Abstract

The classical hard core model from statistical physics, with activity λ>0λ> 0 and capacity C=1C=1, on a graph GG, concerns a probability measure on the set I(G){\mathcal I}(G) of independent sets of GG, with the measure of each independent set I∈I(G)I \in {\mathcal I}(G) being proportional to λ∣I∣λ^{|I|}. Ramanan et al. proposed a generalization of the hard core model as an idealized model of multicasting in communication networks. In this generalization, the {\em multi-state} hard core model, the capacity CC is allowed to be a positive integer, and a configuration in the model is an assignment of states from {0,…,C}\{0,\ldots,C\} to V(G)V(G) (the set of nodes of GG) subject to the constraint that the states of adjacent nodes may not sum to more than CC. The activity associated to state ii is λiλ^{i}, so that the probability of a configuration σ:V(G)→{0,…,C}σ:V(G)\rightarrow \{0,\ldots, C\} is proportional to λ∑v∈V(G)σ(v)λ^{\sum_{v \in V(G)} σ(v)}. In this work, we consider this generalization when GG is an infinite rooted bb-ary tree and prove rigorously some of the conjectures made by Ramanan et al. In particular, we show that the C=2C=2 model exhibits a (first-order) phase transition at a larger value of λλ than the C=1C=1 model exhibits its (second-order) phase transition. In addition, for large bb we identify a short interval of values for λλ above which the model exhibits phase co-existence and below which there is phase uniqueness. For odd CC, this transition occurs in the region of $λ= (e/b)^{1/\ceil{C/2}}$, while for even CC, it occurs around λ=(log⁡b/b(C+2))2/(C+2)λ=(\log b/b(C+2))^{2/(C+2)}. In the latter case, the transition is first-order.

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