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A Class of Random Walks in Reversible Dynamic Environments: Antisymmetry and Applications to the East Model

机译:可逆动态环境中的一类随机游动:反对称性及其在东方模型中的应用

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摘要

We introduce via perturbation a class of random walks in reversible dynamic environments having a spectral gap. In this setting one can apply the mathematical results derived in Avena et al. (-Perturbed Markov processes and applications to random walks in dynamic random environments, Preprint, 2016). As first results, we show that the asymptotic velocity is antisymmetric in the perturbative parameter and, for a subclass of random walks, we characterize the velocity and a stationary distribution of the environment seen from the walker as suitable series in the perturbative parameter. We then consider as a special case a random walk on the East model that tends to follow dynamical interfaces between empty and occupied regions. We study the asymptotic velocity and density profile for the environment seen from the walker. In particular, we determine the sign of the velocity when the density of the underlying East process is not 1 / 2, and we discuss the appearance of a drift in the balanced setting given by density 1 / 2.
机译:我们通过摄动介绍了在具有光谱间隙的可逆动态环境中的一类随机游动。在这种情况下,可以应用Avena等人得出的数学结果。 (-扰动马尔可夫过程及其在动态随机环境中应用于随机游走,Preprint,2016)。作为第一个结果,我们证明了在微扰参数中渐近速度是反对称的,对于随机游动的子类,我们将从步行者看到的速度和环境的平稳分布表征为微扰参数中的合适序列。然后,在特殊情况下,我们考虑对East模型进行随机游动,这种游动倾向于遵循空旷区域和占领区域之间的动态界面。我们研究了从步行者看到的环境的渐近速度和密度分布。特别是,当基础East过程的密度不为1/2时,我们确定速度的符号,并讨论由密度1/2给出的平衡设置中的漂移现象。

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