Favorite sites for simple random walk in two and more dimensions
Chenxu Hao, Xinyi Li, Izumi Okada, Yushu Zheng
TL;DR
This work resolves the long-standing question of how many favorite sites a simple random walk on ${\mathbb Z}^d$ can realize over time. It proves that in dimension $2$ three favorite sites occur infinitely often while four never do, and for $d\ge3$ it establishes sharp asymptotics for the growth of the number of favorite sites via a precise limsup involving the non-return probability $\gamma_d$. The authors develop a time-change approach using the maximal local time $m$, decompose the 2D local time into external and lazy components, and employ urn-model analogies and domino tilings to control near-maxima; in higher dimensions they exploit approximate independence of thick points and a Csáki-type bound to derive exact asymptotics. These methods settle a classical problem of Erdős and Révész (1987) and connect local-time maxima to the geometry of thick points and Gaussian-free-field related structures, with implications for occupation measures and extreme-point behavior in random walks.
Abstract
On the trace of a discrete-time simple random walk on $\mathbb{Z}^d$ for $d\geq 2$, we consider the evolution of favorite sites, i.e., sites that achieve the maximal local time at a certain time. For $d=2$, we show that almost surely three favorite sites occur simultaneously infinitely often and eventually there is no simultaneous occurrence of four favorite sites. For $d\geq 3$, we derive sharp asymptotics of the number of favorite sites. This answers an open question of Erdős and Révész (1987), which was brought up again in Dembo (2005).
