Finding vertex-surjective graph homomorphisms
Abstract
The Surjective Homomorphism problem is to test whether a given graph G called the guest graph allows a vertex-surjective homomorphism to some other given graph H called the host graph. The bijective and injective homomorphism problems can be formulated in terms of spanning subgraphs and subgraphs, and as such their computational complexity has been extensively studied. What about the surjective variant? Because this problem is NP-complete in general, we restrict the guest and the host graph to belong to graph classes \({{\mathcal G}}\) and \({{\mathcal H}}\), respectively. We determine to what extent a certain choice of \({{\mathcal G}}\) and \({{\mathcal H}}\) influences its computational complexity. We observe that the problem is polynomial-time solvable if \({{\mathcal H}}\) is the class of paths, whereas it is NP-complete if \({{\mathcal G}}\) is the class of paths. Moreover, we show that the problem is even NP-complete on many other elementary graph classes, namely linear forests, unions of complete graphs, cographs, proper interval graphs, split graphs and trees of pathwidth at most 2. In contrast, we prove that the problem is fixed-parameter tractable in k if \({{\mathcal G}}\) is the class of trees and \({{\mathcal H}}\) is the class of trees with at most k leaves, or if \({{\mathcal G}}\) and \({{\mathcal H}}\) are equal to the class of graphs with vertex cover number at most k.
Keywords
Complete Graph Vertex Cover Hamiltonian Path Tree Decomposition Graph ClassPreview
Unable to display preview. Download preview PDF.
References
- 1.Adiga, A., Chitnis, R., Saurabh, S.: Parameterized algorithms for boxicity. In: Proceedings of ISAAC 2010, LNCS 6506, pp. 366–377 (2010)Google Scholar
- 2.Bodirsky M., Kára J., Martin B.: The complexity of surjective homomorphism problems—a survey. Discrete Appl. Math. 160, 1680–1690 (2012)MathSciNetMATHCrossRefGoogle Scholar
- 3.Chen, J., Kanj, I.A., Xia, G.: Improved parameterized upper bounds for vertex cover. In: Proceedings of MFCS 2006, LNCS 4162, pp. 238–249 (2006)Google Scholar
- 4.Courcelle B., Olariu S.: Upper bounds to the clique width of graphs. Discrete Appl. Math. 101, 77–114 (2000)MathSciNetMATHCrossRefGoogle Scholar
- 5.Dalmau, V., Kolaitis, P.G., Vardi, M.Y.: Constraint satisfaction, bounded treewidth, and finite-variable logics. In: Proceedings of CP 2002, LNCS 2470, pp. 223–254 (2006)Google Scholar
- 6.Enciso, R., Fellows, M.R., Guo, J., Kanj, I.A., Rosamond, F.A., Suchý, O.: What makes equitable connected partition easy, In: Proceedings of IWPEC 2009, LNCS 5917, pp. 122–133 (2009)Google Scholar
- 7.Feder T., Hell P., Jonsson P., Krokhin A., Nordh G.: Retractions to pseudoforests. SIAM J. Discrete Math. 24, 101–112 (2010)MathSciNetMATHCrossRefGoogle Scholar
- 8.Fellows, M.R., Lokshtanov, D., Misra, N., Rosamond, F.A., Saurabh, S.: Graph layout problems parameterized by vertex cover. In: Proceedings of ISAAC 2008, LNCS 5369, pp. 294–305 (2008)Google Scholar
- 9.Fiala J., Kratochvíl J.: Locally constrained graph homomorphisms—structure, complexity, and applications. Comput. Sci. Rev. 2, 97–111 (2008)CrossRefGoogle Scholar
- 10.Fiala J., Golovach P.A., Kratochvíl J.: Parameterized complexity of coloring problems: treewidth versus vertex cover. Theor. Comput. Sci. 412, 2513–2523 (2011)MATHCrossRefGoogle Scholar
- 11.Fiala J., Paulusma D.: A complete complexity classification of the role assignment problem. Theor. Comput. Sci. 349, 67–81 (2005)MathSciNetMATHCrossRefGoogle Scholar
- 12.Flum J., Grohe M.: Parameterized Complexity Theory, Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin (2006)Google Scholar
- 13.Frank A., Tardos É.: An application of simultaneous diophantine approximation in combinatorial optimization. Combinatorica 7, 49–65 (1987)MathSciNetMATHCrossRefGoogle Scholar
- 14.Garey M.R., Johnson D.R.: Computers and Intractability. Freeman, New York (1979)MATHGoogle Scholar
- 15.Golovach, P.A., Paulusma, D., Song, J.: Computing vertex-surjective homomorphisms to partially reflexive trees. Proceedings of CSR 2011, LNCS 6651, pp. 261–274 (2011)Google Scholar
- 16.Grohe, M.: The complexity of homomorphism and constraint satisfaction problems seen from the other side. J ACM 54(1), Art no 1 (2007)Google Scholar
- 17.Hell P., Nešetřil J.: On the complexity of H-colouring. J. Comb. Theory Ser. B 48, 92–110 (1990)MATHCrossRefGoogle Scholar
- 18.Hell P., Nešetřil J.: Graphs and Homomorphisms. Oxford University Press, Oxford (2004)MATHCrossRefGoogle Scholar
- 19.Lenstra H.W. Jr.: Integer programming with a fixed number of variables. Math. Oper. Res. 8, 538–548 (1983)MathSciNetMATHCrossRefGoogle Scholar
- 20.Martin, B., Paulusma, D.: The computational complexity of disconnected cut and 2K2-Partition. In: Proceedings of CP 2011, LNCS 6876, pp. 561–575 (2011)Google Scholar
- 21.Vikas N.: Computational complexity of compaction to reflexive cycles. SIAM J. Comput. 32, 253–280 (2002)MathSciNetCrossRefGoogle Scholar
- 22.Vikas N.: Compaction, retraction, and constraint satisfaction. SIAM J. Comput. 33, 761–782 (2004)MathSciNetMATHCrossRefGoogle Scholar
- 23.Vikas N.: A complete and equal computational complexity classification of compaction and retraction to all graphs with at most four vertices and some general results. J. Comput. Syst. Sci. 71, 406–439 (2005)MathSciNetMATHCrossRefGoogle Scholar
- 24.Vikas, N.: Algorithms for partition of some class of graphs under compaction. In: Proceedings of COCOON 2011, LNCS 6842, pp. 319–330 (2011)Google Scholar