Parameterized Complexity of Elimination Distance to First-Order Logic Properties
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Published:2022-04-06
Issue:3
Volume:23
Page:1-35
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ISSN:1529-3785
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Container-title:ACM Transactions on Computational Logic
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language:en
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Short-container-title:ACM Trans. Comput. Logic
Author:
Fomin Fedor V.1,
Golovach Petr A.1ORCID,
Thilikos Dimitrios M.2
Affiliation:
1. Department of Informatics, University of Bergen, Bergen, Norway
2. LIRMM, Univ Montpellier, CNRS, Montpellier, France
Abstract
The
elimination distance
to some target graph property
P
is a general graph modification parameter introduced by Bulian and Dawar. We initiate the study of elimination distances to graph properties expressible in first-order logic. We delimit the problem’s fixed-parameter tractability by identifying sufficient and necessary conditions on the structure of prefixes of first-order logic formulas. Our main result is the following meta-theorem: For every graph property
P
expressible by a first order-logic formula
\( \varphi \in \Sigma _3 \)
, that is, of the form
\( \begin{equation*} \varphi =\exists x_1\exists x_2\cdots \exists x_r\ \ \forall y_{1}\forall y_{2}\cdots \forall y_{s}\ \ \exists z_1\exists z_2\cdots \exists z_t~~ \psi ,\end{equation*} \)
where
\( \psi \)
is a quantifier-free first-order formula, checking whether the elimination distance of a graph to
P
does not exceed
\( k \)
, is
fixed-parameter tractable
parameterized by
\( k \)
. Properties of graphs expressible by formulas from
\( \Sigma _3 \)
include being of bounded degree, excluding a forbidden subgraph, or containing a bounded dominating set. We complement this theorem by showing that such a general statement does not hold for formulas with even slightly more expressive prefix structure: There are formulas
\( \varphi \in \Pi _3 \)
, for which computing elimination distance is
\( {\sf W}[2] \)
-hard.
Funder
Research Council of Norway via the project BWCA
ANR
French-German Collaboration ANR/DFG
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science
Reference32 articles.
1. Kernelization Lower Bounds by Cross-Composition
2. Egon Börger, Erich Grädel, and Yuri Gurevich. 2001. The Classical Decision Problem. Springer Science & Business Media.
3. Graph Isomorphism Parameterized by Elimination Distance to Bounded Degree
Cited by
2 articles.
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