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Volume 38, Issue 3
Error Analysis of the Supplementary Variable Method for the Allen-Cahn Model

Xuehua Song, Binquan Ji, Yuezheng Gong & Yushun Wang

Commun. Comput. Phys., 38 (2025), pp. 684-710.

Published online: 2025-08

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  • Abstract

The supplementary variable method has received much attention as a new technique to construct structure-preserving algorithm that can preserve the original energy law. However, there has been a lack of relevant convergence analysis results, mainly because the method requires solving a nonlinear algebraic equation for the supplementary variable, and the non-uniqueness of its root makes estimating the root’s error very difficult. In this paper, we take the Allen-Cahn model as an example and construct a second-order scheme using the supplementary variable method that preserves the original energy dissipation law. We then give a sufficient condition to ensure that the root of the nonlinear algebraic equation exists uniquely in the neighborhood of its exact solution. Under this condition, and when the time step is sufficiently small, we establish a rigorous error estimator for this scheme. Finally, we validate the effectiveness of the proposed scheme through several numerical examples.

  • AMS Subject Headings

35Q99, 65M06, 65M12

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COPYRIGHT: © Global Science Press

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@Article{CiCP-38-684, author = {Song , XuehuaJi , BinquanGong , Yuezheng and Wang , Yushun}, title = {Error Analysis of the Supplementary Variable Method for the Allen-Cahn Model}, journal = {Communications in Computational Physics}, year = {2025}, volume = {38}, number = {3}, pages = {684--710}, abstract = {

The supplementary variable method has received much attention as a new technique to construct structure-preserving algorithm that can preserve the original energy law. However, there has been a lack of relevant convergence analysis results, mainly because the method requires solving a nonlinear algebraic equation for the supplementary variable, and the non-uniqueness of its root makes estimating the root’s error very difficult. In this paper, we take the Allen-Cahn model as an example and construct a second-order scheme using the supplementary variable method that preserves the original energy dissipation law. We then give a sufficient condition to ensure that the root of the nonlinear algebraic equation exists uniquely in the neighborhood of its exact solution. Under this condition, and when the time step is sufficiently small, we establish a rigorous error estimator for this scheme. Finally, we validate the effectiveness of the proposed scheme through several numerical examples.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2024-0256}, url = {http://global-sci.org/intro/article_detail/cicp/24312.html} }
TY - JOUR T1 - Error Analysis of the Supplementary Variable Method for the Allen-Cahn Model AU - Song , Xuehua AU - Ji , Binquan AU - Gong , Yuezheng AU - Wang , Yushun JO - Communications in Computational Physics VL - 3 SP - 684 EP - 710 PY - 2025 DA - 2025/08 SN - 38 DO - http://doi.org/10.4208/cicp.OA-2024-0256 UR - https://global-sci.org/intro/article_detail/cicp/24312.html KW - Allen-Cahn model, supplementary variables method, second order, original energy dissipation law, $H^2$ norm error estimate. AB -

The supplementary variable method has received much attention as a new technique to construct structure-preserving algorithm that can preserve the original energy law. However, there has been a lack of relevant convergence analysis results, mainly because the method requires solving a nonlinear algebraic equation for the supplementary variable, and the non-uniqueness of its root makes estimating the root’s error very difficult. In this paper, we take the Allen-Cahn model as an example and construct a second-order scheme using the supplementary variable method that preserves the original energy dissipation law. We then give a sufficient condition to ensure that the root of the nonlinear algebraic equation exists uniquely in the neighborhood of its exact solution. Under this condition, and when the time step is sufficiently small, we establish a rigorous error estimator for this scheme. Finally, we validate the effectiveness of the proposed scheme through several numerical examples.

Song , XuehuaJi , BinquanGong , Yuezheng and Wang , Yushun. (2025). Error Analysis of the Supplementary Variable Method for the Allen-Cahn Model. Communications in Computational Physics. 38 (3). 684-710. doi:10.4208/cicp.OA-2024-0256
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