The variance of the mean back relaxation estimator is derived analytically for Gaussian processes in terms of the mean squared displacement, with a minimum at length l ≈ sqrt(Δx²(τ)), and cell data deviate from this prediction, indicating non-Gaussian motion.
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Evaluating non-equilibrium trajectories via mean back relaxation: Dependence on length and time scales
The variance of the mean back relaxation estimator is derived analytically for Gaussian processes in terms of the mean squared displacement, with a minimum at length l ≈ sqrt(Δx²(τ)), and cell data deviate from this prediction, indicating non-Gaussian motion.