Near-critical avalanches in 2D frozen percolation and forest fires
Wai-Kit Lam, Pierre Nolin

TL;DR
This paper investigates near-critical avalanches in frozen percolation and forest fire models on the triangular lattice, revealing logarithmic scaling behaviors and advancing understanding of self-organized criticality in these processes.
Contribution
It provides the first detailed analysis of avalanche sizes and counts near criticality in frozen percolation and forest fire models, extending previous work with new coupling and exploration techniques.
Findings
Number of frozen clusters around a vertex scales as (log(96/5))^{-1} log log N
Number of burnt clusters scales as (log(96/41))^{-1} log log (zeta^{-1})
Most clusters have volume approximately zeta^{-91/55}
Abstract
We study two closely related processes on the triangular lattice: frozen percolation, where connected components of occupied vertices freeze (they stop growing) as soon as they contain at least vertices, and forest fire processes, where connected components burn (they become entirely vacant) at rate . In this paper, we prove that when the density of occupied sites approaches the critical threshold for Bernoulli percolation, both processes display a striking phenomenon: the appearance of near-critical "avalanches". More specifically, we analyze the avalanches, all the way up to the natural characteristic scale of each model, which constitutes an important step toward understanding the self-organized critical behavior of such processes. For frozen percolation, we show in particular that the number of frozen clusters surrounding a given vertex is asymptotically equivalent…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Theoretical and Computational Physics
