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Spectral Measures and Borel Functional Calculus — Examples

1 · Prerequisites

2 · Summary

The companion computes the spectral measure in the two basic models and exhibits the three boundary phenomena the main page must not gloss over.

The diagonal operator Tei=λiei on 2(I) has spectrum the closure of its eigenvalue family, spectral projections acting by the pulled-back indicators 1B(λi) on the coordinates, and Borel calculus acting by f(λi); the construction checks boundedness, normality, strong additivity and the uniqueness clause of the spectral theorem. The multiplication operator Mm on L2 of a sigma-finite measure space has spectrum the essential range of m, spectral projections E(B)=M1m1(B) and calculus f(Mm)=Mfm, computed from the reciprocal criterion off the essential range and from finite-measure subsets of the inverse images of small discs on it. At an isolated spectral point λ the spectral projection is computed as the Riesz projection along a positively oriented circle separating λ from the rest of the spectrum: the resolvent is a Borel-calculus value, Bochner commutation pulls the contour integral inside the calculus, and the scalar Cauchy formula turns the kernel into the indicator of the enclosed disc, so E({λ}) equals (2πi)1(zIT)1dz in the repository's resolvent convention. Finally, for a bounded self-adjoint T the sign and positive-negative parts T, T+, T, sgn(T) are evaluated from the scalar identities of the calculus: T=T+T, T=T++T, T+T=0, T±=12(T±T), sgn(T)2=IE({0}) is the projection onto (kerT), and T agrees with the earlier positive square root (TT)1/2.

The counterexamples mark the limits of the theory. On L2([0,1]) the characteristic function of [0,1/2] is discontinuous but still a permitted Borel-calculus input, and it produces the orthogonal projection onto the classes supported in [0,1/2], with kernel the classes supported in (1/2,1]. Exactly that projection cannot be produced by the continuous calculus: a continuous f with f(Mx)=E([0,1/2]) would have to be 1 on [0,1/2] and 0 on (1/2,1], forcing f(1/2)=1 and f(1/2)=0. And the same operator shows that normality does not produce eigenvectors: a nonzero solution of xh=μh in L2 would vanish almost everywhere off the single point μ, hence be the zero class, so Mx has spectrum [0,1] and no eigenvectors at all. The closing remark fixes the boundary of the page: the standard separable direct-integral model and its multiplicity classification are proved on the main page, while general measurable fields and nonseparable multiplicity theory are orientation only and are not suppliers.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-adaptedVerification: AI-adaptedaudited 2026-09-22Open item page →

Pvm of a diagonal normal operator

Example

Assume AC. Let I be a nonempty set, let (λi)iI be a bounded family of complex numbers with M:=supiλi<, and let T:2(I;C)2(I;C),(Tx)i:=λixi, be the associated diagonal operator. Then T is a bounded normal operator with σ(T)={λi:iI}, its spectral projection valued measure E on the Borel σ-algebra of σ(T) is E(B)x=(1B(λi)xi)iI, and the bounded Borel functional calculus is f(T)x=(f(λi)xi)iI for every bounded Borel f on σ(T).

Facts & Assumptions

[A1]

2(I;C) is the space of square-summable families with inner product x,y=ixiyi; the vectors ei form an orthonormal family with x,ei=xi for square-summable x, and completeness will be proved directly below using coordinate completeness of C (The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts) (Square-summable families on an arbitrary index set and the space 2(I), Orthonormal families, complete orthonormal systems and Hilbert bases, Hilbert space).

[A2]

zρ(T) exactly when zIT is bijective with bounded inverse; a bounded operator that is not bounded below is not bijective with bounded inverse (Spectrum and resolvent of a bounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[A3]

For a bounded normal operator on a nonzero complex Hilbert space, the spectrum is nonempty compact and the spectral PVM E is the unique regular PVM on σ(T) with zdE=T, and for bounded Borel f one has f(T)x,y=fdEx,y with Ex,y(B)=E(B)x,y (Spectral theorem for bounded normal operators pvm form, Bounded borel pvm integral, Borel functional calculus for a bounded normal operator).

[A4]

Normal means TT=TT (Self-adjoint, positive, unitary and normal operators). The adjoint is characterized by Tx,y=x,Ty (The Hilbert-space adjoint of a bounded operator). The PVM and scalar regularity conditions are those of Projection valued measure.

[A5]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Verification

technique · direct

Given: A bounded family (λi)iI with M=supiλi<, the diagonal operator Tx=(λixi) on 2(I;C), and the map E(B)x:=(1B(λi)xi) for Borel Bσ(T).

1.1

The space 2(I;C) is complete. If (x(n)) is Cauchy in its norm, each coordinate is Cauchy since xi(n)xi(m)x(n)x(m)2, so let xi be its unique complex limit. A Cauchy sequence is norm bounded, say by C. For finite F, passage to the limit in the finite sum gives iFxi2C2; taking suprema shows x2(I). Given ε>0, choose N such that x(n)x(m)2<ε for m,nN. For fixed nN, passage to coordinate limits on every finite F gives iFxi(n)xi2ε2; taking suprema gives x(n)x2ε. Thus the sequence converges (use half a prescribed tolerance). Unique coordinate limits require no choice. Since I is nonempty and ei has norm one, this Hilbert space is nonzero.

A1
1.2

The formula Tx=(λixi) defines a bounded linear operator with Tx2=iλi2xi2M2x2, so TM, and Tsupiλi=M by testing on the basis vectors, so T=M; the adjoint is Ty=(λiyi) because Tx,y=iλixiyi=ixiλiyi, so TT=TT is diagonal with entries λi2 and T is normal.

A1A2A4
1.3

The map E takes values in orthogonal projections: for square-summable x the family (1B(λi)xi) is square-summable with E(B)x2=i1B(λi)xi2, so E(B)1 and E(B)2=E(B)=E(B) because the identity holds coordinatewise and the formula is symmetric.

A1algebra
2.1

σ(T)={λi}: if z is outside the closure then δ:=infizλi>0, the diagonal operator with entries (zλi)1 is bounded with norm at most δ1 and is a two-sided inverse of zIT, so zρ(T); if z{λi} pick a sequence λikz, so (TzI)eik=λikz0 and TzI is not bounded below, whence zσ(T).

step 1.2A1A2
3.1

The projection identities, E()=0, E(σ(T))=I, and E(BC)=E(B)E(C) hold coordinatewise. For disjoint (Bn)n0 with union B, fix x and ε>0 and choose a finite coordinate set F with iFxi2<ε2, using the small-tail property in [A1]. Choose N so every λiB with iF belongs to some Bn with nN (a finite maximum suffices). Then the difference E(B)xnNE(Bn)x vanishes on F and has other coordinates of modulus at most xi, so its squared norm is less than ε2. This proves strong countable additivity. For regularity of Ex, choose finite F with squared tail less than ε. Given Borel B, set K={λi:iF,λiB} and U=σ(T){λi:iF,λiB}. Then K is compact, U is open, KBU, and both Ex(BK) and Ex(UB) are at most the tail. Thus every finite positive scalar measure is inner and outer regular; it is locally finite since its total mass is x2. The spectrum is compact Hausdorff by [A3], so this is exactly a regular PVM.

step 1.1step 1.3step 2.1A1A3A4
4.1

For every x, every iI and Borel B, the scalar measure Ex,ei equals xiδλi, since E(B)x,ei=1B(λi)xi. Integration against this measure gives fdEx,ei=f(λi)xi: first for indicators and simple functions, then for bounded Borel functions by uniform simple approximation and finite variation. By the bounded PVM integral's pairing formula, (ΦE(f)x)i=f(λi)xi. This family is square summable since f is bounded. In particular ΦE(z)x=Tx coordinatewise.

step 3.1A1A3
5.1

The regular PVM on σ(T) just constructed has ΦE(z)=T, so uniqueness in the spectral theorem identifies it as the spectral PVM of T. Its bounded Borel calculus therefore has (f(T)x)i=f(λi)xi by step 4.1.

step 1.1step 1.2step 4.1A3A5
6.1

The diagonal operator is therefore bounded normal with σ(T)={λi}, its spectral projections act by 1B on the coordinates, and its bounded Borel calculus acts by the scalar values f(λi).

step 1.2step 2.1step 5.1A5
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Pvm of a multiplication operator

Example

Assume AC. Let (X,Σ,μ) be a sigma-finite measure space with μ(X)>0 (Finite, sigma-finite, and semifinite measures), let m:XC be bounded and measurable (A measurable function between measurable spaces), and let Mm:L2(μ;C)L2(μ;C) be multiplication by m, Mmf=mf (The space Lp(μ) as the quotient by null functions). Then Mm is a bounded normal operator, its spectrum is the essential range R(m):={zC: μ(m1(B(z,ε)))>0 for every ε>0}, its spectral projection valued measure E on the Borel σ-algebra of R(m) is E(B)f=1m1(B)f, and its bounded Borel functional calculus is f(Mm)=Mf~m,f(Mm)h=(f~m)h, for every bounded Borel f on R(m), where f~ is the zero extension of f to C. Since mR(m) almost everywhere, the resulting multiplication operator is independent of the values chosen for an extension off R(m) and is customarily denoted Mfm.

Facts & Assumptions

[A1]

L2(μ) is a Hilbert space; its elements are almost-everywhere classes, f22=f2dμ, and f,g=fgdμ (L2 with the integral pairing is a Hilbert space, The space Lp(μ) as the quotient by null functions, Hilbert space).

[A2]

For a bounded complex measurable φ, use the real essential-supremum interface on φ to define φ. This essential supremum φ is the least essential bound: φφ almost everywhere (The essential supremum of a measurable function with respect to a measure, The essential supremum is attained as the least essential bound).

[A3]

zρ(T) exactly when zIT is bijective with bounded inverse; a bounded operator that is not bounded below has no bounded inverse (Spectrum and resolvent of a bounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[A4]

Sigma-finiteness provides finite-measure sets covering X; finite unions make the cover increasing. If every intersection of a positive-measure set with these cover sets were null, their countable union would be null. Hence one intersection has positive finite measure (Finite, sigma-finite, and semifinite measures).

[A5]

A finite Borel measure on a second-countable LCH space is regular (Locally finite Borel measures on second-countable LCH spaces are regular).

[A6]

For a bounded normal operator on a nonzero complex Hilbert space, its spectrum is nonempty compact and the spectral PVM is the unique regular PVM on σ(T) with zdE=T, and f(T) has pairings f(T)h,g=fdEh,g with Eh,g(B)=E(B)h,g (Spectral theorem for bounded normal operators pvm form, Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator, Scalar and complex measures from a pvm, Bounded borel pvm integral).

[A7]

Domination: if mφ almost everywhere and hL2(μ) then m2h2dμφ2h2; and dominated convergence applies to uniformly bounded pointwise convergent sequences against the finite measure h2dμ (Dominated convergence).

[A8]

The adjoint pairing is that of The Hilbert-space adjoint of a bounded operator, and regular PVM means Projection valued measure. AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Verification

technique · direct

Given: A sigma-finite measure space (X,Σ,μ), a bounded measurable m, and the multiplication operator Mmf=mf on L2(μ); write R:=R(m) for the essential range.

1.1

Mm is a bounded linear operator with Mm=m: Mmh22=m2h2dμm2h22, and if 0c<m, the set A={m>c} has positive measure, and choosing BA of positive finite measure gives Mm1B2c1B2, so Mmc and hence Mm=m (when the essential norm is zero, the upper bound already gives equality). Since μ(X)>0, [A4] also supplies a nonzero finite-measure indicator, so this Hilbert space is nonzero.

A1A2A4A7
1.2

Mm is normal: the adjoint is Mm because Mmh,g=mhgdμ=hmgdμ=h,Mmg, and MmMm=Mm2=MmMm.

A1A7A8
2.1

σ(Mm)=R: if zR then μ(m1(B(z,ε)))=0 for some ε>0, so mzε almost everywhere, r(x):=1/(m(x)z) on {mzε} and r(x):=0 elsewhere defines a bounded measurable multiplier Mr that is a two-sided inverse on a.e. classes of MmzI, and zρ(Mm); if zR then for each n the set An={mz<1/(n+1)} has positive measure, sigma-finiteness gives BnAn with 0<μ(Bn)<, and the unit vectors hn=1Bn/1Bn2 satisfy (MmzI)hn21n+1, so MmzI is not bounded below and zσ(Mm).

step 1.1A3A4
3.1

The set R=σ(Mm) is nonempty compact by [A6] and steps 1.1–2.1. It is a second-countable LCH space, being a compact subspace of the Euclidean plane (intersections with rational-centre, rational-radius balls give a countable base). Moreover mR almost everywhere: for every zR there is an open ball about z with null preimage; a countable rational-ball base refines all these balls. The union of those base balls having null preimage is exactly CR, since any point in one has a smaller ball with null preimage. Its preimage is a countable union of null sets.

step 1.1step 1.2step 2.1A6
4.1

Define E(B)=M1m1(B) for Borel BR; these sets are also Borel in C since R is closed. Each E(B) is an orthogonal projection by multiplication and the adjoint pairing; E()=0, E(R)=I by step 3.1, and E(BC)=E(B)E(C). For disjoint (Bn)n0 with union B, the squared norm of the additive remainder is the integral of 1m1(B)nN1m1(Bn)2h2. The integrands tend to zero and are bounded by the integrable function h2, so dominated convergence gives strong countable additivity. Thus E is a PVM. Its positive scalar measures Eh(B)=m1(B)h2dμ have mass h2 and are finite Borel measures on the second-countable LCH space R, hence regular by [A5].

step 1.1step 1.2step 3.1A1A5A7A8
5.1

For every h,gL2(μ) the product hg is integrable, since 2hgh2+g2. The scalar measure Eh,g(B)=m1(B)hgdμ therefore satisfies φdEh,g=(φ~m)hgdμ first for indicators and simple functions, using zero extensions. For bounded Borel f on R, uniformly approximating by simple functions proves the same equality: the right-side error is bounded by the uniform error times hg, and the left-side error by the uniform error times Eh,g(R)<. No boundedness restriction on h,g or density assertion is needed. In particular for f(z)=z, step 3.1 makes f~m=m almost everywhere, so the bounded PVM integral satisfies ΦE(z)=Mm by equality of all pairings.

step 3.1step 4.1A1A6A7
6.1

By the uniqueness clause of the spectral theorem the regular PVM E on R=σ(Mm) with zdE=Mm is the spectral PVM of Mm; for every bounded Borel f on R, let f~ be its zero extension to C. The same approximation argument gives f(Mm)h,g=fdEh,g=(f~m)hgdμ=Mf~mh,g, hence f(Mm)=Mf~m for all h,g; because mR almost everywhere, this class is independent of the extension off R.

step 3.1step 4.1step 5.1A6
7.1

The multiplication operator has spectrum the essential range of m, spectral projections given by multiplication by the pulled-back indicators, and Borel calculus f(Mm)=Mf~m, customarily written Mfm modulo the null set where mR(m).

step 2.1step 4.1step 6.1A8
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Spectral projection of an isolated eigenvalue agrees with the riesz projection

Example

Assume AC. Let T be a bounded normal operator on a nonzero complex Hilbert space H, let λ be an isolated point of σ(T), and let r>0 be such that the closed disc D(λ,r) meets σ(T) in {λ} alone; let γ(t)=λ+rexp(it), 0t2π, be the positively oriented circle. Then the spectral projection of the singleton equals the Riesz spectral projection, E({λ})=12πiγ(zIT)1dz, where the contour integral is the Banach-algebra-valued integral of Riesz spectral projection (with resolvent (zIT)1, matching its convention R(z,a)=(z1a)1, and not the opposite sign (TzI)1), and where E is the spectral PVM of Spectral projections and resolution of the identity.

Facts & Assumptions

[A1]

{λ} is clopen in σ(T), so the Riesz spectral projection P{λ}=12πiΓχ{λ}(z)(zIT)1dz is defined and lies in B(H); it is an idempotent commuting with T (Riesz spectral projection, Riesz spectral projection properties).

[A2]

For zσ(T) the function gz(ζ):=(zζ)1 is bounded Borel on σ(T) and (zIT)1=ΦE(gz): zIT=ΦE(zζ) and multiplying by zζ, using multiplicativity of the Borel calculus, gives (zIT)ΦE(gz)=ΦE((zζ)gz)=ΦE(1)=I and ΦE(gz)(zIT)=I (Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator).

[A3]

A bounded linear map between Banach spaces commutes with Bochner integration (Bounded linear maps commute with Bochner integration). Integrable simple approximations converging in integral norm define the Bochner integral (Bochner-integrable function); continuity and the required approximations for this contour are proved below, not inferred from the resolvent definition.

[A4]

Scalar Cauchy facts: if f is holomorphic on the disc D(a,R) and γ is the positively oriented circle ζa=r with 0<r<R, then f(z)=12πiγf(ζ)ζzdζ for za<r; and for a holomorphic f on a convex domain and a closed rectifiable contour in it, γf=0 (Cauchy's integral formula on a circle compactly contained in a disc of holomorphy, Cauchy's theorem on a convex complex domain).

[A5]

For every bounded Borel h one has ΦE(1B)=E(B) and ΦE is linear and bounded, with ΦE(h)h (Bounded borel pvm integral, Borel functional calculus for a bounded normal operator, Hilbert space).

[A7]

The spectrum K=σ(T) is nonempty compact (Spectral theorem for bounded normal operators pvm form). A Banach space is complete in its norm, uniform limits of continuous scalar functions are continuous, and B(H) is Banach (Banach space, A uniform limit of continuous functions is continuous, so C(X,Y) is closed in YX under the uniform metric, If (Y) is Banach then (\mathcal B(X,Y)) is Banach, Hilbert space).

[A6]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

[A8]

The continuous calculus is isometric, the Borel calculus agrees with it on continuous functions, and E({λ})H=ker(TλI) (Continuous functional calculus for bounded normal operators, Borel functional calculus for bounded normal operators, Spectral projections and resolution of the identity).

Verification

technique · direct

Given: A bounded normal T, an isolated spectral point λ, a radius r>0 with D(λ,r)σ(T)={λ}, the circle γ, and K=σ(T).

1.1

First Cb(K) is Banach in the supremum norm. If (fm) is Cauchy, then (fm(ζ)) converges for every ζ; call the limit f(ζ). Fixing one sufficiently late index bounds f uniformly, and letting the other index tend pointwise to its limit in the Cauchy estimate gives fmf0. Thus f is continuous by [A7], proving completeness. Now let δ=dist(γ,K)>0, positive since the two compact sets are disjoint. For z,w on the circle, gzCb(K), gzδ1 and gzgwzwδ2, by subtracting the reciprocals pointwise. Thus tgγ(t)γ(t) is continuous, indeed uniformly continuous, into Cb(K) on [0,2π]. Step functions on successively finer equal subdivisions, with endpoint values as coefficients, approximate it uniformly, hence also in integral norm (error at most 2π times the uniform error); they show strong measurability and Bochner integrability by definition. Applying the bounded map ΦE:Cb(K)B(H) also proves continuity and Bochner integrability of the resolvent contour integrand, since ΦE(gz)=(zIT)1.

A2A3A5A7
1.2

The scalar Cauchy kernel of the contour is the indicator of the enclosed disc: for every ζCγ([0,2π]) one has c(ζ):=12πiγ(zζ)1dz=1 if ζλ<r and c(ζ)=0 if ζλ>r, by the Cauchy integral formula applied to f1 in the first case and Cauchy's theorem on the convex disc D(λ,ζλ) in the second.

A4
2.1

By step 1.1 and Bochner commutation, 12πiγ(zIT)1dz=ΦE(12πi02πgγ(t)γ(t)dt). For every ζK, evaluation uu(ζ) is bounded linear on Cb(K) with norm at most one; applying Bochner commutation once more identifies the function inside ΦE pointwise with cK. All contour integrals here include the derivative of the parametrization.

step 1.1A3A5A7
3.1

Evaluation on the spectrum: the closed disc D(λ,r) meets σ(T) only at λ, so for ζσ(T) the value c(ζ) is 1 exactly at ζ=λ and 0 otherwise; hence cσ(T)=1{λ} and the contour integral equals ΦE(1{λ})=E({λ}).

step 1.2step 2.1A5
4.1

To check the defining Riesz cycle conditions, choose R>r with K{λ} disjoint from D(λ,R): compactness gives such an R if this complement is nonempty, and any R>r works otherwise. Choose r<R1<R2<R, set U1=D(λ,R1) and U0={z:zλ>R2}, and define χ=1 on U1, χ=0 on U0. These are disjoint open neighborhoods of the respective spectral parts. The circle lies in U1K, has index one at λ, zero at the other spectral points and zero outside U1U0, by step 1.2. Thus it is a permitted cycle in the Riesz definition and χ=1 on it. Consequently P{λ}=12πiγ(zIT)1dz=E({λ}).

step 1.2step 3.1A1A6A7
4.2

The isolated spectral point is an eigenvalue. Indeed 1{λ} is a nonzero continuous function on K because the singleton is clopen there, so isometry of the continuous calculus gives 1{λ}(T)=1. Agreement of the calculi and step 3.1 identify this operator with E({λ}), which is therefore nonzero; since its range equals ker(TλI), that eigenspace is nonzero.

step 3.1A5A8
5.1

The spectral projection of the isolated eigenvalue λ is therefore exactly the Riesz projection computed from the resolvent (zIT)1 along a positively oriented circle separating λ from the rest of the spectrum.

step 4.1step 4.2A1
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Sign and positive negative parts of a self adjoint operator

Example

Assume AC. Let T be a bounded self-adjoint operator on a nonzero complex Hilbert space H, so that σ(T)R (Spectrum of a self adjoint operator is real), and let E be its spectral projection valued measure. Write T:=λ(T),T+:=max(λ,0)(T),T:=max(λ,0)(T),sgn(T):=s(λ)(T), where λ, max(λ,0), max(λ,0) are continuous on σ(T) and s(t):=1 for t>0, s(t):=1 for t<0, s(0):=0 is bounded Borel on σ(T), so all four operators are given by the continuous, respectively bounded Borel, functional calculus (Borel functional calculus for a bounded normal operator). Then

T=T+T,T=T++T,T+T=0,T±=12(T±T),sgn(T)2=IE({0}),

and T agrees with the absolute value (TT)1/2 of Absolute value of a bounded operator; moreover IE({0})=E(σ(T){0}) is the orthogonal projection onto (kerT).

Facts & Assumptions

[A1]

A bounded self-adjoint operator has σ(T)R, and its Borel calculus is a unital -homomorphism: (fg)(T)=f(T)g(T), f(T)=f(T) and 1B(T)=E(B) for every Borel Bσ(T); it extends the continuous calculus on continuous f (Spectrum of a self adjoint operator is real, Borel functional calculus for bounded normal operators, Borel functional calculus for a bounded normal operator).

[A2]

Scalar identities for real λ: λ=max(λ,0)max(λ,0), λ=max(λ,0)+max(λ,0), max(λ,0)max(λ,0)=0, s(λ)2=1R{0}(λ), λ2=λ2 and λ0; the functions max(λ,0), max(λ,0) and λ are continuous on the compact real spectrum and s is Borel and bounded by 1. [algebra]

[A3]

E({0})H=kerT and E({0})=IE(σ(T){0}), so IE({0}) is the orthogonal projection onto (kerT) (Spectral projections and resolution of the identity).

[A4]

For self-adjoint T one has TT=T2, and a bounded positive operator has a unique positive square root; the calculus value of a nonnegative continuous function is positive, and the calculus is isometric (Absolute value of a bounded operator, Positive square root, Self-adjoint, positive, unitary and normal operators, Continuous functional calculus properties, Projection valued measure).

[A5]

The order on bounded self-adjoint operators is the quadratic-form order, and S0 means Sx,x0 for all x (Order on bounded self adjoint operators).

[A6]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Verification

technique · direct

Given: A bounded self-adjoint T on a nonzero complex Hilbert space, its spectral PVM E and Borel calculus, and the functions λ, max(λ,0), max(λ,0), s(λ) on σ(T)R.

1.1

The three continuity identities pass to the calculus: T=ΦE(λ)=ΦE(max(λ,0))ΦE(max(λ,0))=T+T and T=ΦE(λ)=T++T, by linearity of the Borel calculus applied to the pointwise scalar identities, since the involved functions are continuous on the compact spectrum.

A1A2
1.2

Orthogonality of the parts: T+T=ΦE(max(λ,0)max(λ,0))=ΦE(0)=0 by multiplicativity.

A1A2
1.3

Sign: s(λ)2=1σ(T){0}(λ), hence sgn(T)2=ΦE(1σ(T){0})=E(σ(T){0})=IE({0}), and E({0}) is the orthogonal projection onto kerT, so IE({0}) is the orthogonal projection onto (kerT).

A1A2A3
1.4

The absolute value agrees with the earlier definition: T=ΦE(λ) is positive because λ0, and T2=ΦE(λ2)=ΦE(λ2)=T2=TT; by the uniqueness of the positive square root of TT, T=(TT)1/2.

A1A2A4A5
2.1

The operators T± are the half-sum and half-difference: from the two identities of step 1.1, T+T=2T+ and TT=2T, so T±=12(T±T).

step 1.1
3.1

Therefore T=T+T, T=T++T, T+T=0, T±=12(T±T), sgn(T)2=IE({0}) with IE({0}) the projection onto (kerT), and T coincides with (TT)1/2.

step 1.2step 2.1step 1.3step 1.4A6
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Borel functional calculus defines a discontinuous characteristic function

Example

Assume AC. Let H=L2([0,1],λ) for Lebesgue measure λ and let T=Mx be multiplication by the coordinate, (Th)(x)=xh(x). Then T is bounded self-adjoint with σ(T)=[0,1], and the Borel functional calculus applied to the discontinuous function 1[0,1/2] produces the orthogonal projection onto the closed subspace L2([0,12])={hL2([0,1]): h=0 a.e. on (12,1]}, namely 1[0,1/2](T)=M1[0,1/2], whose range is that subspace and whose kernel is L2((12,1]).

Facts & Assumptions

[A1]

The multiplication operator Mx on L2([0,1]) is bounded self-adjoint with σ(Mx)=[0,1], spectral projections E(B)=M1B[0,1] and Borel calculus f(Mx)=Mfx for every bounded Borel f on [0,1] (Pvm of a multiplication operator, Borel functional calculus for a bounded normal operator).

[A2]

The indicator 1[0,1/2] is bounded Borel on [0,1] and satisfies 1[0,1/2]2=1[0,1/2]=1[0,1/2], so its calculus value is an orthogonal projection equal to the spectral projection E([0,1/2]) (Borel functional calculus for bounded normal operators, Spectral projections and resolution of the identity).

[A3]

Elements of L2 are equivalence classes modulo almost-everywhere equality; a class is supported in a Borel set A when it has a representative vanishing almost everywhere off A, and L2(A) denotes this subspace of classes (The space Lp(μ) as the quotient by null functions, Orthogonality and the orthogonal complement, Hilbert space).

[A4]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Verification

technique · direct

Given: Lebesgue measure on [0,1], the operator T=Mx and the function 1[0,1/2].

1.1

The function 1[0,1/2] is bounded Borel on [0,1]=σ(T), with values in {0,1} and equal to its own square and conjugate, so the calculus attaches to it an orthogonal projection.

A1A2
1.2

By the computation of the calculus for multiplication operators, 1[0,1/2](T)=M1[0,1/2]x=M1[0,1/2], acting by (M1[0,1/2]h)(x)=1[0,1/2](x)h(x).

A1
2.1

Put A=[0,1/2] and P=M1A. For every h, Ph vanishes almost everywhere off A; conversely, if g is supported in A, then Pg=g, so ranP=L2(A). Also Ph=0 exactly when h vanishes almost everywhere on A, so kerP=L2((1/2,1]). Both subspaces are closed: if Phn=hnh, boundedness and P2=P give Ph=limPhn=h, while if Phn=0 and hnh, then Ph=limPhn=0.

step 1.2A1A3
3.1

The spectral projection E([0,1/2]) agrees with this multiplication by the pulled-back indicator, so the discontinuous characteristic function of the Borel set has produced a genuine orthogonal projection of the operator, not merely a continuous-calculus value.

step 1.2step 2.1A2A4
4.1

The Borel calculus of T=Mx therefore assigns to the discontinuous function 1[0,1/2] the orthogonal projection onto the classes supported in [0,1/2], with kernel the classes supported in (1/2,1].

step 3.1A4
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedaudited 2026-09-22Open item page →

Continuous functional calculus cannot produce every spectral projection

Statement refuted

Assume AC. For T=Mx, multiplication by the coordinate on L2([0,1],λ), there is a continuous f:[0,1]C with f(T)=E([0,12]), where E is the spectral projection valued measure of T.

Facts & Assumptions

[A1]

T=Mx is bounded self-adjoint with σ(T)=[0,1]; its spectral projections act by E(B)=M1B, and E([0,1/2]) is the orthogonal projection onto the classes supported in [0,1/2] (Pvm of a multiplication operator, Borel functional calculus defines a discontinuous characteristic function).

[A2]

The continuous calculus is the restriction of the Borel calculus to continuous functions: for continuous f the operator f(T) of Continuous functional calculus for bounded normal operators satisfies f(T)=Mfx (Pvm of a multiplication operator, Borel functional calculus for a bounded normal operator).

[A3]

Multiplication operators in L2: Mgh=0 as a class exactly when gh=0 almost everywhere, and two continuous functions on [0,1] that agree almost everywhere agree everywhere, because the complement of the closed set on which they agree is open and null (The space Lp(μ) as the quotient by null functions, Spectrum and resolvent of a bounded operator).

[A4]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Counterexample

technique · direct

Given: Lebesgue measure on [0,1], the operator T=Mx and the spectral projection P:=E([0,1/2])=M1[0,1/2].

1.1

Suppose, for contradiction, that fC([0,1]) satisfies Mfx=f(T)=P=M1[0,1/2].

A1A2
2.1

Evaluating on h:=1[0,1/2], one gets (fx)h=1[0,1/2]h=h; subtracting, (f1)h=0 almost everywhere, so (fx1)=0 almost everywhere on the set {h0}=[0,1/2] (modulo a null set), hence f=1 on [0,1/2] by continuity.

step 1.1A3
2.2

Evaluating on the nonzeroth class h:=1(1/2,1], one gets (fx)h=1[0,1/2]h=0, so f=0 almost everywhere on (1/2,1] and hence f=0 on (1/2,1] by continuity, which forces f(1/2)=0.

step 1.1A3
3.1

The two evaluations give f(1/2)=1 and f(1/2)=0 simultaneously, a contradiction.

step 2.1step 2.2
4.1

No continuous function on [0,1] can satisfy f(T)=E([0,1/2]) for T=Mx: this particular spectral projection forces incompatible one-sided values at 1/2 and is not a continuous-calculus value of T.

step 3.1A4
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedaudited 2026-09-22Open item page →

A normal operator need not have any eigenvectors

Statement refuted

Assume AC. Every bounded normal operator on a nonzero complex Hilbert space has a nonzero eigenvector.

Facts & Assumptions

[A1]

T=Mx on L2([0,1],λ) is bounded self-adjoint with σ(T)=[0,1], spectral projections E(B)=M1B, and the eigenvector identity is available in the form E({μ})H=ker(TμI) (Pvm of a multiplication operator, Spectral projections and resolution of the identity, Spectral theorem for bounded normal operators pvm form).

[A2]

In L2, a class h satisfies xh=μh if and only if (xμ)h=0 almost everywhere; a product of a bounded measurable function with h vanishes almost everywhere exactly when h=0 almost everywhere off the zero set of the factor, and every representative of a nonzero L2 class is nonzero on a set of positive measure (The space Lp(μ) as the quotient by null functions, Borel functional calculus for a bounded normal operator).

[A3]

AC is the declared choice hypothesis of this page from the construction item onward (The Axiom of Choice).

Counterexample

technique · direct

Given: Lebesgue measure on [0,1], the operator T=Mx, and the spectral projection E({μ}) of a point μC.

1.1

T is normal, indeed bounded self-adjoint, with σ(T)=[0,1].

A1
1.2

Let h0 in L2([0,1]) and suppose Th=μh. Then (xμ)h=0 almost everywhere, so h=0 almost everywhere on the set {xμ}; since that set is [0,1] minus at most one point, hence of full measure, h=0 almost everywhere on [0,1].

A2
2.1

A class vanishing almost everywhere is the zero class, contradicting h0; hence no nonzero eigenvector exists at any μ.

step 1.2A2
2.2

Consistently with the eigenvector identity E({μ})H=ker(TμI), the spectral projection of each singleton is zero, since the measure xλ is nonatomic: E({μ})=M1{μ}=0 in L2.

step 1.2A1
3.1

The bounded normal operator Mx on L2([0,1]) therefore has spectrum [0,1] and no nonzero eigenvectors, refuting the statement that every bounded normal operator has one.

step 1.1step 2.1step 2.2A3
RemarkRemark: AI-adaptedProof: Not applicableaudited 2026-09-22Open item page →

Direct integrals and general multiplicity theory

Remark

Assume AC. The standard measurable direct-integral model for a bounded normal operator on a separable Hilbert space, and the classification of such operators by the scalar measure class together with the almost-everywhere multiplicity function, are proved on this page: the model with its measurable field of fibers of dimension m(z) and the identification with the orthogonal sum of cyclic L2-summands are Spectral multiplicity function in the separable case; the invariance of the scalar measure class and of the fiber dimension under unitary intertwiners is Unitary intertwiners preserve direct-integral fiber dimension; and the classification statement is Unitary equivalence classified by measure class and multiplicity. In that theorem the multiplicity is the almost-everywhere dimension of the direct-integral fiber, not the dimension of the eigenspace ker(TzI). The two notions can differ drastically: A normal operator need not have any eigenvectors exhibits a normal operator with spectrum [0,1] but no nonzero eigenspace at any spectral point.

General measurable fields of Hilbert spaces beyond the standard countable fibers used here, and nonseparable multiplicity theory, are orientation only: they are not constructed, not stated as results, and are not suppliers for any item on this page or its consumers. The separable statements above are self-contained in the sense that every supplier they use is either proved earlier in the library or earlier on this page.

Sources