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Poisson convergence and poisson processes with applications to random graphs

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  • Janson, Svante
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    Abstract

    We give a new sufficient condition for convergence to a Poisson distribution of a sequence of sums of dependent variables. The condition allows each summand to depend strongly on a few of the other variables and to depend weakly on the remaining ones. As a consequence we obtain sufficient conditions for the convergence of point processes, constructed as sets of (weakly) dependent random points in some space S, to a Poisson process. The main applications are to random graph theory. In particular, we solve the problem (proposed by Erdös) of finding the size of the first cycle in a random graph.

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    Bibliographic Info

    Article provided by Elsevier in its journal Stochastic Processes and their Applications.

    Volume (Year): 26 (1987)
    Issue (Month): ()
    Pages: 1-30

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    Handle: RePEc:eee:spapps:v:26:y:1987:i::p:1-30

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    Related research

    Keywords: Poisson limits Poisson processes point processes random graphs cycles subgraph statistics;

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