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.
Random binary subsums detect every nonzero discrepancy
Statement
For every nonzero and uniform , The same conclusion applies whenever is a nonzero vector of violated quadratic equations or the difference of two distinct decoded prefixes.
Facts & Assumptions
Given: A nonzero binary vector and the uniform distribution on the finite cube.
Distinct Walsh–Hadamard messages in dimension have tables that disagree on exactly half the coordinates. (Distinct Walsh–Hadamard words differ on half the cube)
Proof
Since , choose the least index with , and let be its unit vector. The map is a fixed-point-free involution of the cube and , so it pairs each outcome with one whose dot product has the opposite bit.
Each pair from step 1.1 has exactly one vector with , hence exactly of the vectors satisfy the event and its uniform probability is . Equivalently these are precisely the coordinates where and disagree, consistent with the half-distance lemma in [F1]. Thus every nonzero violated-equation vector and every difference of distinct prefixes has the same detection probability; the number and correlations of its coordinates are irrelevant.
Depends on
Used by
Dependency tree · two levels
2 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
- Arora and Barak, Computational Complexity: A Modern Approach, §18.4.2 random subsum principle and its applications, printed pp. 366–367 (standard reference, not scraped)