Adaptive moving mesh methods for isotropic/anisotropic mean curvature flow with axisymmetric geometry
Abstract
This paper introduces adaptive moving mesh methods for the numerical simulation of axisymmetric mean curvature flow, addressing both isotropic and anisotropic cases. The methods are developed within the framework of the mesh equidistribution principle, where a carefully designed tangential velocity is employed to dynamically redistribute mesh points during the evolution. To accurately capture the key geometric features of the evolving interfaces, we select monitor functions based on the curvature κ, its arc-length derivative κs, and the squared curvature κ2. These monitor functions can be flexibly tailored to suit different problem settings and play a vital role in determining the resulting mesh quality and numerical accuracy. Spatial discretization is performed using central finite differences, while temporal integration is handled with first- and second-order time-stepping schemes, including the BDFk (k=1,2) and Crank-Nicolson methods. Additionally, a Lagrange multiplier approach is incorporated into the adaptive system to enforce the underlying geometric constraint, resulting in energy-stable numerical schemes. Numerical experiments confirm the convergence and energy stability of the proposed methods. More importantly, the results clearly show that the proposed methods offer significant advantages in complex geometric evolutions: by utilizing appropriately designed monitor functions, the adaptive methods achieve dynamic redistribution of mesh points, efficiently capturing localized geometric features, significantly improving numerical accuracy, and effectively preventing mesh degeneration, particularly in anisotropic cases.
Related
- Minimal Two-Spheres and Manifolds with Positive Isotropic Curvature
- Frequency Domain Biot--Allard Equations for Isotropic and Anisotropic Poroelastic Media: Two-field formulations and iterative splitting
- Ricci flow on manifolds with positive isotropic curvature in all dimensions
- Rigidity and flexibility under positive isotropic curvature
- Deformations of (2+1)-dimensional integrable systems and isotropic and anisotropic Harry Dym variants
BibTeX
@misc{wang2026adaptive,
title = {{Adaptive moving mesh methods for isotropic/anisotropic mean curvature flow with axisymmetric geometry}},
author = {Yiming Wang and Meng Li},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.13883},
eprint = {2609.13883},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.13883},
}
RIS
TY - UNPB
TI - Adaptive moving mesh methods for isotropic/anisotropic mean curvature flow with axisymmetric geometry
AU - Yiming Wang
AU - Meng Li
PY - 2026
DA - 2026/09/12
PB - arXiv
DO - 10.48550/arxiv.2609.13883
UR - https://arxiv.org/abs/2609.13883
AB - This paper introduces adaptive moving mesh methods for the numerical simulation of axisymmetric mean curvature flow, addressing both isotropic and anisotropic cases. The methods are developed within the framework of the mesh equidistribution principle, where a carefully designed tangential velocity is employed to dynamically redistribute mesh points during the evolution. To accurately capture the key geometric features of the evolving interfaces, we select monitor functions based on the curvature κ, its arc-length derivative κ_s, and the squared curvature κ^2. These monitor functions can be flexibly tailored to suit different problem settings and play a vital role in determining the resulting mesh quality and numerical accuracy. Spatial discretization is performed using central finite differences, while temporal integration is handled with first- and second-order time-stepping schemes, including the BDFk (k=1,2) and Crank-Nicolson methods. Additionally, a Lagrange multiplier approach is incorporated into the adaptive system to enforce the underlying geometric constraint, resulting in energy-stable numerical schemes. Numerical experiments confirm the convergence and energy stability of the proposed methods. More importantly, the results clearly show that the proposed methods offer significant advantages in complex geometric evolutions: by utilizing appropriately designed monitor functions, the adaptive methods achieve dynamic redistribution of mesh points, efficiently capturing localized geometric features, significantly improving numerical accuracy, and effectively preventing mesh degeneration, particularly in anisotropic cases.
ER -