具有初始奇异性的时空分数阶非线性扩散波方程的线性化有限差分格式

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of Nonlinear Sciences and Numerical Simulation Pub Date : 2022-10-06 DOI:10.1515/ijnsns-2021-0388
Emadidin Gahalla Mohmed Elmahdi, Jianfei Huang
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引用次数: 0

摘要

摘要本文给出了一类具有初始奇异性的时空分数阶非线性扩散波方程的线性化有限差分格式,其中包括时间上的Caputo分数阶导数和空间上的Riesz分数阶导数。首先,将所考虑的问题等价地转化为其偏积分-微分形式。然后,使用Crank–Nicolson技术、L1近似和卷积求积公式构造了全离散格式来处理时间离散化。同时,将经典中心差分公式和分数中心差分方程分别应用于空间中的二阶导数和Riesz分数导数的近似。此外,利用离散能量法严格证明了该方案的稳定性和收敛性。最后,通过数值实验对理论结果进行了验证。
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A linearized finite difference scheme for time–space fractional nonlinear diffusion-wave equations with initial singularity
Abstract This paper presents a linearized finite difference scheme for solving a kind of time-space fractional nonlinear diffusion-wave equations with initial singularity, where the Caputo fractional derivative in time and the Riesz fractional derivative in space are involved. First, the considered problem is equivalently transformed into its partial integro-differential form. Then, the fully discrete scheme is constructed by using the Crank–Nicolson technique, the L1 approximation, and the convolution quadrature formula to deal with the temporal discretizations. Meanwhile, the classical central difference formula and the fractional central difference formula are applied to approximate the second-order derivative and the Riesz fractional derivative in space, respectively. Moreover, the stability and convergence of the proposed scheme are strictly proved by using the discrete energy method. Finally, some numerical experiments are presented to illustrate the theoretical results.
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来源期刊
CiteScore
2.80
自引率
6.70%
发文量
117
审稿时长
13.7 months
期刊介绍: The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.
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