Large deviations for random walks in random environment on a Galton-Watson tree
Elie Aidekon (PMA)

TL;DR
This paper establishes a large deviation principle for the hitting times of a random walk in a random environment on a Galton-Watson tree, analyzing both quenched and annealed cases and exploring polynomial regimes in subexponential scenarios.
Contribution
It introduces the first large deviation principles for hitting times in this setting and investigates polynomial regimes in subexponential cases, extending previous one-dimensional results.
Findings
Large deviation principles for u and annealed hitting times
Identification of polynomial regimes in subexponential cases
Dependence on tail distribution of first regeneration time
Abstract
Consider a random walk in random environment on a supercritical Galton--Watson tree, and let be the hitting time of generation . The paper presents a large deviation principle for , both in quenched and annealed cases. Then we investigate the subexponential situation, revealing a polynomial regime similar to the one encountered in one dimension. The paper heavily relies on estimates on the tail distribution of the first regeneration time.
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 · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
