Scaling law of diffusivity generated by a noisy telegraph signal with fractal intermittency

Chaos, Solitons & Fractals(2015)

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摘要
In many complex systems the non-linear cooperative dynamics determine the emergence of self-organized, metastable, structures that are associated with a birth–death process of cooperation. This is found to be described by a renewal point process, i.e., a sequence of crucial birth–death events corresponding to transitions among states that are faster than the typical long-life time of the metastable states. Metastable states are highly correlated, but the occurrence of crucial events is typically associated with a fast memory drop, which is the reason for the renewal condition. Consequently, these complex systems display a power-law decay and, thus, a long-range or scale-free behavior, in both time correlations and distribution of inter-event times, i.e., fractal intermittency.
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关键词
Scaling,Noise,Time series analysis,Signal processing,Fractal intermittency,Complex systems
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