Towards a statistical mechanical theory of active fluids
Umberto Marini Bettolo Marconi, Claudio Maggi

TL;DR
This paper develops a statistical mechanical framework for active fluids, deriving explicit distribution functions, correlation functions, and an equation of state, revealing activity-induced effective attractions and phase behavior insights.
Contribution
It introduces a novel statistical mechanical approach for active fluids using a colored noise approximation, leading to explicit distribution functions and a mean field theory for phase analysis.
Findings
Explicit many-particle distribution function for active particles.
Identification of activity-induced effective attraction between particles.
Derivation of a van der Waals type equation of state for active fluids.
Abstract
We present a stochastic description of a model of N mutually repelling active spheres in the presence of external fields and characterize its steady state behavior. To reproduce the effects of the experimentally observed persistence of the trajectories of the active particles we consider a Gaussian forcing having a non vanishing correlation time , whose finiteness is a measure of the activity of the system. With these ingredients we show that it is possible to develop a statistical mechanical approach similar to the one employed in the study of equilibrium liquids and to obtain the explicit form of the many-particle distribution function by means of the multidimensional unified colored noise approximation. Such a distribution plays a role analogous to the Gibbs distribution in equilibrium statistical mechanics and provides a complete information about the microscopic state of the…
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