2014•中国物理B:英文版Requires access

Confined subdiffusion in three dimensions

覃善林, 何勇

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Abstract

Three-dimensional(3D) Fick’s diffusion equation and fractional diffusion equation are solved for different reflecting boundaries. We use the continuous time random walk model(CTRW) to investigate the time-averaged mean square displacement(MSD) of a 3D single particle trajectory. Theoretical results show that the ensemble average of the time-averaged MSD can be expressed analytically by a Mittag–Leffler function. Our new expression is in agreement with previous formulas in two limiting cases: δ 2 ~ ? in short lag time and δ 2 ~ ?1-αin long lag time. We also simulate the experimental data of mRNA diffusion in living E. coli using a 3D CTRW model under confined and crowded conditions. The simulation results are well consistent with experimental results. The calculations of power spectral density(PSD) further indicate the subdiffsive behavior of an individual trajectory.

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What this paper is about

Three-dimensional(3D) Fick’s diffusion equation and fractional diffusion equation are solved for different reflecting boundaries. We use the continuous time random walk model(CTRW) to investigate the time-averaged mean square displacement(MSD) of a 3D single particle trajectory. Theoretical results show that the ensemble average of the time-averaged MSD can be expressed analytically by a Mittag–Leffler function. Our new expression is in agreement with previous formulas in two limiting cases: δ 2 ~ ? in short lag time and δ 2 ~ ?1-αin long lag time. We also simulate the experimental data of mRNA diffusion in living E. coli using a 3D CTRW model under confined and crowded conditions. The simulation results are well consistent with experimental results. The calculations of power spectral density(PSD) further indicate the subdiffsive behavior of an individual trajectory.

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Available abstract

Three-dimensional(3D) Fick’s diffusion equation and fractional diffusion equation are solved for different reflecting boundaries. We use the continuous time random walk model(CTRW) to investigate the time-averaged mean square displacement(MSD) of a 3D single particle trajectory. Theoretical results show that the ensemble average of the time-averaged MSD can be expressed analytically by a Mittag–Leffler function. Our new expression is in agreement with previous formulas in two limiting cases: δ 2 ~ ? in short lag time and δ 2 ~ ?1-αin long lag time. We also simulate the experimental data of mRNA diffusion in living E. coli using a 3D CTRW model under confined and crowded conditions. The simulation results are well consistent with experimental results. The calculations of power spectral density(PSD) further indicate the subdiffsive behavior of an individual trajectory.

Key concepts: Mean squared displacement, Anomalous diffusion, Continuous-time random walk, Diffusion, Statistical physics, Random walk, Trajectory, Mathematics

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