漸近幾何分析 (第Ⅰ部分) (英文) 希里.阿特斯坦-阿維丹 9787040612578 【台灣高等教育出版社】

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書名:漸近幾何分析 (第Ⅰ部分) (英文)
ISBN:9787040612578
出版社:高等教育
著編譯者:希里.阿特斯坦-阿維丹
頁數:451
所在地:中國大陸 *此為代購商品
書號:1625183
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內容簡介

作者簡介

了漸近幾何分析理論,這是一個介於幾何學與泛函分析之間的領域。在這個領域中,「同構」的觀點取代了低維幾何的典型等距問題,並引入了漸近方法(當維數趨於無窮時)。幾何和分析在這裏以一種非平凡的方式相遇。書中遇到的同構形式幾何不等式的基本例子是「同構等距不等式」,它導致了「集中現象」的發現,這是該理論最強大的工具之一,由此得到了許多反直覺的結果。 本書的核心主題是隨機性和模式的相互作用。乍一看,高維的生命似乎意味著存在多種「可能性」,因此人們可以預期,隨著維度的增加,多樣性和複雜性也會增加。然而,測量的集中和由凸性引起的效應表明,對於由高維引起的混合體中的任意凸體,這種多樣性得到了補償,並且產生了秩序和模式。 本書面向想要了解這個令人興奮的主題的研究生和研究人員。書中涵蓋的主題包括凸性、集中現象、覆蓋數、Dvoretzky型定理、凸體中的體積分佈等。

目錄

Preface
Chapter 1 Convex bodies: classical geometric inequalities
1 1 Basic convexity
1 2 Brunn-Minkowski inequality
1 3 Volume preserving transformations
1 4 Functional forms
1 5 Applications of the Brunn-Minkowski inequality
1 6 Minkowski's problem
1 7 Notes and remarks
Chapter 2 Classical positions of convex bodies
2 1 John's theorem
2 2 Minimal mean width position
2 3 Minimal surface area position
2 4 Reverse isoperimetric inequality
2 5 Notes and remarks
Chapter 3 Isomorphic isoperimetric inequalities and concentration of measure
3 1 An approach through extremal sets, and the basic terminology
3 2 Deviation inequalities for Lipschitz functions on classical metric probability spaces
3 3 Concentration on homogeneous spaces
3 4 An approach through conditional expectation and martingales
3 5 Khintchine type inequalities
3 6 Raz's Lemma
3 7 Notes and remarks
Chapter 4 Metric entropy and covering numbers estimates
4 1 Covering numbers
4 2 Sudakov's inequality and its dual
4 3 Entropy numbers and approximation numbers
4 4 Duality of entropy
4 5 Notes and remarks
Chapter 5 Almost Euclidean subspaces of finite dimensional normed spaces
5 1 Dvoretzky type theorems
5 2 Milman's proof
5 3 The critical dimension k(X)
5 4 Euclidean subspaees of gp
5 5 Volume ratio and Kashin's theorem
5 6 Global form of the Dvoretzky-Milman theorem
5 7 Isomorphic phase transitions and thresholds
5 8 Small ball estimates
5 9 Dependence on E
5 10 Notes and remarks
Chapter 6 The g-position and the Rademacher projection
6 1 Hermite polynomials
6 2 Pisier's inequality
6 3 The Rademacher projection
6 4 The l-norm
6 5 The MM*-estimate
6 6 Equivalence of the two projections
6 7 Bourgain's example
6 8 Notes and remarks
Chapter 7 Proportional Theory
7 1 Introduction
7 2 First proofs of the M*-estimate
7 3 Proofs with the optimal dependence
7 4 Milman's quotient of subspace theorem
7 5 Asymptotic formulas for random sections
7 6 Linear duality relations
7 7 Notes and remarks
Chapter 8 M-position and the reverse Brunn-Minkowski inequality
8 1 Introduction
8 2 The Bourgain-Milman inequality
8 3 Isomorphic symmetrization
8 4 Milman's reverse Brunn-Minkowski inequality
8 5 Extension to the non-symmetric case
8 6 Applications of the M-position
8 7 α-regular M-position: Pisier's approach
8 8 Notes and remarks
Chapter 9 Ganssian approach
9 1 Dudley, and another look at Sudakov
9 2 Gaussian proof of Dvoretzky theorem
9 3 Gaussian proof of the M*-estimate
9 4 Random orthogonal factorizations
9 5 Comparison principles for Gaussian processes
9 6 Notes and remarks
Chapter 10 Volume distribution in convex bodies
10 1 Isotropic position
10 2 Isotropic log-concave measures
10 3 Bourgain's upper bound for the isotropic constant
10 4 Paouris' deviation inequality
10 5 The isomorphic slicing problem
10 6 A few technical inequalities for log-concave functions
10 7 Notes and remarks
Appendix A Elementary convexity
A 1 Basic convexity
A 2 Convex functions
A 3 Hausdorff distance
A 4 Compactness: Blaschke's selection theorem
A 5 Steiner symmetrization properties in detail
A 6 Notes and remarks
Appendix B Advanced convexity
B 1 Mixed volumes
B 2 The Alexandrov-Fenchel inequality
B 3 More geometric inequalities of "hyperbolic" type
B 4 Positive definite matrices and mixed discriminants
B 5 Steiner's formula and Kubota's formulae
B 6 Notes and remarks
Bibliography
Subject Index
Author Index

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