Liao, Hong-Lin; Zhang, Zhimin Analysis of adaptive BDF2 scheme for diffusion equations. (English) Zbl 1466.65067 Math. Comput. 90, No. 329, 1207-1226 (2021). Summary: The variable two-step backward differentiation formula (BDF2) is revisited via a new theoretical framework using the positive semi-definiteness of BDF2 convolution kernels and a class of orthogonal convolution kernels. We prove that, if the adjacent time-step ratios \(r_k:=\tau_k/\tau_{k-1}\le (3+\sqrt{17})/2\approx 3.561\), the adaptive BDF2 time-stepping scheme for linear reaction-diffusion equations is unconditionally stable and (maybe, first-order) convergent in the \(L^2\) norm. The second-order temporal convergence can be recovered if almost all of time-step ratios \(r_k\le 1+\sqrt{2}\) or some high-order starting scheme is used. Specially, for linear dissipative diffusion problems, the stable BDF2 method preserves both the energy dissipation law (in the \(H^1\) seminorm) and the \(L^2\) norm monotonicity at the discrete levels. An example is included to support our analysis. Cited in 2 ReviewsCited in 16 Documents MSC: 65M06 Finite difference methods for initial value and initial-boundary value problems involving PDEs 65M12 Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs 65M50 Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs Keywords:linear diffusion equations; adaptive BDF2 scheme; orthogonal convolution kernels; positive semi-definiteness; stability and convergence Software:ode45; MATLAB ODE suite; Matlab; ode23s; ode113; Ode15s; ode23 PDF BibTeX XML Cite \textit{H.-L. Liao} and \textit{Z. Zhang}, Math. Comput. 90, No. 329, 1207--1226 (2021; Zbl 1466.65067) Full Text: DOI arXiv OpenURL References: [1] Becker, J., A second order backward difference method with variable steps for a parabolic problem, BIT, 38, 4, 644-662 (1998) · Zbl 0923.65050 [2] Chen, Wenbin; Wang, Xiaoming; Yan, Yue; Zhang, Zhuying, A second order BDF numerical scheme with variable steps for the Cahn-Hilliard equation, SIAM J. Numer. Anal., 57, 1, 495-525 (2019) · Zbl 1435.65142 [3] Crouzeix, M.; Lisbona, F. J., The convergence of variable-stepsize, variable-formula, multistep methods, SIAM J. Numer. Anal., 21, 3, 512-534 (1984) · Zbl 0542.65038 [4] Emmrich, Etienne, Stability and error of the variable two-step BDF for semilinear parabolic problems, J. Appl. Math. Comput., 19, 1-2, 33-55 (2005) · Zbl 1082.65086 [5] Gear, C. W.; Tu, K. W., The effect of variable mesh size on the stability of multistep methods, SIAM J. Numer. Anal., 11, 1025-1043 (1974) · Zbl 0292.65041 [6] Grigorieff, Rolf Dieter, Stability of multistep-methods on variable grids, Numer. Math., 42, 3, 359-377 (1983) · Zbl 0554.65051 [7] Hairer, E.; N\o rsett, S. P.; Wanner, G., Solving Ordinary Differential Equations. I, Springer Series in Computational Mathematics 8, xvi+528 pp. (1993), Springer-Verlag, Berlin · Zbl 0789.65048 [8] Hundsdorfer, Willem; Ruuth, Steven J.; Spiteri, Raymond J., Monotonicity-preserving linear multistep methods, SIAM J. Numer. Anal., 41, 2, 605-623 (2003) · Zbl 1050.65070 [9] Le Roux, Marie-No\"{e}lle, Variable step size multistep methods for parabolic problems, SIAM J. Numer. Anal., 19, 4, 725-741 (1982) · Zbl 0483.65033 [10] Liao, Hong-Lin; Sun, Zhi-Zhong, Maximum norm error bounds of ADI and compact ADI methods for solving parabolic equations, Numer. Methods Partial Differential Equations, 26, 1, 37-60 (2010) · Zbl 1196.65154 [11] Liao, Hong-lin; Lyu, Pin; Vong, Seakweng, Second-order BDF time approximation for Riesz space-fractional diffusion equations, Int. J. Comput. Math., 95, 1, 144-158 (2018) · Zbl 1387.65088 [12] LiaoJiZhang:2019 H.-L. Liao, B. Ji and L. Zhang, An adaptive BDF2 implicit time-stepping method for the phase field crystal model, IMA L. Numer. Anal., 2020. DOI 10.1093/imanum/draa075. [13] Liao, Hong-lin; Tang, Tao; Zhou, Tao, On energy stable, maximum-principle preserving, second-order BDF scheme with variable steps for the Allen-Cahn equation, SIAM J. Numer. Anal., 58, 4, 2294-2314 (2020) · Zbl 1447.65083 [14] Nishikawa, Hiroaki, On large start-up error of BDF2, J. Comput. Phys., 392, 456-461 (2019) · Zbl 1452.65126 [15] Shampine, Lawrence F.; Reichelt, Mark W., The MATLAB ODE suite, SIAM J. Sci. Comput., 18, 1, 1-22 (1997) · Zbl 0868.65040 [16] Thom\'{e}e, Vidar, Galerkin Finite Element Methods for Parabolic Problems, Springer Series in Computational Mathematics 25, xii+370 pp. (2006), Springer-Verlag, Berlin · Zbl 1105.65102 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.