On the rank of a random symmetric matrix in the large‐deviation regime

Abstract Let be an random symmetric matrix with independent identically distributed subgaussian entries of unit variance. We prove the following large‐deviation inequality for the rank of : for all , for some fixed constants . A similar large‐deviation inequality is proven for the rank of the adjacency matrix of dense Erdös–Rényi graphs. This corank estimate enhances the recent breakthrough of Campos, Jensen, Michelen, and Sahasrabudhe that the singularity probability of a random symmetric matrix is exponentially small, and echoes a large‐deviation inequality of Mark Rudelson for the rank of a random matrix with independent entries.

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Publication Details

Journal
Journal of the London Mathematical Society
Published
2026-05-30
DOI
https://doi.org/10.1112/jlms.70581
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On the rank of a random symmetric matrix in the large‐deviation regime

Y. F. Han
Journal of the London Mathematical Society
Random Matrices and Applications
article

On the rank of a random symmetric matrix in the large‐deviation regime

Y. F. Han
article en

Abstract

Abstract Let be an random symmetric matrix with independent identically distributed subgaussian entries of unit variance. We prove the following large‐deviation inequality for the rank of : for all , for some fixed constants . A similar large‐deviation inequality is proven for the rank of the adjacency matrix of dense Erdös–Rényi graphs. This corank estimate enhances the recent breakthrough of Campos, Jensen, Michelen, and Sahasrabudhe that the singularity probability of a random symmetric matrix is exponentially small, and echoes a large‐deviation inequality of Mark Rudelson for the rank of a random matrix with independent entries.

Journal of the London Mathematical SocietyVol. 113(6)
Massachusetts Institute of Technology (US)
Simons Foundation
Openalex Percentile: Top 99%
Random Matrices and Applications
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