In this program we will discuss recent developments of random matrix theories beyond the ten fold classification in terms of large symmetric spaces.
Random Matrix theory has been applied to many areas in pure and applied mathematics and in physics, ranging from correlations among the zeros of the Riemann function and the distribution of the longest increasing subsequences of permutations to the spacing distribution of nuclear levels and correlations of the eigenvalues of the Dirac operator in Quantum Chromo Dynamics. Weekly Talks are held in SCGP Room 313 at 11:00 am. Organized by Alexei Borodin,Peter Forrester, Yan Fyodorov, Alice Guionnet, Jon Keating, Mario Kieburg, and Jacobus Verbaarschot
By Brianne Schmidt on Augin 2015-2016ay, program, Seminarsįoundations and Applications of Random Matrix Theory in Mathematics and Physics