| Abstract: |
| We review a recently developed dynamical method in random matrix theory that extends universality results to a broader class of random matrices. A key idea of the method is to derive generalized local laws by means of Green function comparison along two different stochastic flows. We will explain this approach with particular emphasis on correlated random matrices. As an application, we will also discuss linear eigenvalue statistics for correlated random matrix models. |
|