Synchronization and stability analysis of an exponentially diverging solution in a mathematical model of asymmetrically interacting agents

TL;DR

This paper analyzes the stability and synchronization properties of an exponentially diverging solution in a mathematical model of asymmetrically interacting agents, revealing how growth rates synchronize and oscillations depend on initial conditions.

Contribution

It introduces a novel analytical approach for stability analysis of diverging solutions and uncovers synchronization behavior in a model originally designed for infectious disease dynamics.

Findings

All growth rates synchronize to the smallest rate.

Oscillations occur if the initial value of the slowest agent is small.

The method applies stability analysis to diverging solutions.

Abstract

This study deals with an existing mathematical model of asymmetrically interacting agents. We analyze the following two previously unfocused features of the model: (i) synchronization of growth rates and (ii) initial value dependence of damped oscillation. By applying the techniques of variable transformation and time-scale separation, we perform the stability analysis of a diverging solution. We find that (i) all growth rates synchronize to the same value that is as small as the smallest growth rate and (ii) oscillatory dynamics appear if the initial value of the slowest-growing agent is sufficiently small. Furthermore, our analytical method proposes a way to apply stability analysis to an exponentially diverging solution, which we believe is also a contribution of this study. Although the employed model is originally proposed as a model of infectious disease, we do not discuss its biological relevance but merely focus on the technical aspects.