Improved Amenability Bounds for Local Coordination Games

Fuente: arXiv
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Auteurs principaux: Peretz, Ron, Kraizberg, Dean
Format: Preprint
Publié: 2026
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author Peretz, Ron
Kraizberg, Dean
author_facet Peretz, Ron
Kraizberg, Dean
contents We study local pure coordination games on finite social networks, continuing the framework of Hutchcroft, Rospuskova, and Tamuz. They showed that low inefficiency in local coordination forces the underlying graph to be amenable, with a square-root loss in the amenability parameter. We improve this loss in the binary unbiased setting. Using Shapley values of a mutual-information game associated with the players' local outputs, we prove that if the average disagreement is at most $\varepsilon$, then the graph is $(O(\varepsilon\log(1/\varepsilon)),r)$-amenable. This gives a sharper quantitative converse between local coordination and graph amenability.
format Preprint
id arxiv_https___arxiv_org_abs_2606_01963
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Improved Amenability Bounds for Local Coordination Games
Peretz, Ron
Kraizberg, Dean
Computer Science and Game Theory
Information Theory
Probability
We study local pure coordination games on finite social networks, continuing the framework of Hutchcroft, Rospuskova, and Tamuz. They showed that low inefficiency in local coordination forces the underlying graph to be amenable, with a square-root loss in the amenability parameter. We improve this loss in the binary unbiased setting. Using Shapley values of a mutual-information game associated with the players' local outputs, we prove that if the average disagreement is at most $\varepsilon$, then the graph is $(O(\varepsilon\log(1/\varepsilon)),r)$-amenable. This gives a sharper quantitative converse between local coordination and graph amenability.
title Improved Amenability Bounds for Local Coordination Games
topic Computer Science and Game Theory
Information Theory
Probability
url https://arxiv.org/abs/2606.01963