URL: http://www-spht.cea.fr/articles/t98/001/The universality of correlation functions of eigenvalues of large random matrices has been observed in various physical systems, and proved in some particular cases, as the hermitian one-matrix model with polynomial potential. Here, we consider the more difficult case of a unidimensional chain of matrices with first neighbour couplings and polynomial potentials. The correlation functions can be written through the orthogonal polynomial method. In this article, we give an asymptotic expression of the orthogonal polynomials in the large $N$ limit, which allow to find new results on correlations among eigenvalues of different matrices of the chain. Finally, we consider the limit of the infinite chai...
AbstractThe microscopic correlation functions of non-chiral random matrix models with complex eigenv...
Götze F, Gordin M. Limit correlation functions for fixed trace random matrix ensembles. COMMUNICATIO...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
Restricted Access.Exact eigenvalue correlation functions are computed for large N hermitian one-matr...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
We consider linear spectral statistics built from the block-normalized correlation matrix of a set o...
The microscopic correlation functions of non-chiral random matrix models with complex eigenvalues ar...
We consider large random matrices with a general slowly decaying correlation among its entries. We p...
We study multiplicative statistics for the eigenvalues of unitarily-invariant Hermitian random matri...
AbstractThe microscopic correlation functions of non-chiral random matrix models with complex eigenv...
We consider linear spectral statistics built from the block-normalized correlation matrix of a set o...
Random matrix serves as one of the key tools in understanding the eigen-structure of large dimension...
Random matrix serves as one of the key tools in understanding the eigen-structure of large dimension...
Akemann G. Microscopic universality of complex matrix model correlation functions at weak non-Hermit...
AbstractThe microscopic correlation functions of non-chiral random matrix models with complex eigenv...
Götze F, Gordin M. Limit correlation functions for fixed trace random matrix ensembles. COMMUNICATIO...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...
Restricted Access.Exact eigenvalue correlation functions are computed for large N hermitian one-matr...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
We consider linear spectral statistics built from the block-normalized correlation matrix of a set o...
The microscopic correlation functions of non-chiral random matrix models with complex eigenvalues ar...
We consider large random matrices with a general slowly decaying correlation among its entries. We p...
We study multiplicative statistics for the eigenvalues of unitarily-invariant Hermitian random matri...
AbstractThe microscopic correlation functions of non-chiral random matrix models with complex eigenv...
We consider linear spectral statistics built from the block-normalized correlation matrix of a set o...
Random matrix serves as one of the key tools in understanding the eigen-structure of large dimension...
Random matrix serves as one of the key tools in understanding the eigen-structure of large dimension...
Akemann G. Microscopic universality of complex matrix model correlation functions at weak non-Hermit...
AbstractThe microscopic correlation functions of non-chiral random matrix models with complex eigenv...
Götze F, Gordin M. Limit correlation functions for fixed trace random matrix ensembles. COMMUNICATIO...
Abstract Using large N arguments, we propose a scheme for calculating the two-point eigenvector corr...