Probabilistic Bernoulli and Euler Polynomials

IF 1.7 3区 物理与天体物理 Q2 PHYSICS, MATHEMATICAL
T. Kim, D. S. Kim
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引用次数: 0

Abstract

Let \(Y\) be a random variable whose moment generating function exists in a neighborhood of the origin. The aim of this paper is to introduce and study the probabilistic extension of Bernoulli polynomials and Euler polynomials, namely the probabilistic Bernoulli polynomials associated \(Y\) and the probabilistic Euler polynomials associated with \(Y\). Also, we introduce the probabilistic \(r\)-Stirling numbers of the second associated \(Y\), the probabilistic two variable Fubini polynomials associated \(Y\), and the probabilistic poly-Bernoulli polynomials associated with \(Y\). We obtain some properties, explicit expressions, certain identities and recurrence relations for those polynomials. As special cases of \(Y\), we treat the gamma random variable with parameters \(\alpha,\beta > 0\), the Poisson random variable with parameter \(\alpha >0\), and the Bernoulli random variable with probability of success \(p\).

DOI 10.1134/S106192084010072

概率伯努利和欧拉多项式
摘要 设 \(Y\) 是一个随机变量,其矩产生函数存在于原点附近。本文旨在介绍和研究伯努利多项式和欧拉多项式的概率扩展,即与\(Y\) 相关的概率伯努利多项式和与\(Y\) 相关的概率欧拉多项式。此外,我们还介绍了与\(Y\)相关的概率二次斯特林数、与\(Y\)相关的概率二变富比尼多项式以及与\(Y\)相关的概率伯努利多项式。我们得到了这些多项式的一些性质、明确的表达式、某些等式和递推关系。作为\(Y\)的特例,我们处理了参数为\(\alpha,\beta >0\)的伽马随机变量、参数为\(\alpha >0\)的泊松随机变量和成功概率为\(p\)的伯努利随机变量。 doi 10.1134/s106192084010072
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来源期刊
Russian Journal of Mathematical Physics
Russian Journal of Mathematical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
14.30%
发文量
30
审稿时长
>12 weeks
期刊介绍: Russian Journal of Mathematical Physics is a peer-reviewed periodical that deals with the full range of topics subsumed by that discipline, which lies at the foundation of much of contemporary science. Thus, in addition to mathematical physics per se, the journal coverage includes, but is not limited to, functional analysis, linear and nonlinear partial differential equations, algebras, quantization, quantum field theory, modern differential and algebraic geometry and topology, representations of Lie groups, calculus of variations, asymptotic methods, random process theory, dynamical systems, and control theory.
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