Phase transition of disordered random networks on quasi-transitive graphs

Abstract

Given a quasi-transitive infinite graph G with volume growth rate gr(G), a transient biased electric network (G,\, c1) with bias λ1∈ (0,\, gr(G)) and a recurrent biased one (G,\, c2) with bias λ2∈ ( gr(G),∞). Write G(p) for the Bernoulli-p bond percolation on G defined by the grand coupling. Let (G,\, c1,\, c2,\, p) be the following biased disordered random network: Open edges e in G(p) take the conductance c1(e), and closed edges g in G(p) take the conductance c2(g). Our main results are as follows: (i) On connected quasi-transitive infinite graph G with percolation threshold pc∈ (0,\, 1), (G,\, c1,\, c2,\, p) has a non-trivial recurrence/transience phase transition such that the threshold pc*∈ (0,\, 1) is deterministic, and almost surely (G,\, c1,\, c2,\, p) is recurrent for p<pc* and transient for p>pc*. There is a non-trivial recurrence/transience phase transition for (G,\, c1,\, c2,\, p) with G being a Cayley graph if and only if the corresponding group is not virtually Z. (ii) On Zd for any d≥ 1, pc*= pc. And on d-regular trees Td with d≥ 3, pc*=(λ1 1) pc, and thus pc*>pc for any λ1∈ (1,\, gr(Td)). As a contrast, we also consider phase transition of having unique currents or not for (Zd,\, c1,\, c2,\, p) with d≥ 2 and prove that almost surely (Z2,\, c1,\, c2,\, p) with λ1<1≤λ2 has unique currents for any p∈ [0,1].

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