Physlib

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

definition

Inner product evaluation ⟨y,Ax⟩\langle y, Ax \rangle

For fixed vectors x,yx, y in a Hilbert space HH, this is the additive homomorphism from the space of continuous linear operators on HH (equipped with the weak operator topology) to the complex numbers C\mathbb{C} that maps an operator AA to the inner product ⟨y,Ax⟩\langle y, Ax \rangle.

theorem

Continuity of the inner product evaluation A↦⟨y,Ax⟩A \mapsto \langle y, Ax \rangle in the weak operator topology

Let HH be a Hilbert space and let x,y∈Hx, y \in H be fixed vectors. The map from the space of bounded linear operators on HH (equipped with the weak operator topology) to the complex numbers C\mathbb{C} given by A↦⟨y,Ax⟩A \mapsto \langle y, Ax \rangle is continuous.

definition

Complex scalar measure S↦⟨y,μ(S)x⟩S \mapsto \langle y, \mu(S) x \rangle

Given a weak operator topology (WOT) spectral measure μ\mu on a measurable space α\alpha acting on a Hilbert space HH, and two vectors x,y∈Hx, y \in H, the **scalar measure** is the complex-valued measure on α\alpha defined by the mapping S↦⟨y,μ(S)x⟩S \mapsto \langle y, \mu(S) x \rangle for every measurable set S⊆αS \subseteq \alpha. This measure represents the result of "testing" the spectral measure against the pair of vectors xx and yy.

theorem

Value of the scalar measure μx,y(S)=⟨y,μ(S)x⟩\mu_{x,y}(S) = \langle y, \mu(S) x \rangle

Let μ\mu be a weak operator topology (WOT) spectral measure on a measurable space α\alpha acting on a Hilbert space HH. For any vectors x,y∈Hx, y \in H and any measurable set S⊆αS \subseteq \alpha, the value of the scalar measure μx,y\mu_{x,y} at SS is given by the complex inner product ⟨y,μ(S)x⟩\langle y, \mu(S) x \rangle.

theorem

(f∗μ)x,y=f∗(μx,y)(f_* \mu)_{x,y} = f_* (\mu_{x,y}) for WOT spectral measures

Let α\alpha and β\beta be measurable spaces and f:α→βf : \alpha \to \beta be a measurable function. Let μ\mu be a weak operator topology (WOT) spectral measure on α\alpha acting on a Hilbert space HH. For any vectors x,y∈Hx, y \in H, the scalar measure associated with the push-forward spectral measure f∗μf_* \mu and the vectors x,yx, y is equal to the push-forward of the scalar measure of μ\mu under ff. That is, (f∗μ)x,y=f∗(μx,y), (f_* \mu)_{x,y} = f_* (\mu_{x,y}), where (f∗μ)x,y(f_* \mu)_{x,y} is the scalar measure B↦⟨y,(f∗μ)(B)x⟩B \mapsto \langle y, (f_* \mu)(B) x \rangle for measurable sets B⊆βB \subseteq \beta, and f∗(μx,y)f_* (\mu_{x,y}) is the push-forward of the complex measure μx,y:S↦⟨y,μ(S)x⟩\mu_{x,y} : S \mapsto \langle y, \mu(S) x \rangle.

theorem

A weak spectral measure is determined by its scalar measures

Let HH be a Hilbert space and α\alpha be a measurable space. Suppose μ\mu and ν\nu are two weak operator topology (WOT) spectral measures on α\alpha acting on HH. If for every pair of vectors x,y∈Hx, y \in H, their scalar measures are equal—that is, for every measurable set S⊆αS \subseteq \alpha, the complex inner products satisfy ⟨y,μ(S)x⟩=⟨y,ν(S)x⟩\langle y, \mu(S) x \rangle = \langle y, \nu(S) x \rangle—then the spectral measures themselves are equal, μ=ν\mu = \nu.

theorem

Re⁡⟨x,μS(S)x⟩≥0\operatorname{Re} \langle x, \mu_S(S) x \rangle \geq 0 for weak spectral measures

Let HH be a Hilbert space and α\alpha be a measurable space. For a weak spectral measure μS\mu_S on α\alpha taking values in the bounded operators on HH, for any measurable set S⊆αS \subseteq \alpha and any vector x∈Hx \in H, the real part of the complex inner product ⟨x,μS(S)x⟩\langle x, \mu_S(S) x \rangle is non-negative: 0≤Re⁡(⟨x,μS(S)x⟩).0 \leq \operatorname{Re}(\langle x, \mu_S(S) x \rangle).

theorem

Re⁡⟨x,μS(S)x⟩=∥μS(S)x∥2\operatorname{Re} \langle x, \mu_S(S) x \rangle = \|\mu_S(S) x\|^2

Let HH be a Hilbert space and α\alpha be a measurable space. For a weak spectral measure μS\mu_S defined on α\alpha with values in the operators on HH, any set S⊆αS \subseteq \alpha, and any vector x∈Hx \in H, the real part of the inner product of xx and μS(S)x\mu_S(S)x is equal to the squared norm of the vector μS(S)x\mu_S(S)x: Re⁡⟨x,μS(S)x⟩=∥μS(S)x∥2\operatorname{Re} \langle x, \mu_S(S) x \rangle = \|\mu_S(S) x\|^2

theorem

⟨x,μS(S)x⟩=⟨μS(S)x,μS(S)x⟩\langle x, \mu_S(S) x \rangle = \langle \mu_S(S) x, \mu_S(S) x \rangle

Let HH be a Hilbert space and μS\mu_S be a weak spectral measure on a space α\alpha. For any set S⊆αS \subseteq \alpha and any vector x∈Hx \in H, the inner product of xx with the image of xx under the measure of SS is equal to the inner product of μS(S)x\mu_S(S) x with itself: ⟨x,μS(S)x⟩=⟨μS(S)x,μS(S)x⟩\langle x, \mu_S(S) x \rangle = \langle \mu_S(S) x, \mu_S(S) x \rangle

theorem

⟨μS(A)x,μS(B)x⟩=0\langle \mu_S(A)x, \mu_S(B)x \rangle = 0 for disjoint measurable sets AA and BB

Let HH be a Hilbert space and μS\mu_S be a weak spectral measure on a space α\alpha. For any two disjoint measurable sets A,B⊆αA, B \subseteq \alpha and any vector x∈Hx \in H, the inner product of the vectors μS(A)x\mu_S(A)x and μS(B)x\mu_S(B)x is zero: ⟨μS(A)x,μS(B)x⟩=0\langle \mu_S(A)x, \mu_S(B)x \rangle = 0 where μS(A)\mu_S(A) and μS(B)\mu_S(B) are the operators associated with the sets AA and BB by the spectral measure.

theorem

Countable Additivity of the Diagonal Measure Re⟨x,μS(S)x⟩\text{Re} \langle x, \mu_S(S) x \rangle

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha with values in operators on a Hilbert space HH. For any vector x∈Hx \in H and any sequence of pairwise disjoint measurable sets {fi}i∈N⊆α\{f_i\}_{i \in \mathbb{N}} \subseteq \alpha, the real part of the diagonal matrix element is countably additive: Re⟨x,μS(⋃i∈Nfi)x⟩=∑i=0∞Re⟨x,μS(fi)x⟩ \text{Re} \langle x, \mu_S(\bigcup_{i \in \mathbb{N}} f_i) x \rangle = \sum_{i=0}^\infty \text{Re} \langle x, \mu_S(f_i) x \rangle where ⟨⋅,⋅⟩\langle \cdot, \cdot \rangle denotes the inner product on HH.

definition

Diagonal measure μx\mu_x of a vector xx

Given a weak spectral measure μS\mu_S on a measurable space α\alpha taking values in the operators on a Hilbert space HH, the diagonal measure associated with a vector x∈Hx \in H is a positive measure on α\alpha. For any measurable set S⊆αS \subseteq \alpha, its value is defined as the real part of the inner product Re⟨x,μS(S)x⟩\text{Re} \langle x, \mu_S(S) x \rangle, which is also equal to the squared norm ∥μS(S)x∥2\|\mu_S(S) x\|^2.

theorem

μx(S)=Re⟨x,μS(S)x⟩\mu_x(S) = \text{Re} \langle x, \mu_S(S) x \rangle

Let HH be a Hilbert space and μS\mu_S be a weak spectral measure on a measurable space α\alpha. For any vector x∈Hx \in H and any measurable set S⊆αS \subseteq \alpha, the value of the diagonal measure μx\mu_x evaluated at SS is equal to the real part of the inner product of xx and μS(S)x\mu_S(S)x, written as: μx(S)=Re⟨x,μS(S)x⟩ \mu_x(S) = \text{Re} \langle x, \mu_S(S) x \rangle where the real part is mapped into the extended non-negative real numbers [0,∞][0, \infty].

theorem

μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S) x\|^2

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha taking values in the bounded operators on a Hilbert space HH. For any vector x∈Hx \in H and any measurable set S⊆αS \subseteq \alpha, the value of the diagonal measure μx\mu_x at SS is equal to the squared norm of the vector μS(S)x\mu_S(S)x: μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S) x\|^2

theorem

The diagonal measure of the universal set is ∥x∥2\|x\|^2

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha with values in the operators on a Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x be the diagonal measure associated with xx, which is defined for measurable sets S⊆αS \subseteq \alpha as μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S) x\|^2. Then the value of this measure on the entire space α\alpha is equal to the squared norm of the vector xx: μx(α)=∥x∥2.\mu_x(\alpha) = \|x\|^2.

theorem

The diagonal measure of a pushforward spectral measure is the pushforward of the diagonal measure

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha taking values in the bounded operators on a Hilbert space HH. Let f:α→βf: \alpha \to \beta be a measurable function into another measurable space β\beta. For any vector x∈Hx \in H, let μx\mu_x denote the diagonal measure of xx with respect to μS\mu_S, which satisfies μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S)x\|^2 for measurable sets SS. Then the diagonal measure of xx with respect to the pushforward spectral measure f∗μSf_* \mu_S is equal to the pushforward of the diagonal measure μx\mu_x under ff. That is, (f∗μS)x=f∗μx(f_* \mu_S)_x = f_* \mu_x

instance

The diagonal measure μx\mu_x is finite

Let HH be a Hilbert space and μS\mu_S be a weak spectral measure on a measurable space α\alpha. For any vector x∈Hx \in H, the diagonal measure μx\mu_x (defined by μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S)x\|^2 for measurable sets S⊆αS \subseteq \alpha) is a finite measure.

theorem

μ−x=μx\mu_{-x} = \mu_x

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha taking values in the operators on a Hilbert space HH. For any vector x∈Hx \in H, the diagonal measure associated with the negation −x-x is equal to the diagonal measure associated with xx, denoted as μ−x=μx\mu_{-x} = \mu_x. (The diagonal measure μx\mu_x is the positive measure defined by μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S)x\|^2 for measurable sets S⊆αS \subseteq \alpha).

theorem

The diagonal measure satisfies μix=μx\mu_{ix} = \mu_x

Let HH be a Hilbert space and μS\mu_S be a weak spectral measure. For any vector x∈Hx \in H, the diagonal measure associated with ixix is equal to the diagonal measure associated with xx, where ii is the imaginary unit. That is, μix=μx\mu_{ix} = \mu_x.

theorem

μcx=∣c∣2μx\mu_{cx} = |c|^2 \mu_x

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha taking values in the operators on a Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the diagonal measure of xx, defined such that for any measurable set S⊆αS \subseteq \alpha, μx(S)=∥μS(S)x∥2\mu_x(S) = \|\mu_S(S)x\|^2. Then for any complex scalar c∈Cc \in \mathbb{C} and vector x∈Hx \in H, the diagonal measure of the scaled vector cxcx satisfies: μcx=∣c∣2μx\mu_{cx} = |c|^2 \mu_x where ∣c∣|c| denotes the absolute value of the complex number cc.

theorem

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

Let μS\mu_S be a weak spectral measure on a measurable space α\alpha taking values in the operators on a Hilbert space HH. For any vector x∈Hx \in H, let μx\mu_x denote the diagonal measure associated with xx, which is defined for any measurable set S⊆αS \subseteq \alpha as μx(S)=∥μS(S)x∥2=Re⟨x,μS(S)x⟩\mu_x(S) = \|\mu_S(S) x\|^2 = \text{Re} \langle x, \mu_S(S) x \rangle. For any two vectors x,y∈Hx, y \in H, the diagonal measures satisfy the parallelogram identity: μx+y+μx−y=2μx+2μy\mu_{x+y} + \mu_{x-y} = 2\mu_x + 2\mu_y