Alphabeta Math
PropositionStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-01
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  • 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.

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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 R,S,T on the same finite-dimensional real vector space and scalars a,b.

[F1]

The tensor product is defined by multiplying the two factor values on concatenated arguments (The tensor product of multilinear tensors).

Proof

technique · direct
1.1

Fix a list of arguments of the right total type. By [F1], ((RS)T) evaluates on that list as the product of the three separate values R()S()T().

F1givenalgebra
1.2

The same formula [F1] gives exactly the same scalar for R(ST) on the same list of arguments. Hence (RS)T=R(ST).

F1givenalgebra
1.3

Again by [F1], ((aR+bS)T)()=(aR+bS)()T()=a(RT)()+b(ST)(), and the same computation in the second slot gives bilinearity there as well.

F1givenalgebra
2.1

Therefore the tensor product is associative and bilinear in each factor.

step 1.2step 1.3

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