| Issue |
EPL
Volume 154, Number 6, June 2026
|
|
|---|---|---|
| Article Number | 67001 | |
| Number of page(s) | 7 | |
| Section | Biological and soft matter physics | |
| DOI | https://doi.org/10.1209/0295-5075/ae6bb4 | |
| Published online | 03 June 2026 | |
Role of mass fluctuations in the diffusion of clusters of Brownian particles with activity
Dipartimento Interateneo di Fisica, Università degli Studi di Bari and INFN, Sezione di Bari via Amendola 173, Bari, I-70126, Italy
Received: 5 September 2025
Accepted: 11 May 2026
Abstract
Motivated by the anomalous diffusion observed in clusters of active Brownian particles (ABPs), where the center-of-mass diffusion coefficient scales as
with respect to the number N of particles in the cluster, we derive a minimal theoretical framework starting from the single-particle Langevin equations. The model consists of two coupled stochastic equations: one for the cluster center-of-mass trajectory and one for the mass evolution N(t), explicitly accounting for stochastic displacements induced by particle attachment and detachment. We specialize and validate the framework against ABP simulations of isolated clusters in stationary conditions, where N(t) follows a Gaussian process with mean N0, variance
, and persistence time
. Analytical solution of the coupled equations yields the long-time diffusion coefficient as the sum of two contributions: a conventional term
due to thermal noise plus summation of active forces, and a fluctuation-driven term
with
, where d is the spatial dimension. We demonstrate that anomalous scaling emerges whenever the second term becomes dominant. The model predicts
with
, in good quantitative agreement with large-scale ABP simulations.
© 2026 The author(s)
Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
