Inertial dynamics of run-and-tumble particle

We study the dynamics of a single inertial run-and-tumble particle on a straight line. The motion of this particle is characterized by two intrinsic timescales, namely, an inertial and an active timescale. We show that interplay of these two times-scales leads to the emergence of four distinct regimes, characterized by different dynamical behavior of mean-squared displacement and survival probability. We analytically compute the position distributions in these regimes when the two timescales are well separated. We show that in the large-time limit, the distribution has a large deviation form and compute the corresponding large deviation function analytically. We also find the persistence exponents in the different regimes theoretically. All our results are supported with numerical simulations.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0250965
Citations
6
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
7.55

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article

Inertial dynamics of run-and-tumble particle

Urna Basu, Anupam Kundu, Debraj Dutta
6 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Micro and Nano Robotics
7.55
article

Inertial dynamics of run-and-tumble particle

Urna Basu, Anupam Kundu, Debraj Dutta
article en
6 citations

Abstract

We study the dynamics of a single inertial run-and-tumble particle on a straight line. The motion of this particle is characterized by two intrinsic timescales, namely, an inertial and an active timescale. We show that interplay of these two times-scales leads to the emergence of four distinct regimes, characterized by different dynamical behavior of mean-squared displacement and survival probability. We analytically compute the position distributions in these regimes when the two timescales are well separated. We show that in the large-time limit, the distribution has a large deviation form and compute the corresponding large deviation function analytically. We also find the persistence exponents in the different regimes theoretically. All our results are supported with numerical simulations.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(3)
Tata Institute of Fundamental Research (IN), International Centre for Theoretical Sciences (IN), S.N. Bose National Centre for Basic Sciences (IN)
Department of Atomic Energy, Government of India
Openalex Percentile: Top 3%
Micro and Nano Robotics
7.55
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