English

Ergodicity for SPDEs driven by divergence-free transport noise

Probability 2026-01-30 v1 Analysis of PDEs Dynamical Systems

Abstract

We study the ergodic behaviour of the McKean-Vlasov equations driven by common, divergence-free transport noise. In particular, we show that in dimension d2d\geq 2, if the noise is mixing and sufficiently strong it can enforce the uniqueness of invariant probability measures, even if the deterministic part of equation has multiple steady states.

Keywords

Cite

@article{arxiv.2601.22056,
  title  = {Ergodicity for SPDEs driven by divergence-free transport noise},
  author = {Benjamin Gess and Rishabh S. Gvalani and Adrian Martini},
  journal= {arXiv preprint arXiv:2601.22056},
  year   = {2026}
}