The Poisson stick model in hyperbolic space
Erik I. Broman, Johan H. Tykesson

TL;DR
This paper investigates the asymptotic behavior of critical points in the Poisson stick model in hyperbolic space as stick length increases, revealing different scaling laws for percolation and uniqueness phase transitions compared to Euclidean space.
Contribution
It provides the first analysis of how critical intensities scale with stick length in hyperbolic space, highlighting differences from Euclidean models.
Findings
Percolation critical point scales like L^{-2}
Uniqueness critical point scales like L^{-1}
Behavior matches Euclidean for percolation but differs for uniqueness
Abstract
In this paper we study the Poisson stick model in two dimensional hyperbolic space where the sticks all have length Typically, percolation models in hyperbolic space undergo two phase transitions as the intensity varies, namely the percolation phase transition and the uniqueness phase transition. For the Poisson stick model, the critical intensities at which these transitions occur will depend on , and in this paper we study the asymptotic behavior of these critical points as Our main results show that the critical point for the percolation phase transition scales like while the critical point for the uniqueness phase transition scales like Comparing these results to the analogous results in Euclidean space show that the behavior of the percolation phase transition is the same in these two settings, while the…
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Random Matrices and Applications
