Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-sol)audited 2026-09-30
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Composition of an edge system with an assignment tester

Definition

Fix a finite binary constraint graph G over an alphabet Σ of size W≥2, and form its blocks and ordered robust edge circuits using Shared codeword blocks and edge acceptance circuits. Each active vertex v has a block Bv=((v,1),…,(v,ℓ)), where ℓ=2⌈log⁡2W⌉. For an edge e=(v,w), let Ce(Xe,Ye) be its robust circuit, with its two formal input pieces Xe=(xe,1(1),…,xe,ℓ(1)) and Ye=(xe,1(2),…,xe,ℓ(2)) in the specified endpoint order.

Let P be the deterministic two-piece assignment-tester construction of A two-piece constant-query PCP of proximity. Apply P to Ce with these two named input lists. Write its Boolean constraint system as Te=(Ve,Ce), let Xe∗=Xe∪Ye be its named raw input variables, and put qe=∣Ce∣. The system has arity at most six; all variables in Ve∖Xe∗, including the verifier's external and private proof-table variables, are local auxiliary variables.

For every edge, qe is a positive integer. Indeed, W≥2 gives ℓ≥2, so this local instance has n=2ℓ>0. In the construction in A two-piece constant-query PCP of proximity, the comparison family then has D=n2L≥1 rows, and each of the nine test families is padded to U=D2K≥1 rows. Thus qe=9U>0. If the edge set is nonempty, set M=lcm⁡{qe:e∈E(G)}. This is a well-defined positive integer because the edge set is finite and each qe>0. If E(G)=∅, define G∘P to have no variables and no constraints.

Suppose E(G)≠∅. The output variable set consists of the active vertex blocks together with a fresh private copy (e,z) of every z∈Ve∖Xe∗ for each edge e. Map the first named piece of Te coordinatewise to Bv and the second coordinatewise to Bw. When e is a loop, v=w, so both formal pieces map coordinatewise to the same block. Map each auxiliary variable z to its private copy (e,z). Call the resulting map on gadget variables ϕe. Thus endpoint bits are shared across all incident edge gadgets, while every other gadget variable is private to one edge.

For each ordered constraint (z1,…,zr,R)∈Ce, with R⊆{0,1}r, put exactly M/qe copies of (ϕe(z1),…,ϕe(zr),R) in the output constraint list. The composition G∘P is the Boolean constraint system on the variables just described and the multiset union of these lists. It has arity at most six. Repetitions in tuples and duplicate constraints are retained, as allowed by Assignment tester and rejection ratio. Every edge contributes exactly M constraints, so the total list has ∣E(G)∣M constraints.

For any labeling τ of the output variables, let τe be its pullback to Ve along ϕe. Since duplicating every row of Te by the same factor preserves its violated fraction, for nonempty E(G) UNSAT⁡τ(G∘P)=1∣E(G)∣∑e∈E(G)UNSAT⁡τe(Te). Conversely, any collection of local gadget labelings that agrees on every variable identification made by the maps ϕe, including the two formal pieces of a loop, combines into a unique output labeling, because all other variables have edge-private names. If the original graph is edgeless, the output has the empty constraint list and unsatisfiability zero under the empty-system convention of Assignment tester and rejection ratio.

Remarks

Dinur's §5.1 Definition 5.1 introduces edge circuits, shares their endpoint variables across assignment-tester outputs, keeps local auxiliary variables private, and assumes equal gadget constraint counts; Lemma 1.8 analyzes that composition. This definition uses the same sharing pattern with the local two-piece Boolean assignment tester and arity-six constraint systems. It achieves equal counts explicitly by taking the least common multiple of the positive finite gadget sizes. Arora–Barak Corollary 18.35 gives the qCSP view of a PCP of proximity, and the proof of Lemma 18.30 uses shared codeword blocks and edge-private proof variables. Those citations motivate this construction; its local assignment-tester properties are supplied by A two-piece constant-query PCP of proximity.

The construction is choice-free: the local tester and robust circuits are deterministic, and the least common multiple and all variable renamings are computed from finite explicit lists. No axiom of choice is used.

Depends on

Used by

Dependency tree · two levels

18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources