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.
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The tensor quotient by a one-dimensional subspace and its kernel
Example
Let with standard basis , let , let with standard basis and let . Then inside , and sends the basis tensor to a basis element of ; in particular is surjective and , as predicted by Tensoring injections and the kernel of a tensor product of quotient maps over a field.
Facts & Assumptions
Given: A field , the space with standard basis and subspace , the space with standard basis and subspace , and the quotient maps , .
The tensor product conventions: every element is a finite sum of elementary tensors and the defining relations give bilinearity with (Scalars, tensor powers, the empty tensor, opposite algebras and finite sums).
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).
Under the Axiom of Choice, for subspaces , over a field, inside , the inclusions being those of the lemma (Tensoring injections and the kernel of a tensor product of quotient maps over a field).
Verification
By [F2] the four tensors form a basis of , and the classes and form bases of the one-dimensional quotients, so is the product basis of by [F2]. Since kills and fixes the class of , while kills and fixes the class of , the map kills exactly those basis tensors with in the first factor or in the second, namely , and , and sends to the basis element ; in particular is surjective by [F1] and [F2].
Since is a basis of by [F2], a tensor lies in the kernel of the linear map exactly when ; step 1.1 shows that for the three basis tensors , , , while is a nonzero product-basis element, so in the basis expansion the kernel condition is the vanishing of the single coefficient of and the kernel is exactly . That span equals inside because and as the product bases of the respective tensor products, and by the basis expansion of [F2] its dimension is . The dimension formula reads , in agreement with the kernel just computed and with the prediction of [F3], whose complement argument is not needed for this explicit computation.
Depends on
Used by
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Dependency tree · two levels
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Sources
- Keith Conrad, Tensor products (University of Connecticut expository notes, 60 pp.) (standard reference, not scraped)