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通过两种不同方法的结合对一些动力系统进行分析。

Analysis of some dynamical systems by combination of two different methods.

作者信息

Ganie Abdul Hamid, Zidan A M, Shah Rasool, Akgül Ali, Hassani Murad Khan

机构信息

Basic Science Department, College of Science and Theoretical Studies, Saudi Electronic University, Abha-Male Branch, 11673, Riyadh, Saudi Arabia.

Department of Mathematics, College of Science, King Khalid University, P.O. Box: 9004, 61413, Abha, Saudi Arabia.

出版信息

Sci Rep. 2024 Aug 12;14(1):18710. doi: 10.1038/s41598-024-62042-x.

Abstract

In this study, we introduce a novel iterative method combined with the Elzaki transformation to address a system of partial differential equations involving the Caputo derivative. The Elzaki transformation, known for its effectiveness in solving differential equations, is incorporated into the proposed iterative approach to enhance its efficiency. The system of partial differential equations under consideration is characterized by the presence of Caputo derivatives, which capture fractional order dynamics. The developed method aims to provide accurate and efficient solutions to this complex mathematical system, contributing to the broader understanding of fractional calculus applications in the context of partial differential equations. Through numerical experiments and comparisons, we demonstrate the efficacy of the proposed Elzaki-transform-based iterative method in handling the intricate dynamics inherent in the given system. The study not only showcases the versatility of the Elzaki transformation but also highlights the potential of the developed iterative technique for addressing similar problems in various scientific and engineering domains.

摘要

在本研究中,我们引入一种结合埃尔扎基变换的新型迭代方法,以求解包含卡普托导数的偏微分方程组。以求解微分方程时的有效性而闻名的埃尔扎基变换,被纳入所提出的迭代方法中以提高其效率。所考虑的偏微分方程组的特征在于存在卡普托导数,它捕捉分数阶动力学。所开发的方法旨在为这个复杂的数学系统提供准确而高效的解,有助于在偏微分方程的背景下更广泛地理解分数阶微积分的应用。通过数值实验和比较,我们证明了所提出的基于埃尔扎基变换的迭代方法在处理给定系统中固有的复杂动力学方面的有效性。该研究不仅展示了埃尔扎基变换的通用性,还突出了所开发的迭代技术在解决各个科学和工程领域中类似问题的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cfe/11319635/3fcc4b788571/41598_2024_62042_Fig1_HTML.jpg

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