Once-reinforced random walk in high dimensions
Dor Elboim, Gady Kozma
TL;DR
This work analyzes the once-reinforced random walk (ORRW) on $\mathbb{Z}^d$ for $d\ge6$, proving transience when the reinforcement is small and showing a diffusive scaling limit via a coupling to Brownian motion. The authors develop a robust multiscale induction built on many relaxed times, a capacity-based control of the walk's history, and a demon mechanism that induces approximate independence between spatial blocks. The key technical advances are a capacity-to-volume estimate in high dimensions, a demon-driven supermartingale framework, and a concatenation/KMT-type coupling that yields a central limit-type behavior. The results illuminate high-dimensional self-interacting walks and establish a flexible toolkit potentially applicable to other self-interacting models and related diffusion limits. Altogether, the paper makes rigorous progress on Sidoravicius' conjecture by confirming the transient, diffusive regime in $d\ge6$ for small reinforcement and linking the dynamics to Brownian motion.
Abstract
We study the once-reinforced random walk on $\mathbb Z^d$, which is a self-interacting walk that has a higher probability to cross edges that were already visited. We prove that the walk is transient when $d\ge 6$ and when the reinforcement is small, establishing a conjecture of Sidoravicius in these dimensions. Moreover, in this case we prove that the walk behaves diffusively and can be coupled with Brownian motion. One of the main ideas in the proof is a certain capacity estimate which shows that the trajectory of the walk is nowhere heavy. We also use a game-theoretic-type ingredient that we call ``the demon" to force spatial independence in the process.
