The Max k-Cut Game: On Stable Optimal Colorings
Chiara Mocenni, Dario Madeo, Andrea Garuglieri, Simone Rinaldi and, Giulia Palma

TL;DR
This paper investigates the stability of optimal solutions in the max k-cut game, demonstrating that they are 7-stable equilibria and analyzing properties of subsets with strong deviations.
Contribution
It introduces an alternative formula for cut value differences and establishes that optimal solutions are 7-stable equilibria in the max k-cut game.
Findings
Optimal solutions are 7-stable equilibria.
Nodes in deviation subsets tend to adopt neighbors' colors.
Deviating subsets induce connected subgraphs.
Abstract
We study the max k-cut game on an undirected and unweighted graph in order to find out whether an optimal solution is also a strong equilibrium. While we do fail to show that, by proving an alternate formula for computing the cut value difference for a strong deviation, we show that optimal solutions are 7-stable equilibria. Furthermore, we prove some properties of minimal subsets with respect to a strong deviation, showing that each of their nodes will deviate towards the color of one of their neighbors and that those subsets induce connected subgraphs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Applications · Advanced Graph Theory Research · Game Theory and Voting Systems
