Packing, counting and covering Hamilton cycles in random directed graphs

Asaf Ferber, Gal Kronenberg, Eoin Long

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A Hamilton cycle in a digraph is a cycle that passes through all the vertices, where all the arcs are oriented in the same direction. The problem of finding Hamilton cycles in directed graphs is well studied and is known to be hard. One of the main reasons for this is that there is no general tool for finding Hamilton cycles in directed graphs comparable to the so-called Posá ‘rotation-extension’ technique for the undirected analogue. Let D(n, p) denote the random digraph on vertex set [n], obtained by adding each directed edge independently with probability p. Here we present a general and a very simple method, using known results, to attack problems of packing and counting Hamilton cycles in random directed graphs, for every edge-probability p > logC(n)/n. Our results are asymptotically optimal with respect to all parameters and apply equally well to the undirected case.

    Original languageEnglish
    Pages (from-to)57-87
    Number of pages31
    JournalIsrael Journal of Mathematics
    Volume220
    Issue number1
    DOIs
    StatePublished - 1 Jun 2017

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