We define and evaluate the normwise backward error and condition numbers for the multiparameter eigenvalue problem (MEP). The pseudospectrum for the MEP is defined and characterized. We show that the distance from a right definite MEP to the closest non right definite MEP is related to the smallest
Backward error and condition of polynomial eigenvalue problems
✍ Scribed by Françoise Tisseur
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 217 KB
- Volume
- 309
- Category
- Article
- ISSN
- 0024-3795
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✦ Synopsis
We develop normwise backward errors and condition numbers for the polynomial eigenvalue problem. The standard way of dealing with this problem is to reformulate it as a generalized eigenvalue problem (GEP). For the special case of the quadratic eigenvalue problem (QEP), we show that solving the QEP by applying the QZ algorithm to a corresponding GEP can be backward unstable. The QEP can be reformulated as a GEP in many ways. We investigate the sensitivity of a given eigenvalue to perturbations in each of the GEP formulations and identify which formulations are to be preferred for large and small eigenvalues, respectively.
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