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We reprove the results on the hardness of approximating hypergraph coloring using a different technique based on bounds on the size of extremal $t$-agreeing families of $[q]^n$. Specifically, using theorems of Frankl-Tokushige [FT99], Ahlswede-Khachatrian [AK98] and Frankl [F76] on the size of such families, we give simple and unified proofs of quasi NP-hardness of the following problems: $bullet$ coloring a $3$ colorable $4$-uniform hypergraph with $(log n)^delta$ many colors $bullet$ coloring a $3$ colorable $3$-uniform hypergraph with $tilde{O}(sqrt{log log n})$ many colors $bullet$ coloring a $2$ colorable $6$-uniform hypergraph with $(log n)^delta$ many colors $bullet$ coloring a $2$ colorable $4$-uniform hypergraph with $tilde{O}(sqrt{log log n})$ many colors where $n$ is the number of vertices of the hypergraph and $delta>0$ is a universal constant.
A rainbow $q$-coloring of a $k$-uniform hypergraph is a $q$-coloring of the vertex set such that every hyperedge contains all $q$ colors. We prove that given a rainbow $(k - 2lfloor sqrt{k}rfloor)$-colorable $k$-uniform hypergraph, it is NP-hard to
The first-fit coloring is a heuristic that assigns to each vertex, arriving in a specified order $sigma$, the smallest available color. The problem Grundy Coloring asks how many colors are needed for the most adversarial vertex ordering $sigma$, i.e.
Motivated by the Erdos-Faber Lovasz conjecture (EFL) for hypergraphs, we explore relationships between several conjectures on the edge coloring of linear hypergraphs. In particular, we are able to increase the class of hypergraphs for which EFL is true.
The isomorphism problem is known to be efficiently solvable for interval graphs, while for the larger class of circular-arc graphs its complexity status stays open. We consider the intermediate class of intersection graphs for families of circular ar
We construct an explicit family of 3XOR instances which is hard for $O(sqrt{log n})$ levels of the Sum-of-Squares hierarchy. In contrast to earlier constructions, which involve a random component, our systems can be constructed explicitly in determin