Hamiltonian decomposition

In graph theory, a branch of mathematics, a Hamiltonian decomposition of a given graph is a partition of the edges of the graph into Hamiltonian cycles. Hamiltonian decompositions have been studied both for undirected graphs and for directed graphs; in the undirected case, a Hamiltonian decomposition can also be described as a 2-factorization of the graph such that each factor is connected.

Walecki's Hamiltonian decomposition of the complete graph

Necessary conditions

For a Hamiltonian decomposition to exist in an undirected graph, the graph must be connected and regular of even degree. A directed graph with such a decomposition must be strongly connected and all vertices must have the same in-degree and out-degree as each other, but this degree does not need to be even.[1]

The medial graph of the Herschel graph is a 4-regular planar graph with no Hamiltonian decomposition. The shaded regions correspond to the vertices of the underlying Herschel graph.

For 4-regular planar graphs, additional necessary conditions can be derived from Grinberg's theorem. An example of a 4-regular planar graph that does not meet these conditions, and does not have a Hamiltonian decomposition, is given by the medial graph of the Herschel graph.[2]

Complete graphs

Every complete graph with an odd number of vertices has a Hamiltonian decomposition. This result, which is a special case of the Oberwolfach problem of decomposing complete graphs into isomorphic 2-factors, was attributed to Walecki by Édouard Lucas in 1892. Walecki's construction places of the vertices into a regular polygon, and covers the complete graph in this subset of vertices with Hamiltonian paths that zigzag across the polygon, with each path rotated from each other path by a multiple of . The paths can then all be completed to Hamiltonian cycles by connecting their ends through the remaining vertex.[3]

Expanding a vertex of a -regular graph into a clique of vertices, one for each endpoint of an edge at the replaced vertex, cannot change whether the graph has a Hamiltonian decomposition. The reverse of this expansion process, collapsing a clique to a single vertex, will transform any Hamiltonian decomposition in the larger graph into a Hamiltonian decomposition in the original graph. Conversely, Walecki's construction can be applied to the clique to expand any Hamiltonian decomposition of the smaller graph into a Hamiltonian decomposition of the expanded graph. This expansion process can be used to produce arbitrarily large vertex-transitive graphs and Cayley graphs of even degree that do not have Hamiltonian decompositions.[4]

The directed case of complete graphs are tournaments. Answering a conjecture by Paul Kelly from 1968,[5] Daniela Kühn and Deryk Osthus proved in 2012 that every sufficiently large regular tournament has a Hamiltonian decomposition.[6]

Number of decompositions

Every 4-regular undirected graph has an even number of Hamiltonian decompositions. More strongly, for every two edges and of a 4-regular graph, the number of Hamiltonian decompositions in which and belong to the same cycle is even. If a -regular graph has a Hamiltonian decomposition, it has at least a triple factorial number of decompositions,

For instance, 4-regular graphs that have a Hamiltonian decomposition have at least four of them; 6-regular graphs that have a Hamiltonian decomposition have at least 28, etc. It follows that the only graphs whose Hamiltonian decompositions are unique are the cycle graphs.[7]

Computational complexity

Testing whether an arbitrary graph has a Hamiltonian decomposition is NP-complete, both in the directed and undirected cases.[8]

The line graphs of cubic graphs are 4-regular, and have a Hamiltonian decomposition if and only if the underlying cubic graph has a Hamiltonian cycle.[9][10] As a consequence, Hamiltonian decomposition remains NP-complete for classes of graphs that include line graphs of hard instances of the Hamiltonian cycle problem. For instance, Hamiltonian decomposition is NP-complete for the 4-regular planar graphs, because they include the line graphs of cubic planar graphs. On the other hand, this equivalence also implies that Hamiltonian decomposition is easy for 4-regular line graphs when their underlying cubic graphs have easy Hamiltonian cycle problems.

Random regular graphs of even degree almost surely have a Hamiltonian decomposition, and more strongly there is a randomized polynomial time algorithm which, when given as input a random regular graph of even degree, almost surely finds a Hamiltonian decomposition in it.[11]

gollark: It totally could. The main issue is Discord latency.
gollark: I feel like I was very clear that no.
gollark: Secondly, no.
gollark: Firstly, you need quotes around "a jiffy".
gollark: ++remind 10000000s This is 10Ms.

See also

  • Linear arboricity, a different kind of constrained partition into subgraphs of maximum degree two

References

  1. Bermond, J.-C. (1978), "Hamiltonian decompositions of graphs, directed graphs and hypergraphs", Annals of Discrete Mathematics, 3: 21–28, doi:10.1016/S0167-5060(08)70494-1, ISBN 9780720408430, MR 0505807
  2. Bondy, J. A.; Häggkvist, R. (1981), "Edge-disjoint Hamilton cycles in 4-regular planar graphs", Aequationes Mathematicae, 22 (1): 42–45, doi:10.1007/BF02190157, MR 0623315
  3. Alspach, Brian (2008), "The wonderful Walecki construction", Bulletin of the Institute of Combinatorics and Its Applications, 52: 7–20, MR 2394738
  4. Bryant, Darryn; Dean, Matthew (2015), "Vertex-transitive graphs that have no Hamilton decomposition", Journal of Combinatorial Theory, Series B, 114: 237–246, doi:10.1016/j.jctb.2015.05.007, MR 3354297
  5. Moon, John W. (1968), Topics on Tournaments, New York, Montreal, London: Holt, Rinehart and Winston, Exercise 9, page 9, MR 0256919
  6. Kühn, Daniela; Osthus, Deryk (2013), "Hamilton decompositions of regular expanders: a proof of Kelly's conjecture for large tournaments", Advances in Mathematics, 237: 62–146, arXiv:1202.6219, doi:10.1016/j.aim.2013.01.005, MR 3028574
  7. Thomason, A. G. (1978), "Hamiltonian cycles and uniquely edge colourable graphs", Advances in graph theory (Cambridge Combinatorial Conf., Trinity College, Cambridge, 1977), Annals of Discrete Mathematics, 3, pp. 259–268, MR 0499124
  8. Péroche, B. (1984), "NP-completeness of some problems of partitioning and covering in graphs", Discrete Applied Mathematics, 8 (2): 195–208, doi:10.1016/0166-218X(84)90101-X, MR 0743024
  9. Kotzig, Anton (1957), "Aus der Theorie der endlichen regulären Graphen dritten und vierten Grades", Československá Akademie Věd, 82: 76–92, MR 0090815
  10. Martin, Pierre (1976), "Cycles hamiltoniens dans les graphes 4-réguliers 4-connexes", Aequationes Mathematicae, 14 (1/2): 37–40, doi:10.1007/BF01836203, MR 0414442
  11. Kim, Jeong Han; Wormald, Nicholas C. (2001), "Random matchings which induce Hamilton cycles and Hamiltonian decompositions of random regular graphs", Journal of Combinatorial Theory, Series B, 81 (1): 20–44, doi:10.1006/jctb.2000.1991, MR 1809424
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