Stability and error estimates for the variable step-size BDF2 method for linear and semilinear parabolic equations

被引:0
作者
Wansheng Wang
Mengli Mao
Zheng Wang
机构
[1] Shanghai Normal University,Department of Mathematics
来源
Advances in Computational Mathematics | 2021年 / 47卷
关键词
Linear parabolic equations; Semilinear parabolic equations; Variable step-size BDF2 method; Stability; Error estimates; 65M12; 65M15; 65L06; 65J08;
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摘要
In this paper, stability and error estimates for time discretizations of linear and semilinear parabolic equations by the two-step backward differentiation formula (BDF2) method with variable step-sizes are derived. An affirmative answer is provided to the question: whether the upper bound of step-size ratios for the l∞(0,T;H)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$l^{\infty }(0,T;H)$\end{document}-stability of the BDF2 method for linear and semilinear parabolic equations is identical with the upper bound for the zero-stability. The l∞(0,T;V)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$l^{\infty }(0,T;V)$\end{document}-stability of the variable step-size BDF2 method is also established under more relaxed condition on the ratios of consecutive step-sizes. Based on these stability results, error estimates in several different norms are derived. To utilize the BDF method, the trapezoidal method and the backward Euler scheme are employed to compute the starting value. For the latter choice, order reduction phenomenon of the constant step-size BDF2 method is observed theoretically and numerically in several norms. Numerical results also illustrate the effectiveness of the proposed method for linear and semilinear parabolic equations.
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