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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Tensoring injections and the kernel of a tensor product of quotient maps over a field
Statement
Assume the Axiom of Choice (The Axiom of Choice). Let be a field, let be an injective linear map and let be a -vector space. Then is injective. Moreover, if and are subspaces and , are the quotient maps, then, viewing and as subspaces of through the injections of the first part and the inclusions , ,
Facts & Assumptions
Given: A field , an injective linear map , a -vector space , subspaces , , and the quotient maps , .
The Axiom of Choice holds, so by Every linear subspace of a vector space has a complement: a linear subspace with every linear subspace of a vector space has a complement: for the injections , and the inclusions , , there are subspaces with , and (Internal direct sum : the sum is everything and each summand meets the sum of the others only in ).
The conventions: is the tensor product with its universal property, every element is a finite sum of elementary tensors, the defining relations give , and , and (Scalars, tensor powers, the empty tensor, opposite algebras and finite sums).
Functoriality: defines a linear map, , and (Module homomorphisms induce tensor-product homomorphisms functorially).
Quotient modules consist of cosets, the quotient map is linear with kernel the submodule quotiented by, and kernels and images of linear maps are subspaces (Quotient module with scalar multiplication on additive cosets, Kernel and image of a linear map, Linear subspace of a vector space).
Proof
Injectivity of : by [A1] write and define by ; this is well defined and linear because every element of has a unique decomposition, and . By [F2], , so has a left inverse and is injective.
Containment: for and one has by [F1], because kills ; likewise kills every because kills . Hence and lie in the kernel , which is a subspace by [F3], so their sum lies in the kernel as well.
Complements and an isomorphism: by [A1] write and . The restrictions and are isomorphisms onto and : a coset with equals , so is surjective, and if then by the direct-sum condition, so is injective (and likewise for ); by [F2] the map is then an isomorphism with inverse , where and . Every element of is uniquely with , , so the component maps and are well defined and linear, and likewise for ; consequently each of the three inclusion-induced maps , and has a left inverse induced by the corresponding component projection (for the first, by [F2], and similarly for the others), hence is injective and exhibits its domain inside through the injections of the statement; under these identifications the composite is exactly , since both send to .
Kernel: let and write as a finite sum of elementary tensors by [F1]. Decompose with , and with , by the direct sums of step 1.3 and expand bilinearly by [F1]: , where the first summand lies in , the second in , and the third is the image of . Applying kills the first two summands by step 1.2, so by the identification of step 1.3; injectivity of gives in , hence the third summand is in , and .
Steps 1.2 and 2.1 give the two inclusions, so for the subspaces exhibited through the injections of step 1.1, and step 1.1 itself is the first assertion of the statement.
Depends on
- Scalars, tensor powers, the empty tensor, opposite algebras and finite sums
- The Axiom of Choice
- Every linear subspace $U$ of a vector space $V$ has a complement: a linear subspace $W$ with $V = U \oplus W$
- Linear subspace of a vector space
- Internal direct sum $V = \bigoplus_{i<n} U_i$: the sum is everything and each summand meets the sum of the others only in $0_V$
- Quotient module $M/N$ with scalar multiplication on additive cosets
- Kernel and image of a linear map
- Module homomorphisms induce tensor-product homomorphisms functorially
- Tensor products commute with arbitrary direct sums
- The regular module is a tensor unit: $R\otimes_RN\cong N$ and $M\otimes_RR\cong M$
- Second isomorphism theorem for modules
Used by
Dependency tree · two levels
50 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)
- The CRing Project, open-source commutative algebra text (2016 PDF; Chapter 13) (standard reference, not scraped)