Exponential ergodicity for stochastic Burgers and 2D Navier–Stokes equations
By B. Goldys, Bohdan Maslowski. 2005
69 citations recorded by the source corpus.
Subfields: Applied Mathematics, Control and Systems Engineering, Finance
View Paper: https://www.semanticscholar.org/paper/4980652ca79c9948e5b647e0289f60b81a148216
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
- Martin Hairer
- Arnaud Debussche
- Jonathan C. Mattingly
- Giuseppe Da Prato
- Jerzy Zabczyk
- Tomasz Komorowski
- Michael Röckner
- Enrico Priola
In Control and Systems Engineering
- Arnaud Debussche
- Martin Hairer
- Jonathan C. Mattingly
- Giuseppe Da Prato
- C. Odasso
- Michael Röckner
- Xicheng Zhang
- M. Scheutzow
In Finance
- Martin Hairer
- Arnaud Debussche
- Jonathan C. Mattingly
- Michael Röckner
- Massimiliano Gubinelli
- M. Scheutzow
- Jerzy Zabczyk
- Peter K. Friz
Citations in the corpus
- Ergodicity Results for the Stochastic Navier–Stokes Equations: An Introduction (2013, methodology): “Then, these arguments were generalized in several directions and the theory was extended to many other equations (see for instance [23], [35], [37], [43], [41], [44], [45] , [46], [56], [57], [63]).”
- Spectral gaps in Wasserstein distances and the 2D stochastic Navier–Stokes equations (2006, background): “This norm can still be used in the infinite-dimensional setting provided that the driving noise is sufficiently nondegenerate; see, for example, [9] for a general theory and [19] for a recent ergodicity result on the stochastic twodimensional Navier–Stokes equation.”