Law of large numbers for non-elliptic random walks in dynamic random environments
Frank den Hollander, Renato S. dos Santos, Vladas Sidoravicius

TL;DR
This paper establishes a law of large numbers for certain non-elliptic random walks in dynamic environments, using a generalized regeneration scheme under a mixing condition, with applications to specific one-dimensional cases.
Contribution
It extends the law of large numbers to non-elliptic dynamic random environments using a novel regeneration approach and mixing assumptions.
Findings
Law of large numbers proven for non-elliptic random walks
Sign of the speed determined in some one-dimensional cases
Applicable to a broad class of dynamic environments
Abstract
We prove a law of large numbers for a class of -valued random walks in dynamic random environments, including non-elliptic examples. We assume for the random environment a mixing property called \emph{conditional cone-mixing} and that the random walk tends to stay inside wide enough space-time cones. The proof is based on a generalization of a regeneration scheme developed by Comets and Zeitouni for static random environments and adapted by Avena, den Hollander and Redig to dynamic random environments. A number of one-dimensional examples are given. In some cases, the sign of the speed can be determined.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
