Superdiffusion and anomalous regularization in self-similar random incompressible flows
Scott Armstrong, Ahmed Bou-Rabee, Tuomo Kuusi

TL;DR
This paper investigates the long-time behavior of particles in self-similar, incompressible random flows, revealing superdiffusive motion and anomalous regularization effects through a renormalization group approach.
Contribution
It provides a rigorous proof of quenched superdiffusion and anomalous regularization in self-similar random flows using a novel renormalization group scheme.
Findings
Displacement variance grows like t^{2/(2- ext{gamma})} in the perturbative regime.
Effective diffusivity scales as r^{ ext{gamma}} across scales.
Solutions to the elliptic equation are Hölder continuous with exponent close to 1.
Abstract
We study the long-time behavior of a particle in , , subject to molecular diffusion and advection by a random incompressible flow. The velocity field is the divergence of a stationary random stream matrix with positive Hurst exponent , so the resulting random environment is multiscale and self-similar. In the perturbative regime , we prove quenched power-law superdiffusion: for a typical realization of the environment, the displacement variance at time grows like , the scaling predicted by renormalization group heuristics. We also identify the leading prefactor up to a random (quenched) relative error of order . The proof implements a Wilsonian renormalization group scheme at the level of the infinitesimal generator $\nabla \cdot (\nu I_d + \mathbf{k} )…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and statistical mechanics · Geometric Analysis and Curvature Flows
