arrow
Volume 13, Issue 4
Errors of an Implicit Variable-Step BDF2 Method for a Molecular Beam Epitaxial Model with Slope Selection

Xuan Zhao, Haifeng Zhang & Hong Sun

East Asian J. Appl. Math., 13 (2023), pp. 886-913.

Published online: 2023-10

Export citation
  • Abstract

Unconditionally stable and convergent variable-step BDF2 scheme for solving the MBE model with slope selection is derived. Discrete orthogonal convolution kernels of the variable-step BDF2 method are commonly utilized for solving the phase field models. We present new inequalities, concerning the vector forms, for the kernels especially dealing with nonlinear terms in the slope selection model. The convergence rate of the fully discrete scheme is proved to be two both in time and space in $L^2$ norm under the setting of the variable time steps. Energy dissipation law is proved rigorously with a modified energy by adding a small term to the discrete version of the original free energy functional. Two numerical examples including an adaptive time-stepping strategy are given to verify the convergence rate and the energy dissipation law.

  • AMS Subject Headings

35Q92, 65M06, 65M12, 74A50

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{EAJAM-13-886, author = {Zhao , XuanZhang , Haifeng and Sun , Hong}, title = {Errors of an Implicit Variable-Step BDF2 Method for a Molecular Beam Epitaxial Model with Slope Selection}, journal = {East Asian Journal on Applied Mathematics}, year = {2023}, volume = {13}, number = {4}, pages = {886--913}, abstract = {

Unconditionally stable and convergent variable-step BDF2 scheme for solving the MBE model with slope selection is derived. Discrete orthogonal convolution kernels of the variable-step BDF2 method are commonly utilized for solving the phase field models. We present new inequalities, concerning the vector forms, for the kernels especially dealing with nonlinear terms in the slope selection model. The convergence rate of the fully discrete scheme is proved to be two both in time and space in $L^2$ norm under the setting of the variable time steps. Energy dissipation law is proved rigorously with a modified energy by adding a small term to the discrete version of the original free energy functional. Two numerical examples including an adaptive time-stepping strategy are given to verify the convergence rate and the energy dissipation law.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.2022-286.271222}, url = {http://global-sci.org/intro/article_detail/eajam/22067.html} }
TY - JOUR T1 - Errors of an Implicit Variable-Step BDF2 Method for a Molecular Beam Epitaxial Model with Slope Selection AU - Zhao , Xuan AU - Zhang , Haifeng AU - Sun , Hong JO - East Asian Journal on Applied Mathematics VL - 4 SP - 886 EP - 913 PY - 2023 DA - 2023/10 SN - 13 DO - http://doi.org/10.4208/eajam.2022-286.271222 UR - https://global-sci.org/intro/article_detail/eajam/22067.html KW - Molecular beam epitaxial growth, slope selection, variable-step BDF2 scheme, energy stability, convergence. AB -

Unconditionally stable and convergent variable-step BDF2 scheme for solving the MBE model with slope selection is derived. Discrete orthogonal convolution kernels of the variable-step BDF2 method are commonly utilized for solving the phase field models. We present new inequalities, concerning the vector forms, for the kernels especially dealing with nonlinear terms in the slope selection model. The convergence rate of the fully discrete scheme is proved to be two both in time and space in $L^2$ norm under the setting of the variable time steps. Energy dissipation law is proved rigorously with a modified energy by adding a small term to the discrete version of the original free energy functional. Two numerical examples including an adaptive time-stepping strategy are given to verify the convergence rate and the energy dissipation law.

Xuan Zhao, Haifeng Zhang & Hong Sun. (2023). Errors of an Implicit Variable-Step BDF2 Method for a Molecular Beam Epitaxial Model with Slope Selection. East Asian Journal on Applied Mathematics. 13 (4). 886-913. doi:10.4208/eajam.2022-286.271222
Copy to clipboard
The citation has been copied to your clipboard