2017
DOI: 10.1214/17-ejp111
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Inequalities for critical exponents in $d$-dimensional sandpiles

Abstract: Consider the Abelian sandpile measure on Z d , d ≥ 2, obtained as the L → ∞ limit of the stationary distribution of the sandpile on [−L, L] d ∩ Z d . When adding a grain of sand at the origin, some region, called the avalanche cluster, topples during stabilization. We prove bounds on the behaviour of various avalanche characteristics: the probability that a given vertex topples, the radius of the toppled region, and the number of vertices toppled. Our results yield rigorous inequalities for the relevant critic… Show more

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Cited by 16 publications
(22 citation statements)
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“…In comparison to the intrinsic diameter, our methods to study the extrinsic diameter are more delicate and require stronger assumptions on the graph in order to derive sharp estimates. Our first result on the extrinsic diameter concerns Z d , and improves upon the results of Bhupatiraju, Hanson, and Járai [21] by removing the polylogarithmic errors present in their results. Theorem 1.4 (Mean-field Euclidean extrinsic diameter).…”
Section: Extrinsic Exponentssupporting
confidence: 76%
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“…In comparison to the intrinsic diameter, our methods to study the extrinsic diameter are more delicate and require stronger assumptions on the graph in order to derive sharp estimates. Our first result on the extrinsic diameter concerns Z d , and improves upon the results of Bhupatiraju, Hanson, and Járai [21] by removing the polylogarithmic errors present in their results. Theorem 1.4 (Mean-field Euclidean extrinsic diameter).…”
Section: Extrinsic Exponentssupporting
confidence: 76%
“…• Also in the case of Z d for d ≥ 5, Bhupatiraju, Hanson, and Járai [21] followed the strategy of an unpublished proof of Lyons, Morris, and Schramm [53] to prove that the probability that the past reaches extrinsic distance n is n −2 log O (1) n and that the probability that the past has volume n is n −1/2 log O(1) n. Our results improve upon theirs in this case by reducing the error from polylogarithmic to constant order. Moreover, their proof relies heavily on transitivity and cannot be used to derive universal results of the kind we prove here.…”
Section: Relation To Other Workmentioning
confidence: 99%
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“…Their result can be stated using discrete derivatives of the Green's function on Z 2 . Let (6) ν :" 1 4`δ p´1,0q`δp1,0q`δp0,´1q`δp0,1qb e the measure that drives simple random walk on Z 2 , and let ν˚n be its n-th convolution power, so that ν˚npxq is the probability that a random walker started from the origin is at site x after n steps. The Green's function is defined by (7) G Z 2 pxq :" 1 4 8 ÿ n"0 rν˚npxq´ν˚np0, 0qs .…”
Section: 2mentioning
confidence: 99%
“…The distribution of avalanche sizes -the total number of topplings after a random particle drop -follows a power law [1] and is thus scale-invariant. However, the critical exponent for this power law is yet unknown [11]. Figure 1.…”
Section: Introductionmentioning
confidence: 99%