On superbosonization identity and its applications to random matrix theory
Mathphys Analysis Seminar
The method of commuting and anticommuting variables (also known as the supersymmetry method) proved to be useful in many different questions of the random matrix theory. One of the variants of the supersymmetry method relies on the so-called superbosonization identity. This identity can be used to transform complicated integrals arising from the invariant random matrix ensembles to much simpler integrals with fixed number of commuting and anticommuting variables. The advantage of this approach is that the asymptotic behaviour of the latter integrals usually can be analyzed by standard methods (e.g. saddle point method). The proof of the superbosonization formula uses representation theory and Lie groups and in this talk I will outline the main ideas of the proof. The talk is based on the paper by Littelmann, Sommers and Zirnbauer (https://arxiv.org/abs/0707.2929).