Lexicographically maximal edges of dual hypergraphs and Nash-solvability of tight game forms

Abstract

Let A = \A1, …, Am\ and B = \B1, …, Bn\ be a pair of dual multi-hypergraphs on the common ground set O = \o1, …, ok\. Note that each of them may have embedded or equal edges. An edge is called containment minimal (or just minimal, for short) if it is not a strict superset of another edge. Yet, equal minimal edges may exist. By duality, (i) A B ≠ for every pair A ∈ A and B ∈ B; (ii) if A is minimal then for every o ∈ A there exists a B ∈ B such that A B = \o\. We will extend claim (ii) as follows. A linear order over O defines a unique lexicographic order L over the 2O. Let A be a lexicographically maximal (lexmax) edge of A. Then, (iii) A is minimal and for every o ∈ A there exists a minimal B ∈ B such that A B = \o\ and o o' for each o' ∈ B. This property has important applications in game theory implying Nash-solvability of tight game forms as shown in the old (1975 and 1989) work of the first author. Here we give a new, very short, proof of (iii). Edges A and B mentioned in (iii) can be found out in polynomial time. This is trivial if A and B are given explicitly. Yet, it is true even if only A is given, and not explicitly, but by a polynomial containment oracle, which for a subset OA ⊂eq O answers in polynomial time whether OA contains an edge of A.

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