Singh R K, Burov Stanislav
Department of Physics, Bar-Ilan University, Ramat-Gan 5290002, Israel.
Phys Rev E. 2023 Nov;108(5):L052102. doi: 10.1103/PhysRevE.108.L052102.
Through numerous experiments that analyzed rare event statistics in heterogeneous media, it was discovered that in many cases the probability density function for particle position, P(X,t), exhibits a slower decay rate than the Gaussian function. Typically, the decay behavior is exponential, referred to as Laplace tails. However, many systems exhibit an even slower decay rate, such as power-law, log-normal, or stretched exponential. In this study, we utilize the continuous-time random walk method to investigate the rare events in particle hopping dynamics and find that the properties of the hop size distribution induce a critical transition between the Laplace universality of rare events and a more specific, slower decay of P(X,t). Specifically, when the hop size distribution decays slower than exponential, such as e^{-|x|^{β}} (β>1), the Laplace universality no longer applies, and the decay is specific, influenced by a few large events, rather than by the accumulation of many smaller events that give rise to Laplace tails.
通过大量分析非均匀介质中稀有事件统计的实验,发现许多情况下粒子位置的概率密度函数(P(X,t))的衰减速率比高斯函数慢。通常,衰减行为是指数形式的,称为拉普拉斯尾部。然而,许多系统表现出更慢的衰减速率,如幂律、对数正态或拉伸指数形式。在本研究中,我们利用连续时间随机游走方法研究粒子跳跃动力学中的稀有事件,发现跳跃大小分布的性质在稀有事件的拉普拉斯普遍性与(P(X,t))更特殊、更慢的衰减之间引发了一个临界转变。具体而言,当跳跃大小分布的衰减比指数形式慢,如(e^{-|x|^{β}})((β>1))时,拉普拉斯普遍性不再适用,衰减是特殊的,受少数大事件影响,而不是由许多产生拉普拉斯尾部的较小事件的积累所导致。