Author
Listed:
- Andrea Garuglieri
(Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy)
- Dario Madeo
(Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy)
- Chiara Mocenni
(Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy)
- Giulia Palma
(Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy)
- Simone Rinaldi
(Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100 Siena, Italy)
Abstract
We explore strong Nash equilibria in the max k -cut game on an undirected and unweighted graph with a set of k colors. Here, the vertices represent players, and the edges denote their relationships. Each player, v , selects a color as its strategy, and its payoff (or utility) is determined by the number of neighbors of v who have chosen a different color. Limited findings exist on the existence of strong equilibria in max k -cut games. In this paper, we make advancements in understanding the characteristics of strong equilibria. Specifically, our primary result demonstrates that optimal solutions are seven-robust equilibria. This implies that for a coalition of vertices to deviate and shift the system to a different configuration, i.e., a different coloring, a number of coalition vertices greater than seven is necessary. Then, we establish some properties of the minimal subsets concerning a robust deviation, revealing that each vertex within these subsets will deviate toward the color of one of its neighbors.
Suggested Citation
Andrea Garuglieri & Dario Madeo & Chiara Mocenni & Giulia Palma & Simone Rinaldi, 2024.
"Optimal Coloring Strategies for the Max k -Cut Game,"
Mathematics, MDPI, vol. 12(4), pages 1-15, February.
Handle:
RePEc:gam:jmathe:v:12:y:2024:i:4:p:604-:d:1340883
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