拟线性次扩散的正则性分析及高阶时间步进格式

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Bangti Jin, Qimeng Quan, Barbara Wohlmuth, Zhi Zhou
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引用次数: 0

摘要

SIAM数值分析杂志,第63卷,第4期,第1512-1539页,2025年8月。摘要。在这项工作中,我们研究了一个拟线性次扩散模型,该模型涉及时间阶导数的分数阶导数和非线性扩散系数。首先,利用线性次扩散解算子的平滑性质和摄动参数,我们证明了几个新的对数值分析有用的点向时间Sobolev正则性估计。然后,基于二阶后向微分公式产生的卷积正交,并在第一步进行修正,我们开发了一种求解拟线性次扩散的时间步进格式。进一步,我们建立了该方案的收敛阶为[math],而不强加任何对解的正则性的额外假设,这是高阶的,因为它的收敛速率高于香草方案的一阶收敛。该分析依赖于非线性扰动余数的精炼Sobolev正则性和离散解算子的平滑性质。在两个空间维度上进行了数值实验,验证了误差估计的清晰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion
SIAM Journal on Numerical Analysis, Volume 63, Issue 4, Page 1512-1539, August 2025.
Abstract. In this work, we investigate a quasilinear subdiffusion model which involves a fractional derivative of order [math] in time and a nonlinear diffusion coefficient. First, using smoothing properties of solution operators for linear subdiffusion and a perturbation argument, we prove several new pointwise-in-time Sobolev regularity estimates that are useful for numerical analysis. Then we develop a time-stepping scheme to solve quasilinear subdiffusion, based on convolution quadrature generated by the second-order backward differentiation formula with a correction at the first step. Further, we establish that the convergence order of the scheme is [math] without imposing any additional assumption on the regularity of the solution, which is high-order in the sense that its convergence rate is higher than the first-order convergence of the vanilla scheme. The analysis relies on refined Sobolev regularity of the nonlinear perturbation remainder and smoothing properties of discrete solution operators. Several numerical experiments in two space dimensions are presented to show the sharpness of the error estimate.
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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