Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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Closed subspaces of reflexive spaces are reflexive

Statement

Assume HB. If X is a real or complex reflexive Banach space and Y⊆X is a closed linear subspace with the restricted norm, then Y is reflexive.

Facts & Assumptions

Given: HB, a real or complex reflexive Banach space X, and a closed linear subspace Y⊆X.

[F1]

Reflexivity is surjectivity of the canonical evaluation map (Reflexivity is surjectivity of the canonical map).

[F2]

For a subset M⊆X, M⊥ consists of the members of X∗ that vanish on M (Annihilator notation and the preannihilator).

[F3]

Under HB, a point outside a nonempty closed convex subset of a real or complex normed space is uniformly strictly separated from it by the real part of a bounded scalar-linear functional (Relative geometric Hahn–Banach with the exact open, closed, and compact hypotheses, part (ii)).

[F4]

A closed linear subspace of a Banach space is Banach with its restricted norm (A closed subspace of a Banach space is Banach).

[F5]

HB is the real dominated-extension principle over ZF (The real dominated-extension principle as an additional hypothesis over ZF).

[F6]

Under HB, every bounded scalar-linear functional on any linear subspace of a normed space has a norm-preserving extension to the ambient space (Relative norm-preserving Hahn–Banach extension over the real and complex fields).

Proof

technique · pull a bidual functional back along dual restriction, represent it in $X$, and prove that its representing vector lies in $Y$
1.1F1givenalgebra

Let R:X∗→Y∗ be restriction, R(f)=f∣Y. It is scalar-linear and bounded with ∥Rf∥≤∥f∥. Hence for a supplied y∗∗∈Y∗∗ the composite x∗∗=y∗∗∘R belongs to X∗∗. Since X is reflexive, [F1] supplies x∈X such that JXx=x∗∗, meaning f(x)=y∗∗(f∣Y) for every f∈X∗.

2.1F2step 1.1

If f∈Y⊥, then f∣Y=0, so step 1.1 gives f(x)=y∗∗(0)=0. Thus every functional annihilating Y also annihilates x.

3.1F2F3step 2.1discharge-contradiction

We claim x∈Y. This is immediate if Y=X. Otherwise suppose x∉Y; then Y is a nonempty closed convex set and [F3] supplies 0≠f∈X∗, a∈R, and ε>0 with Re⁡f(y)≤a−ε<a+ε≤Re⁡f(x) for every y∈Y. Since ty∈Y for every real t, the real-linear function Re⁡f can be bounded above on the line Ry only when Re⁡f(y)=0. In the complex case applying this also to iy∈Y gives Re⁡f(iy)=−Im⁡f(y)=0, so in either field f∣Y=0. Taking y=0 in the separation inequality gives 0≤a−ε and hence Re⁡f(x)≥a+ε≥2ε>0, contradicting step 2.1. Therefore x∈Y.

4.1F6step 1.1step 3.1

Let g∈Y∗ be arbitrary. By norm-preserving Hahn–Banach [F6], one functional f∈X∗ extends g; this also covers g=0 and Y={0}. Steps 1.1 and 3.1 then give y∗∗(g)=y∗∗(f∣Y)=f(x)=g(x)=(JYx)(g). Hence y∗∗=JYx.

5.1F1F4step 1.1step 4.1

The closed-subspace theorem [F4] makes Y a Banach space. Since the arbitrary y∗∗∈Y∗∗ of step 1.1 lies in the range of JY by step 4.1, that canonical map is surjective, and [F1] makes Y reflexive. If Y=0, its bidual and all maps above are zero and the same argument gives the singleton range directly.

6.1F3F5F6step 3.1step 4.1step 5.1∎

HB is used exactly twice: geometric separation in step 3.1 and the extension of one supplied g in step 4.1; [F5] records the principle being assumed. No compactness principle or simultaneous family choice occurs.

Remarks

Closedness of Y has two distinct jobs: it makes Y complete, and it permits separation of a hypothetical representing vector outside Y. No assertion is made for a nonclosed subspace.

Depends on

Used by

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Sources