{"title":"概率斯特林数及其应用","authors":"José A. Adell, Beáta Bényi","doi":"10.1007/s00010-024-01073-1","DOIUrl":null,"url":null,"abstract":"<p>We introduce probabilistic Stirling numbers of the first kind <span>\\(s_Y(n,k)\\)</span> associated with a complex-valued random variable <i>Y</i> satisfying appropriate integrability conditions, thus completing the notion of probabilistic Stirling numbers of the second kind <span>\\(S_Y(n,k)\\)</span> previously considered by the first author. Combinatorial interpretations, recursion formulas, and connections between <span>\\(s_Y(n,k)\\)</span> and <span>\\(S_Y(n,k)\\)</span> are given. We show that such numbers describe a large subset of potential polynomials, on the one hand, and the moments of sums of i. i. d. random variables, on the other, establishing their precise asymptotic behavior without appealing to the central limit theorem. We explicitly compute these numbers when <i>Y</i> has a certain familiar distribution, providing at the same time their combinatorial meaning.\n</p>","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probabilistic Stirling numbers and applications\",\"authors\":\"José A. Adell, Beáta Bényi\",\"doi\":\"10.1007/s00010-024-01073-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We introduce probabilistic Stirling numbers of the first kind <span>\\\\(s_Y(n,k)\\\\)</span> associated with a complex-valued random variable <i>Y</i> satisfying appropriate integrability conditions, thus completing the notion of probabilistic Stirling numbers of the second kind <span>\\\\(S_Y(n,k)\\\\)</span> previously considered by the first author. Combinatorial interpretations, recursion formulas, and connections between <span>\\\\(s_Y(n,k)\\\\)</span> and <span>\\\\(S_Y(n,k)\\\\)</span> are given. We show that such numbers describe a large subset of potential polynomials, on the one hand, and the moments of sums of i. i. d. random variables, on the other, establishing their precise asymptotic behavior without appealing to the central limit theorem. We explicitly compute these numbers when <i>Y</i> has a certain familiar distribution, providing at the same time their combinatorial meaning.\\n</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s00010-024-01073-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00010-024-01073-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
我们引入了与满足适当可整性条件的复值随机变量 Y 相关联的第一类概率斯特林数 (s_Y(n,k)\),从而完善了第一作者之前考虑过的第二类概率斯特林数 (S_Y(n,k)\)的概念。我们给出了组合解释、递归公式以及 \(s_Y(n,k)\) 和 \(S_Y(n,k)\) 之间的联系。我们证明,这些数一方面描述了潜在多项式的一个大子集,另一方面描述了 i. i. d. 随机变量之和的矩,并在不求助于中心极限定理的情况下确定了它们的精确渐近行为。当 Y 具有某种我们熟悉的分布时,我们会明确计算这些数字,同时提供它们的组合意义。
We introduce probabilistic Stirling numbers of the first kind \(s_Y(n,k)\) associated with a complex-valued random variable Y satisfying appropriate integrability conditions, thus completing the notion of probabilistic Stirling numbers of the second kind \(S_Y(n,k)\) previously considered by the first author. Combinatorial interpretations, recursion formulas, and connections between \(s_Y(n,k)\) and \(S_Y(n,k)\) are given. We show that such numbers describe a large subset of potential polynomials, on the one hand, and the moments of sums of i. i. d. random variables, on the other, establishing their precise asymptotic behavior without appealing to the central limit theorem. We explicitly compute these numbers when Y has a certain familiar distribution, providing at the same time their combinatorial meaning.