Search arXiv⌕ Search

arXiv · 2610.01672

Scalar field theory for (chiral) active Brownian particles: bottom-up derivation revisited

Abstract

The active Brownian particle (ABP) model is one of the most widely used particle-based models in studies of scalar active fluids. A collection of interacting ABPs is known to exhibit intriguing phenomena that are absent in equilibrium counterparts. A prominent example is spontaneous phase separation, known as motility-induced phase separation (MIPS), which occurs even in the absence of explicit attractive interactions. In parallel, the large-scale behavior of scalar active fluids is often modeled using continuum descriptions, namely, scalar field theories. Such scalar active field theories are usually formulated in a top-down manner, and establishing their connections to particle-based models remains challenging, with these connections not yet fully understood. To advance the microscopic derivation of scalar active field theories, we revisit the connection between ABPs interacting via a two-body potential in two dimensions and scalar field theories that include all possible terms up to fourth order in spatial gradients. Our approach is based on a pressure expansion and the renormalization group (RG) method in the context of singular perturbation theory. The RG method provides a systematic way to eliminate fast variables and identify the dynamics on the slow invariant manifold. Within this framework, scalar field theories can be obtained as RG flow equations. We also apply this method to a chiral variant of the ABP model, the chiral ABP (cABP) model, in which a constant torque biases particle rotation to the left or right. We show that the scalar field theory corresponding to the cABP model contains two ``odd'' terms in addition to those present in the scalar field theory for ABPs. The method developed here may also be useful for deriving hydrodynamic descriptions of other types of active matter systems.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yuta Kuroda, Thomas Speck. 2026-10-01. Scalar field theory for (chiral) active Brownian particles: bottom-up derivation revisited. https://arxiv.org/abs/2610.01672

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Stochastic Thermodynamics for Autoregressive Generative Models: A Non-Markovian Perspective

Autoregressive generative models -- including Transformers, recurrent neural networks, classical Kalman filters, state space models, and Mamba -- all generate sequences by sampling each output from a deterministic summary of the past, producing genuinely non-Markovian observed processes. We develop a general theoretical framework based on stochastic thermodynamics for this class of architectures and introduce the entropy production, which can be efficiently estimated from sampled trajectories without exponential overhead, despite the non-Markovian nature of the observed dynamics. As a proof-of-concept experiment with a large language model (LLM), we evaluate the entropy production for a pre-trained Transformer-based model, GPT-2. We find that the token-level entropy production is dominated by a syntactic artifact, while the sentence-level entropy production tends to be larger for causally ordered than for non-causal text sets. This observation is supported by a re-evaluation with a substantially larger model, Qwen3-4B-Base. We also demonstrate the framework in the linear Gaussian case, where the model reduces to the Kalman innovation representation and the entropy production admits an analytical expression. We also show that the entropy production decomposes exactly into non-negative per-step contributions in terms of retrospective inference, and each of those terms further splits into information-theoretically meaningful terms: a compression loss and a model mismatch. Our results establish a bridge between stochastic thermodynamics and modern generative models, and provide a starting point for using irreversibility as a quantitative probe of the highly non-Markovian processes generated by models such as LLMs.

cond-mat.stat-mech↗

Beyond average: heterogeneous first-passage dynamics in many-particle systems with resetting

Stochastic resetting is well understood for single-particle first-passage processes, but its consequences for collective first-passage behavior remain less clear. We address this problem in a many-particle system where all particles reset to the position of the rightmost particle, a protocol motivated by problems in artificial selection and avoidance. We use stochastic simulations of particles diffusing in a confining potential with an adsorbing boundary to examine two notions of group arrival: the first group-hitting time, when the first particle reaches the boundary, and the median group-hitting time, when half of them have reached it. We find that resetting produces broad hitting-time distributions with extended plateaus spanning several orders of magnitude. As the resetting rate increases, these plateaus extend and the mean group-hitting times grow rapidly. At the same time, the first-passage dynamics become increasingly heterogeneous. Consequently, the most probable and mean hitting times become widely separated, indicating the absence of a single characteristic time scale. These results demonstrate that the definition of group arrival is crucial for understanding and controlling collective first-passage behavior under resetting.

cond-mat.stat-mech↗

An agitated oscillator chain

Reduced dynamical descriptions for spatially extended systems in contact with a nonequilibrium medium give essential information about extensions of fluctuation-dissipation relations and, at the same time, are relevant for many natural systems. Here we study a chain of harmonic oscillators coupled to fast run-and-tumble particles, discretizing earlier work on an elastic string. We derive the effective Langevin dynamics, including the explicit discrete counterparts for the nonequilibrium-induced streaming term, friction coefficient, and noise amplitude. At sufficiently high bath persistence, the linear friction becomes negative, destabilizing the chain dynamics. However, numerical simulations confirm that the anti-damping is eventually arrested and results in a nonlinear stationary condition, whose properties are the central topic of this work. We characterize the long-time phase-space trajectories and their Rayleigh-like structure, identify multistage relaxation of the mean-squared displacement and mean-squared velocity, and establish a non-monotonic dependence of stationary fluctuations on bath persistence. We further analyze the stationary distributions of the displacement and velocity, as well as the spatial correlations, which develop damped oscillations in the strongly persistent regime. The transfer of activity thus transforms a passive harmonic chain into a self-sustained fluctuating medium with many-body Rayleigh-like dynamics, pulsating displacements, and persistent velocities.

cond-mat.stat-mech↗