Alphabeta Math
CorollaryStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
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Hilbert spaces are reflexive

Statement

Assume the Axiom of Countable Choice. Every real or complex Hilbert space H is reflexive: the canonical evaluation map JH:H→H∗∗ is surjective.

Facts & Assumptions

[A1]

Riesz representation: for every bounded linear functional f on H there is a unique y∈H with f(x)=⟨x,y⟩ for all x, and ∥f∥=∥y∥; writing R(y):=⟨ ⋅ ,y⟩ defines a bijection R:H→H∗ that is conjugate-linear, and linear in the real case (Riesz representation for Hilbert spaces, The dual space X^* of a normed space and its dual norm).

[A2]

The canonical map is (JHx)(f)=f(x) and does not depend on choices (The canonical evaluation map into the bidual).

[A3]

H is reflexive exactly when JH is surjective (Reflexivity is surjectivity of the canonical map).

[A4]

The pairing is conjugate-linear in the second argument, so ⟨z,y⟩=⟨y,z⟩‾ (Real and complex inner-product spaces and their induced length).

[A5]

Countable Choice is the hypothesis of the Riesz representation theorem used below (The Axiom of Countable Choice (ACω)).

Proof

technique · direct

Given: Countable Choice, a real or complex Hilbert space H, its dual H∗, bidual H∗∗ and canonical map JH.

1.1A1A5

By [A1] the Riesz map R:H→H∗ is a bijection with R(y)(x)=⟨x,y⟩ and ∥R(y)∥=∥y∥.

2.1step 1.1A1

Let Φ∈H∗∗ and define ψ(y)=Φ(R(y)); since R is conjugate-linear and Φ is linear, ψ(ay)=a‾ψ(y) and ψ(y+y′)=ψ(y)+ψ(y′), while ∣ψ(y)∣≤∥Φ∥ ∥R(y)∥=∥Φ∥ ∥y∥; hence φ:=ψ‾ is a linear functional on H with ∣φ(y)∣≤∥Φ∥ ∥y∥.

3.1step 2.1A1

Applying Riesz representation to φ gives z∈H with φ(y)=⟨y,z⟩ for every y.

4.1step 3.1A1A2A4

Then for every y one has Φ(R(y))=φ(y)‾=⟨y,z⟩‾=⟨z,y⟩=R(y)(z)=JH(z)(R(y)) by [A4] and [A2]; since R is onto H∗, every element of H∗ has the form R(y), so Φ=JH(z) lies in the range of JH.

5.1step 1.1step 4.1A3A5∎

Thus JH is surjective and H is reflexive; the only choice assumption is the one inherited from Riesz representation in step 1.1.

Depends on

Used by

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Sources