Białas K, Spiechowicz J
Institute of Physics, University of Silesia, 41-500 Chorzów, Poland.
Chaos. 2021 Dec;31(12):123107. doi: 10.1063/5.0068039.
Last year, Białas et al. [Phys. Rev. E 102, 042121 (2020)] studied an overdamped dynamics of nonequilibrium noise driven Brownian particle dwelling in a spatially periodic potential and discovered a novel class of Brownian, yet non-Gaussian diffusion. The mean square displacement of the particle grows linearly with time and the probability density for the particle position is Gaussian; however, the corresponding distribution for the increments is non-Gaussian. The latter property induces the colossal enhancement of diffusion, significantly exceeding the well known effect of giant diffusion. Here, we considerably extend the above predictions by investigating the influence of nonequilibrium noise amplitude statistics on the colossal Brownian, yet non-Gaussian diffusion. The tail of amplitude distribution crucially impacts both the magnitude of diffusion amplification and the Gaussianity of the position and increments statistics. Our results carry profound consequences for diffusive behavior in nonequilibrium settings such as living cells in which diffusion is a central transport mechanism.
去年,比亚拉斯等人[《物理评论E》102, 042121 (2020)]研究了处于空间周期势中的非平衡噪声驱动布朗粒子的过阻尼动力学,并发现了一类新型的布朗扩散,但它是非高斯扩散。粒子的均方位移随时间线性增长,粒子位置的概率密度是高斯分布的;然而,增量的相应分布是非高斯的。后一种特性导致扩散的巨大增强,显著超过了众所周知的巨扩散效应。在这里,我们通过研究非平衡噪声幅度统计对巨大的布朗但非高斯扩散的影响,大大扩展了上述预测。幅度分布的尾部对扩散放大的幅度以及位置和增量统计的高斯性都有至关重要的影响。我们的结果对非平衡环境中的扩散行为具有深远影响,例如在活细胞中,扩散是一种核心传输机制。