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arXiv math/9811042math.APmath.CA
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最小梯度函数的障碍问题

The Obstacle Problem for Functions of Least Gradient

William P. Ziemer, Kevin Zumbrun

摘要:

对于给定的区域$Ω\subset \Bbb{R}^n$,考虑函数$u$在$Ω$上的梯度的$L^1$ -范数最小化的变分问题,该函数具有给定的连续边值,且满足$Ω$内部的连续下障碍条件$u\ge Ψ$.在边界$\partialΩ$的中曲率严格为正的假设下,证明了该问题的连续解的存在性,其Hölder指数为数据和障碍物的Hölder指数的一半.这推广了以前的无约束和双障碍问题的结果。在本分析的主要新特点是需要扩展各种最大值原理的情况下,两个面积最小化集的情况下,一个子和一个superminimizing集。这是我们在其中一个集合上的弱正则性假设下完成的,足以进行分析。有趣的开放性问题包括解的唯一性和面积超极小集的正则性的完整分析。我们提供了一些初步的结果,在后一个方向,即一个新的单调性原则superminimizing集,并存在的“泡沫”superminimizers在两个维度。

英文摘要:

For a given domain $Ω\subset \Bbb{R}^n$, we consider the variational problem of minimizing the $L^1$-norm of the gradient on $Ω$ of a function $u$ with prescribed continuous boundary values and satisfying a continuous lower obstacle condition $u\ge Ψ$ inside $Ω$. Under the assumption of strictly positive mean curvature of the boundary $\partialΩ$, we show existence of a continuous solution, with Hölder exponent half of that of data and obstacle. This generalizes previous results obtained for the unconstrained and double-obstacle problems. The main new feature in the present analysis is the need to extend various maximum principles from the case of two area-minimizing sets to the case of one sub- and one superminimizing set. This we accomplish subject to a weak regularity assumption on one of the sets, sufficient to carry out the analysis. Interesting open questions include the uniqueness of solutions and a complete analysis of the regularity properties of area superminimizing sets. We provide some preliminary results in the latter direction, namely a new monotonicity principle for superminimizing sets, and the existence of ``foamy'' superminimizers in two dimensions.

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