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PhyslibAlpha.ProbabilisticTheory.Classical.NamiokaPhelps

Classical theories compose uniquely with the square

i. Overview

When a system is combined with another, the parts do not decide which composite observables are nonnegative. The minimal choice admits only sums of products of nonnegative observables; the maximal choice admits everything that local preparations keep nonnegative. For a classical system the two coincide: there is only one way to compose it.

It suffices to test composition with the square, the simplest nonclassical state space. A composite observable of `E` with the square is given by its four vertex values in `E`. It is in the maximal cone when all four values are nonnegative, and in the minimal cone when the values are the facet sums of four nonnegative observables of `E`. Solving for these four observables is exactly a Riesz decomposition in `E`. So composition with the square is unique exactly when `E` has the Riesz decomposition; for complete observables this means that the state space is a Choquet simplex, and that every two yes/no measurements are compatible.

ii. Key results

- `IsNuclear.isClassical` : a nuclear system is classical. - `minTensorCone_eq_maxTensorCone_square_iff` : composition with the square is unique exactly when the observables have the Riesz decomposition. - `isClassical_of_minTensorCone_eq_square` : if composition with the square is unique, the positive functionals form a lattice. - `isClassical_iff_minTensorCone_eq_square` : **Namioka–Phelps square test**: on a complete Archimedean order-unit space, the state space is a Choquet simplex exactly when composition with the square is unique. - `jointlyMeasurable_iff_minTensorCone_eq_square` : every two yes/no measurements are compatible exactly when composition with the square is unique.

iii. Table of contents

  • A. Facet coordinates of the minimal cone
  • B. Nuclear systems are classical
  • C. The square test
  • D. Classicality

iv. References

- I. Namioka and R. R. Phelps, *Tensor products of compact convex sets*, Pacific J. Math. 31 (1969), 469–480.

A. Facet coordinates of the minimal cone

B. Nuclear systems are classical

C. The square test

D. Classicality

12 declarations

definition

Facet sum of four non-negative observables

For an ordered vector space EE, a sequence of four elements A=(A0,A1,A2,A3)A = (A_0, A_1, A_2, A_3) in EE satisfies the facet sum property if there exist four non-negative elements X0,X1,X2,X3∈EX_0, X_1, X_2, X_3 \in E (where Xj≥0X_j \ge 0 for each j∈{0,1,2,3}j \in \{0, 1, 2, 3\}) such that the components of AA are given by: - A0=X2+X3A_0 = X_2 + X_3 - A1=X0+X3A_1 = X_0 + X_3 - A2=X1+X2A_2 = X_1 + X_2 - A3=X0+X1A_3 = X_0 + X_1 This definition characterizes vertex values that arise as facet sums of four non-negative observables, typically used in the context of the Namioka–Phelps square test for classicality.

theorem

Vertex values of the sum ∑Xj⊗facetj\sum X_j \otimes \text{facet}_j

Let EE be an ordered vector space. For any four elements X0,X1,X2,X3∈EX_0, X_1, X_2, X_3 \in E, the vertex values of the composite observable z=∑j=03Xj⊗facetjz = \sum_{j=0}^3 X_j \otimes \text{facet}_j in E⊗RSquareE \otimes_{\mathbb{R}} \text{Square} are given by the 4-tuple: vals(z)=(X2+X3,X0+X3,X1+X2,X0+X1)\text{vals}(z) = (X_2 + X_3, X_0 + X_3, X_1 + X_2, X_0 + X_1) where facetj\text{facet}_j are the four facet observables of the square.

theorem

Vertex Values in the Minimal Tensor Cone are Facet Sums

Let EE be an ordered real vector space and Square\text{Square} be the space of observables on a square state space. If a composite observable z∈E⊗RSquarez \in E \otimes_{\mathbb{R}} \text{Square} belongs to the minimal tensor cone, then its vertex values vals(z)=(A0,A1,A2,A3)\text{vals}(z) = (A_0, A_1, A_2, A_3) are facet sums. Specifically, there exist four non-negative elements X0,X1,X2,X3∈EX_0, X_1, X_2, X_3 \in E such that: - A0=X2+X3A_0 = X_2 + X_3 - A1=X0+X3A_1 = X_0 + X_3 - A2=X1+X2A_2 = X_1 + X_2 - A3=X0+X1A_3 = X_0 + X_1

theorem

IsFacetSum(vals(z))  ⟹  z∈minTensorCone(E,Square)\text{IsFacetSum}(\text{vals}(z)) \implies z \in \text{minTensorCone}(E, \text{Square})

Let EE be an ordered real vector space and Square\text{Square} be the space of square observables (functions v:{0,1,2,3}→Rv: \{0, 1, 2, 3\} \to \mathbb{R} satisfying v0+v3=v1+v2v_0 + v_3 = v_1 + v_2). For any composite observable z∈E⊗RSquarez \in E \otimes_{\mathbb{R}} \text{Square}, if the vertex values vals(z)=(A0,A1,A2,A3)∈E4\text{vals}(z) = (A_0, A_1, A_2, A_3) \in E^4 are facet sums—meaning there exist four non-negative elements X0,X1,X2,X3∈EX_0, X_1, X_2, X_3 \in E such that: - A0=X2+X3A_0 = X_2 + X_3 - A1=X0+X3A_1 = X_0 + X_3 - A2=X1+X2A_2 = X_1 + X_2 - A3=X0+X1A_3 = X_0 + X_1 then zz belongs to the minimal tensor cone of E⊗RSquareE \otimes_{\mathbb{R}} \text{Square}.

theorem

Square test implies existence of approximate binary joint effects

Let EE be an ordered real vector space with an order unit 11. If the maximal tensor cone of E⊗RSquareE \otimes_{\mathbb{R}} \text{Square} is contained in the Archimedean closure of the minimal tensor cone, then every two effects e,f∈[0,1]⊆Ee, f \in [0, 1] \subseteq E have an approximate binary joint effect. Specifically, for any δ>0\delta > 0, there exists an element g∈Eg \in E that serves as a binary joint effect of ee and ff within an error margin of δ\delta. Here, Square\text{Square} denotes the space of observables on a square state space satisfying the diagonal relation v0+v3=v1+v2v_0 + v_3 = v_1 + v_2 for vertex values viv_i.

theorem

A Nuclear System is Classical

If an Archimedean order-unit space EE is nuclear—meaning that for every other Archimedean system, the minimal and maximal tensor cones of their composition coincide—then EE is a classical system. In this case, the space of positive functionals on EE forms a lattice, which corresponds to the state space being a Choquet simplex.

theorem

Equality of Minimal and Maximal Tensor Cones with the Square implies the Riesz Decomposition Property

Let EE be an ordered real vector space. If the minimal tensor cone of the composite system E⊗SquareE \otimes \text{Square} is equal to its maximal tensor cone, then EE possesses the Riesz decomposition property. Here, Square\text{Square} denotes the space of observables on a square state space, consisting of functions v:{0,1,2,3}→Rv: \{0, 1, 2, 3\} \to \mathbb{R} that satisfy the diagonal relation v0+v3=v1+v2v_0 + v_3 = v_1 + v_2.

theorem

Riesz Decomposition Implies maxTensorCone⊆minTensorCone\text{maxTensorCone} \subseteq \text{minTensorCone} for the Square Space

Let EE be an ordered real vector space. If EE satisfies the Riesz decomposition property, then the maximal tensor cone of the tensor product E⊗RSquareE \otimes_{\mathbb{R}} \text{Square} is contained in the minimal tensor cone of E⊗RSquareE \otimes_{\mathbb{R}} \text{Square}, where Square\text{Square} is the space of observables on a square state space.

theorem

Square test: minTensorCone(E,Square)=maxTensorCone(E,Square)  ⟺  HasRieszDecomposition(E)\text{minTensorCone}(E, \text{Square}) = \text{maxTensorCone}(E, \text{Square}) \iff \text{HasRieszDecomposition}(E)

Let EE be an ordered real vector space. The minimal tensor cone of the tensor product E⊗SquareE \otimes \text{Square} is equal to the maximal tensor cone of E⊗SquareE \otimes \text{Square} if and only if EE satisfies the Riesz decomposition property. Here, Square\text{Square} is the space of observables on a square state space, consisting of vectors v∈R4v \in \mathbb{R}^4 that satisfy the diagonal relation v0+v3=v1+v2v_0 + v_3 = v_1 + v_2.

theorem

Equality of Square Tensor Cones implies EE is Classical

Let EE be an ordered real vector space and Square\text{Square} be the space of observables on a square state space (the space of functions on four vertices satisfying v0+v3=v1+v2v_0 + v_3 = v_1 + v_2). If the minimal tensor cone of E⊗SquareE \otimes \text{Square} is equal to the maximal tensor cone, then EE is a classical system. This implies that the state space of EE is a Choquet simplex and the space of positive functionals on EE forms a lattice.

theorem

Namioka–Phelps Square Test: EE is Classical   ⟺  minTensorCone(E,Square)=maxTensorCone(E,Square)\iff \text{minTensorCone}(E, \text{Square}) = \text{maxTensorCone}(E, \text{Square})

**Namioka–Phelps square test.** Let EE be a complete Archimedean order-unit space. The system EE is classical (meaning its state space is a Choquet simplex) if and only if the minimal and maximal tensor cones of EE composed with the square state space observables (Square\text{Square}) are equal: minTensorCone(E,Square)=maxTensorCone(E,Square)\text{minTensorCone}(E, \text{Square}) = \text{maxTensorCone}(E, \text{Square}) where Square\text{Square} is the space of observables on a square, defined as the subspace of R4\mathbb{R}^4 satisfying v0+v3=v1+v2v_0 + v_3 = v_1 + v_2.

theorem

Joint Measurability of Effects   ⟺  \iff minTensorCone(E,Square)=maxTensorCone(E,Square)\text{minTensorCone}(E, \text{Square}) = \text{maxTensorCone}(E, \text{Square})

Let EE be a complete Archimedean order-unit space. Every two yes/no measurements in EE (represented by effects e,f∈Ee, f \in E such that 0≤e≤10 \le e \le 1 and 0≤f≤10 \le f \le 1) are jointly measurable if and only if the minimal tensor cone of E⊗SquareE \otimes \text{Square} is equal to the maximal tensor cone.