Table of Contents
Fetching ...

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).

Favorite sites for simple random walk in two and more dimensions

TL;DR

This work resolves the long-standing question of how many favorite sites a simple random walk on can realize over time. It proves that in dimension three favorite sites occur infinitely often while four never do, and for it establishes sharp asymptotics for the growth of the number of favorite sites via a precise limsup involving the non-return probability . The authors develop a time-change approach using the maximal local time , 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 for , we consider the evolution of favorite sites, i.e., sites that achieve the maximal local time at a certain time. For , we show that almost surely three favorite sites occur simultaneously infinitely often and eventually there is no simultaneous occurrence of four favorite sites. For , 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).
Paper Structure (19 sections, 33 theorems, 294 equations, 3 figures)

This paper contains 19 sections, 33 theorems, 294 equations, 3 figures.

Key Result

Theorem 1.1

$(d=2)$ Almost surely,

Figures (3)

  • Figure 1: Excursions $\{e^{(i)}:i\ge 1\}$. The two concentric disks are $D(x,R_n)$ and $D(x,r^0_n)$. The blue curve (both solid and dashed parts) is the sample path of $S$, the three solid sections of which are $e^{(1)}$, $e^{(2)}$, and $e^{(3)}$ respectively.
  • Figure 2: Excursions $\{v_{i,j}:j=1,\ldots,Z^i\}$. The disk $D(x,r_n)$ is added in this figure. The two red dashed sections are $v_{1,1}$ and $v_{1,2}$ respectively and $Z^1=2$ in this case.
  • Figure 3: $D(0,K_n)$, $D(x,r_{n,k})$, and $U_n$.

Theorems & Definitions (64)

  • Theorem 1.1
  • Theorem 1.2
  • Proposition 1.3
  • Remark 1.4
  • Lemma 2.1: $d=2$
  • Lemma 2.2: $d\ge3$
  • proof
  • Lemma 2.3: Local central limit theorem
  • Lemma 2.4: Moderate deviation
  • Lemma 2.5: $d=2$
  • ...and 54 more