Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-adaptedprecheck passaudited 2026-08-11
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 content of a concrete three-dimensional parallelepiped computed from its spanning matrix

Example

Let v1=(2,0,0),v2=(1,3,0),v3=(0,1,−2). The parallelepiped spanned by these vectors has Jordan content 12.

Facts & Assumptions

Given: The three spanning vectors in the statement.

[L1]

The content of a square-matrix parallelepiped is the absolute value of its determinant (The Jordan content of the parallelepiped spanned by the columns of a square real matrix is the absolute value of its determinant).

[L2]

For a commutative ring R, n≥1, and A=(aij)∈Mn(R), the determinant is the finite signed-permutation sum det⁡(A)=∑σ∈Snsgn⁡(σ)∏i<naσ(i),i (For n≥1, the determinant over a commutative ring by the Leibniz formula, and ∣det⁡A∣ for a real matrix).

Verification

technique · computation
1.1

Put the vectors into the columns of the upper-triangular matrix A=(21003100−2).

given
2.1

The signed-permutation formula [L2] leaves only the diagonal term, so det⁡A=2⋅3⋅(−2)=−12.

L2step 1.1
3.1

By [L1], the content is ∣−12∣=12. Directly, the first two vectors span a base of area 6 in the horizontal plane and the third has perpendicular height 2, again giving 12.

L1step 2.1∎

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

14 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