## Speaker:

Kyle Luh

## Speaker Link:

## Institution:

Harvard University

## Time:

Tuesday, October 15, 2019 - 11:00am to 12:00pm

## Host:

## Location:

RH 340N

We will discuss some recent work on quantifying the gaps between eigenvalues of sparse random matrices. Before these results, it was not even known if the eigenvalues were distinct for this class of random matrices. We will also touch upon how these results relate to random graphs, the graph isomorphism problem and nodal domains. This is joint work with Van Vu and Patrick Lopatto.