Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind

In this paper, we introduce the probabilistic Bernoulli numbers, Cauchy numbers, and Euler numbers of order α associated with the random variable Y, utilizing the generating function approach. Meanwhile, by employing important tools from combinatorial analysis, such as the partial Bell polynomials a...

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Main Author: Aimin Xu
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Applied Mathematics in Science and Engineering
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Online Access:https://www.tandfonline.com/doi/10.1080/27690911.2025.2485250
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author Aimin Xu
author_facet Aimin Xu
author_sort Aimin Xu
collection DOAJ
description In this paper, we introduce the probabilistic Bernoulli numbers, Cauchy numbers, and Euler numbers of order α associated with the random variable Y, utilizing the generating function approach. Meanwhile, by employing important tools from combinatorial analysis, such as the partial Bell polynomials and the Lagrange inversion formula, we provide computational formulas for these numbers in terms of the probabilistic Stirling numbers of the second kind. Furthermore, we introduce the probabilistic Stirling numbers of the first kind, and derive a computational formula in terms of the probabilistic Stirling numbers of the second kind, which can be seen as a probabilistic version of the Schlömilch formula.
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spelling doaj-art-862a070d5cd34f9e82da38862f6dd0a22025-08-20T01:50:45ZengTaylor & Francis GroupApplied Mathematics in Science and Engineering2769-09112025-12-0133110.1080/27690911.2025.2485250Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kindAimin Xu0Institute of Mathematics, Zhejiang Wanli University, Ningbo, People's Republic of ChinaIn this paper, we introduce the probabilistic Bernoulli numbers, Cauchy numbers, and Euler numbers of order α associated with the random variable Y, utilizing the generating function approach. Meanwhile, by employing important tools from combinatorial analysis, such as the partial Bell polynomials and the Lagrange inversion formula, we provide computational formulas for these numbers in terms of the probabilistic Stirling numbers of the second kind. Furthermore, we introduce the probabilistic Stirling numbers of the first kind, and derive a computational formula in terms of the probabilistic Stirling numbers of the second kind, which can be seen as a probabilistic version of the Schlömilch formula.https://www.tandfonline.com/doi/10.1080/27690911.2025.2485250Probabilistic Bernoulli numbersprobabilistic Cauchy numbersprobabilistic Euler numbershigher orderprobabilistic Stirling number11B68
spellingShingle Aimin Xu
Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
Applied Mathematics in Science and Engineering
Probabilistic Bernoulli numbers
probabilistic Cauchy numbers
probabilistic Euler numbers
higher order
probabilistic Stirling number
11B68
title Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
title_full Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
title_fullStr Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
title_full_unstemmed Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
title_short Computing a family of probabilistic numbers in terms of probabilistic Stirling numbers of the second kind
title_sort computing a family of probabilistic numbers in terms of probabilistic stirling numbers of the second kind
topic Probabilistic Bernoulli numbers
probabilistic Cauchy numbers
probabilistic Euler numbers
higher order
probabilistic Stirling number
11B68
url https://www.tandfonline.com/doi/10.1080/27690911.2025.2485250
work_keys_str_mv AT aiminxu computingafamilyofprobabilisticnumbersintermsofprobabilisticstirlingnumbersofthesecondkind