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QBF Satisfiability Algorithms and Connections with Circuit Lower Bounds

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Gives a concrete algorithmic tradeoff: for QBF with k quantifier blocks over CNFs or small formulas the procedure achieves savings Ω(n^{1/(k+1)}) by splitting variables, brute forcing a short suffix to produce a depth-(k+2) circuit on n′ = n − n^{1/(k+2)} variables, and using a truth‑table lemma for AC^0 via the switching lemma to precompute values and memoize. Also proves that any uniform Ω(log n) savings independent of k would imply new non‑uniform boolean formula lower bounds (explicit superpolynomial formulas for NX).

AI-written summary · about

  1. 0:00Introduction
  2. 1:05Connections and background
  3. 6:16Quantified boolean formulas
  4. 10:01Results and implications
  5. 14:37Algorithmic approach
  6. 24:43Memorization and reduction
  7. 32:41And-Or tree evaluation
  8. 37:03Future directions and conclusion
  9. 41:32Q&A session
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