A Comparative Numerical Study of the Symmetry Chaotic Jerk System with a Hyperbolic Sine Function via Two Different Methods

Author:

Alzahrani Abdulrahman B. M.1,Abdoon Mohamed A.2ORCID,Elbadri Mohamed34ORCID,Berir Mohammed5ORCID,Elgezouli Diaa Eldin2

Affiliation:

1. Department of Mathematics, College of Science, King Saud University, Riyadh 11451, Saudi Arabia

2. Department of Basic Sciences, Common First Year Deanship, King Saud University, Riyadh 12373, Saudi Arabia

3. Department of Mathematics, Faculty of Sciences and Arts, Jouf University, Tubarjal 74713, Saudi Arabia

4. Department of Mathematic, University of Gezira, Wad Madani 21111, Sudan

5. Department of Mathematics, Faculty of Science and Arts, Al-Baha University, Baljurashi 65622, Saudi Arabia

Abstract

This study aims to find a solution to the symmetry chaotic jerk system by using a new ABC-FD scheme and the NILM method. The findings of the supplied methods have been compared to Runge–Kutta’s fourth order (RK4). It was discovered that the suggested techniques gave results comparable to the RK4 method. Our primary goal is to develop effective methods for addressing symmetrical, chaotic systems. Using ABC-FD and NILM presents innovative approaches for comprehending and effectively handling intricate dynamics. The findings of this study have significant significance for addressing the occurrence of chaotic behavior in diverse scientific and engineering contexts. This research significantly contributes to fractional calculus and its various applications. The application of ABC-FD, which can identify chaotic behavior, makes our work stand out. This novel approach contributes to advancing research in nonlinear dynamics and fractional calculus. The present study not only offers a resolution to the problem of symmetric chaotic jerk systems but also presents a framework that may be applied to tackle analogous challenges in several domains. The techniques outlined in this paper facilitate the development and computational analysis of prospective fractional models, thereby contributing to the progress of scientific and engineering disciplines.

Funder

King Saud University, Saudi Arabia

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference54 articles.

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2. Carpinteri, A., and Mainardi, F. (1997). Fractals and Fractional Calculus in Continuum Mechanics, Springer.

3. Oldham, K.B., and Spanier, J. (1974). The Fractional Calculus, Academic Press.

4. Podlubny, I. (1999). Fractional Differential Equations, Academic Press.

5. Advanced fractional calculus, differential equations and neural networks: Analysis, modeling and numerical computations;Baleanu;Phys. Scr.,2023

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