Information thermodynamics for Markov jump processes coupled to underdamped diffusion: Application to nanoelectromechanics
Ashwin Gopal, Nahuel Freitas, Massimiliano Esposito

TL;DR
This paper extends information thermodynamics to coupled systems with Markov jump processes and underdamped diffusion, deriving fluctuation theorems and analyzing energy-information flows, with applications to nanoelectromechanical systems like the single-electron shuttle.
Contribution
It introduces a framework for analyzing energy and information exchanges in hybrid stochastic systems, including new fluctuation theorems and dynamical equations for different regimes.
Findings
Energy flows dominate over information flows in self-oscillating NEMS.
Derived higher-order dynamical equations for slow inertial dynamics.
Applied framework to study efficiency of electrical-to-mechanical energy conversion.
Abstract
We extend the principles of information thermodynamics to study energy and information exchanges between coupled systems composed of one part undergoing a Markov jump process and another underdamped diffusion. We derive integral fluctuation theorems for the partial entropy production of each subsystem and analyze two distinct regimes. First, when the inertial dynamics is slow compared to the discrete-state transitions, we show that the steady-state energy and information flows vanish at the leading order in an adiabatic approximation, if the underdamped subsystem is governed purely by conservative forces. To capture the non-zero contributions, we consistently derive dynamical equations valid to higher order. Second, in the limit of infinite mass, the underdamped dynamics becomes a deterministic Hamiltonian dynamics driving the jump processes, we capture the next-order correction beyond…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Surface and Thin Film Phenomena · Thermal properties of materials
