Restricted rank modification of the symmetric eigenvalue problem: Theoretical considerations

30Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The problem is considered how to obtain the eigenvalues and vectors of a matrix A+VVT where A is a symmetric matrix with known spectral decomposition and VVT is a positive semidefinite matrix of low rank. It is shown that the eigenvalues of A+VVT can easily be located to any desired accuracy by means of the inertia of the matrix I - VT(λ - A)-1V. The problem of determining the eigenvalues of A restricted to R(V)⊥ can be treated likewise. © 1988.

Cite

CITATION STYLE

APA

Arbenz, P., Gander, W., & Golub, G. H. (1988). Restricted rank modification of the symmetric eigenvalue problem: Theoretical considerations. Linear Algebra and Its Applications, 104(C), 75–95. https://doi.org/10.1016/0024-3795(88)90309-6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free