Adaptation of Autocatalytic Fluctuations to Diffusive Noise
arXiv:cond-mat/0007097 · doi:10.1103/PhysRevE.63.021103
Abstract
Evolution of a system of diffusing and proliferating mortal reactants is analyzed in the presence of randomly moving catalysts. While the continuum description of the problem predicts reactant extinction as the average growth rate becomes negative, growth rate fluctuations induced by the discrete nature of the agents are shown to allow for an active phase, where reactants proliferate as their spatial configuration adapts to the fluctuations of the catalysts density. The model is explored by employing field theoretical techniques, numerical simulations and strong coupling analysis. For d<=2, the system is shown to exhibits an active phase at any growth rate, while for d>2 a kinetic phase transition is predicted. The applicability of this model as a prototype for a host of phenomena which exhibit self organization is discussed.
6 pages 6 figure
References in corpus (1)
Cited by in corpus (13)
- Power Laws of Wealth, Market Order Volumes and Market Returns
- A variational approach to the stochastic aspects of cellular signal transduction
- Transition Phenomena Induced by Internal Noise and Quasi-absorbing State
- The interplay between discrete noise and nonlinear chemical kinetics in a signal amplification cascade
- Microscopic Study Reveals the Singular Origins of Growth
- Fluctuations and stability in front propagation
- Branching diffusions, superdiffusions and random media
- Switching Dynamics in Reaction Networks Induced by Molecular Discreteness
- How do life, economy and other complex systems escape the heat death?
- Exponential growth for self-reproduction in a catalytic reaction network: relevance of a minority molecular species and crowdedness
- Diffusion and Multiplication in Random Media
- Monte Carlo simulation of the transmission of measles: Beyond the mass action principle
- Unbounded autocatalytic growth on diffusive substrate: the extinction transition