Approximating 3D Navier-Stokes equations driven by space-time white noise

Rongchan Zhu, Xiangchan Zhu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

In this paper we study approximations to 3D Navier-Stokes (NS) equation driven by space-time white noise by paracontrolled distribution proposed in Ref. 13. A solution theory for this equation has been developed recently in Ref. 27 based on regularity structure theory and paracontrolled distribution. In order to make the approximating equation converge to 3D NS equation driven by space-time white noise, we should subtract some drift terms in approximating equations. These drift terms, which come from renormalizations in the solution theory, converge to the solution multiplied by some constant depending on approximations.

Original languageEnglish
Article number1750020
JournalInfinite Dimensional Analysis, Quantum Probability and Related Topics
Volume20
Issue number4
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Stochastic Navier-Stokes equation
  • paracontrolled distribution
  • regularity structure
  • renormalization
  • space-time white noise

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