Similarity of ensembles of trajectories of reversible and irreversible growth processes
Katherine Klymko, Juan P. Garrahan, Stephen Whitelam

TL;DR
This paper demonstrates that reversible and irreversible growth processes share similar trajectory behaviors at the mean-field level, both influenced by attractors and undergoing nonequilibrium phase transitions, unifying their theoretical descriptions.
Contribution
It provides a mean-field framework showing the similarity of trajectories in reversible and irreversible growth, linking an irreversible model to the equilibrium Ising model.
Findings
Both processes are influenced by attractors.
Attractors undergo nonequilibrium phase transitions.
Connection established between Eden model and Ising model.
Abstract
Models of bacterial growth tend to be `irreversible', allowing for the number of bacteria in a colony to increase but not to decrease. By contrast, models of molecular self-assembly are usually `reversible', allowing for addition and removal of particles to a structure. Such processes differ in a fundamental way because only reversible processes possess an equilibrium. Here we show at mean-field level that dynamic trajectories of reversible and irreversible growth processes are similar in that both feel the influence of attractors, at which growth proceeds without limit but the intensive properties of the system are invariant. Attractors of both processes undergo nonequilibrium phase transitions as model parameters are varied, suggesting a unified way of describing reversible and irreversible growth. We also establish a connection at mean-field level between an irreversible model of…
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Taxonomy
TopicsAquatic and Environmental Studies · Elasticity and Wave Propagation · Mathematical Dynamics and Fractals
