2019
DOI: 10.1088/1367-2630/ab075f
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Fractional Brownian motion in a finite interval: correlations effect depletion or accretion zones of particles near boundaries

Abstract: Fractional Brownian motion (FBM) is a Gaussian stochastic process with stationary, long-time correlated increments and is frequently used to model anomalous diffusion processes. We study numerically FBM confined to a finite interval with reflecting boundary conditions. The probability density function of this reflected FBM at long times converges to a stationary distribution showing distinct deviations from the fully flat distribution of amplitude 1/L in an interval of length L found for reflected normal Brown… Show more

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Cited by 60 publications
(74 citation statements)
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References 75 publications
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“…We emphasize that the behavior of the FLE on a finite interval observed here is very different from the behavior of FBM on a finite interval reported in Ref. [24]. Whereas the probability density of the FLE reaches a uniform distribution for long times for all values of the correlation exponent α, the stationary probability density of FBM is not uniform and depends on the value of α.…”
Section: Finite Intervalcontrasting
confidence: 93%
See 1 more Smart Citation
“…We emphasize that the behavior of the FLE on a finite interval observed here is very different from the behavior of FBM on a finite interval reported in Ref. [24]. Whereas the probability density of the FLE reaches a uniform distribution for long times for all values of the correlation exponent α, the stationary probability density of FBM is not uniform and depends on the value of α.…”
Section: Finite Intervalcontrasting
confidence: 93%
“…stead, it develops singularities close to the walls and resembles the probability density of reflected FBM found in Ref. [24]. We have obtained similar results for α = 1.5.…”
Section: B Generalized Langevin Equation Without Fluctuation-dissipasupporting
confidence: 88%
“…This phenomenon is consistent with previous work at thermodynamic equilibrium. Related work involved fraction Brownian motion with the reflecting boundary condition can be found in [69,70]. However, it should be noted that the observed diffusion gradients come from particle-wall effects or the preciseboundary structure, which has a different regime with the temperature gradient.…”
Section: Steady State Probability Density Function (Pdf)mentioning
confidence: 99%
“…Generally the formulation of non-local and/or correlated stochastic processes is not always an easy task and, in some cases, still not fully understood. Apart from LFs, we may allude to the debate on the formulation and solution of boundary value problems for fractional Brownian motion, a process fuelled with Gaussian yet longrange correlated noise [187,188,189]. For LFs, in addition to the results obtained here it will be interesting to generalise the results obtained for symmetric α-stable laws in the presence of an external drift in [113].…”
Section: Discussion and Unsolved Problemsmentioning
confidence: 75%