English

Analysis of a Stratified Kraichnan Flow

Probability 2017-11-30 v2

Abstract

We consider the stochastic convection-diffusion equation tu(t,x)=νΔu(t,x)+V(t,x1)x2u(t,x), \partial_t u(t\,,{\bf x}) =\nu\Delta u(t\,,{\bf x}) + V(t\,,x_1)\partial_{x_2}u(t\,,{\bf x}), for t>0t>0 and x=(x1,x2)R2{\bf x}=(x_1\,,x_2)\in\mathbb{R}^2, subject to θ0\theta_0 being a nice initial profile. Here, the velocity field VV is assumed to be centered Gaussian with covariance structure Cov[V(t,a),V(s,b)]=δ0(ts)ρ(ab)for all s,t0 and a,bR, \text{Cov}[V(t\,,a)\,,V(s\,,b)]= \delta_0(t-s)\rho(a-b)\qquad\text{for all $s,t\ge0$ and $a,b\in\mathbb{R}$}, where ρ\rho is a continuous and bounded positive-definite function on R\mathbb{R}. We prove a quite general existence/uniqueness/regularity theorem, together with a probabilistic representation of the solution that represents uu as an expectation functional of an exogenous infinite-dimensional Brownian motion. We use that probabilistic representation in order to study the It\^o/Walsh solution, when it exists, and relate it to the Stratonovich solution which is shown to exist for all ν>0\nu>0. Our a priori estimates imply the physically-natural fact that, quite generally, the solution dissipates. In fact, very often, \begin{equation} P\left\{\sup_{|x_1|\leq m}\sup_{x_2\in\mathbb{R}} |u(t\,,{\bf x})| = O\left(\frac{1}{\sqrt t}\right)\qquad\text{as tt\to\infty} \right\}=1\qquad\text{for all m>0m>0}, \end{equation} and the O(1/t)O(1/\sqrt t) rate is shown to be unimproveable. Our probabilistic representation is malleable enough to allow us to analyze the solution in two physically-relevant regimes: As tt\to\infty and as ν0\nu\to 0. Among other things, our analysis leads to a "macroscopic multifractal analysis" of the rate of decay in the above equation in terms of the reciprocal of the Prandtl (or Schmidt) number, valid in a number of simple though still physically-relevant cases.

Keywords

Cite

@article{arxiv.1711.01650,
  title  = {Analysis of a Stratified Kraichnan Flow},
  author = {Jingyu Huang and Davar Khoshnevisan},
  journal= {arXiv preprint arXiv:1711.01650},
  year   = {2017}
}