Fast Algorithms for Rank-1 Bimatrix Games

成果类型:
Article
署名作者:
Adsul, Bharat; Garg, Jugal; Mehta, Ruta; Sohoni, Milind; von Stengel, Bernhard
署名单位:
Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Bombay; University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign; University of London; London School Economics & Political Science
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.2020.1981
发表日期:
2021
页码:
613-631
关键词:
bimatrix game Nash equilibrium rank-1 game Polynomial-time algorithm homeomorphism
摘要:
The rank of a bimatrix game is the matrix rank of the sum of the two payoff matrices. This paper comprehensively analyzes games of rank one and shows the following: (1) For a game of rank r, the set of its Nash equilibria is the intersection of a generically one-dimensional set of equilibria of parameterized games of rank r - 1 with a hyperplane. (2) One equilibrium of a rank-1 game can be found in polynomial time. (3) All equilibria of a rank-1 game can be found by following a piecewise linear path. In contrast, such a path-following method finds only one equilibrium of a bimatrix game. (4) The number of equilibria of a rank-1 game may be exponential. (5) There is a homeomorphism between the space of bimatrix games and their equilibrium correspondence that preserves rank. It is a variation of the homeomorphism used for the concept of strategic stability of an equilibrium component.
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