On the perturbation series for eigenvalues and eigenprojections
Functional Analysis
2019-10-21 v1 Probability
Statistics Theory
Statistics Theory
Abstract
A standard perturbation result states that perturbed eigenvalues and eigenprojections admit a perturbation series provided that the operator norm of the perturbation is smaller than a constant times the corresponding eigenvalue isolation distance. In this paper, we show that the same holds true under a weighted condition, where the perturbation is symmetrically normalized by the square-root of the reduced resolvent. This weighted condition originates in random perturbations where it leads to significant improvements.
Keywords
Cite
@article{arxiv.1910.08460,
title = {On the perturbation series for eigenvalues and eigenprojections},
author = {Martin Wahl},
journal= {arXiv preprint arXiv:1910.08460},
year = {2019}
}
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40 pages