English

Eigenvalue stability of Hermitian and normal matrices

Functional Analysis 2026-03-25 v1 Analysis of PDEs Classical Analysis and ODEs Metric Geometry Spectral Theory

Abstract

The ordered eigenvalues define a Lipschitz map on the real vector space of Hermitian d×dd \times d matrices. We prove that this map acts continuously, but not uniformly continuously, by superposition on the Sobolev spaces W1,qW^{1,q}, for all 1q<1 \le q < \infty, on bounded open domains. For q=q=\infty, the action is still well-defined and bounded but not continuous. We show that this stability result extends to normal matrices, where the eigenvalues are naturally interpreted as multivalued Sobolev functions in the sense of Almgren. Several applications are given, including the stability of singular values, condition numbers of matrices, surface area of eigenvalue graphs, and compact self-adjoint operators in Hilbert space.

Keywords

Cite

@article{arxiv.2603.23056,
  title  = {Eigenvalue stability of Hermitian and normal matrices},
  author = {Adam Parusiński and Armin Rainer},
  journal= {arXiv preprint arXiv:2603.23056},
  year   = {2026}
}

Comments

56 pages

R2 v1 2026-07-01T11:35:13.494Z