Dynamics of individual active elastic filaments with chiral self-propulsion
Chanania Steinbock, Daniel A. Beller
TL;DR
The paper develops a planar, overdamped continuum model for one-dimensional elastic filaments subjected to a chiral active force at angle $\alpha$ to the tangent, leading to a pair of coupled sixth-order nonlinear PDEs for the intrinsic stretch $u(s)$ and scaled curvature $w(s)$. It identifies stationary constant-curvature solutions, derives their rotation rates, and performs a linear stability analysis to map stable regions in parameter space, complemented by nonlinear simulations. The results show coexisting straight and circular-arc states and reveal nonuniform, time-periodic dynamics under certain conditions, illustrating rich single-filament behavior that can underpin observed multi-stability in gliding assays. The framework provides a foundation for including stochastic forces or external potentials and for extending to more complex active-matter systems, offering a mechanistic lens on chiral active filaments and their potential switching between conformations.
Abstract
We study the over-damped dynamics of individual one-dimensional elastic filaments subjected to a chiral active force which propels each point of the filament at a fixed angle relative to the tangent vector of the filament at that point. Such a model is a reasonable starting point for describing the behavior of polymers such as microtubules in gliding assay experiments. We derive sixth-order nonlinear coupled partial differential equations for the intrinsic properties of the filament, namely, its curvature and metric, and show that these equations are capable of supporting multiple different stationary solutions in a co-moving frame, i.e. that chiral active elastic filaments exhibit dynamic multi-stability in their shapes. A linear stability analysis of these solutions is carried out to determine which solutions are stable and a brief analysis of the time-dependent approach to stationary shape is considered. Finally, simulations are presented which confirm many of our predictions while also revealing additional complexity.
