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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-22
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Kernel–range orthogonality for Hilbert adjoints

Statement

Assume the Axiom of Countable Choice. Let T∈B(H,K) be a bounded linear operator between real or complex Hilbert spaces, with kernel ker⁡T={x:Tx=0}, range ran⁡T=T[H] and Hilbert adjoint T∗∈B(K,H). Then

(ran⁡T)⊥=ker⁡T∗,(ran⁡T∗)⊥=ker⁡T,

and consequently

ran⁡T‾=(ker⁡T∗)⊥,ran⁡T∗‾=(ker⁡T)⊥.

Facts & Assumptions

[A1]

⟨Tx,y⟩K=⟨x,T∗y⟩H for all x∈H, y∈K, and the adjoint is a bounded linear operator (The Hilbert-space adjoint of a bounded operator, A bounded linear operator between normed spaces).

[A2]

T∗∗=T (Hilbert-adjoint identities).

[A3]

S⊥={v:⟨v,s⟩=0 ∀s∈S}; if ⟨v,w⟩=0 for every w then v=0, and S⊥⊥=S‾ for every linear subspace S (Orthogonality and the orthogonal complement, Real and complex inner-product spaces and their induced length, The double orthogonal complement of a subspace is its closure).

[A4]

The image of a linear map is a linear subspace, and the kernel of a linear map is a linear subspace (Linear subspace of a vector space).

[A5]

Countable Choice is the hypothesis under which adjoints and double complements are available (The Axiom of Countable Choice (ACω)).

Proof

technique · direct

Given: Countable Choice, Hilbert spaces H,K and a bounded linear operator T:H→K.

1.1A1A3A5

For y∈K, one has y∈(ran⁡T)⊥ exactly when ⟨Tx,y⟩K=0 for every x, which by the adjoint identity is exactly when ⟨x,T∗y⟩H=0 for every x; taking x=T∗y shows this happens exactly when T∗y=0, that is y∈ker⁡T∗.

2.1step 1.1A2

Replacing T by T∗ in step 1.1 and using T∗∗=T gives (ran⁡T∗)⊥=ker⁡T.

3.1step 1.1step 2.1A3A4∎

The range of a linear map is a linear subspace, so the double-complement theorem applies to it: ran⁡T‾=(ran⁡T)⊥⊥=((ran⁡T)⊥)⊥=(ker⁡T∗)⊥, and likewise ran⁡T∗‾=(ker⁡T)⊥.

Depends on

Dependency tree · 2 levels

Sources