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Geometric Aspects of Functional Analysis : Israel Seminar (GAFA) 2017-2019 Volume II / edited by Bo'az Klartag, Emanuel Milman
(Lecture Notes in Mathematics. ISSN:16179692 ; 2266)

Edition 1st ed. 2020.
Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2020
Language English
Size X, 348 p. 8 illus., 1 illus. in color : online resource
Authors Klartag, Bo'az editor
Milman, Emanuel editor
SpringerLink (Online service)
Subjects LCSH:Functional analysis
LCSH:Convex geometry 
LCSH:Discrete geometry
LCSH:Probabilities
FREE:Functional Analysis
FREE:Convex and Discrete Geometry
FREE:Probability Theory
Notes Continuing the theme of the previous volume, these seminar notes reflect general trends in the study of Geometric Aspects of Functional Analysis, understood in a broad sense. Two classical topics represented are the Concentration of Measure Phenomenon in the Local Theory of Banach Spaces, which has recently had triumphs in Random Matrix Theory, and the Central Limit Theorem, one of the earliest examples of regularity and order in high dimensions. Central to the text is the study of the Poincaré and log-Sobolev functional inequalities, their reverses, and other inequalities, in which a crucial role is often played by convexity assumptions such as Log-Concavity. The concept and properties of Entropy form an important subject, with Bourgain's slicing problem and its variants drawing much attention. Constructions related to Convexity Theory are proposed and revisited, as well as inequalities that go beyond the Brunn–Minkowski theory. One of the major current research directions addressed is the identification of lower-dimensional structures with remarkable properties in rather arbitrary high-dimensional objects. In addition to functional analytic results, connections to Computer Science and to Differential Geometry are also discussed.
HTTP:URL=https://doi.org/10.1007/978-3-030-46762-3
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Springer eBooks 9783030467623
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EB00223735

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Material Type E-Book
Classification LCC:QA319-329.9
DC23:515.7
ID 4000135672
ISBN 9783030467623

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