PhyslibAlpha.QuantumMechanics.OperatorAlgebra.Measurement.SpectralMeasure
The probability measure of an observable in a state
A state `ω` and an observable `a` together fix a probability measure `μ_{ω,a}` on `ℝ`: the one against which integrating `f` gives `ω(f(a))`, so it's what you integrate against for `a`'s expectation, variance, or any other statistic in the preparation `ω`. `μ_{ω,a}` is supported on `a`'s spectrum and is the unique measure with this property.
Restricting `Re ∘ ω` to the continuous functional calculus of `a` turns `ω, a` into one positive, normalized functional on `C(σ_ℝ(a), ℝ)` — exactly the input to Riesz–Markov–Kakutani, which Mathlib already supplies. Pushing the result forward along `σ_ℝ(a) ↪ ℝ` gives `μ_{ω,a}`.
14 declarations
Spectral functional for a state and observable
Given a -algebra , a state on , and an observable (a self-adjoint element), the spectral functional is the positive linear map from the space of continuous real-valued functions on the spectrum , denoted , to . For a function , the functional returns the real part of the state applied to the element obtained via the continuous functional calculus: . Since is real-valued and is self-adjoint, is self-adjoint, making the result real-valued.
Compactly supported spectral functional
Given a -algebra , a state on , and an observable (a self-adjoint element), this functional is the positive linear map from the space of continuous real-valued functions with compact support on the spectrum of , denoted , to . For a function , the functional maps to , where is the element obtained via the continuous functional calculus. Since the spectrum is compact, this is the restriction of the spectral functional to the space of compactly supported functions, providing the necessary input for the Riesz–Markov–Kakutani representation theorem to produce a spectral measure.
Spectral measure on the spectrum
Let be a -algebra, a state on , and an observable (a self-adjoint element). The spectral measure associated with and is the unique Borel measure on the spectrum such that for any continuous real-valued function , the integral of with respect to satisfies: where is defined via the continuous functional calculus. This measure is obtained by applying the Riesz–Markov–Kakutani representation theorem to the positive linear functional on the space of continuous functions with compact support .
The spectral measure is finite
Let be a -algebra, a state on , and an observable (a self-adjoint element). The spectral measure associated with and —which is the unique Borel measure on the spectrum such that for any continuous real-valued function —is a finite measure.
The spectral functional maps the constant function 1 to 1
Let be a -algebra, a state on , and an observable (a self-adjoint element). Let the spectral functional associated with and be the linear map defined by , where is defined by the continuous functional calculus. Then , where denotes the constant function on the spectrum that maps every element to 1.
The spectral measure is a probability measure
Let be a -algebra, a state on , and an observable (a self-adjoint element of ). The spectral measure associated with and , which is a Borel measure defined on the spectrum , is a probability measure. That is, its total mass is 1, which corresponds to the normalization property of the state .
Let be a unital -algebra, a state on , and an observable (a self-adjoint element of ). Let denote the spectrum of , and let be the spectral measure on associated with and . For any continuous real-valued function , the state applied to the element (defined via the continuous functional calculus) satisfies: where the real-valued integral on the right is identified with its corresponding value in .
Spectral measure on
Let be a -algebra, a state on , and an observable (a self-adjoint element). The **real spectral measure** is the probability measure on the real line obtained by pushing forward the spectral measure (initially defined on the spectrum ) along the inclusion map . This measure is the unique probability measure on supported on such that for any continuous real-valued function , the integral of with respect to gives the expectation value: where is determined by the continuous functional calculus.
is a probability measure
Let be a -algebra, a state on , and an observable (a self-adjoint element). The real spectral measure associated with the state and observable is a probability measure on .
The spectral measure is supported on the spectrum
Let be a -algebra, be a state on , and be an observable. Let denote the real spectral measure on and be the spectrum of . Then the measure of the complement of the spectrum with respect to is zero: In other words, the probability measure is concentrated on the spectrum of .
Let be a -algebra, a state on , and an observable (a self-adjoint element of ). Let denote the spectrum of and denote the real spectral measure associated with the state and observable . For any function that is continuous on the spectrum , the expectation value of (determined by the continuous functional calculus) is given by the integral of with respect to : where the integral on the right-hand side is a real number embedded into the complex numbers.
Extension of continuous functions on to
Let be an observable (a self-adjoint element) in a -algebra , and let denote its spectrum. For any continuous function defined on the spectrum, there exists a function such that is continuous on and for all .
Integral Equality for the Pullback of a Representative Measure and the Spectral Measure
Let be a -algebra, a state on , and an observable. Let denote the spectrum of and let be the inclusion map. Suppose is a measure on such that: 1. For every function that is continuous on , the expectation of the observable (defined via continuous functional calculus) satisfies . 2. The measure is the pushforward of its pullback to the spectrum, i.e., , which implies is supported on . Then, for any continuous function , the integral of with respect to the pulled-back measure is equal to the integral of with respect to the spectral measure :
Uniqueness of the real spectral measure
Let be a -algebra, be a state on , and be an observable (a self-adjoint element). Let denote the spectrum of . Suppose is a probability measure on such that: 1. is concentrated on the spectrum of , i.e., . 2. For every function that is continuous on , the identity holds, where is defined via the continuous functional calculus. Then is equal to the real spectral measure .
