EconPapers    
Economics at your fingertips  
 

Unit vector games

Bernhard von Stengel and Rahul Savani

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: McLennan and Tourky (2010) showed that “imitation games” provide a new view of the computation of Nash equilibria of bimatrix games with the Lemke–Howson algorithm. In an imitation game, the payoff matrix of one of the players is the identity matrix. We study the more general “unit vector games”, which are already known, where the payoff matrix of one player is composed of unit vectors. Our main application is a simplification of the construction by Savani and von Stengel (2006) of bimatrix games where two basic equilibrium-finding algorithms take exponentially many steps: the Lemke–Howson algorithm, and support enumeration.

Keywords: bimatrix game; Nash equilibrium computation; imitation game; Lemke–Howson algorithm; unit vector game (search for similar items in EconPapers)
JEL-codes: J1 (search for similar items in EconPapers)
Date: 2016-01-27
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in International Journal of Economic Theory, 27, January, 2016, 12(1), pp. 7-27. ISSN: 1742-7363

Downloads: (external link)
http://eprints.lse.ac.uk/65506/ Open access version. (application/pdf)

Related works:
Journal Article: Unit vector games (2016) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:65506

Access Statistics for this paper

More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().

 
Page updated 2025-03-31
Handle: RePEc:ehl:lserod:65506