Connectivity for square percolation and coarse cubical rigidity in random right-angled Coxeter groups
Jason Behrstock, R. Altar Ciceksiz, Victor Falgas-Ravry
TL;DR
This work analyzes random right-angled Coxeter groups $W_{\Gamma}$ arising from presentation graphs $\Gamma \sim \mathcal{G}_{n,p}$ by examining the square graphs $S(\Gamma)$ and $T_1(\Gamma)$ that encode induced $4$-cycles. Using Chernoff and Janson inequalities and giant-connecting arguments, the authors determine precise connectivity thresholds for these square graphs and prove a unique giant square component emerges in a broad range of $p$. They then translate these combinatorial thresholds into geometric conclusions for $W_{\Gamma}$, showing a wide interval of $p$ yields a unique cubical coarse median structure, i.e., coarse cubical rigidity, including the regime $p=1/2$. The results imply that typical random RACGs are non-hyperbolic and rigid at the cubical level, and they connect square-percolation phenomena to questions about quasi-isometric RAAGs and the structure of their cubulations, while also presenting intriguing extremal constructions and open questions on component size and diameter.
Abstract
We consider random right-angled Coxeter groups, $W_Γ$, whose presentation graph $Γ$ is taken to be an Erdős--Rényi random graph, i.e., $Γ\sim \mathcal{G}_{n,p}$. We use techniques from probabilistic combinatorics to establish several new results about the geometry of these random groups. We resolve a conjecture of Susse and determine the connectivity threshold for square percolation on the random graph $Γ\sim \mathcal{G}_{n,p}$. We use this result to determine a large range of $p$ for which the random right-angled Coxeter group $W_Γ$ has a unique cubical coarse median structure. Until recent work of Fioravanti, Levcovitz and Sageev, there were no non-hyperbolic examples of groups with cubical coarse rigidity; our present results show the property is in fact typically satisfied by a random RACG for a wide range of the parameter $p$, including $p=1/2$.
