2022
Journal article  Open Access

Anomalous diffusion originated by two Markovian hopping-trap mechanisms

Vitali S., Paradisi P., Pagnini G.

Continuous-time random walk  Modeling and Simulation  Mathematical Physics  Anomalous diffusion  Condensed Matter - Soft Condensed Matter  Soft Condensed Matter (cond-mat.soft)  Statistical Mechanics (cond-mat.stat-mech)  FOS: Physical sciences  General Physics and Astronomy  Fractional diffusion  Statistical and Nonlinear Physics  Condensed Matter - Statistical Mechanics  Statistics and Probability 

We show through intensive simulations that the paradigmatic features of anomalous diffusion are indeed the features of a (continuous-time) random walk driven by two different Markovian hopping-trap mechanisms. If p (0, 1/2) and 1 - p are the probabilities of occurrence of each Markovian mechanism, then the anomalousness parameter ? (0, 1) results to be ? ? 1 - 1/{1 + log[(1 - p)/p]}. Ensemble and single-particle observables of this model have been studied and they match the main characteristics of anomalous diffusion as they are typically measured in living systems. In particular, the celebrated transition of the walker's distribution from exponential to stretched-exponential and finally to Gaussian distribution is displayed by including also the Brownian yet non-Gaussian interval.

Source: Journal of physics. A, Mathematical and theoretical (Print) 55 (2022). doi:10.1088/1751-8121/ac677f

Publisher: IOP Publishing,, Bristol , Regno Unito


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BibTeX entry
@article{oai:it.cnr:prodotti:472264,
	title = {Anomalous diffusion originated by two Markovian hopping-trap mechanisms},
	author = {Vitali S. and Paradisi P. and Pagnini G.},
	publisher = {IOP Publishing,, Bristol , Regno Unito},
	doi = {10.1088/1751-8121/ac677f and 10.48550/arxiv.2204.06276},
	journal = {Journal of physics. A, Mathematical and theoretical (Print)},
	volume = {55},
	year = {2022}
}