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Measure Theory - (Birkhäuser Advanced Texts Basler Lehrbücher) 2nd Edition by Donald L Cohn (Hardcover)
About this item
Highlights
- Intended as a self-contained introduction to measure theory, this textbook also includes a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups.
- Author(s): Donald L Cohn
- 457 Pages
- Mathematics, Mathematical Analysis
- Series Name: Birkhäuser Advanced Texts Basler Lehrbücher
Description
About the Book
In its new, updated edition, this book discusses integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces and Haar measures on locally compact groups. Includes a chapter on measure-theoretic probability theory and more.Book Synopsis
Intended as a self-contained introduction to measure theory, this textbook also includes a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups. This second edition includes a chapter on measure-theoretic probability theory, plus brief treatments of the Banach-Tarski paradox, the Henstock-Kurzweil integral, the Daniell integral, and the existence of liftings.
Measure Theory provides a solid background for study in both functional analysis and probability theory and is an excellent resource for advanced undergraduate and graduate students in mathematics. The prerequisites for this book are basic courses in point-set topology and in analysis, and the appendices present a thorough review of essential background material.
From the Back Cover
Intended as a self-contained introduction to measure theory, this textbook also includes a comprehensive treatment of integration on locally compact Hausdorff spaces, the analytic and Borel subsets of Polish spaces, and Haar measures on locally compact groups. This second edition includes a chapter on measure-theoretic probability theory, plus brief treatments of the Banach-Tarski paradox, the Henstock-Kurzweil integral, the Daniell integral, and the existence of liftings.
Measure Theory provides a solid background for study in both functional analysis and probability theory and is an excellent resource for advanced undergraduate and graduate students in mathematics. The prerequisites for this book are basic courses in point-set topology and in analysis, and the appendices present a thorough review of essential background material.
The author aims to present a straightforward treatment of the part of measure theory necessary for analysis and probability' assuming only basic knowledge of analysis and topology...Each chapter includes numerous well-chosen exercises, varying from very routine practice problems to important extensions and developments of the theory; for the difficult ones there are helpful hints. It is the reviewer's opinion that the author has succeeded in his aim. In spite of its lack of new results, the selection and presentation of materials makes this a useful book for an introduction to measure and integration theory.
--Mathematical Reviews (Review of the First Edition)
The book is a comprehensive and clearly written textbook on measure and integration...The book contains appendices on set theory, algebra, calculus and topology in Euclidean spaces, topological and metric spaces, and the Bochner integral. Each section of the book contains a number of exercises.
--zbMATH (Review of the First Edition)
Review Quotes
From the book reviews:
"This textbook provides a comprehensive and consistent introduction to measure and integration theory. ... The book can be recommended to anyone having basic knowledge of calculus and point-set topology. It is very self-contained, and can thus serve as an excellent reference book as well." (Ville Suomala, Mathematical Reviews, July, 2014)
"In this second edition, Cohn has updated his excellent introduction to measure theory ... and has made this great textbook even better. Those readers unfamiliar with Cohn's style will discover that his writing is lucid. ... this is a wonderful text to learn measure theory from and I strongly recommend it." (Tushar Das, MAA Reviews, June, 2014)