Limiting velocity of high-dimensional random walk in random environment
Noam Berger

TL;DR
This paper proves that in high-dimensional uniformly elliptic i.i.d. environments, a random walk has at most one non-zero limiting velocity, confirming a law of large numbers and linking various conjectures.
Contribution
It establishes the uniqueness of the non-zero limiting velocity for high-dimensional random walks in random environments, advancing understanding of their asymptotic behavior.
Findings
At most one non-zero limiting velocity in dimensions ≥ 5
Law of large numbers proven in symmetric cases
Connections made between different conjectures in the field
Abstract
We show that random walk in uniformly elliptic i.i.d. environment in dimension has at most one non zero limiting velocity. In particular this proves a law of large numbers in the distributionally symmetric case and establishes connections between different conjectures.
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Markov Chains and Monte Carlo Methods
