Efficient numerical solution of the Allen–Cahn equation via a non-lumping Galerkin finite element method
Source abstract
Abstract
This work elaborates and investigates an effective numerical method for solving nonlinear Allen–Cahn equation. In particular, we focused on a time discretization scheme using the Crank–Nicolson (CN) method combined with space discretization using the non-lumping Galerkin finite element method. Fully discrete solutions address nonlinear terms that lose their real characteristics. Our approach avoids the lumping or linearization of the CN scheme and hence holds the accuracy regarding the treatment of non-linearity of this method. In addition, a priori error estimates concerning the semi-discrete scheme in the L∞(L2)-norm are derived. In addition, we investigated the stability of the fully discrete scheme to ensure its robustness. Numerical results are presented for problems with three different boundary conditions, and it is seen that these results are consistent with the analytical solution and exhibit good convergence with high accuracy.
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Research context
OpenAlex topics: Solidification and crystal growth phenomena · Advanced Numerical Methods in Computational Mathematics · Advanced Mathematical Modeling in Engineering
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Affiliations
Department of Mathematics, Faculty of Science and Health, Koya University , Koya KOY45, Kurdistan Region - F.R.,
References (26)
Show source-provided references
1. A microscopic theory for antiphase boundary motion and its application to antiphase domain coarsening10.1016/0001-6160(79)90196-2 ↗
2. 2012
3. Numerical analysis of the Allen-Cahn equation and approximation for mean curvature flows10.1007/s00211-002-0413-1 ↗
4. Phase-field model for isothermal phase transitions in binary alloys10.1103/physreva.45.7424 ↗
5. Geometrical image segmentation by the Allen–Cahn equation10.1016/j.apnum.2004.05.001 ↗
6. A wavelet-laplace variational technique for image deconvolution and inpainting10.1109/tip.2008.919367 ↗
7. Phase-field models for microstructure evolution10.1146/annurev.matsci.32.112001.132041 ↗
8. Convergence of numerical solutions to the Allen-Cahn equation
9. An unconditionally gradient stable numerical method for solving the Allen–Cahn equation10.1016/j.physa.2009.01.026 ↗
10. Numerical analysis for a nonlocal Allen-Cahn equation
11. A posteriori error estimates and an adaptive finite element method for the Allen–Cahn equation and the mean curvature flow10.1007/s10915-004-4610-1 ↗
12. Error analysis of stabilized semi-implicit method of Allen-Cahnequation10.3934/dcdsb.2009.11.1057 ↗
13. H. Li and J.Hu, “Analysis of a second order discontinuous Galerkin finite element method for the Allen-Cahn equation and the curvature-driven geometric flow,” arXiv:1712.03098 (2017).
14. Optimal error estimates of Galerkin finite element methods for stochastic Allen–Cahn equation with additive noise10.1007/s10915-019-00973-8 ↗
15. A posteriori error estimates for the Allen–Cahn problem10.1137/19m1277540 ↗
16. Numerical treatment of Allen’s equation using semi implicit finite difference methods10.23918/eajse.v8i1p90 ↗
17. Error estimates for fully discrete BDF finite element approximations of the Allen–Cahn equation10.1093/imanum/draa065 ↗
18. H.-l. Liao , T.Tang, X.Wang, and T.Zhou, “A class of refined implicit-explicit Runge-Kutta methods with robust time adaptability and unconditional convergence for the Cahn-Hilliard model,” arXiv:2412.07321 (2024).10.1090/mcom/4090 ↗
19. Adaptive discontinuous Galerkin finite element methods for the Allen-Cahn equation on polygonal meshes10.1007/s11075-023-01635-5 ↗
20. G. Zhang , J.Lin, Q.Zhai, H.Yang, X.Chen, X.Zheng, and I. T.Leong, “A priori error estimation of physics-informed neural networks solving Allen–Cahn and Cahn–Hilliard equations,” arXiv:2402.02667 (2024).10.2139/ssrn.5206451 ↗
21. Nonlinear stability of the implicit-explicit methods for the Allen-Cahn equation10.3934/ipi.2013.7.679 ↗
22. On the numerical investigations to the Cahn-Allen equation by using finite difference method10.11121/ijocta.01.2019.00561 ↗
23. Approximate solutions to the Allen-Cahn equation using rational radial basis functions method10.22067/ijnao.2022.76010.1123 ↗
24. Y. A. Sabawi , “Adaptive discontinuous Galerkin methods for interface problems,” Ph.D. thesis, University of Leicester, 2017.
25. Adaptive discontinuous Galerkin methods for elliptic interface problems10.1090/mcom/3322 ↗
26. Convergence of an adaptive discontinuous Galerkin method for elliptic interface problems10.1016/j.cam.2019.112397 ↗