Fractional Brownian gyrator. (5th December 2022)

• Record Type: Journal Article
• Authors: Squarcini, Alessio; Solon, Alexandre; Viot, Pascal; Oshanin, Gleb
• Is Part Of: Journal of physics. Volume 55:Number 48(2022)
• Publication Date: 2022-12-05
• Subjects: fractional Brownian motion -- nonequilibrium statistical mechanics -- anomalous diffusion; Mathematical physics -- Periodicals; Statistical physics -- Periodicals; Quantum theory -- Periodicals; Matter -- Properties -- Periodicals; 530.105
• DOI: 10.1088/1751-8121/aca4aa
• Languages: English
• ISSNs: 1751-8113

Abstract

Abstract: When a physical system evolves in a thermal bath kept at a constant temperature, it eventually reaches an equilibrium state which properties are independent of the kinetic parameters and of the precise evolution scenario. This is generically not the case for a system driven out of equilibrium which, on the contrary, reaches a steady-state with properties that depend on the full details of the dynamics such as the driving noise and the energy dissipation. How the steady state depends on such parameters is in general a non-trivial question. Here, we approach this broad problem using a minimal model of a two-dimensional nano-machine, the Brownian gyrator, that consists of a trapped particle driven by fractional Gaussian noises—a family of noises with long-ranged correlations in time and characterized by an anomalous diffusion exponent α . When the noise is different in the different spatial directions, our fractional Brownian gyrator persistently rotates. Even if the noise is non-trivial, with long-ranged time correlations, thanks to its Gaussian nature we are able to characterize analytically the resulting nonequilibrium steady state by computing the probability density function, the probability current, its curl and the angular velocity and complement our study by numerical results.