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A fictitious-play finite-difference method for linearly solvable mean field games

Authors: Daisuke Inoue; Yuji Ito; Takahito Kashiwabara; Norikazu Saito; Hiroaki Yoshida;

A fictitious-play finite-difference method for linearly solvable mean field games

Abstract

An iterative finite difference scheme for mean field games (MFGs) is proposed. The target MFGs are derived from control problems for multidimensional systems with advection terms. For such MFGs, linearization using the Cole-Hopf transformation and iterative computation using fictitious play are introduced. This leads to an implementation-friendly algorithm that iteratively solves explicit schemes. The convergence properties of the proposed scheme are mathematically proved by tracking the error of the variable through iterations. Numerical calculations show that the proposed method works stably for both one- and two-dimensional control problems.

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Keywords

Discrete approximations in optimal control, mean field games, Computational methods for problems pertaining to game theory, economics, and finance, Mean field games (aspects of game theory), Numerical Analysis (math.NA), Mathematics - Analysis of PDEs, PDEs in connection with game theory, economics, social and behavioral sciences, Optimization and Control (math.OC), Finite difference methods for initial value and initial-boundary value problems involving PDEs, FOS: Mathematics, Mean field games and control, Mathematics - Numerical Analysis, finite difference methods, fictitious play, Mathematics - Optimization and Control, Cole-Hopf transformation, Analysis of PDEs (math.AP)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid