Tom Apostol - Calculus Vol.2 - Multi-Variable Calculus and Linear Algebra with Applications

696 Pages·2000·13.02 MB·English

by  Tom A. Apostol

Tom IN. Apostol
CALCULUS
VOLUME II
Mlul ti Variable Calculus and Linear
Algebra, with Applications to
DifFeren tial Equations and Probability
SECOND EDITION
John Wiley & Sons
New York London Sydney Toronto
C O N S U L T I N G E D I T O R
George Springer, Indiana University
COPYRIGHT 0 1969 BY XEROX CORPORATION.
All rights reserved. No part of the material covered by this copyright
may be produced in any form, or by any means of reproduction.
Previous edition copyright 0 1962 by Xerox Corporation.
Librar of Congress Catalog Card Number: 67-14605
ISBN 0 471 00007 8 Printed in the United States of America.
1 0 9 8 7 6 5 4 3 2
To
Jane and Stephen
PREFACE
This book is a continuation of the author’s Calculus, Volume I, Second Edition. The
present volume has been written with the same underlying philosophy that prevailed in the
first. Sound training in technique is combined with a strong theoretical development.
Every effort has been made to convey the spirit of modern mathematics without undue
emphasis on formalization. As in Volume I, historical remarks are included to give the
student a sense of participation in the evolution of ideas.
The second volume is divided into three parts, entitled Linear Analysis, Nonlinear
Ana!ysis, and Special Topics. The last two chapters of Volume I have been repeated as the
first two chapters of Volume II so that all the material on linear algebra will be complete
in one volume.
Part 1 contains an introduction to linear algebra, including linear transformations,
matrices, determinants, eigenvalues, and quadratic forms. Applications are given to
analysis, in particular to the study of linear differential equations. Systems of differential
equations are treated with the help of matrix calculus. Existence and uniqueness theorems
are proved by Picard’s method of successive approximations, which is also cast in the
language of contraction operators.
Part 2 discusses the calculus of functions of several variables. Differential calculus is
unified and simplified with the aid of linear algebra. It includes chain rules for scalar and
vector fields, and applications to partial differential equations and extremum problems.
Integral calculus includes line integrals, multiple integrals, and surface integrals, with
applications to vector analysis. Here the treatment is along more or less classical lines and
does not include a formal development of differential forms.
The special topics treated in Part 3 are Probability and Numerical Analysis. The material
on probability is divided into two chapters, one dealing with finite or countably infinite
sample spaces; the other with uncountable sample spaces, random variables, and dis-
tribution functions. The use of the calculus is illustrated in the study of both one- and
two-dimensional random variables.
The last chapter contains an introduction to numerical analysis, the chief emphasis
being on different kinds of polynomial approximation. Here again the ideas are unified
by the notation and terminology of linear algebra. The book concludes with a treatment of
approximate integration formulas, such as Simpson’s rule, and a discussion of Euler’s
summation formula.
\‘I11 Preface
There is ample material in this volume for a full year’s course meeting three or four times
per week. It presupposes a knowledge of one-variable calculus as covered in most first-year
calculus courses. The author has taught this material in a course with two lectures and two
recitation periods per week, allowing about ten weeks for each part and omitting the
starred sections.
This second volume has been planned so that many chapters can be omitted for a variety
of shorter courses. For example, the last chapter of each part can be skipped without
disrupting the continuity of the presentation. Part 1 by itself provides material for a com-
bined course in linear algebra and ordinary differential equations. The individual instructor
can choose topics to suit his needs and preferences by consulting the diagram on the next
page which shows the logical interdependence of the chapters.
Once again I acknowledge with pleasure the assistance of many friends and colleagues.
In preparing the second edition I received valuable help from Professors Herbert S.
Zuckerman of the University of Washington, and Basil Gordon of the University of
California, Los Angeles, each of whom suggested a number of improvements. Thanks are
also due to the staff of Blaisdell Publishing Company for their assistance and cooperation.
As before, it gives me special pleasure to express my gratitude to my wife for the many
ways in which she has contributed. In grateful acknowledgement I happily dedicate this
book to her.
T. M. A.
Pasadena, California
September 16, 1968
Logical Interdependence of the Chapters ix
1
LINEAR
S P A C E S
INTRODUCTION
T R A N S F O R M A T I O N S TO NUMERICAL
AND MATRICES A N A L Y S I S
D E T E R M I N A N T S
6 I I 10 1 1 13
I
DIFFLEINRENATRIAL I\ DCAIFLFCEURELNUTS IAOLF I N TLEIGNREA L S ANSEDT EFLUENMCETNIOTANRSY
EQUATIONS SCALAR AND PROBABILITY
4 VECTOR FIELDS H
E I G E N V A L U E S
, I A N D
I 7 EIGENVECTORS
SYSTEMS OF
DIFERENTIALI-
EQUATIONS
OPERATORS ACTING
ON EUCLIDEAN 1 1 P ROBABILITIE S 1
S P A C E S 9
’ APPLICATIONS OF
DIFFERENTIAL I N T E G R A L S
C A L C U L U S
CONTENTS
PART 1. LINEAR ANALYSIS
1. LINEAR SPACES
1.1 Introduction 3
1.2 The definition of a linear space 3
1.3 Examples of linear spaces 4
1.4 Elementary consequences of the axioms 6
1.5 Exercises 7
1.6 Subspaces of a linear space 8
1.7 Dependent and independent sets in a linear space 9
1.8 Bases and dimension 1 2
1.9 Components 1 3
1.10 Exercises 1 3
1.11 Inner products, Euclidean spaces. Norms 14
1.12 Orthogonality in a Euclidean space 18
1.13 Exercises 20
1.14 Construction of orthogonal sets. The Gram-Schmidt process 22
1.15 Orthogonal complements. Projections 2 6
1.16 Best approximation of elements in a Euclidean space by elements in a finite-
dimensional subspace 2 8
1.17 Exercises 3 0
2. LINEAR TRANSFORMATIONS AND MATRICES
2.1 Linear transformations 3 1
2.2 Null space and range 32
2.3 Nullity and rank 3 4
xi
xii Contents
2.4 Exercises 35
2.5 Algebraic operations on linear transformations 36
2.6 Inverses 38
2.7 One-to-one linear transformations 41
2.8 Exercises 4 2
2.9 Linear transformations with prescribed values 44
2.10 Matrix representations of linear transformations 4 5
2.11 Construction of a matrix representation in diagonal form 4 8
2.12 Exercises 50
2.13 Linear spaces of matrices 5 1
2.14 Tsomorphism between linear transformations and matrices 52
2.15 Multiplication of matrices 5 4
2.16 Exercises 57
2.17 Systems of linear equations 58
2.18 Computation techniques 6 1
2.19 Inverses of square matrices 6 5
2.20 Exercises 6 7
2.21 Miscellaneous exercises on matrices 6 8
3. DETERMINANTS
3.1 Introduction 71
3.2 Motivation for the choice of axioms for a determinant function 7 2
3.3 A set of axioms for a determinant function 73
3.4 Computation of determinants 7 6
3.5 The uniqueness theorem 7 9
3.6 Exercises 7 9
3.7 The product formula for determinants 8 1
3.8 The determinant of the inverse of a nonsingular matrix 83
3.9 Determinants and independence of vectors 83
3.10 The determinant of a block-diagonal matrix 8 4
3.11 Exercises 8 5
3.12 Expansion formulas for determinants. Minors and cofactors 86
3.13 Existence of the determinant function 9 0
3.14 The determinant of a transpose 9 1
3.15 The cofactor matrix 9 2
3.16 Cramer’s rule 9 3
3.17 Exercises 94