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Diagonal multiplication is self-adjoint

Statement

Assume Countable Choice, as required by the adjoint definition Adjoint of a densely defined operator. For the diagonal model Diagonal self-adjoint operator model, the operator HE is densely defined and self-adjoint on ℓ2(I).

Facts & Assumptions

Given: As stated in the item.

[F1]

Diagonal self-adjoint operator model: HE has domain {x:∑i∣Eixi∣2<∞} and acts coordinatewise by multiplication by the real numbers Ei.

[F2]

Adjoint of a densely defined operator: the adjoint domain consists of those y for which x↦⟨HEx,y⟩ on D(HE) is represented by inner product with a vector of ℓ2(I).

[F3]

Square-summable families on an arbitrary index set and the space ℓ2(I) and Real and complex inner-product spaces and their induced length: square summability is the finite-subset sum condition, and the inner product is linear in the first argument.

[F5]

Completeness and linear domain of the diagonal sequence model: the coefficient inner-product space is Hilbert and the displayed diagonal domain is a dense linear subspace with a linear action.

[A2]

Countable Choice is assumed, as in the definition of the Hilbert-space adjoint.

Proof

Given: The diagonal operator of Diagonal self-adjoint operator model with real entries Ei.

1.1F1F3F4F5

By [F5] the ambient space is Hilbert and the operator domain and action are linear. Every finitely supported sequence belongs to D(HE). For x∈ℓ2(I), the tails of its square-sum can be made arbitrarily small, so finite-coordinate truncations converge in norm to x; finite-support vectors are therefore dense in ℓ2(I).

1.2F1F3

For x,y∈D(HE), Cauchy–Schwarz [F4] makes ∑i∣Eixiyi‾∣ finite, and reality of Ei gives ⟨HEx,y⟩=∑iEixiyi‾=⟨x,HEy⟩. Thus HE is symmetric.

2.1F1F2F5A2step 1.2∎

If y∈D(HE∗), there is z∈ℓ2(I) such that ⟨HEx,y⟩=⟨x,z⟩ for every x∈D(HE). Taking x=ui gives Eiyi‾=zi‾, hence zi=Eiyi for every i; since z∈ℓ2(I), y∈D(HE) and HE∗y=HEy. Conversely symmetry in step 1.2 shows every y∈D(HE) is in D(HE∗) with that value. Therefore D(HE∗)=D(HE) and HE∗=HE.

Depends on

Dependency tree · 2 levels

Sources