Li Yongge, Suleiman Kheder, Xu Yong
School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, China.
MOE Key Laboratory for Complexity Science in Aerospace, Northwestern Polytechnical University, Xi'an 710072, China.
Phys Rev E. 2024 Jan;109(1-1):014139. doi: 10.1103/PhysRevE.109.014139.
Scaled Brownian motions (SBMs) with power-law time-dependent diffusivity have been used to describe various types of anomalous diffusion yet Gaussian observed in granular gases kinetics, turbulent diffusion, and molecules mobility in cells, to name a few. However, some of these systems may exhibit non-Gaussian behavior which can be described by SBM with diffusing diffusivity (DD-SBM). Here, we numerically investigate both free and confined DD-SBM models characterized by fixed or stochastic scaling exponent of time-dependent diffusivity. The effects of distributed scaling exponent, random diffusivity, and confinement are considered. Different regimes of ultraslow diffusion, subdiffusion, normal diffusion, and superdiffusion are observed. In addition, weak ergodic and non-Gaussian behaviors are also detected. These results provide insights into diffusion in time-fluctuating diffusivity landscapes with potential applications to time-dependent temperature systems spreading in heterogeneous environments.
具有幂律时间相关扩散率的标度布朗运动(SBMs)已被用于描述各种类型的反常扩散,然而在颗粒气体动力学、湍流扩散以及细胞中分子迁移率等方面观察到的却是高斯扩散,仅举几例。然而,其中一些系统可能表现出非高斯行为,这可以用具有扩散扩散率的SBM(DD - SBM)来描述。在这里,我们对以时间相关扩散率的固定或随机标度指数为特征的自由和受限DD - SBM模型进行了数值研究。考虑了分布标度指数、随机扩散率和约束的影响。观察到了超慢扩散、亚扩散、正常扩散和超扩散的不同状态。此外,还检测到了弱遍历性和非高斯行为。这些结果为在时间波动扩散率景观中的扩散提供了见解,具有在异质环境中随时间变化的温度系统传播方面的潜在应用。