English

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}
}

Comments

40 pages

R2 v1 2026-06-23T11:47:55.125Z