Nonuniform mixing

TL;DR

This paper explores nonuniform mixing in fluid systems where traditional assumptions do not hold, proposing f-divergence and L1 norm as effective measures for characterizing and quantifying mixing behavior.

Contribution

It introduces the use of f-divergence and L1 norm for measuring nonuniform mixing, providing a more reliable approach than variance-based methods in complex scenarios.

Findings

f-divergence and L1 norm decay monotonically in nonuniform mixing

Efficient nonuniform mixers differ significantly from uniform mixers

Traditional variance measures may not accurately reflect mixing in nonuniform scenarios

Abstract

Fluid mixing usually involves the interplay between advection and diffusion, which together cause any initial distribution of passive scalar to homogenize and ultimately reach a uniform state. However, this scenario only holds when the velocity field is nondivergent and has no normal component to the boundary. If either condition is unmet, such as for active particles in a bounded region, floating particles, or for filters, then the ultimate state after a long time is not uniform, and may be time dependent. We show that in those cases of nonuniform mixing it is preferable to characterize the degree of mixing in terms of an f-divergence, which is a generalization of relative entropy, or to use the $L^1$ norm. Unlike concentration variance ($L^2$ norm), the f-divergence and $L^1$ norm always decay monotonically, even for nonuniform mixing, which facilitates measuring the rate of mixing. We show by an example that flows that mix well for the nonuniform case can be drastically different from efficient uniformly mixing flows.