Measure and Integral

Measure and Integral
Author: Richard Wheeden
Publisher: CRC Press
Total Pages: 289
Release: 1977-11-01
Genre: Mathematics
ISBN: 1482229536

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This volume develops the classical theory of the Lebesgue integral and some of its applications. The integral is initially presented in the context of n-dimensional Euclidean space, following a thorough study of the concepts of outer measure and measure. A more general treatment of the integral, based on an axiomatic approach, is later given.


Measure and Integral
Language: en
Pages: 289
Authors: Richard Wheeden
Categories: Mathematics
Type: BOOK - Published: 1977-11-01 - Publisher: CRC Press

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This volume develops the classical theory of the Lebesgue integral and some of its applications. The integral is initially presented in the context of n-dimensi
Measure and Integral
Language: en
Pages: 524
Authors: Richard L. Wheeden
Categories: Mathematics
Type: BOOK - Published: 2015-04-24 - Publisher: CRC Press

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Now considered a classic text on the topic, Measure and Integral: An Introduction to Real Analysis provides an introduction to real analysis by first developing
Measure and Integral
Language: en
Pages: 172
Authors: Martin Brokate
Categories: Mathematics
Type: BOOK - Published: 2015-06-24 - Publisher: Birkhäuser

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The Lebesgue integral is an essential tool in the fields of analysis and stochastics and for this reason, in many areas where mathematics is applied. This textb
Measure, Integration & Real Analysis
Language: en
Pages: 430
Authors: Sheldon Axler
Categories: Mathematics
Type: BOOK - Published: 2019-11-29 - Publisher: Springer Nature

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This open access textbook welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler la
Measure, Integral and Probability
Language: en
Pages: 229
Authors: Marek Capinski
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on me