1,090 92 62MB
English Pages [892] Year 1972
Advanced Engineering Mattiematies THIRD EDITION
By Ervtrin Kreyszig
WILEY INTERNATIONAL EDITION
Advanced Engineering Mathematics
Third Edition
Advanced Engineering Mathematics Erivin Kreyszig Professor of Mathematics
Ohio State University Columbus, Ohio
John Wiley and Sons, Inc. New York London Sydney •
•
•
Toronto
Copyright
©
1962, 1967, 1972, by John Wiley
All rights reserved.
No
part of this
&
Sons, Inc.
Published simultaneously in Canada.
book may be reproduced by any means, nor
transmitted, nor translated into a machine language with-
out the written permission of the publisher. Library of Congress Catalogue Card
Number: 71-172951
Printed in the United States of America. 10 9 8 7
Preface
This book
Purpose of the book.
is
intended to introduce students of engineering
and physics to those areas of mathematics which, from a
modern point of view,
seem to be the most important in connection with practical problems.
Topics
New
ideas of
are chosen according to the frequency of occurrence
modern mathematical
in
apphcations.
training, as expressed in recent
education, were taken into account.
The book should
symposia on engineering suit
those institutions that
have offered extended mathematical training for a long time as well as those that intend to follow the general trend of broadening the program of instruction in mathematics.
A
course in elementary calculus
The material included
in the
is
the sole prerequisite.
book has formed
the basis of various lecture courses
given to undergraduate and graduate students of engineering, physics, and mathe-
matics in this country, in Canada, and in Europe.
Changes in the third edition. The present edition differs essentially from the and second editions as follows. The problems have been changed. A new chapter on numerical methods for engineers (Chap. 18) has been added. It is suitable for a course meeting three hours a week. The material on linear algebra and analysis (vectors and matrices in Chaps. 5 to 8) has been revised and amplified. The new presentation emphasizes algebraic as well as geometric aspects. Chapter 5 also contains an elementary introduction to vector spaces, inner product spaces, and some other, concepts that are important in functional analysis and its applications. These major changes are suggested and motivated by the development of
first
engineering mathematics during the past decade, especially the widespread application of automatic computers to the solution of engineering problems and the increasing importance of methods of linear algebra.
Other improvements include a more compact consideration of Bessel functions and Legendre polynomials. In particular, the orthogonality of these functions is now discussed much earlier (in Chap. 3) in connection with the Sturm-Liouville
VI
Preface
theory.
Appendix
extended.
A
1,
containing references to the literature, has been updated and
collection of frequently used formulas for elementary
and higher
functions has been added as Appendix 3; this replaces and extends Chap.
The numerical
in
the
have been placed together in Appendix 4 in order to facilitate the use of the book. Content and arrangement. The arrangement of the subject matter in major parts can be seen from the diagram. previous editions.
tables
Ordinary
Linear
Linear
differential
algebra:
algebra:
equations Chaps. 1,2
Vectors
Matrices
Chap. 5
Chap. 6
Power series
Laplace trans-
method
formation
Chap. 3
Chap. 4
Vector calculus
Chap. 7
Integral
theorems Chap. 8
Fourier
Preface considerable complexity.
Answers
to
odd-numbered problems
vii
are included at the
end o( the book, starting on page 794. Tables of functions are included in Appendix Suggestions for a sequence of courses.
on page 833.
4.
The material may be taken
sequence
equations (Chaps. 1^).
Firs! semester.
Ordinary
Second semester.
Linear algebra and vector analysis (Chaps. 5-8).
difTerential
Fourier series and partial differential equations (Chaps.
Third semester.
Numerical methods (Chap. Fourth semester.
A
in
for four consecutive semester courses, meeting 3-5 hours a
and is then suitable week as follows:
Complex
analysis (Chaps.
9,
10),
18). 1
1-17).
course on engineering statistics (3-5 hours a week;
Chap.
19)
may
be taught
during any of those four semesters or afterwards. Independent one-semester courses.
pendent one-semester courses meeting
The book 3
is
also suitable for various inde-
hours a week; for example:
Introduction to ordinary differential equations (Chaps.
Laplace transformation (Chap.
Vector algebra and calculus (Chaps.
5, 7).
Matrices and systems of linear equations (Chap.
8).
Fourier series and partial differential equations (Chaps.
Complex
analysis (Chaps.
Numerical analysis (Chap. Shorter courses. at the beginning of
1
1, 2).
4).
9, 10).
1-16). 18).
Sections that
may
be omitted
in a shorter
course are indicated
each chapter.
Which topics should be contained in a book how and should these topics be arranged and presented? of the present type, these basic questions we may take a look at the historical To find some answer to engineering mathematics. This development shows the following development of two interesting features: Principles for selection of topics.
1 it
.
is
Mathematics has become more and more important easy to conjecture that
this
to engineering science,
trend will also continue
in
the future.
and
In fact,
modern engineering are so complex that most of them cannot be solved solely by using physical intuition and past experience. The empirical approach has been successful in the solution of many problems in the past, but fails as soon as high speeds, large forces, high temperatures or other abnormal conditions are involved, and the situation becomes still more critical by the fact that various modern materials Experimental work has (plastics, alloys, etc.) have unusual physical properties. become complicated, time-consuming, and expensive. Here mathematics offers aid in planning constructions and experiments, in evaluating experimental data, and in reducing the work and cost offinding solutions.
prohlenis
in
Preface
via 2.
Mathematical
niethocls which
were developed for purely theoretical reasons
suddenly became of great importance in engineering mathematics. Examples are the theory of matrices, conformal mapping, and the theory of differential equations having periodic solutions.
What
are the reflections of this situation on the teaching of engineering mathe-
will need more and more mathematics, should we try more and more topics in our courses, devoting less and less time to each topic? Or should we concentrate on a few carefully selected basic ideas of general
matics? Since the engineer to include
which are especially suitable for teaching the student mathe-
practical importance
matical thinking and developing his Sixty or eighty years ago
own
creative ability?
no one was able to predict that conformal mapping
or matrices would ever be of importance in the mathematical part of engineering
work.
Similarly,
it
is
difficult to
new mathematical
conjecture which
have applications to engineering twenty or
thirty years
from now.
theories will
But no matter
what happens in that respect, if a student has a good training in the fundamentals of mathematics he will meet the future needs because he will be able to get acquainted with new methods by his own further study. It follows that the most important objective and purpose in engineering mathematics seems to be that the student becomes familiar with mathematical thinking. He should learn to recognize the guiding principles and ideas "behind the scenes," which are more important than formal manipulations. He should get the impression that mathematics is not a collection of tricks and recipes but a systematic science of practical importance, resting on a relatively small number of basic concepts and involving powerful unifying methods. He should soon convince himself of the necessity for applying mathematical procedures to engineering problems, and he will find that the theory and its applications are related to each other like a tree
and
its fruits.
The student
1.
see that the application of
will
problem consists
mathematics to an engineering
essentially of three phases:
Translation of the given physical information into a mathematical form.
way we obtain a mathematical model of the physical differential equation,
situation.
This model
In this
may
be a
a system of linear equations, or some other mathematical
expression. 2. Treatment of the model by mathematical methods. This will lead of the given problem in mathematical form. 3. Interpretation of the mathematical result in physical terms.
All three steps is
such that
it
to the solution
seem to be of equal importance, and the presentation
will
help the student to develop
skill in
carrying out
In this connection, preference has been given to applications
in this
all
book
these steps.
which are of a general
nature. In some considerations it will be unavoidable to rely on results whose proofs are beyond the level of a book of the present type. In any case these points are marked distinctly, because hiding difficulties and oversimplifying matters is no real help to the student in preparing him for his professional work.
ix
Preface
These are some of the guiding principles material in this book.
1
made
I
used
in selecting
and presenting the and present
the choice with greatest care, using past
teaching and research experience and resisting the temptation to include "everything which
is
Particular
important"
eft'orts
increases
level
ditlicull theoretical
engineering mathematics. in
presenting the topics as simply, clearly, and
choice of the notations.
this refers also to the
accurately as possible;
chapter the
in
have been made
gradually,
In each
avoiding jumps and accumulations of
considerations.
am indebted to many of my former teachers, colleagues, Acknowledgement. and students for advice and help in preparing this book. Various parts of the manuscript were distributed to my classes in mimeographed form and returned to me, together with suggestions for improvement. Discussions with various engineers and mathematicians were of great help to me; I want to mention in particular Professors S. Bergman, P. L. Chambre, A. Cronheim, J. W. Dettman, R. G. Helsel, 1
Mann,!. Marx,W. D. Munroe,H.-W. Pu,T. Rado(t), Todd, H. J. Weiss, A. Wilansky, all in this country, Professor H. S. M. Coxeter of Toronto, and Professors B. Baule, H. Behnke, H. Florian, H. Graf, F. Hohenberg, K. Klotter, M. Pinl, F. Reutter, C. Schmieden,
E.C. Klipple.H. Kuhn.H. H. A. Smith,
J.
B.
P. Spencer, J.
H. linger, A. Walther(t), H. Wielandt, inadequate acknowledgment of Finally,
1
want
to thank
my
all in
Europe.
I
can offer here only an
appreciation.
John Wiley and Sons
their great care in preparing this edition
for their effective cooperation
and
of the book.
Suggestions of many readers were evaluated in preparing the present edition. Any further comment and suggestion for improvement of the book will be gratefully received.
Erwin Kreyszig
Coil ten ts
Chapter
1
Ordinary Differential Equations of the First Order 1.1
Basic Concepts and Ideas,
1.2
Geometrical Considerations.
1.3
Separable Equations, 10
1.4
Equations Reducible to Separable Form, 18 Exact Differential Equations, 19
1.5
1
1
Isoclines, 8
1.6
Integrating Factors, 22
1.7
Linear First-Order Differential Equations, 24
1.8
Variation of Parameters, 28
1.9
Electric Circuits, 30
Orthogonal Trajectories, 35 Method, 39 1.12 Existence and Uniqueness of Solutions, 42 1.10 Families of Curves. 1.11
Picard's Iteration
Chapter 2
47
Ordinary Linear Differential Equations 2.1
2.2
Homogeneous Linear Equations of the Second Order, 48 Homogeneous Second-Order Equations with Constant Coefficients, 51
2.3
2.4
General Solution. Fundamental System, 53 the Characteristic Equation.
Complex Roots of
Initia'l
Value Problem, 56 2.5
Double Root of the Characteristic Equation, 60
2.6
Free Oscillations, 62
Cauchy Equation, 69 Existence and Uniqueness of Solutions, 71 Homogeneous Linear Equations of Arbitrary Order, 77 2.9 2.10 Homogeneous Linear Equations of Arbitrary Order 2.7
2.8
with Constant Coefficients, 80
Contents
xii
2.11
2.12
Nonhomogeneous Linear Equations, 82 A Method for Solving Nonhomogeneous Linear Equations, 84
2.13 Forced Oscillations. Resonance, 87
2.14 Electric Circuits, 93 2.15
Complex Method for Obtaining Particular Solutions, 97 Method for Solving Nonhomogeneous Equations, 99
2.16 General
Chapter 3
Power
Series Solutions of Differential Equations
3.1
The Power
3.2
Theoretical Basis of the
3.3
Legendre's Equation. Legendre Polynomials, 111
3.4
Extended Power Series Method. Indicial Equation, 114 Bessel's Equation. Bessel Functions of the First Kind, 125
3.5
3.6 3.7
3.8
3.9
Series
Method, 102 Power
Series
102
Method, 106
Bessel Functions of the Second Kind, 130 Orthogonal Sets of Functions, 134 Sturm-Liouville Problem, 138 Orthogonality of Legendre Polynomials and Bessel Functions, 142
Chapter 4
147
Laplace Transformation 4.1
Laplace Transform. Inverse Transform.
4.2
Laplace Transforms of Derivatives and Integrals, 152
4.3
Transformation of Ordinary Differential Equations, 156
4.4
Partial Fractions, 158
4.5
Examples and Applications, 162 Differentiation and Integration of Transforms, 167
4.6 4.7
Unit Step Function, 169
4.8
Shifting
4.9
Periodic Functions, 177
4.10 Table of
on the
r-axis,
Linearity, 147
173
Some Laplace Transforms,
185
Chapter 5 Linear Algebra Part
I:
Vectors
5.1
Scalars and Vectors, 189
5.2
Components of
5.3
5.4
Addition of Vectors, Multiplication by Scalars, 193 Vector Spaces. Linear Dependence and Independence, 196
5.5
Inner Product (Dot Product), 200
a Vector, 191
5.6
Inner Product Spaces, 205
5.7
Vector Product (Cross Product), 206
188
1
Contents
Terms of Components, 208
5.8
Vector Products
5.9
Scalar Triple Product.
in
xiii
Other Repeated Products, 213
Chapter 6 Linear Algebra Part
Matrices and Determinants
II:
6.1
Basic Concepts, 218
6.2
Addition of Matrices, Multiplication by Numbers, 221
6.3
6.4
Transpose of a Matrix. Special Matrices, 222 Matrix Multiplication, 224
6.5
Systems of Linear Equations.
6.6
Determinants of Second and Third Order, 238
Gauss Elimination, 233
6.7
Determinants of Arbitrary Order, 243
6.8
Rank of
6.9
Systems of Linear Equations: Existence and General Properties
a Matrix.
Row
218
Equivalence, 253
of Solutions, 256 6.10 Linear Dependence and Rank.
Singular Matrices, 258
Systems of Linear Equations: Solution by Determinants, 261 6.12 The Inverse of a Matrix, 265 6.13 Bilinear, Quadratic, Hermitian, and Skew-Hermitian Forms, 269 6.11
6.14 Eigenvalues, Eigenvectors, 273 6.15 Eigenvalues of Hermitian, Skew-Hermitian, and Unitary Matrices, 279
Chapter 7 Vector Fields
Vector Differential Calculus. 7.1
Scalar Fields and Vector Fields, 285
7.2
Vector Calculus, 288
7.3
Curves, 291
7.4
Arc Length, 294
7.5
Tangent.
7.6
Velocity and Acceleration, 299
7.7
Chain Rule and Mean Value Theorem for Functions
285
Curvature and Torsion, 296
of Several Variables, 303 Directional Derivative. Gradient of a Scalar Field, 306 Transformation of Coordinate Systems and Vector Components, 313 7.10 Divergence of a Vector Field, 316
7.8
7.9
7.1
Curl of a Vector Field, 320
Chapter 8 Line and Surface Integrals.
Integral Theorems
8.1
Line Integral, 322
8.2
Evaluation of Line Integrals, 325
8.3
Double
8.4
Transformation of Double Integrals into Line Integrals, 336
Integrals,
329
322
xiv
Contents
8.5
Surfaces, 341
8.6
Tangent Plane.
8.7
Surface Integrals, 349
Fundamental Form. Area, 343
First
Divergence Theorem of Gauss, 354 Consequences and Applications of the Divergence Theorem, 358 8.10 Stokes's Theorem, 364 8.11 Consequences and Applications of Stolces's Theorem, 367 8.12 Line Integrals Independent of Path, 369 8.8
Triple Integrals.
8.9
Chapter 9 Fourier Series and Integrals
317
Trigonometric
9.1
Periodic Functions.
9.2
Fourier Series.
9.3
Functions Having Arbitrary Period, 386 Even and Odd Functions, 389
9.4
Series,
377
Euler Formulas, 380
9.8
Half-Range Expansions, 393 Determination of Fourier Coefficients Without Integration, 396 Forced Oscillations, 402 Approximation by Trigonometric Polynomials. Square Error, 405
9.9
The Fourier
9.5
9.6 9.7
Integral,
407
Chapter 10
415
Partial Differential Equations 10.1
Basic Concepts, 415
10.2
Vibrating String.
10.3
Separation of Variables (Product Method), 419
10.4
D'AIembert's Solution of the
One-Dimensional Wave Equation, 417
Wave
Equation, 426
One-Dimensional Heat Flow, 430 10.6 Heat Flow in an Infinite Bar, 434 10.7 Vibrating Membrane. Two-Dimensional Wave Equation, 438 10.8 Rectangular Membrane, 440 10.9 Laplacian in Polar Coordinates, 447 10.10 Circular Membrane. Bessel's Equation, 449 10.11 Laplace's Equation. Potential, 454 10.12 Laplace's Equation in Spherical Coordinates. Legendre's Equation, 457
10.5
Chapter 11
461
Complex Analytic Functions 11.1
Complex Numbers. Triangle
11.2
Limit.
11.3
Cauchy-Riemann Equations. Laplace's Equation, 474
Derivative.
Inequality, 462
Analytic Function, 470
Contents
xv
Root, 478
11.4
Rational Functions.
11.5
Exponential Function, 481
11.6
Trigonometric and Hyperbolic Functions, 483
11.7
Logarithm. General Power, 487
Chapter 12
490
Conformal Mapping
12.2
Mapping, 490 Conformal Mapping, 494
12.3
Linear Fractional Transformations, 498
12.4
Special Linear Fractional Transformations, 502
12.5
Mapping by Other Elementary Functions, 506 Riemann Surfaces, 513
12.1
12.6
Chapter 13
Complex
517
Integrals
13.1
Line Integral in the Complex Plane, 517
13.2
Basic Properties of the
13.3
Cauchy's Integral
13.4 13.5 13.6
Complex Line
Integral,
522
Theorem, 524 Line Integrals by Indefinite Integration, 531 Evaluation of Cauchy's Integral Formula, 534 The Derivatives of an Analytic Function, 536
Chapter 14 Sequences and Series 14.1
540
Sequences, 540
548
14.2
Series,
14.3
Tests for Convergence and Divergence of Series, 552
14.4
Operations on Series, 558
14.5
Power
14.6
Functions Represented by Power Series, 569
Series,
562
Chapter 15
574
Taylor and Laurent Series 15.1
Taylor
15.2
Taylor Series of Elementary Functions, 579
15.3
Practical
15.4
Series,
574
Methods for Obtaining Power Uniform Convergence, 584
15.5
Laurent
15.6
Behavior of Functions
Series, 591 at Infinity,
596
Series, 581
xvi
Contents
Chapter 16 Integration by the 16.1
Method of Residues
599
Zeros and Singularities, 599
16.2
Residues, 603
16.3
The Residue Theorem, 606
16.4
Evaluation of Real Integrals, 608
Chapter 17
Complex Analytic Functions and Potential Theory 17.1
Electrostatic Fields, 616
17.2
Two-Dimensional Fluid Flow, 620 General Properties of Harmonic Functions, 626 Poisson's Integral Formula, 629
17.3
17.4
616
Chapter 18
Numerical Analysis
633
Automatic Computers, 633
18.1
Errors and Mistakes.
18.2
Solution of Equations by Iteration, 638
18.3
Finite Differences, 644
18.4
Interpolation, 648
18.5
18.7
Numerical Integration and Differentiation. 653 Numerical Methods for First-Order Differential Equations, 661 Numerical Methods for Second-Order Differential Equations, 668
18.8
Systems of Linear Equations.
18.9
Systems of Linear Equations.
18.6
18.10 Systems of Linear Equations. 18.11
Method of Least Squares,
Gauss Elimination, 672 Solution by Iteration, 675 Ill-conditioning, 679
681
18.12 Inclusion of Matrix Eigenvalues, 684
18.13 Determination of Eigenvalues by Iteration, 688
18.14 Asymptotic Expansions, 691
Chapter 19 Probability 19.1
19.2 19.3
19.4
and
699
Statistics
Nature and Purpose of Mathematical Statistics, 699 Tabular and Graphical Representation of Samples, 701
Sample Mean and Sample Variance, 707 Random Experiments, Outcomes, Events, 710
19.5
Probability, 714
19.6
Permutations and Combinations, 718
19.7
Random Variables. Mean and Variance
19.8
Discrete and Continuous Distributions, 721
of a Distribution, 726
Contents 19.9
Binomial. Poisson, and Hypergeometric Distributions, 730
19.10
Normal
19.11
Distributions of Several
19.12
Random
xvii
Distribution, 734
Sampling.
Random Variables, 740 Random Numbers, 746
19.13 Estimation of Parameters, 747
19.14 Confidence Intervals, 751 19.15 Testing of Hypotheses, Decisions, 760
19.16 Quality Control, 769
19.17 Acceptance Sampling, 774 19.18
Goodness of
Fit.
;(;2-Test,
779
19.19 Nonparametric Tests, 781
19.20 Pairs of Measurements.
Appendix
Fitting Straight Lines, 783
1
References
789
Appendix 2 Answers to Odd-Numbered Problems
794
Appendix 3
Some Formulas for
Special Functions
826
Appendix 4 Tables
833
Index
849
Advanced Engineering Mathematics
1
CHAPTER
Ordinary Differential Equations of the First Order
Differential equations are of
matics because
many
fundamental importance
and
physical laws
in engineering
mathe-
relations appear mathematically in the
form of such equations. We shall consider various physical and geometrical problems which lead to differential equations and the most important standard methods for solving such equations. These methods will in general involve integration.
We
shall
pay particular attention to the derivation of
differential equations
This transition from the physical problem to a
from given physical situations.
corresponding "mathematical model"
is
of great practical importance and
will
be illustrated by typical examples.
The
first
and
tions,
four chapters of the book are devoted to ordinary differential equa-
in the
present chapter
we
shall start with the simplest of these equations,
Corresponding numerical methods for obtaining approximate solutions are included in Sec. 18.6, which is independent of
the so-called equations of the
first
order.
the other sections in Chap. 18. Prerequisite for the present chapter: integral calculus.
Sections which
may
be omitted
References: Appendix
Answers
/,/
to
1,
in
a shorter course: 1.8-1.12.
Part B.
Problems: Appendix
2.
Basic Concepts and Ideas we
and explain the basic concepts that matter in illustrate these concepts by examples. Then we shall consider two simple practical problems taken from physics and geometry. This will give us a first idea of the nature and purpose of differential equations and their application. By an ordinary differential equation we mean a relation which involves one or In this section
shall define
connection with differential equations and
several derivatives of
may
also involve y
an unspecified function y of x with respect to x; the relation given functions of x, and constants.
itself,
1
Ordinal V Differential Equations of the First Order
2
[Section 1-1
For example,
=
y'
(1)
+
y"
(2)
+
xY'y'
(3)
cos
X,
= 0, = [x^ +
42/
2e-y"
l)y^
are ordinary differential equations.
The term
ordinary distinguishes
from a partial
it
differential equation,
involves partial derivatives of an unspecified function of two or variables.
For example,
dx^ is
which
more independent
dy-
In the present chapter
a partial differential equation.
we
shall consider
only
ordinary differential equations.
An
ordinary differential equation
said to be of order n,
is
if
the «th derivative
of y with respect to x is the highest derivative of ?/ in that equation. The notion of the order of a differential equation leads to a useful classification of the equations into equations of
first
order, second order, etc.
Thus
( 1
) is
a
first-
order equation, (2) is of the second order, and (3) is of the third order. In the present chapter we shall consider first-order equations. Equations of
second and higher order
A
will
be discussed
in
Chaps. 2-4.
function
=
y
(4)
g{x)
is
called a solution of a given first-order differential equation
a
30.
I
follows that the value
that
=
7"(0)
+
In
70f-3''
T(t)
It
ce-^'
k can be determined from the given information T(i)
Step,
Using
k
is
T(t)= 4tlt
in order that
obtained by separating variables;
is
=
T = 31°C
is
70e-