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Gauss测度(影印版)


暂无简介


作者:
Vladimir I. Bogachev

定价:
169.00 元

出版时间:
2026-03-27

ISBN:
978-7-04-066136-1

物料号:
66136-00

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

重点项目:
暂无

版面字数:
700千字

开本:
16开

装帧形式:
精装

页数:
暂无

最新
印次时间:
2026年01月
  • 目录
    • 前辅文
      • Preface
        • Chapter 1. Finite Dimensional Gaussian Distributions
          • 1.1. Gaussian measures on the real line
            • 1.2. Multivariate Gaussian distributions
              • 1.3. Hermite polynomials
                • 1.4. The Ornstein-Uhlenbeck semigroup
                  • 1.5. Sobolev classes
                    • 1.6. Hypercontractivity
                      • 1.7. Several useful estimates
                        • 1.8. Convexity inequalities
                          • 1.9. Characterizations of Gaussian measures
                            • 1.10. Complements and problems
                            • Chapter 2.Infinite Dimensional Gaussian Distributions
                              • 2.1. Cylindrical sets
                                • 2.2. Basic definitions
                                  • 2.3. Examples
                                    • 2.4. The Cameron-Martin space
                                      • 2.5. Zero-one laws
                                        • 2.6. Separability and oscillations
                                          • 2.7. Equivalence and singularity
                                            • 2.8. Measurable seminorms
                                              • 2.9. The Ornstein-Uhlenbeck semigroup
                                                • 2.10.Measurable linear functionals
                                                  • 2.11. Stochastic integrals
                                                    • 2.12. Complements and problems
                                                    • Chapter 3. Radon Gaussian Measures
                                                      • 3.1. Radon measures
                                                        • 3.2. Basic properties of Radon Gaussian measures
                                                          • 3.3. Gaussian covariances
                                                            • 3.4. The structure of Radon Gaussian measures
                                                              • 3.5. Gaussian series
                                                                • 3.6. Supports of Gaussian measures
                                                                  • 3.7. Measurable linear operators
                                                                    • 3.8. Weak convergence of Gaussian measures
                                                                      • 3.9. Abstract Wiener spaces
                                                                        • 3.10. Conditional measures and conditional expectations
                                                                          • 3.11. Complements and problems
                                                                          • Chapter 4. Convexity of Gaussian Measures
                                                                            • 4.1. Gaussian symmetrization
                                                                              • 4.2. Ehrhard's inequality
                                                                                • 4.3. Isoperimetric inequalities
                                                                                  • 4.4. Convex functions
                                                                                    • 4.5. H-Lipschitzian functions
                                                                                      • 4.6. Correlation inequalities
                                                                                        • 4.7. The Onsager-Machlup functions
                                                                                          • 4.8. Small ball probabilities
                                                                                            • 4.9. Large deviations
                                                                                              • 4.10. Complements and problems
                                                                                              • Chapter 5. Sobolev Classes over Gaussian Measures
                                                                                                • 5.1. Integration by parts
                                                                                                  • 5.2. The Sobolev classes Wp,r and Dp,n
                                                                                                    • 5.3. The Sobolev classes HP,r
                                                                                                      • 5.4. Properties of Sobolev classes and examples
                                                                                                        • 5.5. The logarithmic Sobolev inequality
                                                                                                          • 5.6. Multipliers and Meyer's inequalities
                                                                                                            • 5.7. Equivalence of different definitions
                                                                                                              • 5.8. Divergence of vector fields
                                                                                                                • 5.9. Gaussian capacities
                                                                                                                  • 5.10 Measurable polynomials
                                                                                                                    • 5.11. Differentiability of H-Lipschitzian functions
                                                                                                                      • 5.12. Complements and problems
                                                                                                                      • Chapter 6. Nonlinear Transformations of Gaussian Measures
                                                                                                                        • 6.1. Auxiliary results
                                                                                                                          • 6.2. Measurable linear automorphisms
                                                                                                                            • 6.3. Linear transformations
                                                                                                                              • 6.4. Radon-Nikodym densities
                                                                                                                                • 6.5. Examples of equivalent measures and linear transformations
                                                                                                                                  • 6.6. Nonlinear transformations
                                                                                                                                    • 6.7. Examples of nonlinear transformations
                                                                                                                                      • 6.8. Finite dimensional mappings
                                                                                                                                        • 6.9. Malliavin's method
                                                                                                                                          • 6.10. Surface measures
                                                                                                                                            • 6.11. Complements and problems
                                                                                                                                            • Chapter 7. Applications
                                                                                                                                              • 7.1. Trajectories of Gaussian processes
                                                                                                                                                • 7.2. Infinite dimensional Wiener processes
                                                                                                                                                  • 7.3. Logarithmic gradients
                                                                                                                                                    • 7.4. Spherically symmetric measures
                                                                                                                                                      • 7.5. Infinite dimensional diffusions
                                                                                                                                                        • 7.6. Complements and problems
                                                                                                                                                        • Appendix A. Locally Convex Spaces, Operators, and Measures
                                                                                                                                                          • A.1. Locally convex spaces
                                                                                                                                                            • A.2. Linear operators
                                                                                                                                                              • A.3. Measures and measurability
                                                                                                                                                              • Bibliographical Comments
                                                                                                                                                                • References
                                                                                                                                                                  • Index