On the complete width and edge clique cover problems
Statement
What is the computational complexity of COMPLETE WIDTH on -free graphs?
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Problem: Reconstructed decision problem: given a finite simple graph that is -free and an integer , decide whether the complete width . Here is the minimum number of independent sets of whose union, as pairs, covers every non-edge of . Equivalently, for , this is EDGE CLIQUE COVER: . Since , the equivalent problem is EDGE CLIQUE COVER on -free graphs.
Result: The problem is NP-complete.
Proof sketch. Reduce from VERTEX COVER on graphs of girth at least , which is NP-complete.
Given such an , construct a graph . For each edge , create a vertex , and add one vertex adjacent to every . If two edges of share an endpoint, add edge . For every such incident pair , add a vertex adjacent exactly to . Let
The graph is -free: any induced using some would have adjacent neighbors , giving a chord; any induced using has a chord through ; and an induced inside the -vertices would correspond to a -cycle in , impossible since has girth at least .
Every forces one clique , so any edge clique cover has at least such cliques, and these cliques cover all edges among the 's. The only remaining edges are . A clique containing corresponds to a clique in the line graph ; since is triangle-free, every such clique consists of edges incident to a single vertex of . Thus covering all edges is exactly choosing vertices of incident to every edge, i.e. a vertex cover. Therefore
where is the vertex-cover number of .
Hence has a vertex cover of size at most iff has an edge clique cover of size at most . This proves EDGE CLIQUE COVER is NP-hard on -free graphs. It is plainly in NP. Taking complements gives NP-completeness of COMPLETE WIDTH on -free graphs.
Citation: The reduction uses the standard NP-completeness of VERTEX COVER/INDEPENDENT SET on graphs of girth at least , e.g. O. J. Murphy, “Computing independent sets in graphs with large girth,” Discrete Applied Mathematics 35 (1992), 167–170.
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model says: correctGPT-5.5 xhigh (SMD judge 1)scope Full solution as submitted; SMD novelty classification TYPE2
PASS
The reduction targets the correct equivalent problem: EDGE CLIQUE COVER on -free graphs, hence COMPLETE WIDTH on -free graphs by complementation.
The construction is sound. The graph is induced--free: each is simplicial, cannot lie in an induced , and an induced among the ’s would give a -cycle in . The clique-cover count also works: the vertices force at least non- cliques, and the cliques containing correspond exactly to choosing vertices of the triangle-free graph that cover all edges, giving . Thus the reduction from VERTEX COVER on girth-at-least-5 graphs proves NP-hardness; membership in NP is immediate.
I found no existing similar or stronger published result resolving the -free / -free case in the literature search.
Novelty assessment
TYPE2
Classification rationale: This appears to be a genuine resolution of the open case: EDGE CLIQUE COVER is NP-complete on -free graphs, equivalently COMPLETE WIDTH is NP-complete on -free graphs. The result is narrow and the reduction is short, so it is not top-journal level, but resolving an explicit open complexity question from Le–Peng is substantial enough for a short standalone note in a standard discrete mathematics/theoretical CS venue.
Literature check: I found no prior paper, preprint, survey, or accessible note proving this case or a stronger one. Searches covered the exact formulations “edge clique cover” + “C4-free”, “complete width” + “2K2-free”, variants with , “intersection number”, Springer/arXiv/Bing-indexed sources, and recent ECC literature including Fomin–Golovach–Sagunov–Simonov (2025). The only relevant hits were the original Le–Peng paper leaving the case open, and unrelated vertex clique-cover or other restricted-class results.
Citation: Van Bang Le and Sheng-Lung Peng, “On the complete width and edge clique cover problems,” arXiv:1612.08057 / Journal of Combinatorial Optimization. They state the -free / -free case as open. Also cite O. J. Murphy, “Computing independent sets in graphs with large girth,” Discrete Applied Mathematics 35 (1992), for the source NP-hardness.
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