Abstract
Minimal separators in graphs are an important concept in algorithmic graph theory. In particular, many problems that are NP-hard for general graphs are known to become polynomial-time solvable for classes of graphs with a polynomially bounded number of minimal separators. Several well-known graph classes have this property, including chordal graphs, permutation graphs, circular-arc graphs, and circle graphs. We perform a systematic study of the question which classes of graphs defined by small forbidden induced subgraphs have a polynomially bounded number of minimal separators. We focus on sets of forbidden induced subgraphs with at most four vertices and obtain an almost complete dichotomy, leaving open only two cases.
The work is supported in part by the Slovenian Research Agency (I0-0035, research program P1-0285 and research projects J1-9110, N1-0102, and a Young Researchers grant). Part of the work was done while M. M. was visiting Osaka Prefecture University in Japan, under the operation Mobility of Slovene higher education teachers 2018–2021, co-financed by the Republic of Slovenia and the European Union under the European Social Fund.
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Bodlaender, H.L., Kloks, T., Kratsch, D.: Treewidth and pathwidth of permutation graphs. SIAM J. Discrete Math. 8(4), 606–616 (1995)
Bodlaender, H.L., Koster, A.M.C.A.: Treewidth computations I. upper bounds. Inform. Comput. 208(3), 259–275 (2010)
Bodlaender, H.L., Rotics, U.: Computing the treewidth and the minimum fill-in with the modular decomposition. Algorithmica 36(4), 375–408 (2003)
Bouchitté, V., Todinca, I.: Treewidth and minimum fill-in: grouping the minimal separators. SIAM J. Comput. 31(1), 212–232 (2001)
Bouchitté, V., Todinca, I.: Listing all potential maximal cliques of a graph. Theor. Comput. Sci. 276(1–2), 17–32 (2002)
Brandstädt, A., Dabrowski, K.K., Huang, S., Paulusma, D.: Bounding the clique-width of \(H\)-free split graphs. Discrete Appl. Math. 211, 30–39 (2016)
Brandstädt, A., Dabrowski, K.K., Huang, S., Paulusma, D.: Bounding the clique-width of \(H\)-free chordal graphs. J. Graph Theory 86(1), 42–77 (2017)
Brandstädt, A., Engelfriet, J., Le, H.O., Lozin, V.V.: Clique-width for 4-vertex forbidden subgraphs. Theory Comput. Syst. 39(4), 561–590 (2006)
Chiarelli, N., Milanič, M.: Linear separation of connected dominating sets in graphs. Ars Math. Contemp. 16, 487–525 (2019)
Choudum, S.A., Shalu, M.A.: The class of \(\{3K_1, C_4\}\)-free graphs. Australas. J. Comb. 32, 111–116 (2005)
Dabrowski, K.K., Paulusma, D.: Classifying the clique-width of \(H\)-free bipartite graphs. Discrete Appl. Math. 200, 43–51 (2016)
Deogun, J.S., Kloks, T., Kratsch, D., Müller, H.: On the vertex ranking problem for trapezoid, circular-arc and other graphs. Discrete Appl. Math. 98(1–2), 39–63 (1999)
Fomin, F.V., Todinca, I., Villanger, Y.: Large induced subgraphs via triangulations and CMSO. SIAM J. Comput. 44(1), 54–87 (2015)
Fomin, F.V., Villanger, Y.: Finding induced subgraphs via minimal triangulations. In: STACS 2010: 27th International Symposium on Theoretical Aspects of Computer Science. Leibniz International Proceedings Informatics (LIPIcs), vol. 5, pp. 383–394. Schloss Dagstuhl. Leibniz-Zent. Inform., Wadern (2010)
Fraser, D.J., Hamel, A.M., Hoàng, C.T., Maffray, F.: A coloring algorithm for \(4K_1\)-free line graphs. Discrete Appl. Math. 234, 76–85 (2018)
Golovach, P.A., Johnson, M., Paulusma, D., Song, J.: A survey on the computational complexity of coloring graphs with forbidden subgraphs. J. Graph Theory 84(4), 331–363 (2017)
Golumbic, M.C.: Algorithmic Graph Theory and Perfect Graphs, Annals of Discrete Mathematics, vol. 57, 2nd edn. Elsevier, Amsterdam (2004)
Gyárfás, A.: Problems from the world surrounding perfect graphs. In: Proceedings of the International Conference on Combinatorial Analysis and its Applications, (Pokrzywna, 1985), vol. 19, pp. 413–441 (1988, 1987)
Hartinger, T.R., Johnson, M., Milanič, M., Paulusma, D.: The price of connectivity for cycle transversals. European J. Comb. 58, 203–224 (2016)
Heggernes, P.: Minimal triangulations of graphs: a survey. Discrete Math. 306(3), 297–317 (2006)
Hell, P., Nešetřil, J.: On the complexity of \(H\)-coloring. J. Comb. Theory Ser. B 48(1), 92–110 (1990)
Kloks, T., Kratsch, D.: Finding all minimal separators of a graph. In: Enjalbert, P., Mayr, E.W., Wagner, K.W. (eds.) STACS 1994. LNCS, vol. 775, pp. 759–768. Springer, Heidelberg (1994). https://doi.org/10.1007/3-540-57785-8_188
Kloks, T., Kratsch, D., Wong, C.K.: Minimum fill-in on circle and circular-arc graphs. J. Algorithms 28(2), 272–289 (1998)
Kloks, T. (ed.): Treewidth Computations and Approximations. LNCS, vol. 842. Springer, Heidelberg (1994). https://doi.org/10.1007/BFb0045375
Kloks, T.: Treewidth of circle graphs. Int. J. Found. Comput. Sci. 7(02), 111–120 (1996)
Kloks, T., Kratsch, D., Spinrad, J.: On treewidth and minimum fill-in of asteroidal triple-free graphs. Theor. Comput. Sci. 175(2), 309–335 (1997)
Král’, D., Kratochvíl, J., Tuza, Z., Woeginger, G.J.: Complexity of coloring graphs without forbidden induced subgraphs. In: Brandstädt, A., Le, V.B. (eds.) WG 2001. LNCS, vol. 2204, pp. 254–262. Springer, Heidelberg (2001). https://doi.org/10.1007/3-540-45477-2_23
Kratsch, D.: The structure of graphs and the design of efficient algorithms. Habilitation thesis, Friedrich-Schiller-Universität, Jena (1996)
Lozin, V.V., Malyshev, D.S.: Vertex coloring of graphs with few obstructions. Discrete Appl. Math. 216(part 1), 273–280 (2017)
Malyshev, D.S.: A complexity dichotomy and a new boundary class for the dominating set problem. J. Comb. Optim. 32(1), 226–243 (2016). https://doi.org/10.1007/s10878-015-9872-z
McKee, T.A.: Requiring that minimal separators induce complete multipartite subgraphs. Discuss. Math. Graph Theory 38(1), 263–273 (2018)
Montealegre, P., Todinca, I.: On Distance-d independent Set and other problems in graphs with “few” Minimal Separators. In: Heggernes, P. (ed.) WG 2016. LNCS, vol. 9941, pp. 183–194. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-53536-3_16
Nikolopoulos, S.D., Palios, L.: Minimal separators in \(P_4\)-sparse graphs. Discrete Math. 306(3), 381–392 (2006)
Olariu, S.: Paw-free graphs. Inform. Process. Lett. 28(1), 53–54 (1988)
Parra, A., Scheffler, P.: Characterizations and algorithmic applications of chordal graph embeddings. Discrete Appl. Math. 79(1–3), 171–188 (1997)
Pedrotti, V., de Mello, C.P.: Minimal separators in extended \(P_4\)-laden graphs. Discrete Appl. Math. 160(18), 2769–2777 (2012)
Ramsey, F.P.: On a problem of formal logic. Proc. London Math. Soc. s2–30(4), 264–286 (1929)
Rose, D.J., Tarjan, R.E., Lueker, G.S.: Algorithmic aspects of vertex elimination on graphs. SIAM J. Comput. 5(2), 266–283 (1976)
Schweitzer, P.: Towards an isomorphism dichotomy for hereditary graph classes. Theory Comput. Syst. 61(4), 1084–1127 (2017)
Spinrad, J.P.: Efficient Graph Representations, Fields Institute Monographs, vol. 19. American Mathematical Society, Providence (2003)
Suchan, K.: Minimal Separators in Intersection Graphs. Master’s thesis, Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie (2003)
Zabłudowski, A.: A method for evaluating network reliability. Bull. Acad. Polon. Sci. Sér. Sci. Tech. 27(7), 647–655 (1979)
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Milanič, M., Pivač, N. (2019). Minimal Separators in Graph Classes Defined by Small Forbidden Induced Subgraphs. In: Sau, I., Thilikos, D. (eds) Graph-Theoretic Concepts in Computer Science. WG 2019. Lecture Notes in Computer Science(), vol 11789. Springer, Cham. https://doi.org/10.1007/978-3-030-30786-8_29
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