- Series
- Stochastics Seminar
- Time
- Thursday, March 3, 2016 - 3:05pm for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Arnaud Marsiglietti – IMA, University of Minnesota
- Organizer
- Galyna Livshyts
In the late 80's, several relationships have been established
between the Information Theory and Convex Geometry, notably
through the pioneering work of Costa, Cover, Dembo and Thomas.
In this talk, we will focus on one particular relationship. More
precisely, we will focus on the following conjecture of Bobkov,
Madiman, and Wang (2011), seen as the analogue of the
monotonicity of entropy in the Brunn-Minkowski theory:
The inequality
|A1+⋯+Ak|1/n≥1k−1k∑i=1|∑j∈{1,…,k}∖{i}Aj|1/n,
holds for every compact sets A1,…,Ak⊂Rn. Here, |⋅| denotes Lebesgue measure in
Rn and A+B={a+b:a∈A,b∈B} denotes
the Minkowski sum of A and B.
(Based on a joint work with M. Fradelizi, M. Madiman, and A.
Zvavitch.)