The Random-Cluster Model on Wired Trees: Uniqueness and Negative Dependence
arXiv:2608.08565
Abstract
The random-cluster model with cluster weight is expected to exhibit negative dependence, but without FKG even pairwise negative correlation remains open on general graphs. We study the model on the infinite -regular tree with wired boundary conditions. Write and . Classical results identify the product wired state for and construct a percolative all-wired limit for . We prove that the supercritical wired DLR specification has a unique Gibbs measure, namely this all-wired limit. Consequently, the wired DLR phase diagram is complete: the unique measure is Bernoulli bond percolation with parameter for , while it percolates for . We also establish negative dependence across wired branches. On a finite wired tree, the vector of branch-connectivity indicators satisfies conditional negative association under positive external fields (CNA+). Hence bounded increasing observables supported on disjoint collections of branches incident to a common vertex have nonpositive covariance. The same inequality holds in the unique infinite-volume wired measure for every , with equality for .
32 pages, 1 figure