Optimal tuning of a confined Brownian information engine

Abstract

A Brownian information engine is a device extracting a mechanical work from a single heat bath by exploiting the information on the state of a Brownian particle immersed in the bath. As for engines, it is important to find the optimal operating condition that yields the maximum extracted work or power. The optimal condition for a Brownian information engine with a finite cycle time $\tau$ has been rarely studied because of the difficulty in finding the nonequilibrium steady state. In this study, we introduce a model for the Brownian information engine and develop an analytic formalism for its steady state distribution for any $\tau$. We find that the extracted work per engine cycle is maximum when $\tau$ approaches infinity, while the power is maximum when $\tau$ approaches zero.

8 pages, 6 figures

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• Quantum Szilard Engine
• Nonequilibrium Detailed Fluctuation Theorem for Repeated Discrete Feedback
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• Achievable Information-Energy Exchange in a Brownian Information Engine through Potential Profiling
• Molecular dynamics study on a nonequilibrium motion of a colloidal particle driven by an external torque