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Continuous-time random walk model of relaxation of two-state systems

机译:双态系统松弛的连续时间随机游走模型

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摘要

Using the continuous-time random walk (CTRW) approach, we study thephenomenon of relaxation of two-state systems whose elements evolve accordingto a dichotomous process. Two characteristics of relaxation, the probabilitydensity function of the waiting times difference and the relaxation law, are ofour particular interest. For systems characterized by Erlang distributions ofwaiting times, we consider different regimes of relaxation and show that, undercertain conditions, the relaxation process can be non-monotonic. By studyingthe asymptotic behavior of the relaxation process, we demonstrate that heavyand superheavy tails of waiting time distributions correspond to slow andsuperslow relaxation, respectively.
机译:使用连续时间随机游走(CTRW)方法,我们研究了二元系统的弛豫现象,其元素根据二分过程而演化。松弛的两个特征,即等待时间差的概率密度函数和松弛定律,是我们特别感兴趣的。对于以Erlang等待时间分布为特征的系统,我们考虑了不同的弛豫机制,并表明,在一定条件下,弛豫过程可以是非单调的。通过研究松弛过程的渐近行为,我们证明了等待时间分布的重尾和超重尾分别对应于慢和超慢松弛。

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