Stability of Stochastically Driven Couette Flow in 2D with Navier Boundary Conditions at high Reynolds number via Averaging Principle
Ryan Arbon, Jacob Bedrossian

TL;DR
This paper analyzes the stability of stochastically forced Couette flow in 2D Navier-Stokes equations at high Reynolds numbers, establishing an averaging principle that separates slow and fast modes and deriving a reduced long-term evolution equation.
Contribution
It introduces a novel averaging principle for stochastic Couette flow, deriving a reduced model for the slow modes and analyzing the stability threshold at high Reynolds numbers.
Findings
Averaging principle separates slow and fast modes in stochastic Couette flow.
Derived a closed nonlinear evolution equation for the slow modes.
Demonstrated stability behavior consistent with inviscid damping and enhanced dissipation.
Abstract
We characterize the behavior of stochastic Navier-Stokes on with Navier boundary conditions at high Reynolds number when initialized near Couette flow subject to small additive stochastic forcing. We take additive noise of strength , where has spatial correlation in and acts only on -independent modes of the vorticity, while has spatial correlation in a lower order, anisotropic, Sobolev space and acts on -dependent-modes. We take the initial -independent modes in the perturbation to be small in in a -independent sense, while the non-zero -modes are taken to be in . The parameter is taken to be . Letting solve the resulting perturbation equation, we split into the…
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Taxonomy
TopicsStochastic processes and financial applications · stochastic dynamics and bifurcation · Stability and Controllability of Differential Equations
