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arXiv 1505.03335math.NAcs.NA
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高阶数值算法用于Riesz导数的构造新生成函数

High-order numerical algorithms for Riesz derivatives via constructing new generating functions

School of Mathematics and Statistics, Tianshui Normal University(天水师范学院数学与统计学院);Department of Mathematics, Shanghai University(上海大学数学系)

Hengfei Ding, Changpin Li

AI总结:

本文通过构造新生成函数建立高阶数值算法,改进了经典Lubich差分公式在时间依赖问题中的收敛阶和稳定性,并通过数值实验验证了算法的有效性。

摘要:

通过构造新的生成函数,建立了一类高阶数值算法用于Riesz导数。这些新的高阶公式可视为经典(或移位)Lubich差分公式的修改,显著提高了时间依赖问题中Riesz导数的收敛阶和稳定性。随后,我们将二阶公式应用于一维Riesz空间分数偏微分方程,建立了无条件稳定的有限差分方案,收敛阶为$O(τ^2+h^2)$,其中$τ$和$h$分别为时间步长和空间步长。最后,通过一些数值实验来验证理论结果并证明所推导的数值算法的有效性。

英文摘要:

A class of high-order numerical algorithms for Riesz derivatives are established through constructing new generating functions. Such new high-order formulas can be regarded as the modification of the classical (or shifted) Lubich's difference ones, which greatly improve the convergence orders and stability for time-dependent problems with Riesz derivatives. In rapid sequence, we apply the 2nd-order formula to one-dimension Riesz spatial fractional partial differential equations to establish an unconditionally stable finite difference scheme with convergent order $O(τ^2+h^2)$, where $τ$ and $h$ are the temporal and spatial stepsizes, respectively. Finally, some numerical experiments are performed to confirm the theoretical results and testify the effectiveness of the derived numerical algorithms.

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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