Renormalization group approach to the critical behavior of the forest fire model
arXiv:cond-mat/9505128 · doi:10.1103/PhysRevLett.75.465
Abstract
We introduce a Renormalization scheme for the one and two dimensional Forest-Fire models in order to characterize the nature of the critical state and its scale invariant dynamics. We show the existence of a relevant scaling field associated with a repulsive fixed point. This model is therefore critical in the usual sense because the control parameter has to be tuned to its critical value in order to get criticality. It turns out that this is not just the condition for a time scale separation. The critical exponents are computed analytically and we obtain , and , respectively for the one and two dimensional case, in very good agreement with numerical simulations.
4 pages, 3 uuencoded Postcript figures
References in corpus (3)
Cited by in corpus (19)
- A review of wildland fire spread modelling, 1990-present 3: Mathematical analogues and simulation models
- 25 Years of Self-Organized Criticality: Solar and Astrophysics
- How self-organized criticality works: A unified mean-field picture
- Forest fires and other examples of self-organized criticality
- Self-organized branching processes: Avalanche models with dissipation
- Assessing Interaction Networks with Applications to Catastrophe Dynamics and Disaster Management
- Power law burst and inter-burst interval distributions in the solar wind: turbulence or dissipative SOC ?
- Critical Behavior of the Sandpile Model as a Self-Organized Branching Process
- Is Deep Learning a Renormalization Group Flow?
- A reaction-diffusion model of cholinergic retinal waves
- The emergence of scale-free fires in Australia
- Dynamically Driven Renormalization Group
- Dynamically Driven Renormalization Group Applied to Sandpile Models
- Critical Properties of the One-Dimensional Forest-Fire Model
- Renormalization Group Study of Sandpile on the Triangular Lattice
- Modified Renormalization Strategy for Sandpile Models
- Phase transitions in in vivo or in vitro populations of spiking neurons belong to different universality classes
- Word Processors with Line-Wrap: Cascading, Self-Organized Criticality, Random Walks, Diffusion, Predictability
- Novel Position-Space Renormalization Group for Bond Directed Percolation in Two Dimensions