How statement and proof provenance work
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Kernels, images, quotients, and matrix coefficients of comodules
Statement
Let be a coalgebra over a field . The regular pair is a right -comodule. If is a right-comodule map, then and inherit right-comodule structures, the quotient is a right comodule, and the induced map is a comodule isomorphism, assuming AC. For a finite-dimensional right comodule with ordered basis , write Then Conversely, any elements satisfying these two identities define a right-comodule structure on the vector space with basis by the displayed formula.
Facts & Assumptions
Given: A field , a coalgebra with maps and , right -comodules and , a right-comodule map , and, for the coefficient clause, a finite-dimensional right comodule with a fixed ordered basis.
A right comodule has a linear map satisfying and ; a map is a comodule map when . (Right comodules, comodule maps, and subcomodules)
A coalgebra has coassociative comultiplication and a counit for which both counit composites are the identity through the tensor-unit isomorphisms; coalgebra maps preserve both structure maps. (Coalgebra and coalgebra map over a field)
The tensor products are over , every tensor is a finite sum of elementary tensors, and tensor powers are re-associated only through the stated associators. (Scalars, tensor powers, the empty tensor, opposite algebras and finite sums, Associator naturality, pentagon, unit triangle and symmetry hexagons on elementary tensors)
Under AC, tensoring an injective linear map by remains injective; for quotient maps and , is the image of in . (Tensoring injections and the kernel of a tensor product of quotient maps over a field)
Tensor maps act on elementary tensors by and preserve identities and composition. (Module homomorphisms induce tensor-product homomorphisms functorially)
and ; these are subspaces for a linear map. (Kernel and image of a linear map, The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial)
If is a submodule, consists of cosets and the quotient map is . (Submodule of a module, Quotient module with scalar multiplication on additive cosets)
For a finite ordered basis, each vector has a unique coordinate list. (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)
AC holds, so the tensor-injection and tensor-kernel conclusions in [F4] apply to arbitrary vector spaces. (The Axiom of Choice)
Proof
Given: The objects and map in the statement, with AC for the arbitrary-dimensional kernel, image, and quotient claims.
For the regular object take . The coalgebra coassociativity identity is exactly , and its two counit identities give (and the other counit identity), so is a right comodule by the coalgebra definition [F2].
Let have ordered basis , and write for the unique coordinates of from [F8]. For and , the coordinate list of is by the vector-space laws; uniqueness in [F8] therefore gives , so each coordinate function is linear. For each , write as a finite tensor by [F3], expand each , and collect . Applying recovers , so the expansion is unique.
Let , , and let be the quotient. The map , , is well-defined and injective: equal cosets have difference in , and implies . It is linear because for and cosets represented by , . Thus , so functoriality [F5] gives . By [A1] and [F4], is injective, while the kernel formula in [F4] with and gives . Therefore . The same tensor-injection result makes the inclusion injective.
Apply coassociativity to and use the expansion in 1.2 to get . Applying gives . Using the counit equation under the tensor-unit identification and then applying gives .
For , the comodule-map equation gives . By step 1.3, has a unique preimage in under the injective map , where ; define to be that preimage. This is linear because it is the inverse of a linear isomorphism onto its image. The identity and the injectivity of show that coassociativity of follows from coassociativity of ; injectivity of and the same identity show its counit law. Hence is a subcomodule and is a comodule map.
Conversely, suppose the displayed matrix identities hold. Define on the basis by and extend linearly using the unique coordinates from [F8]; the coordinate functionals are linear by step 1.2. For each basis vector, by the coproduct identity; also . The maps in each identity are linear and the basis spans , so both identities hold on every vector; hence this is a right comodule.
Factor as , where is a subspace by [F6], with codomain restricted to is the linear corestriction of , and is inclusion. The map is onto by the definition of . Define . If , then ; by 2.2, lies in the image of , which kills, so the formula is well-defined. It is linear and satisfies . Precomposing the coassociativity identity for with the surjection gives , so it holds by coassociativity on and surjectivity of . Likewise, precomposing its counit identity with gives , which holds by counitality on ; surjectivity gives the identity on . Thus is a coaction. Since is a comodule map, ; surjectivity of proves , so is a comodule map.
Let be an injective comodule map and set . By step 3.2, has the image coaction making its inclusion a comodule map. Let be the quotient and set . If is replaced by , the difference is because is the image of a tensor in ; hence is well-defined. It is linear and . Precomposing its coassociativity identity with the surjection gives , so it holds by coassociativity on and surjectivity of . Precomposing its counit identity with gives , which follows by counitality on ; surjectivity gives the identity on . Thus the quotient is a comodule and is a comodule map.
The map , , is the same induced map as with codomain restricted to . It is injective by the definition of and onto by the definition of , hence is a vector-space isomorphism. The quotient and image coaction formulas in steps 3.2 and 4.1 give . Since and its tensor map are isomorphisms, composing this identity with their inverses shows is also a comodule map.
Step 1.1 establishes the regular comodule; steps 1.2, 2.1, and 3.1 prove both directions of the finite coefficient-matrix characterization. Steps 1.3, 2.2, 3.2, 4.1, and 5.1 establish the kernel, image, quotient, and first-isomorphism claims under AC.
Depends on
- Right comodules, comodule maps, and subcomodules
- Scalars, tensor powers, the empty tensor, opposite algebras and finite sums
- Associator naturality, pentagon, unit triangle and symmetry hexagons on elementary tensors
- Tensoring injections and the kernel of a tensor product of quotient maps over a field
- Module homomorphisms induce tensor-product homomorphisms functorially
- The Axiom of Choice
- Linear map between vector spaces over the same field
- Kernel and image of a linear map
- Quotient module $M/N$ with scalar multiplication on additive cosets
- Submodule of a module
- The kernel and image are linear subspaces, and a linear map is injective if and only if its kernel is trivial
- 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
- Coalgebra and coalgebra map over a field
Used by
Cited to discharge well-definedness by Right comodules, comodule maps, and subcomodules.
Dependency tree · two levels
46 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
- Daniel Kongsgaard and UCSD Math 207A, Hopf Algebras Lecture Notes, Spring 2020 (standard reference, not scraped)
- William Chin, A Brief Introduction to Coalgebra Representation Theory (standard reference, not scraped)