We apply the method of determinants to study the distribution of the largest singular values of large $ m \times n $ real rectangular random matrices with independent Cauchy entries. We show that statistical properties of the (rescaled by a factor of $ \frac{1}{m^2\*n^2}$)largest singular values agree in the limit with the statistics of the inhomogeneous Poisson random point process with the intensity $ \frac{1}{\pi} x^{-3/2} $ and, therefore, are different from the Tracy-Widom law. Among other corollaries of our method we show an interesting connection between the mathematical expectations of the determinants of complex rectangular $ m \times n $ standard Wishart ensemble and r...
none1noWe derive efficient recursive formulas giving the exact distribution of the largest eigenvalu...
International audienceIn this brief paper the probability density of a random real, complex and quat...
We derive estimates for the largest and smallest singular values of sparse rectangular $N\times n$ r...
We apply the method of determinants to study the distribution of the largest singular value...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
Recently, the study of products of random matrices gained a lot of interest. Motivated by this, we w...
International audienceThis paper concentrates on asymptotic properties of determinants of some rando...
International audienceThis paper concentrates on asymptotic properties of determinants of some rando...
Let $M_{n}$ denote a random symmetric $n\ti...
Recently Johansson and Johnstone proved that the distribution of the (properly rescaled) la...
The aim of this work is to explain some connections between random matrices and determinantal proces...
Recently Johansson and Johnstone proved that the distribution of the (properly rescaled) la...
Let $M_{n}$ denote a random symmetric $n\ti...
We study large Wigner random matrices in the case when the marginal distributions of matrix...
We study large Wigner random matrices in the case when the marginal distributions of matrix...
none1noWe derive efficient recursive formulas giving the exact distribution of the largest eigenvalu...
International audienceIn this brief paper the probability density of a random real, complex and quat...
We derive estimates for the largest and smallest singular values of sparse rectangular $N\times n$ r...
We apply the method of determinants to study the distribution of the largest singular value...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
Recently, the study of products of random matrices gained a lot of interest. Motivated by this, we w...
International audienceThis paper concentrates on asymptotic properties of determinants of some rando...
International audienceThis paper concentrates on asymptotic properties of determinants of some rando...
Let $M_{n}$ denote a random symmetric $n\ti...
Recently Johansson and Johnstone proved that the distribution of the (properly rescaled) la...
The aim of this work is to explain some connections between random matrices and determinantal proces...
Recently Johansson and Johnstone proved that the distribution of the (properly rescaled) la...
Let $M_{n}$ denote a random symmetric $n\ti...
We study large Wigner random matrices in the case when the marginal distributions of matrix...
We study large Wigner random matrices in the case when the marginal distributions of matrix...
none1noWe derive efficient recursive formulas giving the exact distribution of the largest eigenvalu...
International audienceIn this brief paper the probability density of a random real, complex and quat...
We derive estimates for the largest and smallest singular values of sparse rectangular $N\times n$ r...