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Research Article | Open Access

A new investigation of impulsive fractional stochastic delayed systems in the framework of ( δ , ψ )-Hilfer derivative and Lévy processes

A. M. Sayed Ahmed1Hamdy M. Ahmed2( )Taher A. Nofal3Soliman Alkhatib4Hisham H. Hussein5
Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Alexandria, Egypt
Department of Physics and Engineering Mathematics, Higher Institute of Engineering, El-Shorouk Academy, El-Shorouk City, Cairo, Egypt
Department of Mathematics, College of Science, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
College of Engineering and Technology, American University in the Emirates (AUE), Dubai International Academic City, P.O. Box 503000, Dubai, UAE
School of Mathematical and Computational Sciences, University of Prince Edward Island (UPEI), Cairo Campus, New Administrative Capital, Egypt
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Abstract

In this paper, the averaging result for impulsive ( δ , ψ )-Hilfer fractional stochastic delayed differential equations (FSDDEs) caused by the Lévy process was derived. In the sense of mean square, the relationship between the equivalent solutions of the original equations and the averaged equation solutions was demonstrated. Our findings allowed us to shift our attention from the original, more complicated system to the averaged system. Additionally, to demonstrate the relevance and practicality of our findings, an example was given.

CLC number: 34A08, 60G22, 34A12, 60H15, 34A37

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AIMS Mathematics
Pages 19845-19866

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Cite this article:
Sayed Ahmed AM, Ahmed HM, Nofal TA, et al. A new investigation of impulsive fractional stochastic delayed systems in the framework of ( δ , ψ )-Hilfer derivative and Lévy processes. AIMS Mathematics, 2025, 10(8): 19845-19866. https://doi.org/10.3934/math.2025885

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Received: 08 March 2025
Revised: 30 June 2025
Accepted: 29 July 2025
Published: 15 August 2025
©2025 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)