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An infinite-dimensional tensor-dual functional outside the image
Statement refuted
The finitely proved identification of Finite tensor duality and basis-independent coevaluation, read without its finite-dimensional hypothesis, would say that the canonical map , , is surjective for every -vector space .
Facts & Assumptions
Given: An infinite set , a field , the free module with standard basis , and the functional with .
The free module on has standard basis with unique finite expansions, and a set map from a basis into a module extends uniquely to a linear map (The free module on a set and its standard basis, Universal property of the free module on a set).
The elementary tensors of two bases form a basis of (The elementary tensors of two bases form the product basis of the tensor product).
The algebraic dual is the space of linear functionals ; the coordinate functionals with exist by [F1] (Linear functionals and the algebraic dual ).
A set is linearly independent when every injective finite list into is independent, and a basis is an independent spanning set (Linear independence: a finite list is independent when forces every , and a subset is independent when every injective finite list into is independent, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
If a vector space has a spanning set with elements, then every linearly independent subset of it is finite with at most elements (If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with ).
Every element of a tensor product is a finite sum of elementary tensors, and bilinear pairings induce linear maps by its universal property (Scalars, tensor powers, the empty tensor, opposite algebras and finite sums).
Counterexample
Let be an infinite set, let have basis , and let be the linear functional determined on the product basis by . Then is not in the image of the canonical map , : the tensor-dual identification is a finite-dimensional phenomenon, and for the outside functional is the coefficient pairing , which is not a finite sum of products of functionals.
For , the bilinear pairing defines a functional by [F6]; the assignment is itself bilinear, so [F6] gives a linear map with , without a finite-dimensional hypothesis. The product basis of [F2] is a basis of , so prescribing the values on it defines a unique linear functional by [F1]; in particular is well defined and , hence , is infinite. Likewise the coordinate functionals of [F3] are well defined, and the set is infinite because is injective (they take different values at the single vector ), and it is linearly independent: if is a finite relation with distinct indices , evaluating at gives .
Suppose is the image of an element of , written as a finite sum of elementary tensors by [F6]. For fixed the functional is the coordinate functional , because , and by the canonical-map formula in step 1.1 it is also ; hence every lies in the finite-dimensional span of . Thus the infinite linearly independent set of step 1.1 lies in a space spanned by elements, contradicting [F5], which forbids an infinite linearly independent subset in such a space.
No finite sum can have image , so lies outside the image of the canonical map and the map is not surjective for this infinite-dimensional : surjectivity of is a finite-dimensional phenomenon, as claimed. For and , (finite sums) one computes , so the outside functional is exactly the coefficient pairing, which is not a finite sum of products of functionals by step 2.1.
Depends on
- Scalars, tensor powers, the empty tensor, opposite algebras and finite sums
- Finite tensor duality and basis-independent coevaluation
- The free module on a set and its standard basis
- The elementary tensors of two bases form the product basis of the tensor product
- Linear independence: a finite list $v : n \to V$ is independent when $\sum_{i<n} \lambda_i v_i = 0_V$ forces every $\lambda_i = 0_F$, and a subset $S \subseteq V$ is independent when every injective finite list into $S$ is independent
- Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
- If $V$ has a spanning set with $n$ elements, then every linearly independent subset of $V$ is finite with at most $n$ elements; in particular $V$ has no linearly independent subset equinumerous with $\mathbb{N}$
- Universal property of the free module on a set
- Linear functionals and the algebraic dual $V^*=\mathcal L(V,F)$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Keith Conrad, Tensor products (University of Connecticut expository notes, 60 pp.) (standard reference, not scraped)
- The CRing Project, open-source commutative algebra text (2016 PDF; Chapter 13) (standard reference, not scraped)