On symmetry breaking of Allen-Cahn
Dong Li, Chaoyu Quan, Tao Tang, Wen Yang

TL;DR
This paper investigates the unexpected convergence issues in numerical solutions of the Allen-Cahn equation, introduces a symmetry-preserving filter to correct this, and provides a rigorous theoretical framework for the improved convergence.
Contribution
It presents a novel symmetry-preserving filter technique and a new theoretical framework to ensure correct steady state convergence in numerical Allen-Cahn solutions.
Findings
High-precision discretizations can lead to incorrect steady states.
The proposed filter restores correct symmetry and convergence.
Theoretical proof of convergence for filtered solutions.
Abstract
We consider numerical solutions for the Allen-Cahn equation with standard double well potential and periodic boundary conditions. Surprisingly it is found that using standard numerical discretizations with high precision computational solutions may converge to completely incorrect steady states. This happens for very smooth initial data and state-of-the-art algorithms. We analyze this phenomenon and showcase the resolution of this problem by a new symmetry-preserving filter technique. We develop a new theoretical framework and rigorously prove the convergence to steady states for the filtered solutions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSolidification and crystal growth phenomena · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
