Fragmented perspective of self-organized criticality and disorder in log gravity

TL;DR

This paper models the log sector of log gravity as a self-organized critical system using statistical and combinatorial methods, revealing scale-invariant fragmentation behavior and disorder properties linked to glassy dynamics.

Contribution

It introduces a probabilistic framework connecting self-organized criticality, fragmentation phenomena, and disorder in log gravity, highlighting novel statistical insights.

Findings

Log sector exhibits power-law cluster size distribution at criticality

Identifies self-organized criticality in log gravity's log sector

Draws parallels between log gravity, spin glasses, and disordered systems

Abstract

We use a statistical model to discuss nonequilibrium fragmentation phenomena taking place in the stochastic dynamics of the log sector in log gravity. From the canonical Gibbs model, a combinatorial analysis reveals an important aspect of the $n$-particle evolution previously shown to generate a collection of random partitions according to the Ewens distribution realized in a disconnected double Hurwitz number in genus zero. By treating each possible partition as a member of an ensemble of fragmentations, and ensemble averaging over all partitions with the Hurwitz number as a special case of the Gibbs distribution, a resulting distribution of cluster sizes appears to fall as a power of the size of the cluster. Dynamical systems that exhibit a distribution of sizes giving rise to a scale-invariant power-law behavior at a critical point possess an important property called self-organized criticality. As a corollary, the log sector of log gravity is a self-organized critical system at the critical point $\mu l =1$. A similarity between self-organized critical systems, spin glass models and the dynamics of the log sector which exhibits aging behavior reminiscent of glassy systems is pointed out by means of the P\`{o}lya distribution, also known to classify various models of (randomly fragmented) disordered systems, and by presenting the cluster distribution in the log sector of log gravity as a distinguished member of this probability distribution. We bring arguments from a probabilistic perspective to discuss the disorder in log gravity, largely anticipated through the conjectured AdS$_3$/LCFT$_2$ correspondence.