TY - JOUR
AB - For a general class of large non-Hermitian random block matrices X we prove that there are no eigenvalues away from a deterministic set with very high probability. This set is obtained from the Dyson equation of the Hermitization of X as the self-consistent approximation of the pseudospectrum. We demonstrate that the analysis of the matrix Dyson equation from (Probab. Theory Related Fields (2018)) offers a unified treatment of many structured matrix ensembles.
AU - Alt, Johannes
AU - Erdös, László
AU - Krüger, Torben H
AU - Nemish, Yuriy
ID - 6240
IS - 2
JF - Annales de l'institut Henri Poincare
SN - 02460203
TI - Location of the spectrum of Kronecker random matrices
VL - 55
ER -
TY - JOUR
AB - We prove a central limit theorem for the difference of linear eigenvalue statistics of a sample covariance matrix W˜ and its minor W. We find that the fluctuation of this difference is much smaller than those of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of W˜ and W. Our result identifies the fluctuation of the spatial derivative of the approximate Gaussian field in the recent paper by Dumitru and Paquette. Unlike in a similar result for Wigner matrices, for sample covariance matrices, the fluctuation may entirely vanish.
AU - Cipolloni, Giorgio
AU - Erdös, László
ID - 6488
JF - Random Matrices: Theory and Application
SN - 20103263
TI - Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices
ER -
TY - JOUR
AB - 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 nonnegative deterministic N by N matrix. The single ring theorem [Ann. of Math. (2) 174 (2011) 1189–1217] 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, that is, 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).
AU - Bao, Zhigang
AU - Erdös, László
AU - Schnelli, Kevin
ID - 6511
IS - 3
JF - Annals of Probability
SN - 00911798
TI - Local single ring theorem on optimal scale
VL - 47
ER -
TY - JOUR
AB - The aim of this short paper is to offer a complete characterization of all (not necessarily surjective) isometric embeddings of the Wasserstein space Wp(X), where S is a countable discrete metric space and 0