AbstractClassical interlacing for a Hermitian matrix A may be viewed as describing how many eigenvalues of A must be captured by intervals determined by eigenvalues of a principal submatrix  of A. If the size  is small relative to that of A, then it may be that no eigenvalues of A are guaranteed to be in an interval determined by only a few consecutive eigenvalues of Â. Here, we generalize classical interlacing theorems by using singular values of off-diagonal blocks of A to construct extended intervals that capture a larger number of eigenvalues of A. In the event that an appropriate off-diagonal block has low rank, the extended interval may be no wider, giving stronger statements than classical interlacing. The union of pairs of interva...
In this note we discuss interlacing inequalities relating the eigenvalues of a partitioned Hermitian...
AbstractA classical theorem of Cauchy states that the eigenvalues of a principal submatrix A0 of a H...
This thesis uses the method of interlacing polynomials to study the behaviour of eigenvalues of a ma...
Classical interlacing for a Hermitian matrix A may be viewed as describing how many eigenvalues of A...
Classical interlacing for a Hermitian matrix A may be viewed as describing how many eigenvalues of A...
AbstractClassical interlacing for a Hermitian matrix A may be viewed as describing how many eigenval...
AbstractA new proof of the complete interlacing theorem for singular values is presented. The techni...
AbstractThe well-known Cauchy theorem connects the eigenvalues of a Hermitian matrix to the eigenval...
AbstractWe give several old and some new applications of eigenvalue interlacing to matrices associat...
AbstractA new proof of the complete interlacing theorem for singular values is presented. The techni...
The aim of this letter is to point out some questionable issues raised by a paper of R. Fernandes pu...
This dissertation presents results from three areas of applicable matrix analysis: structured eigenv...
This dissertation presents results from three areas of applicable matrix analysis: structured eigenv...
AbstractIf two self-adjoint operators differ by a perturbation of rank 1, or if one is the compressi...
AbstractIn this note we discuss interlacing inequalities relating the eigenvalues of a partitioned H...
In this note we discuss interlacing inequalities relating the eigenvalues of a partitioned Hermitian...
AbstractA classical theorem of Cauchy states that the eigenvalues of a principal submatrix A0 of a H...
This thesis uses the method of interlacing polynomials to study the behaviour of eigenvalues of a ma...
Classical interlacing for a Hermitian matrix A may be viewed as describing how many eigenvalues of A...
Classical interlacing for a Hermitian matrix A may be viewed as describing how many eigenvalues of A...
AbstractClassical interlacing for a Hermitian matrix A may be viewed as describing how many eigenval...
AbstractA new proof of the complete interlacing theorem for singular values is presented. The techni...
AbstractThe well-known Cauchy theorem connects the eigenvalues of a Hermitian matrix to the eigenval...
AbstractWe give several old and some new applications of eigenvalue interlacing to matrices associat...
AbstractA new proof of the complete interlacing theorem for singular values is presented. The techni...
The aim of this letter is to point out some questionable issues raised by a paper of R. Fernandes pu...
This dissertation presents results from three areas of applicable matrix analysis: structured eigenv...
This dissertation presents results from three areas of applicable matrix analysis: structured eigenv...
AbstractIf two self-adjoint operators differ by a perturbation of rank 1, or if one is the compressi...
AbstractIn this note we discuss interlacing inequalities relating the eigenvalues of a partitioned H...
In this note we discuss interlacing inequalities relating the eigenvalues of a partitioned Hermitian...
AbstractA classical theorem of Cauchy states that the eigenvalues of a principal submatrix A0 of a H...
This thesis uses the method of interlacing polynomials to study the behaviour of eigenvalues of a ma...