Collective behavior of independent scaled Brownian particles with renewal resetting
Ohad Vilk, Baruch Meerson
TL;DR
This work addresses the collective fluctuations of $N\gg 1$ independent particles performing renewal-reset scaled Brownian motion. By leveraging the known single-particle steady-state distribution $p_{\text{s}}(x)$ and extreme-value theory, the authors derive the full statistics of the system radius $\ell$, showing typical fluctuations fall into the Gumbel universality class for all $H>0$. They also analyze the center of mass, finding standard large-deviation scaling for $H\le 1/2$ and an anomalous, big-jump–driven scaling with a first-order dynamical phase transition for $H>1/2$, due to a single particle performing a large excursion. The results highlight how renewal resetting and the underlying diffusion exponent $H$ govern collective fluctuations in noninteracting ensembles and point to rich extensions to interacting systems and fluctuating hydrodynamics with resetting.
Abstract
We study collective dynamics of an ensemble of $N\gg 1$ independent particles undergoing anomalous diffusion with random renewal resetting. The anomalous diffusion is modeled by the scaled Brownian motion (sBm): a Gaussian process, characterized by a power-law time dependence of the diffusion coefficient, $D(t)\sim t^{2H}$, where $H>0$. The particles independently reset to the origin, and each particle's clock is set to zero upon spatial resetting. Employing the known steady-state position distribution of a \emph{single} particle undergoing the sBm with renewal resetting [Bodrova et al., Phys. Rev. E \textbf{100}, 012120 (2019)], we study the collective dynamics of $N$ particles. We determine the statistics of the system radius $\ell$. The typical fluctuations of $\ell$ fall under the Gumbel universality class, and we use extreme value statistics to calculate the moments of $\ell$. We also study the large-deviation statistics of the center of mass (COM), where for $H>1/2$ we uncover an anomalous scaling behavior of the COM distribution, and a singularity in the corresponding rate function, due to a ``big jump" effect.
