Exact solution of Dynamical Mean-Field Theory for a linear system with annealed disorder
arXiv:2405.05183 · doi:10.1088/1742-5468/adac3f
Abstract
We investigate a disordered multi-dimensional linear system in which the interaction parameters vary stochastically in time with defined temporal correlations. We refer to this type of disorder as "annealed", in contrast to quenched disorder in which couplings are fixed in time. We extend Dynamical Mean-Field Theory to accommodate annealed disorder and employ it to find the exact solution of the linear model in the limit of a large number of degrees of freedom. Our analysis yields analytical results for the non-stationary auto-correlation, the stationary variance, the power spectral density, and the phase diagram of the model. Interestingly, some unexpected features emerge upon changing the correlation time of the interactions. The stationary variance of the system and the critical variance of the disorder are generally found to be a non-monotonic function of the correlation time of the interactions. We also find that in some cases a re-entrant phase transition takes place when this correlation time is varied.
20 pages, 7 figures
References in corpus (12)
- Stability Criteria for Complex Ecosystems
- Emergence of structural and dynamical properties of ecological mutualistic networks
- Marginally Stable Equilibria in Critical Ecosystems
- Numerical implementation of dynamical mean field theory for disordered systems: application to the Lotka-Volterra model of ecosystems
- Dynamically evolved community size and stability of random Lotka-Volterra ecosystems
- Sparse species interactions reproduce abundance correlation patterns in microbial communities
- Characterising the nonequilibrium stationary states of Ornstein-Uhlenbeck processes
- Generalised Lotka-Volterra model with hierarchical interactions
- Consensus, polarisation and coexistence in a continuous opinion dynamics model with quenched disorder
- Incorporating Heterogeneous Interactions for Ecological Biodiversity
- Stability and dynamical properties of material flow systems on random networks
- Generating-functional analysis of random Lotka-Volterra systems: A step-by-step guide