Random walks on hyperbolic spaces: second order expansion of the rate function at the drift

Richard Aoun, P. Mathieu, Cagri Sert
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引用次数: 1

Abstract

Let $(X,d)$ be a geodesic Gromov-hyperbolic space, $o \in X$ a basepoint and $\mu$ a countably supported non-elementary probability measure on $\operatorname{Isom}(X)$. Denote by $z_n$ the random walk on $X$ driven by the probability measure $\mu$. Supposing that $\mu$ has finite exponential moment, we give a second-order Taylor expansion of the large deviation rate function of the sequence $\frac{1}{n}d(z_n,o)$ and show that the corresponding coefficient is expressed by the variance in the central limit theorem satisfied by the sequence $d(z_n,o)$. This provides a positive answer to a question raised in \cite{BMSS}. The proof relies on the study of the Laplace transform of $d(z_n,o)$ at the origin using a martingale decomposition first introduced by Benoist--Quint together with an exponential submartingale transform and large deviation estimates for the quadratic variation process of certain martingales.
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双曲空间上的随机漫步:在漂移处速率函数的二阶展开
设$(X,d)$为测地线格罗莫夫-双曲空间,$o \in X$为基点,$\mu$为$\operatorname{Isom}(X)$上的可数支持非初等概率测度。用$z_n$表示由概率测度$\mu$驱动的$X$上的随机游走。假设$\mu$具有有限的指数矩,我们给出了序列$\frac{1}{n}d(z_n,o)$的大偏差率函数的二阶泰勒展开式,并证明了相应的系数由序列$d(z_n,o)$所满足的中心极限定理中的方差表示。这为\cite{BMSS}中提出的问题提供了一个肯定的答案。该证明依赖于对原点处$d(z_n,o)$的拉普拉斯变换的研究,该变换使用了首先由Benoist—Quint引入的鞅分解,以及对某些鞅的二次变分过程的指数次鞅变换和大偏差估计。
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