We determine the operator limit for large powers of random symmetric tridiagonal matrices as the size of the matrix grows. The result provides a novel expression in terms of functionals of Brownian motions for the Laplace transform of the Airy β process, which describes the largest eigenvalues in the β ensembles of random matrix theory. Another consequence is a Feynman-Kac formula for the stochastic Airy operator of Edelman-Sutton and Ramirez-Rider-Virag. As a side result, we find that the difference between the area underneath a standard Brownian excursion and one half of the integral of its squared local times is a Gaussian random variable. Keywords: Airy point process; Brownian bridge; Brownian excursion; Dumitriu–Edelman model; Feynman–...
We talk about stochastic dynamics whose (unlabeled) equilibrium states are point processes appearing...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
International audienceWe introduce and study stochastic N –particle ensembles which are discretizati...
We introduce a new method for studying universality of random matrices. Let T-n be the Jacobi matrix...
We prove that the largest eigenvalues of the beta ensembles of random matrix theory converge in dist...
Abstract. — In this paper, we are concerned with the large n limit of the distri-butions of linear c...
This thesis consists of two papers devoted to the asymptotics of random matrix ensembles and measure...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
14 pagesIn this paper, we are concerned with the large N limit of linear combinations of the entries...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
We introduce a calculational tool useful in computing ratios and products of characteristic polynomi...
We investigate the marginal distribution of the bottom eigenvalues of the stochastic Airy operator w...
For a wide class of Hermitian random matrices, the limit distribution of the eigenvalues close to th...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
105 pagesWe prove a central limit theorem for fluctuations of individual eigenvalues of real Wishart...
We talk about stochastic dynamics whose (unlabeled) equilibrium states are point processes appearing...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
International audienceWe introduce and study stochastic N –particle ensembles which are discretizati...
We introduce a new method for studying universality of random matrices. Let T-n be the Jacobi matrix...
We prove that the largest eigenvalues of the beta ensembles of random matrix theory converge in dist...
Abstract. — In this paper, we are concerned with the large n limit of the distri-butions of linear c...
This thesis consists of two papers devoted to the asymptotics of random matrix ensembles and measure...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
14 pagesIn this paper, we are concerned with the large N limit of linear combinations of the entries...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
We introduce a calculational tool useful in computing ratios and products of characteristic polynomi...
We investigate the marginal distribution of the bottom eigenvalues of the stochastic Airy operator w...
For a wide class of Hermitian random matrices, the limit distribution of the eigenvalues close to th...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
105 pagesWe prove a central limit theorem for fluctuations of individual eigenvalues of real Wishart...
We talk about stochastic dynamics whose (unlabeled) equilibrium states are point processes appearing...
Putting dynamics into random matrix models leads to finitely many nonintersecting Brownian motions o...
International audienceWe introduce and study stochastic N –particle ensembles which are discretizati...