Calculus (Book)

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The textbook Calculus by Tom Apostol introduces calculus.

Calculus
Information
Author	Tom Apostol
Language	English
Publisher	Wiley
Publication Date	16 January 1991
Pages	666
ISBN-10	0471000051
ISBN-13	978-0471000051

Table of Contents

Chapter/Section #	Title	Page #
I. INTRODUCTION
Part 1: Historical Introduction
I 1.1	The two basic concepts of calculus	1
I 1.2	Historical background	2
I 1.3	The method of exhaustion for the area of a parabolic segment	3
*I 1.4	Exercises	8
I 1.5	A critical analysis of the Archimedes' method	8
I 1.6	The approach to calculus to be used in this book	10
Part 2: Some Basic Concepts of the Theory of Sets
I 2.1	Introduction to set theory	11
I 2.2	Notations for designating sets	12
I 2.3	Subsets	12
I 2.4	Unions, intersections, complements	13
I 2.5	Exercises	15
Part 3: A set of Axioms for the Real-Number System
I 3.1	Introduction	17
I 3.2	The field axioms	17
*I 3.3	Exercises	19
I 3.4	The order axioms	19
*I 3.5	Exercises	21
I 3.6	Integers and rational numbers	21
I 3.7	Geometric interpretation of real numbers as points on a line	22
I 3.8	Upper bound of a set, maximum element, least upper bound (supremum)	23
I 3.9	The least-Upper-bound axiom (completeness axiom)	25
I 3.10	The Archimedean property of the real-number system	25
I 3.11	Fundamental properties of the supremum and infimum	26
*I 3.12	Exercises	28
*I 3.13	Existence of square roots of nonnegative real numbers	29
*I 3.14	Roots of higher order. Rational powers	30
*I 3.15	Representation of real numbers by decimals	30
Part 4: Mathematical Induction, Summation Notation, and Related Topics
I 4.1	An example of a proof by mathematical induction	32
I 4.2	The principle of mathematical induction	34
*I 4.3	The well-ordering principle	34
I 4.4	Exercises	35
*I 4.5	Proof of the well-ordering principle	37
I 4.6	The summation notation	37
I 4.7	Exercises	39
I 4.8	Absolute values and the triangle inequality	41
I 4.9	Exercises	43
*I 4.10	Miscellaneous exercises involving induction	44
1. THE CONCEPTS OF INTEGRAL CALCULUS
1.1	The basic ideas of Cartesian geometry	48
1.2	Functions. Informal description and examples	50
1.3	Functions. Formal definition as a set of ordered pairs	53
1.4	More examples of real functions	54
1.5	Exercises	56
1.6	The concept of area as a set function	57
1.7	Exercises	60
1.8	Intervals and ordinate sets	60
1.9	Partitions and step functions	61
1.10	Sum and product of step functions	63
1.11	Exercises	63
1.12	The definition of the integral for step functions	64
1.13	Properties of the integral of a step function	66
1.14	Other notations for integrals	69
1.15	Exercises	70
1.16	The integral of more general functions	72
1.17	Upper and lower integrals	74
1.18	The area of an ordinate set expressed as an integral	75
1.19	Informal remarks on the theory and technique of integration	75
1.20	Monotonic and piecewise monotonic functions. Definitions and examples	76
1.21	Integrability of bounded monotonic functions	77
1.22	Calculation of the integral of a bounded monotonic function	79
1.23	Calculation of the integral \(\int_0^b x^p dx\) when \(p\) is a positive integer	79
1.24	The basic properties of the integral	80
1.25	Integration of polynomials	81
1.26	Exercises	83
1.27	Proofs of the basic properties of the integral	84
2. SOME APPLICATIONS OF INTEGRATION
2.1	Introduction	88
2.2	The area of a region between two graphs expressed as an integral	88
2.3	Worked examples	89
2.4	Exercises	94
2.5	The trigonometric functions	94
2.6	Integration formulas for the sine and cosine	94
2.7	A geometric description of the sine and cosine functions	94
2.8	Exercises	94
2.9	Polar coordinates	94
2.10	The integral for area in polar coordinates	94
2.11	Exercises	94
2.12	Application of integration to the calculation of volume	94
2.13	Exercises	94
2.14	Application of integration to the calculation of work	94
2.15	Exercises	94
2.16	Average value of a function	94
2.17	Exercises	94
2.18	The integral as a function of the upper limit. Indefinite integrals	94
2.19	Exercises	94
3. CONTINUOUS FUNCTIONS
3.1	Informal description of continuity	126
3.2	The definition of the limit of a function	127
3.3	The definition of continuity of a function	130
3.4	The basic limit theorems. More examples of continuous functions	131
3.5	Proofs of the basic limit theorems	135
3.6	Exercises	138
3.7	Composite functions and continuity	140
3.8	Exercises	142
3.9	Bolzano's theorem for continuous functions	142
3.10	The intermediate-value theorem for continuous functions	144
3.11	Exercises	145
3.12	The process of inversion	146
3.13	Properties of functions preserved by inversion	147
3.14	Inverses of piecewise monotonic functions	148
3.15	Exercises	149
3.16	The extreme-value theorem for continuous functions	150
3.17	The small-span theorem for continuous functions (uniform continuity)	152
3.18	The integrability theorem for continuous functions	152
3.19	Mean-value theorems for integrals of continuous functions	154
3.20	Exercises	155
4. DIFFERENTIAL CALCULUS
4.1	Historical introduction	156
4.2	A problem involving velocity	157
4.3	The derivative of a function	159
4.4	Examples of derivatives	161
4.5	The algebra of derivatives	164
4.6	Exercises	167
4.7	Geometric interpretation of the derivative as a slope	169
4.8	Other notations for derivatives	171
4.9	Exercises	173
4.10	The chain rule for differentiating composite functions	174
4.11	Applications of the chain rule. Related rates and implicit differentiation	176
4.12	Exercises	179
4.13	Applications of the differentiation to extreme values of cuntions	181
4.14	The mean-value theorem for derivatives	183
4.15	Exercises	186
4.16	Applications of the mean-value theorem to geometric properties of functions	187
4.17	Second-derivative test for extrema	188
4.18	Curve sketching	189
4.19	Exercises	191
4.20	Worked examples of extremum problems	191
4.21	Exercises	194
4.22	Partial derivatives	196
4.23	Exercises	201
5. THE RELATION BETWEEN INTEGRATION AND DIFFERENTIATION
5.1	The derivative of an indefinite integral. The first fundamental theorem of calculus	202
5.2	The zero-derivative theorem	204
5.3	Primitive functions and the second fundamental theorem of calculus	205
5.4	Properties of a function deduced from properties of its derivative	207
5.5	Exercises	208
5.6	The Leibniz notation for primitives	210
5.7	Integration by substitution	212
5.8	Exercises	216
5.9	Integration by parts	217
5.10	Exercises	220
5.11	Miscellaneous review exercises	222
6. THE LOGARITHM, THE EXPONENTIAL, AND THE INVERSE TRIGONOMETRIC FUNCTIONS
6.1	Introduction	226
6.2	Motivation for the definition of the natural logarithm as an integral	227
6.3	The definition of the logarithm. Basic properties	229
6.4	The graph of the natural logarithm	230
6.5	Consequences of the functional equation \(L(ab) = L(a) + L(b)\)	230
6.6	Logarithms referred to any positive base \(b \ne 1\)	232
6.7	Differentiation and integration formulas involving logarithms	233
6.8	Logarithmic differentiation	235
6.9	Exercises	236
6.10	Polynomial approximations to the logarithm	236
6.11	Exercises	242
6.12	The exponential function	242
6.13	Exponentials expressed as powers of e	242
6.14	The definition of \(e^x\) for arbitrary real x	244
6.15	The definition of \(a^x\) for \(a > 0\) and x real	245
6.16	Differentiation and integration formulas involving exponentials	245
6.17	Exercises	248
6.18	The hyperbolic functions	251
6.19	Exercises	251
6.20	Derivatives of inverse functions	252
6.21	Inverses of the trigonometric functions	253
6.22	Exercises	256
6.23	Integration by partial fractions	258
6.24	Integrals which can be transformed into integrals of rational functions	264
6.25	Exercises	267
6.26	Miscellaneous review exercises	268
7. POLYNOMIAL APPROXIMATIONS TO FUNCTIONS
7.1	Introduction	272
7.2	The Taylor polynomials generated by a function	273
7.3	Calculus of Taylor polynomials	275
7.4	Exercises	278
7.5	Taylor's formula with remainder	278
7.6	Estimates for the error in Taylor's formula	280
7.7	Other forms of the remainder in Taylor's formula	283
7.8	Exercises	284
7.9	Further remarks on the error in Taylor's formula. The o-notation	286
7.10	Applications to indeterminate forms	289
7.11	Exercises	290
7.12	L'Hopital's rule for the indeterminate form 0/0	292
7.13	Exercises	295
7.14	The symbols \(+\inf\) and \(-\inf\). Extension of L'Hopital's rule	296
7.15	Infinite limits	298
7.16	The behavior of log\(x\) and \(e^x\) for large \(x\)	300
7.17	Exercises	303
8. INTRODUCTION TO DIFFERENTIAL EQUATIONS
8.1	Introduction	305
8.2	Terminology and notation	306
8.3	A first-order differential equation for the exponential function	307
8.4	First-order linear differential equations	308
8.5	Exercises	311
8.6	Some physical problems leading to first-order linear differential equations	313
8.7	Exercises	319
8.8	Linear equations of second order with constant coefficients	322
8.9	Existence of solutions of the equation \(y^{''} + by = 0\)	323
8.10	Reduction of the general equation to the special case \(y^{''} + by = 0\)	324
8.11	Uniqueness theorem for the equation \(y^{''} + by = 0\)	324
8.12	Complete solution of the equation \(y^{''} + by = 0\)	326
8.13	Complete solution of the equation \(y^{''} + ay^' + by = 0\)	326
8.14	Exercises	328
8.15	Nonhomogeneous linear equations of second order with constant coefficients	329
8.16	Special methods for determining a particular solution of the nonhomogeneous equation \(y^{''} + ay^' + by = R\)	332
8.17	Exercises	333
8.18	Examples of physical problems leading to linear second-order equations with constant coefficients	334
8.19	Exercises	339
8.20	Remarks concerning nonlinear differential equations	339
8.21	Integral curves and direction fields	341
8.22	Exercises	344
8.23	First-order separable equations	345
8.24	Exercises	347
8.25	Homogeneous first-order equations	347
8.26	Exercises	350
8.27	Some geometrical and physical problems leading to first-order equations	351
8.28	Miscellaneous review exercises	355
9. COMPLEX NUMBERS
9.1	Historical introduction	358
9.2	Definitions and field properties	358
9.3	The complex numbers as an extension of the real numbers	360
9.4	The imaginary unit \(i\)	361
9.5	Geometric interpretation. Modulus and argument	362
9.6	Exercises	365
9.7	Complex exponentials	366
9.8	Complex-valued functions	368
9.9	Examples of differentiation and integration formulas	369
9.10	Exercises	371
10. SEQUENCES, INFINITE SERIES, IMPROPER INTEGRALS
10.1	Zeno's paradox	374
10.2	Sequences	378
10.3	Monotonic sequences of real numbers	381
10.4	Exercises	382
10.5	Infinite series	383
10.6	The linearity property of convergent series	385
10.7	Telescoping series	386
10.8	The geometric series	388
10.9	Exercises	391
10.10	Exercises on decimal expansions	393
10.11	Tests for convergence	394
10.12	Comparison tests for series of nonnegative terms	394
10.13	The integral test	397
10.14	Exercises	398
10.15	The root test and the ratio test for series of nonnegative terms	399
10.16	Exercises	402
10.17	Alternating series	403
10.18	Conditional and absolute convergence	406
10.19	The convergence tests of Dirichlet and Abel	407
10.20	Exercises	409
10.21	Rearrangements of series	411
10.22	Miscellaneous review exercises	414
10.23	Improper integrals	416
10.24	Exercises	420
11. SEQUENCES AND SERIES OF FUNCTIONS
11.1	Pointwise convergence of sequences of functions	422
11.2	Uniform convergence of sequences of functions	423
11.3	Uniform convergence and continuity	424
11.4	Uniform convergence and integration	425
11.5	A sufficient condition for uniform convergence	427
11.6	Power series. Circle of convergence	428
11.7	Exercises	430
11.8	Properties of functions represented by real power series	431
11.9	The Taylor's series generated by a function	434
11.10	A sufficient condition for convergence of a Taylor's series	435
11.11	Power-series expansions for the exponential and trigonometric functions	435
11.12	Bernstein's theorem	437
11.13	Exercises	438
11.14	Power series and differential equations	439
11.15	The binomial series	441
11.16	Exercises	443
12. VECTOR ALGEBRA
12.1	Historical introduction	445
12.2	The vector space of n-tuples of real numbers	446
12.3	Geometric interpretation for \(n \leq 3\)	448
12.4	Exercises	450
12.5	The dot product	451
12.6	Length or norm of a vector	453
12.7	Orthogonality of vectors	455
12.8	Exercises	456
12.9	Projections. Angle between vectors in n-space	457
12.10	The unit coordinate vectors	458
12.11	Exercises	460
12.12	The linear span of a finite set of vectors	462
12.13	Linear independence	463
12.14	Bases	466
12.15	Exercises	467
12.16	The vector space \(V_N(C)\) of n-tuples of complex numbers	468
12.17	Exercises	470
13. APPLICATIONS OF VECTOR ALGEBRA TO ANALYTIC GEOMETRY
13.1	Introduction	471
13.2	Lines in n-space	472
13.3	Some simple properties of straight lines	473
13.4	Lines and vector-valued functions	474
13.5	Exercises	477
13.6	Planes in Euclidean n-space	478
13.7	Planes and vector-valued functions	481
13.8	Exercises	482
13.9	The cross product	483
13.10	The cross product expressed as a determinant	486
13.11	Exercises	487
13.12	The scalar triple product	488
13.13	Cramer's rule for solving a system of three linear equations	490
13.14	Exercises	491
13.15	Normal vectors to planes	493
13.16	Linear Cartesian equations for planes	494
13.17	Exercises	496
13.18	The conic sections	497
13.19	Eccentricity of conic sections	500
13.20	Polar equations for conic sections	501
13.21	Exercises	503
13.22	Conic sections symmetric about the origin	504
13.23	Cartesian equations for the conic sections	505
13.24	Exercises	508
13.25	Miscellaneous exercises on conic sections	509
14. CALCULUS OF VECTOR-VALUED FUNCTIONS
14.1	Vector-valued functions of a real variable	512
14.2	Algebraic operations. Components	512
14.3	Limits, derivatives, and integrals	513
14.4	Exercises	516
14.5	Applications to curves. Tangency	517
14.6	Applications to curvilinear motion. Velocity, speed, and acceleration	520
14.7	Exercises	524
14.8	The unit tangent, the principal normal, and the osculating plane of a curve	525
14.9	Exercises	528
14.10	The definition of arc length	529
14.11	Additivity of arc length	532
14.12	The arc-length function	533
14.13	Exercises	535
14.14	Curvature of a curve	536
14.15	Exercises	538
14.16	Velocity and acceleration in polar coordinates	540
14.17	Plane motion with radial acceleration	542
14.18	Cylindrical coordinates	543
14.19	Exercises	543
14.20	Applications to planetary motion	545
14.21	Miscellaneous review exercises	549
15. LINEAR SPACES
15.1	Introduction	551
15.2	The definition of a linear space	551
15.3	Examples of linear spaces	552
15.4	Elementary consequences of the axioms	554
15.5	Exercises	555
15.6	Subspaces of a linear space	556
15.7	Dependent and independent sets in a linear space	557
15.8	Bases and dimension	559
15.9	Exercises	560
15.10	Inner products, Euclidean spaces, norms	561
15.11	Orthogonality in a Euclidean space	564
15.12	Exercises	566
15.13	Construction of orthogonal sets. The Gram-Schmidt process	568
15.14	Orthogonal complements. Projections	572
15.15	Best approximation of elements in a Euclidean space by elements in a finite-dimensional subspace	574
15.16	Exercises	576
16. LINEAR TRANSFORMATIONS AND MATRICES
16.1	Linear transformations	578
16.2	Null space and range	579
16.3	Nullity and rank	581
16.4	Exercises	582
16.5	Algebraic operations on linear transformations	583
16.6	Inverses	585
16.7	One-to-one linear transformations	587
16.8	Exercises	589
16.9	Linear transformations with prescribed values	590
16.10	Matrix representations of linear transformations	591
16.11	Construction of a matrix representation in diagonal form	594
16.12	Exercises	596
16.13	Linear spaces of matrices	597
16.14	Isomorphism between linear transformations and matrices	599
16.15	Multiplication of matrices	600
16.16	Exercises	603
16.17	Systems of linear equations	605
16.18	Computation techniques	607
16.19	Inverses of square matrices	611
16.20	Exercises	613
16.21	Miscellaneous exercises on matrices	614
Answers to exercises		617
Index		657