2016/12/18 by Zhigang Bao, László Erdős, Bao, Zhigang +3 · 1 citation
Mathematics · #Random Matrices and Applications #Stochastic processes and statistical mechanics #Advanced Algebra and Geometry
paper · doi:10.48550/arxiv.1612.05920
Let U and V be two independent N by N random matrices that are distributed according to Haar measure on U(N). Let Σ be a non-negative deterministic N by N matrix. The single ring theorem [26] asserts that the empirical eigenvalue distribution of the matrix X:= UΣV^* converges weakly, in the limit of large N, to a deterministic measure which is supported on a single ring centered at the origin in ℂ. Within the bulk regime, i.e. in the interior of the single ring, we establish the convergence of the empirical eigenvalue distribution on the optimal local scale of order N-1/2+ε and establish the optimal convergence rate. The same results hold true when~U and~V are Haar distributed on O(N).