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Main Authors: Dumitriu, Ioana, Flynn, JD, Wang, Zhichao
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.04832
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author Dumitriu, Ioana
Flynn, JD
Wang, Zhichao
author_facet Dumitriu, Ioana
Flynn, JD
Wang, Zhichao
contents We prove the equivalent of the Baik, Ben Arous, Péché (2004) phenomenon for a novel, doubly sparse model where both the Wigner noise matrix and signal vector(s) are sparse. Specifically, we consider a deformed sub-Gaussian sparse Wigner ensemble with a fixed number of sub-Gaussian spike vectors of the same-order sparsity added. We show that spike vectors with signals greater than one are correlated with the top eigenvectors of the deformed ensemble and that each spike vector of signal greater than one induces an outlier eigenvalue. Notably, our results hold in the supercritical sparsity regime for the Wigner matrix ($q \gg \frac{\log n}{n}$) and for any sparse spike vector with an unbounded number of entries ($np\to \infty$). No further relationship between the sparsities of the noise matrix ($q$) and spike vectors ($p$) is necessary. This generalizes the work of Benaych-Georges and Nadakuditi (2010) and Péché (2005).
format Preprint
id arxiv_https___arxiv_org_abs_2603_04832
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle BBP Phase Transition for a Doubly Sparse Deformed Model
Dumitriu, Ioana
Flynn, JD
Wang, Zhichao
Probability
We prove the equivalent of the Baik, Ben Arous, Péché (2004) phenomenon for a novel, doubly sparse model where both the Wigner noise matrix and signal vector(s) are sparse. Specifically, we consider a deformed sub-Gaussian sparse Wigner ensemble with a fixed number of sub-Gaussian spike vectors of the same-order sparsity added. We show that spike vectors with signals greater than one are correlated with the top eigenvectors of the deformed ensemble and that each spike vector of signal greater than one induces an outlier eigenvalue. Notably, our results hold in the supercritical sparsity regime for the Wigner matrix ($q \gg \frac{\log n}{n}$) and for any sparse spike vector with an unbounded number of entries ($np\to \infty$). No further relationship between the sparsities of the noise matrix ($q$) and spike vectors ($p$) is necessary. This generalizes the work of Benaych-Georges and Nadakuditi (2010) and Péché (2005).
title BBP Phase Transition for a Doubly Sparse Deformed Model
topic Probability
url https://arxiv.org/abs/2603.04832