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Superstatistical generalised Langevin equation: non-Gaussian viscoelastic anomalous diffusion

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Titel
Superstatistical generalised Langevin equation: non-Gaussian viscoelastic anomalous diffusion
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Anzahl der Teile
31
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CC-Namensnennung 3.0 Unported:
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Identifikatoren
Herausgeber
Erscheinungsjahr2018
SpracheEnglisch

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Abstract
Recent advances in single particle tracking and supercomputing techniques demonstrate the emergence of normal or anomalous, viscoelastic diffusion in conjunction with non-Gaussian distributions in soft, biological, and active matter systems. We here formulate a stochastic model based on a generalised Langevin equation in which non-Gaussian shapes of the probability density function and normal or anomalous diffusion have a common origin, namely a random parametrisation of the stochastic force. We perform a detailed analysis demonstrating how various types of parameter distributions for the memory kernel result in exponential, power law, or power-log law tails of the memory functions. The studied system is also shown to exhibit a further unusual property: the velocity has a Gaussian one point probability density but non-Gaussian joint distributions. This behaviour is reflected in the relaxation from a Gaussian to a non-Gaussian distribution observed for the position variable. We show that our theoretical results are in excellent agreement with stochastic simulations.