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.
Tensor product of multilinear tensors is associative and bilinear
Statement
On a finite-dimensional real vector space, the tensor product of multilinear tensors is associative and bilinear in each factor.
Facts & Assumptions
Given: Tensors on the same finite-dimensional real vector space and scalars .
The tensor product is defined by multiplying the two factor values on concatenated arguments (The tensor product of multilinear tensors).
Proof
Fix a list of arguments of the right total type. By [F1], evaluates on that list as the product of the three separate values .
The same formula [F1] gives exactly the same scalar for on the same list of arguments. Hence .
Again by [F1], , and the same computation in the second slot gives bilinearity there as well.
Therefore the tensor product is associative and bilinear in each factor.
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
- Will J. Merry, Differential Geometry (standard reference, not scraped)