JOURNAL ARTICLE

Anomalous diffusion of self-propelled particles

Francisco J. SevillaGuillermo Chacón‐AcostaTrifce Sandev

Year: 2024 Journal:   Journal of Physics A Mathematical and Theoretical Vol: 57 (33)Pages: 335004-335004   Publisher: Institute of Physics

Abstract

Abstract The transport equation of active motion is generalised to consider time-fractional dynamics to describe the anomalous diffusion of self-propelled particles. In the present study, we consider an arbitrary active motion pattern modelled by a scattering function that defines the dynamics of the change of the self-propulsion direction. The exact probability density of the particle positions at a given time is obtained. From it, the time dependence of the firsts moments, i.e. the mean square displacement and the kurtosis for an arbitrary scattering function, are derived and analysed. Anomalous diffusion is found with a crossover of the scaling exponent from 2 α in the short-time regime to α in the long-time one, 0 < α < 1 being the order of the fractional derivative considered. It is shown that the exact solution found satisfies a fractional diffusion equation that accounts for the non-local and retarded effects of the Laplacian of the probability density function through a coupled temporal and spatial memory function. Such a memory function holds the complete information of the active-motion pattern. In the long-time regime, space and time are decoupled in the memory function, and the time fractional telegrapher’s equation is recovered. The theoretical framework presented here can be applied as model of active motion that exhibits anomalous diffusion.

Keywords:
Mean squared displacement Probability density function Anomalous diffusion Physics Statistical physics Function (biology) Mathematical analysis Mathematics Quantum mechanics

Metrics

6
Cited By
3.25
FWCI (Field Weighted Citation Impact)
85
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Thermodynamics and Statistical Mechanics
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Fractional Differential Equations Solutions
Physical Sciences →  Mathematics →  Modeling and Simulation
Sports Dynamics and Biomechanics
Physical Sciences →  Engineering →  Biomedical Engineering

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