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arXiv 1811.08059math.NAcs.NA
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两种时间步进方案对反应-亚扩散问题的H^1范数误差估计的精确性

Sharp $H^1$-norm error estimates of two time-stepping schemes for reaction-subdiffusion problems

Henan University of Economics and Law(河南财经政法大学);Nanjing University of Aeronautics and Astronautics(南京航空航天大学);Beijing Computational Science Research Center(北京计算科学研究中心);Wayne State University(韦恩州立大学)

Jincheng Ren, Hong-lin Liao, Jiwei Zhang, Zhimin Zhang

AI总结:

本文提出改进的离散 Gronwall 不等式,用于恢复分数亚扩散问题时间近似中的理论精度,并通过时间-空间误差拆分技术和全局一致性分析,建立了两种非均匀方法在反应-亚扩散问题中的精确H^1范数误差估计,数值实验验证了分析的精确性。

摘要:

由于解的内在初始奇异性和数值Caputo导数的离散卷积形式,传统H^1范数分析(对应于经典扩散方程的情况)在分数亚扩散问题的时间近似中总是导致次优误差估计(时间精度的损失)。为了恢复理论时间精度,我们提出了一种改进的离散Gronwall不等式,并将其应用于著名的L1公式和分数Crank-Nicolson方案。借助时间-空间误差拆分技术和全局一致性分析,建立了两种非均匀方法在反应-亚扩散问题中的精确H^1范数误差估计。数值实验用于验证我们的分析的精确性。

英文摘要:

Due to the intrinsically initial singularity of solution and the discrete convolution form in numerical Caputo derivatives, the traditional $H^1$-norm analysis (corresponding to the case for a classical diffusion equation) to the time approximations of a fractional subdiffusion problem always leads to suboptimal error estimates (a loss of time accuracy). To recover the theoretical accuracy in time, we propose an improved discrete Grönwall inequality and apply it to the well-known L1 formula and a fractional Crank-Nicolson scheme. With the help of a time-space error-splitting technique and the global consistency analysis, sharp $H^1$-norm error estimates of the two nonuniform approaches are established for a reaction-subdiffusion problems. Numerical experiments are included to confirm the sharpness of our analysis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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