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Research Article | Open Access

An unconditionally stable hybrid numerical method for the gradient flow for the high-order Modica–Mortola functional

Hyundong Kim1,2Zhengang Li3Xinpei Wu4Hyunho Shin4Yunjae Nam3Junseok Kim4( )
Department of Mathematics and Physics, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea
Institute for Smart Infrastructure, Gangneung-Wonju National University, Gangneung 25457, Republic of Korea
Program in Actuarial Science and Financial Engineering, Korea University, Seoul 02841, Republic of Korea
Department of Mathematics, Korea University, Seoul 02841, Republic of Korea
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Abstract

This paper presents a numerically stable, time-accurate algorithm for simulating the gradient flow associated with the Modica–Mortola functional with a uniformly spaced multi-well potential. The scheme uses operator splitting; the nonlinear component is updated analytically, while the linear part is advanced by a Fourier spectral discretization. The method is unconditionally stable, preserves pointwise boundedness independently of the time step size, and attains spectral accuracy in space and first-order accuracy in time. We provide a theoretical analysis establishing unconditional stability and boundedness, and present comprehensive numerical experiments that demonstrate the accuracy and robustness of the proposed approach.

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Electronic Research Archive
Pages 6375-6390

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Cite this article:
Kim H, Li Z, Wu X, et al. An unconditionally stable hybrid numerical method for the gradient flow for the high-order Modica–Mortola functional. Electronic Research Archive, 2025, 33(10): 6375-6390. https://doi.org/10.3934/era.2025281

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Received: 26 August 2025
Revised: 20 October 2025
Accepted: 20 October 2025
Published: 27 October 2025
©2025 the Author(s), licensee AIMS Press.

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