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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-sol)audited 2026-09-30
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Composition transfers a constant fraction of unsatisfaction

Statement

Let G be a finite binary constraint graph over a finite ordered alphabet Σ with ∣Σ∣≥2, and let H=G∘P be its Boolean arity-six composition with the two-piece assignment tester. Put δ=1/2 for the relative distance of the shared Walsh–Hadamard block code and ρ0=1/1000 for the local assignment-tester rejection ratio. If E(G)≠∅, then for every Boolean labeling τ of H, decode each shared vertex block to its nearest codeword, breaking ties by the fixed alphabet order, and extend that decoded labeling to isolated vertices by the first alphabet symbol; call the result στ. Then UNSAT⁡τ(H)≥ρ0δ4UNSAT⁡στ(G)≥ρ0δ4UNSAT⁡(G). Consequently, UNSAT⁡(H)≥ρ0δ4UNSAT⁡(G)=18000UNSAT⁡(G). If G is edgeless, both unsatisfaction values are zero and the same global inequality holds. Edge multiplicities are counted as separate edge records.

Facts & Assumptions

Given: Fix the finite graph and its defined composition. For the nonempty-edge case, fix an arbitrary labeling τ of the output variables.

[F1]

For any named input a and auxiliary labeling b, an assignment tester of ratio ρ guarantees UNSAT⁡a∪b(P(C,X))≥ρ δ(a,SAT⁡(C)). (Assignment tester and rejection ratio)

[F2]

The two-piece construction applied to the combined named input list is an explicit Boolean assignment tester with rejection ratio ρ0=1/1000. (A two-piece constant-query PCP of proximity)

[F3]

If the labels decoded from the physical endpoint blocks violate an edge, their formal two-piece input is at relative distance at least δ/4=1/8 from the circuit's accepting set; this holds for loops and for an empty accepting set. (A violated decoded edge is far from edge-circuit acceptance)

[F4]

Composition shares the two formal named pieces with the endpoint blocks (the same block in both positions of a loop) and gives every remaining gadget variable a private edge name. (Composition of an edge system with an assignment tester)

[F5]

For nonempty E(G) and every output labeling, composition's unsatisfaction is the average of the local gadget unsatisfactions after uniform row duplication. (Composition of an edge system with an assignment tester)

[F6]

Graph unsatisfaction for a labeling is the fraction of violated ordinary edge records, global UNSAT⁡(G) is the minimum over labelings, and isolated vertices do not affect value. (Constraint graph and labeling value)

[F7]

A constraint-system labeling has nonnegative unsatisfaction equal to its violated fraction; global unsatisfaction is the minimum over all labelings and is zero for an empty constraint list. (Assignment tester and rejection ratio)

[F8]

For an edgeless input, the composition has no variables or constraints. (Composition of an edge system with an assignment tester)

Proof

Given: Use the constants and arbitrary output labeling from the statement.

1.1F6F7F8givencases

If E(G)=∅, then UNSAT⁡(G)=0 by [F6]. The composition has an empty constraint list by [F8], so UNSAT⁡(H)=0 by [F7]. The claimed global inequality follows.

1.2F3F4F6givenconstruct

Suppose E(G)≠∅. For each active vertex v, let Bv be its physical block under τ and decode it by the nearest-codeword rule of [F3]. Each vertex has one shared block by [F4], so this gives one label at that vertex for every incident edge, including both formal positions of a loop. Assign the first symbol of Σ to any isolated vertex; by [F6] this extension does not change graph unsatisfaction. Denote the resulting global graph labeling by στ.

1.3F5givenalgebra

For each edge e, let τe be the pullback of τ to its local gadget under the composition map. The equal-row construction in [F5] gives UNSAT⁡τ(H)=1∣E(G)∣∑e∈E(G)UNSAT⁡τe(Te).

2.1F1F2F3F4F7step 1.2step 1.3constructalgebra

Let Fτ be the edge records violated by στ. For each e=(v,w)∈Fτ, the named input to its local tester is the formal pair (Bv,Bw), with (Bv,Bv) for a loop. By [F3] this input is at relative distance at least δ/4 from the edge circuit's accepting set. By [F2] and [F4], the local gadget is the assignment tester for that circuit on both named pieces; applying [F1] to the pullback labeling τe therefore gives UNSAT⁡τe(Te)≥ρ0δ/4. For an edge outside Fτ, its local unsatisfaction is at least zero by [F7].

3.1F6step 1.3step 2.1algebra

Combine the identity of step 1.3 with the local bounds of step 2.1. Since ∣Fτ∣/∣E(G)∣=UNSAT⁡στ(G) by [F6], and UNSAT⁡(G) is the minimum over graph labelings, it follows that UNSAT⁡τ(H)≥ρ0δ4∣Fτ∣∣E(G)∣=ρ0δ4UNSAT⁡στ(G)≥ρ0δ4UNSAT⁡(G).

4.1F7step 1.1step 3.1algebradischarge-construct∎

Step 3.1 holds for every Boolean labeling τ of the finite output system. Taking the minimum over those labelings gives the asserted inequality for UNSAT⁡(H). The edgeless case was handled in step 1.1, and ρ0δ/4=(1/1000)(1/2)/4=1/8000.

Remarks

Dinur's proof of Lemma 1.8 decodes each shared block to a closest old-alphabet symbol, uses assignment-tester soundness on every edge whose decoded relation fails, and averages the local violations using equal gadget sizes. The present composition makes those sizes equal by LCM duplication and uses the proved distance bound δ/4 for its shared Walsh–Hadamard blocks. Arora–Barak's proof of Lemma 18.30 uses the same decoded-label and per-cluster soundness pattern. The exact local ratio and robust-distance claim used here are the completed suppliers cited above; neither source is treated as a substitute for those local proofs.

Depends on

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Sources