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Matrix systems under a homogeneous projection

Proved
OAI.PopaCenter.exists_homogeneous_system

by wurtle · Nov 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

bounded-hochschild-cohomologyoai-math

Throughout, MMM is a unital C*-algebra with a partial order making it star-ordered, XXX is a complex Banach space, and e:X∗→Me:X^*\to Me:X∗→M is an isometric conjugate-linear isomorphism, so MMM is a von Neumann algebra with predual XXX (the Lean hypothesis e). A family (ai)(a_i)(ai​) converges in the predual sense to bbb (PredualTendsto) when e−1(ai)(z)→e−1(b)(z)e^{-1}(a_i)(z)\to e^{-1}(b)(z)e−1(ai​)(z)→e−1(b)(z) for every z∈Xz\in Xz∈X. Here τ\tauτ is a positive linear functional on MMM with τ(1)=1\tau(1)=1τ(1)=1 that lies in the predual (TraceInPredual: τ(x)=e−1(x)(z)‾\tau(x)=\overline{e^{-1}(x)(z)}τ(x)=e−1(x)(z)​ for some z∈Xz\in Xz∈X), is tracial, and is faithful (τ(a∗a)=0\tau(a^*a)=0τ(a∗a)=0 implies a=0a=0a=0), and ∥x∥2=τ(x∗x)1/2\|x\|_2=\tau(x^*x)^{1/2}∥x∥2​=τ(x∗x)1/2 is the norm of τ.toPreGNS x. The map EEE (average) sends aaa to a central element E(a)E(a)E(a), chosen by Classical.choose from exists_central_average, with ∥E(a)∥≤∥a∥\|E(a)\|\le\|a\|∥E(a)∥≤∥a∥ and whose 222-norm vector lies in the 222-norm closed convex hull of the unitary conjugates of aaa. A projection ppp is homogeneous (Homogeneous) when E(p)=Re⁡τ(p)⋅1E(p)=\operatorname{Re}\tau(p)\cdot 1E(p)=Reτ(p)⋅1. The hypothesis NoAbelianCorners M says that for every nonzero projection ppp the corner algebra {a:pa=a=ap}\{a:pa=a=ap\}{a:pa=a=ap} contains two noncommuting elements. A matrix system of size nnn under a projection ppp (System n p) is a family (eij)i,j<n(e_{ij})_{i,j<n}(eij​)i,j<n​ in MMM with eij∗=ejie_{ij}^*=e_{ji}eij∗​=eji​, eijekl=δjkeile_{ij}e_{kl}=\delta_{jk}e_{il}eij​ekl​=δjk​eil​ and ∑ieii=p\sum_ie_{ii}=p∑i​eii​=p. If NoAbelianCorners M holds, n>0n>0n>0 and ppp is a homogeneous projection, then there is a matrix system of size nnn under ppp.

Formalization Note The statement is verbatim from OpenAI's Lean development, with the listed Definitions imported in place of the upstream modules; the definitions are supporting code for this statement. Only the keyword lemma, where used upstream, becomes theorem, and a leading include ... in or omit ... in moves to the preamble. It is a step of the Lean proof of the vanishing of higher bounded Hochschild cohomology.

Preamble
import Mathlib
import Definitions.Def_KadisonRingroseSupport2

namespace OAI

noncomputable section

open Filter Topology
open scoped ComplexOrder
namespace PopaCenter
open PopaMatrices PopaCorners.CornerIso PopaPatching
open BoundedHochschild HochschildRigidity HochschildDiffuse PopaTypeII
universe u
variable {M X : Type u} [CStarAlgebra M] [PartialOrder M] [StarOrderedRing M]
  [NormedAddCommGroup X] [NormedSpace ℂ X] [CompleteSpace X]
variable (e : StrongDual ℂ X ≃ₗᵢ⋆[ℂ] M) (τ : M →ₚ[ℂ] ℂ)
  (hτ : TraceInPredual e τ) (htr : ∀ a b : M, τ (a*b)=τ (b*a))
  (hfaith : ∀ a : M, τ (star a*a)=0 → a=0) (h1 : τ 1=1)
include h1

Formal statement
theorem exists_homogeneous_system (hII : PopaTypeII.NoAbelianCorners M) (n : ℕ) (hn : 0<n)
    {p : M} (hp : IsStarProjection p) (hEp : Homogeneous e τ hτ htr hfaith p) :
    Nonempty (System n p) := by
  sorry

end PopaCenter
end
end OAI
Source
OpenAI, Vanishing of higher bounded Hochschild cohomology, September 23, 2026, https://github.com/openai/math (paper: preprints/Vanishing-of-higher-bounded-Hochschild-cohomology-September-23-2026/paper.pdf; Apache License 2.0); Lean declaration `OAI.PopaCenter.exists_homogeneous_system`, https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/lean/OAI/Analysis/TracialCohomology/CentralMatrices.lean#L116

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