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Minimax methods for open-loop equilibria in N-person differential games. Part I: Linear quadratic games and constrained games*

Published online by Cambridge University Press:  14 November 2011

Goong Chen
Affiliation:
Department of Mathematics and Operations Research, Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A.
Quan Zheng
Affiliation:
Department of Mathematics, Shanghai University of Science and Technology, Shanghai, China
Jian-Xin Zhou
Affiliation:
Department of Mathematics, Pennsylvania State University, University Park, Pennsylvania 16802, U.S.A.

Synopsis

In [13], Nikaido and Isoda generalised von Neumann's symmetrisation method for matrix games. They showed that N-person noncooperative games can be treated by a minimax method.

We apply this method to N-person differential games. Lukes and Russell [11] first studied N-person nonzero sum linear quadratic games in 1971. Here we have reproduced and strengthened their results. The existence and uniqueness of equilibria are completely determined by the invertibility of the decision operator, and the nonuniqueness of equilibrium strategies is only up to a finite dimensional subspace of the space of all admissible strategies.

In the constrained case, we have established an existence result for games with a much weaker convexity assumption subject to compact convex constraints. We have also derived certain results for games with noncompact constraints. Several examples of quadratic and non-quadratic games are given to illustrate the theorem.

Numerical computations are also possible and are given in the sequel [3].

Type
Research Article
Copyright
Copyright © Royal Society of Edinburgh 1986

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