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Measure Theory: Second Edition (Birkhäuser Advanced Texts Basler Lehrbücher) 2nd ed. 2013 Edition
| Donald L. Cohn (Author) Find all the books, read about the author, and more. See search results for this author |
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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.
- ISBN-101461469554
- ISBN-13978-1461469551
- Edition2nd ed. 2013
- PublisherBirkhäuser
- Publication dateJuly 14, 2013
- LanguageEnglish
- Dimensions6.14 x 1.06 x 9.21 inches
- Print length478 pages
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Editorial Reviews
Review
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)
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)
Product details
- Publisher : Birkhäuser; 2nd ed. 2013 edition (July 14, 2013)
- Language : English
- Hardcover : 478 pages
- ISBN-10 : 1461469554
- ISBN-13 : 978-1461469551
- Item Weight : 18.51 pounds
- Dimensions : 6.14 x 1.06 x 9.21 inches
- Best Sellers Rank: #1,127,909 in Books (See Top 100 in Books)
- #472 in Mathematical Analysis (Books)
- #850 in Calculus (Books)
- #1,659 in Probability & Statistics (Books)
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Note: If like me you already know basic measure theory and you're skimming through the book looking ffor the good stuff you may notice that any space with a singleton of infinite measure is a counterexample to Prop 3.3.5. The resolution is that Cohn's L-infinity norm is not what you think it is; see page 92.
I bought this book as a supplementary text because the recommended text for the course is the book by A. N. Kolmogorov.
I have not regretted my decision to buy this book in my effort to understand the course.
I strongly recommend this text book.
However, the pages in this textbook began falling out of the binding within days of its arrival. This is a book that does not even leave my office. This being the case, I cannot imagine this book was never meant to actually be opened and read.
Somehow, this book will have to make it through two semesters of graduate school. I suppose I will have to pay to get it rebound myself.
Needless to say, this is inexcusable for a $60 pile of paper.
HOW AND WHY IS AMAZON USING A CHEAP MEANS OF PRODUCING ACADEMIC TITLES?
Why do I say the norm?
Because I had made precisely the same, very descriptive complaint about another book (Interest Rate Models - Theory and Practice: With Smile, Inflation and Credit)which I ordered in in July 2014.
This book proves conditions for when an Lp space is separable, and this is nearly the only well known measure theory book that proves this (Proposition 3.4.5): For a measure space X with a sigma-finite measure and countably generated sigma-algebra, Lp(X) is a separable Banach space. It is reassuring to have conditions for when an Lp space is separable because it is common to tacitly take Hilbert spaces to be separable.
Aside from the topics that must be in any measure theory book, there are chapters on Borel measures on locally compact spaces and the Riesz representation theorem, Polish spaces, Haar measure on topological groups, and probability. The chapter on probability is more weighty than the chapter on probability in Folland. It has things like tight collections of measures and the portmanteau theorem (Proposition 10.3.2), martingales and the upcrossing inequality (Proposition 10.4.11), a detailed freestanding construction of Brownian motion, and the Kolmogorov consistency theorem (Theorem 10.6.2).
Cohn is less comprehensive than Bogachev, Measure Theory (2 Volume Set) , but almost everything in Cohn would be worth learning by almost any analyst, whereas Bogachev has topics that would be a long diversion. Cohn does not do geometric measure theory: the co-area formula and Hausdorff measure do not appear, for which see Evans and Gariepy, Measure Theory and Fine Properties of Functions, Revised Edition (Textbooks in Mathematics) .
I really can't understand the proof of equation (2) of the theorem 1.3.6 (page 17)









