1/f^α noise from self-organized critical models with uniform driving
classification
❄️ cond-mat.stat-mech
nlin.AO
keywords
alphanoiseactivation-deactivationcriticalmodelmodelsself-organizeduniform
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Using the well-known Olami-Feder-Christensen model as our paradigm, we show how to modify uniform driven self-organized critical models to generate $1/f^\alpha$ noise. Our model can reproduce all the main features of $1/f^\alpha$ noise: (1) $\alpha$ is close to one and does not depend on the dimension of the system. (2) The $1/f^\alpha$ behavior is found for very low frequencies. (3) The spatial correlations do not obey a power law. That proves that spatially extended systems based on activation-deactivation processes do not have to be point-driven to produce $1/f^\alpha$ noise. The essential ingredient is a local memory of the activation-deactivation process.
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