Chiral run-and-tumble walker: transport and optimizing search

TL;DR

This paper investigates a non-Markovian chiral run-and-tumble particle in two dimensions, revealing how chirality influences transport properties and search efficiency, including an optimal tumbling bias for minimizing search time.

Contribution

It introduces a detailed analysis of a chiral run-and-tumble model, highlighting the impact of chirality on transport and search strategies, with novel insights into optimal tumbling bias.

Findings

Chirality enhances diffusion in the model.

Chirality induces looping trajectories.

An optimal tumbling bias minimizes search time.

Abstract

We study the statistical properties of a non-Markovian chiral run-and-tumble particle (CRTP) in two dimensions in continuous space and time. In our model, the possible orientations of the particle correspond to the four cardinal directions. The particle can reorient by turning left, right or reversing its direction of motion at different rates. We show how chirality manifests itself in the transport properties like the spatial moments of the marginal position distribution and the first-passage properties of a CRTP. Interestingly, we find that the chirality leads to enhanced diffusion and a \textit{looping} tendency in the trajectory space. Furthermore, our results show that chirality plays a pivotal role in the improvement of the search strategy -- notably, there exists an optimal bias in tumbling that minimizes the mean search time. This key observation can play a crucial role in determining how living systems efficiently search under non-equilibrium conditions.