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
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Regular Borel measure associated with a positive functional
For a compact positive linear functional defined on the space of compactly supported continuous functions , this is the unique regular Borel measure on such that for every , the integral of with respect to equals the value of the functional applied to :
The measure associated with a compact positive functional is regular
Let be a topological space and be a compact positive linear functional on the space of compactly supported continuous functions . Let be the unique Borel measure on such that for every , the integral of with respect to is equal to the value of the functional applied to : Then, the measure is a regular measure.
Let be a topological space and be a compact positive linear functional on the space of compactly supported continuous functions . Let be the regular Borel measure associated with . For any function , the integral of with respect to is equal to the value of the functional applied to :
if vanishes on
Let be a topological space and be a compact positive functional on the space of compactly supported continuous functions . Let be the regular Borel measure associated with , defined such that for all . For any function and any measurable set , if for all , then the integral of with respect to the restriction of the measure to is zero:
for Positive Functionals
Let be a topological space. Let and be compact positive linear functionals on the space of compactly supported continuous functions . If for all , then their associated regular Borel measures and (defined such that ) are equal.
Pullback of a bilinear pairing along in its second argument
Given a continuous linear map and a continuous bilinear map (where is the space of continuous linear maps from to over ), this definition constructs a new continuous bilinear map . For any , the resulting linear map from to is the composition of followed by the linear map . In other words, it maps to .
for vector measures
Let be a measurable space, and let and be real normed spaces. Let be a vector measure on with values in , be a continuous -linear map, and be a continuous bilinear pairing. Let denote the vector measure taking values in obtained by composing with (i.e., for any measurable set ). Then, the transpose of with respect to the pairing is equal to the transpose of with respect to the pullback pairing , where the pullback pairing is defined as .
Let be a measurable space and be normed real vector spaces. Let be an -valued vector measure on , be a continuous -linear map, and be a continuous -bilinear map. Let be a function. If is integrable with respect to and also integrable with respect to the transformed measure (the vector measure obtained by post-composing with ), then: where is the "pulled-back" bilinear pairing defined by .
Continuous -bilinear pairing
This is the continuous -bilinear pairing between complex numbers and real numbers. Specifically, it is the map which, for a complex number and a real number , returns the product . This pairing is used to integrate complex-valued functions against real signed measures.
Postcomposition of a bilinear pairing with a linear map
Let , and be normed real vector spaces. Given a continuous bilinear pairing and a continuous linear map , the function returns a new continuous bilinear pairing defined by for all and .
Let be a measurable space, and let , and be normed real vector spaces. Let be an -valued vector measure on . Given a continuous bilinear pairing and a continuous linear map , we define a post-composed pairing by . For any set and vector , the transpose operation satisfies the following identity: In this context, the transpose operation represents the evaluation of the pairing between the vector and the value of the measure on the set .
`setToL1S` commutes with continuous linear maps
Let be a measurable space and , and be normed real vector spaces. Let and be set functions taking values in the space of continuous linear maps. Let be a continuous linear map. If for every measurable set and every vector , the condition is satisfied, then for any simple function with respect to a measure , we have: where is the operator that integrates a simple function with respect to a set-indexed linear operator.
Integration Commutes with Continuous Linear Maps
Let be a measurable space with a measure . Let be a real normed space, and let and be real Banach spaces. Suppose and are dominated finite-measure additive set functions (with respect to ) that map sets to continuous linear operators. If is a continuous linear map such that for every measurable set and every , the condition holds, then for any function in the space , the integration operator `setToL1` satisfies:
Integration commutes with continuous linear maps **OR**
Let be a measurable space equipped with a measure . Let , , and be real normed spaces, where and are complete. Suppose and are additive set functions that are dominated by (specifically, they satisfy the `DominatedFinMeasAdditive` condition). Let be a continuous linear map such that for every measurable set and every , . Then for any -integrable function , the generalized integral of with respect to satisfies where denotes the value of `MeasureTheory.setToFun` for the function and set function .
Let be a measurable space. Let , and be normed real vector spaces, where and are complete (Banach spaces). Let be an -valued vector measure on . Let be a continuous bilinear pairing and be a continuous linear map. If is a function integrable with respect to , then applying to the vector integral of with respect to via the pairing is equal to the vector integral of with respect to via the postcomposed pairing : where the pairing is defined by for and .
Continuous linear map
The continuous -linear map from the real numbers to the complex numbers that maps each real number to the purely imaginary number , where is the imaginary unit.
For any real number , the continuous -linear map `imaginaryOfRealCLM` applied to yields , where is the imaginary unit.
Let be a measurable space. For any two signed measures and on , the complex measure constructed from and (denoted as ) is equal to the sum of the signed measure mapped into the complex numbers via the natural inclusion and the signed measure mapped into the complex numbers via the map .
Let be a measurable space and let and be real-valued signed measures on . Let be the complex measure constructed such that is its real part and is its imaginary part. For any complex-valued function , if is integrable with respect to the measures and (viewed as complex measures via the embeddings and respectively), then the integral of with respect to is the sum of the integrals of with respect to these components: In the formal statement, the measure is embedded into the complex plane via the map (`ofRealCLM`) and is embedded via the map (`imaginaryOfRealCLM`).
The pullback of complex multiplication along is the standard complex-real pairing.
Let be the standard inclusion of real numbers into the complex field. Let be the continuous -bilinear map representing complex multiplication, defined by . The pullback of along in its second argument—which is the map —is equal to the standard continuous -bilinear pairing given by .
Integral of a complex function against a real measure embedded in
Let be a measurable space and be a finite measure on . For any complex-valued function that is integrable with respect to , the integral of with respect to the complex measure obtained by mapping the real-valued signed measure into the complex plane via the natural embedding is equal to the integral of with respect to itself. That is, where is the standard inclusion .
Integrability of under the isometric mapping of a finite measure to a complex measure
Let be a measurable space and be a finite measure on . Let be a continuous -linear map that is an isometry, such that for all . If a complex-valued function is integrable with respect to , then is also integrable with respect to the complex measure obtained by mapping the values of (viewed as a signed measure) through .
Integrability of under the real-to-complex embedding of a finite measure
Let be a measurable space and be a finite measure on . Let be a complex-valued function. If is integrable with respect to , then is also integrable with respect to the complex-valued measure obtained by post-composing the real-valued signed measure with the natural inclusion map (where ).
Integrability of under the imaginary mapping of a finite measure
Let be a measurable space and be a finite measure on . Let be a complex-valued function. If is integrable with respect to , then is also integrable with respect to the complex-valued measure obtained by post-composing the real-valued signed measure with the continuous -linear map defined by .
for finite measures and linear maps
Let be a measurable space and let and be finite measures on . Let be a continuous real-linear map. The complex-valued measure obtained by post-composing the signed measure with is equal to the difference of the complex-valued measures obtained by post-composing and with individually: where denotes the measure defined by for any measurable set .
for finite measures
Let be a measurable space and let and be finite measures on . Let be a real scalar and be a complex-valued function. If is integrable with respect to both and , then the integral of with respect to the complex-valued measure obtained by scaling the signed difference by is equal to the scaled difference of the individual integrals: where the integral on the left is understood as an integral against a complex measure.
Continuous -linear map
The function is the continuous -linear map from to defined by the assignment , where denotes the imaginary unit.
For any complex number , the continuous -linear map evaluated at is equal to , where denotes the imaginary unit.
Continuous -bilinear pairing
The continuous -bilinear map from to defined by the assignment , where is a complex number, is a real number, and 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 .
The pullback of along equals
The pullback of the continuous scalar multiplication map (defined by ) along the map (defined by ) in the second argument is equal to the continuous -bilinear pairing defined by , where is the imaginary unit.
Let be a measurable space and be a finite measure on . Let be a complex-valued function that is integrable with respect to . If we define a complex-valued measure by mapping the values of the signed measure through the purely imaginary map , then the integral of with respect to this measure satisfies: where is the imaginary unit.
Let be a measurable space and let and be finite measures on . For any real scalar and any complex-valued function that is integrable with respect to both and , the integral of with respect to the complex measure obtained by mapping the signed measure through the map is: where is the imaginary unit.
Finite signed measures imply finiteness of the complex measure
Let be a measurable space. If and are signed measures on such that their total variations are finite, then the complex measure formed by as the real part and as the imaginary part is also a finite complex measure (i.e., its total variation is finite).
Norm squared estimate for positive contractions: for
Let be a complex Hilbert space. For any bounded linear operator on such that in the Loewner order (where is the identity operator), and for any vector , the following inequality holds: where denotes the inner product on .
Real-to-complex embedding for continuous functions on
Given a bounded normal operator on a complex Hilbert space , let denote its spectrum. This function maps a real-valued, compactly supported continuous function to its corresponding complex-valued continuous function in . This explicit mapping is used to facilitate the Riesz–Markov–Kakutani representation theorem by avoiding implicit coercions between real and complex scalars.
Evaluation of the real-to-complex continuous map at equals
Let be a bounded normal operator on a complex Hilbert space, and let denote its spectrum. Let be a real-valued, compactly supported continuous function. If is the image of under the real-to-complex embedding map, then for any point , the value of the resulting complex function evaluated at is equal to the value of the original function at , i.e., .
Additivity of the real-to-complex embedding for continuous functions on
Let be a bounded normal operator on a complex Hilbert space and let denote its spectrum. Let 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 and , it holds that
Real scalar multiplication commutes with the real-to-complex mapping:
Let be a bounded normal operator on a complex Hilbert space and denote its spectrum. Let be the embedding that maps a real-valued, compactly supported continuous function on the spectrum to its complex-valued counterpart. For any real scalar and any function , the map satisfies the homogeneity property: where the scalar on the right-hand side is treated as a complex number.
Continuous functional calculus for a real-valued function
Given a bounded normal operator on a complex Hilbert space and its spectrum , this definition constructs the operator by applying the continuous functional calculus to a real-valued continuous function . Although 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 .
is Self-Adjoint for Real-Valued
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any real-valued continuous function (with compact support), the operator obtained via the continuous functional calculus is self-adjoint.
is a positive operator
Let be a bounded normal operator on a complex Hilbert space , and let denote its spectrum. Suppose is a continuous function with compact support. If for all , then the operator , defined via the continuous functional calculus, is a positive operator, meaning that for all .
Positive linear functional associated with a vector
Given a bounded normal operator on a complex Hilbert space with spectrum , and a vector , this definition constructs a positive linear functional on the space of continuous real-valued functions . The functional maps a function to the real part of the inner product . 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.
The scalar functional equals
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any vector and any continuous real-valued function with compact support, the value of the associated scalar functional evaluated at is given by where is the continuous linear operator obtained by applying the continuous functional calculus to , and denotes the inner product on .
Scalar spectral measure for vector
Given a bounded normal operator on a complex Hilbert space and a vector , this is the regular Borel measure on the spectrum obtained via the Riesz–Markov–Kakutani representation theorem. The measure is associated with the positive linear functional for real-valued continuous functions . It satisfies the property that for any such , the integral equals the real part of the expectation value of the operator in the state .
The scalar spectral measure is finite
Let be a complex Hilbert space and be a bounded normal operator on . For any vector , the scalar spectral measure (defined on the spectrum via the Riesz–Markov–Kakutani representation theorem) is a finite measure.
for real-valued continuous functions
Let be a complex Hilbert space and be a bounded normal operator on . For any vector and any real-valued continuous function on the spectrum , the integral of with respect to the scalar spectral measure is equal to the real part of the inner product of and : where is the operator obtained via the continuous functional calculus and denotes the inner product on .
for real-valued continuous functions
Let be a bounded normal operator on a complex Hilbert space , and let be a vector. Let denote the scalar spectral measure on the spectrum associated with . For any real-valued continuous function on , the integral of with respect to satisfies the identity: where is the operator obtained via the continuous functional calculus and is the inner product on .
Polarized spectral integral for real-valued
Let be a bounded normal operator on a complex Hilbert space . For a real-valued continuous function on the spectrum and any two vectors , the polarized integral is defined by the complex number: where denotes the scalar spectral measure (the `cfcScalarMeasure`) associated with the vector . This construction uses the polarization identity to extend the quadratic form into a sesquilinear form, which corresponds to the inner product .
for real-valued continuous functions
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any real-valued continuous function and any vectors , the polarized spectral integral of associated with and is equal to the inner product of and : where is the operator obtained via the continuous functional calculus and is the polarized complex spectral measure.
Spectral data for the continuous functional calculus of
Let be a complex Hilbert space and be a bounded normal operator on . The spectral data for the continuous functional calculus of consists of a family of regular Borel measures defined on the spectrum . These measures satisfy the identity for every real-valued continuous function , where is the operator assigned to by the continuous functional calculus.
Parallelogram identity for scalar spectral measures:
Let be a complex Hilbert space and be a bounded normal operator on . For any vector , let denote the scalar spectral measure on the spectrum associated with . For any two vectors , the measures satisfy the parallelogram identity:
for the scalar spectral measure
Let be a bounded normal operator on a complex Hilbert space . For any vector , let denote the scalar spectral measure on the spectrum associated with and (defined via the Riesz–Markov–Kakutani representation theorem and the continuous functional calculus). Then the measure associated with the negation of is equal to the measure associated with , i.e., .
Let be a bounded normal operator on a complex Hilbert space . For any vector , let denote the scalar spectral measure associated with and on the spectrum . Then, the measure associated with the vector is equal to the measure associated with , that is, , where is the imaginary unit.
Polarized complex spectral measure for vectors
Let be a complex Hilbert space and be a bounded normal operator on . For any two vectors , the **polarized complex spectral measure** is a complex Borel measure on the spectrum defined via the polarization identity: where is the scalar spectral measure associated with the vector (which represents the functional for continuous functions on the spectrum). This complex measure represents the sesquilinear form associated with the continuous functional calculus, such that for any , the integral satisfies .
The total variation of is finite
Let be a complex Hilbert space and be a bounded normal operator on . For any vectors , let be the polarized complex spectral measure on the spectrum . Then, the total variation of this complex measure is a finite measure.
Integral of against polarized spectral measure equals the polarized integral of scalar measures
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any vectors and any real-valued continuous function , the integral of (treated as a complex-valued function) with respect to the polarized complex spectral measure is equal to the polarized integral . This polarized integral is defined by: where is the scalar spectral measure associated with the vector , representing the functional .
Integral of against is
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any real-valued continuous function and any vectors , the integral of (treated as a complex-valued function) with respect to the polarized complex spectral measure is equal to the inner product of and : where is the operator defined by the continuous functional calculus for .
Polarization Identity for the Complex Spectral Measure
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any vectors and any measurable set , the value of the polarized complex spectral measure on is given by the polarization identity: where denotes the scalar spectral measure on associated with the vector , and is the imaginary unit.
Parallelogram Law for Scalar Spectral Measures
Let be a complex Hilbert space and be a bounded normal operator on . For any vectors and any subset of the spectrum of , the scalar spectral measures (defined by the continuous functional calculus) satisfy the real-valued parallelogram law: This identity serves as the algebraic basis for proving the sesquilinearity of the associated polarized complex measures.
for scalar spectral measures
Let be a bounded normal operator on a complex Hilbert space , and let denote its spectrum. For any vector , let be the scalar spectral measure on associated with . Then for any measurable set , the measure of with respect to the vector is equal to the measure of with respect to the vector , i.e., .
for scalar spectral measures
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the spectrum of , and for any vector , let be the scalar spectral measure on associated with via the continuous functional calculus. For any vector and any measurable set , the measure of with respect to the vector is equal to the measure of with respect to , where is the imaginary unit. That is,
The scalar spectral measure is non-negative ()
Let be a complex Hilbert space and be a bounded normal operator on . Let be the spectrum of . For any vector and any measurable set , the scalar spectral measure (associated with the vector and the operator via the continuous functional calculus) is non-negative, such that .
The total mass of the scalar spectral measure is
Let be a bounded normal operator on a complex Hilbert space . For any vector , let denote the real-valued scalar spectral measure on the spectrum associated with the vector state at . The total mass of this measure (the value of the measure on the entire spectrum ) is equal to the squared norm of the vector, i.e.,
The scalar spectral measure of any set is bounded by
Let be a bounded normal operator on a complex Hilbert space , and let denote its spectrum. For any vector and any measurable set , the scalar spectral measure associated with satisfies
Symmetry of the real polarization for scalar spectral measures
Let be a bounded normal operator on a complex Hilbert space . For any vector , let denote the scalar spectral measure on the spectrum (associated with the functional ). For any vectors and any measurable set , the real polarization of these measures is symmetric in and :
First-argument additivity of the real polarization for spectral measures
Let be a bounded normal operator on a complex Hilbert space , and let be its spectrum. For any vector , let denote the scalar spectral measure on associated with (representing the functional ). For any vectors and any subset , the real part of the spectral measures satisfies the following polarization identity: This identity establishes the additivity of the real polarization form in its first argument.
Second-Argument Additivity of Real Polarized Scalar Spectral Measures
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the spectrum of . For any vector , let be the scalar spectral measure on (the regular Borel measure associated with the positive linear functional for real-valued continuous functions ). For any vectors and any subset , the real polarization of these measures satisfies additivity in the second argument:
Right Additivity of the Polarized Complex Spectral Measure:
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . Let denote the polarized complex spectral measure for vectors . For any vectors and any measurable subset , the measure satisfies the following additivity property in its second argument:
Additivity of the polarized spectral measure in its first vector argument
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the spectrum of . For any vectors and any measurable subset , let be the polarized complex spectral measure associated with the continuous functional calculus of . The measure satisfies additivity in its first vector argument:
Let be a complex Hilbert space and be a bounded normal operator on . For any vectors and any measurable set in the spectrum , the polarized complex spectral measure satisfies where is the imaginary unit. This reflects the conjugate-linear nature of the measure with respect to its second vector argument.
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the polarized complex spectral measure on the spectrum associated with vectors . For any measurable set , multiplying the first vector by the imaginary unit results in the measure being multiplied by :
Norm bound for the polarized complex spectral measure
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any vectors and any measurable set , the polarized complex spectral measure satisfies the bound: where on the left-hand side denotes the absolute value of the complex measure evaluated at , and on the right-hand side denotes the norm of the vectors in . The polarized complex spectral measure is the unique complex Borel measure such that for any continuous function , .
An additive function bounded on is -linear
Let be an additive function, meaning for all . If is bounded on the interval (i.e., there exists a constant such that for all with ), then for any , .
The polarized spectral measure satisfies for
Let be a complex Hilbert space and be a bounded normal operator on with spectrum . For any vectors , let denote the polarized complex spectral measure on . For any real number and any measurable set , it holds that where denotes the scalar multiplication of the vector by .
for
Let be a complex Hilbert space and be a bounded normal operator on . For any vectors and any real scalar , let denote the polarized complex spectral measure on the spectrum . For any measurable set , the measure satisfies: where 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.
Complex Polarization Identity for Bounded Operators
Let be a complex Hilbert space and be a bounded linear operator. For any vectors , the complex inner product satisfies the polarization identity: where denotes the imaginary unit.
for the polarized complex spectral measure
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the polarized complex spectral measure on the spectrum associated with vectors . For any complex scalar , vectors , and measurable set , the measure satisfies: where denotes the scalar multiplication of by .
Conjugate Linearity of the Polarized Spectral Measure in the Second Argument ()
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the polarized complex spectral measure on the spectrum associated with vectors . For any complex scalar and any Borel measurable set , the measure satisfies: where denotes the complex conjugate of .
The polarized complex spectral measure is zero for any
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the spectrum of . For any vector and any measurable set , the polarized complex spectral measure associated with the zero vector and the vector satisfies .
The polarized spectral measure is zero for any
Let be a complex Hilbert space and be a bounded normal operator on . Let denote the polarized complex spectral measure on the spectrum associated with vectors . For any vector and any measurable set , the measure evaluated at the pair is zero:
for the polarized spectral measure
Let be a complex Hilbert space and be a bounded normal operator on . For any vectors and any measurable subset of the spectrum , the polarized complex spectral measure satisfies the inequality where is the complex Borel measure representing the sesquilinear form associated with the continuous functional calculus of .
Algebraic sesquilinear form of the spectral measure
Let be a complex Hilbert space and be a bounded normal operator on . For a measurable set within the spectrum of , `cfcSesquilinearFormAux` is the algebraic sesquilinear form defined by where is the polarized complex spectral measure associated with the vectors and . This form is conjugate-linear in the first argument and linear in the second argument , representing the inner product where is the spectral measure (resolution of the identity) of .
Let be a complex Hilbert space and be a bounded normal operator on . For any measurable subset of the spectrum of and any vectors , the algebraic sesquilinear form (defined by `cfcSesquilinearFormAux`) is equal to the complex conjugate of the polarized complex spectral measure evaluated on , denoted by .
Continuous sesquilinear form
Let be a complex Hilbert space and be a bounded normal operator on . For a measurable set within the spectrum of , `cfcSesquilinearForm` is the continuous sesquilinear form defined by where is the polarized complex scalar measure associated with the vectors and the operator , which corresponds to the value in the continuous functional calculus. This form is continuous, conjugate-linear in the first argument , and linear in the second argument .
Let be a complex Hilbert space and be a bounded normal operator on . For any measurable set in the spectrum of and any vectors , the value of the continuous sesquilinear form (defined by `cfcSesquilinearForm`) is equal to the complex conjugate of the polarized complex spectral measure evaluated on :
