English

Transition from Gaussian to non-Gaussian fluctuations for mean-field diffusions in spatial interaction

Probability 2020-01-16 v1 Adaptation and Self-Organizing Systems

Abstract

We consider a system of NN disordered mean-field interacting diffusions within spatial constraints: each particle θi\theta_i is attached to one site xix_i of a periodic lattice and the interaction between particles θi\theta_i and θj\theta_j decreases as xixjα| x_i-x_j|^{-\alpha} for α[0,1)\alpha\in[0,1). 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 α[0,12)\alpha\in[0,\frac{1}{2}), the fluctuations are Gaussian, governed by a linear SPDE, with scaling N\sqrt{N} whereas the fluctuations are deterministic with scaling N1αN^{1-\alpha} in the case α(12,1)\alpha\in(\frac{1}{2},1).

Keywords

Cite

@article{arxiv.1502.00532,
  title  = {Transition from Gaussian to non-Gaussian fluctuations for mean-field diffusions in spatial interaction},
  author = {Eric Luçon and Wilhelm Stannat},
  journal= {arXiv preprint arXiv:1502.00532},
  year   = {2020}
}

Comments

56 pages

R2 v1 2026-06-22T08:19:14.576Z