise distinct integer exponents. This way of writing n is called its binary representation or expansion. Proof Let’s make a proof by strong induction. For n D 1, we have 1 D 20 , and this is obviously the only possible binary representation of 1. Now, suppose that the desired result is true for every natural number less than a certain natural n > 1. We first show that n has at least one binary representation. To this end, take the greatest power of 2 which is less than or equal to n, say 2k . Then, 2k  n < 2kC1 ; so that 0  n  2k < 2k . If n  2k D 0, there is nothing left to do. Otherwise, 1  n  2k < n and, by induction hypothesis (here, we are assuming that every natural number less than n has a binary representation; therefore, we are making a strong induction argument), there exist nonnegative integers 0  a0 < a1 <    < al such that n  2k D 2a0 C 2a1 C    C 2al : Using once more the inequality n  2k < 2k , it follows that 2a0 C 2a1 C    C 2al < 2k and, thus, al < k. Hence, n D 2a0 C 2a1 C    C 2al C 2k ; with 0  a0 < a1 <    < al < k. We then show that the binary representation of n is unique. So, let’s assume that n D 2a0 C 2a1 C    C 2aj D 2b0 C 2b1 C    C 2bl ; with 0  a0 < a1 <    < aj and 0  b0 < b1 <    < bl . Then, 2aj  2a0 C 2a1 C    C 2aj D n D 2b0 C 2b1 C    C 2bl  20 C 21 C    C 2bl D 2bl C1  1;

4.1 The Principle of Mathematical Induction

95

where in the last passage we used the formula for the sum of the terms of a finite GP. It follows from the above that 2aj < 2bl C1 and, hence, aj < bl C 1, i.e., aj  bl . Changing the roles of aj and bl in the above computations, we analogously get bl  aj and, thus, aj D bl . Letting aj D bl D k, say, we obtain n  2k D 2a0 C 2a1 C    C 2aj1 D 2b0 C 2b1 C    C 2bl1 :

(4.5)

Since n  2k < n, if we now invoke the uniqueness part of the induction hypothesis (i.e., if we assume that the binary representation of every natural number less than n is unique), then (4.5) gives j  1 D l  1 and a0 D b0 , a1 D b1 , . . . , aj1 D bl1 , as we wished to prove. t u Before you go on and try the proposed problems, there are two remarks that ought to be made. Firstly, if we want to prove the validity of a certain property P.n/ of the natural number n, then using induction will not always be the best possible choice. For example, try Problem 1 and, after you are done, compare your proof by induction to the one given in Example 3.7. Secondly, apart from Problems 8 to 12, we do not present any applications of induction (and there are lots of them) to either Combinatorics or Number Theory. Instead, we refer the interested reader to [5].

Problems – Section 4.1 1. Use the principle of induction to prove that the sum of the first n natural numbers equals n.nC1/ . 2 2. Prove that, for every natural number n, one has   n.n C 1/ 2 13 C 23 C    C n3 D : 2 3. Prove that, for every natural number n, one has 1

1 1 1 1 1 1 C  C D C CC : 2 3 2n  1 n nC1 2n  1

4. (Canada) For n 2 N, let h.n/ D 1 C

1 2

C

1 3

C    C 1n . Prove that

n C h.1/ C h.2/ C h.3/ C    C h.n  1/ D nh.n/: 5. Show that, for every integer n > 1, one has 1  2 C 2  3 C    C .n  1/n D

1 .n  1/n.n C 1/: 3

6. Prove that, for every integer n > 1, one has 12 C 32 C 52 C    C .2n  1/2 D

1 .2n  1/2n.2n C 1/: 6

96

4 Induction and the Binomial Formula

7. Given n 2 N and real numbers a1 ; a2 ; : : : ; an , prove the general version of the triangle inequality: ja1 C a2 C    C an j  ja1 j C ja2 j C    C jan j:

8. 9. 10.

11.

12. 13.

14.

(4.6)

Also, show that if a1 ; a2 ; : : : ; an ¤ 0, then equality holds in (4.6) if and only if a1 , a2 , . . . , an have equal signs. Prove that 9 divides 4n C 15n  1, for each natural n. Prove that 3 divides n3  n, for each natural number n. n1 Prove that 3n divides 43  1, for every integer n  1. The result of the next problem is known as the fundamental principle of counting or as the multiplicative principle. * Show that, if we have n1 ways of choosing an object of type 1, n2 ways of choosing an object of type 2, . . . , nk ways of choosing an object of type k, then the number of ways of choosing simultaneously one object of each of the types from 1 to k is n1 n2 : : : nk . * Prove that a set with n elements has exactly 2n subsets. * Let .an /n1 and .bn /n1 be two sequences satisfying the second order linear recurrence relation with constant coefficients ukC2 C rukC1 C suk D 0, for every k  1. If a1 D b1 and a2 D b2 , prove that an D bn , for every n  1. Then, extend this result to the case in which both sequences .an /n1 and .bn /n1 satisfy identical third order linear recurrence relations with constant coefficients. Let .an /n1 be a sequence of nonzero real numbers such that, for every n  2, we have n1 X jD1

1 n1 D : aj ajC1 a1 an

Prove that the sequence is an AP. 15. (Bulgaria - adapted) * The sequence .an /n1 is defined by a1 D 1 and, for k  1 integer, akC1 D a2k  ak C 1. Prove that, for every integer n  1, we have: (a) P anC1 D a1 : : : an C 1. n 1 1 (b) jD1 aj D 2  a1 a2 :::an . 16. Prove that, for every natural number n, we have 22 > nn . 17. (Macedonia) Let x be a nonzero real number, such that x C x1 2 Z. Prove that xn C xn 2 Z, for every integer n. 18. (Brazil) Let .xn /n1 and .yn /n1 be sequences of real numbers such that, for every integer k  1, we have xkC1 D x3k  3xk e ykC1 D y3k  3yk . If x21 D y1 C 2, show that x2n D yn C 2 for every integer n  1. 19. (Putnam) Let .xn /n0 be a sequence of nonzero real numbers satisfying, for every integer n  1, the recurrence relation x2n  xn1 xnC1 D 1. Prove that there exists a real number ˛ such that xnC1 D ˛xn  xn1 , for every n 2 N. n

4.1 The Principle of Mathematical Induction

97

The next four problems concern the Fibonacci sequence. We refer the reader to Example 3.17, for a review of its definition. 20. Let .Fn /n1 be the Fibonacci sequence. Prove that, for every n 2 N, the following identities are true: (a) (b) (c) (d) (e)

F1 C F2 C    C Fn D FnC2  1. F12 C F22 C    C Fn2 D Fn FnC1 . F1 C F3 C    C F2n1 D F2n . F2 C F4 C    C F2n D F2nC1  1. 2 FnC1  Fn FnC2 D .1/n .

21. Let .Fn /n1 be the Fibonacci sequence. Prove that, for every m; n 2 N, with m > 1, we have FmCn D Fm FnC1 C Fm1 Fn . 22. Let .Fn /n1 be the Fibonacci sequence and .Ln /n1 be the Lucas sequence (cf. Problem 7, page 77). Given m; n 2 N, prove that: (a) 2FmCn D Fm Ln C Fn Lm . (b) 2LmCn D 5Fm Fn C Lm Ln . 23. Let .Fn /n1 be the Fibonacci sequence. (a) Prove thatpFn D n2 if and only if n D 1 or 12.1 (b) If ˛ D 1C2 5 , do the following items: i. Prove that ˛ n D Fn ˛ C Fn1 , for every integer n  1. ii. Find all n 2 N such that ˛ n  n2 ˛ is an integer. 24. (TT) Let .an /n1 be a sequence of pairwise distinct natural numbers. Prove that there are infinitely many naturals k such that ak > k. 25. (France) Let .an /n1 be a sequence of positive real numbers such that a1 D 1 and a31 C a32 C    C a3n D .a1 C a2 C    C an /2 ; for every integer n  1. Show that an D n, for every integer n  1. 26. * For a fixed real number a > 1, let .xn /n1 be a sequence of real numbers such p p 1 that a < x1 < a C 1 and xkC1 D 2 xk C xak , for each integer k  1. Prove that, for every integer n  1, we have p

a < xn 

p 1 a C n1 : 2

27. (France) Prove that, for every integer n > 5, there exist n positive integers such that the sum of the inverses of their squares is equal to 1.

More generally, it can be shown that Fn is a perfect square if and only if n D 1 or 12. For a proof of this fact, see the problems of Section 12.3 of [5].

1

98

4 Induction and the Binomial Formula

28. Given m; n 2 N, with m > 1, prove that there exist unique nonnegative integers k, a0 , a1 , : : :, ak such that 0  ai < m for 0  i  k, ak ¤ 0 and n D ak mk C ak1 mk1 C    C a2 m2 C a1 m C a0 : In this case, we write n D .ak ak1 : : : a1 a0 /m and say that the right hand side above is the representation of n in base m, or the madic representation of n. 29. (Sweden) Prove that, for every natural number n, there exists a unique sequence .aj /j1 of integers, such that 0  aj  j for every j  1 and n D a1  1Š C a2  2Š C a3  3Š C    : 30. * Prove Zeckendorf’s theorem2 : every natural number can be uniquely written as a sum of Fibonacci numbers of nonconsecutive and greater than 1 indices.

4.2 Binomial Numbers We start by recalling the definition of fatorial, extended to the nonnegative integers. Definition 4.13 The fatorial of a given nonnegative integer n is the number nŠ, given by ( nŠ D

1; if n D 0 Qn : jD1 j; if n  1

One could guess that it would be much more reasonable to define 0Š as being equal to 0. Nevertheless, the reasons for letting 0Š be equal to 1 will soon become evident. Definition  4.14 Given integers n and k, with 0  k  n, we define the binomial number nk by ! n nŠ D : k kŠ.n  k/Š It is easy to verify, directly from the definition, that ! n D 1; 0

2

! n D n; 1

! n n.n  1/ D 2 2

After Édouard Zeckendorf, belgian mathematician of the XX century.

4.2 Binomial Numbers

99

for every nonnegative integers n for which the binomial numbers above are defined. On the other hand, for every integers n and k such that 0  k  n, we have ! ! n n D : (4.7) k nk Indeed, this follows at once from ! ! n nŠ nŠ n D D D : k nk kŠ.n  k/Š .n  k/Š.n  .n  k//Š    Notice that the binomial numbers n0 , n1 and n2 , whenever defined, are all  naturals (in the case of n2 D n.n1/ , this is due to the fact that the product of 2 any two consecutive integers is an even number). This is also true in the case of n n.n1/.n2/ D , for, among any three consecutive integers, there is always a 6 3 multiple of 3 and an even integer, so that n.n   1/.n   n 3/ isnalways  n  a multiple  D 1 , n2 D n2 and of 6. On the other hand, (4.7) assures that nn D n0 , n1  n  n D 3 , whenever defined, are also natural numbers. n3  The discussion of the previous paragraph makes it natural to ask whether nk is a natural number for every choice of integers n and k such that 0  k  n. This is indeed the case, and will be a straightforward consequence of relation (4.8) below,3 which is known as Stifel’s relation.4 Proposition 4.15 Given integers n and k such that 1  k < n, we have ! ! ! n n1 n1 D C : k k k1

(4.8)

Proof It suffices to apply the definition of binomial number to the right hand side of the equality above, together with some algebraic manipulations: ! ! .n  1/Š n1 n1 .n  1/Š C C D kŠ.n  1  k/Š .k  1/Š.n  k/Š k k1   .n  1/Š 1 1 D C .k  1/Š.n  1  k/Š k nk n .n  1/Š .k  1/Š.n  1  k/Š k.n  k/ ! n nŠ D D : kŠ.n  k/Š k D

t u 3 4

Another proof is the object of Problem 8. After Michael Stifel, german mathematician of the XVI century.

100

4 Induction and the Binomial Formula

With the binomial numbers we construct an infinite triangular numerical table, known as Pascal’s triangle,5 in the following way: we count lines and columns starting from 0, lines being labelled from top to bottom and columns from left to right; for 0  k  n, the .n; k/th entry, i.e., the number written   on the crossing of the nth line and the kth column, is the binomial number nk . More precisely: • The entries of column   from  top to bottom, are respectively equal to the   0, read binomial numbers 00 ; 10 ; 20 ; 30 ; : : :. As we have already seen, all such numbers are equal to 1.  • Line 0 is formed solely by the binomial number 00 D 1. Line 1 is composed by   the binomial numbers 10 and 11 , both of which are also equal to 1. • In general, the entries of line   n,  read from   left to right, are respectively equal to the binomial numbers n0 ; n1 ; n2 ; : : : ; nn . According to the above recipe, we show below the first few lines of Pascal’s triangle: Pascal’s Triangle 0 0 1 0

1 1

2 0

2 1

2 2

3 0

3 1

3 2

3 3

4 0

4 1

4 2

4 3

4 4

5 0

5 1

5 2

5 3

5 4

5 5

6 0

6 1

6 2

6 3

6 4

6 5

6 6

···

···

···

···

···

···

···

···

With respect to Pascal’s triangle, Stifel’s relation says that, whenever we add, in line n  1, the entries at columns k  1 and k, we get the entry situated at line n and column k. This is more difficult to say than to understand and verify,   and allows us to recursively get the numerical values of the binomial numbers nk . The table below  shows the numerical values of the binomial numbers nk for 0  n  6, obtained with the aid of Stifel’s relation. 5 After Blaise Pascal, french mathematician of the XVII century. Besides the triangle that bears his name, there is an important Pascal’s theorem in the theory of conics, which has greatly motivated the developments of Projective and Algebraic Geometry.

4.2 Binomial Numbers

101

1 1 1 1 1 1 1

1 2 3 4 5 6

1 3 6 10 15

1 4 10 20

1 5 15

1 6

1

···

···

···

···

···

···

···

···

  More gerally, since n0 D 1 and nn D 1 whenever these numbers are defined,  it is not difficult for the reader to convince himself or herself that nk 2 N for all integers n and k such that 0  k  n. We give a formal proof of this fact in the corollary below.  Corollary 4.16 For all integers n and k such that 0  k  n, we have nk 2 N. Proof Let’s make induction   on n  0, the case n D 0 being obvious, for the only such binomial number is 00 D 1.   Now suppose, by induction hypothesis, that n1 is a natural number for every j  0  j  n  1, and consider a binomial number of the form nk . There are two cases to consider:   (i) If k D 0 or k D n, then we have already observed that n0 D nn D 1.   (ii) If 1  k  n  1, then it follows from the induction hypothesis that both n1 k n1 and k1 are natural numbers. Hence, Stifel’s relation gives ! ! ! n n1 n1 D C 2 N: k k k1

t u

Later (cf. Theorem 4.20), we shall see that one of the main utilities of Pascal’s triangle is that it provides an easy and quick way to write down the expansion of the binomial .x C y/n for small values of n. For the time being, let’s establish some useful identities relating the entries of a row, column or diagonal of it. The formula of the following proposition is known as the columns’ theorem of Pascal’s triangle. Proposition 4.17 In the column n of Pascal’s triangle, the sum of the entries in rows n, n C 1, . . . , n C k  1 is equal to the entry located at column n C 1 and row n C k. In symbols, ! ! k1 X nCj nCk D : n nC1 jD0

(4.9)

102

4 Induction and the Binomial Formula

Proof Let’s make   by induction on k  1. The initial case k D 1 reduces to   a proof verifying that nn D nC1 nC1 , which is immediate. By induction hypothesis, suppose that, when k D l  1, (4.9) is true for all nonnegative integer values of n. Then, for k D l C 1 and every integer n  0, we have ! ! ! l l1 X X nCj nCj nCl D C n n n jD0 jD0 ! ! nCl nCl D C nC1 n ! nClC1 D ; nC1 where we used Stifel’s relation in the last equality above. Therefore, it follows by induction that (4.9) is true for every k 2 N and every integer n  0. t u In the coming example, we employ the columns’ theorem to compute the sum of the first n perfect squares. Example 4.18 Given n 2 N, compute the value of 12 C 22 C    C n2 in terms of n. P Solution Letting S D njD1 j2 , we have ! ! n n X X j j C : SD j.j  1/ C jD2 2 1 jD1 jD1 jD2 jD1 n X

n X

Therefore, it follows from (4.9) that ! ! nC1 nC1 1 SD2 C D n.n C 1/.2n C 1/: 3 6 2 t u Given an integer n  0, the diagonal n of Pascal’s triangle is formed by the binomial numbers ! ! ! ! n nC1 nC2 nC3 ; ; ; ;:::: 0 1 2 3 With respect to them, the following corollary is the diagonals’ theorem of Pascal’s triangle.

4.2 Binomial Numbers

103

Corollary 4.19 In the diagonal n of Pascal’s triangle, the sum of the entries in rows 0; 1; : : : ; k1 is equal to the entry located at row nCk and column k1. In symbols, ! ! k1 X nCj nCk D : j k1 jD0 Proof Since

nCj j

D

(4.10)

nCj , it follows from the columns’ theorem that n

! k1 ! ! k1 X X nCj nCj nCk D D D j n nC1 jD0 jD0

! nCk : k1 t u

Problems – Section 4.2   is even, for every n 2 N. 1. Prove that 2n n 2. Use the results of this section to compute the value of 13 C 23 C    C n3 , for every n 2 N. 3. * For n 2 N, prove that ! ! n n < <  < 0 1

n

! >

n 2

n 2

! ! n n >  > C1 n

if n is even, and ! ! n n < <  < 0 1

!

n n1 2

D

n

!

nC1 2

! n >  > n

if n is odd.   5n 4. Prove that, for every integer n  2, one has 2 4 < 2n n . 5. Given natural numbers k and m, with m > k, prove that n  k1 nnC1 nDk k k

m X



1 D 1  mC1 : k

6. Let n and k be given integers, such that 0  k  n. Prove that ! ! ! ! ! n n  1 n n n D .1/k :  C     C .1/k k k 0 1 2

104

4 Induction and the Binomial Formula

7. Let .Fk /k1 be the Fibonacci sequence (cf. Example 3.17). Show that, for every n 2 N, one has n1 ! bX 2 c nj1 ; Fn D j jD0

where b n1 2 c denotes the greatest integer less than or equal to

n1 2

 D

n1 ; 2 n3 2 ;

n1 2 ,

i.e.,

if n is odd : if n is even

8. * Givenintegers n and k such that 0  k  n, prove that the set f1; 2; : : : ; ng has  exactly nk subsets of k elements each.

4.3 The Binomial Formula We shall now obtain Newton’s binomial formula,6 i.e., we shall explicitly write .x C y/n as a sum of monomials of the form xk yl . Theorem 4.20 Given n 2 N, we have ! n X n nj j .x C y/ D x y: j jD0 n

(4.11)

Proof For n D 1, we have ! ! 1 1 1 1 .x C y/ D x C y D x C y: 0 1 1

Suppose, by induction hypothesis, that (4.11) is true for n D k, i.e., that ! k X k kj j .x C y/ D x y: j jD0 k

6

Sir Isaac Newton, english mathematician and physicist of the XVII century, is considered to be one of the greatest scientists ever. Actually, it is difficult to properly address Newton’s contribution to the development of science. Known as the father of modern Physics, Newton also created, together with G. W. Leibniz, the Differential and Integral Calculus. His masterpiece, Philosophiae Naturalis Principia Mathematica, is one of the most influential books ever written and contains the cornerstones of both Calculus and Physics.

4.3 The Binomial Formula

105

For n D k C 1, we thus have .x C y/

kC1

! k X k kj j D .x C y/.x C y/ D .x C y/ x y j jD0 k

! ! k k X k kC1j j X k kj jC1 x x y D y C j j jD0 jD0 Dx

kC1

! ! k k1 X k kC1j j X k kj jC1 x x y C ykC1 : C y C j j jD1 jD0

P In the last line above, let’s perform P the following changes of indices: in the first , change j per l and, in the second , change j C 1 per l; in this way, in the second P we have j D l  1 and 0  j  k  1 , 1  l  k. Then, we get .x C y/

kC1

! !# k k C xkC1l yl C ykC1 Dx C l l  1 lD1 ! k X k C 1 kC1l l kC1 Dx C y C ykC1 ; x l lD1 kC1

k X

"

where we used Stifel’s kC1 in the last equality.   relation D Finally, since kC1 0 kC1 D 1, we can write the last line above as ! ! ! k k C 1 kC1 X k C 1 kC1l l k C 1 kC1 x C y C y x 0 kC1 l lD1 or, which is the same, ! kC1 X k C 1 kC1l l x y: l lD1 This is exactly the expression we would like to reach, so that, by induction, we conclude that (4.11) is true for every n 2 N. t u Corollary 4.21 Given n 2 N, we have ! n xnj yj : .x  y/n D .1/j j jD0 n X

Proof It suffices to apply (4.11), writing y in place of y.

t u

106

4 Induction and the Binomial Formula

It is customary to write ! n nj j Tj D x y j and say that such a monomial Tj is the general term of the expansion of .x C y/n . Hence, .x ˙ y/n D T0 ˙ T1     .˙1/n Tn : In what follows, we collect some examples of application of the binomial formula, as well as some important consequences of it. n  p Example 4.22 Find the least n 2 N for which the expansion of x x C x14 has a summand not depending on x. For such an n, compute this summand. Solution In expanding the given expression, the general term is ! ! !   p nk 1 k n n 3 .nk/ 4k n 3n11k D x D .x x/ x2 x 2 : k x4 k k Therefore, there is a summand not depending on x if and only if there exists 0  k  n such that 3n  11k D 0. Hence, n D 11k , so that the least possible n 2 N is 3 n D 11, obtained for k D 3. In this case, the summand that doesn’t depend on x is 11 D 165. t u 3 p Example 4.23 Let k 2 N and a; b; r 2 Q, with r > 0 such that r is irrational. Prove that: p p k (a) There exist p c;k d 2 Q such p that .a C b r/ D c C d r. p p (b) If .a C b r/ D c C d r, with c; d 2 Q, then .a  b r/k D c  d r. Proof

p (a) By expanding .a C b r/k , we get X p .a C b r/k D 0jk

2jj

! ! k kj j p j p X k kj j p j1 a b r C r a b r : j j 0jk 2−j

Making cD

X 0jk

2jj

! ! X k p k kj j p j a b r and d D akj bj rj1 ; j j 0jk

it is immediate that c; d 2 Q (since an odd j).

(4.12)

2−j

p p rj 2 Q for an even j, and rj1 2 Q for

4.3 The Binomial Formula

107

p (b) It sufficespto note that the expansion of .a  b r/k is essentially equal to that of .a C b r/k , the difference lying on the signs of half of the summands. More precisely, in the notations of (4.12), we get X p .a  b r/k D 0jk

2jj

! ! k kj j p j p X k kj j p j1 a b r  r a b r j j 0jk

p D c  d r:

2−j

t u

Example 4.24 Use Newton’s binomial formula to prove Lagrange’s identity:7 ! !2 n X 2n n D : n j jD0

(4.13)

Proof Writing .1Cx/2n D .1Cx/n .1Cx/n and applying Newton’s binomial formula to both sides, we get ! ! !0 n ! 1 ! ! 2n n n X X 2n k n i @X n j A X n n iCj x D x x D x : k i j i j kD0 iD0 jD0 i;jD0 Comparing the coefficients of xn in the first and last expressions above and using (4.7), we get ! ! ! !2 ! ! n n X X X n n n n 2n n : D D D i i i n j ni iCjDn iD0 iD0 t u Item (a) of the following corollary is known as the lines’ theorem of the Pascal’s triangle. Corollary 4.25 Given n 2 N, we have: Pn n D 2n . (a)  PjD0 jn P D 0jn nj D 2n1 : (b) 0jn j 2jj

2−j

Proof For item (a), it suffices to set x D y D 1 in the formula for .x C y/n .

7

Joseph Louis Lagrange, french physicist and mathematician of the XVIII century. Lagrange was one of the greatest scientists of his time, with notable contributions to Physics and Mathematics. In particular, he was a pioneer in the fields of Calculus of Variations and Celestial Mechanics.

108

4 Induction and the Binomial Formula

In what concerns item (b), we start by setting x D 1 and y D 1 in the binomial formula to get (check it!) X

0D

0jn

2jj

Now, letting A D

P

0jn

2jj

above relation that

n j

! ! X n n  : j j 0jn

and B D 

2−j

P

0jn

2−j

n , it follows from (a) and the j

A C B D 2n : ABD0

Hence, we have A D B D 2n1 .

t u

Remark 4.26 It is possible to generalize the formulas of item (b) of the previous corollary in the following way: given integers 0  r < k < n, we can compute the value of the sum ! ! ! n n n C C C r kCr 2k C r in terms of n, k andr.For instance,    for kD 3 we   can  compute, interms   of  n2 N, the values of the sums n0 C n3 C n6 C   , n1 C n4 C n7 C   and n2 C n5 C n8 C   . The corresponding deduction uses the multisection formula, which will be obtained in Chapter 15 of [5], with the aid of complex numbers. We finish this small chapter with an example that illustrates the use of the lines’ theorem of Pascal’s triangle to the computation of sums. Example 4.27 Given n 2 N, compute the value of ! ! ! ! n n n n C2 C3 CCn : 1 2 3 n Solution First of all, note that for j 2 N we have n j j

!

nŠ nŠ D jŠ.n  j/Š .j  1/Š.n  j/Š ! n1 .n  1/Š Dn : Dn j1 .j  1/Š.n  j/Š

Dj

4.3 The Binomial Formula

109

Hence, it follows from the lines’ theorem that ! ! n n X X n1 n D n  2n1 : j Dn j  1 j jD1 jD1 t u

Problems – Section 4.3 P  1. Given n 2 N, compute the value of the sum njD0 nj 3j . Pn1 n1 k Pn n k B 38 2. Let A D kD0 k 3 and B D kD0 k 11 . If A D 4 , compute the value of n. 1 3. Show that .1; 1/n  200 .n2 C 19n C 200/. 4. (OCM) Without directly evaluating all summands, compute the value of the sum 1 1 1 1 1 1 C C C C C : 10Š 3Š8Š 5Š6Š 7Š4Š 9Š2Š 11Š  65 5. Find the maximal term in the expansion of 1 C 13 . 6. (Baltic Way). Let a, b, c and d be real numbers for which a2 C b2 C .a C b/2 D c2 C d2 C .c C d/2 . Prove that a4 C b4 C .a C b/4 D c4 C d4 C .c C d/4 .   22n1 7. Given n 2 N, prove that 2n n . n > 8. In the expansion of x.1Cx/n , divide the coefficient of each term by the exponent nC1 of x in that term. Prove that the sum of all these numbers equals 2 n 1 . Pn n j 9. Given a 2 Z n f0g and n 2 N, compute the value of the sums jD0 j ja and Pn n 2 jD0 j j in terms of a and n. 10. The sequence .ak /k1 is an AP. Prove that, for every integer n > 1, the following identities are valid: Pn n (a) .1/jC1 aj D 0. j PjD0 n n jC1 2 (b) ajC1 D 0. jD0 j .1/ 11. * If 0 < q < 1 and n 2 N, prove that qn
1, prove that the number a C n b is the root of a polynomial equation with integer coefficients and degree 2n. 13. (Croatia) Let x, y and z be nonzero real numbers, such that x C y C z D 0. Prove that the value of x5 C y5 C z5 xyz.xy C yz C zx/ does not depend on the particular values of x, y and z.

110

4 Induction and the Binomial Formula

14. * Given n 2 N and j; k; l nonnegative integers such that j C k C l D n, we define n  by the trinomial number j;k;l ! n nŠ : D jŠkŠlŠ j; k; l Prove the trinomial expansion formula .x C y C z/ D n

X jCkClDn

! n xj yk zl ; j; k; l

(4.14)

where the sum in the right hand side extends over all possible choices of nonnegative integers j; k; l such that j C k C l D n. 15. Use the result of the previous problem to expand the trinomials .x C y C z/3 and .x C y C z/4 .  10 16. Compute, in the expansion of 1 C x C 6x , the term that doesn’t depend on x. 17. Prove the following identities involving trinomial numbers: n P n (a) jCkClDn j;k;l D 3 .   P l n (b) jCkClDn .1/ j;k;l D 1. 18. * Prove that, for every n 2 N, we have ! n X n F2nC1j D F2nC1  1; j jD1 where Fk is the kth Fibonacci number (cf. Example 3.17). 19. (IMO shortlist) Prove that ! 995 X 1991  k 1 .1/k D : 1991  k k 1991 kD0

Chapter 5

Elementary Inequalities

This chapter is an invitation to the systematic study of algebraic inequalities. More precisely, our main purpose here is to discuss some interesting examples of inequalities, for whose derivation we can use the simple mathematics we developed so far. Later, when we have the tools of Calculus at our disposal, we shall return to the study of algebraic inequalities, largely generalizing some of those we will study here.

5.1 The AM-GM Inequality As will be clear in this section, what allows us to develop a systematic study of inequalities is the basic fact that the square of any real number is nonnegative, and it is zero if and only if the number in question is also equal to zero. To start with, for x; y 2 R we know that .jxj  jyj/2  0, with equality if and only if jxj D jyj. If we expand the left hand side, we get the inequality jxj2 C jyj2  2jxyj or, which is the same, x2 C y2  jxyj; 2

(5.1)

with equality if and only if jxj D jyj. p If we p now start with two positive real numbers a and b, and make x D a  0 and y D b  0, it follows from (5.1) that aCb p  ab; 2 p p with equality if and only if a D b, i.e., if and only if a D b.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_5

(5.2)

111

112

5 Elementary Inequalities

The simplicity of the previous reasoning hides its importance. Actually, (5.2) is a particular case of a much more general inequality, known as the arithmeticgeometric mean inequality (see Theorem 5.7). For the time being, let’s see how to deduce other interesting inequalities from (5.2). Example 5.1 Given positive real numbers x and y, we have: (a) x C 1x  2, with equality if and only if x D 1. 4 (b) 1x C 1y  xCy , with equality if and only if x D y. Proof (a) Applying (5.2) with a D x and b D 1x , we get r 1 1 x C  2 x  D 2; x x with equality if and only if x D 1x , i.e., if and only if x D 1 (for, x > 0 by hypothesis).  4 (b) Since x C y > 0, we have 1x C 1y  xCy if and only if .x C y/ 1x C 1y  4 or, which is the same, if and only if xy C yx  2. In turn, this last inequality follows directly from that of item (a), with xy in the place of x. It also follows from (a) that equality holds if and only if xy D yx , i.e., if and only if x2 D y2 . However, since x; y > 0, such condition is clearly equivalent to x D y. For another proof of item (b), apply (5.2) twice and multiply the results: 

1 1 .x C y/ C x y



p  2 xy  2

s

1 1  D 4: x y

It follows directly from (5.2) that we have equality if and only if x D y.

t u

Example 5.2 Given positive real numbers x, y and z, prove that x2 C y2 C z2  xy C xz C yz;

(5.3)

with equality if and only if x D y D z. Proof Applying (5.1) three times, we get the inequalities x2 C y2 x2 C z2 y2 C z2  xy;  xz;  yz: 2 2 2 It now suffices to add these three inequalities to reach (5.3). If x D y D z, then (5.3) clearly becomes an equality. Conversely, if x ¤ y (the 2 2 cases x ¤ z and y ¤ z can be treated analogously), then x Cy > xy. Therefore, 2 an obvious generalization of item (e) of Proposition 1.2 assures that, adding the inequalities

5.1 The AM-GM Inequality

113

x2 C z2 y2 C z2 x2 C y2 > xy;  xz;  yz; 2 2 2 we get x2 C y2 C z2 > xy C xz C yz. Hence, in order to have equality in (5.3), we must have x D y D z. t u The next two examples extend (5.2) to three and four positive reals. We start with the case of four positive numbers. Example 5.3 Given positive real numbers a, b, c and d, we have aCbCcCd p 4  abcd; 4 with equality if and only if a D b D c D d. p Proof We already know that aCb  ab and 2 aCbCcCd D 4

aCb 2

C 2

cCd 2

cCd 2



(5.4)

p cd. Therefore,

p p q p p p ab C cd 4   ab cd D abcd; 2

where the last inequality above follows from yet another application of (5.2). Equality happens if and only if we have equality inpall of the inequalities p above. cCd For the first one of them, we must have aCb D ab and D cd, and, 2 p 2 p hence, a D b and c D d. For the second one, pwe must p have ab D cd; however, since a D b and c D d, this is the same as a2 D c2 , i.e., a D c. Therefore, we have equality if and only if a D b D c D d. t u The previous example raises the natural question of whether a similar inequality is true for three positive real numbers. As we have already anticipated, this is indeed the case, albeit its deduction will not be as immediate as the one just discussed (nevertheless, see Problem 11). Example 5.4 Given positive real numbers a, b and c, we have aCbCc p 3  abc; 3

(5.5)

with equality if and only if a D b D c. ProofpWe apply the inequality of Example 5.4 to the four positive reals a, b, c and d D 3 abc to get p q p p p a C b C c C 3 abc 4 4 3 3  abc abc D d3 d D d D abc: 4 p p p  3 abc. Then, a C b C c C 3 abc  4 3 abc or, which is the same, aCbCc 3

114

5 Elementary Inequalities

Fig. 5.1 Rectangular parallelepiped with dimensions x, y and z

y z x From the above computations it is clear that equality holds if and only if it also happens in the inequality aCbCcC 4

p 3 abc

q 

4

p 3 abc abc:

Therefore, it follows from Example 5.3 that equality holds if and only if a D b D p c D 3 abc, i.e., if and only if a D b D c. u t At this point, the reader is probably formulating in his/her mind a natural generalization of inequalities (5.2), (5.4) and (5.5), which we anticipated to be true. Before we formally state and prove it, let’s see an interesting application of (5.5). Example 5.5 A box (i.e., a rectangular parallelepiped1) is such that the sum of its edge lengths equals 48 cm. If the box encloses the largest possible volume, find its dimensions. Solution Figure 5.1 shows a rectangular parallelepiped with dimensions x, y and z (measured in centimeters), such that the sum of the lengths of its twelve edges equals 48 cm. Since each dimension comprises four equal and parallel edges, this is the same as saying that x C y C z D 12. It is a well known fact that the volume V of such a parallelepiped is given by the formula V D xyz. Hence, algebraically our problem reduces to the one of maximizing the product xyz, under the restrictions that x; y; z > 0 and xCyCz D 12. To this end, we apply inequality (5.5) to get  V D xyz 

xCyCz 3

3

 D

12 3

3

D 64;

thus concluding that V is at most 64 cm3 . Example 5.4 also shows that the volume equals 64 cm3 (i.e., that equality holds in the above inequality) if and only if x D y D z or, which is the same, if and only if x D y D z D 4 cm. Therefore, the box of largest possible volume is a cube with edge length equal to 4 cm. t u

1

For the elementary facts on the notion of volume of solids, we refer the reader to [4].

5.1 The AM-GM Inequality

115

Before we state the promised generalization of (5.2), (5.4) and (5.5), we need some terminology. Definition 5.6 Given n > 1 positive real numbers a1 ; a2 ; : : : ; an , we define their: (a) Arithmetic mean as the number 1n .a1 C a2 C    C an /. p (b) Geometric mean2 as the number n a1 a2 : : : an . In the context of the previous definition, what we did in (5.2) and in Examples 5.3 and 5.4 was to show that the arithmetic means of two, three or four positive reals are always greater than or equal to the respective geometric means, with equality in each case if and only if the given numbers are all equal. We establish the general case in the coming result, whose proof can be omitted in a first reading. As the title of this section suggests, inequality (5.6) below is known as the arithmetic meangeometric mean inequality. Theorem 5.7 Given n > 1 positive reals a1 ; a2 ; : : : ; an , their arithmetic mean is always greater than or equal to their geometric mean. In symbols: a1 C a2 C    C an p  n a1 a2 : : : ; an ; n

(5.6)

with equality if and only if a1 D a2 D    D an . Proof Firstly, let’s prove by induction that the desired inequality is true whenever n is a power of 2, with equality if and only if a1 D a2 D    D an . To this end, we have to verify the initial case n D 2 (which was already done along the discussion that established (5.2)), formulate the induction hypothesis (for n D 2j , say) and execute the induction step (i.e., deduce the case n D 2jC1 from the case n D 2j ). However, since 2jC1 D 2  2j , it suffices to suppose the inequality to be true for any k positive reals (with equality if and only if these k numbers are all equal) and, from this, to deduce that it is also true for any 2k positive reals (with equality if and only if these 2k positive reals are also all equal). Hence, to perform the induction step, consider 2k positive reals a1 ; a2 ; : : : ; a2k . The induction hypothesis, together with the case n D 2, give 1 0 2k k k 1 X 1 @1 X 1X aj D aj C akCj A 2k jD1 2 k jD1 k jD1  1 p p k a1 : : : ak C k akC1 : : : a2k 2 q p p  k a1 : : : ak k akC1 : : : a2k p D 2k a1 : : : ak akC1 : : : a2k : 

2

The reader maybe find it useful if we observe that the adjective geometric attached to this number comes from the case n D 2. In this case, inequality (5.2) has a simple geometric interpretation, for which we refer to the problems of Sect. 4:2 of [4].

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5 Elementary Inequalities

To have equality, we must have it in all passages above. Then, it must be that akC1 C    C a2k a1 C    C ak p p D k a1 : : : ak ; D k akC1 : : : a2k k k and p p q k a :::a C k a p p 1 k kC1 : : : a2k D k a1 : : : ak k akC1 : : : a2k : 2 For the first two equalities, it follows from the induction hypothesis that a1 D p    D ak and akC1 D    D a2k . For the third one, we must have k a1 : : : ak D p k a kC1 : : : a2k ; this last condition, together with the two former ones, implies that we must have a1 D    D ak D akC1 D    D a2k . It is also evident (verify, anyhow!) that, if the 2k positive given numbers are equal, then equality must happen. Therefore, (5.6) is true by induction, with the stated condition for equality, whenever n is a power of 2. Let’s now prove, by strong induction, that the inequality is true in general, with equality holding if and only if all of the numbers are equal. To this end, let n > 1 be natural and a1 ; a2 ; : : : ; an be given positive reals. Take k 2 N such that 2k > n, and apply the arithmetic mean-geometric mean inequality to the numbers a1 ; a2 ; : : : ; an , p together with 2k  n copies of the number a D n a1 a2 : : : an (thus, to a total of k k n C .2  n/ D 2 numbers, in which case we already know that the inequality is true). We get a1 C    C an C a C    C a  2k D

q

2k

a1 : : : an  a2k n

p p 2k an a2k n D a2k D a:

2k

Therefore, it follows that a1 C a2 C    C an C .2k  n/a  2k a and, hence, a1 C a2 C    C an p  a D n a1 a2 : : : an : n For the equality to hold, we already know that we must have a1 D a2 D    D an D a D    D a; in particular, all of the numbers a1 ; a2 ; : : : ; an must be equal. Finally, it’s immediate to see that, if all of the numbers a1 , a2 , . . . , an are equal, then equality holds. t u The following corollary generalizes item (b) of Example 5.1. For an alternative proof, see Problem 21. Corollary 5.8 Given n > 1 positive reals a1 ; a2 ; : : : ; an , we have  .a1 C a2 C    C an /

1 1 1 C CC a1 a2 an



 n2 ;

(5.7)

5.1 The AM-GM Inequality

117

with equality if and only if a1 D a2 D    D an . Proof Applying (5.6) twice, we get 

1 1 1 C CC .a1 C a2 C    C an / a1 a2 an

 

s !  p  1 1 n 1 n  n a1 a2 : : : an n   D n2 : a1 a2 an In order to have equality in (5.7), we must have equality in (5.6), and we know that this implies a1 D a2 D    D an . Conversely, it is immediate to verify that, if all of the n given numbers are equal, then we have equality in (5.7). t u Remark 5.9 The inequality (5.7) is sometimes referred to as the arithmetic meanharmonic mean inequality. This is due to the fact that it can be written as a1 C a2 C    C an  n



1=a1 C 1=a2 C    C 1=an n

1 ;

and that the right hand side above (i.e., the inverse of the arithmetic mean of the inverses of a1 , a2 , . . . , an ) is known as the harmonic mean of a1 , a2 , . . . , an . We now illustrate the use of the inequality on the arithmetic and geometric means in three examples. Example 5.10 (Israel-Hungary) Let k and n be positive integers, with n > 1. Prove that ! r 1 1 1 n k C 1 C CC >n 1 : kn kn C 1 kn C n  1 k Proof It suffices to see that n1 X jD0

 X n1  n1 X 1 1 kn C j C 1 Cn D C1 D kn C j kn C j kn C j jD0 jD0 v r un1 uY kn C j C 1 n k C 1 n Dn ; > nt kn C j k jD0

where we’ve applied the inequality on the arithmetic and geometric means once. Note that, since the numbers knCjC1 are pairwise distinct, equality never holds. u t knCj

118

5 Elementary Inequalities

Example 5.11 (APMO) If a, b and c are positive reals, prove that      a b  c aCbCc 1C 1C 1C 2 1C p : 3 b c a abc Proof Expanding the left hand side, we obtain    a b  c aCc bCc aCb 1C 1C 1C D2C C C ; b c a b a c and it suffices to prove that aCc bCc aCb 2.a C b C c/ : C C  p 3 b a c abc Letting S denote the left hand side of the last expression above, it follows from (5.6) and (5.7) that 

 1 1 1 C C 3 a b c     2 1 1 1 1 1 1 1 D .a C b C c/ C C C .a C b C c/ C C 3 3 a b c 3 a b c   2 1 3  .a C b C c/ p C 93 3 3 3 abc

S D .a C b C c/

D

2.a C b C c/ p : 3 abc

t u

Example 5.12 Gabriel has a sheet of cardboard of 2 m by 3 m. In order to assemble an open box, he cuts four equal squares from the corners of the sheet, folds it along the cuts and glues the lateral faces of the box along their common edges. If the box is to have the largest possible volume, what should be the length of the sides of the squares he cut? Justify your answer. Solution If x is the common length of the sides of the cut squares, then one must clearly have 0 < x < 1. Since the box has height x and its bottom is a rectangle of side lengths 2  2x and 3  2x, the volume Gabriel wants to maximize depends on x and equals .2  2x/.3  2x/x. One possibility for him is to try to apply the inequality between the arithmetic and geometric means to get rid of x and, then, see what the condition for equality says about the size of x. However, he cannot do this directly, for, although .2  2x/.3  2x/x 

 .2  2x/ C .3  2x/ C x 3 3

the expression at the right hand side still depends on x.

;

5.1 The AM-GM Inequality

119

Nevertheless, the following trick does the job: he starts by choosing positive reals a, b and c such that a.22x/Cb.32x/Ccx doesn’t depend on x and such that there exists at least one value of x 2 .0; 1/ for which a.2  2x/ D b.3  2x/ D cx. This amounts to finding a positive solution .a; b; c/ for the linear equation 2aC2bc D 0, such that this solution, in turn, gives equal solutions for the first degree equations 2.a  b/x D 2a  3b and .2a C c/x D 2a, which should belong to the interval .0; 1/. Hence, we should have 2a C 2b D c and

2a  3b 2a D 2 .0; 1/: 2.a  b/ 2a C c

If we succeed in finding a; b; c > 0 satisfying the given equations, we will 2a automatically have 2aCc 2 .0; 1/. To what is left to do, substitute c D 2a C 2b into 2a3b a D 2aCb or, which is the same, 2a2 2ab3b2 D 0. the second equation to get 2.ab/ a Therefore, b is a positive solution of the second degree equation 2u2  2u  3 D 0, p p so that ab D 1C2 7 . It thus suffices to choose b D 2, a D 1 C 7 and c D 2a C 2b D p 6 C 2 7. With these choices of a; b; c at hand, Gabriel can successfully implement the heuristic reasoning of the second paragraph of the proof. Writing V for the volume and recalling that 2a C 2b D c, we have abc V D a.2  2x/b.3  2x/cx  a.2  2x/ C b.3  2x/ C cx 3  3  2a C 3b 3 D : 3 Equality holds if and only if a.22x/ D b.32x/ D cx. However, we already know 2a as common solution, so that the maximal that these two equations have x D 2aCc possible volume is attained only for x D x0 D

2a 2aCc

D

p 5 7 , 6

and equals

p 1  2a C 3b 3 10 C 7 7 : D x0 .2  2x0 /.3  2x0 / D abc 3 27 t u Later, when we have the methods of Calculus at our disposal, the previous example will fall into the general framework of the analysis of the first and second variations of the function V.x/ D .2  2x/.3  2x/x; as such, it will have a straightforward solution. Nevertheless, the solution we presented above, of choosing adequate weights prior to applying the inequality between the arithmetic and geometric means, albeit quite tricky, is an instructive one for several other situations.

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5 Elementary Inequalities

Problems: Section 5.1 1. * Generalize item (a) of Example ˇ ˇ 5.1. More precisely, prove that, if x is a nonzero real number, then ˇx C 1x ˇ  2, with equality if and only if jxj D 1. 3 3 2. Given positive reals a and b, prove that ab C ba  a2 C b2 . When does equality hold? 3. Given real numbers a < b < c, prove that the equation 1 1 1 C C D0 xa xb xc has exactly two distinct real roots. 4. (Brazil) Let a, b and c be positive real numbers. Prove that p .a C b/.a C c/  2 abc.a C b C c/: 5. (USA) Prove that, for every positive real numbers a, b and c, one has a3

1 1 1 1 C 3 C 3  : 3 3 3 C b C abc b C c C abc c C a C abc abc

For the next two problems, the reader shall need some Euclidean Geometry, which we review next.3 More precisely (cf. Fig. 5.2), if a D BC, b D AC and c D AB are the lengths of the sides of a triangle ABC, then there exist x; y; z > 0 such that a D y C z, b D x C z and c D x C y. In fact, it suffices to take x, y and z as being equal to the lengths of the line segments determined on the sides of ABC by the points of tangency of its incircle. In the context of inequalities involving the lengths of the sides of a triangle, the substitution of them by y C z, x C z and x C y is frequently referred to as Ravi’s transformation. 6. (IMO) If a, b and c are the lengths of the sides of a triangle, prove that abc  .a C b  c/.b C c  a/.c C a  b/: Fig. 5.2 Ravi’s transformation

y x

A 3

B y z

I x

For a thorough discussion of the facts that follow, see Sect. 3:4 of [4], for instance.

z

C

5.1 The AM-GM Inequality

121

7. Let a, b and c be the lengths of the sides of a triangle. Prove that a b c C C  3: bCca cCab aCbc 8. (Baltic Way) Let a, b, c and d be given positive reals. Prove that aCc bCd cCa dCb C C C  4: aCb bCc cCd dCa 9. If 0 < x ¤ 1 and n is a positive integer, prove that 1  x2nC1  .2n C 1/xn : 1x 10. (England) Prove that 3a4 C b4  4a3 b, for all nonzero real numbers a and b, with equality if and only if jaj D jbj and ab > 0. 11. * Prove directly (i.e., without appealing to (5.5)) that a3 C b3 C c3  3abc. 12. (Soviet Union) Let a, b and c be positive reals. Prove that .ab C ac C bc/2  3abc.a C b C c/: 13. (Soviet Union) If x; y; z > 0, prove that z x x2 y2 z2 y C 2 C 2  C C : 2 y z x x y z 14. Let a and b be given positive reals. Prove that 9.a3 C b3 C c3 /  .a C b C c/3 : 15. Given positive reals a, b and c, prove that a4 .1 C b4 / C b4 .1 C c4 / C c4 .1 C a4 /  6a2 b2 c2 ; with equality if and only if a D b D c D 1. 16. Let a1 , a2 , . . . , an be given positive reals. Prove that a1 a2 a3 an1 an C C CC C  n: a2 a3 a4 an a1 17. Let n > 1 be an odd integer and a1 , a2 , . . . , an be negative reals. Show that a1 C a2 C    C an p  n a1 a2 : : : an ; n with equality if and only if all of the ai ’s are equal.

122

5 Elementary Inequalities

18. (BMO) Prove that, for every natural n, one has: (a) .n C 1/n  2n nŠ. (b) .n C 1/n .2n C 1/n  6n .nŠ/2 . 19. (Slovenia) Let x be a positive real number and m be a natural number. Prove that 1

1

1

x.x C 1/.x C 2/ : : : .x C m  1/  mŠ x1C 2 C 3 CC m : 20. (Poland) If x1 , x2 , . . . , xn are positive reals whose sum equals S, prove that S S S n2 ; C CC  S  x1 S  x2 S  xn n1 with equality if and only if all of the xi ’s are equal. 21. The purpose of this problem is to present an alternative proof of inequality (5.7), one that doesn’t make use of (5.6). To this end, do the following items: P  P P  ai aj n n 1 (a) Show that D n C a C i i 1 be an integer and 0 < a1 < a2 <    < an be given real numbers. Prove that 12 22 n2 n n1 n2 1 C CC  C C CC : a1 a2 an a1 a2  a1 a3  a2 an  an1 Under what conditions does equality occur? 24. (China) Given positive reals a, b and c, prove that aC

s  p p   aCbCc ab C 3 abc aCb 3  a : 3 2 3

5.2 Cauchy’s Inequality

123

5.2 Cauchy’s Inequality As a further application of the ideas of the previous section, let n > 1 be an integer and a1 , a2 , a3 , b1 , b2 , b3 be real numbers such that a21 C a22 C a23 D 1 and b21 C b22 C b23 D 1. Since x2 C y2  2jxyj for all x; y 2 R, with equality if and only if jxj D jyj, we have a21 C b21  ja1 b1 j; a22 C b22  ja2 b2 j; a23 C b23  ja3 b3 j;

(5.8)

with equality if and only if ja1 j D jb1 j, ja2 j D jb2 j and ja3 j D jb3 j. Adding the left and right hand sides of the above inequalities, we get .a21 C a22 C a23 / C .b21 C b22 C b23 / D .a21 C b21 / C .a22 C b22 / C .a23 C b23 /  2.ja1b1 j C ja2 b2 j C ja3 b3 j/  2ja1 b1 C a2 b2 C a3 b3 j; where in the last step we applied the triangle inequality for three real numbers, (2.11). Hence, it follows from a21 C a22 C a23 D 1 and b21 C b22 C b23 D 1 that ja1 b1 C a2 b2 C a3 b3 j  1: Equality holds if and only if it holds in the three inequalities (5.8), as well as in the triangle inequality. Therefore, equality holds if and only if ja1 j D jb1 j, ja2 j D jb2 j, ja3 j D jb3 j and either a1 b1 , a2 b2 , a3 b3  0 or a1 b1 , a2 b2 , a3 b3  0. However, it is immediate to check that such conditions are equivalent to a1 D b1 , a2 D b2 and a3 D b3 . Now, consider arbitrary real numbers a1 ; a2 ; a3 and b1 ; b2 ; b3 , such that at least one of a1 ; a2 ; a3 and at least one of b1 ; b2 ; b3 are nonzero. For a positive real number c, let xi D aci for 1  i  3. Since x21 C x22 C x23 D

a21 C a22 C a23 ; c2

we have x21 C x22 C x23 D 1 , c D Analogously, letting yi D

bi d

q

a21 C a22 C a23 :

for 1  i  3, with d D

q

b21 C b22 C b23 , we have

y21 C y22 C y23 D 1. Therefore, it follows from our previous discussion that

124

5 Elementary Inequalities

jx1 y1 C x2 y2 C x3 y3 j  1; with equality if and only if xi D yi for 1  i  3. Substituting the definitions of xi and yi in the above inequality and recalling that c; d > 0, we conclude that the last inequality above is equivalent to ja1 b1 C a2 b2 C a3 b3 j  1; cd q q with c D a21 C a22 C a23 and d D b21 C b22 C b23 . Moreover, equality holds if and only if ai D dc bi for 1  i  3. Finally, note that the last inequality above is equivalent to ja1 b1 C a2 b2 C a3 b3 j  cd D

q

q a21 C a22 C a23 b21 C b22 C b23 :

Up to this point, what we have done was to establish, for n D 3, the famous Cauchy’s inequality.4 We now turn to the general case. Theorem 5.13 (Cauchy) Let n > 1 be an integer and a1 , a2 , . . . , an , b1 , b2 , . . . , bn given real numbers. Then, ˇ ˇ v v ˇ n ˇ u n u n ˇX ˇ uX 2 uX ˇ ˇ t t  a b a  b2j ; j jˇ j ˇ ˇ jD1 ˇ jD1 jD1

(5.9)

with equality if and only if the ai ’s and bi ’s are respectively proportional, i.e., if and only if there exists a nonzero real number  such that a1 D b1 ; a2 D b2 ; : : : ; an D bn : Proof If all of the ai ’s or all of the bi ’s are equal to zero, there is nothing to do. Otherwise, in order to establish (5.9), it suffices to follow the steps of the particular case n D 3 discussed above. The only difference is that, whenever convenient, we have to use (4.6) instead of (2.11) (see Problem 2, page 127). t u Later (see Example 6.18), we shall give another proof of Cauchy’s inequality as an application of the theory of maxima and minima of quadratic functions. For a geometric interpretation of Cauchy’s inequality for n D 2, see the problems of Sect. 6:3 of [4]. The coming two examples illustrate how one can apply Cauchy’s inequality.

4

Augustin Louis Cauchy, one of the greatest mathematicians of the XIX century, and maybe of History. Cauchy was one of the precursors of Mathematical Analysis, an extremely important area of higher Mathematics. He also has his name attached to several important results in Differential Equations and Mathematical Physics.

5.2 Cauchy’s Inequality

125

Example 5.14 Let a, b and c be given real numbers. Show that the system of equations 

3.x2 C y2 C z2 / C a2 C b2 C c2 D 6 ax C by C cz D 2

doesn’t have any real solutions x; y; z. Proof By contradiction, if there existed a real solution x; y; z, we would have, by Cauchy’s inequality, 4 D .ax C by C cz/2  .a2 C b2 C c2 /.x2 C y2 C z2 /: Thus, letting u D a2 C b2 C c2 and v D x2 C y2 C z2 , we would have u C 3v D 6 and uv  4. At this point, the inequality on the arithmetic and geometric means would give us p p p p 6 D u C 3v  2 u  3v D 2 3uv D 2 3  4 D 4 3; t u

which is an absurd.

Example 5.15 (Romania) Let x1 ; x2 ; : : :, xnC1 be positive reals satisfying x1 C x2 C    C xn D xnC1 . Prove that p p x1 .xnC1  x1 / C    C xn .xnC1  xn /  

p xnC1 .xnC1  x1 / C    C xnC1 .xnC1  xn /:

Proof For 1  j  n, let yj D xnC1  xj . By Cauchy’s inequality, we have p p p p x1 y1 C    C xn yn  x1 C    C xn y1 C    C yn p p D xnC1 .xnC1  x1 / C    C .xnC1  xn /: t u For future use, we collect the following corollary of Cauchy’s inequality. Corollary 5.16 Given real numbers a1 ; : : : ; an and b1 ; : : : ; bn , we have v v v uX u n uX u n 2 uX u n t .aj C bj /2  t aj C t b2j ; jD1

jD1

(5.10)

jD1

with equality holding if and only if a1 , . . . , an and b1 , . . . , bn are positively proportional, i.e., if and only if there exists a positive real number  such that ai D bi for 1  i  n.

126

5 Elementary Inequalities

Proof For the sake of clarity, let’s prove the corollary for n D 3, the general case being totally analogous. Since both sides of (5.10) are nonnegative real numbers, it suffices to show that the square of the left hand side is less than or equal to the square of the right hand side. In symbols, 2

2

2

.a1 C b1 / C .a2 C b2 / C .a3 C b3 / 

q

a21

C

a22

C

a23

C

q

b21

C

b22

C

b23

2

:

Expanding .ai C bi /2 , it follows that the square of the left hand side equals .a21 C 2a1 b1 C b21 / C .a22 C 2a2 b2 C b22 / C .a23 C 2a3 b3 C b23 /: Analogously, the square of the right hand side equals q q .a21 C a22 C a23 / C 2 a21 C a22 C a23 b21 C b22 C b23 C .b21 C b22 C b23 /: Cancelling the summand .a21 C a22 C a23 / C .b21 C b22 C b23 / from both sides, we conclude that (5.10) is equivalent to q q 2.a1 b1 C a2 b2 C a3 b3 /  2 a21 C a22 C a23 b21 C b22 C b23 ; which is precisely Cauchy’s inequality. The analysis of the conditions for equality will be left as an exercise to the reader. t u As will be seen in Chaps. 8 and 13 of [4], for n D 2 and 3 inequality (5.10) has the following geometric interpretation: in a cartesian coordinate system, if O D .0; : : : ; 0/, A D .a1 ; : : : ; an / and B D .b1 ; : : : ; bn /, and we set C D A C B, then C D .a1 C b1 ; : : : ; an C bn / and (5.10) amounts to the inequality OC  OA C OB; where XY stands for the length of the line segment XY. This is the same as the (geometric) triangle inequality for the (possibly degenerated) triangle OAC, and for this reason (5.10) is also known as the triangle inequality. p Note also that, p if npD 1 and we make a1 D a and b1 D b, then (5.10) reduces to .a C b/2  a2 C b2 or, which is the same, jaCbj  jajCjbj. This is the reason why (5.10), as well as its generalization (4.6), are known as triangle inequality.

5.2 Cauchy’s Inequality

127

Problems: Section 5.2 1. Given real numbers x and y such that 3x C 4y D 12, compute the minimum possible value of x2 C y2 . 2. Prove the general case (5.9) of Cauchy’s inequality. 3. Given positive reals a1 , a2 , . . . , an , we define its quadratic mean as the number s a21 C a22 C    C a2n : n Prove the inequality between the quadratic and arithmetic means: s

a1 C a2 C    C an a21 C a22 C    C a2n  ; n n

(5.11)

with equality if and only if a1 D a2 D    D an . 4. (IMO shortlist) Let a1 , a2 , a3 , a4 be positive reals. Prove that X

a2i C a2j C a2k

1i 0, apply Cauchy’s inequality to prove that z x x2 y2 z2 y C C  C C ; y2 z2 x2 x y z with equality if and only if x D y D z.

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5 Elementary Inequalities

10. (APMO) Let a1 , a2 , . . . , an and b1 , b2 , . . . , bn be given positive reals, such that a1 C a2 C    C an D b1 C b2 C    C bn . Show that n X kD1

a2k 1X  ak : ak C bk 2 kD1 n

11. (TT) Let a1 , a2 , . . . , an be given positive reals. Prove that      a2 a2 a2 1C 1 1 C 2 : : : 1 C n  .1 C a1 /.1 C a2 / : : : .1 C an /: a2 a3 a1 12. (APMO) Let a, b and c be the lengths of the sides of a triangle. Show that p

aCbcC

p p p p p bCcaC cCab  aC bC c

and explain when equality occurs. 13. Let a1 , a2 , . . . , an , b1 , b2 , . . . , bn and c1 , c2 , . . . , cn be given positive real numbers. Show that n 1 X a k b k ck n kD1

!4 

n X kD1

! a4k

n X kD1

! b4k

n X

! c4k

:

kD1

14. (IMO) Let a, b and c be positive reals such that abc D 1. Prove that 1 1 3 1 C 3 C 3  : C c/ b .a C c/ c .a C b/ 2

a3 .b

5.3 More on Inequalities This section is devoted to the study of other important elementary inequalities. The first of them is generally attributed to the Bernoulli brothers,5 being known as Bernoulli’s inequality. In spite of its simplicity, we will see that it is quite useful in applications. Proposition 5.17 (Bernoulli) If n is a natural number and x > 1 is a real number, then .1 C x/n  1 C nx; with equality holding for n > 1 if and only if x D 0. 5

Jacob and Johann Bernoulli, Swiss mathematicians of the XVIII century.

5.3 More on Inequalities

129

Proof Let’s make induction on n, the case n D 1 being immediate. Suppose, by induction hypothesis, that .1 C x/k  1 C kx; since 1 C x > 0, we have .1 C x/kC1 D .1 C x/.1 C x/k  .1 C x/.1 C kx/ D 1 C .k C 1/x C kx2  1 C .k C 1/x; with equality if and only if .1 C x/k D 1 C kx and kx2 D 0, i.e., if and only if x D 0. t u Example 5.18 Given a natural number n and positive reals a and b, show that 

  b n a n C 1C  2nC1 ; 1C b a

with equality if and only if a D b. Proof Dividing both sides of the inequality by 2n , we see that it suffices to prove that     a n b n 1 1 1 C C 1 C  2: 2 2b 2 2a a b > 1 and  12 C 2a > 1, if we apply Bernoulli’s inequality to both Since  12 C 2b summands at the left hand side above and add the results, we get

      1 a n b n b 1 a 1 C C 1 : C 1 C  2Cn 2 2b 2 2a 2b 2a Now, it suffices to apply the inequality between the arithmetic and geometric means to obtain r a b a b C 12   1 D 0; 2b 2a 2b 2a with equality if and only if

a 2b

D

b , 2a

i.e., if and only if a D b.

t u

We continue by presenting an inequality known in the literature as Chebyshev’s inequality.6 Theorem 5.19 (Chebyshev) If a1 , a2 , . . . , an and b1 , b2 , . . . , bn are real numbers such that a1  a2      an and b1  b2      bn ;

6

After Pafnuty Chebyshev, Russian mathematician of the XIX century.

130

5 Elementary Inequalities

then 1X ai n iD1 n

!

1X bi n iD1 n

!

1X ai bi ; n iD1 n



with equality holding if and only if a1 D a2 D    D an ou b1 D b2 D    D bn . Proof We have to show that n

n X

ai bi 

iD1

n X

! ai

iD1

n X

! bi

 0;

iD1

and for this it suffices to observe that the expression at the left hand side equals n X

.ai  aj /.bi  bj /;

(5.12)

i;jD1

which, in turn, is nonnegative (for, the ai ’s and bi ’s are equally ordered). Now, if a1 D a2 D    D an or b1 D b2 D    D bn , it is immediate to check that equality holds in Chebyshev’s inequality. Conversely, suppose that equality holds in such an inequality. Then, the argument of the previous paragraph assures that the expression in (5.12) must be equal to zero. Since .ai  aj /.bi  bj /  0 for all indices 1  i; j  n, we must have .ai  aj /.bi  bj / D 0 for all 1  i; j  n. If there exists 1  k  n such that bk < bkC1 , then b1      bk < bkC1      bn , and the condition .ai akC1 /.bi bkC1 / D 0 for every 1  i  n gives ai D akC1 for 1  i  k. Hence, a1 D a2 D    D ak D akC1 . If we now start from .ai  ak /.bi  bk / D 0 for k < i  n, we conclude in a similar way that akC1 D    D an . Therefore, all of the ai ’s must be equal. t u The following corollary collects an important consequence of Chebyshev’s inequality. Corollary 5.20 If k is a natural number and a1 , a2 , . . . , an are positive reals, then ak1 C ak2 C    C akn  n



a1 C a2 C    C an n

k :

(5.13)

Moreover, if k > 1, then equality holds if and only if all of the ai ’s are equal. Proof Let’s prove the inequality by induction on k  1, noting that (5.13) is trivially true for k D 1 and all positive reals a1 , . . . , an . By induction hypothesis, let l > 1 be a natural number such that (5.13) is true for k D l  1 and all positive reals a1 , a2 , . . . , an . Since both sides of the inequality we wish to prove are invariant under permutations of the indices 1, 2, . . . , n, we can suppose, without any loss of generality,

5.3 More on Inequalities

131

that a1  a2      an . Then, a1l1  a2l1      anl1 , and it follows from Chebyshev’ inequality that 1X l a  n iD1 i n

1X ai n iD1 n

!

! n 1 X l1 : a n iD1 i

(5.14)

On the other hand, induction hypothesis gives 1 X l1 a  n iD1 i n

1X ai n iD1 n

!l1 ;

(5.15)

and if we combine these two inequalities we get 1X l a  n iD1 i n

1X ai n iD1 n

!

1X ai n iD1 n

!l1

1X ai n iD1 n

D

!l :

Finally, let l > 1 and suppose we have equality in (5.13) when k D l. Then, the argument of the previous paragraph assures that we must have equality in (5.14) and (5.15). However, by the condition for equality in Chebyshev’s inequality, the only way to have equality in (5.14) is having a1 D    D an . t u The two coming examples illustrate how one can apply Chebyshev’s inequality. Example 5.21 (Poland) Let a1 ; a2 ; : : : ; an be positive reals with sum equal to s. Prove that a1 a2 an n : C CC  s  a1 s  a2 s  an n1 Proof Suppose, without loss of generality, that a1  a2      an . Then, s  a1  s  a2      s  an and, since s  ai > 0 for every i, it follows that 1 1 1  sa      sa . Therefore, Chebyshev’s inequality gives sa1 2 n n X iD1

! n !  n  n X X 1 1 X ai 1 ai   D ai s  ai s  ai n iD1 s  ai iD1 iD1 ! n s X 1 D : n iD1 s  ai

On the other hand, it follows from Corollary 5.8 that n X .s  ai / iD1

!

n X iD1

1 s  ai

!  n2 :

(5.16)

132

However, since

5 Elementary Inequalities

Pn

iD1 .s

 ai / D .n  1/s, this last inequality yields n X iD1

n2 1 :  s  ai .n  1/s

(5.17)

If we now combine (5.16) and (5.17), we arrive at the desired inequality.

t u

Example 5.22 (Turkey) Let n > 1 be a natural number and x1 ; x2 ; : : : ; xn be positive P reals such that niD1 x2i D 1. Find the least possible value of n X iD1

x5i ; x1 C    Cb xi C    C xn

where the hat over xi at the denominator of the i-th summand indicates that it contains all of x1 ; x2 ; : : : ; xn , except xi . Proof Let s denote the sum of the xi ’s and suppose, without loss of generality, that 1 1 1 x1  x2      xn . Then, x21  x22      x2n and sx  sx      sx . 1 2 n The expression to be minimized can be written as SD

n X iD1

1  x5 : s  xi i

Hence, if we apply Chebyshev’s inequality twice, together with the inequality between the arithmetic and quadratic means (cf. Problem 3, page 127) and Corollary 5.8, we get n 1 X 1 S  n iD1 s  xi

1  2 n 1  3 n s  3 n D

n X iD1 n X iD1 n X iD1

!

1 s  xi 1 s  xi 1 s  xi

!

!

!

n X

! x5i

iD1 n X

! xi

iD1 n X

! xi

iD1

n X

! x4i

iD1 n X

!2 x2i

iD1

n X s  3  n2 .s  xi / n iD1

1 1 s  D 2 : n n.n  1/s n .n  1/

!1

5.3 More on Inequalities

133

1 In order to guarantee that n2 .n1/ is the least possible value, we ought to show that attained. To this end, it is enough to see that, in view of the constraint Pn it is 2 iD1 xi D 1, the condition for equality in Chebyshev’ inequality gives x1 D x2 D    D xn D p1n if equality holds. However, computing with these values for x1 ,

. . . , xn , we see that all of the inequalities above become equalities, so that indeed, the least possible value.

1 n2 .n1/

is, t u

Next, we present an inequality known as the rearrangement inequality. We recall that a sequence .x1 ; x2 ; : : : ; xn / is a permutation or a rearrangement of .a1 ; a2 ; : : : ; an / if these two sequences differ only by the order of their terms.7 Proposition 5.23 Let a1 < a2 <    < an be given positive real numbers. If .x1 ; x2 ; : : : ; xn / is any permutation of .a1 ; a2 ; : : : ; an /, then n1 X

ai ani 

iD1

n1 X iD1

a i xi 

n1 X

a2i ;

iD1

with equality in the left (resp. right) inequality above if and only if xi D ani (resp. xi D ai ), for 1  i  n. Proof Let us show how to maximize the sum a1 x1 Ca2 x2 C  Can xn . (The argument to minimize it is completely analogous.) Since the number of permutations8 .x1 ; x2 ; : : : ; xn / of .a1 ; a2 ; : : : ; an / is finite, there is at least one of them which maximizes the sum a1 x1 C a2 x2 C    C an xn . If .b1 ; b2 ; : : : ; bn / is such a permutation, we want to show that bi D ai for 1  i  n. To this end, it suffices to show that b1 < b2 <    < bn . By contradiction, suppose that there exist indices 1  i < j  n for which bi > bj . Define a permutation .b01 ; b02 ; : : : ; b0n / of the ai ’s by setting 8 < bk ; se k ¤ i; j b0k D bi ; se k D j : : bj ; se k D i Then, n X iD1

ai b0i 

n X

ai bi D .ai b0i C aj b0j /  .ai bi C aj bj /

iD1

D .ai bj C aj bi /  .ai bi C aj bj / D .ai  aj /.bj  bi / > 0:

In the more precise language of functions (cf. Chap. 6), we say that .x1 ; x2 ; : : : ; xn / is a permutation of .a1 ; a2 ; : : : ; an / if there is a bijection ' W f1; : : : ; ng ! f1; : : : ; ng, so that xi D a'.i/ , for 1  i  n. 8 Actually, it is easy to show that there are exactly nŠ such permutations. For a proof, see [5], or provide one yourself, by making an induction argument. 7

134

5 Elementary Inequalities

This is the same as a1 b01 C a2 b02 C    C an b0n > a1 b1 C a2 b2 C    C an bn ; which, in turn, contradicts the fact that .b1 ; b2 ; : : : ; bn / is a permutation of .a1 ; a2 ; : : : ; an / that maximizes the sum a1 x1 C a2 x2 C    C an xn . Therefore, b1 < b2 <    < bn . t u With essentially the same argument as above, one can easily extend the rearrangement inequality to the case in which a1  a2      an . In this case, if .x1 ; x2 ; : : : ; xn / is any permutation of .a1 ; a2 ; : : : ; an /, then n1 X

ai ani 

iD1

n1 X iD1

a i xi 

n1 X

a2i ;

iD1

with equality in the left (resp. right) inequality above if (and no more if, and only if ) xi D ani (resp. xi D ai ), for 1  i  n. The coming example explores this more general form of the rearrangement inequality. Example 5.24 Given positive reals a, b and c, show that: (a) a3 C b3 C c3  a2 b C b2 c C c2 a. 1 1 1 (b) aCbCc abc  a2 C b2 C c2 . Proof (a) Suppose, without loss of generality, that a  b  c. (Other orderings of a, b and c would give rise to analogous arguments.) A direct application of the rearrangement inequality gives a3 C b3 C c3 D a2  a C b2  b C c2  c  a2  b C b2  c C c2  a: (b) The symmetry of both sides with respect to a, b and c allows us to suppose again that a  b  c. The inequality to be proved is equivalent to a2 bc C ab2 c C abc2  .ab/2 C .bc/2 C .ca/2 : In order to get this, let’s first observe that the condition 0 < a  b  c implies ab  ac  bc. Therefore, upon applying the general form of the rearrangement inequality, we obtain a2 bc C ab2 c C abc2 D ab  ac C ab  bc C ac  bc  .ab/2 C .bc/2 C .ca/2 : t u

5.3 More on Inequalities

135

A very useful idea in certain types of problems involving inequalities is to try to use arguments similar to the one of the proof of the rearrangement inequality. Let’s see an example along these lines. Example 5.25 (Taiwan) Let n > 2 be an integer. Compute the greatest possible value of the expression X

xi xj .xi C xj /;

1i an > 0, b1 C    C bi  0 and xxi y i yi Applying Abel’s inequality to (5.20), we obtain n n X 1 X1   an  minfb1 C    C bi I 1  i  ng  0: y x iD1 i iD1 i

(b) Suppose, without loss of generality, that a1 < a2 <    < an , and let Bk D fa1 ; : : : ; ak g for 1  k  n. The hypothesis on the set A assures that all of the 2k  1 nonempty subsets of Bk have distinct sums of elements. However, since each of these sums is a natural number and a1 C    C ak is the greatest of them, we conclude that a1 C    C ak  2k  1: Now, observing that 2k  1 D 20 C 21 C    C 2k1 , we have a1 C a2 C    C ak  20 C 21 C    C 2k1 for 1  k  n. On the other hand, it is obvious that 20 a1 < 21 a2 <    < 2n1 an ;

5.3 More on Inequalities

139

so that the inequality of item (a) gives 1 1 1 1 1 1 C CC  0 C 1 C    C n1 < 2: a1 a2 an 2 2 2 t u For another proof of item (b) of the previous example, see Chap. 3 of [5].

Problems: Section 5.3 n   1. Given n 2 N, prove that 1 C 1n < 1 C 2. (USA) Given naturals m and n, let a D



1 nC1 . nC1 mmC1 CnnC1 . Prove mm Cnn

that

a m C a n  mm C n n : 3. Let a, b and c be positive reals. Prove that 1 1 a 8 C b 8 C c8 1 C C  : a b c a 3 b 3 c3 4. (OIM) Find all real positive solutions of the system of equations 

x1 C x2 C    C x1994 D 1994 : x41 C x42 C    C x41994 D x31 C x32 C    C x31994

5. (IMO shortlist) Let a1 , a2 , a3 , a4 be positive reals. Prove that X

a3i C a3j C a3k

1i 1 be an integer and x1 , x2 , . . . , xn be given positive reals whose sum is equal to 1. Prove that n X iD1

xi p  1  xi

r

Xp 1 n  p xi : n1 n  1 iD1 n

11. (Slovenia) Given 2n positive reals a1 , a2 , . . . , a2n , how should we arrange them in pairs, such that the sum of the n products of the numbers of each pair is maximal? 12. (IMO) Let .ak /k1 be a sequence of pairwise distinct positive integers. Prove that, for every n 2 N, we have n X ak kD1

k2



n X 1 kD1

k

:

13. Do the following items: (a) If x < y are given positive reals and a D xCy 2 , prove that a.x C y  a/  xy. (b) Use item (a) to furnish another proof for the inequality between the arithmetic and geometric means. 14. (TT) Let a1 ; a2 ; : : : ; an be given positive reals. Prove that      Y n a2 a2 a2 1C 1 1 C 2 ::: 1 C n  .1 C ak /: a2 a3 a1 kD1 15. (Taiwan) Let n  3 be an integer and x1 , x2 , . . . , xn be nonnegative reals whose sum equals 1. Prove that x21 x2 C x22 x3 C x23 x4 C    C x2n x1 

4 : 27

5.3 More on Inequalities

141

16. If a, b, c and d are nonnegative reals such that a  1, a C b  5, a C b C c  14 and a C b C c C d  30, use Abel’s inequality to prove that p p p p a C b C c C d  10: 17. Let a1 , . . . , an and b1 , . . . , bn be real numbers such that a1  a2      an > 0 and b1  a1 , b1 b2  a1 a2 , . . . , b1 b2 : : : bn  a1 a2 : : : an . Show that b1 C b2 C    C bn  a1 C a2 C    C an :

Chapter 6

The Concept of Function

With the algebraic background of the previous chapters at our disposal, we now begin the study of real functions of a single variable. After presenting the basic concepts of domain, codomain and image, some relevant examples of functions are given. Then, we introduce the notions of monotonicity and extremal values, discussing various examples that, in spite of their elementary character, will reveal themselves to be very useful. The chapter continues with the study of the operations of composition and inversion of functions, and culminates with the orchestration of the whole of it to a first study of implicitly defined functions. We end the chapter by discussing, in its last two sections, graphs of elementary functions.

6.1 Definitions and Examples Let X and Y be two given nonempty sets. Informally, a function f from X to Y is a rule that associates to each x 2 X a unique y 2 Y. It is sometimes useful to visualize a function f W X ! Y in a more concrete way, by means of diagrams as that of Fig. 6.1, where each arrow indicates which element y 2 Y is associated to a given x 2 X. We write f W X ! Y to denote that f is a function from X to Y. In this case, the element y 2 Y associated to x 2 X via f is denoted by y D f .x/, and is called the image of x 2 X by f . In the example of Fig. 6.1, we have X D f1; 2; 3g, Y D fa; b; c; dg and f .1/ D a, f .2/ D a, f .3/ D c. Thus, a is the image of 1 and 2 by f , and c is the image of 3 by f . The discussion of the previous paragraph makes it clear that the definition of function allows, in the corresponding diagram, that one or more elements of Y do not receive arrows, or that one or more elements of Y receive more than one arrow (observe that both these possibilities are present in Fig. 6.1).

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_6

143

144

6 The Concept of Function

Fig. 6.1 Example of a function f from X to Y

X

Y f

1

a

2

c

3

d

b

Fig. 6.2 No arrow starts at 12X

X

Y

a

1

b 2

c

3

d

Fig. 6.3 More than one arrow starts at 1 2 X

X

Y

1

a

2

c

3

d

b

Note, however, that the diagrams in Fig. 6.2 and 6.3 do not correspond to functions. The situation of Fig. 6.2 is forbidden because there is no arrow departing from 1 2 X. The situation of Fig. 6.3 is forbidden because more than one arrows departs from 1 2 X. The next three definitions isolate some quite useful types of functions. Definition 6.1 Let X and Y be given nonempty sets. For a fixed element c 2 Y, the constant function c from X to Y is the function f W X ! Y such that f .x/ D c for every x 2 X.

6.1 Definitions and Examples

145

Thus, in the extreme case of the constant function equal to c, defined as above, every x 2 X is associated to a single y 2 Y, namely, y D c. Nevertheless, the conditions required by the “definition” of function are fully satisfied, i.e., every x 2 X is associated to a unique y 2 Y. Definition 6.2 Let X be a given nonempty set. The identity function of X is the function IdX W X ! X, such that IdX .x/ D x, for every x 2 X. As in the previous definition, it is immediate to see that the conditions required by the “definition” of function are satisfied, so that IdX is indeed a function from X to itself. For the next definition, given an arbitrary n 2 N, we let In be the set whose elements are the first n natural numbers, i.e., I1 D f1g, I2 D f1; 2g, I3 D f1; 2; 3g and, more generally, In D fk 2 NI 1  k  ng: Definition 6.3 An infinite sequence of real numbers is a function f W N ! R. A finite sequence of real numbers is a function f W In ! R, for some n 2 N. As was anticipated in Chapter 3, given a sequence f W N ! R (resp. f W In ! R) and k 2 N (resp. k 2 In ), one uses to write ak , instead of f .k/, to denote the image of k by f . In this case, one also writes .ak /k1 (resp. .ak /1kn ) to denote the sequence as a whole, and says that ak is its k –th term. From a mathematically rigorous viewpoint, a function is a particular type of relation, according to Definition 6.4 below. In order to state it properly, we begin by recalling two simple facts from elementary set theory1. Given nonempty sets X and Y, and elements x 2 X and y 2 Y, the ordered pair .x; y/ is defined by .x; y/ D ffxg; fx; ygg: From this, it is immediate to prove that, if x; x0 2 X and y; y0 2 Y, then .x; y/ D .x0 ; y0 / , x D x0 and y D y0 : The cartesian product of X and Y (in this order), denoted X Y, is the set X Y D f.x; y/I x 2 X and y 2 Yg: Definition 6.4 Given nonempty sets X and Y, a relation from X to Y (or between X and Y, in this order) is a subset R of the cartesian product X Y, i.e., R is a set of ordered pairs .x; y/, with x 2 X and y 2 Y. If R is a relation from X to X, we simply say that R is a relation on X. 1

For a more thorough account of set theory, we refer the reader to the classic [15].

146

6 The Concept of Function

Example 6.5 Let X D f1; 2; 3g and Y D f2; 3; 4; 5g. The set R D f.x; y/ 2 X YI x  yg is a relation from X to Y, given by R D f.2; 2/; .3; 2/; .3; 3/g. Indeed, these are the only ordered pairs .x; y/, with x 2 f1; 2; 3g, y 2 f2; 3; 4; 5g and such that x  y. The example above illustrates an obvious procedure we can use to define a specific relation R between given nonempty sets X and Y (in this order): it suffices to declare, somehow, a subset of the cartesian product X Y; those ordered pairs of X Y that satisfy the given prescription will be precisely the elements of R. If R is a relation from X to Y, then R  X Y, by definition. Conversely, once we choose an ordered pair .x; y/ 2 X Y, then either .x; y/ 2 R or .x; y/ … R. In the former case, we say that x and y are related by R, and write x R y; in the latter case, we say that x and y are not related by R, and write x R y. Thus, in symbols, x R y , .x; y/ 2 R:

(6.1)

Therefore, with respect to the relation of Example 6.5, we have 3 R 2 but 2 R 3, since 2  3 is false. Among all types of relations we can consider, one of the most important ones is given by the coming definition. Definition 6.6 Given nonempty sets X and Y, a relation R from X to Y is a function if the following condition is satisfied: 8 x 2 X; 9 a unique y 2 YI x R y: As in the beginning of this section, given nonempty sets X and Y, it is customary to use smallcase latin letters like f , g, h etc to denote functions from X to Y. Also as before, we write f W X ! Y if f is such a function, and write f .x/ D y if the ordered pair .x; y/ 2 X Y belongs to f , i.e., if it is such that x f y. Notice that such a notation makes sense, for the definition of function assures that, if .x; y1 / and .x; y2 / are ordered pairs in X Y such that x f y1 and x f y2 , then y1 D y2 . On the other hand, a moment’s thought shows that the formal definition of function given above is simply the correct way of validating the informal definition given at the beginning of this section. We will usually work with functions f W X ! Y such that X; Y  R. In these cases, we will generally indicate which element f .x/ 2 Y is associated to a generic element x 2 X by means of a formula in x that ought to be seen as a rule to get f .x/ out of x. For instance, we can say “consider the function f W R ! R given by f .x/ D x2 ” to mean that the function f associates, to each x 2 R, its square x2 . Observe that the defining requisites of a function are fulfilled, for, to each x 2 R, 2 we have associated a single yet with respect to p f .x/ 2 pR,2 namely, x . In particular, this example, we have f . 2/ D . 2/ D 2, f .3/ D 32 D 9 etc.

6.1 Definitions and Examples

147

When X; Y  R and f W X ! Y is a function such that the element f .x/ 2 Y associated to x 2 X is given by a formula in x, we will sometimes denote such a correspondence by writing f W X ! Y : x 7! f .x/ This way, the function of the previous paragraph, that associates to each x 2 R its square x2 , could have been denoted in the following manner: f W R ! R : x 7! x2 Let’s see another example. Example 6.7 Consider the function f W Q ! R, given by f .x/ D

p x2 C 1; if x  0 : x C 1; if x > 0

We surely have defined a function, for the expressions that define f .x/ have sense in R and, although we must apply different formulas, according to the rational x satisfies x  0 or x > 0,peach rational x p has a single, well defined image f .x/. Thus, for example, f .1/ D .1/2 C 1 D 2 (since 1  0), but f .2/ D 2 C 1 D 3 (since 2 > 0). Observe that we could have defined f .x/ by writing p x2 C 1; if x  0 f .x/ D : x C 1; if x  0 If that were the case, then, albeit conditions x  0 and x  0 cover all rationals, they wouldn’t be mutually exclusive: x D 0 would satisfy both. However, the formulas that should p be applied in one case or the other would give the same result for x D 0 (since 02 C 1 D 0 C 1), thus avoiding any possibility of inconsistence. We sometimes say that a function f like that of the previous example is defined by parts. This expression alludes to the fact that there is a formula to compute f .x/ when x 2 .1; 0, and another one to compute it when x 2 .0; C1/ (or x 2 Œ0; C1/, as one may wish). When dealing with a function f W X ! Y, it’s frequently useful to refer to the sets X and Y as the domain and codomain of the function, respectively; in this context, we will write X D Dom .f /. For instance, for the function f of Example 6.7, the domain and codomain are, respectively, Q and R. We will often work with functions f W X ! R, with X  R. In cases like these, we shall say that f is a real function (alluding to the fact that it assumes real

148

6 The Concept of Function

values – i.e., that its codomain is R) of a real variable (now alluding to the fact that a generic element x of the domain X of f – the variable of the function – is a real number). In cases like those of the previous paragraph, if f .x/ is defined by a formula on x, then, unless explicitly stated otherwise, we will stick to the usage of taking X as the largest possible domain. In other words, in such cases we will take X to be the largest possible subset of R in which the mathematical operations that define the expression f .x/ have sense. We shall, then, say that X is the maximal domain of definition, or simply the maximal domain of f . Example 6.8 Find the maximal domain of definition X  R of the function f W X ! 1 R, given by f .x/ D px.x1/ . 1 Solution For px.x1/ to be a real number, it’s necessary and sufficient that x.x  1/ be positive. Thus, n o 1 X D x 2 RI p 2R x.x  1/

D fx 2 RI x.x  1/ > 0g: A product of two real numbers is positive only if both factors have the same sign. Therefore, we must have x > 0 and x  1 > 0, or else x < 0 and x  1 < 0. Hence, we must have x > 1 or x < 0, so that X D .1; 0/ [ .1; C1/:

t u

In the context of real functions of a real variable, there are standard ways of building new functions out of other known ones: we just have to use the arithmetic operations of their codomain R. More precisely, given a nonempty set X  R, a real number c and functions f ; g W X ! R (with the same domain!), we define the functions f C g; f  g; c  f W X ! R by setting .f C g/.x/ D f .x/ C g.x/; .f  g/.x/ D f .x/  g.x/; .c  f /.x/ D c  f .x/; for every x 2 X. Some remarks are in order. First of all, notice that the addition signs in the first equality above have distinct meanings: in the left hand side, the C sign is used in the very definition of the function f C g, while in the right hand side f .x/ C g.x/ stands for the usual addition of the real numbers f .x/ and g.x/. Analogous remarks are valid for the multiplication signs used in the definitions of the functions f  g and c  f . Secondly, as is usual with real numbers, we shall generally omit multiplication signs, writing fg and cf instead of f  g and c  f . This usage will not be source of any kind of confusion.

6.1 Definitions and Examples

149

It is evident that f C g, fg and cf are indeed functions from X to R. On the other hand, by analogy with real numbers, f Cg and fg are called the sum and the product of f and g, respectively. Also, note that the product cf of the real number c by the function f can be seen as a particular case of the product of two functions: taking g W X ! R to be the function identically equal to c, we have fg D cf ; yet for such a g, we shall denote f C g simply by f C c, so that .f C c/.x/ D f .x/ C c; for every x 2 X. Example 6.9 Let f and g be functions from R to R given by f .x/ D g.x/ D x C 3, for every x 2 R. Then, .f C g/.x/ D f .x/ C g.x/ D D

x2

x x2 C1

and

x C .x C 3/ C1

x C .x2 C 1/.x C 3/ x3 C 3x2 C 3 D ; 2 x C1 x2 C 1

.fg/.x/ D f .x/g.x/ D

x x2 C 3x  .x C 3/ D x2 C 1 x2 C 1

and p p p . 3f /.x/ D 3f .x/ D 3 

p x 3 x D 2 : x2 C 1 x C1

We leave to the reader the task of verifying that the operations of addition and multiplication of functions, defined as above, satisfy properties analogous to those satisfied by the corresponding operations with real numbers. More precisely, for functions f ; g; h W X ! R and real numbers a, b, we have: • Commutativity: f C g D g C f ; fg D gf . • Associativity: f C .g C h/ D .f C g/ C h; f .gh/ D .fg/h; a.bf / D .ab/f . • Distributivity: f .g C h/ D fg C fh; .a C b/f D af C bf . Finally, note that the associativity property of the operations of addition and multiplication of two functions allows us to define, in entirely analogous ways, the sum and the product of an arbitrary finite number of functions from X to R. For example, given functions f ; g; h W X ! R, we define f C g C h W X ! R as either .f C g/ C h or f C .g C h/, since these are equal functions; analogously, fgh W X ! R can be defined as either .fg/h or f .gh/. For an additional extension of the discussion of operations on functions, we refer the reader to Problem 8. Turning our attention to the codomain of a general function f W X ! Y, it’s important for the reader to realize that Y doesn’t generally coincide with the set of the images of the elements of X (which, anyhow, is a subset of Y). Let’s illustrate this

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6 The Concept of Function

point using again the function f of Example 6.7. We have already observed that its codomain is the set R of real numbers. On the other hand, it’s certain that its subset ff .x/I x 2 Qg doesn’t contain real numbers less than 1. Indeed, since x2 C 1  1 for any real x, we have f .x/ D

p p x2 C 1  1 D 1;

whenever x < 0 is rational; on the other hand, for a rational x > 0, we have f .x/ D x C 1 > 1. In any case, ff .x/I x 2 Qg  Œ1; C1/; which is a proper subset of the codomain R of f . More generally, given a function f W X ! Y, the image of f is the set Im.f /, whose elements are the images f .x/ 2 Y of the elements x 2 X: Im.f / D ff .x/ 2 YI x 2 Xg: In particular, we always have Im.f /  Y. In the example just discussed, we showed that the image of a function can be a proper subset of its codomain. Nevertheless, we didn’t get an explicit description of the image of the function under consideration. As further developments will show, in specific situations this can be a somewhat hard task. For the time being, let’s consider an illustrative example. Example 6.10 Find an explicit description of the image of the function f W Qnf0g ! Q given by f .r/ D 1b , if the nonzero rational r is written as r D ab , with a 2 Z, b 2 N and gcd.a; b/ D 12 . Solution The function f is well defined, in the sense that its definition is not ambiguous. Indeed, it’s a standard fact that every nonzero rational number admits a unique representation as the quotient of two relatively prime integers,  4  the , so that f  6 D 13 . denominator being a natural number; for example,  46 D 2 3 On the other hand, in the notations of the statement of the example, since b 2 N, we immediately see that Im.f / 

o n 1 1 1 o I b 2 N D 1; ; ; ; : : : : b 2 3 4

n1

Moreover,   it is clear that all elements of the last set above do belong to the image of f , for f 1b D 1b , for every b 2 N. Hence, we conclude that

2

For further details on the gcd of two nonzero integers, read again the introduction to Chapter 1 or, alternatively, read Section 6:2 of [5].

6.1 Definitions and Examples

151

o n 1 1 1 Im.f / D 1; ; ; ; : : : : 2 3 4

t u

Unfortunately, there exists no algorithm that allows us to explicitly describe the image of an arbitrarily given function. Nevertheless, in subsequent chapters we will solve this problem for several important classes of functions. We finish this section discussing the important concept of equality of functions. p With respect to the function f of Example 6.7, it makes no sense to consider f . 2/, p since 2 … Q and the domain of f is Q. What we could do would be to consider, instead of f , the function g W R ! R, given by p 2 x C 1; if x  0 : g.x/ D x C 1; if x > 0 Although the formulas that define f .x/ and g.x/ are the same, for f they can be applied only to x 2 Q, while for g they can be applied to every real x. Therefore, it makes no sense to think about f and g as being equal functions, just denoted in two different ways. In the positive direction, we have the following Definition 6.11 Functions f W X ! Y and g W W ! Z are equal if X D W, Y D Z and f .x/ D g.x/, for every x 2 X. If f W X ! Y and g W W ! Z are equal functions, we write f D g. We also stress that, according to the above definition, the equality of f and g doesn’t merely reduce to f .x/ D g.x/; it also means the equality X D W of the domains of f and g, as well as the equality Y D Z of the codomains of these two functions. If functions f and g as above are not equal, we will write f ¤ g and say that f and g are different or distinct functions.

Problems: Section 6.1 p

1. Find the maximal domain of definition of the function f , such that f .x/ D px1 . 3x 2. Find maximal domain of definition of the function f , such that f .x/ D r the q p p 1 3   3  x. 2 2   2 b2 j 3. Let f W QC ! QC be the function defined by f ab D jaa2 Cb 2 , if a; b 2 N are relatively prime.   (a) Compute f .1/, f .10/ and f 24 . 36 32 101 (b) Among the rationals 55 , and 73 257 89 , which do belong to the image of f ?

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6 The Concept of Function

4. Consider the function f W R ! R given by f .x/ D x3  2x2 C 5x, for every x 2 R. Prove that f .x/ has the same sign of x,pfor every real number x ¤ 0. 5. Function f W R ! R is such that f .1/ D 2, f . 2/ pD 4 and f .x C y/ D f .x/f .y/, for every x; y 2 R. Compute the value of f .3 C 2/. 6. Let f W R ! R be a function such that f .x C y/ D f .x/ C f .y/, for every reals x and y. If .ak /k1 is an AP of common difference r, prove that the sequence .f .ak //k1 is an AP of common difference f .r/. 7. Let f W R ! R be a function such that f .x C y/ D f .x/f .y/, for every reals x and y. If .ak /k1 is an AP of common difference r and such that f .a1 / ¤ 0, prove that the sequence .f .ak //k1 is a GP of common ratio f .r/. 8. * Given a nonempty set X  R and functions f ; g W X ! R, extend the discussion in the text, furnishing adequate definitions to the difference f  g and the quotient gf of the functions f and g. 9. * The integer part of a real number x, denoted bxc, is defined to be the greatest integer which is less than or equal to x. For instance, bc D 3, b 32 c D 2 and b1c D 1. Find the image of the integer part function b c W R ! R ; x 7! bxc

(6.2)

that associates to each x 2 R its integer part bxc. 10. * The fractional part of a real number x, denoted fxg, is defined as fxg D x  bxc, where bxc stands for the integer part of x (see the previous problem). For example, fg D   3, f 32 g D  32  .2/ D 12 and f1g D 1  1 D 0. Find the image of the fractional part function f g W R ! R ; x 7! fxg

(6.3)

that associates to each x 2 R its fractional part fxg. 11. (TT) Prove p that the nth natural number which is not a perfect square is equal to bn C n C 12 c, where bc is defined as in Problem 9. 12. * Let f W Q ! Q be a function such that f .x C y/ D f .x/ C f .y/, for all x; y 2 Q. Prove the following identities, for all x; y 2 Q and m; n 2 Z, with n ¤ 0: (a) (b) (c) (d) (e)

f .0/ D 0 and f .x/ D f .x/. f .x  y/ D f .x/  f .y/. f .mx/   D mf .x/. f 1n D f .1/ . n   f mn D mn f .1/.

6.2 Monotonicity, Extrema and Image

153

6.2 Monotonicity, Extrema and Image We start this section concentrating ourselves in the problem of finding the image of a given function. To this end, recall that the image of a function f W X ! Y is the set Im.f / D ff .x/ 2 YI x 2 Xg D fy 2 YI y D f .x/ for some x 2 Xg: This second way of declaring Im.f / is particularly useful in case f is a real function of a real variable, i.e., if f W X ! R, with X  R. Indeed, for such an f , if the values f .x/ are given by a formula on x 2 X, we can look at the problem of finding the image of f as that of finding the y 2 R for which the equation f .x/ D y has at least one solution x 2 X. Let’s see some examples. Example 6.12 An affine function is a function f W R ! R such that f .x/ D ax C b, for every real x, where a and b are given real numbers, with a ¤ 0. A linear function is an affine function f as above, such that b D 0. According to the previous paragraph, the image of an affine function f as above can be found by searching for the y 2 R for which the equation ax C b D y has at least one solution x 2 R. Since a ¤ 0, this equation always admits the solution x D yb a . Therefore, we conclude that every y 2 R belongs to the image of f and, hence, Im .f / D R. Example 6.13 The function of inverse proportionality is the function f W R n f0g ! R n f0g given by f .x/ D 1x , for every x 2 R n f0g. In order to find its image, it suffices to find all y 2 R for which there exists a real number x ¤ 0 (i.e., x belonging to the domain of f ), such that f .x/ D y, i.e., such that 1x D y. If y D 0, it is clear that this equation doesn’t admit solutions; on the other hand, if y ¤ 0, this same equation admits the solution x D 1y ¤ 0. Hence, Im .f / D R n f0g. It is time we define one of the most important classes of elementary real functions of a real variable. Definition 6.14 A quadratic, or second degree function is a function f W R ! R such that f .x/ D ax2 C bx C c for every real x, where a, b and c are given real numbers, with a ¤ 0. The discriminant  of f is the discriminant of the associated second degree trinomial ax2 C bx C c, so that  D b2  4ac. The problem of finding the image of a quadratic function is sufficiently important to be collected in the following Proposition 6.15 With respect to the quadratic function f .x/ D ax2 C bx C c, we have that:    ; C1 . (a) If a > 0, then Im .f / D  4a    (b) If a < 0, then Im .f / D 1;  4a .

154

6 The Concept of Function

Moreover, in any of the above cases, f .x/ D 

b  ,xD : 4a 2a

Proof Following the general procedure described at the beginning of this section, it suffices to find all y 2 R for which the equation ax2 C bx C c D y, i.e., the second degree equation ax2 C bx C .c  y/ D 0, has at least one real solution. As we already know from Section 2.3, a necessary and sufficient condition for the existence of such (a) root(s) is that this last equation has nonnegative discriminant, i.e., that b2  4a.c  y/  0. Since we agreed to let b2  4ac D , the y’s we’re looking for are precisely the solutions of the first degree inequality  C 4ay  0: Now, we separately consider the cases a > 0 and a < 0. If a > 0, then 4ay C   0 , y  

 ; 4a

and it follows that  

   Im .f / D y 2 RI y   D  ; C1 I 4a 4a if a < 0, then 4ay C   0 , y  

 4a

and, hence, 

 Im .f / D y 2 RI y   4a



 D

  1;  : 4a

To what was left to do, notice that, for y 2 Im .f /, the solutions of the equation ax2 C bx C c D y (, ax2 C bx C .c  y/ D 0) are xD

b ˙

p p b ˙  C 4ay b2  4a.c  y/ D : 2a 2a

(6.4)

Therefore, equation f .x/ D y admits a single solution if and only if  C 4ay D 0,  or, which is the same, if and only if y D  4a ; this being the case, we have from (6.4) b that x D  2a . t u

6.2 Monotonicity, Extrema and Image

155

To what comes next, we make the convention of saying that the quadratic function f .x/ D ax2 C bx C c has constant sign if f .x/  0 for every x 2 R, or f .x/  0 for every x 2 R. Corollary 6.16 The quadratic function f .x/ D ax2 CbxCc has constant sign if and only if   0. In this case, we have af .x/  0 for every x 2 R. In other words: (a) If   0 and a > 0, then f .x/  0 for every x 2 R. (b) If   0 and a < 0, then f .x/  0 for every x 2 R. Proof Let’s look at the case a > 0, the case a < 0 being totally analogous. If   0, it follows from the previous proposition that f .x/  

  0; 8 x 2 R: 4a

Conversely, suppose that a > 0 and that f has constant sign. Again from the previous proposition, the image of f contains positive numbers, so that we must have f .x/  0, for every x 2 R. In particular,    b  Df   0: 4a 2a Therefore,   0.

t u

Remark 6.17 A simple modification of the argument presented in the proof of the previous corollary allows us to conclude that i. If  < 0 and a > 0, then f .x/ > 0 for all x 2 R. ii. If  < 0 and a < 0, then f .x/ < 0 for all x 2 R. From now on, we shall use these results whenever needed, without further comments. The previous corollary can also be used to give a much simpler proof of Cauchy’s inequality (cf. Theorem 5.13). Example 6.18 Let n > 1 be an integer and a1 , a2 , . . . , an , b1 , b2 , . . . , bn be real numbers, such that at least one of the ai ’s and at least one of the bi ’s is nonzero. Consider the quadratic function f .x/ D .a1 x  b1 /2 C .a2 x  b2 /2 C    C .an x  bn /2 D Ax2  2Bx C C; where A D a21 C a22 C    C a2n > 0 (for, at least one of the ai ’s is nonzero), B D a1 b1 C a2 b2 C    C an bn and C D b21 C b22 C    C b2n . Since f .x/ is a sum of squares, we have f .x/  0 for every x 2 R. On the other hand, since A > 0, Corollary 6.16 gives  D 4.B2  AC/  0. Hence, B2  AC,

156

6 The Concept of Function

p p or, which is the same, jBj  A C. Substituting the values of A, B and C, we get Cauchy’s inequality. According to the above reasoning, equality in Cauchy’s inequality is equivalent, for the function f , to  D 0. In turn, this is equivalent to the existence of a single ˛ 2 R such that f .˛/ D 0. However, since f .˛/ is a sum of squares, the only way we can have f .˛/ D 0 is if each one of these squares vanishes, i.e., if a1 ˛  b1 D a2 ˛  b2 D    D an ˛  bn D 0: Finally, since at least one of the bi ’s is nonzero, we have ˛ ¤ 0 and, writing  D ˛1 , we get a1 D b1 ; a2 D b2 ; : : : ; an D bn as a necessary and sufficient condition for equality. In order to continue in our study of function, we need a piece of terminology. Definition 6.19 Let I  R be an interval. A function f W I ! R is said to be: (a) (b) (c) (d)

increasing, if f .x1 / < f .x2 /, for all x1 < x2 in I. decreasing, if f .x1 / > f .x2 /, for all x1 < x2 in I. nondecreasing, if f .x1 /  f .x2 /, for all x1 < x2 in I. nonincreasing, if f .x1 /  f .x2 /, for all x1 < x2 in I.

Moreover, in any of the cases above, we say that the function f is monotonic in I 3 . Regarding the above definition, an interesting (and, as we shall see, important) problem is the one of finding the monotonicity intervals of a function f W I ! R, where I  R is an interval. By that we mean to find the intervals J  I such that f is increasing (resp. decreasing, nondecreasing or nonincreasing) in J. Here we shall see some elementary examples, postponing a more general analysis to Chapter 9. Example 6.20 The affine function f W R ! R, given by f .x/ D ax C b, is increasing if a > 0 and decreasing if a < 0. Let’s verify this claim in the case a > 0, the analysis of the case a < 0 being totally analogous. Letting x1 < x2 be two real numbers, it follows from a > 0 that f .x2 /  f .x1 / D .ax2 C b/  .ax1 C b/ D a.x2  x1 / > 0: Therefore, f is increasing.

3

In the notations of this definition, it is worth observing that, for some authors, a function f satisfying the condition of item (a) (resp. of item (b), (c) or (d)) is said to be strictly increasing (resp. strictly decreasing, increasing or decreasing).

6.2 Monotonicity, Extrema and Image

157 2

x Example 6.21 The function f W Œ0; C1/ ! R, given by f .x/ D xC2 , is increasing in the whole interval Œ0; C1/. To check this, take real numbers 0  a < b. Then,

b2 a2  bC2 aC2 1 Œb2 .a C 2/  a2 .b C 2/; D .a C 2/.b C 2/

f .b/  f .a/ D

and, since .a C 2/.b C 2/ > 0, it suffices to show that b2 .a C 2/  a2 .b C 2/ > 0. To this end, start by writing b2 .a C 2/  a2 .b C 2/ D b2 a  a2 b C 2.b2  a2 / D ab.b  a/ C 2.b  a/.b C a/ D .b  a/Œab C 2.b C a/: Now, since 0  a < b, both factors in the last product above are positive, so that b2 .a C 2/  a2 .b C 2/ > 0. Example 6.22 Function f W R ! R, given by f .x/ D x3 C 2x, for every x 2 R, is increasing. Indeed, for any real numbers a < b, we have f .b/  f .a/ D b3  a3 C 2b  2a D .b  a/.b2 C ba C a2 / C 2.b  a/ D .b  a/.b2 C ab C a2 C 2/: Since b  a > 0, it suffices to show that a2 C ab C b2 C 2 > 0; in order to do this, one possibility is to use the inequality between the arithmetic and geometric means for two numbers: a2 C b2 C ab C 2  2jabj C ab C 2  jabj C 2 > 0; where, in the next to last inequality, we used the fact that j˛j C ˛  0, for every ˛ 2 R. The coming proposition solves, for quadratic functions, the problem of finding the monotonicity intervals. Proposition 6.23 Let a, b, c 2 R, with a ¤ 0, and f .x/ D ax2 C bx C c for every x 2 R.   b   b and increasing in  2a ; C1 . (a) If a > 0, then f is decreasing in 1;  2a    b  b (b) If a < 0, then f is increasing in 1;  2a and decreasing in  2a ; C1 .

158

6 The Concept of Function

Proof Let’s do the proof of item (a), the proof of item (b) being totally analogous. b For x2 > x1   2a , we have f .x2 /  f .x1 / D a.x22  x21 / C b.x2  x1 /   b > 0; D a.x2  x1 / x2 C x1 C a b since x2 > x1   2a gives x2  x1 > 0, as well as x2 C x1 C

b a

> 0.

t u

The next definition is, in a certain sense, complementary to Definition 6.19. Definition 6.24 Let I  R be an interval and f W I ! R be a given function. We say that y0 2 R is the minimum value of f in I if the two following conditions are satisfied: (a) Im .f /  Œy0 ; C1/. (b) y0 2 Im .f /. In this case, the real numbers x0 2 I such that f .x0 / D y0 are called the minimum points of the function f . Similarly, we define what one means by the maximum value and the maximum points of a function f W I ! R (I  R being an interval). The maximum and minimum points of a given function (provided they exist) are collectively called its extreme points; accordingly, the values the function takes at those points are its extreme values. In Section 9.6, we shall see how to search extreme points for differentiable functions, i.e., functions possessing derivatives. For the time being, we shall content ourselves in analysing some elementary examples, the first of which being an immediate consequence of Proposition 6.15. Proposition 6.25 With respect to the quadratic function f .x/ D ax2 C bx C c, if b a > 0 (resp. a < 0), then  2a is the only minimum (resp. maximum) point of f .  Moreover, the minimum (maximum) value of f is  4a . The proposition above has several interesting applications, two of which are collected below, for the sake of illustrating its use. For the necessary geometric background, we refer the reader to [4]. Example 6.26 There is given a semicircle of 1cm of radius. A rectangle is so situated that one of its sides lies on the diameter of the semicircle, whereas its other two vertices lie on the semicircle itself. Compute the largest possible value for the area of the rectangle. Solution Let Fig. 6.4 account for the described situation, so that AB is the diameter of the semicircle, O is its center and PQRS is the given rectangle, with PQ  AB. Setting OQ D x and QR D y, the area of PQRS equals 2xy. On the other hand, applying Pitagoras’ theorem to triangle OQR, we get x2 C y2 D 1 and, hence,

6.2 Monotonicity, Extrema and Image

159

Fig. 6.4 Maximizing the area of rectangle PQRS

R

S 1

A

P

O x Q

y

B

p p p 2xy D 2x 1  x2 D 2 x2 .1  x2 / D 2 x2  x4 : Now, making the substitution z D x2 , it follows from the last expression above for the area that it suffices to maximize the quadratic function f .z/ D z  z2 , subjected to the condition 0 < z < 1 (for, x < OR D 1). By Proposition 6.25, such a function (without any further restrictions) admits z D 12 as its only maximum point.   Moreover, since 12 2 .0; 1/, it follows that the desired maximum value is f 12 D 14 . q Therefore, the maximum value for the area is 2 14 D 1. t u Example 6.27 Given a triangle ABC in the plane, show that its baricenter is the 2 2 2 only point P in the plane of ABC for which the sum AP C BP C CP attains its minimum possible value. Proof Fix a cartesian system of coordinates in the plane, with respect to which A.x1 ; y1 /, B.x2 ; y2 / and C.x3 ; y3 /. If P.x; y/, then the formula for the distance between two points in the plane furnishes 2

2

2

AP C BP C CP D f .x/ C g.y/; where f .x/ D

3 X

.x  xi /2 D 3x2  2.x1 C x2 C x3 /x C .x21 C x22 C x23 /

iD1

and, analogously, g.y/ D 3y2  2.y1 C y2 C y3 /y C .y21 C y22 C y23 /. 2 2 Since x and y are independent variables, in order to minimize AP C BP C 2 CP it suffices to minimize the quadratic functions f and g. To this end, invoking Proposition 6.25 we conclude that f and g attain their minimum values only at the points x D 13 .x1 C x2 C x3 / and y D 13 .y1 C y2 C y3 /, respectively. However, it is a well known fact (cf. Chapter 6 of [4], for instance) that these are precisely the coordinates of the baricenter of triangle ABC. t u To address the problem of finding the maximum and/or minimum values of a given function, another elementary strategy which is sometimes useful is to resort to inequalities. In what follows we shall see two examples along these lines.

160

6 The Concept of Function 2

C1 Example 6.28 Let f W Œ0; C1/ ! R be the function given by f .x/ D xxC1 , for every x 2 R. What is the minimum value of f ? Does f attain a maximum value?

Solution First of all, note that x2  1 C 2 x2 C 1 D xC1 xC1 2 2 D .x C 1/ C  2: Dx1C xC1 xC1

f .x/ D

Therefore, applying (5.2) (with a D x C 1 and b D .x C 1/ C

2 ), xC1

we get

r p 2 2  2 .x C 1/  D 2 2; xC1 xC1

2 , i.e., if and only if x2 C 2x  1 D 0. Since with equality if and only if x C 1 D xC1 x p 0, we conclude that equality takes place in the above inequality if and only if x D 2  1. Thus, for x  0 we have

f .x/ D .x C 1/ C

p 2  2  2 2  2; xC1

p so that p 2 2  2 is the minimum possible value for f , and it is attained only at x D 2  1. 2 To what is left, just notice that, for n 2 N, we have f .n/ D n  1 C nC1  n  1. Therefore, f does not attain a maximum value. t u Example 6.29 Find the maximum value and the maximum point(s) of the function p x f W Œ0; C1/ ! R, given by f .x/ D x2 C16 . Solution It follows from the inequality between the arithmetic and geometric means that 16 16 16 x2 C 16 D x2 C C C 3 3 3 r 32 p 16 16 16 4  x;   D p  4 x2  4 3 3 3 27 so that p p 4 x 27  : f .x/ D 2 x C 16 32

6.2 Monotonicity, Extrema and Image

161

Equality holds if and only if x2 D Thus,

p 4

27 32

16 3 ,

which is the same as x D

p4 3

is the maximum value of f and it is attained only at x D

(since x  0).

p4 . 3

t u

Problems: Section 6.2 1. Find the image of the function f W R ! R, given by f .x/ D x2 1C1 , for every x 2 R. 2. * Find the image of the function f W R ! R, given by f .x/ D x C 1x , for every x 2 R . 3. Let I  R be an interval, let a 2 I and f W I ! R be a given function. If f is increasing (resp. decreasing) in .1; a \ I and decreasing (resp. increasing) in Œa; C1/ \ I, prove that a is the only maximum (resp. minimum) point of f in I. 4. * Let X  R be a nonempty set, f W X ! R be a given function and c 2 R. Relate the images of the functions f and f C c. More precisely, if Y D Im .f /, prove that Im .f C c/ D Y C c, where Y C c denotes the set Y C c D fy C cI y 2 Yg: 5. * Let X  R be a nonempty set, f W X ! R be a given function and c 2 R . Relate the images of the functions f and cf . More precisely, if Y D Im .f /, prove that Im .cf / D cY, where cY denotes the set cY D fcyI y 2 Yg: 6. Motivated by the canonical form of the second degree trinomial ax2 C bx C c, from now on we shall say that ( f .x/ D a

b xC 2a

2

  2 4a

) (6.5)

is the canonical form of the quadratic function f .x/ D ax2 C bx C c. Use this canonical form to give another proof of Proposition 6.15. 7. Let f .x/ D ax2 C bx C c be a quadratic function for which  > 0, and x1 < x2 be the roots of f .x/ D 0. Prove the following items: (a) If a > 0, then f .x/ < 0 , x 2 .x1 ; x2 /. (b) If a < 0, then f .x/ < 0 , x … Œx1 ; x2 . 8. Let f .x/ D ax2 C bx C c be a quadratic function. If there exists a real number x0 for which af .x0 / < 0, prove that  > 0 and x0 2 .x1 ; x2 /, where x1 < x2 are the roots of the equation f .x/ D 0.

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9. Among all rectangles of a given perimeter, prove that the one of largest possible area is the square. 10. The cross section of a tunnel has the shape of a semicircle of radius 5m. The tunnel has two lanes of traffic, which go in opposite directions and are separated one from the other by a narrow median. The trucks of a transportation firm are to cross the tunnel to take goods from one city to another. If the trucks are 18m long, what should be their widths and heigths, so that they can carry the largest possible load volume per travel? 11. Compute the maximum value of the function f W R ! R given by f .x/ D x5x1 2 C1 , for every x 2 R. 12. Let ˛1 < ˛2 <    < ˛n be given reals, and f W R ! R be given by f .x/ D jx  ˛1 j C jx  ˛2 j C    C jx  ˛n j; for every x 2 R. Prove that f attains a minimum value and compute it in terms of ˛1 , ˛2 , . . . , ˛n . 13. In each of the following items, use the inequality between the arithmetic and geometric means to compute the maximum value of the given function: (a) f W R ! R given by f .x/ D

x , for every x 2 R. 2x2 C3 2x2 C5xC2 , for every x 2 x2 C1 3

(b) f W R ! R given by f .x/ D R. (c) f W Œ0; 1 ! R given by f .x/ D x.1  x /, for every x 2 Œ0; 1. 14. In each of the following items, use the inequality between the arithmetic and geometric means to compute the minimum value of the given function: (a) f W .0; C1/ ! R given by f .x/ D .xC10/.xC2/ , for every x 2 .0; C1/. xC1 (b) f W .0; C1/ ! R given by f .x/ D x2 C ax , for every x 2 .0; C1/, where a is a positive real constant. 2 (c) f W .0; C1/ ! R given by f .x/ D x3xCa , for every x 2 .0; C1/. (d) f W .0; C1/ ! R given by f .x/ D 6x C 24 , for every x 2 .0; C1/. x2 15. (Romania) Let x; y 2 R be such that x2  xy C y2  2. Show that x4 C y4  8 and explain when the equality holds. 16. (TT) Find all reals x, y, z and t such that 8 y D x3 C 2x ˆ ˆ < z D y3 C 2y : ˆ t D z3 C 2z ˆ : x D t3 C 2t For the next problem, the reader might find it helpful to recall the discussion on the gcd of two nonzero integers, at the beginning of Chapter 1. alternatively, look at Chapter 6 of [5].

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17. (OCM) Let f W N ! N be a function such that f .mn/ D f .m/ C f .n/ whenever m and n are relatively prime. A natural number m is said to be a strangulation point of f if n < m ) f .n/ < f .m/ and n > m ) f .n/ > f .m/. If f has infinitely many strangulation points, show that it is an increasing function.

6.3 Composition of Functions Functions f W X ! Y and g W Y ! Z give well defined rules for, departing from x 2 X via f , get y D f .x/ 2 Y and then, via g, get z D g.y/ 2 Z. It thus seems reasonable that we may form a new function that allows us to go directly from X to Z. This is indeed the case, and the corresponding function is called the composite of f and g, according to the following Definition 6.30 Given functions f W X ! Y and g W Y ! Z, the composite function of f and g (in this order) is the function g ı f W X ! Z, defined for x 2 X by .g ı f /.x/ D g.f .x//: Roughly speaking, the above definition means that, in order to find the image of x 2 X by g ı f , it suffices to find the image of f .x/ 2 Y by g. On the other hand, it is easy to verify that g ı f , as defined above, is indeed a function. Also, observe that to form the composite of f and g, it is necessary that the domain of g equals the codomain of f . Let’s see some examples. Example 6.31 Let X and Y be nonempty sets and f W X ! Y an arbitrary function. If IdX W X ! X and IdY W Y ! Y are the identity functions on X and Y, respectively, then f ı IdX D f and IdY ı f D f : Let’s check the equality f ı IdX D f , the other one being totally analogous. To this end, it suffices to note that f ı IdX is a function from X to Y such that, for evey x 2 X, .f ı IdX /.x/ D f . IdX .x// D f .x/: Example 6.32 Let f ; g W R ! R be the functions given by f .x/ D x2 and g.x/ D 1 , for every x 2 R. Then, g ı f and f ı g are functions from R to R, with x2 C1 .g ı f /.x/ D g.f .x// D

1 1 1 D 2 2 D 4 .f .x//2 C 1 .x / C 1 x C1

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and .f ı g/.x/ D f .g.x// D .g.x//2 D



1 2 x C1

2

D

x4

1 : C 2x2 C 1

The preceding example show an interesting phenomenon: it must happen that g ı f ¤ f ı g. More precisely, it may happen that we can form g ı f but cannot form f ı g (or vice-versa); it suffices to have, for instance, f W X ! Y and g W Y ! Z, with X ¤ Z. Nevertheless, even if we can form both g ı f and f ı g, it may well be the case that g ı f ¤ f ı g. Example 6.33 Let f ; g W .0; C1/ ! .0; C1/ be functions given by f .x/ D

x2 C 1 3x2

and .f ı g/.x/ D

xC2 ; 3

for every x 2 .0; C1/. Find an expression for g.x/ in terms of x. Solution The definition of composite function gives xC2 g.x/2 C 1 D .f ı g/.x/ D f .g.x// D ; 3 3g.x/2 so that

g.x/2 C1 3g.x/2

D

xC2 3

or, which is the same, 3g.x/2 C 3 D 3.x C 2/g.x/2 :

Looking at this expression as a first degree equation in g.x/2 , we obtain g.x/2 D 1 and, hence, g.x/ D ˙ pxC1 , for each x > 0. However, since g has positive

1 xC1

image, we must have g.x/ D

p1 , xC1

for every x > 0.

t u

The operation of composition of functions, albeit not commutative, is associative, as the next proposition teaches us. Proposition 6.34 Given functions f W X ! Y, g W Y ! Z and h W Z ! W, we have h ı .g ı f / D .h ı g/ ı f : Proof First of all, both h ı .g ı f / and .h ı g/ ı f are functions from X to W. Hence, we only need to check that they associate, to each x 2 A, a single element of W. To see this, just note that .h ı .g ı f //.x/ D h..g ı f /.x// D h..g.f .x/// D .h ı g/.f .x// D ..h ı g/ ı f /.x/: t u

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The previous proposition is quite important, for, it guarantees that if functions f , g and h (in this order) can be composed, then the composite function can be safely denoted by h ı g ı f , and we need not worry about which composition to perform first. As an immediate generalization of this remark, suppose functions f , g, h and l (in this order) can be composed. Then, the previous proposition gives l ı .h ı .g ı f // D .l ı h/ ı .g ı f / D ..l ı h/ ı g/ ı f D    ; so that the order in which we insert parentheses does not alter the composition. It is not difficult to see that the situation described in the last paragraph remains true for the composition (whenever possible) of any finite number of functions. In particular, given a nonempty set X, a function f W X ! X and a natural number n, this last fact allows us to unambiguously define the nth composite function f .n/ W X ! X, by setting f .n/ D f ı f ı    ı f : „ ƒ‚ … n

Example 6.35 Let f W R n f1; 1g ! R n f1; 1g be the function given by f .x/ D 1x 1Cx , for every x ¤ ˙1. For each n 2 N, find the expression that defines the nth composite function f .n/ . Solution Firstly, note that f .n/ W R n f1; 1g ! R n f1; 1g. Now, since f .2/ .x/ D .f ı f /.x/ D f .f .x// D

1x 1  1Cx 1  f .x/ D D x; 1x 1 C f .x/ 1 C 1Cx

we have f .2/ D IdX , the identity function of X D R n f1; 1g. This gives us f .3/ D f ı f .2/ D f ı IdX D f and f .4/ D f ı f .3/ D f ı f D IdX : In general, suppose (by induction hypothesis) that we have already proved that f .2k1/ D f and f .2k/ D IdX , for some integer k  1. Then, f .2kC1/ D f ı f .2k/ D f ı IdX D f and f .2kC2/ D f ı f .2kC1/ D f ı f D IdX : Therefore, we conclude that f .n/ D f whenever n is odd, and f .n/ D IdX whenever n is even. u t Given a function f W X ! Y, we’ve already seen some examples that illustrate the fact that the image of f is not necessarily equal to its codomain Y. On the other

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hand, we can also have two distinct elements of X with the same image via f . For an example, consider the quadratic function f .x/ D x2 , with x 2 R; for every x 2 R, we have f .x/ D x2 D .x/2 D f .x/. We attach special names to functions whose images coincide with their codomains, or which associate distinct images to distinct elements of their domains. This is set in the coming Definition 6.36 A function f W X ! Y is said to be: (a) Injective, or one-to-one, or an injection, if, for every y 2 Y, there exists at most one x 2 X such that f .x/ D y. (b) Surjective, or onto, or a surjection, if, for every y 2 Y, there exists at least one x 2 X such that y D f .x/. In other words, this is the same as saying that the image of f is all of Y. (c) Bijective, or one-to-one onto, or a bijection, if it is simultaneously injective and surjective. An efficient way of verifying whether a function f W X ! Y is injective or not is to verify whether the implication f .x1 / D f .x2 / ) x1 D x2

(6.6)

is true for all x1 ; x2 2 X. Accordingly, in order to prove that f is surjective, one must be capable of, for each y 2 Y, guarantee the existence of at least one solution x 2 X for the equation f .x/ D y. Let’s see some examples. Example 6.37 If X  R is a nonempty set and f W X ! X is a function such that f .f .x// D x for every x 2 X, then f is a bijection. Proof Let x1 and x2 be elements of X for which f .x1 / D f .x2 /. According to (6.6), in order to show that f is injective it suffices to prove that x1 D x2 . To this end, observe that f .x1 / D f .x2 / implies f .f .x1 // D f .f .x2 // and, then (by using the given hypothesis), x1 D x2 . The surjectivity of f also follows from the hypothesis: for a fixed y 2 X, taking x D f .y/ 2 X we get f .x/ D f .f .y// D y, so that y 2 Im.f /. t u As a particular case of the previous example, the function of inverse proportionality (cf. Example 6.13) is a bijection from R n f0g into itself. Example 6.38 Let f W Œ0; 1 ! Œ0; 1 be a surjective function, such that jf .x1 /  f .x2 /j  jx1  x2 j for all x1 ; x2 2 Œ0; 1. Prove that there are only two possibilities: either f .x/ D x for every x 2 Œ0; 1, or f .x/ D 1  x for every x 2 Œ0; 1. Proof Let a; b 2 Œ0; 1 be chosen in such a way that f .a/ D 0 and f .b/ D 1 (that it is possible to make such a choice follows from the surjectivity of f ). Then, the given hypothesis allows us to write 1 D j1  0j D jf .b/  f .a/j  jb  aj  1;

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so that jb  aj D 1. However, the only a; b 2 Œ0; 1 such that jb  aj D 1 are a D 0 and b D 1, or vice-versa. Suppose that a D 0 and b D 1 (the other case can be haldled similarly), and take any c 2 .0; 1/. Triangle inequality (5.10), together with the hypothesis on f , give 1 D jf .1/  f .0/j  jf .1/  f .c/j C jf .c/  f .0/j  j1  cj C jc  0j D .1  c/ C c D 1: Hence, we must have jf .c/  f .0/j D jc  0j and, since c; f .c/  0, we get f .c/ D c. Finally, this is true for every c 2 Œ0; 1, so that f .x/ D x for every x 2 Œ0; 1. t u The coming proposition teaches us the way injective, surjective and bijective functions behave with respect to composition. Proposition 6.39 Let f W X ! Y and g W Y ! Z be given functions. Then: (a) (b) (c) (d) (e)

g ı f injective ) f injective, but the converse is not necessarily true. g ı f surjective ) g surjective, but the converse is not necessarily true. g and f injective ) g ı f injective. g and f surjective ) g ı f surjective. g and f bijective ) g ı f bijective.

Proof (a) For x1 ; x2 2 X, we have f .x1 / D f .x2 / ) g.f .x1 // D g.f .x2 // ) .g ı f /.x1 / D .g ı f /.x2 / ) x1 D x2 ; where, in the last passage, we used the fact that g ı f is injective. We now have to give an example in which f is injective but g ı f is not. To this end, take X D Y D Z D R, f .x/ D x and g.x/ D x2 . (b) Choosing z 2 Z arbitrarily, the surjectivity of g ı f guarantees the existence of at least one x 2 X such that z D .g ı f /.x/. Then, z D g.f .x//, so that g is also surjective. For the second part, take X D Y D Z D R, g.x/ D x and f .x/ D x2 ; then, g is surjective, but g ı f is not. (c) Let x1 ; x2 2 X. By using the injectivity of g and, then, that of f , we obtain .g ı f /.x1 / D .g ı f /.x2 / ) g.f .x1 // D g.f .x2 // ) f .x1 / D f .x2 / ) x1 D x2 ; Hence, g ı f is also injective.

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(d) Let z 2 Z be arbitrarily choosen. The surjectivity of g guarantees the existence of y 2 Y such that z D g.y/. On the other hand, the surjectivity of f assures the existence of x 2 X for which f .x/ D y. Then, we have .g ı f /.x/ D g.f .x// D g.y/ D z; so that g ı f is surjective, too. (e) It follows from items (c) and (d) that g and f bijective ) g and f injective and surjective ) g ı f injective and surjective ) g ı f bijective: t u Let’s revisit Example 6.37 in light of the previous proposition. Example 6.40 Let X be a nonempty set. If f W X ! X is a function such that f ı f D IdX , then f is a bijection. Proof Indeed, since the identity function IdX W X ! X is a bijection, it follows from items (a) and (b) of the previous proposition that f is injective and surjective, hence, bijective. t u The material of this section also allows us to study the important concept of countably infinite sets, according to the following Definition 6.41 An infinite set A is said to be countable if there exists an injective function f W A ! N. In this case, we shall also say that A is a countably infinite set. If A is countably infinite and B  A is infinite, then B is also countably infinite. Indeed, by composing an injective function f W A ! N with the inclusion  W B ! A (that sends each x 2 B to itself), we get the injective function f ı  W B ! N. In particular, every infinite subset of N is countable. The set Z of integers is also countably infinite, for one can easily check that the function f W Z ! N given by  f .x/ D

2x; if x < 0 2x C 1; if x  0

is a bijection. Perhaps a little more surprising is the following Example 6.42 The cartesian product N N is a countably infinite set. Proof It suffices to define f W N N ! N by setting f .m; n/ D 2m1 .2n  1/; 8 m; n 2 N:

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169

A straightforward argument on odd and even numbers shows that f is injective. (Actually, the Fundamental Theorem of Arithmetic – cf. introduction to Chapter 1 or Chapter 6 of [5] – assures that f is bijective.) t u With a little more effort (see Problem 21), we can prove that Q is countably infinite. However, as will be seen in Section 7.4 (cf. Example 7.46), R is uncountable, i.e., not countable. In turn, this implies (cf. Problem 22) that I D R n Q is also uncountable. For yet another example of an uncountable set, see Problem 23. The following lemma shows that the elements of every countably infinite set can be written as terms of a sequence. Lemma 6.43 If A is a countably infinite set, then there exists a bijection f W N ! A. In particular, letting an D f .n/, we get A D fa1 ; a2 ; a3 ; : : :g. Proof By definition, there exists an injective function g W A ! N. Then, g induces a bijection (which we will also denote by g) from A to B D Im.g/  N. If we construct a bijection h W N ! B, then f D g ı h W N ! A will also be a bijection. To what is left to do, we start by letting b1 D min B and setting h.1/ D b1 . Since B is infinite, we can let b2 D min.Bnfb1 g/ and set h.2/ D b2 . By the same token, let b3 D min.B n fb1 ; b2 g/ and set h.3/ D b3 . Continuing this way, we define a function h W N ! B such that, letting h.k/ D bk , we have b1 D min B and   bk D min B n fb1 ; : : : ; bk1 g for every natural k > 1. In particular, b1 < b2 < b3 <    and h is injective. If h was not surjective, there would exist b 2 B such that b ¤ b1 ; b2 ; b3 ; : : :. If bk < b for every k 2 N, then B  f1; 2; : : : ; bg, a contradiction to the fact that B is infinite. Hence, there would exist a natural m > 1 such that bm1 < b < bm . However, since   h.m/ D min B n fh.1/; : : : ; h.m  1/g   D min B n fb1 ; : : : ; bm1 g ; we should have defined h.m/ to be b, instead of bm . Since this is a contradiction, we conclude that h is indeed surjective. t u The concept and properties of countable sets give rise to interesting results, one of which we collect in the following Example 6.44 Show that it is possible to partition the set of natural numbers in two sets A and B satisfying the following conditions: (a) Neither A nor B contains the terms of an infinite and nonconstant AP. (b) For all distinct x; y 2 A, we have jx  yj  2016. Proof An infinite and nonconstant AP of naturals is characterized by the ordered pair .a; r/, where a is its first term and r is its common difference. Since N N

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is countable, the same is true of the family P of infinite and nonconstant AP’s of naturals. Hence, we can write P D fs1 ; s2 ; s3 ; : : :g. Now, let Ak be the set whose elements are the terms of sk , and let A be defined in the following way: take x1 2 A1 , x2 2 A2 , . . . such that x2  x1  2016, x3  x2  2017, x4  x3  2018, . . . (that this is possible follows from the fact that each Ak is an infinite set). Then, let B D N n A. It is clear that A does not contain the terms of an infinite AP of common difference r 2 N, for the differences xj  xj1 are eventually all greater than r. On the other hand, B does not contain the terms of an infinite and nonconstant AP either, for, if it did, we should have B Ak for some k 2 N; however, xk 2 Ak n B. u t

Problems: Section 6.3 1. Let f and g be real functions of a real variable, given by f .x/ D x  72 and g.x/ D x2  14 . Find the solution set of the inequality j.g ı f /.x/j > .g ı f /.x/. 2. Let f and g be real functions of a real variable, such that f .x/ D 2x C 7 and .f ı g/.x/ D x2  2x C 3, for every x 2 R. Find the expression that defines g.x/ in terms of x. 3. Let f ; g W R ! R be such that g.x/ D 2x  3 and .f ı g/.x/ D 2x2  4x C 1. Find the expression that gives f .x/ in terms of x. 4. Let f and g be real functions of a real variable, given by f .x/ D ax C b and g.x/ D cx C d for every x 2 R, with ac ¤ 0. Show that f ı g D g ı f , .a  1/d D .c  1/b: 5. Let f W R ! R be the function defined by ( f .x/ D

xCa ; xCb

if x ¤ b : 1; if x D b

If f .f .x// D x for every real x, compute the possible values of b. 6. * Let I  R be an interval and f W I ! R be an increasing or decreasing function. Prove that f is injective. 7. Let I; J  R be intervals and f W I ! J and g W J ! R be given functions. If f and g are increasing (resp. if f is increasing and g is decreasing, or vice-versa), prove that g ı f is also increasing (resp. decreasing). 8. Let f W R n f0g ! R be a function such that       1 1 1 D 1 and f x C D f .x/ C f ; f .x/f x x x 2 2 for every  u  real numbers such that u C v D 1  1 real x ¤ 0. If u and v are nonzero and f uv D 2, compute the value of f v .

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171

9. Given a function f W X ! Y, we define its graph4 as the subset Gf of the cartesian product X Y given by Gf D f.x; y/ 2 X YI y D f .x/g:

10.

11. 12. 13. 14. 15.

Let F W X ! Gf be the function defined by F.x/ D .x; f .x//, for every x 2 X. Prove that F is a bijection. * Let ; ¤ X  R be a union of intervals, which is symmetric with respect to 0 2 R. We say that a function f W X ! R is even (resp. odd) if f .x/ D f .x/ (resp. f .x/ D f .x/), for every x 2 X. If ; ¤ X  R is as above, prove that every function f W X ! R can be written, in a unique way, as a sum of an even and an odd function with domain X.   Let f W R n f0g ! R be a function such that f ab D f .a/  f .b/, for every nonzero real numbers a and b. Prove that f is an even function. Let f W R ! R be an odd function. Decide whether the function f ı f is even, odd, or not even nor odd. Let g W R ! R be an odd function, such that g.x/ > 0 whenever x > 0. Show that there exists a function f W R ! R for which g D f ı f . Find all real values of k for which the image of the function f W R n f1g ! R, 2 CkxCk given by f .x/ D 4x xC1 , equals R n .L; L/, for some positive real L. * A function f W R ! R is periodic if there exists a smallest positive real number p, called the period of f , such that f .x C p/ D f .x/ for every x 2 R. Given a periodic function f W R ! R, of period p > 0, do the following items: (a) Let g W R ! R be also periodic of period p. If f .x/ D g.x/ for every x 2 Œ0; p/, prove that f D g. (b) Given a 2 R n f0g, prove that the function g W R ! R, given by g.x/ D p f .ax/, is periodic of period jaj .

16. (Italy) Let f W R ! R be a function such that f .10 C x/ D f .10  x/ and f .20 C x/ D f .20  x/, for every real x. Prove that f is odd and find p > 0 such that f .x C p/ D f .x/, for every x 2 R. 17. (IMO - adapted) Let f W R ! Œ0; 1 be a function such that, for a certain a 2 R, we have f .x C a/ D

1 p C f .x/  f .x/2 ; 2

for every x 2 R. Prove that f is periodic. 18. (Brazil) The function f W Z ! R is such that f .x/ D x  10 for x > 100 and f .x/ D f .f .x C 11// for x  100. Find the image of f .

4

Graphs of real functions of a real variable will be one of the main objects of study along these notes, starting from Section 6.6.

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19. (Hungary) Let f W N ! N be a function satisfying the following conditions: (a) f .1/ D 1. (b) f .2n/ D 2f .n/ C 1. (c) f .f .n// D 4n C 1. Compute f .1993/. 20. Give an example of a surjective function f W N ! N such that, for every n 2 N, the set fx 2 NI f .x/ D ng is infinite. 21. * The purpose of this problem is to show that Q is countably infinite. To this end, do the following items: (a) If sets A and B are either finite or countably infinite sets, show that A B is either finite or countably infinite. (b) Construct a surjective function from Z N into Q. (c) Conclude that there exists a surjection f W N ! Q and, then, that Q is countable. 22. * The purpose of this problem is to show that I D R n Q is uncountable, assuming that R itself is uncountable (this will be proved in Example 7.46). To this end, do the following items: (a) Let A1 ; A2 ; A3 ; : : : be a countably infinite collection of sets. Show Sthat there exist B  A such that B ; B ; B ; : : : are pairwise disjoint and k k 1 2 3 k1 Ak D S B . k1 k (b) In the notations S of (a), if each of A1 ; A2 ; A3 ; : : : is finite or countably infinite, show that k1 Ak is also finite or countably infinite. (c) Show that I is uncountable. 23. * Let F be the family5 of infinite subsets A of N such that N n A is also infinite, i.e., F D fA  NI A and N n A are infinite:g: Show that F is an uncountable set.

6.4 Inversion of Functions Among all functions f W X ! Y, the case of a bijection is, in a certain sense, the best possible. Indeed, in this case the elements of X and Y are in a one-to-one onto correspondence, so that to each element of X there corresponds a single element of Y via f , and vice-versa. When this happens, we can form a function g W Y ! X by asking that f .x/ D y , g.y/ D x: 5

A family is a set whose elements are sets themselves.

6.4 Inversion of Functions

173

At this point, a natural question is this: why cannot we use the same declaration above to define g when f is not bijective? From an intuitive point of view, if f is not surjective, then there exists an element y of Y which is not the image of any element of X via f ; therefore, there is no natural way of using f and y to define g.y/. On the other hand, if f is not injective, then there exist distinct elements x1 ; x2 2 X with the same image y 2 Y via f ; if we were to try to define g by using f , there would also be no natural way of deciding which of x1 and x2 should be equal to g.y/. Back to the case in which f is bijective, it is not difficult to see that g, defined as above, is indeed a function, moreover such that .g ı f /.x/ D x, for every x 2 X, and .f ı g/.y/ D y, for every y 2 Y. Yet in another way, we have g ı f D IdX and f ı g D IdY . Conversely, if f W X ! Y and g W Y ! X are functions such that g ı f D IdX and f ı g D IdY , then Proposition 6.39 guarantees that f must be a bijection, and Problem 1 assures that g is the only function satisfying these compositions. We summarize the above discussion in the following Definition 6.45 Let f W X ! Y be a given bijection. The inverse function of f is the function g W Y ! X such that, for every y 2 Y, g.y/ D x , y D f .x/: From now on, whenever there is no danger of confusion, we shall denote the inverse (function) of a bijection f W X ! Y by f 1 W Y ! X. Notice that the exponent 1 in the notation of inverse function has no arithmetic meaning; it simply calls the reader’s attention to the fact that f 1 does the opposite of f , i.e., applies Y into X instead of X into Y, and reverses the arrows of the correspondences made by f . Now, it naturally emerges the question of how to effectively compute the inverse of a given bijection. Although such a computation is generally more complicated than that of composite functions, in the case of real functions of a real variable f W X ! Y we can reason in the following simple way: since f 1 .y/ D x , f .x/ D y, in order to find f 1 .y/ D x it suffices to solve, for x 2 X, the equation f .x/ D y. If we find a single solution x 2 X for every y 2 Y, then f will be a bijection and x (computed in terms of y) will give the sought for expression for f 1 .y/. Let’s implement such a reasoning in some relevant examples. Example 6.46 Let a and b be given reals, with a ¤ 0, and let f W R ! R be the affine function given by f .x/ D ax C b, for every x 2 R. Show that f is a bijection and find the expression of f 1 . Proof Initially, note that f .x/ D y , ax C b D y , x D

yb : a

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6 The Concept of Function

Hence, f is a bijection and, by the definition of f 1 , this value of x is precisely equal to f 1 .y/, so that f 1 .y/ D

yb : a

t u

Example 6.47 If X is a nonempty set, then, analogously to the former example, the inverse function of the identity function IdX is this function itself, so that we can write . IdX /1 D IdX . Nevertheless, the inverse of a bijective function can be the function itself, even if it is not the identity function of some nonempty set; an example is furnished by the inverse proportionality function f W R n f0g ! R n f0g (which we already know to be bijective), for which f .x/ D 1x , for every x 2 R n f0g. Indeed, since f .x/ D y ,

1 1 Dy,xD ; x y

we conclude that f 1 .y/ D x D

1 y

and, hence, f 1 D f . Example 6.48 Let a, b and c be given real numbers, with a > 0. Propositions 6.15 and 6.23 guarantee that the quadratic function f .x/ D ax2 CbxCc, seen as a function 



 b f W  ; C1 !  ; C1 ; 2a 4a is a bijection. Compute the expression of its inverse. Solution According with the discussion that 6.46, in order    preceded  b Example  to get the expressão of f 1 W  4a ; C1 !  2a ; C1 , it suffices to fix     b  y 2  4a ; C1 and solve, for x 2  2a ; C1 , the equation f .x/ D y, i.e., ax2 C bx C c  y D 0. Since this is a second degree equation in y, the condition b x   2a gives (remember that a > 0) xD

b C

p p b C  C 4ac b2  4a.c  y/ D ; 2a 2a

where  D b2  4ac is the discriminant of f . Therefore, f 1 .y/ D

b C

p

 C 4ay : 2a t u

6.4 Inversion of Functions

175

Example 6.49 As a particular case of the previous example6 , the function f W Œ0; C1/ ! Œ0; C1/, given by f .x/ D x2 for every nonnegative real x, is a bijection having as its inverse the square root function f 1 W Œ0; C1/ ! Œ0; C1/ p : x 7! x We finish this section obtaining a useful formula relating composition and inversion of bijections. Proposition 6.50 If f W X ! Y and g W Y ! Z are bijections, then g ı f W X ! Z is also a bijection and .g ı f /1 D f 1 ı g1 : Proof We already know, from item (e) of Proposition 6.39, that g ı f is bijective. On the other hand, since .g ı f /1 and f 1 ı g1 are both functions from Z to X, in order to check that .g ı f /1 D f 1 ı g1 it suffices, by the uniqueness of the inverse (cf. Problem 1), to show that .f 1 ı g1 / ı .g ı f / D IdX and .g ı f / ı .f 1 ı g1 / D IdZ : These verifications are quite straightforward and will be left for the reader as exercises. u t

Problems: Section 6.4 1. * Let f W X ! Y be a given function. (a) If g W Y ! X is such that g ı f D IdX and f ı g D IdY , prove that f is a bijection. (b) Prove that there exists at most one function g W Y ! X for which gıf D IdX and f ı g D IdY . 2. * Complete the proof of Proposition 6.50, showing (in the notations of its statement) that .f 1 ı g1 / ı .g ı f / D IdX e .g ı f / ı .f 1 ı g1 / D IdZ :

6

Here and in the previous example, we are relying on previous knowledge from the reader, namely, the existence of square roots of positive real numbers. Therefore, the present discussion will be rigorously justified only after Theorem 7.9, where we prove the existence of such roots. In this respect, the reader might also want to take a look at Example 8.36.

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6 The Concept of Function

3. Let f W Œ 12 ; C1/ ! Œ 34 ; C1/ be the function given by f .x/ D x2  x C 1, for every x  12 . Show that f is a bijection and obtain the defining expression of its inverse. 4. Let f W R n f2g ! R n f3g be the function given by f .x/ D 3x5 . Show that f is x2 a bijection and obtain the defining expression of its inverse. 5. Let a; b; c; d 2 R and f W R n f dc g ! R be the function given by f .x/ D axCb . Generalize the previous problem, showing that f defines a bijection from cxCd R n f dc g onto R n f ac g. Moreover, conclude that, if d D a, then f 1 D f . 6. * Let n be a natural number and f W Œ0; C1/ ! Œ0; C1/ be the function given by f .x/ D xn . Admitting that Im.f / D Œ0; C1/ (a fact to be proved in Example 8.36), show that f is an increasing bijection and get the expression for f 1 , thus defining the n–th root function. 7. Give an example of a bijection f W R ! R for which both f C f 1 and f  f 1 are also bijections. 8. * Let I; J  R be intervals and f W I ! J be a bijection. If f is increasing (resp. decreasing), prove that f 1 W J ! I is also increasing (resp. decreasing). 9. Let f W R ! R be a bijection and g W R R ! R R be the function defined by g.x; y/ D .x3 ; x  f .y//. Prove that g is bijective and find the expression that defines its inverse in terms of f 1 . 10. (IMO) Let G be a (nonempty) set of affine functions possessing the folllowing properties: (a) If f ; g 2 G, then f ı g 2 G. (b) If f 2 G, then f 1 2 G. (c) For every f 2 G, there exists xf 2 R such that f .xf / D xf . Prove that there exists a real number x0 such that f .x0 / D x0 for every f 2 G. 11. (France) Let f W N ! N be a bijection. Prove that there exist natural numbers a < b < c such that f .a/ C f .c/ D 2f .b/.

6.5 Defining Functions Implicitly A function can be defined implicitly by a set of properties. For example, letting g.x/ D x C 1 and h.x/ D x  1 for every x 2 R, the function f W R ! R given by f .x/ D x2 satisfies f .g.x// D g.x/2 and f .h.x// D h.x/2 ; i.e., it is such that f .x C 1/ D .x C 1/2 D x2 C 2x C 1 and f .x C 1/ D .x  1/2 D x2  2x C 1I therefore, for every x 2 R, we have f .x C 1/  f .x  1/ D 4x:

6.5 Defining Functions Implicitly

177

Now, we can try to reverse the steps above, asking which functions f W R ! R are such that f .x C 1/  f .x  1/ D 4x; 8 x 2 R:

(6.7)

Clearly, f .x/ D x2 is not the only one, for, fc .x/ D x2 Cc also satisfies (6.7), whatever the real constant c. Now, let f W R ! R be any real function satisfying (6.7), so that f is not explicitly given by its values. Since we merely know that f must satisfy that relation, we say that f is implicitly defined. On the other hand, since we know that (6.7) must be satisfied, it allows us to find other relations f must also satisfy. For instance, if g W R ! R is given by g.x/ D x2 , then f .g.x/ C 1/  f .g.x/  1/ D 4g.x/ or, which is the same, f .x2 C 1/  f .x2  1/ D 4x2 ; 8 x 2 R:

(6.8)

Thus, any function f W R ! R satisfying (6.7) will also satisfy (6.8). Nevertheless, relation (6.8) may not be very useful to the task of finding all functions f W R ! R that satisfy (6.7). It is our purpose in this section to approach the problem of finding all functions implicitly defined by a certain (finite) set of relations. Since there is no general theory to accomplish this, we shall content ourselves in analysing a number of interesting examples. In turn, these examples will provide us with several useful techniques to be employed in such problems. Let’s start by looking at two simple examples. Example 6.51 (Canada) Find all increasing functions f W N ! N, such that f .2/ D 2 and f .mn/ D f .m/f .n/, for every m; n 2 N. Solution From 1  f .1/ < f .2/ D 2 we get f .1/ D 1; also, f .4/ D f .2/f .2/ D 4 and f .8/ D f .4/f .2/ D 8. Suppose, by induction hypothesis, that f .2k / D 2k for a certain natural number k. Then, f .2kC1 / D f .2k /f .2/ D 2k  2 D 2kC1 ; and it follows that f .2n / D 2n for every nonnegative integer n. Now, let n be a fixed natural number. Since f is increasing, we have 2n D f .2n / < f .2n C 1/ <    < f .2nC1  1/ < f .2nC1 / D 2nC1 :

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6 The Concept of Function

However, f .2n C 1/, f .2n C 2/, : : :, f .2nC1  1/ are natural numbers too, so that the only possibility is f .2n C 1/ D 2n C 1; f .2n C 2/ D 2n C 2; : : : ; f .2nC1  1/ D 2nC1  1: Finally, since such a reasoning is valid for whatever natural n, we conclude that f .m/ D m, for every m 2 N. t u Example 6.52 (OIM) If D D R  f1; 0; 1g, find all functions f W D ! R such that, for every x 2 D, we have f .x/2 f



1x 1Cx

 D 64x:

 1x  ¤ 0 for every Solution First of all, note that, since x ¤ 0, we have f .x/2 f 1Cx 1x x 2 D. In particular, f .x/ ¤ 0 for every x 2 D. Now, let g.x/ D 1Cx for x 2 D. The definition of D easily gives that g.D/  D, so that we can compose f and g. This way, for every x 2 D, we have 2



f .g.x// f

1  g.x/ 1 C g.x/

 D 64g.x/:

(6.9)

Substituting the defining formula for g in the above relation, we arrive at the equality  f

 1x f 1Cx

1 1C

1x 1Cx 1x 1Cx

!



1x D 64 1Cx



or, which is the same,  f

1x 1Cx

2

 1x ; f .x/ D 64 1Cx 

for every x 2 D. Squaring both sides of the relation given in the statement of the problem and dividing the result by the last relation above, we find f .x/3 D 64x2



 1x ; 1Cx

q   1x . so that f .x/ D 4 3 x2 1Cx Up to this point, we have only shown that, if there exists a function f W D ! R satisfying the stated relation, then it must be given by the last expression above. Hence, it is necessary that we verify that such an f does satisfy that relation, for every x 2 D. Since such a verification is straightforward, we leave it to the reader. t u

6.5 Defining Functions Implicitly

179

Yet in respect to the previous example, a little more practice would have allowed us to get rid of formally defining g to, then, compose it with f in order to get (6.9). Instead, we could have just said Substituting x by

1x in the given relation; we obtain : : : ; 1Cx

keeping in mind that this substitution is actually a composition of functions. From now on, whenever there is no danger of confusion, we shall adopt this language shortcut, which already appears in the next example. When reading it, try to identify the compositions that correspond to the employed substitutions. Example 6.53 (Poland) Find all functions f W R ! R such that, for every x; y 2 R, we have .x  y/f .x C y/  .x C y/f .x  y/ D 4xy.x2  y2 /: Solution Since this relation is valid for every x; y 2 R, it must be valid if we make ab x D aCb 2 and y D 2 , with a; b 2 R. Substituting these values for x and y, we get the relation bf .a/  af .b/ D .a2  b2 /ab; which must be satisfied for every a; b 2 R. In particular, when ab ¤ 0, dividing both sides of the last relation above by ab we get f .a/ f .b/  D a2  b2 ; a b for all a; b 2 R n f0g. Hence, letting g W R n f0g ! R be the function given by  x2 , it follows from the above that g.a/ D g.b/, for all a; b 2 R n f0g. In g.x/ D f .x/ x other words, g must be constant, so that there must exist a real number k such that g.x/ D k, for every x 2 R n f0g. But this is the same of saying that f .x/ D x3 C kx, for every x 2 R n f0g. On the other hand, making x D y D 1 in the relation given in the statement of the problem, we get f .0/ D 0, for every function f W R ! R that satisfies those conditions. Since 03 C k  0 D 0, we conclude that every such function must be of the form f .x/ D x3 C kx, for every x 2 R and some real constant k. As in the previous example, we have to verify that every such function does satisfy the stated conditions. This amounts to straightforward algebrism, which will be left to the reader. t u For the next example, we need the following Definition 6.54 Let X be a nonempty set and f W X ! X be a given function. An element x0 2 X is said to be a fixed point of f if f .x0 / D x0 .

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6 The Concept of Function

If I  R is an interval, then a decreasing function f W I ! I admits at most one fixed point. Indeed, if x1 ; x2 2 I were fixed points of f , with x1 < x2 , it would follow from the fact that f is decreasing that x1 D f .x1 / > f .x2 / D x2 ; a contradiction to x1 < x2 . Example 6.55 (Argentina) Let f W R ! R be a decreasing function such that f .x C f .x// D x C f .x/, for every real number x. Prove that f .f .x// D x, for every real x. Proof The hypotheses on f guarantee that x C f .x/ is a fixed point of f , for every x 2 R. On the other hand, according to the previous discussion, the decreasing character of f assures the existence of at most one fixed point for it. Therefore, there must exist a 2 R such that x C f .x/ D a, for every x 2 R, so that f .x/ D a  x for every x 2 R. Hence, f .f .x// D f .a  x/ D a  .a  x/ D x; for every x 2 R.

t u

The next example develops a body of ideas which will reveal themselves to be useful in a number of other situations involving implicitly defined functions. In particular, the first part of the presented reasoning solves Problem 12, page 152. Example 6.56 Find all functions f W R ! R such that f .1/ D 1 and, for all x; y 2 R: (a) f .x C y/ D f .x/ C f .y/. (b) f .xy/ D f .x/f .y/. Solution Let f be a function satisfying the stated conditions. Making x D y D 0 in (a), we get f .0/ D f .0 C 0/ D f .0/ C f .0/ D 2f .0/; so that f .0/ D 0. Making y D x in (a), we obtain f .2x/ D f .x C x/ D f .x/ C f .x/ D 2f .x/; for every x 2 R. Now, making y D 2x in (a), it comes that f .3x/ D f .x C 2x/ D f .x/ C f .2x/ D f .x/ C 2f .x/ D 3f .x/;

6.5 Defining Functions Implicitly

181

for every x 2 R. Repeating the above reasoning we easily conclude, by induction on n 2 N, that f .nx/ D nf .x/; 8 n 2 N; x 2 R

(6.10)

In particular, making x D 1 in (6.10), we get f .n/ D n, for every n 2 N. Letting x D 1n in (6.10), it follows that     1 1 D nf 1 D f .1/ D f n  n n and, hence, f

1 n

D 1n . Finally, x D f

1 m

in (6.10), with m 2 N, furnishes

    1 1 1 n Df n D nf Dn D : m m m m m

n

In order to see what happens with negative rationals, let y D x in item (a), to get 0 D f .0/ D f .x C .x// D f .x/ C f .x/; or, which is the same, f .x/ D f .x/; 8 x 2 R:

(6.11)

In particular, if x < 0 is rational, it follows from (6.11), together with the fact that x is a positive rational, that f .x/ D f .x/ D .x/ D x. Therefore, f .x/ D x, for every x 2 Q. Since f .x/ D x for every x 2 Q, we suspect that the identity function of R is the only one satisfying the stated conditions. To confirm that, we now turn our attention to item (b). First of all, let’s show that, if f .x/ D 0 for some x 2 R, then x D 0. Indeed, if x ¤ 0, then, making y D 1x in item (b), we would have     1 1 Df x D f .1/ D 1; 0 D f .x/f x x which is a contradiction. Now, letting y D x ¤ 0 in (b), we obtain f .x2 / D f .x  x/ D f .x/  f .x/ D f .x/2 > 0I

(6.12)

hence, if x; y 2 R, with x < y, and a ¤ 0 is such that y  x D a2 , then, successively applying (a), (6.11) and (6.12), we get f .y/  f .x/ D f .y/ C f .x/ D f .y  x/ D f .a2 / D f .a/2 > 0; so that f is an increasing function.

182

6 The Concept of Function

Finally, suppose that there exists a 2 R such that f .a/ < a. We invoke the result of Problem 4, page 206, according to which there exists a rational number between any two real numbers. This allows us to choose a rational number r such that f .a/ < r < a, and the increasing character of f gives r D f .r/ < f .a/; which is a contradiction. Analogously, we cannot have f .a/ > a, so that the only possibility is f .a/ D a. However, since a 2 R was arbitrarily chosen, we conclude that f .x/ D x for every x 2 R. t u Our last example shows that, for implicitly defined functions f W N ! N, elementary divisibility arguments are sometimes useful. Example 6.57 (Lituania) Find all functions f W N ! N such that, for all natural numbers m and n, we have f .f .m/ C f .n// D m C n: Solution Let’s first prove that f is injective. To this end, let m and n be natural numbers such that f .m/ D f .n/ D k. Then, f .2k/ D f .f .n/ C f .n// D 2n and, analogously, f .2k/ D 2m, so that m D n. Now, let k > 1 be a natural number. From .k  1/ C 2 D k C 1, it follows that f .f .k  1/ C f .2// D k C 1 D f .f .k/ C f .1//: By the injectivity of f , we then get f .k  1/ C f .2/ D f .k/ C f .1/ or, which is the same, f .k/  f .k  1/ D f .2/  f .1/, for every k > 1. Writing this relation for k D 2; 3; : : : ; n and adding the corresponding equalities, we arrive at f .n/ D .n  1/.f .2/  f .1// C f .1/;

(6.13)

for every natural n > 1. Letting n D 2f .1/ in the above relation, it comes that 2 D f .f .1/ C f .1// D f .2f .1// D .2f .1/  1/.f .2/  f .1// C f .1/ and, hence, f .2/  f .1/ D

2  f .1/ : 2f .1/  1

Since f .2/  f .1/ is an integer, we conclude that 2f .1/  1 divides 2  f .1/. In particular, 2f .1/  1  j2  f .1/j, and from this inequality it is easy to conclude that the only possibility is f .1/ D 1, so that f .2/ D 2. It thus follows from (6.13) that f .n/ D n, for every natural n. t u

6.5 Defining Functions Implicitly

183

Problems: Section 6.5 1. * Generalize the discussion of the paragraph that precedes Example 6.55, showing that, if I  R is an interval and f ; g W I ! R are functions such that f is decreasing and g is increasing, then there exists at most one x0 2 I for which f .x0 / D g.x0 /. p p 2. Find all positive reals x for which 2 C x D 8x . 3. Find all functions f W Q ! Q such that  f

xCy 2

 D

f .x/ C f .y/ ; 2

for all x; y 2 Q. 4. (Austria) Find all functions f W Z n f0g ! Q such that, for all x; y 2 Z n f0g for which x C y is a multiple of 3, we have  f

xCy 3

 D

f .x/ C f .y/ : 2

5. (Vietnam) Find all functions f W R ! R such that 1 1 1 f .xy/ C f .xz/  f .x/f .yz/  ; 2 2 4 for all x; y; z 2 R. 6. (Spain) Find all increasing functions f W N ! N such that f .n C f .n// D 2f .n/, for every n 2 N. 7. (OIM shortlist) Find all functions f W R ! Z which satisfy the following set of conditions: (a) f .x C a/ D f .x/ C a, for every x 2 R and every a 2 Z. (b) f .f .x// D 0, for x 2 Œ0; 1/. 8. (Austrian-Polish) Prove that there doesn’t exist a function f W Z ! Z such that, for all x; y 2 Z, we have f .x C f .y// D f .x/  y: 9. (Romania) Find all functions f W Z ! Z such that f .0/ D 1 and f .f .k// C f .k/ D 2k C 3; for every k 2 Z. 10. (Romania) Let k > 1 be an odd integer and A D fx1 ; x2 ; : : : ; xk g be a set of k real numbers. Find all injective functions f W A ! A such that jf .x1 /  x1 j D jf .x2 /  x2 j D    D jf .xk /  xk j:

184

6 The Concept of Function

11. (BMO) Let a be a given real number and f W R ! R be a function such that f .0/ D 12 and f .x C y/ D f .x/f .a  y/ C f .y/f .a  x/; for all x; y 2 R. Prove that f is constant. 12. Find all functions f W Q ! QC such that f .x C y/ D f .x/f .y/, for all x; y 2 Q. 13. Find all functions f W Œ0; 1 ! Œ0; 1 such that f .0/ D 0, f .1/ D 1 and f .x C y/ C f .x  y/ D 2f .x/; for all x; y 2 Œ0; 1 such that x  y; x C y 2 Œ0; 1. 14. (Lituania) Let f W Z ! Z be such that f .m2 C f .n// D f .m/2 C n, for all m; n 2 Z. (a) Prove that f .0/ D 0 and f .1/ D 1. (b) Find all such functions. 15. (OIM) Find all increasing functions f W N ! N such that f .yf .x// D x2 f .xy/, for every x; y 2 N. 16. (IMO) Find all functions f W Œ0; C1/ ! R satisfying the following set of conditions: (a) f .xf .y//f .y/ D f .x C y/, for all x; y 2 Œ0; C1/. (b) f .2/ D 0 and f .x/ ¤ 0, for 0  x < 2. 17. (IMO) Let S D fx 2 RI x > 1g. Obtain all functions f W S ! S satisfying the following conditions: (a) f .x C f .y/ C xf .y// D y C f .x/ C yf .x//, for every x; y 2 S. (b) f .x/ x is increasing in each of the intervals .1; 0/ and .0; C1/. 18. (IMO) Decide whether there exists a function f W N ! N satisfying the following set of conditions: (a) f .1/ D 2. (b) f .n/ < f .n C 1/, for every n 2 N. (c) f .f .n// D f .n/ C n, for every n 2 N. 19. (Iran) Find all functions f W R ! R such that f .f .x C y// D f .x C y/ C f .x/f .y/  xy; for all x; y 2 R. 20. (Poland) Find all functions f W QC ! QC satisfying, for every positive rational number x, the following set of conditions: (a) f .x C 1/ D f .x/ C 1. (b) f .x3 / D f .x/3 .

6.6 Graphs of Functions

185

6.6 Graphs of Functions Given a function f W X ! Y, we define its graph to be the subset Gf of the cartesian product X Y, defined by Gf D f.x; y/ 2 X YI y D f .x/g:

(6.14)

If f W X ! R is a real function of a real variable, so that X  R is a finite union of intervals (possibly X D R), then the graph of f has considerable geometric importance, for Gf  X Y  R R; and this last set can be identified with the euclidean plane, furnished with a fixed cartesian coordinate system7 . Our purpose in these last two sections of the chapter is to examine some elementary examples and study some simple properties of graphs of functions f W X ! R, when X  R is a finite union of intervals. We postpone the discussion of the main properties of graphs of continuous and differentiable functions to chapters 8 and 9. In all that follows, we fix a cartesian coordinate system is in the plane. The first point worth observing is that not every subset of the cartesian plane can be the graph of a function. Indeed, suppose f W X ! R is a real function of a real variable, X being a finite union of intervals. If .x0 ; y0 / 2 Gf , then, by the very definition of graph, x0 2 X and y0 D f .x0 /. On the other hand, for a fixed x0 2 X, if A1 .x0 ; y1 / and A2 .x0 ; y2 / are points on the graph of f , then, again from the definition, we have y1 D f .x0 / D y2 ; so that A1 D A2 . In short, for a given x0 2 X, the vertical line x D x0 of the cartesian coordinate system intersects the graph of f if and only if x0 2 X; moreover, in this case such a line intersects the graph in exactly one point. Thus, the subset C depicted in Fig. 6.5 as a continuous curve doesn’t represent the graph of any function f W Œ3; 3 ! R, since every vertical line contained in the gray strip intersects C in more than one point. The graph of a real function of a real variable gives a quite simple geometric interpretation for the image of the function. To discuss it, let’s consider the cartesian plane of Fig. 6.6, in which the graph of a function f W Œa; b/ ! R is drawn and its points of intersection with the horizontal line y D y0 are marked. (There are three such points in Fig. 6.6, whose abscissas are denoted by ˛, ˇ and  .) Let .x0 ; y0 / be 7 We refer the reader to Chapter 6 of [4] for an adequate presentation of cartesian coordinate systems.

186

6 The Concept of Function

y

(3, 0) x

O

(−3, 0)

C Fig. 6.5 A subset of the cartesian plane which is not the graph of a function

Gf

y

y = y0 a α

β

γ b

x

Fig. 6.6 Image  graph

an intersection point of the line and the graph. By pertaining to the graph of f , the point .x0 ; y0 / must be such that x0 2 Œa; b/ and f .x0 / D y0 , so that x0 D ˛, ˇ or  . Conversely, let be given a point .x0 ; y0 / of the cartesian plane, with x0 2 Œa; b/. It is clear that .x0 ; y0 / belongs to the horizontal line y D y0 ; moreover, if x0 is a solution of the equation f .x/ D y0 , i.e., if f .x0 / D y0 , then x0 D ˛, ˇ or  and we also have .x0 ; y0 / 2 Gf . Therefore, the horizontal line y D y0 intersects the graph of f exactly when y0 belongs to the image of f . The reasoning for an arbitrary function f W X ! R, with X  R, is entirely analogous and allow us to conclude that The image of f is precisely the set of y0 2 R for which the horizontal line y D y0 intersects the graph of f :

6.6 Graphs of Functions

187

y Gf

x0 a

b

x y = y0

Fig. 6.7 Minimum point of f W I ! R

Now, if I  R is an interval, then the monotonicity of a function f W I ! R also says a lot about the behavior of its graph. For instance, if we suppose that f increases (resp. decreases) in I, we conclude that, as long as the x increases in I, the values f .x/ increase (resp. decrease) in R, so that the graph of f rises (resp. falls). On the other hand, if y0 2 R is the minimum value of f W I ! R and x0 2 I is a minimum point of f (cf. Definition 6.24), then, for every x 2 I, the point .x; f .x// is above or coincides with the point .x; y0 / (cf. Fig. 6.7). Yet in another way, the graph of f is entirely contained in the closed upper halfplane determined by the horizontal line y D y0 , touching it at the point .x0 ; y0 /. Notice that the concepts of maximum value and maximum point of a function f W I ! R admit geometric interpretations analogous to those discussed above. In the rest of this section we shall examine some important examples of graphs of functions. Example 6.58 Let f W R ! R be a constant function, with f .x/ D c for every x 2 R. The graph of f is the set Gf D f.x; y/I x 2 R and y D cg D f.x; c/I x 2 Rg; i.e., it is the horizontal line y D c, which crosses the vertical axis at the point .0; c/ (cf. Fig. 6.8, where we consider the case c > 0). Example 6.59 Recall (cf. Definition 6.2) that the identity function IdR W R ! R is given by IdR .x/ D x, for every x 2 R. Therefore, its graph is the set G IdR D f.x; y/I x 2 R and y D xg D f.x; x/I x 2 Rg: It is an easy exercise in euclidean geometry to verify that the points of the cartesian plane of the form .x; x/ or .x; x/ are precisely those situated on the bisectors of the angles formed by the coordinate axes, those of the form .x; x/ belonging to the first

188

6 The Concept of Function

y

Gf

(0, c)

x

O

Fig. 6.8 Graph of the constant function f .x/ D c; 8 x 2 R

y G IdR (0, a)

(a, a)

(a, 0)

x

Fig. 6.9 Graph of the identity function IdR

or third quadrants. Hence, the graph of the identity function IdR is the line shown in Fig. 6.9, and, from now on, will be called the bisector of odd quadrants. Observe that the set of points of the form .x; x/, i.e., the bisector of even quadrants, is the graph of the function f W R ! R given by f .x/ D x. Example 6.60 The modular function is the function f W R ! R given by f .x/ D jxj. It follows immediately from the definition of modulus of a real number that Gf D f.x; jxj/I x 2 Rg D f.x; jxj/I x 2 RC g [ f.x; jxj/I x 2 R g D f.x; x/I x 2 RC g [ f.x; x/I x 2 R g: Since the points .x; x/ and .x; x/ are symmetric with respect to the horizontal axis, the graph of the modular function is obtained by reflecting, along the horizontal axis, the portion of the graph of the function IdR situated in the third quadrant (cf. Fig. 6.10).

6.6 Graphs of Functions

189

y

G|x|

(x, −x)

x (x, x)

Fig. 6.10 Graph of the modular function f .x/ D jxj

y

B(0, b) A(−b/a, 0) O

x

Fig. 6.11 Graph of the affine function f .x/ D ax C b

Example 6.61 If f .x/ D ax C b is an affine function, then its graph is the subset of the cartesian plane given by Gf D f.x; y/I x; y 2 R and y D ax C bg: According to basic analytic geometry (cf. Chapter 6 of [4], for instance), the graph of f is the  line of equation y  ax  b D 0, with slope a and passing through the points A  ab ; 0 and B D .0; b/. Fig. 6.11 depicts the graph of f .x/ D ax C b in the case a; b > 0. For what comes next, recall (cf. Chapter 6 of [4], for instance) that, given in the plane a point F and a line d, with F … d, the parabola of focus F and directrix d (cf. Fig. 6.12) is the locus of the points P in the plane for which PF D dist.P; d/;

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6 The Concept of Function

Fig. 6.12 Parabola of focus F and directrix d

P F V d

where dist.P; d/ stands for the distance from P to d. The axis of the parabola is the line that passes through F and is perpendicular to d, while its vertex is the point V where it intersects its axis. We now show that the graph of every quadratic function is a parabola. More precisely, we have the following result. Theorem 6.62 Given a; b; c 2 R, with a ¤ 0, the graph of the quadratic function b f .x/ D ax2 CbxCc is the parabola whose axis is the line x D  2a and whose vertex  b   is V  2a ;  4a . Moreover, it “opens upwards” if a > 0, and “opens downwards” if a < 0. Proof Let’s look for x0 ; y0 ; k 2 R such that y0 ¤ k and, letting F.x0 ; y0 / and d be the line y D k, we have P 2 Gf ” PF D dist.P; d/: To this end, set P.x; y/. We first notice that P 2 Gf ” y D ax2 C bx C cI also, the formula for the distance between two points of the cartesian plane gives PF D dist.P; d/ ”

p .x  x0 /2 C .y  y0 /2 D jy  kj:

Therefore, we want to find x0 , y0 and k such that y D ax2 C bx C c , .x  x0 /2 C .y  y0 /2 D .y  k/2 ,yD

x2 C y20  k2 1 x0 x2  xC 0 : 2.y0  k/ y0  k 2.y0  k/

6.6 Graphs of Functions

191

Hence, it is natural to try to solve, with respect to x0 , y0 and k, the system of equations 1 D a; 2.y0  k/



x0 D b; y0  k

x20 1 C .y0 C k/ D c: 2.y0  k/ 2

b ; then, This, in turn, is immediate: the first two equations readily give x0 D  2a substituting the first equation and the value of x0 into the third equation, it comes that     b2 1  D2 c 2 a D I y0 C k D 2 c  x20  2.y0  k/ 4a 2a

finally, by solving the system of equations y0  k D

1  ; y0 C k D  ; 2a 2a

1C we get y0 D 1 4a and k D  4a . To what was left to prove, since the vertex of the parabola is the intersection of b the line x D  2a with the graph, its ordinate y equals

     b b 2 CcD : Cb  yDa  2a 2a 4a t u We finish this section with the coming proposition, which establishes an important relation between the graphs of a bijection and its inverse. Then, we use it to sketch the graphs of two important functions. Proposition 6.63 Let I; J  R be finite unions of interval. If f W I ! J is a bijection, then the graphs of f and f 1 are symmetric with respect to the bisector of the odd quadrants of the cartesian plane. Proof Fix a 2 I and b 2 J. From the definition of inverse function, we have .a; b/ 2 Gf , b D f .a/ , a D f 1 .b/ , .b; a/ 2 Gf 1 : However, since the points .a; b/ and .b; a/ are symmetric with respect to the line y D x, there is nothing left to do. t u

192

6 The Concept of Function

y

g

f

O x

Fig. 6.13 Sketching the graph of x 7!

p x

Example 6.64 Sketch the graph of the square root function f W Œ0; C1/ ! Œ0; C1/ p : x x 7! Solution We saw at Example 6.49 that f is the inverse of g W Œ0; C1/ ! Œ0; C1/, given by g.x/ D x2 for every x 2 Œ0; C1/. Since we already know the graph of g, it follows from the previous proposition tha the graph of f is the symmetric of the graph of g with respect to the line y D x (cf. Fig. 6.13). t u Example 6.65 Recall that the inverse proportionality function is f W R n f0g ! R n f0g, such that f .x/ D 1x , for every x 2 R n f0g. With the previous discussion at our disposal, we can accurately sketch its graph. Indeed, f is clearly decreasing in .0; C1/; also, we already know from the Problem 10, page 171, that f is odd, so that (this time by the Problem 5, page 193) its graph is symmetric with respect to the origin of the cartesian plane; on the other hand, since f is its own inverse, the previous proposition assures that its graph is also symmetric with respect to the bisector of the odd quadrants; finally, we will see later that its graph is a continuous curve (i.e., one with no interruptions) which “opens upwards” in .0; C1/. Since it is intuitively clear (and will be formalized later) that f .x/ D 1x becomes more and more close to zero as long as x increases without bound, we arrive at the sketch shown  in Fig. 6.14. There, besides the above remarks, we plotted the auxiliary points n; 1n , for 1  n  4 integer.

6.6 Graphs of Functions

193

y y=x

O x

Fig. 6.14 Sketching the graph of f .x/ D

1 x

Problems: Section 6.6 1. If f W Œ2; C1/ ! Œ1; C1/ is given by f .x/ D x2  4x C 5, show that f is a bijection and find the intersection points of the graphs of f and f 1 . For the next problem, given a nonempty set X and a function f W X ! R, we say that f is bounded if there exists M > 0 such that jf .x/j  M, for every x 2 X. 2. * Let I  R be an interval and f W I ! R be a given function. If f is bounded, prove that its graph is contained in a horizontal strip of the cartesian plane bounded by two parallel lines. 3. * If I  R is an interval and f W I ! I is a given function, show that the fixed points of f are the abscissas of the intersection points of the graph of f with the bisector of the odd quadrants. 4. * Let I  R be an interval and f ; g W I ! R be given functions. Explain how to analytically identify the intersection points of the graphs of f and g. For the next problem, we think the reader will find it useful to read again the statement of Problem 10, page 171. 5. * Let I  R be a union of intervals, symmetric with respect to 0 2 R, and f W I ! R be a given function. (a) If f is even, prove that Gf is symmetric with respect to the vertical axis. (b) If f is odd, prove that Gf is symmetric with respect to the origin. 6. In each of the following items, sketch the graphs of the given real functions of a real variable in a single cartesian system:

194

6 The Concept of Function

(a) f1 .x/ D x2 , f2 .x/ D x4 and f3 .x/ D x3 . (b) f1 .x/ D x, f2 .x/ D x3 and f3 .x/ D x5 .

p 7. Sketch the graph of the function f W R ! R such that f .x/ D 3 x, for every x 2 R. 8. Sketch the graph of the integer part function bc W R ! R (cf. Problema 9, página 152). For the next problem, we think the reader may find it useful to read the statement of Problem 15, page 171 again. 9. * Do the following items: (a) If f W R ! R is periodic of period p > 0, explain how to draw the graph of f by knowing the portion of it in the interval 0  x < p. (b) Use item (a) to sketch the graph of the fractional part function f g W R ! R (cf. Problem 10, page 152). 10. * Let f W R ! R be a given function and a ¤ 0 be a given real number. Prove that the graph of: (a) g.x/ D f .x C a/ is obtained by translating the graph of f of a units in the direction of the horizontal axis. (b) g.x/ D f .x/ C a is obtained by translating the graph of f of a units in the direction of the vertical axis. (c) g.x/ D f .x/ is obtained by reflecting the graph of f along the horizontal axis. (d) g.x/ D f .x/ is obtained by reflecting the graph of f along the vertical axis. (e) g.x/ D af .x/ is obtained by vertically stretching (resp. compressing) the graph of f by a factor a, if a > 1 (resp. 0 < a < 1). (f) g.x/ D f .ax/ is obtained by horizontally stretching (resp. compressing) the graph of f by a factor a, if a > 1 (resp. 0 < a < 1). 11. * Use the results of the previous problem to sketch the graph of the function x f W R n f2g ! R given by f .x/ D 2x , for every x 2 R n f2g. 12. Let I be an interval and f W I ! R be a given function. Which relation does exist between the graphs of f and of the function g W I ! R, given by g.x/ D jf .x/j? Apply your conclusion, together with the result of Problem 10, to sketch the graphs of the functions listed below: (a) (b) (c) (d)

1 g.x/ D jxC1j , for every x 2 R n f1g. 2 g.x/ D jx  4j, for every x 2 R. g.x/ D jx2  jx C 2j C 2j, for every x 2 R. 1 g.x/ D 1  .x2/ 2 , for every real x ¤ 2.

13. Prove that the graph of the inverse proportionality function is obtained by a trigonometric (i.e., counterclockwise) rotation, of 4 radians, of the hyperbola8 of equation x2  y2 D 2. 8 For the necessary background on the equation of hyperbolas, we refer the reader to Chapter 6 of [4], for instance.

6.7 Trigonometric Functions

195

6.7 Trigonometric Functions The sine function is the function sin W R ! R, that associates to each x 2 R the sine of an arc of x radians9 : sin W R ! R : x 7! sin x Analogously, we define the cosine function by cos W R ! R ; x 7! cos x where cos x stands for the cosine of an arc of x radians. Some basic properties of the sine and cosine functions are collected in the following proposition, for which the reader may find it useful to recall the statements of Problem 15, page 171, and Problem 10, page 171. Proposition 6.66 Sine and cosine functions have image Œ1; 1 and are periodic of period 2. Furthermore, sine function is odd, whereas cosine function is even. Proof Immediate from basic Trigonometry.

t u

According to the above proposition and the discussion contained in Problem 15, page 171, in order to get an accurate sketch of the graph of the sine function, it suffices to make it in the interval Œ; , then copying this portion of the graph to each interval of the form Œ C 2k;  C 2k, where k 2 Z. On the other hand, since the sine function is odd, in order to get its graph in the interval Œ; , it suffices to sketch it in the interval Œ0; ; once this is done, then, reflecting it across the origin of the cartesian plane, we obtain (from item (c) of Problem 10, page 171) the graph in the interval Œ; . We shall prove in Section 8.1 (cf. Example 8.8) that the graph of the sine function is a continuous curve, i.e., a curve with interruptions. On the other hand, in Section 9.7 we shall show (cf. Example 9.66) that such a graph “ opens downwards” in the interval Œ0; . For the time being, by assuming the validity of these facts, we can finally sketch the graph of the sine function. Example 6.67 Gathering together the above information on the behavior of the sine function in the inteval Œ0;  (image, periodicity, together  continuity and  concavity),   with the fact that it is increasing in 0; 2 , decreasing in 2 ;  and such that sin.  x/ D sin x for every x 2 R, we conclude that, in order to get a reasonably accurate sketch of its graph  in that interval, we just need to compute the values of sin x for some values x 2 0; 2 . This is done in the table below: For the necessary background on Trigonometry for this section, we refer the reader to Chapter 7 of [4]. 9

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6 The Concept of Function

Fig. 6.15 Graphs of the sine and cosine functions

y 1

−π

− π2

π 2

0

π

x

−1

 6

0 0



4 p 2=2

1=2



3 p 3=2

 2

1

With all this at hand, we immediately get Fig. 6.15, first on the interval Œ0; , then on the interval Œ;  and finally on R. We now recall one more piece of basic Trigonometry, which assures that   cos x D sin x C 2 for every x 2 R. Hence, item (a) of Problem 10, page 194, guarantees that, once the graph of the sine function is drawn, we can get a corresponding sketch for the graph of the cosine function by translating the graph of the sine function of  2 in the direction of the horizontal axis. In Fig. 6.15, the graph of the cosine function in the interval Œ;  is given by the dashed curve contained in the strip of the cartesian plane bounded by the (also dashed) lines y D 1 and y D 1. Let us now look at a relevant application of the Ptolemy’s formulae for the sine and cosine of the sum and difference of two arcs, which tells us how to proceed to study a function given as a linear combination of the sine and cosine functions. Example 6.68 Given positive integers a and b, let f W R ! R be the function such that f .x/ D a cos x C b sin x; for every x 2 R. Writing a cos x C b sin x D

  p a b a2 C b2 p cos x C p sin x ; a2 C b2 a2 C b2

we notice that  p

a a2 C b2

2

 C

b

p a2 C b2

2

D 1:

6.7 Trigonometric Functions

197

Fig. 6.16 Defining angle ˛

α

√ a2 + b 2

a

b  Therefore, point P p 2a 2 ; p 2b 2 belongs to the portion of the trigonometric a Cb a Cb circle situated in the first quadrant, so that there exists a real number ˛ 2 .0; 2 / for which a cos ˛ D p a2 C b2

and

sin ˛ D p

b a2 C b2

(cf. Fig. 6.16). Now, it follows from the formula for the cosine of a difference that f .x/ D a cos x C b sin x p D a2 C b2 .cos ˛ cos x C sin ˛ sin x/ p D a2 C b2 cos.x  ˛/:

(6.15)

In particular, since j cos.x  ˛/j  1, we get jf .x/j D

p p a2 C b2 j cos.x  ˛/j  a2 C b2 ;

and it’s not difficultp to use (6.15) to prove that the image of f is precisely the interval Œc; c, where c D a2 C b2 (in this respect, see Problem 3). We close this section with an elementary study of the tangent function, i.e., the sin x function that associates, to each real x in its domain, the real number tan x D cos x. Since cos x D 0 , x D

 C k; 9 k 2 Z; 2

the (maximal) domain of definition of the tangent function is the set DDRn

n 2

o C kI k 2 Z ;

so that the function we wish to study is tan W D ! R : x 7! tan x

198

6 The Concept of Function

For x 2 D, we have tan.x C / D

 sin x sin.x C / D D tan x; cos.x C /  cos x

and it’s immediate to verify that there doesn’t exist a real number 0 < p <  such that tan.x C p/ D tan x for every x 2 D. Therefore, the tangent function is periodic of period . Furthermore, since D is a subset of R which is symmetric with respect to 0 and tan.x/ D

sin.x/  sin x D D  tan x cos.x/ cos x

for every x 2 D, we conclude that the tangent function is odd. From what was collected above, in order to sketch the graph of the tangent  function it suffices to do it on the interval 0; 2 . Indeed, the odd character of   the tangent function assures that its graph on the interval  2 ; 0 is obtained by reflecting, the origin of the cartesian system, the portion of it on   around the interval 0; 2 . On the other hand, since we have sketched the desired graph   on the interval  2 ; 2 , the periodicity of the tangent function will allows us to  sketch the graph of it on all intervals of the form  2 C k; 2 C k , with k 2 Z:   it suffices to translate the graph on the interval  2 ; 2 of k units in the direction of the horizontal axis, for every k 2 Z. In Section 8.1 (cf. Problem 5, page 254),  we shall  prove that the graph of the tangent function, restricted to the interval  2 ; 2 , is a continuous curve, i.e., a curve without interruptions. On the other hand, in Section 9.7 (cf. Example  9.66) we shall establish the fact that the graph “opens upwards” on the interval 0; 2 . For the time being, assuming the validity of these statements and in view of the discussion on the previous paragraphs, we can sketch the graph of the tangent function by tabulating some values of it on the interval 0; 2 . The result is approximately that of Fig. 6.17.

Problems: Section 6.7 1. * The purpose of this problem is to introduce the inverse trigonometric functions. To this end, do the following items:   (a) Show that the restriction of the sine function to the interval  2 ; 2 defines an increasing bijection (which we also  denote by sin, whenever there is no danger of confusion) sin W  2 ; 2 ! Œ1; 1; its inverse is the arc  sine, denoted arcsin W Œ1; 1 !  2 ; 2 , which is also increasing. Then, compute arcsin 12 , arcsin 1 and arcsin.1/.

6.7 Trigonometric Functions

199

Fig. 6.17 Graph of the tangent function

y

1 − π2 − π4

π 4

0

π 2

x

−1

(b) Show that the restriction of the cosine function to the interval Œ0;  defines a decreasing bijection (which we also denote by cos, whenever there is no danger of confusion) cos W Œ0;  ! Œ1; 1; its inverse is the arc-cosine, denoted arccos W Œ1; 1 ! Œ0; , which is also decreasing. Then, compute arccos 12 , arcsin 1 and arcsin.1/.   (c) Show that the restriction of the tangent function to the interval  2 ; 2 defines an increasing bijection (which  we also  denote by tan, whenever there is no danger of confusion) tan W 2 ; 2 !  R; its inverse is the arctangent function, denoted arctan W R !  2 ; 2 , which is also increasing. p Then, compute arctan 1, arctan 3 e arctan p13 . For item (a) of the next problem, recall that the cotangent of x ¤ k (k 2 Z) x 1 is the real number cot x, defined by cot x D cos sin x . In particular, cot x D tan x . 2. In each of the items below, sketch the graph of the given function: (a) (b) (c) (d)

f f f f

W R n fkI k 2 Zg !  R, given by f .x/ D cot x. W Œ1; 1 !  2 ; 2 , given by f .x/ D arcsin x. W Œ1; 1 ! Œ0;, given by f .x/ D arccos x. W R !  2 ; 2 , given by f .x/ D arctan x.

3. * Let a and b given real numbers, not both zero, and f W R ! R be the function given by f .x/ D a cos x C b sin x: (a) Find the image set of f . (b) Prove that f is periodic of period 2. (c) Sketch the graphs of f and of the sine function in a single cartesian coordinate system.

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6 The Concept of Function

4. * Let a and b be given real numbers, at least one of which is nonzero, and f W R ! R be the function given by f .x/ D a cos.x/ C b sin.x/; where  is a nonzero real number. Show that f is periodic and compute its period. 5. Let f W R ! R be the function given by f .x/ D 2 sin x C cos.2x/. (a) Compute the maximum and minimum values of f , as well as the real numbers x for which f attains these values. (b) Show that f is periodic, of period 2. (c) Sketch the graph of f . x . 6. (Canada) Compute the number of real solutions of the equation sin x D 10 7. Find the maximum value attained by the function f W Œ1; 1 ! R, given by p f .x/ D 3x C 4 5  x2 . 8. (New Zealand) Let ˛ be a given irrational number. Prove that the function f W R ! R, defined by

f .x/ D cos x C cos.˛x/; for every x 2 R, is not periodic. 9. Find all integer values of n for which the function f W R ! R, given for x 2 R by  f .x/ D cos .nx/ sin

 5x ; n

is periodic of period 3. 10. (Canada) Prove that the function f W R ! R given by f .x/ D sin.x2 / is not periodic.

Chapter 7

More on Real Numbers

This chapter proceeds with the study of real numbers by presenting the notion of convergence for (infinite) sequences and series of real numbers. Among other applications, we shall introduce one of the two most important numbers of Mathematics,1 the number e. We shall also present a famous result of Kronecker on dense subsets of the real line, which will find several interesting applications, here and in the coming chapters.

7.1 Supremum and Infimum We begin this chapter by examining the completeness of R from another viewpoint, for which we need to introduce some preliminary concepts. A nonempty subset X  R is bounded from above if there exists a real number M such that X  .1; M: In this case, we also say that M is an upper bound for X. Similarly, a nonempty set X  R is bounded from below if there exists a real number m such that X  Œm; C1/: In this case, we say that m is a lower bound for X. Finally, a nonempty set X  R is bounded if X is simultaneously bounded from above and from below.

As the reader probably suspects, the other one is the number , which is defined as the numerical value of the area of a circle of radius 1—see [4], for instance.

1

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_7

201

202

7 More on Real Numbers

Yet in another way, a nonempty set X  R is bounded (resp. bounded from above, bounded from below) if there exists a positive real number a such that a  x  a .resp. x  a; x  a/; 8 x 2 X: On the other hand, a nonempty set X  R which is not bounded (resp. not bounded from above, not bounded from below) is said to be unbounded (resp. unbounded from above, unbounded from below). In this case, given any positive real number a, one can always find an element x 2 X such that x … Œa; a .resp. x > a; x < a/: Examples 7.1 (a) The set X D f1; 12 ; 13 ; 14 ; : : :g is bounded. Indeed, 0 is a lower bound and 1 is an upper bound for X. (b) Bounded intervals (cf. Definition 1.10 and subsequent discussion) are bounded sets, in the sense of the above discussion. Example 7.2 If a nonempty set X  R is bounded from above, then the subset Y of R given by Y D fxI x 2 Xg is bounded from below, and conversely. Indeed, a real number a is an upper bound for X if and only if a is a lower bound for Y. In spite of its apparent obviousness, we shall list our next example as an axiom of the natural number system, known as its archimedian property, after the Greek mathematician Archimedes of Syracuse.2 Some important consequences of it are collected in Problems 2, 3 and 4, page 206. Axiom 7.3 The set N of natural numbers is unbounded from above. Continuing with the development of the theory, fix a bounded from above nonempty set X  R. If M 2 R is an upper bound for X, then X  .1; M. Nevertheless, it may happen that there exists M 0 < M which still is an upper bound for X, i.e., is such that X  .1; M 0 . Indeed, the condition X  .1; M doesn’t guarantee that, for M 0 < M, we have X \ .M 0 ; M ¤ ;; if it happens that X \ .M 0 ; M D ;, then we will have X  .1; M 0 , and M 0 will be another upper bound for X, which is less than M. On the other hand, given x 2 X, it is obvious that no M 0 < x is an upper bound for X, since x 2 X n .1; M 0 , i.e., X 6 .1; M 0 . To put in another way, the set of upper bounds of a nonempty, bounded from above set X  R is bounded from below.

2

Archimedes, who lived in the III century b.C., was the greatest scientist of his time. Among many important contributions to Mathematics and Physics, his seminal ideas on how to compute the area under a parabolic segment anticipated, in some 2000 years, the development of the Integral Calculus by Newton and Leibniz.

7.1 Supremum and Infimum

203

As we shall see later (cf. Problem 9, page 242), the completeness of R, as postulated in Sect. 1.3, is a consequence of the following statement, which sharpens the discussion of the two previous paragraphs and will be taken as an axiom. Axiom 7.4 If a nonempty set X  R is bounded from above, then there exists a real number M satisfying the two following properties: (a) M is an upper bound for X. (b) If M 0 < M, then M 0 is not an upper bound for X. In the hypotheses and notations of the previous axiom, a moment’s thought shows that there exists at most one real number M satisfying the properties there stated. Indeed, if two distinct real numbers M1 and M2 did the job, suppose, without loss of generality, that M1 < M2 . Then, on the one hand, item (a) would guarantee that M1 and M2 are upper bounds for X; on the other, since M1 < M2 , item (b) would guarantee that M1 is not an upper bound for X. Yet in the hypotheses and notations of the axiom, the discussion of the last paragraph allows us to say that M is the least upper bound or supremum of X. We denote M D sup.X/ or M D lub.X/. Examples 7.5 (a) The set X D f1; 12 ; 13 ; 14 ; : : :g has 1 as an upper bound. On the other hand, since 1 2 X, no real number less that 1 can be an upper bound of X, so that sup.X/ D 1. (b) If X D .1; 2/ (an open interval), then 2, but no real number less than 2, is an upper bound for X. Indeed, if 1 < a < 2, then the number 1Ca is also greater 2 1Ca 1Ca than 1 and less than 2, so that 2 2 X. Now, since a < 2 2 X, the number a cannot be an upper bound for X. Therefore, sup.X/ D 2, and observe that 2 … X. If ; ¤ Y  R is bounded below, then one can prove, as an easy consequence of Theorem 7.4 (cf. Problem 6), that Y admits a greatest lower bound m, which is also said to be an infimum of Y. As in the case of nonempty, bounded above sets, one can easily prove that a nonempty, bounded below set Y has a unique greatest lower bound m; hence, we denote m D inf.Y/ or m D glb.Y/. For future use, the coming results collect some useful properties of the notions of sup and inf. Proposition 7.6 Let X  R be a nonempty, bounded above set, and M D sup.X/. If n 2 N, then there exists x 2 X such that M

1 < x  M: n

Proof Since M is the least upper bound of X and M  1n < M, the real number M  1n is no longer an upper bound of X. Hence, there exists x 2 X such that x > M  1n . However, since X  .1; M, we must also have x  M. t u

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7 More on Real Numbers

Problem 10 states an analogous result for the greatest lower bound of nonempty, bounded below sets. Proposition 7.7 Let X; Y  R be nonempty sets. If x  y for all x 2 X and y 2 Y, then X is bounded above, Y is bounded below and sup.X/  inf.Y/: Proof Fix y 2 Y arbitrarily. Since x  y for all x 2 X, the number y is an upper bound for X. Hence, X is bounded above and, letting M D sup.X/ (the least upper bound of X), we have M  y. Since y 2 Y was arbitrarily chosen, the reasoning of the previous paragraph shows that, for all y 2 Y, we have M  y. Therefore, M is a lower bound for Y, so that Y is bounded below and, letting m D inf Y (the greatest lower bound of Y), we have M  m. t u The next result gives a sufficient condition for equality to happen in the previous proposition. Proposition 7.8 Let X; Y  R be nonempty sets, such that X is bounded above, Y is bounded below and sup X  inf Y. If, for every n 2 N, there exist xn 2 X and yn 2 Y satisfying yn  xn < 1n , then sup.X/ D inf.Y/. Proof Let M D sup.X/, m D inf.Y/ and suppose that M < m. Since x  M < m  y for all x 2 X and y 2 Y, we would have y  x  m  M, for all x 2 X and y 2 Y. 1 On the other hand, by choosing a natural number n > mM (which is possible, thanks to Axiom 7.3), our hypotheses would guarantee the existence of real numbers xn 2 X and yn 2 Y such that yn  xn
1, there exists a unique positive real number y such that yn D x. Proof Let’s consider just the case x > 1, referring the reader to Problem 1 for the case 0 < x < 1 and observing that the case x D 1 is trivial. If X D fa 2 RI a  0 and an < xg;

7.1 Supremum and Infimum

205

then X is nonempty, since 0 2 X. Also, X is bounded above, for, if ˛  x C 1, then Problem 6, page 176, together with item (b) of Corollary 1.3, guarantees that ˛ n  .x C 1/n > x C 1 > x; therefore, ˛ … X and, thus, X  .1; x C 1/. Being nonempty and bounded above, X has a least upper bound, say y. Since 1n D 1 < x, we have 1 2 X and, thus, y  1. We shall show that yn D x in the following way: (i) If yn < x, we shall obtain a positive real number z such that yn < zn < x. Then, the first inequality will give y < z, whereas the second (with the aid of the result of Problem 6, page 176) z 2 X. Therefore, we will get y < z 2 X, thus contradicting the fact that y is an upper bound for X. (ii) If yn > x, we shall obtain a positive real number z for which x < zn < yn . Then, taking an arbitrary a 2 X, it will follow from an < x < zn < yn (again by the result of Problem 6, page 176) that a < z < y, so that z will be an upper bound for X which is less than y. This will contradict the fact that y is the least upper bound for X. Once we have proved that yn < x and yn > x both lead to contradictions, the only possibility left will be yn D x. For the proof of (i), suppose yn < x. If z D y C 1k , with k 2 N, then, once more by the result of Problem 6, page 176, we have yn < zn . We assert that zn < x for all sufficiently large k. Indeed, the binomial formula (cf. Theorem 4.20) gives !   n X 1 n n 1 nj n n z D yC Dy C y I k j kj jD1 however, since

n j

< 2n ,

1 kj


x. Letting z D y  k , with k 2 N, then, as in the previous paragraph anterior, we have yn > zn . We claim that zn > x for all sufficiently large k. To this end, arguing as above we have ! n  n X 1 n 1 nj zn D y  D yn C .1/j y k j kj jD1 ! n X n.2y/n n 1 nj n n I >y  y > y  k j kj jD1 hence, zn > x whenever yn 

n.2y/n k

> x, i.e., k >

n.2y/n . yn x

t u

For another, conceptually simpler, proof of the above theorem, we refer the reader to Example 8.36.

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Problems: Section 7.1 1. * Yet in respect to roots of positive real numbers, do the following items: (a) If 0 < x < 1 and n > 1 is natural, show that the real number 1 x

1 p n 1=x

(whose

existence is guaranteed by Theorem 7.9, since > 1) is the n-th root of x. p p n a p p p (b) Given a; b > 0 and m; n > 1 naturals, show that n ab D n a n b, n ab D p n b p p p m n mn and aD a. p p (c) Given 0 < a < b and n > 1 natural, show that n ap < n b.p (d) Given ap> 0 and m > n > 1 naturals, show that m a > n a if a > 1, and p m a < n a if 0 < a < 1. p (e) Let x < 0 be a real number and n 2 N be odd. If y D  n x, show that yn D x (the real number y is also called the n-th root of x) and extend the properties of items (b)–(d) to this case. 2. * Use the archimedian property of the set of natural numbers to prove the following items: (a) If a 2 R is such that 0  a < 1n for every n 2 N, then a D 0. (b) If a; b; c 2 R, with a > 0, then there exists n 2 N for which an C b > c. 3. * Let a and b be given rationals, with a < b. Prove that: ba p < b. (a) a < aCb 2 < b and a < a C 2 (b) The interval .a; b/ contains infinitely many rational numbers and infinitely many irrational numbers.

4. * The purpose of this problem is to generalize the result of the previous one, showing that between any two given real numbers there is always a rational number and an irrational number (thanks to these properties, we say that Q and R n Q are dense in R). To this end, let a and b be given real numbers, with a < b. (a) Show that it suffices to consider the case a  0. p (b) Prove that there exists n 2 N such that 0 < 1n < b  a and 0 < n2 < b  a. (c) Letting a  0 e n 2 N be chosen as in (b), show that one of the numbers p p p 2 2 2 3 2 1 2 3 ; ; ; : : : and one of the numbers ; ; ; : : : belong to the interval n n n n n n .a; b/. 5. * A rational number r 2 Œ0; 1 is said to be dyadic if there exist k; n 2 Z such that 0  n  2k and r D 2nk . Prove that the set of dyadic rationals is dense in Œ0; 1, i.e., that for every a 2 Œ0; 1 and  > 0, there exists a dyadic rational in the interval .a  ; a C /. 6. * If Y  R is nonempty and bounded below, prove that it has a greatest lower bound. 7. Let X D fx 2 QI 0 < x < 1g and Y D fy 2 R n QI 0 < y < 1g. Prove that inf.X/ D inf.Y/ D 0 and sup.X/ D sup.Y/ D 1:

7.1 Supremum and Infimum

207

p p 8. If X D fj a  bjI a; b 2 N and a ¤ bg, compute inf.X/. 9. Let C1 D .0; 1/ C2 D .0; 1/ n .1=3; 2=3/ D .0; 1=3 [ Œ2=3; 1/ C3 D ..0; 1=3 n .1=9; 2=9// [ .Œ2=3; 1/ n .7=9; 8=9/ D .0; 1=9 [ Œ2=9; 1=3 [ Œ2=3; 7=9 [ Œ8=9; 1/: More generally, for each n 2 N, obtain CnC1 from Cn , by S erasing the open middle third of each of the intervals that form Cn . If C D n1 Cn , show that inf.C/ D 0 and sup.C/ D 1. 10. * Let Y  R be a nonempty, bounded below set, with m D inf Y. If n 2 N, prove that there exists y 2 Y such that 1 my 0, then sup.cX/ D c sup.X/. (b) If c < 0, then cX is bounded below and inf.cX/ D c sup.X/. Then, if X is bounded below, establish properties analogous to the ones listed above, relating inf X to the sup or the inf of cX, according to whether c < 0 or c > 0. 13. * Let X; Y  R be nonempty sets and X C Y D fx C yI x 2 X and y 2 Yg. (a) If X and Y are bounded above, prove that X C Y is bounded above and sup.X C Y/ D sup.X/ C sup.Y/. (b) If X and Y are bounded below, prove that X C Y is bounded below and inf.X C Y/ D inf.X/ C inf.Y/. 14. * Let X; Y  Œ0; C1/ be nonempty, bounded above sets. If XY D fxyI x 2 X and y 2 Yg, prove that XY is bounded above and such that sup.XY/ D sup.X/  sup.Y/ and inf.XY/ D inf.X/  inf.Y/. 15. (Hungary) Let .Rn /n1 be a sequence of pairwise distinct rectangles in the cartesian plane, each of which having all vertices with integer coordinates and two sides along the axes. Prove that one can find two of them such that one contains the other. 16. (IMO) Let f ; g W R ! R be functions satisfying, for all x; y 2 R, the relation f .x C y/ C f .x  y/ D 2f .x/g.y/: If f is not identically zero and jf .x/j  1 for every x 2 R, prove that jg.x/j  1, for every x 2 R.

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7.2 Limits of Sequences Given a sequence .an /n1 of real numbers, we are interested in recognizing whether or not their terms are approaching a certain real number l, as n increases. For instance, if an D 1n , it is reasonable to say that the numbers an become closer and closer to 0 as n increases, since the result of the division of 1 by n is increasingly smaller as n increases. This naive point of view is formalized as follows. Definition 7.10 A sequence .an /n1 of real numbers converges to a real number l if, given an error  > 0 for the value of l, there exists an index n0 2 N such that jan  lj <  for every n > n0 . Alternatively, if the sequence .an /n1 converges to l, we say that it is convergent and that l is a limit of the sequence, which we denote by writing n

an ! l or

lim an D l:

n!C1

Finally, a sequence which is not convergent is said to be divergent. In general, if we diminish the error  > 0 and the condition “jan  lj <  for every n > n0 ” is to continue holding, then the natural number n0 in the definition of convergent sequence tends to increase. In other words, in general n0 depends on  > 0. Anyhow, what is important to assure the convergence of the sequence .an /n1 is that, for an arbitrarily given error  > 0, we are capable of finding n0 2 N such that n > n0 ) jan  lj < : For the reader to get used to the important concept of convergent sequence, we collect below some elementary examples of convergent and divergent sequences. Examples 7.11 n

(a) If an D 1n , then an ! 0: indeed, for a given  > 0, we have jan  0j <  provided n > 1 ; thus, once we have chosen n0 2 N such that n0 > 1 , we will have jan  0j <  whenever n > n0 . (b) If an D .1/n , then .an /n1 is divergent: indeed, since the terms of the sequence are alternately equal to 1 and 1, it is impossible for them to (collectively) become closer to a single real number l (formalize this intuition). n n , then an ! 1: this is so because jan  1j D 1n , so that (c) If an D 1 C .1/ n jan  1j <  for n > 1 . (d) If .an /n1 is a constant sequence, with an D c for every n  1, then an ! c. n

Example 7.12 If an D qn , with 0 < jqj < 1, then an ! 0. 1 1 Proof Since jqj > 1, we can write jqj D 1 C ˛, with ˛ > 0. Therefore, taking the first two terms in the binomial expansion formula, we get

1 D .1 C ˛/n  1 C n˛ jqjn

7.2 Limits of Sequences

209

and, hence, jan  0j D jqjn 

1 : 1 C n˛

Thus, if we wish that jan  0j < , it suffices to impose   n > ˛1 1  1 .

1 1Cn˛

<  or, equivalently, t u p p Example 7.13 The sequence .an /n1 , given for n  1 by an D n C 1  n, converges to 0. Proof Note that an D n0 >

1 , 42

p

1 p . nC1C n

Thus, given  > 0 and taking n0 2 N such that

we have n > n0 )

p p p p p 1 n C 1 C n > n0 C 1 C n0 > 2 n0 > : 

Therefore, 1 n > n0 ) jan  0j D p p < : nC1C n t u The notion of convergent sequence doesn’t make it clear whether the correspondent limit is unique. Yet in another way, in principle it could happen that a certain sequence converges to more than one limit. The coming result shows that this is not so. Proposition 7.14 If the sequence .an /n1 converges, then its limit is unique. Proof Let l1 and l2 be distinct real numbers, and suppose that the given sequence simultaneously converges to l1 and l2 . Toking  D 12 jl1  l2 j > 0, the definition of convergence guarantees the existence of n1 ; n2 2 N such that n > n1 ) jan  l1 j <  and n > n2 ) jan  l2 j < : Therefore, triangle inequality gives n > maxfn1 ; n2 g ) jl1  l2 j  jan  l1 j C jan  l2 j < 2 D jl1  l2 j; which is an absurd.

t u

Thanks to the previous result, from now on we speak of the limit of a convergent sequence. In this respect, the next proposition collects two basic, albeit very important, properties of limits of convergent sequences. In order to state it properly, we define a subsequence of a sequence .an /n1 as the restriction of the given sequence to an infinite subset N1 D fn1 < n2 < n3 <    g of N; in this case, we denote it by .ank /k2N . Since the function j 7! nj from N1 to N is a bijection, every subsequence can actually be seen as a sequence.

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7 More on Real Numbers

Proposition 7.15 Let .an /n1 be a convergent sequence, with limn!C1 an D l. Then: (a) If an  a (resp. an  a), for every n  1, then l  a (resp. l  a). (b) Every subsequence .ank /k1 of .an /n1 also converges to l. Proof (a) Suppose that an  a for every n  1, and let’s show that l  a (the other case is completely analogous). By contradiction, if l < a, take  D a  l > 0. The definition of convergence guarantees the existence of an index n0 2 N such that n > n0 ) jan  lj < ; in particular, given n > n0 , we have an < l C  D l C .a  l/ D a; which is an absurd. n (b) Let  > 0 be given. Since an ! l, there exists a natural number n0 such that jan  lj <  for n > n0 . Since n1 < n2 < n3 <    , there exists an index ni such that nj > n0 for j  i; hence, for all such j, we have janj  lj < , which is the k

same as saying that ank ! l.

t u

In words, item (b) of the previous proposition says that, if the terms of a certain sequence come closer and closer to l as their indices increase, then the same is true for the terms of every subsequence of the given sequence. Item (b) of the previous proposition also has the following immediate corollary, which gives us a sufficient (and quite useful) condition for the divergence of a sequence. sequência. Corollary 7.16 If two subsequences of a given sequence converge to distinct limits, then the original sequence is divergent. Up to now, except for some very simple examples we haven’t seen how one could find out the limit of a convergent sequence. In order to remedy this situation, we need to understand how to perform simple arithmetic operations with convergent sequences. We turn to this next, starting with an auxiliary result which is important in its own. We say that a sequence .an /n1 is bounded (resp. bounded from above, bounded from below) if the set fa1 ; a2 ; : : :g is bounded (resp. bounded from above, bounded from below), in the sense of the previous section. Lemma 7.17 Every convergent sequence is bounded. Proof If .an /n1 is a convergent sequence with limit l, then there exists n0 2 N such that n > n0 ) jan  lj < 1: This, together with the triangle inequality, gives n > n0 ) jan j  jan  lj C jlj < 1 C jlj:

7.2 Limits of Sequences

211

Finally, letting L D maxf1 C jaj; ja1 j; ja2 j; : : : ; jan0 1 jg, we get jan j < L for every n 2 N, so that the sequence is bounded. t u Proposition 7.18 Let .an /n1 and .bn /n1 be convergent sequences, and c be any real number. (a) (b) (c) (d)

If an If an If an If an

n

n

! a, then can ! ca. n n n n ! a and bn ! b, then an ˙ bn ! a ˙ b and an bn ! ab. n n ! 0 and .bn /n1 is bounded, then an bn ! 0. n n n ! a and bn ! b, with b; bn ¤ 0 for every n  1, then abnn ! ab .

Proof (a) If c D 0, then can D ca D 0, and there is nothing to do. Suppose, then, that n c ¤ 0, and let  > 0 be given. Since an ! a, there exists n0 2 N such that  n > n0 ) jan  aj < jcj . Hence, n > n0 ) jcan  caj D jcjjan  aj < jcj 

 D : jcj

n

(b) For the first part, let’s prove that an Cbn ! aCb (to prove that an bn ! ab n n is completely analogous). Given  > 0, the convergences an ! a and bn ! b assure the existence of n1 ; n2 2 N such that n > n1 ) jan  aj
n2 ) jbn  bj < : 2 2

Therefore, taking n > maxfn1 ; n2 g, we get j.an C bn /  .a C b/j  jan  aj C jbn  bj
0 be such that jbn j < L for every n 2 N. Given  > 0, take n0 2 N for which n > n0 ) jan  aj
0, let’s take n0 2 N such that n > n0 ) jan j
n0 ) jan bn  0j D jan jjbn j
0, choose n0 2 N such that n > n0 ) jbn  bj
n0 , we have ˇ ˇ ˇ ˇ1 ˇ  1 ˇ  1  jbn  bj D 2jbn  bj < : ˇb b ˇ jbj jbj  jbj=2 n

Example 7.19 Let a be a positive real number. If .an /n1 n every n  1, then an ! 1.

t u p is given by an D n a for

Proof If a > 1, then an > 1. Write an D 1 C bn , so that bn > 0. Since ! n a D ann D .1 C bn /n  1 C bn D 1 C nbn ; 1 we get 0 < bn < n

a1 n .

Hence, the squeezing principle (cf. Problem 6) guarantees n

that bn ! 0, and item (b) of Proposition 7.18 gives an D 1 C bn ! 1. q If 0 < a < 1, let a0n D

1 an

D

n

1 a,

n

so that a0n ! 1 by the first part. Then, item

n

(d) of Proposition 7.18 gives that an ! 1. Example 7.20 The sequence .an /n1 , given by an D to 1.

p n

t u n for every n  1, converges

Proof As in the previous example, write an D 1 C bn for n  2. Since bn > 0, we have ! ! n n 2 n.n  1/ 2 n n n D an D .1 C bn /  1 C  bn ; bn C b > 2 1 2 n

7.2 Limits of Sequences

213

so that 0 < b2n
anC1 , an  anC1 , an  anC1 ), for every n  1. The most important result on limits of sequences is the theorem below, which is known in the mathematical literature as Bolzano-Weierstrass theorem.3 Theorem 7.21 (Bolzano-Weierstrass ) Every monotonic bounded sequence is convergent. Proof Suppose that .an /n1 is a nondecreasing bounded sequence (the other cases can be dealt with similarly), i.e., that a1  a2  a3     < M; for some M > 0. Then, M is an upper bound for the set A D fa1 ; a2 ; a3 ; : : :g, so that n A has a sup, say sup A D l. We claim that an ! l. Indeed, let  > 0 be given; since l   is no longer an upper bound for A, some element of it is greater than l  , say, an0 > l  . Therefore, since an0  an0 C1  an0 C2     , we conclude that an > l   for every n  n0 . Thus, for n  n0 , we have l   < an  l < l C ; as we wished to show.

t u

The previous theorem, together with the definition of convergence, assures that if a bounded sequence is monotonic from a certain term on, then it will be convergent. We explore this comment by revisiting the last two examples. p Example 7.22 Let a be a positive real number. If .an /n1 is given by an D n a for n every n  1, then an ! 1. Proof Assume a > 1 (the case 0 < a < 1 can be dealt with as in the Example 7.19). Then, a1 > a2 > a3 >    > 1, and the Bolzano-Weierstrass theorem guarantees the existence of l D limn!C1 an  1. Item (a) of Proposition 7.15 gives l  1, and item (b) guarantees that every subsequence of .an /n1 also converges to l.

3

After Bernard Bolzano and Karl Weierstrass, German mathematicians of the XIX century.

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7 More on Real Numbers k

Therefore, ak.kC1/ ! l. Now, since ak.kC1/ D Proposition 7.18 that ak.kC1/ D

p k a p

kC1

a

, it follows from item (d) of

p k a k l p ! D 1: kC1 l a

Therefore, l D 1.

p n

t u

Example 7.23 The sequence .an /n1 , given by an D n for every n  1, converges to 1. p p p 3 Proof The initial terms ofpthe sequence are 2, 3, 4 4, . . . , and it is easy to p p p p directly show that 2 < 3 3 and 3 3 > 4 4 > 5 5. Since 2n  n2 for n  4 (by induction, for instance), we get a2  an > 1 for n  4, so that the sequence is bounded; hence, if we show that it is indeed decreasing from the third term on, its convergence will follow from Bolzano-Weierstrass theorem, with limit l  1. For what is left to do, for an integer n > 2 we have p n n>

  p 1 n n C 1 , nnC1 > .n C 1/n , n > 1 C : n

nC1

Let’s prove the last inequality above. For n D 3, n it’s immediate to check it numerically; for n > 3, it suffices to show that 1 C 1n < 3. To this end, notice that ! ! !   n 1 n 1 n 1 1 n C D1C CC 1C 2 n2 1 n n nn n and ! n 1 1 nŠ 1 n.n  1/ : : : .n  k C 1/ 1   k1 : D D < k nk kŠ.n  k/Šnk kŠ nk kŠ 2 Therefore, ! ! !   n 1 1 n n 1 n 1 C 1C D1C CC n 2 n2 1 n n nn nj and anjC1 2 IjC1 (this is possible

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7 More on Real Numbers

by the way the Ij ’s were defined). This way, we inductively construct a subsequence .ank /k1 of .an /n1 , such that ank 2 Ik for every k  1. Since jIk j D 21k jI0 j and ank ; c 2 Ik , we conclude that jank  cj  k

1 jI j, 2k 0

for every k  1; since

1 jI j 2k 0

we conclude that ank ! c.

k

! 0, t u

The concept of convergent sequence gives a precise meaning to the geometric intuition that the terms of the given sequence come closer and closer to a certain real number (the limit of the sequence), as long as their indices increase. However, it is also reasonable to expect that, if the terms of a given sequence come close together, then the sequence should also converge. This is indeed the case and, in order to establish it, we start with the following Definition 7.26 A sequence .an /n1 is said to be a Cauchy sequence if, for every  > 0, there exists n0 2 N such that m; n > n0 ) jam  an j < : The fundamental result concerning Cauchy sequences is the content of the following Theorem 7.27 A sequence .an /n1 is convergent if and only if is Cauchy. Proof Let .an /n1 be a convergent sequence, with limit l. Given  > 0, the definition of convergence guarantees the existence of n0 2 N such that  : 2

n > n0 ) jan  lj
n0 , the triangle inequality gives jam  an j  jam  lj C jan  lj
n0 . In particular, jam  an0 C1 j < 1 for every m > n0 , and the sequence has all of its terms contained in the set fa1 ; a2 ; : : : ; an0 g [ .an0 C1  1; an0 C1 C 1/; so that it is bounded. Hence, by the theorem of Bolzano-Weierstrass, the sequence k

.an /n1 has a convergent subsequence, say, ank ! l. Let us prove that, actually, n an ! l. Given  > 0, there exists N0 2 N such that nk > N0 ) jank  lj
N1 ) jam  an j
M, we have, for n > M and with the aid of the triangle inequality, jan  lj  jan  ank j C jank  lj
n0 . Hence, for n > n0 and p 2 N, we get janCp  an j < , so that .an /n1 is, indeed, a Cauchy sequence. t u

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7 More on Real Numbers

Problems: Section 7.2 1. * Let .an /n1 and .bn /n1 be convergent sequences of real numbers, with limn!C1 an D a and limn!C1 bn D b. Generalize item (a) of Proposition 7.15, showing that if an  bn for every n  1, then a  b. 2. * Let .an /n1 be a sequence of positive real numbers converging to a > 0. Show n p p that an ! a. n 3. * Given a 2 R such that jaj > 1, show that anŠ ! 0 when n ! C1. 4. Generalize the result of Example 7.12, showing that, given k 2 N and a 2 R, n k with jaj > 1, we have ann ! 0. 5. Let .an /n1 and .bn /n1 be sequences of real numbers and, for each n 2 N, let tn 2 Œ0; 1 be given. Denote by .cn /n1 the sequence defined by cn D .1  tn /an C tn bn ; n

n

for every n 2 N. If an ; bn ! l, show that cn ! l. 6. * Prove the squeezing theorem: let .an /n1 , .bn /n1 and .cn /n1 be sequences n of real numbers such that an  bn  cn , for every n 2 N. If an ; cn ! l, for n some l 2 R, show that bn ! l. 7. Compute the following limits: (a) limn!C1

p n n . n2 C1

p (b) limn!C1 . n2 C an C b  n/, with a; b 2 R. p (c) limn!C1 n 1 C qn , where 0 < q < 1 is a real number. p (d) limn!C1 n an C bn , with a and b positive reals such that a > b. 8. * This problem extends the concept of limit of sequences to consider infinite limits. We say that a sequence .an /n1 of real numbers converges to C1 (resp. 1) if, given M > 0, there exists n0 2 N such that n > n0 ) an > M (resp. an < M). In this case, we denote limn!C1 an D C1 (resp. limn!C1 an D n n 1), or simply an ! C1 (resp. an ! 1). With respect to this concept, and given sequences .an /n1 and .bn /n1 of real numbers, do the following items: n

n

(a) If an ! ˙1 and .bn /n1 is bounded, then an C bn ! ˙1. n (b) If an ! ˙1 and bn  c > 0 (resp. bn  c < 0) for every n  1, then n n an bn ! ˙1 (resp. an bn ! 1). n (c) If bn ! C1 and there exists c > 0 such that an  cbn (resp. an  cbn ) n for every n  1, then an ! ˙1. 9. Let q be a real number and .an /n1 be the sequence defined by an D qn . If n q > 1, show that an ! C1. If q < 1, show that .an /n1 does not converge to either C1 or 1.

7.2 Limits of Sequences

219 n

10. * Given positive reals a and q, with q < 1, show that an q2 ! 0. 11. (IMO shortlist) Let .an /n1 be a sequence of real numbers such that, for every m; n 2 N, we have n

jam  an j 

2mn : C n2

m2

Show that the sequence is constant. p p p by a1 D 1, a2 D 1 C 1, a3 D 1 C 2, 12. Let .an /n1 be the sequence defined r q q p p p p a4 D 1 C 1 C 2, a5 D 1 C 1 C 1 C 2, . . . . Show that .an /n1 is convergent and compute its limit. 13. (Austrian-Polish) Let .an /n1 be a sequence of positive reals, such that akC2 D

p p akC1 C ak ;

for every k  1. Prove that the sequence converges and compute its limit. 14. Let n > 1 be a given integer and t0 ; t1 ; : : : ; tn be given real numbers, such that t0 C t1 C    C tn D 0. Prove that the sequence .ak /k1 , defined by p p p ak D t0 k C t1 k C 1 C    C tn k C n converges to 0. p 15. (Romania) The sequence .xn /n1 is such that xnC1 C 2  xn  2, for every n  1. Find all possible values of x1986 . 16. (Leningrad) Let .an /n1 be a sequence of real numbers such that jam C an  amCn j 

1 ; mCn

for all m; n 2 N. Prove that the sequence is an AP. 17. (Bulgaria) For each n 2 N, let an D

nC1 2nC1



 22 2n 21 C CC : 1 2 n

Prove that the sequence .an /n2 is decreasing and convergent, and compute its limit. 18. (Romania) Let k be a fixed natural number and .an /n1 be the sequence defined by r an D with exactly n square roots.

q kC

k CC

p k;

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7 More on Real Numbers

(a) Show that .an /n1 is convergent. (b) Show that, if k is odd, then the limit of the sequence is an irrational number. (c) Find all natural values of k for which sequence converges to an integer. 19. For each positive real a, let the sequence .an /n1 be defined by a1 D 1 and akC1

  1 a ak C ; D 2 ak

p for every integer k  1. Prove that the sequence converges to a. 20. (TT) The set of natural numbers is partitioned into m disjoint, infinite and nonconstant arithmetic progressions, of common ratios d1 , d2 , . . . , dm . Prove that 1 1 1 C CC D 1: d1 d2 dm 21. (OIMU) Let c and ˛ be positive real constants4 and Q be a square in the plane. Prove that there doesn’t exist a surjection f W Œ0; 1 ! Q for which d.f .x/; f .y//  cjx  yj˛C1=2 for all 0  x; y  1, where we let d.A; B/ D AB denote the euclidean distance between the points A and B in the plane. p 22. (Turkey) Let .an /n1 be a sequence of integers such that 0 < anC1  an < an , for every natural n. Given real numbers x and y, with 0  x < y  1, prove that there exist natural numbers m and n such that x
an1 2 for infinitely many values of n.

4

Powers of a positive basis with real exponents will be defined in Sect. 10.7. For the time being, you may assume that ˛ is a positive rational, if you will.

7.3 Kronecker’s Lemma

221

7.3 Kronecker’s Lemma In this section, we apply some of the ideas exposed so far in this chapter to study the important concept of dense set, as well as to present an interesting geometric application of it. We start by recalling the following definition. Definition 7.29 Given an interval I, we say that a subset X of I is dense (in I) if, for every a 2 I and  > 0, it happens that X \ .a  ; a C / ¤ ;: Intuitively, the density of X in I means that X is spreaded all over I. Problem 4, page 206, shows that both Q and RnQ are dense in R, whereas Problem 5, page 206, shows that the set of dyadic rationals, i.e., rational numbers of the form 2nk , where n; k 2 ZC are such that 0  n  2k , is dense in Œ0; 1. A quite useful result on the density (in R) of certain of its subsets is the content of Theorem 7.31 and Corollary 7.32, which are collectively known in the mathematical literature as Kronecker’s lemma.5 The proofs we present, albeit not being the simplest ones, have the advantage of deriving from a circle of ideas which are interesting in themselves. First of all, we need yet another definition. Definition 7.30 A nonempty subset G of R is said to be an additive subgroup of R if, for all x; y 2 G, we have x  y 2 G. Evidently, f0g, Z, Q and R itself are additive subgroups of R. For a less obvious example, given real numbers x1 ; : : : ; xk , it is immediate to verify (see Problem 1) that the set Gx1 ;:::;xk D fa1 x1 C    C ak xk I a1 ; : : : ; ak 2 Zg

(7.1)

is also an additive subgroup of R. Now, let G be an arbitrary additive subgroup of R and take x 2 G. By the above definition, we have 0 D x  x 2 G. Thus, for x; y 2 G, we also have y D 0  y 2 G and, hence, x C y D x  .y/ 2 G; therefore, G is closed under the operation of addition. Hence, if ˛ 2 G, then 2˛ D ˛ C ˛ 2 G; moreover, if k˛ 2 G, for some k 2 N, then .k C 1/˛ D k˛ C ˛ 2 G, so that m˛ 2 G, for every m 2 N. Since 0˛ D 0 2 G and .k/˛ D k˛ 2 G for every k 2 N, it follows that G˛ D fm˛I m 2 Zg  G: The coming result collects two central facts on additive subgroups of R.

5

After Leopold Kronecker, German mathematician of the XIX century.

(7.2)

222

7 More on Real Numbers

Theorem 7.31 (Kronecker) Let G ¤ f0g be an additive subgroup of R, and let GC D G \ RC . (a) If inf.GC / D 0, then G is dense in R. (b) If inf.GC / D ˛ > 0, then ˛ 2 G and G D G˛ . Proof (a) Suppose inf.GC / D 0, let a 2 R and  > 0 be given. We have to show that G \ .a  ; a C / ¤ ;. Since x 2 G , x 2 G, it suffices to analyse the case a  0. If a   < 0, we have 0 2 G \ .a  ; a C / and there is nothing to do. Suppose, then, that a    0. The hypothesis inf.GC / D 0 guarantees the existence of x 2 GC such that x < 2. Letting m be the greatest nonnegative integer such that mx  a  , we claim that .m C 1/x 2 G \ .a  ; a C /. Indeed, if .m C 1/x  a C , we would have mx  a   < a C   .m C 1/x; so that x D .m C 1/x  mx  .a C /  .a  / D 2; thus contradicting the choice of x. Hence, .m C 1/x 2 .a  ; a C / \ G. (b) Suppose inf.GC / D ˛ > 0. We initially claim that ˛ 2 GC . By the sake of arriving at a contradiction, suppose that ˛ … GC . Then, the definition of infimum of a set would assure the existence of elements ˇ;  2 GC such that ˛ < ˇ <  < 2˛. However, since G is an additive subgroup of R, it would follow from here that   ˇ 2 GC , with 0 <   ˇ < 2˛  ˛ D ˛:  This contradicts the fact that ˛ D inf.GC /, ˘ thus showing that  x ˘˛ 2 GC . x  Now, take any x 2 GC and let q D ˛ and r D x  ˛ ˛ , so that q 2 ZC , 0  r < ˛ and x D q˛ C r. If r > 0, then the fact that G is an additive subgroup of R would imply r D x  q˛ 2 GC , with 0 < r < ˛. Since this contradicts the fact that ˛ D inf.GC /, we conclude that r D 0 and, hence, x D q˛ 2 G˛ . Therefore,

GC  fn˛I n 2 Ng and, since the opposite inclusion was already established in (7.2), we actually have GC D fn˛I n 2 Ng. Finally, since G D GC [ f0g [ G , where G D fxI x 2 GC g, it is immediate to see that G D fm˛I m 2 Zg D G˛ : t u In the coming corollary, we stick to the notation set forth in (7.1).

7.3 Kronecker’s Lemma

223

Corollary 7.32 (Kronecker) If ˛ is an irrational number, then the additive subgroup G1;˛ D fm C n˛I m; n 2 Zg of R is dense in R. Proof By the sake of simplicity of notation, let G D G1;˛ . By the previous theorem, in order to prove that G is dense in R, it suffices to prove that inf.GC / D 0. If this was not the case, then, once more from Kronecker’s theorem, there would exist a positive real number ˇ such that inf.GC / D ˇ > 0 and G D Gˇ . Since both ˛ and 1 C ˛ belong to G, there would exist distinct, nonzero integers m and n for which ˛ D nˇ and 1 C ˛ D mˇ: Now, since ˛ is irrational, the first equality above would give n ¤ 0 and ˇ D ˛n … Q. On the other hand, we would also have .m  n/ˇ D .1 C ˛/  ˛ D 1; 1 2 Q. so that ˇ D mn We have then reached a contradiction, which came from the supposition that G is not dense in R. Therefore, G is indeed dense in R, as we wished to show. t u

Our next corollary refines the conclusion of the previous one. Corollary 7.33 If ˛ is an irrational number, then the following sets are dense in R: (a) A D fm C n˛I m; n 2 Z and m < 0 < ng. (b) B D fm C n˛I m; n 2 Z and n < 0 < mg. Proof Without any loss of generality, we can suppose that ˛ > 0. Let’s prove item (a), the proof of item (b) being totally analogous. Given a 2 R and  > 0, we want to establish the existence of x 2 A such that a   < x < a C . Suppose that a    0 (the remaining cases are entirely analogous), and let ı D minf˛; 2g > 0. We first claim that there exist m; n 2 Z such that m < 0 < n and m C n˛ 2 A \ .0; ı/. By contradiction, suppose that m C n˛ 2 A \ .0; ı/ ) n  0: Choose (by the former corollary) x0 D m0 C n0 ˛ 2 A \ .0; ı/, with the greatest possible n0  0. Since Kronecker’s lemma guarantees that A \ .0; x0/ is infinite, we can take x1 D m1 C n1 ˛ 2 A \ .0; x0 /, with n1 < n0 . Then, x0  x1 D .m0  m1 / C .n0  n1 /˛ 2 A \ .0; x0 /  A \ .0; ı/; which is a contradiction, for, n0 n1 > 0. Hence, we can choose mCn˛ 2 A\.0; ı/, with n > 0. This being said, if it were m  0, we would have m C n˛  ˛  ı, which is another contradiction. Therefore, m < 0 and, thus, A \ .0; ı/ ¤ ;.

224

7 More on Real Numbers

Now, take x 2 A \ .0; ı/ and consider all numbers of the form kx, with k 2 ZC . Letting k0 be the greatest nonnegative integer for which k0 x  a  , we claim that .k0 C 1/x 2 .a  ; a C /. Indeed, if it were .k0 C 1/x  a C , we would have k0 x  a   < a C   .k0 C 1/x and, hence, ı > x D .k0 C 1/x  k0 x  .a C /  .a  / D 2: This contradicts the choice of ı.

t u

The discussion of the following example uses a few simple facts on plane Euclidean Geometry, for which we refer the reader to [4]. Example 7.34 (Brazil) Let … be an euclidean plane and f W … ! … be a function such that d.P; Q/ D 1 ) d.f .P/; f .Q// D 1; for all P; Q 2 …. Prove that f is an isometry of …, i.e., prove that, for all P; Q 2 …, one has d.P; Q/ D d.f .P/; f .Q//, where d.X; Y/ D XY stands for the euclidean distance between the points X and Y. Proof For P 2 …, we let f .P/ be systematically denoted by P0 , so that d.P; Q/ D PQ andpd.f .P/; f .Q// D P0 Q0 . Firstly, let’s show that f must preserve segments of length 3. Claim 1 PQ D

p p 3 ) P0 Q0 D 3:

p Indeed, given points P and Q in the plane for which PQ D 3, let’s construct points R and S such that both QRS and PRS are equilateral triangles whose side lengths are equal to 1 (cf. Fig. 7.1). Fig. 7.1 pPQ D P0 Q0 D 3

p 3)

Q U T S

R

V P

7.3 Kronecker’s Lemma

225

Fig. 7.2 PQ D 2 ) P0 Q0 D 2

S

P

T

R

Q

Let us counterclockwise rotate rhombus PRQS with center at P, until we get a rhombus PTUV such that QU D 1. Observe that the images P0 , R0 and S0 of P, R and S form an equilateral triangle of side lengths equal to 1. Since Q0 R0 D Q0 S0 D 1, it p follows that Q0 D P0 or P0 R0 Q0 S0 is a rhombus congruent to PRQS (so that P0 Q0 D 3). In order to discard the first possibility, it suffices to note that, if it were P0 D Q0 , then T 0 , U 0 and V 0 would all be points on a circle centered at P0 D Q0 , while being vertices of an equilateral triangle of side lengths equal to 1, which is an absurd. Claim 2 For every positive integer n, we have PQ D n ) P0 Q0 D n: It suffices to establish the case n D 2, the general case being totally analogous. Let P and Q be such that PQ D 2, and let R be the midpoint of PQ, such that PR D RQ D 1 (cf. Fig. 7.2). Let’s consider points S and T such that PRS, RST and QRT are equilateral triangles of side lengths equal to 1, all situated on one of !

the half-planes determined by line PQ. Using claim 1 twice, it’s immediate that P0 Q0 D 2. Analogously, we can prove that p p PQ D n 3 ) P0 Q0 D n 3: Claim 3 P0 Q0  PQ, for all points P and Q in the plane. In order to prove this claim, letpPQ D l, such that l is neither a natural number nor a real number of the form n 3, for some n 2 N. By Corollary 7.33 (see, also, Problem 3), we can take sequences .mk /k1 e .nk /k1 of integers satisfying the following conditions: i. mk < 0 < nk , for every p k  1; ii. limk!C1 .mk C nk 3/ Dpl; iii. maxf0; l  1g < mk C nk 3 < l, for every k  1.

p Let’s first show that l, mk and nk p 3. To this pthere exists a triangle of side lengths p end, since mk C nk 3p< l, we have l C .mk / > nk 3; also, l C .m C n 3/ > 0, k k p which implies l C nk 3 > mk ; finally, from l  1 < mk C nk 3 we get p p nk 3 C .mk / > nk 3 C mk C 1 > l:

226

7 More on Real Numbers

R

R √ nk 3

f

−mk

−mk

√ nk 3

Q l

P

l

Q

P

Fig. 7.3 P0 Q0  PQ Fig. 7.4 PQ D l ) P0 Q0 D l

X

P

Q

!

Therefore, ptriangle inequality assures the existence of a point R 2 … n PQ such that PR D nk 3 and RQ D mk ; since we already have PQ D l, there is nothing left to do. 0 Q0  P0 R0 or, It follows from what we did above (cf. Fig. 7.3) that P0 Q0 C Rp 0 0 0 0 0 0 0 0 which is the same, P Q  P R  R Q . However, since P R D nk 3 and R0 Q0 D p p k mk , we get P0 Q0  nk 3 C mk . On the other hand, since nk 3 C mk ! l, it comes that P0 Q0  l D PQ. Let’s consider again points P and Q in the plane, with PQ D l. Tesselate the plane with equilateral triangles of side lengths all equal to 1, such that one of these !

triangles has one of its vertices at P and one of its sides on line PQ (cf. Fig. 7.4). By what we did above, the images by f of the vertices of such a triangulation form the vertices of an analogous triangulation. On the other hand, if X is an arbitrary vertex of the original triangulation (see Fig. 7.4 once more), then X 0 Q0  XQ, for every point Q of the plane. Geometrically, this means that Q0 doesn’t belong to the interior of the disk centered at X 0 and having radius XQ. However, since this is true for every vertex of the triangulation, we must necessarily have P0 Q0 D l. t u Apart from the following problems, other interesting applications of Kronecker’s lemma will appear in the context of continuity in Problem 14, page 264, as well as in Sect. 10.8 (cf. Examples 10.59 and 10.60), when we have at our disposal the concepts and elementary properties of logarithms.

7.3 Kronecker’s Lemma

227

Problems: Section 7.3 1. * Given real numbers x1 , . . . , xk , verify that the set Gx1 ;:::;xk D fa1 x1 C    C ak xk I a1 ; : : : ; ak 2 Zg is indeed an additive subgroup of R. For the next problem, the reader might want to recall the definitions of integer part and fractional part of a real number, given in Problems 9 and 10, page 152. 2. The purpose of this problem is to give a direct proof of Corollary 7.32. To this end, given ˛ 2 R n Q, a 2 R and  > 0, start by choosing p 2 N such that 1 p < 2 and do the following items: (a) Show that at least two of the numbers  f˛g, f2˛g, . . . , f.p C 1/˛g belong to , for some integer k satisfying 0  k < a single interval of the form pk ; kC1 p p. (b) Use the result of (a) to show that there exist m0 ; n0 2 Z such that 0 < m0 C n0 ˛ < 1p . (c) Use the result of (b) to show that there exists r 2 Z such that r.m0 C n0 ˛/ 2 .a  ; a C /. 3. * Given ˛; l 2 R, with ˛ irrational, show that there exist sequences .mk /k1 and .nk /k1 of integers satisfying the following conditions: (a) mk < 0 < nk , for every k  1; (b) limk!C1 .mk C nk ˛/ D l. For the next problem, we assume from the reader some familiarity with the basics of plane analytic geometry and vector algebra in the plane. We refer to Chaps. 6 and 8 of [4] for the necessary background. 4. A subset X of an euclidean plane … is said to be dense in  provided X intersects every disk of …. Now, let O be a fixed point in …. A nonempty subset X of … is said to be an additive subgroup of … with respect to O provided the following ! ! ! condition is satisfied: for every A; B 2 X, if OA  OB D OC, then C 2 X. (a) If A1 ; : : : ; An 2 … and XA1 ;:::;An D

n nX

o ! mk OAk I mk 2 Z; 8 1  k  n ;

kD1

show that XA1 ;:::;An is an additive subgroup of … with respect to O, which is not dense in it. ! (b) Choose A and B in … such that O … AB . If ˛ 2 R n Q and ! ! YA;B D fmOA C .n C p˛/OBI m; n; p 2 Zg;

228

7 More on Real Numbers

show that YA;B is an additive subgroup of … with respect to O, which is not dense in it. (c) Give an example of an additive subgroup X of … with respect to O, different from … itself and dense in it. (d) Let X be an additive subgroup of … with respect to O. Do the following items: i. Given a line r through O, look at it as a real line, with O representing 0. Prove that X \ r is either the empty set or an additive subgroup of r. ii. If there exist distinct lines r and s through O such that X \ r; X \ s ¤ ;, prove that X is dense in …. iii. If X is not dense in … and is not contained in a single line, prove that there exists a direction d in … such that X is contained in the union of a family of equally spaced lines, all parallel to d. Although the next problem does not really use Kronecker’s lemma, this is the best place to put it. 5. Let ˛ and ˇ be positive irrationals such that ˛1 C ˇ1 D 1. Our purpose is to show that the sets fbk˛cI k 2 Ng and fbkˇcI k 2 Ng form a partition of the natural numbers. To this end, do the following items: (a) Show that if ˛ > 1 is irrational n o and n 2 N, then n is a term of the sequence .bk˛c/k1 if and only if ˛n > 1  ˛1 . n o n o (b) Given n 2 N, show that ˛n C ˇn D 1. n o n o (c) Conclude that either ˛n > 1  ˛1 or ˇn > 1  ˇ1 , but not both. (d) Finish the proof. In the notations above, one says that .ak /k1 and .bk /k1 , given by ak D bk˛c and bk D bkˇc, are the Beatty sequences6 corresponding to ˛ and ˇ.

7.4 Series of Real Numbers Let .an /n1 be a sequence of real numbers. By the series C1 X

an ;

nD1

6

After Samuel Beatty, Canadian mathematician of the XX century.

7.4 Series of Real Numbers

229

P or simply n1 an , we mean the sequence .sn /n1 , where sn D a1 Ca2P C  Can for n  1. The real number sn is called the n-th partial sum of the series n1 an , and we say that such a series converges to s 2 R if the sequence .sn /n1 of its partial sums converges to s. In this case, we say that s is the sum of the series and write X

an D s:

(7.3)

n1

P In other words, whenever we write k1 ak D s, we will be saying that the terms of the sequence of finite sums sn D a1 C a2 C    C an come closer and closer to the real number s, as long as n ! C1. It is in this sense that equality (7.3) must be thought of, as a limit. We shall sometimes have a sequence P .an /n0 of reals, in which case the corresponding series will be denoted by n0 an . We leave to the reader the (immediate) task of adapting the former and coming discussions to such a situation. Our main interest in this section is to find out efficient criteria to decide whether a given series converges or not. If it doesn’t converge, we shall say that it is a divergent series. Let’s see two simple examples of divergent series. P P Example 7.35 The series k1 k and k1 .1/k diverge. Proof The first series diverges, for its n-th partial sum is sn D 1 C 2 C    C n D n.nC1/ 2 , so that .sn /n1 is a divergent sequence. In the second case, the n-th partial sum sn of the given series is such that sn D 0 if n is even and sn D 1 if n is odd, so that .sn /n1 is also a divergent sequence. t u P Given a series n1 an , we refer to a generic term an as the general term of the series. The following proposition gives a necessary condition on the general term of a series, if it is to converge. P n Proposition 7.36 If the series k1 ak converges, then ak ! 0. Proof Given  > 0, we want to Pprove that there exists n0 2 N such that n > n0 ) jan j < . To this end, let l D k1 ak . By the definition of convergence for series, there exists n0 2 N such that n  n0 ) j.a1 C a2 C    C an /  lj
n0 , we have jan j  j.a1 C a2 C    C an /  lj C jl  .a1 C a2 C    C an1 /j 

  C D : 2 2 t u

230

7 More on Real Numbers

The converse to the above proposition is not true, namely, there are divergent P n series k1 ak for which ak ! 0. The classical example is that of the harmonic P 1 series, i.e., the series k1 k , whose divergence is established in the coming example and will find further use in these notes. Example 7.37 Given n 2 N, let m be the only natural number such that 2m  n < 2mC1 . Then, n X 1 kD1

k

m C 1: 2



(7.4)

In particular, the harmonic series diverges. Proof Note that, for every integer k > 1, 1 1 1 1 1 1 1 C k1 CC k > k C k CC k D : C1 2 C2 2 2 2 ƒ‚ 2… 2 „

2k1

2k1 times

Hence, 2m

1 X1 1 X1 1C C 1C C 2 j 2 j jD3 jD3 n

D1C

 m  1 1 1 X C C    C 2 kD2 2k1 C 1 2k

1 X1 m >1C C D1C : 2 kD2 2 2 m

t u comes next, we shall show that, for every rational r > 1, the series P In what 1 converges. To this end, we need to examine the convergence of a geometric r k1 k series, i.e., of a series of the form X qk1 ; k1

for a certain nonzero real number q. In this sense, we have the following important result. P Proposition 7.38 Given q 2 R n f0g, the geometric series k1 qk1 converges if and only if 0 < jqj < 1. Moreover, if this is so, then X k1

qk1 D

1 : 1q

7.4 Series of Real Numbers

231

Proof If jqj  1, the geometric series diverges, since its general term qk1 doesn’t converge to 0. Suppose, then, that 0 < jqj < 1, and let sn D 1 C q C    C qn1 be the n-th partial sum of the series. By the formula for the sum of the terms of a finite GP, we have sn D

1 qn 1  qn D  : 1q 1q 1q

Hence, in order to show that the series converges to n

1 , 1q

it suffices to show that

q ! 0. But this was done in Example 7.12. n

We can now discuss the promised example. Example 7.39 If r > 1 is rational, then the series

t u P

1 k1 kr

converges.7

Proof By the Bolzano-Weierstrass P theorem, it suffices to show that the sequence .sn /n1 of the partial sums sn D nkD1 k1r is bounded. To this end, given n 2 N, take m 2 N such that 2m > n. Then,     1 1 1 1 sn  1 C C r CC CC m 2r 3 .2m1 /r .2  1/r 1 1 1 C 4  r C    C 2m1  .m1/r 2r 4 2 1 1 1 < 1 C r1 C r1 C    C .m1/.r1/ 2 4 2 X 1 < : 2.r1/k k0 < 1C2

However, since r > 1, we have 0 < proposition that X

1

k0

2.r1/k

Therefore, we conclude that 0 < sn < .sn /n1 is, indeed, bounded.

1 2r1

D

< 1, and it follows from the previous 2r1 : 2r1  1

2r1 2r1 1

for every n 2 N, so that the sequence t u P Remark 7.40 For the sake of curiosity, we inform the reader that k1 k1r D .r/, where W .1; C1/ ! R stands for the famous Riemann’s zeta function.8

7 Had powers kr , with r > 0 real, been defined (this will be done inP Sect. 10.7), the reasoning presented in the proof would work equally well to show that the series k1 k1r converges. 8 After Bernhard Riemann, German mathematician of the XIX century. For more on Riemann, see the footnote at page 354.

232

7 More on Real Numbers 2

An elementary computation of .2/ D 6 will be hinted to at Problem 12, page 470. We also refer to Chap. 9 of [5]. Note, however, that for an odd natural number m > 1 the computation of the exact numerical value of .m/ is an open problem in Mathematics. We finish our initial list of examples of series with an additional application of Bolzano-Weierstrass theorem to the convergence of series. In the coming example, we introduce one of the most important constants of Mathematics, the number e, which will play a major role in Sect. 10.7. P Example 7.41 The series k0 kŠ1 converges to an irrational number e, such that 2 < e < 3. In symbols, eD

X 1 : kŠ k0

(7.5)

Proof Let .sn /n0 be the sequence of the partial sums of the given series, i.e., sn D 1 C

1 1 1 C CC : 1Š 2Š nŠ

For this sequence, we clearly have 1 D s0 < s1 < s2 <    ; on the other hand, since kŠ > 2k1 for every integer k > 2, we have, for an integer n  4, sn D

n n X 1 1 X 1 1 8 X 1 35 2, we finally arrive at the estimate tn1 < .n  1/Še < tn1 C 1; which is valid for every integer n > 2. Now, suppose that e D pq , with p; q 2 N. Making n D q C 1 > 2 in the above inequalities, we would get tq < .q  1/Šp < tq C 1; with tq 2 N. This is a contradiction.

t u

As an alternative to (7.5), we have the following result, which will be quite useful in Sect. 10.7.

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7 More on Real Numbers

 n Theorem 7.42 e D limn!C1 1 C 1n . n  Proof Let an D 1 C 1n . Arguing as in the proof of Example 7.23, we get ! n X n 1 an D 2 C k nk kD2 D 2C

n X 1 n.n  1/.n  2/ : : : .n  k C 1/  kŠ nk kD2

D 2C

     n X 1 2 k1 1 1 1 ::: 1  kŠ n n n kD2

2C

     m X 1 2 k1 1 1 1 ::: 1  kŠ n n n kD2

     m X 1 2 m1 1 >2C 1 1 ::: 1  kŠ n n n kD2

!      m X 1 2 m1 1 > 1 1 ::: 1  2C : n n n kŠ kD2

7.4 Series of Real Numbers

235

Therefore, it follows from Problem 1, page 218, we have !      m X 2 m1 1 1 1 ::: 1  2C l D lim an  lim 1  n!C1 n!C1 n n n kŠ kD2 D2C

m m X X 1 1 D : kŠ kŠ kD2 kD0

Pm 1 However, since m 2 N was arbitrarily chosen, we conclude that l  kD0 kŠ for every m 2 N. Then, letting m ! C1 and invoking again item (b) of Proposition 7.15, we finally obtain m X 1 X 1 D D e: m!C1 kŠ kŠ kD0 k0

l  lim

t u Back to the general development of the theory, the next result is the analogue, for series, of Proposition 7.18, and teaches us how to operate with convergent series. P P Proposition 7.43 If k1 ak and k1 bk are convergent series and c is a real number, then: P P P (a) Pk1 cak converges and k1P cak D c k1 ak . P P (b) k1 .ak C bk / converges and k1 .ak C bk / D k1 ak C k1 bk . Proof

P (a) If sn denotes the n-th Ppartial sum of the series k1 ak , then the n-th partial sum of the series P k1 cak equals csn . Hence, according to item (a) of Proposition 7.18, k1 cak converges, and X

cak D lim csn D c lim sn D c

k1

n!C1

n!C1

X

ak :

k1

P P (b) If sn and tn are the n-th partial sums of the series k1 ak and k1 bk , P respectively, then the n-th partial sum of the series k1 .ak Cbk / equals sn Ctn . Therefore, item (b) of Proposition 7.18 assures the convergence of this last series, with X X X .ak C bk / D lim .sn C tn / D lim sn C lim tn D ak C bk : k1

n!C1

n!C1

n!C1

k1

k1

t u

236

7 More on Real Numbers

A quick analysis of the arguments presented in Examples 7.39 and 7.41 gives the following more general result, known as the comparison test for the convergence of series. sequences of positive real numbers, Proposition 7.44 Let .ak /k1 and .bk /k1 be P such that a  b for every k  1. If the series k k1 bk converges, then so does the P k series k1 ak . Moreover, X k1

ak 

X

bk :

k1

Pn Pn Proof Letting sn D kD1 ak and tn D kD1 bk , it follows from 0 < ak  bk that 0 < sn  tn , for every n 2 N. Since the sequence .tn /n1 converges, it is bounded. Hence, the sequence .sn /n1 is monotonic and bounded, thus convergent, by Bolzano-Weierstrass theorem. To what is left to prove, it suffices to make n ! C1 in the inequality sn  tn and apply the result of Problem 1, page 218. t u Example P 7.45 Is there P a sequence .ak /k1 of positive real numbers such that both series k1 ak and k1 k21ak converge? Solution Suppose there is such a series. Then, item (b) of Proposition 7.43, together with the inequality between the arithmetic and geometric means, would give us  X s X 1 X X2 1 1 : ak C 2  ak C D 2 ak  2 D 2 k ak k ak k ak k k1 k1 k1 k1 k1

X

Therefore, by the comparison test for series, the harmonic series would be convergent, which is an absurd. t u The coming example uses the theory of series to give a proof of the uncountability of R. Example 7.46 Problem 23, 172, shows that the family F of infinite subsets of N is uncountable. On the other hand, if A D fm1 < m2 < m3 <    g is such a P set, then the comparison test, together with the convergence of the geometric series j1 21j , P guarantees the convergence of the series k1 2m1k . Let B D fn1 < n2 < n3 <    g be another infinite subset of N. If we show that X 1 X 1 ¤ ; 2 mk 2nk k1 k1 P then the correspondence A 7! k1 2m1k defines an injection from F into R, and this guarantees that R is uncountable. (Otherwise, by composing such a function with a bijection from R to N, we would get an injection from F to N, thus contradicting the uncountability of F .)

7.4 Series of Real Numbers

237

What is left to do is quite similar to the proof of Example 4.12. Indeed, suppose we had X 1 X 1 D : 2 mk 2nk k1 k1 Then, X 1 X 1 X 1 1 1 < D  D n 1 ; m m n j 1 k k 2 2 2 2 21 k1 k1 jn 1

so that m1  n1 . By reversing the roles of the two series, we analogously conclude that m1  n1 , so that m1 D n1 . Thus, X 1 X 1 D ; 2 mk 2nk k2 k2 and a similar reasoning gives m2 D n2 . Finally, by continuing this way, we get mk D nk for every k  1, so that A D B. P Back to the development of the theory, for a series k1 ak with infinitely many positive and negative terms the results obtained so far say nothing about its convergence. We remedy this situation from now on, starting from the following P Definition P 7.47 A series k1 ak is said to be absolutely convergent provided the series k1 jak j converges. The usefulness of the concept of absolutely convergent series stems from the coming proposition, as well as the subsequent example. Proposition 7.48 Every absolutely convergent series is convergent. P Proof Let k1 ak be an absolutely convergent series and, for each integer n  1, let sn D a1 CP a2 C    C anP and tn D ja1 j C ja2 j C    C jan j be the n-th partial sums of the series k1 ak and k1 jak j. Given integers m > n  1, we have jsm  sn j D janC1 C anC2 C    C am j  janC1 j C janC2 j C    C jam j D tm  tn : Since .tn /n1 converges, it is a Cauchy sequence; hence, given  > 0, there exists n0 2 N such that m > n > n0 ) jtm  tn j < . With these  and n0 , it follows from the above inequality that m > n > n0 ) jsm  sn j  tm  tn < ;

238

7 More on Real Numbers

and .sn /n1 is also a Cauchy sequence. Therefore, Theorem 7.27 guarantees the convergence of the sequence .sn /n1 , as we wished to show. u t The converse to the previous proposition is not valid, namely, there are convergent series which are not absolutely convergent. The classical example is a direct application of the coming result, which is known in the mathematical literature as the Leibniz criterion10 for the convergence of alternate series. nonincreasing sequence of positive reals Proposition 7.49 (Leibniz) If .an /n1 is a P such that an ! 0, then the alternate series k1 .1/k1 ak converges. Proof For each n 2 N, let sn D a1 Ca2 C  Can . Condition a1  a2  a3     > 0 easily gives s1  s3  s5      s6  s4  s2 :

(7.7)

On the other hand, for each m 2 N we have js2m1  s2m j D a2m ! 0; which clearly guarantees, in conjunction with (7.7), that .sn /n1 is a Cauchy sequence. Therefore, .sn /n1 is convergent, as desired. t u P k1 Example 7.50 The alternate series k1 .1/k converges, by a simple application of the former proposition (we shall compute its value in Problem 8, page 484). Nevertheless, the series formed by the absolute values of its terms (the harmonic series) diverges. We now discuss quite a useful criterion for the convergence of series of nonzero real numbers. It is based on the asymptotic behavior11 of the quotient of neighboring terms of the series, and is known as the ratio test. Proposition 7.51 Let .an /n1 be a sequence of nonzero real numbers, such that ˇ ˇ P ˇ anC1 ˇ ˇ an ˇ ! l. If l < 1, then the series k1 ak is absolutely convergent; if l > 1, then P the series k1 ak is divergent. P Proof Let’s prove that the series k1 ak is absolutely convergent if l < 1 (the proof of its divergence in case l > 1 is completely analogous).

10

After Gottfried Wilhelm Leibniz, German mathematician and philosopher of the XVII century. Together with Sir Isaac Newton, Leibniz is considered to be one of the creators of the Differential and Integral Calculus. Up to this day, we still use some of the notations invented by Leibniz more than 300 years ago. 11 In this context, this expression refers to the behavior of some expression that depends on n 2 N, when n ! C1.

7.4 Series of Real Numbers

239

Letting l < 1, we can take a real number q such that l < q < 1. The convergence n ! l assures the existence of n0 2 N such that

janC1 j jan j

n  n0 )

janC1 j  q: jan j

Hence, for n  n0 , we have jan j D jan0 j

n1 Y kDn0

jakC1 j  jan0 jqnn0 : jak j

P Thus, P for n  n0 , the terms of the series k1 jak j are majorized by those of the series k1 jan0 jqnn0 , which converges,P by Propositions 7.43 and 7.38. Therefore, it follows from the comparison test that k1 jak j converges, which is the same as P saying that k1 ak is absolutely convergent. t u In the P notations of the former proposition, we observe that, if l D 1, then the series k1 ak may converge or diverge. Indeed, for an D 1n we have

albeit the series

while the series following

P

akC1 k k D ! 1; ak kC1 1 k1 k

P

diverges; on the other hand, for an D

1 k1 k2

1 n2

we have

k2 akC1 k D ! 1; 2 ak .k C 1/ converges. On the positive side of things, we present the

Example 7.52 number m and a real number q > 1, explain whether P Given a natural m the series k1 .1/k1 kqk converges or diverges. m

Solution Letting an D .1/n1 nqn ˇ ˇ m ˇ anC1 ˇ ˇ ˇ D .n C 1/ ˇ a ˇ qnC1 n

for n  1, we have   qn nC1 m 1 n 1  m D  ! < 1: n n q q

Therefore, by the ration test, the given series is absolutely convergent, hence, convergent. t u We close this section by discussing the product of two absolutely convergent series. P P Theorem 7.53 Let i1 ai and j1 bj be absolutely convergent series. If ck D

X iCjDk

ai bj D

k1 X iD1

ai bki

(7.8)

240

7 More on Real Numbers

for k  1, then

P

k1 ck

is absolutely convergent and such that  X  X X ck D ai bj : k1

i1

j1

Proof It suffices to show that, given  > 0, there exists n0 2 N such that, for n > n0 , we have 2n ˇ 2n1 ˇX  X  X ˇ  X  X ˇ ˇX ˇ ˇ ˇ ck  ai bj ˇ <  and ˇ ck  ai bj ˇ < : ˇ kD1

i1

j1

kD1

i1

j1

Let’s guarantee the existence of n0 2 N for which the first inequality above is true (the analysis of the validity of the second inequality is entirely analogous). Given n 2 N, it follows from triangle inequality that 2n 2n  X n n ˇX X  X ˇ  X  X ˇ ˇ X ˇ ˇ ˇ ˇ ck  ai bj ˇ  ˇ ai bj  ai bj ˇ ˇ kD1

i1

j1

kD1

iCjDk

n ˇ X

ˇ Cˇ

ai

iD1

n  X

iD1

jD1

n  X  X ˇ ˇ bj  ai bj ˇ

jD1

i1

jD1

n ˇ X  X  X  X ˇ ˇ ˇ Cˇ ai bj  ai bj ˇ: i1

jD1

i1

j1

Let A, B and C denote the first, second and third summands of the right hand side above, respectively, so that n ˇX ˇ ˇX ˇ ˇX ˇ ˇX ˇ ˇ ˇ ˇ ˇ ˇ ˇ ˇ ˇ BDˇ ai ˇ  ˇ bj ˇ and C D ˇ ai ˇ  ˇ bj ˇ: i>n

The sequence

P

n jD1

jD1

j>n

i1



bj , being convergent, is bounded; therefore, there ˇ P n1 ˇ ˇ ˇ exists M > 0 such that ˇ njD1 bj ˇ < M, for every n  1. On the other hand, since P P the series i1 ai and j1 bj converge, we have X i>n

ai D

X i1

ai 

n X iD1

n

ai !

X i1

ai 

X

ai D 0

i1

P n and, analogously, j>nPbj ! 0. In order to estimate C, we can suppose, without loss of generality, that i1 ai ¤ 0. Then, we can choose n1 ; n2 2 N such that ˇX ˇ ˇX ˇ   ˇ ˇ ˇ ˇ ˇI ai ˇ < bj ˇ < ˇP and n > n2 ) ˇ n > n1 ) ˇ ˇ ˇ 3M 3 i1 ai i>n j>n

7.4 Series of Real Numbers

241

hence, for n > maxfn1 ; n2 g, we have ˇX ˇ     ˇ ˇ ˇD : M D and C < ˇ a i ˇ  ˇP ˇ ˇ 3M 3 3 3 a i1 i i1

B
n

iCj2n

X



2n X X

jai bj j 

jai jjbj j C

iDnC1 jn

maxfi;jg>n

2n X X

jai jjbj j

jDnC1 in

iCj2n



2n  X

jai j

 X

iDnC1

2n  X  X jbj j C jbj j jai j :

j1

jDnC1

i1

P P To estimate A, we can suppose that i1 jai j ¤ 0 and j1 jbj j ¤ 0. Now,  Pn  P P since the series i1 jai j and j1 jbj j converge, the sequences jai j n1 and iD1 P n are Cauchy; therefore, there exist n3 ; n4 2 N such that jD1 jbj j n1

n > n3 )

2n X

jai j
n4 )

2n X

jbj j
maxfn3 ; n4 g, we get A

6

P



j1 jbj j



X j1

jbj j C

6

P



i1 jai j



X i1

jai j D

 : 3

Finally, by letting n0 D maxfn1 ; n2 ; n3 ; n4 g and taking n > n0 , all of the previous estimates are valid, so that 2n ˇX  X  X ˇ  ˇ ˇ ck  ai bj ˇ  A C B C C < 3  D : ˇ 3 kD1 i1 j1

t u

242

7 More on Real Numbers

Problems: Section 7.4 1. Let .an /n1 be a sequence of positive real numbers defined by a1 D 12 and P anC1 D a2n C an , for every n 2 N. Prove that k1 ak 1C1 converges and show that X k1

1 D 2: ak C 1

2. Sequence .an /n1 is a nonconstant AP of nonzero real numbers. Prove that P 1 k1 ak akC1 converges and compute its sum. P 3. Given a real number a > 1, prove that the series k1 2k1 converges and ak compute its sum. P 1 4. Decide whether the series k1 p p converges or diverges. kC k2 1 P 5. Prove that the series k>1000 p 3 1 2 converges. k 1000k 6. Let .an /n1 be an infinite, nonconstant AP of positive terms. Prove that: P 1 diverges. (a) Pk1 a1k (b) k1 a k converges. 2

7. (NMC) Let A be a finite set of naturals, all of the form 2a 3b 5c , for some nonnegative integers a, b and c. Prove that X1 x2A

x

< 4:

8. * The purpose of this problem is to show that e Š 2:71828, with five correct decimal places. To this end, do the following items: (a) For every integer n > 10, show that   1 1 1 1 1 1 1 C CC < 1C C 2 C    C n10 : 10Š 11Š nŠ 10Š 11 11 11 (b) Use P item (a), together with the fact that 10Š > 2  106 , to show that 0 < 1 6 e  10 kD1 kŠ < 10 . (c) Conclude from (b) that 2:71828 approximates e with five correct decimal places. 9. * Given a sequence .a1 ; a2 ; a3 ; : : :/ of digits, prove that there exists a single x 2 R such that, for a given n 2 N, we have 0x

a

1

10

C

1 ak a2  n; C    C 102 10k 10

7.4 Series of Real Numbers

10.

11. 12. 13.

14.

243

for every natural number k  n. In such a case (and as the reader is certainly used to), we write x D 0:a1 a2 a3 : : : and say that 0:a1 a2 a3 : : : is the decimal representation of x. Show that every real number x 2 .0; 1/ admits a unique decimal expansion of the form x D 0:a1 a2 a3 : : :, with an ¤ 0 for infinitely many values of n. Then, use this fact to construct a surjective function f W Œ0; 1 P! Œ0; 1 Œ0; 1. Let .an /n1 be a sequence of real numbers such that k1 a2k converges. Prove P that, for every rational ˛ > 12 , k1 ka˛k also converges. P Let .an /n1 be a sequence positive real numbers, such that the series k1 ak P ofp converges. Prove that k1 ak akC1 also converges. Let .Fn /n1 be the Fibonacci sequence, i.e., the sequence defined by F1 D 1, F2 D 1 and FkC2 D FkC1 C Fk , for every integer k  1. Show that the series P 1 k1 Fk converges. p Let .an /n1 be a sequence of positive reals such that n an ! l. P (a) If l < 1, show that the series Pk1 ak converges. (b) If l > 1, show that the series k1 ak diverges. P (c) If l D 1, give examples showing that the series k1 ak may converge or diverge.

TheP convergence criterion given by the case l < 1 is known as the root test. P 15. Let k1 ak be an absolutely convergent series, with k1 ak D 0. Show that X n1

a1 a2 an1 C CC 2 2 2 .n  1/ .n  2/ 1



converges and compute the corresponding sum. P .1/k 1 16. Prove Pthat e D k0 kŠ . 17. Let k1 ak be an absolutely convergent series and ' W N ! N be a bijection. P P (a) If an  0 for every n 2 N, prove that k1 ak D k1 a'.k/ .  C  (b) Write an D aC n  an , where P an CD maxfa P n ; 0g and an D  minfan ; 0g, for every n 2 N. Prove that P k1 ak and Pk1 ak are both convergent. (c) Conclude that, in general, k1 ak D k1 a'.k/. In view of item (c) above, we say that an absolutely convergent series is commutatively convergent. The convergence criterion for series stated in the next problem is due to N. Abel, and is known in the mathematical literature as Abel’s convergence test or Abel’s convergence criterion. 18. Let .an /n1 and .bn /n1 be two sequences of real numbers satisfying the following conditions: (a) The sequence .sn /n1 , defined by sn D a1 C    C an for every n 2 N, is bounded.

244

7 More on Real Numbers n

(b) b1  b2  b3     > 0 and bn ! 0. P Prove that the series k1 ak bk converges. 19. Show that Abel’s criterion implies Leibniz criterion. 20. Do the following items: (a) Given a; h 2 R, with h ¤ 2l for every l 2 Z, show that k X

 sin a C

sin.a C jh/ D

.k1/h 2



sin .kC1/h 2

sin h2

jD0

(b) Use Abel’s criterion to show that

P k1

sin k k

:

converges.

21. In a cartesian coordinate system centered at O, let .An /n1 be the sequence of points such that A1 D .1; 0/ and: (i) Triangle OAn AnC1 is rectangle at An and such that An AnC1 D 1. (ii) Triangles OAnC1 AnC2 and OAn AnC1 have disjoint interiors, for every n  1. !

Prove that, when n ! C1, half-line OAn revolves infinitely many times around O. 22. Let Tn be a right triangle whose side lengths are 4n2 , 4n4  1 and 4n4 C 1, with n 2 N. Let ˛n be the measure, in radians, of its internal angle opposite to the side of length 4n2 . Show that X k1

˛k D

 : 2

Chapter 8

Continuous Functions

In this chapter we formalize the concept of continuous function, intuitively thought of as that of a function whose graph is a curve without interruptions. As a result of our discussion, we shall present sufficient criteria for a function to be continuous and, among other important results, shall show that every continuous function possesses the intermediate value property. Also, several interesting examples are scattered throughout the chapter.

8.1 The Concept of Continuity Let’s initially consider the function f W R ! R given by f .x/ D fxg (the fractional part function), whose graph is sketched in Fig. 8.1. After a quick look at it, we would certainly feel comfortable in saying that such a graph is discontinuous, for, it presents several (actually, infinitely many) jumps. Also, note that this apparently doesn’t happen with the graph of the function g W R ! R given by g.x/ D x2 , which should surely be called continuous. It does emerge the question of how to find a reasonable criterion to identify the existence or absence of jumps in graphs, thus discerning between the two possibilities above. In order to develop some intuition on how to do it, let’s restrict the domain of the function x 7! fxg to the interval Œ 34 ; 32 . If we denote this new function still by f , then we easily conclude that



 1 3 Im.f / D 0; [ ;1 I 2 4 in particular, there exist values of y in the closed interval bounded by f . 34 / and f . 32 /, for example y D 58 , such that no x 2 Π34 ; 32  satisfies f .x/ D y.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_8

245

246

8 Continuous Functions

y

... −4

... −3

−2

−1

O

1

2

3

x

Fig. 8.1 Graph of x 7! fxg

On the other hand, it is easy to verify that this doesn’t happen with the function g of the first paragraph. More precisely, let’s fix an interval Œa; b  R and let g.Œa; b/ denote the image of the restriction of g to Œa; b, i.e., g.Œa; b/ D fg.x/ 2 RI x 2 Œa; bgI then, by setting c D maxfa; bg, it’s easy to show that 8  2 2 < a ; b ; g.Œa; b/ D 0; c2 ; :  2 2 b ;a ;

if 0  a < b if a < 0 < b : if a < b  0

In particular, for every y in the closed interval bounded by g.a/ and g.b/, there exists p x 2 Œa; b (x D ˙ y, according to the case at hand), such that g.x/ D y. We are now in position to generalize the previous discussion with the following definition. To this end, in all that follows, unless we explicitly state otherwise, I denotes an interval and X a union of intervals of the real line. Definition 8.1 A function f W X ! R has the intermediate value property (cf. Fig. 8.2) if, for every interval Œa; b  X and every y0 situated in the closed interval bounded by f .a/ and f .b/, there exists x0 2 Œa; b such that y D f .x/. The previous discussion assures that the function f .x/ D fxg, x 2 R, does not have the intermediate value property, while the function g.x/ D x2 , x 2 R, has such a property. Therefore, it compels us to say that, if a function f W X ! R has the intermediate value property, then its graph should be continuous, i.e., with no jumps. Nevertheless, the reader can easily verify that the function f W Œ0; 2 ! R, given by  f .x/ D

x; if 0  x  1 ; x  12 ; if 1 < x  2

8.1 The Concept of Continuity

247

y

Gf

f (a) y = y0 a

x0

x

b

f (b)

Fig. 8.2 The intermediate value property

Gf

y

P0

a

x0

b

x

2δ

Fig. 8.3 Continuity from the correct viewpoint

does satisfy the intermediate value property, albeit its graph presents a jump at x D 1. Thus, the intermediate value property is not the correct way to formulate the concept of continuous function. In order to adequately define the concept of continuous function, let’s analyse the whole situation from another point of view. Let f W .a; b/ ! R be a given function, x0 2 .a; b/ be a fixed real number and P0 .x0 ; f .x0 // 2 Gf . Also, let x 2 .a; b/ n fx0 g and P.x; f .x// 2 Gf . For the graph of f to be called continuous at x0 , our geometric intuition says that, the closer x is of x0 , the closer P should be of P0 . More precisely, this closedness means (cf. Fig. 8.3) that, for a fixed, arbitrarily chosen error r > 0 for the position of the point P0 (i.e., given an arbitrary disk D.P0 I r/, centered at P0 and with radius r), we should have P 2 D whenever the abscissa x of P approximates x0 within a sufficiently small error, say less than a certain ı > 0 (one reads delta). In symbols, given an arbitrary r > 0, there must exist ı > 0 such that jx  x0 j < ı ) PP0 < r:

(8.1)

248

8 Continuous Functions

Gf

y

P0

a

2

x0

b

x

2δ

Fig. 8.4 Elaborating the correct definition of continuous function

Since every disk in the cartesian plane contains arbitrarily small rectangles with sides parallel to the axis, it is easy to show (cf. Problem 4) that the validity of the condition (8.1) is equivalent to the following alternative geometric description (cf. Fig. 8.4): given an arbitrary error  > 0 (one reads epsilon) for the value of f at x0 , i.e., given an arbitrary horizontal strip R .f .x0 /  ; f .x0 / C / of the cartesian plane, symmetric with respect to the point P0 .x0 ; f .x0 // (the gray strip in Fig. 8.4)), there must exist another error ı > 0 such that, for every x 2 X satisfying jx  x0 j < ı, the point P.x; f .x// belongs to the gray strip. This being said, we can finally state the formal definition of continuity of a function (at a point). Definition 8.2 A function f W X ! R is continuous at the point x0 2 X if the following condition is satisfied: given  > 0, there exists ı > 0 such that x 2 X; jx  x0 j < ı ) jf .x/  f .x0 /j < :

(8.2)

The function f is said to be continuous if it is continuous at every point x0 2 X. Example 8.3 Every constant function is continuous. Proof Let c be a given real number and f W R ! R be the function constant and equal to c. To show that f is continuous at x0 2 R, the definition of continuity asks that, given  > 0, we find ı > 0 such that, for x 2 R, the validity of inequality jx  x0 j < ı implies that of jf .x/  f .x0 /j < . However, since jf .x/  f .x0 /j D jc  cj D 0, inequality jf .x/  f .x0 /j <  is always true, independently of any restriction on jxx0 j. Yet in another way, taking ı equal to any positive real number, we will always have that jx  x0 j < ı ) jf .x/  f .x0 /j < , for, the inequality jf .x/  f .x0 /j <  cannot be false. t u

8.1 The Concept of Continuity

249

In order to establish the continuity of other, less simple functions, we need to elaborate a little more the former definition, and we do this next. Suppose we want to establish the continuity of f W X ! R at x0 2 X. According to the given definition, we should assume that an error  > 0 for the value of f .x0 / is given and, then, be capable of finding another error ı > 0 for x0 that turns true implication (8.2). In general, the following strategy is a good one: (i) Starting from x 2 X subjected to an error jx  x0 j < ı, we estimate by excess the error jf .x/  f .x0 /j in terms of ı, obtaining an inequality of the type jf .x/  f .x0 /j < E.ı/, where E represents a certain function of ı. (ii) Then, we impose that such an error E.ı/ doesn’t surpass the desired error , thus finding the appropriate values of ı. Usually, this second step reduces to solving, for ı > 0, inequality E.ı/  . Once we execute the two steps above, if ı > 0 satisfies E.ı/  , we will clearly have that x 2 X and jx  x0 j < ı ) jf .x/  f .x0 /j < E.ı/  ; as we wished to show. As a last remark, the coming examples will make it clear that, along the execution of items (i) and (ii), the function E will be generally implied. Example 8.4 The modular function (cf. Example 6.60) is continuous. Proof Given x0 2 R, if jx  x0 j < ı, then triangle inequality gives jf .x/  f .x0 /j D jjxj  jx0 jj  jx  x0 j < ı: Hence, if ı  , it will follow from the above that jf .x/  f .x0 /j <  whenever jx  x0 j < ı. t u Example 8.5 Let a and b be real numbers, with a ¤ 0. If f W R ! R is given by f .x/ D ax C b, then f is continuous. Proof Again, for a given x0 2 R, se jx  x0 j < ı, we have jf .x/  f .x0 /j D j.ax C b/  .ax0 C b/j D jajjx  x0 j < jajı:  ), jaj

we have jf .x/  f .x0 /j <  whenever t u p Example 8.6 The square root function f W Œ0; C1/ ! R, such that f .x/ D x for x  0, is continuous. p p p Proof If x0 D 0 and 0  x < ı, then jf .x/  f .x0 /j D x < ı. Since ı   , ı   2 , for 0 < ı   2 we have jf .x/  f .x0 /j <  if jx  0j < ı. Suppose, now, that x0 > 0. Then, for jx  x0 j < ı, we have Hence, if jajı   (or, equivalently, ı < jx  x0 j < ı.

p p jx  x0 j 1 ı jf .x/  f .x0 /j D j x  x0 j D p p  p jx  x0 j < p : x0 x0 x C x0

250

8 Continuous Functions

Fig. 8.5 j sin xj  jxj

B P x A

A O

Q

P B

p p Note that pıx0   , ı < x0 . Therefore, taking 0 < ı  x0 , we conclude t u that jx  x0 j < ı ) jf .x/  f .x0 /j < , as wished. In what comes next, we establish the continuity of the sine and cosine functions. To this end, we shall need the following auxiliary result. Lemma 8.7 For every x 2 R, we have j sin xj  jxj. Proof Firstly, let’s show that sin x  x whenever 0  x  2 . This inequality is obvious for x D 0; for 0 < x  2 , mark (cf. Fig. 8.5) point P in the first quadrant of _

the unit circle such that `.AP/ D x.

!

Letting P0 be the symmetric of P with respect to AA0 and Q the intersection of _

_

P0 P and A0 A, we have P0 P D 2 QP and `. P0 P/ D 2`. AP/. Since the length of every arc of a circle is greater than that of the corresponding chord, we get _

_

2 sin x D PP0 < `.PP0 / D 2`.AP/ D 2x: Now, since sin.x/ D  sin x, it’s immediate that j sin xj  jxj for jxj  Finally, for jxj > 2 , we have j sin xj  1
0. We close this section by examining the continuity of a composition. In this sense, the coming result is known as the chain rule for continuous functions. Proposition 8.12 If X; Y  R are unions of intervals and f W X ! Y, g W Y ! R are continuous functions, then g ı f W X ! R is also continuous. Proof Let x0 2 X and y0 D f .x0 /. Given  > 0, the continuity of g guarantees the existence of ı > 0 such that y 2 Y; jy  y0 j < ı ) jg.y/  g.y0 /j < :

(8.3)

On the other hand, the continuity of f assures the existence of ı 0 > 0 such that x 2 X; jx  x0 j < ı 0 ) j f .x/  f .x0 / j < ı: „ƒ‚… „ƒ‚… y

y0

Therefore, it follows from the above relations (with y D f .x/ in (8.3)) that x 2 X; jx  x0 j < ı 0 ) jf .x/  f .x0 /j < ı ) jg.f .x//  g.f .x0 //j < ; thus establishing the continuity of g ı f at x0 .

t u

The two coming examples show typical applications of the chain rule for continuous functions. Example 8.13 Function f W R ! R, given by f .x/ D sin.x2 /, is continuous. Indeed, if g; h W R ! R are given by g.x/ D sin x and h.x/ D x2 , then g and h are continuous and f D g ı h; hence, the chain rule assures the continuity of f . Example 8.14 Function f W R ! R, given by s f .x/ D

x4

x2 j sin.x2 /j C 1 ; p C x2 C 2 C j sin xj

is continuous. Indeed, since f is the composition of the square root function (which x2 j sin.x2 /jC1 p is continuous) with the function g W R ! R given by g.x/ D x4 Cx 2 C2C j sin xj , the chain rule assures that it suffices to establish the continuity of g. Now, g is the

8.1 The Concept of Continuity

253

p quotient of the functions x 7! x2 j sin.x2 /j C 1 and x 7! x4 C x2 C 2 C j sin xj, which are continuous by the previous examples, together with the chain rule. Finally, observe that both the numerator and denominator of g.x/ are positive. Let us finish this section with a result on the set of points of discontinuity of monotonic functions. Proposition 8.15 If I  R be an interval and f W I ! R is an nondecreasing function. then the set of points of discontinuity of f is finite or countably infinite. Proof Let D D fx0 2 II x0 is not an endpoint of I and f is discontinuous at x0 g: For each x0 2 D, let mx0 D supff .x/I x 2 I and x < x0 g and Mx0 D infff .x/I x 2 I and x > x0 g. Problem 13 guarantees that mx0 < M  x0 . Now, Problem 4, page 206 guarantees that we can choose rx0 2 Q \ mx0 ; Mx0 . On the other hand, if x0 < y0 are both in D, the fact that f is nondecreasing gives x C y 0 0  my 0 ; Mx0  f 2     so that the intervals mx0 ; Mx0 and my0 ; My0 are disjoint. Hence, the correspondence x0 7! rx0 defines an injective function from D into Q, and it follows from Problem 21, page 172, that D is finite or countably infinite. u t In the notations of the statement of the previous proposition, we call the reader’s attention to the fact that Problem 14 will guarantee that every countably infinite subset of I is the set of points of discontinuity of a nonincreasing function.

Problems: Section 8.1 1. Prove that: (a) The function f W R n f0g ! R, given by f .x/ D 1x , has the intermediate value property and is continuous, but the function f W R ! R given by 1 ; if x ¤ 0 f .x/ D x 0; if x D 0 doesn’t have such property. (b) The function f W R ! R, given by  f .x/ D

x2 C 1; if x  0 x; if x < 0

doesn’t have the intermediate value property.

254

8 Continuous Functions

2. Let I  R be an interval and f W I ! R be a continuous function. For a fixed x0 2 I, let g W I ! R be the function given by  g.x/ D

c; if x D x0 : f .x/; if x ¤ x0

Show that g is continuous if and only if c D f .0/, i.e., if and only if g D f . 3. In each of the following items, find out whether there exists a real value of c that turns the function f W R ! R into a continuous one. Justify your answers. 8 < 3x  2; if x < 0 (a) f .x/ D c; if x D 0 . : 2; if x > 0  x cos x; if x ¤ 0 (b) f .x/ D . c; if x D 0

8 < 3x  2; if x < 0 . (c) f .x/ D c; if x D 0 : 2 x ; if x > 0 1 ; if x ¤ 0 (d) f .x/ D x . c; if x D 0

4. * Prove that every function continuous in the sense of relation (8.1) is continuous in the sense of Definition 8.2, and vice-versa. 5. * Let D D R n f=2 C kI k 2 Zg. Use the discussion at the paragraph that precedes Example 8.9 to establish the continuity of the tangent function, tan W D ! R : x 7! tan x 6. If f W X ! R is a continuous function, explain why the function jf j W X ! R is also continuous. 7. Use the results of this section to establish the continuity of the function f W p xC1 Œ1; C1/ ! R, given by f .x/ D cosx3 C2 . 8. Let n >p1 be a natural number and f W Œ0; C1/ ! R be the n-th root function, f .x/ D n x for x  0. (a) Show that f is continuous at x0 D 0. (b) If x0 > 0 and x  0, show that jx  x0 j jf .x/  f .x0 /j D p p p p n n n n1 n2 . x/ C . x/ x0 C    C . n x0 /n1 1 < p  jx  x0 j: . n x0 /n1 (c) Use the result of (b) to conclude that f is continuous at x0 . 9. Use the results of this qsection to establish the continuity of the function f W R ! R, given by f .x/ D

3

x4 2x3 C1 . x2 C1

8.1 The Concept of Continuity

255

10. Justify the continuity of the function f W R ! R, given by  f .x/ D

0; if x D 0 : x sin 1x ; if x ¤ 0

11. * The Dirichlet function1 is the function f W Œ0; 1 ! R such that  f .x/ D

0 if x … Q : 1 if x 2 Q

Prove that f is discontinuous at every x 2 Œ0; 1. 12. Let f W Œ0; 1 ! R be the function given by  f .x/ D

0; if x … Q : 1 ; if x D mn with m 2 ZC ; n 2 N and gcd.m; n/ D 1 n

Prove that f is discontinuous at every rational number and continuous at every irrational number2 of the interval Œ0; 1. 13. Let I  R be an interval and f W I ! R be a nondecreasing function. If x0 2 I is not an endpoint of I, then supff .x/I x 2 I and x < x0 g  infff .x/I x 2 I and x > x0 g; with equality if and only if f is continuous at x0 . 14. Let D D fx1 ; x2 ; x3 ; : : :g be an arbitrary countably infinite set of reals. Let f W R ! R be given by f .x/ D

X 1 ; 2n n2NI

xn 0, there exists ı > 0 such that x 2 I; jx  aj < ı ) jf .x/  f .a/j < : Now, let .an /n1 be a sequence of elements of I converging to a. Then, there exists n0 2 N such that n > n0 ) jan  aj < ı: Taking together the two conditions above, we get n > n0 ) jan  aj < ı ) jf .an /  f .a/j < ; which is the same as saying that limn!C1 f .an / D f .a/. Conversely, suppose that f is not continuous at a 2 I. Then, the definition of continuity guarantees the existence of  > 0 such that, for every ı > 0, we have jf .x/  f .a/j   for some xı 2 I satisfying jxı  aj < ı. In particular, taking ı D 1n , with n 2 N, and writing an D x1=n , we get jan  aj
0 and an D

p n

n

a, then an ! 1.

Proof We make the proof in the case a  1, the proof in the case 0 < a < 1 being completely analogous. If a  1, then an  anC1  1, for every n 2 N. Hence, the sequence .an /n1 is monotonic and bounded, thus convergent. Setting l D limn!C1 an , it follows from item (a) of Proposition 7.15 that l  1. On the other hand, the continuity of the square root function (according to Example 8.6) and the previous result guarantee that p n n p n p an ! l ) an ! l ) a2n ! l; p where in the last implication we used the fact that an D a2n . Since every subsequence of a convergent sequence converges to the same limit n of the whole sequence, we havepa2n ! l. Therefore, the uniqueness of limits of convergent sequences gives l D l, so that l D 1. t u Example 8.18 (Sweden) Find all continuous functions f W R ! R such that f .x/ C f .x2 / D 0, for every x 2 R. Solution If f is any function satisfying the stated conditions, we shall show that f is identically zero. Making x D 0 and x D 1, we get f .0/ D 0 and f .1/ D 0. Now, for x > 0 and applying the stated condition several times, we get p p p f .x/ D f . x/ D f . 4 x/ D f . 8 x/ D    : p n In particular, jf . 2 x/j D jf .x/j for every n 2 N. p n n Letting an D 2 x, we already know that an ! 1. On the other hand, since jf j is also continuous, Theorem 8.16 guarantees that n

jf .an /j ! jf .1/j D 0: n

However, since jf .an /j D jf .x/j for every natural n, we also have jf .an /j ! jf .x/j. Therefore, the uniqueness of the limit of a convergent sequence gives jf .x/j D 0. Finally, for x < 0 we have x2 > 0. Hence, by what we’ve done above, f .x2 / D 0, so that f .x/ D f .x/ C f .x2 / D 0. t u Theorem 8.16 allows us to easily prove the claims made at the paragraph that precedes Example 8.9. We start by establishing the continuity of the sum and product of two continuous functions. Proposition 8.19 If f ; g W I ! R are continuous at x0 2 I, then f ˙ g; f  g W I ! R are also continuous at x0 . Proof Let .an /n1 be a sequence in I, such that limn!C1 an D x0 . According to Theorem 8.16, the continuity of f and g at x0 gives lim f .an / D f .x0 /

n!C1

and

lim g.an / D g.x0 /:

n!C1

258

8 Continuous Functions

It thus follows from item (b) of Proposition 7.18 that lim .f ˙ g/.an / D lim .f .an / ˙ g.an //

n!C1

n!C1

D lim f .an / ˙ lim g.an / n!C1

n!C1

D f .x0 / ˙ g.x0 / D .f ˙ g/.x0 /: Hence, once more from Theorem 8.16, we conclude that f ˙ g are continuous at x0 . The reasoning for f  g uses item (c) of Proposition 7.18 and is totally similar to what we did above, so that it will be left to the reader. t u Before we look at the continuity of the quotient of two continuous functions, we need an auxiliary result, known as the sign-preserving lemma for continuous functions and which is important in itself. Lemma 8.20 Let I  R be an interval and f W I ! R be a continuous function. If x0 2 I is such that f .x0 / > 0 (resp. f .x0 / < 0), then there exists ı > 0 such that x 2 I; jx  x0 j < ı ) f .x/ >

f .x0 / f .x0 / .resp. f .x/ <  /: 2 2

In particular, f is still positive (resp. negative) in I \ .x0  ı; x0 C ı/. Proof Let’s do the proof in the case f .x0 / > 0, the proof in the other case being totally analogous. The definition of continuity guarantees that, for  D f .x20 / > 0, there exists ı > 0 such that x 2 I; jx  x0 j < ı ) jf .x/  f .x0 /j <  D

f .x0 / : 2

On the other hand, this inequality implies f .x/  f .x0 / >  or, which is the same, f .x/ >

f .x0 / , 2

f .x0 / 2

for every x 2 I \ .x0  ı; x0 C ı/.

t u

If g W I ! R is continuous at x0 2 I and such that g.x0 / ¤ 0, the sign-preserving lemma assures the existence of ı > 0 such that g doesn’t vanish in the open interval J D I \ .x0  ı; x0 C ı/. Hence, by restricting g to J, if necessary, we can suppose, without loss of generality, that g doesn’t vanish in I. Proposition 8.21 Let f ; g W I ! R be continuous at x0 2 I. If g doesn’t vanish in I, then gf W I ! R is continuous at x0 . Proof As in the proof of the previous proposition, if .an /n1 is a sequence in I, such that limn!C1 an D x0 , then lim f .an / D f .x0 /

n!C1

and

lim g.an / D g.x0 /:

n!C1

8.2 Sequential Continuity

259

Now, item (e) of Proposition 7.18 gives limn!C1 f .an / f .x0 / f f f .an / .an / D lim D D D .x0 /: n!C1 g n!C1 g.an / limn!C1 g.an / g.x0 / g lim

Invoking Theorem 8.16 once more, we conclude that

f g

is continuous at x0 .

t u

In what comes next, we introduce a stronger notion of continuity, and show that it is equivalent to the usual one for functions defined in intervals I D Œa; b  R. Definition 8.22 A function f W I ! R is uniformly continuous if the following condition is satisfied: for every  > 0, there exists ı > 0 such that x; y 2 I; jx  yj < ı ) jf .x/  f .y/j < :

(8.4)

In words, the difference between the definitions of continuous and uniformly continuous functions is that, for a uniformly continuous function and given  > 0, the number ı > 0 whose existence is assured by the definition depends only on the chosen error  > 0, being the same for all x; y 2 I; on the other hand, in the definition of continuity of a function at a point x0 of its domain, such a ı depends on the error  > 0 as well as on x0 . It is clear from the former definition that every uniformly continuous function is, in particular, continuous: it suffices to make y D x0 , where x0 2 I is arbitrarily chosen. On the other hand, Problems 4 and 6 bring examples of continuous functions which are not uniformly continuous. We now pause to give an example of a uniformly continuous function which will be useful for later purposes (cf. Example 11.22). To this end, for x 2 R we let d.x/ denote the distance of x to the nearest integer, so that  d.x/ D

fxg; if 0  fxg  12 : 1  fxg; if 12  fxg < 1

Example 8.23 In ˇthe above notations, let a > 0 be given. If x; y 2 R are such that ˇ jx  yj < 1a , then ˇd.ax/  d.ay/ˇ  ajx  yj. In particular, x 7! d.ax/ is uniformly continuous. Proof If jx  yj < 1a , then jax  ayj < 1. In this case, the integers closest to ax and ay, if not equal, are consecutive. Assume this is so, and let n and n C 1 be the integers closest to ax and ay, respectively. Then, n  ax < n C

1 < ay < n C 1; 2

260

8 Continuous Functions

so that ˇ ˇ ˇ ˇ ˇ ˇ ˇd.ax/  d.ay/ˇ D ˇ.n C 1  ay/  .ax  n/ˇ D ˇ2n C 1  ay  axˇ ˇ  ˇ 1 1 ˇ ˇ D ˇ n C  ay C n C  ax ˇ 2 2 ˇ ˇ ˇ ˇ 1 1 ˇ ˇ ˇ ˇ  ˇn C  ayˇ C ˇn C  axˇ 2 2 D jay  axj D ajx  yj: For the last part, given  > 0 take ı D minf a1 ; a g > 0. Then, jx  yj < ı ) jx  yj
0 such that, for every ı > 0, we can find x; y 2 Œa; b satisfying jx  yj < ı and jf .x/  f .y/j  : In particular, choosing ı D 1n , with n 2 N, we conclude that there exist elements xn ; yn 2 Œa; b such that jxn  yn j
0 (called the Lipschitz constant of f ) such that jf .x/  f .y/j  cjx  yj; for all x; y 2 I. For example, we saw in Example 8.8 that j sin x  sin yj  jx  yj

4. 5.

6. 7.

and j cos x  cos yj  jx  yj

for all x; y 2 R, so that both sine and cosine functions are lipschitzian, with Lipschitz constant equal to 1. Prove that every lipschitzian function f W I ! R is uniformly continuous. For an integer n > 1, show that the function f W R ! R, given by f .x/ D xn , is not uniformly continuous. Let I  R be an interval and f W I ! R be a continuous function. Suppose that there exist  > 0 and sequences .an /n1 and .bn /n1 in I, such that jan  n bn j ! 0, but jf .an /  f .bn /j   for every n  1. Show that f is not uniformly continuous. Show that the function f W .0; C1/ ! R, given by f .x/ D sin 1x , is not uniformly continuous. The purpose of this problem is to present another proof of Theorem 8.26. To this end, recall that Corollary 8.25 assures the boundedness of a continuous function f W Œa; b ! R, so that there exist m D infff .x/I x 2 Œa; bg and M D supff .x/I x 2 Œa; bg:

3

It can be shown that the hypothesis of continuity is essential here. More precisely, there exists infinitely many functions f W R ! R such that f .x C y/ D f .x/ C f .y/ for all x; y 2 R but f is not linear. A proof of this fact is beyond the scope of these notes and can be found in [13]. 4 After Rudolf Lipschitz, German mathematician of the XIX century.

8.2 Sequential Continuity

263

Now, do the following items: 1 , for (a) If m … Im.f / and g W Œa; b ! R is the function given by g.x/ D f .x/m every x 2 Œa; b, show that there exist c > 0 such that g.x/  c, for every x 2 Œa; b. (b) Yet under the hypothesis of item (a), conclude that f .x/  m C 1c for every x 2 Œa; b and arrive at a contradiction. (c) Argue in an analogous way to show that M 2 Im.f /.

8. Given real numbers a < b, give an example of a continuous function f W .a; b/ ! R, which is unbounded from above and from below. 9. If f W .a; b/ ! R is a continuous function and P.x0 ; y0 / is a point not belonging to the graph of f , we define the distance from P to Gf , denoted d.PI Gf /, by d.PI Gf / D inff A0 PI A0 2 Gf g: If jy0  f .x0 /j < minfjx0  aj; jx0  bjg, prove that there exists A 2 Gf such that d.PI Gf / D AP. 10. * Let f W R ! R be the polynomial function given by f .x/ D an xn C an1 xn1 C    C a1 x C a0 for x 2 R, where a0 ; a1 ; : : : ; an 2 R and an ¤ 0. If n is even and an > 0, prove that: (a)

f .x/a0 xn f .x/a0 xn

 an 

jan1 j ja1 j jxj      jxjn1 if x 1 Pn1 jD1 jaj j if jxj  1. jxj

¤ 0.

(b)  an  (c) There exists A > 0 such that f .x/ > a0 for jxj > A. (d) There exists x0 2 ŒA; A such that f .x0 / D minff .x/I x 2 Rg. 11. * The purpose of this problem is to prove the famous Banach fixed point theorem5 in the real line. To this end, let 0 < c < 1 and f W R ! R be a function such that jf .x/  f .y/j  cjx  yj; 8 x; y 2 R:

(8.8)

Do the following items: (a) Choose an arbitrary x0 2 R and let .xn /n1 be such that xk D f .xk1 /, for every k 2 N. Prove that jxkC1  xk j  cjxk  xk1 j for every k 2 N. (b) Use the result of Example 7.28 to conclude that .xn /n1 is convergent. (c) If ˛ D limn!C1 xn , use the continuity of f (which is guaranteed by Problem 3) to show that ˛ is the unique fixed point of f .

5

After Stefan Banach, Polish mathematician of the XX century.

264

8 Continuous Functions

12. Give an example of a continuous function f W R ! R, without fixed points and such that jf .x/  f .y/j < jx  yj, for all x; y 2 R. 13. * Let f W Œ0; 1 ! R be a continuous function such that f .r/  0 for every dyadic rational (cf. Problem 5, page 206) r 2 Œ0; 1. Prove that f .x/  0, for every x 2 Œ0; 1. 14. (Berkeley) Let ˛ be a given irrational number. Find all continuous functions f W R ! R such that f .x/ D f .x C 1/ D f .x C ˛/; for every x 2 R.

8.3 The Intermediate Value Theorem In this section, we show that a continuous function defined on an interval does satisfy the intermediate value property. Then, we present several interesting applications of this fact. We start by analysing the following special case, known as Bolzano’s theorem. Theorem 8.27 (Bolzano) Let f W Œa; b ! R be a continuous function. If f .a/f .b/ < 0, then there exists c 2 .a; b/ such that f .c/ D 0. Proof Suppose, without loss of generality, that f .a/ < 0 < f .b/, and let A D fx 2 Œa; bI f is negative on Œa; xg: Since a 2 A by hypothesis, we have A ¤ ;. On the other hand, A is bounded (for, A  Œa; b), so that we can take c D sup A. We shall show that f .c/ D 0. We initially assert that c > a. Indeed, since f .a/ < 0, Lemma 8.20 guarantees the existence of 0 < ı < b  a such that f .x/ < 0 for x 2 Œa; a C ı/; therefore, c  a C ı. Now, suppose f .c/ < 0. Then, c < b (for, f .b/ > 0) and, once more from the sign-preserving lemma, there would exist 0 < ı < b  c such that f is negative in .c  ı; c C ı/. However, since c D sup A, we could take d 2 .c  ı; c/ \ A, so that f < 0 in Œa; d. Hence, we would have f < 0 in Œa; d [ .c  ı; c C ı D Œa; c C ı/, which is in contradiction to the fact that c D sup A. Finally, suppose f .c/ > 0. Then (by invoking the sign-preserving lemma yet another time), there would exist ı > 0 such that f is positive in .c  ı; c C ı/ \ Œa; b; in particular, A \ .c  ı; c D ;, and we would have sup A  c  ı, which is also a contradiction. Therefore, the only left possibility is that f .c/ D 0. t u Example 8.28 If f W R ! R is a polynomial function of the form

8.3 The Intermediate Value Theorem

265

f .x/ D an xn C an1 xn1 C    C a1 x C a0 ; with a0 ; a1 ; : : : ; an 2 R, an ¤ 0 and n odd, then the image of f is R. In particular, f has at least one real root. Proof Given d 2 R, let g.x/ D f .x/  d. Then, g W R ! R is a polynomial function satisfying the same hypotheses as f and, for c 2 R, we have f .c/ D d if and only if g.c/ D 0. This reasoning reduces the example to proving the existence of c 2 R such that f .c/ D 0. To this end, we shall use Bolzano’s theorem. Without loss of generality, let an > 0. For x ¤ 0, several applications of the triangle inequality give f .x/ a1 an1 a0 C    C n1 C n D an C n x x x x ˇa a1 a0 ˇˇ ˇ n1 C    C n1 C n ˇ  an  ˇ x x x ˇ a ˇ ˇa ˇ ˇa ˇ ˇ 1 ˇ ˇ 0ˇ ˇ n1 ˇ  an  ˇ ˇ      ˇ n1 ˇ  ˇ n ˇ x x x ja1 j jan1 j ja0 j D an       n1  n : jxj jxj jxj If jxj  1, then jxj  jxj2      jxjn , so that f .x/ 1 X  an  jaj jI n x jxj jD0 n1

1 an

Pn1

jD0 jaj j. The argument at the previous paragraph shows that f x.x/ n > 0 at x D ˙A, whenever n o 1 Pn1 > max 1; an jD0 jaj j . However, since n is odd, it follows that f .A/ < 0


A f .A/, and Bolzano’s theorem assures the existence of c 2 ŒA; A such that f .c/ D 0. t u

Our next result is a refinement of Bolzano’s theorem, which shows that every continuous function defined on an interval satisfies the intermediate value property. For this reason, this result is known as the intermediate value theorem (we abbreviate IVT). Theorem 8.29 (IVT) Let f ; g W Œa; b ! R be continuous functions. If f .a/ < g.a/ and f .b/ > g.b/ (or vice-versa), then there exists c 2 .a; b/ such that f .c/ D g.c/. In particular, if a real number d belongs to the interval with endpoints f .a/ and f .b/, then there exists c 2 Œa; b such that f .c/ D d.

266

8 Continuous Functions

Proof For the first claim, note that h D f g is continuous and such that h.a/h.b/ D .f .a/g.a//.f .b/g.b// < 0. Hence, Bolzano’s theorem gives c 2 .a; b/ for which h.c/ D 0, i.e., such that f .c/ D g.c/. The particular case of the second claim is obtained by taking g to be the constant function, equal to d. t u As a first application of the IVT, let us show that the image of a continuous function defined on an interval is also an interval. Corollary 8.30 If I  R is an interval and f W I ! R is a continuous function, then the image of f is also an interval. If I D Œa; b, then there exist real numbers c  d such that Im.f / D Œc; d. Proof Let’s first consider the case I D Œa; b. By Weierstrass Theorem 8.26, there exist xm ; xM 2 Œa; b such that f attains its minimum and maximum values at xm and xM , respectively. Letting f .xm / D c and f .xM / D d, we have Im.f /  Œc; d. On the other hand, for a fixed y 2 Œc; d, the IVT gives a real x, belonging to the interval of endpoints xm and xM and such that f .x/ D y. In particular, Im.f / Œc;S d. For the general case, note that every interval I can be written as I D n1 Œan ; bn , with Œa1 ; b1   Œa2 ; b2   : : : (for instance, if I D .a; b/, we could take an D a C 1n 1 and bn D b  1n , provided n > 2.ba/ —the remaining cases can be dealt with in analogous ways). Now, letting Œcn ; dn  be the image of the interval S Œan ; bn  by f , it’s easy to show that Œc1 ; d1   Œc2 ; d2   : : : and, hence, that S n1 Œcn ; dn  is an interval J. On the other hand, it’s also easy to see that, since I D n1 Œan ; bn , we have [ Im.f / D Œcn ; dn  D J: n1

t u In what follows, we discuss some other interesting applications of the IVT. Example 8.31 Let f W Œ0; 1 ! Œ0; 1 be a continuous function. Prove that there exists a real number 0  c  1 such that f .c/ D c (i.e., prove that f has at least one fixed point). Proof If f .0/ D 0 or f .1/ D 1, there’s nothing left to do; otherwise, suppose f .0/ > 0 and f .1/ < 1. Letting g W Œ0; 1 ! R be the function given by g.x/ D x, we then have f .a/ > g.a/ and f .b/ < g.b/. Hence, the IVT gives 0 < c < 1 satisfying f .c/ D g.c/ or, which is the same, f .c/ D c. t u Example 8.32 (Bulgaria) Let m; n  1 be given integers. For x > 0, compute the number of real solutions of the equation p p p 1 1 1 1 C 2 C 3 C    C m D x C x C 3 x C    C n x: x x x x Solution We claim that the given equation has just one real solution. To this end, note first that, for x > 0 and a natural k, the function x 7! x1k is decreasing, whereas

8.3 The Intermediate Value Theorem

267

p the function x 7! k x is increasing. Now, since a finite sum of increasing functions on the same domain is increasing and a finite sum of decreasing functions on the same domain is decreasing (prove these facts!), we conclude that the functions f ; g W .0; C1/ ! R given by f .x/ D

p p p 1 1 1 1 C 2 C 3 C    C m and g.x/ D x C x C 3 x C    C n x x x x x

are decreasing and increasing, respectively. On the other hand, since the solutions of the given equation correspond to the positive values of x for which f .x/ D g.x/, Problem 1, page 183, guarantees that such equation has at most one real solution. In order to show that a real solution indeed exists, let’s use the IVT, initially observing that both f and g are continuous functions. We then consider two cases separately: • for x > 1, we have p p p 1 1 1 1 and x > x >    > n1 x > n x; < m1 <    < 2 < xm x x x p p so that f .x/ < mx and g.x/ > n n x. In particular, f .x/ < g.x/ if mx < n n x, i.e., if o n n n     x > mn nC1 . Hence, f .x/ < g.x/ for x > max 1; mn nC1 . • for 0 < x < 1, we have p p p 1 1 1 1 and x < x <    < n1 x < n x; > m1 >    > 2 > m x x x x p p m n so that f .x/ > x and g.x/ < n x. In particular, f .x/ > g.x/ if mx > n n x, i.e., if n   n o   n x < mn nC1 . Hence, f .x/ > g.x/ for 0 < x < min 1; mn nC1 . Finally, the previous discussion assures that we can take real numbers 0 < a < 1 < b satisfying f .a/ > g.a/ and f .b/ < g.b/, and the IVT provides c 2 .a; b/ such that f .c/ D g.c/. t u Example 8.33 (Romania) There exists a continuous function f W R ! R such that f .x/ 2 Q , f .x C 1/ … Q‹ Solution Suppose such an f exists, and let g W R ! R be given by g.x/ D f .x C 1/  f .x/. Then, g is continuous (by the chain rule for continuous functions) and, by the stated conditions, transforms every real number into an irrational number. However, since every nondegenerate interval contains irrational numbers (see Problem 4, page 206), the only way of not contradicting the IVT is that g is constant. Thus, there exists an irrational number ˛ such that f .x C 1/  f .x/ D ˛ for every x 2 R. Therefore, f .x C 2/  f .x/ D f .x C 2/  f .x C 1/ C f .x C 1/  f .x/ D 2˛; also for every x 2 R.

(8.9)

268

8 Continuous Functions

We now assert that there exists x0 2 R such that f .x0 / 2 Q. Indeed, take any real number a; if f .a/ is not rational, it follows from the hypotheses that f .a C 1/ is rational, and it suffices to take x0 D a or x0 D a C 1. Finally, for x0 as in the former paragraph, the hypotheses on f guarantee that f .x0 / 2 Q ) f .x0 C 1/ … Q ) f .x0 C 2/ 2 Q: Hence, f .x0 C 2/  f .x0 / 2 Q, which contradicts (8.9) and finishes the proof.

t u

For the coming example, recall that a function f W R ! R is even if f .x/ D f .x/, for every real x. Example 8.34 Let f W R ! R be a continuous function such that f .f .x// D x2 C 1, for every x 2 R. Prove that f is even. Proof First of all, note that for every x 2 R we have f .f .x// D x2 C 1 ) f .f .f .x/// D f .x2 C 1/ ) f .x/2 C 1 D f .x2 C 1/ ) f .x/2 C 1 D f .x/2 C 1 ) f .x/ D ˙f .x/ Now, if f .˛/ D f .ˇ/ D 0, then ˛ 2 C 1 D f .f .˛// D f .0/ D f .f .ˇ// D ˇ 2 C 1; so that ˛ D ˙ˇ and f has at most two zeros. Now, there are three possibilities: • f .x/ ¤ 0, for every real x: by the IVT, f has a constant sign in R. However, since f .x/ D ˙f .x/ for every real x, it follows that f .x/ D f .x/ for every real x, and f is even. • f has a single zero, say at x D ˛: since f .˛/ D ˙f .˛/ D 0, we must have ˛ D ˛, so that ˛ D 0. On the other hand, f .f .0// D 02 C 1 D 1 ) f .0/ ¤ 0 which is a contradiction. • f has exactly two zeros, at x D ˛ and x D ˛, for some ˛ > 0: again by the IVT, f has a constant sign in .˛; ˛/. Let g.x/ D f .x/  x. If f > 0 in .˛; ˛/, then g.0/ D f .0/  0 > 0

and g.˛/ D f .˛/  ˛ D ˛ < 0;

so that there exists 0 < c < ˛ for which g.c/ D 0. If f < 0 in .˛; ˛/, then g.0/ D f .0/  0 < 0

and g.˛/ D f .˛/  .˛/ D ˛ > 0;

8.3 The Intermediate Value Theorem

269

so that there exists ˛ < c < 0 for which g.c/ D 0. In any case, f admits a fixed point c. However, f .c/ D c ) c D f .f .c// D c2 C 1 ) c2  c C 1 D 0; t u

which is impossible.

We close this section by using the IVT to prove the continuity of the inverse of a continuous function defined on an interval. Theorem 8.35 Let I  R be an interval and f W I ! R be a continuous function. Then, f is injective if and only if f is increasing or decreasing. Moreover, in this case: (a) The image J of f is an interval of the same type (i.e., open, half-open or closed) as I. (b) f 1 W J ! I is continuous. Proof If f is not injective, then f is neither increasing nor decreasing. Conversely, if f is neither increasing nor decreasing, then there exist a < b < c in I such that f .a/  f .b/  f .c/ or f .a/  f .b/  f .c/. Suppose that f .a/  f .b/  f .c/ (the other case is entirely analogous) and choose d 2 R such that maxff .a/; f .c/g  d  f .b/: The IVT assures the existence of x0 2 .a; b/ and x1 2 .b; c/ (therefore, x0 ; x1 2 I) such that f .x0 / D d and f .x1 / D d. In particular, f .x0 / D f .x1 / and f is not injective. (a) Corollary 8.30 showed that J is an interval. Since f is injective, we can suppose that f is increasing (again, the case of a decreasing f is analogous). Let I D .a; b/, with a; b 2 R (the remaining cases can also be dealt with in analogous ways). If Im.f / D .c; d or .1; d, with c; d 2 R, take x0 2 .a; b/ such that f .x0 / D d. Since f is increasing, for x 2 .x0 ; b/ we have f .x/ > f .x0 / D d, thus contradicting the fact that f .x0 / 2 Im.f /. Analogously, we show that Im.f / ¤ Œc; d/,Œc; C1/, Œc; d, with c; d 2 R. Therefore, Im.f / is also an open interval. (b) Let’s look at the case of an increasing f , with I D .a; b/ and Im.f / D .c; d/ (once more, the analysis of the other ones is quite similar). We start by observing (according to Problem 8, page 176), that f 1 is also increasing. Now, for a fixed y0 2 .c; d/, let x0 D f 1 .y0 /. Given  > 0, we want ı > 0 such that y 2 .c; d/; jy  y0 j < ı ) jf 1 .y/  f 1 .y0 /j < :

(8.10)

270

8 Continuous Functions

To this end, let ı0 D minfy0  c; d  y0 g and take 0 < ı < ı0 (so that the condition jy  y0 j < ı suffices to guarantee that y 2 .c; d/). Letting x D f 1 .y/, we have y D f .x/ and can rewrite (8.10) in the following way: we want 0 < ı < ı0 such that jf .x/  f .x0 /j < ı ) jx  x0 j < : Notice that we can pick  > 0 so small that x0 ˙ 2 .a; b/ (otherwise, change the originally given  > 0 by a smaller one, so that this additional condition is satisfied). Recalling that f is increasing, take 0 < ı < minfı0 ; f .x0 C /  f .x0 /; f .x0 /  f .x0  /g: Then, f .x/  f .x0 / < ı ) f .x/  f .x0 / < f .x0 C /  f .x0 / ) f .x/ < f .x0 C / ) x < x0 C  and, analogously, f .x/  f .x0 / > ı ) x > x0  : In any case, the choice of ı gives jf .x/  f .x0 /j < ı ) ı < f .x/  f .x0 / < ı )  < x  x0 <  ) jx  x0 j < ; t u

as we wished to show.

As a first application of the previous result, we shall now give an alternative proof for Theorem 7.9 and Problem 8, page 254. Example 8.36 Given n 2 N, the n-th power function is f W R ! R given by f .x/ D xn . If n is even, write also f to denote its restriction to Œ0 C 1/. Since f is continuous, increasing and f .k/ D kn > k for every k 2 N, the IVT gives Im.f / D Œ0; C1/. Hence, for every y  0 there exists a single x  0 such that p xn D y, and we denote by x D n y. The previous theorem now guarantees the continuity of the function f 1 W Œ0; C1/ ! Œ0; C1/ : p n y y 7!

8.3 The Intermediate Value Theorem

271

Analogously, if n is odd, then f is continuous, increasing, Im.f / D R and (letting p n y be as above) f 1 W R ! R p y 7! n y is continuous. In both cases, f 1 is called the n-th root function. The next example establishes the continuity of the inverse trigonometric functions, introduced in Problem 1, page 198. Example 8.37 The restriction of the sine function to the interval Œ 2 ; 2 , which we shall also denote by sin W Œ 2 ; 2  ! Œ1; 1, is a continuous and increasing bijection. The arc-sine function is its inverse arcsin W Œ1; 1 ! Œ 2 ; 2 , so that, for x 2 Œ1; 1 and y 2 Œ 2 ; 2 , arcsin x D y , sin y D x: Thanks to Theorem 8.35, the arc-sine function os increasing and continuous. Similarly, the inverse of cos W Œ0;  ! Œ1; 1 is the arc-cosine function arccos W Œ1; 1 ! Œ0; , which is continuous (again by Theorem 8.35) and decreasing. Note also that, for x 2 Œ1; 1 and y 2 Œ0; , we have arccos x D y , cos y D x:   Finally, the arc-tangent function arctan W R !  2 ; 2 is the inverse of the    restriction tan W  2 ; 2 ! R of the tangent function, so that it is also continuous   and increasing. Also, for x 2 R and y 2  2 ; 2 , we have arctan x D y , tan y D x:

Problems: Section 8.3 1. The continuous function f W .1; 1/ [ .1; C1/ ! R, given by  f .x/ D

x; if x 2 .1; 1/ ; x2 C 1; if x 2 .1; C1/

satisfies f .0/ < 32 < f .2/ but there doesn’t exist any c in the domain of f such that f .c/ D 32 . Why does this example do not contradict the IVT? 2. Compute the number of real solutions of each of the following equations: (a) jxj C 1 D x4 .

272

8 Continuous Functions

(b) cos x D x2 . (c) sin x D 4x . 3. Let f W R ! R be given by f .x/ D x3 sin x, for every x 2 R. Show that its graph intersects every non vertical real line an infinite number of times. 4. Let n > 1 be an integer. Write down an explicit expression for a continuous function f W Œ0; 1 ! Œ0; 1 with exactly n fixed points. 5. * Let I be an interval and X be a nonempty subset of I having the following properties: (i) For every x0 2 X, there exists ı > 0 such that I \ .x0  ı; x0 C ı/  X. (ii) If .an /n1 is a sequence of points of X and l 2 I is such that an ! l, then l 2 X. Show that X D I. 6. (Bulgaria) Let n > 1 be an integer and a1 , a2 , . . . , an be given positive real numbers. Prove that the equation p p p 1 C a1 x C 1 C a2 x C    C 1 C an x D nx has exactly one positive real solution. 7. Let x1 , x2 , . . . , xn be real numbers in the interval Œ0; 1. Prove that there exists x 2 Œ0; 1 such that jx  x1 j C jx  x2 j C    C jx  xn j D

n : 2

8. (Leningrad) Let f W R ! R be a continuous function satisfying, for every x 2 R, the relation f .x/f .x C 2/ C f .x C 1/ D 0. If f .0/  0, show that there exist infinitely many values of x for which f .x/ D 0. 9. (Leningrad) Let f W R ! R be a continuous function such that f .x/f .f .x// D 1, for every real x. If f .1000/ D 999, compute f .500/. 10. (Australia) Find all real values of a for which, for every continuous function f W Œ0; 1 ! R satisfying the condition f .0/ D f .1/, there exists x0 2 Œ0; 1  a such that f .x0 / D f .x0 C a/. 11. Let f W R ! R be such that f .x C 1/f .f .x/ C 1/ C 1 D 0, for every real x. Prove that f is not continuous. 12. Let f W Œ0; 1 ! Œ0; 1 be a continuous function, such that .f ı f /.x/ D x for every x 2 Œ0; 1. (a) Show that f is an increasing or decreasing bijection. (b) If f is increasing, show that f .x/ D x for every x 2 Œ0; 1. (c) Show that there are infinitely many possibilities for f , if it is decreasing. 13. (Leningrad) The continuous functions f ; g W Œ0; 1 ! Œ0; 1 are such that f ı g D g ı f . If f is nondecreasing, prove that there exists 0  a  1 such that f .a/ D g.a/ D a.

8.3 The Intermediate Value Theorem

273

14. (Crux) Let f W R ! R be a continuous function which assumes positive and negative values. Given a natural number k > 2, prove that there exists a nonconstant AP .a1 ; a2 ; : : : ; ak / such that f .a1 / C f .a2 / C    C f .ak / D 0: 15. (TT) Prove that, for each natural number n, the graph of any continuous increasing function f W Œ0; 1 ! Œ0; 1 can be covered by n closed rectangles, each of which having area n12 and sides parallel to the coordinate axis. 16. (Leningrad) Let f W R ! R be a continuous function such that, for every real x, we have f .x C f .x// D f .x/. Prove that f is constant. 17. (Belarus) Find all functions f ; g; h W R ! R such that, for every x; y 2 R, we have f .x C y3 / C g.x3 C y/ D h.xy/:

Chapter 9

Limits and Derivatives

In this chapter we study derivatives of functions and some of their applications. Along the way, we show how to use derivatives to solve the problem of finding the monotonicity (resp. concavity) intervals of a differentiable (resp. twice differentiable) function, as well as to build an accurate sketch of the graph of such functions. In turn, the analysis of such problems will motivate several interesting applications of the concept of derivative to problems of maxima and minima.

9.1 Some Heuristics I As a motivation for what is to come, in this section we heuristically discuss two problems which gave birth to the notion of derivative of a function. Let’s start by trying to define the tangent line to the graph of a function f W .a; b/ ! R at a point A.x0 ; f .x0 // on it, so that x0 2 .a; b/. Taking x1 2 .a; b/ n fx0 g !

and letting B1 .x1 ; f .x1 //, we say that AB1 is a secant to the graph of f and passing !

!

through A. In Fig. 9.1, we consider secants AB1 and AB2 to the graph of f . A little geometric intuition makes it plausible to guess that a generic secant line !

AB should come closer and closer to the tangent line to the graph of f at A, as long as B approaches A along the graph (or, which is the same, as long as x approaches x0 in .a; b/). If x1 2 .a; b/ n fx0 g and B.x1 ; f .x1 //, elementary analytic geometry (cf. Chap. 6 !

of [4], for instance) shows that AB has equation  y  f .x0 / D

 f .x1 /  f .x0 / .x  x0 /I x1  x0

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_9

(9.1)

275

276

9 Limits and Derivatives !

Fig. 9.1 Secants AB1 and ! AB2

B2

y

to the graph of f

f

a

B1

A

x0

x2 x1

x

b

on the other hand, if we can define the line tangent to the graph of f at A, and it is not vertical, then its equation must be of the form y  f .x0 / D m.x  x0 /;

(9.2)

for some m 2 R. Comparing (9.1) and (9.2), and taking into account the discussion at the .x0 / should previous paragraph, we are led to the conclusion that the quotients f .xx11/f x0 approximate m better and better, provided x1 approximates x0 better and better. Thus, we conclude that the line tangent to the graph of f at A is that of Eq. (9.2), where m .x0 / is the limit value of the quotients f .xx11/f , when x1 comes closer and closer to x0 . x0

.x0 / when x1 approaches x0 is the derivative This limit value of the quotients f .xx11/f x0 df of the function f at x0 , which we denote f 0 .x0 / or, in classical notation, dx .x0 /. Writing x in place of x1 , we summarize the previous discussion by “defining”

f .x/  f .x0 / df .x0 / D lim ; x!x0 dx x  x0 where the notation lim means that the closer x is to x0 , the closer to

df .x /. dx 0

x!x0

f .x/f .x0 / xx0

is

Hence, for small values of jx  x0 j, we expect to have df f .x/  f .x0 / .x0 / Š : dx x  x0

Classically, ˇx ˇxthe differences f .x/  f .x0 / and x  x0 were respectively denoted by f ˇx0 and xˇx0 , and were called the variations of f and of the independent variable ˇx in the interval Œx0 ; x. Accordingly, f ˇ is the rate of change of f (with respect to x x0

the independent variable) in the interval Œx0 ; x. Therefore, for small jxx0 j, we have df f ˇˇx .x0 / Š ˇ : dx x x0

9.2 Limits of Functions

277

Now, suppose we are in a situation where x represents time and f represents some quantity that evolves with time. Writing t in place of x and t0 in place of x0 , it follows from the above that df f ˇˇt .t0 / D lim ˇ ; t!t0 t t0 dt so that dfdt .t0 / can naturally be called the instantaneous rate of change of f with respect to t, at instant t0 . As a particular situation of that of the previous paragraph, if f .t/ measures the displacement of a point object along a real line at instant t, then dfdt .t0 / is the instantaneous velocity of the point object at instant t0 , and is the starting point of the discussion of Kinematics at most Physics books. The circle of ideas we developed up to this point, and much more, bears the name of Differential Calculus and is considered to be the creation of two of the most brilliant minds mankind ever produced, Newton and Leibniz.1 The rest of this chapter is devoted to a thorough development of the concepts, results and applications of the Differential Calculus.

9.2 Limits of Functions Let be given a continuous function f W .a; b/ ! R and x0 2 .a; b/. Recalling our intuitive discussion so far, we conclude that if there exists a reasonable notion of tangent line to the graph of f at the point A.x0 ; f .x0 //, and if such a line is not vertical, then its equation must have the form (9.2), where m D lim

x!x0

f .x/  f .x0 / : x  x0

(9.3)

Here, the expression at the right hand side above intuitively represents the limit value .x0 / of the quotients f .x/f as x goes to (i.e., approaches) x0 , provided such a “limit” xx0 exists in a proper sense (to be precised in a while). Since our discussion rests upon rather naive grounds, we start to fix this now by setting some preliminaries and giving a rigorous definition of the notion of limit of a function at a point. Definition 9.1 Given a 2 R, a neighborhood of a is an interval of the form .a  r; a C r/, where r is a positive real number. In this case, we say that r is the radius of the neighborhood .a  r; a C r/ and that each x 2 .a  r; a C r/ approximates a with error less than r. 1

Gottfried Wilhem Leibniz, German mathematician and philosopher of the XVII century. Together with Sir Isaac Newton, Leibniz is considered to be one of the creators of the Differential and Integral Calculus. Some of the notations used in Calculus up to this day go back to Leibniz, having survived the ruthless test of time.

278

9 Limits and Derivatives

Let I  R be an interval, let x0 2 I and f W I n fx0 g ! R be a given function. For a given real number L, our first task is to formulate a precise definition for the claim that f .x/ can be taken as close to L as we wish, provided we take x 2 I sufficiently close to (but different from) x0 . A little reflection allows us to conclude that a reasonable formulation of this concept is obtained if we ask that, to each given neighborhood of L, there exists a neighborhood of x0 that is applied to the former one by f . Since a neighborhood of x0 is completely determined by its radius r, and x 2 .x0  r; x0 C r/ n fx0 g , 0 < jx  x0 j < r; we can summarize the previous discussion in the following definition (see Fig. 9.2). Definition 9.2 Let I  R be an interval, let x0 2 I and f W I n fx0 g ! R be a given function. We say that f has limit L when x goes to x0 , and write lim f .x/ D L;

(9.4)

x!x0

if, to each given real number  > 0, there corresponds a real number ı > 0 such that x 2 I; 0 < jx  x0 j < ı ) jf .x/  Lj < :

(9.5)

In words, (9.5) happens if, to each arbitrarily given error  > 0 for L, there corresponds an error ı > 0 for x0 such that, if x 2 I n fx0 g approximates x0 in I with error less that ı, then f .x/ approximates L with error less than . Geometrically, we want that, to each x 2 I sufficiently close to (but different from) x0 , the point of the graph of f with abscissa x belongs to the gray strip of Fig. 9.2.

y

2

L

a

x0 2δ

Fig. 9.2 Limit of a function at a point

b Gf

x

9.2 Limits of Functions

279

At this point (and as it happened in our study of continuity), it is worth stressing that, to justify the validity of a specific limit by applying the definition given above is the same as to play the following cat and mouse game: to each arbitrarily given error  > 0 for the limit candidate L, we ought to be able to find an error ı > 0 for x0 (which, in general, will depend both on  as on x0 itself) so that the validity of the condition 0 < jx  x0 j < ı for some x 2 I implies jf .x/  Lj < . Having gone through the study of continuity, the reader has surely acquired some familiarity with the dynamics of finding which ı > 0 are adequate to some given  > 0. In spite of this, and as a remembrance, we shall carefully work out two examples below. In all that follows, and whenever there is no danger of confusion, we shall frequently omit explicit references to the domain or codomain of the functions f involved, thus focusing on the expressions that define f .x/ in terms of the independent variable x. Whenever this is so, we shall implicitly assume that the domain of f is the maximal one (cf. Sect. 6.1), whereas its codomain is the set R of real numbers. Examples 9.3 (a) limx!2 .2x C 7/ D 3: let  > 0 be given. Departing from x 2 R such that 0 < jx  2j < ı, we have j.2x C 7/  3j D j  2x C 4j D 2jx  2j < 2ı: Therefore, choosing ı > 0 so that 2ı  , we conclude that x 2 R; 0 < jx  2j < ı ) j.2x C 7/  3j < 2ı  ; as wished. (b) limx!3 x2 D 9: again, let  > 0 be given. Starting with x 2 R such that 0 < jx  3j < ı, we have jx2  9j D jx  3jjx C 3j < ıjx  3 C 6j  ı.jx  3j C 6/ < ı.ı C 6/; where we used the triangle inequality in the next to last passage above. Hence, if it is possible to choose ı > 0 so that ı.ı C 6/  , we will have x 2 R; 0 < jx  3j < ı ) jx2  9j < ı.ı C 6/  ; as wished. It now suffices to show that it is possible to choose such a ı > 0, and to this end we just have to solve the inequality ı.ı C 6/  . By doing so, we get 0 0 works for a given  > 0 is to reason in the following way: starting with an x 2 I such that 0 < jx  x0 j < ı, we estimate from above the error jf .x/Lj in terms of ı, thus getting an inequality of the form jf .x/Lj < E.ı/. Here, E represents a certain function of ı; in item (a) we got E.ı/ D 2ı, whereas in item (b) we found E.ı/ D ı.ı C 6/. Then, we impose that such an error E.ı/ does not surpass , thus finding the appropriate values of ı (usually, this second step reduces to solving, for ı > 0, the inequality E.ı/  ). Finally, if ı > 0 satisfies E.ı/  , then we clearly have that x 2 I; 0 < jx  x0 j < ı ) jf .x/  Lj < E.ı/  ; as wished. Notice that the only difference between the discussion above and that of Sect. 8.1 lies in the fact that, here, we have to start by assuming jx  x0 j > 0, i.e., x ¤ x0 . On the other hand, and as the coming proposition explains, such a difference was not relevant to the previous examples because both functions x 7! 2x C 7 and x 7! x2 are continuous. Proposition 9.4 Let I  R be an interval and f W I ! R be a given function. For x0 2 I, we have f continuous at x0 if and only if lim f .x/ D f .x0 /:

(9.6)

x!x0

Proof First of all, let f be continuous at x0 . Definition 8.2 guarantees that, given  > 0, there exists ı > 0 such that x 2 I; jx  x0 j < ı ) jf .x/  f .x0 /j < : In particular, if x 2 I and 0 < jx  x0 j < ı, we still have jf .x/  f .x0 /j < , so that (9.5) is satisfied. Therefore, limx!x0 f .x/ D f .x0 /. Conversely, let limx!x0 f .x/ D f .x0 /. According to the definition of limit, given  > 0, there exists ı > 0 such that x 2 I; 0 < jx  x0 j < ı ) jf .x/  f .x0 /j < : However, since the condition jf .x/  f .x0 /j <  is trivially satisfied for x D x0 , we can certainly write the implication above as x 2 I; jx  x0 j < ı ) jf .x/  f .x0 /j < : t u

Hence, f is continuous at x0 . x3 3x2 C2

Example 9.5 Given f W R n f˙1g ! R such that f .x/ D x2 1 for every x ¤ ˙1, we want to compute limx!1 f .x/. To this end, we initially observe that 1 is a root of both the numerator and the denominator of the defining expression for f .x/, with

9.2 Limits of Functions

281

x3  3x2 C 2 D .x  1/.x2  2x  2/ and x2  1 D .x  1/.x C 1/. Therefore, on R n f˙1g we have f .x/ D

.x  1/.x2  2x  2/ x2  2x  2 D : .x  1/.x C 1/ xC1

Now, since the function g W R n f1g ! R given by g.x/ D the previous proposition gives

x2 2x2 xC1

is continuous,

3 lim f .x/ D lim g.x/ D g.1/ D  : x!1 x!1 2 A rather important fact on limits of functions is that if limx!x0 f .x/ D L, with L ¤ 0, then there exists a neighborhood of x0 such that f has the same sign of L in all points of its domain which belong to this neighborhood (with the possible exception of x0 itself). This is essentially the content of the coming result, which extends Lemma 8.20 to limits of functions and for this reason is also known as the sign-preserving lemma. Lemma 9.6 Let I  R be an interval, x0 2 I and f W I n fx0 g ! R be a given function. If limx!x0 f .x/ D L, with L ¤ 0, then there exists ı > 0 such that  x2I

and 0 < jx  x0 j < ı )

L=2 < f .x/ < 3L=2; if L > 0 : 3L=2 < f .x/ < L=2; if L < 0

Proof Suppose L > 0 (the other case is completely analogous). By the definition of limit, given  D L2 > 0 there exists ı > 0 such that x 2 I; 0 < jx  x0 j < ı ) jf .x/  Lj < Hence, for each such x we have  L2  f .x/  L < . f .x/ < 3L 2

L 2,

L : 2

which is the same as

L 2

< t u

We now collect some arithmetic properties on limits that pretty much simplify their computation. For item (c) of the coming proposition, it is worth observing the following: given an interval I  R, x0 2 I and g W I n fx0 g ! R such that limx!x0 g.x/ D M ¤ 0, Lemma 9.6 guarantees the existence of r > 0 such that g doesn’t vanish on Jnfx0 g, where J D I\.x0 r; x0 Cr/. Hence, when considering the 1 function 1g such that 1g .x/ D g.x/ , we will always implicitly assume that its domain is restricted to J n fx0 g. Proposition 9.7 Let I  R be an interval, let x0 2 I and f ; g W I n fx0 g ! R be given functions. If limx!x0 f .x/ D L and limx!x0 g.x/ D M, then:

282

9 Limits and Derivatives

(a) limx!x0 .f ˙ g/.x/ D L ˙ M. (b) limx!x0 .f  g/ D L  M. (c) limx!x0 gf .x/ D ML , provided M ¤ 0. Proof In all cases below, we let  > 0 be given. (a) Let’s do the proof for f C g, the proof for f  g being completely analogous. As was previously hinted, our strategy will be to try to estimate j.f Cg/.x/.LCM/j by excess, in terms of jf .x/  Lj and jg.x/  Mj. This is easily accomplished with the aid of the triangle inequality, which gives j.f C g/.x/  .L C M/j D j.f .x/  L/ C .g.x/  M/j  jf .x/  Lj C jg.x/  Mj: Thus, in order that j.f C g/.x/  .L C M/j <  for x 2 I close to (but different from) x0 , it suffices for us to have jf .x/  Lj < 2 and jg.x/  Mj < 2 . Since 2 > 0 and limx!x0 f .x/ D L, limx!x0 g.x/ D M, the definition of limit guarantees the existence of ı1 ; ı2 > 0 such that x 2 I; 0 < jx  x0 j < ı1 ) jf .x/  Lj
0 such that jf .x/  Lj < 1 for every x 2 I such that 0 < jx  x0 j < ı1 , and jg.x/  Mj < 2 for every x 2 I such that 0 < jx  x0 j < ı2 . Hence, setting ı D minfı1 ; ı2 g > 0, we conclude that x 2 I and 0 < jx  x0 j < ı imply both jf .x/  Lj < 1 and jg.x/  Mj < 2 , as needed. (c) The sign-preserving lemma gives ı0 > 0 such that jg.x/j > jMj for all x 2 I 2 satisfying 0 < jx  x0 j < ı0 . Sticking to the notations set forth in the paragraph that immediately precedes this proposition, we look at gf as the function gf W J n fx0 g ! R, where J D I \ .x0  ı0 ; x0 C ı0 /. Since

f g

D f  1g , by item (b) it suffices to show that limx!x0 jMj 2

1 g.x/

D

1 M.

To this

end, and taking into account that jg.x/j > for x 2 J n fx0 g, we obtain (for such an x) ˇ ˇ ˇ 1 jg.x/  Mj 1 ˇˇ 2 ˇ ˇ g.x/  M ˇ D jg.x/jjMj  M 2 jg.x/  Mj: ˇ ˇ 2 ˇ 1 ˇ Therefore, in order that ˇ g.x/  M1 ˇ < , we need to have jg.x/  Mj < M2  . To fulfill the last condition above, we choose (by invoking once more the definition of limit) ı1 > 0 for which x 2 J; 0 < jx  x0 j < ı1 ) jg.x/  Mj
0 and taking x 2 J such that 0 < jx  x0 j < ı, M2  we have jg.x/j < jMj t u 2 and jg.x/  Mj < 2 , as needed.

284

9 Limits and Derivatives

An easy induction allows us to extend the formulas of items (a) and (b) of the previous proposition to a finite number of functions. More specifically, if I is an interval, x0 2 I and f1 ; : : : ; fn W I n fx0 g ! R are such that limx!x0 fj .x/ D Lj for 1  j  n, then lim .f1 ˙ f2 ˙    ˙ fn /.x/ D L1 ˙ L2 ˙    ˙ Ln

(9.7)

lim .f1 f2 : : : fn /.x/ D L1 L2 : : : Ln :

(9.8)

x!x0

and x!x0

In particular, if k 2 N and f W I n fx0 g ! R is such that limx!x0 f .x/ D L, then lim f .x/k D Lk :

x!x0

From now on, we assume the validity of these remarks without further comments. Our next result is usually referred to as the squeezing theorem. As we shall see right after its proof, it is quite useful for the actual computation of limits. Proposition 9.8 Let I be an interval, x0 2 I and f ; g; h W I n fx0 g ! R be such that g.x/ belongs to the interval of ends f .x/ and h.x/ for every x 2 I n fx0 g. If limx!x0 f .x/ D limx!x0 h.x/ D L, then limx!x0 g.x/ exists and is also equal to L. Proof Given  > 0, we want to find ı > 0 for which the conditions x 2 I and 0 < jx  x0 j < ı imply jg.x/  Lj < . To this end, if f .x/  g.x/  h.x/, then f .x/  L  g.x/  L  h.x/  L and is easy to conclude that jg.x/  Lj  maxfjf .x/  Lj; jh.x/  Ljg: If h.x/  g.x/  f .x/, one reaches the inequality above in essentially the same way. Now, the definition of limit gives ı1 ; ı2 > 0 such that x 2 I; 0 < jx  x0 j < ı1 ) jf .x/  Lj <  and x 2 I; 0 < jx  x0 j < ı2 ) jh.x/  Lj < : Therefore, letting ı D minfı1 ; ı2 g > 0 and taking x 2 I such that 0 < jx  x0 j < ı, we get jf .x/  Lj <  and jh.x/  Lj < , so that jg.x/  Lj  maxfjf .x/  Lj; jh.x/  Ljg < : t u Concerning the computation of limits, the coming corollary is quite a useful tool. For its statement, recall that a function f W I ! R is bounded if there exists M > 0 such that

9.2 Limits of Functions

285

jf .x/j  M; 8 x 2 I: Corollary 9.9 Let I be an interval, x0 2 I and f ; g W I n fx0 g ! R be such that f is bounded and limx!x0 g.x/ D 0. Then, limx!x0 f .x/g.x/ D 0, even if limx!x0 f .x/ doesn’t exist. Proof If jf .x/j  M for every x 2 I n fx0 g, then 0  jf .x/g.x/j  Mjg.x/j for every x 2 I n fx0 g. Since limx!x0 jg.x/j D 0 (check this!), it follows from the squeezing principle that limx!x0 jf .x/g.x/j D 0. Therefore, limx!x0 f .x/g.x/ D 0. t u Example 9.10 If f W R n f0g ! R is given by f .x/ D sin 1x , then jf .x/j  1 for every x 2 R n f0g. Since limx!0 x D 0, it follows from the previous proposition that limx!0 x  sin 1x D 0. Note that this result agrees with Problem 10, page 255, and (9.6). The squeezing theorem also allows us to compute the fundamental trigonometric limit, which will reveal itself to be of crucial importance in the next section. Lemma 9.11 limx!0

sin x x

D 1.

Proof Since we wish to compute a limit, we can restrict ourselves to the interval _

_

jxj < 2 . Suppose first that x > 0. Letting `.AB/ D x be the length of the arc AB (cf. Fig. 9.3), we have _

sin x D BD < AB < `.AB/ D x; so that sinx x < 1. On the other hand, it is well known (cf. Chap. 5 of [5], for instance) x that the area of the circular sector AOB equals   2 D 2x , whereas the area of the Fig. 9.3 The fundamental trigonometric limit

C

B

O

D

A

286

9 Limits and Derivatives

triangle AOC equals 12 AC; hence, we have _

x D `.AB/ < AC D tan x; so that cos x < sinx x . Combining the two inequalities deduced above, we obtain cos x
0 such that x 2 I; x0  ı < x < x0 ) jf .x/  Lj < :

(9.10)

(ii) If I \ .x0 ; C1/ ¤ ;, we say that L is the right-handed limit of f as x goes to x0 , and write limx!x0 C f .x/ D L, if, for each given  > 0, there exists ı > 0 such that x 2 I; x0 < x < x0 C ı ) jf .x/  Lj < :

(9.11)

The idea behind the notation x ! x0  (resp. x ! x0 C) should be clear to the reader: we write x ! x0  (resp. x ! x0 C) in left-handed (resp. right-handed)

9.2 Limits of Functions

287

y 2

L

a

x0

b

δ

x

Gf

Fig. 9.4 The right-handed limit limx!x0 C f .x/

limits, for x approaches x0 from the left (resp. from the right), i.e., through values smaller (resp. larger) than x0 itself. In yet another way, when x ! x0  (resp. x ! x0 C), we have x D x0  .something positive/ (resp. x D x0 C .something positive/). Figure 9.4 gives a geometric interpretation for the notion of right-handed limit. Note that, for 0 < jx  x0 j < ı, the point .x; f .x// only belongs to the gray strip if x0 < x < x0 C ı. We left to the reader the task of drawing a figure that provides the analogous geometric interpretation for left-handed limits. Yet with respect to one-sided limits, it is immediate to state and prove for them results analogous to those of Proposition 9.7 (cf. Problem 4). We also stress that, for a function f W .a; x0 / ! R, the notions of limite and left-handed limit of f at x0 coincide (for, there is simply no way of approaching x0 from the right, while belonging to the domain of f ). Thus, in such a case we shall generally write limx!x0 f .x/ D L instead of limx!x0  f .x/ D L. Obviously, for a given function f W .x0 ; b/ ! R, analogous remarks are true for limits and right-handed limits at x0 . In this respect, see also Problem 5. We close this section by defining the notions of infinite limits and limits at infinity, and sketching some elementary (though useful) results on them. Definition 9.13 Let be given an interval I, a point x0 2 I and a function f W I n fx0 g ! R. We write lim f .x/ D C1

x!x0

if, for any given M > 0, there exists ı > 0 such that x 2 I; 0 < jx  x0 j < ı ) f .x/ > M: We leave to the reader the task of stating definitions analogous to the one above for the concepts of limx!x0 f .x/ D 1 and limx!x0 ˙ f .x/ D ˙1.

288

9 Limits and Derivatives

The next result establishes two simple, yet useful, arithmetic rules for infinite limits. Since its proof resembles that of Proposition 9.7, we also leave it as an exercise for the reader. Proposition 9.14 Let be given an interval I, a point x0 2 I and functions f ; g W I n fx0 g ! R. (a) If lim f .x/ D L > 0 and lim g.x/ D ˙1, then lim f .x/g.x/ D ˙1. x!x0

x!x0

x!x0

x!x0

x!x0

x!x0

(b) If lim f .x/ D L < 0 and lim g.x/ D ˙1, then lim f .x/g.x/ D 1. The prototype of infinite limits are those collected in the coming example, whose proof is also an easy exercise for the reader. Example 9.15 1 , then limx!x0 f .x/ D C1. (a) If f W .x0 ; C1/ ! R is given by f .x/ D xx 0 1 (b) If f W .1; x0 / ! R is given by f .x/ D xx0 , then limx!x0 f .x/ D 1.

Let’s now turn our attention to limits at infinity. Definition 9.16 Given f W .a; C1/ ! R and L 2 R, we write limx!C1 f .x/ D L if, for a given  > 0, there exists A > a such that x > A ) jf .x/  Lj < : As before, we leave to the reader the task of stating definitions analogous to the above one for limx!1 f .x/ D L and limx!˙1 f .x/ D ˙1. On the other hand, note that Propositions 9.7, 9.8 and 9.14 remain true if we change I n fx0 g by .a; C1/ (resp. .1; b/) and x0 by C1 (resp. 1); moreover, the proofs of the corresponding results in these cases are essentially the same. Let us see an interesting (and useful) example of application of Proposition 9.14. Example 9.17 Let n 2 N and f W R ! R be the polynomial function given by f .x/ D an xn C an1 xn1 C    C a1 x C a0 ; with a0 ; a1 ; : : : ; an 2 R and an > 0. Prove that: (a) If n is even, then limjxj!C1 f .x/ D C1. (b) If n is odd, then limx!˙1 f .x/ D ˙1. Proof Since limjxj!C1 xn D C1 if n iseven, limx!˙1 xn D ˙1 if n is odd and a1 a0 limjxj!C1 an C an1 x C    C xn1 C xn D an (verify these claims!), it suffices to write  a1 an1 a0 C    C n1 C n f .x/ D xn an C x x x and, then, apply Proposition 9.14 (with ˙1 in place of x0 ).

t u

9.2 Limits of Functions

289

One of the most important applications of infinite limits and limits at infinity is in identifying horizontal and vertical asymptotes of (the graph of) a function, according to the coming Definition 9.18 If I is an interval, x0 2 I and f W I n fx0 g ! R is a function such that limx!x0 f .x/ D ˙1, then we say that line x D x0 is a vertical asymptote of (the graph of) f . Analogously, if f W .a; C1/ ! R (resp. f W .1; b/ ! R) is such that limx!C1 f .x/ D L (resp. limx!1 f .x/ D L), then we say that line y D L is a horizontal asymptote of (the graph of) f . Examples 9.19 (a) Figure 6.17 sketches the graph of the tangent function in the interval . 2 ; 2 /. In view of the limits limx! 2 sin x D 1 and limx! 2 cos x D 0, it follows from Proposition 9.14 that limx! 2 tan x D C1. Analogously, limx! 2 tan x D 1, so that lines x D ˙ 2 are vertical asymptotes of this graph. 2x (b) Figure 9.5 sketches the graph of f W R n f1g ! R, given by f .x/ D xC1 . This graph can be obtained from that of the inverse proportionality function (cf. Fig. 6.14) with the aid of Problem 10, page 194. Indeed, since 2x C 2  2 2 2x D D2 ; xC1 xC1 xC1

(9.12)

y

(0, 2)

(−1, 0) O

Fig. 9.5 Graph of x 7!

2x xC1

x

290

9 Limits and Derivatives

we can sketch the graph of f in the following way: firstly, we sketch the graph of x 7! 1x ; then, we translate it one unit to the left, thus getting the graph of 1 x 7! xC1 ; thirdly, we stretch this second graph in the vertical direction by factor 2 ; we then reflect the result along the horizontal 2, obtaining the graph of x 7! xC1 2 ; we end by translating this last graph axis, arriving at the graph of x 7!  xC1 2x . two units above, thus finally obtaining the graph of x 7! xC1 1 Since limx!1˙ 2x D 2 and limx!1˙ xC1 D ˙1, it follows from 2x Proposition 9.14 that limx!1˙ xC1 D 1, so that line x D 1 is indeed a vertical asymptote of the graph. On the other hand, it easily follows from (9.12) 2x that limx!˙1 xC1 D 2, so that line y D 2 is a horizontal asymptote of the graph. Finally, note that these results are in perfect accordance with the geometric intuition given by the sketch of the graph.

Problems: Section 9.2 1. Let I be an interval and x0 2 I. Given a function f W I n fx0 g ! R, prove that if limx!x0 f .x/ exists, then it is unique. 2. * Let I be an interval, x0 2 I and f ; g W I n fx0 g ! R be such that there exist limx!x0 f .x/ D L and limx!x0 g.x/ D M. If f .x/  g.x/ for every x 2 I n fx0 g, prove that L  M. 3. * Establish the generalizations of items (a) and (b) of Proposition 9.7, as discussed right after the proof of it. 4. * Extend Proposition 9.7 to one-sided limits. 5. * Let f W .a; b/ ! R be a given function, and x0 2 .a; b/. Prove that limx!x0 f .x/ exists if and only if the one-sided limits limx!x0 C f .x/ and limx!x0  f .x/ exist and are equal. In this case, show also that limx!x0 f .x/ equals this common value. 6. Prove Proposition 9.14 and its analogue for limits at infinity. 7. * Let 1  a < b  C1 and f W .a; b/ ! R be a continuous and increasing (resp. decreasing) function. If limx!aC f .x/ D L and limx!b f .x/ D M, with 1  L; M  C1, prove that Im .f / D .L; M/. 8. Compute the following limits: x sin x sin 2 .x1/ (a) limx!0 1cos (d) limx!1 x1 . x. x (b) limx!0 1cos . cos. x / 2 x (e) limx!1 x12 . sin.2x/ p 3 (c) limx!0 sin.3x/ (f) limx!0 1 x2cos x . 9. If f ; g W .a; C1/ ! R are such that f is bounded and limx!C1 g.x/ D 0, prove that limx!C1 f .x/g.x/ D 0. Then, use this fact to compute the two limits below: (a) limx!C1 (b) limx!C1

sin x . x sin x . xCcos x

9.2 Limits of Functions

291

10. * Let I be an interval, x0 2 I and f W I n fx0 g ! R be such that limx!x0 f .x/ D L. If .an /n1 is a sequence in I n fx0 g satisfying limn!C1 an D x0 , prove that limn!C1 f .an / D L. Then, use this fact to conclude that limx!0 sin 1x does not exist. 11. * Given f W .A; C1/ ! R, we say that line y D axCb is an oblique asymptote (of the graph) of f provided limx!C1 .f .x/  .ax C b// D 0. If this is so, prove that a D lim

x!C1

f .x/ x

and b D lim .f .x/  ax/: x!C1

Then, elaborate the concept of oblique asymptote y D axCb for f W .1; A/ ! R and show how to compute a and b in such a case. 12. In each of the following items, find out (cf. previous problem) the horizontal, vertical and oblique asymptotes of the given function: (a) f W R n f0g ! R such that f .x/ D x C 1x for every real x ¤ 0. p (b) f W R n .a; a/ ! R such that f .x/ D ba x2  a2 for jxj  a. (Notice— cf. Chap. 6 of [4], for instance—that the graph of f is the portion of the 2 2 hyperbola ax2  by2 D 1 situated in the upper semiplane of the cartesian plane.) (c) f W .0; C1/ ! R such that f .x/ D x2 sin 1x for x > 0. q  p p p xC xC x x . 13. Compute limx!C1 14. Let f W .0; C1/ ! .0; C1/ be an increasing function. If limx!C1 prove that limx!C1

f .nx/ f .x/

f .2x/ f .x/

D 1,

D 1 for every n 2 N.

p 15. Let .an /r n1 be the sequence defined by a1 D 2 2 and, for an integer n > 1, q p p n an D 2 2  2 C 2 C    C 2, with n square root signs. In this respect, do the following items: q p p (a) If bn D 2 C 2 C    C 2 for n > 1, with n1 square root signs, show that b2n D 2 C bn1 and conclude that bn < 2 for every n > 1. (b) Write bn D 2 cos n , with 0 < n < 2 , to conclude that n D 12 n1 for every n > 2. (c) Show that an D 2nC1 sin 2n D 2nC1 sin 21n . Then, use this fact to show that limn!C1 an D . 16. (IMO) Find all functions f W .0; C1/ ! .0; C1/ satisfying the following conditions: (a) f .xf .y// D yf .x/ for all x; y > 0. (b) limx!C1 f .x/ D 0.

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9 Limits and Derivatives

9.3 Basic Properties of Derivatives With the concept of limit at our disposal, we return to the discussion that lead to (9.3). Definition 9.20 Let I  R be an open interval and f W I ! R be a given function. For a fixed x0 2 I, we say that f is differentiable at x0 if the limit lim

x!x0

f .x/  f .x0 / x  x0

does exist. In this case, this limit is called the derivative of f at x0 , and is denoted f 0 .x0 /. In the settings of the previous definition, we observe that the existence of f 0 .x0 / is equivalent to the existence of the limit lim

h!0

f .x0 C h/  f .x0 / : h

Indeed, on the one hand, letting x0 C h D x we have h D x  x0 , and obviously h ! 0 , x ! x0 . On the other hand, when we write f .x0 C h/ we are tacitly assuming that h is so small that x0 C h 2 I; however, since we are computing a limit and I is open, such a supposition doesn’t impose any restriction upon the definition of derivative. In short, f being differentiable at x0 2 I, we have f 0 .x0 / D lim

x!x0

f .x/  f .x0 / f .x0 C h/  f .x0 / : D lim h!0 x  x0 h

(9.13)

From now on, whenever convenient we refer to any one of the fractions above as the Newton’s quotient of f at x0 . The coming examples compute derivatives of some simple functions. Example 9.21 (a) If f W R ! R is a constant function, then f is differentiable and f 0 .x0 / D 0 for every x0 2 R. (b) If n 2 N and f W R ! R is such that f .x/ D xn for every x 2 R, then f is differentiable, with f 0 .x0 / D nxn1 for every x0 2 R. 0 (c) If n 2 Z is negative and f W R n f0g ! R is given by f .x/ D xn , then f is differentiable and f 0 .x0 / D nx0n1 for every x0 2 R n f0g. Proof (a) Let’s apply the first equality in (9.13): letting f .x/ D c for every x 2 R, we get f 0 .x0 / D lim

x!x0

f .x/  f .x0 / cc D lim D lim 0 D 0: x!x x!x0 x  x0 0 x  x0

9.3 Basic Properties of Derivatives

293

(b) Let’s apply the second equality in (9.13): by Newton’s binomial formula, we get ! ! n 1 f .x0 C h/  f .x0 / 1 X n nk k n n n x h  x0 D ..x0 C h/  x0 / D h h h kD0 k 0 ! ! n n X X n nk k1 n nk k1 n1 D x h x h : D nx0 C k 0 k 0 kD1 kD2 Then, successively applying (9.7) and (9.6), we obtain ! ! n X n f 0 .x0 / D lim nx0n1 C x0nk hk1 h!0 k kD2 ! ! n X n nk k1 n1 lim D nx0 C D nx0n1 : x0 h h!0 k kD2 (c) Let n D m, with m 2 N. Then, 1 f .x/  f .x0 / D x  x0 x  x0



1 1  xm xm 0



1 D m m x x0



xm  xm 0 x  x0

 :

Hence, Proposition 9.7 and (9.6) furnish   m  xm  xm x  xm 1 0 0 D  lim m m  lim x!x0 x!x0 x x x!x0 x  x0 x  x0 0  m  x  xm 1 0 : D  2m  lim x0 x!x0 x  x0

f 0 .x0 / D  lim

1 xm xm 0



Now, applying the result of item (b) (with m in place of n), we get f 0 .x0 / D 

1  mx0m1 D mx0m1 D nx0n1 : x2m 0 t u

Example 9.22 The sine and cosine functions are differentiable, with sin0 x0 D cos x0 and cos0 x0 D  sin x0 for every x0 2 R. Proof Let’s do the proof for the sine function, the proof for the cosine function being completely analogous.

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9 Limits and Derivatives

It follows from the product formulas of Trigonometry that   sin h2 sin.x0 C h/  sin x0 h D h  cos x0 C : h 2 2 Since the cosine function is continuous, Proposition 9.7, (9.6) and the fundamental trigonometric limit (cf. Lemma 9.11) give sin0 x0 D lim

h!0

D lim

h!0

sin h2 h 2

sin h2 h 2

  h  cos x0 C 2   h  lim cos x0 C h!0 2

sin h  cos x0 D cos x0 : h!0 h

D lim

t u

Remarks 9.23 Before we proceed with the development of the theory, let’s pause to make two useful remarks. 1. Since derivatives are limits, given a function f W Œa; b/ ! R we can consider the right-handed derivative of f at a, i.e., the one-sided limit fC0 .a/ D lim

x!aC

f .x/  f .a/ ; xa

provided it exists. Accordingly, for f W .a; b ! R we can consider the lefthanded derivative at b, i.e., the limit f0 .b/ D lim

x!b

f .x/  f .b/ xb

(also as before, provided such a limit exists). Moreover, whenever we say that a function f W Œa; b ! R is differentiable, we shall implicitly assume that its derivatives at x D a and x D b are one-sided ones, and shall write simply f 0 .a/ and f 0 .b/ (instead of fC0 .a/ and f0 .b/) to denote them. From now on, such conventions will be in force, without further comments. 2. As in Sect. 9.1, we shall sometimes denote the derivative of a function f at a point df x0 by using Leibniz’s classical notation dx .x0 /, so that df f .x/  f .x0 / .x0 / D lim : x!x dx 0 x  x0 The definition of derivative, together with the heuristic discussion of Sect. 9.1, allows us to present another important

9.3 Basic Properties of Derivatives Fig. 9.6 Tangent to the graph of x 7! 1x

295

y P

A

O

x

Q

Definition 9.24 Let I be an interval and f W I ! R be a function differentiable at x0 2 I. The tangent line to the graph of f at the point .x0 ; f .x0 // is the line that passes through this point and has slope f 0 .x0 /. If f W I ! R is differentiable at x0 , it follows from the definition above and elementary analytic geometry (cf. Chap. 6 of [4], for instance) that the tangent line to its graph at .x0 ; f .x0 // has equation y  f .x0 / D f 0 .x0 /.x  x0 /:

(9.14)

Example 9.25 Let H be the portion of the curve xy D 1 contained in the first quadrant of a cartesian plane,2 and P and Q be points along the axes, such that !

line PQ is tangent to H at the point A (cf. Fig. 9.6). Prove that: (a) AP D AQ. (b) If O is the origin of the cartesian plane, then the area of triangle POQ doesn’t depend on the position of A along H. Proof It is clear that H coincides with the graph of f W .0;C1/ ! R, given by f .x/ D 1x . If x0 > 0 and A is the point .x0 ; f .x0 // D x0 ; x10 , then the line tangent to Gf at A has equation y  x10 D f 0 .x0 /.x  x0 /. Example 9.21 gives f 0 .x0 / D  x12 , so that the equation of the tangent line can be written as y  which is the same, x20 y C x D 2x0 .

1 x0

0

D  x12 .x  x0 / or, 0

 Making x D 0 and then y D 0 in such an equation, we get P 0; x20 and Q.2x0 ; 0/, or vice-versa. In any case, items (a) and (b) follow immediately:

2

Such a portion is a branch of an equilateral hyperbola (cf. Chap. 6 of [4], for instance), but we shall not use this fact.

296

9 Limits and Derivatives

(a) It’s a well know fact (again, see Chap. 6 of [4], for instance) that the midpoint of PQ has abscissa and ordinate respectively equal to 12  x20 D x10 and 12  2x0 D x0 . Hence, such a point coincides with A. (b) Since POQ is a right triangle, we have A.POQ/ D

1 1 2 OP  OQ D   2x0 D 2: 2 2 x0

t u

Continuing with the analysis of the concept of derivative, let’s show that differentiability is stronger than continuity. Proposition 9.26 If a function f W I ! R is differentiable at x0 2 I, then f is continuous at x0 . Proof Note first that, for x 2 I n fx0 g, we have  f .x/ D f .x0 / C

 f .x/  f .x0 / .x  x0 /: x  x0

On the other hand, since we are assuming the existence of limx!x0 f 0 .x0 /, it follows from Proposition 9.7 that

f .x/f .x0 / xx0

D

    f .x/  f .x0 / f .x0 / C .x  x0 / x!x0 x  x0   f .x/  f .x0 / D f .x0 / C lim lim .x  x0 / x!x0 x!x0 x  x0

lim f .x/ D lim

x!x0

D f .x0 / C f 0 .x0 /  0 D f .x0 /: Therefore, Proposition 9.4 assures the continuity of f at x0 .

t u

The coming example shows that there exist continuous functions which are not differentiable in an arbitrary finite set of points of their domains.3 Example P9.27 Given distinct a1 ; a2 ; : : : ; an 2 R, the function f W R ! R such that f .x/ D njD1 jxaj j is continuous, though not differentiable at any of a1 , a2 , . . . , an . Proof The given function is obviously continuous. For what is left to do note that, for a fixed 1  k  n, we have X f .x/ D jx  ak j C jx  aj j; 1jn

j¤k

3 Later, in Chap. 11, we shall see an example of a continuous function f W R ! R that is not differentiable at any point.

9.3 Basic Properties of Derivatives

297

and in an appropriate neighborhood of ak each summand jx  aj j, with j ¤ k, equals x  aj or aj  x. Therefore, it suffices to show that x 7! jx  ak j is not differentiable at ak . For the sake of notation, write f .x/ D jx  aj, with a 2 R. Then, for x ¤ a, we have  jx  aj f .x/  f .a/ 1; if x > a D D : 1; if x < a xa xa .a/ .a/ Hence, limx!aC f .x/f D 1 and limx!a f .x/f D 1, so that Problem 5, xa xa f .x/f .a/ u t page 290, assures that limx!a xa does not exist.

If I  R is an interval and f W I ! R is differentiable at each x0 2 I, we shall simply say that f is differentiable function. In this case, the derivative function f 0 W I ! R of f associates to x 2 I the derivative f 0 .x/ of f at x. If I and J are intervals and f W I ! J is a differentiable bijection, the last proposition guarantees that f is continuous. Moreover, Theorem 8.35 assures that f 1 W J ! I is also continuous. Our next result explains when f 1 is differentiable. Theorem 9.28 Let I and J be intervals and f W I ! J be a differentiable bijection. For x0 2 I and y0 D f .x0 / 2 J, we have f 1 W J ! I differentiable at y0 if and only if f 0 .x0 / ¤ 0. Moreover, if this is so, then .f 1 /0 .y0 / D

1 f 0 .x

0/

:

(9.15)

Proof For h sufficiently close to (but different from) 0, let x D x0 C h, l D f .x0 C h/  f .x0 / and y D y0 C l. Then, y D f .x0 / C l D f .x0 C h/, so that h D .x0 C h/  x0 D f 1 .y0 C l/  f 1 .y0 /: Hence, the continuity of f and f 1 guarantee that h ! 0 , l ! 0. Also, notice that    1  f .x0 C h/  f .x0 / f .y0 C l/  f 1 .y0 / l h D  D 1: h l h l Now, suppose that f 1 is differentiable at y0 . Making h ! 0 (which, as we have just seen, is equivalent to making l ! 0), it follows from item (b) of Proposition 9.7 and the computations above that   1 

 f .y0 C l/  f 1 .y0 / f .x0 C h/  f .x0 / 1 D lim h!0 h l     1 f .x0 C h/  f .x0 / f .y0 C l/  f 1 .y0 / lim D lim h!0 l!0 h l D f 0 .x0 /.f 1 /0 .y0 /: Therefore, f 0 .x0 / ¤ 0 and .f 1 /0 .y0 / D

1 . f 0 .x0 /

298

9 Limits and Derivatives

Conversely, suppose that f 0 .x0 / ¤ 0. Since 1 f 1 .y0 C l/  f 1 .y0 / D ; l .f .x0 C h/  f .x0 //=h item (c) of Proposition 9.7, together with the fact that l ! 0 , h ! 0, furnishes  lim

l!0

f 1 .y0 C l/  f 1 .y0 / l



 1 l!0 .f .x0 C h/  f .x0 //=h   1 1 D lim D 0 : h!0 .f .x0 C h/  f .x0 //=h f .x0 / 

D lim

Therefore, f 1 is differentiable at y0 .

t u

Example 9.29 Let n > 1 be p an integer and f W Œ0; C1/ ! Œ0; C1/ be the n-th root function, i.e., f .x/ D n x D x1=n . Then, f is not differentiable at x D 0 but is differentiable at every x > 0, with f 0 .x/ D 1n  x1=n1 . Proof Recall that f D g1 , where g W Œ0; C1/ ! Œ0; C1/ is such that g.y/ D yn . Hence, it follows from the previous result that f is differentiable at x D g.y/ if and only if g0 .y/ ¤ 0. However, since g0 .y/ D nyn1 , we have f differentiable at x D g.y/ if and only if y ¤ 0por, which is the same, x ¤ 0. In this last case, recalling that x D g.y/ D yn , y D n x, (9.15) gives f 0 .x/ D

1 g0 .y/

D

1 1 1 D p D  x1=n1 : n n1 n1 ny n n. x/ t u

For an important generalization of the previous example, see Problem 4, page 310. We close this section by presenting the concept of higher order derivatives. To this end, let be given an interval I and a function f W I ! R. We say that f is twice differentiable at x0 2 I if there exists a neighborhood .x0  r; x0 C r/ of x0 such that f is differentiable in I \ .x0  r; x0 C r/ and f 0 W I \ .x0  r; x0 C r/ ! R is differentiable at x0 2 I. In this case, we also say that .f 0 /0 .x0 / is the second derivative of f at x0 , and write f 00 .x0 / D .f 0 /0 .x0 /. If f is twice differentiable at each x0 2 I, we shall simply say that f is twice differentiable in I, and let f 00 W I ! R denote its second derivative function. More generally, let k 2 N and suppose we have already defined what is meant by the k-th derivative f .k/ .x0 / of f at x0 2 I. If f is k times differentiable in I (i.e., if f .k/ .x0 / exists for every x0 2 I), we let f .k/ W I ! R denote the k-th

9.3 Basic Properties of Derivatives

299

derivative4 function of f . If f is k times differentiable in a neighborhood .x0  r; x0 C r/ of x0 and f .k/ W I \ .x0  r; x0 C r/ ! R is differentiable at x0 , then we say that f is k C 1 times differentiable at x0 , and write f .kC1/ .x0 / D .f .k/ /0 .x0 / to denote its .k C 1/-th derivative at x0 . If f W I ! R is k times differentiable in I and f .k/ W I ! R is continuous, we shall say that f is k times continuously differentiable (or simply continuously differentiable, if k D 1) in I. Finally, if f is k times differentiable in I for every k 2 N, then we say that f is infinitely differentiable in I. Example 9.30 If n 2 Z n f0g and f W R ! R is given by f .x/ D xn , it easily follows from item (b) of Example 9.21 and Problem 1 that f is infinitely differentiable in R n f0g (in R, if n  0), with f .k/ .x/ D n.n  1/ : : : .n  k C 1/xnk for every k 2 N. In particular, if n  0 and k > n, then f .k/ vanishes identically. Example 9.31 Functions sin; cos W R ! R are infinitely differentiable, with sin.4k/ D sin; sin.4kC1/ D cos; sin.4kC2/ D  sin; sin.4kC3/ D  cos and cos.4k/ D cos; cos.4kC1/ D  sin; cos.4kC2/ D  cos; cos.4kC3/ D sin; for every k 2 N.

Problems: Section 9.3 1. * Let I  R be an interval and f W I ! R be differentiable at x0 2 I. For a fixed c 2 R, prove that: (a) Function g W I ! R given by g.x/ D cf .x/ is differentiable at x0 , with g0 .x0 / D cf 0 .x0 /. (b) Function h W I ! R given by h.x/ D f .x/ C c is differentiable at x0 , with h0 .x0 / D f 0 .x0 /.

Since f .k/ is also used to denote the composition of f W I ! I with itself, k times, we will rely on the context to clear any danger of confusion.

4

300

9 Limits and Derivatives

The next problem establishes a simple particular case of the chain rule (cf. Theorem 9.19). 2. * Let at x0 2 .a; b/. For c > 0 (resp. c < 0), let    f W .a; b/ ! R be differentiable g W ac ; bc ! R (resp. g W bc ; ac ! R) be the function given by g.x/ D f .cx/.   Show that g is differentiable at xc0 , with g0 xc0 D cf 0 .x0 /. 3. * Let I be an interval and k 2 N. If f ; g W I ! R are k times differentiable in x0 2 I, prove that f C g and fg are k times differentiable at x0 . 4. * In Example 8.37, we defined arcsin W Œ1; 1 ! Œ 2 ; 2  and arccos W Œ1; 1 ! Œ0;  as the inverses of sin W Œ 2 ; 2  ! Œ1; 1 and cos W Œ0;  ! Œ1; 1, respectively. Use Theorem 9.28 to prove that the restrictions of arcsin and arccos to the open interval .1; 1/ are differentiable, with 1 arcsin0 x D p 1  x2

and

1 arccos0 x D  p ; 1  x2

para todo x 2 .1; 1/. 5. Compute the indicated derivatives (in each case, assume that the domain of the corresponding function is the maximal one): (a) f 0 .1/; f .x/ D

1 2. 4x p x . p5

(e) (f) (g) (h)

(b) f 0 .2/; f .x/ D (c) f 0 .2/; f .x/ D p3x. (d) f 0 .1/; f .x/ D 3 2x.

f 0 ./;   f .x/ D sin.3x/.   f 0 2 ; f .x/ D 4 cos 3x . f 0 . 14 /; f .x/ D arcsin.2x/. f 0 . 16 /; f .x/ D 2 arccos.3x/.

6. Let f ; g W .a; b/ ! R be differentiable functions whose graphs pass through a given point A. We say that these graphs are tangent to each other at A if their tangent lines at A coincide. In this respect, do the following items: (a) Show that, for m; n 2 N, the graphs of f .x/ D xn and g.x/ D xm are tangent to each other at .0; 0/, but are tangent at .1; 1/ only if m D n. (b) Let f W .a; b/ ! .a; b/ be a differentiable bijection such that f 1 is also differentiable. If the graphs of f and f 1 are tangent to each other at A.x0 ; y0 /, compute the possible values of f 0 .x0 /f 0 .y0 /. 7. Let I  R be an interval and f W I ! R be continuous at x0 2 I. If the function x 7! xf .x/ (x 2 I) is differentiable at x0 , prove that f is also differentiable at x0 . 8. * Let I be an open interval, x0 2 I and f W I ! R be differentiable at x0 , with f 0 .x0 / D L. Given sequences .an /n1 and .bn /n1 in I, with an < x0 < bn for every n  1, show that lim

n!C1

f .bn /  f .an / D L: bn  an

9.3 Basic Properties of Derivatives

301

9. Given a differentiable function f W R ! R, we say that a real number x0 is a root of f provided f .x0 / D 0. Newton’s method5 for the computation of numerical approximations of the roots of f guarantees that, under certain conditions and for an appropriate choice of ˛ 2 R, the sequence .an /n1 defined by a1 D ˛ and anC1 D an  ff0.a.ann// for n  1 (of course assuming f 0 .an / ¤ 0 for every n  1) converges to a root of f . In this respect, do the following items: (a) Show that anC1 is the point at which the tangent line to the graph of f at .an ; f .an // intersects the horizontal axis. (b) Given a > 0, explain how Newton’s method make it natural the definition of the sequence .an /n1 of Problem 19, page 220. p 10. Given R > 0, let f W .R; R/ ! R be given by f .x/ D R2  x2 . Prove that: (a) The graph of f is the upper semicircle of radius R, centered at the origin of the cartesian plane and with diameter along the horizontal axis. (b) For x0 2 .R; R/, we have f 0 .x0 / D  p x20 2 . R x0

(c) Given x0 2 .R; R/ and A.x0 ; f .x0 //, the tangent line to the graph of f , obtained according to Definition 9.24, coincides with the straight line that passes through A and is perpendicular to the radius OA. 11. Let I be an open interval and f W I ! R be a differentiable function. Given a; b 2 R, suppose that there exists a straight line r, tangent to the graph of f and passing through the point .a; b/. If .x0 ; y0 / is the point at which r is tangent to the graph of f , show that 

y0 D f .x0 / : y0  b D f 0 .x0 /.x0  a/

Then, let r and r0 be the straight lines that pass through the point .1; 1/ and 2 are tangent to the parabola y D x4 ; use the system above to find the points at 0 which r e r touch the parabola. For the next problem, the reader may find it helpful to read the proof of Theorem 6.62 again, as well as to review the elementary facts on conics (cf. Chap. 6 of [4], for instance). 12. Let P be the parabola with focus F and directrix d. If P is a point on d and !

!

A; B 2 P are such that AP and BP are tangent to P, show that F 2 AB. For the next problem, the reader may find it convenient to have at his/her disposal an extension of the definition of limx!x0 f .x/ to the case of a function f W X ! R, where X  R is a nonempty set and x0 2 R is the limit of a sequence of distinct elements of X (for instance—and this will p essentially be the case of our interest –, we can have X D Q and x0 D 2). Fortunately, such an extension is formally identical to the one we have already met: we say 5

We shall have more to say on Newton’s method in Problem 7, page 455.

302

9 Limits and Derivatives

that limx!x0 f .x/ exists and is equal to L if, for every  > 0, there exists ı > 0 (depending on ) such that x 2 X and 0 < jx  x0 j < ı ) jf .x/  Lj < : 13. (OIMU) Let f W .0; C1/ ! R be given by ( f .x/ D

0; if x … Q : 1 ; if x D pq with p; q 2 NI gcd.p; q/ D 1 q3

If k 2 N is not a perfect square, show that f is differentiable at x D

p k.

9.4 Computing Derivatives This section is devoted to the presentation of the usual differentiation rules, i.e., formulas that show how to compute derivatives of certain functions constructed in terms of two given differentiable functions. For item (c) of the coming proposition, we recall that if g W I ! R is differentiable at x0 2 I, then g is continuous at x0 ; therefore, if g.x0 / ¤ 0, then there exists an interval J  I, containing x0 and such that g ¤ 0 in J. Thus, we think of gf as defined in such a J. Proposition 9.32 If f ; g W I ! R are differentiable at x0 2 I, then: (a) f ˙ g is differentiable at x0 , with .f ˙ g/0 .x0 / D f 0 .x0 / ˙ g0 .x0 /. (b) fg is differentiable at x0 , with .fg/0 .x0 / D f 0 .x0 /g.x0 / C f .x0 /g0 .x0 /. (c) If g.x0 / ¤ 0, then gf is differentiable at x0 , with  0 f f 0 .x0 /g.x0 /  f .x0 /g0 .x0 / .x0 / D : g g.x0 /2 Proof (a) Let us prove that f C g is differentiable at x0 , with .f C g/0 .x0 / D f 0 .x0 / C g0 .x0 / (the claims relative to f  g can be proved in quite analogous ways). Since f .x/  f .x0 / g.x/  g.x0 / .f C g/.x/  .f C g/.x0 / D C x  x0 x  x0 x  x0 for x 2 I n fx0 g, the arithmetic properties on limits of functions guarantee that, if f 0 .x0 / and g0 .x0 / exist, then .f C g/0 .x0 / also does and

9.4 Computing Derivatives

303

.f C g/.x/  .f C g/.x0 / x  x0   f .x/  f .x0 / g.x/  g.x0 / D lim C x!x0 x  x0 x  x0

.f C g/0 .x0 / D lim

x!x0

D lim

x!x0

f .x/  f .x0 / g.x/  g.x0 / C lim x!x0 x  x0 x  x0

D f 0 .x0 / C g0 .x0 /: (b) Firstly, note that .fg/.x/  .fg/.x0 / D x  x0



   g.x/  g.x0 / f .x/  f .x0 / g.x/ C f .x0 /: x  x0 x  x0

(9.16)

Now, since g is differentiable at x0 , it follows from Proposition 9.26 that g is continuous at x0 , so that lim g.x/ D g.x0 /:

x!x0

Therefore, letting x ! x0 in (9.16) and applying the arithmetic properties on limits of functions, we get lim

x!x0

.fg/.x/  .fg/.x0 / f .x/  f .x0 / D lim  lim g.x/ x!x0 x!x0 x  x0 x  x0 C f .x0 /  lim

x!x0

g.x/  g.x0 / x  x0

D f 0 .x0 /g.x0 / C f .x0 /g0 .x0 /: (c) Let us firstconsider the case in which f is constant and equal to 1, and let us 0 g0 .x0 / 1 show that g .x0 / D  g.x 2 . Since g.x/ ¤ 0 for x 2 J  I, we have for 0/ x 2 J n fx0 g that 1 x  x0



1 1  g.x/ g.x0 /





g.x/  g.x0 / D x  x0

 

1 : g.x/g.x0 /

From the equality above and invoking the differentiability (and continuity) of g at x0 , we get lim

x!x0

1 x  x0



1 1  g.x/ g.x0 /



D g0 .x0 / 

1 : g.x0 /2

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9 Limits and Derivatives

For the general case, we use the particular case above, together with the result of (b):  0      0 f 1 0 1 1 .x0 / C f .x0 / .x0 / D f  .x0 / D f 0 .x0 / .x0 / g g g g D

g0 .x0 / f 0 .x0 /g.x0 /  f .x0 /g0 .x0 / f 0 .x0 /  f .x0 /  D : g.x0 / g.x0 /2 g.x0 /2

t u

Example 9.33 Let f W R ! R be the polynomial function given by f .x/ D an xn C an1 xn1 C    C a1 x C a0 ; with a0 ; a1 ; : : : ; an 2 R and an ¤ 0. Applying Example 9.21 and item (a) of the previous proposition several times, we conclude that f is differentiable, with f 0 .x/ D nan xn1 C .n  1/an1 xn2 C    C 2a2 x C a1 for every x 2 R. Then, f 0 W R ! R is also polynomial, and an easy inductive argument shows that f is indeed infinitely differentiable, with f .nC1/ vanishing identically. For the next example, recall from Trigonometry that the secant function sec W R n f 2 C kI k 2 Zg ! R is given by sec x D cos1 x , for every real x in its domain. Example 9.34 If D D f 2 C kI k 2 Zg, then the tangent function tan W R n D ! R is differentiable, with tan0 x D sec2 x for every x 2 R n D. Indeed, item (c) of the previous proposition, together with the formulae deduced in Example 9.22, furnish tan0 x D

cos2 x C sin2 x 1 sin0 x cos x  sin x cos0 x D D D sec2 x: 2 2 cos x cos x cos2 x

We now show that the arc-tangent function (cf. Example 8.37) is differentiable and compute its derivative.   Example 9.35 Function arctan W R !  2 ; 2 is differentiable, with arctan0 y D for every y 2 R.

1 1 C y2

  Proof First of all, observe that tan0 x D sec2 x ¤ 0 for every x 2  2 ; 2 . Hence, it follows from Theorem 9.28 that arctan is differentiable. Moreover, if y 2 R and x D arctan y, then y D tan x and, thanks to (9.15) and the result of the former example, we get

9.4 Computing Derivatives

305

arctan0 y D

1 1 1 1 D D D : tan0 x sec2 x 1 C tan2 x 1 C y2

t u

The most important of all differentiation rules is the chain rule. Loosely speaking, it establishes the differentiability of the composite of two differentiable functions, and shows how to compute such a derivative. More precisely, let I and J be intervals and g W I ! J and f W J ! I be given functions, with g differentiable at x0 2 I and f differentiable at y0 D g.x0 / 2 J. Suppose that, in some neighborhood I \ .x0  r; x0 C r/ of x0 , equation g.x/ D y0 has x0 as its only root. Then, for x 2 I \ .x0  r; x0 C r/, we can safely write .f ı g/.x/  .f ı g/.x0 / f .g.x//  f .g.x0 // g.x/  g.x0 /  D : x  x0 g.x/  g.x0 / x  x0 Since g is continuous at x0 , we get limx!x0 g.x/ D g.x0 /, so that lim

x!x0

.f ı g/.x/  .f ı g/.x0 / f .g.x//  f .g.x0 // g.x/  g.x0 /  lim D lim x!x0 x!x0 x  x0 g.x/  g.x0 / x  x0 D lim

y!y0

f .y/  f .y0 / 0  g .x0 / D f 0 .y0 /g0 .x0 / y  y0

D f 0 .g.x0 //g0 .x0 /: As we shall see in Theorem 9.19, this formula continues to hold in the general case, albeit the proof is much more involving, for, g.x/ D y0 can have infinitely many solutions in any neighborhood of x0 (for instance, think of g as the function f of Problem 11, and solve the equation g.x/ D 0). Hence, we need to develop some preliminaries. Let I  R be an open interval and f W I ! R be differentiable at x0 2 I. Set I  x0 D fh 2 RI x0 C h 2 Ig; so that I  x0 is an open interval containing 0. Define r W I  x0 ! R by letting r.h/ D f .x0 C h/  f .x0 /  f 0 .x0 /h: Since f is continuous at x0 , we have lim r.h/ D lim .f .x0 C h/  f .x0 /  f 0 .x0 /h/ D 0 D r.0/;

h!0

h!0

so that r is continuous at 0. Also, the definition of f 0 .x0 / gives   f .x0 C h/  f .x0 / r.h/ 0 D lim  f .x0 / D 0: lim h!0 h h!0 h

306

9 Limits and Derivatives

(This last computation, together with r.0/ D 0, actually shows that r is differentiable at 0 with r0 .0/ D 0. Nevertheless, we won’t use this fact here.) Conversely, we have the following auxiliary result. Lemma 9.36 Let I  R be an open interval, f W I ! R be a given function and x0 2 I. If there exists a real number L such that the function r W I  x0 ! R, given by r.h/ D f .x0 C h/  f .x0 /  Lh, satisfies the condition limh!0 r.h/ D 0, then f is h differentiable at x0 , with f 0 .x0 / D L. Proof Since

r.h/ h

D

f .x0 Ch/f .x0 / h

lim

h!0

 L, the condition limh!0

r.h/ h

f .x0 C h/  f .x0 / D L: h

D 0 is equivalent to

t u

Let I be an open interval and f W I ! R be a function continuous at x0 2 I. For every L 2 R, the graph of the affine function h 7! f .x0 / C Lh passes through .x0 ; f .x0 //. This being said, it is frequently useful to rephrase the previous discussion by saying that f is differentiable at x0 if and only if f admits a best affine approximation in a neighborhood of x0 , in the sense of Lemma 9.36. In other words, letting f W I ! R be differentiable at x0 2 I, we have f .x0 C h/ D f .x0 / C f 0 .x0 /h C r.h/;

(9.17)

with r W I  x0 ! R such that limh!0 r.h/ h D 0. On the other hand, if h 7! f .x0 / C Lh is an affine approximation of f in a neighborhood of x0 , such that setting r.h/ D f .x0 C h/  f .x0 /  Lh we have limh!0 r.h/ h D 0, then f is differentiable at x0 and L D f 0 .x0 /. We shall sometimes refer to (9.17), valid for all h 2 I  x0 , as Taylor’s formula of order 1 for f in a neighborhood of x0 . Notice that its real content is captured by the fact that limh!0 r.h/ h D 0 if f is differentiable at x0 . For what comes next, it’s more useful for us to write (9.17) as f .x0 C h/ D f .x0 / C f 0 .x0 /h C R.h/h;

(9.18)

with R W I  x0 ! R given by  R.h/ D

r.h/ h ;

if h ¤ 0 : 0; if h D 0

Notice that the continuity of r implies that of R at every h 2 I  x0 different from 0, whereas condition limh!0 r.h/ D 0 assures that R is continuous also at 0. h Conversely, if f can be written as f .x0 C h/ D f .x0 / C Lh C R.h/h

9.4 Computing Derivatives

307

in I  x0 , with R being continuous in I  x0 and such that R.0/ D 0, then a slight modification of the proof of Lemma 9.36 gives that f is differentiable at x0 , with f 0 .x0 / D L. We can finally state and prove the chain rule in the general case. Theorem 9.37 (Chain Rule) Let I and J be open intervals and g W I ! J and f W J ! R given functions. If g is differentiable at x0 2 I and f is differentiable at g.x0 / 2 J, then f ı g W I ! R is differentiable at x0 , with .f ı g/0 .x0 / D f 0 .g.x0 //g0 .x0 /:

(9.19)

Proof Let y0 D g.x0 /. According to (9.18), the differentiability of f at y0 allows us to write f .y0 C t/ D f .y0 / C f 0 .y0 /t C s.t/t

(9.20)

for every t 2 J  y0 , with s W J  y0 ! R continuous and such that s.0/ D 0. Analogously, the differentiability of g at x0 furnishes, for h 2 I  x0 , g.x0 C h/ D g.x0 / C g0 .x0 /h C r.h/h;

(9.21)

with r W I  x0 ! R continuous and such that r.0/ D 0. Now, for h 2 I  x0 , it follows from (9.21) that .f ı g/.x0 C h/  .f ı g/.x0 / D f .g.x0 C h//  f .g.x0 // D f .g.x0 / C g0 .x0 /h C r.h/h/  f .y0 / D f .y0 C t.h//  f .y0 /; where t.h/ D g0 .x0 /h C r.h/h. Hence, for h 2 I  x0 , it follows from this and (9.20) that .f ı g/.x0 C h/  .f ı g/.x0 / D f .y0 C t.h//  f .y0 / D f 0 .y0 /t.h/ C s.t.h//t.h/ D f 0 .y0 /.g0 .x0 /h C r.h/h/ C s.t.h//t.h/ D f 0 .g.x0 //g0 .x0 /h C f 0 .y0 /r.h/h C s.t.h//t.h/ D f 0 .g.x0 //g0 .x0 /h C f 0 .y0 /r.h/h C s.t.h//.g0 .x0 / C r.h//h D .f ı g/.x0 / D f 0 .g.x0 //g0 .x0 /h C R.h/h; where R.h/ D f 0 .y0 /r.h/ C s.t.h//.g0 .x0 / C r.h// for h 2 I  x0 .

308

9 Limits and Derivatives

Finally, the discussion at the next to last paragraph before the statement of the chain rule guarantees that, in order to show that f ı g is differentiable at x0 and that (9.19) is true, it suffices to prove that R is continuous at I  x0 , with R.0/ D 0. But this is straightforward from the chain rule for continuous functions (cf. Proposition 8.12), together with the fact that r, s and t are continuous, with r.0/ D s.0/ D t.0/ D 0. t u Example 9.38 The chain rule allows us to compute the derivative of the cosine function from that of the sine function. Indeed, since cos x D .sin ıg/.x/, where g W R ! R is given by g.x/ D 2  x, it follows from the chain rule that cos0 x D .sin ıg/0 .x/ D sin0 g.x/  g0 .x/ D cos g.x/  .1/   x D  sin x: D  cos 2 p Example 9.39 Let R > 0 and f W .R; R/ ! R be given by f .x/ D Rp2  x2 . Define g W .0; C1/ ! R and h W .R; R/ ! .0; C1/ by letting g.x/ D x and 1 h.x/ D R2  x2 , so that f D g ı h. Since g0 .y/ D 2p for y > 0, the chain rule gives, y for x 2 .R; R/, x 1  .2x/ D  p : f 0 .x/ D .g ı h/0 .x/ D g0 .h.x//h0 .x/ D p 2 2 h.x/ R  x2 A faster way of using the chain rule to compute the derivative of f at x 2 .R; R/ is this: first write f .x/2 Cx2 D R2 , then differentiate both sides with respect to x (and x with the aid of the chain rule) to get 2f .x/f 0 .x/ C 2x D 0; hence, f 0 .x/ D  f .x/ D x p 2 2 . R x

Example 9.40 We can use the chain rule, together with the formula for differentiation of a product, to establish the differentiation formula for a quotient. To this end, let f ; g W I ! R be differentiable in I, with g.x/ ¤ 0 for every x 2 I. Letting  W R n f0g ! R denote the inverse proportionality function, so that .x/ D x1 for every x ¤ 0, it follows from item (c) of Example 9.21 that  is differentiable, with f .x/  0 .x/ D x2 for every x 2 R n f0g. Now, notice that g.x/ D f .x/  . ı g/.x/ for every x 2 I, so that the formula for differentiation of a product and the chain rule give  0 f .x/ D f 0 .x/  . ı g/.x/ C f .x/  . ı g/0 .x/ g D f 0 .x/ 

1 C f .x/   0 .g.x//g0 .x/ g.x/

D

f 0 .x/ C f .x/.g.x/2 /g0 .x/ g.x/

D

f 0 .x/g.x/  f .x/g0 .x/ : g.x/2

9.4 Computing Derivatives

309

The coming example is considerably more sophisticated than the previous ones. Example 9.41 Prove that f W R ! R, given by f .x/ D sin.x2 /, is not periodic. Proof First of all, note that if f W R ! R is continuously differentiable and periodic, then its derivative f 0 W R ! R, besides being continuous, is also periodic. Indeed, if f .x/ D f .x C p/ for some real p > 0 and every x 2 R, then the chain rule gives f 0 .x/ D f 0 .x C p/ for every x. Therefore, 0 /; Im.f 0 / D Im.fjŒ0;p

and the continuity of f 0 , together with Corollary 8.30, guarantees that f 0 is a bounded function. Now, letting f be the given function and g W R ! R be given by g.x/ D x2 , we have f .x/ D .sinıg/.x/, so that the chain rule furnishes f 0 .x/ D sin0 g.x/  g0 .x/ D 2x cos.x2 /: Hence, if f .x/ D sin.x2 / were periodic, the discussion at the preceding paragraph would guarantee that f 0 would be bounded. Since this is obviously false, we have reached a contradiction. t u The following corollary of the chain rule will be of interest later. Corollary 9.42 Let I and J be open intervals and g W I ! J and f W J ! R given functions. If g is n times differentiable at x0 2 I and f is n times differentiable at g.x0 / 2 J, then f ı g W I ! R is n times differentiable at x0 . Proof We make induction on n, relying on the chain rule for the case n D 1. Assume the corollary to be true when n D k, and let f and g be k C 1 times differentiable at x0 . In a neighborhood of x0 , we have .f ı g/0 D .f 0 ı g/g0 , with f 0 and g0 being k times differentiable at that point. The induction hypothesis guarantees that f 0 ı g is k times differentiable at x0 , from where Problem 3, page 300 (applied to f 0 ı g and g0 ) assures that .f ı g/0 D .f 0 ı g/g0 is also k times differentiable at x0 . Therefore, f ı g is k C 1 times differentiable at x0 . t u

Problems: Section 9.4 1. Compute the derivatives of the given functions, assuming in each case that the function and its derivative are defined in their maximal domains: (a) f .x/ D x3p 2x2 C 7x C 1. (b) f .x/ D x 3 x C x4 .

(c) f .x/ D 1x C x12 (d) f .x/ D cos x C tan x.

310

9 Limits and Derivatives

(e) f .x/ D x3psin x. (f) f .x/ D 7 x.x2 C 4/.

(g) f .x/ D (h) f .x/ D

x2 3x . 2x3 C1 sin x . 1Ccos x

2. Let I be an interval and f W Ip! .0; C1/ be differentiable at x0 2 I. If g W I ! R is given by g.x/ D n f .x/, show that g is differentiable at x0 , with 1 g0 .x0 / D 1n f .x0 / n 1 f 0 .x0 /. 3. Compute the derivatives of the given functions, assuming in each case that the function and its derivative are defined in their maximal domains: (a) (b) (c) (d)

f .x/ D .cos x/2 . 2 f .x/ D cos.x /. p p f .x/ D p1  x 1  x. f .x/ D 1  x cos.x2 /.

(e) f .x/ D arcsin.1  x2 /. 2/ . (f) f .x/ D x arccos.x x2 C1 p tg x

(g) f .x/ D 1Cx3 . (h) f .x/ D sin.sin.cos x//.

4. Let r be a nonzero rational number and f W .0; C1/ ! R be given by f .x/ D xr . Prove that f is differentiable, with f 0 .x/ D rxr1 for every x > 0. For the next problem we recall a few facts on roots of polynomial functions. Given a polynomial function f with real coefficients and degree n > 1, and a real root ˛ of f , the division algorithm for polynomials (cf. Chap. 14 of [5]) guarantees the existence of an integer 1  k  n and a polynomial g of degree n  k such that f .x/ D .x  ˛/k g.x/;

(9.22)

with g.˛/ ¤ 0. In this case, we say that k is the multiplicity of ˛ as a root of f . 5. Let f W R ! R be a nonconstant polynomial function. Show that: (a) If ˛ is a root of f and f .x/ D .x  ˛/k g.x/, with g.˛/ ¤ 0, then, for every x 2 R such that f .x/ ¤ 0, we have f 0 .x/ k g0 .x/ D C : f .x/ x˛ g.x/ (b) If f .x/ D a.x  ˛1 /.x  ˛2 / : : : .x  ˛n /, with a; ˛1 ; : : : ; ˛n 2 R and a ¤ 0, then, for x ¤ ˛1 ; : : : ; ˛n , we have X 1 f 0 .x/ D : f .x/ x  ˛j jD1 n

6. If f W R n f3g ! R is given by f .x/ D 7. Let f W Œ0; C1/ ! R be given by s r f .x/ D

xC

2xC1 x3 ,

xCC

with ten square root signs. Compute f 0 .0/.

compute f .5/ .0/. q xC

p x C 1;

9.4 Computing Derivatives

311

pk .x/ 8. For k 2 N, show that arctan.k/ .x/ D .1Cx 2 /k , where pk is a polynomial of degree k1 k  1 and leading coefficient .1/ kŠ. 9. Find the common tangents to the parabolas of equations y D x2 and y D 2 C .x  3/2 . For the next problem, the reader may find it helpful to review the elementary material on conics, at the level of Chap. 6 of [4], for instance. 2 2 10. Let E be the ellipse of equation ax2 C by2 D 1 and H the hyperbola of equation x2 a02

2

 by02 D 1. We say that E and H are confocal if they have the same foci. In this respect, show that: (a) a2  b2 D a02 C b2 . (b) E and H intersect in four distinct points; moreover, if .x0 ; y0 / is one of them, then     1 1 1 1 1 1 1 1 2 2 C 02 2 D 2 C 02 and y0 C 02 2 D 02  2 : x0 2 02 2 02 a b a b b b a b a b a a (c) If P is one of the intersection points of item (b), then the straight lines tangent to E and H at P are perpendicular. 11. Do the following items: (a) If f W R ! R is given by  f .x/ D

x2 sin 1x ; if x ¤ 0 ; 0; if x D 0

show that it is differentiable at every real number and that f 0 is not continuous at 0. (b) For real numbers x1 < x2 < : : : < xn , give an example of a differentiable function g W R ! R such that g0 is discontinuous at x1 , x2 , . . . , xn . p 12. Prove that f W .0; C1/ ! R, given by f .x/ D sin x, is not periodic. 13. (Putnam) Let a1 , a2 , . . . , an be given reals and f W R ! R be such that f .x/ D a1 sin x C a2 sin.2x/ C    C an sin.nx/ for every x 2 R. If jf .x/j  j sin xj for every x 2 R, prove that ja1 C 2a2 C    C nan j  1. 14. (OBMU) Given nonzero real numbers a1 ; a2 ; : : : ; an , show that the function f W R ! R, such that f .x/ D

n X jD1

for every x 2 R, has period 2.

aj cos.jx/

312

9 Limits and Derivatives

15. * Prove the following version of l’Hôpital’s rule6 : let f ; g W Œa; b/ ! R be two functions differentiable at a and such that f .a/ D g.a/ D 0. If g ¤ 0 in .a; b/ and g0 .a/ ¤ 0, show that f 0 .a/ f .x/ D 0 : x!a g.x/ g .a/ lim

9.5 Rôlle’s Theorem and Applications Let f W Œa; b ! R be continuous in Œa; b, differentiable in .a; b/ and such that f .a/ D f .b/ D 0. In addition, suppose that f is nonzero in at least one point of the interval .a; b/. Arguing heuristically, translate the horizontal axis parallel to itself, until it becomes tangent to the graph of f at a point .c; f .c// (cf. Fig. 9.7). Then, on the one hand, such a tangent line must have slope f 0 .c/; on the other, being parallel to the horizontal axis, its slope must be equal to 0, so that f 0 .c/ D 0. The first result of this section, which is known in the literature as Rôlle’s theorem,7 puts the discussion of the previous paragraph in solid grounds. Lemma 9.43 (Rôlle) Let f W Œa; b ! R be continuous in Œa; b and differentiable in .a; b/. If f .a/ D f .b/ D 0, then there exists c 2 .a; b/ such that f 0 .c/ D 0. Proof Let c; d 2 Œa; b be the points in which f attains its minimum and maximum values, respectively. If c; d 2 fa; bg, then for every x 2 Œa; b we have 0 D f .c/  f .x/  f .d/ D 0. Therefore, f vanishes identically in Œa; b and there is nothing left to do. Else, suppose that c 2 .a; b/ (the case of d 2 .a; b/ can be dealt with analogously). Since f .x/  f .c/ for every x 2 Œa; b, we conclude that Fig. 9.7 Rôlle’s theorem

y

f a

6

c

b

x

After Guillaume F. Antoine, Marquis de l’Hôpital, French mathematician of the XVII century. A more refined version of l’Hôpital’s rule will be presented at Proposition 9.50. 7 After Michel Rôlle, French mathematician of the XVII century.

9.5 Rôlle’s Theorem and Applications

x 2 .c; b )

313

f .x/  f .c/ f .x/  f .c/  0 and x 2 Œa; c/ )  0: xc xc

Hence, it follows from the results of Problems 2 and 5, page 290, that f 0 .c/ D lim

x!cC

f .x/  f .c/ f .x/  f .c/  0 and f 0 .c/ D lim  0: x!c xc xc

Thus, f 0 .c/ D 0.

t u

The next example shows a typical application of Rôlle’s theorem. Example 9.44 Given a; b; c 2 R, show that the equation 4ax3 C 3bx2 C 2cx D a C b C c has at least one real root between 0 and 1. Proof First of all, note that a standard application of the IVT is not conclusive, for, if f .x/ D 4ax3 C 3bx2 C 2cx  .a C b C c/, then f .0/ D .a C b C c/ and f .1/ D 3a C 2b C c, so that f .0/ and f .1/ can have equal signs (for instance, for a D 1 and b D c D  23 ). On the other hand, if f .x/ D ax4 Cbx3 Ccx2 .aCbCc/x, then f .0/ D f .1/ D 0. Hence, Rôlle’s theorem assures the existence of x0 2 .0; 1/ such that f 0 .x0 / D 0. Now, note that this is the same as saying that x0 is a root of the given equation. u t Let’s (heuristically) analyse a situation more general than that of Rôlle’s theorem. More precisely, let’s consider again a function f W Œa; b ! R, continuous in Œa; b and differentiable in .a; b/, but such that f .a/ and f .b/ can assume any values whatsoever. The slope of the secant line to the graph of f passing through .a; f .a// .a/ and .b; f .b// equals f .b/f ba . We translate it parallel to itself until it becomes tangent to the graph at a point .c; f .c//, with c 2 .a; b/ (cf. Fig. 9.8). Then, on the one hand, the slope of this tangent line equals f 0 .c/; on the other, since it is parallel to the original secant line, its slope equals that of the secant, so that f 0 .c/ D

f .b/  f .a/ : ba

This result is the content of the mean value theorem (MVT, shortly) of Lagrange, and it is the content of the coming result. Theorem 9.45 (Lagrange) If f W Œa; b ! R is continuous in Œa; b and differentiable in .a; b/, then there exists c 2 .a; b/ such that f .b/  f .a/ D f 0 .c/: ba Proof Let g W Œa; b ! R be given by  g.x/ D f .x/ 

  x  a bx f .a/ C f .b/ ; ba ba

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9 Limits and Derivatives

Fig. 9.8 Lagrange’s mean value theorem

y f (b)

f (a) f (c)

a

c

b

x

for every x 2 Œa; b. (Note that the function of x between parentheses is precisely the one that defines the secant to the graph of f passing through .a; f .a// and .b; f .b//.) Clearly, g is continuous in Œa; b and differentiable in .a; b/, with g.a/ D g.b/ D 0. Hence, by Rôlle’s theorem, there exists c 2 .a; b/ such that g0 .c/ D 0. Now, an easy computation gives 0

0



g .x/ D f .x/ 

 f .b/ f .a/ C ; ba ba

so that 0 D g0 .c/ D f 0 .c/  Example 9.46 For x; y 2



 2 ; 2

f .b/  f .a/ : ba

 , show that j tan x  tan yj  jx  yj.

t u

Proof If x D y, there is nothing to do. Otherwise, it follows from the MVT of Lagrange the existence of a real c between x and y, such that tan x  tan y D .tan c/.x  y/ D

1 .x  y/: cos2 c

However, since j cos cj  1, we get j tan x  tan yj D

1 jx  yj  jx  yj: cos2 c

t u

The following corollary sets an important consequence of Lagrange’s MVT. Corollary 9.47 Let I  R be an interval and f ; g W I ! R be two differentiable functions. If f 0 D g0 , then f  g is constant.

9.5 Rôlle’s Theorem and Applications

315

Proof Since f 0 D g0 if and only if .f  g/0 D 0, it suffices to show that f 0 D 0 implies f constant. Let f 0 D 0 and fix a < b in I. Since f is differentiable in I, it is certainly continuous in Œa; b and differentiable in .a; b/. Therefore, Lagrange’s MVT gives .a/ c 2 .a; b/ such that f .b/f D f 0 .c/ D 0. Hence, f .b/ D f .a/, and since a and b ba were arbitrarily chosen in I, it follows that f is constant. t u Example 9.48 If f ; g W R ! R are differentiable functions such that f 0 .x/ D g.x/ and g0 .x/ D f .x/ for every x 2 R, then f .x/ D f .0/ cos x C g.0/ sin x and g.x/ D g.0/ cos x  f .0/ sin x, for every x 2 R. Proof Letting h.x/ D f .x/ sin x C g.x/ cos x and l.x/ D f .x/ cos x  g.x/ sin x, we have h.0/ D g.0/, l.0/ D f .0/ and h0 .x/ D f 0 .x/ sin x C f .x/ cos x C g0 .x/ cos x  g.x/ sin x D .f 0 .x/  g.x// sin x C .f .x/ C g0 .x// cos x D 0: Analogously, l0 .x/ D 0 for every x 2 R, so that the previous corollary guarantees that h and l are constant functions. Hence, 

f .x/ sin x C g.x/ cos x D g.0/ : f .x/ cos x  g.x/ sin x D f .0/

The above inequalities can be seen as a linear system of two equations in the unknowns f .x/ and g.x/. We can easily solve it to get f .x/ D f .0/ cos x C g.0/ sin x and g.x/ D g.0/ cos x  f .0/ sin x. t u In what comes next, we discuss an important generalization of Lagrange’s MVT to two given functions, known as Cauchy’s mean value theorem. Note that (9.23) reduces to the MVT of Lagrange if g.x/ D x. Theorem 9.49 (Cauchy) If f ; g W Œa; b ! R are continuous in Œa; b and differentiable in .a; b/, then there exists c 2 .a; b/ such that .f .b/  f .a//g0 .c/ D .g.b/  g.a//f 0 .c/:

(9.23)

Proof Let h W Œa; b ! R be given by h.x/ D .f .b/  f .a//g.x/  .g.b/  g.a//f .x/; for every x 2 Œa; b. It is immediate that h is continuous in Œa; b and differentiable in .a; b/, so that, by Lagrange’s MVT, there exists c 2 .a; b/ satisfying h0 .c/ D

h.b/  h.a/ : ba

316

9 Limits and Derivatives

Now, since h.a/ D h.b/ D f .b/g.a/  f .a/g.b/, we have h0 .c/ D 0 and it suffices to observe that h0 .c/ D .f .b/  f .a//g0 .c/  .g.b/  g.a//f 0 .c/:

t u

In Calculus, it is often the case we have continuous functions f ; g W Œa; b/ ! R such that f .a/ D g.a/ D 0, and we need to evaluate (if it exists) the limit f .x/ : x!a g.x/ lim

In general, we refer to such a quotient as an indeterminacy of the form 00 as x D a. Problem 15, page 311, taught us how to deal with it when f and g are differentiable at a, with g0 .a/ ¤ 0. Cauchy’s MVT allows us to get a more refined version of that result, which is also known in the literature as l’Hôpital’s rule. Proposition 9.50 (l’Hôpital’s rule for 00 ) Let f ; g W .a; b/ ! R be differentiable functions such that limx!a f .x/ D limx!a g.x/ D 0. If g; g0 ¤ 0 in .a; b/, then f 0 .x/ f .x/ D L ) lim D L: x!a g0 .x/ x!a g.x/ lim

Proof Start by continuously extending f and g to Œa; b/, setting f .a/ D g.a/ D 0. For x 2 .a; b/, it follows from Cauchy’s MVT that f .x/ f .x/  f .a/ f 0 .c.x// D D 0 ; g.x/ g.x/  g.a/ g .c.x//

(9.24)

for some c.x/ 2 .a; x/; in particular, we clearly have limx!a c.x/ D a. 0 Now, if limx!a gf 0.x/ .x/ D L, a slight modification in the hint given to Problem 10, page 291, guarantees that limx!a that

f .x/ limx!a g.x/

f 0 .c.x// g0 .c.x//

D L. Hence, it readily follows from (9.24)

D L.

t u

p x . (Note that Example 9.51 We use l’Hôpital’s rule for 00 to compute limx!0 1cos x p x 7! x is not differentiable at x D 0, so that we cannot usep the result of Problem 15, page 311). Indeed, both f .x/ D 1  cos x and g.x/ D x (for x > 0) satisfy the hypotheses of the previous proposition and are such that

p f 0 .x/ sin x D lim p D lim 2 x sin x D 0 x!0 g0 .x/ x!0 1=.2 x/ x!0 lim

Therefore, limx!0

f .x/ g.x/

D 0.

9.5 Rôlle’s Theorem and Applications

317

Problems: Section 9.5 1. Let f W R ! R be a twice differentiable function, such that f 00 .x/ C f .x/ D 0 for every x 2 R. Prove that f .x/ D f .0/ cos x C f 0 .0/ sin x; for every x 2 R. 2. Let  > 0 and f W R ! R be twice differentiable and such that f 00.x/ C f .x/ D 0 for every x 2 R. Prove that p p f 0 .0/ f .x/ D f .0/ cos. x/ C p sin. x/;  for every x 2 R. 3. * Let I be an interval and f W I ! R be a twice differentiable function, such that f 00 is constant. Prove that f either vanishes identically or is a polynomial function of degree at most 2. More precisely, if x0 2 I, show that f .x/ D f .x0 / C f 0 .x0 /.x  x0 / C

f 00 .x0 / .x  x0 /2 : 2

4. (OIMU) Find all functions f W R ! R such that .f .x/  f .y//2  jx  yj3 , for every x; y 2 R. 5. Let I  R be an interval and c 2 I. Let f W I ! R be a function continuous in I and differentiable in I n fcg. If limx!c f 0 .x/ D l, prove that f is differentiable in c, with f 0 .c/ D l. an 6. (Putnam) Let a0 ; a1 ; : : : ; an be real numbers such that a10 C a21 C    C nC1 D 0. n Show that the polynomial function a0 C a1 x C    C an x has at least one real root. 7. Show that the equation x2 D x sin x C cos x has exactly two real roots. 8. Redo Problem 8, page 300, this time under the assumption that f W I ! R is continuously differentiable in I. 9. In each item below, compute the given limit: 1cos x . 2 xp 1 3 cos x . limx!0 x2

p cos x 3 cos x . 2 x sin2 .x/ limx!1 .x3 C1/2 . p

(a) limx!0

(c) limx!0

(b)

(d)

10. Let f ; g W .0; 2 / ! R be given by f .x/ D x3=2 sin 1x and g.x/ D x1=3  cos x C 1. f .x/ . Compute, if it exists, limx!0 g.x/ 11. If f W .a; b/ ! R is twice differentiable, show that, for every x0 2 .a; b/, f .x0 C h/ C f .x0  h/  2f .x0 / D f 00 .x0 /: h!0 h2 lim

318

9 Limits and Derivatives

12. Let f W Œa; b/ ! R be twice continuously differentiable in Œa; b/, with f .a/ D 0 and f 00.a/ ¤ 0. (a) Show that there exists c 2 .a; b/ such that f .x/  .x  a/f 0 .x/ ¤ 0, for every x 2 .a; c/. .xa/f .x/ 0 00 (b) Compute limx!a f .x/.xa/f 0 .x/ in terms of f .a/, f .a/ and f .a/ (item (a) assures that the denominator doesn’t vanish in the interval .a; c/). 13. * Prove the following version of l’Hôpital’s rule for indeterminacies 00 at C1: let a > 0 and f ; g W .a; C1/ ! R be differentiable functions such that g; g0 ¤ 0 in .a; C1/. If limx!C1 f .x/ D limx!C1 g.x/ D 0, then f 0 .x/ f .x/ D L ) lim D L: x!C1 g0 .x/ x!C1 g.x/ lim

14. Let f W R ! R be a differentiable function such that limx!C1 f .x/ and limx!C1 xf 0 .x/ exist and are finite. Compute the possible values of this second limit. 15. Prove the following version of l’Hôpital’s rule for indeterminacies ˙1 ˙1 at a 2 R: let f ; g W .a; b/ ! R be differentiable functions such that g; g0 ¤ 0 in .a; b/ and limx!a g.x/ D C1 (or 1). Then, f 0 .x/ f .x/ D L ) lim D L: 0 x!a g .x/ x!a g.x/ lim

16. The differentiable function f W R ! R is such that jf 0 .x/j  c < 1 for every real x, where c is a positive real constant. Show that there exists only one x0 2 R such that f .x0 / D x0 . 17. * Let I  R be an open interval, x0 2 I and f W I ! R a continuous function, which is differentiable in I n fx0 g. If there exists L D limx!x0 f 0 .x/, prove that f is differentiable at x0 , with f 0 .x0 / D L. 18. (Romania) Prove that there does not exist a differentiable function f W .0; C1/ ! .0; C1/ such that f .x/2  f .x C y/.f .x/ C y/ for every x; y 2 .0; C1/. 19. (OBMU) Find all differentiable functions f W R ! R such that f .0/ D 0 and jf 0 .x/j  jf .x/j for every x 2 R.

9.6 The First Variation of a Function We saw in Sect. 8.2 that every continuous function f W Œa; b ! R attains extreme (i.e., maximum and minimum) values in Œa; b. In this section, we shall discuss procedures that, among other things, allow us to effectively compute the corresponding extreme points of such an f , provided it is differentiable in .a; b/.

9.6 The First Variation of a Function

319

In all that follows, I denotes an interval, whose interior is the interval obtained by excluding its endpoints, if they exist. Thus, if I D Œa; b, Œa; b/, .a; b or .a; b/, then the interior of I is the open interval .a; b/; analogously, if I D Œa; C1/ or .a; C1/, its interior is .a; C1/, and if I D .1; b or .1; b/, its interior is .1; b/. Broadening the situation of the first paragraph above, our purpose in this section is to solve the problem of finding extreme points and values of functions f W I ! R which are continuous in I and differentiable in the interior of I. To this end, we begin with the following Definition 9.52 Given a function f W I ! R, we say that x0 2 I is a local maximum (resp. local minimum) point for f if there exists ı > 0 such that f .x0 /  f .x/ (resp. f .x0 /  f .x/), for every x 2 I \ .x0  ı; x0 C ı/. In Fig. 9.9, points x0 , x00 and x000 are of local minimum for the function f W .a; b/ ! R whose graph is depicted. Observe that, in a neighborhood of each of these points, the values of f are no less than those it assumes at x0 , x00 and x000 (as indicated by the three dashed horizontal line segments). Also, x00 is the only global minimum point of f (i.e., a point in which f attains the minimum possible value in .a; b/), whereas x0 and x000 are not global minimum points. Finally, notice that f has also two maximum local points (identify them!), albeit none of which is a global maximum point. Generically, local maximum or minimum points of f W I ! R are called its extreme points, or simply its extrema. If I is an open interval and f W I ! R is differentiable, we shall show below that its extrema (if any) can be found among the points where f 0 vanishes. Since these vanishing points will play quite an important role in subsequent discussions, it is worth to start by naming them. Definition 9.53 Let I  R be an open interval and f W I ! R a differentiable function. We say that x0 2 I is a critical point of f if f 0 .x0 / D 0. y Gf

x0 a

x0

Fig. 9.9 Local minimum points of f W I ! R

x0

b

x

320

9 Limits and Derivatives

The notion of critical point has an obvious geometric interpretation: letting I be an open interval, it follows from (9.14) that the critical points of a differentiable function f W I ! R are precisely those points in which the tangent lines to its graph are horizontal. We can now state and prove the following fundamental result, which is known as the first derivative test for extreme points. Although its proof is quite similar to that of Rôlle’s theorem, we repeat it here for the sake of completeness. Proposition 9.54 If I  R is an open interval and f W I ! R is a differentiable function, then every extreme point of f is also critical. Proof Assume that x0 2 I is a local minimum point of f (the proof in the other case is completely analogous). Take ı > 0 such that .x0  ı; x0 C ı/  I (since I is open, such a ı always exists) and 0 < jx  x0 j < ı ) f .x/  f .x0 /  0: For x0 < x < x0 C ı we have

f .x/f .x0 / xx0

f 0 .x0 / D lim

x!x0 C

 0, so that

f .x/  f .x0 /  0: x  x0

An analogous reasoning with x0  ı < x < x0 gives us f .x/  f .x0 /  0: x!x0  x  x0

f 0 .x0 / D lim Therefore, f 0 .x0 / D 0:

t u

As a corollary to the first derivative test, we have the following search criterion for extreme points. Corollary 9.55 Let f W I ! R be continuous in I and differentiable in the interior of I. If f attains a global (maximum or minimum) value in I, then the corresponding extreme point is either an endpoint of I or a critical point of f . Proof Suppose that f attains a global minimum value in I (the case of a global maximum value can be treated analogously). Let x0 2 I be such that f .x0 / D minff .x/I x 2 Ig. If x0 is an endpoint of I, there is nothing left to do. Otherwise, x0 belongs to the interior of I; however, since the interior de I is an open interval, the first derivative test assures that x0 is a critical point of f . t u The coming example makes it clear that the above corollary solves the problem of finding the global extreme values of a continuous function f W Œa; b ! R, differentiable in .a; b/, as long as we know how to find the roots of the equation f 0 .x/ D 0.

9.6 The First Variation of a Function

321

Example 9.56 Find the maximum value of f W Œ0; 1 ! R, given by f .x/ D x  x4 . Solution Since f is continuous in Œ0; 1, we know from Theorem 8.26 that f assumes a maximum value in Œ0; 1. By the previous corollary, the corresponding maximum point is 0, 1 or a critical point of f . Now, since f 0 .x/ D 1  4x3 , we conclude that 1 1 3 p is the only critical point of f , with f . p 3 3 / D p 3 . Finally, since f .0/ D f .1/ D 4

0
0 in the interior of I, then f is increasing in I, but the converse is not necessarily true. (c) f 0  0 in the interior of I if and only if f is nonincreasing in I. (d) If f 0 < 0 in the interior of I, then f is decreasing in I, but the converse is not necessarily true. Proof Let’s prove only items (a) and (b), the proofs of items (c) and (d) being entirely analogous. (a) Suppose first that f is nondecreasing in I. For a given x0 in the interior of I, take ı > 0 such that .x0  ı; x0 C ı/  I. If x0 < x < x0 C ı, then x 2 I and .x0 / f .x/  f .x0 /  0. Hence, f .x/f  0 and, making x ! x0 C, we get xx0 f 0 .x0 / D lim

x!x0 C

f .x/  f .x0 /  0: x  x0

Conversely, suppose f 0  0 in the interior of I. If a; b 2 I are such that a < b, the continuity of f in I guarantees its continuity in Œa; b. On the other hand, since .a; b/ is contained in the interior of I, we have f differentiable in .a; b/, so that Lagrange’s MVT guarantees the existence of c 2 .a; b/ for which f .b/  f .a/ D f 0 .c/  0: ba Therefore, f .b/  f .a/, and f is nondecreasing in I. (b) Assume that f 0 > 0 in the interior of I, and let a < b be two points of I. Again by Lagrange’s MVT, there exists c 2 .a; b/ for which

8

This terminology alludes to the key role of the first derivative in this result, as well as to the fact that, classically, the first derivative of a (differentiable) function was called its first variation.

322

9 Limits and Derivatives

f .b/  f .a/ D f 0 .c/ > 0: ba Hence, f .b/ > f .a/ and f is increasing in I. To see that the converse is not generally true, let f W R ! R be given by u t f .x/ D x3 . Then, f is increasing in the whole real line, albeit f 0 .0/ D 0. The coming example shows how to use Proposition 9.57 to approach problems involving maxima and minima of differentiable functions. 2

C3 Example 9.58 Let f W Œ0; C1/ ! R be given by f .x/ D xxC1 . Show that f attains a global minimum in Œ0; C1/ and compute this minimum value.

Solution If f is to attain a global minimum in Œ0; C1/, then Corollary 9.55 guarantees that the corresponding extreme point is either 0 or a critical point of f . Computing f 0 , we get f 0 .x/ D

2x.x C 1/  .x2 C 3/  1 x2 C 2x  3 D ; .x C 1/2 .x C 1/2

so that f 0 .x/ D 0 if and only if x D 1 (recall that we must have x  0). On the other hand, since x2 C 2x  3 D .x C 3/.x  1/, we conclude that 0 f is negative in the interval .0; 1/ and positive in the interval .1; C1/. Hence, Proposition 9.57 says that f decreases in Œ0; 1 and increases in Œ1; C1/, so that it really attains a global minimum, at x D 1. Therefore, the minimum value of f is f .1/ D 2. t u We now apply the first variation of functions to give a third proof of the inequality between the arithmetic and geometric means. Example 9.59 Given an integer n > 1 and positive reals a1 ; a2 ; : : : ; an we have a1 C a2 C    C an p  n a1 a2 : : : an ; n with equality if and only if a1 D a2 D    D an . Proof Let’s make induction on n > 1, relying in the discussion that led to (5.2) for the case n D 2. Given an integer k > 2, suppose we have established the inequality for k  1 arbitrary positive real numbers, with equality if and only if they are all equal. Given k positive reals a1 ; : : : ; ak1 ; ak , let f W .0; C1/ ! R be defined for x > 0 by p f .x/ D a1 C    C ak1 C x  k k a1 : : : ak1 x: We shall show that f .x/  0 for every x > 0, with equality if and only if x D a1 and a1 D    D ak1 ; in particular, it will follow that f .ak /  0, with equality if and only if a1 D    D ak1 D ak , as wished. To this end, note that f is differentiable, with

9.6 The First Variation of a Function

323

f 0 .x/ D 1 

p 1 k a1 : : : ak1 x k 1 :

p Hence, letting x0 D k1 a1 : : : ak1 , we have f 0 < 0 in .0; x0 /, f 0 .x0 / D 0 and f 0 > 0 in .x0 ; C1/, so that Proposition 9.57 assures f to decrease in .0; x0  and increase in Œx0 ; C1/. Therefore, f attains a global minimum (only) at x D x0 . Finally, a straightforward substitution gives p f .x0 / D a1 C    C ak1  .k  1/ k1 a1 : : : ak1 ;

(9.25)

so that f .x0 /  0 by induction hypothesis. Thus, f .x/  f .x0 /  0 for every x > 0, with equality if and only if x D x0 and f .x0 / D 0. It now suffices to observe that, thanks to (9.25) and the induction hypothesis, we have f .x0 / D 0 if and only if a1 D : : : D ak1 . t u We shall sometimes use the first variation in the form of the following Corollary 9.60 Let I be an open interval, f W I ! R be twice differentiable and x0 2 I be a critical point of f . If f 00 > 0 (resp. f 00 < 0) in I, then x0 is the only global minimum (resp. maximum) point of f . In particular, x0 is the only critical point of f . Proof Suppose f 00 > 0 in I (the case f 00 < 0 in I is totally analogous). Since f 00 D .f 0 /0 , item (b) of Proposition 9.57 (applied to f 0 , in place of f ) guarantees that f 0 increases in I. However, since f 0 .x0 / D 0, it follows that f 0 .x/ < 0 for x < x0 and f 0 .x/ > 0 for x > x0 (in particular, x0 is the only critical point of f ). Then, items (b) and (d) of Proposition 9.57 (this time applied to f ) guarantee that f decreases in I\.1; x0  and increases in I\Œx0 ; C1/. Therefore, x0 is the only global minimum point of f . t u With the aid of the previous corollary, we can given an interesting application of the first variation to Euclidean Geometry. Example 9.61 We are given an angle †AOB such that Ab OB < 90ı (cf. Fig. 9.10), !

!

as well as a point P inside it. Show how to choose points X 2 OA and Y 2 OB such that X, P and Y are collinear and XY has the minimum possible length.

Fig. 9.10 Line segment XY of minimum length

A X P O

Y

B

324

9 Limits and Derivatives

Proof In what follows, we shall rely on [4] for the necessary background in Euclidean Geometry. Taking angles in radians, let Ab OP D ˛, Bb OP D ˇ and Ob XY D , so that ˛ !

and ˇ are known and is variable (i.e., depends on the position of X along OA). Since the sum of the internal angles of triangle OXY equals  radians, we have 0 < <   ˛  ˇ and Ob YX D   ˛  ˇ  . Applying the Sine Law (cf. Sect. 7.3 of [4]) to triangles XOP and YOP, we get PX OP

D

sin ˛ sin

and

PY OP

D

sin ˇ ; sin.˛ C ˇ C /

so that  sin ˇ sin ˛ C : XY D PX C PY D OP sin

sin.˛ C ˇ C / 

Hence, letting f W .0;   ˛  ˇ/ ! R be given by f . / D

sin ˛ sin ˇ C ; sin

sin.˛ C ˇ C /

it suffices to show that there exists a single 2 .0;   ˛  ˇ/ in which f attains its global minimum. The first derivative test assures that, if f has a global minimum point, then it must be a critical one. On the other hand, an easy computation furnishes f 0 . / D 

sin ˛ cos

sin ˇ cos.˛ C ˇ C /  : 2 sin

sin2 .˛ C ˇ C /

Substituting  D   ˛  ˇ, we easily get lim f 0 . / D 1

!0

and

lim f 0 . / D C1:

!

Therefore, the IVT (applied to f 0 , which is clearly continuous on ) guarantees the existence of 0 2 .0;  / such that f 0 . 0 / D 0. Now, f 00 . / D

sin ˛.1 C cos2 / sin ˇ.1 C cos2 .˛ C ˇ C // C > 0; sin3

sin3 .˛ C ˇ C /

since ˛; ˇ; ; ˛ C ˇ C 2 .0; /. Hence, Corollary 9.60 says that 0 is the only global minimum point of f . t u

9.6 The First Variation of a Function

325

We finish this section by applying Proposition 9.57 to prove the following result, known as Darboux’s theorem.9 Theorem 9.62 (Darboux) If I  R is an interval and f W I ! R is a differentiable function, then the function f 0 W I ! R, even if discontinuous, satisfies the mean value property. Proof Let a < b in I and d be a real number between f .a/ and f .b/. We wish to establish the existence of c 2 Œa; b such that f .c/ D d. To this end, we consider two cases separately: (i) f 0 .a/ < 0 < f 0 .b/ (or vice-versa): if f is not injective in Œa; b, then there exist ˛ < ˇ in Œa; b such that f .˛/ D f .ˇ/. By Lagrange’s MVT, there exists c 2 .˛/ .˛; ˇ/ (hence, c 2 .a; b/) such that f 0 .c/ D f .ˇ/f D 0. If f is injective in ˇ˛ Œa; b, it follows from Theorem 8.35 that f is monotonic in Œa; b. Therefore, the previous proposition gives f 0  0 in Œa; b or f 0  0 in Œa; b, which is not the case. (ii) f 0 .a/ < d < f 0 .b/ (or vice-versa): let g W I ! R be given by g.x/ D f .x/  dx, so that g is differentiable, with g0 .x/ D f 0 .x/  d for every x 2 I. Hence, g0 .a/ < 0 < g0 .b/ or vice-versa, and item (i) assures the existence of c 2 .a; b/ such that g0 .c/ D 0. This is the same as f 0 .c/ D d. t u

Problems: Section 9.6 1. Prove Proposition 6.25 applying the results of this section. 2. In each of the following items, find the maximum and minimum values (if these exist) of the given functions: p

x

(a) f W Œ0; C1/ ! R given by f .x/ D x2 C16 . (b) f W R ! R given by f .x/ D ax2xCb , where a and b are given positive real numbers. (c) f W .0; C1/ ! R given by f .x/ D x2 C ax , where a is a given positive real number. 2 (d) f W .0; C1/ ! R given by f .x/ D x3xCa , where a is a given positive real number. 3. Let f W R ! R be given by f .x/ D x3 C ax2 C bx C c, where a; b; c 2 R are real constants. Discuss the first variation of f in terms of a, b and c. 3 2 4. * Show that x  sin x  x  x3Š and cos x  1  x2 , for every x  0. 5. In a square ABCD of diagonals AC and BD, the sides have length 2. Mark the midpoint P of side AB and, then, a point Q 2 AD and a point R 2 CD such that

9

After Jean-Gaston Darboux, French mathematician of the XIX and XX centuries.

326

9 Limits and Derivatives

Pb QR D 90ı . Find the position of Q along side AD such that the area of triangle PQR is as large as possible. 6. Let f W .a; b/ ! R be a differentiable function and P.x0 ; y0 / be a point not belonging to the graph of f . If there exists A 2 Gf such that AP D minf A0 PI A0 2 Gf g; !

we say that AP is the distance from P to Gf . In such a case, prove that AP ?r, where r denotes the tangent line to Gf at A. 7. Let f W .a; b/ ! R and g W .c; d/ ! R be differentiable functions whose graphs do not intersect each other. If there exist points A.˛; f .˛// and B.ˇ; f .ˇ// such that AB D minf A0 B0 I A0 2 Gf and B0 2 Gg g;

(9.26)

we say that AB is the distance between the graphs of f and g. In such a case, Show that f 0 .˛/ D g0 .ˇ/. Given differentiable functions f W .a; b/ ! R and g W .c; d/ ! R whose graphs do not intersect, the result of the previous problem assures that the problem of finding points A 2 Gf and B 2 Gg satisfying (9.26) is equivalent to that of minimizing F W .a; b/ .c; d/ ! R given by F.x; y/ D .x  y/2 C .f .x/  g.y//2 ; subject to the constraint f 0 .x/ D g0 .y/. Nevertheless, the pair of functions f ; g W .0; C1/ ! R given by f .x/ D 1x and g.x/ D 0 shows that it is not always the case that such a pair of points A 2 Gf and B 2 Gg actually exist. The next problem applies the above discussion to a case in the positive side of things. 8. Compute the distance between the graphs of functions f ; g W R ! R such that f .x/ D x2 e g.x/ D 1  .x  3/2 , admitting the (geometrically plausible) fact that such a distance is attained by a certain pair of points A 2 Gf and B 2 Gg . 9. In Fig. 9.11, we have BC D 2 BH. Compute the largest possible value of the measure of angle Bb AC. 10. ABCD is an isosceles trapezoid of bases AD and BC, with AD > BC, and legs AB and CD. If BC D a and AB D CD D b, compute the measure of the angles Bb AD D Ab DC for the area of ABCD to be as large as possible. Fig. 9.11 Maximizing the AC measure of angle Bb

A

H

B

C

9.6 The First Variation of a Function

327

A B a b r P

A

B

Fig. 9.12 Minimizing AP C BP Fig. 9.13 Minimizing AP  BP

A B

a

b l

A

B

r

11. We are given an angular region †AOB, such that Ab OB < 90ı (cf. Fig. 9.10), !

!

and a point P inside it. Choose points X 2 OA and Y 2 OB in such a way that X, P are Y collinear. Show that PX  PY is minimum if and only if OXY is an isosceles triangle, with basis XY. 12. Let a line r and points A and B be given, as shown in Fig. 9.12. The distances from A and B to r are respectively equal to a and b, and c is the length of the line segment joining the feet of the perpendiculars dropped from A and B to r. Find the position of a point P along r such that the sum AP C BP is as small as possible. !

!

0 0 0 0 0 0 13. In p Fig. 9.13, we have AA ; BB ?r, AA D a, BB D b and A B D l. If l  2 2 2.a C b /, show that there exists a single point P 2 r such that AP  BP attains its minimum possible value. Show also that P 2 A0 B0 .  nC1  m n 14. Show that mC1  n , for every m; n 2 N. nC1 15. For each real number k > 1, compute the minimum possiblepvalue of x C y, p where x and y are real numbers satisfying .x C 1 C x2 /.y C 1 C y2 / D k. 2 1 16. (Romania) Compute the minimum possible value of x C y C xCy C 2xy , for distinct and positive real numbers x and y. A B B A 17. (BMO) In a triangle ABC, let sin23 b cos48 b D sin23 b cos48 b . Compute the 2 2 2 2 AC ratio BC . 18. (OIMU) Let f W Œ0; 1 ! Œ0; 1 be continuous in Œ0; 1, differentiable in .0; 1/ and such that f .0/ D 0 and f .1/ D 1. Prove that there exist distinct a; b 2 Œ0; 1 such that f 0 .a/f 0 .b/ D 1. 19. (Leningrad) Let f W R ! R be a polynomial function such that

f .x/  f 0 .x/  f 00 .x/ C f 000 .x/  0 for every x 2 R. Prove that f .x/  0 for every x 2 R.

328

9 Limits and Derivatives

9.7 The Second Variation of a Function Along this section we continue to study how the behavior of the derivatives of a function influence the shape of its graph. As before, in all that follows I  R denotes an interval. Definition 9.63 A function f W I ! R is said to be convex if, for all a; b 2 I and t 2 Œ0; 1, we have f ..1  t/a C tb//  .1  t/f .a/ C tf .b/: As t varies from 0 to 1, basic Analytic Geometry guarantees that the points of the form .1  t/.a; f .a// C t.b; f .b// trace out the line segment secant with endpoints .a; f .a// and .b; f .b//. Hence, f W I ! R is convex if and only if, for all a < b in I, the portion of the graph of f between lines x D a and x D b does not intersect the open half-plane situated above the straight line passing through .a; f .a// and .b; f .b//. Yet in another way, letting RC .f / D f.x; y/ 2 R2 I x 2 I and y  f .x/g; f is convex if and only if RC .f / is a convex region of the plane. The next definition refines the notion of convexity for functions (pay particular attention to the range of values of t, when compared to those in the former definition). Definition 9.64 A function f W I ! R is strictly convex if, for all distinct a; b 2 I and every t 2 .0; 1/, we have f ..1  t/a C tb// < .1  t/f .a/ C tf .b/: Analogously to the above, we say that f W I ! R is (strictly) concave if f is (strictly) convex. Hence, f is concave if and only if f ..1  t/a C tb//  .1  t/f .a/ C tf .b/ for all a; b 2 I and t 2 Œ0; 1. Accordingly, f W I ! R is strictly concave if and only if f ..1  t/a C tb// > .1  t/f .a/ C tf .b/ for all distinct a; b 2 I and every t 2 .0; 1/. Properties of (strictly) concave functions are easily derived from those of (strictly) convex ones, just changing f by f when necessary. For this reason, in all that follows we shall restrict ourselves to the analysis of convex and strictly convex functions, leaving to the reader the task of adapting it to concave and strictly concave ones.

9.7 The Second Variation of a Function

329

Definition 9.63 guarantees that every strictly convex function is convex. Nevertheless, the converse is not true in general, as the coming example shows. Example 9.65 Every affine function is convex, albeit not strictly convex. Indeed, if f W R ! R is given by f .x/ D Ax C B, with A; B 2 R, it is immediate to verify that f ..1  t/a C tb/ D .1  t/f .a/ C tf .b/, for all a; b 2 R and every t 2 Œ0; 1. In Corollary 9.70 we will show that, if I is an open interval, then a twice differentiable f W I ! R is convex if and only if f 00 .x/  0 for every x 2 I. We will also show that, if f 00 .x/ > 0 for every x 2 I, then f is strictly convex. By assuming the truth of these results for the time being, we now list some examples of convex and concave functions (note that when we sketched the graphs of these functions we implicitly assumed that they were indeed convex or concave, according to the case at hand). Example 9.66 (a) The restriction of the inverse proportionality function to the set of positive reals is strictly convex. Indeed, letting f .x/ D 1x for x > 0, we have f 00 .x/ D x23 > 0. (b) Letting n > 1 be an integer, the function f W .0; C1/ ! R given by f .x/ D xn is also strictly convex, for, f 00 .x/ D n.n  1/xn2 > 0. (c) The sine function is strictly concave in the interval .0; /, since sin00 x D  sin x < 0 in .0; /.   (d) Since tan00 x D 2 tan x sec x > 0 in 0; 2 , the tangent function is strictly convex in this interval. Remark 9.67 If f W I ! R is convex, then, letting t D 12 in Definition 9.63, we f .a/Cf .b/ for all a; b 2 I. Conversely, if f is continuous and such that get f . aCb 2 /  2 f .a/Cf .b/ aCb f. 2 /  for all a; b 2 I, it is possible to show (see Problem 8) that f 2 is convex. By the same token, it is also possible to show (see Problem 9) that a .b/ continuous f W I ! R is strictly convex if f . aCb / < f .a/Cf for all distinct a; b 2 I. 2 2 In turn, these remarks allow us to use the elementary inequalities we had studied to establish the (strictly) convex or concave character of several common functions. In this respect, take a look at Problem 11. Back to the development of the theory, let f W I ! R be a convex function. Then, given a < b in I and 0 < t < 1, we have f ..1  t/a C tb/  .1  t/f .a/ C tf .b/: Letting x D .1  t/a C tb, we have t D inequality above can be written as f .x/ 

xa ba

and 1  t D

xa bx  f .a/ C  f .b/: ba ba

bx . ba

(9.27) Therefore, the last

330

9 Limits and Derivatives

f (b) (1 − t)f (a) + tf (b) f (a) f ((1 − t)a + tb)

a

(1 − t)a + tb

b

Fig. 9.14 Graph of a convex function

In turn, this gives 1 f .x/  f .a/  xa xa and, analogously,

f .b/f .x/ bx



 bx xa f .b/  f .a/  f .a/ C  f .b/  f .a/ D ba ba ba



f .b/f .a/ ba .

In short, letting f be convex in I, we have

f .b/  f .a/ f .b/  f .x/ f .x/  f .a/   xa ba bx

(9.28)

for all a < x < b in I. Conversely, if f .b/  f .x/ f .x/  f .a/  ; xa bx

(9.29)

for all a < x < b in I, then .b  x/.f .x/  f .a//  .x  a/.f .b/  f .x// or, which is the same, .b  a/f .x/  .b  x/f .a/ C .x  a/f .b/: Substituting x D .1  t/a C tb in this inequality, we immediately recover (9.27), so that f is convex. Notice that the quotients in (9.28) are the slopes of the secants to the graph of f and passing through the pairs of points .a; f .a// and .x; f .x//, .a; f .a// and .b; f .b//, .x; f .x// and .b; f .b//, respectively. On the other hand, such slopes are the tangents of the trigonometric angles measured from the horizontal axis to those secants. Since the tangent function increases in each of the intervals .0; 2 / and . 2 ; /, the reader can easily use the comments above to grasp the “turning behavior” of those secants, as we walk along the horizontal axis in the positive direction (see Fig. 9.14).

9.7 The Second Variation of a Function

331

In what follows, we use the previous discussion to show that a convex function, defined in an open interval, is continuous. Proposition 9.68 If I is an open interval and f W I ! R is convex, then f is continuous. Proof Fix x0 2 I and a < x0 < b also in I (this is possible due to the openness of I). For x 2 .x0 ; b/, the first inequality in (9.28), with x0 in place of a, gives f .x/f .x0 / .x0 /  f .b/f xx0 bx0 ; in turn, the second inequality in (9.28), with x0 in place of x and x in place of b, gives we get 

f .x/f .x0 / xx0



f .x0 /f .a/ x0 a .

By combining these two inequalities,

   f .b/  f .x0 / f .x0 /  f .a/ .x  x0 /  f .x/  f .x0 /  .x  x0 /: x0  a b  x0

Letting x ! x0 C, it follows from these inequalities, together with the squeezing theorem (cf. Proposition 9.8) that lim f .x/ D f .x0 /:

x!x0 C

Arguing in an analogous way, we conclude that limx!x0  f .x/ D f .x0 /. Therefore, Problem 5, page 290, guarantees that limx!x0 f .x/ D f .x0 /, and Proposition 9.4 shows that f is continuous at x0 . t u As we have previously commented, we shall now show in a moment that the (strictly) convex character of a twice differentiable function is intimately related to the sign of its second derivative. This, in turn, will be a straightforward consequence of the coming result, in which we assume that the function under consideration is merely differentiable. Theorem 9.69 If I is an open interval and f W I ! R is differentiable, then: (a) f is convex in I if and only if f 0 is nondecreasing in I. (b) f is strictly convex in I if and only if f 0 is increasing in I. Proof Firstly, let f be convex in I. Given a < b in I and x 2 .a; b/, it follows from (9.28) that f .b/  f .a/ f .b/  f .x/ f .x/  f .a/   : xa ba bx

332

9 Limits and Derivatives

However, since f is differentiable in I, letting x ! aC in the first inequality and x ! b in the second one, we obtain f 0 .a/ 

f .b/  f .a/  f 0 .b/: ba

Hence, f 0 is nondecreasing in I. If f is strictly convex, we refine the above reasoning bay taking c 2 .a; b/ and x 2 .a; c/, y 2 .c; b/. Then, (9.28) and the strict convexity of f give f .x/  f .a/ f .c/  f .a/ f .b/  f .c/ f .b/  f .y/ < < < : xa ca bc by Now, letting x ! aC and y ! b, we get f 0 .a/ 

f .b/  f .c/ f .c/  f .a/ <  f 0 .b/; ca bc

so that f is increasing in I. Conversely, suppose that f 0 is nondecreasing in I. To show that f is convex, we previously saw that it suffices to prove that f .x/  f .a/ f .b/  f .x/  xa bx for all a < x < b in I. Since I is open and f is differentiable in I, we have f continuous in Œa; b and differentiable in .a; b/. Hence, Lagrange’s MVT assures .a/ the existence of ˛ 2 .a; x/ and ˇ 2 .x; b/ such that f .x/f D f 0 .˛/ and xa f .b/f .x/ D f 0 .ˇ/. However, since ˛ < ˇ and f 0 is assumed to be nondecreasing, bx we have f 0 .˛/  f 0 .ˇ/. Thus, f .b/  f .x/ f .x/  f .a/ D f 0 .˛/  f 0 .ˇ/ D ; xa bx as we wished to show. In case f 0 is increasing in I, the above reasoning gives f .x/  f .a/ f .b/  f .x/ D f 0 .˛/ < f 0 .ˇ/ D : xa bx Hence, we get a strict inequality in (9.29) for all a < x < b in I, and f is strictly convex. t u Corollary 9.70 Let I be an open interval and f W I ! R be twice differentiable. (a) f is convex in I if and only if f 00  0 in I. (b) If f 00 > 0 in I, then f is strictly convex in I.

9.7 The Second Variation of a Function

333

Proof Item (a) follows immediately from item (a) of the previous result, together with item (a) of Proposition 9.57 (applied to f 0 ). In what concerns (b), if f 00 > 0 in I, then item (b) of Proposition 9.57 (applied once more to f 0 ) guarantees that f 0 increases in I. Therefore, item (b) of the previous theorem assures that f is strictly convex. t u Let us see a simple application of this result. p p x Example 9.71 Let f W R n f 2; 2g ! R be given by f .x/ D 2x 2 . Find the intervals of the real line in which f is strictly convex or strictly concave. Solution Computing the first and second derivatives of f , we get f 0 .x/ D and f 00 .x/ D

2x . .2x2 /3 .6Cx2 /

2Cx2 .2x2 /2

Hence,

p 8 8 x > 0 and 2  x2 > 0 0 0 , >0, , : or or p : : 2  x2 x < 0 and 2  x2 < 0 x 0 such that f is convex in I \ .x0  ı; x0 / and concave in I \ .x0 ; x0 C ı/, or vice-versa. The coming corollary gives a necessary condition to be satisfied by the inflection points of twice differentiable functions. Corollary 9.73 Let I be an open interval and f W I ! R be a twice differentiable function. If x0 2 I is an inflection point of f , then f 00 .x0 / D 0. Proof Suppose f is convex in .x0  ı; x0 / and concave in .x0 ; x0 C ı/, with ı > 0 so small that .x0 ı; x0 Cı/  I (the other case can be dealt with in an analogous way). Then, Corollary 9.70 gives f 00 .x/  0 in .x0  ı; x0 / and f 00 .x/  0 in .x0 ; x0 C ı/. Suppose f 00 .x0 / < 0, and fix an arbitrary a 2 .x0  ı; x0 /, so that f 00 .x0 / < 00 0/ 0  f 00 .a/. Since f 00 .x0 / < f .x < f 00 .a/, Darboux’s Theorem 9.62 assures the 2 00 0/ < 0. However, since b 2 .a; x0 / ) existence of b 2 .a; x0 / such that f 00 .b/ D f .x 2 00 b 2 .x0  ı; x0 /, we should also have f .b/  0, which is a contradiction. Analogously, we also reach a contradiction by supposing that f 00 .x0 / > 0. Hence, the only possibility is that f 00 .x0 / D 0. t u

334

9 Limits and Derivatives

We now state and prove Jensen’s inequality,10 a result that gives greater flexibility to the applications of convex functions to problems of maxima and minima. Theorem 9.74 (Jensen) Let I  R be an open interval and f W I ! R be a convex function. If x1 ; x2 ; : : : ; xn 2 I and t1 ; t2 ; : : : ; tn 2 .0; 1/, with t1 C t2 C    C tn D 1, then t1 x1 C t2 x2 C    C tn xn 2 I and f .t1 x1 C t2 x2 C    C tn xn /  t1 f .x1 / C t2 f .x2 / C    C tn f .xn /:

(9.30)

Moreover, if f is strictly convex, then equality happens if and only if x1 D x2 D    D xn . Proof Suppose f is strictly convex (the case of a merely convex f is totally analogous) and let’s prove Jensen’s inequality by induction on n > 1. Case n D 2 follows from the definition of strict convexity for f , since condition t1 C t2 D 1 is equivalent to t1 D t and t2 D 1  t. Suppose that, for a certain n > 1 and all x1 ; x2 ; : : : ; xn 2 I and t1 ; t2 ; : : : ; tn 2 .0; 1/, with t1 C t2 C    C tn D 1, we have t1 x1 C t2 x2 C    C tn xn 2 I and f .t1 x1 C t2 x2 C    C tn xn /  t1 f .x1 / C t2 f .x2 / C    C tn f .xn /; with equality if and only if x1 D x2 D    D xn . Let’s consider x1 , x2 , . . . , xn , xnC1 2 I and t1 ; t2 ; : : : ; tn ; tnC1 2 .0; 1/ such that t1 C t2 C    C tn C tnC1 D 1. Define yD with sj D

tj 1tnC1

t1 x1 C t2 x2 C    C tn xn D s1 x1 C s2 x2 C    C sn xn ; 1  tnC1 for 1  j  n. Then, s1 ; s2 ; : : : ; sn > 0 and

n X jD1

sj D

n X 1 1 tj D  .1  tnC1 / D 1; 1  tnC1 jD1 1  tnC1

so that sj 2 .0; 1/ for 1  j  n. Hence, induction hypothesis gives y 2 I and, thus, t1 x1 C t2 x2 C    C tn xn C tnC1 xnC1 D .1  tnC1 /y C tnC1 xnC1 2 I: Now, by invoking the strict convexity of f we obtain f .t1 x1 C t2 x2 C    C tnC1 xnC1 / D f ..1  tnC1 /y C tnC1 xnC1 /  .1  tnC1 /f .y/ C tnC1 f .xnC1 /; 10

After Johan Jensen, Danish engineer and mathematician of the XIX and XX centuries.

9.7 The Second Variation of a Function

335

with equality if and only if y D xnC1 . On the other hand, also by induction hypothesis we have f .y/ D f .s1 x1 C s2 x2 C    C sn xn /  s1 f .x1 / C s2 f .x2 / C    C sn f .xn / D

1 .t1 f .x1 / C t2 f .x2 / C    C tn f .xn //; 1  tnC1

with equality if and only if x1 D x2 D    D xn . Taking the two inequalities above together, we conclude that f .t1 x1 C t2 x2 C    C tnC1 xnC1 /  .1  tnC1 /f .y/ C tnC1 f .xnC1 /  .t1 f .x1 / C    C tn f .xn // C tnC1 f .xnC1 /; with equality happening if and only if y D xnC1 and x1 D x2 D    D xn . Finally, it’s immediate to verify that these conditions are equivalent to x1 D x2 D    D xn D xnC1 . t u Most often, we shall apply Jensen’s inequality in the form of the coming corollary, which is stated for the reader’s convenience. Corollary 9.75 (Jensen) If I  R is an open interval and f W I ! R is a convex function, then, for x1 ; x2 ; : : : ; xn 2 I, we have  f

x1 C x2 C    C xn n

 

f .x1 / C f .x2 / C    C f .xn / : n

(9.31)

Moreover, if f is strictly convex, then equality happens if and only if x1 D x2 D    D xn . Proof Let t1 D t2 D    D tn D

1 n

t u

in the previous result.

We leave to the reader the task of stating Jensen’s inequality in the case of a (strictly) concave function f . Presently, we concentrate ourselves in discussing some applications of it. Example 9.76 Given n > 1 positive reals a1 , a2 , . . . , an , prove that 

1 1 1 C CC .a1 C a2 C    C an / a1 a2 an



 n2 ;

with equality if and only if a1 D a2 D    D an . Proof Example 9.66 showed that the inverse proportionality function f W .0; C1/ ! R, given by f .x/ D 1x , is strictly convex. Hence, it follows from (9.31) that

336

9 Limits and Derivatives

n Df a1 C a2 C    C an



a1 C a2 C    C an n



f .a1 / C f .a2 / C    C f .an / n 1=a1 C 1=a2 C    C 1=an D n



with equality if and only if a1 D a2 D    D an . Now, it suffices to observe that inequality 1=a1 C 1=a2 C    C 1=an n  a1 C a2 C    C an n t u

is precisely what we wished to get.

Example 9.77 (BMO) Let n > 1 and a1 ; : : : ; an be positive reals with sum equal to 1. For each 1  i  n, let bi D a1 C    C ai1 C aiC1 C    C an . Prove that a1 a2 an n ; C CC  1 C b1 1 C b2 1 C bn 2n  1 with equality if and only if a1 D a2 D    D an D 1n . Proof Substituting bi D 1  ai for 1  i  n, it suffices to prove that a1 a2 an n : C CC  2  a1 2  a2 2  an 2n  1 To this end, we claim first that f W .1; 2/ ! R, given by f .x/ D 4 convex. Indeed, one readily computes f 00 .x/ D .2x/ 3 > 0. Hence, by applying Jensen’s inequality we get n X iD1

1X ai n iD1 n

f .ai /  nf

! D nf

x , 2x

is strictly

  2 1 D ; n 2n  1

with equality if and only if a1 D a2 D    D an , i.e., if and only if a1 D a2 D    D an D 1n . t u Our next example applies Jensen’s inequality to solve an interesting geometric problem. Example 9.78 Let be a semicircle of radius R and diameter A0 A1 . For each integer n > 2, show that there exists a single convex n-gon A0 A1 A2 : : : An1 satisfying the following conditions: (a) A2 ; : : : ; An1 2 . (b) The area of A0 A1 A2 : : : An1 is as large as possible.

9.7 The Second Variation of a Function

337

Fig. 9.15 A convex n-gon inscribed in a semicircle

A3

A2 An−1

A0

A1

O

Proof Figure 9.15 depicts a convex n-gon A0 A1 A2 : : : An1 inscribed in . Let OAiC1 D ˛i for 1  i  n1, where O is the center of (and with the convention Ai b that An D A0 ). Hence, ˛1 C ˛2 C    C ˛n1 D . Applying the sine formula for the area of a triangle (cf. Sect. 7.3 of [4]), we get A.A0 A1 : : : An1 / D

n1 X

A.Ai OAiC1 / D

iD1

n1 X 1 iD1

2

R2 sin Ai b OAiC1

1 2X R sin ˛i : 2 iD1 n1

D

Now, since the sine function is strictly concave in the interval Œ0; , it follows from (9.31) that n1 X

1 X sin ˛i  .n  1/ sin ˛i n  1 iD1 iD1 n1

! D .n  1/ sin

 ; n1

 with equality if and only if ˛1 D    D ˛n1 D n1 . Therefore, there is indeed only one convex n-gon satisfying the prescribed conditions. t u

Problems: Section 9.7 1. Let I; J  R be intervals, and g W I ! J and f W J ! R be two strictly convex functions. If f is increasing, prove that f ı g W I ! R is also strictly convex. 2. Let I; J  R be intervals and f W I ! J be a continuous bijection. If f is strictly convex, prove that f 1 W J ! I is either strictly convex or strictly concave in J. 3. * Prove that the sum of a finite number of strictly convex (resp. strictly concave) functions on a common domain is also a strictly convex (resp. strictly concave). x 4. Let f W .1; 1/ ! R be the function given by f .x/ D p1x . Find the intervals in which f is convex (resp. concave).

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9 Limits and Derivatives

5. Let a; b; c 2 R and f W R ! R be given by f .x/ D x3 C ax2 C bx C c. Find the inflection points of f , as well as the intervals along which it is convex or concave. 6. Let f W .0; C1/ ! R be given by f .x/ D x2 sin 1x . Show that f has infinitely many inflection points. 7. Let f W .0; C1/ ! R be a twice differentiable, nondecreasing and convex function. If g W .0; C1/ ! R is given by g.x/ D xf .x/, show that g is also convex. .y/ 8. Let f W I ! R be a continuous function such that f . xCy /  f .x/Cf for all 2 2 xCy f .x/Cf .y/ for all x; y 2 I). Prove that f is convex (resp. x; y 2 I (resp. f . 2 /  2 concave). f .a/Cf .b/ 9. Let f W I ! R be continuous and such that f . aCb (resp. f . aCb 2 / < 2 2 / > f .a/Cf .b/ ), for all distinct a; b 2 I. Prove that f is strictly convex (resp. concave). 2 10. Let f W .0; C1/ ! R be a continuous, increasing (resp. nondecreasing) and convex (resp. strictly convex) function. Prove that g W .0; C1/ ! R, given by g.x/ D xf .x/, is also strictly convex. 11. Use the results of Problems 8 and 9 to establish the strictly concave or convex character of each of the functions of Example 9.66. 12. Let I be an open interval and f W I ! R be a twice differentiable convex function. Show that, for every x0 2 I, the graph of f is not below its tangent line at x0 . More precisely, show that, for all x; x0 2 I, we have f .x/  f .x0 / C f 0 .x0 /.x  x0 /: 13. (Romania) Let I  R be an interval and f W I ! R be strictly convex and increasing. Prove that the sequence .f .n//n1 does not contain an infinite arithmetic progression. 14. Let k > 1 be an integer and a1 ; a2 ; : : : ; an be positive reals. Prove that ak1 C ak2 C    C akn  n



a1 C a2 C    C an n

k ;

with equality if and only if a1 D a2 D    D an . 15. Let be the circle of center O and radius R, n > 2 be a given integer and A1 A2 : : : An be a convex n-gon inscribed in . (a) Suppose that O does not belong to the interior of A1 A2 : : : An . Use a geometric argument to show that there are convex n-gons inscribed in and with area strictly greater than that of A1 A2 : : : An . (b) Use Jensen’s inequality to show that, among all convex n-gons inscribed in , the regular ones are those of maximal area. 16. Let be given a circle , with center O and radius r, and an integer n > 2. Among all convex n-gons A1 A2 : : : An circumscribed to , prove that the regular ones are those of minimum perimeter.

9.8 Sketching Graphs

339

17. Let ABC be an acute triangle of sides AB D c, AC D b and BC D a. If R is its circumradius (i.e., the radius of the circle circumscribed to ABC), show that p a C b C c  3R 3; with equality if and only if ABC is equilateral. 18. (Romania—adapted) Let ABC be an equilateral triangle of height h, let P be an interior point and x, y and z be the distances from P to the sides of ABC. (a) Prove that x C y C z D h. (b) Find the least possible value of

hx hCx

C

hy hCy

C

hz . hCz

19. (Turkey) Let n > 1 be an integer and x1 ; x2 ; : : : ; xn be positive reals with sum equal to 1. Prove that n X iD1

xi  p 1  xi

r

n  n1

p p x1 C    C xn ; p n1

with equality in any of the above inequalities if and only if x1 D    D xn D 1n .

9.8 Sketching Graphs Let be given an interval I and a continuous function f W I ! R, which is twice differentiable in the interior of I. In principle, the theory developed so far allows us to draw a reasonably accurate sketch of the graph of f . Indeed: (i) The results collected in Problem 10, page 194, allows us to possibly reduce the task of sketching the graph of f to doing so in an appropriate interval J  I. (ii) The first derivative test guarantees that the extreme points of f are either the endpoints of I or the solutions of equation f 0 .x/ D 0. (iii) The study of the first variation of f assures that the intervals along which f increases (resp. decreases) are the solution sets of the inequality f 0 .x/ > 0 (resp. f 0 .x/ < 0). (iv) The inflection points of f are found among the solutions of equation f 00 .x/ D 0. (v) The study of the second variation of f guarantees that the intervals along which f is strictly convex (resp. strictly concave) are the solution sets of the inequality f 00 .x/ > 0 (resp. f 00 .x/ < 0). (vi) The tangent lines to the graph of f in its inflection points help us in sketching the graph in a neighborhood of each of those points. (vii) Definition 9.18 and Problem 11, page 291, teach us how to find (if any) the asymptotes to the graph of f .

340

9 Limits and Derivatives

(viii) The computation of the limits limx!˙1 f .x/ (in case they make sense) allows us to better understand the behavior of the graph of f for large values of jxj. (ix) Plotting some other points along the graph can be quite helpful in sketching it. In this section, we illustrate the application of the program just delineated to sketching the graphs of some simple functions. Example 9.79 Let D D Rnf 2 CkI k 2 Zg. Sketch the graph of the secant function sec W D ! R. Solution (i) First of all, note that it suffices to sketch the graph of sec in . 2 ; 2 /[. 2 ; 3 2 /, for, since the cosine function is periodic of period 2, so is the secant function. On the other hand, since cos.x C / D  cos x for every x 2 R, we have sec.x C / D  sec x for every x 2 D; hence, Problem 10, page 194, guarantees that the portion of the graph of sec in the interval . 2 ; 3 2 / is obtained from that in the interval . 2 ; 2 / by means of a reflection along the horizontal axis, followed by a translation of  units, parallel to that same axis. In view of the above, from now on we restrict the analysis of the graph of the secant function to the interval . 2 ; 2 /. (ii) and (iii) Since sec0 x D .cos1 x/0 D .cos x/2 . sin x/ D

sin x D tan x sec x; cos2 x

(9.32)

we have sec0 x D 0 , sin x D 0 , x D 0. (Indeed, 0 < cos x  1 ) sec x  1, with equality if and only if cos x D 1, i.e., if and only if x D 0. Hence, x D 0 is an extreme point—thus, a critical one—of  On the other  sec.)  0 hand, sec increases , sec x > 0 , sin x > 0 , x 2 0; 2 ; therefore, sec   decreases in  2 ; 0 . (iv) and (v) Firstly, Example 9.34 and (9.32) furnish sec00 x D tan0 x sec x C tan x sec0 x D sec3 x C tan2 x sec x D sec x.sec2 x C tan2 x/: Therefore, sec00 ¤ 0, and sec has no inflection points. Also, since sec is strictly convex if and only if sec00 x > 0, which in turn happens if and only if cos x > 0, we conclude that sec is strictly convex in . 2 ; 2 /. (vii) Since sec is periodic, it graph does not contain horizontal or oblique asymptotes. On the other hand, we easily get limx! 2  sec x D limx! 2 C sec x D C1, so that the vertical lines x D ˙ 2 are asymptotes of the graph of sec. (viii) Since sec is periodic and nonconstant, there does not exist limx!˙1 f .x/.  (ix) Computing cos x for x D 0; ˙ 12 , ˙ 6 , ˙ 4 , ˙ 3 and ˙ 11 , we plot points 12   p     p2  .0; 1/, ˙ 6 ; 3 , ˙ 4 ; 2 and ˙ 3 ; 2 on the graph of sec.

9.8 Sketching Graphs

341

y

y=1 − π2

π 2

0

π

3π 2

x

y = −1

Fig. 9.16 Graph of sec in . 2 ; 2 / [ . 2 ;

3 / 2

Gathering together the above information, we sketch the graph of sec in the interval . 2 ; 2 / [ . 2 ; 3 / as shown in Fig. 9.16. 2 t u Example 9.80 Sketch the graph of the polynomial function f W R ! R, given by f .x/ D 2x3 C 4x2 C 2x  1. Solution (ii) and (iii) Since f 0 .x/ D 6x2 C 8x C 2, the critical points of f are x D 1 and x D  13 . Thus, f 0 .x/ < 0 , x 2 .1;  13 /, and f decreases , f 0 .x/ < 0 , x 2 .1;  13 /. Therefore, f increases , x 2 .1; 1/ [ . 13 ; C1/. It follows that x D 1 (resp. x D  13 ) is a local maximum (resp. minimum) point of f . (iv) and (v) Since f 00 .x/ D 12x C 8 and f is strictly convex (resp. concave) in an interval I if and only if f 00 .x/ > 0 (resp. f 00 .x/ < 0) in I, we conclude that f is strictly convex (resp. concave) in . 23 ; C1/ (resp. .1;  23 /). Finally, x D  23 is the only inflection point of the graph of f . 2 (vi) Notice that f . 23 / D  31 27 , and the tangent line to the graph of f in x D  3 2 2 0 has slope f . 3 / D  3 . Letting .0; c/ be the point where such a tangent line 2 43 intersects the vertical axis, we have c.31=27/ 0.2=3/ D  3 , so that c D  27 .

342

9 Limits and Derivatives

Fig. 9.17 Graph of the polynomial function f .x/ D 2x3 C 4x2 C 2x  1

y 5 4

1 2

1 2 −1 − 3 − 3

− 32

x

−1 35 − 27

− 74

31 − 27 43 − 27

(vii) Since f is defined in the whole real line, its graph does not possess vertical 2 asymptotes. On the other hand, since limx!˙1 f .x/ x D limx!˙1 .2x C 4x C 1 2  x / D C1, Problem 11, page 291, guarantees that the graph of f does not have oblique asymptotes. (viii) It follows from Example 9.17 that limx!˙1 f .x/ D ˙1. (ix) Since f .0/ D 1, it follows from (viii) and the IVT that f has a positive root ˛. Computing f .x/ for x D  32 , 1,  13 , 0, 14 , 13 , 12 and 1, we plot points 1 7 1 1 1 5 . 32 ;  74 /, .1; 1/, . 13 ;  35 27 /, .0; 1/, . 4 ;  32 /, . 3 ; 27 /, . 2 ; 4 / and .1; 7/ on the graph of f . (Recall that, in item (vi), we had already get point . 23 ;  31 / 27 on the graph.) In particular, we conclude that ˛ 2 . 14 ; 13 /. Finally, as in the previous example, we gather the above information to sketch the graph of f in Fig. 9.17. t u Example 9.81 Sketch the graph of f W R n f1g ! R, given by f .x/ D x2 C

1 . xC1

Solution 3

2

1 2x C4x C2x1 (ii) and (iii) Since f 0 .x/ D 2x  .xC1/ , we have f 0 .x/ D 0 , 2 D .xC1/2 3 2 2x C 4x C 2x  1 D 0. Hence, the only critical point of f is the only positive root ˛ of the polynomial function of the previous example, so that ˛ 2 . 14 ; 13 /. Then, f 0 .x/ > 0 , 2x3 C 4x2 C 2x  1 > 0 , x > ˛, and we conclude that f increases in .˛; C1/. Note that ˛ is a minimum local point of f . 2 (iv) and (v) Since f 00 .x/ D 2 C .xC1/ 3 , we have f strictly convex (resp. concave) 1 1 > 1 (resp. xC1 < 1) in I. Therefore, f is in an interval I if and only if xC1 strictly convex in each of the intervals .1; 2/ and .1; C1/, and strictly concave in .2; 1/. Moreover, its only inflection point is x D 2.

9.8 Sketching Graphs

343

(vi) Note that f .2/ D 3, and the tangent line to the graph of f at x D 2 has slope f 0 .2/ D 5. Letting .0; c/ be the point in which such a tangent line c3 intersects the vertical axis, we have 0.2/ D 5, so that c D 7. (vii) Since x D 1 is the only point for which f .x/ is not defined, the vertical line x D 1 is the only candidate for vertical asymptote of the graph. This is indeed the case, for, limx!1 f .x/ D 1 and lim  x!1C f .x/ D C1. f .x/ 1 On the other hand, since limx!˙1 x D limx!˙1 x C x.xC1/ D ˙1, Problem 11, page 291, assures that the graph has no oblique asymptotes. (viii) It follows from Example 9.17 that limx!˙1 f .x/ D C1. (ix) Computing f .x/ for x D  52 ,  32 ,  54 ,  34 ,  12 ,  14 , 0, 14 , 12 , 1 and 2, we plot 3 7 5 39 3 73 1 9 1 67 points . 52 ; 67 12 /, . 2 ;  4 /, . 4 ;  16 /, . 4 ; 16 /, . 2 ; 4 /, . 4 ; 48 /, .0; 1/, 1 7 1 5 3 13 . 4 ;  32 /, . 2 ; 4 /, .1; 2 / and .2; 3 / on the graph of f . (Recall that, in item (vi), we had already get point .2; 3/ on the graph.) Once more, we collect all of the above to sketch the graph of f , as shown in Fig. 9.18. Note that, for the purpose of a better qualitative picture, we adopted different scales on the horizontal and vertical axes. t u

Fig. 9.18 Graph of 1 f .x/ D x2 C xC1

y

3

−2

−1

α

x

344

9 Limits and Derivatives

Problems: Section 9.8 1. Sketch the graph of the cosecant function, csc W R n fkI k 2 Zg ! R, such that csc x D sin1 x . 2. In each of the items below, sketch the graph of the given function (defined in its maximal domain). For each such function (and whenever pertinent), compute explicitly or estimate the critical points, monotonicity intervals, inflection points, tangent lines at inflection points, intervals of convexity or concavity, asymptotes and behavior at infinity: (a) (b) (c) (d)

f .x/ D x4 C 2x2  2x C 1. f .x/ D x C 1x . f .x/ D x2 1C1 . f .x/ D x3 1C1 .

(e) (f) (g) (h)

f .x/ D f .x/ D f .x/ D f .x/ D

C x2 1C1 . x . x2 C1 x . 2 x 3xC2 x . 2 2 .x C1/.x 1/ x 2

3. * Let f W .a; b/ ! R be twice differentiable at x0 2 .a; b/, with f 00 .x0 / ¤ 0. Since f is in particular differentiable at x0 , the tangent line r to the graph at A.x0 ; f .x0 //, is not vertical. We define the osculating circle to the graph at A as the circle tangent to r at A that better approximates the shape of the graph in a neighborhood of x0 , in the following sense: taking c 2 .a; x0 / and d 2 .x0 ; b/ such that one of the arcs of situated in the strip defined by the vertical lines x D c and x D d is the graph of a function g W .c; d/ ! R, we have g.x0 / D f .x0 /, g0 .x0 / D f 0 .x0 / and g00 .x0 / D f 00 .x0 /. In this respect, do the following items: (a) Let O.˛; ˇ/ be the center of . If f 0 .x0 / D 0, show that ˛ D x0 ; if f 0 .x0 / ¤ 0, .x0 / show that ˇf D  f 0 .x1 0 / . ˛x0 (b) Show that the equation of is .x  ˛/2 C .y  ˇ/2 D R2 , where R D p .x0  ˛/2 C .f .x0 /  ˇ/2 is its radius. (c) For x 2 .c; d/, substitute y D g.x/ in (b) and differentiate the relation thus 0 .x /2 x0 ˛ 0 D f 0 .x0 / and g00 .x0 / D 1Cf obtained to get g0 .x0 / D ˇg.x ˇf .x0 / . 0/  0 2 .x0 / 1Cf 0 .x0 /2 0 . From and ˛ D x  f .x / (d) Conclude that ˇ D f .x0 / C 1Cf 0 0 00 00 f .x0 / f .x0 / this, and with respect to the line r, show that O is located in the upper (resp. lower) half-plane, provided f is strictly convex (resp. strictly concave) in a neighborhood of x0 . 0 2 3=2 (e) Show that R D .1Cfjf 00.x.x00//j/ . (In particular, observe that the osculating circle at A is uniquely determined by the conditions given at the statement of the problem.) u D .1; f 0 .x //, of origin A, is parallel to the (f) Show that the geometric vector ! 0 u a counterclockwise rotation with line r. Show also that, upon applying to ! !

center A and angle 90ı , we get a vector of the form  AO, with  2 R . The radius R of is the curvature radius of the graph of f at x0 (or A); the curvature of the graph at x0 is the real number

9.8 Sketching Graphs

345

Fig. 9.19 Osculating circle to the graph of x 7! 1x at A

y

O

Γ

A

x

kD

f 00 .x0 /

D ; R .1 C f 0 .x0 /2 /3=2

 where D jj 2 f˙1g is the sign of . (Observe that the bigger R, the closer jkj is to 0. This fact reflects gives geometric intuition to the term curvature.) p (g) Let R > 0 and f W .R; R/ ! R be given by f .x/ D R2  x2 (so that the graph of f is a semicircle of radius R). Show that the curvature radius of the graph of f is constant and equal to R.

As an illustration, Fig. 9.19 brings the osculating circle to the graph of f .x/ D 1x , x > 0, at a point A. 4. The purpose of this problem is to sketch the graph of f W R ! R, given by  f .x/ D

0; se x D 0 : x sin 1x ; se x ¤ 0

To this end, do the following items: (a) Show that it suffices to consider the case x  0. (b) Show that the set of critical points of f in .0; C1/ is the set of reals x such that x D 1y , where y > 0 satisfies the equation sin y  y cos y D 0. (c) Show that the solutions y > 0 to this equation form a sequence .yn /n1 , such that n < yn < n C 2 and the sequence .n C 2  yn /n1 decreases to 0 when n ! C1. (d) If xn D y1n for n  1, show that x2k1 is a local minimum point and x2k is a local maximum point for f , for every k  1. (e) Show that jf .x1 /j > jf .x2 /j > jf .x3 /j >    ! 0. (f) f increases in Œx1 ; C1/, with limx!C1 f .x/ D 1. 1 1 (g) Mostre que f is strictly convex in . 2k ; .2k1/ / and strictly concave in 1 1 . .2kC1/ ; 2k /, for every integer k  1. (h) Sketch the graph of f .

Chapter 10

Riemann’s Integral

This chapter completes the task of establishing the fundamentals of Calculus, this time studying the operation of integration on functions. As we shall see in the next section, in its most simple form this reduces to the computation of areas under the graphs of nonnegative continuous functions f W Œa; b ! R, suggesting that geometric intuition will play a strong role throughout. Among other byproducts of the coming discussions, we prove the irrationality of  and study the properties of two of the most ubiquitous functions of Mathematics, the exponential and logarithmic functions with base e.

10.1 Some Heuristics II Our story begins in the III century B.C., with the great Archimedes, who considered (and solved) the problem of computing the area under an arc of parabola, by using the method of exhaustion. In modern notation and in a slightly more general situation, the heuristics behind such a method is the following: given a nonnegative function f W Œa; b ! R (cf. Fig. 10.1), one wants to compute the area of the region R of the cartesian plane, situated under the graph of f and above the horizontal axis, so that R D f.x; y/ 2 R2 I a  x  b and 0  y  f .x/g: To this end, one starts by dividing the interval Œa; b into k equal intervals, with the aid of the points a D t0 < t1 <    < tk D b such that ti  ti1 D ba k for 1  i  k. Then (cf. Fig. 10.2), one considers the portion of R contained in the vertical strip bounded by the straight lines x D ti1 and x D ti , and approximates its area, from below, by that of the greatest rectangle contained therein and having the Œti1 ; ti  as one of its sides; accordingly, one approximates the area of that portion of © Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_10

347

348

10 Riemann’s Integral

Fig. 10.1 The region R under the graph of f

f R a

Fig. 10.2 Approximating the area of R from above and from below

b

x

b

x

f mi a

Mi

ti−1 ti

R, from above, by that of the smallest rectangle containing it and having the interval Œti1 ; ti  as one of its sides. One now approximates the whole area of R from below and from above, computing, in each case, the sums of the areas of the k rectangles of the previous paragraph. Assuming that f attains its minimum and maximum values in each interval Œti1 ; ti  (which is always the case if f is continuous), and letting mi and Mi respectively denote such values (so that mi and Mi are the lengths of the heights of the rectangles one is considering), one obtains the sums A.f I k/ WD

k X

 k ba X mi k iD1

(10.1)

 k ba X Mi : k iD1

(10.2)

 mi .ti  ti1 / D

iD1

and A.f I k/ WD

k X iD1

 Mi .ti  ti1 / D

Letting A.R/ denote the area of R, one then gets A.f I k/  A.R/  A.f I k/; and hopes that A.f I k/ and A.f I k/ do approximate A.R/ better and better as k ! C1. In order to illustrate the difficulties involved, let’s consider the more particular situation of the function f W Œ0; b ! R given by f .x/ D xn , where n is a given natural number. As before, letting k 2 N and 0 D t0 < t1 <    < tk D b be the partition of Œ0; b such that ti  ti1 D bk for 1  i  k, we have ti D bik for n 0  i  k. Also, since x 7! xn is increasing, it follows that mi D f .ti1 / D ti1 and

10.1 Some Heuristics II

349

Mi D f .ti / D tin . Thus, A.f I k/ D

 nC1 X k k k   b X n b X bi n b ti D  D in  k iD1 k iD1 k k iD1

(10.3)

and, analogously,  nC1 X k b .i  1/n : A.f I k/ D k iD1

(10.4)

It easily follows from these computations that A.f I k/  A.f I k/ D

bnC1 I k

(10.5)

hence, A.f I k/  A.f I k/ ! 0 as k ! C1. Therefore, at least in this case, we conclude that A.f I k/ and A.f I k/ approximate A.R/ better and better, as the number k of rectangles increases. To compute the actual value of A.R/, we use the result of Problem 21, page 86, which guarantees that k k X .k  1/nC1 X n < .i  1/n < i: nC1 iD1 iD1

Combining these inequalities with (10.3) and (10.4), we get A.f I k/
0, there exists a partition P of Œa; b such that S.f I P /  s.f I P / < :

(10.16)

Proof Firstly, suppose that f is integrable, so that supP s.f I P/ D infP S.f I P/. Let this common value be denoted by I, and let  > 0 be given. Since I D supP s.f I P/ is the least upper bound for the set of lower sums of f and I  2 < I, there exists a partition P1 of Œa; b such that I  2 < s.f I P1 /. Analogously, since I D infP S.f I P/ is the greatest lower bound for the set of upper sums of f and I C 2 > I, there exists a partition P2 of Œa; b such that S.f I P2 / < I C 2 . Letting P D P1 [ P2 , it follows from (10.14) that      I D : S.f I P /  s.f I P /  S.f I P2 /  s.f I P1 / < I C 2 2 Conversely, assume that the stated condition is satisfied. Then, given  > 0, and taking a partition P as in the statement, it follows from (10.15) that 0  inf S.f I P/  sup s.f I P/  S.f I P /  s.f I P / < : P

P

However, since  > 0 was arbitrarily chosen, it follows that infP S.f I P/  supP s.f I P/ D 0, as wished. t u We can finally establish the integrability of monotone and continuous functions. Theorem 10.5 Every monotone function f W Œa; b ! R is integrable. Proof Suppose f to be nondecreasing, the case of a nonincreasing function being totally analogous. Then, the image of contained in the interval Œf .a/; f .b/, so that it

356

10 Riemann’s Integral

is clearly bounded. Let  > 0 be given. By Cauchy’s integrability criterion, in order to establish the integrability of f it suffices to find a partition P D fa D x0 < x1 <    < xk D bg of Œa; b such that condition (10.16) is satisfied for P D P. Given a partition P as above, f being nondecreasing implies mj D infff .x/I xj1  x  xj g D f .xj1 / and, analogously, Mj D f .xj /. Hence, S.f I P/  s.f I P/ D

k X

Mj .xj  xj1 / 

jD1

D

k X

mj .xj  xj1 /

jD1

k X .f .xj /  f .xj1 //.xj  xj1 /: jD1

Letting ı D maxfxj  xj1 I 1  j  kg, the last equality above and (3.15) give S.f I P/  s.f I P/
0, in order to establish the integrability of f it suffices to find a partition P D fa D x0 < x1 <    < xk D bg of Œa; b such that (10.16) is satisfied for P D P. As in the proof of the previous of the previous result, S.f I P/  s.f I P/ D

k X jD1

D

k X

Mj .xj  xj1 / 

k X

mj .xj  xj1 /

jD1

(10.17) .Mj  mj /.xj  xj1 /:

jD1

Now, Theorem 8.24 assures that f is uniformly continuous. Therefore, according to Definition 8.22, given  0 > 0 there exists ı > 0 such that x; y 2 Œa; b and jx  yj < ı ) jf .x/  f .y/j <  0 :

10.2 The Concept of Integral

357

Thus, starting with a partition P such that xj  xj1 < ı for 1  j  k, we conclude that xj1  x; y  xj ) jx  yj < ı ) jf .x/  f .y/j <  0 : However, since Mj D supff .x/I xj1  x  xj g and mj D infff .y/I xj1  y  xj g, it easily follows from the above inequality that xj  xj1 < ı ) Mj  mj   0 ; 8 1  j  k:

(10.18)

Finally, letting P be a partition such that xj  xj1 < ı for 1  j  k, it follows from (10.17), (10.18) and (3.15) that S.f I P/  s.f I P/ D

k X

.Mj  mj /.xj  xj1 /

jD1



k X

 0 .xj  xj1 / D  0 .b  a/:

jD1

Therefore, in order to get S.f I P/  s.f I P/ <  it suffices to start with  0 D

 . 2.ba/

t u

As anticipated in the end of the previous section, if f W Œa; b ! R is an integrable function, we let Z b f .x/dx (10.19) a

denote the integral of f on the interval Œa; b. Note also that it does not matter Rb whether we denote the integral of f on Œa; b as above or writing a f .t/dt. Indeed, such a change in notation is equivalent to changing the notation for the independent variable of f , which certainly does not alter the value of the integral. In spite of what we have done so far, unfortunately we do not have yet a general procedure for computing integrals of (integrable) specific functions f W Œa; b ! R. We shall remedy this situation in Sect. 10.5. However, see Problems 2, 4, 5 and 10.

Problems: Section 10.2 1. * Complete the proof of Lemma 10.1 showing that, if f W Œa; b ! R is bounded and P and Q are partitions of Œa; b such that P  Q, then s.f I P/  s.f I Q/. 2. * If f W Œa; b ! R is a constant function, say f .x/ D c for every x 2 Œa; b, show that Z

b

f .x/dx D c.b  a/: a

358

10 Riemann’s Integral

3. Let f W Œa; b ! R be a monotone function and Pk D fa D x0 < x1 <    < xk D bg be a uniform partition of Œa; b, i.e., such that xj  xj1 D ba k for 1  j  k. Show that Z

b

f .x/dx D lim s.f I Pk / D lim S.f I Pk /: a

k!C1

k!C1

4. * Given a nonnegative function f W Œa; b ! R, check that the approximations (10.1) and (10.2) for the area of the region R under the graph of f are particular cases of lower and upper sums of f . Then, use this fact, (10.6) and the result of the previous problem to show that, given n 2 N and b > 0, we have Z

b

xn dx D 0

bnC1 : nC1

Rbp 5. In order to compute a x dx, do the following items: (a) Show that, for reals u  v  0, one has p p p p 2 p 1 1 p .u u  v v/  .u  v/. u  v/ < . u C v/.u  v/ 3 3 2 and p p 1 p 2 p . u C v/.u  v/ < .u u  v v/: 2 3 (b) If Pk D fa D x0 < x1 <    < xk D bg is a uniform partition of Œa; b, use the result of (a) to show that p p p p p p 2 p b a .b  a/. b  a/ .b b  a a/  < s. xI Pk / C 3 3k 2k and p p p 2 p b a < .b b  a a/: 2k 3 p Rbp p (c) Conclude that a x dx D 23 .b b  a a/. p R1 1 6. Assume that 0 pxC1 dx D 2. 2  1/. (We shall compute this integral in item  1 1 (d) of Problem 1, page 397.) If an D p1n p1Cn C p2Cn C    C p12n for p n 2 N, show that .an /n1 converges to 2. 2  1/. p s. xI Pk / C

10.2 The Concept of Integral

359

R1 1  7. We shall compute 0 1Cx 2 dx D 4 in Example 10.42. Use this fact to show that,  1 1 1 if an D n n2 C1 2 C n2 C22 C    C n2 Cn2 , then the sequence .an /n1 converges to 4 . 8. Let f W Œa; b ! R be a bounded function and ˛ > 0 be given. If for each k 2 N there exists a partition Pk of Œa; b satisfying S.f I Pk /  s.f I Pk / < ˛k , show that f is integrable, with Z

b

f .x/dx D lim s.f I Pk / D lim S.f I Pk /: k!C1

a

k!C1

For the coming problem, the reader might find it convenient to read again the statement of Problem 3, page 262. 9. Let f W Œa; b ! R be a Lipschitz function, with Lipschitz constant c, and let Pk D fa D x0 < x1 <    < xk D bg be a uniform partition of interval Œa; b. 2

(a) Show that S.f I Pk /  s.f I Pk / < c.ba/ . k (b) For 1  j  k, choose a real number kj 2 Œxj1 ; xj  and define the sum P †.f I Pk I k / by †.f I Pk I k / D kjD1 f .kj /.xj  xj1 /. Prove that Z

b

f .x/dx D lim †.f I Pk I k /: a

k!C1

10. * Do the following items: (a) Given a; h 2 R, with h ¤ 2l for every l 2 Z, prove that k X

sin.a C jh/ D

 sin a C

.k1/h 2



sin .kC1/h 2

sin h2

jD0

and k X

cos.a C jh/ D

 cos a C

.k1/h 2

Rb a

sin x dx D cos a  cos b and

sin .kC1/h 2

sin h2

jD0

(b) Show that



Rb a

cos x dx D sin b  sin a.

11. Let f W Œ0; 1 ! R be given by  f .x/ D

0; if x D 0 or x … Q : 1 ; if x D mn with m; n 2 N and gcd.m; n/ D 1 n

Prove that f is integrable.

360

10 Riemann’s Integral

10.3 Riemann’s Theorem and Some Remarks In this section we state and prove an important theorem of Riemann on the characterization of Riemann integrable functions, as well as make some other important remarks on the theory of integration we are developing. In particular, we rigorously define the concept of area for the region under the graph of a nonnegative integrable function, which was informally discussed in the first section of the chapter. I. RIEMANN’S THEOREM. Usually, the presentation of the concept of integral in Calculus courses makes use of the concept of Riemann sums. More precisely, given a bounded function f W Œa; b ! R, one defines f as being (Riemann) integrable if there exists a real number I (the Riemann integral of f ) satisfying the following condition: given  > 0, there exists ı > 0 such that, for every partition P D fa D x0 < x1 <    < xk D bg of Œa; b and every choice of points j 2 Œxj1 ; xj , 1  j  k, one has k ˇX ˇ ˇ ˇ f .j /.xj  xj1 /  I ˇ < : maxfjxj  xj1 jI 1  j  kg < ı ) ˇ

(10.20)

jD1

In the above notations, we say that maxfjxj  xj1 jI 1  j  kg is the norm of P the partition P and that kjD1 f .j /.xj  xj1 / is the Riemann sum of f with respect to P and to the chosen intermediate points  D .j /1jk . Letting jPj D maxfjxj  xj1 jI 1  j  kg and †.f I PI / D

k X

f .j /.xj  xj1 /;

jD1

we summarize (10.20) by saying that I is the limit of the Riemann sums †.f I PI /, when jPj ! 0 and for every choice  D .j / of intermediate points relative to P. Moreover, in this case we simply write I D lim †.f I PI /: jPj!0

The following result shows that the above definition of integral coincides with the one we have adopted in the previous section. The proof of it can surely be omitted on a first reading. Theorem 10.7 (Riemann ) A bounded function f W Œa; b ! R is integrable (in the sense of the previous section) if and only if the limit limjPj!0 †.f I PI / of its Riemann sums exists, does not depending on the chosen intermediate points of . Moreover, in this case one has Z

b a

f .x/dx D lim †.f I PI /: jPj!0

10.3 Riemann’s Theorem and Some Remarks

361

Rb Proof We first assume that f is integrable in Œa; b, with a f .x/dx D I. Given  > 0, we want to find ı > 0 such that, for every partition P of Œa; b, it is the case that jPj < ı ) j†.f I PI /  Ij < , for every choice  of intermediate points. To this end, start by choosing (by Cauchy’s integrability criterion) a partition P0 D fa D x0 < x1 < : : : < xk D bg of Œa; b such that S.f I P0 /  s.f I P0 / < 4 . For a general partition P D fa D y0 < y1 < : : : < yl D bg of Œa; b, there are two different kinds of intervals .yi1 ; yi /: those which contain at least one of the xj ’s and those which do not. If we choose 0 < ı < 12 jP0 j, then jPj < ı implies yi  yi1 < 12 .xj  xj1 / for all 1  i  l, 1  j  k. Therefore, each interval .yi1 ; yi / contains at most one of the xj ’s and each interval .xj1 ; xi / contains at least three of the yi ’s. This way, we can write †.f I PI / D †0 .f I PI / C †00 .f I PI /; where †0 .f I PI / (resp. †00 .f I PI /) denotes the collection of those summands of †.f I PI / corresponding to indices i such that .yi1 ; yi / \ P0 ¤ ; (resp. .yi1 ; yi / \ P0 D ;). Let  D .1 ; : : : ; l / be an arbitrary choice of intermediate points for P, and observe that j†.f I PI /  Ij  j†0 .f I PI /j C j†00 .f I PI /  Ij:

(10.21)

We now let M D supŒa;b jf j and estimate each of the summands at the right hand side above. (i) Estimating j†0 .f I PI /j: the restriction imposed on ı forces †0 .f I PI / to have at most k1 summands (at most one for each of x1 , . . . , xk1 ). Since jf .i /j  M and yi  yi1 < ı, we get j†0 .f I PI /j D j†0 f .i /.yi  yi1 /j  †0 jf .i /j.yi  yi1 / < Mı.k  1/: (ii) Estimating j†00 .f I PI /  Ij: we start by noticing that j†00 .f I PI /  Ij  j†00 .f I PI /  s.f I P0 /j C js.f I P0 /  Ij  < j†00 .f I PI /  s.f I P0 /j C ; 4

(10.22)

so we are left to estimating j†00 .f I PI /  s.f I P0 /j. To this end, first recall that if 1  i  l is one of the indices that fall into †00 , then .yi1 ; yi / does not contain any of the xj ’s, but there is exactly one index 1  j  k such that Œyi1 ; yi   Œxj1 ; xj . Hence, we can write †00 .f I PI / D †001 .f I PI / C    C †00k .f I PI /;

362

10 Riemann’s Integral

where †00j .f I PI / stands for those summands of †00 .f I PI / corresponding to indices 1  i  l such that Œyi1 ; yi   Œxj1 ; xj . Therefore, if mj D infŒxj1 ;xj  f , then the triangle inequality gives j†00 .f I PI /  s.f I P0 /j 

k X

j†00j .f I PI /  mj .xj  xj1 /j:

jD1

In order to deal with this last sum, fix 1  j  k and let 1  i  l be such that Œyi1 ; yi   Œxj1 ; xj . Recall that our choice of ı forces Œxj1 ; xj  to contain at least another point of P. Therefore, if rj  i  1 and sj  i are respectively the least and greatest indices such that .yrj ; ysj /  .xj1 ; xj /, then sj  rj  2 and we have yrj 1 < xj1  yrj < : : : < yi1 < yi < : : : < ysj  xj < ysj C1 : This way, and letting Sj D j†00j .f I PI /  mj .xj  xj1 /j and Mj D supŒxj1 ;xj  f , we estimate Sj by writing sj sj ˇ X X ˇ Sj  ˇ f .t /.yt  yt1 /  mj .yrj  xj1 /  mj .yt  yt1 / tDrj C1

tDrj C1

ˇ ˇ  mj .xj  ysj /ˇ



sj X

jf .t /  mj j.yt  yt1 / C jmj j.yrj  xj1 / C jmj j.xj  ysj /

tDrj C1



sj X

.Mj  mj /.yt  yt1 / C 2jmj jı

tDrj C1

 .Mj  mj /.ysj  yrj 1 / C 2Mı  .Mj  mj /.xj  xj1 / C 2Mı; where we used the facts that jf .t /  mj j  Mj  mj , 0 < yrj  xj1 ; xj  ysj < ı and ysj  yrj 1  xj  xj1 . Hence, we get from (10.22) that j†00 .f I PI /  s.f I P0 /j 

k X jD1

Sj 

k X   .Mj  mj /.xj  xj1 / C 2Mı jD1

D S.f I P0 /  s.f I P0 / C 2Mık
0, there exist open intervals I1 , I2 , I3 , . . . such that X

[

Ij and

j1

X

jIj j < ;

j1

where jIj j stands for the length of Ij . The following result links the concept of null set to that of Riemann integrable functions. Theorem 10.10 (Lebesgue) A bounded function f W Œa; b ! R is Riemann integrable if and only if the set Df of its points of discontinuity has measure zero.

2

After Henri Lebesgue, French mathematician of the XX century.

10.3 Riemann’s Theorem and Some Remarks

365

We shall not prove Lebesgue’s theorem here, and refer the interested reader to [1, 9] or [20]. The reason is that, apart from the Problem 4 (which will be obtained by more elementary methods in the coming section) and Problem 5, page 468 (for which we present two proofs, one of which does not make use of Lebesgue’s theorem), we will not use it anywhere else in the book. Nevertheless, it is important to realize that it gives a unified explanation for the status, with respect to integration, of all of the functions of the next to last paragraph. Indeed, since the set of points of discontinuity of a continuous (resp. piecewise continuous) function is empty (resp. finite), hence of measure zero, such functions are integrable. On the other hand, it is possible to prove that Q is a null set, while Œ0; 1 is not (for the case of Q, see Problem 2); this explains why the function of Problem 11, page 359 is integrable (for, its set of points of discontinuity is Q \ Œ0; 1, which—being a subset of Q—is certainly a null set), as well as why the Dirichlet function is not integrable (for, its set of points of discontinuity is the whole interval Œ0; 1). Let I denote the set of irrational numbers. It is possible to prove that the set I \ Œa; b, of the irrational numbers of the closed interval Œa; b, is not a null set. Hence, Lebesgue’s theorem assures that a function f W Œa; b ! R whose set of points of discontinuity is I \ Œa; b is not integrable. However, as we stressed before, such a function does not exist (a proof can be found in [1], for instance). Lebesgue’s contributions to integration theory go far beyond Theorem 10.10. At the dawn of the XX century, he introduced a much more refined and flexible concept of integral in his doctor’s thesis. In order to get a glimpse of it, we shall first of all need the following Definition 10.11 The characteristic function of a set A  R is the function XA W Œa; b ! R such that  XA .x/ D

1; if x 2 A : 0; if x … A

Now, let f W Œa; b ! Œ0; L be a nonnegative bounded function. In the context of Riemann’s integral, we start by choosing a partition P D fa D x0 < x1 <    < xk D bg of the domain Œa; b of f . Then, we define the step functions fP; ; fP;C W Œa; b ! R by letting fP; D

k X

mj XŒxj1 ;xj  and fP;C D

jD1

k X

Mj XŒxj1 ;xj  ;

jD1

where mj D infŒxj1 ;xj  f and Mj D supŒxj1 ;xj  f . In the next section, we shall show (cf. Example 10.20) that such functions are Riemann integrable, with Z

b

fP; .x/dx D a

k X jD1

Z

b

mj .xj  xj1 / and

fP;C .x/dx D a

k X jD1

Mj .xj  xj1 /:

366

10 Riemann’s Integral

Thus, in accordance with the previous section, f is Riemann integrable if Z b Z b fP; .x/dx D inf fP;C .x/dxI sup P

P

a

a

moreover, in this case the integral of f coincides with this common value. On the contrary, in the realm of Lebesgue’s integral, we start with a partition Q D f0 D y0 < y1 <    < yl D Lg of the codomain Œ0; L of f . Then, for 1  j  k  1 we take the inverse image Aj of the interval Œyj1 ; yj / by f , which is defined by Aj D fx 2 Œa; bI f .x/ 2 Œyj1 ; yj /gI we also consider the inverse image Ak of the interval Œyk1 ; yk , such that Ak D fx 2 Œa; bI f .x/ 2 Œyk1 ; yk g: If these sets are not too complicated (in a sense that doesn’t interest us at this moment), one can show that it is possible to associate to Aj a nonnegative real number m.Aj /, which we call the Lebesgue measure of Aj . Moreover, this is done in such a way that if Aj is an interval then m.Aj / coincides with the length of Aj ; in this case, we say that Aj is a (Lebesgue) measurable set. Assuming that all of the Aj ’s are measurable, we consider the simple function fQ D

k X

yj1 XAj

jD1

and define its Lebesgue integral, denoted Z Œa;b

fQ D

R

Œa;b fQ ,

k X

by

yj1 m.Aj /:

(10.23)

jD1

Finally, if for every partition Q of Œ0; L the resulting sets Aj are measurable, then we say that f is a Rmeasurable function; if this is so, we define the Lebesgue integral of f , denoted Œa;b f , by Z

Z f D sup Œa;b

 fQ I Q is a partition of Œ0; L :

(10.24)

Q

Although we have “defined” the Lebesgue integral just for nonnegative bounded functions, it is possible to consider the notion of Lebesgue integral in the context of bounded measurable (but not necessarily nonnegative) functions f W Œa; b ! R. (Actually, we could consider the even more general case of an unbounded measurable function, but this will not play a role here).

10.3 Riemann’s Theorem and Some Remarks

367

It is possible to show that the Lebesgue integral is more comprehensive than the Riemann integral, in two ways: on the one hand, every (bounded) Riemann integrable function f W Œa; b ! R is also Lebesgue integrable and the values of both integrals of f coincide; on the other, there exist bounded functions f W Œa; b ! R which are not Riemann integrable but are Lebesgue integrable (the Dirichlet function is one such—see Problem 5). Moreover, as we shall comment on Sect. 11.2 (cf. Remark 11.15), Lebesgue integration also has at its disposal a number of convergence results whose proofs are inaccessible in the context of Riemann integration, but which reveal themselves to be central tools for the study of the deeper properties of sequences and series of functions. Actually, such results are one of the main reasons behind the fact that Lebesgue integration is more adequate than Riemann integration for many purposes in Mathematics and its applications. To name one relevant example, it is completely indispensable to the modern study of Partial Differential Equations and Differential Geometry. If this is so, the reader might ask why not to study the Lebesgue integral in advance, relegating the Riemann integral to a museum. The reason is that, on the one hand, in spite of its greater flexibility, an adequate presentation of the concepts needed to develop Lebesgue’s notion of integral is considerably more complicated than what we have done so far to the Riemann integral (in (10.24), the sets Aj may be very complicated); on the other hand, and as we shall see later in this chapter, Riemann’s integral suffices to the discussion of several interesting problems. For the interested reader, we suggest the references [20] or [27] for rather elementary introductions to the Lebesgue measure and integral.

Problems: Section 10.3 R1 1. In item (c) of Problem 1, page 397, we shall show that 0 x sin.x/dx D 1 .  k  Pn k Use this fact to show that, if an D kD1 n2 sin n , then .an /n1 converges and limn!C1 an D 1. 2. * Show that Q is a null set. S 3. Prove that if A1 ; A2 ; : : :  R are null sets, then so is j1 Aj . 4. Use Lebesgue’s theorem to prove that if f ; g W Œa; b ! R are Riemann integrable, then fg W Œa; b ! R is also Riemann integrable. 5. Show that Dirichlet’s function f W Œ0; 1 ! R (cf. Example 10.3) is Lebesgue R integrable, with Œ0;1 f D 0. 6. If f W Œa; b ! Œ0; L is a monotone function, we have showed in Theorem 10.5 that f is Riemann integrable. Show that f is also Lebesgue integrable, with Rb R a f .x/dx D Œa;b f .

368

10 Riemann’s Integral

7. (Berkeley) Let f W Œ0; C1/ ! Œ0; C1/ be a continuous and increasing bijection. Show that Z a Z b f .x/dx C f 1 .x/dx  ab; 0

0

for every positive reals a and b. 8. (Leningrad) Let f ; g W Œ0; 1 ! Œ0; 1 be continuous functions, with f nondecreasing. Prove that Z 1 Z 1 Z 1 .f ı g/.x/dx  f .x/dx C g.x/dx: 0

0

0

9. * Complete the proof of Riemann’s theorem.

10.4 Operating with Integrable Functions This section is devoted to the derivation of some useful operational properties for the Riemann integral. In spite of the fact that such properties will be extensively used along the rest of the book, their proofs can be omitted in a first reading, with essentially no loss of continuity. Along all of this section, given bounded functions f ; g W Œa; b ! R and a partition P D fa D x0 < x1 <    < xk D bg of Œa; b, we shall denote the infimums of f and g in Œxj1 ; xj  by mj .f / and mj .g/, respectively; accordingly, Mj .f / and Mj .g/ will denote the supremums of f and g in the same interval Œxj1 ; xj , also respectively. If f ; g W Œa; b ! R are nonnegative integrable functions, with f  g, then the regions Rf e Rg , respectively situated under the graphs of f and g, are such that Rf  Rg ; we therefore expect that A.Rf /  A.Rg /. This is indeed the case, and we usually refer to it by saying that the Riemann integral is monotonic. The general case is as follows. Proposition 10.12 If f ; g W Œa; b ! R are integrable functions such that f  g, Rb Rb then a f .x/dx  a g.x/dx. Proof Letting P D fa D x0 < x1 <    < xk D bg denote a partition of Œa; b, it follows at once from f  g that Mj .f /  Mj .g/ for 1  j  k. Hence, S.f I P/ D

k X

Mj .f /.xj  xj1 / 

jD1

However, since

Rb a

k X

Mj .g/.xj  xj1 / D S.gI P/:

jD1

f .x/dx  S.f I P/, we conclude that Z b f .x/dx  S.gI P/; a

10.4 Operating with Integrable Functions

for every partition P of Œa; b. Thus, upper sums S.gI P/, so that Z

b

369

Rb a

f .x/dx is a lower bound for the set of the Z

b

f .x/dx  inf S.gI P/ D P

a

g.x/dx: a

t u For what comes next, we consider again a nonnegative integrable function f W Œa; b ! R and a positive real number c. Problem 10, page 194, guarantees that the region Rcf under the graph of the function cf can be obtained from the region Rf under the graph of f by vertically stretching Rf by a factor c; we thus hope that A.Rcf / D cA.Rf /. On the other hand if g W Œa; b ! R is another integrable and nonnegative function, then, for each x0 2 Œa; b, the segment of the vertical line x D x0 contained in Rf Cg (the region under the graph of f C g) has length equal to the sum of the lengths of the segments of such a line which are contained in Rf and Rg ; thus suggests that Rf Cg can be obtained by glueing Rg right above Rf and, hence, that we should have A.Rf Cg / D A.Rf / C A.Rg /. The next result shows that the two properties of the Riemann integral hinted by the heuristic reasonings above are actually true. From now on, we shall refer to these properties by saying that the Riemann integral is respectively linear and additive. Proposition 10.13 Let f ; g W Œa; b ! R be integrable, and let c 2 R. Then: Rb Rb (a) cf W Œa; b ! R is integrable, with a cf .x/dx D c a f .x/dx. Rb Rb Rb (b) f Cg W Œa; b ! R is integrable, with a .f .x/Cg.x//dx D a f .x/dxC a g.x/dx. Proof (a) As in the proof of the previous proposition, let P D fa D x0 < x1 <    < xk D bg be a partition of Œa; b. If c > 0, it is immediate to verify (see Problem 12, page 207) that mj .cf / D inf .cf / D c  inf f D c mj .f / Œxj1 ;xj 

Œxj1 ;xj 

and, analogously, Mj .cf / D cMj .f /. Thus, s.cf I P/ D

k X

mj .cf /.xj  xj1 / D c

jD1

k X

mj .f /.xj  xj1 / D c s.f I P/

jD1

and, analogously, S.cf I P/ D c S.f I P/. The integrability of f and the elementary properties of the concepts of supremum and infimum (see Problem 12, page 207, again) give us Z

b

sup s.cf I P/ D sup.c s.f I P// D c sup s.f I P/ D c P

P

P

f .x/dx a

370

10 Riemann’s Integral

and Z

b

inf S.cf I P/ D inf.c S.f I P// D c inf s.f I P/ D c P

P

P

f .x/dx: a

If c < 0, the deduction of the two relations above is entirely analogous; one just needs to observe that mj .cf / D c Mj .f /, Mj .cf / D c mj .f /, s.cf I P/ D c S.f I P/ and S.cf I P/ D c s.f I P/, so that Z sup s.cf I P/ D sup.c S.f I P// D c inf S.f I P/ D c P

P

P

b

f .x/dx

a

Rb and, in the same way, infP S.cf I P/ D c a f .x/dx. Rb In any case, we have infP S.cf I P/ D supP s.cf I P/ D c a f .x/dx. Therefore, cf is integrable, with Z

Z

b

b

cf .x/dx D inf S.cf I P/ D c P

a

f .x/dx: a

(b) Let P and Q be partitions of Œa; b such that P [ Q D fa D x0 < x1 <    < xk D bg. It readily follows from Problem 13, page 207, that sup .f C g/  sup f C sup g;

Œxj1 ;xj 

Œxj1 ;xj 

Œxj1 ;xj 

or (with respect to the partition P [ Q) Mj .f C g/  Mj .f / C Mj .g/. Hence, S.f C gI P [ Q/ D

k X

Mj .f C g/.xj  xj1 /

jD1



k X

.Mj .f / C Mj .g//.xj  xj1 /

jD1

D S.f I P [ Q/ C S.gI P [ Q/  S.f I P/ C S.gI Q/: However, since infR S.f C gI R/  S.f C gI P [ Q/, the inequalities above give inf S.f C gI R/  S.f I P/ C S.gI Q/; R

for all partitions P, Q and R of Œa; b.

10.4 Operating with Integrable Functions

371

In the last inequality above, taking the infimum over all partitions P and Q of Œa; b and invoking Problem 13, page 207, again, we get inf S.f C gI R/  inffS.f I P/ C S.gI Q/I P; Q partitions of Œa; bg R

D inf S.f I P/ C inf S.gI Q/ P

Z

Q

Z

b

D

b

f .x/dx C

g.x/dx:

a

(10.25)

a

Arguing as we have done up to this moment, we successively get mj .f C g/  mj .f / C mj .g/, s.f C gI P [ Q/  s.f I P/ C s.gI Q/ and supR s.f C gI R/  s.f I P/ C s.gI Q/. Hence, by using Problem 13, page 207, yet another time, we obtain sup s.f C gI R/  sup s.f I P/ C sup s.gI Q/ R

P

Z

Q b

D

Z

b

f .x/dx C

g.x/dx:

a

(10.26)

a

Finally, since supR s.f C gI R/  infR S.f C gI R/, it follows from (10.25) and (10.26) that Z inf S.f C gI R/ D sup s.f C gI R/ D R

R

Thus, f C g is integrable, with

Z

b

f .x/dx C a

Rb a

b

g.x/dx: a

.f .x/ C g.x//dx D

Rb a

f .x/dx C

Rb a

g.x/dx.

t u

An obvious corollary of the previous proposition is that, if f ; g W Œa; b ! R are integrable functions, then f  g W Œa; b ! R is also integrable, with Z

Z

b a

Z

b

.f .x/  g.x//dx D

b

f .x/dx  a

g.x/dx:

(10.27)

a

Indeed, item (a) guarantees the integrability of f , whereas item (b) guarantees that of f  g D f C .g/. Relation (10.27) now follows from the formulas of items (a) and (b) of the previous proposition: Z

Z

b a

Z

b

.f .x/  g.x//dx D

b

f .x/dx C Z

a

.g.x//dx a

b

D

Z

f .x/dx C .1/ a

b

g.x/dx: a

If f W Œa; b ! R is a continuous function, the chain rule assures that jf j D j  j ı f W Œa; b ! R is also continuous; in particular, jf j is also integrable. In what follows,

372

10 Riemann’s Integral

we establish the integrability of jf j by supposing that f is only integrable. We also obtain a quite useful inequality relating the integrals of f and jf j, which is known as the triangle inequality for integrals. Proposition 10.14 If f W Œa; b ! R is an integrable function, then the function jf j W Œa; b ! R is also integrable, and the following inequality holds: ˇZ ˇ ˇ ˇ

b a

ˇ Z ˇ f .x/dxˇˇ 

b

jf .x/jdx:

(10.28)

a

Proof Let fC ; f W Œa; b ! Œ0; C1/ be given by fC .x/ D maxff .x/; 0g and f .x/ D  minff .x/; 0g: It is immediate to verify that f D fC  f and jf j D fC C f . Hence, if fC is integrable, then the discussion immediately subsequent to Proposition 10.13 guarantees that f D fC  f is also integrable; however, this being the case, item (b) of that proposition assures that the same holds for jf j D fC C f . Now, in order to prove (10.28), note first of all that the monotonicity of the Rb integral, together with the fact that f  0, gives a f .x/dx  0. In turn, by successively applying (10.27), this inequality and the formula of item (b) of the previous proposition we get Z

Z

b

Z

b

f .x/dx D a

b

fC .x/dx  a

Z

b



Z

b

fC .x/dx C

a

Z

f .x/dx a

f .x/dx

a b

D

.fC .x/dx C f .x//dx Z

a b

D

jf .x/jdx:

(10.29)

a

(For another proof of (10.28) we refer the reader to Problem 7.) Analogously, Z

Z

b

f .x/dx D

 a

Z

b

.f /.x/dx  a

Z

b

b

j.f /.x/jdx D a

jf .x/jdx; a

so that Z

Z

b a

which is equivalent to (10.28).

Z

b

jf .x/jdx 



b

f .x/dx  a

jf .x/jdx; a

10.4 Operating with Integrable Functions

373

We are left to showing the integrability of fC . To this end, let P D fa D x0 < x1 <    < xk D bg be a partition of Œa; b. If f .x/  0 for some x 2 Œxj1 ; xj , then Mj .fC / D Mj .f /; on the other hand, from fC  f we get mj .fC /  mj .f /, so that Mj .fC /  mj .fC /  Mj .f /  mj .f /: If f .x/ < 0 for all x 2 Œxj1 ; xj , then fC D 0 in Œxj1 ; xj  and, then, Mj .fC /  mj .fC / D 0  Mj .f /  mj .f /: In any case, we have Mj .fC /  mj .fC /  Mj .f /  mj .f /, so that S.fC I P/  s.fC I P/ D

k X

.Mj .fC /  mj .fC //.xj  xj1 /

jD1



k X .Mj .f /  mj .f //.xj  xj1 / jD1

D S.f I P/  s.f I P/: Now, since f is integrable, Cauchy’s criterion for integrability assures that, given  > 0, we can choose the partition P in such a way that S.f I P/  s.f I P/ < . However, this being the case, it follows from the last inequality above that S.fC I P/ s.fC I P/ < . Therefore, again by Cauchy’s criterion, we conclude that fC is integrable. t u Example 10.15 Given a function f W Œa; b ! R, it may well happen that jf j is integrable but f is not. The classical example is furnished by f W Œ0; 1 ! R such that  f .x/ D

1; if x … Q : 1; if x 2 Q

An argument analogous to that of Example 10.3 guarantees that f is not integrable. On the other hand, jf j is constantly equal to 1, hence integrable. The first and last inequalities in (10.29) make it clear the validity of the Rb triangle inequality for integrals: the first inequality guarantees that a f .x/dx can be computed as the difference between the areas of the regions RC and R of the cartesian plane, where RC is under the graph of f and above the horizontal axis, while R is above the graph of f and below the horizontal axis; on the other hand, Rb the last equality gives a jf .x/jdx as the sum of the areas of RC and R . Our next result guarantees that the integral is also additive with respect to the domains Œa; c and Œc; b of two integrable functions. By heuristically reasoning with a nonnegative function f W Œa; b ! R whose restrictions to the intervals Œa; c and Œc; b are both integrable, we conclude that this is quite a plausible result. Indeed,

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10 Riemann’s Integral

letting R, RjŒa;c and RjŒb;c denote the regions of the cartesian plane respectively under the graphs of f and of its restrictions to Œa; c and Œc; b, we have R D RjŒa;c [ RjŒb;c , such that RjŒa;c and RjŒb;c have no interior points in common; therefore, one expects that A.R/ D A.RjŒa;c / C A.RjŒb;c /. Proposition 10.16 Let a function f W Œa; b ! R and a real number c 2 .a; b/ be given. If the restrictions of f to the intervals Œa; c and Œc; b are both integrable, then f is also integrable, with Z b Z c Z b f .x/dx D f .x/dx C f .x/dx: a

a

c

Proof Let fjŒa;c and fjŒc;b denote the restrictions of f to the intervals Œa; c and Œc; b, respectively. Given  > 0, the integrabilities of fjŒa;c and fjŒc;b assure, by means of the Cauchy criterion, the existence of a partition P of Œa; c and Q of Œc; b such that S.fjŒa;c I P/  s.fjŒa;c I P/
: Therefore, jj < . Finally, since  > 0 was chosen arbitrarily, we conclude that  D 0. t u

10.4 Operating with Integrable Functions

375

The previous proposition shall let us present yet another class of examples of integrable functions. However, before we can do so, we need the following auxiliary result. Lemma 10.17 If f ; g W Œa; b ! R are such that f is integrable and f D g in .a; b/, Rb Rb then g is integrable and a f .x/dx D a g.x/dx. Proof Let’s consider the case in which f D g in Œa; b/, leaving the general case to the reader (cf. Problem 8). If P D fa D x0 < x1 <    < xk D bg is a partition of Œa; b, the coincidence of f and g in Œx0 ; xk1  furnishes k  ˇX ˇ ˇ ˇ inf f  inf g .xj  xj1 /ˇ js.f I P/  s.gI P/j D ˇ jD1

Œxj1 ;xj 

Œxj1 ;xj 

ˇ ˇ ˇ ˇ D ˇ inf f  inf g .xk  xk1 /ˇ Œxk1 ;xk 

Œxk1 ;xk 

 jf .b/  g.b/j .b  xk1 /I analogously, jS.f I P/  S.gI P/j  jf .b/  g.b/j.b  xk1 /: It follows from the computations above and the triangle inequality that S.gI P/  s.gI P/ D .S.gI P/  S.f I P// C .S.f I P/  s.f I P// C .s.f I P/  s.gI P//  jS.gI P/  S.f I P/j C .S.f I P/  s.f I P// C js.f I P/  s.gI P/j  2jf .b/  g.b/j.b  xk1 / C .S.f I P/  s.f I P//: Now, given  > 0, the integrability of f guarantees, by means of the Cauchy criterion, the existence of a partition P such that S.f I P/  s.f I P/ < 2 and (refining  P, if necessary) b  xk1 < 4.jf .b/g.b/jC1/ . With such a partition P, the computations above give S.gI P/  s.gI P/  2jf .b/  g.b/j.b  xk1 / C .S.f I P/  s.f I P//  2jf .b/  g.b/j 

  C < : 4.jf .b/  g.b/j C 1/ 2

Therefore, by resorting to the Cauchy criterion once more, we conclude that g is integrable.

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10 Riemann’s Integral

For the equality of the integrals of f and g, note that (again by the computations above) Z b f .x/dx  S.f I P/ D .S.f I P/  S.gI P// C S.gI P/ a

 jS.f I P/  S.gI P/j C S.gI P/  jf .b/  g.b/j.b  xk1 / C S.gI P/: Hence, Z b

Z

a

Z

b

f .x/dx 

b

g.x/dx  jf .b/  g.b/j.b  xk1 / C S.gI P/  a

g.x/dx: a

 Choosing the partition P in such a way that b  xk1 < 2.jf .b/g.b/jC1/ and Rb  S.gI P/  a g.x/dx < 2 (this last choice being possible thanks to the Cauchy criterion), we get

Z

Z

b a

Z

b

f .x/dx 

b

g.x/dx  jf .b/  g.b/j.b  xk1 / C S.gI P/  a

g.x/dx a

 jf .b/  g.b/j 

  C < : 2.jf .b/  g.b/j C 1/ 2

However, since  > 0 was chosen arbitrarily, it follows from the above that Z

b

Z

b

f .x/dx 

a

g.x/dx  0:

a

Finally, changing the roles of f and g in the reasoning above (which is perfectly valid, for we have already established the integrability of g), we get the opposite inequality between the integrals, thus showing that they are equal. t u We now need the coming Definition 10.18 A function f W Œa; b ! R is piecewise continuous if there exist real numbers a D x0 < x1 <    < xk D b such that f is continuous in the interval .xj1 ; xj /, for 1  j  k, and the lateral limits limx!aC f .x/, limx!b f .x/ and limx!xj ˙ f .x/ exist, for 1  j < k. Figure 10.4 sketches the graph of a piecewise continuous function f W Œa; b ! R, which is discontinuous in exactly three points. Proposition 10.19 If f W Œa; b ! R is piecewise continuous, then f is integrable, with Z

b a

f .x/dx D

k Z X jD1

xj xj1

f .x/dx:

(10.30)

10.4 Operating with Integrable Functions

377

Fig. 10.4 A piecewise continuous function f W Œa; b ! R

y

a

x1

x2

b

x

Proof If fj W Œxj1 ; xj  ! R is such that fj D f in .xj1 ; xj / and fj .xj1 / D limx!xj1 C f .x/, fj .xj / D limx!xj  f .x/, then fj is continuous, thus integrable. Now, Lemma 10.17 Rassures that theR restriction of f to the interval Œxj1 ; xj  is xj xj also integrable, with xj1 f .x/dx D xj1 fj .x/dx. Finally, by repeatedly applying Proposition 10.16, we conclude that f is integrable in Œa; b and that (10.30) is valid. t u For the coming example, the reader may find it useful to review the concept of characteristic function of a set, in Definition 10.11. Example 10.20 Let a D x0 < x1 <    < xk D b be a partition of the interval Œa; b, and f W Œa; b ! R be defined by f .x/ D

k X

cj XŒxj1 ;xj  ;

jD1

with cj 2 R for 1  j  k. Since f is clearly piecewise continuous, the previous proposition guarantees its integrability, with Z

b

f .x/dx D a

k Z X jD1

xj

f .x/dx:

xj1

On the other hand, Problem 2, page 357, gives Z

xj

Z f .x/dx D

xj1

xj

cj dx D cj .xj  xj1 /:

xj1

Therefore, by combining both inequalities above, we get Z

b a

f .x/dx D

k X jD1

cj .xj  xj1 /:

378

10 Riemann’s Integral

Our next result establishes the converse of Proposition 10.16 and will be of crucial importance for the actual computation of integrals, in the next section. Proposition 10.21 Let f W Œa; b ! R be integrable and a < c < b. Then, the restrictions of f to the intervals Œa; c and Œc; b (which, whenever no danger of confusion appears, will be denoted simply by f ) are also integrable, with Z

Z

b a

Z

c

f .x/dx D

f .x/dx C a

b

f .x/dx:

(10.31)

c

Proof It suffices to prove the integrability of the restrictions of f to Œa; c and Œc; b. Indeed, once we have done this, (10.31) will follow from Proposition 10.16. For what is left to do, given  > 0, Cauchy’s criterion assures the existence of a partition R of Œa; b such that S.f I R/  s.f I R/ < . Letting R0 D R [ fcg, it follows from Lemma 10.1 that S.f I R0 /  s.f I R0 /  S.f I R/  s.f I R/ < ; therefore, we can suppose from the very beginning that c 2 R. Let fjŒa;c denote the restriction of f to the interval Œa; c. If R D fa D x0 < x1 <    < xl D c <    < xk D bg and P D fa D x0 < x1 <    < xl D cg, then P is a partition of Œa; c, such that S.fjŒa;c I P/  s.fjŒa;c I P/ D

l X

.Mj .f /  mj .f //.xj  xj1 /

jD1



k X

.Mj .f /  mj .f //.xj  xj1 /

jD1

D S.f I R/  s.f I R/ < : Hence, again by Cauchy’s criterion, fjŒa;c is integrable. Analogously, the restriction of f to the interval Œc; b is integrable.

t u

The last result of this section shows that the product of two integrable functions is also integrable. Nevertheless, as Problem 10 shows, the value of the integral of the product of the functions cannot be computed from the values of the integrals of the factors. (However, see Problem 12.) Proposition 10.22 If f ; g W Œa; b ! R are integrable functions, then fg W Œa; b ! R is also integrable. Proof Suppose we have established the integrability of the square of an integrable function. Then, .f C g/2 , f 2 and g2 will be integrable, so that, since fg D 12 ..f C g/2  f 2  g2 /, several applications of Proposition 10.13, together with the remark right after it, guarantee the integrability of fg. Let’s then show that f 2 is integrable. To this end, note first that, since f is bounded, there exists a real constant c such that f C c  0 in Œa; b. Looking at c as a constant function in Œa; b and writing f 2 D .f C c/2  2cf  c2 , we conclude

10.4 Operating with Integrable Functions

379

(quite similarly as in the above reasoning) that f 2 is integrable if .f C c/2 has this property. It then suffices to show that, if f is integrable and nonnegative, then f 2 is also integrable. For what is left to do, assume f to be integrable and nonnegative, so that f 2 is surely bounded. Now, given a partition P D fa D x0 < x1 <    < xk D bg of Œa; b, it follows from Problem 14, page 207, that sup f 2 D . sup f /2 D Mj2

Œxj1 ;xj 

Œxj1 ;xj 

and, analogously, infŒxj1 ;xj  f 2 D m2j . Hence, S.f 2 I P/  s.f 2 I P/ D

k X .Mj2  m2j /.xj  xj1 / jD1

D

k X .Mj C mj /.Mj  mj /.xj  xj1 / jD1

 2 sup f  Œa;b

k X

.Mj  mj /.xj  xj1 /

jD1

D 2 sup f  .S.f I P/  s.f I P//: Œa;b

Let  > 0 be given. By invoking Cauchy’s criterion again, and thanks to the integrability of f , we can suppose that S.f I P/  s.f I P/ < 2.sup  f /C1 . Therefore, Œa;b the above computations give S.f 2 I P/  s.f 2 I P/ < 2.sup f /  Œa;b

 2.supŒa;b f / C 1

< :

Hence, once more from Cauchy’s criterion, f 2 is integrable.

t u

Problems: Section 10.4 1. Give an example of a differentiable function f W Œa; b ! R such that f 0 is not bounded (hence, not integrable). 2. Let f W Œa; b ! R be continuous, with a finite number of zeros in the interval Œa; b, say x1 < x2 <    < xk . If 2 RC f D f.x; y/ 2 R I a  x  b and 0  y  f .x/g

380

10 Riemann’s Integral

and 2 R f D f.x; y/ 2 R I a  x  b

and f .x/  y  0g;

prove that Z

b a

 f .x/dx D A.RC f /  A.Rf /:

For the next problem, given continuous functions f ; g W Œa; b ! R, such that f .x/  g.x/ for every x 2 Œa; b, let Rfg D f.x; y/ 2 R2 I a  x  b and f .x/  y  g.x/g be the portion of the cartesian plane situated between the graphs of f and g. Let the area of Rfg be defined by Z

b

A.Rfg / D

.g.x/  f .x//dx: a

3. Prove Cavalieri’s principle: for i D 1; 2, let fi ; gi W Œa; b ! R be continuous functions such that fi .x/  gi .x/ for every x 2 Œa; b. If, for every x 2 Œa; b, the length of the line segment joining .x; f1 .x// to .x; g1 .x// equals that of the line segment joining .x; f2 .x// to .x; g2 .x//, then A.Rf1 g1 / D A.Rf2 g2 /. 4. Let bc W R ! RRbe the integer part function (cf. Problem 9, page 152). Given n n 2 N, compute 0 bxcdx. 5. Let fg W R ! R be the fractional part function (cf. Problem 10, page 152). Given n 2 N, do the following items: R nC1 R1 (a) Show thatR n fxgdx D 0 fxgdx. n (b) Compute 0 fxgdx. 6. * Let f ; g W Œa; b ! R be continuous functions such that f .x/  g.x/ for every Rb Rb x 2 Œa; b. If a f .x/dx D a g.x/dx, prove that f D g. 7. Let f W Œa; b ! R be an integrable function. Assuming that jf j is also integrable, use the fact that jf .x/j  f .x/  jf .x/j for every x 2 Œa; b to deduce (10.28). 8. * Complete the proof of Lemma 10.17, by examining the case in which f D g in .a; b/. Rb Rb 9. Given 0P  a < b and n 2 N, compute a xn dx. Then compute a f .x/dx, where n f .x/ D jD0 aj xj , with a0 ; a1 ; : : : ; an 2 R and an ¤ 0. 10. Give examples of continuous and nonnegative functions f ; gI Œa; b ! R, such Rb Rb Rb that a f .x/dx > 0 and a g.x/dx > 0 but a f .x/g.x/dx D 0. 11. * Let f W Œa; b ! R be an integrable function. For 0 <  < ba , show that 2 Z lim

Z

b

!0 aC

b

f .x/dx D

f .x/dx: a

10.5 The Fundamental Theorem of Calculus

381

12. * Prove Cauchy’s inequality for integrals: if f ; g W Œa; b ! R are integrable functions, then ˇZ b ˇ Z b 1=2  Z b 1=2 ˇ ˇ f .x/g.x/dxˇ  f .x/2 dx g.x/2 dx : ˇ a

a

a

Moreover, if f and g are continuous, show that equality happens if and only if there exists  2 R such that f .x/ D g.x/ for every x 2 Œa; b. 13. * If f W Œa; b ! R is a continuous and convex function, prove that Z b 1 f .a/ C f .b/  f .x/dx: 2 ba a

10.5 The Fundamental Theorem of Calculus The main purpose of this section is to turn (10.11) into a theorem. Along all that follows, unless explicitly stated otherwise, we shall let I be an interval of the real line and f W I ! R be integrable in each interval Œa; b  I. For c 2 I and Œa; b  I, we set Z c Z a Z b f .x/dx D 0 and f .x/dx D  f .x/dx: c

b

a

With these conventions at hand, and applying the second part of Proposition 10.21, it is immediate to verify that Z b Z c Z b f .x/dx D f .x/dx C f .x/dx; (10.32) a

a

c

for every a; b; c 2 I (i.e., not only when a < b and c 2 .a; b/). This being said, the following definition will be of paramount importance for what is to come. Definition 10.23 Let I  R be an interval and f W I ! R be integrable in each interval Œa; b  I. For a fixed c 2 I, the indefinite integral of f based at c is the function F W I ! R, given by Z x F.x/ D f .t/dt: c

If f ; F W I ! R are as in the previous definition, (10.32) promptly gives Z a Z b Z b f .t/dt  f .t/dt D f .t/dt; (10.33) F.b/  F.a/ D c

for all a; b 2 I.

c

a

382

10 Riemann’s Integral

We can now state and prove the major result of this section, which is known in mathematical literature as the fundamental theorem of Calculus (FTC). Theorem 10.24 (FTC) Let I  R be an interval, let f W I ! R be integrable in each interval Œa; b  I and F W I ! R be the indefinite integral of f based at c 2 I. If f is continuous at x0 2 I, then F is differentiable at x0 , with F 0 .x0 / D f .x0 /. Proof For x 2 I n fx0 g and successively applying (10.33), Problem 2, page 357, the additivity of the integral and the triangle inequality for integrals, we get ˇ ˇ 1 Z x ˇ ˇ F.x/  F.x / ˇ ˇ ˇ 0 ˇ  f .x0 /ˇ D ˇ f .t/dt  f .x0 /ˇ ˇ x  x0 x  x0 x 0 Z ˇ 1 ˇˇ x ˇ .f .t/  f .x0 //dtˇ D ˇ jx  x0 j x0 Z ˇ 1 ˇˇ x ˇ  jf .t/  f .x0 /jdtˇ: ˇ jx  x0 j x0 (In the last inequality above, the modulus Rx R x outside the integral is due to the fact that, if x < x0 , then x0 jf .t/  f .x0 /jdt D  x 0 jf .t/  f .x0 /jdt.) The continuity of f at x0 guarantees that, given  > 0, there exists ı > 0 such that t 2 I; jt  x0 j < ı ) jf .t/  f .x0 /j < : Hence, for 0 < jx  x0 j < ı, we have jt  x0 j < ı for every t belonging to the interval with endpoints x0 and x, so that jf .t/  f .x0 /j < . It thus follows from the monotonicity of the integral, and once more from the result of Problem 2, page 357, that ˇ ˇZ x ˇ ˇZ x ˇ ˇ ˇ ˇ jf .t/  f .x0 /jdtˇ  ˇ  dtˇ D jx  x0 j: ˇ x0

x0

Finally, the above computations assure that, for x 2 I such that 0 < jx  x0 j < ı, we have ˇ F.x/  F.x / ˇ 1 0 ˇ ˇ  jx  x0 j D :  f .x0 /ˇ  ˇ x  x0 jx  x0 j Hence, F is differentiable at x0 , with F 0 .x0 / D f .x0 /.

t u

The FTC is the ingredient that was missing for us to get an easy way of computing integrals of various elementary functions. However, before we can actually do that, we need one more piece of terminology. Definition 10.25 Let I  R be an interval and f W I ! R be integrable in each interval Œa; b  I. A primitive for f in I is a differentiable function F W I ! R such that F 0 D f in I.

10.5 The Fundamental Theorem of Calculus

383

In terms of the previous definition, the FTC guarantees that each indefinite integral of a continuous function f W I ! R is a primitive of f in I. Indeed, letting F W I ! R be the indefinite integral of F based at c 2 I, it follows from the FTC and the continuity of f in I that F 0 .x/ D f .x/ for every x 2 I. Yet in another way, we have that: Z x d f continuous ) f .t/dt D f .x/: (10.34) dx c The coming result assures that, even for functions which are merely integrable, there are no other possible primitives. In other words, it guarantees that, even if f is just an integrable function, there are no other possible solutions for (10.37). Theorem 10.26 Let I  R be an interval and f W I ! R be integrable in each interval Œa; b  I. If F W I ! R is a primitive for f , then, for a given x0 2 I, we have Z x F.x/ D F.x0 / C f .t/dt (10.35) x0

for every x 2 I. Proof Suppose x > x0 (the case x D x0 is trivial and R x the case x R 0, is less that 1 for a sufficiently large n.

390

10 Riemann’s Integral

We now have enough clues to search for f , and a moment’s thought shows f .x/ D

1 n x .1  x/n nŠ

to be a strong candidate. Indeed, for such an f we obviously have jf .x/j  1 for 0  x  1, so that it suffices to check that f .j/ .0/; f .j/ .1/ 2 Z for every j 2 ZC . What is left to do is this is relatively easy. First of all, it follows from the binomial formula that 2n

f .x/ D

1 X k ak x ; nŠ kDn

with ak 2 Z for n  k  2n. Therefore, if 0  j  n or j > 2n, we obviously have f .j/ .0/ D 0 and f .j/ .1/ D 0. On the other hand, if n < j  2n, then f .j/ .x/ D

D

2n

1 X k.k  1/ : : : .k  j C 1/ak xkj nŠ kDj 2n X kŠ jŠ  ak xkj nŠ .k  j/ŠjŠ kDj

! k D j.j  1/ : : : .n C 1/ ak xkj ; j kDj 2n X

so that f .j/ .0/ and f .j/ .1/ also belong to Z.

t u

Problems: Section 10.5 1. In each of the items below, compute the given integral: R 2 (a) 0 .1  cos t/2 dt. R 2 p (b) 0 1  cos t dt. R1 (c) 0 x sin.x/dx. 2. In the two items below, compute the primitives: R (a) R .sin x/3 cos x dx. (b) x2 sin x dx. 3. Given m; n 2 N, show that Z

2 0

Z sin.mx/ sin.nx/dx D 0

2

 cos.mx/ cos.nx/dx D

0; if m ¤ n : ; if m D n

10.5 The Fundamental Theorem of Calculus

391

4. In each of the following items, solve the indicated initial value problem in the largest possible interval I  R:  (a)



p y0 D x . y.1/ D 2

(b)

y0 D sec2 x . y. 6 / D 1

5. * Let g; h W Œc; d ! R be differentiable functions and f W Œa; b ! R be continuous. Show that d dx

Z

h.x/

f .t/dt D f .h.x//h0 .x/  f .g.x//g0 .x/:

g.x/

6. * Let f W R ! R be a continuous and periodic function, with period p > 0. R aCp Rp Prove that a f .t/dt D 0 f .t/dt for every a 2 R. 7. Let f W Œa; b ! R be the restriction of an affine function to the interval Œa; b. If f is nonnegative, the region Rf is either a right triangle or a right trapezoid. Show that, in each of these cases, the value for the area of Rf obtained with the aid of the FTC coincides with the one obtained by means of the ordinary formulas of Euclidean Geometry for the areas of these polygons (cf. [4], for instance). 8. Let f W .a; b/ ! R be continuous, nonnegative and increasing (resp. decreasing). Prove that every primitive of f is strictly convex (resp. strictly concave). n P 1 9. Given n 2 N, compute nkD0 .kC1/.kC2/ k in terms of n. 10. Prove the mean value theorem for integrals: given a continuous function f W Œa; b ! R, there exists c 2 Œa; b such that 1 ba

Z

b

f .x/dx D f .c/: a

11. Let f W Œa; b ! R be a continuously differentiable function, with f .a/ D f .b/ D 0. Prove that Z

b

2

f .x/ dx

a

2

4

Z

b

2

2

x f .x/ dx

a

 Z

b

f 0 .x/2 dx :

a

12. (Romania) Let F be the set of continuous functions f W Œ0;  ! R such that Z

 0

Z f .x/ sin xdx D

 0

f .x/ cos xdx D 1:

R Compute inff 2F 0 f .x/2 dx. R =2 13. * Let n 2 ZC and In D 0 .cos x/n dx. The purpose of this problem is to show I that limn!C1 nC1 In D 1. To this end, do the following items:

392

10 Riemann’s Integral

(a) Show that InC1  In for every integer n  0. (b) Use 10.35 to conclude that each of the sequences  item (a) of Example I2k1 I2k and is nondecreasing. I2k2 I2k1 k1

k1

(c) Conclude that both sequences of the previous item converge to limits `0 and `1 , say, such that `0 ; `1 > 0.  1 I In n . Then, let n D 2k ! C1 to get `0 `1 D 1. (d) Show that nC1 In D nC1 In1 (e) Conclude that `0 D `1 D 1 and, then, that limn!C1

InC1 In

D 1.

10.6 The Change of Variables Formula Continuing with the development of the theory, we shall now discuss the change of variables formula. As the subsequent discussion will make it evident, such a formula will provide another useful integration technique. Theorem 10.37 Let f W Œa; b ! R be continuous. If g W Œc; d ! Œa; b is differentiable and g0 is integrable, then Z d Z g.d/ f .t/dt D f .g.s//g0 .s/ds: (10.44) g.c/

c

Proof In order to compute the integral at the left hand side, we start by taking a primitive F W Œa; b ! R for f , whose existence follows from the FTC. Then, thanks to Corollary 10.27, we get Z

Z

g.d/

g.d/

f .t/dt D g.c/

ˇxDg.d/ ˇ F 0 .t/dt D F.x/ˇ xDg.c/

g.c/

ˇsDd ˇ D F.g.d//  F.g.c// D .F ı g/.s/ˇ : sDc

Now, since F and g are differentiable, the chain rule guarantees that the function F ı g W Œc; d ! R is also differentiable, with .F ı g/0 .s/ D F 0 .g.s//g0 .s/ D f .g.s//g0 .s/ D .f ı g/.s/g0 .s/: On the other hand, since f and g are continuous, we have f ı g continuous, thus, integrable; however, since g0 is integrable, it follows from Proposition 10.22 that .f ı g/g0 integrable. Hence, applying Corollary 10.27 once more, we have Z ˇsDd Z d ˇ 0 .F ı g/.s/ˇ D .F ı g/ .s/ds D sDc

c

d

f .g.s//g0 .s/ds:

c

t u

10.6 The Change of Variables Formula

393

Remark 10.38 For a variant of the previous result, applicable to the case of a piecewise continuous f , see Problem 6. The corollary below isolates a simple, yet quite useful, particular case of the change of variables formula. Corollary 10.39 If f W Œa; b ! R is continuous and  2 R , then Z b Z 1 b f .s/ ds D f .t/ dt:  a a

(10.45)

Proof For  > 0 it suffices to let g W Œa; b ! Œa; b be given by g.s/ D s in Theorem 10.37. Indeed, with such a choice we get Z b Z g.b/ Z b Z b f .t/ dt D f .t/ dt D f .g.s//g0 .s/ ds D f .s/ ds: a

g.a/

a

a

For  < 0, let g W Œa; b ! Œb; a be given by g.s/ D s. Then, arguing as in Ra Rb R a R b the previous case and recalling that b D  a and b D  a , we obtain Z a Z g.a/ Z b f .t/ dt D  f .t/ dt D  f .t/ dt a

b

Z D

a

g.b/

f .g.s//g0 .s/ ds D

Z

b

b

f .s/ ds: a

t u We shall sometimes refer to (10.44) as the formula for integration by substitution. In what follows, we give some heuristics on such an expression. Rb Given a continuous function f W Œa; b ! R, in order to compute a f .t/dt with the aid of the FTC we need to obtain a primitive for F. In this sense, and after a careful examination of the expression of f .t/, we may eventually notice that it will be quite simplified if we perform an adequate substitution of variables, changing t by an expression g.s/, depending on a new variable s. However, since f is defined in the interval Œa; b, for such a substitution to make sense it is necessary that g.s/ belongs to the interval Œa; b when s varies in some interval Œc; d. In general, the best way of identifying such an interval Œc; d is solving inequalities a  g.s/  b, thus finding the appropriate values of c and d. Then, by formally differentiating the equality t D g.s/, we get dt D g0 .s/ ds, so that the original integral must be corrected by the factor g0 .s/ before it can be transformed into a new integral. In short, the execution of both passages described below give us the formula for integration by substitution in any particular case we encounter: Z a

b

substitting

tDg.s/

f .t/ dt HHHHH

Z ‹

‹

solving

0

ag.s/b

Z

d

f .g.s//g .s/ ds HHHHHHH c

f .g.s//g0 .s/ ds:

394

10 Riemann’s Integral

Finally, we observe that for the last integral above to make sense, the function s 7! f .g.s//g0 .s/ must be integrable. Hence (as we saw in the proof of the theorem) it is natural to suppose that g is differentiable and g0 is integrable in Œc; d. Let’s give a concrete example, showing how the informal discussion of the two previous paragraphs simplifies the use of the change of variables formula in the actual computation of integrals. R 2p Example 10.40 Compute p t sin.t2 / dt. p Solution Performing the substitution t D s, we get Z ‹ Z 2p Z p 1 1 ‹ 2 t sin.t / dt D s.sin s/ sin s ds; ds D p p 2 ‹ 2 s  ‹ where the correction factor p 1 t D s, to get dt D 2p ds. s

1 p 2 s

was obtained by formally differentiating equality

p p the integration interval Œ ; 2 , we solve the inequalities p In order p p to correct   s  2 , thus getting   s  4. Hence, Z 2p Z ˇsD4 1 4 1 ˇ 2 . cos s/ t sin.t / dt D sin s ds D D 1; ˇ p sD 2  2  t u

where we used the FTC in the last equality.

Also with respect to the previous example (and in accordance to Theorem 10.37), note that all of the performed are valid. Indeed, p substitutions p p what we really did was to use g W Œ; 4 ! Œ ; 2  such that g.s/ D s, and such a function is 1 differentiable, with g0 .s/ D 2p integrable in the interval Œ; 4. s Example 10.41 Given n 2 ZC , compute

R =2

.sin x/n dx. R =2 Solution In Example 10.35, we computed In D 0 .cos x/n dx. Here, we shall use R =2 integration by substitution to show that In D 0 .sin x/n dx too. To this end, start by recalling that cos x D sin. 2  x/. Therefore, letting x D 2  y (so that dx D dy), we get Z =2 Z ‹ Z ‹ n n .sin x/ dx D .sin.=2  y// .1/dy D  .cos y/n dy: 0

0

‹

‹

The correct endpoints of the last integral can be easily found once we note that 0  2  y  2 if and only if 0  y  2 . Nevertheless, one has to be careful, for, x D 0 ) y D 2 and x D 2 ) y D 0. Hence, we get Z =2 Z 0 Z =2 n n .sin x/ dx D  .cos y/ dy D .cos y/n dy D In : 0

=2

0

t u

10.6 The Change of Variables Formula

395

From a more formal viewpoint, the last substitution above reduces to using g W Œ0; 2  ! Œ0; 2  such that g.x/ D 2  x. Since g.0/ D 2 , g. 2 / D 0 and g0 .x/ D x, we have Z

=2 0

Z .sin x/n dx D

Z

g.0/

g. 2 /

Z

D

0  2

.sin x/n dx D

0  2

.sin g.x//n g0 .x/dx Z

.sin.=2  x// dx D

 2

n

0

.cos x/n dx:

One of the most important usages of integration by substitution is related to trigonometric substitution. To get to the point, suppose we have a continuous R1 function f W Œ1; 1 ! R and wish to compute 1 f .x/dx. Then, recalling that the restriction of the sine function to the interval Œ 2 ; 2  is differentiable, has integrable derivative and satisfies sin. 2 / D 1 and sin 2 D 1, it follows from (10.44) (with g.t/ D sin t) that Z

1 1

Z f .x/dx D

sin

 2

sin. 2 /

Z f .x/ dx D

 2

 2

f .sin t/ cos t dt:

Depending on the algebraic expression that defines f .x/ in terms of x, the last integral above may be much simpler to compute that the original one. Although the discussion on the previous paragraph has a number of useful variations (depending on the more adequate trigonometric function to be used), we shall not try to list them all. Instead, we collect two relevant examples of trigonometric substitutions. R1 1 Example 10.42 Compute 0 1Cx 2 dx. Proof Recalling, from Example 9.35, that to get Z

1 0

d dx

arctan x D

1 , 1Cx2

we may use the FTC

ˇxD1 1  ˇ dx D arctan x D arctan 1 D : ˇ 2 xD0 1Cx 4

Alternatively, by performing the trigonometric substitution x D tan t and noticing that 0  x  1 , 0  t  4 , we get, from the formula for integration by substitution and Example 9.34, Z

1 0

1 dx D 1 C x2

Z Z

 4

0  4

D 0

1  tan0 t dt D 1 C tan2 t ˇtD   ˇ 4 1 dt D tˇ D : tD0 4

Z

 4

0

1  sec2 t dt sec2 t

t u

396

10 Riemann’s Integral

Example 10.43 Let be the circle with center O and radius R, and choose a cartesian p coordinate system such that O.0; 0/. If f W ŒR; R ! R is given by f .x/ D R2  x2 , then the region Rf under the graph of f (and above the horizontal axis is the half-disk bounded by and lying in the upper half-plane. Then, Z A.Rf / D

R

R

Z f .x/dx D

R

p R2  x2 dx:

R

The trigonometric substitution x D R cos t, with 0  t  , gives Z A.Rf / D Z

0

p R2  R2 cos2 t.R sin t/dt

 

D

R2 sin2 tdt D

0

R2 ; 2

where we used the result of Example 10.29 in the last equality. A similar reasoning proves that the area of the half-disk bounded by and lying 2 in the lower half-plane also equals R2 . Hence, the area of the whole disk equals 2 2  R2 D R2 , as the reader surely predicted from earlier studies of Euclidean Geometry. Remark 10.44 As was pointed out in Remark 9.12, in Chap. 11 the sine and cosine functions will be constructed without relying in any concepts or results of Euclidean Geometry. In turn, this will allow us to compute the derivatives of the sine and cosine functions also without reference to Euclidean Geometry. Once this has been done, the previous example will provide us with a genuine way of computing the area of a circle with radius R. Back to the general discussion of integration by substitution, let intervals I and J and functions g W I ! J and f W J ! R be given, such that f is continuous and g is continuously differentiable. It’s immediate to verify that (10.44) furnishes the following equality of primitives: Z



Z

f .t/dt .g.x// D

f .g.x//g0 .x/dx C C;

(10.46)

where C is a real constant. We now examine a specific relevant case. Example 10.45 Let I be an interval, f W I ! .0; C1/ be a continuously differentiable function and r be a nonzero rational number. Since d f .x/r D rf .x/r1 f 0 .x/; dx we see that 1r f .x/r is a primitive for the function x 7! f .x/r1 f 0 .x/.

10.6 The Change of Variables Formula

In other words, we have Z

397

f .x/r1 f 0 .x/dx D

1 f .x/r C C; r

(10.47)

an equality that can be easily remembered from (10.46), with f in place of g and x 7! xr1 in place of f : on the one hand, the FTC gives us Z

f .x/

tr1 dt D

tr ˇˇf .x/ 1 ˇ C C D f .x/r C CI r r

on the other, the variable substitution t D f .x/ gives Z

Z

f .x/

t

r1

dt D

f .x/r1 f 0 .x/dx:

We conclude this section by observing that, apart from the problems collected below, we shall see some other relevant examples of integration by trigonometric substitution in the coming sections.

Problems: Section 10.6 1. In each of the items below, compute the given integral: R1 1 dx. (a) 0 pxC1 R 1=2 x (b) 0 p 2 dx. 1x R p2 x (c) 1 1Cx 4 dx. 2. In each of the items below, compute the given primitives, together with their maximal domains of definition: R p (a) x2 p1 C x3 dx. R (b) x5 p1 C x3 dx. R (c) R x3 p 1  x2 dx. (d) cos x dx. 3. Let f W Œa; a ! R be a continuous function. Show that: Z

a a

4. Compute

R1

sin.x/ 1 1Cx2

f .x/dx D

dx and

R

1 2

 12

 Ra 2 0 f .x/dx; if f is even : 0; if f is odd:

cos.x/ 1Cx3

dx.

398

10 Riemann’s Integral

For the coming example the reader might find it useful to review the basics on ellipses, in Chap. 6 of [4], for instance. 5. Prove that the area of an ellipse of principal axes of lengths 2a and 2b equals ab. 6. Prove the following version of Theorem 10.37: if f W Œa; b ! R is piecewise continuous and g W Œc; d ! Œa; b is increasing (resp. decreasing) and differentiable, with integrable derivative, then Z

g.d/

Z

d

f .t/dt D

g.c/

f .g.s//g0 .s/ds:

c

7. If f W Œa; b ! Œa; b is an increasing and differentiable bijection, compute all Rb possible values of a .f .x/ C f 1 .x//dx. For the next problem, the reader may find it convenient to review the concept of reciprocal polynomial, in Problem 28, page 44. 8. Let p be a polynomial of degree n. Show that p is reciprocal if and only if Z

x 1

Z

p.t/

t

dt D n=2C1

1

p.t/

1=x

tn=2C1

dt;

for every real x > 1. 9. Let f W Œ1; C1/ ! R be a differentiable function such that f .1/ D 1 and f 0 .x/ D 1 , for every x  1. Prove that limx!C1 f .x/ does exist and is at most 1C 4 . x2 Cf .x/2 10. Let I  R be an interval and g W I ! I be a continuously differentiable function of finite order, i.e., such that g.m/ D IdI for some m 2 N, where g.m/ D g ı : : : ı g, the composition of g with itself m times. If x 2 I and f W I ! R is a continuous function semi-invariant over g, in the sense that .f ı g/g0 D f , compute the R g.x/ possible values of x f .t/dt.

10.7 Logarithms and Exponentials This section brings a fairly standard presentation of the main properties of two of the most important functions of Mathematics, namely, the natural logarithm and the exponential functions, postponing to the next section some interesting and important applications of them. Definition 10.46 The natural logarithm function log W .0; C1/ ! R is defined by Z

x

log x D 1

1 dt: t

10.7 Logarithms and Exponentials

399

y y=

1 t

y=t

O

x

1

t

Fig. 10.5 Definition of log x for x > 1

It readily follows from the above definition that log 1 D 0, log x > 0 if x > 1 and log x < 0 if 0 < x < 1. Moreover, letting f W .0; C1/ ! R denote the inverse proportionality function, so that f .x/ D 1x for every x > 0, then, in terms of the area of the region of the first quadrant situated under the graph of f (cf. Fig. 10.5), we have 8 < A.fjŒ1;x /; if x > 1 log x D 0; if x D 1 : : A.fjŒx;1 /; if x < 1 The FTC assures that log is a differentiable function, with log0 x D

1 : x

Therefore, log is infinitely differentiable and, since log0 > 0, the study of the first variation of functions shows that log is increasing. Also, since log00 x D 

1 < 0; x2

it follows from Corollary 9.70 that log is strictly concave. The coming result and their corollaries bring more important properties of the natural logarithm. Proposition 10.47 For x; y > 0, we have log.xy/ D log x C log y:

(10.48)

400

10 Riemann’s Integral

Proof For the first part, the additivity of the integral gives Z x Z xy Z xy Z xy 1 1 1 1 dt D dt C dt D log x C dt: log xy D t t t 1 1 t x x Now, if g W Œ1; y ! Œx; xy is given by g.t/ D xt, the change of variables Theorem 10.37 furnishes Z g.y/ Z y Z xy Z y 1 1 1 1 0 dt D dt D  g .s/ds D  xds t t g.s/ xs x g.1/ 1 1 Z y 1 D  ds D log y: 1 s t u Corollary 10.48 For x > 0 and r 2 Q, we have log xr D r log x. Proof Applying (10.48) with y D x we get log x2 D 2 log x. If we assume that log xk D k log x for every x > 0 and some k 2 N, then letting y D xk in (10.48) we get log xkC1 D log.x  xk / D log x C log xk D log x C k log x D .k C 1/ log x: Therefore, it follows by induction that log xn D n log x for every x > 0 and every n 2 N. We now apply this particular case with x1=n in place of x to obtain log x D log.x1=n /n D n log x1=n or, which is the same, log x1=n D 1n log x. In view of the particular cases of the two previous paragraphs and letting r D with m; n 2 N, we have log xr D log xm=n D log.x1=n /m D m log x1=n D m 

m , n

1 log x D r log x: n

In order to extend this last equality for negative rational exponents, start by letting y D x1 in (10.48) to get 0 D log 1 D log.x  x1 / D log x C log x1 ; so that log x1 D  log x. Therefore, if r is a negative rational and s D r > 0, we get log xr D log.xs /1 D  log xs D .s  log x/ D r log x: t u

10.7 Logarithms and Exponentials

401

Corollary 10.49 limx!0C log x D 1 and limx!C1 log x D C1. In particular, Im .log/ D R. Proof Fix a > 1. Since log a > 0, it follows from the previous corollary that n

n

log an D n log a ! C1 and log an D n log a ! 1: On the other hand, since 0
n t 1C 1 1

1 n

dt D

1 1 n  D : nC1 n nC1

Hence,   1 1 1 < log 1 C < ; nC1 n n

(10.49)

Fig. 10.6 Estimating  log 1 C 1n

1

n n+1

1

1+

1 n

402

10 Riemann’s Integral

  n so that nC1 < n log 1 C 1n < 1. The squeezing theorem (Problem 6, page 218)   then gives limn!C1 n log 1 C 1n D 1 or, which is the same,   1 n lim log 1 C D 1: n!C1 n  n Now, since (according to Theorem 7.42) e D limn!C1 1 C 1n and log is continuous, we have     1 n 1 n log e D log lim 1 C D lim log 1 C D 1: n!C1 n!C1 n n t u Gathering together the information obtained so far on the natural logarithm, we sketch its graph on Fig. 10.7. The sketch above of the graph of the logarithm function suggests that it grows relatively slowly. The next result quantifies this suspicion. Theorem 10.51 For an integer n > 1, we have limx!C1 1

Proof Firstly, observe that t > t1 2n for t > 1. Hence,

1 t

log x p n x


1, Z

x

log x D 1

D

1 2n

1 dt < t

t 1=2n

Z

x

1 1 1 2n

Z dt D

x

D 0. 1

1

t1 2n

for t > 1, so that,

1

t 2n 1 dt

1 t 1 ˇtDx p p ˇ D 2n. 2n x  1/ < 2n 2n x: ˇ tD1

y y=x log 1

O

1

Fig. 10.7 Graph of log W .0; C1/ ! R

e

x

10.7 Logarithms and Exponentials

403

Therefore, for x > 1 we have p 2n log x x 2n 0< p < 2n  D p : p n n 2n x x x Now, since limx!C1 guarantees that

log x p n x

2n p

2n

x

D 0, the squeezing theorem (cf. Problem 6, page 218)

! 0 when x ! C1.

t u

Since the natural logarithm function log W .0; C1/ ! R is a continuous and increasing bijection, we can consider its inverse exp W R ! .0; C1/;

(10.50)

called the exponential function. Theorem 8.35 and Problem 8, page 176, guarantee that exp is also a continuous and increasing bijection. Moreover, for given x; y 2 R, with x > 0, we have log x D y , x D exp.y/I in particular, it follows from log 1 D 0 and log e D 1 that exp.0/ D 1 and exp.1/ D e. On the other hand, since log0 x D 1x ¤ 0, Theorem 9.28 assures that exp is a differentiable function such that, for x > 0 and y D log x, exp0 .y/ D

1 1 D D x D exp.y/: log0 x 1=x

In short, exp0 D exp; which in particular shows that exp is infinitely differentiable. Also, since exp00 D exp > 0, it follows from Corollary 9.70 that exp is a strictly convex function. The coming result translates, for the exponential function, the properties of the natural logarithm expressed in Proposition 10.47 and Corollary 10.48. Proposition 10.52 For x; y 2 R, we have: (a) exp.x C y/ D exp.x/  exp.y/. (b) exp.r/ D er , if r 2 Q. Proof (a) Letting a D exp.x/ and b D exp.y/, we have a; b > 0 and log a D x, log b D y. Hence, x C y D log a C log b D log.ab/;

404

10 Riemann’s Integral

so that exp.x C y/ D ab. The above computations also give exp.x/  exp.y/ D ab D exp.x C y/: (b) Since log and exp are inverses of each other and log e D 1, it follows from Proposition 10.47 that log exp.r/ D r D log er : Thus, the injectivity of log gives exp.r/ D er . t u Thanks to the item (b) of the former proposition, from now on we shall write exp.x/ D ex ; stressing that the right hand side coincides with the usual meaning of ex when x 2 Q, and defines ex when x … Q. In this new notation, item (a) of the previous result is written as exCy D ex  ey ; for all x; y 2 R. More generally, the exponential function allows us to rigorously define what is meant by the power ax , for positive a (and real x). Indeed, in the notation just introduced, we set ax D ex log a ;

(10.51)

so that axCy D e.xCy/ log a D ex log a  ey log a D ax  ay and log ax D log.ex log a / D x log a for all x; y 2 R. Notice that if r 2 Q, say r D

m n,

with m 2 Z and n 2 N, Corollary 10.48 gives

ar D e n log a D elog m

(10.52)

p n

am

D

p n

am I

in other words, for x D r 2 Q definition (10.51) matches with the meaning we have attributed to ar up to now. In particular, we have a0 D 1 and a1 D a.

10.7 Logarithms and Exponentials

405

If a D 1, it follows from (10.51) that ax D 1 for every x 2 R. On the other hand, given a positive real a ¤ 1, the exponential function of basis a is fa W R ! .0; C1/ such that fa .x/ D ax . Relation (10.51), together with the properties of the exponential function (of basis e) and the chain rule, guarantee that fa is a differentiable bijection, with derivative fa0 .x/ D expx log a  log a D ax log a:

(10.53)

In particular, since log a > 0 , a > 1, we get fa is increasing , fa0 > 0 , a > 1I accordingly, fa is decreasing if and only if 0 < a < 1. The inverse of fa is defined to be the function loga W .0; C1/ ! R, which is called the base a logarithm function, whose properties will be the object of Problem 1. Thus, the natural logarithm function is just the base e logarithm function. An important variant of the above discussion is the following: given an interval I and functions f W I ! .0; C1/ and g W I ! R, we define f .x/g.x/ by letting f .x/g.x/ D eg.x/ log f .x/ : Observe that the requisite of f .x/ being positive gives sense to this definition. Also, the chain rule applied to the right hand side of the equality above assures that the function x 2 I 7! f .x/g.x/ is differentiable whenever f and g are so. In this respect, see Problem 9. We can now state and prove a useful extension of Theorem 10.50.  x Theorem 10.53 e D limx!C1 1 C 1x . Proof A reasoning analogous to that in the proof of Theorem 10.50 gives, for x > 0,   1 1 1 < log 1 C < : xC1 x x  x It thus follows from (10.52) that log 1 C 1x D x log.1 C 1x /. Multiplying both inequalities above by x > 0, we get   1 x x < log 1 C < 1; xC1 x so that the squeezing theorem yields   1 x lim log 1 C D 1: x!C1 x

(10.54)

406

10 Riemann’s Integral

Finally, since the exponential function is continuous, we can write    1 x e D exp lim log 1 C x!C1 x    1 x D lim exp log 1 C x!C1 x x  1 D lim 1 C : x!C1 x t u We now use Theorem 10.51 to show that the exponential function increases more rapidly than any polynomial when x ! C1. Theorem 10.54 If p is a polynomial, then limx!C1 Proof Let p.x/ D am x C am1 x m

m1

p.x/ ex

D 0.

C    C a1 x C a0 , with am ¤ 0. Since

X xk p.x/ D ak  x ; x e e kD0 m

it suffices to show that limx!C1 we have x D log y and, then,

xn ex

D 0 for every n 2 N. To this end, letting y D ex

xn .log y/n D D ex y



log y p n y

n :

Finally, since y ! C1 when x ! C1, Theorem 10.51 gives     log y n xn log y n D lim D 0: lim x D lim p p n y x!C1 e y!C1 y!C1 n y t u We close this section by deriving asymptotic estimates on the size of log n and nŠ. In other words, we estimate the sizes of log n and nŠ for large values of n. Our first result is due to Euler.4 Theorem 10.55 (Euler)

Given n 2 N, we have lim

n!C1

n X 1 kD1

k

!

 log n D ;

(10.55)

where  is a positive real constant. 4

The Swiss mathematician Leonhard Euler is one of the most prolific mathematicians of all times, even if we stick only to relevant Mathematics. His contributions impressively vary from Geometry to Combinatorics, passing through Number Theory, Calculus and Physics. In each of these areas of knowledge there is at least one, if not several, celebrated Euler’s theorem.

10.7 Logarithms and Exponentials

407

Proof First of all, observe that 0
0: 2

On the other hand, by successively applying the results of Problems 4 and 20, we get  Z kC1    1 1  .k C1/ log.k C1/Ck log k C1 > 0: log k C log x dx D log k C 2 2 k Therefore,   log k C log.k C 1/ 1 ak < log k C  2 2     2 k C 12 1 1 1 D log 1 C D log 2 k.k C 1/ 2 4k.k C 1/   1 1 1 1 1 <  D  ; 2 4k.k C 1/ 8 k kC1 where we used the result of Problem 5 in the last inequality above.

410

10 Riemann’s Integral

We conclude that

P k1 n1 X

ak is a series of positive terms, such that ak
0 be such that 1 D log c. Since

P

k1 ak



p  nn en n lim log D log c; n!C1 nŠ 

we have p  nn en n c De D exp lim log n!C1 nŠ  n n p  n n e D lim exp log n!C1 nŠ  n n p  ne n D lim : n!C1 nŠ 



log c

p It follows from (10.58) (with an D nn en n, bn D nŠ and ˛ D 1c ) that  nŠ D

 p 1 C o.1/ nn en n: c

Now recall that, according to Example 10.35, if In D I2k D

R =2 0

.cos x/n dx for n 2 N, then

.2k/Š  .2k kŠ/2 and I  D 2k1 .2k kŠ/2 2 2k.2k/Š

for every integer k  1. Hence,

10.7 Logarithms and Exponentials

I2k I2k1

411

..2k/Š/2 2k   24k .kŠ/4 2 h p i2  1 2k 2k 2k 2k  c C o.1/ .2k/ e D h p i4  2  24k 1c C o.1/ kk ek k

D

D 1 c

2

k

C o.1/

2 2 ! 2c :

k

I2k However, Problem 13, page 391 showed that I2k1 ! 1. Therefore, the above 2 t u computations give 2c D 1 or, which is the same, c D p1 . 2   Example 10.57 For n 2 N, the binomial number 2n is the largest of the 2n C 1 n coefficients of the binomial expansion of .x C y/2n . This gives

! ! 2n X 2n 2n .2n C 1/ > D 22n ; n k kD0   22n > 2nC1 so that 2n . Stirling’s formula considerably improves this estimate, for, with n the aid of it, we get  2n p ! 2  2n 2ne 2n 22n .2n/Š  D p : D  2n p 2 .nŠ/2 n n 2n ne

Problems: Section 10.7 1. * Given 0 < a ¤ 1, prove that loga is an infinitely differentiable bijection, with loga x D

log x log a

and

log0a x D

1 ; x log a

(10.60)

for all 0 < a; x ¤ 1. Moreover, given positive reals a, b, c, x and y, with a; b; c ¤ 1, prove also that: (a) (b) (c) (d) (e)

log D loge . loga is increasing if a > 1 and decreasing if 0 < a < 1. loga .xy/ D loga x C loga y. loga c D logb c  loga b. loga b  logb c  logc a D 1.

412

10 Riemann’s Integral

2. 3. 4. 5. 6.

Which of e or  e is bigger? Justify your answer! Find all a; bR2 N such that a ¤ b and ab D ba . Justify your answer! * Compute log x dx D x log x  x C C. * Show that log.x C 1/ < x for every x > 0. Use Corollary 10.48, together with the result of Problem 8, page 338, to give another proof of the fact that log is strictly concave. Find all negative values of a such that f W R ! R, given by f .x/ D ex C ax3 , has a single inflection point. * Let ˛ ¤ 0 be a real number and f W .0; C1/ ! R be the function given by f .x/ D x˛ . Show that f 0 .x/ D ˛x˛1 for every x > 0. Given an interval I and differentiable functions f W I ! .0; C1/ and g W I ! R, compute the derivative of the function h W I ! R defined by h.x/ D f .x/g.x/ , for every x 2 I. Given a; b > 0, let f W Œ0; 1 ! R be defined by f .x/ D xa .1  x/b . Show that f attains a maximum value and compute it. The set of rationals is not closed with respect to powers; for instance, if a D b D 12 , then a; b 2 Q, albeit ab D p1 , an irrational number. If a and b are

7. 8. 9.

10. 11.

2

12. 13. 14. 15.

positive irrationals, is it always true that abis irrational? Justify your answer. x If a is a positive real, prove that limx!C1 1 C ax D ea .  x Find all positive values of a for which limx!C1 xCa D e. xa Let f W R ! R be a differentiable function such that f .0/ D 0 and f 0 .x/ > f .x/ for every x 2 R. Show that f .x/ > 0 for every x > 0. * The purpose of this problem is to compute primitives for the function t 7! sec3 t, where sec denotes the restriction of the secant function to an interval  of the form  2 C k; 2 C k , with k 2 Z. To this end, do the following items: (a) Show that sec0 Rt D tan t  sec t and dtd log j sec t  tan tj D  sec t. (b) Conclude that sec t dt D  log j sec t  R tan tj C C. (c) Write sec 2 t D 1 C tan2 t and integrate sec3 t dt by parts to get Z

sec3 t dt D  log j sec t  tan tj C sec t  tan t 

and, hence, Z

sec3 t dt D

Z

sec3 t dt

1 .sec t  tan t  log j sec t  tan tj/ C C: 2

16. * The hyperbolic sine and hyperbolic cosine, respectively denoted sinh; cosh W R ! R, are defined by sinh x D

ex  ex 2

and

cosh x D

ex C ex : 2

10.7 Logarithms and Exponentials

413

y

y (cos t, sin t)

(cosh t, sinh t)

x

x

Fig. 10.8 Circular and hyperbolic sines and cosines

With respect to them, do the following items: (a) Show that cosh2 x  sinh2 x D 1, sinh0 x D cosh x and cosh0 x D sinh x. (b) Show that cosh is an even and strictly convex function with image Œ1; C1/, such that cosh x D 1 , x D 0. (c) Show that sinh is an odd strictly increasing function with image R. Show also that sinh is strictly convex in .0; C1/ and strictly concave in .1; 0/, and that x D 0 is its only inflection point. (d) Sketch the graphs of the hyperbolic sine and hyperbolic cosine in a single cartesian system of coordinates; in this same cartesian system, sketch also the graphs of x 7! 21 ex (x > 0) and x 7! 12 ex , x 7!  12 ex (x < 0). (e) The graph of the hyperbolic cosine is known as the catenary.5 Given x0 2 R, show that the curvature of the catenary at x0 (cf. Problem 3, page 344) equals k.x0 / D cosh12 x . 0

The next problem explains the names hyperbolic sine and hyperbolic cosine. To put it in context, recall (cf. Fig. 10.8, left) that the area of the circular sector of radius 1, contained in the first quadrant of the cartesian plane, centered at the origin and bounded by the radii that join the origin to the points .1; 0/ and .cos t; sin t/ equals 2t . 17. For all t 2 R, observe that the point .cosh t; sinh t/ belongs to the right branch of the hyperbola x2  y2 D 1, as well as to the straight line y D .tanh t/x, where sinh t tanh t D cosh . For a fixed t > 0, let A be the area of the bounded portion of the t cartesian plane bounded by the horizontal axis, the right branch of x2  y2 D 1 and the straight line y D .tanh t/x (cf. Fig. 10.8, right). Show that A D 2t . 18. Given  > 0, show that limx!0C x log x D 0.

5

For the reader’s curiosity, the surface of revolution generated by the rotation of the catenary along the horizontal axis is an example of a minimal surface, in this case a catenoid. Minimal surfaces have very interesting properties, some of which can be found in the excellent book of professor M. P. do Carmo [8].

414

10 Riemann’s Integral

19. * With respect to (10.57), show that 0 < log n 

1  < : k n

n X 1 kD1

20. * If f W Œ1; C1/ ! R is given by f .x/ D log.x C 1=2/  .x C 1/ log.x C 1/ C x log x C 1; prove that f is positive in Œ1; C1/. n D e. 21. Show that limn!C1 p n nŠ

22. Let 0 < ˛ < 1 be given and k; n 2 N be such that k > ˛n. Prove that ..kC1/e/n p .

kn n



2n

10.8 Miscellaneous This section gathers some interesting applications of the natural logarithm and exponential function. We start by examining three examples which show that the fact that we now have logarithms and exponentials at our disposal gives greater flexibility to the material discussed so far. Example 10.58 (Thailand) Find all functions f W N ! R satisfying the following conditions: (a) f is increasing. (b) f .1/ D 1 and f .2/ D 4. (c) f .xy/ D f .x/f .y/ for all x; y 2 N. Solution An easy induction gives f .2k / D 22k , for every k 2 N. Take an integer a > 2 and suppose, for the sake of contradiction, that f .a/  a2  1. Since Q is dense in R, we can choose m; n 2 N such that log 22 log 22 m < ; < log a2 n log.a2  1/ so that 2n < am and .a2  1/m < 22n . Hence, successive applications of (a) and (c) give us f .2n / D 22n > .a2  1/m  f .a/m D f .am / > f .2n /; which is a contradiction. A similar reasoning shows that f .a/  a2 C 1 also leads to a contradiction, so that the only left possibility is f .a/ D a2 . u t

10.8 Miscellaneous

415

The next example shows how to use logarithms to guarantee the existence of powers of a fixed (and almost arbitrary) given basis beginning (from the left) by a prescribed set of algarisms. At this point, the reader might find it helpful to review the material of Sect. 7.3, specially Corollary 7.33, as well as the statement of Problem 1, page 411. Example 10.59 Let a > 1 be an integer which is not a power of 10, and s be a finite sequence of algarisms, the first of which is nonzero. Prove that there exists a power of a whose decimal representation starts, from the left, with the sequence s of algarisms. Proof We want to show that there exist m; n 2 N for which s  10m  an  .s C 1/  10m : Taking logarithms in base 10, this is the same as showing that there exist naturals m and n for which log10 s C m  n log10 a  log10 .s C 1/ C m or, which is the same, log10 s  m C n log10 a  log10 .s C 1/: If we show that log10 a is irrational, the proof will be finished thanks to Corollary 7.33 of Kronecker’s lemma. Suppose, by contradiction, that log10 a 2 Q, say log10 a D pq , with p; q 2 N relatively prime. Then aq D 10p , and the Fundamental Theorem of Arithmetic (cf. introduction to Chap. 1), allow us to write a D 2k 5l b, for some nonnegative integers k; l and some natural b relatively prime with 10. But these two facts give the equality 2kq 5lq bq D 2p 5p , from which we deduce that b D 1, kq D p and lq D p. Thus, we conclude that k D l, which would give us a D 2k 5k D 10k , a contradiction. t u We now refine the kind of argument of the previous example to establish the best possible converse of Problem 16, page 11. Example 10.60 Prove that there exist infinitely many naturals n such that the decimal representations of 2n and 5n start (at left) with a 3. Proof If 2n and 5n are to begin with a 3, it is necessary and sufficient that there exist naturals k and l such that 3  10k < 2n < 4  10k and 3  10l < 5n < 4  10l or, taking logarithms in base 10, that log10 3 < k C n log10 2 < log10 4 and log10 3 < l C n log10 5 < log10 4: In turn, this is equivalent to asking that the fractional parts6 of both n log10 2 and n log10 5 belong to the interval .log 3; log 4/.

Recall that the fractional part of x 2 R, denoted fxg, is defined as fxg D x  bxc, and belongs to the interval Œ0; 1/.

6

416

10 Riemann’s Integral

Since n log10 2 C n log10 5 D n and fng D 0, such fractional parts are at the same distance from 12 . Finally, since 12 2 .log10 3; log10 4/, we conclude that it suffices to show that there exist infinitely many naturals k and n such that log10 3 < k C n log10 2 < log10 4: However, as we have shown in the solution to the previous example, log10 2 is irrational, so the existence of such k and n follows again from Corollary 7.33 of Kronecker’s lemma. t u We now turn to inequalities. Up to this moment, we have given or hinted at three different proofs of the inequality between the arithmetic and geometric means (one in Theorem 5.7, another in Problem 13, page 140, and a third one in Example 9.59). Jensen’s inequality applied to the natural logarithm function provides a fourth one, which is particularly straightforward. However, before we present it, it is worth to point out the following generalization of (10.48), which can be easily established by induction: for x1 ; x2 ; : : : ; xn > 0, we have log.x1 x2 : : : xn / D log x1 C log x2 C    C log xn :

(10.61)

Example 10.61 Let n  2 be an integer and x1 , x2 , . . . , xn be positive reals. Since log W .0; C1/ ! R is strictly concave, the version of Corollary 9.75 for strictly concave functions gives us   x1 C x2 C    C xn log x1 C log x2 C    C log xn  log : n n If we successively apply (10.61) and Corollary 10.48 (with x D x1 x2 : : : xn and r D 1n ) to the left hand side, we get   p x1 C x2 C    C xn n ; log x1 x2 : : : xn  log n

(10.62)

with equality if and only if x1 D x2 D    D xn . But since log is an increasing function, it follows from here that p n

x1 x2 : : : xn 

x1 C x2 C    C xn ; n

with equality if and only if x1 D x2 D    D xn . Essentially the same idea as that of the proof of the previous example allows one to obtain the important Young’ inequality.7

7

After William H. Young, English mathematician of the XIX and XX centuries.

10.8 Miscellaneous

417

Proposition 10.62 (Young ) Let p and q be positive reals such that Given a; b > 0, we have ab 

bq ap C ; p q

1 p

C

1 q

D 1.

(10.63)

with equality if and only if ap D bq . Proof Given positive reals x1 , x2 , t1 and t2 > 0 such that t1 Ct2 D 1, strictly concave character of the natural logarithm function in .0; C1/, together with Jensen’s inequality, gives log.t1 x1 C t2 x2 /  t1 log x1 C t2 log x2 ; with equality if and only if x1 D x2 . Letting t1 D 1p , t2 D 1q , x1 D ap and x2 D bq , we get  log

bq ap C p q



1 1 log ap C log bq D log ab; p q



with equality if and only if ap D bq . Finally, since log is strictly increasing, it follows from the above inequality that ap bq C  ab; p q with equality if and only if ap D bq .

t u

The inequality of the coming result is a consequence of Young’s inequality and is known as Hölder’s inequality.8 Note that, when p D q D 2, such an inequality reduces to Cauchy’s inequality (cf. Theorem 5.13). Nevertheless, it is only after defining ax for reals a; x > 0 that we can make sense of it. Theorem 10.63 (Hölder) Let a1 ; a2 ; : : : ; an and b1 ; b2 ; : : : ; bn be given positive reals, and p; q > 0 be such that 1p C 1q D 1. Then, n X

ai bi 

iD1

n X iD1

!1=p p ai

n X

!1=q q bi

;

iD1

with equality if and only if p

p

a1 a2 apn q D q D ::: D q: b1 b2 bn 8

After Otto Hölder, German mathematician of the XIX and XX centuries.

418

10 Riemann’s Integral

Proof Letting A D

p 1=p

Pn iD1

ai

n X

and B D

ai bi  AB ,

iD1

Now, letting xi D

ai A

n X

p

and yi D

xi D

iD1

and want to prove that inequality: n X iD1

xi yi 

bi , B

iD1

bi

, we have

n X ai bi   1: A B iD1

we have

n n n X 1 X p 1 X q q a D 1; y D b D1 i Ap iD1 i Bq iD1 i iD1

Pn

iD1 xi yi

 1. But this is straightforward from Young’s q

n  p X x

y C i p q i

iD1

1X p 1X q D x C y D 1: p iD1 i q iD1 i

p

p ai Ap

q 1=q

Pn

n

n

q

To have equality, we must have xi D yi for 1  i  n or, which is the same, D

q bi Bq

for 1  i  n. Yet in another way, we must have p

p

a1 a2 apn Ap q D q D ::: D q D q: B b1 b2 bn Conversely, it’s immediate to verify that if the above condition is satisfied then we do have equality. t u A version of Hölder’s inequality for integrals will be the object of Problem 8 of the next section. We finish this section by discussing two more elaborate applications of Jensen’s inequality, the first of which appeared as a problem at the 2001 IMO. We divide it into two examples. Example 10.64 Sketch the graph of the function f W R ! R given by 1 f .x/ D p : 1 C 8ex Solution Firstly, note that 0 < f .x/ < 1 for every x 2 R. Moreover, since limx!C1 ex D C1 and limx!1 ex D 0, we have lim f .x/ D 0

x!C1

and

lim f .x/ D 1:

x!1

It follows that the graph of f is entirely contained in the strip of the cartesian plane bounded by the horizontal lines y D 0 and y D 1, and that these lines are asymptotes

10.8 Miscellaneous

419

to the graph. On the other hand, since f .0/ D 13 , the graph intersects the vertical axis   at the point 0; 13 . Now, an immediate computation with the aid of the chain rule gives f 0 .x/ D 

4ex < 0; .1 C 8ex /3=2

for every x 2 R, so that f decreases along the whole real line. Also, computing f 00 (again with the aid of the chain rule) we get f 00 .x/ D 

4ex .1  4ex /: .1 C 8ex /5=2

Therefore, the sign of f 00 coincides with that of 4ex  1, so that f is strictly convex in .2 log 2; C1/, strictly concave in .1; 2 log 2/ and has x0 D 2 log 2 as its only inflection point. Finally, noticing that 2 log 2 Š 1:38, f .2 log 2/ D p1 Š 0:58 and gathering 3 together the above information, we get Fig. 10.9 as a reasonably accurate sketch for the graph of f . t u We now come to the promised IMO problem. Example 10.65 (IMO) Prove that, for every positive reals a, b and c, one has a b c p Cp Cp  1: 2 2 2 a C bc b C ac c C ab Proof Note, first of all, that the expression at the left hand side of the inequality equals q

1 1 C 8 abc2

Cq

1 1 C 8 bac2

Cq

1 1 C 8 ab c2

:

y y=1 0, 58 −1, 38 Fig. 10.9 Graph of the function x 7!

p 1 1C8ex

x

420

10 Riemann’s Integral

Letting prove that

bc a2

D ex ,

ac b2

D ey and

ab c2

D ez we have x C y C z D 0 and wish to

f .x/ C f .y/ C f .z/  1; where f W R ! R is the function of the previous example. To what is left to do, there are three possibilities: (i) x; y; z > 2 log 2: Jensen’s inequality gives  f .x/ C f .y/ C f .z/  3f

xCyCz 3

 D 3f .0/ D 1:

(ii) x; y  2 log 2 < z: then 2 f .x/ C f .y/ C f .z/  f .x/ C f .y/  2f .2 log 2/ D p > 1: 3 (iii) x  2 log 2 < y; z: again by Jensen’s inequality, we get  f .x/ C f .y/ C f .z/  f .x/ C 2f

yCz 2



 x D f .x/ C 2f  : 2

If g W .1; 2 log 2 ! R is given by  x g.x/ D f .x/ C 2f  ; 2 observe that lim g.x/ D lim f .x/ C 2 lim f .x/ D 1

x!1

x!1

x!C1

and 1 2 g.2 log 2/ D p C p > 1: 3 17 On the other hand,  x 4ex 4ex=2 g0 .x/ D f 0 .x/  f 0  D C ; x 3=2 2 .1 C 8e / .1 C 8ex=2 /3=2 so that g0 .x/ < 0 if and only if 2 log 7 < x < 2 log 2. Hence, x 2 .1; 2 log 7 ) g.x/ > 1

10.8 Miscellaneous

421

and x 2 .2 log 7; 2 log 2/ ) g.x/ > g.2 log 2/ > 1: t u 9

The subsequent discussion derives an inequality which widely generalizes that between the arithmetic and geometric means and is known as the inequality of power means. We start by defining what one means for such power means. Definition 10.66 Given positive reals a1 ; a2 ; : : : ; an and ˛ 2 R, we define the ˛-th power mean of a1 , a2 , . . . , an as the positive real number M˛ D M˛ .a1 ; : : : ; an /, such that 8 < a˛1 Ca˛2 CCa˛n 1=˛ ; if ˛ ¤ 0 n M˛ D p : : n a a : : : a ; if ˛ D 0 1 2 n Theorem 10.67 Let a1 ; a2 ; : : : ; an be given positive reals. If ˛ < ˇ are any reals, then min fai g  M˛  Mˇ  max fai g;

1in

(10.64)

1in

with equality in any of the inequalities above if and only if all of the ai ’s are equal. Proof We can assume, without loss of generality, that not all of the ai ’s are equal. Let’s momentarily assume that (10.64) is true (with strict inequalities) for all 0 < ˛ < ˇ. Given reals x < y < 0, we have x > y > 0; since a11 ; : : : ; a1n are also positive and not all equal, it follows from our assumptions that  min

1in

1 ai



 < My

1 1 ;:::; a1 an



 < Mx

1 1 ;:::; a1 an



 < max

1in

 1 : ai

Now, an easy computation gives  Mt

1 1 ;:::; a1 an



D Mt .a1 ; : : : ; an /1

for every t 2 R, so that the above inequalities are equivalent to 

1 max fai g

1in

< My .a1 ; : : : ; an /

1

< Mx .a1 ; : : : ; an /

1


0, show that Z lim n

n!C1

0

1

  aC1 xn dx D log : xn C a a

10.8 Miscellaneous

425

10. Let x, y and z be positive reals whose sum of squares equals 8. Prove that the q 2 sum of their cubes is greater than or equal to 16 3 . 11. Prove the following generalization of the inequality between the arithmetic and geometric means, known as the weighted arithmetic-geometric means inequality: given positive reals a1 , a2 , . . . , an and naturals k1 , k2 , . . . , kn such that k11 C k12 C    C k1n D 1, we have a k2 ak11 a kn C 2 C    C n  a1 a2 : : : an ; k1 k2 kn with equality if and only if a1 D a2 D : : : D an . 12. (USA) Given positive real numbers a, b and c, prove that  a b c  a b c

aCbCc 3

aCbCc ;

with equality if and only if a D b D c. 13. (Leningrad) Let x1 , x2 , . . . , xn be nonnegative reals with sum equal to 12 . Show that   n Y 1  xj 2n  1 n  : 1 C xj 2n C 1 jD1 14. Let 0 < x1 ; x2 ; x3 ; x4 <  be real numbers such that x1 C x2 C x3 C x4 D 2. Prove that 4 Y sin xi iD1

xi



16 : 4

15. (IMO shortlist) Let a1 , a2 , . . . , an be real numbers greater than or equal to 1. Prove that 1 1 1 n C CC p : n a a :::a C 1 a1 C 1 a2 C 1 an C 1 1 2 n   16. (IMO shortlist) Let a1 , a2 , . . . , an be real numbers in the interval 0; 12 , with a1 C a2 C    C an < 1. Prove that 1 a1 a2 : : : an Œ1  .a1 C a2 C    C an /  nC1 : .a1 C a2 C    C an /.1  a1 /.1  a2 / : : : .1  an / n

426

10 Riemann’s Integral

17. Prove Minkowski’s inequality10 : given an integer k > 1 and positive reals a1 , a2 , . . . , an , b1 , b2 , . . . , bn , we have v v v u n u n u n uX uX uX k k k k k t t .ai C bi /  ai C t bki ; iD1

with equality if and only if

iD1 a1 b1

D

a2 b2

D  D

iD1 an . bn

10.9 Improper Integration The purpose of this section is to extend Riemann’s integral to functions which are not necessarily bounded and are defined in arbitrary intervals. If I  R is an interval, then I is of one of the forms ŒA; B, .A; B/, ŒA; B/, .A; B, .A; C1/, ŒA; C1/, .1; A/, .1; A or .1; C1/ D R, with A; B 2 R. In order to avoid the need of examining each one of these cases separately, and for general notational convenience, we: (i) shall refer to the real numbers A, B, or to the symbols 1, C1 as the endpoints of I (albeit 1 and C1 are just formal symbols, and not real numbers), which will be generically denoted by ˛ and ˇ; (ii) impose that 1 < A; B < C1, for all A; B 2 R. Thus, if I has endpoints ˛ and ˇ, with ˛ < ˇ, then .˛; ˇ/  I and I n .˛; ˇ/  f˛; ˇg: For instance, if I has endpoints ˛ D A and ˇ D C1, we have .A; C1/  I and I n .A; C1/  fA; C1g, so that I D .A; C1/ or ŒA; C1/. Let I be a fixed interval and f W I ! R be a given function, such that f is integrable in each interval Œa; b  I. (In particular, if I D Œa; b, then we assume that f is integrable in I.) This implies that f is bounded in each interval Œa; b  I, albeit it may well happen that f is not bounded in I. (Nevertheless, recall that if f is continuous in I, then, even if f is unbounded in I, Weierstrass’ Theorem 8.26 assures that it is bounded in each interval Œa; b  I.) Definition 10.68 Let I  R be an interval with endpoints ˛ and ˇ, with ˛ < ˇ, and f W I ! R be integrable in each interval Œa; b  I. We say that f is integrable

10

After Hermann Minkowski, German mathematician of the XIX and XX centuries. Minkowski made several seminal contributions to different branches of Mathematics. His geometric method on Algebraic Number Theory proved to be quite fruitful for the development of that theory. Also, Minkowski’s four dimensional space is the correct setting for the geometric description of special relativity.

10.9 Improper Integration

427

in I if, for some x0 2 .˛; ˇ/, the limits Z

x0

lim

x!˛

Z

y

f .t/ dt and lim

f .t/ dt

y!ˇ

x

(10.67)

x0

do exist. This being the case, we define the improper integral of f in I, denoted Rˇ ˛ f .t/ dt, by setting Z

Z

ˇ

x!˛

˛

and say that the improper integral

Z

x0

f .t/ dt D lim

f .t/ dt;

y!ˇ

x

Rˇ

y

f .t/ dt C lim

x0

f .t/ dt converges.

˛

It is important to realize that the former definition does not depend on the chosen x0 2 I. More precisely, suppose that x0 2 I is chosen so that the limits (10.67) do exist, and let x00 be another point in I. Then, Z

x00

Z f .t/ dt D

x

so that the limit limx!˛

R x00 x

x00

lim

Analogously, limy!ˇ

Z lim

Z

x00

lim

x!˛

R x0

0

x0

f .t/ dt D lim

Z

y

f .t/ dt D

f .t/ dt C

R x0 x00

Z f .t/ dt C lim

y!ˇ

x

x0

Z

x00

f .t/ dt C

x

f .t/ dt:

x0

f .t/ dt does exist, with

x00

y!ˇ

Therefore, since

Z x!˛

x00

f .t/ dt;

x0

f .t/ dt also exists, with

x

Ry

x00

f .t/ dt C

x

Z x!˛

Z

x0

x0 x00

Z y!ˇ

f .t/ dt: x0

f .t/ dt D 0, we get Z

y x00

y

f .t/ dt C lim

x0

f .t/ dt D lim

x!˛

Z

y

f .t/ dt C lim

y!ˇ

x

f .t/ dt: x0

On the other hand, in case I D Œa; b, we claim that the definition of integral given in Chap. 10 coincides with the present one. In order to check that, let f W Œa; b ! R be (bounded and) integrable in Œa; b, and fix x0 2 .a; b/. Then f is integrable in Œa; x0  and, for x 2 .a; x0 /, we have Z

x0 x

Z

x0

f .t/ dt D a

Z

x

f .t/ dt 

f .t/ dt: b

428

10 Riemann’s Integral

Letting M be an upper bound for jf j in Œa; b, it follows from the triangle inequality for integrals and Proposition 10.12 that ˇZ x ˇ Z x ˇ ˇ ˇ ˇ f .t/ dt jf .t/jdt  M.x  a/; ˇ ˇ a

a

Rx so that the squeezing principle gives limx!a a f .t/ dt D 0. Therefore, Z x0 Z x0 Z x0 Z x f .t/ dt D f .t/ dt  lim f .t/ dt D f .t/ dt: lim x!a x

x!a a

a

a

Since f is also integrable in Œx0 ; b, a similar reasoning allows us to conclude that Z b Z b Z y Z b lim f .t/ dt D f .t/ dt  lim f .t/ dt D f .t/ dt: y!b x 0

y!b y

x0

x0

Finally, by invoking Proposition 10.21, we get Z lim

x!a x

x0

Z

Z

y

f .t/ dt C lim

y!b x 0

x0

f .t/ dt D

Z f .t/ dt C

a

Z

b

b

f .t/ dt D x0

f .t/ dt: a

Thanks to the above discussion, we can restrict the study of improper integrals to the cases in which I D .A; B, ŒA; B/, .1; B or ŒA; C1/, with A; B 2 R. Along the rest of this section, we stick to the cases I D ŒA; B/ and ŒA; C1/, leaving to the reader the task of formulating the analogous results when I D .A; B or .1; B. Let’s start by looking at two examples. R C1 Example 10.69 The improper integral 0 et dt does converge. More precisely, R C1 t we have 0 e dt D 1. Proof For x > 0, it follows from the FTC that Z 0

x

ˇtDx ˇ et dt D et ˇ D 1  ex : tD0

R C1 t u Now, Theorem 10.54 gives limx!C1 ex D 0, so that 0 et dt D 1. R C1 ˛ Example 10.70 The improper integral 1 t dt converges if and only if ˛ < 1. Proof For x > 1 and ˛ ¤ 1, note that Z

x 1

t˛ dt D

1 ˛C1 ˇˇtDx 1 t ˇ .x˛C1  1/: D tD1 ˛C1 ˛C1

Now, since x˛C1 D e.˛C1/ log x , we have (again by Theorem 10.54) that lim x˛C1 D

x!C1



0; if ˛ C 1 < 0 : C1; if ˛ C 1 > 0

(10.68)

10.9 Improper Integration

429

Hence, the right hand side of (10.68) has a (finite) limit when x ! C1 if and only if ˛ C 1 < 0, i.e., if and only if ˛ < 1. Finally, if ˛ D 1, then Z

x 1

ˇtDx ˇ t1 dt D log tˇ D log x ! C1 tD1

when x ! C1.

t u

Also with respect to the previous example, since x˛ D lim x˛C1 D 0 x!C1 x1 x!C1 lim

R C1 if and only if ˛ < 1, we use to say that 1 t˛ dt converges if and only if x˛ decays to zero more rapidly than x1 when x ! C1. See also Problem 3, which R1 deals with the case 0 t˛ dt. The coming theorem is the fundamental result on the convergence of improper integrals. Note that it is the analogue, for improper integrals, of Theorem 7.27. For its statement, as well as for remark just following its proof, the reader may find it convenient to read again Problem 8, page 218. Theorem 10.71 Let f W ŒA; C1/ ! R be integrable in each interval Œa; b  ŒA; C1/. The following assertions are equivalent: R C1 (a) A f .t/ dt converges. ˇR ˇ ˇ x ˇ (b) For every  > 0, there exists M > A such that x1 ; x2 > M ) ˇ x12 f .t/ dtˇ < . (c) There exists L 2 R such that, for every sequence R x .xn /n1 in ŒA; C1/ and satisfying limn!C1 xn D C1, one has limn!C1 A n f .t/ dt D L. Rx Proof Let F W ŒA; C1/ ! R be defined by F.x/ D A f .t/ dt. R C1 R C1 (a) ) (b): assume that A f .t/ dt converges, with A f .t/ dt D L. By definition, we have limx!C1 F.x/ D L, so that, given  > 0, there exists M > 0 for which x > M ) jF.x/  Lj
M, triangle inequality gives ˇZ ˇ ˇ ˇ

x2

x1

ˇ ˇ f .t/ dtˇˇ D jF.x2 /  F.x1 /j  jF.x2 /  Lj C jL  F.x1 /j
0, take M as in the statement and n0 2 N such that n > n0 ) xn > M. Then, for m; n > n0 , we have xm ; xn > M, so that ˇZ x m ˇ ˇ ˇ ˇ jF.xm /  F.xn /j D ˇ f .t/ dtˇˇ < : xn

Therefore, .F.xn //n1 is a Cauchy sequence, thus convergent, by Theorem 7.27. If L D limn!C1 F.xn /, we claim that limn!C1 F.x0n / D L for every sequence 0 .xn /n1 satisfying x0n  A for n  1 and limn!C1 x0n D C1. Indeed, the discussion in the previous paragraph (with .x0n /n1 in place of .xn /n1 ) assures the existence of L0 D limn!C1 F.x0n /. However, if it was L0 ¤ L, then the sequence .x00n /n1 , given for k  1 by x002k1 D x2k1 and x002k D x02k , would also converge to C1 and be such that lim F.x002k1 / D L and

k!C1

lim F.x002k / D L0 :

k!C1

Since L ¤ L0 , the limit limn!C1 F.x00n / would not exist, which contradicts the argument of the previous paragraph (this time with .x00n /n1 in place of .xn /n1 ). (c) ) (a): suppose that there exists L 2 R such that, for every sequence .xn /n1 in ŒA; C1/ with limn!C1 xn D C1, we have limn!C1 F.xn / D L. If limx!C1 F.x/ does not exist or is different from L, then there exist  > 0 and, for every B > A, a real number xB > B such that jF.xB /  Lj  . Taking B successively equal to A C 1, A C 2, A C 3, . . . , we would get a sequence x1 , x2 , x3 , . . . satisfying xn > A C n and jF.xn /  Lj   for every n  1. Therefore, limn!C1 xn D C1 but .F.xn //n1 does not converge to L, which is an absurd. t u Remark 10.72 It is immediate to adapt the previous result to the case of a function f W ŒA; B/ ! R which is integrable in each interval ŒA; b with A < b < B. More precisely, and as the reader can easily verify, the following assertions are equivalent: RB (a) A f .t/ dt converges. (b) For ˇR every ˇ > 0, there exists ı > 0 such that B  ı < x1 ; x2 < B ) ˇ ˇ x2 ˇ x1 f .t/ dtˇ < . (c) There exists L 2 R such that, for everyR sequence .xn /n1 in ŒA; B/ and satisfying x limn!C1 xn D B, one has limn!C1 A n f .t/ dt D L. We now establish an important consequence of the previous theorem, which is known in mathematical literature as the comparison test for improper integrals. Proposition 10.73 Let f ; g W ŒA; C1/ ! R be such that jf .x/j  g.x/ for every x 2 ŒA; C1/. If f and g are integrable in every interval Œa; b  ŒA; C1/ and R C1 R C1 g.t/ dt converges, then A f .t/ dt also converges and A ˇZ C1 ˇ Z C1 ˇ ˇ ˇ f .t/ dtˇˇ  g.t/ dt: ˇ A

A

10.9 Improper Integration

431

R C1 Proof Firstly, notice that g.x/  0 for every x  A, so that A g.t/ dt  0. Then, R C1 given  > 0, the convergence of A g.t/ dt, together with Theorem 10.71, assures the existence of M > A such that Z x2 g.t/ dt < : x1 ; x2 > M ) x1

Now, the triangle inequality for integrals, together with Proposition 10.12, guarantees that, also for x1 ; x2 > M, we have ˇZ ˇ ˇ ˇ

x2 x1

ˇ Z ˇ f .t/ dtˇˇ 

x2

Z jf .t/jdt 

x1

x2

g.t/ dt < :

x1

Then, once more from Theorem 10.71, we get the convergence of the integrals R C1 R C1 f .t/ dt and A jf .t/j dt. A Finally, it follows from what we did above, together with the properties of limits of functions (cf. Sect. 9.2) that ˇZ ˇ ˇ ˇ

A

C1

ˇ ˇZ x ˇ ˇ ˇ Z x ˇ ˇ ˇ ˇ ˇ ˇ ˇ ˇ ˇ f .t/ dtˇ D ˇ lim f .t/ dtˇ D lim ˇ f .t/ dtˇˇ x!C1 A x!C1 A Z x Z x  lim jf .t/jdt  lim g.t/ dt x!C1 A

Z

x!C1 A

C1

D

g.t/ dt: A

t u Remark 10.74 As in the previous remark, the former proposition can be easily adapted to deal with the case I D ŒA; B/. More precisely, if f ; g W ŒA; B/ ! R are integrable in each interval ŒA; b with A < b < B, and such that jf .x/j  g.x/ RB RB for every x 2 ŒA; B/, then the convergence of A g.t/ dt implies that of A f .t/ dt; moreover, one also has ˇZ ˇ ˇ ˇ

B A

ˇ Z ˇ f .t/ dtˇˇ 

B

g.t/ dt:

A

Example 10.75 We shall use Proposition 10.73 to establish the convergence of Dirichlet’s integral Z

C1 0

sin t dt: t

432

10 Riemann’s Integral

To this end, start by observing that the fundamental trigonometric limit (cf. Lemma 9.11) assures that the function t 7! sint t extends continuously to 0. R C1 sen t Therefore, it suffices to establish the convergence of 1 t dt. To what is left, let x > 1. Integrating by parts, we get Z x Z x cos t ˇˇtDx sin t cos t dt D  dt ˇ  tD1 t t t2 1 1 Z x cos x cos t  D cos 1  dt: x t2 1 R C1 sin t Since j cos xj  1 for every x, the computations above guarantee that 1 dt t R C1 cos t dt converges. Hence, we have reduced our work converges if and only if 1 t2 to the convergence of this last improper integral. ˇ xˇ ˇ  12 and Finally, it is enough to apply the comparison test, noticing that ˇ cos x2 x R C1 1 (according to Example 10.70) 1 dt does converge. 2 t Problem 10, page 436, brings another proof of the convergence of Dirichlet’s integral. On the other hand, it is possible to show (cf. [10, 20] or [27], for instance) that Z C1  sin t dt D : t 2 0 In turn, this computation is of fundamental importance to the theory of Fourier series.11 Figure 10.10 sketches the graph of x 7! sinx x . Back to the development of the theory, Proposition 10.73 assures that if f W R C1 ŒA; C1/ ! R is integrable in each interval Œa; b  ŒA; C1/ and A jf .t/j dt R C1 converges, then A f .t/ dt also converges and ˇZ C1 ˇ Z C1 ˇ ˇ ˇ f .t/ dtˇˇ  jf .t/j dt (10.69) ˇ A

A

(recall that jf j is also integrable in each interval Œa; b  ŒA; C1/, by ProposiR C1 tion 10.14). In such a case, we say that A f .t/ dt is absolutely convergent. Not every convergent improper integral is absolutely convergent; actually, Problem 11, R C1 sin t page 436, shows that 0 dt is not absolutely convergent. t We finish this section by showing that the link between the theory of convergent series and convergent improper integrals is actually deeper. More precisely, the coming result establishes an equivalence between the convergence of the integral of a positive function and that of a certain series. For this reason, it is known as the integral test for absolute convergence of series.

11

After Jean-Baptiste-Joseph Fourier, French engineer and mathematician of the XIX century. For more on Fourier see the footnote on page 469. A glimpse on the theory of Fourier Series is the content of Problems 11 to 17, page 468.

10.9 Improper Integration

433

1.0

0.5

−80

−60

−40

−20

20

40

60

80

−0.5

Fig. 10.10 Graph of x 7!

sin x x

Theorem 10.76 Let n0 2 N and f W Œn0 ; C1/ ! R be a decreasing function, integrable in each interval Œa; b  Œn0 ; C1/ and such that limx!C1 f .x/ D 0. Then Z

X

C1

f .t/ dt converges , n0

f .k/ converges:

kn0

Proof Let g; h W Œn0 ; C1/ ! R be the functions given, in the interval Œk; k C 1/ (for each k  n0 ), by g.x/ D f .k C 1/ and h.x/ D f .k/. The conditions on f guarantee that 0  g.x/  f .x/  h.x/ for every x  n0 . Hence, the comparison test for improper integrals assures that Z

Z

C1

C1

f .t/ dt converges )

g.t/ dt converges

n0

n0

and Z

Z

C1

C1

h.t/ dt converges ) n0

f .t/ dt converges: n0

On the other hand, for an integer n > n0 , we have Z

n

g.t/ dt D n0

n X kDn0 C1

Z

n

f .k/ and

h.t/ dt D n0

n1 X kDn0

f .k/:

434

10 Riemann’s Integral

Finally, let’s apply equivalence (a) , (c) of Theorem 10.71, with xk D k for every k  n0 : R C1 R C1 (i) If n0 f .t/ dt converges, then n0 g.t/ dt converges and, hence Z

Z

C1

n!C1 n0

n0

n X

n

g.t/ dt D lim

g.t/ dt D lim

n!C1

X

f .k/ D

kDn0 C1

f .k/:

kn0 C1

P P P Therefore, kn0 f .k/ converges, with kn0 f .k/ D f .n0 / C kn0 C1 f .k/. P (ii) If kn0 f .k/ converges, then Z

Z

C1

h.t/ dt D lim

n!C1 n 0

n0

so that

n

n1 X

h.t/ dt D lim

n!C1

f .k/ D

kDn0

X

f .k/;

kn0

R C1

h.t/ dt converges. Hence, what we did before assures the converR C1 gence of n0 f .t/ dt. t u n0

Example 10.77 The integral test allows us to easily establish P the divergence of the harmonic series, as well as the convergence of the series k1 k1r , for every real number r > 1. For the harmonic series, letting f W Œ1; C1/ ! R be given by f .x/ D 1x , we have Z

C1 1

1 dt D lim x!C1 t

Z

x 1

1 dt D lim log x D C1: x!C1 t

Analogously, taking f W Œ1; C1/ ! R given by f .x/ D Z

C1 1

1 dt D lim x!C1 tr

Z 1

x

1 1 dt D lim r x!C1 t 1r



Let’s now see one more interesting example. Example 10.78 Examine the convergence of the series

1 , xr

with r > 1, we have

1 xr1 P

 1 D

1 : r1

1 k2 k log k .

1 Solution Let f W Œ2; C1/ ! R be given by f .x/ D x log x , so that f is continuous, P 1 decreasing and such that limx!C1 f .x/ D 0. The integral test says that k2 k log k R C1 converges if and only if 2 f .t/ dt also does.

10.9 Improper Integration

435

To what is left, note that the substitution of variable s D log t (cf. Problem 2, page 435) gives Z

Z

C1 2

f .t/ dt D

C1

2

1 dt D t log t

Z

C1

log 2

1 ds s

D lim .log s  log 2/ D C1: s!C1

Hence,

R C1 2

f .t/ dt diverges, so that

P

1 k2 k log k

also diverges.

t u

Problems: Section 10.9 1. Examine the convergence of the following improper integrals: (a) (b)

R

 2

 2

R C1 0

(c)

sec t dt. et sin t dt.

(d)

R1

1

log t R0C1

dt.

1 1 1Ct2

dt.

2. * Prove the following version of the change of variables theorem for improper integrals: let f W ŒA; C1/ ! R be continuous and g W ŒB; C1/ ! ŒA; C1/ be differentiable, with limx!C1 g.x/ D C1 and g0 integrable in R C1 each interval Œa; b  ŒB; C1/. Then, g.B/ f .t/ dt converges if and only if R C1 f .g.s//g0 .s/ ds converges. Moreover, if this is so, we also have B Z

Z

C1

C1

f .t/ dt D g.B/

f .g.s//g0 .s/ ds:

B

R1 3. * Show that 0 t˛ dt converges if and only if ˛ > 1. Then, for ˛ < 0, conclude R1 ˛ that 0 t dt converges if and only if x˛ grows to C1 more slowly than x1 as x ! 0C. R1 R1 4. (Berkeley) Prove that both integrals 0 cos.x2 /dx and 0 sin.x2 /dx converge. 5. (Berkeley—adapted) Show that: R R (a) R0 log.sin x/dx andR 0 log j cos xjdx converge.   (b) 0 log.sin x/dx D 0 log j cos xjdx D  log 2. 6. Examine the convergence of the following series, where ˛ > 0 is a given real number: P 1 (a) ˛. Pk2 .log1k/ (b) ˛. Pk2 k.log k/ 1 (c) k2 k.log k/.log log k/˛ .

436

10 Riemann’s Integral

R C1 log t 7. Show that 0 dt converges and compute its value. 1Ct2 The next problem extends the results of Problem 12, page 381, and of Theorem 10.63. 8. * Let I  R be an interval with endpoints ˛ and ˇ, f ; g W I ! .0; C1/ be integrable functions and p; q > 0 such that 1p C 1q D 1. Rˇ Rˇ Rˇ (a) If ˛ f .t/p dt D ˛ g.t/q dt D 1, show that ˛ f .t/g.t/ dt  1. (b) Deduce Hölder’s inequality for integrals: Z

ˇ ˛

Z f .t/g.t/ dt 

ˇ ˛

!1=p Z f .t/ dt

!1=q

ˇ

p

:

q

g.t/ dt ˛

9. In the proof of Theorem 10.55, P  we saw that in order to guarantee the existence n 1  log n it suffices to assure the convergence of the series of limn!C1 kD1 k X 1 k1

k

  log.k C 1/ C log k :

To this end, let f W Œ1; C1/ ! R be given by f .x/ D x  1, and do the following items:

1 x

 log.x C 1/ C log x for

(a) Show that f is decreasing, with limx!C1 f .x/ D 0. (b) Apply the integral test to establish the convergence of the series. 10. The purpose of this problem is to give another proof of the convergence of the R C1 sin t improper integral 0 dt. To this end, do the following items: t P (a) Prove that it suffices to show the convergence of the series k1 sink k . (b) In turn, use Abel’s criterion (cf. Problem 18, page 243) to show that this amounts P to establishing the boundedness of the sequence .sn /n1 , such that sn D nkD1 sin k for n 2 N. (c) Apply the result of Problem 10, page 359, to find sn D hence, jsn j 

1 sin 12

sin

sin nC1 2 sin 12

n 2

and,

.

11. Do the following items: (a) Show that at least one of the numbers j sin nj, j sin.n C 1/j or j sin.n C 2/j is always greater than or equal to 12 . P (b) Conclude that the series k1 j sink kj diverges. R C1 sin t (c) Show that 0 dt is not absolutely convergent. t

10.10 Two Important Applications

437

12. If p1 D 2 < p2 D 3 < p3 D 5 <   P  is the sequence of prime numbers, a theorem of Euler states that the series k1 p1k diverges.12 In order to show this, do the following items: (a) Show that .1  x/1  e2x for 0  x  12 . (b) For n 2 N, let p1 < p2 <    < pl be the prime numbers less that or equal to n. Show that  n l  X 1 1 Y 1  1C C 2 C : k kD1 pk pk kD1 (c) Use the results of (a) and (b) to prove that P (d) Conclude that k1 p1k diverges.

Pn

1 kD1 k

e

Pl

2 kD1 pk

.

10.10 Two Important Applications We recall that our initial motivation for the study of the integral was geometric, namely, to define and compute the area of the region of the cartesian plane under the graph of a given nonnegative (integrable) function. We could also use the concept of integral to deal with the following geometric problems: (I) How to define and compute the length of the graph of f W Œa; b ! R? (II) In case f is positive, how to define and compute the volume of the solid of revolution generated by the rotation of the region under the graph of f around the horizontal axis? (III) Yet in the case of a positive f , how could one define and compute the area of the surface of revolution generated by the rotation of the graph of f around the horizontal axis? In this section we analyse Problem (I), leaving the analysis of Problems (II) and (III) to [4]. As a byproduct of our discussion, we will present a thorough definition and computation of the length of a circle. Then, let f W Œa; b ! R be continuous. Fix (cf. Fig. 10.11) an interval Œc; d  .a; b/, a partition P D fc D x0 < x1 <    < xk D dg of Œc; d and let xj D xj xj1 for 1  j  k. For jPj sufficiently small, it is a reasonable guess to think of the line segment joining points .xj1 ; f .xj1 // and .xj ; f .xj // as a good approximation for the portion of the graph of f situated between the vertical lines x D xj1 and x D xj . If this is so, it is also reasonable to assume that the length `j of such a segment should serve as a good approximation for the length of this portion of the graph of f , whichever way we define it.

12

For a sligthly different proof, see Chap. 9 of [5].

438

10 Riemann’s Integral

f (xj−1 , f (xj−1 )) (xj , f (xj )) xj−1

c = x0

x

xj

d = xk

Fig. 10.11 Approximating the length of a graph

This being said, the formula for the distance between two points of the cartesian plane gives q `j D .xj  xj1 /2 C .f .xj /  f .xj1 //2 s   f .xj /  f .xj1 / 2 D 1C xj : xj  xj1 Now, if f is continuously differentiable in .a; b/, then Lagrange’s MVT guarantees f .x /f .x / the existence of j 2 .xj1 ; xj / such that xj j xj1j1 D f 0 .j /; this way, `j Š

q

1 C f 0 .j /2 xj D

q

1 C f 0 .j /2 .xj  xj1 /:

Adding up the above expression for `j for 1  j  k, we conclude that k q X

1 C f 0 .j /2 .xj  xj1 /

(10.70)

jD1

would be a reasonable approximation for what we would think of as the length of the graph of the restriction of f to the interval Œc; d. Moreover, we could equally hope that such an approximation would get better and better as jPj ! 0. On the other hand, since (10.70) coincides with the Riemann sum p †. 1 C .f 0 /2 I PI /; it follows from Riemann’s Theorem 10.7 that k q X jD1

as jPj ! 0.

Z

d

1 C f 0 .j /2 xj ! c

p 1 C f 0 .x/2 dx

10.10 Two Important Applications

439

Rdp The discussion above allows us to conclude that c 1 C f 0 .x/2 dx is the only reasonable way of defining the length of the graph of the restriction of f to the interval Œc; d. If we now notice that the union of the graphs of such restrictions (as Œc; d varies over all bounded and closed subintervals of .a; b/) coincides with the graph of f but the points .a; f .a// and .b; f .b//, we are naturally led to state the following Definition 10.79 Let f W Œa; b ! R be continuous in Œa; b and continuously differentiable in .a; b/. If the improper integral Z

b

`D

p 1 C f 0 .x/2 dx;

(10.71)

a

does exist, then we say that the graph of f is rectifiable and has length `. Yet with respect to the former definition, recall that Z

b

Z p 1 C f 0 .x/2 dx D lim

b

!0 aC

a

p 1 C f 0 .x/2 dx:

Therefore, if f is continuously differentiable in Œa; b, then Problem 11, page 380, assures that (10.71) holds in the ordinary sense (i.e., not as an improper integral). Example 10.80 Let be a circle of center O and radius R, and choose a cartesian system of coordinates such that O.0; 0/. If f W ŒR; R ! R is given by f .x/ D p R2  x2 , then the graph of f is the semicircle of situated on the upper halfplane of the cartesian plane. Note that f is continuous in ŒR; R and continuously differentiable in .R; R/. Hence, according to (10.71), the length of equals twice the value of the improper integral Z

R R

p 1 C f 0 .x/2 dx;

provided it exists. To see that this is indeed the case, first note that p 1 C f 0 .x/2 D

s 1C



x p R 2  x2

2

R D p : 2 R  x2

Now, performing the trigonometric substitution x D R cos t and observing that RC   x  R   , arccos.1 C R /  t  arccos.1  R /, we get

440

10 Riemann’s Integral

Z

R RC

Z p 1 C f 0 .x/2 dx D Z D

R RC

R p dx 2 R  x2

arccos.1 R / arccos.1C R /

Z

D

R  .R sin t/dt p R2  R2 cos2 t

arccos.1 R / arccos.1C R /

R dt

      arccos 1  : D R arccos 1 C R R Finally, since the arccos function arccos W Œ1; 1 ! Œ0;  is continuous, we obtain Z lim

!0

   p    arccos 1  1 C f 0 .x/2 dx D lim R arccos 1 C !0 R R RC R

D R .arccos.1/  arccos.1// D R: Finally, since essentially the same argument holds for f , we conclude (as expected) that the length of equals 2R. In spite of the former example, the integral in (10.71) is generally difficult (or even impossible—cf. Problem 2) to compute exactly. Let’s see an illustrative example. Example 10.81 Given b > 0, let’s compute the length ` of the portion of the parabola y D x2 situated between the points .0; 0/ and .b; b2 /. With f .x/ D x2 in (10.71) we get Z `D

0

b

p 1 C 4x2 dx:

In order to compute such an integral, we apply the trigonometric substitution x D 1 d 2 2 2 2 tan t. Since 1 C tan t D sec t, dt tan t D sec t and 0  x  b , 0  t  arctan.2b/, it follows from the formula of integration by substitution that Z `D

arctan.2b/ p 0

1 C tan2 t  sec2 t dt D

Z

arctan.2b/

sec3 t dt:

0

Now, item (c) of Problem 15, page 412, gives Z

sec3 t dt D

1 .sec t  tan t  log j sec t  tan tj/ C C: 2

10.10 Two Important Applications

441

p If we set ˛ D arctan.2b/, then tan ˛ D 2b and, hence, sec ˛ D 1 C 4b2 . Therefore, ` D

1

p 1 C tan2 ˛ D

ˇ˛ ˇ .sec t  tan t  log j sec t  tan tj/ C C ˇ

2 p p 1 D b 1 C 4b2  log. 1 C 4b2  2b/: 2

0

We now turn to a completely different topic, using Proposition 10.73 to introduce and discuss some of the amazing properties of the Gamma function. The Gamma function is the function W .0; C1/ ! .0; C1/ defined by Z .x/ D

C1

et tx1 dt:

0

Since Z

C1 0

et tx1 dt D

Z

1

et tx1 dt C

0

Z

C1

et tx1 dt;

1

in order to see that .x/ is well defined it suffices to establish the convergence of both improper integrals at the right hand side above. To what is left to do, initially observe that, since x > 0, Problem 3, page 435, R1 guarantees the convergence of 0 tx1 dt. Since 0 < et tx1 < tx1 for 0 < t  1, Remark 10.74 (modified in the obvious way to be applied to the interval .0; 1) R1 assures the convergence of 0 et tx1 dt. On the other hand, for a fixed x > 0, we claim that et tx1  Cet=2 for t  1, where C is a positive constant that only depends on x. Indeed, letting n > x C 1 be a natural number, it follows from Theorem 10.54 that tn D 0: t!C1 et=2 lim

Therefore, there exists C > 0 such that so, then

tn et=2

 C for every t  1. However, if this is

et tx1  et tn  Cet=2

(10.72)

for every t  1, as we wished to show. Finally, note that an obvious variation of Example 10.69 guarantees the converR C1 gence of the improper integral 1 et=2 dt. Hence, inequality (10.72) allows us to apply Proposition 10.73 (with A D 1, f .t/ D et tx1 and g.t/ D Cet=2 ) to conclude R C1 that 1 et tx1 dt does converge. As a quick look through the classics [3] and [17] makes it clear, the Gamma function has many important applications in Mathematics, notably in Mathematical

442

10 Riemann’s Integral

Physics and Analytic Number Theory. Roughly, one can say that this is due to the fact that it extends the notion of factorial of natural numbers to the positive reals. In order to check the above claim, let’s start by noting that Example 10.69 gives Z .1/ D

C1 0

et dt D 1:

On the other hand, for x > 0 the integration by parts formula furnishes Z .x/ D lim

1

s!0 s

et tx1 dt C lim

Z

s

et tx1 dt

s!C1 1



 Z 1 t x ˇˇtD1 1 1 t x e tˇ C e t dt s!0 x tDs x s   Z ˇ 1 t x ˇtDs 1 s t x e tˇ C C lim e t dt s!C1 x tD1 x 1 Z Z 1 1 C1 t x 1 1 t x e t dt C e t dt C lim es sx : D s!C1 x 0 x 1 x

D lim

Now, according to Theorem 10.54, we have lims!C1 1x es sx D 0. Therefore, it follows from the above computations that .x/ D

1 x

Z

1 0

et tx dt C

1 x

Z

C1

et tx dt D

1

1 x

Z 0

C1

et tx dt D

1 .x C 1/: x

Then, .x C 1/ D x .x/ for every x > 0, and an easy induction starting from .1/ D 1 gives .n/ D .n1/Š for every n 2 N. We now show that is continuous and log W .0; C1/ ! R is convex in .0; C1/. Actually, since D elog in view of Proposition 9.68 it suffices to establish the second claim above. The convexity of log amounts to showing that log ..1  s/x C sy/  .1  s/ log .x/ C s log .y/; for all x; y > 0 and 0 < s < 1. Letting s D 1q and 1  s D 1p , we have p; q > 0 such that 1p C 1q D 1. Then, the fact that log is an increasing function that takes products

10.10 Two Important Applications

443

into sums shows that the validity of the above inequality is equivalent to that of 



y x C p q

 .x/1=p .y/1=q ;

(10.73)

for all x; y > 0 and all p; q > 0 such that 1p C 1q D 1. In order to establish (10.73), we first observe that 

x y C p q



Z

C1

D

t

e t

y x p C q 1

Z

C1

dt D

0

 y1 x1 et=p t p  et=q t p dt:

0 x1

Therefore, letting f .t/ D et=p t p , g.t/ D et=q t inequality (cf. Problem 8, page 436), we get 

y x C p q



Z

Z

C1

D

f .t/g.t/dt 

0

Z

C1

D

et tx1 dt

and applying Hölder’s

1=p Z

C1

f .t/p dt

0

1=p Z

0

y1 q

C1

et ty1 dt

1=q

C1

g.t/q dt 0

1=q

0

D .x/1=p .y/1=q : Remark 10.82 One can actually show that is infinitely differentiable, and that the expression for its kth derivative can be computed by differentiating under the integral that defines . In particular, we must have 0

.x/ D

Z

C1

et tx1 log t dt:

0

The convergence of the improper integral at the right hand side above is the object of Problem 5, and the proof of the continuous differentiability of the Gamma function, together with the above formula for 0 .x/, will be the object of Problems 18 and 19, page 471.

Problems: Section 10.10 1. For x0 ¤ 0, compute the length of the portion of the catenary situated between the points of abscissas 0 and x0 . 2. Let E be an ellipse of major axis AA0 and minor axis BB0 , with AA0 D 2a and BB0 D 2b. If we choose a cartesian system in which A0 .a; 0/ and B0 .0; b/, it is 2 2 well known that E has equation ax2 C by2 D 1. In this respect, do the following items:

444

10 Riemann’s Integral

p (a) If f W Œa; a ! R is given by f .x/ D ba a2  x2 , show that the graph of f is the portion of E situated in the upper halfplane. Then, conclude that the length of E is given by twice the value of the improper integral Z

s

a

1C

a

b 2 x2 dx:  x2 /

a2 .a2

p (b) Let c D a2  b2 and x D a cos t, with 0  t  . Use the formula of integration by substitution to show that the length of E is given by Z 2b



r 1C

0

 c 2 b

sin2 t dt:

(10.74)

The definite integral of item (b) cannot be computed exactly. More generally, it is possible to show (albeit this is well beyond the scope of these notes) that the indefinite integral Z p 1 C  sin2 t dt;

(10.75)

where  is a positive real, cannot be explicitly computed in terms of elementary functions.13 Thanks to (10.74), one says that (10.75) is an elliptic function or a highly transcendental function. Such functions were brought into prominence by the German mathematician of the XIX century Carl Gustav Jacob Jacobi, and for this reason (10.75) is also known as Jacobi’s function. 3. We are given in the plane a straight line r and a circle of radius 1, such that r and are tangent to each other. The cycloid generated by (cf. Fig. 10.12) is the curve described by a point P on as rolls along r without sliding. In this respect, do the following items: (a) Fix a position of and let O denote its point of tangency with r at this position. Then, choose a cartesian system xOy having r as horizontal axis

P Γ

A t O

t

T

Fig. 10.12 The cycloid generated by

13

A proof of this fact can be found in [12].

π

2π

x

10.10 Two Important Applications

445

and such that is in the upper half-plane. Show that, after rolls in the positive direction (with respect to the horizontal axis) by t radians starting from O, this point will be at position P.x.t/; y.t//, with x.t/ D t  sin t and y.t/ D 1  cos t. (b) Note that function t 7! x.t/, from Œ0; 2 into itself, is a differentiable bijection with inverse x 7! t.x/ differentiable in .0; 2/. Therefore, if f W Œ0; 2 ! R is the composite f .x/ D y.t.x//, the graph of f is the portion of the cycloid situated in the vertical strip of the cartesian plane defined by the inequalities 0  x  2. Such a portion is called a step of the cycloid. Compute the length of it. p R C1 2 4. It is possible to show that 0 es ds D 2 (see, for instance, Chap. 8 of p [20]). Use this fact to compute . 12 / D . R C1 5. Show that, for x > 0, the integral 0 et tx1 log t dt is absolutely convergent. 6. Let k > 1 and n1 ; n2 : : : ; nk be naturals such that k j .n1 C n2 C    C nk /. Prove that   p n1 C n2 C    C nk Š  k n1 Šn2 Š : : : nk Š: k Then, if k is odd, conclude that   p kC1 k Š  1Š2Š : : : kŠ: 2

Chapter 11

Series of Functions

This last chapter presents the adequate notion of convergence for sequences and series of functions, with an emphasis on the study of power series. We start by examining a power series naturally attached to an infinitely differentiable function, called its Taylor series. Then, in Sects. 11.2 and 11.3 we discuss the basic results on uniformly convergent series of functions and on power series. Finally, in Sect. 11.4, we present some applications of the theory to sequences defined by linear recurrence relations.

11.1 Taylor Series This section begins by introducing another important generalization of Lagrange’s MVT, namely, Taylor formula1 with Lagrange remainder. In order to properly state it, recall (cf. Sect. 9.3) that a function f W Œa; b ! R is n times continuously differentiable in Œa; b if f is n times differentiable in Œa; b and f .n/ W Œa; b ! R is continuous. Theorem 11.1 (Taylor) Let I be an interval and f W I ! R be a function n times differentiable in I. Given distinct x0 ; x 2 I, there exists c between x0 and x such that f .x/ D

n1 .k/ X f .x0 / kD0

1

kŠ

.x  x0 /k C

f .n/ .c/ .x  x0 /n : nŠ

(11.1)

After Brook Taylor, English mathematician of the XVIII century.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6_11

447

448

11 Series of Functions

Proof Firstly, assume that x0 < x and let g W Œx0 ; x ! R be given by g.t/ D f .x/ 

n1 .k/ X f .t/

kŠ

kD0

.x  t/k 

˛ .x  t/n ; nŠ

with ˛ 2 R chosen in such a way that g.x0 / D 0 (evidently, such a choice is always possible). Since f is n times differentiable in I and Œx0 ; x  I, several applications of the results of Problem 3, page 300, guarantee that g is differentiable in Œx0 ; x. Since g.x0 / D g.x/ D 0, Rôlle’s theorem assures the existence of c 2 .x0 ; x/ such that g0 .c/ D 0. On the other hand, a simple computation furnishes ˛  f .n/ .t/ .x  t/n1 ; .n  1/Š

g0 .t/ D

so that for c 2 .x0 ; x/ we have g0 .c/ D 0 if and only if ˛ D f .n/ .c/. Hence, 0 D g.x0 / D f .x/ 

n1 .k/ X f .x0 /

kŠ

kD0

.x  x0 /k 

f .n/ .c/ .x  x0 /n ; nŠ

as we wished to show. Now, let x < x0 and J D x0 C x  I D fx0 C x  tI t 2 Ig. Then J is an interval and I D x0 CxJ, so that we can define h W J ! R by h.s/ D f .x0 Cxs/. Corollary 9.42 assures that h is n times differentiable in J, with h.k/.s/ D .1/k f .k/ .x0 C x  s/ for 0  k  n. Hence, by applying (11.1) to h and to s0 < s in J, we obtain h.s/ D

n1 .k/ X h .s0 / kD0

kŠ

.s  s0 /k C

h.n/ .c/ .s  s0 /n nŠ

for some c 2 .s0 ; s/. In turn, this gives f .x0 C x  s/ D

n1 X .1/k f .k/ .x0 C x  s0 / kD0

kŠ

.s  s0 /k C

.1/n f .n/ .c/ .s  s0 /n nŠ

for some c 2 .s0 ; s/. Finally, letting s0 D x and s D x0 (so that s0 < s), we get (11.1) for x < x0 . t u If f W I ! R is a twice differentiable function, then, for distinct x0 ; x 2 I, Taylor’s formula with Lagrange remainder guarantees that 00

f .x/ D f .x0 / C f 0 .x0 /.x  x0 / C for some c between x0 and x.

f .c/ .x  x0 /2 2

(11.2)

11.1 Taylor Series

449

Fig. 11.1 The trapezium rule

f

a = x0

xk−1

xk

b = xn

In what follows, given a positive and twice differentiable function f W Œa; b ! R, we use the above relation to estimate the difference between the area of the region R under the graph of f and that of the polygonal approximation of R by the union of the gray trapezoids of Fig. 11.1. For this reason, the coming result is known in mathematical literature as the trapezium rule. Example 11.2 Let f W Œa; b ! R be a twice differentiable (but not necessarily positive) function. If fa D x0 < x1 <    < xn D bg is a uniform partition of interval Œa; b, then ˇZ ˇ  n ˇ b X 1 b  a ˇˇ .b  a/3 ˇ .f .xk / C f .xk1 //  sup jf 00 j: f .x/ dx  ˇ ˇ 2 ˇ ˇ a 2 n 4n Œa;b kD1 Proof For 1  k  n, let gk W Œxk1 ; xk  ! R be given by Z gk .x/ D

1 f .t/dt  .f .x/ C f .xk1 //.x  xk1 /: 2 xk1 x

Letting  denote the expression at the right hand side of the stated inequality, the additivity of the integral, together with the fact that xk  xk1 D ba n for 1  k  n, gives ˇ n Z ˇˇ ˇX xk 1 ˇ ˇ  Dˇ f .x/ dx  .f .xk / C f .xk1 //.xk  xk1 / ˇ ˇ ˇ 2 xk1 kD1 ˇ ˇ n n ˇ X ˇX ˇ ˇ gk .xk /ˇ  jgk .xk /j; Dˇ ˇ ˇ kD1

(11.3)

kD1

where we used triangle inequality in the last passage above. Now, since f is twice differentiable, the same happens with gk . Moreover, gk .xk1 / D 0 and easy computations furnish 1 1 g0k .x/ D f .x/  f 0 .x/.x  xk1 /  .f .x/ C f .xk1 // 2 2

450

11 Series of Functions

and 1 g00k .x/ D  f 00 .x/.x  xk1 /; 2 so that g0k .xk1 / D g00k .xk1 / D 0. Hence, Taylor’s formula with Lagrange remainder guarantees the existence of ck 2 .xk1 ; xk / such that gk .xk / D gk .xk1 / C g0k .xk1 /.xk  xk1 / C

g00k .ck / .xk  xk1 /2 2

1 D  f 00 .ck /.ck  xk1 /.xk  xk1 /2 : 4 However, since xk  xk1 D jgk .xk /j D 

ba n ,

it follows from the above computations that

1 00 jf .ck /jjck  xk1 j.xk  xk1 /2 4 1 00 .b  a/3 : jf .ck /jjxk  xk1 j3 D jf 00 .ck /j 4 4n3

Finally, by substituting this last expression in estimate (11.3) for , we get  

n X kD1



jgk .xk /j 

n X

jf 00 .ck /j

kD1

n .b  a/3 .b  a/3 X 00 D jf .ck /j 4n3 4n3 kD1

.b  a/3 .b  a/3  n sup jf 00 j D  sup jf 00 j: 3 2 4n 4n Œa;b Œa;b t u

In words, the result of the previous example gives a numerical approximation, with controlled error, for the computation of an integral. As the discussion of the computation of the length of an ellipse shows (cf. Problem 2, page 443), sometimes this is the best one can get. In this respect, see also Problem 3 of this section. For more on the use of Calculus methods to get useful numerical approximations, see Chap. 15 of [2] or Part B of [7]. Back to the development of the theory, let f W I ! R be infinitely differentiable. For x0 2 I, we say that X f .k/ .x0 / k0

kŠ

.x  x0 /k

is the Taylor series of f at x0 . The coming result gives a necessary and sufficient condition for the Taylor series of f at x0 to converge to f in I.

11.1 Taylor Series

451

Proposition 11.3 Let I be an interval and f W I ! R be an infinitely differentiable function. If there exists a constant C  0 such that jf .n/ .x/j  Cn for every n  1 and every x 2 I, then, given x0 2 I, we have f .x/ D

X f .k/ .x0 / k0

kŠ

.x  x0 /k

for every x 2 I. Proof Fixed x 2 I and n 2 N, it follows from Taylor formula with Lagrange remainder that f .x/ D

n1 .k/ X f .x0 /

kŠ

kD0

.x  x0 /k C

f .n/ .c/ .x  x0 /n nŠ

(11.4)

for some c between x0 and x. Now, ˇ .n/ ˇ ˇ f .c/ ˇ .Cjx  x0 j/n n nˇ ˇ .x  x / ! 0; 0 ˇ nŠ ˇ nŠ where we used the result of Problema 3, page 218, in the last passage above. Therefore, it suffices to let n ! C1 in (11.4) to get the desired result. t u Example 11.4 Since j sin.2j/ xj D j sin xj  1 and j sin.2j1/ xj D j cos xj  1, the previous proposition gives sin x D

X sin.k/ 0 k0

kŠ

xk D

X .1/j1 x2j1 .2j  1/Š j1

for every x 2 R. Analogously, cos x D

X .1/j j0

.2j/Š

x2j ;

for every x 2 R. In Sect. 11.5, these series expansions will be the departure points for the rigorous construction of the sine and cosine functions. We now apply Taylor formula with Lagrange remainder to show that the Taylor series of the exponential function converges to such a function along the whole real line. Theorem 11.5 For x 2 R, one has ex D

X 1 xk : kŠ k0

(11.5)

452

11 Series of Functions

Proof For a fixed x 2 R, it follows from Theorem 11.1 (with x0 D 0) that ex D

n1 k X x kD0

kŠ

xn ; nŠ

C ec 

(11.6)

for some c between 0 and x. Now, using the fact that the exponential function is increasing, together with the result of Problem 3, page 218, we obtain ˇ c ˇ n n ˇ e nˇ n ˇ x ˇ D ec  jxj  maxfe0 ; ex g  jxj ! 0: ˇ nŠ ˇ nŠ nŠ n

Hence, the squeezing principle gives limn!C1 ec  xnŠ D 0. Finally, letting n ! C1 in (11.6), we get the desired result. t u Note that the previous result largely generalizes Example 7.41. For future reference, we observe that changing x by ax in (11.5), we obtain eax D

X ak k0

kŠ

xk

(11.7)

for every x 2 R. .n/ Sometimes, estimates of the error f nŠ.c/ .x  x0 /n in (11.1) as simple as those we did above do not suffice to guarantee that the Taylor series of an infinitely differentiable function converges to such a function at all points it could do. We now look at such an example. Example 11.6 Function x 7! log.1 C x/ is defined in the whole interval .1; 1/ and is infinitely differentiable there. Letting f .x/ D log.1 C x/ for jxj < 1, it’s k1 immediate to verify that f .k/ .x/ D .1/.1Cx/.k1/Š for every k 2 N. Hence, f .k/ .0/ D k .1/k1 .k  1/Š, and it immediately follows that the Taylor series of log.1 C x/ centered at 0 is given by X .1/k1 k1

k

xk :

(11.8)

ˇ ˇ P k1 ˇ ˇ Since ˇ .1/k xk ˇ  jxjk and k1 jxjk converges when jxj < 1, the comparison test for series assures that (11.8) converges whenever x 2 .1; 1/. Nevertheless, if we try to estimate the error in (11.1) as we did before, we will only be able to conclude that log.1 C x/ D

X .1/k1 k1

k

xk

11.1 Taylor Series

453

for x 2 Π12 ; 1/. Indeed, it follows from (11.1) that, for 0 < jxj < 1, we have log.1 C x/ D

n1 X .1/k1

k

kD0

xk C

.1/n1  xn n.1 C c/n

for some c between 0 and x. If 0 < x < 1, then 0 < c < x < 1 and we get ˇ ˇ ˇ .1/n1 ˇ nˇ n n ˇ ˇ n.1 C c/n  x ˇ  x ! 0: If 1 < x < 0, then 1 < x < c < 0, so that 1 C c > 1 C x > 0. Therefore, ˇ ˇ   ˇ .1/n1 ˇ 1 jxjn jxjn jxj n 1 1 nˇ ˇ D    x  D : ˇ n.1 C c/n ˇ n .1 C c/n n .1 C x/n n 1Cx For 1 < x < 0, one easily concludes that interval, the last estimate above gives

jxj 1Cx

< 1 ,  12  x < 0; yet in this

ˇ ˇ ˇ 1 n ˇ .1/n1 nˇ ˇ  x ˇ  n ! 0: ˇ n.1 C c/n On the other hand, for 1 < x <  12 we have 1 n



jxj 1Cx

n

jxj 1Cx

> 1, so that

n

! C1I

ˇ ˇ   n1 ˇ ˇ hence, in the interval  1;  12 we are not able to conclude that ˇ .1/  xn ˇ ! 0 n.1Cc/n when n ! C1. We shall remedy situations like that of the previous example in Sect. 11.3. For the time being, let us show that it may well happen that the Taylor series of an infinitely differentiable function f W R ! R, centered at some x0 2 R, does not converge to f in any open interval centered at x0 . Example 11.7 Let f W R ! R be given by  f .x/ D

e1=x ; if x > 0 : 0; if x  0

Then, f is infinitely differentiable in R, with f .k/ .0/ D 0 for every k 2 ZC . In particular, the Taylor series of f centered at 0 vanishes identically.

454

11 Series of Functions

Proof Evidently, limx!0C e1=x D 0, so that f is continuous at 0, thus, in the whole real line. Also evidently, f is infinitely differentiable in .0; C1/ and in .1; 0/, with f .n/ .x/ D 0 if x < 0 and n 2 ZC . We claim that, for n 2 ZC , there exists a polynomial pn such that f .n/ .x/ D pn .1=x/e1=x

(11.9)

for every x > 0. Let’s check this by induction on n  0, the case n D 0 being obvious. By induction hypothesis, assume that for some integer k  0 there exists a polynomial pk such that f .k/ .x/ D pk .1=x/e1=x for every x > 0. Then, the chain rule gives, for x > 0, f

.kC1/

1 .x/ D 2 x

     1 1 0  pk e1=x D pkC1 .1=x/e1=x ; pk x x

with pkC1 .x/ D x2 .pk .x/  p0k .x//, so that pkC1 is again a polynomial. Now that we have (11.9), let’s make one more induction to prove that f is infinitely differentiable at 0, with f .n/ .0/ D 0 for every n 2 ZC . By induction hypothesis, assume that f is k times differentiable at 0, with f .k/ .0/ D 0. Since f is infinitely differentiable in Rnf0g, in order to show that f is kC1 times differentiable at 0, with f .kC1/ .0/ D 0, it suffices to show that f .kC1/ .0/ D 0. To this end, note that for h > 0 we have f .k/ .h/  f .k/ .0/ pk .1=h/e1=h D D qk .1=h/e1=h ; h h where qk .x/ D xpk .x/, a polynomial; then, again by Theorem 10.54, we have f .k/ .h/  f .k/ .0/ qk .1=h/ qk .y/ D lim D lim D 0: 1=h h!0C h!0C y!C1 ey h e lim

.k/

On the other hand, for h < 0 we have limh!0 f .h/f h f .k/ .0/ D 0. Therefore, f .kC1/ .0/ exists and equals 0.

.k/ .0/

D 0, since f .k/ .h/ D t u

Problems: Section 11.1 1. Let I be an open interval and f W I ! R be convex and twice differentiable in I. If x0 2 I and r denotes the tangent to the graph of f at the point .x0 ; f .x0 //, show that no point on the graph of f lies under r. 2. Let I be an open interval, f W I ! R be n times continuously differentiable and x0 2 I be such that f 0 .x0 / D f 00 .x0 / D    D f .n1/ .x0 / D 0. If n is even and

11.1 Taylor Series

455

f .n/ .x0 / > 0 (resp. f .n/ .x0 / < 0), show that x0 is a point of strict local minimum (resp. maximum) for f , i.e., x 2 I n fx0 g sufficiently close to x0 ) f .x/ > f .x0 / .resp.; f .x/ < f .x0 //: 3. Let `.E/ be the length of the ellipse E of major axis 2a, minor axis 2b and focal distance 2c. Show that, for every n 2 N, one has ˇ 0 1ˇ s ˇ   ˇ n1 X ˇ j Aˇˇ 2. C 1/b 3 ˇ`.E/  2b @1 C 1 C  2 sin2 ; ˇ ˇ n n n2 ˇ ˇ jD1 where  D bc . 4. Obtain the Taylor series of the functions sinh and cosh. In each case, show that it converges to the corresponding function in the whole real line. 5. Let I be an interval and f W I ! R be n times differentiable and such that f .n/ is constant. Prove that f either vanishes identically or is a polynomial of degree at most n. More precisely, if x; x0 2 I, show that f .x/ D

n X f .j/ .x0 / jD0

jŠ

.x  x0 /j :

6. Use (11.6) to give another proof of Theorem 10.54. The next problem revisits the analysis of Newton’s method for numerical approximations of roots of differentiable functions (cf. Problem 9, page 300). 7. Let f W Œa; b ! R be continuous in Œa; b and twice continuously differentiable in .a; b/, with f 0 ; f 00 > 0 in .a; b/. Assume that f .a/ < 0 < f .b/, and let ˛ be the only root of f in the interval Œa; b. Do the following items: (a) If ˇ 2 .˛; b and  D ˇ 

f .ˇ/ f 0 .ˇ/ ,

show that ˛   < ˇ.

(b) If .an /n1 is such that a1 2 .˛; b and anC1 D an  ff0.a.ann// for every n  1, show that .an /n1 converges and an ! ˛ as n ! C1. (c) Refine the analysis of item (b) in the following way: (i) Show that there exists n 2 .˛; an / such that f .an / D f 0 .an /.an  ˛/  1 00 f .n /.an  ˛/2 . 2 00 f 00 .n / n/ 2 2 (ii) Conclude that 0  anC1  ˛ D 2ff 0. .an / .an  ˛/  2f 0 .n / .an  ˛/ . (iii) Suppose that a < c < d < b satisfy d  c < 1 and f .c/ < 0 < f .d/. 00 If  D maxŒc;d 2ff 0 and we start with a1 D d, use (ii) to successively n conclude that 0  anC1  ˛  .an  ˛/2 and 0  an  ˛  n .d  c/2 for every n  1. Yet with respect to the previous problem, note that Problem 10, page 219, n guarantees that n .d  c/2 ! 0 as n ! C1. Hence, the result of item (iii) above estimates the error with which an approaches ˛. Note also that we can get results similar to those of the previous problem by assuming that f 0 > 0 and

456

11 Series of Functions

f 00 < 0 in .a; b/; it suffices to start with a1 2 Œa; ˛/. The same is true if we assume that f 0 < 0 and f 00 < 0 (resp. f 00 > 0) in .a; b/; it suffices to start with a1 2 .˛; b (resp. a1 2 Œa; ˛/). 8. The polynomial f .x/ D x3  2x  5 is such that f .2/ D 1 and f . 52 / D 92 . Therefore, the IVT guarantees the existence of a root ˛ 2 .2; 52 / for f . Apply the results of the previous problem to estimate ˛ with five correct decimal places.

11.2 Series of Functions The material on this section is a prelude to the study of power series and extends, to sequences and series of functions, some concepts and results of Sects. 7.2 and 7.4. We start by defining the concept of limit of a sequence of functions. In all that follows, unless stated otherwise, I denotes an interval. Definition 11.8 For each n 2 N, let a function fn W I ! R be given. If limn!C1 fn .x/ exists for each x 2 I, we define the pointwise limit of the sequence of functions .fn /n1 as the function f W I ! R such that f .x/ D lim fn .x/ n!C1

(11.10)

for every x 2 I. In this case, we also say that .fn /n1 is a pointwise convergent sequence of functions, or that .fn /n1 converges pointwise to f . The pointwise limit of a sequence fn W I ! R of functions, if exists, is unique. Indeed, if .fn /n1 converges pointwise to f W I ! R, it follows from (11.10) that for each x 2 I the sequence of real numbers .fn .x//n1 converges to f .x/; hence, the uniqueness of the limit of a convergent sequence of reals (cf. Proposition 7.14) assures that there exists only one possible value for f .x/. Example 11.9 We collect here two examples illustrating the fact that the pointwise limit of a pointwise convergent sequence of functions is not necessarily a well behaved function. (a) For each n 2 N, let fn W Œ0; 1 ! R be such that fn .x/ D xn for every x 2 Œ0; 1. It follows from Example 7.12 that the pointwise limit of .fn /n1 exists and is the function f W Œ0; 1 ! R such that  f .x/ D

0; if x 2 Œ0; 1/ : 1; if x D 1

In particular, this example shows that the (pointwise) limit of a pointwise convergent sequence of continuous (actually, even infinitely differentiable) functions can be discontinuous.

11.2 Series of Functions

457

(b) For each n 2 N, let fn W Œ0; 1 ! R be given by fn .x/ D nx.1  x2 /n for every x 2 Œ0; 1. Since 0 < x < 1 ) 0 < 1  x2 < 1, Problem 4, page 218, assures that limn!C1 nx.1  x2 /n D 0 if 0 < x < 1. Also, since fn .0/ D fn .1/ D 0 for every n 2 N, we conclude that the pointwise limit of the sequence .fn /n1 exists and equals the function f W Œ0; 1 ! R that vanishes identically in Œ0; 1; R1 in particular, f is integrable, with 0 f .x/dx D 0. Now, note that the FTC gives Z

1 0

Hence, limn!C1

fn .x/dx D 

R1

0 fn .x/dx

D limn!C1

Z lim

n.1  x2 /nC1 ˇˇxD1 n : D ˇ 2.n C 1/ xD0 2.n C 1/

n!C1 0

1

n 2.nC1/

Z fn .x/dx ¤

1

D 12 , so that

lim fn .x/dx:

0 n!C1

We now introduce a notion of convergence for sequences of functions which is stronger than that of pointwise convergence. As we shall see right after the coming definition, under such more restrictive notion of convergence pathologies like those of the previous will not take place. Definition 11.10 A sequence .fn /n1 of functions fn W I ! R converges uniformly for a function f W I ! R if the following condition is satisfied: given  > 0, there exists n0 2 N such that n  n0 ) jfn .x/  f .x/j < ; 8 x 2 I:

(11.11)

In words, a sequence .fn /n1 of real functions defined in I converges uniformly to f W I ! R if the choice of a sufficiently large index n (n  n0 , in the notations of the former definition) makes jfn .x/  f .x/j <  for every x 2 I. x n Example 11.11 For n 2 N, let fn W R ! R be given by fn .x/ D . 1Cx 2 / . Then, .fn /n1 converges uniformly to the function that vanishes identically in R. jxj 1 1 Proof Since 1Cx 2  2 for every x 2 R, we have jfn .x/  0j D jfn .x/j  2n for every x 2 R. In view of this inequality and given  > 0, choose n0 2 N such that 21n <  for n  n0 . Then, for n  n0 we have jfn .x/  0j <  for every x 2 R, as wished. u t

The coming corollary is an immediate consequence of Definition 11.10. Corollary 11.12 If a sequence .fn /n1 of functions fn W I ! R converges uniformly to f W I ! R, then .fn /n1 converges pointwise to f . The concept of uniform convergence has the following geometric interpretation: since jfn .x/  f .x/j <  , f .x/   < fn .x/ < f .x/ C ;

458

11 Series of Functions

Fig. 11.2 Geometric interpretation of uniform converge

y f+ f f− fn a

b

x

we conclude that .fn /n1 converges uniformly to f W I ! R if, given arbitrarily  > 0, there exists n0 2 N such that, for n  n0 , the graph of fn is contained in the strip of the plane of width 2 centered in the graph of f (the gray region of Fig. 11.2). The actual importance of the concept of uniform convergence lies in the coming Convergence Theorems 11.13 and 11.14. In particular, comparing such results with the sequences of functions collected in Example 11.9, we conclude that the converse of Corollary 11.12 is not necessarily true. In other words, we conclude that there exist sequences of functions fn W I ! R such that .fn /n1 converges pointwise, but not uniformly, to some function f W I ! R. Theorem 11.13 If a sequence .fn /n1 of continuous functions fn W I ! R converges uniformly to f W I ! R, then f is continuous. Proof Given x0 2 I and n 2 N, the triangle inequality gives jf .x/  f .x0 /j  jf .x/  fn .x/j C jfn .x/  fn .x0 /j C jfn .x0 /  f .x0 /j: Now, for a given  > 0, the uniform convergence of .fn /n1 to f guarantees the existence of n0 2 N such that n  n0 ) jfn .x/  f .x/j < 4 for every x 2 I. Hence, by writing the previous inequality for n D n0 we get jf .x/  f .x0 /j  2 

  C jfn0 .x/  fn0 .x0 /j D C jfn0 .x/  fn0 .x0 /j: 4 2

On the other hand, the continuity of fn0 assures the existence of ı > 0 such that x 2 I; jx  x0 j < ı ) jfn0 .x/  fn0 .x0 /j
0, the uniform convergence of .fn /n1 to f gives n0 2 N such that n  n0 ) jfn .t/  f .t/j 

 ba

for every t 2 Œa; b. Hence, for n  n0 and x 2 Œa; b, the above inequalities allow us to estimate Z x    jgn .x/  g.x/j  dt D  .x  a/   .b  a/ D : b  a b  a b  a a For the second part, recall that uniform convergence implies pointwise convergence. Therefore, gn .b/ ! g.b/ as n ! C1, which is the same as (11.12). t u Problem 5 extends the above result to the realm of integrable functions. Actually, the following important remark holds true. Remark 11.15 In the notations of the previous result, a much more general result is available. In order to state it properly, let I  R be an interval with endpoints ˛ and ˇ (in the sense of Sect. 10.9) and fn W I ! R be given integrable functions (in the improper sense, if I or f is unbounded), with .fn /n1 converging pointwise to an integrable function f W I ! R. If there exists an integrable function F W I ! Œ0; C1/ such that jfn .x/j  F.x/; 8 x 2 I; n 2 N; then it is possible to show that Z

ˇ ˛

Z f .x/dx D lim

n!C1 ˛

ˇ

fn .x/dx:

(11.13)

460

11 Series of Functions

This is the content of Lebesgue’s dominated convergence theorem (we abbreviate DCT), whose proof is beyond the scope of these notes. For the interested reader, we refer to [20] or [27]. Also with respect to Lebesgue’s DCT, it is worth observing that, if I D Œa; b, it suffices to assume that there exists L > 0 such that jfn .x/j  L; 8 x 2 I; n 2 N: On the other hand, item (b) of Example 11.9 shows that such a condition is necessary for Lebesgue’s DCT to hold true. Finally, Problem 4 shows that proving (11.12) in a particular case and without the aid of Lebesgue’s DCT can be a somewhat difficult task. Problem 18 asks you to prove a very important consequence of Lebesgue’s DCT. We continue our study of uniform convergence by presenting the famous Weierstrass approximation theorem, that states that every continuous function defined in a closed and bounded interval can be uniformly approximated by a sequence of polynomials. Theorem 11.16 (Weierstrass) Every continuous function f W Œa; b ! R is the uniform limit of a sequence of polynomial functions pn W Œa; b ! R. Before we jump into the proof, it is worth to do some heuristics to motivate it. For n 2 N, the binomial theorem gives 

f .x/ D f .x/ x C .1  x/

n

! n X n k D f .x/ x .1  x/nk k kD0

Letting a0 D a < a1 < a2 < : : : < an D b, with ak D a C nk .b  a/, the uniform continuity of f guarantees that, for large n, the values f .x/ for x 2 Œak1 ; ak  do not differ too much from f .ak /. Since every x 2 Œa; b belongs to one of the intervals Œak1 ; ak , we expect that ! n k f .x/ Š f .ak / x .1  x/nk k kD0 n X

for large n, and the right hand side is a polynomial function. This is precisely what we shall prove. Proof To make the forthcoming computations a little simpler, assume first that a D 0 and b D 1, and let ! n k n X xk .1  x/nk : f pn .x/ D k n kD0

11.2 Series of Functions

461

Since f is uniformly continuous in Œ0; 1, given  > 0 we can choose ı > 0 such that jf .x/  f .y/j <  whenever x; y 2 Œ0; 1 satisfy jx  yj < ı. Letting M D maxfjf .t/jI t 2 Œ0; 1g, we have for a fixed x 2 Œ0; 1 that ! n  ˇ ˇX  k n ˇ ˇ jf .x/  pn .x/j D ˇ f .x/  f xk .1  x/nk ˇ n k kD0 !  k ˇ n X ˇˇ ˇ  xk .1  x/nk ˇf .x/  f ˇ k n 0kn jx nk j 0 we can find n0 2 N such that jf 0 .t/  qn .t/j <  for every t 2 Œa; b and every n > n0 . Therefore, for n > n0 , we have Z

b

jf .x/  pn .x/j 

dt D .b  a/ a

for every x 2 Œa; b.

t u

We now turn our attention to the study of series of functions. Definition 11.18 Given P a sequence .fn /n1 of functions fn W I ! R, we define the series of functions k1 fP k as a shorthand for the sequence .sn /n1 of functions sn W I ! R, such that sn D nkD1 fk for every n  1. P In the notations of the former definition, we say that k1 fk converges pointwise (resp. uniformly) in I to f W I ! R if the sequence .sn /n1 converges pointwise (resp. uniformly) to f . In this case, we write f D

X

fk

k1

and note that f .x/ D

P

k1 fk .x/

for every x 2 I.

464

11 Series of Functions

We shall generally apply Theorems 11.13 and 11.14 to uniformly convergent series of functions. In this sense, the coming corollary is of paramount importance for us. Note that, in words, its item (b) says that uniformly convergent series of continuous functions can be integrated termwise. CorollaryP 11.19 For each n  1, let fn W Œa; b ! R be a continuous function. If the series k1 fk converges uniformly to f W Œa; b ! R, then: (a) Rf isP continuous. P Rb b (b) a k1 fk .x/dx D k1 a fk .x/dx. P Proof (a) If sn D nkD1 fk , then sn is a finite sum of continuous functions, so that it is itself continuous. Since sn ! f uniformly, Theorem 11.13 guarantees that f is a continuous function. (b) Since sn ! f uniformly, Theorem 11.14, together with the additivity of the integral, gives Z

Z

b a

n!C1 a

D lim

n!C1

Z

b

f .x/dx D lim

n!C1 a

n Z X kD1

b

sn .x/dx D lim

a

b

fk .x/dx D

XZ k1

n X

fk .x/dx

kD1 b

fk .x/dx: a

t u The former corollary will only be useful if we have an efficient way of finding out, in cases of interest, whether or not a given series of functions is uniformly convergent. The coming result, known in mathematical literature as Weierstrass Mtest, provides a simple sufficient condition for the uniform convergence of a series of functions. Note that the “M” stands for majorization. P Theorem 11.20 (Weierstrass M-Test) Let k1 fk be a series of functions defined in an interval I and satisfying the following conditions: (a) For each k P  1, there exists Mk > 0 such that jfk .x/j  Mk for every x 2 I. (b) The series k1 Mk converges. P Then, the series of functions k1 fk converges uniformly in I. In particular, if all of P the fk ’s are continuous in I, then so is k1 fk . P Proof Given x 2 I, since jfk .x/j  Mk for every n  1 and k1 Mk converges, the comparison test for series of real P numbers (cf. Proposition 7.44) guarantees the absolute convergence of the series k1 fk .x/. Hence, we get a well defined function f W I ! R such that f .x/ D

X k1

fk .x/; 8 x 2 I:

11.2 Series of Functions

465

P P In order to establish the uniform convergence of k1 fk , let sn D nkD1 fk . For x 2 I and n 2 N, we have ˇ ˇ ˇX ˇ X X ˇ ˇ fk .x/ˇ  jfk .x/j  Mk : (11.15) jf .x/  sn .x/j D ˇ ˇ ˇ k>n

k>n

k>n

Pn  P Now, given  > 0, the convergence of the sequence kD1 Mk n1 to k1 Mk assures the existence of n0 2 N such that ˇ ˇ ˇ ˇ n X ˇX ˇ ˇ ˇ M  M k k ˇ < ; 8 n  n0 : ˇ ˇ k1 ˇ kD1 ˇP ˇ Hence, ˇ k>n Mk ˇ <  for every n  n0 . Back to (11.15) we conclude that jf .x/  sn .x/j 

X

Mk < 

k>n

for n  n0 and every x 2PI. Therefore, .sn /n1 converges uniformly to f , and this is the same as saying that k1 fk converges uniformly to f . The last part follows at once from Theorem 11.13. t u Example 11.21 The Weierstrass M-test can be used to show that the series of P functions k1 k12 sin.kx/ converges uniformly in R. Indeed, on the one hand, since j sin.kx/j  1 for every k  1 and x 2 R, we get ˇ ˇ ˇ1 ˇ ˇ sin.kx/ˇ  1 ˇ k2 ˇ k2 for every k  1 and x 2 R. On the other, just note that the series convergent.

P

1 k1 k2

is

Accidentally, the previous example also shows that, given a uniformly P P convergent series k1 fk of differentiable functions fn W I ! R, the series k1 fk0 of their derivatives is not necessarily convergent, even pointwise. Indeed,  X X d 1 1 cos.kx/; sin.kx/ D 2 dx k k k1 k1 which doesn’t converge pointwise in any real x of the form x D 2`, with ` 2 Z. We finish this section by using the material developed here to give an example of a continuous function which is not differentiable at any point. For what comes next, the reader might find it helpful to read the statement of Example 8.23 again. Up to details, we follow the discussion in Sect. 9.7 of [9].

466

11 Series of Functions

Example 11.22 For y 2 R, let d.y/ denote the distance from x to the nearest integer. If f W R ! R is given by f .x/ D

X  9 k d.10k x/; 10 k1

then f is well defined and continuous, albeit not differentiable at any x 2 R. Proof Example 8.23 guarantees the continuity of x 7! d.10k x/, for every k  1.  9 k  9 k P  9 k d.10k x/  12 10 and k1 10 converges, the On the other hand, since 0  10 Weierstrass M-test assures the well definiteness and continuity of f . Fix x > 0 (the case of x  0 is analogous and will be left to the reader). We shall prove that f is not differentiable at x by constructing sequences .an /n2 and .bn /n2 n such that an  x < bn and an ; bn ! x, but ˇ f .b /  f .a / ˇ n n ˇ ˇ n ˇ ˇ ! C1: bn  an This will contradict an obvious slight modification of Problem 8, page 300 (by allowing an  x < bn , instead of an < x < bn , there). Given x > 0 and an integer n  2, let mn 2 N be such that mn  10n x < mn C 1. If an D 10n mn and bn D 10n .mn C 1/, we obviously have an  x < bn and bn  an D 10nˇ. If k  n is also integer, then 10k an ; 10k bn 2 N, so that ˇ ˇd.10k bn /  d.10k an /ˇ D 0; on the other hand, if k < n, then Example 8.23 gives ˇ ˇ ˇd.10k bn /  d.10k an /ˇ  10kn :

(11.16)

Therefore, f .bn /  f .an / D

n1  X 9 k  d.10k bn /  d.10k an / : 10 kD0

(11.17)

n C1 Since 10n1 an D m10n and 10n1 bn D m by separately considering the cases ˇ 10 , 1 ˇ 1 0 < x < 1 and x  1 one easily sees that ˇd.10 bn  d.101 an /ˇ D 10 . Therefore, the triangle inequality in (11.17), together with (11.16), gives

11.2 Series of Functions

467

jf .bn /  f .an /j 

n2 ˇˇ 1  9 n1 ˇˇ X  9 k  d.10k bn /  d.10k an / ˇ ˇ 10 10 10 kD0



n2 ˇ 9n1 X  9 k ˇˇ d.10k bn /  d.10k an /ˇ  n 10 10 kD0



n2 n2 9n1 X  9 k 9n1 1 X k kn   10 D  9 10n 10 10n 10n kD0 kD0

D

7  9n1 C 1 7  9n1 C 1 jbn  an j: D 8  10n 8

Thus, ˇ f .b /  f .a / ˇ 7  9n1 C 1 n n ˇ ˇ n ! C1: ˇ ˇ bn  an 8 t u

Problems: Section 11.2 P x k 1. Prove that the series of functions k1 . 1Cx 2 / converges uniformly in R and compute its sum. 2. Prove that the Taylor series of the functions ex , sin x and cos x converge uniformly to such functions in each interval Œa; a, with a > 0. 3. For n 2 N, let fn W Œ0; 1 ! R be given by fn .x/ D nxenx . Prove that .fn /n1 converges pointwise, albeit not uniformly, 0. Also, show (without invoking R1 Lebesgue’s DCT) that 0 fn .x/ dx ! 0 as n ! C1. 4. For n  0 integer, let fn W Œ0; 1 ! R be given by fn .x/ D xn ex . Do the following items: (a) Show that .fn /n0 converges pointwise to f W Œ0; 1 ! R, with f .x/ D  0; if x < 1 : e1 ; if x D 1 (b) Show that, for each integer n  0, there exist natural numbers an and bn R1 such that 0 fn .x/ dx D an  bn e1 , with a0 D b0 D 1, an D nan1 and bn D nbn1 C 1 for every n 2 N. P (c) Conclude that an D nŠ and bn D nŠ nkD0 kŠ1 for every n 2 N. R1 (d) Use the result of the previous items to show that 0 fn .x/ dx ! 0 as n ! C1.

468

11 Series of Functions

5. Let fn W Œa; b ! R be a sequence of integrable functions, converging uniformly to a function f W Œa; b ! R. Show that f is integrable and Z

Z

b

f .x/dx D lim

n!C1 a

a

b

fn .x/dx:

6. Let .fn /n1 be a sequence of differentiable functions P fn W Œa; b ! R, such that jfn0 .x/j  Mn for every n 2 N and x 2 P Œa; b. If k1 Mk is a convergent series and there exists x0 2 Œa; bPsuch that k1 fk .x0 / converges absolutely, show that the series of functions k1 fk converges uniformly in the interval Œa; b to a differentiable function, such that X d X fk .x/ D fk0 .x/ dx k1 k1 for every x 2 Œa; b. Rb 7. (Putnam) Let f W Œa; b ! R be a continuous function such that a f .x/xk dx D 0 for every k 2 ZC . Prove that f vanishes identically. 8. (Berkeley) Does there exist a continuous function f W Œ0; 1 ! R such that R1 R1 k 0 f .x/xdx D 1 and 0 f .x/x dx D 0 for every nonnegative integer k ¤ 0? Justify your answer. 9. (Berkeley) Let 'n W Œ0; 1 ! R be a sequence of nonnegative continuous functions such that Z

1

lim

n!C1 0

xk 'n .x/dx

exists, for each k 2 ZC . Prove that, for any given continuous function f W Œ0; 1 ! R, the limit Z lim

n!C1 0

1

f .x/'n .x/dx

also exists. P 10. With respect to the series of functions k1 1k sin.kx/, do the following items: (a) Use Abel’s criterion (cf. Problem 18, page 243), together with the discussion of items (b) and (c) of Problem 20, page 244, to show that the given series converges pointwise in the interval .0; 2/. (b) Revisit the proof of Abel’s criterion, as sketched in the hints given to Problem 18, page 243, to show that Abel’s identity guarantees that the convergence of item (a) is uniform in every interval of the form Œı; 2  ı, for 0 < ı < .

11.2 Series of Functions

469

11. Let f W R ! R be a piecewise continuous function, periodic with period 2. The Fourier series2 of f is the series of functions a0 .f / X C .ak .f / cos.kx/ C bk .f / sin.kx// ; 2 k1 where ak .f / D

1 

Z

 

f .x/ cos.kx/dx and bk .f / D

1 

Z

 

f .x/ sin.kx/dx

for all k. In this respect, do the following items: (a) If f is continuously differentiable and k  1, prove that 1 ak .f / D  bk .f 0 / k

and bk .f / D

1 ak .f 0 /: k

Then, conclude that ak .f /; bk .f / ! 0 as k ! C1 (this is a special case of Riemann-Lebesgue’s lemma, to be proved in greater generality in Problem 15). (b) If f is twice continuously differentiable and k  1, prove that ak .f / D 

1 ak .f 00 / k2

and bk .f / D 

1 bk .f 00 /: k2

Then, conclude that the Fourier series of f converges uniformly in R and, hence, defines a continuous function in R. (c) Yet assuming f to be twice continuously differentiable, let g W R ! R be the continuous function given by g.x/ D

a0 .f / X C .ak .f / cos.kx/ C bk .f / sin.kx// : 2 k1

Prove that al .g/ D al .f / for l  0 and bl .g/ D bl .f / for l  1. For the next two problems, we say that a function f W I ! R is piecewise continuously differentiable if there exists reals a1 < a2 < : : : < an in I such that f is continuously differentiable in all of the intervals .1; a1 \I, Œai ; aiC1  for 1  i < n and Œan ; C1/ \ I. We shall assume without proof the validity of Fourier’s convergence theorem,3 which states that if f W R ! R is piecewise 2

Fourier’s studies on heat conduction, collected in his famous book Théorie Analytique de la Chaleur, laid the groundwork for modern Mathematical Physics, which in turn has greatly influenced the development of the theory of Partial Differential Equations. 3 In spite of being known by the name of Fourier, such a result is actually due to Dirichlet.

470

11 Series of Functions

continuous, piecewise continuously differentiable and periodic of period 2, then its Fourier series is pointwise convergent in the whole real line, converging at x0 2 R to  1 lim f .x/ C lim f .x/ : x!x  x!x C 0 2 0 For a proof of Fourier’s convergence theorem, together with a discussion of several other interesting properties of Fourier series, see [10, 20] or [24]. 12. Let f W R ! R be periodic of period 2 and given by f .x/ D x2 in the interval Œ; . (a) Compute its Fourier series. P (b) Use Fourier’s theorem to show that k1

1 k2

D

2 6 .

13. Let f W R ! R be periodic of period 2 and such that 8 < 0; if    x < 0 f .x/ D 1; if 0  x <  : :

(a) Compute its Fourier series. (b) Use Fourier’s theorem to deduce Leibniz formula4 for : 1 1 1  D 1 C  C : 4 3 5 7 14. (Miklós-Schweitzer—adapted) Let p > 0 be a real number and f ; g W R ! R be continuous functions, with g being periodic of period p. (a) Prove that n Z X kD1

kp n .k1/p n

f

n Z p  kp 1X  kp g.nx/dx D g.y/dy  f n n kD1 n 0 Z Z  p  p n 1 ! f .x/dx g.y/dy : p 0 0

(b) Prove the following theorem of Fejér5 : Z lim

n!C1 0

4 5

p

1 f .x/g.nx/dx D p

Z

p 0

f .x/dx

 Z

p 0

g.x/dx :

We shall give a self-contained proof of such a formula in Problem 9, page 484. After Lipót Fejér, Hungarian mathematician of the XX century.

11.2 Series of Functions

471

15. Prove the Riemann-Lebesgue lemma: let f W R ! R be a continuous function, periodic with period 2. If ak .f / and bk .f / denote the Fourier coefficients of f , as defined in Problem 11, prove that ak .f /; bk .f / ! 0 as k ! C1. For the next problem, let f W R ! R be continuous and periodic with period 2. For n 2 ZC , let  a0 X  C ak cos.kx/ C bk sin.kx/ 2 kD1 n

Sn f .x/ D

denote the n-th partial sum of the Fourier series of f and

n f .x/ D

S0 f .x/ C S1 f .x/ C    C Sn f .x/ : nC1 n

Another theorem of Fejér states that n f ! f uniformly on R. 16. Let f ; g W R ! R be continuous and periodic with period 2. If ak .f / D ak .g/ and bk .f / D bk .g/ for every k, prove that f D g. 17. (Berkeley) p Find all continuous functions f W R ! R such that f .x/ D f .xC1/ D f .x C 2/ for every x 2 R. 18. * This problem establishes a fairly general version of Leibniz’ rule of differentiation under the integral sign, assuming the validity of Lebesgue’s DCT. To this end, let I; J  R be intervals and f W I J ! R be continuous in each variable separately.6 Let ˛ and ˇ be the endpoints of J (in the sense of Sect. 10.9). (a) Assume that for every x0 2 I and every sequence .xn /n1 in I converging to x0 , there exists an integrable function g W J ! R such that jf .xn ; t/j  g.t/ for every n  1 and every t 2 J. Then, t 7! f .x; t/ is integrable for each x 2 I. Moreover, if F W I ! R is given by Z ˇ F.x/ D f .x; t/dt; ˛

then F is continuous. (b) Let the function x 7! f .x; t/ be continuously differentiable for each t 2 J, @f and let @x denote its derivative. Assume that for every x0 2 I and every sequence .xn /n1 in I converging to x0 , there exist integrable functions gW ˇ ˇ ˇ @f ˇ J ! R and G W J ! R such that jf .xn ; t/j  g.t/ and ˇ @x .xn ; t/ˇ  G.t/

@f for every n  1 and every t 2 J. Then, t 7! f .x; t/ and t 7! @x .x; t/ are integrable for each x 2 I and F W I ! R, defined as in item (a), is continuously differentiable in I, with Z ˇ @f F 0 .x/ D .x; t/dt: (11.18) @x ˛

6

I.e., such that both t 7! f .x; t/ and x 7! f .x; t/ are continuous functions.

472

11 Series of Functions

19. * Show that the Gamma function is continuously differentiable, with 0 .x/ D

Z

C1

et tx1 log t dt:

0

11.3 Power Series In Sect. 11.1 we saw several examples of infinitely differentiable functions defined in open intervals and which coincide with their Taylor series in such intervals. The Taylor series of an infinitely differentiable function is a particular case of a power series, i.e., of a series of functions of the form X ak .x  x0 /k ; (11.19) k0

where a0 ; a1 ; a2 ; : : : are given real numbers. In this case, as it happens with number series, we say that an .x  x0 /n is the n-th term of the power series and that an is the n-th coefficient of it. In this section we develop the basic aspects of the theory of power series, starting with the following central result. P Theorem 11.23 Given a power series k0 ak .x  x0 /k , there exists 0  R  C1 such that the series: (a) Converges absolutely in the interval .x0  R; x0 C R/ and diverges in R n Œx0  R; x0 C R. (b) Converges uniformly in the interval Œx0  r; x0 C r, 8 0 < r < R. P Proof Firstly, note that the series k0 ak .x  x0 /k converges absolutely in the P interval .x0  R; x0 C R/ if and only if the series k0 ak xk converges absolutely P in the interval .R; R/. Accordingly, k0 ak .x  x0 /k converges uniformly in P Œx0  r; x0 C r if and only if k0 ak xk converges uniformly in Œr; r. Therefore, we can assume that x0 D 0. Let’s first deal with item (a). P Claim 4 if k0 ak xk converges at x D ˛ ¤ 0, then it converges absolutely at any x 2 .˛; ˛/. Indeed, for such an x, we have X k0

P

jak xk j D

ˇ x ˇk ˇ ˇ jak ˛ k j ˇ ˇ : ˛ k0

X

(11.20)

ak ˛ k converges, Proposition 7.36 guarantees the existence of n0 2 N ˇ ˇk such that n  n0 ) jan ˛ n j < 1; therefore, it follows from (11.20) that jak xk j ˇ ˛x ˇ 

Since

k0

11.3 Power Series

473

ˇ ˇ ˇ x ˇk ˇ x ˇk P ˇ ˇ for k  n0 . Since the geometric series ˇ ˇ is convergent (for, ˇ x ˇ < 1), kn0 ˛ ˛ ˛ P the comparison test assures that the same holds true for kn0 jak xk j and, thus, for P k k0 jak x j. P Claim 5 if k0 ak xk diverges at x D ˇ ¤ 0, then it also diverges at any x 2 R such that jxj > jˇj. P For such an x, if k0 ak xk converged, the previous claim would assure the P (absolute) convergence of the series k0 ak ˇ k , which is an absurd. P Claims 4 and 5 guarantee that, with respect to k0 ak xk , one of the three following possibilities does happen: (i) it converges only at x D 0; (ii) it is absolutely convergent at any x 2 R; (iii) there exist ˛; ˇ ¤ 0 such that j˛j < jˇj and the series converges absolutely when jxj < ˛ and diverges when jxj > jˇj. If either (i) or (ii) happens, there is nothing left to do. If (iii) happens, let R D supfr > 0I

X

ak uk converges absolutely when juj < rg:

k0

P We claim that k0 ak xk converges absolutely when jxj < R and diverges when jxj > R. To this end, let’s look at two separate cases: P (i) If jxj < R, take r such that jxj < r < R and k0 ak uk converges absolutely P when juj < r. Then, in particular k0 ak xk is absolutely convergent. P (ii) If jxj > R and k0 ak xk converged, then, taking RQ satisfying R < RQ < jxj, P k when it would follow from Claim 4 that k0 ak u converges absolutely P Q But this obviously contradicts the definition of R. Therefore, k0 ak xk juj < R. diverges. P For item (b), given 0 < r < R, it follows from what we did above that k0 jak rk j for jxj  r, that jak xk j  jak rk j D converges. Hence, letting Mk D jak rk j, we have,P Mk . Therefore, Weierstrass M-test assures that k0 ak xk converges uniformly in the interval Œr; r. t u In the notations of the previous result, we say that 0  R  C1 is the radius of convergence of the power series (11.19), and .x0  R; x0 C R/ is its interval of convergence. Problems 10 and 11 give a general formula for the radius of convergence in terms of the coefficients of a given power series. For the time being, the following consequence of the previous result allows us to easily compute it in a number of interesting examples. At this point, we suggest that the reader runs through the proof of the ratio test (cf. Proposition 7.51) once more, just to note that it remains valid if (in the corresponding notations) l D C1. Corollary 11.24 Let .an /n0 be a sequence ˇ ˇ of nonzero real numbers. IfPthere exists ˇ an ˇ 0  R  C1 such that limn!C1 ˇ anC1 ˇ D R, then the power series k0 ak .x  x0 /k has radius of convergence equal to R.

474

11 Series of Functions

Proof Since ˇ ˇ ˇ anC1 .x  x0 /nC1 ˇ ˇ ˇ ˇ a .x  x /n ˇ D n 0

jx  x0 j n jx  x0 j ˇ ˇ ! ; ˇ an ˇ R ˇ anC1 ˇ

P 0j the ratio test assures that k0 ak .x  x0 /k converges absolutely if jxx < 1 and R jxx0 j jxx0 j diverges if R > 1. Since R < 1 if and only if jx  x0 j < R, the previous result guarantees that R is precisely the radius of convergence of the given power series. t u Example 11.25

ˇ ˇ P ˇ 1=n ˇ (a) The power series k1 1k xk has radius of convergence 1, for ˇ 1=.nC1/ ! ˇ D nC1 n 1 as n ! C1. ˇ ˇ P ˇ nŠ ˇ 1 (b) The series k1 kŠxk has radius of convergence 0, for ˇ .nC1/Š ! 0. ˇ D nC1 ˇ ˇ P ˇ 1=nŠ ˇ 1 k (c) The series k1 kŠ .x  2/ has radius of convergence C1, for ˇ 1=.nC1/Š ˇ D n C 1 ! C1P as n ! C1. Actually, we already know from the material of Sect. 11.1 that k1 kŠ1 .x  2/k D ex2 for every real x. P k (d) The former corollary does not apply to the power series k1 kŠ1 x2 , for it has infinitely many vanishing coefficients. See, however, Problem 2. P k (e) Given ˛ ¤ 0, the previous corollary assures ˇ n ˇ that the power series k0 .˛x/ ˇ ˇ 1 ˛ 1 has radius of convergence j˛j , for ˇ ˛nC1 for every n  0. By ˇ D j˛j Proposition 7.38, for jxj
0, then: P (a) The function f W .x0  R; x0 C R/ ! R, given by f .x/ D k0 ak .x  x0 /k , is continuous. Rx P ak (b) For every x 2 .x0  R; x0 C R/, we have x0 f .t/dt D k0 kC1 .x  x0 /kC1 . In particular, the radius of convergence of the series at the right hand side above is greater than or equal to R. Proof LetP fk W .x0  R; x0 C R/ ! R be given by fk .x/ D ak .x  x0 /k . Theorem 11.23 gives f D k1 fk in .x0 R; x0 CR/, the convergence being uniform in Œx0 r; x0 Cr, for every 0 < r < R. Since fk is continuous for every k, items (a) and (b) follow immediately from items (a) and (b) of Corollary 11.19. t u The coming theorem is the central result in the theory of power series.

11.3 Power Series

475

Theorem 11.27 If the power series R > 0, then:

P k0

ak .x  x0 /k has radius of convergence

P (a) The function f W .x0  R; x0 C R/ ! R, given by f .x/ D k0 ak .x  x0 /k , is infinitely differentiable. P kŠ (b) For every n 2 N, we have f .n/ .x/ D kn .kn/Š  ak .x  x0 /kn for every x 2 .n/ .x0  R; x0 C R/, and the series defining f also has radius of convergence equal to R. Proof As in the proof of Theorem 11.23 we can assume, without any loss of generality, that x0 D 0. P We shall first prove that, letting RQ be thePradius of convergence of the power series k1 kak xk1 , then RQ D R and f 0 .x/ D k1 kak xk1 for every x 2 .R; R/. Note first that jkak xk j  P jak xk j for every integer k  1 and every x 2 R. Therefore, if the power series k1 kak xk1 converges absolutely at some x, then the P P same holds true for the power series k1 kak xk and, thus, for k0 ak xk . Hence, RQ  R. Now, for 0 < x < R and 0 < h < R  x, we have 1 0 X X  .x C h/k  xk  f .x C h/  f .x/ 1 @X D : ak .x C h/k  a k xk A D ak h h k1 h k1 k1 On the other hand, Lagrange’s MVT gives, for each k  1, some ck 2 .x; x C h/ k k such that .xCh/h x D kckk1 . Therefore, X f .x C h/  f .x/ D kak ckk1 ; h k1 P so that the power series k1 kak ckk1 converges absolutely. Since jkak xk1 j  P k1 jkak ck1 also converges absok j, the comparison test guarantees that k0 kak x lutely. Analogously, such a series converges absolutely if R < x < 0, so that RQ  R. up to this point assures that g W .R; R/ ! R, given by g.x/ D P Our discussion k1 ka x , is a well defined function. By item (b) of the previous proposition, k k0 we have Z x X kak X xk D g.t/dt D ak xk D f .x/  a0 : k 0 k1 k1 Hence, the FTC gives, for jxj < R, f 0 .x/ D g.x/ D

X k0

kak xk1 :

476

11 Series of Functions

For what is left to do assume, by induction hypothesis, that already P we have kŠ shown f to be m times differentiable in .R; R/, with f .m/ .x/ D km .km/Š  ak .x  x0 /km ; assume also that this last power series has radius of convergence equal to R. Then, the first part, f .m/ is a differentiable function, the power series defining 0 by.mC1/  .m/ f Df has radius of convergence R and f .mC1/ .x/ D D

X

kŠ  .k  m/ak .x  x0 /km1 .k  m/Š kmC1 X

kŠ  ak .x  x0 /k.mC1/ : .k  .m C 1//Š kmC1

This completes the inductive argument and, thus, the proof of (b).

t u

In the notations of item (b) of the previous result, we observe that the power series expansion of f .n/ is obtained by termwise differentiating, n times, the power dn series expansion of f . Indeed, letting dx n denote the n-th derivative of a function (if it exists), an immediate computation gives dn kŠ .x  x0 /kn : .x  x0 /k D n dx .k  n/Š We now collect two useful consequences of the previous theorem, the first of which refines the analysis of item (b) of Proposition 11.26. P Corollary 11.28 If the power series k0 ak .x  x0 /k has radius ofPconvergence ak R > 0, then the radius of convergence of the integrated power series k0 kC1 .x  x0 /kC1 is also equal to R. P ak d P kC1 Proof Since k0 ak .x  x0 /k D dx , item (b) of the previous k0 kC1 .x  x0 / theorem guarantees that both of the given series have the same radius of convergence. t u P Corollary 11.29 Assume that the power series k0 ak .x  x0 /k has radius of convergence R > 0, and let f W .x0  R; x0 C R/ ! R be given by f .x/ D P k a .x  x k 0 / . Then: k0 .n/

f .x0 / (a) aP n D nŠ , for every n  0. k (b) a k0 k .x  x0 / is the Taylor series of f .

Proof Item (b) follows immediately from (a). For (a), item (b) of the previous result .n/ nŠ gives f .n/ .x0 / D .nn/Š  an D nŠan ; therefore, an D f nŠ.x0 / . t u We shall now see that the results presented so far allow us to reobtain, by means of a unified approach, some of the Taylor expansions discussed in Sect. 11.1. In this respect, see also Problem 3.

11.3 Power Series

477

P 1 Example 11.30 Item (e) of Example 11.25 assures that 1Cx D k0 .1/k xk , with radius of convergence equal to 1. Hence, item (b) of Proposition 11.26 gives, for jxj < 1, Z

x

log.1 C x/ D 0

X 1 dt D 1Ct k0

Z

x 0

.1/k tk dt D

X .1/k k0

kC1

xkC1 :

(11.22)

Example 11.31 Note that 1 D 1  x2 C x4  x6 C    1 C x2 for jxj < 1. Therefore, again by item (b) of Proposition 11.26, we have, for jxj < 1, Z

x

arctan x D 0

D x

X 1 dt D 1 C t2 k0

Z

x 0

.1/k t2k dt

x3 x5 x7 C  C : 3 5 7

(11.23)

Problems 8 and 9 will show that (11.22) and (11.23) remain true for x D 1. Example 11.32 It follows easily from Corollary 11.24 P that the power series P 1 k 1 k x converges in the whole real line. If f .x/ D k0 kŠ k0 kŠ x for x 2 R, then item (b) of Theorem 11.27 furnishes f 0 .x/ D

X k1

X 1 1 xk1 D xk D f .x/: .k  1/Š kŠ k0

Therefore, d x .e f .x// D ex .f .x/ C f 0 .x// D 0; dx so that x 7! ex f .x/ is a constant function. Finally, since f .0/ D 1, we get ex f .x/ D 1 or, which is the same, f .x/ D ex . We now apply Theorem 11.27 to show that, for any ˛ 2 R n f0g and jxj < 1, one can write .1 C x/˛ as a convergent power series. To this end, given ˛ 2 R and   an integer n  0, we define the generalized binomial number ˛n by letting ˛0 D 1 and, for n  1, ! ˛ ˛.˛  1/.˛  2/ : : : .˛  n C 1/ : (11.24) D n nŠ

478

11 Series of Functions

The following lemma establishes some useful properties of generalized binomial numbers. As in Sect. 4.2, the property of item (a) is also known as Stifel’s relation. Lemma 11.33 Given ˛ 2 R and n 2 N, we have:     ˛1 C . (a) ˛n D ˛1   n  n1 for every ˛ ¤ 0. (b) ˇ˛n ˛n D ˛1 n1 ˛ˇ ˇ ˇ (c) n  1 when j˛j  1. Proof Item (a) is an easy computation: ! ! ˛ ˛1 1  D ˛.˛  1/.˛  2/ : : : .˛  n C 1/ n n nŠ 

1 .˛  1/.˛  2/ : : : .˛  n/ nŠ

1 .˛  1/.˛  2/ : : : .˛  n C 1/.˛  .˛  n// nŠ 1 D .˛  1/.˛  2/ : : : .˛  n C 1/ .n  1/Š ! ˛1 D : n1 D

Item (b) follows immediately from (11.24). Finally, for item (c), if j˛j  1 then (11.24) and the triangle inequality give ˇ !ˇ ˇ ˛ ˇ j˛j.j˛j C 1/.j˛j C 2/ : : : .j˛j C n  1/ 1  2  :::  n ˇ ˇ  D 1: ˇ ˇ ˇ n ˇ nŠ nŠ t u The coming result is known in mathematical literature as the binomial series theorem, or simply as the binomial   theorem, and is due to Newton. Notice that (11.25) generalizes (4.11), for ˛k D 0 if ˛ 2 N and k > ˛. Theorem 11.34 (Newton)

For ˛ ¤ 0 and jxj < 1, we have ! X ˛ .1 C x/ D xk : k k0 ˛

Proof Firstly, assume 0 < j˛j  1. Since ˇ   ˇ ˇ ˛ ˇ nC1 n ˇ n ˇ ! 1; ˇ ˛ ˇ D ˇ nC1 ˇ j˛  nj

(11.25)

11.3 Power Series

479

P   Corollary 11.24 assures that k0 ˛k xk has radius of convergence equal to 1. Hence,  k Theorem 11.27, the function f W .1; 1/ ! R given by f .x/ D P ˛by k0 n x is differentiable. Also from that result, ! ! ˛ k1 X ˛  1 k1 f .x/ D k x D ˛ x ; k k1 k1 k1 X

0

(11.26)

where we used item (c) of the previous lemma in the last equality above. Therefore, ! X ˛1 .1 C x/f .x/ D ˛.1 C x/ xk1 k  1 k1 0 ! ! 1 X ˛1 X ˛1 D ˛@ xk1 C xk A k  1 k  1 k1 k1 0

0

1 ! ! X ˛1 X ˛1 D ˛ @1 C xk1 C xk1 A k  1 k  2 k2 k2 0 D ˛ @1 C

X k2

1 ! ! X ˛ ˛ k1 A D˛ x xk k1 k k0

D ˛f .x/: If g.x/ D .1 C x/˛ f .x/, then we have for jxj < 1 that g0 .x/ D ˛.1 C x/˛1 f .x/ C .1 C x/˛ f 0 .x/   D .1 C x/˛1 ˛f .x/ C .1 C x/f 0 .x/ D 0: Therefore, g is constant in .1; 1/. Since g.0/ D 1, we get .1 C x/˛ f .x/ D 1 for jxj < 1, as wished. P   For the general case, suppose that .1 C x/˛ D k0 ˛k xk for some ˛ ¤ 0 and every x 2 .1; 1/. Let us show that similar formulas hold true for ˛  1 and ˛ C 1 (and every x 2 .1; 1/): (a) Theorem 11.27, together with item (b) of Lemma 11.33, gives, for jxj < 1, .1 C x/

˛1

! 1 d 1 X ˛ k1 ˛ D  .1 C x/ D k x ˛ dx ˛ k1 k ! ! X ˛1 X ˛1 k1 D D x xk : k  1 k k1 k0

480

11 Series of Functions

(b) Item (a) of lemma 11.33 gives us .1 C x/

˛C1

! ! ! X ˛ X ˛ X ˛ k k x D x C xkC1 D .1 C x/ k k k k0 k0 k0 ! !! ! X X ˛C1 ˛ ˛ C xk D 1 C xk D1C k k  1 k k1 k1 ! X ˛C1 xk : D k k0

By induction, we conclude that (11.25) is true for all ˛ ¤ 0 and jxj < 1.

t u

Corollary 11.35 Given ˛; ˇ ¤ 0, we have

! X ˛ .1 C ˇx/ D .ˇx/k k k0 ˛

for every x 2 R such that jxj
n

where we used again the fact that ak  0 to obtain P the above inequality. Now, given  > 0, the convergence of k0 ak Rk assures the existence of P k n0 2 N P such that k>nak R <  for n > n0 . Fix such an n > n0 . Since  n k k limx!R kD0 ak R  x D 0, there exists ı > 0 such that x 2 .R  ı; R/ )

n X

  ak Rk  xk < :

kD0

With such choices and in view of the above computations, we conclude that x 2 .R  ı; R/ ) 0 

n X

ak Rk  f .x/ < 2:

kD0

t u Remark 11.38 In the notations of the statement of the previous lemma, Problem 7 shows that the assumption on the sign of the ak ’s can be dropped. It is somewhat surprising that the converse of the previous lemma also holds true. Such a result is known in mathematical literature as a tauberian theorem after the work of Alfred Tauber, Austrian mathematician of the XIX and XX centuries. For the sake of simplifying the notation, we assume that R D 1, leaving to the reader the (easy!) task of dealing with the general case.

482

11 Series of Functions

P k Theorem 11.39 Let f .x/ D the interval .1; 1/, with ak  0 for k0 ak x in P every k  0. If lim f .x/ does exist, then x!1 k0 ak converges and limx!1 f .x/ D P a . k k0 Proof The last part follows from the previous lemma. For what is left to do, note that, for 0  x < 1, xf 0 .x/ D

X

X 2 X1 jC1

kak xk D

k1

kD2j

j0

X 2 X1

kak xk

jC1



2 j a k x2

jC1 1

kD2j

j0

jC1 X  2 X1 jC1 j D 2 ak x2 1 :

kD2j

j0

In particular, for a fixed natural number l and 0 < x < 1, we have Z

x 0

l  2jC1 X X1 Z x jC1 j tf .t/dt  2 ak t2 1 dt 0

jD0

0

kD2j

l  2jC1 X X1 x2jC1 j 2 ak jC1 D 2 j jD0 kD2

l 2 1 1 X  X 2jC1 ak x : 2 jD0 j jC1

D

kD2

Now, let a D limx!1 f .x/. Since f is increasing and nonnegative, we get Z

x

0

tf 0 .t/dt D xf .x/ 

Z

x 0

f .t/dt  a:

Taking these two estimates together, we arrive at l  2X 1 X jC1

jD0

jC1 ak x2  2a

kD2j

for every 0  x < 1, so that making x ! 1 we find 2lC1 X1 kD1

l  2X 1 X jC1

ak D

jD0

kD2j

ak  2a:

11.3 Power Series

483

Finally, since the sequence of partial sums of the series ing, this last inequality gives X ak  a0 C 2a:

P k0

ak is nondecreas-

k0

t u Example 11.40 By applying the formula of Problem 11 for the radius of convergence, we conclude that .1; 1/ is the interval of convergence of the power series P 2j x . Alternatively, we can observe that, for jxj < 1, j0 0

X

x2  j

j0

X

jxjk < C1:

k1

On the other hand, since the sequence of the coefficients of this series clearly diverges, the tauberian theorem assures that lim

x!1

X

x2 D C1: j

j1

For a more refined estimate on the growth of Problem 12.

P

x2 as x ! 1, see j

j1

Problems: Section 11.3 1. Compute the radii of convergence of the power series given below: P 1 xk . (a) Pk0 2kC1 k2 k e x. (b) Pk0 k 2k (c) k0 .1/ x . P k 2. Compute the radius of convergence of the power series k0 kŠ1 x2 . 3. Use the approach of Example 11.32, together with the result of Example 9.48, to show that sin x D

X .1/k1 X .1/k x2k1 and cos x D x2k : .2k  1/Š .2k/Š k0 k0

4. * For k 2 N and jxj < 1, prove that ! X kCn1 1 D xn : .1  x/k n n0

484

11 Series of Functions

5. Show that for jxj < 1 we have arcsin x D

X k0

! 1 2k 2kC1 : x 4k .2k C 1/ k

6. The formula of Example 11.30 can be modified in order to compute log a for every a > 0. To this end, do the following items: (a) Show that, for x 2 .1; 1/, one has   1Cx x3 x5 x7 1 log DxC C C C : 2 1x 3 5 7 (b) Show that x 7! 1Cx defines a bijection from .1; 1/ onto .0; C1/. 1x (c) Use the formula of item (a) to compute log 3 with four correct decimal places. P 7. * Let f W .R; R/ ! R be given by f .x/ D k0 ak xk . The purpose of this P problem is to show that, if k0 ak Rk converges, then lim f .x/ D

x!R

X

a k Rk :

To this end, do the following items: P (a) Let rn D kn ak Rk and, for jxj < R, let y D numbers n < m, m X

(11.27)

k0

x R.

Show that, for natural

m X     n m ak x D rn y  rmC1 y C rk yk  yk1 : k

kDn

kDnC1

(b) Show that, for natural numbers n < m, m ˇX ˇ    ˇ ˇ ak xk ˇ  jrn j C jrm j C sup jrk j yn  ym : ˇ k>n

kDn

P (c) Show that k0 ak xk converges uniformly on the interval Œ0; R. Then, conclude that (11.27) is true. 8. Use the result of the previous problem to show that log 2 D 1 

1 1 1 C  C : 2 3 4

11.3 Power Series

485

9. * Use the material of this section to give a self-contained proof of the Leibniz formula for :  1 1 1 D 1 C  C : 4 3 5 7 For the next two problems, we extend the notion of supremum by saying that a sequence .ak /k0 has supremum C1 if it is unbounded from above; in this case, we write supfak I k  0g D C1: Accordingly, we extend the notion of infimum by saying that a sequence .ak /k0 has infimum 1 if it is unbounded from below; in this case, we write inffak I k  0g D 1: 10. Let .ak /k0 be a sequence of real numbers. Define its limit superior, denoted lim sup ak , by letting lim sup ak D lim supfaj ; ajC1 ; : : :g: j!C1

(a) Prove that lim sup ak is a well defined concept and that, if sj D supfaj ; ajC1 ; : : :g 2 R [ fC1g, then lim sup ak D inffsj I j  0g 2 R [ f˙1g. (b) If lim sup ak 2 R, prove that it is the only real number M satisfying the two following conditions: i. Given  > 0, there exists infinitely many n 2 N such that an > M  . ii. Given  > 0, there exists at most finitely many n 2 N such that an  M C . P 11. Let k0 ak .x  x0 /k be a power series with radius of convergence R. The purpose of this problem is to prove that RD

1 lim sup

p ; k jak j

where p the right hand side is to be interpreted as being equal to 0 if lim sup k jak j D C1. To this end, assume without loss of generality that x0 D 0, let R be given as above and do the following items: (a) Fix 0 < r < R and take r < s < R. Show that there exists k0 2 N such that jak j < s1k for every k  k0 . Then, show that jxj  r )

X kk0

jak xk j 

X  r k kk0

s

< C1:

486

11 Series of Functions

(b) Fix jxj > R and show that there exist infinitely many indices k 2 N such P that jak xk j > 1. Conclude that the series k0 ak xk diverges. (c) Conclude that R, defined as above, is indeed the convergence radius of the given series. P j 12. As we saw in Example 11.40, the power series j1 x2 defines a differentiable function f W .1; 1/ ! R. In this respect, prove that: P x2 (a) xf 0 .x/ > k2 xk D 1x , for 0  x < 1. (b) f .x/ >  log.1  x/  x, for 0  x < 1.

11.4 Some Applications In this section, we briefly discuss the use of power series in Algebra and differential equations. For further applications of power series to Algebra and Combinatorics, we refer the reader to [5]. We begin with the following Definition 11.41 The (ordinary) generating function7 of a sequence of real numbers .an /n0 is the power series X

a k xk :

(11.28)

k0

The previous definition suggests that the main difference between the theory of power series and the method of generating function lies in a change of point of view. In the first case, we are primarily interested in examining the properties of the function f defined by the power series at the right hand side of (11.28); in the second (as we shall see next), we want to use the properties of f to infer conclusions about the terms of the sequence .an /n0 . Let’s illustrate this by revisiting Problem 20, page 220 with the aid of generating functions. Example 11.42 (TT) The set of naturals is partitioned into m disjoint, infinite and nonconstant arithmetic progressions, of common ratios d1 , d2 , . . . , dm . Prove that 1 1 1 C CC D 1: d1 d2 dm P Proof If f .x/ D k1 xk and ai is the initial term of the i-th AP (that of common ratio di ), then the given condition, together with item (e) of Example 11.25, gives

7

In opposition to exponential generating functions, cf. Chap. 3 of [5], for instance.

11.4 Some Applications

487

for jxj < 1 that f .x/ D

m m X X .xai C xai Cdi C xai C2di C    / D iD1

iD1

xai : 1  xdi

Since 1  xdi D .1  x/.1 C x C x2 C    C xdi 1 /, multiplying both sides of the equality above by 1  x we get xD

m X iD1

1CxC

x2

xai C    C xdi 1

(11.29)

for jxj < 1. Now, both sides of this last equality define functions continuous in Œ0; 1 and which coincide in Œ0; 1/; hence,Psuch functions coincide for x D 1 too, so that, 1 letting x D 1 in (11.29), we obtain m t u iD1 di D 1. The use of generating functions is particularly useful in the study of sequences .an /n0 satisfying a given linear recurrence relation. Here, as in Sect. 3.2, we shall treat the cases of (certain) linear recurrence relations of orders 2 and 3, postponing the analysis of the general case to Chap. 20 of [5]. P The idea is to consider the generating function k0 ak xk corresponding to the given sequence and, then, follow the various stages below, which comprise a sort receipt for several similar problems: I. Use the initial terms of the sequence, as well as the recurrence relation it satisfies, to conclude that the given generating function converges at some interval of the form .r; r/. II. Again with the aid of the initial terms and the given recurrence relation, perform appropriate (generally algebraic) operations with the equality f .x/ D P k k0 ak x to get a formula for f .x/. III. Develop the formula obtained in item II in Taylor series. IV. Use the uniqueness of the power series representation of f , given by Corollary 11.29, to conclude that an equals the coefficient of xn in the power series .n/ expansion of stage III (i.e., an D f nŠ.0/ ). In order to go through stage I, the following result is frequently useful. Lemma 11.43 Let .an /n0 be a sequence of real numbers. If there exist P positive reals c and M such that jan j  cM n for every n  0, then the power series k0 ak xk   converges in the interval  M1 ; M1 . Proof Since jan xn j D jan jjxjn  cM n jxjn D cjMxjn and the geometric series P 1 k (cf. item (e) of Example 11.25), the k0 jMxj converges when jxj < M P t comparison test for series guarantees that k0 ak xk converges when jxj < M1 . u The following example implements stages I through IV above to get a positional formula for the n-th Fibonacci number.

488

11 Series of Functions

Example 11.44 Let .Fn /n1 be the Fibonacci sequence, so that F1 D 1, F2 D 1 and FkC2 D FkC1 C Fk for every integer k  1. Compute Fn as a function of n. P k Solution Let f .x/ D k1 Fk x be the generating function corresponding to the Fibonacci sequence, and let’s run through the previously listed stages I to IV. Step I: note first that an easy induction gives Fn P2n for every n  1. Hence, Lemma 11.43 guarantees that the power series k1 Fk xk converges in   the interval  12 ; 12 . Step II: for x 2 . 12 ; 12 /, we can write f .x/ D F1 x C F2 x2 C

X

F k xk

k3

X D x C x2 C .Fk1 C Fk2 /xk k3

D x C x2 C x

X

Fk1 xk1 C x2

k3

X

Fk2 xk2

k3

D x C x2 C x.f .x/  F1 x/ C x2 f .x/ D x C .x C x2 /f .x/: Then, for x 2 . 12 ; 12 / we have f .x/ D

x : 1  x  x2

Step III: writing 1xx2 D .1˛x/.1ˇx/, with ˛; ˇ 2 R, we have ˛ Cˇ D 1, ˛ˇ D 1 and f .x/ D

x x : D 1  x  x2 .1  ˛x/.1  ˇx/

Imposing, with no loss of generality, that ˛ > ˇ, we get ˛ D p p 1 5 5 and, thus, 2 , so that ˛  ˇ D 1 f .x/ D p 5 Now, developing

1 1˛x

and

1 1ˇx



p 1C 5 2

 1 1  : 1  ˛x 1  ˇx

as geometric series, we obtain

1 0 X X  ˛k  ˇk  1 @X k kA xk ; f .x/ D p .˛x/  .ˇx/ D p 5 k0 5 k0 k1

and ˇ D

11.4 Some Applications

as long as jxj < min

489

n

1 1 1 2 ; j˛j ; jˇj

o

D 12 . Then,

X  ˛k  ˇk  xk ; Fk x D p 5 k1 k1

X

k

for every x 2 . 12 ; 12 /. Step IV: finally, Corollary 11.29 assures that the power series expansion of f is unique, so that the last equality above, together with the initial definition of f , n n gives Fn D ˛ pˇ for every n  1. 5 t u Proceeding similarly to the above example, we now use generating functions to give another proof of Theorem 3.16 (see also Problem 6). Theorem 11.45 Given u; v 2 R, with v ¤ 0, let .an /n1 be such that akC2 D uakC1 C vak for every k  1. Moreover, assume that the characteristic equation x2  ux  v D 0 has real roots ˛ and ˇ. (a) If ˛ ¤ ˇ, then an D A˛ n1 C Bˇ n1 for every n  1, where A and B are the A C B D a1 . solutions of the linear system ˛A C ˇB D a2 (b) If ˛ D ˇ, then an D.A C Bn/˛ n1 for n  1, where A and B are the solutions A C B D a1 of the linear system . .A C 2B/˛ D a2 Proof We start by showing that there exists q > 0 such that jan j  qn for every n  1. Indeed, assuming that jak j  qk and jakC1 j  qkC1 , it follows from the triangle inequality that jakC2 j D juakC1 C vak j  jujjakC1j C jvjjak j  jujqkC1 C jvjqk ; so that jakC2 j  qkC2 provided jujqkC1 C jvjqk  qkC2 or, which is the same, 2 jujqCjvj  q2 . Since the greatest root of the second degree equation x jujxjvj D p 1 2 2 0 is x0 D 2 juj C u C 4jvj , we get jujq C jvj  q whenever q > x0 . Hence,

2 jan j  qn for every n  1, as long p as ja1 j  q, ja2 j  q and q > x0 , for which it suffices to choose q > maxfja1 j; ja2 j; x0 g. Fix such a q, so that jan j  qn for every n  1. Lemma11.43 guarantees that P the generating function k1 ak xk converges in the interval  1q ; 1q , thus defining  P f W  1q ; 1q ! R by f .x/ D k1 ak xk . In order to get a simpler expression for f .x/, we argue as in the previous example, using the recurrence relation satisfied by the sequence .ak /k0 of the coefficients of f :

490

11 Series of Functions

f .x/ D

X

a k xk D a 1 x C a 2 x2 C

k1

X

a k xk

k3

X D a 1 x C a 2 x2 C .uak1 C vak2 /xk k3 2

D a1 x C a2 x C ux

X

ak1 xk1 C vx2

k3

X

ak2 xk2

k3

D a1 x C a2 x2 C ux.f .x/  a1 x/ C vx2 f .x/:  Therefore, .1  ux  vx2 /f .x/ D a1 x C .a2  ua1 /x2 for every x 2  1q ; 1q . Now, since ˛ and ˇ are the roots of x2  ux  v D 0, we get ˛ C ˇ D u and ˛ˇ D v. Hence, 1  ux  vx2 D .1  ˛x/.1  ˇx/, so that f .x/ D

a1 x C .a2  ua1 /x2 .1  ˛x/.1  ˇx/

(11.30)

1 1 for jxj < minf q1 ; j˛j ; jˇj g. Let’s look separately at cases (a) and (b):

(a) If ˛ ¤ ˇ, we decompose the right hand side of (11.30) in partial fractions,8 Ax Bx i.e., we take A; B 2 R such that f .x/ D 1˛x C 1ˇx . Obviously, such A and B  A C B D a1 , and one promptly notes that such a linear must satisfy ˇA C ˛B D ua1  a2 system has a single solution, exactly because ˛ ¤ ˇ. 1 1 and 1ˇx in geometric series, we get Expanding 1˛x f .x/ D Ax

X X .˛x/k C Bx .ˇx/k k0

k0

X D .A˛ k C Bˇ k /xkC1 k0

X D .A˛ k1 C Bˇ k1 /xk : k1

P Finally, comparing this last expression with the fact that f .x/ D k1 ak xk , we obtain ak D A˛ k1 C Bˇ k1 for every k  1. 2 2 ua1 /x . This time we (b) If ˛ D ˇ, then 2˛ D u, ˛ 2 D v and f .x/ D a1 xC.a .1˛x/2 try to decompose the right hand side of (11.30) in partial fractions by writing 8

A general theorem on the existence of partial fraction decomposition for quotients of polynomials will be seen in [5]. For the time being, we shall content ourselves to describe what such a theorem says in the simple cases we consider here.

11.4 Some Applications

491

Ax Bx f .x/ D 1˛x C .1˛x/ 2 , for some A; B 2 R. Obviously, such A and B must  A C B D a1 satisfy , and again this linear system has a unique solution, ˛A D ua1  a2 for v ¤ 0 ) ˛ ¤ 0. 1 and Expanding 1˛x of Problem 4), we get

1 .1˛x/2

i power series (for the second fraction with the aid

f .x/ D Ax

X

.˛x/k C Bx

k0

D

X

X

.k C 1/.˛x/k

k0

.A C B.k C 1//˛ k xkC1

k0

D

X

.A C Bk/˛ k1 xk :

k1

Finally, arguing as in the previous case we get ak D .A C Bk/˛ k1 for every integer k  1. t u Generating functions can also be used to deal with linear recurrence relations with nonconstant coefficients. To present such an example, we first need the following result. Proposition 0 C R/ ! R have power series expansions P 11.46 If f ; g W .x0  R; xP f .x/ D k0 ak .x  x0 /k and g.x/ D l0 bl .x  x0 /l , thenPthe function fg W .x0  n R; x0 C series expansion .fg/.x/ D n0 cn .x  x0 / , with P R/ ! R hasPpower n cn D kClDn ak bl D kD0 ak bnk . Proof Theorem 11.23 assures that the power series defining f and g converge absolutely in the interval .x0  R; x0 C R/. Hence, by Theorem 7.53 and for every x 2 .x0  R; x0 C R/, we have 0 f .x/g.x/ D @

X

10 ak .x  x0 /k A @

k0

D

D D

X

n0

kClDn

X

X

n0

kClDn

n0

1 bl .x  x0 /l A

l0

X

X

X

! ak .x  x0 /  bl .x  x0 / k

! ak bl .x  x0 /n

cn .x  x0 /n :

l

492

11 Series of Functions

Finally, note that Theorem 7.53 guarantees that the convergence of this last series is also absolute in the interval .x0  R; x0 C R/. t u Example 11.47 Let .an /n0 be the sequence such that a0 D 1, a1 D 1 and ak D 

ak1 C 2ak2 k

for every integer k  2. Compute an as a function of n. P k Solution Denoting by f .x/ D k0 ak x the generating function of the given sequence, let’s once again run through the previously described stages I to IV. Step I: once more we shall try to apply the comparison test for series, in the form of Lemma 11.43. Assuming that jak2 j  ˛ k2 , jak1 j  ˛ k1 , the triangle inequality gives jak j 

jak1 j ˛ k1 C 2jak2 j  C 2˛ k2 I k k

hence, we shall have jak j  ˛ k provided same,

˛ k1 k

C 2˛ k2  ˛ k or, which is the

˛ C 2  ˛2 : k Since such an inequality is true for ˛ D 2 and every k  2, and ja0 j  20 , ja1 j  21 , it follows by induction that jan j  2n for every integer n  1. Hence, the above mentioned lemma, together with the theory of power  series, guarantees that f is infinitely differentiable in the whole interval  12 ; 12 . Step II: writing the given recurrence relation as kak D ak1 C 2kak2 for k  2, we get f 0 .x/ D

X

kak xk1 D a1 C

k1

D a1 

X k2

X k2

ak1 xk1 C 2x

kak xk1 D a1 C

X

X .ak1 C 2kak2 /xk1 k2

kak2 xk2

k2

0

1 X X D a1  .f .x/  a0 / C 2x @ .k  2/ak2 xk2 C 2 ak2 xk2 A k2

k2

D a1 C a0  f .x/ C 2x.f 0 .x/ C 2f .x//: Taking into account that a1 C a0 D 0, we get f 0 .x/ D .4x  1/f .x/ C 2xf 0 .x/ or, which is the same, .2x  1/f 0 .x/ D .4x  1/f .x/:

11.4 Some Applications

493

In order to solve such a differential equation, first note that f is positive in the interval .r; r/, for some 0 < r  12 (for, f .0/ D a0 D 1 > 0 and f continuous imply f positive in some neighborhood of 0). Therefore, for jxj < r we can write 4x  1 1 f 0 .x/ D D 2  f .x/ 2x  1 2x  1 so that, for jxj < r  12 , ˇtDx Z ˇ D log f .x/ D log f .t/ˇ tD0

Z x D 2C 0

D 2x  Thus, for jxj < r 

1 2

x 0

1 2t  1

f 0 .t/ dt f .t/  dt

1 log.1  2x/: 2

we have f .x/ D e2x .1  2x/1=2 :

(11.31)

Step III: note that the power series expansion of e2x is given by (11.7), with a D 2, and holds in the whole real line: e2x D

X .2/k k0

kŠ

xk :

Hence, it follows from Example 11.36 and Proposition 11.46 that, for f given as in (11.31) and jxj < r  12 , we have 0 f .x/ D @

! 1 X 1 2l xl A xk A @ l l kŠ 2 l0

X .2/k k0

10

!! X .2/k 1 2l xn  l D l kŠ 2 n0 kClDn !! n X X .2/nl 1 2l xn  l D l .n  l/Š 2 n0 lD0 !! n nl X X 2l .1/ 2n xn : D l .n  l/Š 4 l n0 lD0 X

494

11 Series of Functions

P Step IV: comparing the last expression above with f .x/ D n0 an xn , it follows once more from the uniqueness of power series expansions that ! n X .1/nl 2l n : an D 2 4l .n  l/Š l lD0 t u All of the above results can be seen as sorts of discrete versions of the following result on ordinary differential equations: Theorem 11.48 Let x0 2 R, R > 0 and p; q W .x0 R; x0 CR/ ! R be given by their Taylor series centered at x0 . For ˛; ˇ 2 R, there exist a unique twice differentiable function f W .x0  R; x0 C R/ ! R such that  00 f C pf 0 C qf D 0 : (11.32) f .x0 / D ˛; f 0 .x0 / D ˇ Moreover, f is actually infinitely differentiable and given by its Taylor series centered at x0 . Interesting (and important) applications of the above result can be found, for instance, in Chap. 6 of [2], or in Chap. VI of [19]. We now discuss a particular case of it, referring to Problem 11.48 for a proof of the general case. See, also, Problem 4, page 510. Given real numbers a and b and a twice differentiable function f W R ! R such that f 00 C af 0 C bf D 0;

(11.33)

we say that the second degree equation 2 C a C b D 0

(11.34)

is the characteristic equation of (11.33). The discriminant  D a2  4b of (11.34) is said to be the discriminant of (11.33). Theorem 11.49 Let a and b be given real numbers and f W R ! R be a twice differentiable function satisfying (11.33). In the notations of the discussion above, there exist real constants A and B such that f .x/ D Af1 .x/ C Bf2 .x/ for every real x, where: (a) f1 .x/ D e 2 and f2 .x/ D xe 2 if  D 0. (b) f1 .x/ D e˛x and f2 .x/ D eˇx if  > 0 and ˛ andpˇ are the roots of (11.34).   px   ax  ax and f2 .x/ D e 2 sin x if  < 0. (c) f1 .x/ D e 2 cos 2 2 ax

ax

In particular, for given values of f .0/ and f 0 .0/, (11.33) has exactly one solution.

11.4 Some Applications

495

Proof First of all, writing f 00 D af 0 bf it is immediate that any solution of (11.33) is infinitely differentiable. Claim 1 f is given by its Taylor series in the whole real line. Fix M > 0 and choose C > 0 such that jf j  C and jf 0 j  C2 in ŒM; M. Since f .kC2/ C af .kC1/ C bf .k/ D 0 for every k 2 ZC , we get jf .kC2/ j  jajjf .kC1/j C jbjjf .k/ j: Thus, if jf .j/ j  CjC1 in ŒM; M for 0  j  k C 1, then jf .kC2/ j  jajCkC1 C jbjCk  CkC2 ; provided C2  jajC C jbj. Therefore, if we choose such a C from the beginning, we conclude that jf .n/ j  CnC1 in ŒM; M; 8 n  0: Now, for x 2 ŒM; M, Taylor’s formula gives f .x/ D

n1 .k/ X f .0/ kD0

kŠ

xk C

f .n/ .c/ n x ; nŠ

(11.35)

for some c 2 ŒM; M. However, since ˇ ˇ .n/ ˇ f .c/ n ˇ CnC1 n .CM/n n ˇ ˇ x M D C  ! 0; ˇ ˇ nŠ nŠ nŠ P f .k/ .0/ k letting n ! C1 in (11.35) we conclude that f .x/ D k0 kŠ x in ŒM; M. Actually, since M > 0 was arbitrarily chosen, this holds for every x 2 R. Claim 2 for given values of f .0/ and f 0 .0/, there is at most one solution for (11.33). (This claim will also establish the P uniqueness part of the theorem.) For simplicity, write f .x/ D k0 akŠk xk . It follows from Theorem 11.27 that f 0 .x/ D

X k1

and, analogously, f 00 .x/ D af 0 C bf D 0, we find

P k0

X akC1 ak xk1 D xk .k  1/Š kŠ k0 akC2 k x. kŠ

Substituting these expressions into f 00 C

X xk .akC2 C aakC1 C bak / D 0; kŠ k0

496

11 Series of Functions

and the uniqueness of power series expansions gives akC2 C aakC1 C bak D 0 for every k  0. However, since a0 D f .0/ and a1 D f 0 .0/, the sequence .ak /k0 , and hence the function f , is completely determined. Finally, to finish the proof it suffices to check, in each of the cases (a), (b) and (c), that: (i) the given functions f1 and f2 satisfy (11.33); (ii) for any given values for f .0/ and f 0 .0/, one is able to find real values for A and B such that Af1 .0/ C Bf2 .0/ D f .0/

: Af10 .0/ C Bf20 .0/ D f 0 .0/

Once this has been done, the uniqueness of solution, as established in Claim 2, allows us to conclude that f D Af1 C Bf2 . Checking items (i) and (ii) in each of (a), (b) and (c) is actually quite simple. For item (c), for instance, item (ii) amounts to showing that the system of equations a A D f .0/;  A C 2

p  B D f 0 .0/ 2

always has a solution, which is immediate. As for (i), one just needs to compute fi0 and fi00 for i D 1; 2, then showing that fi00 Cafi0 Cbfi D 0. We leave this as an exercise to the reader. t u Remark 11.50 Note that the prescription of the values of f .0/ and f 0 .0/, instead of f .x0 / and f 0 .x0 / for some x0 2 R, is irrelevant. Indeed, letting g.x/ D f .x C x0 /, we have g.0/ D f .x0 /, g0 .0/ D f 0 .x0 / and g00 C ag0 C bg D 0, so that we can apply the previous result to find g and then find f .x/ D g.x  x0 /. Example 11.51 Find all differentiable functions f ; g W R ! R such that f .0/ D 0, g.0/ D 1, f 0 D f C g and g0 D 2f . Solution Since f 0 D f C g, which is a differentiable function, we conclude that f is twice differentiable. Then f 00 D f 0 C g0 D f 0 C 2f or, which is the same, f 00  f 0  2f D 0: Now, the second degree equation 2    2 D 0 has real roots 2 and 1, so that the previous theorem gives f .x/ D Ae2x C Bex for every real x. Since f .0/ D 0 and f 0 .0/ D f .0/ C g.0/ D 1, we get A C B D f .0/ D 0 and 2A  B D f 0 .0/ D 1. Solving such a system of equations, it follows that A D 13 and B D  13 , so that     t u f .x/ D 13 e2x  ex and g.x/ D f 0 .x/  f .x/ D 23 e2x C 2ex .

11.4 Some Applications

497

Problems: Section 11.4 1. Compute the number of nonnegative integer solutions of the equation a1 C a2 C    C ak D m; where k and m are given natural numbers. 2. Compute the number of nonnegative integer solutions of the equation a1 C a2 C a3 C a4 D 20, such that a1  2 and a3  7. 3. Generalize the result of Proposition 11.46, showing that if f W .x0 R; x0 CR/ ! P R is given by f .x/ D a .x  x0 /n , then for k 2 N we have f .x/k D n n0 P n n0 cn .x  x0 / , where cn D

X

ai1 ai2 : : : aik

and the above sum extends over all k-tuples .i1 ; : : : ; ik / of nonnegative integers satisfying i1 C    C ik D n. 4. In the notations of the discussion of Example 11.42, prove that a1 a2 am mC1 : C CC D d1 d2 dm 2 5. Use generating functions to find an as a function of n, where .an /n1 is given by a1 D 2 and akC1 D ak C .k C 1/ for k  1. 6. Use the methods of this section to give another proof to Theorem 3.19. 7. The sequence .an /n0 is given by a0 D 1 and anC1 D 2an C n for n  0. In order to compute an as a function of n, do the following items: (a) If an  ˛ n , show that anC1  ˛ nC1 as long as ˛ n .˛ 2/  n; then, conclude that an  3n for every n  0. (b) Show that the generating function of .an /n0 converges in the interval  1 1 12xC2x2  3 ; 3 and is given by f .x/ D .1x/ 2 .12x/ . (c) Find real constants A, B and C such that 1  2x C 2x2 A C B D C : C .1  x/2 .1  2x/ .1  x/2 1x 1  2x (d) Expand each of the functions of the right hand side above in power series to conclude that an D 2nC1  .n C 1/ for n  0. 8. Let .an /n0 be given by a0 D 1, a1 D 3, a2 D 5 and akC3 D akC2 C 12 akC1  1 a for every integer k  0. The purpose of this problem is to show that .an /n0 2 k converges and to compute the corresponding limit. To this end, do the following items:

498

11 Series of Functions n (a) Show that jan j  5P for every integer n  0. Then, conclude that the radius of convergence of k0 ak xk is at least 15 . P (b) If f W . 15 ; 15 / ! R is given by f .x/ D k0 ak xk , use the given recurrence 15x2 8xC2 . .x1/.x2 2/ A Bp Cp x1 C x 2 C xC 2 ,

relation to get f .x/ D

(c) Writing f .x/ D 1 1 px

in 2

1 1C px

show that A D 9. Then, expand

1 1x ,

power series to get 2

 X B C .1/k1 C k p f .x/ D 9  x: . 2/kC1 k0 (d) Conclude that an D 9 

BC.1/n1 C p . 2/nC1

n

for n  0, and hence that an ! 9.

9. (Putnam) Let u; v; w W R ! R be given by the power series expansions u.x/ D 1 C

x3 x6 x9 C C C 3Š 6Š 9Š

v.x/ D x C

x4 x7 x10 C C C 4Š 7Š 10Š

w.x/ D

x5 x8 x11 x2 C C C C 2Š 5Š 8Š 11Š

Prove that, for every real x, one has u.x/3 C v.x/3 C w.x/3 D 3u.x/v.x/w.x/ C 1: 10. The purpose of this problem is to give a proof of Theorem 11.48. To this end, let X X bk .x  x0 /k and q.x/ D ck .x  x0 /k p.x/ D k0

k0

in the interval .x0  R; x0 C R/ and do the following items: P (a) If f .x/ D k0 ak .x  x0 /k in the interval .x0  R; x0 C R/ and f satisfies f 00 C pf 0 C qf D 0, show that .k C 2/.k C 1/akC2 C

k X 

 .j C 1/bkj ajC1 C ckj aj D 0

jD0

for every k  0. Then, conclude that a2 , a3 , a4 , . . . are uniquely determined by a0 D f .x0 /, a1 D f 0 .x0 /, p and q.

11.5 A Glimpse on Analytic Functions

499

(b) Let a0 D ˛, a1 D ˇ and 0 < r < R be given. If jx  x0 j < r,  D 1r jx  x0 j and Ak D jak .x  x0 /k j for k  0, show that .k C 2/.k C 1/AkC2

k X  .j C 1/jbkj jrkjC1 kj AjC1 jD0

C

k X

jckj jrkj kjC2 Aj :

jD0

(c) Let B; C > 0 such that jbk jrk  B and jck jrk  C for every k  0. If M D maxfBr; Cg, show that .k C 2/.k C 1/AkC2  M

kC1 X .j C 1/kC1j Aj : jD0

(d) Let .AQ k /k0 be defined by AQ 0 D A0 , AQ 1 D A1 and .k C 2/.k C 1/AQ kC2 D M

kC1 X .j C 1/kC1j AQ j : jD0

Show that Ak  AQ k for every k  0. (e) If AQ 0 ¤ 0 or AQ 1 ¤ 0, show that AQ k > 0 for every k  2. Then, show that AQ kC2 k.k C 1/ C M.k C 2/ k D !  < 1: .k C 2/.k C 1/ AQ kC1 P (f) Conclude that k0 AQ k converges, and that this implies the convergence of P P k k0 Ak . Then, note that this is the same as saying that k0 ak .x  x0 / is absolutely convergent in .x0  r; x0 C r/. Finally, show that f , given as in (a), is well defined and does satisfy (11.32).

11.5 A Glimpse on Analytic Functions In this section, we show that a function defined by a power series is analytic, i.e., is given by a convergent power series around each point of its interval of convergence. We also study the set of zeros of an analytic function and use the results we get to give purely analytic derivations of the properties of the sine and cosine functions. Our purpose in doing so is to show the reader that all of the arguments we have done so far concerning these functions are actually independent of any

500

11 Series of Functions

considerations on the geometry of circles. As we anticipated in Remark 9.12 and now reinforce in a slightly different way, this is not a simple pedantism, for: (i) the proof we have given for the formula sin0 x D cos x relied upon the fundamental trigonometric limit (cf. Lemma 9.11); (ii) in turn, the proof of that result made use of the formula for the area of a circular sector; (iii) then, in Example 10.43 we computed the area of a circle of radius R by using the change of variables formula to reduce it to a simple application of the FTC, which relies upon the fact that sin0 x D cos x. Hence, if we are not able to free the properties of the sine and cosine functions from the geometry of the circle, we will be forced to conclude that all of the arguments related to items (i), (ii) and (iii) above—and, therefore, to a large part of this book—are totally fallacious. We begin our presentation with the following Definition 11.52 Let I  R be an open interval. A function f P W I ! R is analytic if, for every x0 2 I, there exists R > 0 and a power series k0 ak xk such that P .x0  R; x0 C R/  I and f .x/ D k0 ak xk for every x 2 .x0  R; x0 C R/. As we pointed out in the beginning of this section, a function defined by a power series in an open interval .x0  R; x0 C R/ (possibly with R D C1) is analytic. In order to prove this, we need the following result on double series which is interesting in itself. P Proposition 11.53 For each P j; k 2 P ZC , let ajk 2 R be given, such that k0 jajk j converges for each j  0 and j0 k0 jajk j also converges. Then: P P (a) Pk0 P ajk converges P for each P j  0 and j0 ajk converges for each k  0. (b) j0 k0 ajk and k0 j0 ajk converge and XX j0 k0

ajk D

XX

ajk :

(11.36)

k0 j0

Proof First of all, given m; n 2 N, our hypothesis gives m n X X kD0 jD0

jajk j D

n m X X

jajk j 

jD0 kD0

m X X jD0 k0

jajk j 

XX j0 k0

Hence, letting m ! C1 we get n X X kD0 j0

jajk j 

XX j0 k0

jajk j < C1;

jajk j < C1:

11.5 A Glimpse on Analytic Functions

501

P for every n 2 N. Therefore, j0 jajk j < C1 for every k  0 and, letting n ! C1 in the above inequality, we get XX

jajk j 

k0 j0

XX

jajk j < C1:

j0 k0

P P Thus, k0 j0 jajk j also converges. P Now we can prove (a) and (b), except for (11.36): since j0 jajk j converges for ˇ ˇP P ˇ ˇ every k  0, it is also true that j0 ajk converges for every k  0, with ˇ j0 ajk ˇ  P j0 jajk j. Summing this inequality over k  0, we get X ˇˇ X ˇˇ X X ajk ˇ  jajk j < C1: ˇ k0

j0

k0 j0

P P Therefore, k0 j0 ajk is absolutely convergent, hence convergent. P Arguing in an entirely analogous way, we conclude that both of the series k0 ajk and P P a are (absolutely) convergent. jk k0 j0 ˇ ˇP P P P ˇ ˇ In order to prove (11.36), let  D ˇ j0 k0 ajk  k0 j0 ajk ˇ. Then, for m; n 2 N, we have m X n X ˇX XX X X ˇˇ X ˇ  Dˇ ajk C ajk  ajk  ajk ˇ jD0 k0

j>m k0

kD0 j0

k>n j0

m X n X ˇX ˇ ˇXX ˇ ˇXX ˇ X ˇ ˇ ˇ ˇ ˇ ˇ ˇ ajk  ajk ˇ C ˇ ajk ˇ C ˇ ajk ˇ: jD0 k0

kD0 j0

j>m k0

k>n j0

P P P P Let  > 0 be given. Since j0 k0 jajk j and k0 j0 jajk j converge, we can choose m0 ; n0 2 N such that XX XX m  m0 ) jajk j <  and n  n0 ) jajk j < : j>m k0

k>n j0

ˇ ˇ ˇP P ˇP P ˇ ˇ ˇ ˇ In turn, this gives ˇ j>m k0 ajk ˇ <  and ˇ k>n j0 ajk ˇ < , so that, with m  m0 and n  n0 , we get in the above estimate for 

502

11 Series of Functions

m n m X n X ˇXX ˇX ˇ ˇ XX X ˇ ˇ ˇ ˇ  ˇ ajk  ajk ˇ C 2 D ˇ ajk  ajk ˇ C 2 jD0 k0

kD0 j0

k0 jD0

j0 kD0

m n m n n X m X ˇX ˇ ˇXX ˇ ˇXX ˇ X ˇ ˇ ˇ ˇ ˇ ˇ ˇ ajk  ajk ˇ C ˇ ajk ˇ C ˇ ajk ˇ C 2 kD0 jD0



m XX

k>n jD0

jD0 kD0

jajk j C

k>n jD0

n XX

jajk j C 2 

j>m kD0

XX

j>m kD0

jajk j C

k>n j0

XX

jajk j C 2 < 4:

j>m k0

t u We are now in position to prove the following Theorem 11.54 If f W .x0  R; x0 C R/ ! R is given by the power series f .x/ D P k for a given y0 2 .x0 R; x0 CR/, k0 ak .xx0 / , then f is analytic. More precisely, P there exist b0 ; b1 ; b2 ; : : : 2 R such that f .x/ D k0 bk .x  y0 /k in .y0  r; y0 C r/, where r D R  jy0  x0 j > 0. Proof First of all, note that .y0  r; y0 C r/  .x0  R; x0 C R/. Now, for x 2 .y0  r; y0 C r/, we can write f .x/ D

X

ak .x  x0 /k D

k0

D

X

!

ak

k0

X

 k ak .x  y0 / C .y0  x0 /

k0

k X k .y0  x0 /kj .x  y0 /j : j jD0

If we can change the order of the sums in the last expression above, we will get f .x/ D

XX j0

Letting bj D

P

k kj ak j .y0

ak

kj

! k .y0  x0 /kj .x  y0 /j : j

 x0 /kj , we will have f .x/ D

X

bj .x  y0 /j ;

j0

thus finishing the proof. Therefore, we are left to justifying the equality ! ! k XX X k k kj j .y0  x0 / .x  y0 / D .y0  x0 /kj .x  y0 /j : ak ak j j kj k0 jD0 j0

X

11.5 A Glimpse on Analytic Functions

503

According to the last proposition, this will be true provided ! k jak j jy0  x0 jkj jx  y0 jj < C1: j jD0

k XX k0

However, this expression equals X

 k jak j jy0  x0 j C jx  y0 j ;

k0

which is finite, for jy0  x0 j C jx  y0 j < jy0  x0 j C r D R and absolutely for u 2 .R; R/.

P k0

ak uk converges t u

We show next that the set of zeros of an analytic function f W I ! R do not accumulate on I. To this end, we first need a formal definition of this concept. Definition 11.55 Given X  R and a 2 R, we say that a is an accumulation point of X if there exists a sequence .an /n1 of pairwise distinct elements of X such that n an ! a. Theorem 11.56 Let I  R be an open interval, f W I ! R be an analytic function and Z D fx 2 II f .x/ D 0g. The following conditions are equivalent: (a) Z has no accumulation point in I. (b) There exists x0 2 I such that f .k/ .x0 / D 0 for every integer k  0. (c) f vanishes identically. Proof (a) ) (b): let x0 2 I be an accumulation point of Z, say x0 D limn!C1 xn , where .xn /n1 is a sequence of pairwise distinct elements of Z. Since f .xn / D 0 for every n  1, the continuity of f gives f .x0 / D 0. By contradiction, assume that there exists an integer k0  1 such that f .k0 / .x0 / ¤ 0. Without loss of generality, we can assume that k0 is minimum with such a property. By the analyticity of f , we can choose R > 0 such that .x0  R; x0 C R/  I and, in such an interval, f .x/ D

X f .k/ .x0 / X f .k/ .x0 / .x  x0 /k D .x  x0 /k0 .x  x0 /kk0 : kŠ kŠ kk kk 0

0

P f .k/ .x0 / kk0 If g.x/ D , then the series which defines g converges in kk0 kŠ .x  x0 / f .x/ .x0  R; x0 C R/ n fx0 g (for g.x/ D .xx k in such an interval). Since it obviously 0/ 0 converges at x0 , we conclude that g is continuous in .x0  R; x0 C R/, with g.x0 / D f .k0 / .x0 / ¤ 0. By the sign preserving lemma for continuous functions, there exists k0 Š 0 < ı  R such that g ¤ 0 on .x0  ı; x0 C ı/. Since f .x/ D g.x/.x  x0 /k0 in this last interval, we conclude that f ¤ 0 in .x0  ı; x0 C ı/ n fx0 g. But this contradicts the fact that xn 2 .x0  ı; x0 C ı/ n fx0 g for every sufficiently large n.

504

11 Series of Functions

(b) ) (c): let x0 2 I be such that f .k/ .x0 / D 0 for every integer k  0, and let R be the radius of convergence of the power series defining f around x0 . Then, for x 2 .x0  R; x0 C R/ we have f .x/ D

X f .k/ .x0 / .x  x0 /k D 0; kŠ kk 0

i.e., f vanishes identically in .x0  R; x0 C R/. Let’s use this fact to show f vanishes identically in I \ Œx0 ; C1/. By contradiction, assume that there would exist a 2 I \ Œx0 ; C1/ such that f .a/ ¤ 0. If A D fx 2 I \ Œx0 ; C1/I f .x/ ¤ 0g; then A ¤ ; (since a 2 A) and x0 C R is a lower bound for A; therefore, A has an infimum x00 , which obviously satisfies x0 C R  x00  a. Hence, x00 2 I and, since x00 is the greatest lower bound of A, we conclude that Œx0 ; x00 / \ A D ;. This is the same as saying that f vanishes identically on Œx0 ; x00 /, hence on Œx0 ; x00 . In turn, this gives that f .k/ .x00 / D 0 for every integer k  0. Now, an argument analogous to the one in the previous paragraph guarantees the existence of R0 > 0 such that f .x/ D 0 for every x 2 .x00  R0 ; x00 C R0 /. Therefore, x0 could not be the infimum of A, which is an absurd. Finally, by the same token one can prove that f vanishes identically in I \ .1; x0 , so that f vanishes identically in I. (c) ) (a): obvious! t u We now collect two straightforward consequences of the previous result which will be useful for what comes next. Corollary 11.57 Let I  R be an open interval and f ; g W I ! R be analytic functions. If f .j/ .x0 / D g.j/ .x0 / for some x0 2 I and every integer j  0, then f D g. Proof Letting h D f  g, we get h.j/ .x0 / D 0 for every integer j  0. Since h is also analytic on I, the previous result guarantees that h vanishes identically on I, and this is the same as having f D g. t u Corollary 11.58 Let f W .R; R/ ! R be an analytic function, possibly with R D C1. If f vanishes somewhere in .0; R/ but doesn’t vanish identically, then f has a smallest positive zero. More precisely, there exists a 2 .0; R/ such that f .a/ D 0 but f doesn’t change sign on .0; a/. Proof Otherwise, there would exist a sequence .xn /n1 of zeros of f in .0; R/, with x1 > x2 >    . If x0 D limn!C1 xn , then x0 would be an accumulation point of the set of zeros of f in Œ0; R/, hence in its interval of convergence. By the previous result, f would vanish identically, which is a contradiction. t u We are now in position to undertake a purely analytical development of Trigonometry. To this end, first notice that if sin and cos are to satisfy sin0 D cos

11.5 A Glimpse on Analytic Functions

505

and cos0 D  sin, then they are infinitely differentiable and ultimately must be given by their Taylor series centered at 0, as in Example 11.4. The key to free Trigonometry from Euclidean Geometry is to turn this around, defining sin and cos by means of those power series. Therefore, we start by letting f .x/ D

X .1/j1 x2j1 .2j  1/Š j1

and g.x/ D

X .1/j j0

.2j/Š

x2j

(11.37)

for every x 2 R. The analytic foundations of Trigonometry are the content of the four coming results. Proposition 11.59 With notations as above, we have that: (a) f and g are well defined and analytical, with f odd and g even. (b) f .4k/ D f , f .4kC1/ D g, f .4kC2/ D f , f .4kC3/ D g and g.4k/ D g, g.4kC1/ D f , g.4kC2/ D g, g.4kC3/ D f , for every integer k  0. (c) f and g are nonconstant and such that f .x/2 C g.x/2 D 1 for every x 2 R. (d) f .x C y/ D f .x/g.y/ C f .y/g.x/ and f .x  y/ D f .x/g.y/  f .y/g.x/ for every x; y 2 R. In particular, f .2x/ D 2f .x/g.x/ for every x 2 R. P k Proof (a) The convergence of k0 jxjkŠ , together with the comparison test for series, assures the absolute convergence, in the whole real line, of both power series in (11.37). Then, Theorem 11.54 shows that they are analytical functions. Now, the oddness of f and the evenness of g follow from their very definitions. (b) Theorem 11.27 gives f 0 .x/ D

X .1/j1 X .1/i x2j2 D x2i D g.x/I .2j  2/Š .2i/Š j1 i0

analogously, g0 D f . Now, f 00 D g0 D f , g00 D .f /0 D g and the given relations easily follow by induction. (c) It follows from (b) that .f 2 Cg2 /0 D 2ff 0 C2gg0 D 2fgC2g.f / D 0. Therefore, f 2 C g2 is constant and, since f .0/ D 0 and g.0/ D 1, we get f .x/2 C g.x/2 D 1 for every x 2 R. Also, f 0 .0/ D g.0/ D 1 and g00 .0/ D g.0/ D 1 assure that f and g are nonconstant. (d) For a fixed y 2 R, let h.x/ D f .x C y/ and l.x/ D f .x/g.y/ C f .y/g.x/. By the chain rule, h; l W R ! R are infinitely differentiable. Moreover, by item (b) and the chain rule again, these functions satisfy 

h00 C h D 0 on R and h.0/ D f .y/; h0 .0/ D f 0 .y/



l00 C l D 0 on R l.0/ D f .y/; l0 .0/ D g.y/

Since f 0 .y/ D g.y/, the uniqueness part of the proof of Theorem 11.49 (which did not depend on any properties of sin and cos) guarantees that h D l.

506

11 Series of Functions

Now, the first formula, together with the fact that f is odd and g is even, gives f .x  y/ D f .x/g.y/ C f .y/g.x/ D f .x/g.y/  f .y/g.x/: Finally, the expression for f .2x/ also follows from the first formula, once we let y D x. u t Proposition 11.60 The function f has a smallest positive zero. Proof Start by observing that, with item (b) of the above proposition at our disposal, the results of Problem 4, page 325 remain true for f and g in place of sin and cos, respectively, so that x

x3  f .x/  x 3Š

and g.x/  1 

x2 2Š

for every x  0. In turn, this gives f .x/  x 

x5 x3 C 3Š 5Š

and g.x/  1 

x2 x4 C 2Š 4Š

for every x  0. For instance, for x  0 one has x2 x4 x3 d g.x/  1 C  D f .x/ C x   0; dx 2Š 4Š 3Š 2

4

so that g.x/  1 C x2Š  x4Š  g.0/  1 D 0. p 3 Now, the maximum of x  x3Š for x  0 is attained at x D 2 (check it!). Therefore, it follows from the above that p p f . 2/  2  On the other hand, the minimum of 1   2 (check it too!). Since f .x/  x 1  x2Š C

p 3 p 2 2 2 D : 3Š 3

4 x2 C x for 2Š 4Š x4 4Š for x 

x  0 is attained at x D

p

10

0, this gives

p 4 p p 2 p p  10 10 10 f . 10/  10 1  C D : 2Š 4Š 6 p p p the IVT (applied to the intervals Œ0; 2 and Œ 2; 10 p p p assures the existence of 0 < ˛ < 2 < ˇ < 10 such that f .˛/ D f .ˇ/ D 610 . Then, the MVT of Lagrange gives  2 .˛; ˇ/ such that f 0 . / D 0. It follows from the last part of item (d) of the previous proposition that Since

p 2 2 3

>

p 10 6 ,

f .2 / D 2f . /g. / D 2f . /f 0 . / D 0;

11.5 A Glimpse on Analytic Functions

507

so that f has a positive root. Since f doesn’t vanish identically, Corollary 11.58 shows that it has a smallest positive zero, as wished. t u From now on, we let  denote the smallest positive zero of f . The last part of item (d) of Proposition 11.59 gives   g ; 2 2   and since f is positive on .0; / this shows that g 2 D 0. Item (c) of Proposition 11.59 allows us to write r   2  D ˙ 1g D ˙1; 0 g./ D ˙ 1  f ./2 D ˙1; we conclude that g./ D 1. The rest follows from Theorem 8.35. (b) This follows directly from Theorem 9.28. Indeed, since f ¤ 0 in .0; /, we get for x 2 .0; / that g0 .x/ D f .x/ ¤ 0. (c) Item (c) of Proposition 11.59 gives Im.g/  Œ1; 1. Then, item (a) above gives Im.g/ D Œ1; 1, from where (11.38) gives Im.f / D Œ1; 1. (d) An application of item (d) of Proposition 11.59, together with g./ D 1, gives f .x C / D f .x/g./ C f ./g.x/ D f .x/: Therefore, f

 3 2

Df



 C  D f D 1 2 2

508

11 Series of Functions

and, hence, g

 3 2

r D ˙ 1f

 3 2 2

D 0:

In turn, (11.38) gives     D f x C g.x C / D f  x  2 2   D f .x/g f g.x/ D g.x/: 2 2 (e) Firstly, two applications of (d) give   f .x C 2/ D f .x C / C  D f .x C / D f .x/ and, analogously, g.x C 2/ D g.x/. Now, let p > 0 be such that f .x C p/ D f .x/ for every x 2 R. Then f .p/ D f .0/ D 0, so that p   (for,  is the smallest positive zero of f ). Since f .x C / D f .x/ and f is not identically zero, we also have p ¤ . If  < p < 2, then 0 < p   <  and f .p  / D f .p/g./  f ./g.p/ D 0; so that p    . Therefore, p  2, and 2 is the smallest p > 0 such that f .x C p/ D f .x/ for every x 2 R. Finally, we leave to the reader the (analogous) task of checking that 2 is the smallest p > 0 such that g.x C p/ D g.x/ for every x 2 R. t u Our final result shows that f and g parametrize the unit circle of the cartesian plane. Proposition 11.62 For every point .x; y/ in the unit circle x2 C y2 D 1 of the cartesian plane, there exists a unique 2 Œ0; 2/ such that x D g. / and y D f . /. Moreover, if y0  0, then can be chosen in the interval Œ0; . Also, as varies from 0 to 2, the point .g. /; f . // turns around the circle exactly once. Proof For the existence part, let .x0 ; y0 / belong to the unit circle, so that x20 Cy20 D 1. Since g is periodic of period 2 and Im.g/ D Œ1; 1, there exists ˛ 2 Œ0; 2/ such that x0 D g.˛/. Therefore, y20 D 1  x20 D 1  g.˛/2 D f .˛/2 ; so that y0 D ˙f .˛/. If y0 D f .˛/, let D ˛. If y0 D f .˛/, then the evenness g, the oddness of f and their periodicity give x0 D g.˛/ D g.˛/ D g.2  ˛/ ; y0 D f .˛/ D f .˛/ D f .2  ˛/ and it suffices to let D 2  ˛.

11.5 A Glimpse on Analytic Functions

509

For the uniqueness part, assume, for the sake of contradiction, that there exist 0  1 < 2 < 2 such that .x0 ; y0 / D .g. 1 /; f . 1 // D .g. 2 /; f . 2 //. Then, f . 2  1 / D f . 2 /g. 1 /  f . 1 /g. 2 / D 0; with 0 < 2  1 < 2. Since  is the smallest positive zero of f and the next one is 2, this gives 2  1 D . However, if this is so, then x0 D g. 2 / D g. 1 C / D g. 1 / D x0 ; y0 D f . 2 / D f . 1 C / D f . 1 / D y0 so that x0 D y0 D 0. This is a contradiction to the fact that .x0 ; y0 / belongs to the unit circle. We leave the rest as an (easy) exercise to the reader. t u At this point, the reader might perhaps want to look again at Example 10.80 to realize that, in view of the four propositions above, that result gives a genuine proof of the fact that the unit circle has length 2. On the one hand, this validates the whole construction of the trigonometric functions, as usually done in elementary school Trigonometry. On the other, Leibniz formula for  (cf. Problem 9, page 484) provides a purely analytical way of getting numerical approximations for , which can be used to get the usual estimate  Š 3:14159, with five correct decimal places.

Problems: Section 11.5 1. Prove that, for every integer k  1, 2k 2kC1 X X .1/j1 .1/j1 2j1 x x2j1  sin x  .2j  1/Š .2j  1/Š jD0 jD0

and 2k1 X jD0

2k

X .1/j .1/j 2j x  cos x  x2j : .2j/Š .2j/Š jD0

2. One can prove that if I; J  R are open intervals and g W I ! J and f W J ! R are analytic, then so is f ı g W I ! R. Use this fact to show that log W .0; C1/ ! R is analytic and to find its Taylor series expansion around x0 > 0.

510

11 Series of Functions

3. Prove the following theorem of S. Bernstein9 : let I  R be an open interval, f W I ! R be infinitely differentiable and such that f .n/ .x/  0 for every x 2 I and every sufficiently large natural n. Then, f is analytic. 4. Let I  R be an open interval and p; q W I ! R be analytic functions. The purpose of this problem is to show that, for ˛; ˇ 2 R and x0 2 I, there exists a unique analytic function f W I ! R such that 

f 00 C pf 0 C qf D 0 : f .x0 / D ˛; f 0 .x0 / D ˇ

(11.39)

To this end, do the following items: (a) Show that (11.39) has at most one solution. (b) Show that there exist some open interval J  I, containing x0 , and an analytic function fJ W J ! R satisfying (11.39). (c) If J is as in (b) and J ¤ I, show that there exist an interval J 0  I, properly containing J, and an analytic function fJ 0 W J 0 ! R satisfying (11.39) and such that fJ 0 D fJ along J. (d) Finish the proof of the problem.

9

After S. N. Bernstein, Russian mathematician of the XX century.

Bibliography

1. 2. 3. 4.

S. Abbott, Understanding Analysis (Springer, New York, 2001) T. Apostol, Calculus, vol. 2 (Wiley, New York, 1967) T. Apostol, Introduction to Analytic Number Theory (Springer, New York, 1976) A. Caminha, An Excursion Through Elementary Mathematics II - Euclidean Geometry (Springer, New York, 2018) 5. A. Caminha, An Excursion Through Elementary Mathematics III - Discrete Mathematics and Polynomial Algebra (Springer, New York, 2018) 6. L.W. Cohen, G. Ehrlich, The Structure of the Real Number System (Literary Licensing, Whitefish, 2012) 7. K. Davidson, A. Donsig, Real Analysis with Real Applications (Prentice Hall, Inc., Upper Saddle River, 2002) 8. M.P. do Carmo, Differential Geometry of Curves and Surfaces (Prentice-Hall, Inc., Englewood Cliffs, 1976) 9. D.G. de Figueiredo, Análise I (in Portuguese) (LTC, Rio de Janeiro, 1996) 10. D.G. de Figueiredo, Análise de Fourier e Equações Diferenciais Parciais (in Portuguese) (IMPA, Rio de Janeiro, 2012) 11. D.G. de Figueiredo, Números Irracionais e Transcendentes (in Portuguese) (Brazilian Mathematical Society, Rio de Janeiro, 2002) 12. O. Foster, Lectures on Riemann Surfaces (Springer, New York, 1981) 13. C. Goffman, Real Functions (Rinehart & Company, Inc., New York, 1953) 14. C.R. Hadlock, Field Theory and Its Classical Problems (MAA, Washington, 1978) 15. P.R. Halmos, Naive Set Theory (Springer, New York, 1974) 16. D. Hilbert, Foundations of Geometry (Open Court Publ. Co., Peru, 1999) 17. H. Hochstadt, The Functions of Mathematical Physics (Dover, Mineola, 1986) 18. K. Hoffman, R. Kunze, Linear Algebra (Prentice-Hall, Boston, 1971) 19. D. Kreider, R. Küller, D. Ostberg, F. Perkins, An Introduction to Linear Analysis (AddisonWesley Publ. Co., Boston, 1966) 20. W. Rudin, Principles of Mathematical Analysis (McGraw-Hill, Inc, New York, 1976) 21. E. Scheinerman, Mathematics, a Discrete Introduction (Cengage Learning, Boston, 2012) 22. G.F. Simmons, Calculus Gems. Brief Lives and Memorable Mathematics, 3rd edn. (McGrawHill, Inc., New York, 1992) 23. G.F. Simmons, Differential Equations with Applications and Historical Notes, 3rd edn. (Chapman and Hall/CRC, Boca Raton, 2016) 24. E. Stein, R. Shakarchi, Fourier Analysis, an Introduction (Princeton University Press, Princeton, 2003) 25. I. Stewart, Why Beauty Is Truth: A History of Symmetry (Basic Books, New York, 2008) © Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6

511

512

Bibliography

26. M.B.W. Tent, The Prince of Mathematics: Carl Friedrich Gauss (A.K. Peters Ltd, Wellesley, 2006) 27. R. Wheeden, A. Zygmund, Measure and Integral: An Introduction to Real Analysis (Chapman & Hall, New York, 1977)

Appendix A

Glossary

Problems tagged with a country’s name refer to any round of the corresponding national mathematical olympiad. For example a problem tagged “Brazil” means that it appeared in some round of some edition of the Brazilian Mathematical Olympiad. Problems proposed in other mathematical competitions, or which appeared in mathematical journals, are tagged with a specific set of initials, as listed below: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20.

APMO: Asian-Pacific Mathematical Olympiad. Austrian-Polish: Austrian-Polish Mathematical Olympiad. BMO: Balkan Mathematical Olympiad. Berkeley: Berkeley Preliminary Examination. Baltic Way: Baltic Way Mathematical Contest. Crux: Crux Mathematicorum, a mathematical journal of the Canadian Mathematical Society. EKMC: Eötvös-Kürschák Mathematics Competition (Hungary). IMO: International Mathematical Olympiad. IMO shortlist: problem proposed to the IMO, though not used. Israel-Hungary: Binational Mathematical Competition Israel-Hungary. Miklós-Schweitzer: The Miklós-Schweitzer Mathematics Competition (Hungary). NMC: Nordic Mathematical Contest. OCM: State of Ceará Mathematical Olympiad. OCS: South Cone Mathematical Olympiad. OBMU: Brazilian Mathematical Olympiad for University Students. OIM: Iberoamerican Mathematical Olympiad. OIM shortlist: problem proposed to the OIM, though not used. OIMU: Iberoamerican Mathematical Olympiad for University Students. Putnam: The William Lowell Mathematics Competition. TT: The Tournament of the Towns.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6

513

Appendix B

Hints and Solutions

Section 1.1 1. Write ab D dc D r, thus obtaining a D br, c D dr and, then, a ˙ c D r.b ˙ d/. 2. Let x D 0:a1 a2 a3 : : : and suppose that the sequence .a1 ; a2 ; a3 ; : : :/ is periodic from some point on, as in (1.3), say. If y 2 N is the integer with decimal representation b1 b2 : : : bp , conclude that 10lCp x D yC10l x, so that x D 10lCpy10p , a rational number. Conversely, let x D ab , with a; b 2 N and 0 < a  b. If yk 2 N is the integer with decimal representation a1 a2 : : : ak , use the division algorithm to conclude that 10k a D byk C rk , with 0  rk < b. Then, use the fact that there is only a finite number of possibilities for rk to assure the existence of natural numbers l and p such that rlCp D rl . From this point on, conclude that the list .a1 ; a2 ; a3 ; : : :/ is as in (1.3), with b1 D alC1 , b2 D alC2 , . . . , bp D alCp . 3. Adapt, to the present case, the proof of the uniqueness of additive inverses, changing C by  and 0 by 1. 4. Start by observing that 0 D 0  a D .1 C .1//a D 1  a C .1/a D a C .1/a; then, use the uniqueness of additive inverses. 5. Among the given decimal representations, the only one that does not correspond to a rational number is that of item (d); in order to prove this claim, observe that, in the given decimal representation, there will be arbitrarily long sequences of zeros. In order to write the numbers of items (a), (b) and (c) as irreducible fractions, follow the steps suggested in the hint to Problem 2.

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6

515

516

B Hints and Solutions

Section 1.2 1. For items (b) and (c), use (7’) and (a); item (g) follows from items (b) and (c). 2. with equality if and only if a D b D c D 0. Adapt the proof of Corollary 1.5. 3. For item (a), observe that .rs/n D .rs/    .rs/ D .„ƒ‚… r    r /  .„ƒ‚… s    s / D rn sn . For „ ƒ‚ … n

4. 5. 6. 7. 8. 9.

10. 11.

12. 13.

14. 15.

16.

17.

n

n

the other items, apply analogous arguments. Consider separately the cases m < n, m D n and m > n. In each case, make judicious use of the property of item (b) of the last problem. nk nl If b D 2k  5l , with k; l 2 ZC , and n D maxfk; lg, then ab D a2 10n5 . If n D 2k, with k 2 N, write xn D .x2 /k and, then, apply item (g) of Proposition 1.2. The case of an odd n can be treated similarly. Start by showing that 12  13 C 14  15 > 15 . aC2 Compute the difference aC1 bC1  bC2 . Letting S denote the sum of the ten given numbers, show that 4S can be written as the sum of ten real numbers, each of which equals the sum of four of the ten given numbers. Argue as in Example 1.4, using the fact that 31 < 32 D 25 and 17 > 16D 24 . n For items (a) and (b), begin by observing that an < bn if and only if ab < 1; then, apply the result of Corollary  For item  (c), begin by noticing that  1.3. a n b n an C bn < .a C b/n if and only if aCb C aCb < 1; then, apply the result of Corollary 1.3. 2 Use the fact that a3 < ca2 and b3 < cb then, theorem.  1 and,  n apply  Pythagoras’ n n The given inequality is equivalent to 7 C 47 C 97  2. This last one holds trivially for n D 1 and n D 2; for n  3, apply item (b) of Corollary 1.3  n  3 to conclude that 97  97 > 2. Start by observing that, if a  4, then 0 < 1a C 1b C 1c  14 C 14 C 14 < 1, so that 1 C 1b C 1c cannot be an integer. a If a > 5 is an integer, show that 4.a  4/ > a; from this, conclude that it is not worth to have summands greater that 5. Then, by performing similar changes of summands, discard all of those which are equal to 4 or 5. Finally, show that is more advantageous to have more summands equal to 3 than summands equal to 2. If we let a be the common leftmost digit, show that there exist nonnegative integers k and l such that a10k < 2n < .aC1/10k and a10l < 5n < .aC1/10l ; then, multiply these inequalities. Suppose that all three inequalities are true; the second one can be written as .a  d/.c  b/ < 0, so that the first one gives a  d < 0 < c  b. Now, use the third inequality to get ad.c  b/ < bc.a  d/ and, then, arrive at a contradiction.

B Hints and Solutions

517

Section 1.3 p p p 2. For item (a), for instance, show that . n xy/n D xy and . n x n y/n D xy; then, use the definition of the n-th root. 3. By contraposition,1 show that, if b ¤ 0, then r is rational. 4. Reduce this problem to the previous one. 5. Argue by contraposition. p p p 6. If ab ¤ 0, compute .a C b 2/2 D .c 3/2 to conclude that 2 should be rational, which is an absurd. Therefore, ab D 0 and, thus, a D 0 or b D 0. Then, apply the result of Problem 3. p 7. By the sake of contradiction, write 2 D ab , with a and b relatively prime natural numbers, so that 2b2 D a2 . Then, successively show that a is even and b is even, thus reaching a contradiction. 8. Adapt, to the present case, the hint given to the previous problem.

Section 2.1 1. For item (a), it suffices to develop the right hand side to get .x  y/.x C y/ D x.x C y/  y.x C y/ D .x2 C xy/  .xy C y2 / D x2  y2 : In what concerns (b), we have .x ˙ y/2 D .x ˙ y/.x ˙ y/ D x.x ˙ y/ ˙ y.x ˙ y/ D .x2 ˙ xy/ ˙ .xy ˙ y2 / D x2 ˙ 2xy C y2 : Finally, item (c) is also obtained by expanding the right hand side, and we leave this to the reader.

The standard ways to prove a proposition of the form A ) B (i.e., If A, then B) are either directly, by contraposition or by contradiction. In the first case, we assume the validity of assertion A and deduce the validity of assertion B directly; in the second case, we assume that assertion B is false and deduce, directly, that assertion A is also false; finally, in the third case, we assume that assertion A is true and assertion B is false and, from this, directly deduce a contradiction (i.e., deduce that an assertion that is obviously false should be true, which is something impossible to happen). For a detailed discussion on the fundamentals of Logic and methods of proof, we refer the reader to [21].

1

518

B Hints and Solutions

2. It suffices to notice that n p m2 C n 2 C p 2 m C C D np mp mn mnp D

.m C n C p/2  2.mn C mp C np/ : mnp

3. The statement of the problem, together with item (a) of Proposition 2.1, gives us  2   b 1b 2 D , .b.1  a//2  .a.1  b//2 D 0 a 1a , .b.1  a/  a.1  b//.b.1  a/ C a.1  b// D 0 , .b  a/.a C b  2ab/ D 0: However, since a ¤ b, it follows that a C b D 2ab. Hence, we finally arrive at 1 aCb 2ab 1 C D D D 2: a b ab ab 4. Successively applying items (b) and (a) of Proposition 2.1, we get  2  2 1  xy 1  yx p p p p p D .x  2 xy C y/ C 2 xy . x  y/2 C 2 xy D

.x  y/.x C y/ xy x2  y2 D D 2 : 2 2 x .x C y/ x .x C y/ x

5. Applying item (a) of Proposition 2.1, we obtain .x3 C y3 C z3 /2  .x3  y3  z3 /2 D yCz D

Œ.x3 C y3 C z3 /  .x3  y3  z3 /Œ.x3 C y3 C z3 / C .x3  y3  z3 / yCz

D

2.y3 C z3 /  2x3 yCz

D

2.y C z/.y2  yz C z2 /  2x3 yCz

D 4x3 .y2  yz C z2 /:

B Hints and Solutions

519 1 a

6. Since ab D 1 , 

Db,

1 b

D a, we have

  a  1a b C 1b .a  b/ .b C a/ a2  b2 D D D 1; a2  b2 a2  b2 a2  b2

where we have used item (a) of Proposition 2.1 in the next to last equality above. 7. We have .y  x/.y C x/ D 192 , with y  x and y C x integers such that 0 < y  x < y C x. Therefore, the only possible choice is to have y  x D 1 and y C x D 361, so that y D 181 and x D 180. 8. A judicious application of item (b) of Proposition 2.1 gives a4 C b4 D .a2 C b2 /2  2a2 b2 D Œ.a C b/2  2ab2  2.ab/2 D .m2  2n/2  2n2 D m4  4m2 n C 2n2 : 9. Item (c) of Proposition 2.1 gives a6 C b6 D .a2 /3 C .b2 /3 D .a2 C b2 /.a4  a2 b2 C b4 / D .a4 C b4 /  a2 b2 D .a2 C b2 /2  3a2 b2 D 1  3.ab/2; so that

13.ab/2 a6 Cb6

D

a6 Cb6 a6 Cb6

D 1.

10. Start by observing that .ac C bd/2 C .ad  bc/2 D D .a2 c2 C 2acbd C b2 d2 / C .a2 d2  2adbc C b2 c2 / D a2 .c2 C d 2 / C b2 .d2 C c2 / D .a2 C b2 /.c2 C d2 /: 11. Adding 1 to both sides of the given equation, we get 112 D 121 D x C y C xy C 1 D .x C 1/.y C 1/: However, since x C 1; y C 1 > 1, the only possible choice is to have x C 1 D y C 1 D 11. p p 12. For item (a), it follows from item (a) of Proposition 2.1, with x and y in place of x and y, respectively, that p p x y 1 p p D p p p p x˙ y . x ˙ y/. x  y/ p p p p x y x y : D D p 2 p . x/  . y/2 xy

520

B Hints and Solutions

p p As for (b), we apply item (c) of Proposition 2.1, with 3 x and 3 y in place of p p p 3 x and y, respectively, and observe that . 3 x/2 D x2 and . 3 x/3 D x (and analogously for y). This way, we get p p p 3 2 x  3 xy C 3 y2 1 p p p D p p p p 3 3 x˙ 3 y . 3 x ˙ 3 y/. x2  3 xy C 3 y2 / p p p 3 2 x  3 xy C 3 y2 : D xy Finally, item (c) follows immediately from (b). 13. Item (a) of the previous problem gives 2

p p .n C 1/  n 1 2 2 n C 1  n D 2p p Dp p < p D p : 2 n n nC1C n nC1C n

The other inequality can be proved in a similar way. 14. Applying twice item (a) of Problem 12, we obtain p p p p 1 2C 2 3 2C 2 3 D p p D p p p 2C 2C 3 .2 C 2/2  . 3/2 3C4 2 p p p .2 C 2  3/.3  4 2/ p D 32  .4 2/2 p p p 1 D  .2 C 2  3/.3  4 2/: 23 p 15. First of all,p note that, for all real x, we have x3pC 3 D x3 C . 3 3/3 D .x C p p 3 3/.x2  x 3 3 C 3 9/. Therefore, making x D 2, we get p p p p p p 3 3 3 2 2 C 3 D . 2 C 3/.2  2  3 C 9/ and, hence, p p p 2 3 3C 3 9 p p p D 2C 3 3 3C2 2 p p p p 2 2 3 3C 3 9 32 2 p  p D 3C2 2 32 2 p p p p 3 3 D .3  2 2/.2  2  3 C 9/: 1

2

16. It suffices to write y C z D x, x C z D y and x C y D z to realize that each of y C z, x C z and x C y is also nonzero. Now, making use of these equalities in (a), we obtain

B Hints and Solutions

521

x2 y2 z2 x2 y2 z2 C C D C C D 3: .y C z/2 .x C z/2 .x C y/2 .x/2 .y/2 .z/2 Analogously,

x3 .yCz/3

C

y3 .xCz/3

C

z3 .xCy/3

D 3.

17. Applying item (a) of Proposition 2.1 several times, we get a64  b64 D .a32 C b32 /.a32  b32 / D .a32 C b32 /.a16 C b16 /.a16  b16 / D .a32 C b32 /.a16 C b16 /.a8 C b8 /.a8  b8 / D .a32 C b32 /.a16 C b16 /.a8 C b8 /.a4 C b4 /.a4  b4 / D .a32 C b32 /.a16 C b16 / : : : .a2 C b2 /.a2  b2 / D .a32 C b32 /.a16 C b16 / : : : .a2 C b2 /.a C b/.a  b/; so that .a C

b/.a2

C

a64  b64 D .a32 C b32 /.a C b/: C b4 /.a8 C b8 /.a16 C b16 /

b2 /.a4

18. For item (a), it suffices to see that .a  b/.an1 C an2 b C an3 b2 C    C abn2 C bn1 / D D a.an1 C an2 b C an3 b2 C    C abn2 C bn1 /  b.an1 C an2 b C an3 b2 C    C abn2 C bn1 / D .an C an1 b C an2 b2 C    C a2 bn2 C abn1 /  .an1 b C an2 b2 C an3 b3 C    C abn1 C bn / D an  bn : With respect to (b), observe that the changes of sign make sense precisely because n is odd: .a C b/.an1  an2 b C an3 b2      abn2 C bn1 / D D a.an1  an2 b C an3 b2      abn2 C bn1 / C b.an1  an2 b C an3 b2      abn2 C bn1 / D .an  an1 b C an2 b2      a2 bn2 C abn1 / C .an1 b  an2 b2 C an3 b3      abn1 C bn / D an C bn :

522

B Hints and Solutions

19. More generally, let us factorise x4n C 4y4n , where n 2 N, inspiring ourselves in the formula for .a C b/2 : x4n C 4y4n D .x2n /2 C .2y2n /2 D Œ.x2n /2 C .2y2n /2 C 2x2n  2y2n   2x2n  2y2n D .x2n C 2y2n /2  .2xn yn /2 D .x2n C 2y2n C 2xn yn /.x2n C 2y2n  2xn yn /: 20. It follows from Example 2.7 that .a C b C c/3 D a3 C b3 C c3 C 3.a C b/.a C c/.b C c/: Now, since .a C b/ C .a C c/ C .b C c/ D 2.a C b C c/, which is an even integer, we conclude that at least one of a C b, a C c or b C c is also even, so that 3.a C b/.a C c/.b C c/ is a multiple of 6. Therefore, 6 j .a C b C c/ , 6 j .a C b C c/3 , 6 j Œa3 C b3 C c3 C 3.a C b/.a C c/.b C c/ , 6 j .a3 C b3 C c3 /: 21. We present two different solutions. For the first one, just note that a C b C c D 0 ) .a C b/3 D .c/3 ) a3 C b3 C 3ab.a C b/ D c3 ) a3 C b3 C 3ab.c/ D c3 ) a3 C b3 C c3  3abc D 0: Another possibility is to use the result of Example 2.7: a C b C c D 0 ) .a C b C c/3 D 0 ) a3 C b3 C c3 C 3.a C b/.a C c/.b C c/ D 0: Now, from a C b C c D 0 we get a C b D c, a C c D b, b C c D a and, then, 3.a C b/.a C c/.b C c/ D 3.c/.b/.a/ D 3abc: p p 22. Since a C a2  b  a  a2  b, both sides of the equality we wish to prove are nonnegative real numbers. Hence, it suffices to prove that their squares are equal, i.e., that

B Hints and Solutions

523

p a˙ b D

aC

! p a2  b C 2

a

! p a2  b 2

v ! ! p p u 2b u a C a2  b a a  ˙ 2t 2 2 s D a˙2

p a2  . a2  b/2 : 4

In view of the above, this is pretty clear. 23. By the sake of contradiction, suppose that such x, y and z did exist. Then, 1 writing xCyCz  1x D 1y C 1z and performing the additions on both sides, we would easily conclude that x.x C y C z/ D yz, or, which is the same, that x2 D .xy C xz C yz/. Similar reasoning would give us x2 D y2 D z2 D .xy C xz C yz/. Now, from x2 D y2 we would get x D y or x D y; however, since x C y ¤ 0, we should have x D y. Analogously, we should also have 1 x D z, so that the given equality would reduce to 3x D 3x . This is obviously impossible. 1 1 1 24. Making x D bc , y D ca and z D ab , we have xy C xz C yz D D

1 1 1 C C .b  c/.c  a/ .b  c/.a  b/ .c  a/.a  b/ 1 Œ.a  b/ C .c  a/ C .b  c/ D 0: .b  c/.c  a/.a  b/

Now, if x; y; z are real numbers such that xy C xz C yz D 0, then we have x2 C y2 C z2 D .x C y C z/2 . Therefore, in our case we have 1 1 1 C C D 2 2 .b  c/ .c  a/ .a  b/2 Finally, just note that 25. Initially, note that

1 bc

C

1 ca

C

1 ab



1 1 1 C C bc ca ab

is a rational number.

p p p p p 3 3 3 . 3 a C b/3 D a C b C 3 ab. 3 a C b/ and, hence, p p p . 3 a C 3 b/3  .a C b/ 3 ab D p 2 Q: p 3. 3 a C 3 b/

2

:

524

B Hints and Solutions

From this, we conclude that p p ab ab 3 3 a bD p D p p p p p 2 Q: 3 3 3 3 2 2 . a/ C ab C . b/ . a C 3 b/2  3 ab Finally, p 3

aD

p p p 1 p 3 3 Œ. 3 a C b/ C . 3 a  b/ 2 Q 2

p and, analogously, 3 b 2 Q. 26. Raise both members of the equality a C c C d D .b C e C f / to the third power and apply the formula of Example 2.7 to get a3 Cc3 Cd 3 C3.aCc/.aCd/.cCd/ D .b3 Ce3 Cf 3 /3.bCe/.bCf /.eCf /: Now, since a3 C b3 C c3 C d3 C e3 C f 3 D 0, it follows from the above equality that .a C c/.a C d/.c C d/ D .b C e/.b C f /.e C f /: Analogously, starting from a C e C f D .b C c C d/ and arguing as above, we find that .a C e/.a C f /.e C f / D .b C c/.b C d/.c C d/: Finally, multiplying the two relations thus obtained and cancelling out the common factor .c C d/.e C f /, we arrive at the desired relation. 27. Start by observing that b3 < b3 C 6ab C 1  b3 C 6b2 C 1 < b3 C 6b2 C 12b C 8 D .b C 2/3 : Therefore, if b3 C 6ab C 1 is a perfect cube, one has b3 C 6ab C 1 D .b C 1/3 D b3 C 3b2 C 3b C 1; so that 2a D b C 1. Substituting b D 2a  1 into a3 C 6ab C 1, we conclude that a3 C 6a.2a  1/ C 1 D a3 C 12a2  6a C 1 is a perfect cube. However, it is immediate to verify that a3 < a3 C 12a2  6a C 1 < .a C 4/3 ; so that the only possibilities are a3 C 12a2  6a C 1 D .a C 1/3 ; .a C 2/3 or .a C 3/3 :

B Hints and Solutions

525

These possibilities give, respectively, the equations 9a2 a  9a D 0, 6a2  18a D 7 and 3a2  33a D 26. The first one gives a D 1; the second has no integer solutions, for the left hand side is even, while the right hand one is odd; the third also has no integer solutions, for the left hand side is a multiple of 3, while the right hand one is not.

Section 2.2 1. For the first inequality, interpret jx  aj as the distance from x to a in the real line (alternatively, apply the definition of modulus, separately considering the cases x  a  0 and x  a < 0). For the other three inequalities, adapt the hint given to the analysis of the first one. 2. Separately analyse the cases (i) x; y  0, (ii) x  0 > y, (iii) y  0 > x and (iv) x; y < 0, showing that equality occurs in all of them. 3. For item (a), consider the cases x  0 and x < 0. For item (b), argue as in Example 2.9. 4. Separately analyse cases x < 0, 0 < x < 1 and x > 1. The solution set is .1; 0/ [ .1; C1/. 5. Since jyj  y and j  yj D jyj for all real y, we have jx  aj  x  a and jx  bj D jb  xj  b  x. Therefore, in order for the equation to have a real root x, we must necessarily have c D jx  aj C jx  bj  .x  a/ C .b  x/ D b  a: Thus, a necessary condition for the existence of solutions is that c  b  a. In other words, if c < b  a, then the given equation will have no solutions. Let us see what happens if c  b  a (i.e., let us see whether this condition also suffices to the existence of solutions). Since every real number x satisfies one of x  a, a < x  b or x > b, we shall analyse these cases separately: • x  a: then, x  a  0 and x  b  0 (why?), so that the given equation reduces to .x  a/  .x  b/ D c, whose root is x D 12 .a C b  c/. Verify that such a root indeed satisfies the condition x  a. • a < x  b: the given equation reduces to .x  a/  .b  x/ D c, or b  a D c. If such an equality is true, then every real number x satisfying a < x  b will be a solution of the equation; if it is false, then the equation will have no solutions x satisfying the inequalities a < x  b. • x > b: arguing as in the previous cases, we easily arrive at the solution x D 12 .a C b C c/, which does satisfy condition x > b.

526

B Hints and Solutions

6. It suffices to see that ˇ ˇ ˇ ˇ ˇ ˇ p ˇ ˇ 1 ˇr C 2 p ˇ ˇ 1 1 ˇˇ ˇ ˇ ˇ ˇ ˇ ˇ r C 1  2ˇ D ˇ r C 1 C 1  2ˇ D ˇ r C 1  p2 C 1 ˇ p p 1 j 2  rj p < jr  2j; D 2 .r C 1/. 2 C 1/ p for r  0 and 2 > 1. y 7. For item (a), compute 1Cy  x1 C x. For item (b), start by using the result of (a), jaCbj jajCjbj together with the triangle inequality jaCbj  jajCjbj, to get 1CjaCbj  1CjajCjbj . 8. For the first part, adapt the proof of Example 2.13. It may help you to notice that

..n C 1/ C .n C 2/ C    C 2n/  .1 C 2 C    C n/ D n2 C .1 C 2 C    C n/  .1 C 2 C    C n/ D n2 :

For the second part, show that every x 2 .n; n C 1/ is a root of the equation.

Section 2.3 1. If x D ˛ is a root of the given equation, then ˛ 2 C bj˛j C c D 0. But, then, we also have .˛/2 C bj  ˛j C c D ˛ 2 C bj˛j C c D 0, so that x D ˛ is also a root of the equation. Therefore, since ˛ C .˛/ D 0, the sum of the roots has to be equal to 0. p 2. For item (a), squaring both sides of x C 2 D 10  x we get x C 2 D .10  x/2 , or x2  21x C 98 D 0. Since 7 C 14 D 21 and 7  14 D 98, the roots of this last equation are x D 7 and x D 14. However, only p x D 7 satisfies the original equation, for, substituting x D 14 in it, we find 16 D 4, which is an absurd. In what concerns (b), we initially observe that, for the square roots to have a meaning in R, we must have  32  x  13 ; on the other hand, p p p x C 10 D 2x C 3 C 1  3x , p p , x C 10 D . 2x C 3 C 1  3x/2 p , x C 10 D 4  x C 2 .2x C 3/.1  3x/ p , x C 3 D .2x C 3/.1  3x/ , .x C 3/2 D .2x C 3/.1  3x/ , 7x2 C 13x C 6 D 0; so that x D 1 or x D  67 . Since both of these values belong to the interval  3 1  2 ; 3 , we conclude that they are the solutions of the given equation. Finally,

B Hints and Solutions

527

2 for item (c), we note that the substitution p of variables y D x C 18x transform the given equação into y C 30 D 2 y C 45. Squaring both sides, we easily arrive at y2 C 56y C 720 D 0, an equation whose roots are p y D 36 and y D 20. From these, only y D 20 serves us, for y C 30 D 2 y C 45 gives y C 30  0 and ypC 45  0, i.e., y  30. Therefore, x2 C 18x C 20 D 0 and, then, x D 9 ˙ 61. p 3. Start by observing that, in order for 2x  1 to have a meaning in the set of reals, we must have x  12 . By a similar reason, it must be the case that x  p 2x  1. However, since

x

p 2x  1 , x2  2x  1 , x2  2x C 1  0;

which is always true, the conditions for the existence of the square roots in the given equation reduce to x  12 . Now, 2

q

A D

p x C 2x  1 C

q

2 p x  2x  1

q

p p D 2x C 2 .x C 2x  1/.x  2x  1/ p D 2x C 2 x2  .2x  1/ D 2x C 2jx  1j: We shall consider here only item (b), leaving the other two items as exercises to the reader. If A D 1, we have to solve the equation 2x C 2jx  1j D 1, under the condition x  12 . If x  1, that equation reduces to 2x C 2.x  1/ D 1, so that x D 34 (which does not satisfy the condition x  1). If 12  x < 1, the equation   reduces to 2x C 2.1  x/ D 1, an equality which is false for every x 2 12 ; 1 . Therefore, there are no solutions in item (b). 4. Let ax2 C bx C c D 0 be the equation of the first quiz, a0 x2 C bx C c D 0 be that of the second one and ax2 C bx C c0 D 0 be that of the third one. Since the roots of the second quiz are 2 and 3, we have  ab0 D 5 and ac0 D 6, so that  bc D 56 ; on the other hand, since the roots of the third quiz are 2 and 7, we have  ba D 5. Therefore, the second degree equation of the first quiz has the form ax2 C 5ax  6a D 0, and, thus, has the same roots as those of x2 C 5x  6 D 0, i.e., 6 and 1. 5. It follows from Proposition 2.16 that a C b D a and ab D b. The second equality gives a D 1, and substituting this value into the first equality we get b D 2. 6. Again by Proposition 2.16 (applied to both equations), we have a D ˛ 2 C ˇ 2 D .˛ C ˇ/2  2˛ˇ D 13  2  9 D 5 and b D ˛ 2 ˇ 2 D .˛ˇ/2 D 92 D 81. Therefore, a C b D 86.

528

B Hints and Solutions

7. The simplest possibility is x2  Sx C P D 0, where S D u3 C v 3 D .u C v/.u2  uv C v 2 / D Œ.u C v/2  3uv D Œ.1/2  3.1/ D 4 and P D u3 v 3 D .uv/3 D .1/3 D 1. 8. A possibility is the equation x2  S0 x C P0 D 0, where S0 D .˛S C P/ C .ˇS C P/ D .˛ C ˇ/S C 2P D S2 C 2P and P0 D .˛S C P/.ˇS C P/ D ˛ˇS2 C .˛ C ˇ/SP C P2 D 2S2 P C P2 . Here, we used the relations ˛ C ˇ D S and ˛ˇ D P. p p 9. If ˛ D 7 C 4 3 and ˇ D 7  4 3, then ˛ C ˇ D 14 and ˛ˇ D 1, so that ˛ and ˇ are the roots of the second degree equation x2  14x C 1 D 0. Hence, ˛ 2 D 14˛  1 and ˇ 2 D 14ˇ  1 and, starting from such equalities, we get ˛ kC2 C ˇ kC2 D 14.˛ kC1 C ˇ kC1 /  .˛ k C ˇ k /: Now, make k successively equal to 0, 1, 2 and 3 to compute, also successively, ˛ 2 C ˇ 2 , ˛ 3 C ˇ 3 , ˛ 4 C ˇ 4 and ˛ 5 C ˇ 5 . 10. Substituting x by ˛, we get the equality ˛ 2 D ˛ C 1 and, from it, ˛ 4 D .˛ 2 /2 D .˛ C 1/2 D ˛ 2 C 2˛ C 1 D 3˛ C 2 and ˛ 5 D ˛  ˛ 4 D ˛.3˛ C 2/ D 3˛ 2 C 2˛ D 3.˛ C 1/ C 2˛ D 5˛ C 3. Hence, ˛ 5  5˛ D 3. 11. Since the roots of the equation must be integers whose product equals 5, we conclude that they must be (i) 1 and 5; or (ii) 1 and 5. In the first case m D .1 C 5/ D 6, whereas, in the second, m D ..1/ C .5// D 6. 12. The given equation is equivalent to x2  .b C c C 2a2/x C Œbc C a2 .b C c/ D 0. In order for the roots of this last equation to be real and distinct, it suffices to show that  > 0, where  is its discriminant. In fact, since a ¤ 0, we have  D .b C c C 2a2 /2  4Œbc C a2 .b C c/ D .b C c/2 C 4a4  4bc D .b  c/2 C 4a4 > 0: 13. Making a D x  1x , we get x2  ax  1 D 0 .1/ and, hence, 1x D x  a. p p Therefore, the original equation becomes x D a C 1  .x  a/ or, which p p is the same, p x  a D 1 C a  x .2/. p Squaring both sides of .2/, we get x2 C a  2 ax D 1 C a px, or x2  .2 a  1/x  1 D 0 .3/. Subtracting .3/ from .1/, it follows that .2 a  1  a/x D 0. Now, since x ¤ 0, it must be that p p 2 a  1  a D 0, from which a D 1. Then, x  1x D 1, so that x D 1˙2 5 . p p p However, .2/ gives x  1 D x  a D 1 C a  x  0, so that x D 1C2 5 . 14. If ˛ is a common root of both equations, then a˛ 3 ˛ 2 ˛ .aC1/ D 0 . / and a˛ 2 ˛.aC1/ D 0. Multiply the second equality by ˛ to get a˛ 3 ˛ 2 .aC1/ ˛ D 0, and subtract this result from . / to arrive at .a C 1/˛  ˛  .a C 1/ D 0,

B Hints and Solutions

529

so that ˛ D 1 C 1a . Therefore, if the two given equations are to have a common root, this must be equal to 1 C 1a . It now suffices to verify that 1 C 1a actually is a root of both equations, and we leave this simple task to the reader. 15. For item (a), it suffices to see that x3  3x2 C 5x D .x3  3x2 C 3x  1/ C .2x  2/ C 3 D .x  1/3 C 2.x  1/ C 3: Now, it follows from (a) that the equalities in the statement of the problem can be rewritten as .x  1/3 C 2.x  1/ C 3 D 1 and .y  1/3 C 2.y  1/ C 3 D 5I adding these, we arrive at .x  1/3 C .y  1/3 C 2.x C y  2/ D 0: In the above relation, substitute the factorisation .x  1/3 C .y  1/3 D .x C y  2/Œ.x  1/2  .x  1/.y  1/ C .y  1/2  to get .x C y  2/Œ.x  1/2  .x  1/.y  1/ C .y  1/2 C 2 D 0: Now, there are two possibilities: x C y  2 D 0 or .x  1/2  .x  1/.y  1/ C .y  1/2 C 2 D 0. In order to show that the second one doesn’t happen, make x  1 D a and y  1 D b and observe that   3b2 b 2 3b2 b2 a  ab C b C 2 D a  ab C C C2D a C 2 > 0: C 4 4 2 4 2

2

2

17. Compare the coefficients at both sides of the equality x3 C ax2 C bx C c D .x  ˛/.x2 C b0 x C c0 / to get the equalities b0  ˛ D a, c0  ˛b0 D b and ˛c0 D c. Now, use the first and third relations to get b0 D a C ˛ and c0 D  ˛c , showing, then, that these values for b0 and c0 also satisfy the relation c0  ˛b0 D b (at this step you shall need to use the fact that ˛ 3 Cpa˛ 2 C b˛ Cpc D 0.p p 3 3 18. For item (a), let a D 2 C 5 and b D 2  5, so that ˛ D a C b. Then, use the fact that ˛ 3 D a3 C b3 C 3ab.a C b/ D a3 C b3 C 3ab˛;

530

19. 20.

21. 23.

B Hints and Solutions

together with the relation ab D 1. For (b), use the result of the previous problem to show that x3 C 3x  4 D .x  1/.x2 C x C 4/, so that x D 1 is the only real root of x3 C 3x  4 D 0. Use the result of Problem 21 to compare the coefficients of a3 x3 C a2 x2 C a1 x C a0 D 0 and a3 .x  x1 /.x  x1 /.x  x3 /. In order to compute the value of the first sum of powers, use relations (2.21), together with the identity ˛ 2 C ˇ 2 C  2 D .˛ C ˇ C  /2  2.˛ˇ C ˛ C ˇ /; for the other two sums of powers, start by observing that, since ˛ is a root of the equation, we have ˛ 3 D 3˛  1, and analogously for ˇ and  . Then add the left and right hand sides of these three identities. Expand the products in .y C d/3 C a.y C d/2 C b.y C d/ C c and impose that the coefficient of y2 equals 0. It suffices to see that    1 1 1 3 2 x 1C 2 x C 3 D xC x x x !     1 2 1 xC 3 : D xC x x

24. Just note that !2     1 1 2 1 2 2 xC  2  2: x C 4 D x C 2 2D x x x 4

25. First, note that the equality x2  x  1 D 0 is equivalent to x  1x D 1. Then, use the identity x3 

 1 D x x3  D x

  1 x2 C 1 C 2 x !   2 1 1 C3 : x x x

1 x

26. The equality x2 4xC1 D 0 is equivalent to xC 1x D 4. Now, use the expression for x3 C x13 , deduced in the hint to Problem 23, and observe that x6 C x16 D 2  3 x C x13  2. 28. Initially, consider the cases n D 2, 4 and 6; then, adapt the reasoning of these particular cases to the general one.) 29. For item (a), see the hint to Problem 23. For item (b), argue as was done in the text for biquadratic equations. 30. For item (a), let’s consider two cases: (i) if a; b > 0 then c C d D a < 0 and cd D b > 0, so that c; d < 0; but then ef D d < 0, so that e > 0 > f . (ii) If a; b < 0, then, in the notations of (i), c > 0 > d. Therefore, starting

B Hints and Solutions

531

with the second equation, if necessary, we can assume from the beginning that a > 0 > b. Then, letting c  d be the roots of x2 C ax C b D 0, we get c C d D a < 0 and cd D b < 0, so that c > 0 > d. For (b), we have  D m2  4n and 0 D p2  4q. Compute 0

 D D

m C 2

p !2 

m  4 2

p ! 

p p  1 2 m  2m  C  C 8m C 8  4

and notice that, since m > 0, p   p  0 <  , m2  2m   4 C 8   3 p p p ,   9.n C 2/: For (c), note that the process cannot continue indefinitely if the inequality 0 <  always holds. Then, show that at some point we reach a situation in which n D 1 or m D 1, n D 2. If n D 1, conclude that the roots of x2 Cmx1 D 0 should be 1 and 1, so that m should be equal to 0, which is not the case. Then, we are left to m D 1 and n D 2. In this case, argue backwards to show that a D 1, b D 2.

Section 2.4 1. Execute the elimination algorithm in each of the items above. 2. Apply the elimination algorithm, in the way done in Example 2.26. 3. Apply the variable substitution a D 1x , b D 1y , c D 1z to transform the given system into a linear system of three equations in three unknowns. 4. Show that xj D a1j b1 C a2j b2 C a3j b3 , for 1  j  3. 5. For item (a), it suffices to see that x1 D x2 D    D xn D 0 always is a solution. In what concerns (b), suppose that x1 D ˛1 , x2 D ˛2 , . . . , xn D ˛n and x1 D ˇ1 , x2 D ˇ2 , . . . , xn D ˇn are two distinct solutions of (2.25). If t 2 R is arbitrary, show that xi D t˛i C .1  t/ˇi , for 1  i  n, is also a solution. Finally, for item (c), assume that the system has only one solution when b1 D b2 D    D bm D 0, so that this solution is x1 D x2 D    D xn D 0. Let b1 , b2 , . . . , bm be arbitrary real numbers, and x1 D ˛1 , x2 D ˛2 , . . . , xn D ˛n and x1 D ˇ1 , x2 D ˇ2 , . . . , xn D ˇn be two solutions of (2.25). Then, it is immediate to check that x1 D ˛1  ˇ1 , x2 D ˛2  ˇ2 , . . . , xn D ˛n  ˇn is a solution of (2.25) when b1 D b2 D    D bm D 0, so that our assumption gives ˛i  ˇi D 0, for 1  i  n.

532

B Hints and Solutions

Sections 2.5 1. Equations x C yz D 2 and y C xz D 2 give .x  y/.1  z/ D 0, so that either x D y or z D 1. Do the same for the other two pairs of equations, and compare the different possibilities that arise. 2. Letting z D 1=.x C y/, we obtain the second degree system 

zCx D aC1 : zx D a  1

Hence, there are two possibilities: .z; x/ D .a; 1/ or .z; x/ D .1; a/. Those give rise to the systems 

x C y D a1 and xD1



xCyD 1 ; x D a1

both of which can be immediately solved. 3. Set u D xCy and v D xy , and show that the given system is equivalent to the xy xy second degree system 

uCv D5 ; uv D6

so that u D 2 and v D 3, or vice-versa. 4. Add the three given equations and write the result as .ax21 C .b  1/x1 C c/ C .ax22 C .b  1/x2 C c/ C .ax23 C .b  1/x3 C c/ D 0: Then, apply the result of Lemma 2.14 to the second degree trinomial ax2 C .b  1/x C c and analyse separately itens (a) and (b). 5. Suppose, without loss of generality, that x  y. Then, use the equations of the system to conclude that x D y D z. Finally, note that x D 1 is a root of the third degree polynomial equation x3 2xC1 D 0, and apply the result of Problem 21, page 43. 6. Write the left hand side as a sum of squares and apply Lemma 2.31, with n D 3. 7. Substituting y D 14 .a  z  3x/ into the first equation, we get x2 C

1 .a  z  3x/2 D 4z 16

or, which is the same, 25x2  6x.a  z/ C .a  z/2  64z D 0:

B Hints and Solutions

533

For this last equation to have a single solution, the discriminant of the second degree trinomial (in x) of the left hand side must be equal to 0, i.e., we should have 36.a  z/2 D 100Œ.a  z/2  64z: or, which is the same, .a  z/2 D 100z. If this is so, then (from the second 3 degree equation in x above) x D 25 .a  z/ and (from the second equation of the 4 system) y D 25 .a  z/. Therefore, the system has a single solution if and only if the equation (in z) .a  z/2 D 100z has a single solution. Since it is equivalent to z2  2z.a C 50/ C a2 D 0, its discriminant must also be equal to 0, i.e., we should have .a C 50/2 D a2 . Thus, a D 25. 8. Start by writing xC

p p 3 3  2 x C 2 D .x  1/ C 1 C 2 xC2 x1 x1 p xC2 D .x  1/ C 2 xC2 x1 !2 r p xC2 D x1 x1

Then, apply Lemma 2.31 to conclude that it suffices to solve the system of equations p x1

r

p xC2 D y1 x1

s

p yC2 D z1 y1

r

zC2 D 0; z1

p

so that x D y D z D 3C2 13 . p p 9. Letting a D 3 x C 5 and b D 3 4  x, we get a C b D 3 and a3 C b3 D 9. Hence 9 D a3 C b3 D a3 C .3  a/3 D 27  27a C 9a2 or, which is the same, a2  3a C 2 D 0. Therefore, a D 1 or 2, from where x D 4 or x D 3. p 10. Argue as in the previous problem, letting y D 5  x to transform the given equation into a system of equation in x and y.

534

B Hints and Solutions

11. First of all, observe that 2  x2 1 2 Dx C 1 x C .x C 1/2 xC1 2

D x2 C 1 C

1 2  2 .x C 1/ xC1

D .x2 C 2x C 1/ C D .x C 1/2 C

1 2  2x  .x C 1/2 xC1

1 2 C 2:  2.x C 1/  2 .x C 1/ xC1

Now, make the variable substitution y D x C 1 C .x C 1/2 C

1 xC1

to get

1 D y2  2; .x C 1/2

so that the given equation simplifies to the second degree equation y2  2y  3 D 0, whose roots are 3 and 1. Then, we have xC1C

1 D 3 or  1; xC1

and each of these possibilities gives rise to a second degree equation in x. 12. Firstly, observe that, if x D 0, then y D z D 0 (and analogously if y D 0 or z D 0). Therefore, we can assume that xyz ¤ 0. Setting u D 1x , v D 1y and w D 1z , we get vD

1 C 4x2 1 1 u2 D C 1: D 2 C1D 2 y 4x 4x 4

Transforming the other two equations in analogous ways, we get the system below, which is equivalent to the original one: u2 C 4 D 4v; v 2 C 4 D 4w; w2 C 4 D 4u: Adding these three equations, we arrive at the equality .u  2/2 C .v  2/2 C .w  2/2 D 0; and Lemma 2.31 gives u D v D w D 2 and, hence, x D y D z D 12 . Thus, the solutions of the system are x D y D z D 0 or x D y D z D 12 .

B Hints and Solutions

535

13. Add the equations of the system to conclude that it suffices to solve the system of equations 8 a C b C c D 3d ˆ ˆ < b C c C d D 3a : ˆ c C d C a D 3b ˆ : d C a C b D 3c Then, note that a D b D c D d D 14 .a C b C c C d/. 14. Write the given equation as .E1  F1 / C .E2  F2 / C    C .En  Fn / D 0, observing that Ei  Fi  0 for 1  i  n. 15. For u 2 R, note that 4u2  u4 D 4  .4  4u2 C u4 / D 4  .2  u2 /2 : Hence, p p p 4x2  x4  3 C 4y2  y4 C 4z2  z4 C 5 p p p D 1  .2  x2 /2 C 4  .2  y2 /2 C 9  .2  x2 /2 p p p  1 C 4 C 9 D 1 C 2 C 3;

6 D

and it follows that 2  x2 D 2  y2 D 2  z2 D 0, p from thepprevious problem p i.e., x D ˙ 2, y D ˙ 2, z D ˙  2. 4 x 4 16. If x  4, write 5x 4  x D xC 4  x to conclude that z  4; then, argue similarly with the second equation to conclude that y  4. Then, either x; y; z  4 or x; y; z  4. In either case, add the three equations of the system to get 4 4 x y z 4 C C D C C ; x y z 4 4 4 and use the result of Problem p 14. p 17. For item (a), write x C 2x  2 2 D 1x  .x  2/2 . For item (b), start by observing that xC 2x D 2y gives that x and y are both positive or both negative; analogously, the same is true for y and z. Therefore, either x, y and z are all positive or all negative. Now, note that .x; y; z/ is a solution of the system if and only if .x; y; z/ is also a solution, so that we can restrict to the case x; y; z > 0. Now, the result of item (a) gives 2y D x C

p 2  2 2; x

536

B Hints and Solutions

p p so that y  2; analogously, x; z  2. Adding the three equations of the system, we get xCyCzD Finally, note that u 

2 u

for u 

p

2 2 2 C C : x y z

2, and use the result of Problem 14.

Section 3.1 2. For item (a), let an D n, for odd n  1, and an D .1/n1 n, for even n  1. n For (b), let an D nC1 , for n  1. Finally, for item (c), let an D n, for odd n  1, 1 and an D n for even n  1. 1 D 3aak C1 D 3 C a1k D 3 C bk . 3. It suffices to note that bkC1 D akC1 k 4. For item (a), we can write a1 D a2 D a3 D 1 and ak D ak1 C ak2 C ak3 , for k  4. For item (b), we can write a1 D 1 and akC1 D 2ak , for k  1. 5. Observe that the entries in the n-th line form and AP of initial term n, common difference 2 and 2n  1 terms. 6. Write 11 : : :… 1 as a sum of powers of 10, then use the formula for the sum of the „ ƒ‚ n

terms of a GP. 7. Use the result of the previous problem. 8. It suffices to show that bkC1  bk does not depend on k; the common value we shall obtain will be the common difference of the AP .bk /k1 . By definition, we have bkC1  bk D .a2kC2  a2kC1 /  .a2kC1  a2k / D .akC2  akC1 /.akC2 C akC1 /  .akC1  ak /.akC1 C ak / D r.akC2 C akC1 /  r.akC1 C ak / D r.akC2  ak / D r  2r D 2r2 : 9. Apply the formula for the general term of an AP to ap C aq and au C av . 10. Let a1 D rm, with m 2 ZC . By the formula for the general term of AP’s, we have ak C al D 2a1 C .k C l  1/r D a1 C .m C k C l  1/r D amCkCl : 11. The formula for the general term of AP’s gives us the relations ˛ D ap D a1 C .p  1/r, ˇ D aq D a1 C .q  1/r and apCq D a1 C .p C q  1/r, where r is the common difference of the AP. By viewing the first two relations above as a linear system of equations in a1 and r, express them in terms of ˛, ˇ, p and q; then, substitute these expressions for a1 and r into the formula for apCq .

B Hints and Solutions

537

12. Letting 2n  1 denote the smallest of such integers and k their quantity, the formula for the general term of an AP assures that the biggest of the numbers equals .2n  1/ C 2.k  1/ D 2n C 2k  3. Therefore, their sum is equal to 1 3 3 2 Œ.2n  1/ C .2n C 2k  3/k D 7 , so that .2n C k  2/k D 7 . Now, since 2 2n C k  2  k > 1, the only possibility is 2n C k  2 D 7 and k D 7, so that n D 22. 13. Let r be the common difference of the AP and let a2 D m, so that r 2 N and m > 1. Then, amkC2 D a2 C ..mk C 2/  2/r D m C mkr D m.1 C kr/, which is clearly a composite number. 14. Item (b) follows immediately from (a). For item (a), separately consider the cases n even and n odd. p p p 15. By contradiction, suppose that am D 2, an D 3 and ap D 5, where .ak /k1 is an AP and m, n and p are pairwise distinct natural numbers. Then, use the formula for the general term of AP’s to compute nm pm . 16. Apply, to the left hand side, the formula for the general term of GP’s. 17. Adapt, to the present case, the solution given to the Example 3.14. 18. Adapt, to the present case, the solution given to the Example 3.14. 19. Suppose that there exists such an AP .ak /k1 , of common difference r, i.e., such that ar1 … Q but a2n D am ap , for some distinct indices m, n and p. Use the formula for the general term of an AP to reach a contradiction. 20. Show that the sequence .bk /k1 , such that bk D ak  1, is a GP. 22. Suppose that .ak /k1 is a GP of common ratio q, such that am D 2, an D 3 and ap D 5. Then, a1 qm1 D 2, a1 qn1 D 3 and a1 qp1 D 5, so that qmn D 23 and qmp D 25 . Therefore,  mp  mn 2 2 .mn/.mp/ Dq D 3 5 or, which is the same, 2np  5mn D 3mp . Now, get a contradiction.

Section 3.2 1. Apply the result of Theorem 3.16. 2. Apply the result of Theorem 3.16. 3. Start by observing that akC2  akC1 D .2akC1  1/  .2ak  1/ D 2akC1  2ak and, hence, that akC2  3akC1 C 2ak D 0, for every integer k  1. Now, apply the result of Theorem 3.16. 4. Use the fact that x2 C rx C s D .x  ˛/2 . 7. For item (a), apply Theorem 3.16. For item (b), use the formula of (a). Finally, for (c), use the formulas of item (a) and (3.10).

538

B Hints and Solutions

8. For item (a), the given recurrence relation furnishes 4b2kC1 D 4.1 C 24akC1/ D 4 C 6.1 C 4ak C   1 D 4 C 6 1 C .b2k  1/ C bk 6

p 1 C 24an /

D b2k C 6bk C 9 D .bk C 3/2 : For item (b), it follows from (a) that 2bnC2  bnC1 pD 3 D 2bnC1  bn and, thus, 2bnC2  3bnC1 C bn D 0. Since b1 D 5 and b2 D 1 C 24a2 D 4, Theorem 3.16 guarantees that bn D 3 C 24n . At last, for item (c), it follows from items (a) and (b) that !   4 2 1 2 1 .b  1/ D 3C n 1 an D 24 n 24 2    4 4 1 2C n 4C n D 24 2 2    1 1 1 D 1 C n1 1C n : 3 2 2

Sections 3.3 1. If .ak /k1 is a second order AP, then .akC1  ak /k1 is a non constant AP, so that there exists r ¤ 0 for which .akC2  akC1 /  .akC1  ak / D r, for every k  1. In particular, for every k  1, we have akC2  2akC1 C ak ¤ 0 and .akC3  akC2 /  .akC2  akC1 / D .akC2  akC1 /  .akC1  ak /: The converse can be prove in an analogous way. Write akC1  ak D 3k  1 and use telescoping sums. Write akC1  ak D 8k and use telescoping sums. 1 1 Observe that .k1/k D k1  1k and use telescoping sums. The previous problem is a particular case of the present one. 1 Start by noting that k12 < .k1/k for every integer k > 1; then, apply the result of Problem 4. 7. Adapt to the present case the hint to Problem 4, writing 2. 3. 4. 5. 6.

1 1 D .4k  1/.4k C 3/ 4



 1 1  : 4k  1 4k C 3

B Hints and Solutions

539

8. For item (a), it suffices to observe that .2k C 1/3  .2k  1/3 D 24k2 C 2 D 16k2 C 8k2 C 2 D 16k2 C .2k  1/2 C .2k C 1/2 . For item (b), start by using the formula for telescoping sums to write .2n C 1/3  2 D

n X Œ.2k C 1/3  .2k  1/3  C .33  2/ kD2

D

n X Œ.4k/2 C .2k C 1/2 C .2k  1/2  C 25 kD2

n X D Œ.4k/2 C .2k C 1/2 C .2k  1/2  C 42 C 32 : kD2

Then, observe that the last expression above is a sum of .n  1/  3 C 2 D 3n  1 perfect squares. k 1 D .kC1/1 D kŠ1  .kC1/Š and use telescoping sums. 9. Note that .kC1/Š .kC1/Š 10. For item (a), observe that .kC1/2 Ck2 Ck2 .kC1/2 D k4 C2k3 C3k2 C2kC1 D .k2 C k C 1/2 . In what concerns (b), it follows from (a) that s

1 1 C C1D 2 k .k C 1/2

s

.k2 C k C 1/2 k2 C k C 1 : D k2 .k C 1/2 k.k C 1/

It now suffices to write k2 C k C 1 1 1 1 D1C D1C  k.k C 1/ k.k C 1/ k kC1 and use the formula for telescoping sums or the result of Problem 4. F F Fk 1 D FkC2 D F1k  FkC2 and, then, use the formula for telescoping 11. Write Fk FkC1 k FkC2 kC2 sums. 12. Rationalise the fraction pak C1pakC1 —see Problem 12, page 25—and, then, use the formula for telescoping sums. 13. For item (a), just note that x4 C x2 C 1 D .x4 C 2x2 C 1/  x2 D .x2 C 1/2  x2 D .x2 C 1  x/.x2 C 1 C x/. For (b), use the result of (a) to write k4

k k D 2 2 Ck C1 .k C k C 1/.k2  k C 1/   1 1 1  : D 2 k2  k C 1 k2 C k C 1

Then, use the formula for telescoping P sums. 14. Rationalise the fraction under the notation—see Problem 12, page 25—and, then, use the formula for telescoping sums.

540

B Hints and Solutions

15. Adapt, to the present case, the hint given to the previous problem. 16. Initially, observe that  n    n  n  Y Y 1 1 Y 1 1 2 D 1 1C j j jD2 j jD2 jD2 D

 n   n  Y j1 Y jC1 jD2

j

jD2

j

:

Now, take ak D k for k  1. It follows from Proposition 3.29 that   n   n  n  Y Y 1 aj1 Y ajC1 1 2 D j aj aj jD2 jD2 jD2 D

nC1 a1 anC1 1 nC1 D :  D  an a2 n 2 2n

17. If S is the sum we wish to compute, then SD

101 X kD0

Since 1  xk D 1 

k 101

x3k : .1  xk /3 C x3k

D x101k , we get SD

101 X

x3k 3 x C x3k kD0 101k

and can write 2S D

101 X kD0

D

101 X kD0

D

101

X x3k x3k C 3 3 3 x101k C xk x C x3k kD0 101k 101

X x3 x3k 101k C 3 x3101k C x3k x C x3k kD0 101k

101 3 X x C x3

k 101k 3 x C x3k 101k kD0

D

101 X

1 D 102:

kD0

Hence, S D 51. 18. StartQby factorising both the numerator and denominator of the fraction under the notation. If ak D k2  k C 1, show that akC1 D k2 C k C 1 and, then, use the formula for telescoping products.

B Hints and Solutions

541

19. We first show that n must be even. To this end, suppose that A D A1 [    [ An , with A1 , . . . , An satisfying the conditions of the problem. For 1  k  n, let xk 2 Ak be the Pelement of Ak that equals the arithmetic mean of the other three. Then 4xk D x2Ak x, and it follows that 4

n X

xk D

n X X kD1 x2Ak

kD1

xD

X

x D 1 C 2 C    C 4n D 2n.4n C 1/:

x2A

Hence, n.4n C 1/ must be even and, since 4n C 1 is odd, it follows that n must be even. Now, let n D 2k, with k 2 N, and write f1; 2; 3; : : : ; 8kg D A1 [    [ A2k ; where A2j1 D 8.j  1/ C f1; 3; 4; 8g and A2j D 8.j  1/ C f2; 5; 6; 7g: (Here, for X  R, we define the set X C t by X C t D fx C tI x 2 Xg). Since 3  4 D 1 C 3 C 8 and 3  5 D 2 C 6 C 7, it is immediate to verify that the sets Ai , defined as above, satisfy the conditions of the problem. 20. By the result of Problem 13, page 26, we have p

nC1

p p p p n n D n2 C n  n2 s   1 2 p 2 1 nC <  n D 2 2

p p and, thus, 2. n C 1 n/ < p1n . Analogously, we get Taking these two inequalities together, we get 10000 X kD2

p1 n

p p < 2. n n  1/.

10000 X 1 X p p 10000 p p kC1 k < k k1 : p < k kD2 kD2

However, 10000 X

p p p p k C 1  k D 2 10001  2 2

kD2

and 10000 X

p p p k k1 D2 10000  1 D 198:

kD2

542

B Hints and Solutions

p p Hence, if we show that 2 10001  2 2 > 197, it will come that the greatest integer which is less than or equal to S equals 198. To what is left to do, just see that  p 2  p 2 p p 2 10001 > 2 2 C 197 , 2 10001 > 2 2 C 197 p , 40004 > 788 2 C 38817 p , 788 2 < 1187 , 7882  2 < 11872 , 1241888 < 1408969; which is indeed true. 21. For item (a), factorising .k C 1/pC1  kpC1 with the aid of the result of Problem 18, page 26, we get .k C 1/pC1  kpC1 D

pC1 X .k C 1/pC1j kj1 jD1




kpC1j kj1 D .p C 1/kp :

jD1

For item (b), it follows from (a) and from the formula for telescoping sums that n1 X kD1

k < p

n1 X .k C 1/pC1  kpC1

pC1

kD1

D

npC1  1 npC1 < pC1 pC1

and n X kD1

kp >

n X kpC1  .k  1/pC1 kD1

pC1

D

npC1 : pC1

B Hints and Solutions

543

Section 4.1 1. It follows from the induction hypothesis that 1 C 2 C    C k C .k C 1/ D

.k C 1/.k C 2/ k.k C 1/ C .k C 1/ D : 2 2

2. It follows from the induction hypothesis that k X

j3 D



jD1

2

k.k C 1/ 2

C .k C 1/3 D



.k C 1/.k C 2/ 2

2

:

3. It follows from the induction hypothesis that 1

1 1 1 1 1 C C  C D 2 3 2k  1 2k 2k C 1 1 1 1 1 1 D C CC  C k kC1 2k  1 2k 2k C 1 1 1 1 1 CC C C : D kC1 2k  1 2k 2k C 1

4. By induction hypothesis, we have .k C 1/ C h.1/ C h.2/ C h.3/ C    C h.k  1/ C h.k/ D 1 C kh.k/ C h.k/; Therefore, it suffices to prove that 1 C .k C 1/h.k/ D .k C 1/h.k C 1/ or, which is the same, that .k C 1/.h.k C 1/  h.k// D 1. However, .k C 1/.h.k C 1/  h.k// D .k C 1/ 

1 D 1: kC1

5. It follows from the induction hypothesis that k X

j.j C 1/ D

jD1

D

1 .k  1/k.k C 1/ C k.k C 1/ 3 1 k.k C 1/.k C 2/: 3

6. It follows from the induction hypothesis that kC1 X 1 .2j  1/2 D .2k  1/2k.2k C 1/ C .2k C 1/2 6 jD1

D

1 .2k C 1/2.k C 1/.2k C 3/: 6

544

B Hints and Solutions

8. In trying to appeal to the induction hypothesis, we observe that 4kC1 C 15.kC1/1 D .4k C15k1/C3.4k C5/. Then, since 4k C15k1 is a multiple of 9 (by that induction hypothesis), it suffices to show that 4k C 5 is a multiple of 3. To this end, make another proof by induction: 4lC1 C 5 D .4l C 5/ C 3  4l ; since 4l C 5 (by the new induction hypothesis) and 3  4l are multiples of 3, it follows that 4lC1 C 5 is also a multiple of 3. 9. Appealing to the induction hypothesis, we observe that .k C 1/3  .k C 1/ D .k3  k/ C 3.k2 C k/. Now, since k3  k (by that induction hypothesis) and 3.k2 C k/ are multiples of 3, it comes that .k C 1/3  .k C 1/ is also a multiple of 3. k1 10. If 43  1 D 3k q, for some q 2 N, then 43  1 D .43 k

k1

/3  1 D .43

k1

D 3k qŒ..43

k1

D 3k qŒ.4

3k1

 1/Œ.43

k1

/2  1/ C .43

k1

 1/.4

D 3k qŒ3k q.43

k1

3k1

/2 C 4 3

k1

C 1

 1/ C 3

C 1/ C 3k q C 3

C 1/ C 3k q C 3

D 3kC1 qŒ3k1 q.43

k1

C 1/ C 3k1 q C 1:

11. Suppose we have n1 ways of choosing an object of type 1, n2 ways of choosing an object of type 2, . . . , nk ways of choosing an object of type k, nkC1 ways of choosing an object of type k C 1. In order to choose an object of each of these k C 1 types, start by choosing an object of each of the types from 1 to k. By induction hypothesis, there are exactly n1 n2 : : : nk possible distinct choices. On the other hand, for each of these choices, we have nkC1 ways of choosing an object of type k C 1. Therefore, the number of ways of choosing an object of each of the types from 1 to k C 1 is equal to n n : : : nk C n1 n2 : : : nk C    C n1 n2 : : : nk D n1 n2 : : : nk nkC1 : „1 2 ƒ‚ … nkC1 times

12. By induction hypothesis, suppose that any set with k elements has exactly 2k subsets. If A D fa1 ; a2 ; : : : ; ak ; akC1 g is a set with k C 1 elements. It has two distinct kinds of subsets: those which are subsets of B D fa1 ; a2 ; : : : ; ak g and those which contain akC1 . By the induction hypothesis, A has exactly 2k subsets of the first type. On the other hand, the subsets of the second type are of the form B0 [ fakC1g, where B0 is a subset of B. Again by induction hypothesis, there are also 2k subsets of this second type. Hence, A has 2k C 2k D 2kC1 subsets. 13. To the first case, by using the induction hypothesis (strong induction!), we get ukC2 D rukC1  suk D rakC1  sak D akC2 . The second case is completely analogous.

B Hints and Solutions

545

14. By induction hypothesis, suppose that .a1 ; a2 ; : : : ; ak / is an AP of common difference r. Then, X 1 X 1 1 k1 1 k D D C D C a1 akC1 aa aa ak akC1 a1 ak ak akC1 jD1 j jC1 jD1 j jC1 k

k1

and, hence, kak D .k  1/akC1 C a1 . However, ak D a1 C .k  1/r, so that .k  1/akC1 D k.a1 C .k  1/r/  a1 D .k  1/.a1 C kr/: Therefore, akC1 D a1 C kr, and .a1 ; a2 ; : : : ; ak ; akC1 / is also an AP. 15. For item (a), the induction hypothesis gives akC1 D a2k  ak C 1 D ak .ak  1/ C 1 D ak  .a1 : : : ak1 / C 1 D a1 : : : ak1 ak C 1: For (b), it follows from the induction hypothesis and the result of (a) that kC1 k X X 1 1 1 1 1 D C D2 C a a a a a : : : a a j j kC1 1 2 k kC1 jD1 jD1

D2

akC1  a1 a2 : : : ak 1 D2 : a1 a2 : : : ak akC1 a1 a2 : : : ak akC1

16. By induction hypothesis, we have 22

D .22 /2 > k2k , so that it suffices to  2 k k show that k2k  .k C 1/kC1 or, which is the same, kC1  k C 1. Such an inequality is true for every integer k  3, for we have kC1



k2 kC1

k



1 D k1C kC1

k

k

> .k  1/k  .k  1/3  k C 1:

17. For n 2 Z, let an D xn C xn . We first show that an 2 Z for every n 2 N. The hypothesis of the problem gives a1 2 Z, so that a 2 D x2 C

  1 1 2 D x C  2 D a21  2 2 Z: x2 x

Now suppose, by induction hypothesis, that a1 ; a2 ; : : : ; ak 2 Z, for a certain integer k  2. Then,

546

B Hints and Solutions

1 akC1 D xkC1 C kC1 x      1 1 1 k k1  x xC D x C k C k1 x x x D ak a1  ak1 2 Z; and the induction step is complete. To what was left to show, it suffices to see that a0 D 2 and, if n < 0 is an integer, then an D an 2 Z. 18. It follows from induction hypothesis that x2kC1 D .x3k  3xk /2 D x6k  6x4k C 9x2k D .yk C 2/3  6.yk C 2/2 C 9.yk C 2/ D y3k  3yk C 2 D ykC1 C 2: 19. It suffices to prove that the quotient immediate by induction, for

xnC1 Cxn1 xn

does not depend on n. This is

xnC2 xn C x2n  x2nC1  xn1 xnC1 xnC2 C xn xnC1 C xn1  D xnC1 xn xnC1 xn D

.x2nC1  1/ C x2n  x2nC1  .x2n  1/ D 0: xnC1 xn

20. For item (a) we have, by induction hypothesis, F1 C F2 C    C Fk C FkC1 D .FkC2  1/ C FkC1 D FkC3  1. For (b) (and also by induction hypothesis), 2 2 D Fk FkC1 C FkC1 D FkC1 FkC2 : F12 C F22 C    C Fk2 C FkC1

Items (c), (d) and (e) can be dealt with in an analogous way. 21. We make induction on n  1. For n D 1, the relation in the statement of the problem is simply the recursive definition of FmC1 . In general, it follows from the induction hypothesis that FmCkC1 D FmCk C FmCk1 D .Fm FkC1 C Fm1 Fk / C .Fm Fk C Fm1 Fk1 / D Fm .FkC1 C Fk / C Fm1 .Fk C Fk1 / D Fm FkC1 C Fm1 FkC1 : 22. In both items, make induction on n, for a fixed m  1. For the initial cases 2FmC1 D Fm C Lm and 2LmC1 D 5Fm C Lm , you will also have to make inductive arguments.

B Hints and Solutions

547

23. For (a), observe that F1 D 1, F2 D 1, F3 D 2, F4 D 3, F5 D 5, F6 D 8, F7 D 13, F8 D 21, F9 D 34, F10 D 55, F11 D 89, F12 D 144, F13 D 233, F14 D 377. Therefore, F1 D 12 , F12 D 122 and F13 > 132 , F14 > 142 . On the other hand, if Fk > k2 and FkC1 > .k C 1/2 , then FkC2 D Fk C FkC1 > k2 C .k C 1/2 > .k C 2/2 for every k > 3. Hence, we get by induction that Fn > n2 for every n  13. For the first part of item (b), note that ˛ is a root of the second degree equation x2  x  1 D 0, so that ˛ 2 D ˛ C 1. Thus, we have by induction that ˛ kC1 D ˛ k  ˛ D .Fk ˛ C Fk1 /˛ D Fk ˛ 2 C Fk1 ˛ D Fk .˛ C 1/ C Fk1 ˛ D .Fk C Fk1 /˛ C Fk D FkC1 ˛ C Fk ; Now, note that ˛ n  n2 ˛ D Fn ˛ C Fn1  n2 ˛ D .Fn  n2 /˛ C Fn1 . Since ˛ is irrational, it follows from this equality that ˛ n  n2 ˛ will be an integer if and only if Fn  n2 D 0. Hence, the solution of ii. follows from that of the item (a). 24. Use induction to construct a subsequence .ank /k1 of .an /n1 such that ank > nk ; a1 ; a2 ; : : : ; ank1 . 25. If aj D j for 1  j  k, then we get from a31 C a32 C    C a3k C a3kC1 D .a1 C a2 C    C ak C akC1 /2 that 13 C 23 C    C k3 C a3kC1 D .1 C 2 C    C k C akC1 /2 : According to the result of Problem 2, this last relation gives 1 Œk.k C 1/2 C a3kC1 D 4



1 k.k C 1/ C akC1 2

2

:

Performing the computations at the right hand side, we arrive at a3kC1 D a2kC1 C k.k C1/akC1 or, which is the same, a2kC1 akC1 k.k C1/ D 0. Since akC1 > 0, it immediately follows that akC1 D k C 1. p 26. If xk > a, then   p p p 1 1 a xk  2 a C xkC1  a D D .xk  a/2 > 0: 2 xk 2xk To the other inequality, we start by observing that, if x  y > y C ay (*); in fact,

p a, then x C ax 

548

B Hints and Solutions

     a a 1 1 .x  y/ xC  yC D .x  y/ C a  D .xy  a/  0; x y x y xy for xy 

p 2 p a D a. Now, if xk  a C xkC1

1 , 2k1

then, from (*), we get !   1 p 1 a 1 a xk C  D a C k1 C p 1 2 xk 2 2 a C 2k1   p 1 p 1 a 1 < a C k1 C p D aC k: 2 2 2 a

27. If k  6 and a1 , a2 , . . . , ak are positive integers such that 1 1 1 C 2 C    C 2 D 1; 2 a1 a2 ak then 1 1 1 1 1 1 1 3 C C C C CC D C D 1: 2 2 2 4 4 4 .2a1 / .2a2 / .2ak / 4 4 Hence, by a simple variant of the strong form of the principle of mathematical induction, it suffices to consider the cases k D 6, k D 7 and k D 8. Before we look at them, note that 1 1 1 1 C C D 9 9 36 4

and

1 1 1 1 C C C D 1: 4 4 4 4

1 Therefore, for k D 6, we have 14 C 14 C 14 C 19 C 19 C 36 D 1; for k D 1 1 1 1 1 1 1 7, we have 16 C 16 C 16 C 16 C 9 C 9 C 36 D 1; for k D 8, we have 1 1 1 C 14 C 19 C 19 C 36 C 19 C 19 C 36 D 1. 4 28. Argue as in the proof of Example 4.12. 29. For the existence of a representation for n, if .k C 1/Š  n < .k C 2/Š, let akC1 be the greatest natural number such that akC1 .k C 1/Š  n < .akC1 C 1/.k C 1/Š. Then, the inequalities akC1 .k C1/Š  n < .k C2/Š D .k C2/ .k C1/Š guarantee that akC1  k C 1; on the other hand, since

n  akC1 .k C 1/Š < .akC1 C 1/.k C 1/Š  akC1 .k C 1/Š D .k C 1/Š; it follows from the induction hypothesis that n  akC1 .k C 1/Š D a1  1Š C a2  2Š C    C ak  kŠ; for certain integers a1 , a2 , . . . , ak , such that 0  aj  j, for 1  j  k. For the uniqueness of the representation of n, suppose we have established it for every natural n such that n  .k C 1/Š. Take n 2 N such that .k C 1/Š  n < .k C 2/Š, and assume that

B Hints and Solutions

549

n D a1  1Š C a2  2Š C   C akC1  .k C 1/Š D b1  1Š C b2  2Š C   C bkC1  .k C 1/Š; with 0  aj ; bj  j for every j  1. Then, by the result of Example 3.26, we get akC1  .k C 1/Š  n D b1  1Š C b2  2Š C    C bkC1  .k C 1/Š  1  1Š C 2  2Š C    C k  kŠ C bkC1  .k C 1/Š D .bkC1 C 1/  .k C 1/Š  1 < .bkC1 C 1/  .k C 1/Š; (B.1) so that akC1  bkC1 . Analogously, bkC1  akC1 and, thus, akC1 D bkC1 . Therefore, we have n  akC1  .k C 1/Š D a1  1Š C a2  2Š C    C ak  kŠ D b1  1Š C b2  2Š C    C bk  kŠ; with (again by the result of Example 3.26) n  akC1  .k C 1/Š  1  1Š C 2  2Š C    C k  kŠ D .k C 1/Š  1: It thus follows from the induction hypothesis that aj D bj , for 1  j  k. 30. For the existence of a representation as asked by the problem assume, as induction hypothesis, that for some natural n  3 every m  Fn can be uniquely written as asked. Now, take a natural m such that Fn < m  FnC1 . If m D FnC1 , there is nothing to do. Otherwise, 0 < m  Fn < FnC1  Fn D Fn1 < Fn . Therefore, by induction hypothesis, there exist an integer r  1 and nonconsecutive indices 1 < t1 <    < tr < n such that mFn D Ft1 C  CFtr . Then, m D Ft1 C  CFtr CFn , and we claim that ntr > 1. In fact, if ntr D 1, we would have m  Fn C Ftr D Fn C Fn1 D FnC1 , thus contradicting the fact that m < FnC1 . For the uniqueness of representation assume, as induction hypothesis, that for some natural n  3 every natural m  Fn can be uniquely represented as asked. Now, take m 2 N such that Fn < m  FnC1 , and consider two cases separately: (a) m D FnC1 : there are two subcases. First, suppose that FnC1 D Ft1 C Ft2 C    C Ftr , with r  1, 1 < t1 < t2 <    < tr < n and tjC1  tj > 1 for 1  j < r. Then, FnC1 D Ft1 C Ft2 C    C Ftr < Ft1 1 C Ft1 C Ft2 C    C Ftr D Ft1 C1 C Ft2 C    C Ftr < Ft2 1 C Ft2 C Ft3 C    C Ftr D Ft2 C1 C Ft3 C    C Ftr < Ft3 1 C Ft3 C    C Ftr D  < Ftr C1  Fn < FnC1 ;

550

B Hints and Solutions

which is an absurd. Now, if FnC1 D Ft1 C    C Ftr C Fn , then Ft1 C    C Ftr D FnC1  Fn D Fn1 and, by the uniqueness of the representation of Fn1 , we would conclude that any other representation of FnC1 would be FnC1 D Fn C Fn1 , which does not satisfy the conditions of the statement of the problem. (b) Fn < m < FnC1 : let us show that Fn is necessarily one of the summands of the representation. In fact, if m D Ft1 C    C Ftr , with tr < n, then a reasoning analogous to that of the first subcase of item (a) would give us the absurd conclusion m  Fn . Therefore, for a representation of m as in the statement of the problem, we should surely have m D Ft1 C    C Ftr C Fn , with tr < n  1. Thus, since m  Fn < FnC1  Fn D Fn1 , the uniqueness of the representation of m follows from the uniqueness of the representation of m  Fn .

Section 4.2   2n1   2n 2n1 It suffices to note that 2n n D n n1 D 2 n1 . Adapt, to the  present  n  case, the idea of the solution   of Example 4.18. Compare nk to kC1 using the definition of nj . Make a proof by induction on n. Apply Stiefel’s relation to the numerator of the fraction and, then, use telescoping sums. 6. Make a proof by induction, applying Stiefel’s relation in the induction step. 7. Let an be defined by the expression at the right hand side of the equality we wish to establish. Show that a1 D 1, a2 D 1 and (using Stiefel’s relation) anC2 D anC1 C an , for every integer n  1. 8. Make induction on n; more precisely, show that, for each n 2 N, the set f1; 2; : : : ; ng has nk subsets of k elements each, for every 0  k  n. For the induction step, note that each of the subsets of k elements of f1; 2; : : : ; n C 1g is of one of two possible types: those not containing n C 1 – thus, being subsets of k elements of f1; 2; : : : ; ng – and those containing n C 1 – thus, being equal to sets of the type A [ fn C 1g, where A is a subset of k  1 elements of f1; 2; : : : ; ng. 1. 2. 3. 4. 5.

Section 4.3 1. Use Newton’s binomial formula to expand 4n D .1 C 3/n .

B Hints and Solutions

551

2. It follows from the previous problem that A D 4n . Moreover, by an analogous 8 reasoning to that of the previous problem, we get B D 12n1 . Therefore, 34 D n1 n1 B 12 3 A D 4n D 4 , so that n D 9.   1 n . 3. Compute the first three terms in the expansion of .1; 1/n D 1 C 10 4. The sum we wish to compute equals 1 11Š



 11Š 11Š 11Š 11Š 11Š 11Š C C C C C D 1Š10Š 3Š8Š 5Š6Š 7Š4Š 9Š2Š 11Š0Š ! ! ! ! ! !! 1 11 11 11 11 11 11 D C C C C C 11Š 1 3 5 7 9 11

D

1  2111 : 11Š

5. The general term of such expansion is

65 1 k

3k

. Now, observe that

! ! 65 1 65 1 1 1 1 < , <  , 65  k > 3.k C 1/ , k  15: k C 1 3kC1 65  k kC1 3 k 3k

6.

7. 8. 9.

 1  65  1 Analogously, 65 , k  16, so that the maximal term is k > k kC1 3kC1 3 65 1 16 316 . The given condition is equivalent to a2 C b2 C ab D c2 C d2 C cd. On the other hand, it follows from the binomial expansion that a4 Cb4 C.aCb/4 D c4 Cd 4 C .cCd/4 if and only if a4 Cb4 C2a3 bC3a2 b2 C2ab3 D c4 Cd4 C2c3 d C3c2 d2 C 2cd3 . Finally, observe that a4 C b4 C 2a3 b C 3a2 b2 C 2ab3 D .a2 C b2 C ab/2 and, analogously,c4 C d4 C 2c3 d C 3c2 d2 C 2cd3 D .c2 C d2 C cd/2 . Use the result of Problem 3, page 103—with 2n in place of n—together with the theorem on the lines of the Pascal triangle. Adapt, to the present case, the idea of the solution of Example 4.27. It suffices to see that ! ! n n X n j X n  1 j1 ja D an a D an.1 C a/n1 j j  1 jD0 jD1 and ! ! ! ! n n n n X X X X n1 n1 n1 n 2 n n n jD .j  1/ C j D j1 j1 j1 j jD0 jD1 jD1 jD1 ! ! n n X X n1 n2 n.n  1/ Cn D j1 j  2 jD2 jD1 D n.n  1/  2n2 C n  2n1 :

552

B Hints and Solutions

10. Use the formula for the general term of an AP, together with the result of the previous problem. 11. Write 1q D 1 C a, with a > 0, and use the fact that .1 C a/n  1 C na. p p p 12. Making ˛ D a C n b, we get .˛  a/n D b. Now, arguing as in the proof of the Example 4.23, we conclude that .˛ 

p n a/ D .˛ n C an2 ˛ n2 C an4 ˛ n4 C    /C p C .an1 ˛ n1 C an3 ˛ n3 C    / a;

for certain integers a0 , a1 , a2 , . . . , an2 , an1 . Hence, Œ.˛ n C an2 ˛ n2 C an4 ˛ n4 C    /  b2 D D a.an1 ˛ n1 C an3 ˛ n3 C    /2 : so that ˛ is the root of the polynomial equation of degree 2n Œ.xn C an2 xn2 C an4 xn4 C    /  b2   a.an1 xn1 C an3 xn3 C    /2 D 0: 13. First of all, let’s find out which is the (constant) value of the given expression. To this end, substituting x D 2 and y D z D 1 (observe that xCyCz D 0), we x5 Cy5 Cz5 get x5 C y5 C z5 D 30 and xyz.xy C yz C zx/ D 6, so that xyz.xyCyzCzx/ D 5. 5

5

5

x Cy Cz Therefore, we ought to prove that xyz.xyCyzCzx/ D 5, for all nonzero reals x, y and z such that x C y C z D 0. To this end, note that

x5 C y5 C z5 D x5 C y5 C .x  y/5 D x5 C y5  .x C y/5 D x5 C y5  .x5 C 5x4 y C 10x3 y2 C 10x2 y3 C 5xy4 C y5 / D .5x4 y C 5xy4 C 10x3 y2 C 10x2 y3 / D 5xyŒ.x3 C y3 / C 2xy.x C y/ D 5xy.x C y/Œ.x2  xy C y2 / C 2xy D 5xy.z/Œ.x2 C 2xy C y2 /  xy D 5xyzŒ.x C y/.x C y/  xy D 5xyzŒ.x C y/.z/  xy D 5xyz.xy C yz C zx/:

B Hints and Solutions

553

14. Applying Newton’s expansion formula twice, we get ! n X n .x C y/nl zl .x C y C z/ D l lD0 ! nl ! n X n X n  l nlk k l D yz x l kD0 k lD0 ! ! nl n X X n n  l nlk k l D y z: x l k lD0 kD0 n

   nŠ Now, observe that nl nl D .nkl/ŠkŠlŠ , so that it suffices to make j D n  k  l k to get the formula in the statement of the problem.  10  10  j k  1 l 16. The general term in the expansion of 1 C x C 6x 1x x is j;k;l D  10  kl x , with j C k C l D 10. Therefore, we should have k C l D 10  j j;k;l and k  l D 0, so that k D l D 5  2j and, hence, j must be even. Now, make j successively  equal to 0, 2, 4, 6, 8 and 10 and add all of the corresponding summands j;5 10 j j . 2 ;5 2 n P 17. Use the trinomial expansion formula to get jCkClDn j;k;l D .1 C 1 C 1/n and   P n l n jCkClDn .1/ j;k;l D .1 C 1  1/ . 18. Make induction on n. To the induction step you will need to use Stiefel’s relation, together that FkC2 D FkC1 C Fk , for every k  1. Pwith the fact k 1991 1991k D 1. To this end, start by writing 19. Let’s show that 995 kD0 .1/ 1991k k ! 1991  k 1991 .1/ D 1991  k k kD0 ! 995 ! 995 X X 1991  k k k 1991  k k C D .1/ .1/ k 1991  k k kD0 kD0 ! ! 995 995 X X 1990  k k 1991  k C : D .1/ .1/k k k1 kD0 kD0 995 X

k

    P Now, for n 2 N, define Sn D k0 .1/k nk by setting nk D 0 for k > k k Pn2 n  k, so that S0 D S1 D 1. Use the columns’ theorem to get mD0 Sm D   P P n2 k n1k .1/ or, which is the same, S D 1  S . D 1  S n n k0 mD0 m From kC1 this last relation, prove that SnC1 D Sn  Sn1 for every n 2 ZC , and compute

554

B Hints and Solutions

S2 D 0, S3 D S4 D 1, S5 D 0, S6 D S7 D 1. Finally, show that Sm D Sn whenever 6 divides m  n, and observe that 995 X

1991  k 1991 .1/ 1991  k k kD0 k

! D S1991  S1989 D S5  S3 D 0  .1/ D 1:

Section 5.1 2. First of all, note that 

  3  b2 .b  a/ a3 b a2 .a  b/  a2 C  b2 D C b a b a   2   3 a a  b3  a2 D .a  b/ D .a  b/ b ab D

1 .a  b/2 .a2 C ab C b2 /: ab

Therefore, it suffices to show that a2 C ab C b2  0. To this end, write   b 2 3b2 > 0: a2 C ab C b2 D a C C 2 4 Of course, equality holds if and only if a D b. 3. For x ¤ a; b; c, to solve the given equation is the same as to solve the second degree equation .x  b/.x  c/ C .x  a/.x  c/ C .x  a/.x  b/ D 0: Now, observe that the discriminant of such an equation equals 4.a C b C c/2  12.ab C ac C bc/ D 4Œ.a2 C b2 C c2 /  .ab C ac C bc/; which is a strictly positive number. 4. Write the left hand side as a.a C b C c/ C bc. Then, apply inequality (5.2). 5. Firstly, show that a3 C b3  .a C b/ab. Then, deduce that a3 Cb13 Cabc  c abc.aCbCc/ , getting analogous inequalities for the other two summands of the left hand side. Finally, add the three inequalities thus obtained. 6. Apply Ravi’s transformation to conclude that is sufficient to prove that .y C z/ .x C z/.x C y/  8xyz, for every positive real numbers x, y and z. To this end, use inequality (5.2) three times.

B Hints and Solutions

555

7. Apply Ravi’s transformation to rewrite the left hand side as 1 2



 y z x z y x C C C C C : x x y y z z

Then, use the inequality between the arithmetic and geometric means for six numbers. 8. By adequately grouping in pairs the summands at the left hand side and applying inequality (5.7), between the arithmetic and harmonic means, we get   aCc cCa 1 4 1 C D .a C c/ C  .a C c/  aCb cCd aCb cCd .a C b/ C .c C d/ and   bCd dCb 1 1 4 C D .b C d/ C  .b C d/  : bCc dCa bCc aCd .b C c/ C .a C d/ Now, it suffices to add the two inequalities above. 9. The inequality we wish to prove is equivalent to 1 C x C x2 C    C x2n1 C x2n  .2n C 1/xn or, which is the same, to .1 C x2n / C .x C x2n1 / C    C .xn1 C xnC1 /  2nxn : In order to prove this last one, it suffices to apply inequality (5.1) n times, adding the n inequalities thus obtained. 10. It follows from (5.4) that p 4 3a4 C b4 D a4 C a4 C a4 C b4  4 a4  a4  a4  b4 D 4ja3bj  4a3 b: 11. We’ve already shown that a2 C b2 C c2  ab C bc C ca, for every positive reals a, b and c. Multiply both sides of this inequality by a C b C c to get the desired inequality. 12. Since .ab C bc C ca/2 D .ab/2 C .bc/2 C .ca/2 C 2abc.a C b C c/, it suffices to show that .ab/2 C .bc/2 C .ca/2  abc.a C b C c/: Making x D ab, y D bc and z D ca in (5.3), we get .ab/2 C .bc/2 C .ca/2 D x2 C y2 C z2  xy C yz C zx D abc.a C b C c/:

556

B Hints and Solutions

13. Apply inequality (5.3) once more. 14. Expand the right hand side and use the algebraic identity (2.5). After performing the obvious cancellations, apply the inequality of Example 2.3 three times. Then, use inequality (5.5). 15. Let S D a4 .1 C b4 / C b4 .1 C c4 / C c4 .1 C a4 /. Then, apply the inequality between the arithmetic and geometric means for two and three numbers, to get S  a4  2b2 C b4  2c2 C c4  2a2 p  3 3 .2a4 b2 /.2b4 c2 /.2c4 a2 / p 3 D 6 a 6 b 6 c6 D 6a2 b2 c2 : 16. Apply the inequality between the arithmetic and geometric means. 17. Change ai by ai and, then, apply the inequality between the arithmetic and geometric means. 18. For item (a), it follows from the inequality between the arithmetic and geometric means that  nŠ D 1  2     n 

1C2CCn n

n

 D

nC1 2

n :

For item (b), argue as in (a), applying the inequality between the arithmetic and geometric means to the numbers 12 , 22 , . . . , n2 and, then, using the result of Example 4.18. 19. For 1  k  m  1, apply the inequality between the arithmetic and geometric means to x C k D x C „ 1 C ƒ‚    C… 1. Then, multiply the m  1 inequalities thus k

obtained. P 20. Since njD1 .S  xj / D .n  1/S, the inequality in the statement of the problem is equivalent to 10 0 n n X X @ .S  xj /A @ jD1

jD1

1 1 A  n2 : S  xj

Then, it suffices to apply inequality (5.7). 21. For item (a), just expand the product of the left hand side. For (b), apart from the hint given in the statement of the problem, apply the result of Problem 8, page 104 (with k D 2), to conclude that the sum at the right hand side of item (a) has exactly 12 n.n  1/ summands.

B Hints and Solutions

557

22. First of all, note that  k1 k2 : : : kn

1 1 1 C CC k1 k2 kn

 D p1 C p2 C    C pn ;

with pi D k1 : : : ki1b ki kiC1 : : : kn , the hat over ki indicating that the product contains all of k1 , k2 , . . . , kn , with the exception of ki . Then, we can write ak11 a k2 a kn p1 ak11 C p2 ak22 C    C pn aknn C 2 CC n D : k1 k2 kn k1 k2 : : : kn Now, expand the summands of the numerator in such a way that each aki i appears pi times and apply the inequality between the arithmetic and geometric means to get 1 Œ.ak1 C    C ak11 / C    C .aknn C    C aknn /  „ ƒ‚ … k1 k2 : : : kn „1 ƒ‚ … p1 vezes



 .a1 /k1 /p1 : : : .an /kn / D

n Y

pi ki k k :::kn

ai 1 2

pn times

 pn k

1 1 k2 :::kn

D a1 a2 : : : an :

iD1

23. Make a0 D 0 and apply (5.7) to get 1 1 j2 CC  : aj  aj1 a1  a0 aj Then, add the above inequalities for 1  j  n and group equal terms to get the desired inequality. Finally, conclude that equality holds if and only if the sequence .ak /k1 is an AP. 24. Substituting a, b and c respectively by 6x6 , 6y6 and 6z6 , show that it suffices to prove that 7x12 C 12x6 y6 C 7y6 z6 C 9y12 C 9x6 z6   2x3 y9 C 6x9 y3 C 6x2 y8 z2 C 12x5 y5 z2 C 6x4 y4 z4 C 6xy7 z4 C 6x8 y2 z2 : To this end, write the left hand side expression as a sum of seven other expressions, chosen in such a way that, when applying the inequality between the arithmetic and geometric means to each one of them, we get the seven summands of the right hand side. For instance: 2x6 z6 C 2x6 z6 C 2x12 C 2y12 C 2y12 C 2x6 y6  12x5 y5 z2 :

558

B Hints and Solutions

Section 5.2 p p 2 2 2 2 1. By p Cauchy’ inequality, we have 12144D 3x C 4y  3 C 4 x C y D 5 x2 C y2 . Therefore, x2 C y2  25 , with equality holding if and only if y x 36 3 D 4 . However, since 3x C 4y D 12, equality holds if and only if x D 25 and 48 y D 25 . 2. Adapt the discussion of the case n D 3, presented in the text. 3. Making b1 D b2 D    D bn D 1 in Cauchy’s inequality, we get a1 C a2 C    C an 

q

p a21 C a22 C    C a2n n;

with equality if and only if there exists a nonzero real number  such that a11 D a2 D    D a1n D , i.e., if and only if a1 , a2 , . . . , an are all equal. Dividing by 1 n both sides of the above inequality, we get the decided inequality. 4. Apply the inequality between the quadratic and arithmetic means (see last problem) to the numerator of the fraction at each summand above. Then, add the results thus obtained. 5. We want to prove that 1 n X 1A @ xj A @  n2 ; x jD1 jD1 j 0

n X

10

p for all positive reals x1 , x2 , . . . , xn . To this end, make aj D xj , bj D p1xj and apply Cauchy’s inequality. 6. Multiply both C b C c C dpand applyp Cauchy’s inequality for n D 4, psides by ap with a1 D a, a2 D b, a3 D c, a4 D d and b1 D p1a , b2 D p1b , b3 D

2 p

c

p4 . Alternatively, apply (5.7), writing c d d d 16 1 1 1 1 C C d=4 C d=4 . 4 4 and d D d=4 C pd=4

, b4 D

D 2c C 2c ,

4 c

D

1 1 c=2 C c=2 ,

d D d4 C d4 C p p 7. For the left hand inequality, let S D 2x C 3 C 2y C 3 C 2z C 3. Applying the inequality between the arithmetic and geometric means for three numbers, we get p S  3 6 .2x C 3/.2y C 3/.2z C 3/ p D 3 6 8xyz C 12.xy C xz C yz/ C 18.x C y C z/ C 27 p p 3 6 > 3 18  3 C 27 D 3 9: For the right hand inequality, apply the inequality between thepquadratic and arithmetic means forpthree numbers (cf. Problem 3), with a1 D 2x C 3, a2 D p 2y C 3 and a3 D 2z C 3, and use the fact that x C y C z D 3.

B Hints and Solutions

559

8. Apply the inequality the quadratic and arithmetic means (cf. Probq between  n . Then, use the result of item (a) of Corollary 4.25. lem 3), with ak D k 9. By Cauchy’s inequality, we have 

y2 z2 x2 C C y2 z2 x2



y2 z2 x2 C C z2 x2 y2





y z z x x y  C  C  y z z x x y 2  z x y C C D : x y z 

2

10. Since a2  b2k C b2k b2k a2k D k D .ak  bk / C ; ak C bk ak C bk ak C bk we get n X kD1

n n n X X X a2k b2k b2k D .ak  bk / C D : ak C bk a C bk a C bk kD1 kD1 k kD1 k

Hence, n X kD1

X a2 C b2 a2k 1X 1X k k  ak ,  .ak C bk /; ak C bk 2 kD1 a C bk 2 kD1 kD1 k n

n

2

n

2

Cy  xCy and it suffices to show that xxCy 2 , for all positive reals x and y. This follows immediately from the inequality between the quadratic and arithmetic means (cf. Problem 3). 11. Start by letting anC1 D a1 . Now, for 1  j  n, use Cauchy’s inequality to write

aj p .1 C aj /2 D 1  1 C ajC1  p ajC1

!2  .1 C ajC1 / 1 C

a2j ajC1

! ;

so that 1C

a2j ajC1



.1 C aj /2 : 1 C ajC1

Then, multiply the n inequalities obtained in this way to reach the desired one. 12. Perform Ravi’s transformation (according to the discussion that precedes the statement of Problem 6, page 120) to show that the given inequality is equivalent to

560

B Hints and Solutions

p p p p p p 2x C 2y C 2z  y C z C x C z C x C y; for positive reals x, y and z. Then, use the inequality between the quadratic and q p

p yC z

 , with equality if arithmetic means (cf. Problem 3) to show that yCz 2 q2 q p p p p xC y xC z and only if y D z; analogously, get xCz and xCy , and 2  2 2  2 add these three inequalities to get the desired one. 13. Use Cauchy’s inequality to get n X

!2 a k b k ck

n X  .ak bk /2

kD1

!

kD1

n X

! c2k

:

kD1

and n X

v ! n ! u n X u X 2 2 4 4 t ak bk  ak bk

kD1

kD1

kD1

Now, check that the inequality between the quadratic and arithmetic means (cf. Problem 3) gives n X

v ! u n u X 2 4 t ck  n ck :

kD1

kD1

Finally, it suffices to combine both inequalities above. 14. Make x D 1a , y D 1b , z D 1c and, then, apply Cauchy’s inequality to get 

y2 z2 x2 C C ..y C z/ C .x C z/ C .x C y// yCz xCz xCy



 .x C y C z/2 :

Finally, use the inequality between the arithmetic and geometric means to conclude the proof.

Section 5.3 1. Start by observing that    n  1 nC1 1 C nC1 1 1 1  D 1 C :   n nC1 .n C 1/2 1 C 1n Then, apply Bernoulli’s inequality.

B Hints and Solutions

561

 m 2. Write am D mm 1 C am and apply Bernoulli’s inequality. Do the same with m an and, then, add the results. 3. The desired inequality is equivalent to a6 b6 c6 C C  ab C ac C bc: b 2 c2 a 2 c2 a2 b2 Suppose, without loss of generality, that a  b  c. Then, a6  b6  c6 and 1  a21c2  a21b2 . Applying in succession Chebyshev’s inequality and the b2 c2 inequality between the arithmetic and geometric means, we get   b6 c6 1 6 1 1 a6 1 6 6 C 2 2 C 2 2  .a C b C c / 2 2 C 2 2 C 2 2 b 2 c2 a c a b 3 b c a c a b   1 1 1  a 2 b 2 c2 C 2 2C 2 2 b 2 c2 a c a b D a 2 C b 2 C c2 : Finally, since we already know that a2 C b2 C c2  ab C ac C bd, there is nothing left to do. 4. Write x41 C x42 C    C x41994 D x31  x1 C x32  x2 C    C x31994  x1994 and, then, apply Chebyshev’s inequality to get x41 C x42 C    C x41994 

1 .x3 C x32 C    C x31994 /.x1 C x2 C    C x1994 /: 1994 1

Now, use the equations of the system. 5. Apply Chebyshev’s inequality to each summand of the left hand side. 6. Let’s show that, for every n > 1, one has n X iD1

i a i b i 

n X iD1

! i a i

n X

! i b i

 0:

iD1

To this end, start by observing that the left hand side equals n X iD1

i .1 C    C b i C    C n /ai bi 

n X

i j a i b j ;

(B.2)

i;jD1

i¤j

where b i indicates that the summand i is omitted. Then, notice that, to each pair .i; j/ with i < j, the sum i j ai bi C i j aj bj  i j ai bj  i j aj bi D i j .ai  aj /.bi  bj /

562

B Hints and Solutions

appears in (B.2) exactly once, which means that n X

i a i b i 

iD1

n X

!

n X

i a i

iD1

! i bi i j .ai  aj /.bi  bj /  0:

iD1

Equality holds when all of the ai ’s or all of the bi ’s are equal. Finally, the usual Chebyshev’s inequality corresponds to the particular case in which i D 1n , for 1  i  n. 7. Apply Chebyshev’s inequality to conclude that the expression at the left hand side is greater than or equal to   1 1 3 1 1 1 3 3 3 .a C b C c C d / C C C : 4 bCcCd aCcCd aCbCd aCbCc Then, apply the result of Corollary 5.20, together with (5.7), to conclude that the last expression above is greater than or equal to 

aCbCcCd 4

3

.a C b C c C d/2 42 D : 3.a C b C c C d/ 12



Finally, observe that the condition given in the statement of the problem is equivalent to .aCc/.bCd/ D 1, and apply the inequality between the arithmetic and geometric means. 8. By symmetry we can suppose, without loss of generality, that a  b  c. This 1 1 1 way, we get bCc  aCc  aCb . Applying Chebyshev’s inequality and (5.7), we obtain   bn cn 1 1 1 1 an C C  C C .an C bn C cn / bCc aCc aCb 3 bCc aCc aCb 

3 .an C bn C cn /: 2.a C b C c/

Also by Chebyshev’s inequality, it follows that a n C b n C cn 

1 .a C b C c/.an1 C bn1 C cn1 /; 3

which completes the proof. 9. Suppose, with no loss of generalidade, that x  y  z. Use Chebyshev’s inequality to conclude that the expression in the statement of the problem is greater than or equal to 

x3 C y3 C z3 3

 

.x C 1/ C .y C 1/ C .z C 1/ : .x C 1/.y C 1/.z C 1/

B Hints and Solutions

563

Apply Chebyshev’s inequality to the first factor and the inequality between the arithmetic and geometric means to the second factor to conclude that the last 3t3 1 expression above is greater than or equal to .tC1/ 2 , where t D 3 .x C y C z/. Finally, use again the inequality between the arithmetic and geometric means 3t3 3s3 to conclude that t  1, and prove that t  s ) .tC1/ 2  .sC1/2 . 10. In order to get the first inequality, apply Chebyshev’s inequality to the first sum, followed by the result of Corollary 5.8. For the second inequality, use the inequality between the arithmetic and geometric means. 11. Suppose, with no loss of generalidade, that a1  a2      a2n . Arrange the given numbers in n pairs .b1 ; c1 /, .b2 ; c2 /, . . . , .bn ; cn /, with b1  b2      bn and bj  cj , for each j. We wish to maximize S D b 1 c1 C b 2 c2 C    C b n cn : To this end, we will show that c1  c2      cn . Indeed, if the sequence .ci / isn’t nondecreasing, there will exist indices i > j such that ci  cj . In this case, we change the positions of ci and cj in S, after which the new sum will be S0 D S  bi ci  bj cj C bi cj C bj ci D S C .bi  bj /.cj  ci /  S: Hence, the sum will be maximal when c1  c2      cn . Finally, observe that, for all indices i < j, we have bi  ci  cj . Suppose that, for some pair of indices i < j, we would have bj  ci . Change ci by bj , so that the new sum is S00 D S  bi ci  bj cj C bi bj C ci cj D S C .bi  cj /.bj  ci /  S: Therefore, we must have bi  ci  bj  cj whenever i < j. In general, we must have b 1  c1  b 2  c2      b n  cn ; so that the maximal sum is a1 a2 C a3 a4 C    C a2n1 a2n . 12. Adapt, to the present case, the idea of the proof of rearrangement’s inequality. 13. For item (a), it suffices to see that a.x C y  a/  xy D .ax  xy/ C a.y  a/ D x.y  a/ C a.y  a/ D .y  a/.a  x/  0; for y  a  x. In what concerns (b), we want to prove that, given an integer n > 1 and positive reals x1 ; : : : ; xn , one always has AM .x1 ; : : : ; xn /  GM .x1 ; : : : ; xn /;

564

B Hints and Solutions

where AM and GM denote the arithmetic and geometric means, respectively. To this end we can suppose, without loss of generality, that x1      xn , with x1 < xn . If a D AM .x1 ; : : : ; xn /, then x1 < a < xn . Similarly to the proof of item (a), we obtain a.x1 C xn  a/ > x1 xn , so that AM .x1 C xn  a; x2 ; : : : ; xn1 ; a/ D AM .x1 ; x2 ; : : : ; xn1 ; xn / and GM .x1 C xn  a; x2 ; : : : ; xn1 ; a/ > GM .x1 ; x2 ; : : : ; xn1 ; xn /: If the numbers x1 C xn  a; x2 ; : : : ; xn1 ; a are all equal, we will have AM .x1 C xn  a; x2 ; : : : ; xn1 ; a/ D GM .x1 C xn  a; x2 ; : : : ; xn1 ; a/ and, therefore AM .x1 ; x2 ; : : : ; xn1 ; a/ > GM .x1 ; x2 ; : : : ; xn1 ; a/: Otherwise, we order those n numbers as y1      yn , with y1 < yn . Since AM .y1 ; : : : ; yn / D a, it follows that y1 < a < yn . Now, changing y1 per y1 C yn  a and yn per a we obtain, as above, AM .y1 C yn  a; y2 ; : : : ; yn1 ; a/ D AM .y1 ; y2 ; : : : ; yn1 ; yn / and GM .y1 C yn  a; y2 ; : : : ; yn1 ; a/ > GM .y1 ; y2 ; : : : ; yn1 ; yn /: Among the numbers y1 C yn  a; y2 ; : : : ; yn1 ; a we now have at least two which are equal to a. If the numbers y1 C yn  a; y2 ; : : : ; yn1 ; a are all equal, we will have AM .y1 C yn  a; y2 ; : : : ; yn1 ; a/ D GM .y1 C yn  a; y2 ; : : : ; yn1 ; a/ and, hence, AM .y1 ; y2 ; : : : ; yn1 ; yn / D GM .y1 ; y2 ; : : : ; yn1 ; yn /: Otherwise, we operate a third exchange of numbers, as described above. Observe that this algorithm ends after a finite number of steps, and when we reach this point all numbers in our list will be equal to a. In particular, the corresponding arithmetic and geometric means of this las set of (n equal) numbers

B Hints and Solutions

565

will be equal. However, since each performed operation preserves arithmetic means and increases geometric means, it follows that, at the beginning, we had AM .x1 ; x2 ; : : : ; xn1 ; a/ > GM .x1 ; x2 ; : : : ; xn1 ; a/: 14. Make a proof by induction on n > 1. For the induction step, it suffices to prove that !     a2nC1 a2 a2n  1 C n .1 C anC1 / 1C 1C anC1 a1 a1 or, equivalently, that a2nC1 

1 1 a2 C a2n   anC1 C n : a1 anC1 a1

Finally, observe that such an inequality is true by an immediate application of the rearrangement’s inequality. 15. (By Prof. Emanuel Carneiro) Let’s make induction on n, leaving the initial case n D 3 as an exercise. More precisely, let’s show that, in order to maximize the left hand side expression, one of the xi ’s must be equal to 0, and that this allows us to invoke the induction hypothesis. To this end, let E.x1 ; x2 ; : : : ; xn1 ; xn / D x21 x2 C x22 x3 C x23 x4 C    C x2n x1 : and suppose that the expression attains its greatest value2 for some sequence .x1 ; x2 ; : : : ; xn / such that none of the xi ’s is equal to 0. Substituting xn1 by 0 and x1 by x1 C xn1 , we obtain a new expression, which is less than or equal to the original one, i.e., which is such that 0  E.x1 C xn1 ; x2 ; : : : ; 0; xn /  E.x1 ; x2 ; : : : ; xn1 ; xn / D 2x1 x2 xn1 C x2 x2n1 C xn1 x2n  x2n2 xn1  x2n1 xn : Upon dividing this last expression by xn1 , we get 2x1 x2 C x2 xn1 C x2n  x2n2  xn1 xn  0: Analogously, performing the exchange operations xi1 7! 0 and xiC1 7! xiC1 C xi1 ; Here, we’re tacitly assuming that there exists a sequence .x1 ; x2 ; : : : ; xn / such that x1 C x2 C    C xn D 1 and E.x1 ; x2 ; : : : ; xn / is maximal. Although this could be rigorously proved, such a proof is beyond the scope of these notes, so that we shall not present it here.

2

566

B Hints and Solutions

for 1  i  n (with x0 D xn and xnC1 D x1 ), we get the inequalities 2xiC1 xiC2 C xiC2 xi1 C x2i  x2i2  xi1 xi  0; for 1  i  n. Adding all of these, we arrive at the inequality n X

xi .xiC1 C xiC3 /  0;

iD1

which is an absurd. Therefore, if .x1 ; x2 ; : : : ; xn / maximizes E.x1 ; x2 ; : : : ; xn /, then at least one of the xi ’s must be equal to 0. Suppose, with no loss of generality, that xn D 0. Then, Emax D E.x1 ; x2 ; : : : ; xn1 ; 0/ D x21 x2 C x22 x3 C x23 x4 C    C x2n2 xn1  x21 x2 C x22 x3 C x23 x4 C    C x2n2 xn1 C x2n1 x1 

4 ; 27

where, in the last inequality, we applied the induction hypothesis. 17. Make i D baii , for 1  j  n, and conclude that b1 C   C bn  a1 C    C an , a1 .1  1/ C a2.2  1/ C   C an .n  1/  0: Then, apply Abel’s inequality to get n X

aj .j  1/  a1  min f1  1; 1 C 2  2; : : : ; 1 C    C n  ng:

jD1

Finally, use the condition given in the statement of the problem, together with the inequality between the arithmetic and geometric means to show that 1 C    C k  k, for 1  k  n.

Section 6.1 1. We must have x  1  0 and 3  x > 0, so that x 2 Œ1; 3/. q p p p p p 2. We must have x  0, 3  x  0, 32  3  x  0 and 12  32  3  x. The maximal domain of f is the set formed by the intersection of the solution sets of these inequalities.

B Hints and Solutions

567

    2 12 j 3. For item (a), just see that f .1/ D f 11 D j112 C1 D 0, f .10/ D f 10 D 2 1 2  24  j102 12 j j22 32 j 99 5 2 2 D 101 and f 36 D f 3 D 22 C32 D 13 . For item (b), if ja b j D 55 102 C12     and a2 C b2 D 73, then .a; b/ D .8; 3/ or .3; 8/, so that f 38 D f 83 D 55 . 73 If ja2  b2 j D 32 and a2 C b2 D 257, then 2a2 D 289 or 2a2 D 225 and, hence, a … N. However, setting a2  b2 D 32k and a2 C b2 D 257k, with k 2 N, we get 2a2 D 289k and 2b2 D 225k, so that k D 2 gives a D 17 and b D 15 (analogously, by b2  a2 D 32k, we obtain a D 15 and b D 17).  17letting   15  32 Therefore, f 17 D f 15 D 257 . Finally, if a2 b2 D 101k and a2 Cb2 D 89k, for some k 2 N, then a2 D 95k and b2 D 6k, so that .ab/2 D 570k2 ; if b2  a2 D 101k and a2 C b2 D 89k, we conclude, analogously, that .ab/2 D 570k2 . In any case we reach ap contradiction, for, .ab/2 > 0 > 570k2 . p 5. Start by making x D 1 and y D 2 in the given relation, to compute f .1C 2/. 6. One has to prove that f .akC1 / D f .ak / C f .r/, for every k  1. To this end, let x D ak and y D r, so that x C y D akC1 . 7. Adapt, to the present case, the hint given to the previous problem. 8. In the case of gf , notice that one has to shrink the common domain X of f and g, to avoid those x 2 X for which g.x/ D 0. 9. The image is the set Z of integers. 10. Start by showing that fxg 2 Œ0; 1/, for every x 2 R. Then, show that the image of fg is precisely the interval Œ0; 1/. 11. If an denotes the n-th natural number which is not a perfect square, then there exist positive integers s and t, such that 1  s  2t and an D t2 Cs; in particular, t2 is the greatest perfect square which is less than or equal to an . Since there are exactly an integers from 1 to an , exactly t of which are perfect squares (these being 12 , 22 , . . . , t2 ), it follows that an is the .an  t/-th non perfect square. Hence, n D an  t D t2 C s  t, so that r tD

nsC

1 1 C : 4 2

Now, since s > 0, we have r 2

an D t C s D n C t D n C

nsC

p 1 1 1 C n C n  2 . Therefore,   p p 1 1 nC nC  1 < an < n C n C ; 2 2 and, thus, an D bn C

p

n C 12 c.

568

B Hints and Solutions

12. For the first part of item (a), make x D y D 0; for the second, make y D x. For item (b), use (a). For item (c), consider initially the case of m 2 N, by induction; then, use (a) to get the case m < 0. Finally, apply the result of (c) to get (d) and the results of (c) and (d) to get (e).

Section 6.2 1. Show that it is equal to .0; C1/. 2. Start by recalling that x C 1x  2, for every real x > 0, with equality if and only if x D 1. Then, use this fact to conclude that the image is R n .2; 2/. 3. Let’s analyse the case in which f increases in .1; a \ I and decreases in Œa; C1/ \ I (the other case is completely analogous). For x0 2 I such that x0 < a, we have f .x0 / > f .a/, so that x0 is not a minimum point of f . Accordingly, for x0 2 I such that x0 > a, we have f .x0 / > f .a/ and, as before, x0 is not a minimum point of f . Hence, a is the only minimum point of f . 4. For y0 2 Y, take x0 2 X such that f .x0 / D y0 . Then, by the definition of the function f C c, we have .f C c/.x0 / D f .x0 / C c D y0 C c, so that y0 C c 2 Im .f C c/. Since y0 C c is a generic element of Y C c, it follows that Y C c  Im .f C c/. Now, if y1 2 Im .f C c/, then, by definition, there exists x1 2 X such that .f Cc/.x1 / D y1 or, which is the same, f .x1 /Cc D y1 . Then, f .x1 / D y1 c, and hence y1  c 2 Im .f / D Y. This way, y1 D .y1  c/ C c 2 Y C c and, since this is valid for every y1 2 Im .f C c/, we get Im .f C c/  Y C c. Therefore, Im .f C c/ D Y C c. 5. Adapt, to the present case, the hint given for the previous problem. 6. Let’s consider the case a > 0, the case a < 0 being totally analogous. For   b 2  4a2 D ay or, which is the y 2 R, we have f .x/ D y if and only if x C 2a same,   y 4ay C   b 2 D C 2 D : xC 2a a 4a 4a2   b 2  0, the last equation above has a solution if and only if 4ay C Since x C 2a    0. However, since a > 0, such a condition is equivalent to y   4a .  Hence, there exists x 2 R for which f .x/ D y if and only if y   4a , so that  Im .f / D Œ 4a ; C1/. 7. Use the canonical form f (see the statement of the previous problem) to get, in the case a > 0,

B Hints and Solutions

569

"

2

#

   b 2  2 0, fix n0 2 N such that n0 > 2 . Then, if A D fx 2 Œ0; 1I x D mn ; with m; n 2 N and n < n0 g, show that A is finite and use this fact to guarantee the existence of a partition P0 of Œ0; 1, such that the sum of the lengths of the intervals of P0 which contain some element of A is less than 2 . Finally, show that S.f I P0 / < .

Section 10.3 1. Let f .x/ D x sin.x/. If Pn D f0 D x0 < x1 <    < xn D 1g is a uniform partition, show that an D †.f I Pn I /, where  D .1 ; : : : ; n / is such that j D xj , for 1  j  n. Now, apply Riemann’s theorem. 2. More generally, let A D fx1 ; x2 ; x3 ; : : :g  P R be countably infinite. Given  > 0,   let Ij D xj  2jC2 for j  1 and note that j1 jIj j D 2 < . S 3. Given  > 0 and j  1, let I1j ; I2j ; : : : be open intervals such that Aj  i1 P S S Iij and  jI j < . Then, fI I i; j  1g is countably infinite, A  ij ij j i1 j1 i;j1 Iij 2iC1 P and i;j1 jIij j < 2 . 4. Let Df , Dg and Dfg be the sets of points of discontinuity of f , g and Dfg . Show that Dfg  Df [ Dg and, then, apply Lebesgue’s theorem, together with the result of the previous problem. 5. Let Q D f0 D y0 < y1 <    < yl D 1g be a partition of the codomain Œ0; 1 of f and, for 1  j < k, let Aj be the inverse imagem of Œyj1 ; yj /; let also Ak be the inverse image of Œyk1 ; yk . Show that Aj D ; for 1 < j < k and recall that, Rsince Ak D Q \ Œ0; 1, we have m.Ak / D 0. Then, use (10.23) to conclude that Œ0;1 fQ D 0. 6. Firstly, assume that f is increasing, and let Q D f0 D y0 < y1 <    < yl D Lg be a partition of Œ0; L. For 1  j < k, let Aj be the inverse image of Œyj1 ; yj /; let also Ak be the inverse image of Œyk1 ; yk . If xj D f 1 .yj / for 1  j  k, show

618

B Hints and Solutions

that Aj D Œxj1 ; xj / for 1  j < k, Rand Ak D Œxk1 ; xk . Then, if P D fa D x0 < x1 <    < xk D bg, show that Œa;b fQ D s.f I P/. Now, consider the case of a nondecreasing f , and observe that the case of a nonincreasing f is completely analogous. 7. Look at both integrals as the areas of regions under the graphs of f and f 1 , and recall that the graph of f 1 is symmetric to the graph of f with respect to the straight line y D x of the cartesian plane. Then, reflect the region under the graph of f 1 along this line and show that the union of the region under the graph of f to this reflected one contains a rectangle with sides a and b. 8. Start by showing that, given t 2 Œ0; 1, the fact that f is nondecreasing guarantees that A.Rf / is greater than or equal to the area of the rectangle of basis Œt; 1 and height f .t/, i.e., that Z

1

0

f .x/dx  .1  t/f .t/  f .t/  t:

Then, fix s 2 Œ0; 1 and let t D g.s/ in the above inequality to get f .g.s//  g.s/  R1 0 f .x/dx. Finally, use the fact that s 2 Œ0; 1 was chosen arbitrarily to conclude that Z

1 0

Z .f .g.s//  g.s//ds 

1 0

f .x/dx:

9. Let f W Œa; b ! R be a bounded function for which limjPj!0 †.f I PI / D I, with I not depending on the choice of the intermediate points  of P. In order to show that f is integrable, given  > 0 we need to find a partition P of Œa; b such that S.f I P/s.f I P/ < . To this end, start by taking P0 such that †.f I P0 I /Ij < 3 for every choice of intermediate points . If P D fa D x0 < x1 < : : : < xk D bg and j ; j 2 Œxj1 ; xj , show that k X

jf .j /  f .j /j.xj  xj1 /
0 in .xj1 ; xj / corresponds to summands for which f < 0 in .xj1 ; xj / corresponds to A.R f /. The hypothesis gives g1 .x/  f1 .x/ D g2 .x/  f2 .x/ for every x 2 Œa; b. Use Proposition 10.19, together with Problem 2, page 357, and Lemma 10.17. For item (a) and for j 2 ZC , let fj W Œj; j C 1 ! R be the restriction of the fractional part function to the interval Œj; j C 1. If P D f0 D x0 < x1 <    < xk D 1g is a partition of the interval Œ0; 1 and yj D xj C n for 0  j  k (so that Q D fn D y0 < y1 <    < yk D n C 1g is a partition of Œn; n C 1), show that s.f0 I P/ D s.fn I Q/ and S.f0 I P/ D S.fn I Q/. For item (b), use Proposition 10.19, together with Problem 4, page 358, and Lemma 10.17. First of all, show that it suffices to consider the case f D 0. In this case, if there exists x0 2 Œa; b such that g.x0 / > 0, use Lemma 8.20 to show that Rb a g.x/dx > 0. Rb Rb Rb Conclude first that  a jf .x/jdx  a f .x/dx  a jf .x/jdx. Then, finish the proof. Adapt, to this more general case, the approach to the case of f D g in Œa; b/, as presented in the text. For the first part, use the result of Problem 4, page 358, together with Proposition 10.21. For the second part, use the result of Proposition 10.13. If M > 0 is such that jf .x/j  M for every x 2 Œa; b, then ˇZ ˇ ˇ ˇ

b a

Z f .x/dx 

b aC

ˇ ˇZ aC ˇ Z b ˇ ˇ ˇ f .x/dxˇˇ D ˇˇ f .x/dx C f .x/dxˇˇ a b ˇZ aC ˇ ˇZ b ˇ ˇ ˇ ˇ ˇ  ˇˇ f .x/dxˇˇ C ˇˇ f .x/dxˇˇ a b Z aC Z b  jf .x/jdx C jf .x/jdx Z

a

Z

aC



b b

Mdx C a

Mdx D 2M: b

R R b b Therefore, lim!0 a f .x/dx  aC f .x/dx D 0. Rb 12. From a .f .x/  tg.x//2 dx  0 for every t 2 R, conclude that At2  2Bt C Rb Rb C  0 for every t 2 R, where A D a g.x/2 dx, B D a f .x/g.x/dx and C D Rb 2 2 a f .x/ dx. Then, note that  D 4.B  AC/  0. For the last part, use the result of Problem 6.

620

B Hints and Solutions

 .b/ .b a/ 13. First consider the case in which f is positive, and look at both f .a/Cf 2 Rb and a f .x/dx as the areas of certain regions in the cartesian plane. For the general case, note that changing f by f C c amounts to adding c to both sides of the inequality in the statement of the problem.

Section 10.5 1. For item (a), use that cos2 t D 12 .1 C cos.2t//; for (b), write cos t D 1  2 sin2 2t ; for item (c), integrate by parts. 2. For item (a), integrate by parts; for (b), integrate by parts twice. 3. For the first integral, if m ¤ n write sin.mx/ sin.nx/ D 12 .cos.mn/xcos.mC n/x/; if m D n, use the fact that sin2 nx D 12 .1  cos.2nx//. For the second integral, argue in an analogous way. 4. In both cases, use p (10.38). Additionally, for item (a) note that x 7! 23 x3=2 is a primitive for x 7! x in Œ0; C1/; for (b), note that x 7! tan x is a primitive for x 7! sec2 x in . 2 ; 2 /. 5. Start by taking a primitive F for f and computing the given integral with the aid of the FTC.R xCp 6. If F.x/ D x f .t/dt, use the result of the previous problem to show that F 0 vanishes identically. Rb 7. Let f .x/ D mx C n, compute a .mxn /dx with the aid of the FTC and, then, check that the result coincides with the ordinary formulas for the area of a right triangle (if f vanishes at x D a or x D b) or for the area of a right trapezoid (if f is positive in Œa; b). 8. Letting R y F be one such primitive and a < x < y < b, use the interpretation of x f .t/ dt  the monotonicity of f to compare the differences  as an area and

and F xCy  F.x/. Then, apply the result of Problems 8 F.y/  F xCy 2 2 and 9, page 338.  Rx P 9. Let f .x/ D .x C 1/n D nkD0 nk xk , x 2 R. Compute 0 f .t/dt in two different ways to get ! n X .x C 1/nC1  1 n xkC1 D : nC1 k kC1 kD0 Then, integrate both sides from 0 to 1 to get n X kD0

! 1 1 n 2nC2  .n C 2/  : D .k C 1/.k C 2/ k nC1 nC2

10. Apply Lagrange’s MVT to the primitive of f based at the point a.

B Hints and Solutions

621

11. First of all, use Corollary 10.33 to get Z

b

ˇxDb Z ˇ f .x/2 dx D xf .x/2 ˇ  xDa

a

b

2xf .x/f 0 .x/dx D 

a

Z

b

2xf .x/f 0 .x/dx:

a

Then, apply Cauchy inequality for integrals (cf. Problem 12, page 381) to x 7! xf .x/ and f 0 . 12. Firstly, use the computations in Example 10.29 to show that there exists a single f0 2 F of the form f0 .x/ DRA cos x C B sin x, with A; B 2 R. Then, expand the  integrand in the inequality 0 .f .x/  f0 .x//2 dx  0 to get the desired result. 13. Since 0  cos x  1 for x 2 Œ0; 2 , we have .cos x/nC1  .cos x/n for every integer n  0. Hence,

InC1 In

R =2

.cos x/nC1 dx R =2 .cos x/n dx 0

D

0

 1 for every n  0. On the

other hand, we saw in Example 10.35 that InC1 D n nC1 In1 n1 n In2

InC1 In

D D Hence, 1    I2k and I2k1 sequences II2k1 2k2 k1

n2 n2 1

k1



In1 In2



n nC1 In1

In1 In2 ,

for every n  1.

so that each one of the

is nondecreasing and bounded from above,

thus convergent. Letting `0 and `1 respectively denote their limits, we have  1 n I In n nC1 In1 D nC1 . `0 ; `1 > 0. Now, again by (a), observe that nC1 In D In In1

Therefore, letting n D 2k ! C1 we get `1 D `1 0 or, which is the same, InC1 `0 `1 D 1. However, since In  1, it easily follows that `0 ; `1  1. Thus, 1 D `0 `1  1  1 D 1,which gives us `0 D `1 D 1. Finally, since both  I2k In and converge to 1, we conclude that sequences II2k1 I I 2k2 2k1 n1 k1

also converges to 1.

k1

n1

Section 10.6 1. For item (a), use the substitution x D t  1, together with the fact that p1 t D  1=2 t1=2 D dtd t1=2 ; for (b), use the substitution x D sin t; for item (c), use the p substitution x D t. 2. For (a), make the substitution y D 1 C x3 ; for (b), integrate by parts and use the result of (a); for item (c), make the substitution x D sin t and, then, integrate by parts; finally, for (d), perform the substitution x D t2 and, then, integrate by parts. Ra R0 Ra 3. In both cases, write a f .x/dx D a f .x/dx C 0 f .x/dx and, for the first integral, perform the substitution x D t. 4. For the first integral, note that the sine function is odd and apply the result of the previous problem. For the second one, argue in a similar way. 5. Assume (without loss of generality) that O.0; 0/ is the center and A.a; 0/ and A0 .a; 0/ are the endpoints of the major axis of the ellipse. It’s a well known fact

622

B Hints and Solutions 2

2

that, in this setting, the equation of the ellipse is given by ax2 C by2 D 1. Letting q 2 f W Œa; a ! R be given by f .x/ D b 1  ax2 , show that the area of the ellipse Ra equals 2 a f .x/dx. Then, perform the trigonometric substitution x D a cos t, with 0  t  , and compute the integral. 6. Suppose that g is crescente (the case of a decreasing g in completely analogous). Let t1 < t2 <    < tk be the points of the interval Œg.c/; g.d/ in which f is discontinuous, and c  s1 < s2 <    < sk  d be such that g.sj / D tj for 1  j  k. Let fj W Œtj ; tjC1  ! R be such that fj D f in .tj ; tjC1 /, fj .tj / D limt!tj C f .t/ and fj .tjC1 / D limt!tjC1  f .t/, so that fj is continuous. Use Lemma 10.17, Rt Rs together with Theorem 10.37, to get tj jC1 f .t/dt D sj jC1 f .g.s//g0 .s/ds for R t1 Rs R g.d/ 1  j < k and, analogously, g.c/ f .t/dt D c 1 f .g.s//g0 .s/ds and tk f .t/dt D Rd 0 sk f .g.s//g .s/ds. Finally, add all such equalities to get the desired result. 7. First of all, note that f .a/ D a and f .b/ D b. Hence, integrating successively by substitution and parts, we get Z

b

f 1 .x/ dx D

a

Z Z

f .b/ f .a/ b

D

Z

f 1 .x/ dx D

b

f 1 .f .x//f 0 .x/ dx

a

ˇxDb Z ˇ xf .x/ dx D xf .x/ˇ 

b

0

xDa

a

Z

D bf .b/  af .a/  D b2  a2 

f .x/ dx a

b

f .x/ dx a

Z

b

f .x/ dx: a

8. Start   by observing that, since p has degree n, it is reciprocal if and only if for infinitely many nonzero real values of x (here we are using the p 1x D p.x/ xn fact—to be proved in [5]—that two real polynomial functions which assume the same values for every x 2 A, where A  R is infinite, are actually identical). Now, assume the equality of the statement holds for every x > 1. Then, differentiating both sides with the aid of Problem 5, page 391, gives   p.x/ p.1=x/  x12 , which is the same as p 1x D p.x/ D  .1=x/ n=2C1 xn for every x > 1. xn=2C1 Conversely, assuming p to be reciprocal, the variable substitution t 7! Z

x 1

Z

p.t/

t

dt D n=2C1 Z D

1=x 1 1 1=x

1 t

Z 1 p.1=t/  1 p.t/ n=21 t dt  dt D n .1=t/n=2C1 t2 1=x t

p.t/ : tn=2C1

gives

B Hints and Solutions

623

9. Since f 0 > 0, we conclude that f is increasing. Therefore, f .x/ > 1 for x > 1 and the FTC gives, also for x > 1, Z f .x/  1 D

x 0

1 dt < 2 t C f .t/2

Z

x 0

t2

  1 dt D arctan x  < : C1 4 4

Finally, since f is increasing and bounded above by 1 C 4 , we are done. 10. The change of variables formula gives, together with the semi-invariance of f over g, gives Z

g.2/ .x/

Z

g.x/

f .t/dt D

Z

0

g.x/

f .g.t//g .t/dt D

g.x/

x

f .t/dt: x

Therefore, if g.m/ D IdI , then Z

x

0 D

f .t/dt D x

D

kD0

m1 X Z g.x/ kD0

m1 X Z g.kC1/ .x/

x

g.k/ x

Z

f .t/dt

g.x/

f .t/dt D m

f .t/dt: x

Section 10.7 1. Since y D loga x , x D ay , we have loga x  log a D y log a D log ay D log x ; on the other hand, Theorem 9.28 furnishes log x and, then, loga x D log a 0 1 1 1 loga x D f 0 .y/ D ay log a D x log a . Now, item (a) follows from the first part a of (10.60), for, log e D 1. Item (b) follows from the second part of (10.60), 1 for, loga is increasing , log0a x > 0 for every x > 0 , x log a > 0 for every x > 0 , log a > 0 for every x > 0 , a > 1. Concerning (c) and (d), log xClog y log x log y we have loga .xy/ D log.xy/ D log log a D log a a C log a D loga x C loga y and log c log c log b D log  D logb c  loga b. Finally, (e) follows immediately loga c D log a b log a from (d). 2. Taking natural logarithms, conclude that it suffices to compare 1e and log  . To this end, study the first variation of f W .0; C1/ ! R given by f .x/ D logx x , showing that x D e is its only point of global maximum. 3. Taking natural logarithms, show that it suffices to find out the solutions a; b 2 N of the equation loga a D logb b . To do so, proceed as in the hint given to the previous problem. 4. Apply the formula of Corollary 10.33.

624

B Hints and Solutions

5. Let log.1 C x/ and show that f is increasing. Then, write f .x/ D  f .x/ D x  log.1Cx/ and use L’Hôpital’s rule to get limx!0C f .x/ D 0. x 1 x p 6. It suffices to observe that, since log is increasing and xCy xy for every 2   p log xClog y xCy , with equality if and only x; y > 0, we have log 2  log xy D 2 if x D y. 7. Since f 00 .x/ D ex C6ax, we wish to find all a < 0 such that ex C6ax has a single real root. Arguing geometrically, conclude that it suffices to find all a < 0 for which the straight line y D 6ax is tangent to the graph of x 7! ex . To this end, use the result of Problem 11, page 301 (with .a; b/ D .0; 0/), to conclude that, if ˇ d xˇ x0 x0 .x0 ; e / is the point of tangency, then e D 6ax0 and 6a D dx e ˇ D ex 0 . xDx0

8. Recall that x˛ D e˛ log x and apply the chain rule. 9. Adapt, to the present case, the hint given to the previous problem to get h0 .x/ D .f .x/g0 .x/ log f .x/ C f 0 .x/g.x//f .x/g.x/1 . a 10. Study the first variation of f to conclude that x D aCb is its only critical point. Then, use Weierstrass’ Theorem 8.26 to conclude that such a point is its only maximum point.p 11. Let a D b D 2 and analyse the possibilities ab rational and ab irrational, observing, in this last case, that .ab /b 2 Q. 12. The continuity of the natural logarithm guarantees that it suffices to show that  a lim x log 1 C Da x!C1 x or, which is the same (letting y D 1x ), that limy!0C log.1Cay/ D a. To this end, y use l’Hôpital’s rule.   x   x log xCa xa 13. Since xCa De , we wish all a 2 R such that limx!C1 x log xCa xa xa D  a 1C 1 or, which is the same, limx!C1 x log 1 ax D 1. Letting y D 1x , conclude x

 1Cay log 1ay

D 1. Finally, apply that we wish to find all a > 0 such that limy!0C y l’Hôpital’s rule. 14. Differentiate g.x/ D ex f .x/ and then apply Proposition 9.57. 15. For (b), withR the FTC. Finally, for item (c), we R use the result R of (a), together R 2 have sec3 t dt D sec t.1 C tan t/dt D sec t dt C .tan t  sec t/ tan t dt D R 0  log j sec t  tan tj C sec t  tan t dt D  log j sec t  tan tj C sec t  tan t  R sec t  tan0 t dt. d x 16. For the second part of (a) use the chain rule, together with the fact that dx e D p 00 ex Cex x x e . For item (b), use that cosh x D cosh x > 0, cosh x D 2  e  ex D 1 and limx!C1 cosh x D C1. For (c), show that sinh0 x D cosh x > 0 and sinh00 x D sinh x, with sinh x > 0 if and only if x > 0. In item (d), you should get something similar to Fig. B.8. For item (e), letting k.x0 / denote the curvature we wish to compute and f .x/ D cosh x, conclude from Problem 3, page 344, cosh x0 1 that k.x0 / D .1Csinh 2 x /3=2 D cosh2 x . 0

0

B Hints and Solutions

625

Fig. B.8 Graphs of the hyperbolic sine and cosine

y

cosh x

1 x 2e

1 −x 2e

x

sinh x

p 17. Since x2  y2 D 1 , y D ˙ x2  1, we have Z A D 0

1

Z .tanh t/x dx C

cosh t 1

..tanh t/x 

p x2  1/dx

Z tp 1 1 D tanh t C .tanh t/  .cosh2 t  1/  cosh2 s  1 sinh s ds 2 2 0 Z 1 1 t t D sinh t  cosh t  .cosh.2s/  1/ds D : 2 2 0 2 y 18. Write x log x D  log , with y D 1x . Then, adapt the proof of Theorem 10.51 to y

the present case to conclude that limy!C1 19. Rework the proof of Theorem 10.55 to get 

log y y

D 0.

 X 1 1  log n D  log 1 C k k k kn

n X 1 kD1


0, by Problem 8, page 242. Now, write  x f .x/ D log xC1=2  log 1 C 1x C 1 to get limx!C1 f .x/ D 0, and conclude xC1 that it suffices to show that f 0 .x/ < 0 for x  1. For what is left to do, compute

626

B Hints and Solutions

 x  00 1 , f .x/ D f 0 .x/ D xC1=2 C log xC1 increasing, with limx!C1 f 0 .x/ D 0. 21. Apply Stirling’s formula. 22. Use Stirling’s formula to get

1 x2 Cx



1 x2 CxC1=4

and conclude that f 0 is

! r  1 kn .k C 1/n 1 kC1 .k C 1/n 1 C  p : k k n 2n Then, note that k > ˛n ) k ! C1 as n ! C1.

Section 10.8 1. Note that a D 2 and a D 4 are two roots. To show that there are exactly three real roots, start by sketching the graphs of x 7! x2 and x 7! 2x ; then, use the IVT to show that there exists x0 2 .2; 0/ such that x20 D 2x0 . Finally, assume that x0 is rational and derivea contradiction. p  2. Firstly, note that f .x/ D log x C x2 C 1 is increasing in R, so that the given system of equations can be written as g.x/ D y; g.y/ D z; and g.z/ D x: Assume, without any loss of generality, that x D maxfx; y; zg. Then, successively conclude that f .x/ D maxff .x/; f .y/; f .z/g, y  z; x and py D x. Arguing in an analogous way, show that x D y D z and solve log.x C x2 C 1/ D 0. 3. By the sake of contradiction, differentiate the equality p.x/ D log x and, then, use the results of Example 9.17. 4. Let k 2 ZC be such that 10k  n < 10kC1 and conclude that k D blog10 nc. 5. We want that : : :… 0/10  nk  .a1 a2 : : : am 99 : : :… 9/10 : .a1 a2 : : : am 00 „ ƒ‚ „ ƒ‚ l

l

for some n; l 2 N. This is the same as 10l p  nk < 10l .p C 1/, where p D .a1 a2 : : : am /10 . Take l D kq and show that, in this case, the last condition above p is equivalent to the existence of a natural p number n such that p p n 2 Œ10q k p; 10q k p C 1/, for whichpit suffices to have 10q . k p C 1  k p/ > 1 p or, which is the same, q >  log10 . k p C 1  k p/. 6. Start by showing the validity of the inequalities loga .loga b/ > logc .loga b/ and logb .logc a/ > logc .logc a/. Then, apply item (e) of Problem 1, page 411. 7. Use the given functional equation to show that, if a0 D 0, b0 D 0, anC1 D 2an C 1 and bnC1 D 3bn C 5, then f .an / D bn for every n  0. Then, use the material of Sect. 3.2 to conclude that f .2n  1/ D 52 .3n  1/ for every n  0. Finally, solve for n the equation 2n  1 D x.

B Hints and Solutions

627

8. Start by showing that f .0/ D 0, 1 or 2. In the first two cases, show that f is constant. In the third case, show that f .m/ D 2m whenever m is a power of 2. Then, take n < m and suppose that f .m/ D f .n/; use induction to show that k k f .m2 / D f .n2 / and, to reach a contradiction, choose a; b; c 2 N such that log2 n < 2bc < 2ac < log2 m. 9. Initially, use the formula of integration by parts to get Z

1

n 0

xn dx D n xn C a Z D

Z

1

x

0 1

nxn1 dx xn C a

d log.xn C a/dx dx 0 Z 1 D log.a C 1/  log.xn C a/dx: x

0

Now, observe that Z

1

log a 

log.xn C a/dx

0

   n x C1 dx log a C log D a 0 Z 1 n x dx:  log a C 0 a Z

10. 11. 12. 13.

1

Finally, take together the two computations above to compute the desired limit. Use the power means inequality. Apply Jensen’s inequality to the natural logarithm, as in Example 10.61. Apply Jensen’s inequality to f .x/ D x log x, x > 0. 1x Apply Jensen’s inequality to f .x/ D log 1Cx , 0 < x < 1.

14. Apply Jensen’s inequality to f .x/ D log sinx x , x 2 .0; /. 15. If ai D exi , with xi  0, show that f .x/ D apply Jensen’s inequality. 16. Start by writing the given inequality as n Y iD1

1 , ex C1

x  0, is strictly convex and

ai 1 s ;  nC1  1  ai n 1s

where s D a1 C a2 C    C an . Then, rewrite the inequality as n X iD1

 log

ai 1  ai

  .n C 1/ log n C log

 s : 1s

628

B Hints and Solutions

If ai < 12 for 1  i  n, apply Jensen’s inequality to f .x/ D log 1 2 ; subsequently, show that n log 17. Let S D

Pn

iD1 .ai

x 1x



,0 0 such that of the sums above.

1 q

D1

1 k

and apply Hölder’s inequality to each

Section 10.9 1. For item (a), use the result of item (b) of Problem 15, page 412. For (b), apply the comparison test for improper integrals, together with the fact that jet sin tj  et for every t 2 R. For item (c), note that log1 t ! 0 when t ! 0C and apply the comparison test when t ! 1. Finally, item (d) follows from the 1 fact that arctan is a primitive for 1Ct 2. R g.x/ 2. Apply Theorem 10.37 to compute g.B/ f .t/ dt for x > B. Then, let x ! C1. 3. Adapt, to the present case, the argument of Example 10.70. Alternatively, apply the change of variables theorem for improper integrals (previous problem) with the variable substitution t 7! 1t , that maps .0; 1 bijectively to Œ1; C1/. 4. For a >  2 , the change of variables formula, together with the formula for integration by parts, gives Z

a 2

2

Z

cos.x /dx D

p

a

t1=2 cos t dt



ˇpa 1 Z pa ˇ Dt sin tˇ C t3=2 sin t dt  2  p Z pa 1 sin t sin a C dt: D p 4 a 2  t3=2 1=2

R C1 sin t Now, argue as in Example 10.75 to show that  dt converges. t3=2 5. For the convergence of the integrals, note first that (cf. Problem 4, page 325) p 3 sin x  x  x6 for x  0. Then, for 0 < x < 6,

B Hints and Solutions

629

  x2 x3 D log x C log 1  : 0  log.sin x/  log x  6 6  R R 2 Since both integrals 0 log x dx and 0 log 1  x6 dx converge, the same is  p R 3 true of 0 log x  x6 dx. Given 0 < ˛ < ˇ < 6, it follows from the above inequalities that ˇZ ˇ ˇ

ˇ

˛

ˇ ˇZ ˇ ˇ log.sin x/dxˇ  ˇ

ˇ ˛

 x3 ˇˇ dxˇ: log x  6

R

Therefore, 0 log.sin x/dx converges. Now, use the change of variables formula to show that Z  Z  log.sin x/dx D log j cos xjdx; 0

0

R R so that 0 log j cos xjdx also converges. Finally, let I D 0 log.sin x/dx and using the change of variables formula again, we compute Z 2I D 2

0

Z D2

2

0



Z log j sin xjdx D 2



log j sin.2y/jdy

0

  log 2 sin yj cos yj dy

D 2 log 2 C 2I C 2

Z



log j cos yjdy:

0

R Then, 0 log j cos yjdy D  log 2. 6. Apply the integral test to each of the functions x 7! .log1x/˛ , x 7! x.log1 x/˛ and 1 . x.log x/.log log x/˛ p 7. First recall that, pfor some A > 1, we have log t < t for t > A. Therefore, p R C1 log t < 1Ctt2 < t2t D t3=2 for t > A, and A t3=2 dt converges. Now, take 1Ct2 x > 1 and use the result of Problem 5, page 391, well as Corollary 9.47, to R x aslog t show that f W .0; C1/ ! R, given by f .x/ D 1=x 1Ct 2 dt, is constant. Deduce R x log t R 1=A log t that 1=x 1Ct2 dt D 0 and, then, that 0 1Ct2 dt converges. Finally, compute R C1 log t dt D 0. 0 1Ct2 8. For item (a), apply Young’s inequality (cf. Proposition 10.62) to a D f .t/ and b D g.t/ and then integrate the result on I. For (b), start by observing that we Rˇ Rˇ can assume that ˛ f .t/p dt > 0 and ˛ g.t/q dt > 0. Then, let f1 D f =A and R 1=p R 1=q ˇ ˇ g1 D g=B, where A D ˛ f .t/p dt and B D ˛ g.t/q dt . Finally, show R Rˇ ˇ that ˛ f1 .t/p dt D ˛ g1 .t/q dt D 1 and apply the result of item (a).

630

B Hints and Solutions

1 9. For item (a), on the one hand we have f 0 .x/ D  x12  xC1 C 1x D  x12  1 f is indeed decreasing; on the other, limx!C1 f .x/ D x.xC1/ < 0, so that   limx!C1 1x  log 1 C 1x D  log 1 D 0. For (b), given x > 1 and using the result of Problem 4, page 412, together with Theorem 10.53, we get

Z

x 1

f .t/dt D

Z x 1

 1  log.t C 1/ C log t dt t

ˇtDx ˇtDx ˇ ˇ D log tˇ  ..t C 1/ log.t C 1/  .t C 1//ˇ tD1 tD1 ˇtDx ˇ C .t log t  t/ˇ tD1     1 x 1  log 1 C D  log 1 C C 2 log 2 C 1 x x x!C1

!  log 1  log e C 2 log 2 C 1 D 2 log 2:

10. For item (a) adapt, to the present case, the proof of the integral test. 11. For item (a), argue geometrically to show that if 2l 6 < n < nC1 < 2lC 6 , , and if 2l C 5 < n < n C 1 < 2l C 7 , then 2l C 6 < n C 2 < 2l C 5 6 6 6 7 11 then 2l C 6 < n C 2 < 2l C 6 . For item (b), use (a) to conclude that j sin nj n

C j sin.nC1/j C j sin.nC2j  nC1 nC2

1 2.nC2/ .

Then, use the divergence of the harmonic

series to show what is asked. Finally, for item (c), for each k 2 N show that  ˇ ˇ R R .kC1/ ˇ sin t ˇ 1=2 6 ˇ sin t ˇ ˇ ˇ dt  .kC1/ dt  .kC1/  2 . Then, conclude what is k t kC 6 t 6 asked again from the divergence of the harmonic series. (Why can’t one use the integral test?) 12. For item (a), study the first variation of f .x/ D .1  x/e2x in the interval Œ0; 12 . For (b), use the Fundamental Theorem of Arithmetic (cf. introduction to Chap. 1). Item (c) follows from items (a) and (b), together with the fact that 1  1 C p1k C p12 C    D 1  p1k . Finally, for item (d) use the divergence of the k harmonic series.

Section 10.10 p 1. Setting f .x/ D cosh x in (10.71), we haveˇ 1 C f 0 .x/2 D cosh x, so that the Rx ˇxDx0 desired length equals 0 0 cosh x dx D sinh xˇ D sinh x0 . xD0 2. Item (a) follows immediately from (10.71). For item (b), use the fact that a2 D b2 C c2 , together with the fundamental relation of Trigonometry to write

B Hints and Solutions

1C

631

b2 cos2 t b 2 x2 a2 sin2 t C b2 cos2 t D 1 C D a2 .a2  x2 / a2 sin2 t a2 sin2 t 2     c 2 b b2 C c2 sin2 t 2 D 1 C sin t : D a sin t b a2 sin2 t

3. For item (a), observe (cf. Fig. 10.12) that after has rolled to the right by t radians starting from O, the point of tangency between and r will be T.t; 0/ and the center of will be A.t; 1/. On the other hand, angle †TOP, measured in the counterclockwise sense, will be equal to t radians. Since Bb AP D 3  t (in 2 the counterclockwise sense), it’s immediate that 

   3 3 x.t/ D t C cos  t D t  sin t; y.t/ D 1 C sin  t D 1  cos t: 2 2 For (b), first note that Z 0

2

Z p 1 C f 0 .x/2 dx D Z

2

Z p 1 C f 0 .x.t//2 x0 .t/dt D

2

p p Z 0 2 0 2 x .t/ C y .t/ dt D 2

0

D 0

s

2

1C

0

p

2

0

y0 .t/2 0 x .t/dt x0 .t/2

1  cos t dt:

For the computation of the last integral, see item (b) of Problem 1, page 397. R C1 4. By definition, we have . 21 / D 0 et t1=2 dt. Now, perform the substitution of variable s D t1=2 and apply the result of Problem 2, page 435. 5. We start by using the result of Problem 18, page 413, to conclude that there exists x A > 0 such that t 2 j log tj  A for 0 < t  1. Then, observe that Z

1

et tx1 j log tj dt D

0

Z

1 0

x

x

et t 2 1  t 2 j log tj dt < A

Z

1

x

et t 2 1 dt:

0

Now, use the fact that log t < t for t  1 to write Z

C1

et tx1 j log tj dt D

1

Z

C1 1

et tx1 log t dt
0 for every x 2 J. For a fixed x 2 J n fx0 g, (11.1) guarantees .n/ the existence of a real c between x0 and x such that f .x/ D f .x0 / C f nŠ.c/ .x  x0 /n . Conclude that p f .x/ > f .x0 /. sin2 t/ . Now, 3. If f .t/ D 1 C  sin2 t for 0  t  , then f 00 .t/ D .1.C2/ .1C sin2 t/3=2 look at (10.74) and substitute the formula for f in both sides of the inequality of Example 11.2, noticing that jf 00 .t/j  . C 1/ for 0  t  . 4. The Taylor series of the exponential function, together with the definition of P P k 1 xk D j1 .2j1/Š x2j1 . sinh x, furnishes sinh x D 12 .ex  ex / D 12 k0 1.1/ kŠ Argue analogously to cosh x. 5. Apply the result of Proposition 11.3, with n C 1 in place of n. 6. Let p.x/ D am xm C am1 xm1 C    C a1 x C a0 and assume am > 0 (the other case can be dealt with in an analogous way). By Example 9.17, we can take A > 0 such that p.x/ > 0 for x > A. Then, for x > A, apply (11.6) with n D m C 1 to get the desired result. 7. For item (a), since f .ˇ/; f 0 .ˇ/ > 0, we clearly have  < ˇ; now, use the result of Problem 1 to conclude that f . /  0, and hence   ˛. For (b), use the result of (a) to show that .an /n1 is decreasing and such that an 2 Œ˛; a1  for n  1, so that there exists ` 2 Œ˛; a1  satisfying an ! ` as n ! C1; then, let n ! C1 in the recurrence relation defining .an /n1 to get ` D ˛. For (i), use (11.2) to get f .˛/ D f .an / C f 0 .an /.˛  an / C 12 f 00 .n /.˛  an /2 for some n 2 .˛; an /. For the equality in (ii), use again the recurrence relation of .an /n1 ; for the inequality, use the fact that f 0 is increasing. Finally, for the first part of item (iii), use the result of (ii); for the second part, make induction on n, noting that 0  an  ˛  d  c. 00 8. Verify that f 0 ; f 00 > 0 in Œ2; 52  and maxŒ2; 5  2ff 0 D 35 . In the notations of item 2

(iii) of the previous problem, conclude that we can let c D 2 and d D 52 to get  n 2a3 C5 0  an ˛  35  212n for every n  1, where a1 D 52 and anC1 D 3an2 2 . Finally, n  4 note that 35  124 < 105 . 2

B Hints and Solutions

633

Section 11.2 jxj n 1 1. We saw in Example 11.11 that . 1Cx 2 /  2n for every x 2 R. Hence, letting P Mk D 21k and noting that k1 Mk < C1, it follows from Weierstrass M-test P x k that k1 . 1Cx 2 / converges uniformly in R. Now, Proposition 7.38 gives

X k1

x 1 C x2

k D

1

x 1Cx2 x  1Cx 2

D

x : x2  x C 1

2. In all cases we shall use Weierstrass For the Taylor series of the ˇ 1 k ˇ M-test. ak ˇ ˇ exponential function, we have kŠ x  kŠ if jxj  a. Therefore, letting P P k ak a Mk D akŠ for k  0, we have k0 Mk D k0 kŠ D e < C1, and the M-test guarantees the uniform convergence ofˇ the series in the interval Œa; a. ˇ ˇ .1/j1 2j1 ˇ a2j1 For the sine function, we have ˇ .2j1/Š x if jxj  a. Letting ˇ  .2j1/Š P a2j1 M2j D 0 for j  0 and M2j1 D .2j1/Š for j  1, we get k0 Mk D P P a2j1 j1 M2j1 D j1 .2j1/Š D sinh a < C1. Again, the M-test assures the uniform convergence of the Taylor series in the interval Œa; a. Finally, for the Taylor series of the cosine function a similar argument is valid. 3. For the non uniform character of the convergence, show that the maximum R1 value of fn is e1 , regardless of the chosen n. In order to compute 0 fn .x/ dx, integrate by parts. n 4. For item (a), note that xn ! 0 for 0 < x < 1. For (b), integrate by parts to get R R1 R1 1 e1 C n 0 fn1 .x/ dx for every n 2 N; then, write 0 fn .x/ dx D 0 fn .x/ dx D R1 an bn e1 , 0 fn1 .x/ dx D an1 bn1 e1 and use the fact that e1 is irrational. For item (c), make induction on n, using P the recurrence relations found in (b). Finally, for (d), use the fact that e D k0 kŠ1 . 5. First show that the definition of uniform convergence guarantees the existence of C > 0 and n0 2 N such that n  n0 ) jfn0 .x/j  C for every x 2 Œa; b. Then, conclude that jf .x/j  C for every x 2 I, so that f is bounded. To show that f is integrable let  > 0 be given and choose n0 2 N such that n  n0 implies jfn .x/f .x/j <  for every x 2 I. Fix such an n and invoke Theorem 10.4 to choose a partition Pn D fa D x0 < x1 <    < xk D bg of the interval Œa; b such that S.fn I Pn /  s.fn I Pn / < . Noting that mj .fn /  fn .x/  Mj .fn / for x 2 Œxj1 ; xj , conclude successively that mj .fn /   < f .x/ < Mj .fn / C  for x 2 Œxj1 ; xj , mj .fn /    mj .f /  Mj .f /  Mj .fn / C  for 1  j  k and Rb Rb S.f I Pn /  s.f I Pn / < .1 C 2.b  a//. Finally, let In D a fn .x/dx, I D a f .x/dx and show that computations analogous to the ones above furnish In  I < .1 C .b  a// and In  I > .1 C .b  a//, so that jIn  Ij  .1 C .b  a//. Alternatively, letSDn be the set of points of discontinuities of fn and D that of f . Show that D  n1 Dn and apply the result of Problem 3, page 367, together with Lebesgue’s Theorem 10.10, to show that f is integrable. Then, argue as in Rb Rb the proof of Theorem 11.14 to show that a f .x/dx D limn!C1 a fn .x/dx.

634

B Hints and Solutions

6. Start by using Lagrange’s MVT to get jfk .x/j  jfk .x/  fk .x0 j C jfk .x0 /j  0 Mk jx  x0 j C jfk .x0 /j  Mk .b  a/ C jfk.x0 /j. Then, P apply the M-test with Mk D Mk .b  a/ C jfk .x0 /j in place of Mk to show that k1 fk converges P uniformly in Œa; b to a function f W Œa; b ! R. The M-test also shows that k1 fk0 converges 0 uniformly in Œa; b to a function g W Œa; b ! R,ˇ and we claim that ˇ f D g. To ˇ f .x/f .x0 / ˇ this end, let x0 ; x 2 Œa; b, with x ¤ x0 , and S D ˇ xx0  g.x0 /ˇ. With the aid of Corollary 11.19, write ˇ X f .x/  f .x / ˇ ˇ 1 XZ x ˇ k k 0 ˇ ˇ ˇ ˇ S Dˇ  g.x0 /ˇ D ˇ fk0 .t/dt  g.x0 /ˇ x  x x  x 0 0 k1 x0 k1 ˇ 1 Z xX ˇ ˇ 1 Z x  ˇˇ ˇ ˇ ˇ Dˇ g.t/  g.x0 / dtˇ fk0 .t/dt  g.x0 /ˇ D ˇ x  x0 x0 k1 x  x0 x 0 Z ˇ ˇˇ 1 ˇˇ x ˇˇ  g.t/  g.x0 /ˇdtˇ: ˇ jx  x0 j x0 Now, use the continuity of g to show that this last expression can be made less than , provided x 2 Œa; b is chosen to be sufficiently close to x0 . Rb 7. Use the given condition to conclude that a f .x/p.x/dx D 0 for every real polynomial p. Then, use Weierstrass approximation theorem to find a sequence n .pn /n1 of polynomials such that pn ! f uniformly on Œa; b. Finally, conclude Rb from this fact that a f .x/2 dx D 0. R1 8. If such an f did exist, we would have R 0 f .x/p.x/dx D p0 .0/, for every x polynomial function p. Now, if F.x/ D 0 f .t/dt, then F 0 D f and F.0/ D R1 F.1/ D 0. Integrating by parts, we get 0 F.x/p0 .x/dx D p0 .0/, which is the R1 same as 0 F.x/q.x/dx D q.0/, for every polynomial function q. Then, follow the hint given to the previous problem to get Z

1

F.x/2 dx D lim

Z

n!C1 0

0

1

F.x/qn .x/dx D  lim qn .0/ D F.0/ D 0; n!C1

so that F, and hence f , vanishes identically. But this contradicts the fact that R1 0 f .x/xdx D 1. 9. Given  > 0, use Weierstrass approximation theorem to choose a polynomial p R1 so that jf .x/p.x/j <  for every x 2 Œ0; 1. Note that limn!C1 0 p.x/'n .x/dx does exist does exist and estimate ˇZ ˇ ˇ

1 0

Z f 'm 

1 0

ˇ Z ˇ f 'n ˇ 

1 0

ˇZ ˇ .'m C 'n / C ˇ

1 0

Z p'm 

1 0

ˇ ˇ p'n ˇ:

R1 R1 Now, use the fact that n 7! 0 'n and n 7! 0 p'n converge, together with R1 the computations above, to show that n 7! 0 f 'n is a Cauchy sequence.

B Hints and Solutions

635

10. For item (a) and for x 2 .0; 2/, use the result of item (a) of Problem 10, page 359, to get  n sin .nC1/x sin .n1/x X 2 2 sin.kx/ D : x sin 2 kD1

11.

12.

13.

14.

ˇP ˇ Then, conclude that ˇ nkD1 sin.kx/ˇ  sin1 x and apply Abel’s criterion. For item 2 (b), note that for 0 < ı <  and x 2 Œı; 2  ı, one has j sin 2x j  sin ı. For the first parts of items (a) and (b), integrate by parts. For the second part of (a), use the triangle inequality for integrals to get jak .f /j; jbk .f /j  R 2 1 jf .x/jdx for every k  1. For the second part of (b), use again the 2 0 triangle inequality for integrals, together with the M-test. Finally, for item (c) use Corollary 11.19, together with Problem 3, page 390. If ak .f / and bk .f / are as in the statement of the previous problem, compute k 2 and the integrals that define such numbers to get a0 .f / D 23 , ak D 4.1/ k2 bk D 0 for every k 2 N. Then, use Fourier convergence theorem to write P f .x/ D a02.f / C k1 ak .f / cos.kx/. Finally, compute f ./ D  2 with the aid of such a series. Again in the notations of Problem 11, compute the appropriate integrals to find 2 a0 .f / D 1, an .f / D 0 for n  1, b2k .f / D 0 for k  1 and b2k1 .f / D .2k1/  for k  1. Then, evaluate the Fourier series of f at 2 , with the aid of Fourier’s convergence theorem. For item (a), apply the change of variables formula to g, followed by Riemann’s Theorem 10.7. For (b), write Z

p 0

f .x/g.nx/dx D

n Z X kD1

kp n .k1/p n

f .x/g.nx/dx:

Then, given  > 0, use the uniform continuity of f to find n0 2 N such that, for n > n0 , ˇ ˇ n Z kp Z p ˇ ˇX n   kp  ˇ ˇ f .x/  f g.nx/dxˇ   jg.nx/jdx  p max jgj : ˇ .k1/p ˇ ˇ Œ0;p n 0 n kD1

R 2 15. First of all, it follows from Problem 6, page 391, that ak .f / D 1 0 f .x/ cos .kx/dx. Then, use the result of the previous problem. For bk .f /, argue in a similar way. 16. Since ak .f / D ak .g/ and bk .f / D bk .g/ for every k, we have Sk f D Sk g for every k, so that 1 X 1 X

n f D Sk f .x/ D Sk g.x/ D n g n C 1 kD0 n C 1 kD0 n

n

n

n

for every n 2 N. Now, Fejér’s theorem guarantees that n f ! f and n g ! g (even) uniformly on R, so that n f D n g implies f D g.

636

B Hints and Solutions

17. We are going  x  to show that f is a constant function. To this end, first note that if , then g is continuous and periodic of period 2, and f is constant g.x/ D f 2 p if and only if g is so. Note also that g.x/ D g.x C 2 2/ for every x 2 R. Now,  P let a20 C k1 ak cos.kx/ C bk sin.kx/ be the Fourier series of g. Using the change of variables formula, together with the result of Problem 6, page 391, to get, for k  1, Z ak D

Z g.x/ cos.kx/dx D



Z D Z D Z D



2

p

2    

 

2

p

2

p g.x C 2 2/ cos.kx/dx

p   g.x/ cos k.x  2 2/ dx

p   g.x/ cos k.x  2 2/ dx p p   g.x/ cos.kx/ cos.2k 2/ C sin.kx/ sin.2k 2/ dx

p p D ak cos.2k 2/ C bk sin.2k 2/: p p Analogously, show that bk D bk cos.2k 2/  ak sin.2k 2/, and solve the linear system in ak and bk thus obtained to get ak D bk D 0 for every k  1. Finally, use the result of the previous problem to show that g is constant. @f @f 18. Since f .xn ; t/ ! f .x ˇ 0 ; t/ andˇ @x .xn ; t/ ! @x .x0 ; t/ as n ! C1, we have ˇ ˇ jf .x0 ; t/j  g.t/ and ˇ @f @x .x0 ; t/ˇ  G.t/ for every t 2 J. Then, the integrabilities .x; t/ (for each x0 2 I) follow from the comparison test of t 7! f .x; t/ and t 7! @f @x for improper integrals (Proposition 10.73). For the rest of item (a), fix x0 2 I and let .xn /n1 be a sequence of points in I, converging to x0 . Let gn .t/ D f .xn ; t/ and g0 .t/ D f .x0 ; t/, so that g0 is the pointwise limit of gn . Apply Lebesgue’s DCT to the gn ’s and g0 to show that F.xn / ! F.x0 / as n ! C1. For the rest of (b), first note that if F 0 exists and is given by the right hand side of (11.18), then item (a) (applied to @f , instead of f ) guarantees that F 0 is continuous. Now, let @x .xn /n1 be a sequence of points in I n fx0 g, converging to x0 . Lagrange’s MVT assures the existence of n between xn and x0 such that F.xn /  F.x0 / D xn  x0

Z

ˇ ˛

f .xn ; t/  f .x0 ; t/ dt D xn  x0

Z

ˇ ˛

@f .n ; t/dt: @x

@f Let Gn .t/ D @f @x .n ; t/, G0 .t/ D @x .x0 ; t/, so that G0 is the pointwise limit of Gn . Apply Lebesgue’s DCT to the Gn ’s and G0 to show that

F.xn /  F.x0 / n ! xn  x0

Z

ˇ ˛

@f .x0 ; t/dt: @x

B Hints and Solutions

637

18. Use the result of the previous problem, together with Problem 5, page 445. You may wish to use the following facts: if .xn /n1 is a sequence of positive reals that converges to the positive real x0 , then .xn /n1 is bounded; in turn, show that this guarantees the existence of integrable functions g0 ; G0 W .0; 1 ! R and g1 ; G1 W Œ1; C1/ ! R such that et txn 1  g0 .t/ and et txn 1 log t  G0 .t/ in .0; 1, whereas et txn 1  g1 .t/ and et txn 1 log t  G1 .t/ in Œ1; C1/.

Section 11.3 1. For items (a) and (b), use the result of Corollary 11.24. For item (c), note that the radius of convergence of the series is at most 1,P since it doesn’t converge k when x D 1. Then, note that for jxj < 1 we have k0 x2 < C1, so that P k 2k k0 .1/ x is absolutely convergent. P P k 2. For jxj < 1, note that k0 kŠ1 x2 < k0 kŠ1 < C1. On the other hand, for jxj D a > 1 and sufficiently large k, 2

2

a2 ak ak x2 D > > k D kŠ kŠ kŠ k k

3.

4. 5.

6.

k



ak k

k

k

! C1I

hence, the general term of the series doesn’t go to 0 as k increases, and the series diverges. Therefore, its radius of convergence is 1. P P k1 k x2k1 and g.x/ D k0 .1/ x2k , then f and g are defined If f .x/ D k1 .1/ .2k1/Š .2k/Š in the whole real line, and Theorem 11.27 gives f 0 .x/ D g.x/ and g0 .x/ D f .x/. However, since f .0/ D 0 and g.0/ D 1, it follows from Example 9.48 that f .x/ D sin x and g.x/ D cos x. P 1 Apply Theorem 11.27 k  1 times, starting from 1x D n0 xn . Alternatively, expand .1  x/k with the aid of the binomial theorem. Expand .1  x2 /1=2 in a power series with the aid of the binomial theorem. Then, use item (b) of Proposition 11.26, together with the result of Problem 4, page 300.   D log.1 C x/  log.1  x/ and apply the For item (a), observe that log 1Cx 1x result of Example 11.30. For item (c), we have 1Cx D 3 for x D 12 . Substituting 1x 1 1 1 x D 2 in the formula of item (a), note that 2 C 23 3 C 2515 C 2717 C 2919 C 211111 give 12 log 3 with four correct decimal places, since 1 1 1 1 C 15 C 17 C < 213  13 2  15 2  17 13 D



1 1 1 C 15 C 17 C    213 2 2



1 1 1 D : < 11 3  13  2 30  2000 60000

638

B Hints and Solutions

7. For item (a), adapt the idea of the proof of Abel’s identity (5.19). More precisely, noting that ak D rk  rkC1 , we have m X

a k xk D

kDn

m X

a k R k yk D

m X

kDn

D

m X

.rk  rkC1 /yk

kDn

rk yk 

kDn

D rn yn C

m X

rkC1 yk D

kDn m X

m X

rk yk 

kDn

rk yk 

kDnC1

m X

mC1 X

rk yk1

kDnC1

rk yk1  rmC1 ym

kDnC1

m X     D rn yn  rmC1 ym C rk yk  yk1 : kDnC1

For item (b), since jyj  1 we get m m ˇX ˇ X ˇ ˇ ˇ kˇ  jr a x j C jr j C jrk jˇyk  yk1 ˇ ˇ k ˇ n m kDn

kDnC1

 jrn j C jrm j C

m  X kDnC1

  sup jrk j yk1  yk k>n



  D jrn j C jrm j C sup jrk j yn  ym : k>n

The first part of item (c) now follows from the fact that, on the one hand, jyj  1 gives m ˇX ˇ  ˇ ˇ ak xk ˇ  jrn j C jrm j C sup jrk j I ˇ kDn

k>n

n

on the other, rn ! 0. Finally, for the second part of (c), note that the first part guarantees that f extends continuously to Œ0; R. P k kC1 for jxj < 1. Since 8. In Example 11.30, we saw that log.1 C x/ D k0 .1/ kC1 x P k .1/ k0 kC1 converges (cf. Example 7.50), it suffices to use the result of the previous problem. 9. Adapt the hint given to the previous problem, this time using (11.23). Alternatively, start by showing that 1 .1/n x2n 2 4 6 n1 2n2 D 1  x C x  x C    C .1/ x C 1 C x2 1 C x2

B Hints and Solutions

639

for every real x. Then, integrate both sides of the above inequality from 0 a 1, noticing that ˇZ ˇ ˇ ˇ

1 0

ˇ Z 1 Z 1 .1/n x2n ˇˇ x2n 1  I dx dx  x2n dx D ˇ 2 1 C x2 1 C x 2n C1 0 0

finally, let n ! C1. 10. For item (a), just note that s0  s1  sj  : : :, so that limj!C1 sj D inffsj I j  0g 2 R [ f˙1g. For item (b), assume first that lim sup ak D M 2 R. Then, in the above notations, M D inffsj I j  0g, so that, given  > 0, M C  is no longer a lower bound for fsj I j  0g. In turn, this implies the existence of j 2 N such that sj < M C , and thus al < M C  for every l  j. This means that only a1 ; a2 ; : : : ; al1 can be greater than M C . On the other hand, the fact that M D inffsj I j  0g gives supfaj ; ajC1 ; : : :g D sj  M, and hence M   is not an upper bound for faj ; ajC1 ; : : :g, so that there exists j1  j such that aj1 > M  . By repeating this argument with sj1 C1 D supfaj1 C1 ; aj1 C2 ; : : :g, we get j2 > j1 such that aj2 > M  . Then, proceeding by induction we construct a whole sequence j1 < j2 < : : : of naturals such that ajl > M   for every l  1. The converse of (b) can be established in a similar way. 11. For itemp(a), use item (b)ii. of the previous problem. For item (b), first show that lim sup k jak xk j > and then use item (b)i. of the previous problem. Finally, since items (a) and (b) show that the series converges in .R; R/ and diverges outside of ŒR; R, we conclude that R is its radius of convergence, thus establishing (c). P j 12. For item (a), Theorem 11.27 guarantees that xf 0 .x/ D j1 2j x2 for 0  x < 1. Moreover, since 2j x2 > x2 C x2 C1 C x2 C2 C    C x2 j

j

j

j

jC1 1

;

we conclude that xf 0 .x/ >

X j  X k j j jC1 x D x2 C x2 C1 C x2 C2 C    C x2 1 D j1

Integrating the inequality f 0 .x/ > get the desired inequality.

k2 x 1x

x2 : 1x

along the interval Œ0; x, with x < 1, we

Section 11.4 1. Note that a1 C a2 C    C ak D m if and only if xa1 xa2 : : : xak D xm ; hence, conclude that there are as many solutions .a1 ; a2 ; : : : ; ak / of the given equation as ways of getting a summand xm in

640

B Hints and Solutions

f .x/ D .1 C x C x2 C    /.1 C x C x2 C    / : : : .1 C x C x2 C    / : ƒ‚ … „ k

P kCn1 n 1 x for jxj < 1, where in the Next, show that f .x/ D .1x/ k D n0 n last equality we used the result of Problem 4, page 483, to get the power series expansion of .1  x/k . 2. Proceeding as in the hint given to the previous problem, we want to compute the coefficient of x20 in .1 C x C x2 C    /.x2 C x3 C    /.1 C x C x2 C    /.1 C x C x2 C    C x7 /:

3. 4. 5.

6. 7.

Letting f .x/ denote such an expression when jxj < 1, conclude that f .x/ D 1 .x2 C x3 C x4 C    C x9 /  .1x/ 3 . Then, use once more the result of Problem 4, page 483. Make induction on k  2, the case k D 2 being given by Proposition 11.46. Differentiate both sides of (11.29) and, then, make x D 1. Note that Theorem 11.27 assures we can do this. Firstly, use to show that an  n2 for n  2. Secondly, letting P induction k f .x/ D a x and noticing that the radius of convergence of the power P k1 k series k2 k2 xk is equal to 1, conclude that f is defined in the interval .1; 1/. Now, use the given recurrence relation to show that f .x/ D 2x C xf .x/ C xg0 .x/, x with g.x/ D 1x for jxj < 1. From this point, get a closed formula for f .x/, valid for jxj < 1, expand such a formula in power series and find ak in terms of k. Adapt, to the present case, the proof given in this section to Theorem 11.45. For item (b), compute f .x/ D 1 C

X

a n xn D 1 C

n1

D1C

X

X

anC1 xnC1

n0

.2an C n/xnC1

n0

D 1 C 2xf .x/ C

X

.n C 2/xnC1  2

n0

D 1 C 2xf .x/ C g0 .x/  2

X

xnC1

n0

2x ; 1x

x with g.x/ D 1x . For item (c), reduce both sides to a common denominator and, then, compare coefficients of the corresponding numerators. For item (d), use the result of Problem 4, page 483. 8. Adapt, to the present case, the hints given to the items of the previous problem.

B Hints and Solutions

641

9. Use identity (2.5) to get e3x D u3 C v 3 C w3 C 3.ex  u/.ex  v/.ex  w/ D u3 C v 3 C w3 C ex .uv C uw C vw/  uvw: Let f D uv C uw C vw, g D u2 C v 2 C w2 and show that f .0/ D 0, g.0/ D 1, f 0 D f C g and g0 D 2f . Then, use the result of Example 11.51 to find f and finish the proof. 10. For the first part of item (a), use the results of of Theorem 11.27 and Proposition 11.46 to write f 00 C pf 0 C q as a power series. For (b), start by using the recurrence relation of (a) to get, with the aid of the triangle inequality, .k C 2/.k C 1/jakC2j 

k X   .j C 1/jbkj jjajC1 j C jckj jjaj j : jD0

Then, multiply both sides of the above inequality by jx  x0 jkC2 to get .k C 2/.k C 1/AkC2

k X  .j C 1/jbkj .x  x0 /kj jAjC1 jx  x0 j jD0

C

k X ˇ ˇ ˇckj .x  x0 /kj Aj ˇ jx  x0 j2 jD0



k  jx  x j kj X 0 .j C 1/jbkj jrkj jAjC1 r r jD0

C

k X jD0

jckj jrkj

 jx  x j kjC1 jx  x j 0 0 : Aj r r

Item (c) now follows directly from (b). Item (d) follows from (c) and induction on k. For second part of (e), use the recurrence relation of (d) to get .k C 2/.k C 1/AQ kC2  .k C 1/kAQ kC1 D M.k C 2/AQ kC1 :

Section 11.5 1. Make induction on k.   0 . Now, use the fact that 2. Write log x D log x0 C.xx0 / D log x0 Clog 1C xx x0 0 x 7! log.1Cx/ is analytic on .1; 1/ and x 7! xx maps .0; 2x0 / into .1; 1/ and x0 P k1 .xx0 /k is also analytic. For what is left to do, write log x D log x0 C k1 .1/ kxk in .0; 2x0 /.

0

642

B Hints and Solutions

3. Let n0 2 N be such that f .n/ .x/  0 for every x 2 I and n  n0 ; then, f .n/ is nondecreasing for every n > n0 . Now, given x0 ; x 2 I, the Taylor formula for f centered at x0 gives f .x/ D

n1 .k/ X f .x0 / kD0

kŠ

.x  x0 /k C

f .n/ .c/ .x  x0 /n ; nŠ

for some c between x0 and x. If x > x0 , show that 0  f .x/ 

n1 .k/ X f .x0 /

kŠ

kD0

.x  x0 /k 

f .n/ .x/ n .x  x0 /n ! 0: nŠ

Argue analogously if x < x0 . 4. For item (a), show that f .x0 /, f 0 .x0 /, f 00 .x0 /, . . . are uniquely determined by (11.39), and then apply Corollary 11.57. Item (b) is the content of Theorem 11.48. For item (c), let b be the right endpoint of J and suppose that b is not the right endpoint of I. Since p and q are analytic in I, there exists r > 0 such that .b  r; b C r/  I and p and  q are given in this interval by their Taylor series centered at b. If a 2 b  2r ; b , use Theorem 11.54 to show that the Taylor series of p and q centered at a converge in the interval .a  s; a C s/, with s D a  b C r and a C s > b. Let g W .a  s; a C s/ ! R be the unique analytic solution of  00 g C pg0 C qg D 0 : g.a/ D fJ .a/; g0 .a/ D fJ0 .a/ .k/

Conclude that g.k/ .a/ D fJ .a/ for every integer k  0 and then that g D fJ in .a  s; b/. Then, extend fJ to J [ .a  s; a C s/. Finally, for (d), let J be the largest open interval contained in I such that (11.39) has a solution in J. Use item (c) to show that J D I.

Index

Symbols madic representation, 98

A Abel’s convergence criterion, 243 convergence test, 243 identity, 137 inequality, 137 Abel, Niels H., 38, 137, 243 Accumulation point, 503 Algebraic expression, 19 identity, 20 operations, 19 Algorithm, 46 division, 2 elimination, 46 for polynomials, division, 43, 310 output of an, 46 Analytic function, 500 AP, 62 Approximation by defect, 3 Archimedes, 202, 347 Archimedian property, 202 Area function, 350 Arithmetic mean, 86 progression, 62 Arithmetic progression common difference of an, 63 general term of an, 64 of second order, 80

recursive characterization of an, 63 sum of the first n terms, 64 Associativity of addition, 5 of multiplication, 5 Asymptote horizontal, 289 oblique, 291 vertical, 289 Axiom, 4, 87 Axiomatic method, 4 Axioms of addition and multiplication, 5 of the order relation on R, 7, 8 Axis of a parabola, 190

B Banach fixed point theorem of, 263 Stefan, 263 Beatty Samuel, 228 sequences, 228 Bernstein Serguei N., 510 Theorem of, 510 Bhaskara formula of, 36 II, 26 Bijection, 166 Binary representation, 94 expansion, 94

© Springer International Publishing AG 2017 A. Caminha Muniz Neto, An Excursion through Elementary Mathematics, Volume I, Problem Books in Mathematics, DOI 10.1007/978-3-319-53871-6

643

644 Binomial expansion, general term of, 106 formula, Newton’s, 104 number, 98 Bolzano Bernard, 213 theorem of, 264 Bound greatest lower, 203 least upper, 203 lower, 201 upper, 201 Bounded from above, set, 201 from below, set, 201 function, 193 sequence, 210 set, 201, 284

C Calculus, fundamental theorem of, 382 Canonical form of a quadratic function, 161 of a second degree trinomial, 34, 161 Cardano, Girolamo, 38 Cartesian product, 145 Catenary, 413 Catenoid, 413 Cauchy Augustin Louis, 124 inequality for integrals, 381 inequality of, 124 integrability criterion of, 355 MVT of, 315 sequence, 216 Cavalieri’s principle, 380 Chain rule, 300 for continuity, 252 for derivatives, 305 Change of variables for improper integrals, 435 formula, 392 Characteristic equation, 73, 494 Chebyshev inequality of, 129 Pafnuty, 129 Circle, osculating, 344 Coefficient of a monomial, 20 Coefficients of a polynomial, 20 Commutativity of addition, 5 of multiplication, 5

Index Comparison test for improper integrals, 430 for series, 236 Completeness of R, 12 Completing squares, 35 Conics, confocal, 311 Constant Lipschitz, 262 of Euler-Mascheroni, 407 Convergence criterion, Abel’s, 243 interval of, 473 of an improper integral, 427 radius of, 473 test, Abel’s, 243 Convergent absolutely convergent, 237 sequence, 208 series, 229 Cosecant, 344 Cosine function, 195 hyperbolic, 412 Counting, fundamental principle of, 96 Criterion Abel convergence, 243 Cauchy’s integrability, 355 Leibniz convergence, 238 Cube of a real number, 9 Curvature, 344 radius, 344 Cycloid, 444 step of the, 445

D Darboux Jean-Gaston, 325 theorem of, 325 Decimal expansion, 12 representation, 3, 4, 12, 243 del Ferro, Scipione, 38 Dense set, 221 Derivative, 276 chain rule for, 305 function, 297 function, second, 298 left-handed, 294 of a function at a point, 292 right-handed, 294 second, 298 test, first, 320

Index Directrix of a parabola, 189 Dirichlet, 469 function, 255, 354 Gustav Lejeune, 255 integral of, 431 Discriminant, 34, 494 of a quadratic function, 153 Distance between two graphs, 326 from a point to a graph, 263, 326 Distributivity of multiplication, 5 Division algorithm, 2 quotient of a, 2 remainder of a, 2 Domain, 147 maximal, 148 of definition, maximal, 148

E Elimination algorithm, 46 gaussian, 46 Equation, 45 biquadratic, 39 characteristic, 73, 494 first degree, 34 modular, 28 of degree n, polynomial, 34 reciprocal polynomial, 39, 44 second degree, 34 solution of an, 45 Euler -Mascheroni constant, 407 Leonhard, 406 theorem of, 406, 437 Exponential function, 403 of basis a, 405 Expression algebraic, 19 polynomial, 20 Extrema, 319 Extreme point, 158 value, 158

F Factorisation, 21 Family, 172 Fatorial, 82, 98

645 Fejér Lipót, 470 theorem of, 470, 471 Fibonacci number, 110, 487 sequence, 73, 104, 243, 488 Fixed point, 179 theorem, Banach, 263 Focus of a parabola, 189 Fontana, Niccolò, 38 Formula Bhaskara’s, 26, 36 double radical, 26 for integration by parts, 386 Newton’s binomial, 104 of change of variables, 392 of Leibniz for , 470, 485 Stirling’s, 408 Taylor’s, 306, 447 trinomial expansion, 110 Viète’s, 23, 36 Fourier convergence theorem of, 469 Joseph, 432 series, 469 series, nth partial sum of the, 471 Fractional part, 152 Function, 143, 146 k times continuously differentiable, 299 kth derivative, 299 nth power, 270 nth root, 176, 271 affine, 153 analytic, 500 arc-cosine, 199, 271 arc-sine, 198, 271 arc-tangent, 199 area, 350 bijective, 166 bounded, 193, 284 characteristic, 365 codomain, 147 composite, 163 concave, 328 constant, 144 continuous, 248 continuous at a point, 248 continuously differentiable, 299 convex, 328 cosine, 195 decreasing, 156 defined by parts, 147 derivative, 297

646 Function (cont.) differentiable, 297 differentiable at a point, 292 domain of a, 147 elliptic, 444 even, 171, 195 exponential, 403 exponential generating, 486 exponential of basis a, 405 fixed point of a, 179 fractional part, 152 Gamma, 441 graph of a, 185 highly transcendental, 444 identity, 145 image of a, 150 increasing, 156 infinitely differentiable, 299 injective, 166 integer part, 152 integrable, 426 inverse, 173 inverse trigonometric, 198 Jacobi’s, 444 limit of a, 278 linear, 153 lipschitzian, 262 maximum points of a, 158 maximum value of a, 158 measurable, 366 minimum points of a, 158 minimum value of a, 158 modular, 188 monotonic, 156 natural logarithm, 398 nondecreasing, 156 nonincreasing, 156 odd, 171, 195 of a real variable, 148 of Dirichlet, 354 of inverse proportionality, 153 one-to-one, 166 one-to-one onto, 166 onto, 166 ordinary gerating, 486 period of a periodic, 171 periodic, 171, 195 piecewise continuous, 376 polynomial, 251 primitive of an integrable, 382 quadratic, 153 rational, 251 real, 147 Riemann integrable, 354

Index Riemann’s zeta, 231 secant, 304, 412 second degree, 153 second derivative, 298 simple, 366 sine, 195 square root, 175 step, 365 strictly concave, 328 strictly convex, 328 surjective, 166 tangent, 197, 254 twice differentiable at a point, 298 uniformly continuous, 259 zero of a, 301 Functions difference of, 152 equal, 151 product of, 149 quotient of, 152 sum of, 149 Fundamental Theorem of Arithmetic, 2 of Calculus, 351

G Galois, Évariste, 38 Gauss, Johann Carl Friedrich, 46 Geometric progression, 65 series, 230 Geometric progression common ratio of a, 65 general term of a, 66 recursive characterization of a, 65, 66 sum of the first k terms of a, 66 Girard Albert, 43 relations of, 43 GP, 65 Graph curvature of a, 344 distance from a point to a, 263, 326 length of a, 439 moving a, 194 of a function, 185 rectifiable, 439 region under the, 363 translating a, 194, 196 Graphs distance between two, 326 tangent, 300

Index H Hölder inequality of, 417, 436 Otto, 417 Harmonic mean, 117 series, 230 Hyperbolic cosine, 412 sine, 412

I Identity, Abel’s, 137 Image inverse, 366 of an element, 143 Improper integral, 427 change of variables for an, 435 Induction hypothesis, 91 principle of mathematical, 87, 90 proof by, 88, 90 step, 91 strong, 93 Inequality between arithmetic and geometric means, 127, 322 between arithmetic and harmonic means, 117 for integrals, Cauchy, 381 for integrals, triangle, 372 of Abel, 137 of Cauchy, 124 of Chebyshev, 129 of Hölder, 417, 436 of Jensen, 334 of Minkowski, 426 of power means, 421 of Young, 416 rearrangement, 133 triangle, 30, 96, 126 weighted arithmetic-geometric means, 122, 425 Infimum of a set, 203 Initial value problem, 385 Injection, 166 Integer part, 152 Integral absolutely convergent, 432 additivity of the Riemann, 369 convergence of an improper, 427

647 Dirichlet’s, 431 improper, 427 indefinite, 351, 381 Lebesgue, 366 linearity of the Riemann, 369 monotonicity of the Riemann, 368 test, 432 triangle inequality for the Riemann, 372 Integration by parts, 386 by substitution, 393 by trigonometric substitution, 395 Intermediate value theorem, 265 Interval, 17 bounded, 17 closed, 17 closed on the left, 17 closed on the right, 17 endpoints of an, 17 interior of an, 319 length of an, 17 open, 17 open on the left, 17 open on the right, 17 partition of an, 351 unbounded, 17 Inverse additive, 5 image, 366 multiplicative, 5 Isometry, 224 IVT, 265

J Jacobi Carl Gustav Jacob, 444 function of, 444 Jensen inequality of, 334 Johan, 334

K Kronecker lemma, 221 Leopold, 221

L l’Hôpital Marquis de, 312 rule of, 312, 316

648 Lagrange identity of, 107 Joseph Louis, 107 MVT of, 313 remainder, Taylor formula with, 447 Lambert Johann Heinrich, 388 theorem of, 388 Lebesgue dominated convergence theorem of, 460 Henri, 364 integral, 366 theorem of, 364 Leibniz criterion, 238 formula for , 470, 485 G. W., 238 Gottfried Wilhem, 277 rule of, 471 Lemma of Kronecker, 221 of nested intervals, 215 Riemann-Lebesgue, 471 sign-preserving, 258, 281 Leonardo di Pisa, 73 Limit at infinity, 287, 288 fundamental trigonometric, 285 infinite, 287 lateral, 286 left-handed, 286 of a function, 278 one-sided, 286 superior, 485 Lipschitz constant, 262 Rudolf, 262 Logarithm function, natural, 398 of base a, 405 Lower bound, greatest, 203 sum, 352 Lucas François Édouard Anatole, 77 sequence, 77

M Mean ˛th power, 421 arithmetic, 86, 115 geometric, 115

Index harmonic, 117 inequality of power, 421 quadratic, 127 Mean value for integrals, 391 theorem of Cauchy, 315 theorem of Lagrange, 313 Measurable function, 366 set, 366 Measure Lebesgue, 366 zero, Lebesgue, 364 Minkowski Hermann, 426 inequality of, 426 Modulus, 27 Monomial, 20 coefficient of a, 20 MVT of Cauchy, 315 of Lagrange, 313

N Negative half-line, 15 Neighborhood, 277 Newton binomial formula, 104 binomial theorem, 478 Isaac, 104, 277 Newton’s method, 301, 455 quotient, 292 Notation Q P, 78 , 78 Number binomial, 98 Fibonacci, 110, 487 generalized binomial, 477 integer, 1 irrational, 12 natural, 1 negative, 8 positive, 8 rational, 1 real, 5 trinomial, 110

O Ordered pair, 145

Index P Parabola, 189 axis of a, 190 directrix of a, 189 focus of a, 189 vertex of a, 190 Part fractional, 152 integer, 152 Partition norm of a, 360 of an interval, 351 uniform, 358, 363 Pascal Blaise, 100 triangle of, 100 Perfect cube, 13 power, 13 square, 13 Periodic function, 195 sequence, 4 Permutation, 133 Point accumulation, 503 critical, 319 extreme, 158, 319 inflection, 333 local maximum, 319 local minimum, 319 of a function, fixed, 179 Polynomial, 20 coefficients of a, 20 equation of degree n, 34 expression, 20 reciprocal, 44 Polynomials, division algorithm for, 43, 310 Positive half-line, 15 Postulate, 4 Power nth, 9 perfect, 13 series, 472 Primitive of an integrable function, 382 Principle multiplicative, 96 of Cavalieri, 380 of counting, fundamental, 96 Problem, initial value, 385 Product cartesian, 145 notation, 82 telescoping, 84

649 Progression arithmetic, 62 geometric, 65 Pythagoras of Samos, 16 theorem of, 16

Q Quadratic function, 153 canonical form of a, 161 Quotient, Newton’s, 292

R Rôlle Michel, 312 theorem of, 312 Radius of convergence, 473 of curvature, 344 Rate of change, 276 instantaneous, 277 Rational dyadic, 206 function, 251 number, 1 Ravi’s transformation, 120 Real function, 147 line, 16 number, 5 variable, 19 Rearrangement, 133 Rearrangement inequality, 133 Rectifiable graph, 439 Recurrence relation, 62 with constant coefficients, first order linear, 70 with constant coefficients, second order linear, 70 Recursive definition, 62 Region under the graph, 363 Relation between two sets, 145 on a set, 145 order, 7 recurrence, 62 Stifel’s, 99, 478 Representation madic, 98 binary, 94 decimal, 4, 12, 243

650 Riemann theorem of, 360 Bernhard, 231, 354 integral, 360 integral, additivity of the, 369 integral, linearity of the Riemann, 369 integral, monotonicity of the, 368 sum, 360 zeta function of, 231 Root nth, 13, 206 approximation, square, 97 cubic, 13 existence of the nth, 204 index of a, 13 of a polynomial function, 251 square, 13 test, 243 Rule l’Hôpital’s, 316 trapezium, 449

S Secant function, 304, 412 Second degree equation, 34 trinomial, 23, 34 trinomial, canonical form of a, 34, 161 trinomial, factorisation of a, 23, 24 trinomial, factorised form of a, 38 Sequence, 4 kth term of a, 61, 145 bounded, 210 Cauchy, 216 constant, 78 convergent, 208 divergent, 208 Fibonacci, 73, 104, 243, 488 finite, 61, 145 index of a, 62 infinite, 61, 145 limit of a, 208 Lucas, 77 periodic, 4 positional formula for a, 61 Sequence of functions pointwise convergent, 456 pointwise limit of a, 456 uniformly convergent, 457 Series absolutely convergent, 237

Index alternate, 238 binomial, 478 commutatively convergent, 243 comparison test for, 236 convergent, 229 divergent, 229 Fourier, 469 general term of a, 229 geometric, 230 harmonic, 230 of functions, 463 of real numbers, 228 of the inverses of primes, 436 partial sum of a, 229 power, 472 sum of a, 229 Taylor, 450 Set bounded, 201 bounded from above, 201 bounded from below, 201 countable, 168 countably infinite, 168 dense, 206, 221 infimum of a, 203 Lebesgue measure of a, 366 measurable, 366 null, 364 of integers, 1 of measure zero, 364 of naturals, 1 of rationals, 1 of real numbers, 5 supremum of a, 203 unbounded, 202 unbounded from above, 202 unbounded from below, 202 uncountable, 169, 172 Sign rules, 9 Sine function, 195 hyperbolic, 412 Square of a real number, 9 Square root approximation, 97 function, 175 Stifel Michael, 99 relation of, 99, 478 Stirling formula of, 408 James, 408 Subsequence, 209

Index Substitution integration by, 393 integration by trigonometric, 395 of variable, 36 Sum lower, 352 Riemann, 360 telescoping, 80 upper, 352 Supremum, 203 Surjection, 166 System of equations, 45 coefficients of a linear, 45 determined, 47, 50 impossible, 47, 49, 50 linear, 45 of second degree, 54 solution of a, 45 undetermined, 47, 49, 50 unknowns of a, 45

T Tangent function, 197, 254 graphs, 300 line, 295 Tartaglia, 38 Tauber, Alfred, 481 Tauberian theorem, 482 Taylor Brook, 447 formula, 447 series, 450 theorem of, 447 Telescoping product, 84 sum, 80 Test Abel’s convergence, 243 for improper integrals, comparison, 430 for series, comparison, 236 integral, 432 ratio, 238 root, 243 Theorem Banach fixed point, 263 binomial, 478 dominated convergence, 460 for integrals, mean value, 391 intermediate value, 265 of Arithmetic, Fundamental, 2 of Bernstein, 510 of Bolzano, 264

651 of Bolzano-Weierstrass, 213 of Calculus, Fundamental, 351 of Calculus, fundamental, 382 of Cauchy, mean value, 315 of columns, 101 of Darboux, 325 of diagonals, 102 of Euler, 406, 437 of Fejér, 470, 471 of Fourier, convergence, 469 of Lagrange, mean value, 313 of Lambert, 388 of Lebesgue, 364 of lines, 107 of Newton, binomial, 478 of Pythagoras, 16 of Rôlle, 312 of Riemann, 360 of Taylor, 447 of Weierstrass, 215 of Zeckendorf, 98 squeezing, 218, 284 tauberian, 481, 482 Weierstrass approximation, 460 Transformation of Ravi, 120 Trapezium rule, 449 Triangle inequality, 30, 32, 126 Pascal’s, 100 Trinomial expansion formula, 110 factorisation of a second degree, 23, 24 factorised form of a second degree, 38 number, 110 second degree, 23, 34

U Unbounded from above, set, 202 from below, set, 202 set, 202 Upper bound, least, 203 sum, 352

V Variable real, 19 substitution, 36 Variation, 276 first, 321 second, 333

652

Index

Vertex of a parabola, 190 Viète formula of, 23 formulas of, 36 François, 23

Y Young inequality of, 416 William H., 416

W Weierstrass approximation theorem, 460 Karl, 213 M-test of, 464 theorem of, 215

Z Zeckendorf Édouard, 98 theorem of, 98 Zero of a function, 301