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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 YX 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 YX.

[F1]

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

[F2]

For a subset MX, 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 $Y$
1.1

Let R:XY be restriction, R(f)=fY. It is scalar-linear and bounded with Rff. Hence for a supplied yY the composite x=yR belongs to X. Since X is reflexive, [F1] supplies xX such that JXx=x, meaning f(x)=y(fY) for every fX.

F1givenalgebra
2.1

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

F2step 1.1
3.1

We claim xY. This is immediate if Y=X. Otherwise suppose xY; then Y is a nonempty closed convex set and [F3] supplies 0fX, aR, and ε>0 with Ref(y)aε<a+εRef(x) for every yY. Since tyY for every real t, the real-linear function Ref can be bounded above on the line Ry only when Ref(y)=0. In the complex case applying this also to iyY gives Ref(iy)=Imf(y)=0, so in either field fY=0. Taking y=0 in the separation inequality gives 0aε and hence Ref(x)a+ε2ε>0, contradicting step 2.1. Therefore xY.

F2F3step 2.1discharge-contradiction
4.1

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

F6step 1.1step 3.1
5.1

The closed-subspace theorem [F4] makes Y a Banach space. Since the arbitrary yY 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.

F1F4step 1.1step 4.1
6.1

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.

F3F5F6step 3.1step 4.1step 5.1

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