On the Descriptive Complexity of Vertex Deletion Problems
Max Bannach, Florian Chudigiewitsch, Till Tantau

TL;DR
This paper classifies the complexity of vertex deletion problems in graphs based on detailed logical quantifier patterns, revealing new tractable cases and intractable thresholds across various graph types.
Contribution
It introduces a refined classification from quantifier alternations to patterns, establishing a complete trichotomy and identifying new tractable and hard cases.
Findings
New tractable fragments in parameterized complexity classes.
Vertex deletion is W[1]-hard with just one quantifier per alternation.
Complexity frontiers vary across graph types and structures.
Abstract
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…
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