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Measure Theory and Probability

  • Malcolm Adams
  • Victor Guillemin

Part of the The Wadsworth & Brooks/Cole Mathematics Series book series (WBCMS)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Malcolm Adams, Victor Guillemin
    Pages 1-52
  3. Malcolm Adams, Victor Guillemin
    Pages 53-117
  4. Malcolm Adams, Victor Guillemin
    Pages 118-177
  5. Back Matter
    Pages 178-205

About this book

Introduction

Measure theory and integration are presented to undergraduates from the perspective of probability theory. The first chapter shows why measure theory is needed for the formulation of problems in probability, and explains why one would have been forced to invent Lebesgue theory (had it not already existed) to contend with the paradoxes of large numbers. The measure-theoretic approach then leads to interesting applications and a range of topics that include the construction of the Lebesgue measure on R [superscript n] (metric space approach), the Borel-Cantelli lemmas, straight measure theory (the Lebesgue integral). Chapter 3 expands on abstract Fourier analysis, Fourier series and the Fourier integral, which have some beautiful probabilistic applications: Polya's theorem on random walks, Kac's proof of the Szegö theorem and the central limit theorem. In this concise text, quite a few applications to probability are packed into the exercises.

"…the text is user friendly to the topics it considers and should be very accessible…Instructors and students of statistical measure theoretic courses will appreciate the numerous informative exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students."—The Journal of the American Statistical Association

Keywords

Lebesgue measure Probability theory calculus ksa measure theory proof random walk theorem

Authors and affiliations

  • Malcolm Adams
    • 1
  • Victor Guillemin
    • 2
  1. 1.Department of MathematicsUniversity of GeorgiaAthensUSA
  2. 2.Department of MathematicsMITCambridgeUSA

Bibliographic information