Gaussian perturbations of hard edge random matrix ensembles
(2016) Nonlinearity — Vol. 29, n° 11, p. 3385-3416 (2016)
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- Abstract
- We study the eigenvalue correlations of random Hermitian n × n matrices of the form S = M +∈H, where H is a GUE matrix, ∈ >0, and M is a positivedefinite Hermitian random matrix, independent of H, 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 S close to 0 if ∈ tends to 0 together with n→+∞ at a critical speed, depending on the random matrix M. 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) M is a Laguerre/Wishart random matrix, (ii) M = G∗G with G a product of Ginibre matrices, (iii) M = T ∗T with T a product of truncations of Haar distributed unitary matrices, and (iv) the eigenvalues of M follow a Muttalib-Borodin biorthogonal ensemble.
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Claeys, T., & Doeraene, A. (2016). Gaussian perturbations of hard edge random matrix ensembles. Nonlinearity, 29(11), 3385-3416. https://doi.org/10.1088/0951-7715/29/11/3385 (Original work published 2016)