Convergence analysis of the time-stepping numerical methods for time-fractional nonlinear subdiffusion equations

被引:15
|
作者
Zhang, Hui [1 ]
Zeng, Fanhai [1 ]
Jiang, Xiaoyun [1 ]
Karniadakis, George Em [2 ]
机构
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
[2] Brown Univ, Div Appl Math, Providence, RI 02912 USA
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
time-fractional nonlinear subdiffusion equations; discrete fractional Gronwall inequality; fast time-stepping methods; convergence analysis; FINITE-DIFFERENCE METHODS; CONVOLUTION QUADRATURE; DIFFUSION EQUATION; ERROR ANALYSIS; SCHEME; ALGORITHMS; DISCRETIZATION; APPROXIMATIONS; MESHES;
D O I
10.1007/s13540-022-00022-6
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In 1986, Dixon and McKee (Z Angew Math Mech 66:535-544, 1986) developed a discrete fractional Gronwall inequality, which can be seen as a generalization of the classical discrete Gronwall inequality. However, this generalized discrete Gronwall inequality and its variant (Al-Maskari and Karaa in SIAM J Numer Anal 57:1524-1544, 2019) have not been widely applied in the numerical analysis of the time-stepping methods for the time-fractional evolution equations. The main purpose of this paper is to show how to apply the generalized discrete Gronwall inequality to prove the convergence of a class of time-stepping numerical methods for timefractional nonlinear subdiffusion equations, including the popular fractional backward difference type methods of order one and two, and the fractional Crank-Nicolson type methods. We obtain the optimal L 2 error estimate in space discretization for multidimensional problems. The convergence of the fast time-stepping numerical methods is also proved in a simple manner. The present work unifies the convergence analysis of several existing time-stepping schemes. Numerical examples are provided to verify the effectiveness of the present method.
引用
收藏
页码:453 / 487
页数:35
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