Error Estimate of Finite Element Approximation for Two-Sided Space-Fractional Evolution Equation with Variable Coefficient

被引:4
|
作者
Liu, Huan [1 ]
Zheng, Xiangcheng [2 ]
Wang, Hong [3 ]
Fu, Hongfei [4 ]
机构
[1] Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
[2] Peking Univ, Sch Math Sci, Beijing 100871, Peoples R China
[3] Univ South Carolina, Dept Math, Columbia, SC 29208 USA
[4] Ocean Univ China, Sch Math Sci, Qingdao 266100, Shandong, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会; 中国国家自然科学基金;
关键词
Space-fractional diffusion equation; Variable-coefficient; Finite element method; Optimal-order error estimate; Regularity; VARIATIONAL FORMULATION; DIFFUSION EQUATION; COLLOCATION METHOD; VOLUME METHOD; ADVECTION; REGULARITY; WELLPOSEDNESS; GUIDE; PDES;
D O I
10.1007/s10915-021-01698-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we develop and analyze a finite element method (FEM) for a one-dimensional two-sided time-dependent space-fractional diffusion equation (sFDE) with variable diffusivity. We first prove the regularity of the solution to the steady-state sFDE equipped with variable diffusivity and then utilize the regularity estimate to analyze the property of an elliptic projection, which is of great importance to derive the error estimate for the time-dependent evolution problems. It has been well-known that the bilinear form corresponding to the finite element weak formulation for variable coefficient problems may not be coercive, and thus the well-posedness of the weak formulation can not be guaranteed. To perform the error estimate, we reformulate the steady-state equation to its equivalent form and then prove the weak coercivity of the corresponding bilinear form via the Garding's inequality, which leads to optimal-order error estimates of the FEM to the steady-state equation and thus to the interested evolution equation. Compared with some existing works on the FEM to variable-coefficient space-fractional problems, the main advantages of the developed numerical analysis techniques lie in the relaxed assumptions on the variable coefficient and its potential extensions to high-dimensional problems. Numerical experiments are performed to verify the theoretical findings.
引用
收藏
页数:19
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