网格上归一化二元接触路径过程占用时间的极限定理

IF 0.7 4区数学 Q3 STATISTICS & PROBABILITY

Journal of Applied Probability Pub Date : 2024-08-27 DOI:10.1017/jpr.2024.41

Xiaofeng Xue

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引用次数: 0

摘要

格里菲斯（Griffeath，1983 年）提出的二元接触路径过程（BCPP）描述了图上流行病的传播，是研究提高接触过程临界值上限的辅助模型。在本文中，我们关注的是归一化 BCPP（NBCPP）在网格上的占领时间的极限定理。我们首先证明，当晶格的维数至少为 3，且模型的感染率足够大时，NBCPP 的初始状态以特定的不变分布为条件，占领时间过程的大数定律由特征函数驱动。然后我们证明，当网格维数和模型感染率足够大，且 NBCPP 的初始状态分布为上述不变分布时，NBCPP 的居中占领时间过程在有限维分布中收敛于布朗运动。

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Limit theorems of occupation times of normalized binary contact path processes on lattices

The binary contact path process (BCPP) introduced in Griffeath (1983) describes the spread of an epidemic on a graph and is an auxiliary model in the study of improving upper bounds of the critical value of the contact process. In this paper, we are concerned with limit theorems of the occupation time of a normalized version of the BCPP (NBCPP) on a lattice. We first show that the law of large numbers of the occupation time process is driven by the identity function when the dimension of the lattice is at least 3 and the infection rate of the model is sufficiently large conditioned on the initial state of the NBCPP being distributed with a particular invariant distribution. Then we show that the centered occupation time process of the NBCPP converges in finite-dimensional distributions to a Brownian motion when the dimension of the lattice and the infection rate of the model are sufficiently large and the initial state of the NBCPP is distributed with the aforementioned invariant distribution.

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来源期刊

Journal of Applied Probability 数学-统计学与概率论

CiteScore

1.50

自引率

10.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Journal of Applied Probability is the oldest journal devoted to the publication of research in the field of applied probability. It is an international journal published by the Applied Probability Trust, and it serves as a companion publication to the Advances in Applied Probability. Its wide audience includes leading researchers across the entire spectrum of applied probability, including biosciences applications, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. A submission to Applied Probability represents a submission that may, at the Editor-in-Chief’s discretion, appear in either the Journal of Applied Probability or the Advances in Applied Probability. Typically, shorter papers appear in the Journal, with longer contributions appearing in the Advances.