A note on outlier eigenvectors for sparse non-Hermitian perturbations

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Hauptverfasser: Galanis, Miltiadis, Louvaris, Michail
Format: Preprint
Veröffentlicht: 2026
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author Galanis, Miltiadis
Louvaris, Michail
author_facet Galanis, Miltiadis
Louvaris, Michail
contents We consider a sparse i.i.d.\ non-Hermitian random matrix model $X_n$ (with sparsity parameter $K_n$) and a deterministic finite-rank perturbation $E_n$. Assuming biorthogonality for $E_n$ and a growth condition on $K_n$, we outline a finite-rank resolvent reduction leading to asymptotics for the overlap between an outlier eigenvector of $Y_n:=X_n+E_n$ and the corresponding spike eigenspace. In particular, for an outlier spike $μ$ with $|μ|>1$, the squared projection of the associated (right) eigenvector onto the spike eigenspace converges in probability to $1-|μ|^{-2}$. Our result generalizes Theorem 1.6 of [HLN26] to general finite rank case solving Open Problem 5.
format Preprint
id arxiv_https___arxiv_org_abs_2603_03972
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A note on outlier eigenvectors for sparse non-Hermitian perturbations
Galanis, Miltiadis
Louvaris, Michail
Probability
Statistics Theory
60B20, 15B52
We consider a sparse i.i.d.\ non-Hermitian random matrix model $X_n$ (with sparsity parameter $K_n$) and a deterministic finite-rank perturbation $E_n$. Assuming biorthogonality for $E_n$ and a growth condition on $K_n$, we outline a finite-rank resolvent reduction leading to asymptotics for the overlap between an outlier eigenvector of $Y_n:=X_n+E_n$ and the corresponding spike eigenspace. In particular, for an outlier spike $μ$ with $|μ|>1$, the squared projection of the associated (right) eigenvector onto the spike eigenspace converges in probability to $1-|μ|^{-2}$. Our result generalizes Theorem 1.6 of [HLN26] to general finite rank case solving Open Problem 5.
title A note on outlier eigenvectors for sparse non-Hermitian perturbations
topic Probability
Statistics Theory
60B20, 15B52
url https://arxiv.org/abs/2603.03972