Grigoris Paouris - Concentration and Convexity, Part 1

From Katie Gentilello December 12th, 2019

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The Concentration of measure phenomenon is a fundamental tool of high dimensional probability and of Asymptotic Geometric Analysis. Independence or Isoperimetry are two typical reasons for the appearance of this phenomenon. In these talks I will introduce the phenomenon and I will show how High dimensional Geometry affects the concentration. In particular I will explain how “convexity” can be used to establish strong concentration inequalities in the Gauss space and how the “convexity” of the underline measure is responsible for deviation principles.

Tags: school of mathematicsgeorgia techrecorded by gtlibraryfall 2019

name: Grigoris Paouris
Date: December 10th, 2019
Appears In: Open Scholarship

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Grigoris Paouris - Concentration and Convexity, Part 1

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