Abstract

Directed acyclic graphs (DAGs) can be characterised as directed graphs whose strongly connected components are isolated vertices. Using this restriction on the strong components, we discover that when m=cnm = cn, where mm is the number of directed edges, nn is the number of vertices, and c<1c < 1, the asymptotic probability that a random digraph is acyclic is an explicit function p(c)p(c), such that p(0)=1p(0) = 1 and p(1)=0p(1) = 0. When m=n(1+μn−1/3)m = n(1 + μn^{-1/3}), the asymptotic behaviour changes, and the probability that a digraph is acyclic becomes n−1/3C(μ)n^{-1/3} C(μ), where C(μ)C(μ) is an explicit function of μμ. Łuczak and Seierstad (2009, Random Structures & Algorithms, 35(3), 271--293) showed that, as μ→−∞μ\to -\infty, the strongly connected components of a random digraph with nn vertices and m=n(1+μn−1/3)m = n(1 + μn^{-1/3}) directed edges are, with high probability, only isolated vertices and cycles. We call such digraphs elementary digraphs. We express the probability that a random digraph is elementary as a function of μμ. Those results are obtained using techniques from analytic combinatorics, developed in particular to study random graphs.

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