This thesis is about Random Matrix Theory and Free Probability whose strong relation is known since the early nineties. The results mainly organize in two parts : one on infinitesimal freeness, the other on deformed matrix models. More precisely, a combinatorial theory of first order infinitesimal freeness, as introduced by Belinschi and Shlyakhtenko, is developed and generalized to higher order. We give a simple and general framework and we introduce infinitesimal non-crossing cumulant functionals, providing a characterization of infinitesimal freeness. The emphasis is put on combinatorics and on the essentially differential ideas underlying this notion. The second part carries further the study of deformations of matrix models, which has ...
The model of heavy Wigner matrices generalizes the classical ensemble of Wigner matrices: the sub-di...
In this article, we define and study a geometry and an order on the set of partitions of an even num...
Cette thèse se compose de trois parties distinctes et se concentre à la fois sur l'analyse stochasti...
This thesis is about Random Matrix Theory and Free Probability whose strong relation is known since ...
The thesis fits into the random matrix theory, in intersection with free probability and operator al...
Cette thèse s'inscrit dans la théorie des matrices aléatoires, à l'intersection avec la théorie des ...
This article gives a short introduction to free probability theory and emphasizes its role as a natu...
We investigate the asymptotic behavior of the eigenvalues of spiked perturbations of Wigner matrices...
ABSTRACT. We investigate the implications of free probability for finite-dimensional, Hermitian rand...
This volume opens the world of free probability to a wide variety of readers. From its roots in the ...
This PhD lies at the intersection of Random Matrix Theory and Free Probability Theory. The connectio...
We construct a random matrix model for the bijection between clas-sical and free infinitely divisib...
We prove that independent families of permutation invariant random matrices are asymptotically free ...
We consider general ensembles of N x N random matrices in the limit of large matrix size (N going to...
A combinatorial proof of Wigner’s semicircle law for the Gaussian Unitary Ensemble (GUE) is presente...
The model of heavy Wigner matrices generalizes the classical ensemble of Wigner matrices: the sub-di...
In this article, we define and study a geometry and an order on the set of partitions of an even num...
Cette thèse se compose de trois parties distinctes et se concentre à la fois sur l'analyse stochasti...
This thesis is about Random Matrix Theory and Free Probability whose strong relation is known since ...
The thesis fits into the random matrix theory, in intersection with free probability and operator al...
Cette thèse s'inscrit dans la théorie des matrices aléatoires, à l'intersection avec la théorie des ...
This article gives a short introduction to free probability theory and emphasizes its role as a natu...
We investigate the asymptotic behavior of the eigenvalues of spiked perturbations of Wigner matrices...
ABSTRACT. We investigate the implications of free probability for finite-dimensional, Hermitian rand...
This volume opens the world of free probability to a wide variety of readers. From its roots in the ...
This PhD lies at the intersection of Random Matrix Theory and Free Probability Theory. The connectio...
We construct a random matrix model for the bijection between clas-sical and free infinitely divisib...
We prove that independent families of permutation invariant random matrices are asymptotically free ...
We consider general ensembles of N x N random matrices in the limit of large matrix size (N going to...
A combinatorial proof of Wigner’s semicircle law for the Gaussian Unitary Ensemble (GUE) is presente...
The model of heavy Wigner matrices generalizes the classical ensemble of Wigner matrices: the sub-di...
In this article, we define and study a geometry and an order on the set of partitions of an even num...
Cette thèse se compose de trois parties distinctes et se concentre à la fois sur l'analyse stochasti...