Strong-recurrence threshold conjecture for branching random walks on bounded-degree graphs

Let GG be a graph with bounded degrees, let PP be the transition kernel of the underlying random walk, and for each induced connected subgraph FGF\subset G with finite boundary let PFP_F be the corresponding restricted transition kernel. Define

ρ~(P)=infFρ(PF),\widetilde{\rho}(P)=\inf_F\rho(P_F),

where the infimum is over all such induced connected subgraphs FF. Let mm be the mean number of offspring of the branching random walk (BRW), and call the BRW strongly recurrent when it eventually visits every vertex almost surely.

Strong-recurrence threshold conjecture. Let GG be a graph with bounded degrees. Then the BRW is strongly recurrent if and only if

m>1/ρ~(P).m>1/\widetilde{\rho}(P).

This conjecture was previously made in the cited work of Müller and collaborators. General criteria for strong recurrence remain incomplete, so the conjecture is open.

Sources & referencesView supporting material

Primary source

Itai Benjamini and Sebastian Müller, “On the trace of branching random walks”, arXiv:1002.2781 (2010).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.