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相关论文: Angles of the Gaussian simplex

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Consider a random $d$-dimensional simplex whose vertices are $d+1$ random points sampled independently and uniformly from the unit sphere in $\mathbb R^d$. We show that the expected sum of solid angles at the vertices of this random simplex…

概率论 · 数学 2019-05-07 Zakhar Kabluchko

Pick $d+1$ points uniformly at random on the unit sphere in $\mathbb R^d$. What is the expected value of the angle sum of the simplex spanned by these points? Choose $n$ points uniformly at random in the $d$-dimensional ball. What is the…

概率论 · 数学 2020-03-04 Zakhar Kabluchko

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…

概率论 · 数学 2020-07-16 Thomas Godland , Zakhar Kabluchko , Dmitry Zaporozhets

Let $M$ be an arbitrary subset in $\mathbb R^n$ with a conic (or positive) hull $C$. Consider its Gaussian image $AM$, where $A$ is a $k\times n$-matrix whose entries are independent standard Gaussian random variables. We show that the…

概率论 · 数学 2020-02-03 Friedrich Götze , Zakhar Kabluchko , Dmitry Zaporozhets

A $d$-dimensional simplex in Euclidean space is called orthocentric if all of its altitudes intersect at a single point, referred to as the orthocenter. We explicitly compute the internal and external angles at all faces of an orthocentric…

度量几何 · 数学 2025-05-09 Zakhar Kabluchko , Philipp Schange

We use a probabilistic interpretation of solid angles to generalize the well-known fact that the inner angles of a triangle sum to 180 degrees. For the 3-dimensional case, we show that the sum of the solid inner vertex angles of a…

度量几何 · 数学 2008-09-23 David V. Feldman , Daniel A. Klain

The study of "random segments" is a classic issue in geometrical probability, whose complexity depends on how it is defined. But in apparently simple models, the random behavior is not immediate. In the present manuscript the following…

概率论 · 数学 2023-09-07 Paulo Manrique-Mirón

It has been known that the distribution of the random distances between two uniformly distributed points within a convex polygon can be obtained based on its chord length distribution (CLD). In this report, we first verify the existing…

综合数学 · 数学 2013-12-10 Fei Tong , Maryam Ahmadi , Jianping Pan

The formula for the dihedral angle of the simplex of n dimensions, arccos(1/n), is derived using classical geometry.

历史与综述 · 数学 2016-07-22 Raffaele Salvia

Consider $d+2$ i.i.d. random points $X_1,\ldots, X_{d+2}$ in $\mathbb R^d$. In this note, we compute the probability that their convex hull is a simplex focusing on three specific distributional settings: (i) the distribution of $X_1$ is…

概率论 · 数学 2025-06-03 Anna Gusakova , Zakhar Kabluchko

We derive explicit formulae for the expected volume and the expected number of facets of the convex hull of several multidimensional Gaussian random walks in terms of the Gaussian persistence probabilities. Special cases include the already…

概率论 · 数学 2020-12-25 Julien Randon-Furling , Dmitry Zaporozhets

We consider the set of points chosen randomly, independently and uniformly in the $d$-dimensional spherical layer. A set of points is called $1$-convex if all its points are vertices of the convex hull of this set. In \cite{3} an estimate…

组合数学 · 数学 2018-06-14 Sergey Sidorov

The Gaussian polytope $\mathcal P_{n,d}$ is the convex hull of $n$ independent standard normally distributed points in $\mathbb R^d$. We derive explicit expressions for the probability that $\mathcal P_{n,d}$ contains a fixed point…

概率论 · 数学 2019-12-30 Zakhar Kabluchko , Dmitry Zaporozhets

We prove the four-dimensional Gaussian random vector maximum conjecture. This conjecture asserts that among all centered Gaussian random vectors $X=(X_1,X_2,X_3,X_4)$ with $E[X_i^2]=1$, $1\le i\le 4$, the expectation…

概率论 · 数学 2020-08-18 Wei Sun , Ze-Chun Hu , Guolie Lan

This note demonstrates that it is possible to bound the expectation of an arbitrary norm of a random matrix drawn from the Stiefel manifold in terms of the expected norm of a standard Gaussian matrix with the same dimensions. A related…

概率论 · 数学 2014-04-29 Joel A. Tropp

The projected normal distribution, also known as the angular Gaussian distribution, is obtained by dividing a multivariate normal random variable $\mathbf{x}$ by its norm $\sqrt{\mathbf{x}^T \mathbf{x}}$. The resulting random variable…

统计方法学 · 统计学 2025-06-24 Daniel Herrera-Esposito , Johannes Burge

Consider a stationary Poisson point process in $\mathbb{R}^d$ and connect any two points whenever their distance is less than or equal to a prescribed distance parameter. This construction gives rise to the well known random geometric…

概率论 · 数学 2017-01-04 Jens Grygierek , Christoph Thaele

Given independent normally distributed points A,B,C,D in Euclidean 3-space, let Q denote the plane determined by A,B,C and D^ denote the orthogonal projection of D onto Q. The probability that the tetrahedron ABCD is acute remains…

概率论 · 数学 2022-03-22 Steven Finch

Consider a random simplex $[X_1,\ldots,X_n]$ defined as the convex hull of independent identically distributed random points $X_1,\ldots,X_n$ in $\mathbb{R}^{n-1}$ with the following beta density: $$ f_{n-1,\beta} (x) \propto…

概率论 · 数学 2020-07-14 Zakhar Kabluchko

An expression for the joint probability distribution of the principal curvatures at an arbitrary point in the ensemble of isosurfaces defined on isotropic Gaussian random fields on Rn is derived. The result is obtained by deriving symmetry…

数学物理 · 物理学 2007-05-23 Paulo R. S. Mendonca , Rahul Bhotika , James V. Miller
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