A New Approach to the Analysis of Parametric Finite Element Approximations to Mean Curvature Flow

IF 2.5 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS Foundations of Computational Mathematics Pub Date : 2023-10-17 DOI:10.1007/s10208-023-09622-x
Genming Bai, Buyang Li
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Abstract

Parametric finite element methods have achieved great success in approximating the evolution of surfaces under various different geometric flows, including mean curvature flow, Willmore flow, surface diffusion, and so on. However, the convergence of Dziuk’s parametric finite element method, as well as many other widely used parametric finite element methods for these geometric flows, remains open. In this article, we introduce a new approach and a corresponding new framework for the analysis of parametric finite element approximations to surface evolution under geometric flows, by estimating the projected distance from the numerically computed surface to the exact surface, rather than estimating the distance between particle trajectories of the two surfaces as in the currently available numerical analyses. The new framework can recover some hidden geometric structures in geometric flows, such as the full \(H^1\) parabolicity in mean curvature flow, which is used to prove the convergence of Dziuk’s parametric finite element method with finite elements of degree \(k \ge 3\) for surfaces in the three-dimensional space. The new framework introduced in this article also provides a foundational mathematical tool for analyzing other geometric flows and other parametric finite element methods with artificial tangential motions to improve the mesh quality.

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平均曲率流参数有限元逼近分析的一种新方法
参数有限元方法在逼近各种不同几何流下的曲面演化方面取得了巨大成功,包括平均曲率流、Willmore流、曲面扩散等。然而,Dziuk的参数有限元法以及许多其他广泛使用的用于这些几何流的参数有限元方法的收敛性,保持开放。在这篇文章中,我们介绍了一种新的方法和相应的新框架,用于分析几何流下表面演化的参数有限元近似,通过估计从数值计算表面到精确表面的投影距离,而不是像目前可用的数值分析中那样估计两个表面的粒子轨迹之间的距离。新框架可以恢复几何流中一些隐藏的几何结构,例如平均曲率流中的完全(H^1\)抛物面,用于证明Dziuk参数有限元方法与三维空间中曲面的有限元的收敛性。本文介绍的新框架还为分析其他几何流和其他具有人工切向运动的参数有限元方法提供了一个基础数学工具,以提高网格质量。
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来源期刊
Foundations of Computational Mathematics
Foundations of Computational Mathematics 数学-计算机:理论方法
CiteScore
6.90
自引率
3.30%
发文量
46
审稿时长
>12 weeks
期刊介绍: Foundations of Computational Mathematics (FoCM) will publish research and survey papers of the highest quality which further the understanding of the connections between mathematics and computation. The journal aims to promote the exploration of all fundamental issues underlying the creative tension among mathematics, computer science and application areas unencumbered by any external criteria such as the pressure for applications. The journal will thus serve an increasingly important and applicable area of mathematics. The journal hopes to further the understanding of the deep relationships between mathematical theory: analysis, topology, geometry and algebra, and the computational processes as they are evolving in tandem with the modern computer. With its distinguished editorial board selecting papers of the highest quality and interest from the international community, FoCM hopes to influence both mathematics and computation. Relevance to applications will not constitute a requirement for the publication of articles. The journal does not accept code for review however authors who have code/data related to the submission should include a weblink to the repository where the data/code is stored.
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