We consider the stochastic convection-diffusion equation for and , subject to being a nice initial profile. Here, the velocity field is assumed to be centered Gaussian with covariance structure where is a continuous and bounded positive-definite function on . We prove a quite general existence/uniqueness/regularity theorem, together with a probabilistic representation of the solution that represents 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 . 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} |u(t,,{\bf x})| = O\left(\frac{1}{\sqrt t}\right)\qquad \right}=1\qquad, \end{equation} and the 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 and as $\nu\to 0$. 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.

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