Unconditionally Optimal Error Analysis of Crank-Nicolson Galerkin FEMs for a Strongly Nonlinear Parabolic System

被引:72
作者
Li, Dongfang [1 ,2 ,3 ]
Wang, Jilu [4 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Hubei Key Lab Engn Modeling & Sci Comp, Wuhan 430074, Hubei, Peoples R China
[3] City Univ Hong Kong, Dept Math, Kowloon, Hong Kong, Peoples R China
[4] Florida State Univ, Dept Comp Sci, Tallahassee, FL 32306 USA
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
Unconditionally optimal error analysis; Linearized Crank-Nicolson scheme; Galerkin FEMs; A strongly nonlinear parabolic system; FINITE-ELEMENT METHODS; DIFFUSION-EQUATIONS; VARIABLE-DENSITY; APPROXIMATIONS; CONVERGENCE; MEDIA;
D O I
10.1007/s10915-017-0381-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we present unconditionally optimal error estimates of linearized Crank-Nicolson Galerkin finite element methods for a strongly nonlinear parabolic system in . However, all previous works required certain time-step conditions that were dependent on the spatial mesh size. In order to overcome several entitative difficulties caused by the strong nonlinearity of the system, the proof takes two steps. First, by using a temporal-spatial error splitting argument and a new technique, optimal error estimates of the numerical schemes can be obtained under the condition , where denotes the time-step size and h is the spatial mesh size. Second, we obtain the boundedness of numerical solutions by mathematical induction and inverse inequality when . Then, optimal and error estimates are proved in a different way for such case. Numerical results are given to illustrate our theoretical analyses.
引用
收藏
页码:892 / 915
页数:24
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