2011
DOI: 10.1209/0295-5075/94/60005
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Coherence resonance in subdiffusive fractional Klein-Kramers periodic potential systems without a bifurcation precursor

Abstract: Coherence resonance of normal diffusive and subdiffusive Brownian particles moving within a static periodic potential is investigated by the method of moments through the dissipationfluctuation relation. It is shown that coherence resonance could happen in the background of both normal diffusion and subdiffusion. The importance of the current investigation is twofold; on the one hand, it generalizes coherence resonance to a model which surpasses the limitation of either of the two commonly accepted requisites … Show more

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Cited by 13 publications
(11 citation statements)
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“…Within a linear response range [25][26][27][28], we seek the long term solution of Eq. (27) in the form p (as) where p i0 and p i1 (i − 1, 2) are coefficients to be determined.…”
Section: Effect Of Non-gaussian Noise On Stochastic Resonancementioning
confidence: 99%
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“…Within a linear response range [25][26][27][28], we seek the long term solution of Eq. (27) in the form p (as) where p i0 and p i1 (i − 1, 2) are coefficients to be determined.…”
Section: Effect Of Non-gaussian Noise On Stochastic Resonancementioning
confidence: 99%
“…Our purpose is to analytically deduce the MFPTs of a gene transcriptional regulatory system driven by non-Gaussian noise. As an application of the derived MFPTs, we further explore the effect of non-Gaussian noise on SR based on a new combination of adiabatic elimination [6,21,22] and linear response approximation [23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…Next, take t t   cos ) ( 0   with 1 0   to calculate the linear susceptibility. The main idea underlying the calculating procedure is to combine the method of weighed series expansion [Evstigneev et al, 2002;Kang et al, 2003;Kang, 2011;Liu & Kang, 2018] and the harmonic balance method [Lim et al, 2001], where the weighting function is taken as the stationary solution of the unperturbed version of Eq. (3) so as to satisfy the natural boundary conditions.…”
Section: Calculation Of Linear Susceptibilitymentioning
confidence: 99%
“…(3) so as to satisfy the natural boundary conditions. This method was applied to linear FP equations before [Evstigneev et al, 2002;Kang et al, 2003;Kang, 2011;Liu & Kang, 2018], but it is applied to the nonlinear FP equation here for the first time.…”
Section: Calculation Of Linear Susceptibilitymentioning
confidence: 99%
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