Stochastic partial differential equations arising in self-organized criticality

We study scaling limits of the weakly driven Zhang and the Bak–Tang–Wiesenfeld (BTW) model for self-organized criticality. We show that the weakly driven Zhang model converges to a stochastic partial differential equation (PDE) with singular-degenerate diffusion. In addition, the deterministic BTW model is shown to converge to a singular-degenerate PDE. Alternatively, the proof of the scaling limit can be understood as a convergence proof of a finite-difference discretization for singular-degenerate stochastic PDEs. This extends recent work on finite difference approximation of (deterministic) quasilinear diffusion equations to discontinuous diffusion coefficients and stochastic PDEs. In addition, we perform numerical simulations illustrating key features of the considered models and the convergence to stochastic PDEs in spatial dimension d=1,2.

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Publication Details

Journal
The Annals of Applied Probability
Published
2025-02-01
DOI
https://doi.org/10.1214/24-aap2119
Citations
4
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
4.51
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article

Stochastic partial differential equations arising in self-organized criticality

Marius Neuß, Benjamin Gess, Ľubomír Baňas
4 citations
The Annals of Applied Probability
Advanced Mathematical Modeling in Engineering
4.51
article

Stochastic partial differential equations arising in self-organized criticality

Marius Neuß, Benjamin Gess, Ľubomír Baňas
article en
4 citations

Abstract

We study scaling limits of the weakly driven Zhang and the Bak–Tang–Wiesenfeld (BTW) model for self-organized criticality. We show that the weakly driven Zhang model converges to a stochastic partial differential equation (PDE) with singular-degenerate diffusion. In addition, the deterministic BTW model is shown to converge to a singular-degenerate PDE. Alternatively, the proof of the scaling limit can be understood as a convergence proof of a finite-difference discretization for singular-degenerate stochastic PDEs. This extends recent work on finite difference approximation of (deterministic) quasilinear diffusion equations to discontinuous diffusion coefficients and stochastic PDEs. In addition, we perform numerical simulations illustrating key features of the considered models and the convergence to stochastic PDEs in spatial dimension d=1,2.

The Annals of Applied ProbabilityVol. 35(1)
Bielefeld University (DE), Max Planck Institute for Mathematics in the Sciences (DE), Max Planck Institute for Mathematics (DE), Deutsche Bundesbank (DE)
Reduced inequalities
Openalex Percentile: Top 7%
Advanced Mathematical Modeling in Engineering
4.51
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