SearcharxivSearch

arXiv · 2308.02085

Microscopic Gyration with Dissipative Coupling

Abstract

Microscopic gyrators, including Brownian gyrators (BGs), require anisotropic fluctuations to perform gyration. It produces a finite current, driving the system out of equilibrium. In a typical BG set-up with an isotropic colloidal particle, the anisotropy sets in by the coupling among space dimensions via an externally applied anisotropic potential confining the particle and the difference between the temperatures along various space dimensions. The coupling is conservative. Here, contrary to a typical BG, first we consider an over-damped, anisotropic colloidal particle (a Brownian ellipsoid), trapped in an isotropic harmonic potential in two dimensions (2D). The space dimensions are coupled by the difference between the longitudinal and transverse frictional drags experienced by the ellipsoid, together with a finite tilt in its orientation due to its chirality. The coupling is dissipative. They are intrinsic properties of the particle. We have shown that this dissipative coupling can generate enough anisotropic fluctuations to perform a steady-state gyration in the Brownian scale. Next, going beyond BG, we have considered an inertial, granular, chiral ellipsoid in 2D, subjected to athermal, anisotropic fluctuations. There is no trapping force confining the granular ellipsoid. However, the coupling between the velocity components of the granular ellipsoid is still dissipative. We have shown that being assisted by the dissipative coupling and the anisotropic fluctuations, the inertial, granular ellipsoid can also perform gyration in 2D. We have also shown that the dominant contribution towards the gyrating frequency can be attributed to the Coriolis force acting on the granular ellipsoid. Hence, the gyrator in the granular scale is also a tiny autonomous machine that generates a directed motion (gyration) from fluctuations. Although there are fundamental differences between the two.

Explore related subjects

Keep this discovery

BibTeXRIS

Soham Dutta, Arnab Saha. 2023-08-03. Microscopic Gyration with Dissipative Coupling. https://arxiv.org/abs/2308.02085

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

KEEP EXPLORING

Related papers

Universal sampling of spin systems across quenched disorder

Statistical physics extracts macroscopic laws by averaging over the many microscopic degrees of freedom of a system. Disordered systems demand a second and far harder average, one over the quenched randomness itself. The classic analytical routes, the replica and cavity methods, become uncontrolled outside mean-field or tree-like limits, and conventional numerical algorithms like parallel tempering require expensive, independent equilibration for every disorder realization. In this work, we introduce a universal neural variational framework that amortizes inference across the disorder ensemble, eliminating both the need for per-instance Markov chain equilibration and the cost of retraining instance-specific variational ansatzes. Built on an encoder-decoder Transformer architecture, after training once, it produces an explicit approximation to the Boltzmann distribution given previously unseen disorder realizations without further optimization. We validate this framework on 2D Edwards-Anderson models, and apply it to the random-bond Ising model, successfully capturing the Binder cumulant crossings near the Nishimori multicritical point. These results shift the object of variational inference from the single instance to the disorder ensemble, opening a route to frustrated many-body systems where instance-by-instance computation is prohibitive.

cond-mat.stat-mech

Information-Theoretic Characterization of Macroscopic Chaos Emerging from the Chemical Master Equation

Open chemical reaction networks exhibit stochastic concentration dynamics at finite system sizes, whereas their macroscopic limit is governed by deterministic rate equations that can display chaos. In this Letter, we show theoretically that a rate of information loss constructed from two-time mutual information recovers the Kolmogorov-Sinai entropy in the deterministic limit. We verify this result through numerical simulations of a Markov jump process for a three-species system involving seven reactions.

cond-mat.stat-mech

Orientational order on non-orientable domains

We study the statistical properties of passive and active many-body systems with orientational degrees of freedom on non-orientable domains. By rephrasing topological constraints as non-local symmetry relations on an orientable double-cover, we show that non-orientability eliminates global rotational soft modes without acting like an external field. In a passive XY model, this results in topological caging, where orientational fluctuations that exhibit conventional diffusive behavior on a torus saturate on a Klein bottle to a finite value that we compute exactly in the thermodynamic limit. In models of active self-propelled particles with orientational degrees of freedom, topological caging persists despite continuously changing interaction neighborhoods. In an active Ising spin model, non-orientability enforces the coexistence of ordered anti-parallel domains with vanishing global polar order, a state that is absent on orientable domains.

cond-mat.stat-mech