'Phase diagram' of a mean field game

TL;DR

This paper analyzes the 'seminar problem' in mean field games, providing exact solutions and exploring different regimes, serving as a simplified model to understand complex mean field game behaviors.

Contribution

It offers a detailed analysis of a specific mean field game model, including exact results and regime classifications, enhancing understanding of mean field game solutions.

Findings

Distinct behaviors in different parameter regimes

Exact solutions for the seminar problem

Self-consistent determination of the coupling event

Abstract

Mean field games were introduced by J-M.Lasry and P-L. Lions in the mathematical community, and independently by M. Huang and co-workers in the engineering community, to deal with optimization problems when the number of agents becomes very large. In this article we study in detail a particular example called the 'seminar problem' introduced by O.Gu\'eant, J-M Lasry, and P-L. Lions in 2010. This model contains the main ingredients of any mean field game but has the particular feature that all agent are coupled only through a simple random event (the seminar starting time) that they all contribute to form. In the mean field limit, this event becomes deterministic and its value can be fixed through a self consistent procedure. This allows for a rather thorough understanding of the solutions of the problem, through both exact results and a detailed analysis of various limiting regimes. For a sensible class of initial configurations, distinct behaviors can be associated to different domains in the parameter space . For this reason, the 'seminar problem' appears to be an interesting toy model on which both intuition and technical approaches can be tested as a preliminary study toward more complex mean field game models.