Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck passaudited 2026-08-29
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.

Complexification is initial for real-linear maps into complex vector spaces, and is unique up to unique isomorphism

Statement

Let V be a real vector space and let ι:V→VC be the canonical real-linear embedding of Complexification as C⊗RV with its canonical real-linear embedding. For every complex vector space W and every real-linear map f:V→W there is a unique complex-linear map F:VC→W with F∘ι=f, namely F(z⊗v)=z f(v).

Moreover, if U is a complex vector space and ι′:V→U is a real-linear map with the same property, then there is a unique complex-linear isomorphism u:VC→U with u∘ι=ι′.

Facts & Assumptions

Given: A real vector space V with canonical embedding ι:V→VC, and a real-linear map f:V→W into a complex vector space W.

[L1]

The complexification carries the scalar action z′⋅(z⊗v)=(z′z)⊗v and ιv=1⊗v (Complexification as C⊗RV with its canonical real-linear embedding).

[L2]

Every R-balanced map b:C×V→A extends uniquely to an R-linear map out of C⊗RV (Universal property of the tensor product for balanced maps into abelian groups).

[L3]

Two pairs representing the same class of balanced maps are related by a unique isomorphism commuting with the structure maps, obtained by applying each universal property to the other pair (Tensor products are unique up to a unique isomorphism carrying elementary tensors to elementary tensors).

Proof

technique · direct
1.1givenL2algebra

The map b:C×V→W given by b(z,v)=z f(v) is R-bilinear and R-balanced: additivity follows from the linearity of f in v and the distributivity of complex scalar multiplication, and b(zr,v)=(zr)f(v)=z(r f(v))=z f(rv)=b(z,rv) for r∈R.

1.2L1givenalgebra

Uniqueness of any extension: if G:VC→W is complex-linear with G∘ι=f, then G(z⊗v)=G(z⋅(1⊗v))=z G(1⊗v)=z f(v) on every elementary tensor by [L1], so its values are already determined, and elementary tensors generate VC.

2.1step 1.1L2

By [L2] there is a unique R-linear map F:VC→W with F(z⊗v)=z f(v).

3.1step 2.1L1algebra

The map F is complex-linear: by the scalar action of [L1], F(z′⋅(z⊗v))=F((z′z)⊗v)=(z′z)f(v)=z′(z f(v))=z′F(z⊗v), and additivity extends the identity to all of VC.

3.2step 2.1L1

The map F satisfies F∘ι=f because F(ιv)=F(1⊗v)=f(v) by [L1].

3.3step 1.2step 2.1

Uniqueness: steps 1.2 and 2.1 show that any complex-linear extension G with G∘ι=f agrees with F on every elementary tensor, hence everywhere, so G=F.

4.1step 3.3L3

For the uniqueness up to unique isomorphism, apply the universal property of (VC,ι) to ι′ to get a unique complex-linear u:VC→U with u∘ι=ι′, and the universal property of (U,ι′) to ι to get v:U→VC with v∘ι′=ι. Both v∘u and id⁡ carry ι to itself, and both u∘v and id⁡ carry ι′ to itself, so step 3.3 forces both composites to be identities; this is the two-application argument recorded in [L3].

5.1step 3.1step 3.2step 3.3step 4.1∎

Steps 3.1 and 3.2 prove the universal property, step 3.3 its uniqueness clause, and step 4.1 the uniqueness of the representing pair up to unique isomorphism.

Depends on

Used by

Dependency tree · two levels

12 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