Some Identities of the probabilistic higher order frobenius-euler polynomials and their applications

Recently, there has been significant research on the generalization of various numbers using probabilistic methods. In this paper, we introduce the probabilistic higher order Frobenius-Euler polynomials which are a generalization of Frobenius-Euler polynomials using probabilistic methods and demonstrate that these polynomials can be expressed as a linear combination of probabilistic Stirling numbers of the second kind and falling factorial sequences which provide both practical applications and profound insights into these polynomials. Furthermore, we show that when [Formula: see text] is a Bernoulli, gamma, or Poisson random variable, it can be expressed as a linear combination of the Stirling numbers of the second kind, Bell polynomials, or rising factorial sequences, respectively, and derive several new and interesting identities of those polynomials. We also investigate properties of the polynomials [Formula: see text] using graphs for different values of the random variable [Formula: see text], two different integers [Formula: see text], and three different integers [Formula: see text].

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Publication Details

Journal
Mathematical and Computer Modelling of Dynamical Systems
Published
2026-04-16
DOI
https://doi.org/10.1080/13873954.2026.2658282
Primary Topic
Advanced Mathematical Identities
Type
article
Field-Weighted Citation Impact
0.00
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article

Some Identities of the probabilistic higher order frobenius-euler polynomials and their applications

Sangbeom Park, Jongkyum Kwon, Sang Jo Yun, Jin-Woo Park
Mathematical and Computer Modelling of Dynamical Systems
Advanced Mathematical Identities
article

Some Identities of the probabilistic higher order frobenius-euler polynomials and their applications

Sangbeom Park, Jongkyum Kwon, Sang Jo Yun, Jin-Woo Park
article en

Abstract

Recently, there has been significant research on the generalization of various numbers using probabilistic methods. In this paper, we introduce the probabilistic higher order Frobenius-Euler polynomials which are a generalization of Frobenius-Euler polynomials using probabilistic methods and demonstrate that these polynomials can be expressed as a linear combination of probabilistic Stirling numbers of the second kind and falling factorial sequences which provide both practical applications and profound insights into these polynomials. Furthermore, we show that when [Formula: see text] is a Bernoulli, gamma, or Poisson random variable, it can be expressed as a linear combination of the Stirling numbers of the second kind, Bell polynomials, or rising factorial sequences, respectively, and derive several new and interesting identities of those polynomials. We also investigate properties of the polynomials [Formula: see text] using graphs for different values of the random variable [Formula: see text], two different integers [Formula: see text], and three different integers [Formula: see text].

Mathematical and Computer Modelling of Dynamical SystemsVol. 32(1)
Daegu National University of Education (KR), Gyeongsang National University (KR), Kyungpook National University (KR), Dong-A University (KR), Daegu University (KR)
Openalex Percentile: Top 16%
Advanced Mathematical Identities
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