AbstractWe give relative perturbation bounds for eigenvalues and perturbation bounds for eigenspaces of a hyperbolic eigenvalue problem Hx=λJx, where H is a positive definite matrix and J is a diagonal matrix of signs. We consider two types of perturbations: when a graded matrix H=D*AD is perturbed in a graded sense to H+δH=D*(A+δA)D, and the multiplicative perturbations of the form H+δH=(I+E)*H(I+E). Our bounds are simple to compute, compare well to the classical results, and can be used when analyzing numerical algorithms
AbstractFor estimating error bound of computed eigenvalues of a matrix, we need more practical pertu...
AbstractThere is now a large literature on structured perturbation bounds for eigenvalue problems of...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
AbstractWe give relative perturbation bounds for eigenvalues and perturbation bounds for eigenspaces...
AbstractWe give relative perturbation bounds for singular values and perturbation bounds for singula...
AbstractWe give a sharp estimate for the eigenvectors of a positive definite Hermitian matrix under ...
AbstractWe obtain eigenvalue perturbation results for a factorised Hermitian matrix H=GJG∗ where J2=...
AbstractWe give a bound for the perturbations of invariant subspaces of graded indefinite Hermitian ...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
We give a sharp estimate for the eigenvectors of a positive definite Hermitian matrix under a floati...
AbstractPerturbation bounds for the relative error in the eigenvalues of diagonalizable and singular...
AbstractThe hyperbolic eigenvector matrix is a matrix X which simultaneously diagonalizes the pair (...
AbstractWe give the perturbation bounds for the eigenprojections of a Hermitian matrix H = GJG∗, whe...
AbstractLet A and B be Hermitian matrices, and let c(A, B) = inf{|xH(A + iB)x|:‖ = 1}. The eigenvalu...
AbstractFor estimating error bound of computed eigenvalues of a matrix, we need more practical pertu...
AbstractThere is now a large literature on structured perturbation bounds for eigenvalue problems of...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
AbstractWe give relative perturbation bounds for eigenvalues and perturbation bounds for eigenspaces...
AbstractWe give relative perturbation bounds for singular values and perturbation bounds for singula...
AbstractWe give a sharp estimate for the eigenvectors of a positive definite Hermitian matrix under ...
AbstractWe obtain eigenvalue perturbation results for a factorised Hermitian matrix H=GJG∗ where J2=...
AbstractWe give a bound for the perturbations of invariant subspaces of graded indefinite Hermitian ...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...
We give a sharp estimate for the eigenvectors of a positive definite Hermitian matrix under a floati...
AbstractPerturbation bounds for the relative error in the eigenvalues of diagonalizable and singular...
AbstractThe hyperbolic eigenvector matrix is a matrix X which simultaneously diagonalizes the pair (...
AbstractWe give the perturbation bounds for the eigenprojections of a Hermitian matrix H = GJG∗, whe...
AbstractLet A and B be Hermitian matrices, and let c(A, B) = inf{|xH(A + iB)x|:‖ = 1}. The eigenvalu...
AbstractFor estimating error bound of computed eigenvalues of a matrix, we need more practical pertu...
AbstractThere is now a large literature on structured perturbation bounds for eigenvalue problems of...
In this paper, strong relative perturbation bounds are developed for a number of linear algebra prob...