Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding an external source to the model can have the effect of shifting some of the matrix eigenvalues, which corresponds to shifting some of the energy levels of the physical system. We consider the case when the n×n external source matrix has two distinct real eigenvalues: a with multiplicity r and zero with multiplicity n−r. For a Gaussian potential, it was shown by Péché (Probab. Theory Relat. Fields 134:127–173, 2006) that when r is fixed or grows sufficiently slowly with n (a small-rank source), r eigenvalues are expected to exit the main bulk for |a| large enough. Furthermore, at the critical value of a when the outliers are at the edge of a ...
We consider nxn matrices whose (i, j)th entry is f(X-i(T) X-j), where X-1,..., X-n are i.i.d. standa...
We describe the distribution of the first finite number of eigenvalues in a newly-forming band of th...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
Random Hermitian matrices with a source term arise, for instance, in the study of non-intersecting B...
This is the second part of a study of the limiting distributions of the top eigenvalues of a Hermiti...
Consider a Hermitian matrix model under an external potential with spiked external source. When the ...
Consider a Hermitian matrix model under an external potential with spiked external source. When the ...
Random Hermitian matrices with a source term arise, for instance, in the study of non-intersecting B...
We consider unitary random matrix ensembles Z(n,s,t)(-1)e(-ntr) V(s,t(M))dM on the space of Hermitia...
We study Hermitian random matrix models with an external source matrix which has equispaced eigenval...
We study the asymptotic behavior of the eigenvalues of Gaussian perturbations of large Hermitian ran...
We study the eigenvalue correlations of random Hermitian n × n matrices of the form S = M +∈H, where...
We describe a new universality class for unitary invariant random matrix ensembles. It arises in the...
We consider nxn matrices whose (i, j)th entry is f(X-i(T) X-j), where X-1,..., X-n are i.i.d. standa...
We describe the distribution of the first finite number of eigenvalues in a newly-forming band of th...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
Random Hermitian matrices are used to model complex systems without time-reversal invariance. Adding...
Random Hermitian matrices with a source term arise, for instance, in the study of non-intersecting B...
This is the second part of a study of the limiting distributions of the top eigenvalues of a Hermiti...
Consider a Hermitian matrix model under an external potential with spiked external source. When the ...
Consider a Hermitian matrix model under an external potential with spiked external source. When the ...
Random Hermitian matrices with a source term arise, for instance, in the study of non-intersecting B...
We consider unitary random matrix ensembles Z(n,s,t)(-1)e(-ntr) V(s,t(M))dM on the space of Hermitia...
We study Hermitian random matrix models with an external source matrix which has equispaced eigenval...
We study the asymptotic behavior of the eigenvalues of Gaussian perturbations of large Hermitian ran...
We study the eigenvalue correlations of random Hermitian n × n matrices of the form S = M +∈H, where...
We describe a new universality class for unitary invariant random matrix ensembles. It arises in the...
We consider nxn matrices whose (i, j)th entry is f(X-i(T) X-j), where X-1,..., X-n are i.i.d. standa...
We describe the distribution of the first finite number of eigenvalues in a newly-forming band of th...
An important topic in random matrix theory is the study of the statistical properties of the eigenva...