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Functional Analysis : An Elementary Introduction
发布日期:2015-12-18  浏览

Functional Analysis : An Elementary Introduction

[Book Description]

This book introduces functional analysis at an elementary level without assuming any background in real analysis, for example on metric spaces or Lebesgue integration. It focuses on concepts and methods relevant in applied contexts such as variational methods on Hilbert spaces, Neumann series, eigenvalue expansions for compact self-adjoint operators, weak differentiation and Sobolev spaces on intervals, and model applications to differential and integral equations. Beyond that, the final chapters on the uniform boundedness theorem, the open mapping theorem and the Hahn-Banach theorem provide a stepping-stone to more advanced texts. The exposition is clear and rigorous, featuring full and detailed proofs. Many examples illustrate the new notions and results. Each chapter concludes with a large collection of exercises, some of which are referred to in the margin of the text, tailor-made in order to guide the student digesting the new material. Optional sections and chapters supplement the mandatory parts and allow for modular teaching spanning from basic to honors track level.

[Table of Contents]
Preface                                            xiii
    Chapter 1 Inner Product Spaces                 1   (14)
      §1.1 Inner Products                     3   (3)
      §1.2 Orthogonality                      6   (4)
      §1.3 The Trigonometric System           10  (5)
        Exercises                                  11  (4)
    Chapter 2 Normed Spaces                        15  (22)
      §2.1 CThe Cauchy--Schwarz Inequality    15  (3)
      and the Space l2
      §2.2 Norms                              18  (3)
      §2.3 Bounded Linear Mappings            21  (2)
      §2.4 Basic Examples                     23  (5)
      §2.5 The P-Spaces (1 ≤ p <        28  (9)
      ∞)
        Exercises                                  31  (6)
    Chapter 3 Distance and Approximation           37  (18)
      §3.1 Metric Spaces                      37  (2)
      §3.2 Convergence                        39  (2)
      §3.3 Uniform, Pointwise and (Square)    41  (6)
      Mean Convergence
      §3.4 The Closure of a Subset            47  (8)
        Exercises                                  50  (5)
    Chapter 4 Continuity and Compactness           55  (24)
      §4.1 Open and Closed Sets               55  (3)
      §4.2 Continuity                         58  (6)
      §4.3 Sequential Compactness             64  (2)
      §4.4 Equivalence of Norms               66  (5)
      §4.5 *Separability and General          71  (8)
      Compactness
        Exercises                                  74  (5)
    Chapter 5 Banach Spaces                        79  (14)
      §5.1 Cauchy Sequences and               79  (2)
      Completeness
      §5.2 Hilbert Spaces                     81  (3)
      §5.3 Banach Spaces                      84  (2)
      §5.4 Series in Banach Spaces            86  (7)
        Exercises                                  88  (5)
    Chapter 6 *The Contraction Principle           93  (14)
      §6.1 Banach's Contraction Principle     94  (1)
      §6.2 Application: Ordinary              95  (3)
      Differential Equations
      §6.3 Application: Google's PageRank     98  (2)
      §6.4 Application: The Inverse           100 (7)
      Mapping Theorem
        Exercises                                  104 (3)
    Chapter 7 The Lebesgue Spaces                  107 (22)
      §7.1 The Lebesgue Measure               110 (3)
      §7.2 The Lebesgue Integral and the      113 (2)
      Space L1(X)
      §7.3 Null Sets                          115 (3)
      §7.4 The Dominated Convergence          118 (3)
      Theorem
      §7.5 The Spaces LP(X) with 1 ≤ p     121 (8)
      < ∞
        Advice for the Reader                      125 (1)
        Exercises                                  126 (3)
    Chapter 8 Hilbert Space Fundamentals           129 (18)
      §8.1 Best Approximations                129 (4)
      §8.2 Orthogonal Projections             133 (2)
      §8.3 The Riesz--Frechet Theorem         135 (2)
      §8.4 Orthogonal Series and Abstract     137 (10)
      Fourier Expansions
        Exercises                                  141 (6)
    Chapter 9 Approximation Theory and Fourier     147 (30)
    Analysis
      §9.1 Lebesgue's Proof of                149 (2)
      Weierstrass' Theorem
      §9.2 Truncation                         151 (5)
      §9.3 Classical Fourier Series           156 (5)
      §9.4 Fourier Coefficients of            161 (1)
      L1-Functions
      §9.5 The Riemann--Lebesgue Lemma        162 (2)
      §9.6 *The Strong Convergence Lemma      164 (4)
      and Fejer's Theorem
      §9.7 *Extension of a Bounded Linear     168 (9)
      Mapping
        Exercises                                  172 (5)
    Chapter 10 Sobolev Spaces and the Poisson      177 (16)
    Problem
      §10.1 Weak Derivatives                  177 (2)
      §10.2 The Fundamental Theorem of        179 (3)
      Calculus
      §10.3 Sobolev Spaces                    182 (2)
      §10.4 The Variational Method for the    184 (3)
      Poisson Problem
      §10.5 *Poisson's Problem in Higher      187 (6)
      Dimensions
        Exercises                                  188 (5)
    Chapter 11 Operator Theory I                   193 (18)
      §11.1 Integral Operators and            193 (3)
      Fubini's Theorem
      §11.2. The Dirichlet Laplacian and      196 (3)
      Hilbert--Schmidt Operators
      §11.3 Approximation of Operators        199 (3)
      §11.4 The Neumann Series                202 (9)
        Exercises                                  205 (6)
    Chapter 12 Operator Theory II                  211 (20)
      §12.1 Compact Operators                 211 (5)
      §12.2 Adjoints of Hilbert Space         216 (3)
      Operators
      §12.3 *The Lax--Milgram Theorem         219 (2)
      §12.4 *Abstract Hilbert--Schmidt        221 (10)
      Operators
        Exercises                                  226 (5)
    Chapter 13 Spectral Theory of Compact          231 (16)
    Self-Adjoint Operators
      §13.1 Approximate Eigenvalues           231 (3)
      §13.2 Self-Adjoint Operators            234 (2)
      §13.3 The Spectral Theorem              236 (4)
      §13.4 *The General Spectral Theorem     240 (7)
        Exercises                                  241 (6)
    Chapter 14 Applications of the Spectral        247 (14)
    Theorem
      §14.1 The Dirichlet Laplacian           247 (2)
      §14.2 The Schrodinger Operator          249 (3)
      §14.3 An Evolution Equation             252 (2)
      §14.4 *The Norm of the Integration      254 (2)
      Operator
      §14.5 *The Best Constant in the         256 (5)
      Poincare Inequality
        Exercises                                  257 (4)
    Chapter 15 Baire's Theorem and Its             261 (16)
    Consequences
      §15.1 Baire's Theorem                   261 (2)
      §15.2 The Uniform Boundedness           263 (3)
      Principle
      §15.3 Nonconvergence of Fourier         266 (1)
      Series
      §15.4 The Open Mapping Theorem          267 (4)
      §15.5 Applications with a Look Back     271 (6)
        Exercises                                  274 (3)
    Chapter 16 Duality and the Hahn--Banach        277 (28)
    Theorem
      §16.1 Extending Linear Functionals      278 (6)
      §16.2 Elementary Duality Theory         284 (5)
      §16.3 Identification of Dual Spaces     289 (6)
      §16.4 *The Riesz Representation         295 (10)
      Theorem
        Exercises                                  299 (6)
  Historical Remarks                               305 (50)
      Appendix A Background                        311 (22)
        §A.1 Sequences and Subsequences       311 (1)
        §A.2 Equivalence Relations            312 (2)
        §A.3 Ordered Sets                     314 (2)
        §A.4 Countable and Uncountable Sets   316 (1)
        §A.5 Real Numbers                     316 (5)
        §A.6 Complex Numbers                  321 (1)
        §A.7 Linear Algebra                   322 (7)
        §A.8 Set-theoretic Notions            329 (4)
      Appendix B The Completion of a Metric        333 (6)
      Space
        §B.1 Uniqueness of a Completion       334 (1)
        §B.2 Existence of a Completion        335 (2)
        §B.3 The Completion of a Normed       337 (1)
        Space
        Exercises                                  338 (1)
      Appendix C Bernstein's Proof of              339 (4)
      Weierstrass' Theorem
      Appendix D Smooth Cutoff Functions           343 (2)
      Appendix E Some Topics from Fourier          345 (6)
      Analysis
        §E.1 Plancherel's Identity            346 (1)
        §E.2 The Fourier Inversion Formula    347 (1)
        §E.3 The Carlson--Beurling            348 (1)
        Inequality
        Exercises                                  349 (2)
      Appendix F General Orthonormal Systems       351 (4)
        §F.1 Unconditional Convergence        351 (2)
        §F.2 Uncountable Orthonormal Bases    353 (2)
Bibliography                                       355 (4)
Symbol Index                                       359 (2)
Subject Index                                      361 (10)
Author Index                                       371

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