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arXiv 2104.13261math.PR
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镇定和Palm耦合下的泊松过程逼近

Poisson process approximation under stabilization and Palm coupling

Omer Bobrowski, Matthias Schulte, D. Yogeshwaran

摘要:

给出了Poisson过程和二项式点过程的稳定泛函的新的泊松过程逼近结果。这些泛函被允许有一个无限的相互作用范围,并涵盖了随机几何中的许多例子。我们的界限推导出的Kantorovich-Rubinstein距离使用生成器的方法斯坦的方法。对于不同的点过程,我们给出了不同类型的界。虽然我们的一些界限是根据点过程与其Palm版本的耦合给出的,但其他界限是根据通过稳定化概念形式化的局部依赖结构给出的。我们提供了两个支持我们的新框架的例子-一个是莫尔斯临界点的距离函数,另一个是大k-近邻球。我们的边界大大扩展了Bartheland和Brown(1992),Decreusefond,Schulte和Thale(2016)和Otto(2020)的结果。

英文摘要:

We present new Poisson process approximation results for stabilizing functionals of Poisson and binomial point processes. These functionals are allowed to have an unbounded range of interaction and encompass many examples in stochastic geometry. Our bounds are derived for the Kantorovich-Rubinstein distance using the generator approach to Stein's method. We give different types of bounds for different point processes. While some of our bounds are given in terms of coupling of the point process with its Palm version, the others are in terms of the local dependence structure formalized via the notion of stabilization. We provide two supporting examples for our new framework - one is for Morse critical points of the distance function, and the other is for large k-nearest neighbor balls. Our bounds considerably extend the results in Barbour and Brown (1992), Decreusefond, Schulte and Thale (2016) and Otto (2020).

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