Discrete anisotropic curve shortening flow in higher codimension

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Hauptverfasser: Deckelnick, Klaus, Nürnberg, Robert
Format: Preprint
Veröffentlicht: 2023
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author Deckelnick, Klaus
Nürnberg, Robert
author_facet Deckelnick, Klaus
Nürnberg, Robert
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2310_02138
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Discrete anisotropic curve shortening flow in higher codimension
Deckelnick, Klaus
Nürnberg, Robert
Numerical Analysis
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.
title Discrete anisotropic curve shortening flow in higher codimension
topic Numerical Analysis
url https://arxiv.org/abs/2310.02138