Application of Gegenbauer Polynomials with Two Variables to Bi-univalency of Generalized Discrete Probability Distribution Via Zero-Truncated Poisson Distribution Series

The present study is unique in exploring bi-univalent functions, which has recently garnered attention from many researchers in Geometric Function Theory (GFT). The uniqueness lies in utilizing a generalized discrete probability distribution and a zero-truncated Poisson distribution combined with ge...

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Bibliographic Details
Main Authors: Tunji Ibrahim Awolere, Abiodun Tinuoye Oladipo, Şahsene Altınkaya
Format: Article
Language:English
Published: University of Maragheh 2024-07-01
Series:Sahand Communications in Mathematical Analysis
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Online Access:https://scma.maragheh.ac.ir/article_710537_0116b3feef3733f6887f884a3572aef9.pdf
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Summary:The present study is unique in exploring bi-univalent functions, which has recently garnered attention from many researchers in Geometric Function Theory (GFT). The uniqueness lies in utilizing a generalized discrete probability distribution and a zero-truncated Poisson distribution combined with generalized Gegenbauer polynomials featuring two variables. We aim to obtain coefficient bounds, the classical Fekete-Szegö inequality, and Hankel and Toeplitz determinants to generalize the probability of a gambler's ruin. Additionally, using the defined bi-univalent function classes contributes to the uniqueness of the obtained results.
ISSN:2322-5807
2423-3900