2014
DOI: 10.1088/1751-8113/47/45/455005
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Linear response characteristics of time-dependent time fractional Fokker–Planck equation systems

Abstract: The time fractional Fokker–Planck equation approach is an important tool for modeling subdiffusion. When the external field is time modulated, two types of time-dependent time fractional Fokker–Planck equations have been proposed, both reduced to the same time-dependent time fractional Fokker–Planck equation when the external field is time uncorrelated. The first type is strictly deduced as the continuous limit of the continuous time random walk with time modulated Boltzmann jumping weight, while the second ty… Show more

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Cited by 5 publications
(5 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%
See 2 more Smart Citations
“…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%
“…(27) in the form p (as) where p i0 and p i1 (i − 1, 2) are coefficients to be determined. Correspondingly, we set…”
Section: Effect Of Non-gaussian Noise On Stochastic Resonancementioning
confidence: 99%
See 1 more Smart Citation
“…A similar approach to those presented in the aforementioned papers is used in this article, based, moreover, on the results presented in the monograph [20], with the difference being that the Gaver-Wynn-Rho algorithm [21][22][23] was used to determine the original solution from the Laplace transform image. The other analytical method used in the context of fractional partial differential equations is the method of the separation of variables [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…Fractional calculus is an extension of ordinary calculus, which is an emerging field in the area of applied mathematics such as modeling of complex phenomena, neural networks and signal processing [15]. Kang et al [16][17][18] have also worked on several physical phenomena of dynamical systems using the fractional order derivatives. It is a powerful tool that has been recently used by various researchers to model the complex dynamical systems such as modeling of infectious diseases that consist of nonlinear behavior and involvement of memory effect.…”
Section: Introductionmentioning
confidence: 99%