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Comparing the best-reply strategy and mean-field games: The stationary case

Published online by Cambridge University Press:  20 November 2020

MATT BARKER
Affiliation:
Department of Mathematics Imperial College London, London, SW7 2AZ, UK Grantham Institute, Imperial College London, London, SW7 2AZ, UK emails: m.barker17@imperial.ac.uk; p.degond@imperial.ac.uk
PIERRE DEGOND
Affiliation:
Department of Mathematics Imperial College London, London, SW7 2AZ, UK
MARIE-THERESE WOLFRAM
Affiliation:
University of Warwick, Mathematics Institute, Gibbet Hill Road, CV47AL Coventry, UK Radon Institute for Computational and Applied Mathematics, Altenbergerstr. 69, 4040 Linz, Austria email: m.wolfram@warwick.ac.uk

Abstract

Mean-field games (MFGs) and the best-reply strategy (BRS) are two methods of describing competitive optimisation of systems of interacting agents. The latter can be interpreted as an approximation of the respective MFG system. In this paper, we present an analysis and comparison of the two approaches in the stationary case. We provide novel existence and uniqueness results for the stationary boundary value problems related to the MFG and BRS formulations, and we present an analytical and numerical comparison of the two paradigms in some specific modelling situations.

Type
Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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