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.
A cloud rounding calculation
Example
Let be a binary constraint graph, let be its cloud graph as constructed by Degree reduction by expander incidence clouds, and let be a labeling of the ports of . Suppose that ports carry a label different from the decoded label of their original vertex, that equality edges inside clouds are violated (counted with multiplicity), and that external edges are violated. Then the bounds of Cloud violations control distance to plurality labels give and for the number of ordinary edges of violated by the decoded labeling: the first is consistent with the integer value , and the second is an upper bound, so no equality and no stronger local bound is asserted. Passing from these counts to the unsatisfaction fractions of the -regular registered graph costs the constant factor of Degree reduction preserves unsatisfaction quantitatively.
Facts & Assumptions
Given: a binary constraint graph over the fixed alphabet , its cloud graph and registered graph , a labeling of the ports of with plurality decoding , and the counts , , of the statement.
If is the number of ports whose label differs from the decoded label of their vertex, then the violated equality edges inside the clouds and the violated ordinary edges of satisfy and , where counts the violated external edges (Cloud violations control distance to plurality labels).
The registered graph is -regular with vertices, and its unsatisfaction fraction is at least times that of with ; the additive ordinary loops and the overlay edges at every port are tautological, so the count of the previous item is a count of edges of and not of edges of (Degree reduction preserves unsatisfaction quantitatively, Degree reduction by expander incidence clouds).
Verification
The first inequality of [F1] with gives , and the labelling has , so the bound holds and its slack is .
The second inequality of [F1] with and gives .
Both bounds are one-sided and the integers and are compatible with them, so the numerical data are consistent; the example shows in particular that ports of disagreement force at least (hence at least integer) internal violations and at most ordinary edge violations in , and nothing of the stronger form or may be inferred from these bounds.
The comparison with the registered graph is a constant rescaling and not a count identity: by [F2] the fraction of violated edges of is at least times the fraction of violated ordinary edges of , and the tautological overlay edges at the ports do not contribute violations in either direction, so the counts , and above are statements about the cloud graph and the original graph .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Irit Dinur, The PCP theorem by gap amplification, §4 Definition 4.1 and Lemma 4.1, printed pp. 12-14. (standard reference, not scraped)
- Arora and Barak, Computational Complexity: A Modern Approach, §18.5, printed pp. 371-373. (standard reference, not scraped)