theoremstandardstructure_uncertain

Gap hardness for weighted parity equations

Reduces SAT to weighted parity equations with gap 1−ξ1-\xi vs 1/2+ξ1/2+\xi
starting hardness gap for the whole reduction
Theorem·thm:parity·§4.1 Weighted parity equations and distinct positions

Statement (paper)

For every fixed rational ξ>0\xi>0, there is a deterministic polynomial-time reduction from Boolean satisfiability to weighted parity instances, with binary-encoded rational weights, such that YES:OPT⁡(E)≥1−ξ,NO:OPT⁡(E)≤12+ξ. \begin{array}{ll} \textup{YES:}&\OPT(\mathcal E)\ge 1-\xi,\\ \textup{NO:}&\OPT(\mathcal E)\le \frac12+\xi. \end{array} The running-time polynomial may depend on ξ\xi.

In plain English

For every fixed rational ξ>0\xi>0, satisfiability reduces in deterministic polynomial time to weighted parity-equation instances E\mathcal E with binary-encoded rational weights. Satisfiable inputs give OPT⁡(E)≥1−ξ\OPT(\mathcal E)\ge 1-\xi, and unsatisfiable inputs give OPT⁡(E)≤12+ξ\OPT(\mathcal E)\le \tfrac12+\xi.

Why it's here

This is the starting hardness input for the paper's route to the Unique Games Theorem. It supplies a near-perfect versus near-random gap for parity equations, which later steps convert into a unique game, so the final game's YES and NO values rest on it. The running time may depend on ξ\xi, so ξ\xi must be fixed in advance.
Classified standard:
This is Håstad's optimal inapproximability theorem for Max-3LIN over GF(2) (Håstad 2001, "Some optimal inapproximability results"), which gives (1−ξ, 1/2+ξ) NP-hardness for parity equations. The weighted version is the form commonly used in the literature.

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
§4.1 Weighted parity equations and distinct positions
Page
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Label
thm:parity
Line
sections/03-game.tex:25
Leannot aligned

Phase 2 aligns this node to a Lean declaration.

Friction

  • info
    structure_uncertain
    No proof in paper; imported from Håstad's Theorem 5.4.