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arXiv 2102.09513math.PR
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分支布朗运动的加细大偏差原理

Refined Large Deviation Principle for Branching Brownian Motion Conditioned to Have a Low Maximum

Yanjia Bai, Lisa Hartung

摘要:

将分支布朗运动调节为具有低的最大值导致分支机制的抑制。本文考虑一个分支布朗运动,其最大值小于$\sqrt{2}αt$($α<1$).在此条件下,我们研究了早/晚的第一分支时间和低/高的第一分支位置的精确影响。我们通过对第一个分支的时间和位置施加额外的约束来做到这一点。我们得到了大偏差估计,以及最佳的第一个分支的时间和位置给定的额外的约束。

英文摘要:

Conditioning a branching Brownian motion to have an atypically low maximum leads to a suppression of the branching mechanism. In this note, we consider a branching Brownian motion conditioned to have a maximum below $\sqrt{2}αt$ ($α<1$). We study the precise effects of an early/late first branching time and a low/high first branching location under this condition. We do so by imposing additional constraints on the first branching time and location. We obtain large deviation estimates, as well as the optimal first branching time and location given the additional constraints.

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