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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedverified 2026-10-22 (gpt-6.1-sol)
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Conjugate Hilbert space and adjoint of an antilinear operator

Definition

Assume Countable Choice. All inner products are linear in their first argument. If H is a complex Hilbert space, its conjugate Hilbert space H‾ consists of symbols x‾ for x∈H, with x‾+y‾=x+y‾, a x‾=a‾ x‾ for a∈C, and ⟨x‾,y‾⟩H‾:=⟨x,y⟩H‾. The canonical map cH:H→H‾, cHx=x‾, is a conjugate-linear surjective isometry.

For complex Hilbert spaces H1,H2, a linear operator A is a linear map A:D(A)→H2 on a linear domain D(A)⊆H1. Its graph is Γ(A)={(x,Ax):x∈D(A)}⊆H1⊕H2, with the direct-sum Hilbert norm. It is densely defined when D(A) is dense in H1, and closed when Γ(A) is closed.

For a densely defined linear operator A:D(A)⊆H1→H2, define D(A∗) to consist of those y∈H2 for which x↦⟨Ax,y⟩H2 is bounded on D(A) in the H1 norm. The bounded functional extends uniquely to H1; its Riesz vector A∗y∈H1 is specified by ⟨Ax,y⟩H2=⟨x,A∗y⟩H1(x∈D(A)). This defines the linear adjoint A∗:D(A∗)⊆H2→H1.

An operator S:D(S)⊆H→H is antilinear when S(ax+by)=a‾ Sx+b‾ Sy. Its associated linear operator S~:D(S~)⊆H‾→H is D(S~)=cH(D(S)) and S~(x‾)=Sx. For densely defined antilinear S, define S∗:=cH−1S~∗, on the domain D(S∗)=D(S~∗). Thus S∗ is antilinear and ⟨Sx,y⟩H=⟨S∗y,x⟩H(x∈D(S), y∈D(S∗)).

Remarks

The direct-sum inner product is ⟨(x,u),(y,v)⟩=⟨x,y⟩H1+⟨u,v⟩H2. It is complete because each summand is complete. The scalar and inner-product rules above make H‾ an inner-product space, and cH preserves norms and is onto; consequently H‾ is complete as well.

For fixed y∈H2, the map x↦⟨Ax,y⟩H2 is linear. Riesz representation on H1 therefore gives the unique adjoint vector whenever this map is bounded. Linearity and uniqueness show that D(A∗) is a linear subspace and A∗ is linear. For the antilinear convention, write S~∗y=z‾. Then ⟨Sx,y⟩H=⟨cHx,S~∗y⟩H‾=⟨x,z⟩H‾=⟨z,x⟩H, so the displayed formula gives S∗y=z. The definition makes no claim that S is closable or that either adjoint domain is dense.

Facts & Assumptions

Given: Countable Choice, complex Hilbert spaces, a densely defined linear operator A, and a densely defined antilinear operator S.

[F1]

The inner product is linear in its first argument and conjugate-linear in its second; conjugating both scalar coefficients defines the complex conjugate vector space (Real and complex inner-product spaces and their induced length).

[F2]

Each bounded linear functional on a Hilbert space has a unique Riesz representing vector (Riesz representation for Hilbert spaces).

[F3]

Countable Choice is the explicit standing choice assumption (The Axiom of Countable Choice (ACω)).

Proof

technique · direct

Given: [F1]–[F3], the spaces and operators in the Definition.

1.1F1algebra

The scalar rules for H‾ follow from conjugation in the underlying scalar multiplication, and ⟨cHx,cHy⟩H‾=⟨x,y⟩H‾. Thus cH preserves norms and is onto. A Cauchy sequence in H‾ pulls back under cH to a Cauchy sequence in H, whose limit maps forward; so H‾ is complete.

1.2F1F2F3given

For fixed y∈H2, the map x↦⟨Ax,y⟩ is linear. If it is bounded on the dense domain, continuity extends it uniquely to H1, and [F2] gives a unique A∗y with the displayed adjoint identity. Uniqueness and linearity of the form in y show that D(A∗) is a linear subspace and A∗ is linear there.

2.1F1F2step 1.1algebra∎

The domain cH(D(S)) is a complex linear subspace because D(S) is linear and cH is conjugate-linear. Additivity of S makes S~ additive, and for a∈C, S~(ax‾)=S~(a‾x‾)=S(a‾x)=aSx, so S~ is linear. Since cH−1 is conjugate-linear and S~∗ is linear, S∗ is antilinear on its declared domain. If y∈D(S~∗) and S~∗y=cHz, then ⟨Sx,y⟩H=⟨cHx,S~∗y⟩H‾=⟨x,z⟩H‾=⟨z,x⟩H=⟨cH−1S~∗y,x⟩H. This proves the stated antilinear-adjoint identity with its exact domain.

Depends on

Dependency tree · 2 levels

Sources