English

Eigenvectors of a matrix under random perturbation

Probability 2020-03-19 v5

Abstract

In this text, based on elementary computations, we provide a perturbative expansion of the coordinates of the eigenvectors of a Hermitian matrix of large size perturbed by a random matrix with small operator norm whose entries in the eigenvector basis of the first one are independent, centered, with a variance profile. This is done through a perturbative expansion of spectral measures associated to the state defined by a given vector.

Keywords

Cite

@article{arxiv.1801.10512,
  title  = {Eigenvectors of a matrix under random perturbation},
  author = {Florent Benaych-Georges and Nathanaël Enriquez and Alkéos Michaïl},
  journal= {arXiv preprint arXiv:1801.10512},
  year   = {2020}
}

Comments

15 pages, 3 figures. To appear in RMTA

R2 v1 2026-06-23T00:06:12.559Z