The dynamical collision network in granular gases

TL;DR

This paper constructs and analyzes the collision network in granular gases, revealing a transition from homogeneous to clustered phases through k-shell structure evolution, and proposes this as a measure of Molecular Chaos violation.

Contribution

It introduces the k-shell decomposition of collision networks to characterize phase transitions and Molecular Chaos violation in granular gases.

Findings

In the homogeneous phase, the k-shell distribution peaks around a specific index.

In the clustered phase, the shell distribution develops a power-law tail.

The k-shell structure effectively indicates the transition between phases.

Abstract

We dynamically construct the interaction network in a granular gas, using the sequence of collisions collected in an MD event driven simulation of inelastic hard disks from time 0 till time t. The network is decomposed into its k-core structure: particles in a core of index k have collided at least k times with other particles in the same core. The difference between cores k+1 and k is the so-called k-shell, and the set of all shells is a complete and on-overlapping decomposition of the system. Because of energy dissipation, the gas cools down: its initial spatially homogeneous dynamics, characterized by the Haff law, i.e. a t^{-2} energy decay, is unstable towards a strongly inhomogeneous phase with clusters and vortices, where energy decays as t^{-1}. The clear transition between those two phases appears in the evolution of the k-shells structure in the collision network. In the homogeneous regime the k-shell structure evolves as in a growing network with fixed number of vertices and randomly added links: the shell distribution is strongly peaked around the most populated shell, which has an index k_{max} ~ 0.9 <d> with <d> the average number of collisions experienced by a particle. During the final non-homogeneous regime a growing fraction of collisions is concentrated in small, almost closed, 'communities' of particles: k_{max} is no more linear in <d> and the distribution of shells becomes extremely large developing a power-law tail ~ k^{-3} for high shell indexes. We propose the k-shell decomposition as a quantitative characterization of Molecular Chaos violation.