Giant Fluctuations in Self-Propelled Particles with Age-Dependent Switching
arXiv:2606.22209 · doi:10.1088/1742-5468/ae937c
Abstract
We investigate the transport and fluctuation properties of self-propelled particles whose motion is governed by an age-dependent phase-switching mechanism. The dynamics alternate between a Markovian downstream phase with a constant switching probability and a semi-Markovian upstream phase in which the age-dependent hazard probability decays with the internal clock , representing persistent orientation. The time-averaged velocity, as an order parameter, shows a continuous transition at which separates an upstream-dominated ballistic regime () from an ergodic diffusive regime (). Through generating-function methods and discrete-time moment recurrences, we derive exact expressions for the propagator and determine the long-time asymptotics of the mean displacement and variance. At the critical point , the system exhibits giant fluctuations, with the variance scaling ballistically up to a logarithmic correction, . These results demonstrate how slowly decaying reorientation probabilities lead to a marginal breakdown of the Central Limit Theorem, enabling unusually high-variance exploratory dynamics in biased environments.
2 figures
References in corpus (12)
- Active Particles in Complex and Crowded Environments
- The large deviation approach to statistical mechanics
- Physics of Microswimmers - Single Particle Motion and Collective Behavior
- Lévy walks
- Microswimmers in Patterned Environments
- Hydrodynamics determines collective motion and phase behavior of active colloids
- Current fluctuations in non-equilibrium diffusive systems: an additivity principle
- Introduction to dynamical large deviations of Markov processes
- Run-and-tumble particles with hydrodynamics: sedimentation, trapping and upstream swimming
- Non-Markovian intracellular transport with sub-diffusion and run-length dependent detachment rate
- Orientational Memory of Active Particles in Multistate Non-Markovian Processes
- Semi-Markovian Dynamics of a Self-Propelled Particle in a Confined Environment: A Large-Deviation Study