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Geometric Aspects of Functional Analysis = Israel Seminar (GAFA) 2017-2019 Volume II /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Geometric Aspects of Functional Analysis/ edited by Bo'az Klartag, Emanuel Milman.
其他題名:	Israel Seminar (GAFA) 2017-2019 Volume II /
其他作者:	Milman, Emanuel.
面頁冊數:	X, 348 p. 8 illus., 1 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Probability Theory and Stochastic Processes. -
電子資源:	https://doi.org/10.1007/978-3-030-46762-3
ISBN:	9783030467623

Geometric Aspects of Functional Analysis = Israel Seminar (GAFA) 2017-2019 Volume II /
Geometric Aspects of Functional AnalysisIsrael Seminar (GAFA) 2017-2019 Volume II /[electronic resource] :edited by Bo'az Klartag, Emanuel Milman. - 1st ed. 2020. - X, 348 p. 8 illus., 1 illus. in color.online resource. - Lecture Notes in Mathematics,22660075-8434 ;. - Lecture Notes in Mathematics,2144.

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. .

ISBN: 9783030467623

Standard No.: 10.1007/978-3-030-46762-3doiSubjects--Topical Terms:

593945
Probability Theory and Stochastic Processes.

LC Class. No.: QA319-329.9

Dewey Class. No.: 515.7

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