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Relative perturbation results for eigenvalues and eigenvectors of diagonalisable matrices
Authors:S C Eisenstat  I C F Ipsen
Institution:(1) Department of Computer Science, Yale University, P.O. Box 208285, 06520-8285 New Haven, CT, USA;(2) Department of Mathematics, North Carolina State University, P.O. Box 8205, 27695-8205 Raleigh, NC, USA
Abstract:Let 
$$\hat \lambda $$
and 
$$\hat x$$
be a perturbed eigenpair of a diagonalisable matrixA. The problem is to bound the error in 
$$\hat \lambda $$
and 
$$\hat \lambda $$
. We present one absolute perturbation bound and two relative perturbation bounds. The absolute perturbation bound is an extension of Davis and Kahan's sin θ Theorem from Hermitian to diagonalisable matrices. The two relative perturbation bounds assume that 
$$\hat \lambda $$
and 
$$\hat x$$
are an exact eigenpair of a perturbed matrixD 1 AD 2 , whereD 1 andD 2 are non-singular, butD 1 AD 2 is not necessarily diagonalisable. We derive a bound on the relative error in 
$$\hat \lambda $$
and a sin θ theorem based on a relative eigenvalue separation. The perturbation bounds contain both the deviation ofD 1 andD 2 from similarity and the deviation ofD 2 from identity. This work was partially supported by NSF grant CCR-9400921.
Keywords:15A18  15A42  15A60  65F15  65F35  65G99
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