Unique Games and Expansion
summary
Gives concrete algorithms: when low-degree sum-of-squares proofs certify small-set expansion, a degree-2 SoS relaxation plus a conditioning-and-sample rounding produces a labeling that turns a 90%‑satisfiable affine Unique Games instance on an expander into ≈50% satisfied constraints. Extends to certified global hypercontractivity using higher-degree SoS and a preprocessing that preserves pairwise independence after conditioning. Targets Johnson/Grassmann-style graphs, explains why certain Johnson-graph regimes remain plausible hard instances (49% vs 1% hardness) and what structural witnesses make them easy or hard.
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chapters (15)
- 0:00Intro
- 0:49Propagation
- 2:41History of Unique Games
- 5:41Johnson graphs
- 8:09UG on Expanders: Uniqueness
- 12:57Sum-of-Squares: Distribution view
- 14:21Expander Algorithm from Uniqueness
- 15:23Analysis of Expander Algorithm
- 21:30Small Set Expanders
- 25:15Analysis of SSE Algorithm
- 31:26Algorithm on Globally Hypercontractive Graphs
- 38:12Algorithms for UG on Non-Globally Hypercontractive (Johnson) Graphs?
- 40:37Summary
- 40:47Hard instances for UG?
- 41:52New Tools for Rounding SoS
