Physlib

PhyslibAlpha.AlgebraicFramework.Measurement.MeasurableOutcome

Measurable-outcome measurements, pushed forward along a normal channel

An `EffectValuedMeasure Ω C` is already exactly a measurable-outcome measurement with classical output `C`: the general definition promised in `OrderUnit/Channel/Basic.lean` — a channel out of bounded measurable functions `B_b(Ω, ℝ)` — restricts on indicator functions to precisely this data, `countably_additive'` being the trace of the channel's order-continuity on indicators alone. This file gives the other half: pushing such a measure forward along a further, genuinely normal channel `C →ₚ₁[ℝ] E` keeps it an effect-valued measure — countable additivity survives because the channel is linear (so it commutes with finite partial sums) and normal (so it commutes with their supremum).

Main definitions

  • `EffectValuedMeasure.map`

6 declarations

definition

Push-forward of an effect-valued measure μ\mu along a normal channel ϕ\phi

Let Ω\Omega be a measurable space and C,EC, E be ordered vector spaces (typically representing effects in a quantum system). Given an effect-valued measure μ\mu on Ω\Omega with values in CC, and a normal positive unital map ϕ:C→E\phi : C \to E (representing a normal channel), the push-forward measure map(μ,ϕ)\text{map}(\mu, \phi) is an effect-valued measure on Ω\Omega with values in EE defined by the composition: S↦ϕ(μ(S)) S \mapsto \phi(\mu(S)) for every measurable set S⊆ΩS \subseteq \Omega. The normality of ϕ\phi ensures that the resulting map remains countably additive.

theorem

Evaluation of the push-forward (map(μ,ϕ))(s)=ϕ(μ(s))(\text{map}(\mu, \phi))(s) = \phi(\mu(s))

Let Ω\Omega be a measurable space and C,EC, E be ordered vector spaces. Given an effect-valued measure μ\mu on Ω\Omega with values in CC, a normal unital positive linear map ϕ:C→E\phi : C \to E, and a measurable set s⊆Ωs \subseteq \Omega, the push-forward measure map(μ,ϕ)\text{map}(\mu, \phi) evaluated at ss is equal to the result of applying ϕ\phi to the value of μ\mu at ss: (map(μ,ϕ))(s)=ϕ(μ(s)) (\text{map}(\mu, \phi))(s) = \phi(\mu(s))

definition

Scalarization of an effect-valued measure μ\mu by a normal state ω\omega

Let Ω\Omega be a measurable space and CC be an ordered vector space. Given an effect-valued measure μ\mu on Ω\Omega with values in CC and a normal state ω:C→R\omega: C \to \mathbb{R} (a normal unital positive linear map), the **scalarization** of μ\mu by ω\omega is a real-valued measure on Ω\Omega (specifically an effect-valued measure with values in the classical order-unit space R\mathbb{R}) defined by: S↦ω(μ(S)) S \mapsto \omega(\mu(S)) for every measurable set S⊆ΩS \subseteq \Omega. This represents the ordinary real-valued probability law of the measurement μ\mu in the state ω\omega according to the abstract Born rule.

theorem

Value of the scalarized effect-valued measure: (μω)(s)=ω(μ(s))(\mu_{\omega})(s) = \omega(\mu(s))

Let Ω\Omega be a measurable space and CC be an ordered vector space. For an effect-valued measure μ\mu on Ω\Omega taking values in CC, a normal state ω:C→R\omega: C \to \mathbb{R}, and a measurable set s⊆Ωs \subseteq \Omega, the value of the scalarized measure (μ.scalarize ω)(\mu.\text{scalarize } \omega) at ss is equal to the state ω\omega applied to the value of the original measure μ\mu at ss: (μ.scalarize ω)(s)=ω(μ(s)) (\mu.\text{scalarize } \omega)(s) = \omega(\mu(s))

theorem

ϕ(∫f dμ)=∫f d(ϕ∘μ)\phi(\int f \, d\mu) = \int f \, d(\phi \circ \mu) for simple functions and normal channels ϕ\phi

Let Ω\Omega be a measurable space and C,EC, E be ordered vector spaces. Let μ\mu be an effect-valued measure on Ω\Omega with values in CC, and let ϕ:C→E\phi : C \to E be a normal unital positive linear map (representing a normal channel). For any finite partition of Ω\Omega into measurable sets {si}i∈ι\{s_i\}_{i \in \iota} and real coefficients {ci}i∈ι\{c_i\}_{i \in \iota}, the following equality holds: ϕ(∑i∈ιciμ(si))=∑i∈ιciϕ(μ(si))\phi\left( \sum_{i \in \iota} c_i \mu(s_i) \right) = \sum_{i \in \iota} c_i \phi(\mu(s_i)) This identity demonstrates that pushing the effect-valued measure μ\mu forward through the normal channel ϕ\phi commutes with the calculation of its finite simple integral.

theorem

ω(∫f dμ)=∫f d(μω)\omega(\int f \, d\mu) = \int f \, d(\mu_\omega) for simple functions ff and normal states ω\omega

Let Ω\Omega be a measurable space and CC be an ordered vector space. Suppose μ\mu is an effect-valued measure on Ω\Omega with values in CC, and ω:C→R\omega : C \to \mathbb{R} is a normal state. For a simple function defined by a finite partition {si}i∈ι\{s_i\}_{i \in \iota} of Ω\Omega and real coefficients {ci}i∈ι\{c_i\}_{i \in \iota}, applying the state ω\omega to the simple integral against μ\mu is equal to the ordinary real simple integral against the scalarized measure μω\mu_\omega: ω(∑i∈ιciμ(si))=∑i∈ιciω(μ(si)) \omega \left( \sum_{i \in \iota} c_i \mu(s_i) \right) = \sum_{i \in \iota} c_i \omega(\mu(s_i)) where μω\mu_\omega is the measure defined by μω(s)=ω(μ(s))\mu_\omega(s) = \omega(\mu(s)).