Higher order numerical approximations for non-linear time-fractional reaction–diffusion equations exhibiting weak initial singularity

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Anshima Singh, Sunil Kumar
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引用次数: 0

Abstract

In the present study, we introduce a high-order non-polynomial spline method designed for non-linear time-fractional reaction–diffusion equations with an initial singularity. The method utilizes the L2-1σ scheme on a graded mesh to approximate the Caputo fractional derivative and employs a parametric quintic spline for discretizing the spatial variable. Our approach successfully tackles the impact of the singularity. The obtained non-linear system of equations is solved using an iterative algorithm. We provide the solvability of the novel non-polynomial scheme and prove its stability utilizing the discrete energy method. Moreover, the convergence of the proposed scheme has been established using the discrete energy method in the L2 norm. It is proven that the method is convergent of order min{θα,2} in the temporal direction and 4.5 in the spatial direction, where α(0,1) denotes the order of the fractional derivative and the parameter θ is utilized in the construction of the graded mesh. Finally, we conduct numerical experiments to validate our theoretical findings and to illustrate how the mesh grading influences the convergence order when dealing with a non-smooth solution to the problem.

表现出弱初始奇异性的非线性时间分数反应-扩散方程的高阶数值近似值
在本研究中,我们介绍了一种针对具有初始奇异性的非线性时间分数反应扩散方程设计的高阶非多项式样条线方法。该方法利用分级网格上的 L2-1σ 方案来近似 Caputo 分数导数,并采用参数五次样条来离散空间变量。我们的方法成功地解决了奇异性的影响。得到的非线性方程组采用迭代算法求解。我们提供了新型非多项式方案的可解性,并利用离散能量法证明了其稳定性。此外,我们还利用离散能量法确定了所提方案在 L2 规范下的收敛性。证明该方法在时间方向上的收敛阶数为 min{θα,2},在空间方向上的收敛阶数为 4.5,其中 α∈(0,1) 表示分数导数的阶数,参数 θ 用于构建分级网格。最后,我们进行了数值实验,以验证我们的理论发现,并说明在处理问题的非光滑解时,网格分级如何影响收敛阶次。
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
期刊介绍: The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity. The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged. Topics of interest: Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity. No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.
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