二次方克罗夫顿和尽可能少看到自己的集合

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摘要

Abstract Let \(\Omega \subset \mathbb {R}^2\) and let \(\mathcal {L} \subset \Omega \) be a one-dimensional set with finite length \(L =|\mathcal {L}|\) .我们感兴趣的是一个能量函数的最小值,这个函数测量的是一个集合在所有方向上投影到自身的大小:因此,我们要求的是集合尽可能小地看到自身(适当地解释)。该函数的最小值显然是直线的子集,但这只有在 \(L \le \text{ diam }(\Omega )\) 时才有可能。这个问题有一个等价的表述:随机直线与 \(\mathcal {L}\)的预期交点数只取决于 \(\mathcal {L}\)的长度(克罗夫顿公式)。我们感兴趣的是\(\mathcal {L}\)集,它能使预期交点数的方差最小化。我们解决了凸(\ω \)和略小于所有 L 值一半的问题:在那里,最小化集合是边界副本和线段的结合。
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Quadratic Crofton and sets that see themselves as little as possible

Abstract

Let \(\Omega \subset \mathbb {R}^2\) and let \(\mathcal {L} \subset \Omega \) be a one-dimensional set with finite length \(L =|\mathcal {L}|\) . We are interested in minimizers of an energy functional that measures the size of a set projected onto itself in all directions: we are thus asking for sets that see themselves as little as possible (suitably interpreted). Obvious minimizers of the functional are subsets of a straight line but this is only possible for \(L \le \text{ diam }(\Omega )\) . The problem has an equivalent formulation: the expected number of intersections between a random line and \(\mathcal {L}\) depends only on the length of \(\mathcal {L}\) (Crofton’s formula). We are interested in sets \(\mathcal {L}\) that minimize the variance of the expected number of intersections. We solve the problem for convex \(\Omega \) and slightly less than half of all values of L: there, a minimizing set is the union of copies of the boundary and a line segment.

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