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Convex Geometric Analysis (Mathematical Sciences Research Institute Publications)
 
 
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Convex Geometric Analysis (Mathematical Sciences Research Institute Publications) [Hardcover]

Keith M. Ball (Editor), Vitali Milman (Editor)

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Book Description

Mathematical Sciences Research Institute Publications January 28, 1999
Convex bodies are at once simple and amazingly rich in structure. While the classical results go back many decades, during the past ten years the integral geometry of convex bodies has undergone a dramatic revitalization, brought about by the introduction of methods, results and, most importantly, new viewpoints, from probability theory, harmonic analysis and the geometry of finite-dimensional normed spaces. This collection arises from an MSRI program held in the Spring of 1996, involving researchers in classical convex geometry, geometric functional analysis, computational geometry, and related areas of harmonic analysis. It is representative of the best research in a very active field that brings together ideas from several major strands in mathematics.

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Review of the hardback: '... a useful source of inspiration for mathematicians working in convex geometry and functional analysis.' European Mathematical Society

Book Description

Convex bodies are at once simple and amazingly rich in their structure. While the classical results go back many decades, during the last ten years the integral geometry of convex bodies has undergone a dramatic revitalization, brought about by the introduction of methods, results and, most importantly, new viewpoints, from probability theory, harmonic analysis and the geometry of finite-dimensional normed spaces.This collection arises from an MSRI program held in the Spring of 1996, involving researchers in classical convex geometry, geometric functional analysis, computational geometry, and related areas of harmonic analysis. It is representative of the best research in a very active field that brings together ideas from several major strands in mathematics.

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Inside This Book (learn more)
First Sentence:
Let K = (K1, K2,..., Ks) be an s-tuple of compact convex subsets of Rn. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
asymptotic subsets, tail subspaces, polynomial valuation, centered convex body, polytope approximations, convex restriction, convolution bodies, asymptotic sets, normalised images, shrinking basis, block subspace, asymptotic spaces, asymptotic versions, isotropic position, admission set, normalised vector, infinite dimensional subspaces, singular operators, convex geometry, convex bodies, metric entropy, euclidean ball, threshold interval, operator ideal, regular simplex
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Publications Volume, Lecture Notes, Cambridge University Press, Convex Geometric Analysis, New York, Operator Theory, London Math, Acta Math, Duke Math, Israel Seminar, Mathematics Subject Classification, Monte Carlo, Studia Math, Academic Press, Annals of Math, Approximation Theory
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