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arXiv 2403.04725math.AP
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离散到连续的晶体曲率流

Discrete-to-continuum crystalline curvature flows

Antonin Chambolle, Daniele De Gennaro, Massimiliano Morini

AI总结:

针对晶体平均曲率流,本文提出一种基于新离散距离的完全离散隐式变分格式,以消除空间漂移与钉扎,并证明其在任意维度和广泛纯晶体各向异性下的严格收敛性。

摘要:

我们在此考虑平均曲率流隐式变分格式的一种完全离散变体,相关格式见[AlmTayWan,LucStu];其设定是,流由晶体表面张力控制,而该表面张力由离散网格上的成对相互作用能的极限定义。该算法基于一种相对于演化集合的新离散距离,可防止在类似离散框架中已被[MisiatsYip16,BraGelNov]指出的空间漂移和钉扎现象。我们给出了首个在任意维度、对任意初始集合以及对一大类纯晶体各向异性均成立的严格收敛结果;在该结果中,空间离散网格的尺度可以与时间步长同阶,甚至比时间步长更粗。

英文摘要:

We consider here a fully discrete variant of the implicit variational scheme for mean curvature flow [AlmTayWan,LucStu], in a setting where the flow is governed by a crystalline surface tension defined by the limit of pairwise interactions energy on the discrete grid. The algorithm is based on a new discrete distance from the evolving sets, which prevents the occurrence of the spatial drift and pinning phenomena identified in [MisiatsYip16,BraGelNov] in a similar discrete framework. We provide the first rigorous convergence result holding in any dimension, for any initial set and for a large class of purely crystalline anisotropies, in which the spatial discretization mesh can be of the same order or coarser than the time step.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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