English

One-arm Probabilities for Metric Graph Gaussian Free Fields below and at the Critical Dimension

Probability 2024-07-15 v2

Abstract

For the critical level-set of the Gaussian free field on the metric graph of Zd\mathbb Z^d, we consider the one-arm probability θd(N)\theta_d(N), i.e., the probability that the boundary of a box of side length 2N2N is connected to the center. We prove that θd(N)\theta_d(N) is O(Nd2+1)O(N^{-\frac{d}{2}+1}) for 3d53\le d\le 5, and is N2+o(1)N^{-2+o(1)} for d=6d=6. Our upper bounds match the lower bounds in a previous work by Ding and Wirth up to a constant factor for 3d53\le d\le 5, and match the exponent therein for d=6d=6. Combined with our previous result that θd(N)N2\theta_d(N) \asymp N^{-2} for d>6d>6, this seems to present the first percolation model whose one-arm probabilities are essentially completely understood in all dimensions. In particular, these results fully confirm Werner's conjectures (2021) on the one-arm exponents: \begin{equation*} \text{(1) for}\ 3\le d<d_c=6,\ \theta_d(N)=N^{-\frac{d}{2}+o(1)};\ \text{(2) for}\ d>d_c,\ \theta_d(N)=N^{-2+o(1)}. \end{equation*} Prior to our work, Drewitz, Pr\'evost and Rodriguez obtained upper bounds for d{3,4}d\in \{3, 4\}, which are very sharp although lose some diverging factors. In the same work, they conjectured that θdc(N)=N2+o(1)\theta_{d_c}(N) = N^{-2+o(1)}, which is now established. In addition, in a recent concurrent work, Drewitz, Pr\'evost and Rodriguez independently obtained the up-to-constant upper bound for d=3d=3.

Keywords

Cite

@article{arxiv.2406.02397,
  title  = {One-arm Probabilities for Metric Graph Gaussian Free Fields below and at the Critical Dimension},
  author = {Zhenhao Cai and Jian Ding},
  journal= {arXiv preprint arXiv:2406.02397},
  year   = {2024}
}