Non-Gaussian random-matrix ensembles are important in many applications. We propose Monte Carlo and Langevin methods for generating non-Gaussian ensembles and their eigenvalue spectra. We also provide a general framework for analytic studies of the level density in these ensembles. We show that, in general, the level densities exhibit banded spectra, with important implications for mesoscopic systems and complex nuclei. The universality of energy-level fluctuations is confirmed
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We numerically study the level statistics of the Gaussian β ensemble. These statistics generalize Wi...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
International audienceThe evolution with β of the distributions of the spacing 's' between nearest-n...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
In order to have a better understanding of finite random matrices with non-Gaussian entries, we stud...
Abstract The non-ergodic extended (NEE) regime in physical and random matrix (RM) models has attract...
It is shown that the families of generalized matrix ensembles recently considered which give rise to...
Although used with increasing frequency in many branches of physics, random matrix ensembles are not...
Thesis (Ph.D.)--University of Washington, 2013The goal of this thesis is to develop one of the threa...
Motivated by the need to capture statistical properties of turbulent systems in simple, analytically...
Abstract. We investigate the localization properties of the eigenvectors of a banded random matrix e...
The recent interest of the scientific community about the properties of networks is based on the pos...
International audienceRandom matrix theory was intensively studied in the context of nuclear physics...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We numerically study the level statistics of the Gaussian β ensemble. These statistics generalize Wi...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
International audienceThe evolution with β of the distributions of the spacing 's' between nearest-n...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
In order to have a better understanding of finite random matrices with non-Gaussian entries, we stud...
Abstract The non-ergodic extended (NEE) regime in physical and random matrix (RM) models has attract...
It is shown that the families of generalized matrix ensembles recently considered which give rise to...
Although used with increasing frequency in many branches of physics, random matrix ensembles are not...
Thesis (Ph.D.)--University of Washington, 2013The goal of this thesis is to develop one of the threa...
Motivated by the need to capture statistical properties of turbulent systems in simple, analytically...
Abstract. We investigate the localization properties of the eigenvectors of a banded random matrix e...
The recent interest of the scientific community about the properties of networks is based on the pos...
International audienceRandom matrix theory was intensively studied in the context of nuclear physics...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We numerically study the level statistics of the Gaussian β ensemble. These statistics generalize Wi...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...