Self-Organized Criticality with Complex Scaling Exponents in the Train Model

Abstract

The train model which is a variant of the Burridge-Knopoff earthquake model is investigated for a velocity-strengthening friction law. It shows self-organized criticality with complex scaling exponents. That is, the probability density function of the avalanche strength is a power law times a log-periodic function. Exact results (scaling exponent: $3/2+2\pi i/\ln 4$) are found for a nonlocal cellular automaton which approximates the overdamped train model. Further the influence of random static friction is discussed.

Written in RevTeX, 4 pages, 5 PostScript figure, appears in PRE

References in corpus (2)

• Nonlinear Dynamics of Dry Friction
• Burridge-Knopoff Models as Elastic Excitable Media

Cited by in corpus (4)

• Dry Friction Avalanches: Experiment and Robin Hood model
• Stick-Slip Motion and Phase Transition in a Block-Spring System
• Collective Behavior of Asperities in Dry Friction at Small Velocities
• Mapping the train model for earthquakes onto the stochastic sandpile model