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arXiv 1809.07547math.PR
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一维重整化布朗运动的准平稳性

Quasi-stationarity for one-dimensional renormalized Brownian motion

William Oçafrain

摘要:

本文研究了非时齐马尔可夫过程Xt = Bt(t + 1)$κ$的拟平稳性,其中(Bt)$\ge$ 0是一维布朗运动,$\in$(0,$\infty$).首先证明了当t趋于无穷大时,当$κ$ > 1 ~ 2时,X t条件不从(--1,1)出发直到时间t才弱收敛于Dirac测度$δ$ 0.然后我们证明,当$κ$ = 1 2时,该条件概率弱收敛于Ornstein-Uhlenbeck过程的准平稳分布。当$κ$ < 1 2时,条件概率收敛于布朗运动的准平稳分布.证明了当$κ$ = 1 2和$κ$ < 1 2时,Q过程和拟遍历分布的存在性.

英文摘要:

We are interested in the quasi-stationarity of the time-inhomogeneous Markov process X t = B t (t + 1) $κ$ where (B t) t$\ge$0 is a one-dimensional Brownian motion and $κ$ $\in$ (0, $\infty$). We first show that the law of X t conditioned not to go out from (--1, 1) until the time t converges weakly towards the Dirac measure $δ$ 0 when $κ$ > 1 2 as t goes to infinity. Then we show that this conditioned probability converges weakly towards the quasi-stationary distribution of an Ornstein-Uhlenbeck process when $κ$ = 1 2. Finally, when $κ$ < 1 2 , it is shown that the conditioned probability converges towards the quasi-stationary distribution of a Brownian motion. We also prove the existence of a Q-process and a quasi-ergodic distribution for $κ$ = 1 2 and $κ$ < 1 2 .

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。

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