It was recently observed that asymptotic theory of high-dimensional convexity is extended in a very broad sense to the category of log-concave measures, and moreover, this extension is needed to understand and to solve some problems of asymptotic theory of high-dimensional convexity proper. Many important geometric inequalities were interpreted and extended to such category. On the other hand, some typical probabilisitic results are interpreted and proved in a geometric framework. Even more importantly, such extension to the log-concave category was needed to solve some central problems of a purely geometric nature. The goal of this article is to outline this development and to demonstrate examples of results which confirm this picture.
%0 Book Section
%1 Milman2008
%A Milman, Vitali D.
%B Geometry and Dynamics of Groups and Spaces: In Memory of Alexander Reznikov
%C Basel
%D 2008
%E Kapranov, Mikhail
%E Manin, Yuri Ivanovich
%E Moree, Pieter
%E Kolyada, Sergiy
%E Potyagailo, Leonid
%I Birkhäuser Basel
%K 2008 article geometry probability springer
%P 647--667
%R 10.1007/978-3-7643-8608-5_15
%T Geometrization of Probability
%U https://doi.org/10.1007/978-3-7643-8608-5_15
%X It was recently observed that asymptotic theory of high-dimensional convexity is extended in a very broad sense to the category of log-concave measures, and moreover, this extension is needed to understand and to solve some problems of asymptotic theory of high-dimensional convexity proper. Many important geometric inequalities were interpreted and extended to such category. On the other hand, some typical probabilisitic results are interpreted and proved in a geometric framework. Even more importantly, such extension to the log-concave category was needed to solve some central problems of a purely geometric nature. The goal of this article is to outline this development and to demonstrate examples of results which confirm this picture.
%@ 978-3-7643-8608-5
@inbook{Milman2008,
abstract = {It was recently observed that asymptotic theory of high-dimensional convexity is extended in a very broad sense to the category of log-concave measures, and moreover, this extension is needed to understand and to solve some problems of asymptotic theory of high-dimensional convexity proper. Many important geometric inequalities were interpreted and extended to such category. On the other hand, some typical probabilisitic results are interpreted and proved in a geometric framework. Even more importantly, such extension to the log-concave category was needed to solve some central problems of a purely geometric nature. The goal of this article is to outline this development and to demonstrate examples of results which confirm this picture.},
added-at = {2018-06-17T13:53:44.000+0200},
address = {Basel},
author = {Milman, Vitali D.},
biburl = {https://www.bibsonomy.org/bibtex/210379217a5731392bdf876567da2208e/achakraborty},
booktitle = {Geometry and Dynamics of Groups and Spaces: In Memory of Alexander Reznikov},
description = {Geometrization of Probability | SpringerLink},
doi = {10.1007/978-3-7643-8608-5_15},
editor = {Kapranov, Mikhail and Manin, Yuri Ivanovich and Moree, Pieter and Kolyada, Sergiy and Potyagailo, Leonid},
interhash = {ffe693844dd9ea75e70c4958994ae49c},
intrahash = {10379217a5731392bdf876567da2208e},
isbn = {978-3-7643-8608-5},
keywords = {2008 article geometry probability springer},
pages = {647--667},
publisher = {Birkh{\"a}user Basel},
timestamp = {2018-06-17T13:53:44.000+0200},
title = {Geometrization of Probability},
url = {https://doi.org/10.1007/978-3-7643-8608-5_15},
year = 2008
}