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<titleInfo><title>Spectral independence of almost fully correlated random matrices</title></titleInfo>


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<name type="personal">
  <namePart type="given">Oleksii</namePart>
  <namePart type="family">Kolupaiev</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">149b70d4-896a-11ed-bdf8-8c63fd44ca61</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-1491-4623</description></name>







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  <namePart>Random matrices beyond Wigner-Dyson-Mehta</namePart>
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<abstract lang="eng">We study the joint spectral properties of two coupled random matrices H(1) and H(2), which are either real symmetric or complex Hermitian. The entries of these matrices exhibit polynomially decaying correlations, both within each matrix and between them. Surprisingly, we find that under extremely weak decorrelation condition, permitting H(1) and H(2) to be almost fully correlated, the fluctuations of their individual eigenvalues in the bulk of the spectrum are still asymptotically independent. Furthermore, we demonstrate that this decorrelation condition is optimal.</abstract>

<originInfo><publisher>Bernoulli Society for Mathematical Statistics and Probability</publisher><dateIssued encoding="w3cdtf">2026</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>correlated random matrix</topic><topic>eigenvalue perturbation theory</topic><topic>Local law</topic><topic>Wigner-type matrix</topic>
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<relatedItem type="host"><titleInfo><title>Bernoulli</title></titleInfo>
  <identifier type="issn">1350-7265</identifier>
  <identifier type="arXiv">2503.21472</identifier><identifier type="doi">10.3150/26-bej1976</identifier>
<part><detail type="volume"><number>32</number></detail><detail type="issue"><number>4</number></detail><extent unit="pages">2999-3023</extent>
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<short>O. Kolupaiev, Bernoulli 32 (2026) 2999–3023.</short>
<ama>Kolupaiev O. Spectral independence of almost fully correlated random matrices. &lt;i&gt;Bernoulli&lt;/i&gt;. 2026;32(4):2999-3023. doi:&lt;a href=&quot;https://doi.org/10.3150/26-bej1976&quot;&gt;10.3150/26-bej1976&lt;/a&gt;</ama>
<chicago>Kolupaiev, Oleksii. “Spectral Independence of Almost Fully Correlated Random Matrices.” &lt;i&gt;Bernoulli&lt;/i&gt;. Bernoulli Society for Mathematical Statistics and Probability, 2026. &lt;a href=&quot;https://doi.org/10.3150/26-bej1976&quot;&gt;https://doi.org/10.3150/26-bej1976&lt;/a&gt;.</chicago>
<mla>Kolupaiev, Oleksii. “Spectral Independence of Almost Fully Correlated Random Matrices.” &lt;i&gt;Bernoulli&lt;/i&gt;, vol. 32, no. 4, Bernoulli Society for Mathematical Statistics and Probability, 2026, pp. 2999–3023, doi:&lt;a href=&quot;https://doi.org/10.3150/26-bej1976&quot;&gt;10.3150/26-bej1976&lt;/a&gt;.</mla>
<ista>Kolupaiev O. 2026. Spectral independence of almost fully correlated random matrices. Bernoulli. 32(4), 2999–3023.</ista>
<ieee>O. Kolupaiev, “Spectral independence of almost fully correlated random matrices,” &lt;i&gt;Bernoulli&lt;/i&gt;, vol. 32, no. 4. Bernoulli Society for Mathematical Statistics and Probability, pp. 2999–3023, 2026.</ieee>
<apa>Kolupaiev, O. (2026). Spectral independence of almost fully correlated random matrices. &lt;i&gt;Bernoulli&lt;/i&gt;. Bernoulli Society for Mathematical Statistics and Probability. &lt;a href=&quot;https://doi.org/10.3150/26-bej1976&quot;&gt;https://doi.org/10.3150/26-bej1976&lt;/a&gt;</apa>
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