Rainbow Arborescence in Random Digraphs

Deepak Bal, Patrick Bennett, Colin Cooper, Alan Frieze, Paweł Prałat

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We consider the Erdős–Rényi random directed graph process, which is a stochastic process that starts with n vertices and no edges, and at each step adds one new directed edge chosen uniformly at random from the set of missing edges. Let (Formula presented.) be a graph with m edges obtained after m steps of this process. Each edge (Formula presented.) ((Formula presented.)) of (Formula presented.) independently chooses a color, taken uniformly at random from a given set of (Formula presented.) colors. We stop the process prematurely at time M when the following two events hold: (Formula presented.) has at most one vertex that has in-degree zero and there are at least (Formula presented.) distinct colors introduced ((Formula presented.) if at the time when all edges are present there are still less than (Formula presented.) colors introduced; however, this does not happen asymptotically almost surely). The question addressed in this article is whether (Formula presented.) has a rainbow arborescence (i.e. a directed, rooted tree on n vertices in which all edges point away from the root and all the edges are different colors). Clearly, both properties are necessary for the desired tree to exist and we show that, asymptotically almost surely, the answer to this question is “yes.”.

Original languageEnglish
Pages (from-to)251-265
Number of pages15
JournalJournal of Graph Theory
Issue number3
StatePublished - 1 Nov 2016


  • arborescence
  • random digraphs


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