A Reduced Model for a Phoretic Swimmer

TL;DR

This paper introduces a simplified two-mode model for a 2D autophoretic particle that captures its motile behaviors, enabling analytical and efficient numerical analysis of complex motions like straight, circular, and chaotic trajectories.

Contribution

A novel reduced model using only two Fourier modes is derived, simplifying the analysis of phoretic swimmer dynamics while preserving essential behaviors.

Findings

The reduced model accurately predicts straight and circular motions analytically.

Complex behaviors such as chaos can be efficiently studied numerically with the reduced model.

The approach is extendable to 3D and other chemically active locomotion systems.

Abstract

We consider a 2D model of an autophoretic particle in which the particle has a circular shape and emits/absorbs a solute that diffuses and is advected by the suspending fluid. Beyond a certain emission/absorption rate (characterized by a dimensionless P\'eclet number, $Pe$) the particle is known to undergo a bifurcation from a non motile to a motile state, with different trajectories, going from a straight to circular and to a chaotic motion by progressively increasing $Pe$. From the full model involving solute diffusion and advection, we derive a reduced closed model which involves only two time-dependent amplitudes $C_1(t)$ and $C_2(t)$ corresponding to the first two Fourier modes of the solute concentration field. This model consists of two coupled nonlinear ordinary differential equations for $C_1$ and $C_2$ and presents several great advantages:(i) the straight and circular motions can be handled fully analytically, (ii) complex motions such as chaos can be analyzed numerically very efficiently in comparison to the numerically expensive full model involving partial differential equations, (iii) the reduced model has a universal form dictated only by symmetries, (iv) the model can be extended to higher Fourier modes. The derivation method is exemplified for a 2D model, for simplicity, but can easily be extended to 3D, not only for the presently selected phoretic model, but also for any model in which chemical activity triggers locomotion. A typical example can be found, for example, in the field of cell motility involving acto-myosin kinetics. This strategy offers an interesting way to cope with swimmers on the basis of ordinary differential equations, allowing for analytical tractability and efficient numerical treatment.