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PreprintCC BY-NC-SA 4.0arXiv

Regional Stability and New Eigenvalue Perturbation Bounds

Abstract

Let A be an n× n symmetric matrix with eigenvalues λ1≥⋯≥λn. Let Ã:=A+E, where E is a symmetric noise matrix, and denote the eigenvalues of à by λ̃1≥⋯≥λ̃n. Bounding the perturbation $|\tilde λ_i -λ_i| $ is a central problem in linear algebra and numerical analysis. In this paper, we prove new perturbation results by exploring the actual interaction between E and the eigenvectors of A. In the setting where E does not act adversarially with respect to these vectors (for instance, if E is random), we obtain a considerable improvement over Weyl's inequality. One can routinely extend these results to the Hermitian and rectangular settings. We obtain the new bounds as corollaries of a regional stability result, which provides a sufficient condition for a region on the real line to be stable (containing the same number of eigenvalues) after the perturbation. This result is of independent interest. We prove our regional stability result using contour integral analysis. Our main new technical ingredient here is the \textit{double-jump} argument, which is robust and could be useful in many other situations involving Neumann series.

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BibTeX
@misc{tran2026regional,
  title = {{Regional Stability and New Eigenvalue Perturbation Bounds}},
  author = {Phuc Tran and Van Vu},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.14303},
  eprint = {2609.14303},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.14303},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - Regional Stability and New Eigenvalue Perturbation Bounds
AU  - Phuc Tran
AU  - Van Vu
PY  - 2026
DA  - 2026/09/13
PB  - arXiv
DO  - 10.48550/arxiv.2609.14303
UR  - https://arxiv.org/abs/2609.14303
AB  - Let A be an n× n symmetric matrix with eigenvalues λ_1≥⋯≥λ_n. Let Ã:=A+E, where E is a symmetric noise matrix, and denote the eigenvalues of à by λ̃_1≥⋯≥λ̃_n. Bounding the perturbation $|\tilde λ_i -λ_i| $ is a central problem in linear algebra and numerical analysis. In this paper, we prove new perturbation results by exploring the actual interaction between E and the eigenvectors of A. In the setting where E does not act adversarially with respect to these vectors (for instance, if E is random), we obtain a considerable improvement over Weyl's inequality. One can routinely extend these results to the Hermitian and rectangular settings. We obtain the new bounds as corollaries of a regional stability result, which provides a sufficient condition for a region on the real line to be stable (containing the same number of eigenvalues) after the perturbation. This result is of independent interest. We prove our regional stability result using contour integral analysis. Our main new technical ingredient here is the \textit{double-jump} argument, which is robust and could be useful in many other situations involving Neumann series.
ER  -