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Complexity Dichotomy for the Quantified Constraint Satisfaction Problem


Core Concepts
The complexity of the Quantified Constraint Satisfaction Problem (QCSP) over any finite constraint language is either in ΠP2 or PSpace-complete.
Abstract
The paper presents a complexity dichotomy for the Quantified Constraint Satisfaction Problem (QCSP) over finite constraint languages. The key findings are: If the QCSP over a constraint language Γ is not PSpace-hard, then for any No-instance of QCSP(Γ), the Universal Player (UP) has a winning strategy on a polynomial-size set of tuples. This implies that QCSP(Γ) is in the complexity class ΠP2. There exists a constraint language Γ on a 6-element domain such that QCSP(Γ) is ΠP2-complete, showing that the gap between PSpace and ΠP2 cannot be enlarged. The paper provides a characterization of all PSpace-hard constraint languages in terms of "mighty tuples" - certain relations that can be q-defined over the constraint language and lead to PSpace-hardness. The proof techniques involve reducing the QCSP to an exponential-size CSP instance and analyzing the properties required for the UP to have a polynomial-size winning strategy.
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Deeper Inquiries

Are there any other complexity classes up to polynomial reduction that can be expressed as QCSP(Γ) for some finite constraint language Γ

Based on the context provided, it seems that the complexity classes that can be expressed as QCSP(Γ) for some finite constraint language Γ are limited to P, NP, coNP, DP, ΘP2, ΠP2, and PSpace. The paper speculates that these seven complexity classes may encompass all possibilities between P and PSpace. The authors suggest that there may not be any other complexity classes up to polynomial reduction that can be expressed through QCSP(Γ) for a finite constraint language Γ.

Is it true that if QCSP(Γ) is in ΠP2, then the Π2-QCSP(Γ) (where only Π2-sentences are allowed) is also ΠP2-complete

The paper does not explicitly address whether if QCSP(Γ) is in ΠP2, then the Π2-QCSP(Γ) (where only Π2-sentences are allowed) is also ΠP2-complete. However, it does raise the question of whether a smarter polynomial reduction to a Π2-sentence over the same language exists. This question remains open for further exploration and research.

Is it true that if QCSP(Γ) is in ΠP2, then Π2-QCSP(Γ) is polynomially equivalent to QCSP(Γ)

The paper does not provide a definitive answer to whether if QCSP(Γ) is in ΠP2, then Π2-QCSP(Γ) is polynomially equivalent to QCSP(Γ). The authors suggest that a positive answer to this question would simplify the classification of the complexity of QCSP(Γ) for each constraint language Γ, but further investigation and analysis would be needed to confirm this hypothesis.
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