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

Ryan Arbon, Jacob Bedrossian

Abstract

We characterize the behavior of stochastic Navier-Stokes on $\mathbb{T} \times [-1,1]$ 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 $ν^{5/6} ΦdV_t + ν^{2/3+α} ΨdW_t$, where $ΦdV_t$ has spatial correlation in $H_0^3$ and acts only on $x$-independent modes of the vorticity, while $ΨdW_t$ has spatial correlation in a lower order, anisotropic, Sobolev space $\mathcal{H}$ and acts on $x$-dependent-modes. We take the initial $x$-independent modes in the perturbation to be small in $H_0^3$ in a $ν$-independent sense, while the non-zero $x$-modes are taken to be $O(ν^{1/2 + α})$ in $\mathcal{H}$. The parameter $α$ is taken to be $α> 1/12$. Letting $ω$ solve the resulting perturbation equation, we split $ω$ into the zero $x$-modes $ω_0$ and the non-zero $x$-modes $ω_{\neq}$. We demonstrate an averaging principle holds wherein $ω_{\neq}$ is the fast variable and $ω_0$ is the slow variable, deriving a closed nonlinear evolution equation on $ω_0$ that holds over long time-scales (while the fast $ω_{\neq}$ modes solve a `pseudo-linearized' equation to leading order with dynamics dominated by inviscid damping and enhanced dissipation). This work can also be considered the stochastic analogue of the stability threshold problem for shear flows. Furthermore, we explain the connections to the Stochastic Structural Stability Theory (S3T) in the physics literature.

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

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 zero -modes and the non-zero -modes . We demonstrate an averaging principle holds wherein is the fast variable and is the slow variable, deriving a closed nonlinear evolution equation on that holds over long time-scales (while the fast modes solve a `pseudo-linearized' equation to leading order with dynamics dominated by inviscid damping and enhanced dissipation). This work can also be considered the stochastic analogue of the stability threshold problem for shear flows. Furthermore, we explain the connections to the Stochastic Structural Stability Theory (S3T) in the physics literature.

Paper Structure

This paper contains 20 sections, 30 theorems, 301 equations.

Key Result

Theorem 1.2

Suppose that $\alpha > 1/12$, $\beta > 0$, and $\gamma \in [0, 1/3)$ satisfy scaling_constraint, the forcing satisfies noise_assumptions, and the compatibility condition $\mathcal{W}_{in}(y=\pm 1) = 0$ holds. Fix the regularity parameters $m \in (2/3,1)$, $\theta \in (0,1/2]$, and $a \in (0,1)$, and then

Theorems & Definitions (54)

  • Definition 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Remark 1.4
  • Remark 1.5
  • Remark 1.6
  • Corollary 1.7
  • Proposition 1.8
  • Proposition 1.9
  • Proposition 1.10
  • ...and 44 more