Exponential decay of loop lengths in the loop $O(n)$ model with large $n$
Hugo Duminil-Copin, Ron Peled, Wojciech Samotij, Yinon Spinka

TL;DR
This paper proves that in the loop $O(n)$ model on the hexagonal lattice with large $n$, long loops decay exponentially, and describes the phase transition between dilute disordered and dense ordered phases based on parameters.
Contribution
It establishes exponential decay of correlations for large $n$ in the loop $O(n)$ model and characterizes the phase transition depending on the parameters.
Findings
Long loops are exponentially unlikely for large $n$
Existence of dilute and dense phases depending on parameters
Characterization of typical configurations in different phases
Abstract
The loop model is a model for a random collection of non-intersecting loops on the hexagonal lattice, which is believed to be in the same universality class as the spin model. It has been conjectured that both the spin and the loop models exhibit exponential decay of correlations when . We verify this for the loop model with large parameter , showing that long loops are exponentially unlikely to occur, uniformly in the edge weight . Our proof provides further detail on the structure of typical configurations in this regime. Putting appropriate boundary conditions, when is sufficiently small, the model is in a dilute, disordered phase in which each vertex is unlikely to be surrounded by any loops, whereas when is sufficiently large, the model is in a dense, ordered phase which is a small perturbation of one of the three ground states.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
