A natural stochastic extension of the sandpile model on a graph

  • Yao ban Chan
  • , Jean François Marckert*
  • , Thomas Selig
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

We introduce a new model of a stochastic sandpile on a graph G containing a sink. When unstable, a site sends one grain to each of its neighbours independently with probability p ∈ (0, 1). The case p = 1 coincides with the standard Abelian sandpile model. In general, for p ∈ (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 G. We also define the lacking polynomial L 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.

Original languageEnglish
Pages (from-to)1913-1928
Number of pages16
JournalJournal of Combinatorial Theory. Series A
Volume120
Issue number7
DOIs
Publication statusPublished - Sept 2013
Externally publishedYes

Keywords

  • Random sandpile model
  • Recurrent configurations
  • Tutte polynomial

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