We define a new diffusive matrix model converging towards the $\beta$-Dyson Brownian motion for all $\beta\in [0,2]$ that provides an explicit construction of $\beta$-ensembles of random matrices that is invariant under the orthogonal/unitary group. We also describe the eigenvector dynamics of the limiting matrix process; we show that when $\beta< 1$ and that two eigenvalues collide, the eigenvectors of these two colliding eigenvalues fluctuate very fast and take the uniform measure on the orthocomplement of the eigenvectors of the remaining eigenvalues.no
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
We establish a correspondence between the evolution of the distribution of eigenvalues of a N × N ma...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.In title on t...
We define a new diffusive matrix model converging toward the β-Dyson Brownian motion for all β∈[0,2]...
We define a new diffusive matrix model converging towards the β -Dyson Brownian motion for all β ∈ [...
Consider the Dyson Brownian motion with parameter β, where β=1,2,4 corresponds to the eigenvalue flo...
We study the time evolution of Ginibre matrices whose elements undergo Brownian motion. The non-Herm...
We show that the Dyson Brownian Motion exhibits local universality after a very short time assuming ...
Abstract. The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random ma...
The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random matrices N ...
In this letter we present an analytic method for calculating the transition probability between two ...
We construct a diffusive matrix model for the β-Wishart (or Laguerre) ensemble for general continuou...
We prove that the largest eigenvalues of the beta ensembles of random matrix theory converge in dist...
In this paper we present an analytic method for calculating the transition probability between two r...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
We establish a correspondence between the evolution of the distribution of eigenvalues of a N × N ma...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.In title on t...
We define a new diffusive matrix model converging toward the β-Dyson Brownian motion for all β∈[0,2]...
We define a new diffusive matrix model converging towards the β -Dyson Brownian motion for all β ∈ [...
Consider the Dyson Brownian motion with parameter β, where β=1,2,4 corresponds to the eigenvalue flo...
We study the time evolution of Ginibre matrices whose elements undergo Brownian motion. The non-Herm...
We show that the Dyson Brownian Motion exhibits local universality after a very short time assuming ...
Abstract. The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random ma...
The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random matrices N ...
In this letter we present an analytic method for calculating the transition probability between two ...
We construct a diffusive matrix model for the β-Wishart (or Laguerre) ensemble for general continuou...
We prove that the largest eigenvalues of the beta ensembles of random matrix theory converge in dist...
In this paper we present an analytic method for calculating the transition probability between two r...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
We establish a correspondence between the evolution of the distribution of eigenvalues of a N × N ma...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.In title on t...