2004
DOI: 10.1103/physreve.70.046118
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Non-Poisson dichotomous noise: Higher-order correlation functions and aging

Abstract: We study a two-state symmetric noise, with a given waiting time distribution ͑ ͒, and focus our attention on the connection between the four-time and two-time correlation functions. The transition of ͑ ͒ from the exponential to the nonexponential condition yields the breakdown of the usual factorization condition of high-order correlation functions, as well as the birth of aging effects. We discuss the subtle connections between these two properties and establish the condition that the Liouville-like approach … Show more

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Cited by 23 publications
(34 citation statements)
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“…The authors of Ref. [15] prove that in the renewal non-Poisson case, this factorization property is violated, thereby yielding the breakdown of the corresponding GME.…”
Section: Renewal Agingmentioning
confidence: 99%
See 1 more Smart Citation
“…The authors of Ref. [15] prove that in the renewal non-Poisson case, this factorization property is violated, thereby yielding the breakdown of the corresponding GME.…”
Section: Renewal Agingmentioning
confidence: 99%
“…The demonstration of Ref. [15] runs as follows. The construction of the Generalized Master Equation (GME) produced by dichotomous fluctuation is made possible by the factorization condition that, in the case with no bias, for the fourth-order correlation function reads:…”
Section: Renewal Agingmentioning
confidence: 99%
“…Moreover, in a number of systems the kinetics is anomalously long time tailed which implies long time memory in them. The anomaly manifests itself in some interesting phenomena such as non-ergodicity [7,8,9], aging [10,11,12], slow relaxation [7,13,14,15], etc.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, P. Allegrini et al studied non-Poisson dichotomous noise [10]. Their paper is particularly relevant here, as a particular case of non-Poisson dichotomous noise is studied below in some detail, namely a generalized RTS where waiting times between consecutive level changes follow a Mittag-Leffler distribution.…”
Section: Introductionmentioning
confidence: 99%