The eigenvalue density of many large random matrices is well approximated by a deterministic measure, the \emph{self-consistent density of states}. In the present work, we show this behaviour for several classes of random matrices. In fact, we establish that, in each of these classes, the self-consistent density of states approximates the eigenvalue density of the random matrix on all scales slightly above the typical eigenvalue spacing. For large classes of random matrices, the self-consistent density of states exhibits several universal features. We prove that, under suitable assumptions, random Gram matrices and Hermitian random matrices with decaying correlations have a $1/3$-Hölder continuous self-consistent density of ...
We investigate random density matrices obtained by partial tracing larger random pure states. We sho...
AbstractConsider N×N Hermitian or symmetric random matrices H with independent entries, where the di...
We consider the local eigenvalue distribution of large self-adjoint N×N random matrices H=H∗ with ce...
The eigenvalue density of many large random matrices is well approximated by a deterministic measure...
The eigenvalue density of many large random matrices is well approximated by a deterministic measure...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
We consider real symmetric or complex hermitian random matrices with correlated entries. We prove lo...
We consider real symmetric or complex hermitian random matrices with correlated entries. We prove lo...
In the first part of the thesis we consider Hermitian random matrices. Firstly, we consider sample c...
We consider the local eigenvalue distribution of large self-adjoint N×N random matrices H=H∗ with ce...
We investigate random density matrices obtained by partial tracing larger random pure states. We sho...
AbstractConsider N×N Hermitian or symmetric random matrices H with independent entries, where the di...
We consider the local eigenvalue distribution of large self-adjoint N×N random matrices H=H∗ with ce...
The eigenvalue density of many large random matrices is well approximated by a deterministic measure...
The eigenvalue density of many large random matrices is well approximated by a deterministic measure...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
In the first part of this thesis we consider large random matrices with arbitrary expectation and a ...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
For large random matrices X with independent, centered entries but not necessarily identical varianc...
We consider real symmetric or complex hermitian random matrices with correlated entries. We prove lo...
We consider real symmetric or complex hermitian random matrices with correlated entries. We prove lo...
In the first part of the thesis we consider Hermitian random matrices. Firstly, we consider sample c...
We consider the local eigenvalue distribution of large self-adjoint N×N random matrices H=H∗ with ce...
We investigate random density matrices obtained by partial tracing larger random pure states. We sho...
AbstractConsider N×N Hermitian or symmetric random matrices H with independent entries, where the di...
We consider the local eigenvalue distribution of large self-adjoint N×N random matrices H=H∗ with ce...