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Mixing time and eigenvalues of the abelian sandpile Markov chain
Author(s) -
Daniel C. Jerison,
Lionel Levine,
John Pike
Publication year - 2019
Publication title -
transactions of the american mathematical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.798
H-Index - 100
eISSN - 1088-6850
pISSN - 0002-9947
DOI - 10.1090/tran/7585
Subject(s) - mathematics , mixing (physics) , markov chain , eigenvalues and eigenvectors , abelian group , abelian sandpile model , pure mathematics , continuous time markov chain , chain (unit) , statistical physics , mathematical analysis , combinatorics , balance equation , markov model , statistics , physics , quantum mechanics
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 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 $G$: 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 $\frac{1}{4\pi^{2}}n^{3}\log n$.

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