Normal typicality and dynamical typicality for a random block-band matrix model

We prove <i>normal typicality</i> and <i>dynamical typicality</i> for a (centered) random block-band matrix model with block-dependent variances. A key feature of our model is that we achieve intermediate equilibration times, an aspect that has not been proven rigorously in any model before. Our proof builds on recently established concentration estimates for products of resolvents of Wigner type random matrices (Erdős and Riabov in Commun Math Phys 405(12): 282, 2024) and an intricate analysis of the deterministic approximation.

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Publication Details

Journal
Letters in Mathematical Physics
Published
2025-12-26
DOI
https://doi.org/10.1007/s11005-025-02037-5
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Normal typicality and dynamical typicality for a random block-band matrix model

Joscha Henheik, László Erdős, Cornelia Vogel
Letters in Mathematical Physics
Random Matrices and Applications
article

Normal typicality and dynamical typicality for a random block-band matrix model

Joscha Henheik, László Erdős, Cornelia Vogel
article en

Abstract

We prove <i>normal typicality</i> and <i>dynamical typicality</i> for a (centered) random block-band matrix model with block-dependent variances. A key feature of our model is that we achieve intermediate equilibration times, an aspect that has not been proven rigorously in any model before. Our proof builds on recently established concentration estimates for products of resolvents of Wigner type random matrices (Erdős and Riabov in Commun Math Phys 405(12): 282, 2024) and an intricate analysis of the deterministic approximation.

Letters in Mathematical PhysicsVol. 116(1)
University of Geneva (CH), Institute of Science and Technology Austria (AT), LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Institute of Science and Technology Austria, European Commission, Deutsche Forschungsgemeinschaft, Staatssekretariat für Bildung, Forschung und Innovation
Openalex Percentile: Top 64%
Random Matrices and Applications
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