Convergence to a Gaussian by narrowing of central peak in Brownian yet non-Gaussian diffusion in disordered environments

Abstract

In usual diffusion, the concentration profile, starting from an initial distribution showing sharp features, first gets smooth and then converges to a Gaussian. By considering several examples, we show that the art of convergence to a Gaussian in diffusion in disordered media with infinite contrast may be strikingly different: sharp features of initial distribution do not smooth out at long times. This peculiarity of the strong disorder may be of importance for diagnostics of disorder in complex, e.g. biological, systems.

6 pages, 6 figures (SM: 7 pages, 5 figures)

References in corpus (4)

• "Diffusing diffusivity": A model for anomalous and "anomalous yet Brownian" diffusion
• Random walks on supercritical percolation clusters
• Large deviations for continuous time random walks
• Large Deviation in Continuous Time Random Walks

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