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Lebesgue Measure and Integration: An Introduction (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts)

Frank Burk

1 ratings by Goodreads
ISBN 10: 0471179787 / ISBN 13: 9780471179788
Published by Wiley-Interscience, 1997
Used Condition: Used: Good Hardcover
From Ergodebooks (RICHMOND, TX, U.S.A.)

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Bibliographic Details

Title: Lebesgue Measure and Integration: An ...

Publisher: Wiley-Interscience

Publication Date: 1997

Binding: Hardcover

Book Condition:Used: Good

About this title

Synopsis:

A superb text on the fundamentals of Lebesgue measure and integration.

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.

From the Publisher:

Filled with illustrations, problems and five appendices of examples, this lively, clearly written text informs and motivate students about Lebesgue measure and integration through its rich use of detail and historical perspectives. Ideal as an undergraduate text for advanced students in an analysis course and for students considering graduate school in mathematics and statistics. As a graduate text, it provides an excellent foundation upon which to develop an abstract measure and integration theory course.

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