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Research Article | Open Access

Unraveling multivariable Hermite-Apostol-type Frobenius-Genocchi polynomials via fractional operators

Mohra Zayed1Shahid Ahmad Wani2( )Georgia Irina Oros3William Ramírez4,5( )
Mathematics Department, College of Science, King Khalid University, Abha 61413, Saudi Arabia
Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India
Department of Mathematics and Computer Science, Faculty of Informatics and Sciences, University of Oradea, Oradea 410087, Romania
Section of Mathematics International Telematic University Uninettuno, Rome 00186, Italy
Department of Natural and Exact Sciences, Universidad de la Costa, Barranquilla 080002, Colombia
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Abstract

This study explores the evolution and application of integral transformations, initially rooted in mathematical physics but now widely employed across diverse mathematical disciplines. Integral transformations offer a comprehensive framework comprising recurrence relations, generating expressions, operational formalism, and special functions, enabling the construction and analysis of specialized polynomials. Specifically, the research investigates a novel extended family of Frobenius-Genocchi polynomials of the Hermite-Apostol-type, incorporating multivariable variables defined through fractional operators. It introduces an operational rule for this generalized family, establishes a generating connection, and derives recurring relations. Moreover, the study highlights the practical applications of this generalized family, demonstrating its potential to provide solutions for specific scenarios.

CLC number: 11T23, 33B10, 33C45, 33E20, 33E30

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AIMS Mathematics
Pages 17291-17304

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Cite this article:
Zayed M, Wani SA, Oros GI, et al. Unraveling multivariable Hermite-Apostol-type Frobenius-Genocchi polynomials via fractional operators. AIMS Mathematics, 2024, 9(7): 17291-17304. https://doi.org/10.3934/math.2024840

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Received: 05 March 2024
Revised: 22 April 2024
Accepted: 30 April 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)