LARGE DEVIATION PRINCIPLE FOR GEOMETRIC AND TOPOLOGICAL FUNCTIONALS AND ASSOCIATED POINT PROCESSES

被引:1
|
作者
Hirsch, Christian [1 ]
Owada, Takashi [2 ]
机构
[1] Aarhus Univ, Dept Math, Aarhus, Denmark
[2] Purdue Univ, Dept Stat, W Lafayette, IN USA
来源
ANNALS OF APPLIED PROBABILITY | 2023年 / 33卷 / 05期
关键词
Large deviation principle; point process; stochastic geometry; stochastic topology; per-sistent Betti number; Morse critical point; U-STATISTICS; LIMIT-THEOREMS; DISTANCE;
D O I
10.1214/22-AAP1914
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We prove a large deviation principle for the point process associated to k-element connected components in R-d with respect to the connectivity radii r(n)->infinity. The random points are generated from a homogeneous Poisson point process or the corresponding binomial point process, so that (r(n))(n >= 1) satisfies n(k)r(n)(d(k-1))n ->infinity and nr(n)(d) -> 0 as n -> infinity (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.
引用
收藏
页码:4008 / 4043
页数:36
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