Local times in critical generations of a random walk in random environment on trees
Alexis Kagan

TL;DR
This paper studies the local times of a null-recurrent biased random walk on Galton-Watson trees, showing convergence to a stable process and providing explicit hitting probabilities.
Contribution
It establishes the convergence of local times in critical generations to a stable continuous-state branching process and derives explicit hitting probability formulas.
Findings
Local times converge to a stable process in the critical regime
Explicit probability formulas for reaching critical generations
Analysis in the sub-diffusive regime of biased walks
Abstract
We consider a null-recurrent randomly biased walk on a Galton-Watson tree in the (sub)-diffusive regime and we prove that properly renormalized, the local time in a critical generation converges in law towards some function of a stable continuous-state branching process. We also provide an explicit equivalent of the probability that critical generations are reached by the random walk .
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
