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Conditioned backward and forward times of diffusion with stochastic resetting: A renewal theory approach
Physical Review E ( IF 2.2 ) Pub Date : 2022-09-16 , DOI: 10.1103/physreve.106.034126
Axel Masó-Puigdellosas 1 , Daniel Campos 1 , Vicenç Méndez 1
Affiliation  

Stochastic resetting can be naturally understood as a renewal process governing the evolution of an underlying stochastic process. In this work, we formally derive well-known results of diffusion with resets from a renewal theory perspective. Parallel to the concepts from renewal theory, we introduce the conditioned backward B and forward F times being the times since the last and until the next reset, respectively, given that the current state of the system X(t) is known. These magnitudes are introduced with the paradigmatic case of diffusion under resetting, for which the backward and forward times are conditioned to the position of the walker. We find analytical expressions for the conditioned backward and forward time probability density functions (PDFs), and we compare them with numerical simulations. The general expressions allow us to study particular scenarios. For instance, for power-law reset time PDFs such that φ(t)t1α, significant changes in the properties of the conditioned backward and forward times happen at half-integer values of α due to the composition between the long-time scaling of diffusion P(x,t)1/t and the reset time PDF.

中文翻译:

具有随机重置的条件扩散的向后和向前时间:更新理论方法

随机重置可以自然地理解为控制潜在随机过程演变的更新过程。在这项工作中,我们从更新理论的角度正式得出了众所周知的带有重置的扩散结果。与更新理论的概念平行,我们引入了条件倒退并转发F时间分别是自上次重置以来和直到下一次重置的时间,给定系统的当前状态X()是已知的。这些量级是在重置下的扩散的典型案例中引入的,其中向后和向前的时间以步行者的位置为条件。我们找到条件后向和前向时间概率密度函数 (PDF) 的解析表达式,并将它们与数值模拟进行比较。一般表达式允许我们研究特定场景。例如,对于幂律重置时间 PDF,这样φ()-1-α,条件后向和前向时间的属性的显着变化发生在α由于扩散的长时间缩放之间的成分(X,)1/和重置时间PDF。
更新日期:2022-09-16
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