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<titleInfo><title>Mesoscopic central limit theorem for non-Hermitian random matrices</title></titleInfo>


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<name type="personal">
  <namePart type="given">Giorgio</namePart>
  <namePart type="family">Cipolloni</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">42198EFA-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-4901-7992</description></name>
<name type="personal">
  <namePart type="given">László</namePart>
  <namePart type="family">Erdös</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">4DBD5372-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-5366-9603</description></name>
<name type="personal">
  <namePart type="given">Dominik J</namePart>
  <namePart type="family">Schröder</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">408ED176-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-2904-1856</description></name>







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  <namePart>Random matrices beyond Wigner-Dyson-Mehta</namePart>
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<abstract lang="eng">We prove that the mesoscopic linear statistics ∑if(na(σi−z0)) of the eigenvalues {σi}i of large n×n non-Hermitian random matrices with complex centred i.i.d. entries are asymptotically Gaussian for any H20-functions f around any point z0 in the bulk of the spectrum on any mesoscopic scale 0&lt;a&lt;1/2. This extends our previous result (Cipolloni et al. in Commun Pure Appl Math, 2019. arXiv:1912.04100), that was valid on the macroscopic scale, a=0
, to cover the entire mesoscopic regime. The main novelty is a local law for the product of resolvents for the Hermitization of X at spectral parameters z1,z2 with an improved error term in the entire mesoscopic regime |z1−z2|≫n−1/2. The proof is dynamical; it relies on a recursive tandem of the characteristic flow method and the Green function comparison idea combined with a separation of the unstable mode of the underlying stability operator.</abstract>

<originInfo><publisher>Springer Nature</publisher><dateIssued encoding="w3cdtf">2024</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Probability Theory and Related Fields</title></titleInfo>
  <identifier type="issn">0178-8051</identifier>
  <identifier type="eIssn">1432-2064</identifier>
  <identifier type="arXiv">2210.12060</identifier>
  <identifier type="ISI">001118972500001</identifier><identifier type="doi">10.1007/s00440-023-01229-1</identifier>
<part><detail type="volume"><number>188</number></detail><extent unit="pages">1131-1182</extent>
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<short>G. Cipolloni, L. Erdös, D.J. Schröder, Probability Theory and Related Fields 188 (2024) 1131–1182.</short>
<apa>Cipolloni, G., Erdös, L., &amp;#38; Schröder, D. J. (2024). Mesoscopic central limit theorem for non-Hermitian random matrices. &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. Springer Nature. &lt;a href=&quot;https://doi.org/10.1007/s00440-023-01229-1&quot;&gt;https://doi.org/10.1007/s00440-023-01229-1&lt;/a&gt;</apa>
<ama>Cipolloni G, Erdös L, Schröder DJ. Mesoscopic central limit theorem for non-Hermitian random matrices. &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. 2024;188:1131-1182. doi:&lt;a href=&quot;https://doi.org/10.1007/s00440-023-01229-1&quot;&gt;10.1007/s00440-023-01229-1&lt;/a&gt;</ama>
<chicago>Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Mesoscopic Central Limit Theorem for Non-Hermitian Random Matrices.” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;. Springer Nature, 2024. &lt;a href=&quot;https://doi.org/10.1007/s00440-023-01229-1&quot;&gt;https://doi.org/10.1007/s00440-023-01229-1&lt;/a&gt;.</chicago>
<mla>Cipolloni, Giorgio, et al. “Mesoscopic Central Limit Theorem for Non-Hermitian Random Matrices.” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;, vol. 188, Springer Nature, 2024, pp. 1131–82, doi:&lt;a href=&quot;https://doi.org/10.1007/s00440-023-01229-1&quot;&gt;10.1007/s00440-023-01229-1&lt;/a&gt;.</mla>
<ista>Cipolloni G, Erdös L, Schröder DJ. 2024. Mesoscopic central limit theorem for non-Hermitian random matrices. Probability Theory and Related Fields. 188, 1131–1182.</ista>
<ieee>G. Cipolloni, L. Erdös, and D. J. Schröder, “Mesoscopic central limit theorem for non-Hermitian random matrices,” &lt;i&gt;Probability Theory and Related Fields&lt;/i&gt;, vol. 188. Springer Nature, pp. 1131–1182, 2024.</ieee>
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