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        <identifier>oai:drops-oai.dagstuhl.de:16564</identifier>
        <datestamp>2024-03-06T10:57:48Z</datestamp>
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          <dc:title>On the Satisfaction Probability of k-CNF Formulas</dc:title>
          <dc:creator>Tantau, Till</dc:creator>
          <dc:subject>Satisfaction probability</dc:subject>
          <dc:subject>majority it{k}-sat</dc:subject>
          <dc:subject>kernelization</dc:subject>
          <dc:subject>well orderings</dc:subject>
          <dc:subject>locality</dc:subject>
          <dc:description>The satisfaction probability σ(ϕ) := Pr_{β:vars(ϕ) → {0,1}}[β ⊧ ϕ] of a propositional formula ϕ is the likelihood that a random assignment β makes the formula true. We study the complexity of the problem kSAT-PROB_{&gt; δ} = {ϕ is a kCNF formula ∣ σ(ϕ) &gt; δ} for fixed k and δ. While 3SAT-PROB_{&gt; 0} = 3SAT is NP-complete and SAT-PROB}_{&gt; 1/2} is PP-complete, Akmal and Williams recently showed 3SAT-PROB_{&gt; 1/2} ∈ P and 4SAT-PROB_{&gt; 1/2} ∈ NP-complete; but the methods used to prove these striking results stay silent about, say, 4SAT-PROB_{&gt; 3/4}, leaving the computational complexity of kSAT-PROB_{&gt; δ} open for most k and δ. In the present paper we give a complete characterization in the form of a trichotomy: kSAT-PROB_{&gt; δ} lies in AC⁰, is NL-complete, or is NP-complete; and given k and δ we can decide which of the three applies. The proof of the trichotomy hinges on a new order-theoretic insight: Every set of kCNF formulas contains a formula of maximal satisfaction probability. This deceptively simple result allows us to (1) kernelize kSAT-PROB_{≥ δ}, (2) show that the variables of the kernel form a strong backdoor set when the trichotomy states membership in AC⁰ or NL, and (3) prove a locality property by which for every kCNF formula ϕ we have σ(ϕ) ≥ δ iff σ(ψ) ≥ δ for every fixed-size subset ψ of ϕ’s clauses. The locality property will allow us to prove a conjecture of Akmal and Williams: The majority-of-majority satisfaction problem for kCNFS lies in P for all k.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Till Tantau</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 234, 37th Computational Complexity Conference (CCC 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2022.2</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-165648</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2022.2</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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