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Counting directed acyclic and elementary digraphs

Published 23 Jan 2020 in math.CO, cs.DS, and math.PR | (2001.08659v2)

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 $c &lt; 1$, 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<sup>−1/3)m = n(1 + \mu n<sup>{-1/3}), the asymptotic behaviour changes, and the probability that a digraph is acyclic becomes n<sup>−1/3</sup>C(μ)n<sup>{-1/3}</sup> C(\mu), where C(μ)C(\mu) is an explicit function of μ\mu. {\L}uczak and Seierstad (2009, Random Structures & Algorithms, 35(3), 271--293) showed that, as μ→−∞\mu \to -\infty, the strongly connected components of a random digraph with nn vertices and m=n(1+μn<sup>−1/3)m = n(1 + \mu n<sup>{-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 μ\mu. Those results are obtained using techniques from analytic combinatorics, developed in particular to study random graphs.

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