When a matrix is reduced to Lanczos tridiagonal form, its matrix elements can be divided into an analytic smooth mean value and a fluctuating part. The next-neighbor spacing distribution P(s) and the spectral rigidity $\Delta_3$ are shown to be universal functions of the average value of the fluctuating part. It is explained why the behavior of these quantities suggested by random matrix theory is valid in far more general cases
Abstract. We investigate the localization properties of the eigenvectors of a banded random matrix e...
Level curvature is a measure of sensitivity of energy levels of a disordered/chaotic system to pertu...
In this article, we study the fluctuations of linear statistics of eigenvalues of circulant, symmetr...
When a matrix is reduced to Lanczos tridiagonal form, its matrix elements can be divided into an ana...
We investigate spacing statistics for ensembles of various real random matrices where the matrix-ele...
22 pagesInternational audienceWe illustrate a general method for calculating spectral statistics tha...
This article is dedicated to the following class of problems. Start with an N x N Hermitian matrix r...
The aim of this paper is to show how free probability theory sheds light on spectral properties of d...
International audienceThe evolution with β of the distributions of the spacing 's' between nearest-n...
We present a generalization of the method of the local relaxation flow to establish the universality...
The most classical problem in random matrix theory is to specify a natural joint distribution for th...
International audienceWe consider the empirical spectral distribution (ESD) of a random matrix from ...
We study the spectral eigenvalue statistics of tight-binding random matrix ensembles in the presence...
The set of data required to produce the plot of number variance of eigenvalues inside disks in the c...
The recent interest of the scientific community about the properties of networks is based on the pos...
Abstract. We investigate the localization properties of the eigenvectors of a banded random matrix e...
Level curvature is a measure of sensitivity of energy levels of a disordered/chaotic system to pertu...
In this article, we study the fluctuations of linear statistics of eigenvalues of circulant, symmetr...
When a matrix is reduced to Lanczos tridiagonal form, its matrix elements can be divided into an ana...
We investigate spacing statistics for ensembles of various real random matrices where the matrix-ele...
22 pagesInternational audienceWe illustrate a general method for calculating spectral statistics tha...
This article is dedicated to the following class of problems. Start with an N x N Hermitian matrix r...
The aim of this paper is to show how free probability theory sheds light on spectral properties of d...
International audienceThe evolution with β of the distributions of the spacing 's' between nearest-n...
We present a generalization of the method of the local relaxation flow to establish the universality...
The most classical problem in random matrix theory is to specify a natural joint distribution for th...
International audienceWe consider the empirical spectral distribution (ESD) of a random matrix from ...
We study the spectral eigenvalue statistics of tight-binding random matrix ensembles in the presence...
The set of data required to produce the plot of number variance of eigenvalues inside disks in the c...
The recent interest of the scientific community about the properties of networks is based on the pos...
Abstract. We investigate the localization properties of the eigenvectors of a banded random matrix e...
Level curvature is a measure of sensitivity of energy levels of a disordered/chaotic system to pertu...
In this article, we study the fluctuations of linear statistics of eigenvalues of circulant, symmetr...