2007
DOI: 10.1088/1751-8113/40/22/001
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Superdiffusion of a random walk driven by an ergodic Markov process with switching

Abstract: We propose a Markov model with an ergodic two-component switching mechanism that dynamically generates anomalous diffusion. The first component plays the role of a hidden parameter. The second one is the switching component generating the superdiffusion of a random walker and is itself non-Markovian. The model is studied numerically using the Monte Carlo technique.

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Cited by 8 publications
(9 citation statements)
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“…Finally, simulated densities of uni-directional flight lengths from this model show excellent agreement with truncated power-law distributions observed in experiments [10]. It is worth noting that there are a few examples where the power-law assumption has not been used as a starting point: superdiffusion of ultracold atoms [31] and a random walk driven by an ergodic Markov process with switching [32].…”
Section: Introductionsupporting
confidence: 66%
“…Finally, simulated densities of uni-directional flight lengths from this model show excellent agreement with truncated power-law distributions observed in experiments [10]. It is worth noting that there are a few examples where the power-law assumption has not been used as a starting point: superdiffusion of ultracold atoms [31] and a random walk driven by an ergodic Markov process with switching [32].…”
Section: Introductionsupporting
confidence: 66%
“…Note that stochastic two-state models with nonexponential waiting time distributions occur in many areas of natural sciences. We mention the stochastic resonance theory [24], two-state model for anomalous diffusion [25], two-state gating process for ion channels [26], propagation of tumor cells [27], superdiffusion theory and random walk with memory [28].…”
Section: Two-state Reaction-transport Modelmentioning
confidence: 99%
“…To face these phenomena, which exhibit an anomalous diffusion, several approaches have been used. For instance, Langevin equations, [13][14][15][16] random walks, 17 Fokker-Planck equations, 18 and extensions by considering nonlinear terms 19 or fractional derivatives. [20][21][22][23] The formal aspects of these formalism has also been analyzed by considering several situations, such as presence of external forces, 24,25 reaction terms, [26][27][28] and variable boundary conditions, 29 in order to comprehend the formalisms and their potential applications.…”
Section: Introductionmentioning
confidence: 99%