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Exact phase diagram for an asymmetric avalanche process
V B Priezzhev1, E V Ivashkevich, A M Povolotsky
1Bogoliubov Laboratory of Theoretical Physics, J. I. N. R., Dubna 141980, Russia.
Physical Review Letters
|August 11, 2001
Summary
This study analyzes particle flow in an asymmetric avalanche process, revealing a transition from intermittent to continuous flow as particle density increases. The average velocity diverges at a critical density, with the exponent depending on toppling rules.
Area of Science:
- Statistical physics
- Complex systems
- Non-equilibrium dynamics
Background:
- Avalanche processes are fundamental in various complex systems, from sandpiles to neural networks.
- Understanding the dynamics of particle flow, especially in asymmetric systems, is crucial for modeling emergent behaviors.
- Previous studies often relied on simulations; exact analytical solutions are less common for such systems.
Purpose of the Study:
- To derive exact results for an asymmetric avalanche process on a ring.
- To investigate the transition in particle flow behavior as a function of particle density and toppling probabilities.
- To determine the critical exponent governing the divergence of average velocity.
Main Methods:
- Utilizing the Bethe ansatz method for exact solutions.
- Employing an iterative procedure based on detailed balance.
- Deriving the average velocity (v) as a function of toppling probabilities and particle density (rho).
Main Results:
- A transition from intermittent to continuous particle flow is observed as rho increases.
- The average velocity (v) diverges at a critical particle density (rho(c)) with exponent alpha.
- The exact phase diagram of the transition is determined.
- The critical exponent alpha is found to be dependent on the specific toppling rules.
Conclusions:
- The study provides an exact analytical solution for an asymmetric avalanche process on a ring.
- The findings elucidate the critical behavior and phase transitions in non-equilibrium systems.
- The dependence of the critical exponent on toppling rules highlights the sensitivity of system dynamics to local interactions.