English

A symmetrized parametric finite element method for anisotropic surface diffusion of closed curves

Numerical Analysis 2022-10-27 v3 Numerical Analysis

Abstract

We deal with a long-standing problem about how to design an energy-stable numerical scheme for solving the motion of a closed curve under {\sl anisotropic surface diffusion} with a general anisotropic surface energy γ(n)\gamma(\boldsymbol{n}) in two dimensions, where n\boldsymbol{n} is the outward unit normal vector. By introducing a novel symmetric positive definite surface energy matrix Zk(n)Z_k(\boldsymbol{n}) depending on the Cahn-Hoffman ξ\boldsymbol{\xi}-vector and a stabilizing function k(n)k(\boldsymbol{n}), we first reformulate the anisotropic surface diffusion into a conservative form and then derive a new symmetrized variational formulation for the anisotropic surface diffusion with weakly or strongly anisotropic surface energies. A semi-discretization in space for the symmetrized variational formulation is proposed and its area (or mass) conservation and energy dissipation are proved. The semi-discretization is then discretized in time by either an implicit structural-preserving scheme (SP-PFEM) which preserves the area in the discretized level or a semi-implicit energy-stable method (ES-PFEM) which needs only solve a linear system at each time step. Under a relatively simple and mild condition on γ(n)\gamma(\boldsymbol{n}), we show that both SP-PFEM and ES-PFEM are unconditionally energy-stable for almost all anisotropic surface energies γ(n)\gamma(\boldsymbol{n}) arising in practical applications. Specifically, for several commonly-used anisotropic surface energies, we construct Zk(n)Z_k(\boldsymbol{n}) explicitly. Finally, extensive numerical results are reported to demonstrate the high performance of the proposed numerical schemes.

Keywords

Cite

@article{arxiv.2112.00508,
  title  = {A symmetrized parametric finite element method for anisotropic surface diffusion of closed curves},
  author = {Weizhu Bao and Wei Jiang and Yifei Li},
  journal= {arXiv preprint arXiv:2112.00508},
  year   = {2022}
}

Comments

25 pages, 8 figures