Stochastic dynamics of active swimmers in linear flows

TL;DR

This paper develops a theoretical framework to analyze the stochastic long-time dynamics of active swimmers in linear flows, accounting for translational and rotational diffusion, and demonstrates how swimming enhances displacement compared to passive particles.

Contribution

It introduces a comprehensive model for active particle motion in linear flows, including effects of rotary diffusion and run-and-tumble dynamics, extending previous passive particle analyses.

Findings

Active swimming increases mean-square displacement by orders of magnitude.

Long-time scalings for active and passive particles are similar, with active particles having larger coefficients.

In solid-body rotation, active and passive diffusion are equivalent, showing flow independence.

Abstract

Most classical work on the hydrodynamics of low-Reynolds-number swimming addresses deterministic locomotion in quiescent environments. Thermal fluctuations in fluids are known to lead to a Brownian loss of the swimming direction. As most cells or synthetic swimmers are immersed in external flows, we consider theoretically in this paper the stochastic dynamics of a model active particle (a self-propelled sphere) in a steady general linear flow. The stochasticity arises both from translational diffusion in physical space, and from a combination of rotary diffusion and run-and-tumble dynamics in orientation space. We begin by deriving a general formulation for all components of the long-time mean square displacement tensor for a swimmer with a time-dependent swimming velocity and whose orientation decorrelates due to rotary diffusion alone. This general framework is applied to obtain the convectively enhanced mean-squared displacements of a steadily-swimming particle in three canonical linear flows (extension, simple shear, and solid-body rotation). We then show how to extend our results to the case where the swimmer orientation also decorrelates on account of run-and-tumble dynamics. Self-propulsion in general leads to the same long-time temporal scalings as for passive particles in linear flows but with increased coefficients. In the particular case of solid-body rotation, the effective long-time diffusion is the same as that in a quiescent fluid, and we clarify the lack of flow-dependence by briefly examining the dynamics in elliptic linear flows. By comparing the new active terms with those obtained for passive particles we see that swimming can lead to an enhancement of the mean-square displacements by orders of magnitude, and could be relevant for biological organisms or synthetic swimming devices in fluctuating environmental or biological flows.