Size distributions of shocks and static avalanches from the Functional Renormalization Group
Pierre Le Doussal, Kay J\"org Wiese

TL;DR
This paper derives the size distribution of static avalanches in disordered interfaces using the functional renormalization group, providing analytical results across different dimensions and universality classes, with implications for related physical systems.
Contribution
It introduces a comprehensive FRG-based method to compute static avalanche size distributions for various disorder types and dimensions, extending mean-field results and exploring universality.
Findings
Derived the mean-field avalanche size distribution P(S) ~ S^(-3/2) exp(-S/[4 S_m])
Obtained a generalized distribution P(S) ~ S^(-tau) with corrections for non-mean-field cases
Connected avalanche statistics to known exponents and universality classes, including long-range elasticity and hyper-plane cases.
Abstract
Interfaces pinned by quenched disorder are often used to model jerky self-organized critical motion. We study static avalanches, or shocks, defined here as jumps between distinct global minima upon changing an external field. We show how the full statistics of these jumps is encoded in the functional-renormalization-group fixed-point functions. This allows us to obtain the size distribution P(S) of static avalanches in an expansion in the internal dimension d of the interface. Near and above d=4 this yields the mean-field distribution P(S) ~ S^(-3/2) exp(-S/[4 S_m]) where S_m is a large-scale cutoff, in some cases calculable. Resumming all 1-loop contributions, we find P(S) ~ S^(-tau) exp(C (S/S_m)^(1/2) -B/4 (S/S_m)^delta) where B, C, delta, tau are obtained to first order in epsilon=4-d. Our result is consistent to O(epsilon) with the relation tau = 2-2/(d+zeta), where zeta is the…
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