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Coupling Brownian loop soups and random walk loop soups at all polynomial scales

Wei Qian

TL;DR

This work removes the prior restriction that the Lawler–Trujillo Ferreras coupling between Brownian loop soups and random walk loop soups only applied to loops above a mesoscopic threshold, establishing a coupling at all polynomial scales for all dimensions $d\ge 1$. The authors construct a refined coupling using a new time-slicing sequence $\{a_n\}$ satisfying $a_n=\frac{2n}{d}+O(1)$ and leverage a multidimensional KMT coupling to align long and short loop segments across the Brownian and random-walk settings, for both continuous- and discrete-time variants. The result yields a one-to-one correspondence between loops with time-length above a scale determined by $\theta\in(0,2)$, with tight proximity bounds $|t_\gamma-t_{\widetilde{\gamma}}|\le c N^{-2}$ and $\sup_{0\le s\le 1}|\gamma(s t_\gamma)-\widetilde{\gamma}(s t_{\widetilde{\gamma}})|\le c N^{-1}\log N$, extending the coupling to mesoscopic loops and to all dimensions. This advances the applicability of loop-soup couplings to scaling-limit analyses and chaos approximations, enabling precise, global control of loop structures at all polynomial scales. The results also fill gaps for $d\ge 3$ where convergence of random-walk loop soups to Brownian loop soups had been less explicit, with potential implications for related conformal or geometric limit theorems.

Abstract

Lawler and Trujillo Ferreras constructed a well-known coupling between the Brownian loop soups in $\mathbb{R}^2$ and the random walk loop soups on $\mathbb{Z}^2$ (one rescales the random walk loops by $1/N$, their time parametrizations by $1/(2N^2)$, and let $N\to \infty$), which led to numerous applications. It nevertheless only holds for loops with time length at least $N^{θ-2}$ for $θ\in(2/3,2)$. In particular, there is no control on mesoscopic loops with time length less than $N^{-4/3}$ (i.e.\ roughly diameter less than $N^{-2/3}$). In this paper, we find a simple way to remove the restriction $θ>2/3$, so that such a coupling works for all $θ\in (0,2)$, i.e. for loops at all polynomial scales. We also establish this coupling in any dimension $d\ge 1$ (i.e. for random walk loop soups on $\mathbb{Z}^d$ and Brownian loop soups on $\mathbb{R}^d$).

Coupling Brownian loop soups and random walk loop soups at all polynomial scales

TL;DR

This work removes the prior restriction that the Lawler–Trujillo Ferreras coupling between Brownian loop soups and random walk loop soups only applied to loops above a mesoscopic threshold, establishing a coupling at all polynomial scales for all dimensions . The authors construct a refined coupling using a new time-slicing sequence satisfying and leverage a multidimensional KMT coupling to align long and short loop segments across the Brownian and random-walk settings, for both continuous- and discrete-time variants. The result yields a one-to-one correspondence between loops with time-length above a scale determined by , with tight proximity bounds and , extending the coupling to mesoscopic loops and to all dimensions. This advances the applicability of loop-soup couplings to scaling-limit analyses and chaos approximations, enabling precise, global control of loop structures at all polynomial scales. The results also fill gaps for where convergence of random-walk loop soups to Brownian loop soups had been less explicit, with potential implications for related conformal or geometric limit theorems.

Abstract

Lawler and Trujillo Ferreras constructed a well-known coupling between the Brownian loop soups in and the random walk loop soups on (one rescales the random walk loops by , their time parametrizations by , and let ), which led to numerous applications. It nevertheless only holds for loops with time length at least for . In particular, there is no control on mesoscopic loops with time length less than (i.e.\ roughly diameter less than ). In this paper, we find a simple way to remove the restriction , so that such a coupling works for all , i.e. for loops at all polynomial scales. We also establish this coupling in any dimension (i.e. for random walk loop soups on and Brownian loop soups on ).
Paper Structure (13 sections, 8 theorems, 59 equations)

This paper contains 13 sections, 8 theorems, 59 equations.

Key Result

Theorem 1.1

One can define $\{\mathcal{A}_\lambda\}_{\lambda>0}$ and $\{\widetilde{\mathcal{A}}_\lambda\}_{\lambda>0}$ on the same probability space so that for each $\lambda>0$, $\mathcal{A}_\lambda$ is a realization of the Brownian loop soup in $\mathbb{R}^2$, and $\widetilde{\mathcal{A}}_\lambda$ is a realiz If $\widetilde{\gamma}\in \widetilde{\mathcal{A}}_{\lambda, N}$ and $\gamma\in\mathcal{A}_{\lambda,

Theorems & Definitions (10)

  • Theorem 1.1: Theorem 1.1, LTF2007
  • Theorem 1.2
  • Theorem 2.1
  • Theorem 2.2
  • Lemma 2.3
  • Theorem 2.4
  • Lemma 2.5
  • Lemma 3.1
  • proof
  • proof : Proof of Theorem \ref{['thm1']}