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Finite tensor duality and basis-independent coevaluation
Statement
Let be finite-dimensional -vector spaces.
- The bilinear map , , induces an isomorphism . For ordered bases of , of with dual bases , , the image of is the dual basis vector of in the product basis of .
- For every ordered basis of the element is independent of the basis and corresponds to under the isomorphism , (For finite-dimensional , the canonical map is an isomorphism). Its image under is the corresponding element of .
- The evaluation , , and the coevaluation , , are independent of the basis and satisfy and , the unit isomorphisms , being understood.
Facts & Assumptions
Given: A field , finite-dimensional -vector spaces , ordered bases of and of with their dual bases, and ordered bases of written .
The tensor product conventions: is the tensor product over with its universal property, every element is a finite sum of elementary tensors, the unit isomorphisms and are given by and , and tensor powers are left-associated with (Scalars, tensor powers, the empty tensor, opposite algebras and finite sums).
The algebraic dual is the space of linear functionals on (Linear functionals and the algebraic dual ).
The dual family of a basis is defined by and linear extension (The dual family associated to a Hamel basis , defined by ).
If is a basis of a finite-dimensional space, its dual family is a basis, so it is linearly independent and spans the dual space (The dual family of a finite basis is a basis of the dual space, with the same dimension).
The elementary tensors of two bases form a basis of the tensor product (The elementary tensors of two bases form the product basis of the tensor product).
Coordinates with respect to an ordered basis are unique, so with the coordinate list of ; for the dual basis of a basis this gives and (A finite list is an ordered basis if and only if every equals for exactly one ; those scalars are the coordinates of in that ordered basis).
For finite-dimensional the map , , is an isomorphism with inverse (For finite-dimensional , the canonical map is an isomorphism).
The symmetry and associativity isomorphisms act on elementary tensors by and (Symmetry and associativity isomorphisms for tensor products over a commutative ring).
The unit isomorphisms and are isomorphisms with the stated formulas (The regular module is a tensor unit: and ).
Proof
Claim 1. For fixed the pairing , , is -bilinear, so it defines a functional with by the universal property in [F1], the star denoting the space of linear functionals [F2]; the assignment is itself -bilinear, so it induces a -linear map by [F1]. On the one hand is a basis of by [F4] and [F5], on the other hand the dual vectors in of the product basis (a basis by [F5]) form a basis of by [F4]; and by [F3], so because linear functionals agreeing on the spanning product basis agree. If satisfies , then and linear independence of the dual product basis [F4] gives all , so is injective; and every is by spanning [F4], so is surjective. Hence is an isomorphism with the stated values on the dual product basis.
Claim 2. By [F7] the map is an isomorphism, so the preimage of is unique and any two bases give the same element as soon as both give . For the coordinate expansion of [F6] gives , hence on a spanning set of , so and the element is the unique preimage of , independent of the basis. Its image under is by the elementary-tensor formula of [F8].
Claim 3. The pairing , , is -bilinear, so it induces , , by [F1]; evaluation is basis-free. The coevaluation is defined by , which by step 1.2 is independent of the basis and equals applied to the unique preimage of ; it is -linear because is spanned by . For the first zigzag, use the conventions of [F1] and the formulas of [F8] and [F9]: for , , the associator sends this to , and sends it to by [F6], which the unit isomorphism identifies with ; both composites are linear in , so they agree everywhere. For the second zigzag, maps under to , the inverse associator sends this to , and sends it to by the dual expansion of [F6], which the unit isomorphism identifies with ; again both composites are linear, so equality on the spanning elements proves the identity.
Steps 1.1, 1.2 and 2.1 prove claims 1, 2 and 3 respectively, with the dual product basis values, the basis independence of the preimage of , and both zigzag identities established.
Remarks
- Infinite dimension is deliberately outside the claim. No surjectivity of is claimed in infinite dimension, and the companion page's An infinite-dimensional tensor-dual functional outside the image ↗ exhibits a functional outside the image when has an infinite basis, so the finite-dimensional hypothesis of part 1 cannot simply be dropped.
Depends on
- Scalars, tensor powers, the empty tensor, opposite algebras and finite sums
- Linear functionals and the algebraic dual $V^*=\mathcal L(V,F)$
- The dual family $(b^*)_{b\in B}$ associated to a Hamel basis $B$, defined by $b^*(c)=\delta_{bc}$
- The dual family of a finite basis is a basis of the dual space, with the same dimension
- The elementary tensors of two bases form the product basis of the tensor product
- A finite list $v : n \to V$ is an ordered basis if and only if every $x \in V$ equals $\sum_{i<n} \lambda_i v_i$ for exactly one $\lambda : n \to F$; those scalars are the coordinates of $x$ in that ordered basis
- For finite-dimensional $V$, the canonical map $V^*\otimes_FW\to\operatorname{Hom}_F(V,W)$ is an isomorphism
- Symmetry and associativity isomorphisms for tensor products over a commutative ring
- The regular module is a tensor unit: $R\otimes_RN\cong N$ and $M\otimes_RR\cong M$
Used by
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Sources
- Keith Conrad, Tensor products (University of Connecticut expository notes, 60 pp.) (standard reference, not scraped)