Abstract
We present a problem described by Mean Field Games (MFG) and Optimal Control theory on finite time horizon. This problem consists of a system of PDEs: a Kolmogorov–Fokker–Planck equation, evolving forward in time and a Hamilton–Jacobi–Bellman equation, evolving backwards in time. The numerical difficulties are based on a turnpike effect considered in this paper. We present an extremal problem whose necessary conditions of extremal satisfy the initial system of PDEs, and introduce its numerical solution at the heart of monotonic schemes. According to special assumptions, PDEs can be reduced to Riccati ODEs. We consider this reduction as a test example for the numerical solution of the extremal problem.
This is a preview of subscription content, access via your institution.


REFERENCES
J.-M. Lasry and P.-L. Lions, ‘‘Jeux á champ moyen. I. Le cas stationnaire,’’ C. R. Math. Acad. Sci. 343, 619–625 (2006).
J.-M. Lasry and P.-L. Lions, ‘‘Mean field games,’’ Jpn. J. Math. 2, 229–260 (2007).
O. Guéant, J.-M. Lasry, and P.-L. Lions, ‘‘Mean field games and applications,’’ in Paris-Princeton Lectures on Mathematical Finance 2010, Lect. Notes Math. 2003, 205–266 (2011).
M. Huang, P. E. Caines, and R. P. Malhamé, ‘‘The NCE (mean field) principle with locality dependent cost interactions,’’ IEEE Trans. Autom. Control 55, 2799–2805 (2010).
L. Fatone, F. Mariani, M. C. Recchioni, and F. Zirilli, ‘‘A trading execution model based on mean field games and optimal control,’’ Appl. Math. 5, 3091–3116 (2014).
P. E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations (Springer, Berlin, Heidelberg, 1992).
A. Bensoussan, J. Frehse, and P. Yam, Mean Field Games and Mean Field Type Control Theory (Springer, New York, 2013).
Y. Achdou, F. Camilli, and I. Capuzzo-Dolcetta, ‘‘Mean field games: numerical methods for the planning problem,’’ SIAM J. Control Optim. 50, 77–109 (2012).
J.-M. Lasry and P.-L. Lions, ‘‘Jeux á champ moyen. II. Horizon fini et controle optimal,’’ C. R. Math. Acad. Sci. 343, 679–684 (2006).
E. Coddington and N. Levinson, Theory of Ordinary Differential Equations (McGraw-Hill, New York, 1955).
A. N. Tikhonov and A. A. Samarskii, Equations of Mathematical Physics (Pergamon, Oxford, 1963).
A. Lachapelle, J. Salomon, and G. Turinici, ‘‘Computation of mean field equilibria in economics,’’ Math. Models Methods Appl. Sci. 20, 567–588 (2010).
A. V. Gulin and A. A. Samarskiy, Numerical Methods (Nauka, Moscow, 1989) [in Russian].
J. Salomon and G. Turinici, ‘‘A monotonic method for solving nonlinear optimal control problems with concave dependence on the state,’’ Int. J. Control 84, 551–562 (2011).
E. Trélat and E. Zuazua, ‘‘The turnpike property in finite-dimensional nonlinear optimal control,’’ J. Differ. Equat. 258, 81–114 (2015).
J. Stoer and R. Bulirsch, Introduction to Numerical Analysis (Springer, New York, 1980).
L. F. Shampine and J. Kierzenka, ‘‘A BVP solver that controls residual and error,’’ J. Numer. Anal. Ind. Appl. Math. 3, 27–41 (2008).
N. V. Trusov, ‘‘Application of mean field games approximation to economic processes modeling,’’ Tr. ISA RAN 68, 88–91 (2018).
ACKNOWLEDGMENTS
The author would like to express his sincere gratitude to scientific leader, corresponding member of the Russian Academy of Sciences, Doctor of Physical and Mathematical sciences, A. A. Shananin for the guidance and help with Mean Field Games and Optimal Control theory.
Funding
The work has been supported by RSF (grant 16-11-10246).
Author information
Authors and Affiliations
Corresponding author
Additional information
(Submitted by A. V. Lapin)
Rights and permissions
About this article
Cite this article
Trusov, N.V. Numerical Solution of Mean Field Games Problems with Turnpike Effect. Lobachevskii J Math 41, 561–576 (2020). https://doi.org/10.1134/S1995080220040253
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1134/S1995080220040253
Keywords and phrases:
- mean field games
- optimal control
- turnpike effect
- numerical solution
- monotonic schemes