arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1407.7623math.PR
收藏

随机环境下的分支随机游动

Branching random walk with a random environment in time

Chunmao Huang, Quansheng Liu

摘要:

我们考虑$\mathbb{R}$上的分支随机游动,其中环境$ξ=(ξ_n)$是按时间$n\in\mathbb{N}$索引的平稳遍历的。令$Z_n$为$n$代粒子的计数量度。对于相应的分支过程$\{Z_n(\mathbb{R})\}$ $ (n\in\mathbb{N})$是超临界的情形,我们建立了计数测度序列$\{Z_n\}$的大偏差原理、中心极限定理和局部极限定理,并证明了位置$R_n$(分别为. $L_n$)的最右侧(相应最左边的)粒子满足大数定律。

英文摘要:

We consider a branching random walk on $\mathbb{R}$ with a stationary and ergodic environment $ξ=(ξ_n)$ indexed by time $n\in\mathbb{N}$. Let $Z_n$ be the counting measure of particles of generation $n$. For the case where the corresponding branching process $\{Z_n(\mathbb{R})\}$ $ (n\in\mathbb{N})$ is supercritical, we establish large deviation principles, central limit theorems and a local limit theorem for the sequence of counting measures $\{Z_n\}$, and prove that the position $R_n$ (resp. $L_n$) of rightmost (resp. leftmost) particles of generation $n$ satisfies a law of large numbers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑