Exact Results for the One-Dimensional Self-Organized Critical Forest-Fire Model
classification
❄️ cond-mat
keywords
criticalanalyticmodelforest-fireresultsself-organizedundercalculate
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We present the analytic solution of the self-organized critical (SOC) forest-fire model in one dimension proving SOC in systems without conservation laws by analytic means. Under the condition that the system is in the steady state and very close to the critical point, we calculate the probability that a string of $n$ neighboring sites is occupied by a given configuration of trees. The critical exponent describing the size distribution of forest clusters is exactly $\tau = 2$ and does not change under certain changes of the model rules. Computer simulations confirm the analytic results.
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