English

Gaussian perturbations of hard edge random matrix ensembles

Mathematical Physics 2017-08-14 v1 Complex Variables math.MP Probability

Abstract

We study the eigenvalue correlations of random Hermitian n×nn\times n matrices of the form S=M+ϵHS=M+\epsilon H, where HH is a GUE matrix, ϵ>0\epsilon>0, and MM is a positive-definite Hermitian random matrix, independent of HH, whose eigenvalue density is a polynomial ensemble. We show that there is a soft-to-hard edge transition in the microscopic behaviour of the eigenvalues of SS close to 00 if ϵ\epsilon tends to 00 together with n+n\to +\infty at a critical speed, depending on the random matrix MM. In a double scaling limit, we obtain a new family of limiting eigenvalue correlation kernels. We apply our general results to the cases where (i) MM is a Laguerre/Wishart random matrix, (ii) M=GGM=G^*G with GG a product of Ginibre matrices, (iii) M=TTM=T^*T with TT a product of truncations of Haar distributed unitary matrices, and (iv) the eigenvalues of MM follow a Muttalib-Borodin biorthogonal ensemble.

Keywords

Cite

@article{arxiv.1601.00511,
  title  = {Gaussian perturbations of hard edge random matrix ensembles},
  author = {Tom Claeys and Antoine Doeraene},
  journal= {arXiv preprint arXiv:1601.00511},
  year   = {2017}
}

Comments

36 pages, 8 figures