Saturation (graph theory)

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[[File:C4-saturated graph.svg|thumb|A complete [[multipartite|Template:Mvar-partite graph]], which is [[cycle graph|Template:Mvar]]-saturated]]

In extremal graph theory, given a graph H, a graph G is said to be H-saturated if G does not contain a copy of H as a subgraph, but adding any edge to G creates a copy of H. The saturation number, denoted sat⁡(n,H), is the minimum number of edges in an H-saturated graph on n vertices. The graph saturation problem is the problem of determining sat⁡(n,H) for all graphs H and positive integers n.[1]

The saturation number was introduced in 1964 by Erdős, Hajnal, and Moon as a dual to the extremal number ex⁡(n,H). The extremal number ex⁡(n,H) is the maximum number of edges in an H-saturated graph on n vertices; this is equivalent to its original definition as the maximum number of edges in an n-vertex graph with no copy of H.[2]

Results

Trivially, all complete bipartite graphs (with at least three edges) are [[cycle graph|Template:Mvar]]-saturated, and more generally, all [[multipartite|Template:Mvar-partite graphs]] (with at least k+1 edges) are Template:Mvar-saturated.[3]

Complete graphs

The following theorem exactly determines the saturation number for complete graphs.

Theorem (Erdős, Hajnal, and Moon, 1964). For integers n,r satisfying 2≤r≤n, sat⁡(n,Kr)=(r−2)(n−r+2)+(r−22), and the unique Kr-saturated graph on n vertices and sat⁡(n,Kr) edges is the graph join of Kr−2 and the empty graph K‾n−r+2.[2]

General bounds

It follows from the definitions that sat⁡(n,H)≤ex⁡(n,H). In contrast to the extremal number, however, for a fixed graph H, the saturation number sat⁡(n,H) is always at most linear in n.

Theorem (Kászonyi and Tuza, 1986). For any fixed graph H, if H has an isolated edge, then sat⁡(n,H)=cH+o(1) for some constant cH, and otherwise, sat⁡(n,H)=Θ(n). In particular, sat⁡(n,H)=O(n).[4]

It is conjectured that a stronger form of asymptotic stability holds.

Conjecture (Tuza, 1986). For any graph H, limn→∞sat⁡(n,H)n exists.[5][6]

A survey by Currie, J. Faudree, R. Faudree, and Schmitt describes progress on the graph saturation problem and related problems.[1]

References

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