International audienceFor a positive integer r, let I denote the r × r unit matrix. Let X and Y be two independent r × r real symmetric and positive definite random matrices. Assume that X follows a Kummer distribution while Y follows a non-degenerate Wishart distribution, with suitable parameters. This note points out the following observation: the random matrices U := [I + (X + Y) −1 ] 1/2 [I + X −1 ] −1 [I + (X + Y) −1 ] 1/2 and V := X + Y are independent and U follows a matrix beta distribution while V follows a Kummer distribution. This generalizes to the matrix case an independence property established in Koudou and Vallois (2010) for r = 1
open1noAltro finanziamento: PRIN GRETAWe derive the probability that all eigenvalues of a random mat...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Götze F, Naumov A, Tikhomirov A. ON A GENERALIZATION OF THE ELLIPTIC LAW FOR RANDOM MATRICES. Acta P...
International audienceFor a positive integer r, let I denote the r × r unit matrix. Let X and Y be t...
International audienceFor a positive integer r, let I denote the r × r unit matrix. Let X and Y be t...
AbstractThis paper establishes a link between a generalized matrix Matsumoto–Yor (MY) property and t...
International audienceFor four types of functions ξ : ]0, ∞[→]0, ∞[, we characterize the law of two ...
AbstractGiven two independent positive random variables x and y, and the independence of xy and (1 −...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY. The general co...
Let Y be an nxp multivariate normal random matrix with general covariance [Sigma]Y. The general cova...
Voiculescu's notion of asymptotic free independence is known for a large class of random matrices in...
This article provides a comprehensive, rigorous, and self-contained introduction to the analysis of ...
AbstractFor a normal random matrix Y with mean zero, necessary and sufficient conditions are obtaine...
It is known that the joint limit distribution of independent Wigner matrices satisfies a very specia...
open1noAltro finanziamento: PRIN GRETAWe derive the probability that all eigenvalues of a random mat...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Götze F, Naumov A, Tikhomirov A. ON A GENERALIZATION OF THE ELLIPTIC LAW FOR RANDOM MATRICES. Acta P...
International audienceFor a positive integer r, let I denote the r × r unit matrix. Let X and Y be t...
International audienceFor a positive integer r, let I denote the r × r unit matrix. Let X and Y be t...
AbstractThis paper establishes a link between a generalized matrix Matsumoto–Yor (MY) property and t...
International audienceFor four types of functions ξ : ]0, ∞[→]0, ∞[, we characterize the law of two ...
AbstractGiven two independent positive random variables x and y, and the independence of xy and (1 −...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
AbstractLet Y be an n×p multivariate normal random matrix with general covariance ΣY. The general co...
Let Y be an nxp multivariate normal random matrix with general covariance [Sigma]Y. The general cova...
Voiculescu's notion of asymptotic free independence is known for a large class of random matrices in...
This article provides a comprehensive, rigorous, and self-contained introduction to the analysis of ...
AbstractFor a normal random matrix Y with mean zero, necessary and sufficient conditions are obtaine...
It is known that the joint limit distribution of independent Wigner matrices satisfies a very specia...
open1noAltro finanziamento: PRIN GRETAWe derive the probability that all eigenvalues of a random mat...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Götze F, Naumov A, Tikhomirov A. ON A GENERALIZATION OF THE ELLIPTIC LAW FOR RANDOM MATRICES. Acta P...