4 research outputs found

    Complexity results for matching cut problems in graphs without long induced paths

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    In a graph, a (perfect) matching cut is an edge cut that is a (perfect) matching. Matching Cut (MC), respectively, Perfect Matching Cut (PMC), is the problem of deciding whether a given graph has a matching cut, respectively, a perfect matching cut. The Disconnected Perfect Matching problem (DPM) is to decide if a graph has a perfect matching that contains a matching cut. Solving an open problem recently posed in [Lucke, Paulusma, Ries (ISAAC 2022), and Feghali, Lucke, Paulusma, Ries (arXiv:2212.12317)], we show that PMC is NP-complete in graphs without induced 14-vertex path P14P_{14}. Our reduction also works simultaneously for MC and DPM, improving the previous hardness results of MC on P19P_{19}-free graphs and of DPM on P23P_{23}-free graphs to P14P_{14}-free graphs for both problems. Actually, we prove a slightly stronger result: within P14P_{14}-free graphs, it is hard to distinguish between (i) those without matching cuts and those in which every matching cut is a perfect matching cut, (ii) those without perfect matching cuts and those in which every matching cut is a perfect matching cut, and (iii) those without disconnected perfect matchings and those in which every matching cut is a perfect matching cut. Moreover, assuming the Exponential Time Hypothesis, none of these problems can be solved in time 2o(n)2^{o(n)} for nn-vertex P14P_{14}-free input graphs. We also consider the problems in graphs without long induced cycles. It is known that MC is polynomially solvable in graphs without induced cycles of length at least 5 [Moshi (JGT 1989)]. We point out that the same holds for DPM.Comment: To appear in the proceedings of WG 202

    An FPT algorithm for Matching Cut and d-cut

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    Given a positive integer dd, the dd-CUT problem is to decide if an undirected graph G=(V,E)G=(V,E) has a non trivial bipartition (A,B)(A,B) of VV such that every vertex in AA (resp. BB) has at most dd neighbors in BB (resp. AA). When d=1d=1, this is the MATCHING CUT problem. Gomes and Sau, in IPEC 2019, gave the first fixed parameter tractable algorithm for dd-CUT, when parameterized by maximum number of the crossing edges in the cut (i.e. the size of edge cut). However, their paper doesn't provide an explicit bound on the running time, as it indirectly relies on a MSOL formulation and Courcelle's Theorem. Motivated by this, we design and present an FPT algorithm for the MATCHING CUT (and more generally for dd-CUT) for general graphs with running time 2O(klogk)nO(1)2^{O(k\log k)}n^{O(1)} where kk is the maximum size of the edge cut. This is the first FPT algorithm for the MATCHING CUT (and dd-CUT) with an explicit dependence on this parameter. We also observe a lower bound of 2Ω(k)nO(1)2^{\Omega(k)}n^{O(1)} with same parameter for MATCHING CUT assuming ETH

    Cutting Barnette graphs perfectly is hard

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    A perfect matching cut is a perfect matching that is also a cutset, or equivalently, a perfect matching containing an even number of edges on every cycle. The corresponding algorithmic problem, Perfect Matching Cut, is known to be NP-complete in subcubic bipartite graphs [Le & Telle, TCS '22], but its complexity was open in planar graphs and cubic graphs. We settle both questions simultaneously by showing that Perfect Matching Cut is NP-complete in 3-connected cubic bipartite planar graphs or Barnette graphs. Prior to our work, among problems whose input is solely an undirected graph, only Distance-2 4-Coloring was known to be NP-complete in Barnette graphs. Notably, Hamiltonian Cycle would only join this private club if Barnette's conjecture were refuted
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