Title:
Concentration and Convexity - Part 2

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Author(s)
Paouris, Grigoris
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Abstract
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.
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Date Issued
2019-12
Extent
54:20 minutes
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Moving Image
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Lecture
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