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.
The norm-2 count does not distinguish the two rank-16 lattices
Example
The two lattices and are positive even unimodular rank-16 lattices with the same number, , of vectors of norm squared , but they are not isometric. Thus the norm-2 count is an isometry invariant that does not distinguish these two classes.
Facts & Assumptions
Given: The coordinate definitions of and with the standard positive-definite inner products.
Both coordinate models are full positive even unimodular rank-16 lattices (The E8 and D16+ models are positive even unimodular lattices).
In coordinates, , where and (E8 ⊕ E8 and D16+ rank-16 lattice models).
The rank-16 classification states that the two models are distinct isometry classes (Classification of positive even unimodular lattices of rank 16).
Verification
Given: The two coordinate lattices and facts [F1]-[F3].
An integer vector in has norm squared exactly when two coordinates are and the other six are zero; every such vector has even coordinate sum, so there are . A vector in has eight half-integer coordinates, each of absolute value at least , so its norm squared is at least ; equality requires every coordinate to be . Such a sign pattern belongs to exactly when it has an even number of minus signs, giving vectors. Hence has norm-2 vectors. In , a vector has norm squared ; by [F1], the squared norms and are even integers, and positive definiteness makes each strictly positive when its component is nonzero. Thus each nonzero component contributes at least , so their sum is exactly when one component is zero and the other is an norm-2 vector. Thus there are such vectors.
An integer vector in has norm squared exactly when two coordinates are and the rest are zero; all four sign choices for every coordinate pair have even coordinate sum, so there are . Every vector in has sixteen half-integer coordinates, each of absolute value at least , hence norm squared at least ; that coset contributes no norm-2 vectors. Therefore also has exactly norm-2 vectors.
By [F3], the two lattices are not isometric despite the equal norm-2 counts established in steps 1.1 and 1.2. The counts are an invariant because an isometry preserves the inner product, but they are not a complete invariant.