lemmaroutineinferred_dep
Advice agreement decays with clean coordinates
Advice agreement decays exponentially in when OPT ≤ 4/5
soundness side of the matrix gap
Lemma·
lem:clean·§6.2 Vanishing advice on clean coordinatesStatement (paper)
If , every pair of local randomized strategies
in the advice experiment satisfies
In particular, the upper bound tends to zero uniformly over the parity
instance as tends to infinity along cubes, with the advice spaces
fixed.
In plain English
If , any pair of local randomized strategies in the advice experiment satisfies with probability at most , hence at most . So the bound goes to zero uniformly over the parity instance as along cubes, with the advice spaces fixed.
Why it's here
The proof finds the coordinates where the advice slope vanishes (clean coordinates). These behave as independent samples of the original game, so parallel repetition bounds the agreement probability given the clean set. Averaging over the binomial clean count gives a bound uniform in the advice , which makes the advice unable to help the provers as grows. The later matrix-gap proposition and the choice of rely on this decay.}
Classified routine:
The decay bound comes from applying parallel repetition for projection games (Rao/Dinur–Steurer style bound) to the clean coordinates, then a Chernoff-type average over the binomial clean count. This is an adaptation of the standard argument showing that correlated advice cannot help the provers in a repeated game.
Uses
Used by
Inside the proof
Figures
Figure 1diagramp. 6
The solid arrows describe the reduction; the dashed arrows describe its soundness argument. The decoding lower bound follows from high test acceptance, while the clean-coordinate upper bound follows from the NO parity gap and applies to every advice strategy. The constants are fixed before the tuple length grows.
What it shows
A two-column flow diagram. The left column, "The reduction", has three boxes linked by solid arrows: 3SAT to a weighted parity gap instance, then the latent matrix test (stable nonlinear map, Lemma 3.1), then via "Rounding and subdivision; parallel repetition" to unweighted simple bipartite Unique Games (Theorem 1.1). The right column, "Soundness on a NO input", has two branches with dashed arrows: assuming test acceptance at least 0.99 gives decoded advice strategies with agreement at least (Proposition 5.3), while a NO parity instance gives agreement at most for every pair of strategies (Lemma 6.2). Both branches point to a bottom box stating a contradiction for sufficiently large : .
Read from the image by claude-opus-5.5 · confidence 88%
SupportsthmThe Unique Games TheoremlemLatent alphabet gadget with detecting noisepropMatrix test passing yields decoding strategieslemAdvice agreement decays with clean coordinatesthmGap hardness for weighted parity equationsthmParallel repetition for projection gameslemSubdivision yields unweighted simple gamepropMatrix game completeness and soundness gap
Sources
PaperOpen
- Section
- §6.2 Vanishing advice on clean coordinates
- Page
- —
- Label
lem:clean- Line
sections/05-clean.tex:88
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depcritique: Lemma 6.2 bounds agreement "in the advice experiment". Its proof setup (sections/05-clean.tex:66-86) recalls the advice experiment of Section 5, which is Definition 5.2.