English

Metastable states for an aggregation model with noise

Analysis of PDEs 2016-09-30 v2

Abstract

We study the long-time effect of noise on pattern formation for the aggregation model. We consider aggregation kernels that generate patterns consisting of two delta-concentrations. Without noise, there is a one-parameter family of admissible equilibria that consist of two concentrations whose mass is not necessary equal. We show that when a small amount of noise is added, the heavier concentration "leaks" its mass towards the lighter concentration over a very long time scale, eventually resulting in the equilibration of the two masses. We use exponentially small asymptotics to derive the long-time ODE's that quantify this mass exchange. Our theory is validated using full numerical simulations of the original model -- both of the original stochastic particle system and its PDE limit. Our formal computations show that adding noise destroys the degeneracy in the equilibrium solution and leads to a unique symmetric steady state.

Keywords

Cite

@article{arxiv.1604.00735,
  title  = {Metastable states for an aggregation model with noise},
  author = {Joep H. M. Evers and Theodore Kolokolnikov},
  journal= {arXiv preprint arXiv:1604.00735},
  year   = {2016}
}
R2 v1 2026-06-22T13:24:19.974Z