EVENT DETAILS AND ABSTRACT

Title: Spectra of Random Graphs I: Shape and Connection With Random Matrices
Speaker: Ioana Dumitriu
Speaker Info: University of California, San Diego
Brief Description:
Special Note:
Abstract:

The spectral study of random graphs is a well-established area at the intersection of random matrix theory and spectral graph theory, with applications ranging from machine learning to coding theory and signal processing. We will review several models of random graphs and survey what is known about their limiting spectral shapes, comparing and contrasting with similar results from random matrix theory, both in (relatively) dense and in sparse cases.