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The random average process and random walk in a space-time random environment in one dimension

机译:一维时空随机环境中的随机平均过程和随机游动

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We study space-time fluctuations around a characteristic line for a one-dimensional interacting system known as the random average process. The state of this system is a real-valued function on the integers. New values of the function are created by averaging previous values with random weights. The fluctuations analyzed occur on the scale n(1/4), where n is the ratio of macroscopic and microscopic scales in the system. The limits of the fluctuations are described by a family of Gaussian processes. In cases of known product-form invariant distributions, this limit is a two-parameter process whose time marginals are fractional Brownian motions with Hurst parameter 1/4. Along the way we study the limits of quenched mean processes for a random walk in a space-time random environment. These limits also happen at scale n(1/4) and are described by certain Gaussian processes that we identify. In particular, when we look at a backward quenched mean process, the limit process is the solution of a stochastic heat equation.
机译:我们研究一维相互作用系统(称为随机平均过程)的特征线周围的时空波动。该系统的状态是整数的实值函数。通过使用随机权重对以前的值求平均值来创建函数的新值。分析的波动发生在尺度n(1/4)上,其中n是系统中宏观尺度与微观尺度的比率。波动的极限由一系列高斯过程来描述。在已知产品形式不变分布的情况下,此极限是一个两参数过程,其时间边际是分数的布朗运动,其Hurst参数为1/4。在此过程中,我们研究了时空随机环境中随机游走的淬灭平均过程的极限。这些限制也发生在标度n(1/4)上,并由我们确定的某些高斯过程描述。特别是,当我们查看向后淬火的均值过程时,极限过程是随机热方程的解。

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