Grigoris Paouris - Concentration and Convexity, Part 1
From Katie Gentilello
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.