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        <identifier>oai:drops-oai.dagstuhl.de:12055</identifier>
        <datestamp>2024-03-06T10:49:17Z</datestamp>
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          <dc:title>On the Probability That a Random Digraph Is Acyclic</dc:title>
          <dc:creator>Ralaivaosaona, Dimbinaina</dc:creator>
          <dc:creator>Rasendrahasina, Vonjy</dc:creator>
          <dc:creator>Wagner, Stephan</dc:creator>
          <dc:subject>Random digraphs</dc:subject>
          <dc:subject>acyclic digraphs</dc:subject>
          <dc:subject>asymptotics</dc:subject>
          <dc:description>Given a positive integer n and a real number p ∈ [0,1], let D(n,p) denote the random digraph defined in the following way: each of the binom(n,2) possible edges on the vertex set {1,2,3,…,n} is included with probability 2p, where all edges are independent of each other. Thereafter, a direction is chosen independently for each edge, with probability 1/2 for each possible direction. In this paper, we study the probability that a random instance of D(n,p) is acyclic, i.e., that it does not contain a directed cycle. We find precise asymptotic formulas for the probability of a random digraph being acyclic in the sparse regime, i.e., when np = O(1). As an example, for each real number μ, we find an exact analytic expression for φ(μ) = lim_{n→ ∞} n^{1/3} ℙ{D(n,1/n (1+μ n^{-1/3})) is acyclic}.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Dimbinaina Ralaivaosaona and Vonjy Rasendrahasina and Stephan Wagner</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 159, 31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.AofA.2020.25</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-120557</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AofA.2020.25</dc:identifier>
          <dc:language>eng</dc:language>
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