English

Rank one perturbation with a generalized eigenvector

Spectral Theory 2020-12-01 v1

Abstract

The relationship between the Jordan structures of two matrices sufficiently close has been largely studied in the literature, among which a square matrix AA and its rank one updated matrix of the form A+xbA+xb^* are of special interest. The eigenvalues of A+xbA+xb^*, where xx is an eigenvector of AA and bb is an arbitrary vector, were first expressed in terms of eigenvalues of AA by Brauer in 1952. Jordan structures of AA and A+xbA+xb^* have been studied, and similar results were obtained when a generalized eigenvector of AA was used instead of an eigenvector. However, in the latter case, restrictions on bb were put so that the spectrum of the updated matrix is the same as that of AA. There does not seem to be results on the eigenvalues and generalized eigenvectors of A+xbA+xb^* when xx is a generalized eigenvector and bb 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 AA when a generalized eigenvector of AA and an arbitrary vector bb 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}
}
R2 v1 2026-06-23T20:36:25.137Z