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PhyslibAlpha.ProbabilisticTheory.HilbertSpace.Unbounded.UnitaryInfra.SesquilinearForm

The spectral forms of a bounded normal operator

i. Overview

For a bounded normal operator `U` and vectors `x`, `y`, the functional `f ↦ ⟪x, f(U) y⟫` on continuous functions on the spectrum is given, by the Riesz–Markov–Kakutani theorem and polarization, by a complex measure. Integrating bounded measurable functions against these measures gives a bounded sesquilinear form for each such function.

ii. Key results

  • `cfcScalarMeasure` : the measure representing `f ↦ ⟪x, f(U) x⟫`.
  • `polarizedCfcScalarMeasure` : the complex measure representing `f ↦ ⟪x, f(U) y⟫`.
  • `cfcSesquilinearForm` : the sesquilinear form of a bounded measurable function.

iii. Table of contents

  • A. Integrals along the range map
  • B. Complexification of finite signed measures
  • C. Finiteness of the polarized scalar measures
  • D. A general positive-contraction norm estimate
  • E. Positive scalar functionals from the continuous functional calculus
  • F. Sesquilinearity of the polarized measure
  • G. Polarization
  • H. Full complex sesquilinearity of the polarized measure
  • I. Riesz representation of the polarized measure

A. Integrals along the range map

B. Complexification of finite signed measures

C. Finiteness of the polarized scalar measures

D. A general positive-contraction norm estimate

This is a standalone fact about `H →L[ℂ] H` for any complex Hilbert space `H`, not specific to the continuous functional calculus of a fixed normal operator: it is Step 2 of the idempotency argument below, quantifying `0 ≤ A ≤ 1 ⟹ A ^ 2 ≤ A` into a norm bound.

E. Positive scalar functionals from the continuous functional calculus

F. Sesquilinearity of the polarized measure

G. Polarization

H. Full complex sesquilinearity of the polarized measure

Writing `c = c.re + c.im i`, homogeneity for real scalars and for `i` gives complex linearity in the first vector and conjugate linearity in the second.

I. Riesz representation of the polarized measure

85 declarations

definition

Regular Borel measure μ\mu associated with a positive functional Λ\Lambda

For a compact positive linear functional Λ\Lambda defined on the space of compactly supported continuous functions Cc(X,R)C_c(X, \mathbb{R}), this is the unique regular Borel measure μ\mu on XX such that for every f∈Cc(X,R)f \in C_c(X, \mathbb{R}), the integral of ff with respect to μ\mu equals the value of the functional applied to ff: ∫Xf dμ=Λ(f)\int_X f \, d\mu = \Lambda(f)

instance

The measure associated with a compact positive functional is regular

Let XX be a topological space and Λ\Lambda be a compact positive linear functional on the space of compactly supported continuous functions Cc(X,R)C_c(X, \mathbb{R}). Let μ\mu be the unique Borel measure on XX such that for every f∈Cc(X,R)f \in C_c(X, \mathbb{R}), the integral of ff with respect to μ\mu is equal to the value of the functional applied to ff: ∫Xf dμ=Λ(f)\int_X f \, d\mu = \Lambda(f) Then, the measure μ\mu is a regular measure.

theorem

∫Xf dμ=Λ(f)\int_X f \, d\mu = \Lambda(f)

Let XX be a topological space and Λ\Lambda be a compact positive linear functional on the space of compactly supported continuous functions Cc(X,R)C_c(X, \mathbb{R}). Let μ\mu be the regular Borel measure associated with Λ\Lambda. For any function f∈Cc(X,R)f \in C_c(X, \mathbb{R}), the integral of ff with respect to μ\mu is equal to the value of the functional Λ\Lambda applied to ff: ∫Xf dμ=Λ(f)\int_X f \, d\mu = \Lambda(f)

theorem

∫Sf dμ=0\int_S f \, d\mu = 0 if ff vanishes on SS

Let XX be a topological space and Λ\Lambda be a compact positive functional on the space of compactly supported continuous functions Cc(X,R)C_c(X, \mathbb{R}). Let μ\mu be the regular Borel measure associated with Λ\Lambda, defined such that ∫Xg dμ=Λ(g)\int_X g \, d\mu = \Lambda(g) for all g∈Cc(X,R)g \in C_c(X, \mathbb{R}). For any function f∈Cc(X,R)f \in C_c(X, \mathbb{R}) and any measurable set S⊆XS \subseteq X, if f(x)=0f(x) = 0 for all x∈Sx \in S, then the integral of ff with respect to the restriction of the measure μ\mu to SS is zero: ∫Xf d(μ∣S)=0\int_X f \, d(\mu|_S) = 0

theorem

Λ1=Λ2  ⟹  μΛ1=μΛ2\Lambda_1 = \Lambda_2 \implies \mu_{\Lambda_1} = \mu_{\Lambda_2} for Positive Functionals

Let XX be a topological space. Let Λ1\Lambda_1 and Λ2\Lambda_2 be compact positive linear functionals on the space of compactly supported continuous functions Cc(X,R)C_c(X, \mathbb{R}). If Λ1(f)=Λ2(f)\Lambda_1(f) = \Lambda_2(f) for all f∈Cc(X,R)f \in C_c(X, \mathbb{R}), then their associated regular Borel measures μ1\mu_1 and μ2\mu_2 (defined such that ∫Xf dμi=Λi(f)\int_X f \, d\mu_i = \Lambda_i(f)) are equal.

definition

Pullback of a bilinear pairing BB along LL in its second argument

Given a continuous linear map L:F→GL: F \to G and a continuous bilinear map B:E→L(G,K)B: E \to \mathcal{L}(G, K) (where L(G,K)\mathcal{L}(G, K) is the space of continuous linear maps from GG to KK over R\mathbb{R}), this definition constructs a new continuous bilinear map E→L(F,K)E \to \mathcal{L}(F, K). For any e∈Ee \in E, the resulting linear map from FF to KK is the composition of LL followed by the linear map B(e)B(e). In other words, it maps (e,f)(e, f) to B(e,L(f))B(e, L(f)).

theorem

(L∘μ)TB=μT(B∘L)(L \circ \mu)^T B = \mu^T (B \circ L) for vector measures

Let XX be a measurable space, and let E,F,G,E, F, G, and KK be real normed spaces. Let μ\mu be a vector measure on XX with values in FF, L:F→GL: F \to G be a continuous R\mathbb{R}-linear map, and B:E→LR(G,K)B: E \to \mathcal{L}_{\mathbb{R}}(G, K) be a continuous bilinear pairing. Let L∘μL \circ \mu denote the vector measure taking values in GG obtained by composing μ\mu with LL (i.e., (L∘μ)(A)=L(μ(A))(L \circ \mu)(A) = L(\mu(A)) for any measurable set AA). Then, the transpose of L∘μL \circ \mu with respect to the pairing BB is equal to the transpose of μ\mu with respect to the pullback pairing B∘LB \circ L, where the pullback pairing is defined as (e,f)↦B(e,L(f))(e, f) \mapsto B(e, L(f)).

theorem

∫f d[B;L∘μ]=∫f d[BL;μ]\int f \, d[B; L \circ \mu] = \int f \, d[B_L; \mu]

Let XX be a measurable space and E,F,G,KE, F, G, K be normed real vector spaces. Let μ\mu be an FF-valued vector measure on XX, L:F→GL: F \to G be a continuous R\mathbb{R}-linear map, and B:E→L(G,K)B: E \to \mathcal{L}(G, K) be a continuous R\mathbb{R}-bilinear map. Let f:X→Ef: X \to E be a function. If ff is integrable with respect to μ\mu and also integrable with respect to the transformed measure L∘μL \circ \mu (the vector measure obtained by post-composing μ\mu with LL), then: ∫Xf d[B;L∘μ]=∫Xf d[BL;μ]\int_X f \, d[B; L \circ \mu] = \int_X f \, d[B_L; \mu] where BL:E→L(F,K)B_L: E \to \mathcal{L}(F, K) is the "pulled-back" bilinear pairing defined by BL(e,v)=B(e,L(v))B_L(e, v) = B(e, L(v)).

definition

Continuous R\mathbb{R}-bilinear pairing C×R→C\mathbb{C} \times \mathbb{R} \to \mathbb{C}

This is the continuous R\mathbb{R}-bilinear pairing between complex numbers and real numbers. Specifically, it is the map C→LR(R,C)\mathbb{C} \to \mathcal{L}_{\mathbb{R}}(\mathbb{R}, \mathbb{C}) which, for a complex number z∈Cz \in \mathbb{C} and a real number r∈Rr \in \mathbb{R}, returns the product z⋅r∈Cz \cdot r \in \mathbb{C}. This pairing is used to integrate complex-valued functions against real signed measures.

definition

Postcomposition of a bilinear pairing B:E×F→GB: E \times F \to G with a linear map C:G→KC: G \to K

Let E,F,GE, F, G, and KK be normed real vector spaces. Given a continuous bilinear pairing B:E→L(F,G)B : E \to \mathcal{L}(F, G) and a continuous linear map C:G→KC : G \to K, the function returns a new continuous bilinear pairing B′:E→L(F,K)B' : E \to \mathcal{L}(F, K) defined by B′(e)(f)=C(B(e)(f))B'(e)(f) = C(B(e)(f)) for all e∈Ee \in E and f∈Ff \in F.

theorem

μ.transpose(C∘B)sx=C(μ.transposeBsx)\mu.\text{transpose} (C \circ B) s x = C (\mu.\text{transpose} B s x)

Let XX be a measurable space, and let E,F,GE, F, G, and KK be normed real vector spaces. Let μ\mu be an FF-valued vector measure on XX. Given a continuous bilinear pairing B:E→L(F,G)B: E \to \mathcal{L}(F, G) and a continuous linear map C:G→KC: G \to K, we define a post-composed pairing B′:E→L(F,K)B': E \to \mathcal{L}(F, K) by B′(x)(f)=C(B(x)(f))B'(x)(f) = C(B(x)(f)). For any set s⊆Xs \subseteq X and vector x∈Ex \in E, the transpose operation satisfies the following identity: (μ.transpose B′)sx=C((μ.transpose B)sx) (\mu.\text{transpose } B') s x = C((\mu.\text{transpose } B) s x) In this context, the transpose operation (μ.transpose B)sx(\mu.\text{transpose } B) s x represents the evaluation of the pairing BB between the vector xx and the value of the measure μ\mu on the set ss.

theorem

`setToL1S` commutes with continuous linear maps

Let XX be a measurable space and E,FE, F, and GG be normed real vector spaces. Let T:Set X→LR(E,F)T : \text{Set } X \to \mathcal{L}_{\mathbb{R}}(E, F) and T′:Set X→LR(E,G)T' : \text{Set } X \to \mathcal{L}_{\mathbb{R}}(E, G) be set functions taking values in the space of continuous linear maps. Let C:F→LRGC : F \to L_{\mathbb{R}} G be a continuous linear map. If for every measurable set s⊆Xs \subseteq X and every vector x∈Ex \in E, the condition T′(s)x=C(T(s)x)T'(s)x = C(T(s)x) is satisfied, then for any L1L^1 simple function f:X→Ef : X \to E with respect to a measure μ\mu, we have: setToL1S(T′,f)=C(setToL1S(T,f))\text{setToL1S}(T', f) = C(\text{setToL1S}(T, f)) where setToL1S\text{setToL1S} is the operator that integrates a simple function with respect to a set-indexed linear operator.

theorem

L1L^1 Integration Commutes with Continuous Linear Maps

Let XX be a measurable space with a measure μ\mu. Let EE be a real normed space, and let FF and GG be real Banach spaces. Suppose T:Set X→L(E,F)T: \text{Set } X \to \mathcal{L}(E, F) and T′:Set X→L(E,G)T': \text{Set } X \to \mathcal{L}(E, G) are dominated finite-measure additive set functions (with respect to μ\mu) that map sets to continuous linear operators. If C:F→GC: F \to G is a continuous linear map such that for every measurable set ss and every x∈Ex \in E, the condition T′(s)(x)=C(T(s)(x))T'(s)(x) = C(T(s)(x)) holds, then for any function ff in the L1L^1 space L1(X,μ;E)L^1(X, \mu; E), the L1L^1 integration operator `setToL1` satisfies: setToL1(T′,f)=C(setToL1(T,f)) \text{setToL1}(T', f) = C(\text{setToL1}(T, f))

theorem

Integration commutes with continuous linear maps **OR** C(∫f dT)=∫f d(C∘T)C(\int f \, dT) = \int f \, d(C \circ T)

Let XX be a measurable space equipped with a measure μ\mu. Let EE, FF, and GG be real normed spaces, where FF and GG are complete. Suppose T:P(X)→L(E,F)T: \mathcal{P}(X) \to \mathcal{L}(E, F) and T′:P(X)→L(E,G)T': \mathcal{P}(X) \to \mathcal{L}(E, G) are additive set functions that are dominated by μ\mu (specifically, they satisfy the `DominatedFinMeasAdditive` condition). Let C:F→GC: F \to G be a continuous linear map such that for every measurable set s⊆Xs \subseteq X and every x∈Ex \in E, T′(s)x=C(T(s)x)T'(s)x = C(T(s)x). Then for any μ\mu-integrable function f:X→Ef: X \to E, the generalized integral of ff with respect to T′T' satisfies ∫Xf dT′=C(∫Xf dT) \int_X f \, d T' = C \left( \int_X f \, d T \right) where ∫Xf dT\int_X f \, d T denotes the value of `MeasureTheory.setToFun` for the function ff and set function TT.

theorem

C(∫f d[B;μ])=∫f d[C∘B;μ]C \left( \int f \, d[B; \mu] \right) = \int f \, d[C \circ B; \mu]

Let XX be a measurable space. Let E,F,GE, F, G, and KK be normed real vector spaces, where GG and KK are complete (Banach spaces). Let μ\mu be an FF-valued vector measure on XX. Let B:E→L(F,G)B : E \to \mathcal{L}(F, G) be a continuous bilinear pairing and C:G→KC : G \to K be a continuous linear map. If f:X→Ef : X \to E is a function integrable with respect to μ\mu, then applying CC to the vector integral of ff with respect to μ\mu via the pairing BB is equal to the vector integral of ff with respect to μ\mu via the postcomposed pairing C∘BC \circ B: C(∫Xf(x) d[B;μ])=∫Xf(x) d[C∘B;μ] C \left( \int_X f(x) \, d[B; \mu] \right) = \int_X f(x) \, d[C \circ B; \mu] where the pairing C∘BC \circ B is defined by (C∘B)(e)(v)=C(B(e)(v))(C \circ B)(e)(v) = C(B(e)(v)) for e∈Ee \in E and v∈Fv \in F.

definition

Continuous linear map r↦irr \mapsto ir

The continuous R\mathbb{R}-linear map from the real numbers R\mathbb{R} to the complex numbers C\mathbb{C} that maps each real number rr to the purely imaginary number irir, where ii is the imaginary unit.

theorem

imaginaryOfRealCLM(r)=ir\text{imaginaryOfRealCLM}(r) = ir

For any real number r∈Rr \in \mathbb{R}, the continuous R\mathbb{R}-linear map `imaginaryOfRealCLM` applied to rr yields irir, where ii is the imaginary unit.

theorem

toComplexMeasure(s,t)=s+it\text{toComplexMeasure}(s, t) = s + it

Let YY be a measurable space. For any two signed measures ss and tt on YY, the complex measure constructed from ss and tt (denoted as s+its + it) is equal to the sum of the signed measure ss mapped into the complex numbers via the natural inclusion r↦rr \mapsto r and the signed measure tt mapped into the complex numbers via the map r↦irr \mapsto ir.

theorem

∫f d(s+it)=∫f ds+∫f d(it)\int f \, d(s + it) = \int f \, ds + \int f \, d(it)

Let (X,A)(X, \mathcal{A}) be a measurable space and let ss and tt be real-valued signed measures on XX. Let ν=s+it\nu = s + it be the complex measure constructed such that ss is its real part and tt is its imaginary part. For any complex-valued function f:X→Cf: X \to \mathbb{C}, if ff is integrable with respect to the measures ss and itit (viewed as complex measures via the embeddings r↦rr \mapsto r and r↦irr \mapsto ir respectively), then the integral of ff with respect to ν\nu is the sum of the integrals of ff with respect to these components: ∫Xf(x) d(s+it)(x)=∫Xf(x) ds(x)+∫Xf(x) d(it)(x)\int_X f(x) \, d(s + it)(x) = \int_X f(x) \, ds(x) + \int_X f(x) \, d(it)(x) In the formal statement, the measure ss is embedded into the complex plane via the map r↦r+0ir \mapsto r + 0i (`ofRealCLM`) and tt is embedded via the map r↦0+rir \mapsto 0 + ri (`imaginaryOfRealCLM`).

theorem

The pullback of complex multiplication along R↪C\mathbb{R} \hookrightarrow \mathbb{C} is the standard complex-real pairing.

Let ι:R→C\iota : \mathbb{R} \to \mathbb{C} be the standard inclusion of real numbers into the complex field. Let B:C×C→CB : \mathbb{C} \times \mathbb{C} \to \mathbb{C} be the continuous R\mathbb{R}-bilinear map representing complex multiplication, defined by (z,w)↦z⋅w(z, w) \mapsto z \cdot w. The pullback of BB along ι\iota in its second argument—which is the map (z,r)↦B(z,ι(r))(z, r) \mapsto B(z, \iota(r))—is equal to the standard continuous R\mathbb{R}-bilinear pairing C×R→C\mathbb{C} \times \mathbb{R} \to \mathbb{C} given by (z,r)↦z⋅r(z, r) \mapsto z \cdot r.

theorem

Integral of a complex function against a real measure embedded in C\mathbb{C}

Let (X,A)(X, \mathcal{A}) be a measurable space and μ\mu be a finite measure on XX. For any complex-valued function f:X→Cf: X \to \mathbb{C} that is integrable with respect to μ\mu, the integral of ff with respect to the complex measure obtained by mapping the real-valued signed measure μ\mu into the complex plane via the natural embedding R↪C\mathbb{R} \hookrightarrow \mathbb{C} is equal to the integral of ff with respect to μ\mu itself. That is, ∫Xf(x) d(ι∘μ)(x)=∫Xf(x) dμ(x)\int_X f(x) \, d(\iota \circ \mu)(x) = \int_X f(x) \, d\mu(x) where ι:R→C\iota: \mathbb{R} \to \mathbb{C} is the standard inclusion r↦r+0ir \mapsto r + 0i.

theorem

Integrability of ff under the isometric mapping of a finite measure to a complex measure

Let (X,M)(X, \mathcal{M}) be a measurable space and μ\mu be a finite measure on XX. Let L:R→CL: \mathbb{R} \to \mathbb{C} be a continuous R\mathbb{R}-linear map that is an isometry, such that ∥L(r)∥=∣r∣\|L(r)\| = |r| for all r∈Rr \in \mathbb{R}. If a complex-valued function f:X→Cf: X \to \mathbb{C} is integrable with respect to μ\mu, then ff is also integrable with respect to the complex measure obtained by mapping the values of μ\mu (viewed as a signed measure) through LL.

theorem

Integrability of ff under the real-to-complex embedding of a finite measure μ\mu

Let XX be a measurable space and μ\mu be a finite measure on XX. Let f:X→Cf : X \to \mathbb{C} be a complex-valued function. If ff is integrable with respect to μ\mu, then ff is also integrable with respect to the complex-valued measure obtained by post-composing the real-valued signed measure μ\mu with the natural inclusion map ι:R→C\iota : \mathbb{R} \to \mathbb{C} (where ι(r)=r+0i\iota(r) = r + 0i).

theorem

Integrability of ff under the imaginary mapping r↦irr \mapsto ir of a finite measure μ\mu

Let XX be a measurable space and μ\mu be a finite measure on XX. Let f:X→Cf : X \to \mathbb{C} be a complex-valued function. If ff is integrable with respect to μ\mu, then ff is also integrable with respect to the complex-valued measure obtained by post-composing the real-valued signed measure μ\mu with the continuous R\mathbb{R}-linear map L:R→CL: \mathbb{R} \to \mathbb{C} defined by L(r)=irL(r) = ir.

theorem

L(μ−ν)=Lμ−LνL(\mu - \nu) = L\mu - L\nu for finite measures and linear maps

Let XX be a measurable space and let μ\mu and ν\nu be finite measures on XX. Let L:R→CL: \mathbb{R} \to \mathbb{C} be a continuous real-linear map. The complex-valued measure obtained by post-composing the signed measure μ−ν\mu - \nu with LL is equal to the difference of the complex-valued measures obtained by post-composing μ\mu and ν\nu with LL individually: L∘(μ−ν)=(L∘μ)−(L∘ν) L \circ (\mu - \nu) = (L \circ \mu) - (L \circ \nu) where L∘ρL \circ \rho denotes the measure defined by (L∘ρ)(A)=L(ρ(A))(L \circ \rho)(A) = L(\rho(A)) for any measurable set A⊆XA \subseteq X.

theorem

∫f d(c(μ−ν))=c(∫f dμ−∫f dν)\int f \, d(c(\mu - \nu)) = c \left( \int f \, d\mu - \int f \, d\nu \right) for finite measures μ,ν\mu, \nu

Let (X,M)(X, \mathcal{M}) be a measurable space and let μ\mu and ν\nu be finite measures on XX. Let c∈Rc \in \mathbb{R} be a real scalar and f:X→Cf: X \to \mathbb{C} be a complex-valued function. If ff is integrable with respect to both μ\mu and ν\nu, then the integral of ff with respect to the complex-valued measure obtained by scaling the signed difference μ−ν\mu - \nu by cc is equal to the scaled difference of the individual integrals: ∫Xf d(c(μ−ν))=c(∫Xf dμ−∫Xf dν) \int_X f \, d(c(\mu - \nu)) = c \left( \int_X f \, d\mu - \int_X f \, d\nu \right) where the integral on the left is understood as an integral against a complex measure.

definition

Continuous R\mathbb{R}-linear map z↦izz \mapsto i z

The function is the continuous R\mathbb{R}-linear map from C\mathbb{C} to C\mathbb{C} defined by the assignment z↦izz \mapsto i z, where ii denotes the imaginary unit.

theorem

imaginaryMulCLM(z)=iz\text{imaginaryMulCLM}(z) = i z

For any complex number z∈Cz \in \mathbb{C}, the continuous R\mathbb{R}-linear map imaginaryMulCLM\text{imaginaryMulCLM} evaluated at zz is equal to izi z, where ii denotes the imaginary unit.

definition

Continuous R\mathbb{R}-bilinear pairing (z,r)↦izr(z, r) \mapsto i z r

The continuous R\mathbb{R}-bilinear map from C×R\mathbb{C} \times \mathbb{R} to C\mathbb{C} defined by the assignment (z,r)↦i⋅z⋅r(z, r) \mapsto i \cdot z \cdot r, where zz is a complex number, rr is a real number, and ii denotes the imaginary unit. This map is obtained by post-composing the standard complex-real multiplication pairing with the linear map that performs multiplication by ii.

theorem

The pullback of z⋅wz \cdot w along r↦irr \mapsto ir equals (z,r)↦izr(z, r) \mapsto izr

The pullback of the continuous scalar multiplication map B:C×C→CB: \mathbb{C} \times \mathbb{C} \to \mathbb{C} (defined by (z,w)↦zw(z, w) \mapsto zw) along the map L:R→CL: \mathbb{R} \to \mathbb{C} (defined by r↦irr \mapsto ir) in the second argument is equal to the continuous R\mathbb{R}-bilinear pairing C×R→C\mathbb{C} \times \mathbb{R} \to \mathbb{C} defined by (z,r)↦izr(z, r) \mapsto izr, where ii is the imaginary unit.

theorem

∫f d(iμ)=i∫f dμ\int f \, d(i\mu) = i \int f \, d\mu

Let XX be a measurable space and μ\mu be a finite measure on XX. Let f:X→Cf: X \to \mathbb{C} be a complex-valued function that is integrable with respect to μ\mu. If we define a complex-valued measure iμi\mu by mapping the values of the signed measure μ\mu through the purely imaginary map r↦irr \mapsto ir, then the integral of ff with respect to this measure satisfies: ∫Xf d(iμ)=i∫Xf dμ\int_X f \, d(i\mu) = i \int_X f \, d\mu where ii is the imaginary unit.

theorem

∫f d(ic(μ−ν))=ci(∫f dμ−∫f dν)\int f \, d(ic(\mu - \nu)) = ci(\int f \, d\mu - \int f \, d\nu)

Let XX be a measurable space and let μ\mu and ν\nu be finite measures on XX. For any real scalar c∈Rc \in \mathbb{R} and any complex-valued function f:X→Cf: X \to \mathbb{C} that is integrable with respect to both μ\mu and ν\nu, the integral of ff with respect to the complex measure obtained by mapping the signed measure c(μ−ν)c(\mu - \nu) through the map r↦irr \mapsto ir is: ∫Xf d(i⋅c(μ−ν))=c⋅i(∫Xf dμ−∫Xf dν)\int_X f \, d(i \cdot c(\mu - \nu)) = c \cdot i \left( \int_X f \, d\mu - \int_X f \, d\nu \right) where ii is the imaginary unit.

theorem

Finite signed measures s,ts, t imply finiteness of the complex measure s+its + it

Let XX be a measurable space. If ss and tt are signed measures on XX such that their total variations are finite, then the complex measure formed by ss as the real part and tt as the imaginary part is also a finite complex measure (i.e., its total variation is finite).

theorem

Norm squared estimate for positive contractions: ∥Ax∥2≤Re⟨x,Ax⟩\|Ax\|^2 \le \text{Re} \langle x, Ax \rangle for 0≤A≤I0 \le A \le I

Let HH be a complex Hilbert space. For any bounded linear operator AA on HH such that 0≤A≤I0 \le A \le I in the Loewner order (where II is the identity operator), and for any vector x∈Hx \in H, the following inequality holds: ∥Ax∥2≤Re⟨x,Ax⟩\|Ax\|^2 \le \text{Re} \langle x, Ax \rangle where ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle denotes the inner product on HH.

definition

Real-to-complex embedding for continuous functions on σ(U)\sigma(U)

Given a bounded normal operator UU on a complex Hilbert space HH, let σ(U)\sigma(U) denote its spectrum. This function maps a real-valued, compactly supported continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R} to its corresponding complex-valued continuous function in C(σ(U),C)C(\sigma(U), \mathbb{C}). This explicit mapping is used to facilitate the Riesz–Markov–Kakutani representation theorem by avoiding implicit coercions between real and complex scalars.

theorem

Evaluation of the real-to-complex continuous map ι(f)\iota(f) at z∈σ(U)z \in \sigma(U) equals f(z)f(z)

Let UU be a bounded normal operator on a complex Hilbert space, and let σ(U)\sigma(U) denote its spectrum. Let f:σ(U)→Rf: \sigma(U) \to \mathbb{R} be a real-valued, compactly supported continuous function. If ι(f):σ(U)→C\iota(f): \sigma(U) \to \mathbb{C} is the image of ff under the real-to-complex embedding map, then for any point z∈σ(U)z \in \sigma(U), the value of the resulting complex function evaluated at zz is equal to the value of the original function ff at zz, i.e., (ι(f))(z)=f(z)(\iota(f))(z) = f(z).

theorem

Additivity of the real-to-complex embedding for continuous functions on σ(U)\sigma(U)

Let UU be a bounded normal operator on a complex Hilbert space and let σ(U)\sigma(U) denote its spectrum. Let ι:Cc(σ(U),R)→C(σ(U),C)\iota: C_c(\sigma(U), \mathbb{R}) \to C(\sigma(U), \mathbb{C}) be the map that embeds a real-valued compactly supported continuous function into the space of complex-valued continuous functions. For any two such functions ff and gg, it holds that ι(f+g)=ι(f)+ι(g).\iota(f + g) = \iota(f) + \iota(g).

theorem

Real scalar multiplication commutes with the real-to-complex mapping: ι(r⋅f)=r⋅ι(f)\iota(r \cdot f) = r \cdot \iota(f)

Let UU be a bounded normal operator on a complex Hilbert space and σ(U)⊂C\sigma(U) \subset \mathbb{C} denote its spectrum. Let ι:Cc(σ(U),R)→C(σ(U),C)\iota: C_c(\sigma(U), \mathbb{R}) \to C(\sigma(U), \mathbb{C}) be the embedding that maps a real-valued, compactly supported continuous function on the spectrum to its complex-valued counterpart. For any real scalar r∈Rr \in \mathbb{R} and any function f∈Cc(σ(U),R)f \in C_c(\sigma(U), \mathbb{R}), the map ι\iota satisfies the homogeneity property: ι(r⋅f)=r⋅ι(f)\iota(r \cdot f) = r \cdot \iota(f) where the scalar rr on the right-hand side is treated as a complex number.

definition

Continuous functional calculus for a real-valued function f(U)f(U)

Given a bounded normal operator UU on a complex Hilbert space HH and its spectrum σ(U)\sigma(U), this definition constructs the operator f(U)f(U) by applying the continuous functional calculus to a real-valued continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R}. Although ff is real-valued, it is treated as a complex-valued function to utilize the standard complex continuous functional calculus, resulting in a continuous linear operator f(U)∈L(H)f(U) \in \mathcal{L}(H).

theorem

f(U)f(U) is Self-Adjoint for Real-Valued ff

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any real-valued continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R} (with compact support), the operator f(U)f(U) obtained via the continuous functional calculus is self-adjoint.

theorem

f≥0  ⟹  f(U)f \geq 0 \implies f(U) is a positive operator

Let UU be a bounded normal operator on a complex Hilbert space HH, and let σ(U)\sigma(U) denote its spectrum. Suppose f:σ(U)→Rf: \sigma(U) \to \mathbb{R} is a continuous function with compact support. If f(z)≥0f(z) \geq 0 for all z∈σ(U)z \in \sigma(U), then the operator f(U)f(U), defined via the continuous functional calculus, is a positive operator, meaning that ⟨x,f(U)x⟩≥0\langle x, f(U)x \rangle \geq 0 for all x∈Hx \in H.

definition

Positive linear functional f↦Re⟨x,f(U)x⟩f \mapsto \text{Re} \langle x, f(U) x \rangle associated with a vector xx

Given a bounded normal operator UU on a complex Hilbert space HH with spectrum σ(U)\sigma(U), and a vector x∈Hx \in H, this definition constructs a positive linear functional on the space of continuous real-valued functions C(σ(U),R)C(\sigma(U), \mathbb{R}). The functional maps a function ff to the real part of the inner product Re⟨x,f(U)x⟩\text{Re} \langle x, f(U) x \rangle. This functional represents the vector state of the continuous functional calculus restricted to real-valued test functions and provides the necessary input for the Riesz–Markov–Kakutani representation theorem to produce a scalar measure.

theorem

The scalar functional ΛU,x(f)\Lambda_{U,x}(f) equals Re⟨x,f(U)x⟩\text{Re} \langle x, f(U) x \rangle

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any vector x∈Hx \in H and any continuous real-valued function f:σ(U)→Rf: \sigma(U) \to \mathbb{R} with compact support, the value of the associated scalar functional ΛU,x\Lambda_{U,x} evaluated at ff is given by ΛU,x(f)=Re⟨x,f(U)x⟩,\Lambda_{U,x}(f) = \text{Re} \langle x, f(U) x \rangle, where f(U)f(U) is the continuous linear operator obtained by applying the continuous functional calculus to ff, and ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle denotes the inner product on HH.

definition

Scalar spectral measure μx\mu_x for vector xx

Given a bounded normal operator UU on a complex Hilbert space HH and a vector x∈Hx \in H, this is the regular Borel measure μx\mu_x on the spectrum σ(U)\sigma(U) obtained via the Riesz–Markov–Kakutani representation theorem. The measure is associated with the positive linear functional f↦Re⟨x,f(U)x⟩f \mapsto \text{Re} \langle x, f(U) x \rangle for real-valued continuous functions f∈C(σ(U),R)f \in C(\sigma(U), \mathbb{R}). It satisfies the property that for any such ff, the integral ∫σ(U)f dμx\int_{\sigma(U)} f \, d\mu_x equals the real part of the expectation value of the operator f(U)f(U) in the state xx.

instance

The scalar spectral measure μx\mu_x is finite

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vector x∈Hx \in H, the scalar spectral measure μx\mu_x (defined on the spectrum σ(U)\sigma(U) via the Riesz–Markov–Kakutani representation theorem) is a finite measure.

theorem

∫f dμx=Re⟨x,f(U)x⟩\int f \, d\mu_x = \text{Re} \langle x, f(U)x \rangle for real-valued continuous functions ff

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vector x∈Hx \in H and any real-valued continuous function ff on the spectrum σ(U)\sigma(U), the integral of ff with respect to the scalar spectral measure μx\mu_x is equal to the real part of the inner product of xx and f(U)xf(U)x: ∫σ(U)f(z) dμx(z)=Re⟨x,f(U)x⟩ \int_{\sigma(U)} f(z) \, d\mu_x(z) = \text{Re} \langle x, f(U)x \rangle where f(U)f(U) is the operator obtained via the continuous functional calculus and ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle denotes the inner product on HH.

theorem

∫f dμx=⟨f(U)x,x⟩\int f \, d\mu_x = \langle f(U)x, x \rangle for real-valued continuous functions ff

Let UU be a bounded normal operator on a complex Hilbert space HH, and let x∈Hx \in H be a vector. Let μx\mu_x denote the scalar spectral measure on the spectrum σ(U)\sigma(U) associated with xx. For any real-valued continuous function ff on σ(U)\sigma(U), the integral of ff with respect to μx\mu_x satisfies the identity: ∫σ(U)f(z) dμx(z)=⟨f(U)x,x⟩ \int_{\sigma(U)} f(z) \, d\mu_x(z) = \langle f(U)x, x \rangle where f(U)f(U) is the operator obtained via the continuous functional calculus and ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle is the inner product on HH.

definition

Polarized spectral integral ∫f dμx,y\int f \, d\mu_{x,y} for real-valued ff

Let UU be a bounded normal operator on a complex Hilbert space HH. For a real-valued continuous function ff on the spectrum σ(U)\sigma(U) and any two vectors x,y∈Hx, y \in H, the polarized integral is defined by the complex number: 14(∫σ(U)f dμx+y−∫σ(U)f dμx−y)+i4(∫σ(U)f dμx+iy−∫σ(U)f dμx−iy) \frac{1}{4} \left( \int_{\sigma(U)} f \, d\mu_{x+y} - \int_{\sigma(U)} f \, d\mu_{x-y} \right) + \frac{i}{4} \left( \int_{\sigma(U)} f \, d\mu_{x+iy} - \int_{\sigma(U)} f \, d\mu_{x-iy} \right) where μv\mu_v denotes the scalar spectral measure (the `cfcScalarMeasure`) associated with the vector v∈Hv \in H. This construction uses the polarization identity to extend the quadratic form x↦∫f dμxx \mapsto \int f \, d\mu_x into a sesquilinear form, which corresponds to the inner product ⟨y,f(U)x⟩\langle y, f(U)x \rangle.

theorem

∫f dμx,y=⟨y,f(U)x⟩\int f \, d\mu_{x,y} = \langle y, f(U)x \rangle for real-valued continuous functions ff

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any real-valued continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R} and any vectors x,y∈Hx, y \in H, the polarized spectral integral of ff associated with xx and yy is equal to the inner product of yy and f(U)xf(U)x: ∫σ(U)f dμx,y=⟨y,f(U)x⟩ \int_{\sigma(U)} f \, d\mu_{x,y} = \langle y, f(U)x \rangle where f(U)f(U) is the operator obtained via the continuous functional calculus and μx,y\mu_{x,y} is the polarized complex spectral measure.

definition

Spectral data for the continuous functional calculus of UU

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. The spectral data for the continuous functional calculus of UU consists of a family of regular Borel measures {μx}x∈H\{\mu_x\}_{x \in H} defined on the spectrum σ(U)\sigma(U). These measures satisfy the identity ∫σ(U)f dμx=Re⟨x,f(U)x⟩ \int_{\sigma(U)} f \, d\mu_x = \text{Re} \langle x, f(U) x \rangle for every real-valued continuous function f∈C(σ(U),R)f \in C(\sigma(U), \mathbb{R}), where f(U)f(U) is the operator assigned to ff by the continuous functional calculus.

theorem

Parallelogram identity for scalar spectral measures: μx+y+μx−y=2μx+2μy\mu_{x+y} + \mu_{x-y} = 2\mu_x + 2\mu_y

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vector x∈Hx \in H, let μx\mu_x denote the scalar spectral measure on the spectrum σ(U)\sigma(U) associated with xx. For any two vectors x,y∈Hx, y \in H, the measures satisfy the parallelogram identity: μx+y+μx−y=2μx+2μy\mu_{x+y} + \mu_{x-y} = 2\mu_x + 2\mu_y

theorem

μ−x=μx\mu_{-x} = \mu_x for the scalar spectral measure

Let UU be a bounded normal operator on a complex Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the scalar spectral measure on the spectrum σ(U)\sigma(U) associated with UU and xx (defined via the Riesz–Markov–Kakutani representation theorem and the continuous functional calculus). Then the measure associated with the negation of xx is equal to the measure associated with xx, i.e., μ−x=μx\mu_{-x} = \mu_x.

theorem

μix=μx\mu_{ix} = \mu_x

Let UU be a bounded normal operator on a complex Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the scalar spectral measure associated with xx and UU on the spectrum σ(U)\sigma(U). Then, the measure associated with the vector i⋅xi \cdot x is equal to the measure associated with xx, that is, μix=μx\mu_{ix} = \mu_x, where ii is the imaginary unit.

definition

Polarized complex spectral measure μx,y\mu_{x,y} for vectors x,yx, y

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any two vectors x,y∈Hx, y \in H, the **polarized complex spectral measure** μx,y\mu_{x, y} is a complex Borel measure on the spectrum σ(U)\sigma(U) defined via the polarization identity: μx,y=14(μx+y−μx−y)+i4(μx+iy−μx−iy) \mu_{x, y} = \frac{1}{4} \left( \mu_{x+y} - \mu_{x-y} \right) + \frac{i}{4} \left( \mu_{x+iy} - \mu_{x-iy} \right) where μv\mu_v is the scalar spectral measure associated with the vector v∈Hv \in H (which represents the functional f↦⟨v,f(U)v⟩f \mapsto \langle v, f(U) v \rangle for continuous functions ff on the spectrum). This complex measure μx,y\mu_{x, y} represents the sesquilinear form associated with the continuous functional calculus, such that for any f∈C(σ(U),C)f \in C(\sigma(U), \mathbb{C}), the integral satisfies ∫σ(U)f dμx,y=⟨y,f(U)x⟩\int_{\sigma(U)} f \, d\mu_{x, y} = \langle y, f(U) x \rangle.

theorem

The total variation of μx,y\mu_{x,y} is finite

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vectors x,y∈Hx, y \in H, let μx,y\mu_{x, y} be the polarized complex spectral measure on the spectrum σ(U)\sigma(U). Then, the total variation ∣μx,y∣|\mu_{x, y}| of this complex measure is a finite measure.

theorem

Integral of ff against polarized spectral measure μx,y\mu_{x,y} equals the polarized integral of scalar measures

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)⊂C\sigma(U) \subset \mathbb{C}. For any vectors x,y∈Hx, y \in H and any real-valued continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R}, the integral of ff (treated as a complex-valued function) with respect to the polarized complex spectral measure μx,y\mu_{x,y} is equal to the polarized integral polarizedCfcRealIntegral(U,f,x,y)\text{polarizedCfcRealIntegral}(U, f, x, y). This polarized integral is defined by: ∫σ(U)f(z) dμx,y(z)=14(∫σ(U)f dμx+y−∫σ(U)f dμx−y)+i4(∫σ(U)f dμx+iy−∫σ(U)f dμx−iy) \int_{\sigma(U)} f(z) \, d\mu_{x,y}(z) = \frac{1}{4} \left( \int_{\sigma(U)} f \, d\mu_{x+y} - \int_{\sigma(U)} f \, d\mu_{x-y} \right) + \frac{i}{4} \left( \int_{\sigma(U)} f \, d\mu_{x+iy} - \int_{\sigma(U)} f \, d\mu_{x-iy} \right) where μv\mu_v is the scalar spectral measure associated with the vector v∈Hv \in H, representing the functional g↦⟨v,g(U)v⟩g \mapsto \langle v, g(U) v \rangle.

theorem

Integral of ff against μx,y\mu_{x, y} is ⟨y,f(U)x⟩\langle y, f(U)x \rangle

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any real-valued continuous function f:σ(U)→Rf: \sigma(U) \to \mathbb{R} and any vectors x,y∈Hx, y \in H, the integral of ff (treated as a complex-valued function) with respect to the polarized complex spectral measure μx,y\mu_{x, y} is equal to the inner product of yy and f(U)xf(U)x: ∫σ(U)f(z) dμx,y(z)=⟨y,f(U)x⟩\int_{\sigma(U)} f(z) \, d\mu_{x, y}(z) = \langle y, f(U)x \rangle where f(U)f(U) is the operator defined by the continuous functional calculus for ff.

theorem

Polarization Identity for the Complex Spectral Measure μx,y\mu_{x,y}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any vectors x,y∈Hx, y \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the value of the polarized complex spectral measure μx,y\mu_{x,y} on SS is given by the polarization identity: μx,y(S)=14(μx+y(S)−μx−y(S))+i4(μx+iy(S)−μx−iy(S))\mu_{x,y}(S) = \frac{1}{4} \left( \mu_{x+y}(S) - \mu_{x-y}(S) \right) + \frac{i}{4} \left( \mu_{x+iy}(S) - \mu_{x-iy}(S) \right) where μv\mu_v denotes the scalar spectral measure on σ(U)\sigma(U) associated with the vector v∈Hv \in H, and ii is the imaginary unit.

theorem

Parallelogram Law for Scalar Spectral Measures

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vectors a,b∈Ha, b \in H and any subset S⊆σ(U)S \subseteq \sigma(U) of the spectrum of UU, the scalar spectral measures μx\mu_x (defined by the continuous functional calculus) satisfy the real-valued parallelogram law: μa+b(S)+μa−b(S)=2μa(S)+2μb(S)\mu_{a+b}(S) + \mu_{a-b}(S) = 2\mu_a(S) + 2\mu_b(S) This identity serves as the algebraic basis for proving the sesquilinearity of the associated polarized complex measures.

theorem

μ−a=μa\mu_{-a} = \mu_a for scalar spectral measures

Let UU be a bounded normal operator on a complex Hilbert space HH, and let σ(U)\sigma(U) denote its spectrum. For any vector a∈Ha \in H, let μa\mu_a be the scalar spectral measure on σ(U)\sigma(U) associated with aa. Then for any measurable set S⊆σ(U)S \subseteq \sigma(U), the measure of SS with respect to the vector −a-a is equal to the measure of SS with respect to the vector aa, i.e., μ−a(S)=μa(S)\mu_{-a}(S) = \mu_a(S).

theorem

μia=μa\mu_{ia} = \mu_a for scalar spectral measures

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let σ(U)\sigma(U) denote the spectrum of UU, and for any vector x∈Hx \in H, let μx\mu_x be the scalar spectral measure on σ(U)\sigma(U) associated with xx via the continuous functional calculus. For any vector a∈Ha \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the measure of SS with respect to the vector i⋅ai \cdot a is equal to the measure of SS with respect to aa, where ii is the imaginary unit. That is, μia(S)=μa(S)\mu_{ia}(S) = \mu_a(S)

theorem

The scalar spectral measure μa\mu_a is non-negative (μa(S)≥0\mu_a(S) \geq 0)

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let σ(U)\sigma(U) be the spectrum of UU. For any vector a∈Ha \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the scalar spectral measure μa\mu_a (associated with the vector aa and the operator UU via the continuous functional calculus) is non-negative, such that μa(S)≥0\mu_a(S) \geq 0.

theorem

The total mass of the scalar spectral measure μx\mu_x is ∥x∥2\|x\|^2

Let UU be a bounded normal operator on a complex Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the real-valued scalar spectral measure on the spectrum σ(U)\sigma(U) associated with the vector state at xx. The total mass of this measure (the value of the measure on the entire spectrum σ(U)\sigma(U)) is equal to the squared norm of the vector, i.e., μx(σ(U))=∥x∥2\mu_x(\sigma(U)) = \|x\|^2

theorem

The scalar spectral measure of any set is bounded by ∥a∥2\|a\|^2

Let UU be a bounded normal operator on a complex Hilbert space HH, and let σ(U)\sigma(U) denote its spectrum. For any vector a∈Ha \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the scalar spectral measure μa\mu_a associated with aa satisfies μa(S)≤∥a∥2.\mu_a(S) \leq \|a\|^2.

theorem

Symmetry of the real polarization μa+b−μa−b\mu_{a+b} - \mu_{a-b} for scalar spectral measures

Let UU be a bounded normal operator on a complex Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the scalar spectral measure on the spectrum σ(U)\sigma(U) (associated with the functional f↦⟨x,f(U)x⟩f \mapsto \langle x, f(U) x \rangle). For any vectors a,b∈Ha, b \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the real polarization of these measures is symmetric in aa and bb: μa+b(S)−μa−b(S)=μb+a(S)−μb−a(S)\mu_{a+b}(S) - \mu_{a-b}(S) = \mu_{b+a}(S) - \mu_{b-a}(S)

theorem

First-argument additivity of the real polarization for spectral measures

Let UU be a bounded normal operator on a complex Hilbert space HH, and let σ(U)\sigma(U) be its spectrum. For any vector v∈Hv \in H, let μv\mu_v denote the scalar spectral measure on σ(U)\sigma(U) associated with vv (representing the functional f↦⟨v,f(U)v⟩f \mapsto \langle v, f(U) v \rangle). For any vectors x,y,z∈Hx, y, z \in H and any subset S⊆σ(U)S \subseteq \sigma(U), the real part of the spectral measures satisfies the following polarization identity: μx+y+z(S)−μx+y−z(S)=(μx+z(S)−μx−z(S))+(μy+z(S)−μy−z(S)) \mu_{x+y+z}(S) - \mu_{x+y-z}(S) = (\mu_{x+z}(S) - \mu_{x-z}(S)) + (\mu_{y+z}(S) - \mu_{y-z}(S)) This identity establishes the additivity of the real polarization form in its first argument.

theorem

Second-Argument Additivity of Real Polarized Scalar Spectral Measures

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let σ(U)\sigma(U) denote the spectrum of UU. For any vector x∈Hx \in H, let μx\mu_x be the scalar spectral measure on σ(U)\sigma(U) (the regular Borel measure associated with the positive linear functional f↦Re⟨x,f(U)x⟩f \mapsto \text{Re} \langle x, f(U) x \rangle for real-valued continuous functions ff). For any vectors a,b,c∈Ha, b, c \in H and any subset S⊆σ(U)S \subseteq \sigma(U), the real polarization of these measures satisfies additivity in the second argument: μa+(b+c)(S)−μa−(b+c)(S)=(μa+b(S)−μa−b(S))+(μa+c(S)−μa−c(S)) \mu_{a + (b + c)}(S) - \mu_{a - (b + c)}(S) = (\mu_{a + b}(S) - \mu_{a - b}(S)) + (\mu_{a + c}(S) - \mu_{a - c}(S))

theorem

Right Additivity of the Polarized Complex Spectral Measure: μx,y1+y2=μx,y1+μx,y2\mu_{x, y_1 + y_2} = \mu_{x, y_1} + \mu_{x, y_2}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). Let μx,y\mu_{x, y} denote the polarized complex spectral measure for vectors x,y∈Hx, y \in H. For any vectors x,y1,y2∈Hx, y_1, y_2 \in H and any measurable subset S⊆σ(U)S \subseteq \sigma(U), the measure satisfies the following additivity property in its second argument: μx,y1+y2(S)=μx,y1(S)+μx,y2(S)\mu_{x, y_1 + y_2}(S) = \mu_{x, y_1}(S) + \mu_{x, y_2}(S)

theorem

Additivity of the polarized spectral measure μx,y\mu_{x, y} in its first vector argument

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let σ(U)\sigma(U) denote the spectrum of UU. For any vectors x1,x2,y∈Hx_1, x_2, y \in H and any measurable subset S⊆σ(U)S \subseteq \sigma(U), let μx,y\mu_{x, y} be the polarized complex spectral measure associated with the continuous functional calculus of UU. The measure satisfies additivity in its first vector argument: μx1+x2,y(S)=μx1,y(S)+μx2,y(S) \mu_{x_1 + x_2, y}(S) = \mu_{x_1, y}(S) + \mu_{x_2, y}(S)

theorem

μx,iy=−iμx,y\mu_{x, iy} = -i \mu_{x, y}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vectors x,y∈Hx, y \in H and any measurable set SS in the spectrum σ(U)\sigma(U), the polarized complex spectral measure μx,y\mu_{x, y} satisfies μx,iy(S)=−iμx,y(S) \mu_{x, i y}(S) = -i \mu_{x, y}(S) where ii is the imaginary unit. This reflects the conjugate-linear nature of the measure with respect to its second vector argument.

theorem

μix,y=iμx,y\mu_{ix, y} = i \mu_{x, y}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let μx,y\mu_{x, y} denote the polarized complex spectral measure on the spectrum σ(U)\sigma(U) associated with vectors x,y∈Hx, y \in H. For any measurable set S⊆σ(U)S \subseteq \sigma(U), multiplying the first vector xx by the imaginary unit ii results in the measure being multiplied by ii: μix,y(S)=iμx,y(S) \mu_{ix, y}(S) = i \mu_{x, y}(S)

theorem

Norm bound ∥μx,y(S)∥≤∥x∥2+∥y∥2\|\mu_{x, y}(S)\| \leq \|x\|^2 + \|y\|^2 for the polarized complex spectral measure

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any vectors x,y∈Hx, y \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the polarized complex spectral measure μx,y\mu_{x, y} satisfies the bound: ∥μx,y(S)∥≤∥x∥2+∥y∥2\|\mu_{x, y}(S)\| \leq \|x\|^2 + \|y\|^2 where ∥⋅∥\|\cdot\| on the left-hand side denotes the absolute value of the complex measure evaluated at SS, and ∥⋅∥\|\cdot\| on the right-hand side denotes the norm of the vectors in HH. The polarized complex spectral measure μx,y\mu_{x, y} is the unique complex Borel measure such that for any continuous function f∈C(σ(U))f \in C(\sigma(U)), ∫σ(U)f dμx,y=⟨y,f(U)x⟩\int_{\sigma(U)} f \, d\mu_{x, y} = \langle y, f(U) x \rangle.

theorem

An additive function R→C\mathbb{R} \to \mathbb{C} bounded on [−1,1][-1, 1] is R\mathbb{R}-linear

Let φ:R→C\varphi : \mathbb{R} \to \mathbb{C} be an additive function, meaning φ(a+b)=φ(a)+φ(b)\varphi(a + b) = \varphi(a) + \varphi(b) for all a,b∈Ra, b \in \mathbb{R}. If φ\varphi is bounded on the interval [−1,1][-1, 1] (i.e., there exists a constant CC such that ∥φ(t)∥≤C\|\varphi(t)\| \leq C for all t∈Rt \in \mathbb{R} with ∣t∣≤1|t| \leq 1), then for any r∈Rr \in \mathbb{R}, φ(r)=rφ(1)\varphi(r) = r \varphi(1).

theorem

The polarized spectral measure μx,y\mu_{x, y} satisfies μx,ry=rμx,y\mu_{x, ry} = r \mu_{x, y} for r∈Rr \in \mathbb{R}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH with spectrum σ(U)\sigma(U). For any vectors x,y∈Hx, y \in H, let μx,y\mu_{x, y} denote the polarized complex spectral measure on σ(U)\sigma(U). For any real number r∈Rr \in \mathbb{R} and any measurable set S⊆σ(U)S \subseteq \sigma(U), it holds that μx,ry(S)=rμx,y(S) \mu_{x, ry}(S) = r \mu_{x, y}(S) where ryry denotes the scalar multiplication of the vector yy by rr.

theorem

μrx,y=rμx,y\mu_{rx, y} = r \mu_{x, y} for r∈Rr \in \mathbb{R}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vectors x,y∈Hx, y \in H and any real scalar r∈Rr \in \mathbb{R}, let μx,y\mu_{x, y} denote the polarized complex spectral measure on the spectrum σ(U)\sigma(U). For any measurable set S⊆σ(U)S \subseteq \sigma(U), the measure satisfies: μrx,y(S)=rμx,y(S)\mu_{rx, y}(S) = r \mu_{x, y}(S) where rr on the right-hand side is treated as a complex number. This property expresses the homogeneity of the polarized spectral measure with respect to real scaling of the first vector.

theorem

Complex Polarization Identity for Bounded Operators

Let HH be a complex Hilbert space and A:H→HA : H \to H be a bounded linear operator. For any vectors x,y∈Hx, y \in H, the complex inner product ⟨Ay,x⟩C\langle Ay, x \rangle_{\mathbb{C}} satisfies the polarization identity: ⟨Ay,x⟩C=14(⟨A(x+y),x+y⟩C−⟨A(x−y),x−y⟩C+i⟨A(x+iy),x+iy⟩C−i⟨A(x−iy),x−iy⟩C)\langle Ay, x \rangle_{\mathbb{C}} = \frac{1}{4} \left( \langle A(x + y), x + y \rangle_{\mathbb{C}} - \langle A(x - y), x - y \rangle_{\mathbb{C}} + i \langle A(x + iy), x + iy \rangle_{\mathbb{C}} - i \langle A(x - iy), x - iy \rangle_{\mathbb{C}} \right) where ii denotes the imaginary unit.

theorem

μcx,y=cμx,y\mu_{cx, y} = c \mu_{x, y} for the polarized complex spectral measure

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let μx,y\mu_{x, y} denote the polarized complex spectral measure on the spectrum σ(U)\sigma(U) associated with vectors x,y∈Hx, y \in H. For any complex scalar c∈Cc \in \mathbb{C}, vectors x,y∈Hx, y \in H, and measurable set S⊆σ(U)S \subseteq \sigma(U), the measure satisfies: μcx,y(S)=cμx,y(S)\mu_{c x, y}(S) = c \mu_{x, y}(S) where cxc x denotes the scalar multiplication of xx by cc.

theorem

Conjugate Linearity of the Polarized Spectral Measure μx,y\mu_{x, y} in the Second Argument (μx,cy=cˉμx,y\mu_{x, cy} = \bar{c} \mu_{x, y})

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let μx,y\mu_{x, y} denote the polarized complex spectral measure on the spectrum σ(U)\sigma(U) associated with vectors x,y∈Hx, y \in H. For any complex scalar c∈Cc \in \mathbb{C} and any Borel measurable set S⊆σ(U)S \subseteq \sigma(U), the measure satisfies: μx,c⋅y(S)=cˉ⋅μx,y(S)\mu_{x, c \cdot y}(S) = \bar{c} \cdot \mu_{x, y}(S) where cˉ\bar{c} denotes the complex conjugate of cc.

theorem

The polarized complex spectral measure μ0,y\mu_{0, y} is zero for any yy

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let σ(U)\sigma(U) denote the spectrum of UU. For any vector y∈Hy \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the polarized complex spectral measure μx,y\mu_{x, y} associated with the zero vector x=0x = 0 and the vector yy satisfies μ0,y(S)=0\mu_{0, y}(S) = 0.

theorem

The polarized spectral measure μx,0\mu_{x, 0} is zero for any xx

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. Let μx,y\mu_{x, y} denote the polarized complex spectral measure on the spectrum σ(U)\sigma(U) associated with vectors x,y∈Hx, y \in H. For any vector x∈Hx \in H and any measurable set S⊆σ(U)S \subseteq \sigma(U), the measure evaluated at the pair (x,0)(x, 0) is zero: μx,0(S)=0 \mu_{x, 0}(S) = 0

theorem

∥μx,y(S)∥≤2∥x∥∥y∥\|\mu_{x, y}(S)\| \leq 2 \|x\| \|y\| for the polarized spectral measure

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any vectors x,y∈Hx, y \in H and any measurable subset SS of the spectrum σ(U)\sigma(U), the polarized complex spectral measure μx,y\mu_{x, y} satisfies the inequality ∥μx,y(S)∥≤2∥x∥∥y∥ \|\mu_{x, y}(S)\| \leq 2 \|x\| \|y\| where μx,y\mu_{x, y} is the complex Borel measure representing the sesquilinear form associated with the continuous functional calculus of UU.

definition

Algebraic sesquilinear form of the spectral measure μx,y(S)‾\overline{\mu_{x,y}(S)}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For a measurable set S⊆σ(U)S \subseteq \sigma(U) within the spectrum of UU, `cfcSesquilinearFormAux` is the algebraic sesquilinear form BS:H×H→CB_S : H \times H \to \mathbb{C} defined by BS(x,y)=μx,y(S)‾ B_S(x, y) = \overline{\mu_{x, y}(S)} where μx,y\mu_{x, y} is the polarized complex spectral measure associated with the vectors xx and yy. This form is conjugate-linear in the first argument xx and linear in the second argument yy, representing the inner product ⟨E(S)x,y⟩\langle E(S)x, y \rangle where EE is the spectral measure (resolution of the identity) of UU.

theorem

BS(x,y)=μx,y(S)‾B_S(x, y) = \overline{\mu_{x, y}(S)}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any measurable subset S⊆σ(U)S \subseteq \sigma(U) of the spectrum of UU and any vectors x,y∈Hx, y \in H, the algebraic sesquilinear form BS(x,y)B_S(x, y) (defined by `cfcSesquilinearFormAux`) is equal to the complex conjugate of the polarized complex spectral measure μx,y\mu_{x, y} evaluated on SS, denoted by μx,y(S)‾\overline{\mu_{x, y}(S)}.

definition

Continuous sesquilinear form BS(x,y)=μx,y(S)‾B_S(x, y) = \overline{\mu_{x, y}(S)}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For a measurable set S⊆σ(U)S \subseteq \sigma(U) within the spectrum of UU, `cfcSesquilinearForm` is the continuous sesquilinear form BS:H×H→CB_S : H \times H \to \mathbb{C} defined by BS(x,y)=μx,y(S)‾ B_S(x, y) = \overline{\mu_{x, y}(S)} where μx,y(S)\mu_{x, y}(S) is the polarized complex scalar measure associated with the vectors x,yx, y and the operator UU, which corresponds to the value ⟨x,1S(U)y⟩\langle x, \mathbb{1}_S(U) y \rangle in the continuous functional calculus. This form is continuous, conjugate-linear in the first argument xx, and linear in the second argument yy.

theorem

BS(x,y)=μx,y(S)‾B_S(x, y) = \overline{\mu_{x, y}(S)}

Let HH be a complex Hilbert space and UU be a bounded normal operator on HH. For any measurable set S⊆σ(U)S \subseteq \sigma(U) in the spectrum of UU and any vectors x,y∈Hx, y \in H, the value of the continuous sesquilinear form BS(x,y)B_S(x, y) (defined by `cfcSesquilinearForm`) is equal to the complex conjugate of the polarized complex spectral measure μx,y\mu_{x, y} evaluated on SS: BS(x,y)=μx,y(S)‾ B_S(x, y) = \overline{\mu_{x, y}(S)}