Ergodicity for SPDEs driven by divergence-free transport noise

Fuente: arXiv
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Main Authors: Gess, Benjamin, Gvalani, Rishabh S., Martini, Adrian
Format: Preprint
Published: 2026
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author Gess, Benjamin
Gvalani, Rishabh S.
Martini, Adrian
author_facet Gess, Benjamin
Gvalani, Rishabh S.
Martini, Adrian
contents We study the ergodic behaviour of the McKean-Vlasov equations driven by common, divergence-free transport noise. In particular, we show that in dimension $d\geq 2$, 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_22056
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Ergodicity for SPDEs driven by divergence-free transport noise
Gess, Benjamin
Gvalani, Rishabh S.
Martini, Adrian
Probability
Analysis of PDEs
Dynamical Systems
37A25 (Primary) 37H15, 35R60, 60H15, 76F25 (Secondary)
We study the ergodic behaviour of the McKean-Vlasov equations driven by common, divergence-free transport noise. In particular, we show that in dimension $d\geq 2$, 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.
title Ergodicity for SPDEs driven by divergence-free transport noise
topic Probability
Analysis of PDEs
Dynamical Systems
37A25 (Primary) 37H15, 35R60, 60H15, 76F25 (Secondary)
url https://arxiv.org/abs/2601.22056