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Bulk Eigenvalue Correlation Statistics of Random Biregular Bipartite Graphs

28 April 2017
Kevin Yang
ArXiv (abs)PDFHTML
Abstract

This paper is the second chapter of three of the author's undergraduate thesis. In this paper, we consider the random matrix ensemble given by (db,dw)(d_b, d_w)(db​,dw​)-regular graphs on MMM black vertices and NNN white vertices, where db∈[Nγ,N2/3−γ]d_b \in [N^{\gamma}, N^{2/3 - \gamma}]db​∈[Nγ,N2/3−γ] for any γ>0\gamma > 0γ>0. We simultaneously prove that the bulk eigenvalue correlation statistics for both normalized adjacency matrices and their corresponding covariance matrices are stable for short times. Combined with an ergodicity analysis of the Dyson Brownian motion in another paper, this proves universality of bulk eigenvalue correlation statistics, matching normalized adjacency matrices with the GOE and the corresponding covariance matrices with the Gaussian Wishart Ensemble.

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