On the Sensitivity of the Eigenvalue Problem $Ax = \lambda Bx$
- 1 December 1972
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in SIAM Journal on Numerical Analysis
- Vol. 9 (4) , 669-686
- https://doi.org/10.1137/0709056
Abstract
This paper considers the sensitivity of the eigenvalues and eigenvectors of the generalized matrix eigenvalue problem $Ax = \lambda Bx$ to perturbations of A and B. The notion of a deflating subspace for the problem is introduced, and error bounds for approximate deflating subspaces obtained. The bounds also provide information about the eigenvalues of the problem. The resulting perturbation bounds estimate realistically the sensitivity of the eigenvalues, even when B is singular or nearly singular. The results are applied to the important special case where A is Hermitian and B is positive definite.
Keywords
This publication has 3 references indexed in Scilit:
- An Algorithm for the Ill-Conditioned Generalized Eigenvalue ProblemSIAM Journal on Numerical Analysis, 1972
- Error Bounds for Approximate Invariant Subspaces of Closed Linear OperatorsSIAM Journal on Numerical Analysis, 1971
- $Ax = \lambda Bx$ and the Generalized EigenproblemSIAM Journal on Numerical Analysis, 1970