Gaps between Singular Values of Sample Covariance Matrices

Fuente: arXiv
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Autori principali: Christoffersen, Nicholas, Luh, Kyle, O'Rourke, Sean, Shearer, Calum
Natura: Preprint
Pubblicazione: 2025
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author Christoffersen, Nicholas
Luh, Kyle
O'Rourke, Sean
Shearer, Calum
author_facet Christoffersen, Nicholas
Luh, Kyle
O'Rourke, Sean
Shearer, Calum
contents We study the gaps between consecutive singular values of random rectangular matrices. Specifically, if $M$ is an $n \times p$ random matrix with independent and identically distributed entries and $Σ$ is a $n \times n$ deterministic positive definite matrix, then under some technical assumptions we give lower bounds for the gaps between consecutive singular values of $Σ^{1/2} M$. As a consequence, we show that sample covariance matrices have simple spectrum with high probability. Our results resolve a conjecture of Vu [{\em Probab. Surv.}, 18:179--200, 2021]. We also discuss some applications, including a bound on the spacings of eigenvalues of the adjacency matrix of random bipartite graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2502_15002
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gaps between Singular Values of Sample Covariance Matrices
Christoffersen, Nicholas
Luh, Kyle
O'Rourke, Sean
Shearer, Calum
Probability
60B20
We study the gaps between consecutive singular values of random rectangular matrices. Specifically, if $M$ is an $n \times p$ random matrix with independent and identically distributed entries and $Σ$ is a $n \times n$ deterministic positive definite matrix, then under some technical assumptions we give lower bounds for the gaps between consecutive singular values of $Σ^{1/2} M$. As a consequence, we show that sample covariance matrices have simple spectrum with high probability. Our results resolve a conjecture of Vu [{\em Probab. Surv.}, 18:179--200, 2021]. We also discuss some applications, including a bound on the spacings of eigenvalues of the adjacency matrix of random bipartite graphs.
title Gaps between Singular Values of Sample Covariance Matrices
topic Probability
60B20
url https://arxiv.org/abs/2502.15002