Destructive effect of fluctuations on the performance of a Brownian gyrator
arXiv:2307.05248 · doi:10.1039/D3SM01606D
Abstract
The Brownian gyrator (BG) is often called a minimal model of a nano-engine performing a rotational motion, judging solely upon the fact that in non-equilibrium conditions its torque, angular momentum and angular velocity have non-zero mean values. For a time-discretized model, which is most adapted for the analysis of an essentially discrete-time data garnered in experiments or numerical simulations, we calculate the previously unknown probability density functions (PDFs) of and . For finite time-step , the PDF of has exponential tails and all moments are therefore well-defined, but the noise-to-signal ratio can attain big values for small . Conversely, the PDF of exhibits heavy power-law tails and its mean is the only existing moment. The BG is therefore not an engine in the common sense: it does not exhibit regular rotations on each run and its fluctuations are not only a minor nuisance -- on contrary, their effect is completely destructive for the performance. Our theoretical predictions are confirmed by numerical simulations and experimental data. We discuss some plausible improvements
arXiv comment6 pages +ESI 10 pages
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