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.
Tensor products of modules over a bialgebra without an antipode
Example
Let over a field , with
extended linearly by and . This is a bialgebra but not a Hopf algebra. The one-dimensional modules on which acts by zero have a tensor product module with the diagonal action; hence the tensor product construction does not require an antipode.
The statement that this bialgebra has no antipode means no antipode exists for the specified coproduct and counit. It does not say that no module structure can ever be put on an underlying dual vector space; in this example the module has a one-dimensional dual with acting by zero.
Facts & Assumptions
Given: A field , the polynomial ring with coefficientwise addition and convolution multiplication, the displayed maps , and the modules where acts by zero.
The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution: consists of finite coefficient sums , with convolution multiplication and unit the constant polynomial .
Polynomial convolution makes a commutative ring containing as its constant subring: these operations make a unital commutative ring.
The module category of a bialgebra and its tensor action: for modules , is the proposed tensor action.
Bialgebra module tensor actions and their coherence: when is a bialgebra, that formula makes a left -module.
Field: a field satisfies .
Linear functionals and the algebraic dual : is the vector space of all linear functionals .
Verification
Given: The data and conventions in Facts & Assumptions.
The maps and are well-defined linear maps because every polynomial has a finite coefficient expansion [F1]. On monomials, and ; the formulas also preserve . Bilinearity extends multiplicativity to all polynomials.
If an antipode existed, its left convolution identity at would give . Every polynomial multiplied by has constant coefficient zero, while has nonzero constant coefficient by [F5]. This is impossible, so the bialgebra is not Hopf.
For each monomial , and . Since monomials span , these identities hold for all polynomials; together with step 1.1 they prove that is a bialgebra.
The actions make unital left -modules because evaluation at zero is a unital algebra map. On , acts by , hence by . The theorem [F4] makes the diagonal formula a module action on all of ; it uses only the bialgebra structure proved in steps 1.1 and 2.1.
Thus the tensor module exists without an antipode. To check the example's claim about the underlying dual vector space, take and , which spans by [F6]. Define . For and , the constant coefficient of is , and ; hence this is a unital -module action. It is not a left-dual object in : acts by zero on under the diagonal action, so evaluation sends to , while . Since by [F5], evaluation is not -linear.
Depends on
- The module category of a bialgebra and its tensor action
- Bialgebra module tensor actions and their coherence
- The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution
- Polynomial convolution makes $R[x]$ a commutative ring containing $R$ as its constant subring
- Field
- Linear functionals and the algebraic dual $V^*=\mathcal L(V,F)$
Used by
Nothing in the library uses this result yet.
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