Paper detail

Approximability of the upper chromatic number of hypergraphs

A C-coloring of a hypergraph ${\cal H}=(X,{\cal E})$ is a vertex coloring $φ: X\to {\mathbb{N}}$ such that each edge $E\in{\cal E}$ has at least two vertices with a common color. The related parameter $\overlineχ({\cal H})$, called the upper chromatic number of ${\cal H}$, is the maximum number of colors can be used in a C-coloring of ${\cal H}$. A hypertree is a hypergraph which has a host tree $T$ such that each edge $E\in {\cal E}$ induces a connected subgraph in $T$. Notations $n$ and $m$ stand for the number of vertices and edges, respectively, in a generic input hypergraph. We establish guaranteed polynomial-time approximation ratios for the difference $n-\overlineχ({\cal H})$, which is $2+2 \ln (2m)$ on hypergraphs in general, and $1+ \ln m$ on hypertrees. The latter ratio is essentially tight as we show that $n-\overlineχ({\cal H})$ cannot be approximated within $(1-ε) \ln m$ on hypertrees (unless ${\sf NP} \subseteq {\sf DTIME} (n^{{\cal O}(log\;log\; n)})$). Furthermore, $\overlineχ({\cal H})$ does not have ${\cal O}(n^{1-ε})$-approximation and cannot be approximated within additive error $o(n)$ on the class of hypertrees (unless ${\sf P}={\sf NP}$).

preprint2013arXivOpen access

Signal facts

What is known right now

Open access2 authors1 topic

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.