时变扩散系数分数次扩散方程的数值解法及光滑解

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-08-15 Epub Date: 2025-01-02 DOI:10.1016/j.cam.2024.116473
Xuhao Li , Patricia J.Y. Wong , Anatoly A. Alikhanov
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引用次数: 0

摘要

利用一个新的广义L2公式和一个时变紧有限差分算子,构造了一类具有时变扩散性的广义分数阶扩散方程的光滑解的高阶数值格式。通过能量法和数值实验证明了其收敛阶为O(τz3−α+h4)。我们的贡献改进了以前的一些工作,主要集中在两个方面:(i)我们开发了一个新的广义L2公式,实现了O(τz3−α)精度;(ii)给出了时变紧有限差分算子的基本先验估计,保证了新数值格式的稳定性和收敛性。
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Numerical method for fractional sub-diffusion equation with space–time varying diffusivity and smooth solution
Using a new generalized L2 formula and a time varying compact finite difference operator, we construct a high order numerical scheme for a class of generalized fractional diffusion equation with space–time varying diffusivity that admits a smooth solution. The convergence order is shown to be O(τz3α+h4) via the energy method and demonstrated by numerical experiments. Our contributions, which improve some previous work, focus primarily on two aspects: (i) we develop a novel generalized L2 formula achieving O(τz3α) accuracy; (ii) we derive an essential a priori estimate for a time-varying compact finite difference operator, ensuring the new numerical scheme is stable and convergent.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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