English

Radially Symmetric Mean-Field Games with Congestion

Analysis of PDEs 2017-03-23 v1

Abstract

Here, we study radial solutions for first- and second-order stationary Mean-Field Games (MFG) with congestion on Rd\mathbb{R}^d. MFGs with congestion model problems where the agents' motion is hampered in high-density regions. The radial case, which is one of the simplest non one-dimensional MFG, is relatively tractable. As we observe in this paper, the Fokker-Planck equation is integrable with respect to one of the unknowns. Consequently, we obtain a single equation substituting this solution into the Hamilton-Jacobi equation. For the first-order case, we derive explicit formulas; for the elliptic case, we study a variational formulation of the resulting equation. In both cases, we use our approach to compute numerical approximations to the solutions of the corresponding MFG systems.

Keywords

Cite

@article{arxiv.1703.07594,
  title  = {Radially Symmetric Mean-Field Games with Congestion},
  author = {David Evangelista and Diogo A. Gomes and Levon Nurbekyan},
  journal= {arXiv preprint arXiv:1703.07594},
  year   = {2017}
}

Comments

6 pages, 12 figures, submitted to 56th IEEE Conference on Decision and Control