We study eigenvectors in the deformed Gaussian unitary ensemble of random matrices $H=W\tilde{H}W$, where $\tilde{H}$ is a random matrix from the Gaussian unitary ensemble and W is a deterministic diagonal matrix with positive entries. Using the supersymmetry approach we calculate analytically the moments and the distribution function of the eigenvectors components for a generic matrix W. We show that specific choices of W can modify significantly the nature of the eigenvectors changing them from extended to critical to localized. Our analytical results are supported by numerical simulations
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
We study eigenvectors in the deformed Gaussian unitary ensemble of random matrices $H=W\tilde{H}W$, ...
We study eigenvectors in the deformed Gaussian unitary ensemble of random matrices $H=W\tilde{H}W$, ...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
We study the eigenvalues and the eigenvectors of N X N structured random matrices of the form H = W ...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
We study the eigenvalues and the eigenvectors of N X N structured random matrices of the form H = W ...
In order to have a better understanding of finite random matrices with non-Gaussian entries, we stud...
International audienceIn order to have a better understanding of finite random matrices with non-Gau...
International audienceIn order to have a better understanding of finite random matrices with non-Gau...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
We consider eigenvectors of the Hamiltonian H0 perturbed by a generic perturbation V modelled by a r...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
We study eigenvectors in the deformed Gaussian unitary ensemble of random matrices $H=W\tilde{H}W$, ...
We study eigenvectors in the deformed Gaussian unitary ensemble of random matrices $H=W\tilde{H}W$, ...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
We study the eigenvalues and the eigenvectors of N X N structured random matrices of the form H = W ...
In this thesis we begin by presenting an introduction on random matrices, their different classes an...
We study the eigenvalues and the eigenvectors of N X N structured random matrices of the form H = W ...
In order to have a better understanding of finite random matrices with non-Gaussian entries, we stud...
International audienceIn order to have a better understanding of finite random matrices with non-Gau...
International audienceIn order to have a better understanding of finite random matrices with non-Gau...
We study statistical properties of the eigenvectors of non-Hermitian random matrices, concentrating ...
We consider eigenvectors of the Hamiltonian H0 perturbed by a generic perturbation V modelled by a r...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
This thesis consists in two independent parts. The first part pertains to the study of eigenvectors ...
Eigenvectors of large matrices (and graphs) play an essential role in combinatorics and theoretical ...