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

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dc.creatorBouzat, Sebastian
dc.creatorWio, Horacio S.
dc.date2001-12-17
dc.date.accessioned2026-07-07T02:43:52Z
dc.date.available2026-07-07T02:43:52Z
dc.descriptionWe 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.
dc.descriptionSumbitted to Physical Review Lettters, RevTex, 9 pgs, 4 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0112304
dc.identifierhttp://arxiv.org/abs/cond-mat/0112304
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/18677
dc.subjectStatistical Mechanics
dc.subjectPattern Formation and Solitons
dc.titleStrong enhancement of current, efficiency and mass separation in Brownian motors driven by non Gaussian noises
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