Scaling Green-Kubo relation and application to three aging systems

Abstract

The Green-Kubo formula relates the spatial diffusion coefficient to the stationary velocity autocorrelation function. We derive a generalization of the Green-Kubo formula valid for systems with long-range or nonstationary correlations for which the standard approach is no longer valid. For the systems under consideration, the velocity autocorrelation function $⟨v(t+\tau )v(t)⟩$ asymptotically exhibits a certain scaling behavior and the diffusion is anomalous $⟨x^2(t)⟩\simeq 2D_{\nu }{t}^{\nu }$. We show how both the anomalous diffusion coefficient $D_{\nu }$ and exponent $\nu$ can be extracted from this scaling form. Our scaling Green-Kubo relation thus extends an important relation between transport properties and correlation functions to generic systems with scale invariant dynamics. This includes stationary systems with slowly decaying power law correlations as well as aging systems, whose properties depend on the the age of the system. Even for systems that are stationary in the long time limit, we find that the long time diffusive behavior can strongly depend on the initial preparation of the system. In these cases, the diffusivity $D_{\nu }$ is not unique and we determine its values for a stationary respectively nonstationary initial state. We discuss three applications of the scaling Green-Kubo relation: Free diffusion with nonlinear friction corresponding to cold atoms diffusing in optical lattices, the fractional Langevin equation with external noise recently suggested to model active transport in cells and the Lévy walk with numerous applications, in particular blinking quantum dots. These examples underline the wide applicability of our approach, which is able to treat very different mechanisms of anomalous diffusion.

16 pages, 6 figures, 1 table

References in corpus (2)

• Generalized Elastic Model yields Fractional Langevin Equation
• Photon Counting Statistics For Blinking CdSe-ZnS Quantum Dots: A Levy Walk Process

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