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        <identifier>oai:drops-oai.dagstuhl.de:20573</identifier>
        <datestamp>2024-08-23T05:50:28Z</datestamp>
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          <dc:title>On the Descriptive Complexity of Vertex Deletion Problems</dc:title>
          <dc:creator>Bannach, Max</dc:creator>
          <dc:creator>Chudigiewitsch, Florian</dc:creator>
          <dc:creator>Tantau, Till</dc:creator>
          <dc:subject>graph problems</dc:subject>
          <dc:subject>fixed-parameter tractability</dc:subject>
          <dc:subject>descriptive complexity</dc:subject>
          <dc:subject>vertex deletion</dc:subject>
          <dc:description>Vertex deletion problems for graphs are studied intensely in classical and parameterized complexity theory. They ask whether we can delete at most k vertices from an input graph such that the resulting graph has a certain property. Regarding k as the parameter, a dichotomy was recently shown based on the number of quantifier alternations of first-order formulas that describe the property. In this paper, we refine this classification by moving from quantifier alternations to individual quantifier patterns and from a dichotomy to a trichotomy, resulting in a complete classification of the complexity of vertex deletion problems based on their quantifier pattern. The more fine-grained approach uncovers new tractable fragments, which we show to not only lie in FPT, but even in parameterized constant-depth circuit complexity classes. On the other hand, we show that vertex deletion becomes intractable already for just one quantifier per alternation, that is, there is a formula of the form ∀ x∃ y∀ z (ψ), with ψ quantifier-free, for which the vertex deletion problem is W[1]-hard. The fine-grained analysis also allows us to uncover differences in the complexity landscape when we consider different kinds of graphs and more general structures: While basic graphs (undirected graphs without self-loops), undirected graphs, and directed graphs each have a different frontier of tractability, the frontier for arbitrary logical structures coincides with that of directed graphs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Max Bannach and Florian Chudigiewitsch and Till Tantau</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 306, 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2024.17</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-205733</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2024.17</dc:identifier>
          <dc:language>eng</dc:language>
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