English

Phase transition of disordered random networks on quasi-transitive graphs

Probability 2020-10-06 v1

Abstract

Given a quasi-transitive infinite graph GG with volume growth rate gr(G),{\rm gr}(G), a transient biased electric network (G,c1)(G,\, c_1) with bias λ1(0,gr(G))\lambda_1\in (0,\,{\rm gr}(G)) and a recurrent biased one (G,c2)(G,\, c_2) with bias λ2(gr(G),).\lambda_2\in ({\rm gr}(G),\infty). Write G(p)G(p) for the Bernoulli-pp bond percolation on GG defined by the grand coupling. Let (G,c1,c2,p)(G,\, c_1,\, c_2,\, p) be the following biased disordered random network: Open edges ee in G(p)G(p) take the conductance c1(e)c_1(e), and closed edges gg in G(p)G(p) take the conductance c2(g)c_2(g). Our main results are as follows: (i) On connected quasi-transitive infinite graph GG with percolation threshold pc(0,1),p_c\in (0,\, 1), (G,c1,c2,p)(G,\, c_1,\, c_2,\, p) has a non-trivial recurrence/transience phase transition such that the threshold pc(0,1)p_{c}^{*}\in (0,\, 1) is deterministic, and almost surely (G,c1,c2,p)(G,\, c_1,\, c_2,\, p) is recurrent for p<pcp<p_c^* and transient for p>pc.p>p_c^*. There is a non-trivial recurrence/transience phase transition for (G,c1,c2,p)(G,\, c_1,\, c_2,\, p) with GG being a Cayley graph if and only if the corresponding group is not virtually Z\mathbb{Z}. (ii) On Zd\mathbb{Z}^d for any d1,d\geq 1, pc=pcp_c^{*}= p_c. And on dd-regular trees Td\mathbb{T}^d with d3d\geq 3, pc=(λ11)pcp_c^{*}=(\lambda_1\vee 1) p_c, and thus pc>pcp_c^{*}>p_c for any λ1(1,gr(Td)).\lambda_1\in (1,\,{\rm gr}(\mathbb{T}^d)). As a contrast, we also consider phase transition of having unique currents or not for (Zd,c1,c2,p)(\mathbb{Z}^d,\, c_1,\, c_2,\, p) with d2d\geq 2 and prove that almost surely (Z2,c1,c2,p)(\mathbb{Z}^2,\, c_1,\, c_2,\, p) with λ1<1λ2\lambda_1<1\leq\lambda_2 has unique currents for any p[0,1]p\in [0,1].

Keywords

Cite

@article{arxiv.2010.01530,
  title  = {Phase transition of disordered random networks on quasi-transitive graphs},
  author = {Yuelin Liu and Kainan Xiang},
  journal= {arXiv preprint arXiv:2010.01530},
  year   = {2020}
}