Edge cover
Template:Short description In graph theory, an edge cover of a graph is a set of edges such that every vertex of the graph is incident to at least one edge of the set. In computer science, the minimum edge cover problem is the problem of finding an edge cover of minimum size. It is an optimization problem that belongs to the class of covering problems and can be solved in polynomial time.
Template:Covering-Packing Problem Pairs
Definition
Formally, an edge cover of a graph Template:Mvar is a set of edges Template:Mvar such that each vertex in Template:Mvar is incident with at least one edge in Template:Mvar. The set Template:Mvar is said to cover the vertices of Template:Mvar. The following figure shows examples of edge coverings in two graphs (the set Template:Mvar is marked with red).
A minimum edge covering is an edge covering of smallest possible size. The edge covering number Template:Math is the size of a minimum edge covering. The following figure shows examples of minimum edge coverings (again, the set Template:Mvar is marked with red).
Note that the figure on the right is not only an edge cover but also a matching. In particular, it is a perfect matching: a matching Template:Mvar in which every vertex is incident with exactly one edge in Template:Mvar. A perfect matching (if it exists) is always a minimum edge covering.
Examples
- The set of all edges is an edge cover, assuming that there are no degree-0 vertices.
- The complete bipartite graph Template:Mvar has edge covering number Template:Math.
Algorithms
A smallest edge cover can be found in polynomial time by finding a maximum matching and extending it greedily so that all vertices are covered.[1][2] In the following figure, a maximum matching is marked with red; the extra edges that were added to cover unmatched nodes are marked with blue. (The figure on the right shows a graph in which a maximum matching is a perfect matching; hence it already covers all vertices and no extra edges were needed.)
On the other hand, the related problem of finding a smallest vertex cover is an NP-hard problem.[1]
Looking at the image it already becomes obvious why, for a given minimum edge cover and maximum matching , letting and be the number of edges in and respectively, we have:[3] . Indeed, contains a maximum matching, so the edges of can be decomposed between the edges of a maximum matching, covering vertices, and the other edges that each cover one other vertex. Thus, as covers all of the vertices, we have giving the desired equality.
See also
- Vertex cover
- Set cover – the edge cover problem is a special case of the set cover problem: the elements of the universe are vertices, and each subset covers exactly two elements.
Notes
References
- ↑ 1.0 1.1 Template:Harvtxt, p. 79, uses edge cover and vertex cover as one example of a pair of similar problems, one of which can be solved in polynomial time while the other one is NP-hard. See also p. 190.
- ↑ Template:Citation.
- ↑ Template:Cite web