English

Gaussian white noise as a resource for microscopic engines

Statistical Mechanics 2017-03-29 v1

Abstract

We show that uncorrelated Gaussian noise, despite its paradigmatic association with thermal equilibrium, can drive a system out of equilibrium and can serve as a resource from which work can be extracted. We consider an overdamped particle in a periodic potential with an internal degree of freedom and a state-dependent friction, coupled to an equilibrium bath. Applying additional Gaussian white noise drives the system into a non-equilibrium steady state and causes a finite current if the potential is spatially asymmetric. We calculate the current explicitly in the three complementary limits. Since the particle current is driven solely by additive Gaussian white noise, this shows that the latter can potentially be exploited as a work resource to power small engines. By comparing the extracted power to the energy injection due to the noise, we find an expression for the efficiency of such an engine.

Keywords

Cite

@article{arxiv.1609.09633,
  title  = {Gaussian white noise as a resource for microscopic engines},
  author = {Andreas Dechant and Adrian Baule and Shin-ichi Sasa},
  journal= {arXiv preprint arXiv:1609.09633},
  year   = {2017}
}

Comments

11 pages, 5 figures

R2 v1 2026-06-22T16:06:20.887Z