Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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  • 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.
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The complex line through (1,i) has a two-vector real basis

Example

Equip V=C2 with coordinatewise operations and the norm N(z1,z2)=∣z1∣+∣z2∣. Let b=(1,i) and W={λb:λ∈C} with the restricted complex norm. Then WR is a real normed subspace of VR with the restricted norm metric, and the ordered real basis list is (b,ib)=((1,i),(i,−1)).

Facts & Assumptions

Given: V=C2, N(z1,z2)=∣z1∣+∣z2∣, b=(1,i), and W={λb:λ∈C}.

[F1]

A complex norm is real-valued, separates zero, is homogeneous for every complex scalar, and satisfies the triangle inequality (Complex norm and complex normed space).

[F2]

The complex coordinate sum norm, including the zero space proves that the coordinate sum of complex moduli is a complex norm on Cn, including n=0.

[F3]

A complex normed linear subspace makes a complex-linear subspace carry the restricted complex norm.

[F4]

A complex normed subspace and its finite basis realify states that such a subspace realifies to a real normed subspace with the identical restricted norm metric.

[F5]

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.

[F6]

C is the real coordinate plane, with coordinate arithmetic gives unique coordinates a+bi and the complex coordinate arithmetic.

[F7]

Linear subspace of a vector space tests a linear subspace by zero containment and closure under addition and scalar multiplication.

[F8]

Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis defines a basis by linear independence and spanning, and an ordered basis as a finite injective list with basis image.

[F10]

Linear combination of a finite list, and the span span⁡(S) as the smallest linear subspace containing S defines a linear combination of elements of a set as a finite sum of scalar multiples of elements of that set.

[F12]

In a vector space, scalar multiplication distributes over vector and scalar addition and associates with scalar multiplication (Vector space over a field).

[F14]

On C2, addition and scalar multiplication are pointwise (The complex coordinate sum norm, including the zero space).

Verification

1.1givenF1F2F3F7F12F15algebra

The coordinate sum norm on V is a complex norm by [F2] and [F1]. The set W contains zero because 0Cb=0V by [F15]. The vector-space laws [F12] give λb+μb=(λ+μ)b and α(λb)=(αλ)b, so W is closed under addition and complex scalar multiplication; [F7] makes it a complex-linear subspace. The restricted norm inherits separation, full complex homogeneity, and the triangle inequality, so it gives the complex normed subspace in [F3].

1.2F6F9F14algebra

If r(1,i)+s(i,−1)=(0,0) for r,s∈R, the pointwise coordinate operations of [F14] give first coordinate r+is=0. Uniqueness of the real and imaginary coordinates in [F6] implies r=s=0, so the list is linearly independent by [F9].

2.1givenF4step 1.1

Applying [F4] to this complex normed subspace gives the real normed subspace WR⊆VR and the identical restricted norm metric.

2.2givenF5F6F10F11F12F14step 1.1algebra

For λ=a+ic, [F6] gives λb=(a+ic,i(a+ic))=(a+ic,−c+ia)=a(1,i)+c(i,−1) using coordinatewise scalar multiplication [F14] and the vector-space laws [F12]. Thus every element of WR is a real linear combination of the displayed list. Conversely, b∈W by taking λ=1 and ib∈W by taking λ=i; since W is a complex-linear subspace by step 1.1 and real scalars act through the canonical embedding [F5], every real linear combination of b and ib belongs to WR. The two inclusions and [F10]–[F11] show that the list spans WR.

3.1F8F13step 2.2step 1.2algebra∎

By steps 2.2 and 1.2 the list is spanning and linearly independent. By [F13] it is injective with linearly independent image, and step 2.2 says that image spans; hence [F8] makes it an ordered real basis.

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