Large Supports are Required for Well-Supported Nash Equilibria
Author(s) -
Yogesh Anbalagan,
Hao Huang,
Shachar Lovett,
Sergey Norin,
Adrian Vetta,
Hehui Wu
Publication year - 2015
Publication title -
cornell university
Language(s) - English
Resource type - Conference proceedings
DOI - 10.4230/lipics.approx-random.2015.78
Subject(s) - nash equilibrium , characterization (materials science) , cardinality (data modeling) , constant (computer programming) , graph , computer science , construct (python library) , game theory , mathematics , mathematical economics , combinatorics , discrete mathematics , theoretical computer science , data mining , materials science , programming language , nanotechnology
We prove that for any constant $k$ and any $\epsilon<1$, there exist bimatrix win-lose games for which every $\epsilon$-WSNE requires supports of cardinality greater than $k$. To do this, we provide a graph-theoretic characterization of win-lose games that possess $\epsilon$-WSNE with constant cardinality supports. We then apply a result in additive number theory of Haight to construct win-lose games that do not satisfy the requirements of the characterization. These constructions disprove graph theoretic conjectures of Daskalakis, Mehta and Papadimitriou, and Myers.
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