A computational study of multi-term nonlinear fractional delay differential equations with collocation approach

IF 2 3区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Vijay Saw, Pawan Kumar Shaw, Vijay Kumar Mehta, Satish Kumar Maurya, Sudhakar Yadav, Amlendu Kumar
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引用次数: 0

Abstract

In this work, a shifted Legendre orthogonal polynomial based on the collocation method is implemented for obtaining computational solutions of fractional order multi-delay differential equations (FOMDDEs). The proposed numerical technique is applied to both linear and non-linear FOMDDEs. These FOMDDEs encompass multi-term integer and fractional order derivatives in both delayed and non-delayed components, with the fractional derivative regarded in the Caputo sense. The proposed method transforms the entire problem into a system of linear or non-linear algebraic equations, which is then solved numerically. Error analysis and approximation bounds are also discussed. To validate the implemented numerical scheme, various examples from the literature are compared, demonstrating the accuracy of the method even when using only a few terms of the Legendre polynomials. The numerical results show that the shifted Legendre collocation technique (SLCT) is both simple and efficient for solving a wide range of FOMDDEs.

多项非线性分数阶时滞微分方程的配点法计算研究
本文提出了一种基于配点法的移位Legendre正交多项式,用于求解分数阶多延迟微分方程。本文提出的数值计算方法同时适用于线性和非线性两种形式的离散模态微分方程。这些FOMDDEs包含延迟分量和非延迟分量的多项整数阶导数和分数阶导数,其中分数阶导数是卡普托意义上的。该方法将整个问题转化为线性或非线性代数方程组,然后进行数值求解。文中还讨论了误差分析和近似边界。为了验证所实现的数值方案,比较了文献中的各种例子,证明了该方法的准确性,即使仅使用少量的勒让德多项式项。数值结果表明,位移勒让德配置技术(SLCT)简单有效,适用于求解大范围的fmddes问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematical Chemistry
Journal of Mathematical Chemistry 化学-化学综合
CiteScore
3.70
自引率
17.60%
发文量
105
审稿时长
6 months
期刊介绍: The Journal of Mathematical Chemistry (JOMC) publishes original, chemically important mathematical results which use non-routine mathematical methodologies often unfamiliar to the usual audience of mainstream experimental and theoretical chemistry journals. Furthermore JOMC publishes papers on novel applications of more familiar mathematical techniques and analyses of chemical problems which indicate the need for new mathematical approaches. Mathematical chemistry is a truly interdisciplinary subject, a field of rapidly growing importance. As chemistry becomes more and more amenable to mathematically rigorous study, it is likely that chemistry will also become an alert and demanding consumer of new mathematical results. The level of complexity of chemical problems is often very high, and modeling molecular behaviour and chemical reactions does require new mathematical approaches. Chemistry is witnessing an important shift in emphasis: simplistic models are no longer satisfactory, and more detailed mathematical understanding of complex chemical properties and phenomena are required. From theoretical chemistry and quantum chemistry to applied fields such as molecular modeling, drug design, molecular engineering, and the development of supramolecular structures, mathematical chemistry is an important discipline providing both explanations and predictions. JOMC has an important role in advancing chemistry to an era of detailed understanding of molecules and reactions.
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