Numerical Treatment For The Solution Of Stochastic Fractional Differential Equation Using Lerch Operational Matrix Method

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL Journal of Computational and Nonlinear Dynamics Pub Date : 2023-10-27 DOI:10.1115/1.4063885
P. K. Singh, Santanu Saha Ray
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引用次数: 0

Abstract

Abstract The aim of this article is to propose the Lerch operational matrix method to solve a stochastic fractional differential equation. In this approach, the Lerch polynomials have been used as a basis function. Then, the product operational matrix, integral operational matrix, stochastic operational matrix, and operational matrix of fractional integral based on the Lerch polynomials have been constructed. The main characteristic of this method is to reduce the stochastic fractional differential equation into a system of algebraic equations by using derived operational matrices and suitable collocation points. Moreover, the convergence and error analysis of the presented method is also discussed in detail. Additionally, the applicability of the proposed technique is also demonstrated by solving some examples. To confirm the accuracy and effectiveness of the suggested technique, a comparison between the results produced by the proposed method and those obtained by other methods has been provided.
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用Lerch运算矩阵法求解随机分数阶微分方程的数值处理
摘要本文的目的是提出求解随机分数阶微分方程的Lerch操作矩阵法。在这种方法中,莱奇多项式被用作基函数。然后,构造了基于Lerch多项式的积运算矩阵、积分运算矩阵、随机运算矩阵和分数阶积分运算矩阵。该方法的主要特点是利用推导出的运算矩阵和合适的配点,将随机分数阶微分方程简化为一个代数方程组。此外,还详细讨论了该方法的收敛性和误差分析。此外,通过算例验证了该方法的适用性。为了验证所提方法的准确性和有效性,将所提方法所产生的结果与其他方法所获得的结果进行了比较。
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来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
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