This research paper explores the relationship between the chromatic number of Kneser hypergraphs and the consensus division problem.
Bibliographic Information: Haviv, I. (2024). The Chromatic Number of Kneser Hypergraphs via Consensus Division [Computer Science]. arXiv. arXiv:2311.09016v2
Research Objective: The paper aims to establish a novel connection between two seemingly disparate areas: determining the chromatic number of Kneser hypergraphs (a graph theory problem) and the consensus division problem (a fair division problem).
Methodology: The authors utilize a novel proof technique that leverages the Consensus Division theorem to establish a lower bound for the chromatic number of Kneser hypergraphs. This approach diverges from traditional methods relying on topological tools, offering a new perspective on the problem. Furthermore, the authors explore the computational complexity implications of their proof by constructing a reduction from the KNESERp problem, which seeks a monochromatic hyperedge in a Kneser hypergraph, to the CON-p-DIVISION problem, which aims to divide an interval into pieces with equal value according to given functions.
Key Findings: The paper presents a new proof for Kˇr´ıˇz’s lower bound on the chromatic number of Kneser hypergraphs using the Consensus Division theorem. This connection allows for an efficient reduction from the KNESERp problem with subset queries to a weak approximation of the CON-p-DIVISION problem. Specifically, the KNESER problem with subset queries is reducible to the CON-HALVING[<1] problem on normalized monotone functions. Additionally, the paper demonstrates that the KNESERp problem belongs to the complexity class PPA-p for any prime p.
Main Conclusions: The research highlights a deep and previously unexplored connection between graph coloring and fair division problems. The reduction from KNESERp to approximate CON-p-DIVISION opens new avenues for understanding the computational complexity of these problems. The membership of KNESERp in PPA-p provides further insight into its complexity.
Significance: This work significantly contributes to the fields of graph theory and computational complexity by uncovering a novel link between Kneser hypergraph coloring and consensus division. This connection offers a fresh perspective on both problems and paves the way for future research in both areas.
Limitations and Future Research: The paper primarily focuses on theoretical connections and complexity results. Further research could explore practical algorithms leveraging these insights to solve Kneser hypergraph coloring or consensus division problems more efficiently. Additionally, investigating the tightness of the reduction and exploring potential applications in other domains could be promising research directions.
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by Ishay Haviv lúc arxiv.org 11-25-2024
https://arxiv.org/pdf/2311.09016.pdfYêu cầu sâu hơn