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Numerical Analysis of Two Galerkin Discretizations with Graded Temporal Grids for Fractional Evolution Equations
Journal of Scientific Computing ( IF 2.8 ) Pub Date : 2020-11-22 , DOI: 10.1007/s10915-020-01365-z
Binjie Li , Tao Wang , Xiaoping Xie

Two numerical methods with graded temporal grids are analyzed for fractional evolution equations. One is a low-order discontinuous Galerkin (DG) discretization in the case of fractional order \(0<\alpha <1\), and the other one is a low-order Petrov Galerkin (PG) discretization in the case of fractional order \(1<\alpha <2\). By a new duality technique, pointwise-in-time error estimates of first-order and \( (3-\alpha ) \)-order temporal accuracies are respectively derived for DG and PG, under reasonable regularity assumptions on the initial value. Numerical experiments are performed to verify the theoretical results.



中文翻译:

分数阶演化方程的两个带梯度时间网格的Galerkin离散化的数值分析

分析了分数阶演化方程的两种带有渐变时间网格的数值方法。一个是分数阶\(0 <\ alpha <1 \)的低阶不连续Galerkin(DG)离散,另一个是分数阶数的低阶Petrov Galerkin(PG)离散\(1 <\ alpha <2 \)。通过一种新的对偶技术,在合理的初始值假设的前提下,分别为DG和PG导出了一阶和\((3- \ alpha)\)阶时间精度的时间点实时误差估计。进行数值实验以验证理论结果。

更新日期:2020-11-22
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