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        <datestamp>2024-03-06T10:56:23Z</datestamp>
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          <dc:title>NP-Completeness of Perfect Matching Index of Cubic Graphs</dc:title>
          <dc:creator>Škoviera, Martin</dc:creator>
          <dc:creator>Varša, Peter</dc:creator>
          <dc:subject>cubic graph</dc:subject>
          <dc:subject>edge colouring</dc:subject>
          <dc:subject>snark</dc:subject>
          <dc:subject>perfect matching</dc:subject>
          <dc:subject>covering</dc:subject>
          <dc:subject>NP-completeness</dc:subject>
          <dc:description>The perfect matching index of a cubic graph G, denoted by π(G), is the smallest number of perfect matchings needed to cover all the edges of G; it is correctly defined for every bridgeless cubic graph. The value of π(G) is always at least 3, and if G has no 3-edge-colouring, then π(G) ≥ 4. On the other hand, a long-standing conjecture of Berge suggests that π(G) never exceeds 5. It was proved by Esperet and Mazzuoccolo [J. Graph Theory 77 (2014), 144-157] that it is NP-complete to decide for a 2-connected cubic graph whether π(G) ≤ 4. A disadvantage of the proof (noted by the authors) is that the constructed graphs have 2-cuts. We show that small cuts can be avoided and that the problem remains NP-complete even for nontrivial snarks - cyclically 4-edge-connected cubic graphs of girth at least 5 with no 3-edge-colouring. Our proof significantly differs from the one due to Esperet and Mazzuoccolo in that it combines nowhere-zero flow methods with elements of projective geometry, without referring to perfect matchings explicitly.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Martin Škoviera and Peter Varša</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 219, 39th International Symposium on Theoretical Aspects of Computer Science (STACS 2022)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2022.56</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-158667</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2022.56</dc:identifier>
          <dc:language>eng</dc:language>
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