Bounding marginals of product measures

Series
Analysis Seminar
Time
Wednesday, April 5, 2017 - 2:05pm for 1 hour (actually 50 minutes)
Location
Skiles 005
Speaker
Galyna Livshyts – Georgia Tech
Organizer
Shahaf Nitzan
It was shown by Keith Ball that the maximal section of an n-dimensional cube is \sqrt{2}. We show the analogous sharp bound for a maximal marginal of a product measure with bounded density. We also show an optimal bound for all k-codimensional marginals in this setting, conjectured by Rudelson and Vershynin. This bound yields a sharp small ball inequality for the length of a projection of a random vector. This talk is based on the joint work with G. Paouris and P. Pivovarov.