2015•Sbornik MathematicsRequires access

A minimax approach to mean field games

Yurii Vladimirovich Averboukh

Open publisher page 5 citations

Abstract

An initial boundary value problem for the system of equations of a determined mean field game is considered. The proposed definition of a generalized solution is based on the minimax approach to the Hamilton-Jacobi equation. We prove the existence of the generalized (minimax) solution using the Nash equilibrium in the auxiliary differential game with infinitely many identical players. We show that the minimax solution of the original system provides the -Nash equilibrium in the differential game with a finite number of players. Bibliography: 34 titles.

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An initial boundary value problem for the system of equations of a determined mean field game is considered. The proposed definition of a generalized solution is based on the minimax approach to the Hamilton-Jacobi equation. We prove the existence of the generalized (minimax) solution using the Nash equilibrium in the auxiliary differential game with infinitely many identical players. We show that the minimax solution of the original system provides the -Nash equilibrium in the differential game with a finite number of players. Bibliography: 34 titles.

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Available abstract

An initial boundary value problem for the system of equations of a determined mean field game is considered. The proposed definition of a generalized solution is based on the minimax approach to the Hamilton-Jacobi equation. We prove the existence of the generalized (minimax) solution using the Nash equilibrium in the auxiliary differential game with infinitely many identical players. We show that the minimax solution of the original system provides the -Nash equilibrium in the differential game with a finite number of players. Bibliography: 34 titles.

Key concepts: Minimax, Mathematical economics, Field (mathematics), Mean field theory, Mathematics, Computer science, Physics, Pure mathematics

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