3 research outputs found

    A natural stochastic extension of the sandpile model on a graph

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    We introduce a new model of a stochastic sandpile on a graph GG containing a sink. When unstable, a site sends one grain to each of its neighbours independently with probability p∈(0,1]p \in (0,1]. For p=1p=1, this coincides with the standard Abelian sandpile model. In general, for p∈(0,1)p\in(0,1), the set of recurrent configurations of this sandpile model is different from that of the Abelian sandpile model. We give a characterisation of this set in terms of orientations of the graph GG. We also define the lacking polynomial LGL_G as the generating function counting this set according to the number of grains, and show that this polynomial satisfies a recurrence which resembles that of the Tutte polynomial
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