The β-Delaunay tessellation III: Kendall’s problem and limit theorems in high dimensions

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Alea-Latin American Journal of Probability and Mathematical Statistics Pub Date : 2021-04-15 DOI:10.30757/ALEA.v19-02
A. Gusakova, Z. Kabluchko, Christoph Thale
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引用次数: 1

Abstract

The $\beta$-Delaunay tessellation in $\mathbb{R}^{d-1}$ is a generalization of the classical Poisson-Delaunay tessellation. As a first result of this paper we show that the shape of a weighted typical cell of a $\beta$-Delaunay tessellation, conditioned on having large volume, is close to the shape of a regular simplex in $\mathbb{R}^{d-1}$. This generalizes earlier results of Hug and Schneider about the typical (non-weighted) Poisson-Delaunay simplex. Second, the asymptotic behaviour of the volume of weighted typical cells in high-dimensional $\beta$-Delaunay tessellation is analysed, as $d\to\infty$. In particular, various high dimensional limit theorems, such as quantitative central limit theorems as well as moderate and large deviation principles, are derived.
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β-Delaunay镶嵌Ⅲ:高维上的Kendall问题和极限定理
$\mathbb{R}^{d-1}$中的$\beta$-Delaunay镶嵌是经典Poisson-Delaunay镶嵌的推广。作为本文的第一个结果,我们证明了$\beta$-Delaunay镶嵌的加权典型单元的形状,在具有大体积的条件下,接近$\mathbb{R}^{d-1}$中的正则单纯形的形状。这推广了Hug和Schneider关于典型(非加权)Poisson-Delaunay单纯形的早期结果。其次,分析了高维$\beta$-Delaunay镶嵌中加权典型单元体积的渐近行为,如$d\to\infty$。特别是,导出了各种高维极限定理,如定量中心极限定理以及中偏差和大偏差原理。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
48
期刊介绍: ALEA publishes research articles in probability theory, stochastic processes, mathematical statistics, and their applications. It publishes also review articles of subjects which developed considerably in recent years. All articles submitted go through a rigorous refereeing process by peers and are published immediately after accepted. ALEA is an electronic journal of the Latin-american probability and statistical community which provides open access to all of its content and uses only free programs. Authors are allowed to deposit their published article into their institutional repository, freely and with no embargo, as long as they acknowledge the source of the paper. ALEA is affiliated with the Institute of Mathematical Statistics.
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