Abstract
A \((k, \ell )\)-partition of a graph G is a partition of its vertex set into k independent sets and \(\ell \) cliques. A graph is \((k, \ell )\) if it admits a \((k, \ell )\)-partition. A graph is well-covered if every maximal independent set is also maximum. A graph is \((k,\ell )\)-well-covered if it is both \((k,\ell )\) and well-covered. In 2018, Alves et al. provided a complete mapping of the complexity of the \((k,\ell )\)-Well-Covered Graph problem, in which given a graph G, it is asked whether G is a \((k,\ell )\)-well-covered graph. Such a problem is polynomial-time solvable for the subclasses (0, 1), (0, 2), (1, 0), (1, 1), (1, 2), and (2, 0), and NP-hard or coNP-hard, otherwise. In the Graph Sandwich Problem for Property \(\Pi \) we are given a pair of graphs \(G^1=(V,E^1)\) and \(G^2=(V,E^2)\) with \(E^1\subseteq E^2\), and asked whether there is a graph \(G=(V,E)\) with \(E^1\subseteq E\subseteq E^2\), such that G satisfies the property \(\Pi \). It is well-known that recognizing whether a graph G satisfies a property \(\Pi \) is equivalent to the particular graph sandwich problem where \(E^1=E^2\). Therefore, in this paper we extend previous studies on the recognition of \((k,\ell )\)-well-covered graphs by presenting a complexity analysis of Graph Sandwich Problem for the property of being \((k,\ell )\)-well-covered. Focusing on the classes that are tractable for the problem of recognizing \((k,\ell )\)-well-covered graphs, we prove that Graph Sandwich for \((k,\ell )\)-well-covered is polynomial-time solvable when \((k,\ell )=(0,1),(1,0),(1,1)\) or (0, 2), and NP-complete if we consider the property of being (1, 2)-well-covered.
This work was supported by FAPERJ, CNPq and CAPES Brazilian Research Agencies.
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References
Alves, S.R., Dabrowski, K.K., Faria, L., Klein, S., Sau, I., Souza, U.S.: On the (parameterized) complexity of recognizing well-covered \((r,\ell )\)-graph. Theor. Comput. Sci. 746, 36–48 (2018)
Araújo, R.T., Costa, E.R., Klein, S., Sampaio, R.M., Souza, U.S.: FPT algorithms to recognize well covered graphs. Discrete Math. Theoretical Comput. Sci., 21(1) (2019)
Brandstädt, A.: Partitions of graphs into one or two independent sets and cliques. Discrete Math. 152(1–3), 47–54 (1996)
Chvátal, V., Slater, P.J.: A note on well-covered graphs. Ann. Discrete Math. 55, 179–181 (1993)
Demange, M., Ekim, T., De Werra, D.: Partitioning cographs into cliques and stable sets. Discrete Optim. 2(2), 145–153 (2005)
Feder, T., Hell, P., Klein, S., Motwani, R.: List partitions. SIAM J. Discrete Math. 16(3), 449–478 (2003)
Feder, T., Hell, P., Klein, S., Nogueira, L.T., Protti, F.: List matrix partitions of chordal graphs. Theoretical Comput. Sci. 349(1), 52–66 (2005)
Golumbic, M.C., Kaplan, H., Shamir, R.: Graph sandwich problems. J. Algorithms 19(3), 449–473 (1995)
Lesk, M., Plummer, M.D., Pulleyblank, W.R.: Equi-matchable graphs. In: Graph Theory and Combinatorics. Academic Press, Cambridge, pp. 239–254 (1984)
Plummer, M.D.: Some covering concepts in graphs. J. Comb. Theory 8(1), 91–98 (1970)
Ravindra, G.: Well-covered graphs. J. Comb. Inf. Syst. Sci. 2(1), 20–21 (1977)
Sankaranarayana, R.S., Stewart, L.K.: Complexity results for well-covered graphs. Networks 22(3), 247–262 (1992)
Tankus, D., Tarsi, M.: Well-covered claw-free graphs. J. Comb. Theory, Ser. B 66(2), 293–302 (1996)
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Alves, S.R., Couto, F., Faria, L., Gravier, S., Klein, S., Souza, U.S. (2020). Graph Sandwich Problem for the Property of Being Well-Covered and Partitionable into k Independent Sets and \(\ell \) Cliques. In: Kohayakawa, Y., Miyazawa, F.K. (eds) LATIN 2020: Theoretical Informatics. LATIN 2021. Lecture Notes in Computer Science(), vol 12118. Springer, Cham. https://doi.org/10.1007/978-3-030-61792-9_46
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