AbstractUniversality limits are a central topic in the theory of random matrices. We establish universality limits in the bulk of the spectrum for varying measures, using the theory of entire functions of exponential type. In particular, we consider measures that are of the form Wn2n(x)dx in the region where universality is desired. Wn does not need to be analytic, nor possess more than one derivative—and then only in the region where universality is desired. We deduce universality in the bulk for a large class of weights of the form W2n(x)dx, for example, when W=e−Q where Q is convex and Q′ satisfies a Lipschitz condition of some positive order. We also deduce universality for a class of fixed exponential weights on a real interval
The Freud ensemble of random matrices is the unitary invariant ensemble corresponding to the weight ...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...
AbstractUniversality limits are a central topic in the theory of random matrices. We establish unive...
We study the universal properties of distributions of eigenvalues of random matrices in the large N...
AbstractWe apply universality limits to asymptotics of spacing of zeros xkn of orthogonal polynomial...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We extend some remarkable recent results of Lubinsky and Levin–Lubinsky from [−1, 1] to allow discre...
AbstractWe consider asymptotics of ratios of random characteristic polynomials associated with ortho...
In this article, we consider a fairly general potential in the plane and the corresponding Boltzmann...
Berry-Esseen bounds for U-statistics under the optimal moment conditions were derived by Koroljuk an...
We study spacing distribution for the eigenvalues of a random normal matrix, in particular at points...
AbstractLet μ be a matrix-valued measure with the essential spectrum a single interval and countably...
The Freud ensemble of random matrices is the unitary invariant ensemble corresponding to the weight ...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...
AbstractUniversality limits are a central topic in the theory of random matrices. We establish unive...
We study the universal properties of distributions of eigenvalues of random matrices in the large N...
AbstractWe apply universality limits to asymptotics of spacing of zeros xkn of orthogonal polynomial...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We prove the Central Limit Theorem (CLT) for the number of eigenvalues near the spectrum edge for ce...
We extend some remarkable recent results of Lubinsky and Levin–Lubinsky from [−1, 1] to allow discre...
AbstractWe consider asymptotics of ratios of random characteristic polynomials associated with ortho...
In this article, we consider a fairly general potential in the plane and the corresponding Boltzmann...
Berry-Esseen bounds for U-statistics under the optimal moment conditions were derived by Koroljuk an...
We study spacing distribution for the eigenvalues of a random normal matrix, in particular at points...
AbstractLet μ be a matrix-valued measure with the essential spectrum a single interval and countably...
The Freud ensemble of random matrices is the unitary invariant ensemble corresponding to the weight ...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...
Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bound...