Similarity of ensembles of trajectories of reversible and irreversible growth processes
arXiv:1603.06014 · doi:10.1103/PhysRevE.96.042126
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 growth (the magnetic Eden model) and the equilibrium Ising model, supporting the findings made by other authors using numerical simulations.
References in corpus (5)
- Reversible self-assembly of patchy particles into monodisperse icosahedral clusters
- Role of reversibility in viral capsid growth: A paradigm for self-assembly
- A classical nucleation theory description of active colloid assembly
- Growth-induced breaking and unbreaking of ergodicity in fully-connected spin systems
- The Magnetic Eden Model
Cited by in corpus (11)
- Rare behavior of growth processes via umbrella sampling of trajectories
- Giant leaps and long excursions: fluctuation mechanisms in systems with long-range memory
- Large deviations in the presence of cooperativity and slow dynamics
- Large deviations in models of growing clusters with symmetry-breaking transitions
- Varied phenomenology of models displaying dynamical large-deviation singularities
- Large Deviations Theory of Increasing Returns
- Finite-size and finite-time effects in large deviation functions near dynamical symmetry breaking transitions
- Long-ranged correlations in large deviations of local clustering
- Balancing conservative and disruptive growth in the voter model
- Mapping current and activity fluctuations in exclusion processes: consequences and open questions
- Cellular automata can classify data by inducing trajectory phase coexistence