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April 22, 2026Journal of Mathematics0 citationsOpen Access

Maximum‐Bound‐Principle‐Preserving Predictor–Corrector Methods for the Time‐Fractional Allen–Cahn Equation With General Nonlinear Potential

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JLJianxin LiHJHuiling JiangZQZeshan Qiu

Key Points

  • The aim is to enhance numerical methods for the time-fractional Allen-Cahn equation while preserving energy and bounds.
  • Developed a variable-step L2-1 σ numerical framework incorporating predictor-corrector methodology.
  • Maintained the maximum bound principle with second-order temporal convergence.
  • Conducted numerical experiments to assess performance.
  • Successfully preserved the energy dissipation property and bound-preserving criteria.
  • Demonstrated improved numerical precision and computational efficiency.
  • Achieved long-term bound-preserving performance in simulations.

Abstract

The newly developed variable‐step L2‐1 σ numerical framework successfully achieves simultaneous retention of the energy dissipation property and bound‐preserving criterion for the time‐fractional Allen–Cahn equation with a double‐well potential. In this work, we further extend this scheme by incorporating the predictor–corrector methodology, enabling the extended algorithm to not only uphold the maximum bound principle for the time‐fractional Allen–Cahn equation involving general nonlinear potentials, but also retain a linear‐implicit structure along with a second‐order temporal convergence rate. Comprehensive numerical experiments are conducted in the end to verify the numerical precision, computational efficiency, and long‐term bound‐preserving performance of the proposed approach.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69e865476e0dea528dde9c2chttps://doi.org/10.1155/jom/1657317
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