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Research Article | Open Access

Fractional evaluation of Kaup-Kupershmidt equation with the exponential-decay kernel

M. Mossa Al-Sawalha1Rasool Shah2Kamsing Nonlaopon3( )Imran Khan4Osama Y. Ababneh5
Department of Mathematics, College of Science, University of Ha'il, Ha'il 2440, Saudi Arabia
Department of Mathematics, Abdul Wali khan university, Mardan 23200, Pakistan
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
Department of mathematics and statistics, Bacha Khan University Charsadda, Pakistan
Department of Mathematics, Faculty of Science, Zarqa University, Zarqa 13110, Jordan
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Abstract

In this paper, we investigate the semi-analytical solution of Kaup-Kupershmidt equations with the help of a modified method known as the new iteration transformation technique. This method combines the Yang transform and the new iteration technique. The nonlinear terms can be calculated straightforwardly by a new iteration method. The numerical simulation results have been presented to demonstrate the reliability and validity of the proposed approach. The result confirms that the suggested technique is the best tool for dealing with any nonlinear problems arising in technology and science. In addition, in terms of figures for varying fractional order, the physical behavior of new iteration transformation technique solutions has been shown and the numerical simulation is also exhibited. The solutions of the new iteration transformation technique reveal that the projected technique is reliable, competitive and powerful for studying complex nonlinear fractional type models.

CLC number: 33B15, 34A34, 35A20, 35A22, 44A10

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AIMS Mathematics
Pages 3730-3746

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Cite this article:
Al-Sawalha MM, Shah R, Nonlaopon K, et al. Fractional evaluation of Kaup-Kupershmidt equation with the exponential-decay kernel. AIMS Mathematics, 2023, 8(2): 3730-3746. https://doi.org/10.3934/math.2023186

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Received: 06 September 2022
Revised: 01 October 2022
Accepted: 07 October 2022
Published: 15 February 2023
©2023 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)