Rank one perturbation with a generalized eigenvector
Abstract
The relationship between the Jordan structures of two matrices sufficiently close has been largely studied in the literature, among which a square matrix and its rank one updated matrix of the form are of special interest. The eigenvalues of , where is an eigenvector of and is an arbitrary vector, were first expressed in terms of eigenvalues of by Brauer in 1952. Jordan structures of and have been studied, and similar results were obtained when a generalized eigenvector of was used instead of an eigenvector. However, in the latter case, restrictions on were put so that the spectrum of the updated matrix is the same as that of . There does not seem to be results on the eigenvalues and generalized eigenvectors of when is a generalized eigenvector and is an arbitrary vector. In this paper we show that the generalized eigenvectors of the updated matrix can be written in terms of those of when a generalized eigenvector of and an arbitrary vector are involved in the perturbation.
Keywords
Cite
@article{arxiv.2011.14951,
title = {Rank one perturbation with a generalized eigenvector},
author = {Faith Zhang},
journal= {arXiv preprint arXiv:2011.14951},
year = {2020}
}