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PhyslibAlpha.ProbabilisticTheory.Channel.Normal

Normal channels

i. Overview

A channel is normal when it preserves least upper bounds of increasing sequences. Every channel preserves finite sums; a normal channel also preserves countable sums of positive elements.

ii. Key results

- `UnitalPositiveLinearMap.IsNormal` - `PositiveLinearMap.IsNormal.isLUB_partialSums` : a normal map preserves countable sums of positive elements.

iii. Table of contents

  • A. Normal positive maps
  • B. Normal channels

A. Normal positive maps

B. Normal channels

7 declarations

definition

Normality of a positive linear map

Let E1E_1 and E2E_2 be ordered vector spaces over R\mathbb{R}. A positive linear map ϕ:E1→E2\phi: E_1 \to E_2 is said to be **normal** if it preserves the suprema of directed sets. That is, for any directed set D⊆E1D \subseteq E_1 that has a supremum, the image ϕ(D)\phi(D) also has a supremum and satisfies ϕ(sup⁡D)=sup⁡ϕ(D)\phi(\sup D) = \sup \phi(D).

theorem

The identity positive linear map is normal

Let EE be an ordered vector space over the real numbers R\mathbb{R}. The identity positive linear map idE:E→E\text{id}_E: E \to E is normal. That is, for any directed set D⊆ED \subseteq E that has a supremum sup⁡D\sup D, the image of the set under the identity map also has a supremum and satisfies idE(sup⁡D)=sup⁡(idE(D))\text{id}_E(\sup D) = \sup (\text{id}_E(D)).

theorem

The composition of normal positive linear maps is normal

Let E1,E2E_1, E_2, and E3E_3 be ordered vector spaces over the real numbers R\mathbb{R}. Let ϕ:E1→E2\phi: E_1 \to E_2 and ψ:E2→E3\psi: E_2 \to E_3 be positive linear maps. If ϕ\phi and ψ\psi are normal maps (that is, they preserve the suprema of directed sets), then their composition ψ∘ϕ\psi \circ \phi is also normal.

theorem

Normal Maps Preserve the Least Upper Bound of Partial Sums

Let EE and FF be ordered vector spaces over R\mathbb{R}. Let ϕ:E→F\phi: E \to F be a normal positive linear map (meaning ϕ\phi preserves the suprema of directed sets). Let (fn)n∈N(f_n)_{n \in \mathbb{N}} be a sequence of elements in EE such that fn≥0f_n \ge 0 for all nn. If the sequence of partial sums ∑n=0N−1fn\sum_{n=0}^{N-1} f_n has a least upper bound x∈Ex \in E, then the sequence of partial sums of the images ∑n=0N−1ϕ(fn)\sum_{n=0}^{N-1} \phi(f_n) has ϕ(x)\phi(x) as its least upper bound.

abbrev

Normality of a channel ϕ\phi

Let EE and FF be ordered vector spaces. A channel ϕ:E→F\phi: E \to F (defined as a unital positive linear map) is said to be **normal** if its underlying positive linear map preserves the least upper bounds (suprema) of directed sets. Specifically, if a directed set D⊆ED \subseteq E has a supremum sup⁡D\sup D, then the image set ϕ(D)\phi(D) also has a supremum and satisfies ϕ(sup⁡D)=sup⁡ϕ(D)\phi(\sup D) = \sup \phi(D).

theorem

The identity map is normal

The identity map idE\text{id}_E on an ordered vector space EE is normal. That is, for any directed set D⊆ED \subseteq E that has a least upper bound sup⁡D\sup D, the identity map preserves this bound such that idE(sup⁡D)=sup⁡idE(D)\text{id}_E(\sup D) = \sup \text{id}_E(D).

theorem

The composition of normal channels is normal

Let E,FE, F, and GG be ordered vector spaces. Let ϕ:E→F\phi: E \to F and ψ:F→G\psi: F \to G be normal channels (unital positive linear maps that preserve the least upper bounds of directed sets). Then their composition ψ∘ϕ:E→G\psi \circ \phi: E \to G is also a normal channel.