Abstract
Anomalous diffusion is frequently described by scaled Brownian motion (SBM), a Gaussian process with a power-law time dependent diffusion coefficient. Its mean squared displacement is $\langle x^2(t)\rangle\simeq\mathscr{K}(t)t$ with $\mathscr{K}(t)\simeq t^{\alpha-1}$ for $0<\alpha<2$. SBM may provide a seemingly adequate description in the case of unbounded diffusion, for which its probability density function coincides with that of fractional Brownian motion. Here we show that free SBM is weakly non-ergodic but does not exhibit a significant amplitude scatter of the time averaged mean squared displacement. More severely, we demonstrate that under confinement, the dynamics encoded by SBM is fundamentally different from both fractional Brownian motion and continuous time random walks. SBM is highly non-stationary and cannot provide a physical description for particles in a thermalised stationary system. Our findings have direct impact on the modelling of single particle tracking experiments, in particular, under confinement inside cellular compartments or when optical tweezers tracking methods are used.
Highlights
Anomalous diffusion is frequently described by scaled Brownian motion (SBM), a Gaussian process with a power-law time dependent diffusion coefficient
We show that free SBM is weakly non-ergodic but does not exhibit a significant amplitude scatter of the time averaged mean squared displacement
We demonstrate that under confinement, the dynamics encoded by SBM is fundamentally different from both fractional Brownian motion and continuous time random walks
Summary
In an ergodic system for sufficiently long t ensemble and time averages provide identical information, formally, x2ðDÞ limt!1 d2ðDÞ for different trajectories are identical. If x has a narrow distribution around x = 1 and the width decreases with increasing t, the process is usually considered ergodic This width is characterised in terms of the ergodicity breaking parameter EB =. Comparison of eqn (7) with eqn (1) This scaling form d2 ’ D=t1Àa exactly matches the result for CTRW subdiffusion[5,40,41] or diffusion processes with space-dependent diffusivity.[20,21] Unlike the weakly non-ergodic dynamiDcs of thEe latter two, for SBM the fluctuations around the mean d2ðDÞ measured by the distribution f(x) are narrow and decrease with longer t. The shown analytical curve is based on the full solution for d2ðDÞ provided in the Appendix
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