Anisotropic run-and-tumble-turn dynamics

Benjamin Loewe*, Timofey Kozhukhov, Tyler N. Shendruk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Run-and-tumble processes successfully model several living systems. While studies have typically focused on particles with isotropic tumbles, recent examples exhibit “tumble-turns", in which particles undergo 90° tumbles and so possess explicitly anisotropic dynamics. We study the consequences of
such tumble-turn anisotropicity at both short and long-time scales. We model run-and-tumble-turn particles as self-propelled particles subjected to an angular potential that favors directions of movement parallel to Cartesian axes. Using agent-based simulations, we study the effects of the interplay between rotational diffusion and an aligning potential on the particles’ trajectories, which
leads to the right-angled turns. We demonstrate that the long-time effect is to alter the tumble-turn time, which governs the long-time dynamics. In particular, when normalized by this timescale, trajectories become independent of the underlying details of the potential. As such, we develop a simplified continuum theory, which quantitatively agrees with agent-based simulations. We find that the purely diffusive hydrodynamic limit still exhibits anisotropic features at intermediate times and conclude that the transition to diffusive dynamics precedes the transition to isotropic dynamics.
By considering short-range repulsive and alignment particle-particle interactions, we show how the
anisotropic features of a single particle are inherited by global order of the system. We hope this
work will shed light on how active systems can extend local anisotropic properties to macroscopic
scales, which might be important in biological processes occurring in anisotropic environments
Original languageEnglish
Pages (from-to)1133-1150
Number of pages18
JournalSoft Matter
Volume20
Issue number5
DOIs
Publication statusPublished - 14 Dec 2023

Keywords / Materials (for Non-textual outputs)

  • cond-mat.soft

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