Mixing time and eigenvalues of the abelian sandpile Markov chain

TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY(2019)

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摘要
The abelian sandpile model defines a Markov chain whose states are integer-valued functions on the vertices of a simple connected graph G. 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 G. We show that the spectral gap of the sandpile chain is within a constant factor of the length of the shortest noninteger 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 G: If the latter has a sufficiently large spectral gap, then the former has a small gap! In the case where G is the complete graph on n vertices, we show that the sandpile chain exhibits cutoff at time 1/4 pi(2) n(3) log n.
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关键词
Abelian sandpile model,chip-firing,Laplacian lattice,mixing time,multiplicative harmonic function,pseudoinverse,sandpile group,smoothing parameter,spectral gap
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