2013
DOI: 10.2478/s11534-013-0224-2
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Dynamical process of complex systems and fractional differential equations

Abstract: Abstract:Behavior of dynamical process of complex systems is investigated. Specifically we analyse two types of ideal complex systems. For analysing the ideal complex systems, we define the response functions describing the internal states to an external force. The internal states are obtained as a relaxation process showing a "power law" distribution, such as scale free behaviors observed in actual measurements. By introducing a hybrid system, the logarithmic time, and double logarithmic time, we show how the… Show more

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Cited by 4 publications
(5 citation statements)
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“…In order to establish the fundamental base for magnetic relaxation, we applied the stretched exponential law to the data. In complex systems, such as aggregates of single‐domain, pseudo single‐domain, and multi‐domain grains, the relaxation behavior can be explained by stretched exponential law with a transformation from τ to τ * [ Hara and Tamura , ]. The relaxation rate of the power law describing the stretched exponential law has been shown to reflect the distribution of relaxation time in complex systems [ Plonka , , ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to establish the fundamental base for magnetic relaxation, we applied the stretched exponential law to the data. In complex systems, such as aggregates of single‐domain, pseudo single‐domain, and multi‐domain grains, the relaxation behavior can be explained by stretched exponential law with a transformation from τ to τ * [ Hara and Tamura , ]. The relaxation rate of the power law describing the stretched exponential law has been shown to reflect the distribution of relaxation time in complex systems [ Plonka , , ].…”
Section: Discussionmentioning
confidence: 99%
“…For n = 0, equation (8) is reduced to a simple Néel's exponential relaxation [Ngai and Strom, 1988;Ulrich et al, 2003]. The dynamics of slow relaxation is expressed by a longer relaxation time instead of simple relaxation time [Ngai, 1998;Hara and Tamura, 2013].…”
Section: 1002/2016jb013281mentioning
confidence: 99%
“…The use of this type of models is appropiate since diffusion processes have been associated with dielectric charging in MEMS [5]. Furthermore, there is a link in [6] between fractional systems and the typically observed multiexponential or stretched-time exponential type responses [2], [7] usually found in dielectric charging.…”
Section: Introductionmentioning
confidence: 99%
“…Note that the constitutive relation of the GM and GKV models become identical to a system of overdamped Langevin equations when random inputs are considered [20,22], and that imposing a scaling rule on the GM and GKV models is analogous to considering a system of scaled overdamped Langevin equations, which is known to exhibit power-law time-dependent relaxation behavior [56]. Thus, the interpretation of the differentiation order a as the internal scaling of the characteristic time scales may be valid for a range of complex systems described by scaled overdamped Langevin equations [57,58], whose information geometrical characterization has been recently discussed in [59].…”
Section: The Interpretation Of the Differentiation Ordermentioning
confidence: 99%