Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a mathematical lecture examining the extension of Gilles Pisier's methodology for studying measure concentration, isoperimetry, and Poincare-type inequalities. Delve into how this approach enables investigation of various results about Gaussian measures within rotationally invariant probability distributions on Euclidean spaces, with particular attention to multidimensional Cauchy measures. Learn about the collaborative research findings from a joint project with S. Bobkov that expands upon Pisier's foundational work in mathematical analysis and probability theory.