1. Phase transition in a kinetic mean-field game model of inertial self-propelled agents
- Author
-
Grover, Piyush and Huo, Mandy
- Subjects
Mathematics - Optimization and Control ,Electrical Engineering and Systems Science - Systems and Control ,Mathematics - Analysis of PDEs ,Mathematics - Dynamical Systems ,Nonlinear Sciences - Adaptation and Self-Organizing Systems ,35Q89, 37L15, 91A16, 93E20, 49L12 - Abstract
The framework of Mean-field Games (MFGs) is used for modelling the collective dynamics of large populations of non-cooperative decision-making agents. We formulate and analyze a kinetic MFG model for an interacting system of non-cooperative motile agents with inertial dynamics and finite-range interactions, where each agent is minimizing a biologically inspired cost function. By analyzing the associated coupled forward-backward in time system of nonlinear Fokker-Planck and Hamilton-Jacobi-Bellman equations, we obtain conditions for closed-loop linear stability of the spatially homogeneous MFG equilibrium that corresponds to an ordered state with non-zero mean speed. Using a combination of analysis and numerical simulations, we show that when energetic cost of control is reduced below a critical value, this equilibrium loses stability, and the system transitions to a travelling wave solution. Our work provides a game-theoretic perspective to the problem of collective motion in non-equilibrium biological and bio-inspired systems.
- Published
- 2024