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Discrete anisotropic curve shortening flow in higher codimension

Klaus Deckelnick, Robert Nürnberg

TL;DR

This work develops a mathematically rigorous and computationally practical framework for anisotropic curve shortening flow of curves in arbitrary codimension. By applying a DeTurck-type reformulation, the authors obtain a strictly parabolic, divergence-form PDE that admits a variational finite element discretization. They prove unconditional stability for the fully discrete scheme and establish optimal error bounds: a in L2-norm of order $h^2$ in the H1 estimate and order $h^4$ in L2, under a mild coupling between space and time discretization. Numerical experiments in plane and in 3D validate convergence rates and demonstrate robust behavior across isotropic and anisotropic, including crystalline-like, anisotropies, while also illustrating how tangential motion yields well-distributed mesh points and the method’s ability to handle singularities up to the limits of the theory.

Abstract

We introduce a novel formulation for the evolution of parametric curves by anisotropic curve shortening flow in ${\mathbb R}^d$, $d\geq2$. The reformulation hinges on a suitable manipulation of the parameterization's tangential velocity, leading to a strictly parabolic differential equation. Moreover, the derived equation is in divergence form, giving rise to a natural variational numerical method. For a fully discrete finite element approximation based on piecewise linear elements we prove optimal error estimates. Numerical simulations confirm the theoretical results and demonstrate the practicality of the method.

Discrete anisotropic curve shortening flow in higher codimension

TL;DR

This work develops a mathematically rigorous and computationally practical framework for anisotropic curve shortening flow of curves in arbitrary codimension. By applying a DeTurck-type reformulation, the authors obtain a strictly parabolic, divergence-form PDE that admits a variational finite element discretization. They prove unconditional stability for the fully discrete scheme and establish optimal error bounds: a in L2-norm of order in the H1 estimate and order in L2, under a mild coupling between space and time discretization. Numerical experiments in plane and in 3D validate convergence rates and demonstrate robust behavior across isotropic and anisotropic, including crystalline-like, anisotropies, while also illustrating how tangential motion yields well-distributed mesh points and the method’s ability to handle singularities up to the limits of the theory.

Abstract

We introduce a novel formulation for the evolution of parametric curves by anisotropic curve shortening flow in , . The reformulation hinges on a suitable manipulation of the parameterization's tangential velocity, leading to a strictly parabolic differential equation. Moreover, the derived equation is in divergence form, giving rise to a natural variational numerical method. For a fully discrete finite element approximation based on piecewise linear elements we prove optimal error estimates. Numerical simulations confirm the theoretical results and demonstrate the practicality of the method.
Paper Structure (12 sections, 132 equations, 11 figures, 2 tables)

This paper contains 12 sections, 132 equations, 11 figures, 2 tables.

Figures (11)

  • Figure 1: Plots of the ratio ${\mathfrak r}^m$ for \ref{['eq:fea']} over time. Left: \ref{['eq:fea']}, middle: Dziuk99, right: triplejANI.
  • Figure 2: Anisotropic curvature flow for an ellipse for the anisotropy \ref{['eq:gammaD99b']} with $(k,{\widehat{\delta}})=(3, 0.124)$. Solution at times $t=0,0.05,\ldots,0.25$ on the left. We also show plots of the discrete energy $E_\phi(x_h^m)$ (middle) and of the ratio ${\mathfrak r}^m$ (right) over time.
  • Figure 3: Anisotropic curvature flow for a spiral for the anisotropy \ref{['eq:bgnL2']}. Solution at times $t=0,0.01,0.015,0.019$.
  • Figure 4: Isotropic curve shortening flow for the trefoil knot \ref{['eq:trefoil']}. On the left, $x_h^m$ at times $t=0,0.5,\ldots,2,T=2.45$, with $x_h^M$ on the right. Below we show plots of $E_\phi(x_h^m)$, ${\mathfrak r}^m$ and $1/K^m_\infty$ over time.
  • Figure 5: Isotropic curve shortening flow for the two interlocked rings \ref{['eq:irings']}. On the left, $x_h^m$ at times $t=0,0.25,\ldots,2,T=2.1$, in the middle $x^M_h$, with $x_h^m$ at time $t=0.5$ on the right. Below we also show plots of $E_\phi(x_h^m)$, ${\mathfrak r}^m$ and $1/K^m_\infty$ over time.
  • ...and 6 more figures

Theorems & Definitions (8)

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