We prove central limit theorem for linear eigenvalue statistics of orthogonally invariant ensembles of random matrices with one interval limiting spectrum. We consider ensembles with real analytic potentials and test functions with two bounded derivatives. 1 Introduction and main result In this paper we consider ensembles of n×n real symmetric matrices M with the probability distribution Pn(M)dM = Z−1n,β exp{
The paper proves several limit theorems for linear eigenvalue statistics of overlapping Wigner and s...
AbstractThe existence of limiting spectral distribution (LSD) of the product of two random matrices ...
We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a W...
We prove the Central Limit Theorem for finite-dimensional vectors of linear eigenvalue stat...
In this paper, we consider n×n real symmetric Wigner matrices W with independent (modulo symmetry c...
We prove the Central Limit Theorem for linear statistics of the eigenvalues of band random ...
We prove the Central Limit Theorem for linear statistics of the eigenvalues of band random ...
The main topic addressed here is the joint distribution of spectra of submatrices M(1) and M(2) of l...
Götze F, Tikhomirov AN. Limit theorems for spectra of random matrices with martingale structure. THE...
Abstract. We show central limit theorems (CLT) for the linear statistics of symmetric matrices with ...
A new form of empirical spectral distribution of a Wigner matrix Wn with weights specified by the ei...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
Abstract. We show that the variance of centred linear statistics of eigenvalues of GUE matrices rema...
This note presents some central limit theorems for the eigenvalue counting function of Wigner matric...
The paper proves several limit theorems for linear eigenvalue statistics of overlapping Wigner and s...
AbstractThe existence of limiting spectral distribution (LSD) of the product of two random matrices ...
We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a W...
We prove the Central Limit Theorem for finite-dimensional vectors of linear eigenvalue stat...
In this paper, we consider n×n real symmetric Wigner matrices W with independent (modulo symmetry c...
We prove the Central Limit Theorem for linear statistics of the eigenvalues of band random ...
We prove the Central Limit Theorem for linear statistics of the eigenvalues of band random ...
The main topic addressed here is the joint distribution of spectra of submatrices M(1) and M(2) of l...
Götze F, Tikhomirov AN. Limit theorems for spectra of random matrices with martingale structure. THE...
Abstract. We show central limit theorems (CLT) for the linear statistics of symmetric matrices with ...
A new form of empirical spectral distribution of a Wigner matrix Wn with weights specified by the ei...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
Abstract. We show that the variance of centred linear statistics of eigenvalues of GUE matrices rema...
This note presents some central limit theorems for the eigenvalue counting function of Wigner matric...
The paper proves several limit theorems for linear eigenvalue statistics of overlapping Wigner and s...
AbstractThe existence of limiting spectral distribution (LSD) of the product of two random matrices ...
We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a W...