A pseudo-spectral method based on reproducing kernel for solving the time-fractional diffusion-wave equation

IF 3.1 3区 数学 Q1 MATHEMATICS Advances in Difference Equations Pub Date : 2022-08-23 DOI:10.1186/s13662-022-03726-4
Mojtaba Fardi, Shrideh K. Qasem Al-Omari, Serkan Araci
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引用次数: 8

Abstract

In this paper, we focus on the development and study of the finite difference/pseudo-spectral method to obtain an approximate solution for the time-fractional diffusion-wave equation in a reproducing kernel Hilbert space. Moreover, we make use of the theory of reproducing kernels to establish certain reproducing kernel functions in the aforementioned reproducing kernel Hilbert space. Furthermore, we give an approximation to the time-fractional derivative term by applying the finite difference scheme by our proposed method. Over and above, we present an appropriate technique to derive the numerical solution of the given equation by utilizing a pseudo-spectral method based on the reproducing kernel. Then, we provide two numerical examples to support the accuracy and efficiency of our proposed method. Finally, we apply numerical experiments to calculate the quality of our approximation by employing discrete error norms.

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基于再现核的伪谱法求解时间分数阶扩散波方程
本文主要研究了用有限差分/伪谱方法在再现核Hilbert空间中求得时间分数阶扩散波方程的近似解。此外,我们利用可再生核理论在上述可再生核希尔伯特空间中建立了若干可再生核函数。在此基础上,利用有限差分格式给出了时间分数阶导数项的近似。在此基础上,我们提出了一种适当的技术,利用基于再现核的伪谱方法来推导给定方程的数值解。最后给出了两个数值算例,验证了所提方法的准确性和有效性。最后,我们应用数值实验来计算离散误差范数近似的质量。
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来源期刊
Advances in Difference Equations
Advances in Difference Equations MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
8.60
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: The theory of difference equations, the methods used, and their wide applications have advanced beyond their adolescent stage to occupy a central position in applicable analysis. In fact, in the last 15 years, the proliferation of the subject has been witnessed by hundreds of research articles, several monographs, many international conferences, and numerous special sessions. The theory of differential and difference equations forms two extreme representations of real world problems. For example, a simple population model when represented as a differential equation shows the good behavior of solutions whereas the corresponding discrete analogue shows the chaotic behavior. The actual behavior of the population is somewhere in between. The aim of Advances in Difference Equations is to report mainly the new developments in the field of difference equations, and their applications in all fields. We will also consider research articles emphasizing the qualitative behavior of solutions of ordinary, partial, delay, fractional, abstract, stochastic, fuzzy, and set-valued differential equations. Advances in Difference Equations will accept high-quality articles containing original research results and survey articles of exceptional merit.
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