Restoring ergodicity of stochastically reset anomalous-diffusion processes

نویسندگان

چکیده

How do different reset protocols affect ergodicity of a diffusion process in single-particle-tracking experiments? We here address the problem resetting an arbitrary stochastic anomalous-diffusion (ADP) from general mathematical points view and assess such ADPs for protocol. The describes events instantaneous restart particle's motion via randomly distributed returns to preset initial position (or set those). waiting times obey Poissonian, Gamma, or more generic distributions with specified conditions regarding existence moments. Within these approaches, we derive analytical results support them by computer simulations behavior mean-squared displacement (MSD), new increment-MSD (iMSD), mean time-averaged MSD (TAMSD). For parental nonreset MSD($t$)$\ensuremath{\propto}{t}^{\ensuremath{\mu}}$ find switch short-time growth iMSD TAMSDs $\ensuremath{\propto}{\mathrm{\ensuremath{\Delta}}}^{\ensuremath{\mu}}$ subdiffusive $\ensuremath{\propto}{\mathrm{\ensuremath{\Delta}}}^{1}$ superdiffusive ADPs. critical condition ADP that recovers its is found be than nonequilibrium stationary state, where obviously TAMSD are equal. consideration statistical quantifier, iMSD---as compared standard MSD---restores all situations when $\ensuremath{\mu}\mathrm{th}$ moment waiting-time distribution finite. Potential applications are, inter alia, area biophysical soft-matter systems.

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ژورنال

عنوان ژورنال: Physical review research

سال: 2022

ISSN: ['2643-1564']

DOI: https://doi.org/10.1103/physrevresearch.4.013161