English

Mixing time and eigenvalues of the abelian sandpile Markov chain

Probability 2016-02-16 v1 Statistical Mechanics Combinatorics

Abstract

The abelian sandpile model defines a Markov chain whose states are integer-valued functions on the vertices of a simple connected graph GG. By viewing this chain as a (nonreversible) random walk on an abelian group, we give a formula for its eigenvalues and eigenvectors in terms of `multiplicative harmonic functions' on the vertices of GG. We show that the spectral gap of the sandpile chain is within a constant factor of the length of the shortest non-integer vector in the dual Laplacian lattice, while the mixing time is at most a constant times the smoothing parameter of the Laplacian lattice. We find a surprising inverse relationship between the spectral gap of the sandpile chain and that of simple random walk on GG: If the latter has a sufficiently large spectral gap, then the former has a small gap! In the case where GG is the complete graph on nn vertices, we show that the sandpile chain exhibits cutoff at time 14π2n3logn\frac{1}{4\pi^{2}}n^{3}\log n.

Keywords

Cite

@article{arxiv.1511.00666,
  title  = {Mixing time and eigenvalues of the abelian sandpile Markov chain},
  author = {Daniel C. Jerison and Lionel Levine and John Pike},
  journal= {arXiv preprint arXiv:1511.00666},
  year   = {2016}
}

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42 pages