A stochastic-Lagrangian particle system for the Navier-Stokes equations
Gautam Iyer, Jonathan Mattingly

TL;DR
This paper introduces a stochastic-Lagrangian particle system for Navier-Stokes equations, proves its global existence in 2D, and demonstrates convergence to the classical solution as the number of particles increases.
Contribution
It develops a particle-based stochastic formulation of Navier-Stokes, establishes global solutions in 2D, and shows convergence of the system to the classical equations as particle number grows.
Findings
Global solutions exist in 2D for initial data in Hölder spaces.
The system converges to Navier-Stokes solutions as N approaches infinity.
For fixed N, the energy decays roughly by 1/N over time.
Abstract
This paper is based on a formulation of the Navier-Stokes equations developed by P. Constantin and the first author (\texttt{arxiv:math.PR/0511067}, to appear), where the velocity field of a viscous incompressible fluid is written as the expected value of a stochastic process. In this paper, we take copies of the above process (each based on independent Wiener processes), and replace the expected value with times the sum over these copies. (We remark that our formulation requires one to keep track of stochastic flows of diffeomorphisms, and not just the motion of particles.) We prove that in two dimensions, this system of interacting diffeomorphisms has (time) global solutions with initial data in the space which consists of differentiable functions whose first derivative is H\"older continuous (see Section \ref{sGexist}…
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