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Power and Limits of LP and SDP Relaxations

Talkat Symmetry, Logic, Computation 2016 · 2016-11-07..11-10
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For any finite valued-CSP language the result gives a precise dichotomy: if the language’s fractional polymorphism support satisfies the bounded width condition then the third-level Sherali–Adams LP solves every instance exactly (a simple polytime algorithm), and otherwise even Θ(n) levels of the Lasserre/Sum-of-Squares SDP fail to solve some instances (hence no polynomial-size SDP captures them). The proof uses fractional polymorphisms, algebraic reductions to linear equation templates, and preserves non‑solvability across those reductions.

AI-written summary · about

  1. 0:00Start
  2. 0:51Constraint Satisfaction Problems
  3. 3:56Vertex Cover
  4. 4:50General-Valued Constraint Satisfaction Problem (VCSP)
  5. 10:36Lasserre()
  6. 18:23Fractional Polymorphisms
  7. 20:41Bounded Width Condition
  8. 23:53Main Result
  9. 26:09Comparison to Inapproximability Results
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