AbstractFollowing our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex matrices. We obtain an exact partial differential equation (valid for any matrix size N and arbitrary initial conditions) for evolution of the averaged extended characteristic polynomial. The logarithm of this polynomial has an interpretation of a potential which generates a Burgers dynamics in quaternionic space. The dynamics of the ensemble in the large N limit is completely determined by the coevolution of the spectral density and a certain eigenvector correlation function. This coevolution is best visible in an electrostatic potential of a quaternionic argument built of two complex variables, the first of which governs standard s...
We study expectations of powers and correlation functions for characteristic polynomials of N×N non-...
The parametric correlations of the transmission eigenvalues $T_i$ of a $N$-channel quantum scatterer...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Following our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex...
AbstractFollowing our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian...
26 pages, 4 figuresWe show that the averaged characteristic polynomial and the averaged inverse char...
We compare the Ornstein–Uhlenbeck process for the Gaussian unitary ensemble to its non-hermitian cou...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
We show that the averaged characteristic polynomial and the averaged inverse characteristic polynomi...
We study the time evolution of Ginibre matrices whose elements undergo Brownian motion. The non-Herm...
We review the recent developments in the theory of normal, normal self-dual and general complex rand...
We study the evolution of the distribution of eigenvalues of a N3N matrix subject to a random pertur...
We study spectral properties of the Fokker-Planck operator that describes particles diffusing in a q...
We show that the derivative of the logarithm of the average characteristic polynomial of a diffusing...
We study the diffusion of complex Wishart matrices and derive a partial differential equation govern...
We study expectations of powers and correlation functions for characteristic polynomials of N×N non-...
The parametric correlations of the transmission eigenvalues $T_i$ of a $N$-channel quantum scatterer...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Following our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian complex...
AbstractFollowing our recent letter [1], we study in detail an entry-wise diffusion of non-hermitian...
26 pages, 4 figuresWe show that the averaged characteristic polynomial and the averaged inverse char...
We compare the Ornstein–Uhlenbeck process for the Gaussian unitary ensemble to its non-hermitian cou...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
We show that the averaged characteristic polynomial and the averaged inverse characteristic polynomi...
We study the time evolution of Ginibre matrices whose elements undergo Brownian motion. The non-Herm...
We review the recent developments in the theory of normal, normal self-dual and general complex rand...
We study the evolution of the distribution of eigenvalues of a N3N matrix subject to a random pertur...
We study spectral properties of the Fokker-Planck operator that describes particles diffusing in a q...
We show that the derivative of the logarithm of the average characteristic polynomial of a diffusing...
We study the diffusion of complex Wishart matrices and derive a partial differential equation govern...
We study expectations of powers and correlation functions for characteristic polynomials of N×N non-...
The parametric correlations of the transmission eigenvalues $T_i$ of a $N$-channel quantum scatterer...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...