Description

Book Synopsis
A uniquely accessible book for general measure and integration, emphasizing the real line, Euclidean space, and the underlying role of translation in real analysis

Measure and Integration: A Concise Introduction to Real Analysis presents the basic concepts and methods that are important for successfully reading and understanding proofs. Blending coverage of both fundamental and specialized topics, this book serves as a practical and thorough introduction to measure and integration, while also facilitating a basic understanding of real analysis.

The author develops the theory of measure and integration on abstract measure spaces with an emphasis of the real line and Euclidean space. Additional topical coverage includes:

  • Measure spaces, outer measures, and extension theorems

  • Lebesgue measure on the line and in Euclidean space
  • Measurable functions, Egoroff''s theorem, and Lusin''s theorem
  • Convergence theorems for integrals

    Trade Review
    "The book is well thought out, organized and written. It has all the results in measure theory that are necessary for both pure and applied mathematics research." (Mathematical Reviews, 2011)

    Table of Contents
    Preface.

    Acknowledgments.

    Introduction.

    1 History of the Subject.

    1.1 History of the Idea.

    1.2 Deficiencies of the Riemann Integral.

    1.3 Motivation for the Lebesgue Integral.

    2 Fields, Borel Fields and Measures.

    2.1 Fields, Monotone Classes, and Borel Fields.

    2.2 Additive Measures.

    2.3 Carathéodory Outer Measure.

    2.4 E. Hopf’s Extension Theorem.

    3 Lebesgue Measure.

    3.1 The Finite Interval [-N,N).

    3.2 Measurable Sets, Borel Sets, and the Real Line.

    3.3 Measure Spaces and Completions.

    3.4 Semimetric Space of Measurable Sets.

    3.5 Lebesgue Measure in Rn.

    3.6 Jordan Measure in Rn.

    4 Measurable Functions.

    4.1 Measurable Functions.

    4.2 Limits of Measurable Functions.

    4.3 Simple Functions and Egoroff’s Theorem.

    4.4 Lusin’s Theorem.

    5 The Integral.

    5.1 Special Simple Functions.

    5.2 Extending the Domain of the Integral.

    5.3 Lebesgue Dominated Convergence Theorem.

    5.4 Monotone Convergence and Fatou’s Theorem.

    5.5 Completeness of L1 and the Pointwise Convergence Lemma.

    5.6 Complex Valued Functions.

    6 Product Measures and Fubini’s Theorem.

    6.1 Product Measures.

    6.2 Fubini’s Theorem.

    6.3 Comparison of Lebesgue and Riemann Integrals.

    7 Functions of a Real Variable.

    7.1 Functions of Bounded Variation.

    7.2 A Fundamental Theorem for the Lebesgue Integral.

    7.3 Lebesgue’s Theorem and Vitali’s Covering Theorem.

    7.4 Absolutely Continuous and Singular Functions.

    8 General Countably Additive Set Functions.

    8.1 Hahn Decomposition Theorem.

    8.2 Radon-Nikodym Theorem.

    8.3 Lebesgue Decomposition Theorem.

    9. Examples of Dual Spaces from Measure Theory.

    9.1 The Banach Space Lp.

    9.2 The Dual of a Banach Space.

    9.3 The Dual Space of Lp.

    9.4 Hilbert Space, Its Dual, and L2.

    9.5 Riesz-Markov-Saks-Kakutani Theorem.

    10 Translation Invariance in Real Analysis.

    10.1 An Orthonormal Basis for L2(T).

    10.2 Closed Invariant Subspaces of L2(T).

    10.3 Schwartz Functions: Fourier Transform and Inversion.

    10.4 Closed, Invariant Subspaces of L2(R).

    10.5 Irreducibility of L2(R) Under Translations and Rotations.

    Appendix A: The Banach-Tarski Theorem.

    A.1 The Limits to Countable Additivity.

    References.

    Index.

Measure and Integration

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    A Hardback by Leonard F. Richardson

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      Publisher: John Wiley & Sons Inc
      Publication Date: 21/07/2009
      ISBN13: 9780470259542, 978-0470259542
      ISBN10: 047025954X
      Also in:
      Mathematics

      Description

      Book Synopsis
      A uniquely accessible book for general measure and integration, emphasizing the real line, Euclidean space, and the underlying role of translation in real analysis

      Measure and Integration: A Concise Introduction to Real Analysis presents the basic concepts and methods that are important for successfully reading and understanding proofs. Blending coverage of both fundamental and specialized topics, this book serves as a practical and thorough introduction to measure and integration, while also facilitating a basic understanding of real analysis.

      The author develops the theory of measure and integration on abstract measure spaces with an emphasis of the real line and Euclidean space. Additional topical coverage includes:

      • Measure spaces, outer measures, and extension theorems

      • Lebesgue measure on the line and in Euclidean space
      • Measurable functions, Egoroff''s theorem, and Lusin''s theorem
      • Convergence theorems for integrals

        Trade Review
        "The book is well thought out, organized and written. It has all the results in measure theory that are necessary for both pure and applied mathematics research." (Mathematical Reviews, 2011)

        Table of Contents
        Preface.

        Acknowledgments.

        Introduction.

        1 History of the Subject.

        1.1 History of the Idea.

        1.2 Deficiencies of the Riemann Integral.

        1.3 Motivation for the Lebesgue Integral.

        2 Fields, Borel Fields and Measures.

        2.1 Fields, Monotone Classes, and Borel Fields.

        2.2 Additive Measures.

        2.3 Carathéodory Outer Measure.

        2.4 E. Hopf’s Extension Theorem.

        3 Lebesgue Measure.

        3.1 The Finite Interval [-N,N).

        3.2 Measurable Sets, Borel Sets, and the Real Line.

        3.3 Measure Spaces and Completions.

        3.4 Semimetric Space of Measurable Sets.

        3.5 Lebesgue Measure in Rn.

        3.6 Jordan Measure in Rn.

        4 Measurable Functions.

        4.1 Measurable Functions.

        4.2 Limits of Measurable Functions.

        4.3 Simple Functions and Egoroff’s Theorem.

        4.4 Lusin’s Theorem.

        5 The Integral.

        5.1 Special Simple Functions.

        5.2 Extending the Domain of the Integral.

        5.3 Lebesgue Dominated Convergence Theorem.

        5.4 Monotone Convergence and Fatou’s Theorem.

        5.5 Completeness of L1 and the Pointwise Convergence Lemma.

        5.6 Complex Valued Functions.

        6 Product Measures and Fubini’s Theorem.

        6.1 Product Measures.

        6.2 Fubini’s Theorem.

        6.3 Comparison of Lebesgue and Riemann Integrals.

        7 Functions of a Real Variable.

        7.1 Functions of Bounded Variation.

        7.2 A Fundamental Theorem for the Lebesgue Integral.

        7.3 Lebesgue’s Theorem and Vitali’s Covering Theorem.

        7.4 Absolutely Continuous and Singular Functions.

        8 General Countably Additive Set Functions.

        8.1 Hahn Decomposition Theorem.

        8.2 Radon-Nikodym Theorem.

        8.3 Lebesgue Decomposition Theorem.

        9. Examples of Dual Spaces from Measure Theory.

        9.1 The Banach Space Lp.

        9.2 The Dual of a Banach Space.

        9.3 The Dual Space of Lp.

        9.4 Hilbert Space, Its Dual, and L2.

        9.5 Riesz-Markov-Saks-Kakutani Theorem.

        10 Translation Invariance in Real Analysis.

        10.1 An Orthonormal Basis for L2(T).

        10.2 Closed Invariant Subspaces of L2(T).

        10.3 Schwartz Functions: Fourier Transform and Inversion.

        10.4 Closed, Invariant Subspaces of L2(R).

        10.5 Irreducibility of L2(R) Under Translations and Rotations.

        Appendix A: The Banach-Tarski Theorem.

        A.1 The Limits to Countable Additivity.

        References.

        Index.

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