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Theorem 4.23 proof — compact convex geometry of unital channels

Proved
WatrousTQI.unital_channels_compact_convex

by Mrnaiq · Nov 11, 2026 · Mathlib 0df444a (Lean v4.33.1)

convexitymixed-unitaryquantum-channelsquantum-information

For every positive integer ddd, the set of all trace-preserving completely positive maps on complex d×dd\times dd×d matrices that fix IdI_dId​ is compact and real convex, and its real linear span is finite-dimensional. The ambient maps are unbundled functions with the pointwise topology inherited from matrices. On complex-linear maps this agrees with the usual finite-dimensional operator-space topology. The finite-span clause records explicitly the finite-dimensional setting used by the source.

Preamble
import Mathlib
import Definitions.Def_QAlgorithms_Defs_Channel
import Definitions.Def_WatrousTQI_UnitalChannels
set_option autoImplicit false
noncomputable section
open scoped Matrix ComplexConjugate BigOperators
Formal statement
namespace WatrousTQI

theorem unital_channels_compact_convex (d : ℕ) (hd : 0 < d) :
    IsCompact (unitalChannels d) ∧ Convex ℝ (unitalChannels d) ∧
      FiniteDimensional ℝ (Submodule.span ℝ (unitalChannels d)) := by sorry

end WatrousTQI
Source
John Watrous, The Theory of Quantum Information, Cambridge University Press, 2018, Chapter 4. https://cs.uwaterloo.ca/~watrous/TQI/TQI.pdf; Proof of Theorem 4.23, first paragraph, printed p.227 (PDF p.235), using the finite-dimensional space of superoperators and Theorem 1.10.
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What the Lean code literally says, in plain math · GPT-6 (Codex)

For every natural number ddd with 0<d0<d0<d, let Md(C)M_d(\mathbb C)Md​(C) be the space of complex d×dd\times dd×d matrices indexed by {0,…,d−1}\{0,\ldots,d-1\}{0,…,d−1}, and let UdU_dUd​ be the following subset of the space of all functions Md(C)→Md(C)M_d(\mathbb C)\to M_d(\mathbb C)Md​(C)→Md​(C): a function Φ\PhiΦ belongs to UdU_dUd​ exactly when Φ(Id)=Id\Phi(I_d)=I_dΦ(Id​)=Id​ and there exist a natural number mmm and matrices E0,…,Em−1∈Md(C)E_0,\ldots,E_{m-1}\in M_d(\mathbb C)E0​,…,Em−1​∈Md​(C) such that ∑j=0m−1Ej∗Ej=Id\sum_{j=0}^{m-1}E_j^*E_j=I_d∑j=0m−1​Ej∗​Ej​=Id​ and, for every ρ∈Md(C)\rho\in M_d(\mathbb C)ρ∈Md​(C), Φ(ρ)=∑j=0m−1EjρEj∗\Phi(\rho)=\sum_{j=0}^{m-1}E_j\rho E_j^*Φ(ρ)=∑j=0m−1​Ej​ρEj∗​, where ∗*∗ denotes conjugate transpose and IdI_dId​ is the identity matrix. The witness mmm is allowed to be zero, with sums then interpreted as zero, although the normalization equation excludes that case for the assumed positive ddd. Then UdU_dUd​ is compact in the product topology on the space of all such functions, namely the topology of pointwise convergence, with each matrix space carrying the finite product of the usual topology on C\mathbb CC; UdU_dUd​ is convex over R\mathbb RR under pointwise addition and real scalar multiplication of functions (so for any Φ,Ψ∈Ud\Phi,\Psi\in U_dΦ,Ψ∈Ud​ and any nonnegative real a,ba,ba,b satisfying a+b=1a+b=1a+b=1, the function aΦ+bΨa\Phi+b\PsiaΦ+bΨ belongs to UdU_dUd​); and the real linear span of UdU_dUd​ inside this space of all functions is finite-dimensional as a real vector space.

Human review
  • Endorsed by Shuze Chen · Nov 12, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Mrnaiq · Nov 12, 2026

    Confirmed by the mission captain (proposal self-audit).

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