Under subcritical initial conditions, the activated random walk on villages satisfies a law of large numbers as n goes to infinity, with the limit given by a unique solution to a system of nonlinear equations.
Divisible sandpiles via random walks in random scenery
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
We analyze an optimal stopping problem for random walk in random scenery on general graphs, and determine when it has a finite optimum. We use this to extend a theorem of Levine, Murugan, Peres, and Ugurcan [2016]. They proved that on a vertex-transitive graph, the divisible sandpile with i.i.d. initial masses of mean $\mu$ stabilizes almost surely if $\mu < 1$, explodes if $\mu > 1$, and explodes if $\mu = 1$ with positive finite variance. Their proofs rely on conservation of mean mass under toppling. This conservation extends to unimodular random graphs, but fails on general graphs. We prove explosion for all infinite bounded-degree graphs whenever $\mu \geq 1$, and stabilization for $\mu<1$ provided the initial masses have finite $p$-th moment for some $p>3$. Our conditions are nearly sharp: we exhibit unbounded-degree graphs on which sandpiles with $\mu > 1$ stabilize, and for every $p < 3$ we construct bounded-degree graphs on which sandpiles with~$\mu < 1$ and finite $p$-th moment explode.
fields
math.PR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Average fluctuations of IDLA on V_N × ℤ converge to the GFF for any vertex-transitive V_N satisfying an eigenvalue convergence condition, with improved maximal fluctuation bounds implying a shape theorem.
citing papers explorer
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Law of large numbers for activated random walk on villages
Under subcritical initial conditions, the activated random walk on villages satisfies a law of large numbers as n goes to infinity, with the limit given by a unique solution to a system of nonlinear equations.
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Gaussian fluctuations for Internal DLA on cylinders
Average fluctuations of IDLA on V_N × ℤ converge to the GFF for any vertex-transitive V_N satisfying an eigenvalue convergence condition, with improved maximal fluctuation bounds implying a shape theorem.