Large deviation principle for geometric and topological functionals and associated point processes

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
Christian Hirsch, Takashi Owada
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引用次数: 5

Abstract

We prove a large deviation principle for the point process associated to k-element connected components in Rd with respect to the connectivity radii rn→∞. The random points are generated from a homogeneous Poisson point process or the corresponding binomial point process, so that (rn)n≥1 satisfies nkrnd(k−1)→∞ and nrnd→0 as n→∞ (i.e., sparse regime). The rate function for the obtained large deviation principle can be represented as relative entropy. As an application, we deduce large deviation principles for various functionals and point processes appearing in stochastic geometry and topology. As concrete examples of topological invariants, we consider persistent Betti numbers of geometric complexes and the number of Morse critical points of the min-type distance function.
几何和拓扑泛函及相关点过程的大偏差原理
在连通性半径rn→∞的条件下,证明了与Rd中k元连通分量相关的点过程的一个大偏差原理。随机点由齐次泊松点过程或相应的二项点过程生成,使得(rn)n≥1满足nkrnd(k−1)→∞,nrnd→0满足n→∞(即稀疏区)。得到的大偏差原理的速率函数可以表示为相对熵。作为应用,我们推导了随机几何和拓扑中出现的各种泛函和点过程的大偏差原理。作为拓扑不变量的具体例子,我们考虑了几何复合体的持久Betti数和最小型距离函数的Morse临界点数。
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来源期刊
Annals of Applied Probability
Annals of Applied Probability 数学-统计学与概率论
CiteScore
2.70
自引率
5.60%
发文量
108
审稿时长
6-12 weeks
期刊介绍: The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.
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