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.