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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:XC 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)x2=f2dEx,x,f(E)x=fdEx(xD(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 gnCf pointwise and gnf pointwise, then gn(E)xf(E)x for every xD(f(E)).

Facts & Assumptions

[A1]

D(f(E))={x:f2dEx<} is a linear subspace, f(E)x=limnfn(E)x with fn=f1{fn}, 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)x2=h2dEx, h(E)x,y=hdEx,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 unu pointwise and unG with GdEx<, then unudEx0. In particular, if hnh and hnh2G with integrable G, then hnh2dEx0 by applying the theorem to the squared differences (Dominated convergence, Scalar and complex measures from a pvm).

[A4]

Scalar monotone convergence: for nonnegative measurable unu the integrals undEx increase to udEx (Monotone convergence for the integral).

[A5]

The adjoint of a densely defined operator is closed, and D(T) consists of those y for which zTz,y is bounded, with Ty 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(BC)=E(B)E(C), E(X)=I and E(B)xx (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.

1.1

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 HH, 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].

A1A5A6
1.2

For any measurable f and xD(f(E)), norm convergence of the defining truncations and monotone convergence give f(E)x2=limmfm2dEx=f2dEx. Also f1+f2 is integrable against the finite measure Ex. Thus dominated convergence in the bounded quadratic pairings gives x,f(E)x=limmfmdEx=fdEx, with the conjugate required by the first-variable-linear inner product.

A1A2A3A4
1.3

Fix a bounded measurable g and xD(f(E)). For each m, bounded linearity and the quadratic identity give g(E)xfm(E)x2=gfm2dEx. Let m; the left side converges by [A1], while the right side converges by [A3], since gfm22g2+2f2, an integrable majorant. Consequently g(E)xf(E)x2=gf2dEx. For the sequence gn in the statement, choose its bound C0; the majorant (C+1)2f2 and [A3] now imply the claimed convergence. This argument applies to any measurable target function in place of f.

A1A2A3
2.1

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)x2=Bh2dEx. Thus dEh(E)x=h2dEx for all xH. For xD(f(E)) this implies h(E)xD(f(E)), and also xD((hf)(E)), by the bound hf2h2f2. 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 hfmhf. Therefore f(E)h(E)x=h(E)f(E)x=(hf)(E)x on D(f(E)).

A1A2A6step 1.3
3.1

Put Ωn={fn} for n1. For every xH, step 2.1 gives dEE(Ωn)x=1ΩndEx, so E(Ωn)xD(f(E)). Moreover xE(Ωn)x2=1XΩndEx0 by [A2], [A6] and dominated convergence, since f is finite-valued. Hence the domain is dense. For every wH, the defining truncations on E(Ωn)w are constant for mn: fm(E)E(Ωn)w=fn(E)w. Therefore f(E)E(Ωn)w=fn(E)w.

A1A2A3A6step 2.1
4.1

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=limmfm(E)y,x=limmy,fm(E)x=y,f(E)x. Since density is established in step 3.1, [A5] gives f(E)f(E).

A1A2A5step 3.1
5.1

Conversely let yD(f(E)) and z=f(E)y. For every wH, 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, f2dEy=limnfn(E)y2z2<. Hence yD(f(E)), and step 4.1 proves f(E)=f(E) with equal domains.

A1A2A4A5A6step 3.1step 4.1
6.1

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.

A5step 1.2step 1.3step 3.1step 5.1

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