Weak laws of large numbers in geometric probability
成果类型:
Article
署名作者:
Penrose, MD; Yukich, JE
署名单位:
Durham University; Lehigh University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
2003
页码:
277-303
关键词:
minimal spanning-trees
random points
Computational geometry
graphs
asymptotics
limit
摘要:
Using a coupling argument, we establish a general weak law of large numbers for functionals of binomial point processes in d-dimensional space, with a limit that depends explicitly on the (possibly nonuniform) density of the point process. The general result is applied to the minimal spanning tree, the k-nearest neighbors graph, the Voronoi graph and the sphere of influence graph. Functionals of interest include total edge length with arbitrary weighting, number of vertices of specified degree and number of components. We also obtain weak laws of large numbers for functionals of marked point processes, including statistics of Boolean models.