Spectrum occupies pseudospectrum for random matrices with diagonal deformation and variance profile

We consider n × n non-Hermitian random matrices with independent entries and a variance profile, as well as an additive deterministic diagonal deformation. We show that their empirical eigenvalue distribution converges to a limiting density as n tends to infinity and that the support of this density in the complex plane exactly coincides with the ε-pseudospectrum in the consecutive limits n → ∞ and ε → 0. The limiting spectral measure is identified as the Brown measure of a deformed operator-valued circular element with the help of [6].

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Publication Details

Journal
Random Matrices Theory and Application
Published
2026-09-18
DOI
https://doi.org/10.1142/s2010326326500139
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Spectrum occupies pseudospectrum for random matrices with diagonal deformation and variance profile

Johannes Alt, Torben Krüger
Random Matrices Theory and Application
Random Matrices and Applications
article

Spectrum occupies pseudospectrum for random matrices with diagonal deformation and variance profile

Johannes Alt, Torben Krüger
article en

Abstract

We consider n × n non-Hermitian random matrices with independent entries and a variance profile, as well as an additive deterministic diagonal deformation. We show that their empirical eigenvalue distribution converges to a limiting density as n tends to infinity and that the support of this density in the complex plane exactly coincides with the ε-pseudospectrum in the consecutive limits n → ∞ and ε → 0. The limiting spectral measure is identified as the Brown measure of a deformed operator-valued circular element with the help of [6].

Random Matrices Theory and Application
Twitter (United States) (US)
Villum Fonden, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 99%
Random Matrices and Applications
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