Some representations for inverse rising factorial moments

Inverse rising factorial moments [Formula: see text] are fundamental quantities for positive integer-valued random variables, with broad applications in probability and combinatorics. Despite their importance, there is a lack of explicit, closed-form algebraic identities connecting [Formula: see text] to established combinatorial quantities and a limited framework for their multivariate extension. Addressing these gaps, this study investigates [Formula: see text] to derive more computationally efficient alternatives. We establish both a novel finite sum identity and an infinite series expression for [Formula: see text]. Furthermore, we provide a closed-form expression for the geometric random variable and extend these results to multivariate random variables. Finally, we extend the concept of [Formula: see text] to positive real-valued continuous random variables, deriving a finite sum identity for the beta random variable.

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Publication Details

Journal
Mathematical and Computer Modelling of Dynamical Systems
Published
2026-04-30
DOI
https://doi.org/10.1080/13873954.2026.2667028
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Some representations for inverse rising factorial moments

Yuankui Ma, Xiaoxue Li, Dae San Kim, Taekyun Kim
Mathematical and Computer Modelling of Dynamical Systems
Random Matrices and Applications
article

Some representations for inverse rising factorial moments

Yuankui Ma, Xiaoxue Li, Dae San Kim, Taekyun Kim
article en

Abstract

Inverse rising factorial moments [Formula: see text] are fundamental quantities for positive integer-valued random variables, with broad applications in probability and combinatorics. Despite their importance, there is a lack of explicit, closed-form algebraic identities connecting [Formula: see text] to established combinatorial quantities and a limited framework for their multivariate extension. Addressing these gaps, this study investigates [Formula: see text] to derive more computationally efficient alternatives. We establish both a novel finite sum identity and an infinite series expression for [Formula: see text]. Furthermore, we provide a closed-form expression for the geometric random variable and extend these results to multivariate random variables. Finally, we extend the concept of [Formula: see text] to positive real-valued continuous random variables, deriving a finite sum identity for the beta random variable.

Mathematical and Computer Modelling of Dynamical SystemsVol. 32(1)
Sogang University (KR), Kwangwoon University (KR), Xi'an Technological University (CN), Beihang University (CN)
Natural Science Basic Research Program of Shaanxi Province
Reduced inequalities
Openalex Percentile: Top 7%
Random Matrices and Applications
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