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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      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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