Description

Book Synopsis
This book presents a unified treatise of the theory of measure and integration. In the setting of a general measure space, every concept is defined precisely and every theorem is presented with a clear and complete proof with all the relevant details. Counter-examples are provided to show that certain conditions in the hypothesis of a theorem cannot be simply dropped. The dependence of a theorem on earlier theorems is explicitly indicated in the proof, not only to facilitate reading but also to delineate the structure of the theory. The precision and clarity of presentation make the book an ideal textbook for a graduate course in real analysis while the wealth of topics treated also make the book a valuable reference work for mathematicians.The book is also very helpful to graduate students in statistics and electrical engineering, two disciplines that apply measure theory.

Table of Contents
Measure Spaces; The Lebesgue Integral; Differentiation and Integration; The Classical Banach Spaces; Extension of Additive Set Functions to Measures; Measure and Integration on the Euclidean Space; Hausdorff Measures on the Euclidean Space; Appendices: Digital Expansion of Real Numbers; Measurability of Limits and Derivatives; Variation and Oscillation of Functions; Lipschitz Condition and Bounded Derivatives; Uniform Integrability.

Real Analysis: Theory Of Measure And Integration

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A Paperback / softback by James J Yeh

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    View other formats and editions of Real Analysis: Theory Of Measure And Integration by James J Yeh

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 11/08/2014
    ISBN13: 9789814578547, 978-9814578547
    ISBN10: 9814578541

    Description

    Book Synopsis
    This book presents a unified treatise of the theory of measure and integration. In the setting of a general measure space, every concept is defined precisely and every theorem is presented with a clear and complete proof with all the relevant details. Counter-examples are provided to show that certain conditions in the hypothesis of a theorem cannot be simply dropped. The dependence of a theorem on earlier theorems is explicitly indicated in the proof, not only to facilitate reading but also to delineate the structure of the theory. The precision and clarity of presentation make the book an ideal textbook for a graduate course in real analysis while the wealth of topics treated also make the book a valuable reference work for mathematicians.The book is also very helpful to graduate students in statistics and electrical engineering, two disciplines that apply measure theory.

    Table of Contents
    Measure Spaces; The Lebesgue Integral; Differentiation and Integration; The Classical Banach Spaces; Extension of Additive Set Functions to Measures; Measure and Integration on the Euclidean Space; Hausdorff Measures on the Euclidean Space; Appendices: Digital Expansion of Real Numbers; Measurability of Limits and Derivatives; Variation and Oscillation of Functions; Lipschitz Condition and Bounded Derivatives; Uniform Integrability.

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