propositionroutine
Matrix game completeness and soundness gap
Matrix game has value ≥ if satisfiable, ≤ 99/100 otherwise
supplies the gap for subdivision and repetition
Proposition·
prop:matrix-gap·§6.3 The matrix-game gapStatement (paper)
Fix and choose the latent and shortcode data in the order of
Equation . For every sufficiently large
cube , the matrix game constructed from a weighted
parity instance with distinct positions satisfies
The lower threshold on depends only on the fixed latent and
shortcode data, not on or .
In plain English
For all sufficiently large cubes (threshold depending only on the fixed latent and shortcode data), the matrix game built from a weighted parity instance with distinct positions has value at least when , and value at most when .
Why it's here
This combines completeness (Lemma 4.3, which gives the bound) with soundness: if had value above , the table-decoding proposition would produce correlated local strategies agreeing with constant probability , contradicting the decay of advice agreement in the clean-coordinates lemma once is large. It yields a gap with adjustable completeness through , which the final choice of and the Unique Games theorem use.
Classified routine:
Direct combination of the completeness lemma (Lemma 4.3) with the matrix-decoding proposition and the clean-coordinates decay lemma, via a standard contradiction once is large; the proof only assembles these earlier nodes.
Uses
Used by
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
- §6.3 The matrix-game gap
- Page
- —
- Label
prop:matrix-gap- Line
sections/05-clean.tex:243
Leannot aligned
Phase 2 aligns this node to a Lean declaration.