Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order

In this article, we considered the nonlinear time-fractional Jaulent–Miodek model (FJMM), which is applied to modeling many applications in basic sciences and engineering, especially physical phenomena such as plasma physics, fluid dynamics, electromagnetic waves in nonlinear media, and many other a...

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Main Authors: Hegagi Mohamed Ali, Kottakkaran Sooppy Nisar, Wedad R. Alharbi, Mohammed Zakarya
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024274?viewType=HTML
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author Hegagi Mohamed Ali
Kottakkaran Sooppy Nisar
Wedad R. Alharbi
Mohammed Zakarya
author_facet Hegagi Mohamed Ali
Kottakkaran Sooppy Nisar
Wedad R. Alharbi
Mohammed Zakarya
author_sort Hegagi Mohamed Ali
collection DOAJ
description In this article, we considered the nonlinear time-fractional Jaulent–Miodek model (FJMM), which is applied to modeling many applications in basic sciences and engineering, especially physical phenomena such as plasma physics, fluid dynamics, electromagnetic waves in nonlinear media, and many other applications. The Caputo fractional derivative (CFD) was applied to express the fractional operator in the mathematical formalism of the FJMM. We implemented the modified generalized Mittag-Leffler method (MGMLFM) to show the analytical approximate solution of FJMM, which is represented by a set of coupled nonlinear fractional partial differential equations (FPDEs) with suitable initial conditions. The suggested method produced convergent series solutions with easily computable components. To demonstrate the accuracy and efficiency of the MGMLFM, a comparison was made between the solutions obtained by MGMLFM and the known exact solutions in some tables. Also, the absolute error was compared with the absolute error provided by some of the other famous methods found in the literature. Our findings confirmed that the presented method is easy, simple, reliable, competitive, and did not require complex calculations. Thus, it can be extensively applied to solve more linear and nonlinear FPDEs that have applications in various areas such as mathematics, engineering, and physics.
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spelling doaj.art-129155d196be4e0ea28a85ebc39f390f2024-02-21T01:21:31ZengAIMS PressAIMS Mathematics2473-69882024-01-01935671568510.3934/math.2024274Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional orderHegagi Mohamed Ali 0Kottakkaran Sooppy Nisar1Wedad R. Alharbi2Mohammed Zakarya31. Department of Mathematics, College of Science, University of Bisha, P.O. Box 551, Bisha 61922, Saudi Arabia2. Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia3. Physics Department, College of Science, University of Jeddah, Jeddah 23890, Saudi Arabia4. Department of Mathematics, College of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi ArabiaIn this article, we considered the nonlinear time-fractional Jaulent–Miodek model (FJMM), which is applied to modeling many applications in basic sciences and engineering, especially physical phenomena such as plasma physics, fluid dynamics, electromagnetic waves in nonlinear media, and many other applications. The Caputo fractional derivative (CFD) was applied to express the fractional operator in the mathematical formalism of the FJMM. We implemented the modified generalized Mittag-Leffler method (MGMLFM) to show the analytical approximate solution of FJMM, which is represented by a set of coupled nonlinear fractional partial differential equations (FPDEs) with suitable initial conditions. The suggested method produced convergent series solutions with easily computable components. To demonstrate the accuracy and efficiency of the MGMLFM, a comparison was made between the solutions obtained by MGMLFM and the known exact solutions in some tables. Also, the absolute error was compared with the absolute error provided by some of the other famous methods found in the literature. Our findings confirmed that the presented method is easy, simple, reliable, competitive, and did not require complex calculations. Thus, it can be extensively applied to solve more linear and nonlinear FPDEs that have applications in various areas such as mathematics, engineering, and physics.https://www.aimspress.com/article/doi/10.3934/math.2024274?viewType=HTMLnonlinear coupled jaulent–miodek equationfractional partial differential equationsmittag-leffler functionapproximate solutionsnonlinear problems
spellingShingle Hegagi Mohamed Ali
Kottakkaran Sooppy Nisar
Wedad R. Alharbi
Mohammed Zakarya
Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
AIMS Mathematics
nonlinear coupled jaulent–miodek equation
fractional partial differential equations
mittag-leffler function
approximate solutions
nonlinear problems
title Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
title_full Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
title_fullStr Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
title_full_unstemmed Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
title_short Efficient approximate analytical technique to solve nonlinear coupled Jaulent–Miodek system within a time-fractional order
title_sort efficient approximate analytical technique to solve nonlinear coupled jaulent miodek system within a time fractional order
topic nonlinear coupled jaulent–miodek equation
fractional partial differential equations
mittag-leffler function
approximate solutions
nonlinear problems
url https://www.aimspress.com/article/doi/10.3934/math.2024274?viewType=HTML
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