
 Tsirelson : Gaussian measures 
  The modern theory of Gaussian measures lies at the intersection of the theory of random processes, functional analysis, and mathematical physics and is closely connected with diverse applications in quantum field theory, statistical physics, financial mathematics, and other areas of sciences. 
  The study of Gaussian measures combines ideas and methods from probability theory, nonlinear analysis, geometry, linear operators, and topological vector spaces in a beautiful and nontrivial way. 
  The Gaussian isoperimetry implies highly general theorems about the probability distribution of the norm of a Gaussian random vector, as well as the maximum of a Gaussian random process. 
 www.tau.ac.il /~tsirel/Research/Gaussian/main.html (748 words) 
