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arXiv 1608.03077math.NAcs.NA
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分数紧凑数值算法用于Riesz空间分数反应-扩散方程

Fractional-compact numerical algorithms for Riesz spatial fractional reaction-dispersion equations

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:

本文提出高阶分数紧凑数值算法用于求解Riesz导数的分数反应-扩散方程,通过能量分析法研究算法稳定性与收敛性,并通过数值模拟验证算法效率与收敛阶。

摘要:

众所周知,使用高阶数值算法求解分数微分方程几乎与低阶算法有相同的计算成本,但精度(或收敛阶)显著提高,这是由于分数算子的非局部性质。因此,开发一些高阶数值近似公式用于分数导数在数值求解分数微分方程中具有更重要的作用。本文聚焦于构造(广义)高阶分数紧凑数值近似公式用于Riesz导数。然后将所开发的公式应用于一维和二维的Riesz空间分数反应-扩散方程。通过能量分析法严格研究所推导的数值算法的稳定性与收敛性。最后,给出数值模拟以展示所提数值算法的效率和收敛阶。

英文摘要:

It is well known that using high-order numerical algorithms to solve fractional differential equations leads to almost the same computational cost with low-order ones but the accuracy (or convergence order) is greatly improved, due to the nonlocal properties of fractional operators. Therefore, developing some high-order numerical approximation formulas for fractional derivatives play a more important role in numerically solving fractional differential equations. This paper focuses on constructing (generalized) high-order fractional-compact numerical approximation formulas for Riesz derivatives. Then we apply the developed formulas to the one- and two-dimension Riesz spatial fractional reaction-dispersion equations. The stability and convergence of the derived numerical algorithms are strictly studied by using the energy analysis method. Finally, numerical simulations are given to demonstrate the efficiency and convergence orders of the presented 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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