Alphabeta Math
Pipeline-generated
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.

Complex Subspace Realification

1 · Prerequisites

2 · Summary

This page establishes the real normed-subspace and finite-basis consequences of restricting scalars on a complex normed subspace. The induced metric remains the restricted ambient metric, and a supplied finite complex basis gives the interleaved real basis, including the zero-dimensional case.

3 · Logical flowchart

4 · Definitions, theorems and proofs

LemmaStatement: AI-adaptedProof: AI-generatedjudge pass (gpt-6-luna)Open item page →

A complex normed subspace and its finite basis realify

Statement

Let (V,N) be a complex normed space and let W⊆V be a complex normed subspace with its restricted norm. Then WR is a real normed subspace of VR, and its norm metric is the restriction of the metric on VR to W×W. If an ordered complex basis (bj)j<n of W is supplied, the interleaved list b0,ib0,…,bn−1,ibn−1 is an ordered real basis of WR. The basis clause includes n=0.

Facts & Assumptions

Given: A complex normed space (V,N) and a complex normed subspace W⊆V. For the basis clause, an ordered complex basis (bj)j<n is supplied as a finite list; the statement does not assert that such a basis exists.

[F1]

A complex normed linear subspace defines W as a complex-linear subspace with the restricted norm NW=N∣W.

[F2]

Realification of a complex vector space by restriction of scalars keeps the underlying set and addition and restricts scalar multiplication to the canonical real embedding.

[F3]

Realification preserves a complex norm and its metric says the same norm makes a complex normed space real normed after realification, with the same underlying set, addition, norm values, and induced metric.

[F4]

Normed subspace equips a real linear subspace with the restricted ambient norm.

[F7]

C is the real coordinate plane, with coordinate arithmetic gives each complex number unique real coordinates a+bi and the coordinate arithmetic needed to expand a complex coefficient.

[F9]

A complex norm is real-valued, separates zero, satisfies N(λv)=∣λ∣CN(v) for every λ∈C, and satisfies the triangle inequality (Complex norm and complex normed space).

[F10]

Linear subspace of a vector space says a complex-linear subspace contains zero and is closed under addition and multiplication by every scalar in C.

[F11]

Normed subspace states that the induced metric on a normed subspace is the restriction of the ambient norm metric.

[F16]

In a vector space, addition is an abelian-group operation and scalar multiplication satisfies distributivity over vector addition and scalar addition, associativity of scalar multiplication, and the scalar identity law (Vector space over a field).

Proof

1.1givenF1F2F10algebra

The sets and additions underlying WR and VR are the original sets and additions by [F2]. By [F10], W contains zero and is closed under addition and every complex scalar; therefore it is closed under the restricted real scalar action as well, so WR is a real linear subspace of VR.

1.2F5F6F7F15F16F17algebra

If ∑j<n(ajbj+cj(ibj))=0 with aj,cj∈R, distributivity and scalar associativity [F16] give ∑j<n(aj+icj)bj=0. The supplied complex basis list is injective by [F6] and has independent image by [F5], so [F17] makes it linearly independent; [F15] then forces each aj+icj=0. Uniqueness of the coordinates in [F7] gives aj=cj=0. Thus the displayed real list is linearly independent.

2.1givenF1F3F4F9F10step 1.1algebra

By [F1], NW=N∣W. For w∈W, NW(w)=0 exactly when N(w)=0, hence exactly when w=0 by [F9]. For u,w∈W, closure under addition from [F10] and the ambient triangle inequality give NW(u+w)≤NW(u)+NW(w). For every λ∈C, λw∈W by [F10], and [F9] gives NW(λw)=∣λ∣CNW(w). Thus (W,NW) is a complex normed space, so [F3] applies to both V and W; with [F4], this makes WR a real normed subspace of VR.

2.2givenF1F6F7F12F13F14F16step 1.1algebra

Assume the supplied ordered complex basis exists. Its image spans W by [F6] and [F12], so [F14] gives, for any w∈W, complex coefficients zj with w=∑j<nzjbj, a finite linear combination in the sense of [F13]. Write each zj=aj+icj using [F7]. Distributivity and scalar associativity [F16] give w=∑j<n(ajbj+cj(ibj)), a real linear combination of the displayed list; conversely every such real combination lies in W because W is complex-linear. Hence the list spans WR.

3.1F2F3F11F16step 2.1algebra

For w,w′∈W, subtraction is unchanged by realification [F2, F16] and the norms are unchanged by [F3], so dWR(w,w′)=NW(w−w′)=NV(w−w′)=dVR(w,w′). By [F11], this is exactly the restriction of the ambient metric to W×W.

4.1F2F5F6F8F12F17step 2.2step 1.2algebra∎

If n=0, [F6] makes the supplied empty list an ordered basis and [F8] gives W={0}; the empty real list is a basis of the same realification by [F2] and [F8]. If n>0, steps 2.2 and 1.2 show the displayed list spans and is linearly independent. By [F17] it is injective with independent image, and step 2.2 gives that image's span as WR; [F5] and [F12] make the image a basis, so [F6] makes the list an ordered real basis.

Remarks

The finite basis is an input, not a choice from a family. The argument uses no choice axiom.

5 · Examples, counterexamples and false statements

None yet.

Sources