论文标题
随机多型的角度总和
Angle sums of random polytopes
论文作者
论文摘要
对于两个随机多面体的家族,我们明确计算圆锥固有体积的预期总和,而格拉曼的角度在所有给定的层面上的任何面部的所有面都考虑到了。作为特殊情况,我们计算任何固定尺寸的所有面上的内部和外部角度的预期总和。第一个家庭是定义为I.I.D.的凸壳的高斯多面体。来自$ \ Mathbb r^d $中的非脱位高斯分布的样品。第二个家庭是随机步行的凸面,具有可交换的增量,满足某些轻度的一般位置假设。预期的总和分别以常规简单和斯特林数的角度表示。这两个设置之间存在非平凡的类比。此外,我们计算了任意多面体集的高斯投影的角度总和,其中高斯多型是一种特殊情况。另外,我们表明,在仿射转换下,随机多型的预期格拉曼角总和是不变的。独立感兴趣的可能也可能是多面体集合线性图像的面部的结果。这些结果是众所周知的,但似乎在现有文献中找不到详细的证据。
For two families of random polytopes we compute explicitly the expected sums of the conic intrinsic volumes and the Grassmann angles at all faces of any given dimension of the polytope under consideration. As special cases, we compute the expected sums of internal and external angles at all faces of any fixed dimension. The first family are the Gaussian polytopes defined as convex hulls of i.i.d. samples from a non-degenerate Gaussian distribution in $\mathbb R^d$. The second family are convex hulls of random walks with exchangeable increments satisfying certain mild general position assumption. The expected sums are expressed in terms of the angles of the regular simplices and the Stirling numbers, respectively. There are non-trivial analogies between these two settings. Further, we compute the angle sums for Gaussian projections of arbitrary polyhedral sets, of which the Gaussian polytopes are a special case. Also, we show that the expected Grassmann angle sums of a random polytope with a rotationally invariant law are invariant under affine transformations. Of independent interest may be also results on the faces of linear images of polyhedral sets. These results are well known but it seems that no detailed proofs can be found in the existing literature.