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Research Article | Open Access

Stability analysis of an explicit numerical scheme for the Allen-Cahn equation with high-order polynomial potentials

Jaeyong Choi1Seokjun Ham2Soobin Kwak2Youngjin Hwang2Junseok Kim2( )
College of Natural & Applied Sciences, University of Guam, 303 University Drive, Mangilao 96923, Guam, USA
Department of Mathematics, Korea University, Seoul 02841, Republic of Korea
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Abstract

The Allen-Cahn (AC) model is a mathematical equation that represents the phase separation process. The AC equation has numerous applications in various disciplines, such as image processing, physics, and biology. It models phase transitions, such as solidification and grain growth in materials, pattern formation in chemical reactions, and domain coarsening in biological systems like lipid membranes. Numerical methods are crucial for solving the AC equation due to its complexity and nonlinear nature. Analytical solutions are often extremely difficult to obtain. Therefore, the development of efficient numerical techniques is indispensable for approximating solutions and studying phase transitions, material behavior, and pattern formation accurately. We investigate the stability of an explicit finite difference method (FDM) used to numerically solve the two-dimensional (2D) AC model with a high-order polynomial potential, which was recently proposed to preserve a more intricate structure of interfaces. To demonstrate the precision and optimal estimate of our stability constraints, we conduct various computational tests using the derived time step formulas that ensure the maximum principle.

CLC number: 39A14, 65D25, 65N06

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AIMS Mathematics
Pages 19332-19344

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Cite this article:
Choi J, Ham S, Kwak S, et al. Stability analysis of an explicit numerical scheme for the Allen-Cahn equation with high-order polynomial potentials. AIMS Mathematics, 2024, 9(7): 19332-19344. https://doi.org/10.3934/math.2024941

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Received: 01 April 2024
Revised: 31 May 2024
Accepted: 06 June 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)