POISSON SPLITTING BY FACTORS
成果类型:
Article
署名作者:
Holroyd, Alexander E.; Lyons, Russell; Soo, Terry
署名单位:
Microsoft; Indiana University System; Indiana University Bloomington; University of Victoria
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/11-AOP651
发表日期:
2011
页码:
1938-1982
关键词:
matchings
entropy
trees
摘要:
Given a homogeneous Poisson process on R-d with intensity lambda, we prove that it is possible to partition the points into two sets, as a deterministic function of the process, and in an isometry-equivariant way, so that each set of points forms a homogeneous Poisson process, with any given pair of intensities summing to lambda. In particular, this answers a question of Ball [Electron. Commun. Probab. 10 (2005) 60-69], who proved that in d = 1, the Poisson points may be similarly partitioned (via a translation-equivariant function) so that one set forms a Poisson process of lower intensity, and asked whether the same is possible for all d. We do not know whether it is possible similarly to add points (again chosen as a deterministic function of a Poisson process) to obtain a Poisson process of higher intensity, but we prove that this is not possible under an additional finitariness condition.