The quantitative isoperimetric inequality for the Gaussian measure

Nicola Fusco
University of Naples and Carnegie Mellon University
fusco@andrew.cmu.edu

Abstract: Gaussian isoperimetric inequality plays a central role in Probability. Here we present an analytical, i.e. non probabilistic, proof of the isoperimetric Gaussian inequality together with a sharp quantitative estimate.