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Connections Between QBF Proof Complexity and Circuit Complexity

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Proves a tight correspondence: QBF refutations in Frege-like systems exactly mirror circuit lower bounds via strategy extraction that yields programs in C-decision lists (depth increases by two). Constructs Q_f (exists x forall z z ≠ f(x)) so any universal winning strategy must compute f, so small Q-Frege proofs imply small C-circuits and conversely. Gives iff statements (e.g. Q-Frege superpolynomial lower bounds ↔ PSPACE ⊄ non-uniform NC1), produces new QBF separations (AC0 mod p, Sipser gaps), and characterizes Q-Res by unified decision lists with n^d blowup for d alternations.

AI-written summary · about

  1. 0:00Hard problems everywhere?
  2. 2:20The proof complexity theme song
  3. 2:34Proofs vs circuits: what's the question exactly?
  4. 5:07Game semantics of QBFs
  5. 6:03A core QBF system: QU-Resolution
  6. 8:00From propositional proof systems to QBF
  7. 9:46Key example: Frege systems
  8. 10:27Important propositional proof systems
  9. 11:16Genuine QBF lower bounds.
  10. 12:12QBF proof systems with NP oracles
  11. 13:27Reasons for QBF hardness
  12. 13:52Precise characterisations in QBF
  13. 15:37Strategy extraction by decision lists
  14. 18:02From decision lists to circuits
  15. 20:16From circuit lower bounds to proof size lower bounds
  16. 21:29Strong separations
  17. 22:59The current frontier: propositional vs QBF
  18. 23:20What happens for resolution?
  19. 24:11Unified decision lists
  20. 25:04The characterisation for Q-Res
  21. 26:30Comparison to QBF Frege
  22. 27:25Proof ingredients - Part 1
  23. 28:10Conclusion
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