Abstract
In this paper, we consider a class of n-person noncooperative games, where the utility function of every player is given by a homogeneous polynomial defined by the payoff tensor of that player, which is a natural extension of the bimatrix game where the utility function of every player is given by a quadratic form defined by the payoff matrix of that player. We will call such a problem the multilinear game. We reformulate the multilinear game as a tensor complementarity problem, a generalization of the linear complementarity problem; and show that finding a Nash equilibrium point of the multilinear game is equivalent to finding a solution of the resulted tensor complementarity problem. Especially, we present an explicit relationship between the solutions of the multilinear game and the tensor complementarity problem, which builds a bridge between these two classes of problems. We also apply a smoothing-type algorithm to solve the resulted tensor complementarity problem and give some preliminary numerical results for solving the multilinear games.
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Acknowledgments
The authors are very grateful to the editor and the two anonymous referees for their valuable suggestions and comments, which have considerably improve the presentation of this paper. The first author’s work was supported by the National Natural Science Foundation of China (Grant No. 11431002) and the second author’s work was supported by the Hong Kong Research Grant Council (Grant No. PolyU 502111, 501212, 501913 and 15302114).
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Huang, ZH., Qi, L. Formulating an n-person noncooperative game as a tensor complementarity problem. Comput Optim Appl 66, 557–576 (2017). https://doi.org/10.1007/s10589-016-9872-7
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DOI: https://doi.org/10.1007/s10589-016-9872-7