Year: 2024
Type: article
Abstract: The continuous time random walk model has been widely applied in various fields, including physics, biology, chemistry, finance, social phenomena, etc. In this work, we present an algorithm that utilizes a subordinate formula to generate data of the continuous time random walk in the long time limit. The algorithm has been validated using commonly employed observables, such as typical fluctuations of the positional distribution, rare fluctuations, the mean and the variance of the position, and breakthrough curves with time-dependent bias, demonstrating a perfect match.
Source: Physical review. E
Authors: Danhua Jiang, Yuanze Hong, Wanli Wang
Institution: Zhejiang University of Technology
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Awards: 非局部浮游植物竞争模型的时空演化机制研究, G6128674456
OpenAlex ID: W4402270720
