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<titleInfo><title>Fluctuations for differences of linear eigenvalue statistics for sample covariance 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>







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  <namePart>Random matrices, universality and disordered quantum systems</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
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  <namePart>International IST Doctoral Program</namePart>
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<abstract lang="eng">We prove a central limit theorem for the difference of linear eigenvalue statistics of a sample covariance matrix W˜ and its minor W. We find that the fluctuation of this difference is much smaller than those of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of W˜ and W. Our result identifies the fluctuation of the spatial derivative of the approximate Gaussian field in the recent paper by Dumitru and Paquette. Unlike in a similar result for Wigner matrices, for sample covariance matrices, the fluctuation may entirely vanish.</abstract>

<originInfo><publisher>World Scientific Publishing</publisher><dateIssued encoding="w3cdtf">2020</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>Random Matrices: Theory and Application</title></titleInfo>
  <identifier type="issn">2010-3263</identifier>
  <identifier type="eIssn">2010-3271</identifier>
  <identifier type="arXiv">1806.08751</identifier>
  <identifier type="ISI">000547464400001</identifier><identifier type="doi">10.1142/S2010326320500069</identifier>
<part><detail type="volume"><number>9</number></detail><detail type="issue"><number>3</number></detail>
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<ieee>G. Cipolloni and L. Erdös, “Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices,” &lt;i&gt;Random Matrices: Theory and Application&lt;/i&gt;, vol. 9, no. 3. World Scientific Publishing, 2020.</ieee>
<ista>Cipolloni G, Erdös L. 2020. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. 9(3), 2050006.</ista>
<chicago>Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” &lt;i&gt;Random Matrices: Theory and Application&lt;/i&gt;. World Scientific Publishing, 2020. &lt;a href=&quot;https://doi.org/10.1142/S2010326320500069&quot;&gt;https://doi.org/10.1142/S2010326320500069&lt;/a&gt;.</chicago>
<ama>Cipolloni G, Erdös L. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. &lt;i&gt;Random Matrices: Theory and Application&lt;/i&gt;. 2020;9(3). doi:&lt;a href=&quot;https://doi.org/10.1142/S2010326320500069&quot;&gt;10.1142/S2010326320500069&lt;/a&gt;</ama>
<mla>Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” &lt;i&gt;Random Matrices: Theory and Application&lt;/i&gt;, vol. 9, no. 3, 2050006, World Scientific Publishing, 2020, doi:&lt;a href=&quot;https://doi.org/10.1142/S2010326320500069&quot;&gt;10.1142/S2010326320500069&lt;/a&gt;.</mla>
<short>G. Cipolloni, L. Erdös, Random Matrices: Theory and Application 9 (2020).</short>
<apa>Cipolloni, G., &amp;#38; Erdös, L. (2020). Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. &lt;i&gt;Random Matrices: Theory and Application&lt;/i&gt;. World Scientific Publishing. &lt;a href=&quot;https://doi.org/10.1142/S2010326320500069&quot;&gt;https://doi.org/10.1142/S2010326320500069&lt;/a&gt;</apa>
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