AbstractThe eigenvalue PDF for some well known classes of non-Hermitian random matrices — the complex Ginibre ensemble for example — can be interpreted as the Boltzmann factor for one-component plasma systems in two-dimensional domains. We address this theme in a systematic fashion, identifying the plasma system for the Ginibre ensemble of non-Hermitian Gaussian random matrices G, the spherical ensemble of the product of an inverse Ginibre matrix and a Ginibre matrix G1−1G2, and the ensemble formed by truncating unitary matrices, as well as for products of such matrices. We do this when each has either real, complex or real quaternion elements. One consequence of this analogy is that the leading form of the eigenvalue density follows as a c...
International audienceThe β-Hermite ensemble (β-HE) of tridiagonal N × N random matrices of Dumitriu...
Kanzieper E, Akemann G. Statistics of Real Eigenvalues in Ginibre's Ensemble of Random Real Matrices...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
The eigenvalue PDF for some well known classes of non-Hermitian random matrices — the complex Ginibr...
AbstractThe eigenvalue PDF for some well known classes of non-Hermitian random matrices — the comple...
It is well known that the joint probability density of the eigenvalues of Gaussian ensembles of rand...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
One can identify a tripartite classification of random matrix ensembles into geomet-rical universali...
© 2011 Dr. Anthony MaysThe eigenvalue correlation functions for random matrix ensembles are fundamen...
Let X be a random matrix whose squared singular value density is a polynomial ensemble. We derive do...
PhDIn 1965 J. Ginibre introduced an ensemble of random matrices with no symmetry conditions imposed...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
International audienceThe β-Hermite ensemble (β-HE) of tridiagonal N × N random matrices of Dumitriu...
Kanzieper E, Akemann G. Statistics of Real Eigenvalues in Ginibre's Ensemble of Random Real Matrices...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
The eigenvalue PDF for some well known classes of non-Hermitian random matrices — the complex Ginibr...
AbstractThe eigenvalue PDF for some well known classes of non-Hermitian random matrices — the comple...
It is well known that the joint probability density of the eigenvalues of Gaussian ensembles of rand...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
One can identify a tripartite classification of random matrix ensembles into geomet-rical universali...
© 2011 Dr. Anthony MaysThe eigenvalue correlation functions for random matrix ensembles are fundamen...
Let X be a random matrix whose squared singular value density is a polynomial ensemble. We derive do...
PhDIn 1965 J. Ginibre introduced an ensemble of random matrices with no symmetry conditions imposed...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
International audienceThe β-Hermite ensemble (β-HE) of tridiagonal N × N random matrices of Dumitriu...
Kanzieper E, Akemann G. Statistics of Real Eigenvalues in Ginibre's Ensemble of Random Real Matrices...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...