Ergodic properties of highly degenerate 2D stochastic Navier-Stokes equations

dc.contributor.author

Hairer, Martin

dc.contributor.author

Mattingly, Jonathan C

dc.date.accessioned

2022-04-01T13:50:59Z

dc.date.available

2022-04-01T13:50:59Z

dc.date.issued

2004

dc.date.updated

2022-04-01T13:50:58Z

dc.description.abstract

This Note presents the results from "Ergodicity of the degenerate stochastic 2D Navier-Stokes equation"; by M. Hairer and J.C. Mattingly. We study the Navier-Stokes equation on the two-dimensional torus when forced by a finite dimensional Gaussian white noise and give conditions under which the system is ergodic. In particular, our results hold for specific choices of four-dimensional Gaussian white noise. © 2004 Académie des sciences. Published by Elsevier SAS. All rights reserved.

dc.identifier.issn

1631-073X

dc.identifier.issn

1778-3569

dc.identifier.uri

https://hdl.handle.net/10161/24755

dc.language

en

dc.publisher

Elsevier BV

dc.relation.ispartof

Comptes Rendus Mathématique. Académie des Sciences. Paris

dc.relation.isversionof

10.1016/j.crma.2004.09.035

dc.subject

Science & Technology

dc.subject

Physical Sciences

dc.subject

Mathematics

dc.subject

PDES

dc.subject

DYNAMICS

dc.title

Ergodic properties of highly degenerate 2D stochastic Navier-Stokes equations

dc.type

Journal article

duke.contributor.orcid

Mattingly, Jonathan C|0000-0002-1819-729X

pubs.begin-page

879

pubs.end-page

882

pubs.issue

12

pubs.organisational-group

Duke

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Mathematics

pubs.organisational-group

Statistical Science

pubs.publication-status

Published

pubs.volume

339

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