Time-Average Based on Scaling Law in Anomalous Diffusions
arXiv:1409.0949 · doi:10.1142/S0217984915500591
Abstract
To solve the obscureness in measurement brought about from the weak ergodicity breaking appeared in anomalous diffusions we have suggested the time-averaged mean squared displacement (MSD) with a integral interval depending linearly on the lag time . For the continuous time random walk describing a subdiffusive behavior, we have found that like that of the ensemble-averaged MSD, which makes it be possible to measure the proper exponent values through time-average in experiments like a single molecule tracking. Also we have found that it is originated from the scaling nature of the MSD at a aging time in anomalous diffusion and confirmed them through numerical results of the other microscopic non-Markovian model showing subdiffusions and superdiffusions with the origin of memory enhancement.
References in corpus (13)
- In vivo anomalous diffusion and weak ergodicity breaking of lipid granules
- Random Time-Scale Invariant Diffusion and Transport Coefficients
- Statistical Aging and Non Ergodicity in the Fluorescence of Single Nanocrystals
- Ergodic Properties of Fractional Brownian-Langevin Motion
- Anomalous diffusion and ergodicity breaking in heterogeneous diffusion processes
- Stochastic Ergodicity Breaking: a Random Walk Approach
- Distribution of Time-Averaged Observables for Weak Ergodicity Breaking
- Inequivalence of time and ensemble averages in ergodic systems: exponential versus power-law relaxation in confinement
- Scaled Brownian motion as a mean field model for continuous time random walks
- Finite-time effects and ultraweak ergodicity breaking in superdiffusive dynamics
- Weak ergodicity breaking in an anomalous diffusion process of mixed origins
- Ergodic properties of continuous-time random walks: finite-size effects and ensemble dependences
- Anomalous diffusions induced by enhancement of memory