PhyslibAlpha.ProbabilisticTheory.JordanOrderUnit.CStarAlgebra.Statistics
Spectral formulas for Jordan moments
i. Overview
The statistics of an observable `a` in a state `ω` of a C⋆-algebra are given by its spectral measure `μ_{ω,a}`: `ω(f(a)) = ∫ f dμ_{ω,a}`. The Jordan moments of `a` are defined through Jordan powers `a^{[n]}`. For a single observable these agree with the ordinary powers `aⁿ` of the C⋆-algebra, so every moment, and in particular the variance, is an integral against the spectral measure.
ii. Key definitions and results
- `JB.jpow_eq_pow` : Jordan powers of a single observable are ordinary powers.
- `JB.moment_eq_integral` : `moment n (ω.onObservables) a = ∫ y, y^n ∂(realSpectralMeasure ω a)`
- `JB.variance_eq_integral_sq_sub` : the variance as `∫y² dμ - (∫y dμ)²`
iii. Table of contents
- A. Jordan powers of a single element are ordinary powers
- B. Moments as integrals against the outcome distribution
A. Jordan powers of a single element are ordinary powers
B. Moments as integrals against the outcome distribution
4 declarations
Jordan powers of self-adjoint elements equal ordinary powers
Let be a star-algebra and be a self-adjoint element. For any natural number , the -th Jordan power of , denoted and defined recursively by and (where is the Jordan product), is equal to the ordinary power in .
-th moment equals
Let be a unital -algebra and be a state on (a unital positive linear map from to ). For any self-adjoint element (an observable) and any natural number , the -th moment of in the state is given by the integral of the -th power function with respect to the real spectral measure associated with and : Here, the moment is defined by applying the state to the -th Jordan power of the observable, which for a single observable coincides with the ordinary power .
Let be a -algebra, be a state on , and be a self-adjoint element (an observable). The value of the state on the observable is equal to the integral of the identity function with respect to the real spectral measure associated with and : This identifies the mean (the expected value) of the observable as its first moment.
for spectral measures of observables
Let be a unital -algebra, be a state on , and be a self-adjoint element (an observable). Let denote the real spectral measure (the probability distribution) of in the state . The variance of with respect to is equal to the difference between the second moment and the square of the first moment of its spectral measure:
