Strong enhancement of current, efficiency and mass separation in Brownian motors driven by non Gaussian noises

Details Strong enhancement of current, efficiency and mass separation in Brownian motors driven by non Gaussian noises Strong enhancement of current, efficiency and mass separation in Brownian motors driven by non Gaussian noises

2001-12-17

arxiv.org/abs/cond-mat/0112304v1

Physics

Condensed Matter

Statistical Mechanics

Sumbitted to Physical Review Lettters, RevTex, 9 pgs, 4 figures

Scientific paper

We study a Brownian motor driven by a colored non Gaussian noise source with a $q$-dependent probability distribution, where $q$ is a parameter indicating the departure from Gaussianity. For $q=1$ the noise is Gaussian (Ornstein--Uhlenbeck), while, for $q>1$, the probability distribution falls like a power law. In the latter case, we find a marked enhancement of both the current and the efficiency of the Brownian motor in the overdamped regime. We also analyze the case with inertia and show that, again for $q > 1$, a remarkable increase of the ratchet's mass separation capability is obtained.

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