Geometry of isotropic convex bodies
著者
書誌事項
Geometry of isotropic convex bodies
(Mathematical surveys and monographs, v. 196)
American Mathematical Society, c2014
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注記
Includes bibliographical references (p. 565-583) and index
内容説明・目次
内容説明
The study of high-dimensional convex bodies from a geometric and analytic point of view, with an emphasis on the dependence of various parameters on the dimension stands at the intersection of classical convex geometry and the local theory of Banach spaces. It is also closely linked to many other fields, such as probability theory, partial differential equations, Riemannian geometry, harmonic analysis and combinatorics. It is now understood that the convexity assumption forces most of the volume of a high-dimensional convex body to be concentrated in some canonical way and the main question is whether, under some natural normalisation, the answer to many fundamental questions should be independent of the dimension.
The aim of this book is to introduce a number of well-known questions regarding the distribution of volume in high-dimensional convex bodies, which are exactly of this nature: among them are the slicing problem, the thin-shell conjecture and the Kannan-Lovasz-Simonovits conjecture. This book provides a self-contained and up to date account of the progress that has been made in the last fifteen years.
目次
Background from asymptotic convex geometry
Isotropic log-concave measures
Hyperplane conjecture and Bourgain's upper bound
Partial answers
L q -centroid bodies and concentration of mass
Bodies with maximal isotropic constant
Logarithmic Laplace transform and the isomorphic slicing problem
Tail estimates for linear functionals
M and M? *-estimates
Approximating the covariance matrix
Random polytopes in isotropic convex bodies
Central limit problem and the thin shell conjecture
The thin shell estimate
Kannan-Lovasz-Simonovits conjecture
Infimum convolution inequalities and concentration
Information theory and the hyperplane conjecture
Bibliography
Subject index
Author index
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