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
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
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