propositionroutine

Matrix game completeness and soundness gap

Matrix game has value ≥ 1−kξ−p∗/21-k\xi-p_*/2 if satisfiable, ≤ 99/100 otherwise
supplies the gap for subdivision and repetition
Proposition·prop:matrix-gap·§6.3 The matrix-game gap

Statement (paper)

Fix p∗>0p_*>0 and choose the latent and shortcode data in the order of Equation . For every sufficiently large cube kk, the matrix game G\mathcal G constructed from a weighted parity instance E\mathcal E with distinct positions satisfies OPT⁡(E)≥1−ξ⟹val⁡(G)≥1−kξ−p∗/2,OPT⁡(E)≤4/5⟹val⁡(G)≤99/100. \begin{aligned} \OPT(\mathcal E)\ge1-\xi &\quad\Longrightarrow\quad \val(\mathcal G)\ge1-k\xi-p_*/2,\\ \OPT(\mathcal E)\le4/5 &\quad\Longrightarrow\quad \val(\mathcal G)\le99/100. \end{aligned} The lower threshold on kk depends only on the fixed latent and shortcode data, not on E\mathcal E or ξ\xi.

In plain English

For all sufficiently large cubes kk (threshold depending only on the fixed latent and shortcode data), the matrix game G\mathcal G built from a weighted parity instance E\mathcal E with distinct positions has value at least 1−kξ−p∗/21-k\xi-p_*/2 when OPT⁡(E)≥1−ξ\OPT(\mathcal E)\ge 1-\xi, and value at most 99/10099/100 when OPT⁡(E)≤4/5\OPT(\mathcal E)\le 4/5.

Why it's here

This combines completeness (Lemma 4.3, which gives the 1−kξ−p∗/21-k\xi-p_*/2 bound) with soundness: if G\mathcal G had value above 99/10099/100, the table-decoding proposition would produce correlated local strategies agreeing with constant probability γ\gamma, contradicting the decay of advice agreement in the clean-coordinates lemma once kk is large. It yields a gap with adjustable completeness through p∗p_*, which the final choice of kk 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 kk is large; the proof only assembles these earlier nodes.

Figures

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 $\gamma>0$ (Proposition 5.3), while a NO parity instance gives agreement at most $\exp(-ck^{1/3})$ for every pair of strategies (Lemma 6.2). Both branches point to a bottom box stating a contradiction for sufficiently large $k$: $\exp(-ck^{1/3})<\gamma$.
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 c,γ>0c,\gamma>0 are fixed before the tuple length kk 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 γ>0\gamma>0 (Proposition 5.3), while a NO parity instance gives agreement at most exp⁡(−ck1/3)\exp(-ck^{1/3}) for every pair of strategies (Lemma 6.2). Both branches point to a bottom box stating a contradiction for sufficiently large kk: exp⁡(−ck1/3)<γ\exp(-ck^{1/3})<\gamma.
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Sources

PaperOpen
Section
§6.3 The matrix-game gap
Page
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Label
prop:matrix-gap
Line
sections/05-clean.tex:243
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