不相关
随机游动
统计物理学
扩散
随机过程
数学
连续时间随机游动
扩散过程
首次命中时间模型
反常扩散
稳态(化学)
物理
计算机科学
统计
创新扩散
知识管理
热力学
物理化学
化学
作者
Caiyun Zhang,Yuhang Hu,Jian Liu
标识
DOI:10.1088/1742-5468/ac8c8e
摘要
Abstract It is known that the introduction of stochastic resetting in an uncorrelated random walk process can lead to the emergence of a stationary state, i.e. the diffusion evolves towards a saturation state, and a steady Laplace distribution is reached. In this paper, we turn to study the anomalous diffusion of the correlated continuous-time random walk considering stochastic resetting. Results reveal that it displays quite different diffusive behaviors from the uncorrelated one. For the weak correlation case, the stochastic resetting mechanism can slow down the diffusion. However, for the strong correlation case, we find that the stochastic resetting cannot compete with the space-time correlation, and the diffusion presents the same behaviors with the one without resetting. Meanwhile, a steady distribution is never reached.
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