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Sum of Squares Lower Bounds for Refuting Any CSP

Talkat Structure vs. Randomness 2017 · 2017-04-10..04-14
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slides:none on file

Proves tight lower bounds showing the Sum‑of‑Squares (SOS) hierarchy cannot refute random CSPs below the specific density thresholds it earlier achieves, matching prior SOS upper bounds up to logs. Construction builds degree‑D pseudodistributions whose local marginals match the best t‑wise uniform witness distributions (the sigma_t(P) values), and checks the PSD constraints to show SOS fails (notably 3‑SAT stays hard until about an n^{1/2} threshold).

AI-written summary · about

  1. 0:00Intro
  2. 1:10Delta
  3. 3:45General CSP
  4. 7:35Motivation
  5. 8:10Threeset CSP
  6. 10:21SOS
  7. 11:38SOS for random instances
  8. 13:10For full credit
  9. 14:04Unsatisfiability
  10. 19:58Technical things
  11. 26:46Summary
  12. 28:27Conclusion
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