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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedaudited 2026-09-22
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The unbounded PVM integral is densely defined, closed and normal

Statement

Assume Countable Choice. Let E be a projection valued measure on (X,Σ) on the complex Hilbert space H and let f:X→C be Σ-measurable. Then the operator f(E) of Integral of a measurable function against a projection-valued measure is densely defined and closed, and it is normal, in the sense D(f(E))=D(f(E)∗) and equal norms for the operator and its adjoint; in particular D(f(E))=D(f‾(E)) and ∥f(E)x∥=∥f‾(E)x∥ for all such x. Moreover ∥f(E)x∥2=∫∣f∣2 dEx,⟨x,f(E)x⟩=∫f‾ dEx(x∈D(f(E))), and (f(E))∗=f‾(E); in particular f(E) is self-adjoint whenever f takes real values. Finally, if (gn) are bounded Σ-measurable functions with ∣gn∣≤C∣f∣ pointwise and gn→f pointwise, then gn(E)x→f(E)x for every x∈D(f(E)).

Facts & Assumptions

[A1]

D(f(E))={x:∫∣f∣2dEx<∞} is a linear subspace, f(E)x=lim⁡nfn(E)x with fn=f1{∣f∣≤n}, and the limit is linear in x; here and below ΦE(h)=h(E) for bounded Σ-measurable h (Integral of a measurable function against a projection-valued measure).

[A2]

For H≠{0} and bounded Σ-measurable h: ∥h(E)x∥2=∫∣h∣2dEx, ⟨h(E)x,y⟩=∫h dEx,y, h(E)∗=h‾(E), products of bounded Σ-measurable functions multiply as ΦE(h1h2)=ΦE(h1)ΦE(h2), and ΦE is linear (Bounded borel pvm integral, Pvm integral is a star homomorphism, Scalar and complex measures from a pvm).

[A3]

Dominated convergence on the finite measure Ex: if un→u pointwise and ∣un∣≤G with ∫G dEx<∞, then ∫∣un−u∣ dEx→0. In particular, if hn→h and ∣hn−h∣2≤G with integrable G, then ∫∣hn−h∣2 dEx→0 by applying the theorem to the squared differences (Dominated convergence, Scalar and complex measures from a pvm).

[A4]

Scalar monotone convergence: for nonnegative measurable un↑u the integrals ∫un dEx increase to ∫u dEx (Monotone convergence for the integral).

[A5]

The adjoint of a densely defined operator is closed, and D(T∗) consists of those y for which z↦⟨Tz,y⟩ is bounded, with T∗y the representing vector (Adjoint of a densely defined operator, The adjoint is well defined, closed, and reverses inclusions).

[A6]

Projection values satisfy E(B)2=E(B)=E(B)∗, E(B∩C)=E(B)E(C), E(X)=I and ∥E(B)x∥≤∥x∥ (Projection valued measure). Closedness means the graph is closed, and density means the domain is dense (Densely defined, closed and closable operators, and cores).

Proof

technique · direct

Given: A PVM E and a Σ-measurable function f as in the statement.

1.1A1A5A6

If H={0}, [A1] defines all integrals on H as the unique zero-space operator. Its domain is all H, its graph is the whole H⊕H, its adjoint is itself by the representing identity, and every scalar integral and norm in the statement is zero. All approximation vectors are zero. This proves every assertion in that case; henceforth assume H≠{0}, as required by [A2].

1.2A1A2A3A4

For any measurable f and x∈D(f(E)), norm convergence of the defining truncations and monotone convergence give ∥f(E)x∥2=lim⁡m∫∣fm∣2 dEx=∫∣f∣2 dEx. Also ∣f∣≤1+∣f∣2 is integrable against the finite measure Ex. Thus dominated convergence in the bounded quadratic pairings gives ⟨x,f(E)x⟩=lim⁡m∫fm‾ dEx=∫f‾ dEx, with the conjugate required by the first-variable-linear inner product.

1.3A1A2A3

Fix a bounded measurable g and x∈D(f(E)). For each m, bounded linearity and the quadratic identity give ∥g(E)x−fm(E)x∥2=∫∣g−fm∣2 dEx. Let m→∞; the left side converges by [A1], while the right side converges by [A3], since ∣g−fm∣2≤2∥g∥∞2+2∣f∣2, an integrable majorant. Consequently ∥g(E)x−f(E)x∥2=∫∣g−f∣2 dEx. For the sequence gn in the statement, choose its bound C≥0; the majorant (C+1)2∣f∣2 and [A3] now imply the claimed convergence. This argument applies to any measurable target function in place of f.

2.1A1A2A6step 1.3

If h is bounded measurable, [A2] and [A6] give E(B)h(E)=(1Bh)(E)=h(E)E(B), and hence Eh(E)x(B)=∥(1Bh)(E)x∥2=∫B∣h∣2 dEx. Thus dEh(E)x=∣h∣2dEx for all x∈H. For x∈D(f(E)) this implies h(E)x∈D(f(E)), and also x∈D((hf)(E)), by the bound ∣hf∣2≤∥h∥∞2∣f∣2. Bounded multiplication gives fm(E)h(E)x=h(E)fm(E)x=(hfm)(E)x. The first two limits follow from [A1] and bounded continuity; the last tends to (hf)(E)x by step 1.3 applied to the target hf, because ∣hfm∣≤∣hf∣. Therefore f(E)h(E)x=h(E)f(E)x=(hf)(E)x on D(f(E)).

3.1A1A2A3A6step 2.1

Put Ωn={∣f∣≤n} for n≥1. For every x∈H, step 2.1 gives dEE(Ωn)x=1ΩndEx, so E(Ωn)x∈D(f(E)). Moreover ∥x−E(Ωn)x∥2=∫1X∖Ωn dEx→0 by [A2], [A6] and dominated convergence, since f is finite-valued. Hence the domain is dense. For every w∈H, the defining truncations on E(Ωn)w are constant for m≥n: fm(E)E(Ωn)w=fn(E)w. Therefore f(E)E(Ωn)w=fn(E)w.

4.1A1A2A5step 3.1

The domains of f(E) and f‾(E) coincide because their defining squared moduli agree. For x,y in this domain, bounded adjoints and the defining limits yield ⟨f(E)y,x⟩=lim⁡m⟨fm(E)y,x⟩=lim⁡m⟨y,fm‾(E)x⟩=⟨y,f‾(E)x⟩. Since density is established in step 3.1, [A5] gives f‾(E)⊆f(E)∗.

5.1A1A2A4A5A6step 3.1step 4.1

Conversely let y∈D(f(E)∗) and z=f(E)∗y. For every w∈H, step 3.1 and the adjoint identity give ⟨fn‾(E)y,w⟩=⟨y,fn(E)w⟩=⟨y,f(E)E(Ωn)w⟩=⟨z,E(Ωn)w⟩=⟨E(Ωn)z,w⟩. Thus fn‾(E)y=E(Ωn)z. By [A2], [A4] and the projection bound, ∫∣f∣2 dEy=lim⁡n∥fn‾(E)y∥2≤∥z∥2<∞. Hence y∈D(f(E)), and step 4.1 proves f(E)∗=f‾(E) with equal domains.

6.1A5step 1.2step 1.3step 3.1step 5.1∎

Apply step 5.1 to the measurable function f‾, whose integral has dense domain by step 3.1. It gives (f‾(E))∗=f(E), so [A5] proves f(E) closed directly. Step 1.2 and ∣f∣=∣f‾∣ give equal norms for f(E) and its adjoint on their common domain, establishing normality. If f is real-valued, step 5.1 gives f(E)∗=f(E). Together with steps 1.2, 1.3 and 3.1 this proves every assertion.

Depends on

Dependency tree · 2 levels

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