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Simple games versus weighted voting games: bounding the critical threshold value

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Abstract

A simple game (Nv) is given by a set N of n players and a partition of \(2^N\) into a set \(\mathcal {L}\) of losing coalitions L with value \(v(L)=0\) that is closed under taking subsets and a set \(\mathcal {W}\) of winning coalitions W with value \(v(W)=1\). We let \(\alpha = \min _{p\geqslant {\varvec{0}}, p\ne {\varvec{0}}}\max _{W\in \mathcal{W}, L\in \mathcal{L}} \frac{p(L)}{p(W)}\). It is known that the subclass of simple games with \(\alpha <1\) coincides with the class of weighted voting games. Hence, \(\alpha \) can be seen as a measure of the distance between a simple game and the class of weighted voting games. We prove that \(\alpha \leqslant \frac{1}{4}n\) holds for every simple game (Nv), confirming the conjecture of Freixas and Kurz (Int J Game Theory 43:659–692, 2014). For complete simple games, Freixas and Kurz conjectured that \(\alpha =O(\sqrt{n})\). We also prove this conjecture, up to an \(\ln n\) factor. Moreover, we prove that for graphic simple games, that is, simple games in which every minimal winning coalition has size 2, the problem of computing \(\alpha \) is NP-hard, but polynomial-time solvable if the underlying graph is bipartite. Finally, we show that for every graphic simple game, deciding if \(\alpha <\alpha _0\) is polynomial-time solvable for every fixed \(\alpha _0>0\).

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Notes

  1. A related notion, introduced by Freixas and Marciniak (2010), is that of the codimension of a simple game (Nv), which is the smallest number of weighed voting games whose union equals (Nv). Here, the union of two simple games \((N,v_1)\) and \((N,v_2)\) with sets of winning coalitions \(\mathcal{W}_1\) and \(\mathcal{W}_2\), respectively, is the simple game (Nv) with set of winning coalitions \(\mathcal{W}=\mathcal{W}_1\cup \mathcal{W}_2\).

  2. The notion of a blocker was originally defined by Edmonds and Fulkerson (1970) as the collection of minimal covers, but for simplicity of exposition, we define it as the collection of all covers.

  3. For every nonempty polyhedron P, the program \(\min \{\left||p \right||^2_2\,|\, p\in P\}\) is a feasible convex quadratic program with a strictly convex objective function, where all values of the function are bounded from below by 0. Hence, \(\min \{\left||p \right||^2_2\,|\, p\in P\}\), and consequently \(\min \{\left||p \right||_2\,|\, p\in P\}\), has a unique optimal solution (see, for example, Borwein and Lewis 2000).

  4. This result and a proof have appeared in an extended abstract published in the proceedings of SAGT 2018 (Hof et al. 2018). As outlined by one of the referees, the proof given there contained a mistake and we include a correct proof in this paper resulting in a slightly weaker upper bound.

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Acknowledgements

The second and fifth author thank Péter Biró and Hajo Broersma for fruitful discussions on the topic of the paper. The fourth author thanks Ahmad Abdi for valuable and helpful discussions. We also thank two anonymous reviewers for helpful comments.

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Correspondence to Daniël Paulusma.

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A partial answer to the conjecture of Freixas and Kurz appeared, together with the results in Sects. 3 and 4 of this paper, in an extended abstract published in the proceedings of SAGT 2018 (Hof et al. 2018).

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Hof, F., Kern, W., Kurz, S. et al. Simple games versus weighted voting games: bounding the critical threshold value. Soc Choice Welf 54, 609–621 (2020). https://doi.org/10.1007/s00355-019-01221-6

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