Campuses:

Localization in Infinite Dimensions

Tuesday, January 27, 2015 - 2:00pm - 3:00pm
Lind 305
James Melbourne (University of Minnesota, Twin Cities)
In the context of Convex Geometry or Probability, the term localization
refers to a technique which reduces an n-dimensional integral inequality on R^n
to a related one dimensional inequality on R. Localization is particularly of
interest in the context of high-dimensional phenomena, as it obtains results
solely in terms of a parameter of the measure's concavity. We will discuss
a generalizations of this technique to infinite dimensional spaces, as well as
applications.