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实分析:分析综合教程(第1部分)(影印版)


作者:
Barry Simon
定价:
269.00 元
版面字数:
1350千字
开本:
特殊
装帧形式:
精装
版次:
1
最新版次
印刷时间:
2023年
ISBN:
978-7-04-059306-8
物料号:
59306-00
出版时间:
2023-03-24
读者对象:
学术著作
一级分类:
自然科学
二级分类:
数学与统计
三级分类:
分析

暂无
  • 目录
    • 前辅文
      • Chapter 1. Preliminaries
        • 1.1. Notation and Terminology
          • 1.2. Metric Spaces
            • 1.3. The Real Numbers
              • 1.4. Orders
                • 1.5. The Axiom of Choice and Zorn’s Lemma
                  • 1.6. Countability
                    • 1.7. Some Linear Algebra
                      • 1.8. Some Calculus
                      • Chapter 2. Topological Spaces
                        • 2.1. Lots of Definitions
                          • 2.2. Countability and Separation Properties
                            • 2.3. Compact Spaces
                              • 2.4. The Weierstrass Approximation Theorem and Bernstein Polynomials
                                • 2.5. The Stone–Weierstrass Theorem
                                  • 2.6. Nets
                                    • 2.7. Product Topologies and Tychonoff’s Theorem
                                      • 2.8. Quotient Topologies
                                      • Chapter 3. A First Look at Hilbert Spaces and Fourier Series
                                        • 3.1. Basic Inequalities
                                          • 3.2. Convex Sets, Minima, and Orthogonal Complements
                                            • 3.3. Dual Spaces and the Riesz Representation Theorem
                                              • 3.4. Orthonormal Bases, Abstract Fourier Expansions, and Gram–Schmidt
                                                • 3.5. Classical Fourier Series
                                                  • 3.6. The Weak Topology
                                                    • 3.7. A First Look at Operators
                                                      • 3.8. Direct Sums and Tensor Products of Hilbert Spaces
                                                      • Chapter 4. Measure Theory
                                                        • 4.1. Riemann–Stieltjes Integrals
                                                          • 4.2. The Cantor Set, Function, and Measure
                                                            • 4.3. Bad Sets and Good Sets
                                                              • 4.4. Positive Functionals and Measures via L1(X)
                                                                • 4.5. The Riesz–Markov Theorem
                                                                  • 4.6. Convergence Theorems; Lp Spaces
                                                                    • 4.7. Comparison of Measures
                                                                      • 4.8. Duality for Banach Lattices; Hahn and Jordan Decomposition
                                                                        • 4.9. Duality for Lp
                                                                          • 4.10. Measures on Locally Compact and σ-Compact Spaces
                                                                            • 4.11. Product Measures and Fubini’s Theorem
                                                                              • 4.12. Infinite Product Measures and Gaussian Processes
                                                                                • 4.13. General Measure Theory
                                                                                  • 4.14. Measures on Polish Spaces
                                                                                    • 4.15. Another Look at Functions of Bounded Variation
                                                                                      • 4.16. Bonus Section: Brownian Motion
                                                                                        • 4.17. Bonus Section: The Hausdorff Moment Problem
                                                                                          • 4.18. Bonus Section: Integration of Banach Space-Valued Functions
                                                                                            • 4.19. Bonus Section: Haar Measure on σ-Compact Groups
                                                                                            • Chapter 5. Convexity and Banach Spaces
                                                                                              • 5.1. Some Preliminaries
                                                                                                • 5.2. H¨older’s and Minkowski’s Inequalities: A Lightning Look
                                                                                                  • 5.3. Convex Functions and Inequalities
                                                                                                    • 5.4. The Baire Category Theorem and Applications
                                                                                                      • 5.5. The Hahn–Banach Theorem
                                                                                                        • 5.6. Bonus Section: The Hamburger Moment Problem
                                                                                                          • 5.7. Weak Topologies and Locally Convex Spaces
                                                                                                            • 5.8. The Banach–Alaoglu Theorem
                                                                                                              • 5.9. Bonus Section: Minimizers in Potential Theory
                                                                                                                • 5.10. Separating Hyperplane Theorems
                                                                                                                  • 5.11. The Krein–Milman Theorem
                                                                                                                    • 5.12. Bonus Section: Fixed Point Theorems and Applications
                                                                                                                    • Chapter 6. Tempered Distributions and the Fourier Transform
                                                                                                                      • 6.1. Countably Normed and Fr´echet Spaces
                                                                                                                        • 6.2. Schwartz Space and Tempered Distributions
                                                                                                                          • 6.3. Periodic Distributions
                                                                                                                            • 6.4. Hermite Expansions
                                                                                                                              • 6.5. The Fourier Transform and Its Basic Properties
                                                                                                                                • 6.6. More Properties of Fourier Transform
                                                                                                                                  • 6.7. Bonus Section: Riesz Products
                                                                                                                                    • 6.8. Fourier Transforms of Powers and Uniqueness of Minimizers in Potential Theory
                                                                                                                                      • 6.9. Constant Coefficient Partial Differential Equations
                                                                                                                                      • Chapter 7. Bonus Chapter: Probability Basics
                                                                                                                                        • 7.1. The Language of Probability
                                                                                                                                          • 7.2. Borel–Cantelli Lemmas and the Laws of Large Numbers and of the Iterated Logarithm
                                                                                                                                            • 7.3. Characteristic Functions and the Central Limit Theorem
                                                                                                                                              • 7.4. Poisson Limits and Processes
                                                                                                                                                • 7.5. Markov Chains
                                                                                                                                                • Chapter 8. Bonus Chapter: Hausdorff Measure and Dimension
                                                                                                                                                  • 8.1. The Carath´eodory Construction
                                                                                                                                                    • 8.2. Hausdorff Measure and Dimension
                                                                                                                                                    • Chapter 9. Bonus Chapter: Inductive Limits and Ordinary Distributions
                                                                                                                                                      • 9.1. Strict Inductive Limits
                                                                                                                                                        • 9.2. Ordinary Distributions and Other Examples of Strict Inductive Limits
                                                                                                                                                        • Bibliography
                                                                                                                                                          • Symbol Index
                                                                                                                                                            • Subject Index
                                                                                                                                                              • Author Index
                                                                                                                                                                • Index of Capsule Biographies

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