PhyslibAlpha.AlgebraicFramework.HilbertSpace.Unbounded.ScalarMeasure
Scalar and diagonal measures of a weak spectral measure
Testing `μS : WOTSpectralMeasure α H` against a pair of vectors `x, y : H` gives a complex *scalar* measure `S ↦ ⟪y, μS S x⟫`, and testing against a single vector `x` on the diagonal gives a positive, finite `Measure α`, `x`'s *diagonal* measure `S ↦ ‖μS S x‖² = re ⟪x, μS S x⟫`. These are the measure-theoretic inputs to the bounded spectral integral built in `BoundedIntegral.lean`; they are recorded here first, on their own, because the extensionality principle `ext_of_scalarMeasure_eq` below — a weak spectral measure is determined by all of its scalar matrix-coefficient measures — is the basic uniqueness tool used throughout the rest of this development.
Main definitions
- `scalarMeasure`, `scalarMeasure_apply` : `μS.scalarMeasure x y S = ⟪y, μS S x⟫`. - `ext_of_scalarMeasure_eq` : a weak spectral measure is determined by its scalar measures. - `diagonalMeasure`, `diagonalMeasure_apply_eq_norm_sq` : the vector-state spectral measure `μₓ S = ‖μS S x‖²`, and its basic identities (`univ`, `map`, finiteness, homogeneity, the parallelogram law).
A. The scalar (matrix-coefficient) measure and extensionality
B. Positivity on the diagonal
A weak PVM gives a positive scalar measure on every vector state. This is the measure-theoretic input for the bounded and unbounded spectral integrals; it is deliberately proved here, before any operator-valued integral is introduced.
C. The diagonal (vector-state) measure
21 declarations
Inner product evaluation
For fixed vectors in a Hilbert space , this is the additive homomorphism from the space of continuous linear operators on (equipped with the weak operator topology) to the complex numbers that maps an operator to the inner product .
Continuity of the inner product evaluation in the weak operator topology
Let be a Hilbert space and let be fixed vectors. The map from the space of bounded linear operators on (equipped with the weak operator topology) to the complex numbers given by is continuous.
Complex scalar measure
Given a weak operator topology (WOT) spectral measure on a measurable space acting on a Hilbert space , and two vectors , the **scalar measure** is the complex-valued measure on defined by the mapping for every measurable set . This measure represents the result of "testing" the spectral measure against the pair of vectors and .
Value of the scalar measure
Let be a weak operator topology (WOT) spectral measure on a measurable space acting on a Hilbert space . For any vectors and any measurable set , the value of the scalar measure at is given by the complex inner product .
for WOT spectral measures
Let and be measurable spaces and be a measurable function. Let be a weak operator topology (WOT) spectral measure on acting on a Hilbert space . For any vectors , the scalar measure associated with the push-forward spectral measure and the vectors is equal to the push-forward of the scalar measure of under . That is, where is the scalar measure for measurable sets , and is the push-forward of the complex measure .
A weak spectral measure is determined by its scalar measures
Let be a Hilbert space and be a measurable space. Suppose and are two weak operator topology (WOT) spectral measures on acting on . If for every pair of vectors , their scalar measures are equal—that is, for every measurable set , the complex inner products satisfy —then the spectral measures themselves are equal, .
for weak spectral measures
Let be a Hilbert space and be a measurable space. For a weak spectral measure on taking values in the bounded operators on , for any measurable set and any vector , the real part of the complex inner product is non-negative:
Let be a Hilbert space and be a measurable space. For a weak spectral measure defined on with values in the operators on , any set , and any vector , the real part of the inner product of and is equal to the squared norm of the vector :
Let be a Hilbert space and be a weak spectral measure on a space . For any set and any vector , the inner product of with the image of under the measure of is equal to the inner product of with itself:
for disjoint measurable sets and
Let be a Hilbert space and be a weak spectral measure on a space . For any two disjoint measurable sets and any vector , the inner product of the vectors and is zero: where and are the operators associated with the sets and by the spectral measure.
Countable Additivity of the Diagonal Measure
Let be a weak spectral measure on a measurable space with values in operators on a Hilbert space . For any vector and any sequence of pairwise disjoint measurable sets , the real part of the diagonal matrix element is countably additive: where denotes the inner product on .
Diagonal measure of a vector
Given a weak spectral measure on a measurable space taking values in the operators on a Hilbert space , the diagonal measure associated with a vector is a positive measure on . For any measurable set , its value is defined as the real part of the inner product , which is also equal to the squared norm .
Let be a Hilbert space and be a weak spectral measure on a measurable space . For any vector and any measurable set , the value of the diagonal measure evaluated at is equal to the real part of the inner product of and , written as: where the real part is mapped into the extended non-negative real numbers .
Let be a weak spectral measure on a measurable space taking values in the bounded operators on a Hilbert space . For any vector and any measurable set , the value of the diagonal measure at is equal to the squared norm of the vector :
The diagonal measure of the universal set is
Let be a weak spectral measure on a measurable space with values in the operators on a Hilbert space . For any vector , let be the diagonal measure associated with , which is defined for measurable sets as . Then the value of this measure on the entire space is equal to the squared norm of the vector :
The diagonal measure of a pushforward spectral measure is the pushforward of the diagonal measure
Let be a weak spectral measure on a measurable space taking values in the bounded operators on a Hilbert space . Let be a measurable function into another measurable space . For any vector , let denote the diagonal measure of with respect to , which satisfies for measurable sets . Then the diagonal measure of with respect to the pushforward spectral measure is equal to the pushforward of the diagonal measure under . That is,
The diagonal measure is finite
Let be a Hilbert space and be a weak spectral measure on a measurable space . For any vector , the diagonal measure (defined by for measurable sets ) is a finite measure.
Let be a weak spectral measure on a measurable space taking values in the operators on a Hilbert space . For any vector , the diagonal measure associated with the negation is equal to the diagonal measure associated with , denoted as . (The diagonal measure is the positive measure defined by for measurable sets ).
The diagonal measure satisfies
Let be a Hilbert space and be a weak spectral measure. For any vector , the diagonal measure associated with is equal to the diagonal measure associated with , where is the imaginary unit. That is, .
Let be a weak spectral measure on a measurable space taking values in the operators on a Hilbert space . For any vector , let denote the diagonal measure of , defined such that for any measurable set , . Then for any complex scalar and vector , the diagonal measure of the scaled vector satisfies: where denotes the absolute value of the complex number .
Parallelogram identity for diagonal measures:
Let be a weak spectral measure on a measurable space taking values in the operators on a Hilbert space . For any vector , let denote the diagonal measure associated with , which is defined for any measurable set as . For any two vectors , the diagonal measures satisfy the parallelogram identity:
