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An Introduction to Measure and Integration (Graduate Studies in Mathematics)
 
 
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An Introduction to Measure and Integration (Graduate Studies in Mathematics) [Hardcover]

Inder K. Rana (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

October 29, 2002 0821829742 978-0821829745 2
Integration is one of the two cornerstones of analysis. Since the fundamental work of Lebesgue, integration has been interpreted in terms of measure theory. This introductory text starts with the historical development of the notion of the integral and a review of the Riemann integral. From here, the reader is naturally led to the consideration of the Lebesgue integral, where abstract integration is developed via measure theory. The important basic topics are all covered: the Fundamental Theorem of Calculus, Fubini's Theorem, $L_p$ spaces, the Radon-Nikodym Theorem, change of variables formulas, and so on.

The book is written in an informal style to make the subject matter easily accessible. Concepts are developed with the help of motivating examples, probing questions, and many exercises. It would be suitable as a textbook for an introductory course on the topic or for self-study.

For this edition, more exercises and four appendices have been added.


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Product Details

  • Hardcover: 424 pages
  • Publisher: Amer Mathematical Society; 2 edition (October 29, 2002)
  • Language: English
  • ISBN-10: 0821829742
  • ISBN-13: 978-0821829745
  • Product Dimensions: 10.2 x 7 x 1.1 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,312,931 in Books (See Top 100 in Books)

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18 of 18 people found the following review helpful:
4.0 out of 5 stars Full of small errors. Excellent, and brilliant book. Very thorough., January 11, 2007
This review is from: An Introduction to Measure and Integration (Graduate Studies in Mathematics) (Hardcover)
This is an amazing book; its clarity is outstanding throughout. However, I want to voice serious reservations about it due to an abundance of errors; I am reviewing the second edition published by the AMS.

This book has more errors than any other math book I have read. These errors include minor typographical errors like sloppy spacing, to equations with the terms included in the wrong order or on wrong lines, misnumbered references to earlier results, and occasional abuse of notation that hinders mathematical rigour. There are substantive errors as well, including the citing of a source for a proof of a theorem that is not actually proved in the cited source.

Errors aside, this is one of the clearest and best motivated expositions of measure theory I have been able to find. The book moves slowly, but never too slowly; it explores essential questions that a student should consider, like counterexamples, converses, and the subtle distinctions between different strengths of conditions. I find this thoroughness very welcome; most texts in measure theory present the most logically direct path to a bare-bones collection of useful results, an approach that doesn't necessarily help students.

The first chapter, on Riemann integration, is unique. The topic is explored in much more depth than in most analysis texts. Most students feel they understand Riemann integration; this book will likely convince them that they do not--and then it will fill the gaps in their understanding. The counterexamples in this book are outstanding--simple, worked through with clarity, and deep.

I think this book would make an outstanding textbook on measure theory, and it is one of the few texts that is good for self-study. I just wish the errors could be corrected; I would then rate it 5 stars without a doubt.
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Inside This Book (learn more)
First Sentence:
The geometric problem that leads to the concept of Riemann integral is the following: given a bounded function f : [a,b] R, how to define the area of the region bounded by the graph of the function and the lines x = a and x = b? Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonnegative simple measurable functions, general extension theory, pth mean, outer measure induced, complete measure space, nonnegative simple functions, nonnegative measurable functions, pairwise disjoint intervals, monotone class, product measure space, monotone convergence theorem, required claim, pairwise disjoint sets, additive set functions, extended integral, signed measure, measurable partition, extended real numbers, dominated convergence theorem, positive set, countable additivity, finite measure space, disjoint subintervals, finite additivity, disjoint open intervals
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