Akemann G, Kanzieper E. Integrable Structure of Ginibre's Ensemble of Real Random Matrices and a Pfaffian Integration Theorem. J. Stat. Phys. 2007;129(5-6):1159-1231.In the recent publication [E. Kanzieper and G. Akemann, Phys. Rev. Lett. 95,230201 (2005); arXiv: math-ph/0507058], an exact solution was reported for theprobability "p_{n,k}" to find exactly "k" real eigenvalues in the spectrum ofan "n" by "n" real asymmetric matrix drawn at random from Ginibre's OrthogonalEnsemble (GinOE). In the present paper, we offer a detailed derivation of theabove result by concentrating on the proof of the Pfaffian integration theorem,the key ingredient of our analysis of the statistics of real eigenvalues in theGinOE. We also initiate a study of the c...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Akemann G, Burda Z. Universal microscopic correlation functions for products of independent Ginibre ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Abstract. In the recent publication [E. Kanzieper and G. Akemann, Phys. Rev. Lett. 95, 230201 (2005)...
Kanzieper E, Akemann G. Statistics of Real Eigenvalues in Ginibre's Ensemble of Random Real Matrices...
The integrable structure of Ginibre's orthogonal ensemble of random matrices is looked at through th...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We give a closed form for the correlation functions of ensembles of a class of asymmetric real matri...
We give a closed form for the correlation functions of ensembles of a class of asymmetric real matri...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
© 2011 Dr. Anthony MaysThe eigenvalue correlation functions for random matrix ensembles are fundamen...
We calculate the average of two characteristic polynomials for the real Ginibre ensemble of asymmetr...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
Akemann G, Byun S-S. The Product of $m$ real $N\times N$ Ginibre matrices: Real eigenvalues in the ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Akemann G, Burda Z. Universal microscopic correlation functions for products of independent Ginibre ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Abstract. In the recent publication [E. Kanzieper and G. Akemann, Phys. Rev. Lett. 95, 230201 (2005)...
Kanzieper E, Akemann G. Statistics of Real Eigenvalues in Ginibre's Ensemble of Random Real Matrices...
The integrable structure of Ginibre's orthogonal ensemble of random matrices is looked at through th...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We give a closed form for the correlation functions of ensembles of a class of asymmetric real matri...
We give a closed form for the correlation functions of ensembles of a class of asymmetric real matri...
We analyse correlations of eigenvectors in Ginibre's and Girko's ensembles of Gaussian, non-Hermitia...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
© 2011 Dr. Anthony MaysThe eigenvalue correlation functions for random matrix ensembles are fundamen...
We calculate the average of two characteristic polynomials for the real Ginibre ensemble of asymmetr...
A generalization of the Ginibre ensemble of non-Hermitian random square matrices is introduced. The ...
Akemann G, Byun S-S. The Product of $m$ real $N\times N$ Ginibre matrices: Real eigenvalues in the ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...
Akemann G, Burda Z. Universal microscopic correlation functions for products of independent Ginibre ...
Random matrix theory allows one to deduce the eigenvalue spectrum of a large matrix given only stati...