Large Deviations for Stochastic Tamed 3D Navier-Stokes Equations
By Michael Röckner, Tusheng Zhang, Xicheng Zhang. 2010
108 citations recorded by the source corpus.
Subfields: Applied Mathematics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/371002004df1192c96ba11eb61eda0be59ea3bc4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Wei Liu
- Michael Röckner
- Paul Dupuis
- A. Budhiraja
- Jiang Chen
- Markus Fischer
- Feng-Yu Wang
- Tusheng Zhang
In Finance
- Wei Liu
- A. Budhiraja
- Paul Dupuis
- Michael Röckner
- Jiang Chen
- Tusheng Zhang
- Markus Fischer
- Xicheng Zhang
In Management Science and Operations Research
Citations in the corpus
- Local and global well-posedness of SPDE with generalized coercivity conditions☆ (2012, methodology): “In this part we consider a tamed version of the (stochastic) 3D Navier-Stokes equation, which was proposed recently in [45, 46] (see also [44, 43]).”
- Large Deviations for Stochastic Partial Differential Equations Driven by a Poisson Random Measure (2012, methodology): “In recent years an approach based on certain variational representation formulas for moments of nonnegative functionals of Brownian motions [7] has been increasingly used for the study of the small noise large deviation problem for Brownian motion driven infinite dimensional systems [2, 7, 8, 10, 13”
- Large deviation properties of weakly interacting processes via weak convergence methods (2010, background): “A small selection is [14, 29, 30, 31] see [8] for a more complete list.”
- Well-posedness of stochastic partial differential equations with Lyapunov condition (2013, methodology): “[31–33]), one can verify the growth condition in [23,22] if we use the following Gelfand triple: V := H2 ⊆ H := H1 ⊆ V ∗.”