不可压缩变分问题中的唯一性标准和正则性反例

M. Dengler, J. J. Bevan
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引用次数: 0

摘要

在本文中,我们考虑的问题是在\(u: B \rightarrow \mathbb {R}^2\) 的一类不可压缩的平面映射中最小化形式为\(E(u)=\int _B f(x,\nabla u) \,dx\)的函数。这里,B是单位盘,并且(f(x,\xi )\)在\(\xi \)中是二次且凸的。研究表明,如果 u 是 E 的一个静止点,那么只要相应压力的梯度满足一个合适的微小性条件,u 就是 E(u) 的唯一全局最小点。我们应用这一结果构造了一个非自治、均匀凸函数\(f(x,\xi )\),它平稳地依赖于\(\xi \),但不连续地依赖于x,其唯一的全局最小化是所谓的\(N-\)覆盖图,它是Lipschitz的,但不是\(C^1\)。
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A uniqueness criterion and a counterexample to regularity in an incompressible variational problem

In this paper we consider the problem of minimizing functionals of the form \(E(u)=\int _B f(x,\nabla u) \,dx\) in a suitably prepared class of incompressible, planar maps \(u: B \rightarrow \mathbb {R}^2\). Here, B is the unit disk and \(f(x,\xi )\) is quadratic and convex in \(\xi \). It is shown that if u is a stationary point of E in a sense that is made clear in the paper, then u is a unique global minimizer of E(u) provided the gradient of the corresponding pressure satisfies a suitable smallness condition. We apply this result to construct a non-autonomous, uniformly convex functional \(f(x,\xi )\), depending smoothly on \(\xi \) but discontinuously on x, whose unique global minimizer is the so-called \(N-\)covering map, which is Lipschitz but not \(C^1\).

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