{"title":"Cumulants in rectangular finite free probability and beta-deformed singular values","authors":"Cesar Cuenca","doi":"arxiv-2409.04305","DOIUrl":null,"url":null,"abstract":"Motivated by the $(q,\\gamma)$-cumulants, introduced by Xu [arXiv:2303.13812]\nto study $\\beta$-deformed singular values of random matrices, we define the\n$(n,d)$-rectangular cumulants for polynomials of degree $d$ and prove several\nmoment-cumulant formulas by elementary algebraic manipulations; the proof\nnaturally leads to quantum analogues of the formulas. We further show that the\n$(n,d)$-rectangular cumulants linearize the $(n,d)$-rectangular convolution\nfrom Finite Free Probability and that they converge to the $q$-rectangular free\ncumulants from Free Probability in the regime where $d\\to\\infty$, $1+n/d\\to\nq\\in[1,\\infty)$. As an application, we employ our formulas to study limits of\nsymmetric empirical root distributions of sequences of polynomials with\nnonnegative roots. One of our results is akin to a theorem of Kabluchko\n[arXiv:2203.05533] and shows that applying the operator\n$\\exp(-\\frac{s^2}{n}x^{-n}D_xx^{n+1}D_x)$, where $s>0$, asymptotically amounts\nto taking the rectangular free convolution with the rectangular Gaussian\ndistribution of variance $qs^2/(q-1)$.","PeriodicalId":501245,"journal":{"name":"arXiv - MATH - Probability","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.04305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Motivated by the $(q,\gamma)$-cumulants, introduced by Xu [arXiv:2303.13812]
to study $\beta$-deformed singular values of random matrices, we define the
$(n,d)$-rectangular cumulants for polynomials of degree $d$ and prove several
moment-cumulant formulas by elementary algebraic manipulations; the proof
naturally leads to quantum analogues of the formulas. We further show that the
$(n,d)$-rectangular cumulants linearize the $(n,d)$-rectangular convolution
from Finite Free Probability and that they converge to the $q$-rectangular free
cumulants from Free Probability in the regime where $d\to\infty$, $1+n/d\to
q\in[1,\infty)$. As an application, we employ our formulas to study limits of
symmetric empirical root distributions of sequences of polynomials with
nonnegative roots. One of our results is akin to a theorem of Kabluchko
[arXiv:2203.05533] and shows that applying the operator
$\exp(-\frac{s^2}{n}x^{-n}D_xx^{n+1}D_x)$, where $s>0$, asymptotically amounts
to taking the rectangular free convolution with the rectangular Gaussian
distribution of variance $qs^2/(q-1)$.