@article{3be63b3857cf4f74ba7fa9aaeb21c267,
title = "Approximations of stochastic 3d tamed navier-stokes equations",
abstract = "In this paper, we are concerned with 3D tamed Navier-Stokes equations with periodic boundary conditions, which can be viewed as an approximation of the classical 3D Navier-Stokes equations. We show that the strong solution of 3D tamed Navier-Stokes equations driven by Poisson random measure converges weakly to the strong solution of 3D tamed Navier-Stokes equations driven by Gaussian noise on the state space D([0; T];H1).",
keywords = "3D tamed Navier-Stokes equations, Approximations, Gaussian noise, Poisson random measure, Strong solution",
author = "Xuhui Peng and Rangrang Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 American Institute of Mathematical Sciences. All rights reserved.",
year = "2020",
month = dec,
doi = "10.3934/cpaa.2020241",
language = "English",
volume = "19",
pages = "5337--5365",
journal = "Communications on Pure and Applied Analysis",
issn = "1534-0392",
publisher = "American Institute of Mathematical Sciences",
number = "12",
}