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Separating the NP-Hardness of the Grothendieck problem from the Little-Grothendieck problem

Talkat ITCS 2022 · 2022-01-31..02-03
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Proves NP-hardness of approximating the (bilinear) Grothendieck problem strictly beyond the PSD bound: shows no polytime algorithm achieves better than π/2 + 10^{-6} (unoptimized ε) unless P=NP. Reduction embeds label cover into an operator A = F1^T P F1 − λI, uses Boolean Fourier/dictator tests, projection to label-cover subspace, and a global geometric analysis (win–win distance lemmas, sign/sine rounding) to convert SDP integrality-gap style instances to NP-hardness.

AI-written summary · about

  1. 0:00Introduction
  2. 0:13Problem description
  3. 1:27Quadratic expectation
  4. 2:24quadratic maximization
  5. 8:21Proof
  6. 10:26Declaration test
  7. 17:32Recommended trigger
  8. 18:07Label cover
  9. 26:03Reduction
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