TY - JOUR
T1 - Large deviations for stochastic tamed 3D Navier-Stokes equations
AU - Röckner, Michael
AU - Zhang, Tusheng
AU - Zhang, Xicheng
PY - 2010/4
Y1 - 2010/4
N2 - In this paper, using weak convergence method, we prove a large deviation principle of Freidlin-Wentzell type for the stochastic tamed 3D Navier-Stokes equations driven by multiplicative noise, which was investigated in (Röckner and Zhang in Probab. Theory Relat. Fields 145(1-2), 211-267, 2009).
AB - In this paper, using weak convergence method, we prove a large deviation principle of Freidlin-Wentzell type for the stochastic tamed 3D Navier-Stokes equations driven by multiplicative noise, which was investigated in (Röckner and Zhang in Probab. Theory Relat. Fields 145(1-2), 211-267, 2009).
KW - Large deviation
KW - Stochastic tamed 3D Navier-Stokes equation
KW - Weak convergence method
UR - http://www.scopus.com/inward/record.url?scp=77952573027&partnerID=8YFLogxK
U2 - 10.1007/s00245-009-9089-6
DO - 10.1007/s00245-009-9089-6
M3 - Article
AN - SCOPUS:77952573027
SN - 0095-4616
VL - 61
SP - 267
EP - 285
JO - Applied Mathematics and Optimization
JF - Applied Mathematics and Optimization
IS - 2
ER -