On the Turnpike Property for Mean Field Games

Authors

  • Alessio Porretta Author

Keywords:

Mean field games, monotonicity, ergodic stationary state, exponential turnpike prop erty, optimal control.

Abstract

Weconsider the behavior of mean field games systems in the long horizon, under the assumption of monotonicity of the coupling term. Assuming that the Hamiltonian is globally Lipschitz and locally uniformly convex, we show that the time dependent solution is exponentially close to the ergodic stationary state in the long intermediate stages. This is evidence of the socalled exponential turnpike property for optimal control problems. Indeed, our proof follows a general approach which relies on the stabilization through the Riccati feedback of the associated linearized system.

Downloads

Download data is not yet available.

Downloads

Published

2018-07-05

How to Cite

On the Turnpike Property for Mean Field Games. (2018). Minimax Theory and Its Applications, 3(2), 285–312. http://journalmta.com/index.php/jmta/article/view/48