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arXiv · 2409.19481

The Efficient Variable Time-stepping DLN Algorithms for the Allen-Cahn Model

YiMing Chen·Dianlun Luo·Wenlong Pei·Yulong Xing
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Abstract

We consider a family of variable time-stepping Dahlquist-Liniger-Nevanlinna (DLN) schemes, which is unconditional non-linear stable and second order accurate, for the Allen-Cahn equation. The finite element methods are used for the spatial discretization. For the non-linear term, we combine the DLN scheme with two efficient temporal algorithms: partially implicit modified algorithm and scalar auxiliary variable algorithm. For both approaches, we prove the unconditional, long-term stability of the model energy under any arbitrary time step sequence. Moreover, we provide rigorous error analysis for the partially implicit modified algorithm with variable time-stepping. Efficient time adaptive algorithms based on these schemes are also proposed. Several one- and two-dimensional numerical tests are presented to verify the properties of the proposed time adaptive DLN methods.

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YiMing Chen, Dianlun Luo, Wenlong Pei, Yulong Xing. 2024-09-28. The Efficient Variable Time-stepping DLN Algorithms for the Allen-Cahn Model. https://arxiv.org/abs/2409.19481

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