Asymptotic theory of finite dimensional normed spaces - Info and Reading Options
By Vitali D. Milman

"Asymptotic theory of finite dimensional normed spaces" was published by Springer-Verlag in 1986 - Berlin, it has 156 pages and the language of the book is English.
“Asymptotic theory of finite dimensional normed spaces” Metadata:
- Title: ➤ Asymptotic theory of finite dimensional normed spaces
- Author: Vitali D. Milman
- Language: English
- Number of Pages: 156
- Publisher: Springer-Verlag
- Publish Date: 1986
- Publish Location: Berlin
“Asymptotic theory of finite dimensional normed spaces” Subjects and Themes:
- Subjects: ➤ Convex sets - Limit theorems (Probability theory) - Normed linear spaces - Probabilities - Mathematics - Global analysis (Mathematics) - Discrete groups - Analysis - Convex and Discrete Geometry
Edition Specifications:
- Pagination: viii, 156 p. :
Edition Identifiers:
- The Open Library ID: OL2724218M - OL5268102W
- Online Computer Library Center (OCLC) ID: 14002325
- Library of Congress Control Number (LCCN): 86017871 - 2001020977
- ISBN-10: 3540167692 - 0387167692
- All ISBNs: 3540167692 - 0387167692
AI-generated Review of “Asymptotic theory of finite dimensional normed spaces”:
"Asymptotic theory of finite dimensional normed spaces" Description:
The Open Library:
Vol. 1200 of the LNM series deals with the geometrical structure of finite dimensional normed spaces. One of the main topics is the estimation of the dimensions of euclidean and l n p spaces which nicely embed into diverse finite-dimensional normed spaces. An essential method here is the concentration of measure phenomenon which is closely related to large deviation inequalities in Probability on the one hand, and to isoperimetric inequalities in Geometry on the other. The book contains also an appendix, written by M. Gromov, which is an introduction to isoperimetric inequalities on riemannian manifolds. Only basic knowledge of Functional Analysis and Probability is expected of the reader. The book can be used (and was used by the authors) as a text for a first or second graduate course. The methods used here have been useful also in areas other than Functional Analysis (notably, Combinatorics).
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