Optimal error estimate of the finite element approximation of second order semilinear non-autonomous parabolic PDEs

被引:0
|
作者
Tambue, Antoine [1 ,2 ,3 ,4 ]
Mukam, Jean Daniel [5 ]
机构
[1] Western Norway Univ Appl Sci, Dept Comp Sci Elect Engn & Math Sci, Inndalsveien 28, N-5063 Bergen, Norway
[2] Univ Cape Town, Ctr Res Computat & Appl Mech CERECAM, ZA-7701 Rondebosch, South Africa
[3] Univ Cape Town, Dept Math & Appl Math, ZA-7701 Rondebosch, South Africa
[4] African Inst Math Sci AIMS South Africa, 6-8 Melrose Rd, ZA-7945 Muizenberg, South Africa
[5] Tech Univ Chemnitz, Fak Math, D-09126 Chemnitz, Germany
来源
INDAGATIONES MATHEMATICAE-NEW SERIES | 2020年 / 31卷 / 04期
关键词
Non-autonomous parabolic partial differential equations; Finite element method; Error estimate; Two parameters evolution operator; one-sided Lipschitz condition; Polynomial growth condition; EXPONENTIAL INTEGRATOR; STRONG-CONVERGENCE; EULER METHOD; DISCRETIZATION; EQUATIONS;
D O I
10.1016/j.indag.2020.06.008
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this work, numerical approximation of the second order non-autonomous semilinear parabolic partial differential equations (PDEs) is investigated using the classical finite element method. To the best of our knowledge, only the linear case is investigated in the literature. Using an approach based on evolution operator depending on two parameters, we obtain the error estimate of the semi-discrete scheme based on finite element method toward the mild solution of semilinear non-autonomous PDEs under polynomial growth and one-sided Lipschitz conditions of the nonlinear term. Our convergence rate is obtained with general non-smooth initial data, and is similar to that of the autonomous case. Such convergence result is very important in numerical analysis. For instance, it is one step forward for numerical approximation of non-autonomous stochastic partial differential equations with the finite element method. (C) 2020 Royal Dutch Mathematical Society (KWG). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:714 / 727
页数:14
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