Continuous-time multi-type Ehrenfest model and related Ornstein-Uhlenbeck diffusion on a star graph
Antonio Di Crescenzo, Barbara Martinucci, Serena Spina

TL;DR
This paper introduces a continuous-time Ehrenfest model on a star graph, analyzes its behavior, and derives a diffusive approximation leading to an Ornstein-Uhlenbeck process with a truncated Gaussian stationary distribution.
Contribution
It extends the Ehrenfest model to a star graph with a detailed analysis and provides a diffusive approximation to an Ornstein-Uhlenbeck process on a spider domain.
Findings
The model's transient and asymptotic behaviors are characterized.
A diffusive approximation to the model is derived and analyzed.
The stationary distribution of the approximating process is a truncated Gaussian.
Abstract
We deal with a continuous-time Ehrenfest model defined over an extended star graph, defined as a lattice formed by the integers of semiaxis joined at the origin. The dynamics on each ray are regulated by linear transition rates, whereas the switching among rays at the origin occurs according to a general stochastic matrix. We perform a detailed investigation of the transient and asymptotic behavior of this process. We also obtain a diffusive approximation of the considered model, which leads to an Ornstein-Uhlenbeck diffusion process over a domain formed by semiaxis joined at the origin, named spider. We show that the approximating process possesses a truncated Gaussian stationary density. Finally, the goodness of the approximation is discussed through comparison of stationary distributions, means and variances.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · stochastic dynamics and bifurcation · Theoretical and Computational Physics
