Probabilistic identities involving fully degenerate Bernoulli polynomials and degenerate Euler polynomials
Assume that X is the Bernoulli random variable with parameter [Formula: see text], and that random variables [Formula: see text] are a sequence of mutually independent copies of X. We also assume that Y is the uniform random variable on the interval [Formula: see text], and that random variables [Fo...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
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Series: | Applied Mathematics in Science and Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/27690911.2024.2448193 |
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Summary: | Assume that X is the Bernoulli random variable with parameter [Formula: see text], and that random variables [Formula: see text] are a sequence of mutually independent copies of X. We also assume that Y is the uniform random variable on the interval [Formula: see text], and that random variables [Formula: see text] are a sequence of mutually independent copies of Y. We consider the fully degenerate Bernoulli polynomials and their higher-order analogues. We also consider the degenerate Euler polynomials and their higher-order analogues. The aim of this paper is to compute the expectations of some random variables associated with those polynomials and random variables explicitly, and to derive certain identities between such expectations. |
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ISSN: | 2769-0911 |