Description

Book Synopsis
The standard topics for a one-term undergraduate real analysis course are covered in this book. In addition, examples are given that show the ways in which real analysis is used in ordinary and partial differential equations, probability theory, numerical analysis, and number theory.

Table of Contents

Preface

Chapter 1 Preliminaries 1

The Real Numbers 1

Sets and Functions 6

Cardinality 15

Methods of Proof 20

Chapter 2 Sequences 27

Convergence 27

Limit Theorems 35

Two-state Markov Chains 40

Cauchy Sequences 44

Supremum and Infimum 52

The Bolzano-Weierstrass Theorem 55

The Quadratic Map 60

Projects 68

Chapter 3 The Riemann Integral 73

Continuity 73

Continuous Functions on Closed Intervals 80

The Riemann Integral 87

Numerical Methods 95

Discontinuities 103

Improper Integrals 113

Projects 119

Chapter 4 Differentiation 121

Differentiable Functions 121

The Fundamental Theorem of Calculus 129

Taylor’s Theorem 134

Newton’s Method 140

Inverse Functions 147

Functions of Two Variables 151

Projects 159

Chapter 5 Sequences of Functions 163

Pointwise and Uniform Convergence 163

Limit Theorems 169

The Supremum Norm 175

Integral Equations 183

The Calculus of Variations 188

Metric Spaces 196

The Contraction Mapping Principle 203

Normed Linear Spaces 210

Projects 219

Chapter 6 Series of Functions 223

Lim sup and Lim inf 223

Series of Real Constants 228

The Weierstrass M-test 238

Power Series 245

Complex Numbers 252

Infinite Products and Prime Numbers 260

Projects 270

Chapter 7 Differential Equations 273

Local Existence 273

Global Existence 283

The Error Estimate for Euler’s Method 289

Projects 296

Chapter 8 Complex Analysis 299

Analytic Functions 299

Integration on Paths 305

Cauchy's Theorem 312

Projects 320

Chapter 9 Fourier Series 323

The Heat Equation 323

Definitions and Examples 331

Pointwise Convergence 337

Mean-square Convergence 345

Projects 355

Chapter 10 Probability Theory 359

Discrete Random Variables 359

Coding Theory 368

Continuous Random Variables 376

The Variation Metric 386

Projects 398

Bibliography 403

Symbol Index 406

Index 409

Fundamental Ideas of Analysis by Michael Reed

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A Paperback / softback by Michael C. Reed

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    View other formats and editions of Fundamental Ideas of Analysis by Michael Reed by Michael C. Reed

    Publisher: John Wiley & Sons Inc
    Publication Date: 24/11/1997
    ISBN13: 9780471159964, 978-0471159964
    ISBN10: 0471159964

    Description

    Book Synopsis
    The standard topics for a one-term undergraduate real analysis course are covered in this book. In addition, examples are given that show the ways in which real analysis is used in ordinary and partial differential equations, probability theory, numerical analysis, and number theory.

    Table of Contents

    Preface

    Chapter 1 Preliminaries 1

    The Real Numbers 1

    Sets and Functions 6

    Cardinality 15

    Methods of Proof 20

    Chapter 2 Sequences 27

    Convergence 27

    Limit Theorems 35

    Two-state Markov Chains 40

    Cauchy Sequences 44

    Supremum and Infimum 52

    The Bolzano-Weierstrass Theorem 55

    The Quadratic Map 60

    Projects 68

    Chapter 3 The Riemann Integral 73

    Continuity 73

    Continuous Functions on Closed Intervals 80

    The Riemann Integral 87

    Numerical Methods 95

    Discontinuities 103

    Improper Integrals 113

    Projects 119

    Chapter 4 Differentiation 121

    Differentiable Functions 121

    The Fundamental Theorem of Calculus 129

    Taylor’s Theorem 134

    Newton’s Method 140

    Inverse Functions 147

    Functions of Two Variables 151

    Projects 159

    Chapter 5 Sequences of Functions 163

    Pointwise and Uniform Convergence 163

    Limit Theorems 169

    The Supremum Norm 175

    Integral Equations 183

    The Calculus of Variations 188

    Metric Spaces 196

    The Contraction Mapping Principle 203

    Normed Linear Spaces 210

    Projects 219

    Chapter 6 Series of Functions 223

    Lim sup and Lim inf 223

    Series of Real Constants 228

    The Weierstrass M-test 238

    Power Series 245

    Complex Numbers 252

    Infinite Products and Prime Numbers 260

    Projects 270

    Chapter 7 Differential Equations 273

    Local Existence 273

    Global Existence 283

    The Error Estimate for Euler’s Method 289

    Projects 296

    Chapter 8 Complex Analysis 299

    Analytic Functions 299

    Integration on Paths 305

    Cauchy's Theorem 312

    Projects 320

    Chapter 9 Fourier Series 323

    The Heat Equation 323

    Definitions and Examples 331

    Pointwise Convergence 337

    Mean-square Convergence 345

    Projects 355

    Chapter 10 Probability Theory 359

    Discrete Random Variables 359

    Coding Theory 368

    Continuous Random Variables 376

    The Variation Metric 386

    Projects 398

    Bibliography 403

    Symbol Index 406

    Index 409

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