Uniform approximation of 2$d$ Navier-Stokes equation by stochastic interacting particle systems
Franco Flandoli, Christian Olivera, and Marielle Simon

TL;DR
This paper demonstrates that a system of stochastic differential equations modeling interacting particles can uniformly approximate the 2D Navier-Stokes equation in vorticity form, using a semigroup approach.
Contribution
It introduces a novel stochastic particle system that converges uniformly to the 2D Navier-Stokes solution, providing a new probabilistic approximation method.
Findings
Empirical process converges uniformly in time and space to Navier-Stokes solution.
Uses a mollified empirical process for convergence.
Employs a semigroup approach for proofs.
Abstract
We consider an interacting particle system modeled as a system of stochastic differential equations driven by Brownian motions. We prove that the (mollified) empirical process converges, uniformly in time and space variables, to the solution of the two-dimensional Navier-Stokes equation written in vorticity form. The proofs follow a semigroup approach.
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Taxonomy
TopicsStochastic processes and financial applications · Navier-Stokes equation solutions · Stochastic processes and statistical mechanics
