Transition from Gaussian to non-Gaussian fluctuations for mean-field diffusions in spatial interaction
arXiv:1502.00532 · doi:10.1214/16-AAP1194
Abstract
We consider a system of disordered mean-field interacting diffusions within spatial constraints: each particle is attached to one site of a periodic lattice and the interaction between particles and decreases as for . In a previous work, it was shown that the empirical measure of the particles converges in large population to the solution of a nonlinear partial differential equation of McKean-Vlasov type. The purpose of the present paper is to study the fluctuations associated to this convergence. We exhibit in particular a phase transition in the scaling and in the nature of the fluctuations: when , the fluctuations are Gaussian, governed by a linear SPDE, with scaling whereas the fluctuations are deterministic with scaling in the case .
56 pages
References in corpus (7)
- Transition from spatial coherence to incoherence in coupled chaotic systems
- Topological and Dynamical Complexity of Random Neural Networks
- Global solvability of a networked integrate-and-fire model of McKean-Vlasov type
- Mean field limit for disordered diffusions with singular interactions
- Synchronization of oscillators with long range power law interactions
- One-dimensional lattice of oscillators coupled through power-law interactions: Continuum limit and dynamics of spatial Fourier modes
- Limits and dynamics of stochastic neuronal networks with random heterogeneous delays
Cited by in corpus (5)
- Mean Field Limits for Interacting Diffusions in a Two-Scale Potential
- Interacting diffusions on random graphs with diverging degrees: hydrodynamics and large deviations
- Dynamics of the Desai-Zwanzig model in multi-well and random energy landscapes
- Large deviations for interacting diffusions with path-dependent McKean-Vlasov limit
- On a toy network of neurons interacting through their dendrites