Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
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.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Evaluation, coevaluation, and triangle identities for left duals

Statement

Let H be a bialgebra over a field k with antipode S, meaning a linear map satisfying

∑S(h(1))h(2)=ε(h)1H=∑h(1)S(h(2)).

Let V be a finite-dimensional left H-module and give V∗ the candidate action and maps of The left dual of a finite-dimensional Hopf module. Then S(ab)=S(b)S(a) and S(1H)=1H; the candidate action makes V∗ a left H-module; evaluation V∗⊗V→k and coevaluation k→V⊗V∗ are H-linear; and the two triangle composites are identities. No bijectivity of S is assumed.

Facts & Assumptions

Given: A field k, a bialgebra H with multiplication, unit, comultiplication, counit and antipode S, and a finite-dimensional left H-module V. The antipode identities are exactly the two displayed equations in the Statement.

[F1]

The left dual of a finite-dimensional Hopf module: the candidate dual action is (h⋅f)(v)=f(S(h)v), evaluation is f⊗v↦f(v), and coevaluation is the basis-independent tensor 1↦∑iei⊗ei.

[F2]

The module category of a bialgebra and its tensor action: the action on a tensor product of left modules is h⋅(x⊗y)=∑h(1)x⊗h(2)y, and the unit action is through ε.

[F3]

Linear functionals and the algebraic dual V∗=L(V,F): V∗ is the vector space of all linear maps V→k, with pointwise operations.

[F4]

Finite tensor duality and basis-independent coevaluation: for finite-dimensional V, ∑iei⊗ei corresponds to idV independently of the chosen basis; the evaluation and coevaluation maps satisfy both vector-space triangle identities.

[F5]

Universal property of the tensor product for balanced maps into abelian groups: a bilinear pairing on vector spaces induces a unique linear map from their algebraic tensor product.

[A1]

The coproduct is an algebra map, so Δ(ab)=∑a(1)b(1)⊗a(2)b(2) and ε(ab)=ε(a)ε(b); Δ is coassociative and counital.

Proof

technique · direct
1.1A1F5algebraconstruct

Give H⊗H its tensor-product coalgebra, ΔH⊗H(a⊗b)=∑(a(1)⊗b(1))⊗(a(2)⊗b(2)) and counit ε⊗ε. The tensor universal property [F5] defines these maps from their bilinear formulas, and the coalgebra identities follow on pure tensors from those for H; pure tensors span. Thus convolution on Hom⁡k(H⊗H,H), (f∗g)(z)=∑f(z(1))g(z(2)), is associative by coassociativity and associativity of multiplication, with unit u(ε⊗ε), where u(c)=c1H. The pairings P(a⊗b)=S(ab) and Q(a⊗b)=S(b)S(a) are bilinear and hence define linear maps by [F5]. The antipode equations applied to ab give (P∗m)(a⊗b)=ε(a)ε(b)1H=(m∗P)(a⊗b), where m(a⊗b)=ab. The same equations give (Q∗m)(a⊗b)=∑S(b(1))S(a(1))a(2)b(2)=ε(a)ε(b)1H and (m∗Q)(a⊗b)=∑a(1)b(1)S(b(2))S(a(2))=ε(a)ε(b)1H. Hence P and Q are both two-sided convolution inverses of m; in any associative unital algebra a two-sided inverse is unique, so S(ab)=S(b)S(a). Substituting 1H into either antipode identity gives S(1H)=1H.

2.1A1F1F3step 1.1

For h,g∈H, v∈V and f∈V∗, 1H⋅f=f by S(1H)=1H, and (h⋅(g⋅f))(v)=f(S(g)S(h)v)=f(S(hg)v)=((hg)⋅f)(v) by step 1.1. The action is linear in each variable from linearity of S, the module action on V, and [F3]. Thus the candidate formula is a unital left H-module action.

3.1A1F1F2step 2.1

For h∈H, f∈V∗ and v∈V, the tensor action and evaluation give ev⁡(h⋅(f⊗v))=∑(h(1)⋅f)(h(2)v)=∑f(S(h(1))h(2)v)=ε(h)f(v)=h⋅ev⁡(f⊗v) by the left antipode identity. Since step 2.1 makes V∗ a left H-module, the tensor action is defined; linearity extends this equality from pure tensors to all of V∗⊗V.

3.2A1F1F2F4step 2.1

Fix a finite basis (ei) of V and its dual basis (ei). Under the canonical isomorphism V⊗V∗→End⁡k(V), x⊗f↦[y↦f(y)x], the tensor h⋅coev⁡(1)=∑(h),ih(1)ei⊗(h(2)⋅ei) acts on v as ∑(h),iei(S(h(2))v)h(1)ei=∑(h)h(1)S(h(2))v=ε(h)v by the dual-basis identity and the right antipode identity. Therefore h⋅coev⁡(1)=ε(h)coev⁡(1)=coev⁡(h⋅1), so coevaluation is H-linear.

4.1F1F4step 3.1step 3.2

For v∈V, the first triangle composite sends v to ∑iei ei(v)=v. For f∈V∗, the second sends f to ∑if(ei)ei=f. These are the two identities in [F4], so the triangle identities hold as maps of vector spaces and hence as maps in H-Mod, since evaluation and coevaluation are H-linear by steps 3.1 and 3.2.

5.1F4step 4.1algebra∎

If V=0, its basis is empty, the coevaluation sum is 0, and both triangle identities are the identity of the zero space. If V is infinite-dimensional, every tensor ∑i=1rvi⊗fi∈V⊗V∗ corresponds to an endomorphism with image in span⁡(v1,…,vr); the identity on V has infinite-dimensional image, so it cannot be such a tensor. This explains why the finite-dimensional hypothesis is essential for the stated coevaluation. No choice principle is used: only a finite basis of the given finite-dimensional V is used.

Depends on

Used by

Cited to discharge well-definedness by The left dual of a finite-dimensional Hopf module.

Dependency tree · two levels

29 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