Once-excited random walks on general trees
Duy-Bao Le, Tuan-Minh Nguyen

TL;DR
This paper investigates once-excited random walks on general trees with random biases, establishing a phase transition between recurrence and transience based on the tree's branching-ruin number.
Contribution
It introduces a model of excited random walks with random environments on general trees and characterizes the phase transition using the branching-ruin number.
Findings
Identifies a sharp phase transition between recurrence and transience.
Determines the critical threshold based on the branching-ruin number.
Analyzes the behavior on trees with polynomial growth.
Abstract
We study once-excited random walks on general trees, modeled by placing a single "cookie" at each vertex. Each cookie acts as a metaphorical reward that is consumed upon the first visit to the vertex where the cookie is placed. On that initial visit, the walk is in an excited state and behaves like a biased random walk. Once the cookie is consumed, the process reverts to a symmetric random walk on all subsequent visits. We consider a random environment in which the bias parameters are independent random variables. We prove that the process exhibits a sharp phase transition between transience and recurrence on general trees with polynomial growth, where the critical threshold is determined by the branching-ruin number of the tree.
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.
