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首页> 外文期刊>Stochastic Processes and Their Applications: An Official Journal of the Bernoulli Society for Mathematical Statistics and Probability >Lower deviations of branching processes in random environment with geometrical offspring distributions
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Lower deviations of branching processes in random environment with geometrical offspring distributions

机译:具有几何后代分布的随机环境中分支过程的较低偏差

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摘要

We consider the branching processes in random environment. In this paper, we deal with the case of environments which are chosen stationary and ergodic from the finite set of geometrical offspring distributions. We denote by ~(Zn) the population at the n-th generation. We show that the large deviation principle holds with a certain rate function for the total population when the environment satisfies some conditions. Also, we will show that the trajectory t→log~(Znt),t∈[0,1] converges to a deterministic function uniformly in probability conditioned on {0<~(Zn)≤ ~(ecn)}.
机译:我们考虑随机环境中的分支过程。在本文中,我们处理从几何后代分布的有限集合中选择固定和遍历的环境的情况。我们用〜(Zn)表示第n代的人口。我们表明,当环境满足某些条件时,大偏差原理对总人口具有一定的比率函数。同样,我们将证明轨迹t→log〜(Znt)/ n,t∈[0,1]均以{0 <〜(Zn)≤〜(ecn)}为条件的概率收敛于确定性函数。

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