OPTIMAL DIRECTED CURRENT OF A BROWNIAN MOTOR UNDER A NON-GAUSSIAN NOISE GENERATED BY A MULTIPLICATIVE PROCESS

J. R. R. Duarte and M. L. Lyra ()
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J. R. R. Duarte: Instituto de Física, Universidade Federal de Alagoas, 57072-970 Maceió-AL, Brazil
M. L. Lyra: Instituto de Física, Universidade Federal de Alagoas, 57072-970 Maceió-AL, Brazil

International Journal of Modern Physics C (IJMPC), 2010, vol. 21, issue 06, 757-767

Abstract: Unidirectional motion is achieved when a particle, moving under the influence of an underlying noise source, is subjected to a ratchet asymmetric periodic potential. Here, we investigate how deviations from the Gaussian nature of the noise distribution function impacts the average particle's current. The input noise is considered to be produced by a Langevin process including both multiplicative and additive random noise sources. The resulting input random signal has a power-law amplitude distribution and a finite correlation time. These features are controlled by the average of the multiplicative noise. We show that the average particle's velocity depends non-monotonically on the degree of non-Gaussianity of the input noise. It exhibits a maximum at an intermediate value of the effective power-law exponent that characterizes the asymptotic decay of the noise probability distribution function.

Keywords: Brownian motor; stochastic phenomena; non-Gaussian noise; 05.40.-a; 05.60.Cd; 05.10.Gg (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1142/S0129183110015452

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