In this paper, we introduce and study a unitary matrix-valued process which is closely related to the Hermitian matrix-Jacobi process. It is precisely defined as the product of a deterministic self-adjoint symmetry and a randomly-rotated one by a unitary Brownian motion. Using stochastic calculus and the action of the symmetric group on tensor powers, we derive an autonomous ordinary differential equation for the moments of its fixed-time marginals. Next, we derive an expression of these moments which involves a unitary bridge between our unitary process and another independent unitary Brownian motion. This bridge motivates and allows to write a second direct proof of the obtained moment expression
We prove a concentration phenomenon on the empirical eigenvalue distribution (EED) of the principal ...
Motivated by recent results in random matrix theory we will study the distributions arising from pro...
martingale polynomials, chaos representation property. We extend to matrix-valued stochastic process...
In this paper, we introduce and study a unitary matrix-valued process which is closely related to th...
We study self-duality for interacting particle systems, where the particles move as continuous time ...
Introduction The most celebrated and useful random process surely is the standard Brownian motion i...
In this paper, we investigate the processes of eigenvalues and eigenvectors of a symmetric matrix va...
We study self-duality for interacting particle systems, where the particles move as continuous time ...
In the present talk, we will discuss the relationship between eigenvalue processes of Hermi-tian mat...
Representation theory and the theory of symmetric functions have played a central role in Random Mat...
To appear in J. Theo. Probab20 pagesInternational audienceIn this paper, we compute the expectation ...
We consider Brownian motions and other processes (Ornstein-Uhlenbeck processes, spherical Brownian m...
12 pagesInternational audienceIn this paper, we are interested in the free Jacobi process starting a...
The aim of this article is to characterize unitary increment process by a quantum stochastic integ...
Abstract. The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random ma...
We prove a concentration phenomenon on the empirical eigenvalue distribution (EED) of the principal ...
Motivated by recent results in random matrix theory we will study the distributions arising from pro...
martingale polynomials, chaos representation property. We extend to matrix-valued stochastic process...
In this paper, we introduce and study a unitary matrix-valued process which is closely related to th...
We study self-duality for interacting particle systems, where the particles move as continuous time ...
Introduction The most celebrated and useful random process surely is the standard Brownian motion i...
In this paper, we investigate the processes of eigenvalues and eigenvectors of a symmetric matrix va...
We study self-duality for interacting particle systems, where the particles move as continuous time ...
In the present talk, we will discuss the relationship between eigenvalue processes of Hermi-tian mat...
Representation theory and the theory of symmetric functions have played a central role in Random Mat...
To appear in J. Theo. Probab20 pagesInternational audienceIn this paper, we compute the expectation ...
We consider Brownian motions and other processes (Ornstein-Uhlenbeck processes, spherical Brownian m...
12 pagesInternational audienceIn this paper, we are interested in the free Jacobi process starting a...
The aim of this article is to characterize unitary increment process by a quantum stochastic integ...
Abstract. The Brownian motion model introduced by Dyson [7] for the eigenvalues of unitary random ma...
We prove a concentration phenomenon on the empirical eigenvalue distribution (EED) of the principal ...
Motivated by recent results in random matrix theory we will study the distributions arising from pro...
martingale polynomials, chaos representation property. We extend to matrix-valued stochastic process...