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We demonstrate that continuous time random walks in which successive waiting times are correlated by Gaussian statistics lead to anomalous diffusion with the mean squared displacement ⟨ r 2 ( t )⟩ ≃ t 2/3 . Long-ranged correlations of the waiting times with a power-law exponent α (0 < α ⩽ 2) give rise to subdiffusion of the form ⟨ r 2 ( t )⟩ ≃ t α/(1 + α) . In contrast, correlations in the jump lengths are shown to produce superdiffusion. We show that in both cases weak ergodicity breaking occurs. Our results are in excellent agreement with simulations.
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Tejedor et al. (2010) studied this question.
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