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Hypotheses about Satisfiability and their Consequences

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Proposes the Exponential Time Hypothesis (3‑SAT needs 2^{c n} time for some c>0) and the Strong ETH (limiting exponent →1), proves a sparsification lemma that reduces k‑SAT to linear‑clause instances in 2^{ε n} time, and shows those hypotheses imply tight barriers: subexponential SAT would collapse exact complexities across CSPs, yield N^{Ω(k)} hardness for k‑SUM, tie to orthogonal‑vectors lower bounds, and give circuit lower bounds; also proves matching lower bounds for many proof systems (tree/regular resolution) though general resolution remains open.

AI-written summary · about

  1. 0:00Introduction
  2. 1:05Motivation for SAT algorithms
  3. 13:52Resolution proofs bottlenecks
  4. 17:53Exponential Time Hypothesis
  5. 22:14Strong ETH defined
  6. 26:33Why ETH and Strong ETH matter
  7. 31:05k-SAT and NP-complete equivalence
  8. 35:05Sparsification lemma for SAT/CSPs
  9. 46:52Hard instances for CSPs
  10. 50:31ETH for unique satisfiability
  11. 53:03Fine-grained complexity
  12. 57:33ETH and algorithmic problems
  13. 1:01:09Worst-case vs average-case SAT
  14. 1:03:00Resolution lower bounds
  15. 1:06:55Value of ETH
  16. 1:13:38Q&A
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