Representations by probabilistic Frobenius-Euler and degenerate Frobenius-Euler polynomials
Taekyun Kim, Dae San Kim

TL;DR
This paper develops a probabilistic framework to represent arbitrary polynomials using Frobenius-Euler and degenerate Frobenius-Euler polynomials linked to a random variable, employing umbral calculus for explicit formulas.
Contribution
It introduces a novel probabilistic approach to polynomial representation via Frobenius-Euler polynomials associated with random variables, including higher-order cases.
Findings
Explicit formulas for polynomial representations derived
Applications demonstrated for various random variables
Extension to higher-order Frobenius-Euler polynomials
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 represent arbitrary polynomials in terms of probabilistic Frobenius-Euler polynomials associated with Y and probabilistic degenerate Frobenius-Euler polynomials associated with Y , and more generally of their higher-order counterparts. We derive explicit formulas with the help of umbral calculus and illustrate our results in the case of several random variables Y
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