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• W2036189700 abstract "Generalizing the notion of an eigenvector, invariant subspaces are frequently used in the context of linear eigenvalue problems, leading to conceptually elegant and numerically stable formulations in applications that require the computation of several eigenvalues and/or eigenvectors. Similar benefits can be expected for polynomial eigenvalue problems, for which the concept of an invariant subspace needs to be replaced by the concept of an invariant pair. Little has been known so far about numerical aspects of such invariant pairs. The aim of this paper is to fill this gap. The behavior of invariant pairs under perturbations of the matrix polynomial is studied and a first-order perturbation expansion is given. From a computational point of view, we investigate how to best extract invariant pairs from a linearization of the matrix polynomial. Moreover, we describe efficient refinement procedures directly based on the polynomial formulation. Numerical experiments with matrix polynomials from a number of applications demonstrate the effectiveness of our extraction and refinement procedures." @default.
• W2036189700 created "2016-06-24" @default.
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• W2036189700 date "2011-08-01" @default.
• W2036189700 modified "2023-10-18" @default.
• W2036189700 title "Perturbation, extraction and refinement of invariant pairs for matrix polynomials" @default.
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• W2036189700 doi "https://doi.org/10.1016/j.laa.2010.06.029" @default.
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