Law of large numbers for ballistic random walks in dynamic random environments under lateral decoupling
Weberson S. Arcanjo, Rangel Baldasso, Marcelo R. Hil\'ario, Renato S., dos Santos

TL;DR
This paper proves a strong law of large numbers for ballistic random walks in certain dynamic environments, showing that the walk's position converges linearly over time under specific decoupling conditions.
Contribution
It introduces a novel approach to establish the law of large numbers for random walks in dynamic environments with space-time correlations, under decoupling assumptions.
Findings
Law of large numbers holds for walks with speed exceeding environment dependence bounds
Applicable to environments with strong space-time correlations like zero-range and exclusion processes
Provides a framework for analyzing ballistic behavior in complex dynamic environments
Abstract
We establish a strong law of large numbers for one-dimensional continuous-time random walks in dynamic random environments under two main assumptions: the environment is required to satisfy a decoupling inequality that can be interpreted as a bound on the speed of dependence propagation, while the random walk is assumed to move ballistically with a speed larger than this bound. Applications include environments with strong space-time correlations such as the zero-range process and the asymmetric exclusion process.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Markov Chains and Monte Carlo Methods
