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Relative Perturbation Bounds for Eigenvalues of Symmetric Positive Definite Diagonally Dominant Matrices

Published: 01 February 2009 Publication History

Abstract

For a symmetric positive semidefinite diagonally dominant matrix, if its off-diagonal entries and its diagonally dominant parts for all rows (which are defined for a row as the diagonal entry subtracted by the sum of absolute values of off-diagonal entries in that row) are known to a certain relative accuracy, we show that its eigenvalues are known to the same relative accuracy. Specifically, we prove that if such a matrix is perturbed in a way that each off-diagonal entry and each diagonally dominant part have relative errors bounded by some $\epsilon$, then all its eigenvalues have relative errors bounded by $\epsilon$. The result is extended to the generalized eigenvalue problem.

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cover image SIAM Journal on Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications  Volume 31, Issue 1
February 2009
201 pages

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Society for Industrial and Applied Mathematics

United States

Publication History

Published: 01 February 2009

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  1. diagonal dominant matrix
  2. eigenvalues
  3. relative perturbation

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