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A random electrical network is a graph G with edges which are electrical connections, whose resistances form a family of independent identically distributed random variables. We consider the case when G is a complete graph on n + 2 vertices and a typical edge-resistance R has distribution P ( R = ∞ ) = 1 − γ ( n ) n , P ( R ⩽ x ) = γ ( n ) n F ( x ) for 0 ⩽ x nβ, for some positive number β. We state theorems which assert that, if γ(n) → γ ∈ [0, ∞) as n → ∞, then γc = 1 is a critical value of γ in that if γ ⩽ 1 then P(Rn = ∞) → 1, if γ > 1 then Rn converges to R′ + R″ in distribution, where R′ and R″ are independent random variables, each of which is distributed as the electrical resistance between the root and ‘infinity’ in the family tree of a branching process whose offspring distribution is Poisson, mean γ, and each of whose edges has a random electrical resistance which is independent of all other edge-resistances and has distribution function F.
Grimmett et al. (Wed,) studied this question.