{"title":"Short cycles of random permutations with cycle weights: Point processes approach","authors":"Oleksii Galganov , Andrii Ilienko","doi":"10.1016/j.spl.2024.110169","DOIUrl":null,"url":null,"abstract":"<div><p>We study the asymptotic behavior of short cycles of random permutations with cycle weights. More specifically, on a specially constructed metric space whose elements encode all possible cycles, we consider a point process containing all information on cycles of a given random permutation on <span><math><mrow><mo>{</mo><mn>1</mn><mo>,</mo><mo>…</mo><mo>,</mo><mi>n</mi><mo>}</mo></mrow></math></span>. The main result of the paper is the distributional convergence with respect to the vague topology of the above processes towards a Poisson point process as <span><math><mrow><mi>n</mi><mo>→</mo><mi>∞</mi></mrow></math></span> for a wide range of cycle weights. As an application, we give several limit theorems for various statistics of cycles.</p></div>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016771522400138X","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
We study the asymptotic behavior of short cycles of random permutations with cycle weights. More specifically, on a specially constructed metric space whose elements encode all possible cycles, we consider a point process containing all information on cycles of a given random permutation on . The main result of the paper is the distributional convergence with respect to the vague topology of the above processes towards a Poisson point process as for a wide range of cycle weights. As an application, we give several limit theorems for various statistics of cycles.