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Spatial Smoothness of the Stationary Solutions of the $3D$ Navier-Stokes Equations


 
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1. Title Title of document Spatial Smoothness of the Stationary Solutions of the $3D$ Navier-Stokes Equations
 
2. Creator Author's name, affiliation, country Cyril Odasso; ENS Cachan, Ker Lann
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Stochastic three-dimensional Navier-Stokes equations, invariant measure,
 
3. Subject Subject classification 35Q30 ; 76D05
 
4. Description Abstract Abstract. We consider stationary solutions of the three dimensional Navier--Stokes equations (NS3D) with periodic boundary conditions and driven by an external force which might have a deterministic and a random part. The random part of the force is white in time and very smooth in space. We investigate smoothness properties in space of the stationary solutions. Classical technics for studying smoothness of stochastic PDEs do not seem to apply since global existence of strong solutions is not known. We use the Kolmogorov operator and Galerkin approximations. We first assume that the noise has spatial regularity of order $p$ in the $L^2$ based Sobolev spaces, in other words that its paths are in $H^p$. Then we prove that at each fixed time the law of the stationary solutions is supported by $H^{p+1}$. Then, using a totally different technic, we prove that if the noise has Gevrey regularity then at each fixed time, the law of a stationary solution is supported by a Gevrey space. Some informations on the Kolmogorov dissipation scale are deduced.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) ECOLE NORMALE SUPÉERIEURE DE CACHAN, ANTENNE DE BRETAGNE; IRMAR, UMR 6625 DU CNRS, CAMPUS DE BEAULIEU,
 
7. Date (YYYY-MM-DD) 2006-08-10
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/336
 
10. Identifier Digital Object Identifier 10.1214/EJP.v11-336
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 11
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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