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Decorrelation of a class of Gibbs particle processes and asymptotic properties of U-statistics
Journal of Applied Probability ( IF 0.7 ) Pub Date : 2020-09-04 , DOI: 10.1017/jpr.2020.51
Viktor Beneš , Christoph Hofer-Temmel , Günter Last , Jakub Večeřa

We study a stationary Gibbs particle process with deterministically bounded particles on Euclidean space defined in terms of an activity parameter and non-negative interaction potentials of finite range. Using disagreement percolation, we prove exponential decay of the correlation functions, provided a dominating Boolean model is subcritical. We also prove this property for the weighted moments of a U-statistic of the process. Under the assumption of a suitable lower bound on the variance, this implies a central limit theorem for such U-statistics of the Gibbs particle process. A by-product of our approach is a new uniqueness result for Gibbs particle processes.

中文翻译:

一类吉布斯粒子过程的去相关与U统计量的渐近性质

我们研究了一个静止的吉布斯粒子过程,在欧几里得空间上具有确定性有界粒子,根据活动参数和有限范围的非负相互作用势定义。使用分歧渗透,我们证明了相关函数的指数衰减,前提是主导布尔模型是次临界的。我们还为 a 的加权矩证明了这个性质ü-过程统计。在方差合适的下限的假设下,这意味着这样的中心极限定理ü-吉布斯粒子过程的统计量。我们方法的一个副产品是吉布斯粒子过程的一个新的唯一性结果。
更新日期:2020-09-04
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