arXiv · 2408.00299
Simulation of the continuous-time random walk using subordination schemes
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.
Explore related subjects
Keep this discovery
Danhua Jiang, Yuanze Hong, Wanli Wang. 2024-08-01. Simulation of the continuous-time random walk using subordination schemes. https://doi.org/10.1103/physreve.110.034113
Cite the original work for its findings. Save a collection to share your selection of sources.