Probability & incompressible Navier-Stokes equations: An overview of some recent developments
arXiv:math/0511266 · doi:10.1214/154957805100000078
Abstract
This is largely an attempt to provide probabilists some orientation to an important class of non-linear partial differential equations in applied mathematics, the incompressible Navier-Stokes equations. Particular focus is given to the probabilistic framework introduced by LeJan and Sznitman [Probab. Theory Related Fields 109 (1997) 343-366] and extended by Bhattacharya et al. [Trans. Amer. Math. Soc. 355 (2003) 5003-5040; IMA Vol. Math. Appl., vol. 140, 2004, in press]. In particular this is an effort to provide some foundational facts about these equations and an overview of some recent results with an indication of some new directions for probabilistic consideration.
Published at http://dx.doi.org/10.1214/154957805100000078 in the Probability Surveys (http://www.i-journals.org/ps/) by the Institute of Mathematical Statistics (http://www.imstat.org)
References in corpus (1)
Cited by in corpus (10)
- A stochastic-Lagrangian approach to the Navier--Stokes equations in domains with boundary
- On blow-up "twistors" for the Navier--Stokes equations in : a view from reaction-diffusion theory
- Poisson-Vlasov in a strong magnetic field: A stochastic solution approach
- Stochastic solutions and singular partial differential equations
- A stochastic approach to the solution of magnetohydrodynamic equations
- Superprocesses on ultradistributions
- On global solutions and blow-up for Kuramoto-Sivashinsky-type models, and well-posed Burnett equations
- Rooted trees for 3d Navier-Stokes equation
- Brownian and fractional polymers with self-repulsion
- A probabilistic representation for the solutions to some non-linear PDEs using pruned branching trees