Self-Organized Criticality and Energy Cascades: A Proposal for a Toy Model to Approach Fluid Turbulence

Abstract

Self-organized criticality (SOC) describes a class of dynamical systems that may evolve toward statistically critical states characterized by scale-free avalanche-like events. In this work, we study an SOC-inspired discrete toy model and examine the avalanche size statistics generated by local stochastic interactions. The aim is to explore whether a minimal avalanche model can reproduce statistical features that are formally reminiscent of multiscale turbulent phenomenology. We present a mathematical formulation of the toy model, analyze its numerical avalanche-size distribution, and discuss its relation to concepts of scaling, intermittency, and energy cascades in turbulence. The comparison with Navier–Stokes turbulence is therefore interpreted as a qualitative and statistical analogy, not as a physically complete correspondence. The results suggest that SOC-inspired toy models can provide a useful exploratory framework for understanding heavy-tailed activity and multiscale organization.