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.
Scalars, tensor powers, the empty tensor, opposite algebras and finite sums
Definition
Fix the following conventions, used on this page and by the later Hopf and Hecke pages.
- is a field (Field) and every vector space is a -vector space (Vector space over a field); means .
- is the tensor product of The tensor product from the additive group underlying the free -module on , elementary tensors, and finite tensor sums, with the -vector-space structure of Over a commutative ring, is an -module with and unit and universal property as in Universal property of the tensor product for balanced maps into abelian groups. Every element of is a finite sum of elementary tensors .
- Tensor powers are left-associated: , and for . The empty tensor is identified with the tensor unit through the isomorphisms of The regular module is a tensor unit: and .
- For an algebra over a commutative ring (Algebras over a commutative ring, central structure maps, and algebra homomorphisms) the opposite algebra has the same underlying set and structure map and product (The opposite ring ).
- Finite sums follow A finite sum in a commutative monoid indexed by an arbitrary finite set; an empty sum is .
Parentheses in iterated tensor products may be dropped only after Associator naturality, pentagon, unit triangle and symmetry hexagons on elementary tensors ↗ has been proved.
Depends on
- Field
- Vector space over a field
- The tensor product $M\otimes_R N$ from the additive group underlying the free $\mathbb Z$-module on $M\times N$, elementary tensors, and finite tensor sums
- Universal property of the tensor product for balanced maps into abelian groups
- Over a commutative ring, $M\otimes_RN$ is an $R$-module with $r(m\otimes n)=(rm)\otimes n=m\otimes(rn)$
- The regular module is a tensor unit: $R\otimes_RN\cong N$ and $M\otimes_RR\cong M$
- Algebras over a commutative ring, central structure maps, and algebra homomorphisms
- The opposite ring $R^{\mathrm{op}}$
- A finite sum in a commutative monoid indexed by an arbitrary finite set
Used by
- An infinite-dimensional tensor-dual functional outside the image Counterexample
- Finite coevaluation computed in two bases Example
- Many finite presentations of one tensor and the invariant contraction Example
- The pentagon on four named vectors in k² Example
- The tensor quotient by a one-dimensional subspace and its kernel Example
- Associator naturality, pentagon, unit triangle and symmetry hexagons on elementary tensors Lemma
- Coefficient separation for an independent family of vectors, with explicit Choice assumptions Lemma
- Finite tensor duality and basis-independent coevaluation Lemma
- Tensoring injections and the kernel of a tensor product of quotient maps over a field Lemma
Dependency tree · two levels
31 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
- Keith Conrad, Tensor products (University of Connecticut expository notes, 60 pp.) (standard reference, not scraped)