A Hopf–Lax formula for the time evolution of the level-set equation and a new approach to shape sensitivity analysis

IF 1.2 4区 数学 Q1 MATHEMATICS
Daniel Kraft
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引用次数: 4

Abstract

The level-set method is used in many dierent applications to describe the propagation of shapes and domains. When scalar speed elds are used to encode the desired shape evolution, this leads to the classical level-set equation. We present a concise Hopf-Lax representation formula that can be used to characterise the evolved domains at arbitrary times. This result is also applicable for the case of speed elds without a xed sign, even though the level-set equation has a non-convex Hamiltonian in these situations. The representation formula is based on the same idea that underpins the FastMarching Method, and it provides a strong theoretical justication for a generalised Composite Fast-Marching method. Based on our Hopf-Lax formula, we are also able to present new theoretical results. In particular, we show non-fattening of the zero level-set in a measure-theoretic sense, derive a very general shape sensitivity calculus that does not require the usual regularity assumptions on the domains, prove optimal Lipschitz constants for the evolved level-set function and discuss the eect of perturbations in both the speed eld and the initial geometry.
水平集方程时间演化的Hopf-Lax公式和形状灵敏度分析的新方法
水平集方法在许多不同的应用中用于描述形状和域的传播。当使用标量速度字段对期望的形状演化进行编码时,这将导致经典的水平集方程。我们提出了一个简明的Hopf-Lax表示公式,可以用来描述任意时间的演化域。这个结果也适用于没有加符号的速度场,即使在这些情况下水平集方程具有非凸哈密顿量。表示公式基于支撑快速行进方法的相同思想,它为广义复合快速行进方法提供了强有力的理论依据。基于我们的Hopf-Lax公式,我们也能够提出新的理论结果。特别地,我们展示了零水平集在测量理论意义上的非增肥性,推导了一种非常一般的形状灵敏度演算,它不需要通常的正则性假设,证明了进化水平集函数的最优Lipschitz常数,并讨论了扰动在速度场和初始几何中的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
17
审稿时长
>12 weeks
期刊介绍: Interfaces and Free Boundaries is dedicated to the mathematical modelling, analysis and computation of interfaces and free boundary problems in all areas where such phenomena are pertinent. The journal aims to be a forum where mathematical analysis, partial differential equations, modelling, scientific computing and the various applications which involve mathematical modelling meet. Submissions should, ideally, emphasize the combination of theory and application.
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