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 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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Publication Details

Journal
Applied Mathematics in Science and Engineering
Published
2025-04-01
DOI
https://doi.org/10.1080/27690911.2025.2485250
Primary Topic
Advanced Combinatorial Mathematics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Aimin Xu
Applied Mathematics in Science and Engineering
Advanced Combinatorial Mathematics
article

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

Aimin Xu
article en

Abstract

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.

Applied Mathematics in Science and EngineeringVol. 33(1)
Zhejiang Wanli University (CN)
Reduced inequalities
Openalex Percentile: Top 90%
Advanced Combinatorial Mathematics
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