Real Analysis / Edition 3

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0024041513 New. Has the slightest of shelf wear (like you might see in a major bookstore chain). Looks like an interesting title! We provide domestic tracking upon request, ... provide personalized customer service and want you to have a great experience purchasing from us. 100% satisfaction guaranteed and thank you for your consideration. Read more Show Less

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This is the classic introductory graduate text. Heart of the book is measure theory and Lebesque integration.
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Product Details

  • ISBN-13: 9780024041517
  • Publisher: Pearson
  • Publication date: 2/2/1988
  • Edition description: REV
  • Edition number: 3
  • Pages: 444
  • Product dimensions: 5.90 (w) x 9.20 (h) x 1.10 (d)

Table of Contents


1. The Real Numbers: Sets, Sequences and Functions

1.1 The Field, Positivity and Completeness Axioms

1.2 The Natural and Rational Numbers

1.3 Countable and Uncountable Sets

1.4 Open Sets, Closed Sets and Borel Sets of Real Numbers

1.5 Sequences of Real Numbers

1.6 Continuous Real-Valued Functions of a Real Variable

2. Lebesgue Measure

2.1 Introduction

2.2 Lebesgue Outer Measure

2.3 The σ-algebra of Lebesgue Measurable Sets

2.4 Outer and Inner Approximation of Lebesgue Measurable Sets

2.5 Countable Additivity and Continuity of Lebesgue Measure

2.6 Nonmeasurable Sets

2.7 The Cantor Set and the Cantor-Lebesgue Function

3. Lebesgue Measurable Functions

3.1 Sums, Products and Compositions

3.2 Sequential Pointwise Limits and Simple Approximation

3.3 Littlewood's Three Principles, Egoroff's Theorem and Lusin's Theorem

4. Lebesgue Integration

4.1 The Riemann Integral

4.2 The Lebesgue Integral of a Bounded Measurable Function over a Set of Finite Measure

4.3 The Lebesgue Integral of a Measurable Nonnegative Function

4.4 The General Lebesgue Integral

4.5 Countable Additivity and Continuity of Integraion

4.6 Uniform Integrability: The Vitali Convergence Theorem

5. Lebesgue Integration: Further Topics

5.1 Uniform Integrability and Tightness: A General Vitali Convergence Theorem

5.2 Convergence in measure

5.3 Characterizations of Riemann and Lebesgue Integrability

6. Differentiation and Integration

6.1 Continuity of Monotone Functions

6.2 Differentiability of Monotone Functions: Lebesgue's Theorem

6.3 Functions of Bounded Variation: Jordan's Theorem

6.4 Absolutely Continuous Functions

6.5 Integrating Derivatives: Differentiating Indefinite Integrals

6.6 Convex Functions

7. The LΡ Spaces: Completeness and Approximation

7.1 Normed Linear Spaces

7.2 The Inequalities of Young, Hölder and Minkowski

7.3 LΡ is Complete: The Riesz-Fischer Theorem

7.4 Approximation and Separability

8. The LΡ Spaces: Duality and Weak Convergence

8.1 The Dual Space of LΡ

8.2 Weak Sequential Convergence in LΡ

8.3 Weak Sequential Compactness

8.4 The Minimization of Convex Functionals


9. Metric Spaces: General Properties

9.1 Examples of Metric Spaces

9.2 Open Sets, Closed Sets and Convergent Sequences

9.3 Continuous Mappings Between Metric Spaces

9.4 Complete Metric Spaces

9.5 Compact Metric Spaces

9.6 Separable Metric Spaces

10. Metric Spaces: Three Fundamental Theorems

10.1 The Arzelà-Ascoli Theorem

10.2 The Baire Category Theorem

10.3 The Banach Contraction Principle

11. Topological Spaces: General Properties

11.1 Open Sets, Closed Sets, Bases and Subbases

11.2 The Separation Properties

11.3 Countability and Separability

11.4 Continuous Mappings Between Topological Spaces

11.5 Compact Topological Spaces

11.6 Connected Topological Spaces

12. Topological Spaces: Three Fundamental Theorems

12.1 Urysohn's Lemma and the Tietze Extension Theorem

12.2 The Tychonoff Product Theorem

12.3 The Stone-Weierstrass Theorem

13. Continuous Linear Operators Between Banach Spaces

13.1 Normed Linear Spaces

13.2 Linear Operators

13.3 Compactness Lost: Infinite Dimensional Normed Linear Spaces

13.4 The Open Mapping and Closed Graph Theorems

13.5 The Uniform Boundedness Principle

14. Duality for Normed Linear Spaces

14.1 Linear Functionals, Bounded Linear Functionals and Weak Topologies

14.2 The Hahn-Banach Theorem

14.3 Reflexive Banach Spaces and Weak Sequential Convergence

14.4 Locally Convex Topological Vector Spaces

14.5 The Separation of Convex Sets and Mazur's Theorem

14.6 The Krein-Milman Theorem

15. Compactness Regained: The Weak Topology

15.1 Alaoglu's Extension of Helley's Theorem

15.2 Reflexivity and Weak Compactness: Kakutani's Theorem

15.3 Compactness and Weak Sequential Compactness: The Eberlein-Šmulian Theorem

15.4 Metrizability of Weak Topologies

16. Continuous Linear Operators on Hilbert Spaces

16.1 The Inner Product and Orthogonality

16.2 The Dual Space and Weak Sequential Convergence

16.3 Bessel's Inequality and Orthonormal Bases

16.4 Adjoints and Symmetry for Linear Operators

16.5 Compact Operators

16.6 The Hilbert Schmidt Theorem

16.7 The Riesz-Schauder Theorem: Characterization of Fredholm Operators


17. General Measure Spaces: Their Properties and Construction

17.1 Measures and Measurable Sets

17.2 Signed Measures: The Hahn and Jordan Decompositions

17.3 The Carathéodory Measure Induced by an Outer Measure

17.4 The Construction of Outer Measures

17.5 The Carathéodory-Hahn Theorem: The Extension of a Premeasure to a Measure

18. Integration Over General Measure Spaces

18.1 Measurable Functions

18.2 Integration of Nonnegative Measurable Functions

18.3 Integration of General Measurable Functions

18.4 The Radon-Nikodym Theorem

18.5 The Saks Metric Space: The Vitali-Hahn-Saks Theorem

19. General LΡ Spaces: Completeness, Duality and Weak Convergence

19.1 The Completeness of LΡ ( Χ, μ), 1 ≤ Ρ ≤ ∞

19.2 The Riesz Representation theorem for the Dual of LΡ ( Χ, μ), 1 ≤ Ρ ≤ ∞

19.3 The Kantorovitch Representation Theorem for the Dual of L (Χ, μ)

19.4 Weak Sequential Convergence in LΡ (X, μ), 1 < Ρ < 1

19.5 Weak Sequential Compactness in L1 (X, μ): The Dunford-Pettis Theorem

20. The Construction of Particular Measures

20.1 Product Measures: The Theorems of Fubini and Tonelli

20.2 Lebesgue Measure on Euclidean Space Rn

20.3 Cumulative Distribution Functions and Borel Measures on R

20.4 Carathéodory Outer Measures and hausdorff Measures on a Metric Space

21. Measure and Topology

21.1 Locally Compact Topological Spaces

21.2 Separating Sets and Extending Functions

21.3 The Construction of Radon Measures

21.4 The Representation of Positive Linear Functionals on Cc (X): The Riesz-Markov Theorem

21.5 The Riesz Representation Theorem for the Dual of C(X)

21.6 Regularity Properties of Baire Measures

22. Invariant Measures

22.1 Topological Groups: The General Linear Group

22.2 Fixed Points of Representations: Kakutani's Theorem

22.3 Invariant Borel Measures on Compact Groups: von Neumann's Theorem

22.4 Measure Preserving Transformations and Ergodicity: the Bogoliubov-Krilov Theorem

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  • Anonymous

    Posted September 2, 2005

    Don't make me laugh!

    I have been a student of Analysis for several years and have done research in PDE's and mathematical physics as well as TA'd PDE's and analysis courses and let me tell you...This book is an aweful treatment of this beautiful subject. I admit that some students respond well to the concise (but boring) exposition but this subject is really capable of coming to life. Royden convinces the first time reader otherwise. Professors who choose this book to teach from are most likely as insipid as it. Not recommended.

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  • Anonymous

    Posted February 7, 2001

    A great textbook

    This is a wonderful book from which to learn real analysis. It is one of the few texts that first treats Lebesgue measure on R before presenting general measure theory. That makes it much easier to learn. The exercises are also pretty hard, and that is a good thing.

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  • Anonymous

    Posted December 16, 1999

    What a waste of paper

    It is indeed very unfortunate that this book is still in print, while so many other excellent books are not. The first edition of this book was published many years ago, but this new edition is not an improvement. The book is easy to read, but dull and boring. Also, many important results are not included or are placed in the exercises. Some proofs are very weak. The second part of the book is even worse. This is a very lousy reference book, and an awful book to study from. Definitely not recommended to anyone.

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