$\prod_{2}^{P}$ vs PSpace Dichotomy for the Quantified Constraint Satisfaction Problem

The Quantified Constraint Satisfaction Problem is the problem of evaluating a sentence with both quantifiers, over relations from some constraint language, with conjunction as the only connective. We show that for any constraint language on a finite domain the Quantified Constraint Satisfaction Problem is either in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Pi_{2}^{P}$</tex>, or PSpace-complete. Additionally, we build a constraint language on a 6-element domain such that the Quantified Constraint Satisfaction Problem over this language is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Pi_{2}^{P}$</tex> -complete.

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Published
2024-10-27
DOI
https://doi.org/10.1109/focs61266.2024.00043
Citations
2
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.70

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article

$\prod_{2}^{P}$ vs PSpace Dichotomy for the Quantified Constraint Satisfaction Problem

Dmitriy Zhuk
2 citations
Scheduling and Optimization Algorithms
0.70
article

$\prod_{2}^{P}$ vs PSpace Dichotomy for the Quantified Constraint Satisfaction Problem

Dmitriy Zhuk
article en
2 citations

Abstract

The Quantified Constraint Satisfaction Problem is the problem of evaluating a sentence with both quantifiers, over relations from some constraint language, with conjunction as the only connective. We show that for any constraint language on a finite domain the Quantified Constraint Satisfaction Problem is either in <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Pi_{2}^{P}$</tex>, or PSpace-complete. Additionally, we build a constraint language on a 6-element domain such that the Quantified Constraint Satisfaction Problem over this language is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Pi_{2}^{P}$</tex> -complete.

Charles University (CZ)
European Commission
Reduced inequalities
Openalex Percentile: Top 24%
Scheduling and Optimization Algorithms
0.70
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