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arXiv 1406.4174math.DS
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Gibbs-Markov过程局部时的弱不变原理

Weak invariance principle for the local times of Gibbs-Markov processes

Michael Bromberg

摘要:

证明了吉布斯-马尔可夫映射生成过程局部时的一个泛函弱不变原理。更准确地说,假设$\left(X,\mathcal{B},m,T,α\right)$是一个混合的概率保持吉布斯-马尔可夫{ \normalsize{}。并且令$φ\in L^{2}\left(m\right)$是具有平均$0$的非周期函数。设置$S_{n}=\sum_{k=0}^{n}X_{k}$并将命中时间过程$L_{n}\left(x\right)$定义为$S_{k}$命中$x\in\mathbb {Z}$直到步骤$n.$的次数。标准化本地时间过程$l_{n}\left(x\right)$由$ l_{n}\left(t\right)=\frac{L_{n}\left(\left\lfloor \sqrt{n}x\right\rfloor \right)}{\sqrt{n}},\,\, x\in\mathbb{R}$定义。证明了$l_{n}\left(x\right)$按分布收敛于布朗运动的局部时.证明也适用于更经典的设置当地时间来自一个子移位有限型赋予吉布斯措施。

英文摘要:

The subject of this paper is to prove a functional weak invariance principle for the local time of a process generated by a Gibbs-Markov map. More precisely, let $\left(X,\mathcal{B},m,T,α\right)$ is a mixing, probability preserving Gibbs-Markov{\normalsize{}. and let $φ\in L^{2}\left(m\right)$ be an aperiodic function with mean $0$. Set $S_{n}=\sum_{k=0}^{n}X_{k}$ and define the hitting time process $L_{n}\left(x\right)$ be the number of times $S_{k}$ hits $x\in\mathbb {Z}$ up to step $n.$ The normalized local time process $l_{n}\left(x\right)$ is defined by $ l_{n}\left(t\right)=\frac{L_{n}\left(\left\lfloor \sqrt{n}x\right\rfloor \right)}{\sqrt{n}},\,\, x\in\mathbb{R}$. We prove under that $l_{n}\left(x\right)$ converges in distribution to the local time of the Brownian Motion. The proof also applies to the more classical setting of local times derived from a subshift of finite type endowed with a Gibbs measure.

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