PERIODICALLY DRIVEN LINEAR-SYSTEM WITH MULTIPLICATIVE COLORED NOISE

Citation
Av. Barzykin et al., PERIODICALLY DRIVEN LINEAR-SYSTEM WITH MULTIPLICATIVE COLORED NOISE, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 57(6), 1998, pp. 6555-6563
Citations number
20
Categorie Soggetti
Physycs, Mathematical","Phsycs, Fluid & Plasmas
ISSN journal
1063651X
Volume
57
Issue
6
Year of publication
1998
Pages
6555 - 6563
Database
ISI
SICI code
1063-651X(1998)57:6<6555:PDLWMC>2.0.ZU;2-Q
Abstract
A periodically driven Linear system subject to multiplicative correlat ed noise is considered. It has been argued recently by several authors that such a simple system exhibits stochastic resonance. By introduci ng a general type of composite stochastic process, bridging two previo usly considered limiting cases of dichotomous and Gaussian noise, it i s proved that, indeed, the amplitude of the average of the driven line ar process at long times shows a pronounced maximum both as a function of the noise strength and as a function of the autocorrelation time. However, this kind of stochastic resonant behavior can be experimental ly observable only in a special case where the initial phase of the ex ternal forcing is somehow fixed. Additional averaging over the uniform distribution of the initial random phase, inherent in most physical s ystems, leads to that the periodic output vanishes identically at long times. Moreover, the system response is typically defined in terms of the power spectrum rather than the amplitude of the average. The outp ut signal given by the spectral density corresponding to the frequency of the external forcing is calculated via the long-time phase-average d correlation function. It appears that the output signal simply diver ges upon approaching the second moment instability point with increasi ng noise strength. No stochastic resonance is observed for any paramet er settings. Interestingly, the resonancelike behavior of the system r esponse as a function of the autocorrelation time is retained.