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Bulk Eigenvalue Correlation Statistics of Random Biregular Bipartite Graphs

Probability 2018-01-18 v3 Combinatorics Statistics Theory Statistics Theory

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)-regular graphs on MM black vertices and NN white vertices, where db[Nγ,N2/3γ]d_b \in [N^{\gamma}, N^{2/3 - \gamma}] for any γ>0\gamma > 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.

Keywords

Cite

@article{arxiv.1705.00083,
  title  = {Bulk Eigenvalue Correlation Statistics of Random Biregular Bipartite Graphs},
  author = {Kevin Yang},
  journal= {arXiv preprint arXiv:1705.00083},
  year   = {2018}
}

Comments

26 pages; includes minor revision

R2 v1 2026-06-22T19:31:33.412Z