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Article . 2023
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The Chromatic Number of Kneser Hypergraphs via Consensus Division

The chromatic number of Kneser hypergraphs via consensus division
Authors: Ishay Haviv;

The Chromatic Number of Kneser Hypergraphs via Consensus Division

Abstract

We show that the Consensus Division theorem implies lower bounds on the chromatic number of Kneser hypergraphs, offering a novel proof for a result of Alon, Frankl, and Lovász and for its generalization by Kříž. Our approach is applied to study the computational complexity of the total search problem Kneser p , which given a succinct representation of a coloring of a p -uniform Kneser hypergraph with fewer colors than its chromatic number asks to find a monochromatic hyperedge. We prove that for every prime p , the Kneser p problem with an extended access to the input coloring is efficiently reducible to a quite weak approximation of the Consensus Division problem with p shares. In particular, for p =2, the problem is efficiently reducible to any non-trivial approximation of the Consensus Halving problem on normalized monotone functions. We further show that for every prime p , the Kneser p problem lies in the complexity class PPA -p . As an application, we establish limitations on the complexity of the Kneser p problem, restricted to colorings with a bounded number of colors.

Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Computational Complexity (cs.CC), Hypergraphs, consensus division, 510, 004, complexity classes, Computer Science - Computational Complexity, Coloring of graphs and hypergraphs, the complexity classes PPA-p, Graph theory (including graph drawing) in computer science, FOS: Mathematics, Complexity classes (hierarchies, relations among complexity classes, etc.), Mathematics - Combinatorics, Algebraic Topology (math.AT), Mathematics - Algebraic Topology, Combinatorics (math.CO), Kneser hypergraphs, Computer Science - Discrete Mathematics, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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