{"title":"Precise Tail Behaviour of Some Dirichlet Series","authors":"Alexander Iksanov, Vitali Wachtel","doi":"10.1007/s10959-024-01318-4","DOIUrl":null,"url":null,"abstract":"<p>Let <span>\\(\\eta _1\\)</span>, <span>\\(\\eta _2,\\ldots \\)</span> be independent copies of a random variable <span>\\(\\eta \\)</span> with zero mean and finite variance which is bounded from the right, that is, <span>\\(\\eta \\le b\\)</span> almost surely for some <span>\\(b>0\\)</span>. Considering different types of the asymptotic behaviour of the probability <span>\\(\\mathbb {P}\\{\\eta \\in [b-x,b]\\}\\)</span> as <span>\\(x\\rightarrow 0+\\)</span>, we derive precise tail asymptotics of the random Dirichlet series <span>\\(\\sum _{k\\ge 1}k^{-\\alpha }\\eta _k\\)</span> for <span>\\(\\alpha \\in (1/2, 1]\\)</span>.\n</p>","PeriodicalId":54760,"journal":{"name":"Journal of Theoretical Probability","volume":"6 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10959-024-01318-4","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
Let \(\eta _1\), \(\eta _2,\ldots \) be independent copies of a random variable \(\eta \) with zero mean and finite variance which is bounded from the right, that is, \(\eta \le b\) almost surely for some \(b>0\). Considering different types of the asymptotic behaviour of the probability \(\mathbb {P}\{\eta \in [b-x,b]\}\) as \(x\rightarrow 0+\), we derive precise tail asymptotics of the random Dirichlet series \(\sum _{k\ge 1}k^{-\alpha }\eta _k\) for \(\alpha \in (1/2, 1]\).
期刊介绍:
Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.