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More About This Textbook
Overview
This book is designed to give the reader a solid understanding of Lebesgue measure and integration. It focuses on only the most fundamental concepts, namely Lebesgue measure for R and Lebesgue integration for extended real-valued functions on R. Starting with a thorough presentation of the preliminary concepts of undergraduate analysis, this book covers all the important topics, including measure theory, measurable functions, and integration. It offers an abundance of support materials, including helpful illustrations, examples, and problems. To further enhance the learning experience, the author provides a historical context that traces the struggle to define "area" and "area under a curve" that led eventually to Lebesgue measure and integration.
Lebesgue Measure and Integration is the ideal text for an advanced undergraduate analysis course or for a first-year graduate course in mathematics, statistics, probability, and other applied areas. It will also serve well as a supplement to courses in advanced measure theory and integration and as an invaluable reference long after course work has been completed.
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Focusing on the most fundamental concepts<-->Lebesgue measure for and Lebesgue integration for extended real-valued functions on <-->the author presents historical context and the preliminary concepts of undergraduate analysis, followed by discussions of topics such as measure theory, measurable functions, and integration. Intended for an advanced undergraduate analysis course or for a first- year graduate course in mathematics, statistics, probability, and other applied areas. Annotation c. by Book News, Inc., Portland, Or.Product Details
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Table of Contents
Preface xi
Chapter 1. Historical Highlights 1
1.1 Rearrangements 2
1.2 Eudoxus (408-355 B.C.E.) and the Method of Exhaustion 3
1.3 The Lune of Hippocrates (430 B.C.E.) 5
1.4 Archimedes (287-212 B.C.E.) 7
1.5 Pierre Fermat (1601-1665)
1.6 Gottfried Leibnitz (1646-1716), Issac Newton (1642-1723) 12
1.7 Augustin-Louis Cauchy (1789-1857) 15
1.8 Bernhard Riemann (1826-1866) 17
1.9 Emile Borel (1871 -1956), Camille Jordan (1838-1922), Giuseppe Peano (1858-1932) 20
1.10 Henri Lebesgue (1875-1941), William Young (1863-1942) 22
1.11 Historical Summary 25
1.12 Why Lebesgue 26
Chapter 2. Preliminaries 32
2.1 Sets 32
2.2 Sequences of Sets 34
2.3 Functions 35
2.4 Real Numbers 42
2.5 Extended Real Numbers 49
2.6 Sequences of Real Numbers 51
2.7 Topological Concepts of R 62
2.8 Continuous Functions 66
2.9 Differentiable Functions 73
2.10 Sequences of Functions 75
Chapter 3. Lebesgue Measure 87
3.1 Length of Intervals 90
3.2 Lebesgue Outer Measure 93
3.3 Lebesgue Measurable Sets 100
3.4 BorelSets 112
3.5 "Measuring" 115
3.6 Structure of Lebesgue Measurable Sets 120
Chapter 4. Lebesgue Measurable Functions 126
4.1 Measurable Functions 126
4.2 Sequences of Measurable Functions 135
4.3 Approximating Measurable Functions 137
4.4 Almost Uniform Convergence 141
Chapter 5. Lebesgue Integration 147
5.1 The Riemann Integral 147
5.2 The Lebesgue Integral for Bounded Functions on Sets of Finite Measure 173
5.3 The Lebesgue Integral for Nonnegative Measurable Functions 194
5.4 The Lebesgue Integral and Lebesgue Integrability 224
5.5 Convergence Theorems 237
Appendix A. Cantor's Set 252
Appendix B. A Lebesgue Nonmeasurable Set 266
Appendix C. Lebesgue, Not Borel 273
Appendix D. A Space-Filling Curve 276
Appendix E. An Everywhere Continuous, Nowhere Differentiable,
Function 279