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Lean statement

Transport of trace ideals and their additive-idempotent description

Lean is a language for mathematical statements and proofs that a computer can verify. This page shows one statement file from OpenAI’s release, possible paper matches and independent reports. The code-like names below identify the definitions or theorems selected by the proof-verification settings.

Theorems selected for verification: OAI.TraceConeClassification.TraceConeEquiv.idealOrderIso_finIdeal OAI.TraceConeClassification.TraceConeEquiv.idealOrderIso_zeroIdeal OAI.TraceConeClassification.closed_ideal_weight_exists OAI.TraceConeClassification.ExtendedTrace.zero_mem_finiteSquareSet OAI.TraceConeClassification.ExtendedTrace.star_mem_finiteSquareSet OAI.TraceConeClassification.ExtendedTrace.smul_mem_finiteSquareSet OAI.TraceConeClassification.ExtendedTrace.add_mem_finiteSquareSet OAI.TraceConeClassification.ExtendedTrace.mul_mem_finiteSquareSet_left OAI.TraceConeClassification.ExtendedTrace.isClosed_finiteIdeal OAI.TraceConeClassification.ExtendedTrace.mul_mem_finiteIdeal_left OAI.TraceConeClassification.ExtendedTrace.mul_mem_finiteIdeal_right OAI.TraceConeClassification.ExtendedTrace.lowerSemicontinuous_supportWeight OAI.TraceConeClassification.ClosedIdeal.weight_idempotent OAI.TraceConeClassification.ClosedIdeal.finiteIdeal_weight OAI.TraceConeClassification.ClosedIdeal.le_iff_add_weight OAI.TraceConeClassification.ExtendedTrace.idempotent_eq_weight OAI.TraceConeClassification.closedIdealEquivOfAdditive_weight

Lean statement file: TraceIdealTransportSupport.leanShow on the mapFamily 301. OpenAI lists this as a main result in its Lean catalogue.

The Lean statement

The lines of the Lean statement that state the theorem, then the definitions in the file that it uses.

theorem closed_ideal_weight_exists    (I : NonUnitalStarSubalgebra ℂ A) (hI : IsClosed (I : Set A))    (hleft : ∀ (x y : A), y ∈ I → x * y ∈ I)    (hright : ∀ (x y : A), x ∈ I → x * y ∈ I) :    ∃ τ : ExtendedTrace A, ∀ a : Positive A, τ a = if a.1 ∈ I then 0 else ∞ := by  sorrylemma zero_mem_finiteSquareSet : (0 : A) ∈ τ.finiteSquareSet := by sorrylemma star_mem_finiteSquareSet {x : A} (hx : x ∈ τ.finiteSquareSet) :    star x ∈ τ.finiteSquareSet := by sorrylemma smul_mem_finiteSquareSet (c : ℂ) {x : A} (hx : x ∈ τ.finiteSquareSet) :    c • x ∈ τ.finiteSquareSet := by sorrylemma add_mem_finiteSquareSet {x y : A}    (hx : x ∈ τ.finiteSquareSet) (hy : y ∈ τ.finiteSquareSet) :    x + y ∈ τ.finiteSquareSet := by sorrylemma mul_mem_finiteSquareSet_left (x : A) {y : A} (hy : y ∈ τ.finiteSquareSet) :    x * y ∈ τ.finiteSquareSet := by sorrylemma isClosed_finiteIdeal : IsClosed (τ.finiteIdeal : Set A) := by sorrylemma mul_mem_finiteIdeal_left (x : A) {y : A} (hy : y ∈ τ.finiteIdeal) :    x * y ∈ τ.finiteIdeal := by sorrylemma mul_mem_finiteIdeal_right {x : A} (hx : x ∈ τ.finiteIdeal) (y : A) :    x * y ∈ τ.finiteIdeal := by sorrylemma lowerSemicontinuous_supportWeight (τ : ExtendedTrace A) :    LowerSemicontinuous (fun a : Positive A => if τ a = 0 then (0 : ℝ≥0∞) else ∞) := by sorrytheorem weight_idempotent (I : ClosedIdeal A) : I.weight.add I.weight = I.weight := by sorrytheorem finiteIdeal_weight (I : ClosedIdeal A) : I.weight.finiteIdeal = I.1 := by sorrytheorem le_iff_add_weight (I J : ClosedIdeal A) :    I ≤ J ↔ I.weight.add J.weight = I.weight := by sorrytheorem idempotent_eq_weight {τ : ExtendedTrace A} (hτ : τ.add τ = τ) :    τ.finIdeal.weight = τ := by sorrylemma closedIdealEquivOfAdditive_weight (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) (I : ClosedIdeal A) :    (closedIdealEquivOfAdditive e he I).weight = e I.weight := by sorrytheorem idealOrderIso_finIdeal (τ : ExtendedTrace A) :    F.idealOrderIso τ.finIdeal = (F.toEquiv τ).finIdeal := by  sorrytheorem idealOrderIso_zeroIdeal (τ : ExtendedTrace A) :    F.idealOrderIso τ.zeroIdeal = (F.toEquiv τ).zeroIdeal := by  sorry

A Lean statement states the theorem and leaves its proof as sorry on purpose. OpenAI’s proof is in a separate solution module, and a program called Comparator checks that proof against this statement.

Definitions needed to read it

Local definitions the statement names, followed through the definitions they name in turn. The match is by name in the source text, so a name reached only through notation can be missed; the full file is below.

  • abbreviation OAI.TraceConeClassification.Positive line 12

    abbrev Positive := {a : A // 0 ≤ a}
  • definition OAI.TraceConeClassification.Positive.zero line 16

    def zero : Positive A := ⟨0, le_rfl⟩
  • definition OAI.TraceConeClassification.Positive.add line 17

    def add (a b : Positive A) : Positive A := ⟨a.1 + b.1, add_nonneg a.2 b.2⟩
  • definition OAI.TraceConeClassification.Positive.scale line 18

    def scale (r : ℝ≥0) (a : Positive A) : Positive A :=  ⟨(r : ℝ) • a.1, smul_nonneg r.2 a.2⟩
  • definition OAI.TraceConeClassification.Positive.starMul line 20

    def starMul (x : A) : Positive A := ⟨star x * x, star_mul_self_nonneg x⟩
  • definition OAI.TraceConeClassification.Positive.mulStar line 21

    def mulStar (x : A) : Positive A := ⟨x * star x, mul_star_self_nonneg x⟩
  • structure OAI.TraceConeClassification.ExtendedTrace line 27

    structure ExtendedTrace where  toFun : Positive A → ℝ≥0∞  map_zero : toFun Positive.zero = 0  map_add : ∀ a b, toFun (Positive.add a b) = toFun a + toFun b  map_scale : ∀ (r : ℝ≥0), 0 < r → ∀ a,    toFun (Positive.scale r a) = (r : ℝ≥0∞) * toFun a  tracial : ∀ x : A, toFun (Positive.starMul x) = toFun (Positive.mulStar x)  lowerSemicontinuous : LowerSemicontinuous toFun
  • definition OAI.TraceConeClassification.ExtendedTrace.finiteSquareSet line 70

    def finiteSquareSet : Set A := {x | τ (Positive.starMul x) < ∞}
  • definition OAI.TraceConeClassification.ExtendedTrace.finiteSquareAlgebra line 82

    def finiteSquareAlgebra : NonUnitalStarSubalgebra ℂ A where  carrier := τ.finiteSquareSet  zero_mem' := τ.zero_mem_finiteSquareSet  add_mem' := τ.add_mem_finiteSquareSet  smul_mem' := τ.smul_mem_finiteSquareSet  mul_mem' := fun _ hy => τ.mul_mem_finiteSquareSet_left _ hy  star_mem' := τ.star_mem_finiteSquareSet
  • definition OAI.TraceConeClassification.ExtendedTrace.finiteIdeal line 90

    def finiteIdeal : NonUnitalStarSubalgebra ℂ A := τ.finiteSquareAlgebra.topologicalClosure
  • definition OAI.TraceConeClassification.ClosedIdeal line 123

    def ClosedIdeal (A : Type u) [NonUnitalCStarAlgebra A] [PartialOrder A]    [StarOrderedRing A] :=  {I : NonUnitalStarSubalgebra ℂ A // IsClosed (I : Set A) ∧    (∀ (x y : A), y ∈ I → x * y ∈ I) ∧ (∀ (x y : A), x ∈ I → x * y ∈ I)}
  • definition OAI.TraceConeClassification.ExtendedTrace.finIdeal line 130

    def finIdeal (τ : ExtendedTrace A) : ClosedIdeal A :=  ⟨τ.finiteIdeal, τ.isClosed_finiteIdeal, fun x _ hy => τ.mul_mem_finiteIdeal_left x hy,    fun _ y hx => τ.mul_mem_finiteIdeal_right hx y⟩
  • definition OAI.TraceConeClassification.ExtendedTrace.supportWeight line 137

    def supportWeight (τ : ExtendedTrace A) : ExtendedTrace A where
    Show the remaining 10 lines
      toFun a := if τ a = 0 then 0 else ∞  map_zero := by simp [τ.map_zero]  map_add a b := by    rw [τ.map_add]    by_cases ha : τ a = 0 <;> by_cases hb : τ b = 0 <;> simp [ha, hb]  map_scale r hr a := by    rw [τ.map_scale r hr]    by_cases ha : τ a = 0 <;> simp [ha, ENNReal.coe_ne_zero.mpr hr.ne']  tracial x := by rw [τ.tracial x]  lowerSemicontinuous := τ.lowerSemicontinuous_supportWeight
  • definition OAI.TraceConeClassification.ExtendedTrace.zeroIdeal line 149

    def zeroIdeal (τ : ExtendedTrace A) : ClosedIdeal A := τ.supportWeight.finIdeal
  • definition OAI.TraceConeClassification.ClosedIdeal.weight line 155

    def weight (I : ClosedIdeal A) : ExtendedTrace A :=  (closed_ideal_weight_exists I.1 I.2.1 I.2.2.1 I.2.2.2).choose
  • definition OAI.TraceConeClassification.IdempotentTrace line 168

    def IdempotentTrace (A : Type u) [NonUnitalCStarAlgebra A] [PartialOrder A]    [StarOrderedRing A] := {τ : ExtendedTrace A // τ.add τ = τ}
  • definition OAI.TraceConeClassification.closedIdealEquivIdempotent line 171

    def closedIdealEquivIdempotent : ClosedIdeal A ≃ IdempotentTrace A where  toFun I := ⟨I.weight, I.weight_idempotent⟩  invFun τ := τ.1.finIdeal  left_inv I := Subtype.ext (ClosedIdeal.finiteIdeal_weight I)  right_inv τ := Subtype.ext (ExtendedTrace.idempotent_eq_weight τ.2)
  • definition OAI.TraceConeClassification.idempotentTraceEquiv line 179

    def idempotentTraceEquiv (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : IdempotentTrace A ≃ IdempotentTrace B where  toFun τ := ⟨e τ.1, by rw [← he, τ.2]⟩  invFun σ := ⟨e.symm σ.1, by    apply e.injective    rw [he, e.apply_symm_apply, σ.2]⟩  left_inv τ := Subtype.ext (e.symm_apply_apply τ.1)  right_inv σ := Subtype.ext (e.apply_symm_apply σ.1)
  • definition OAI.TraceConeClassification.closedIdealEquivOfAdditive line 188

    def closedIdealEquivOfAdditive (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : ClosedIdeal A ≃ ClosedIdeal B :=  closedIdealEquivIdempotent.trans ((idempotentTraceEquiv e he).trans    closedIdealEquivIdempotent.symm)
  • definition OAI.TraceConeClassification.closedIdealOrderEquivOfAdditive line 197

    def closedIdealOrderEquivOfAdditive (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : ClosedIdeal A ≃o ClosedIdeal B where  toEquiv := closedIdealEquivOfAdditive e he  map_rel_iff' := by    intro I J    rw [ClosedIdeal.le_iff_add_weight, ClosedIdeal.le_iff_add_weight,      closedIdealEquivOfAdditive_weight, closedIdealEquivOfAdditive_weight, ← he]    exact e.injective.eq_iff
  • definition OAI.TraceConeClassification.TraceConeEquiv.idealOrderIso line 222

    def idealOrderIso : ClosedIdeal A ≃o ClosedIdeal B :=  closedIdealOrderEquivOfAdditive F.toEquiv F.map_add

Possible paper match, with no recorded review

No paper statement clearly matched the Lean wording. Statement Map, the program that collects Atlas’s source records, selected this possible match using words in OpenAI’s catalogue and Lean note. No review of whether the statements mean the same thing is recorded.

Shared with the catalogue’s wording or OpenAI’s note, none of them matched in the Lean text: algebras, complex, cones, nuclear, separable and spatial.

Theorem 1.1 of The trace cone classifies Razak–Jacelon stabilizations

Theorem

Let A and B be separable nuclear complex C^*-algebras. If T(A) and T(B) are isomorphic as topological cones, then

A\otimes\W\otimes\K\ \cong\ B\otimes\W\otimes\K,

where \K=\K(\ell^2(\N)) and all tensor products are spatial.

Section 1, Introduction Read it in the paper TeX source, line 44
Show the TeX
Let \(A\) and \(B\) be separable nuclear complex \(C^*\)-algebras.
If \(T(A)\) and \(T(B)\) are isomorphic as topological cones, then
\[
 A\otimes\W\otimes\K\ \cong\ B\otimes\W\otimes\K,
\]
where \(\K=\K(\ell^2(\N))\) and all tensor products are spatial.

Other possible paper matches, closest wording first

  • Theorem 7.1 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: support, zero, weights, finite, trace and ideal. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: existence and models.
  • Theorem 5.2 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: unital, semicontinuous, zero, lower and ideal. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: meaning and infinite.
  • Theorem 2.1 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: real, order, topological, algebra, positive and trace. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: addition and tau.
  • Proposition 2 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: tracial, weight, semicontinuous, lower and positive. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: tau.
  • Proposition 4 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: order, closed, algebras, finite and ideal.
  • Proposition 5 of The trace cone classifies Razak–Jacelon stabilizations. Words of the Lean statement, its names split into words, that also appear in the theorem: unital, semicontinuous, lower and finite. Shared only with the release’s name for the Lean statement or OpenAI’s note on it: infinite and uniqueness.

How Atlas selects possible matches: it compares words in the Lean statement with every statement in the family. It also splits Lean names into words. The release’s label and note receive less weight; a main theorem wins a close match. If the Lean wording yields no clear match, Atlas uses the catalogue description. This selects passages to compare; it does not establish that they mean the same thing.

Reported Comparator runs

three independent groups report that Comparator accepted runs for this Lean statement file: Carlos Toledo’s cert-machine; MathVet; Neal McBurnett’s openai-math-lean-tooling. Each group reports its own Comparator run for this statement file. Atlas has not repeated the runs.

For a configured theorem, Comparator tests whether OpenAI’s proof proves the exact Lean statement. Some files instead configure definitions for comparison by name and type. Acceptance does not establish that the statement means the same thing as the paper’s theorem.

Carlos Toledo’s cert-machine

How they ran it, in their words

Every Comparator challenge re-run on Linux with nanoda switched on, decided by a preregistered rule; every family’s challenge statements read against OpenAI’s headline, clause by clause. Decider: Comparator (leanprover/comparator d03acab1 = tag v4.34.0, built with the release’s toolchain v4.34.1), lean4export 076e8e57, landrun 811cfff5, nanoda_lib 3a240721 — on GitHub’s Linux runners (.github/workflows/openai-math-kernel.yml), one j…

  • Accepted Their term: “CERTIFIED”.

    Re-run through Comparator with the independent nanoda kernel switched on: Lean’s kernel and nanoda both accept OpenAI’s solution.

    Reported 10 October 2026, at the release version shown here. Original verification report

MathVet

How they ran it, in their words

An independent, model-assisted, pre-referee reading of each family’s challenge statements against its headline claim under a published rubric (PROTOCOL.md), with its own Comparator runs per challenge. Its protocol describes a planned error-rate study; this import does not establish that the study has been completed.

  • Accepted Their term: “comparator-sandboxed-pass”.

    Re-run through Comparator in a sandboxed virtual machine: accepted.

    Reported 10 October 2026, at the release version shown here. Original verification report

Neal McBurnett’s openai-math-lean-tooling

How they ran it, in their words

Each challenge’s solution is built and checked by Comparator at the pinned release, on Lean leanprover/lean4:v4.34.1, recording the verdict, the check time and the peak memory; the run was still in progress at this snapshot (192 accepted, 224 pending).

  • Accepted Their term: “accepted”.

    Re-run through Comparator with the nanoda kernel as well as Lean’s: accepted (the check took 147 s; peak memory 6.5 GiB).

    Reported 10 October 2026, at the release version shown here. Original verification report

What an accepted Comparator run would establish

If Comparator is run under this configuration and accepts, the solution proves the configured theorem using only the allowed axioms, and the Lean kernel accepts every step.

This configuration lists no definition holes, so every definition the statement uses is compared as it is written in this file.

Allowed axioms: propext, Quot.sound, Classical.choice

Acceptance leaves open whether the Lean statement means the same thing as the paper’s theorem, whether the paper’s other claims are correct, and whether the result is new. Those questions require comparing the definitions and statements, reviewing the paper’s arguments, and reading the earlier literature.

Do family 301’s Lean statements express the advertised result?

These assessments compare all the family’s Lean statements with the whole result OpenAI describes in its catalogue. They do not assess this statement alone. Each group uses its own published rules.

MathVet and cert-machine agree on how much of the advertised result the Lean statements express.

  • MathVet

    Finds a supporting or a different result stated Their term: “supporting-only”.

    The challenge statements state a lemma or auxiliary result, not the headline. Their record

    Their note: The challenge states only the cone/ideal layer: for arbitrary complex C*-algebras A, B and a TraceConeEquiv F (an additive, scale-preserving bijection of extended-trace cones preserving canonical convergence), the induced order isomorphism of closed ideals sends finIdeal τ and zeroIdeal τ to finIdeal (F τ) and zeroIdeal (F τ), together with the 0/∞ ideal weights, additive idempotents and the order criterion I ≤ J ↔ τ_I + τ_J = τ_I. It contains no tensor product, no W or K, no separability/nuclearity and no *-isomorphism of algebras, so the classification (thm:main) is not stated; the content matches only the supporting Proposition 'Transport of ideals' (st:ideals).

    Definitions the group asks readers to compare with the paper: ExtendedTrace: standard extended lower-semicontinuous tracial weight on A₊ (τ(0)=0, additive, τ(rx)=rτ(x) only for r>0, τ(x*x)=τ(xx*), lsc); no density or semifiniteness assumption, matching the paper ; CanonicalConvergence / PreservesCanonicalConvergence / TraceConeEquiv: the cone topology is encoded as convergence of arbitrary filters (limsup of cuts ≤ σ ≤ liminf) instead of a TopologicalSpace, so 'homeomorphism' becomes 'bijection preserving this convergence in both directions'; matches the paper's net criterion but is a nonstandard encoding ; zeroIdeal: defined as finIdeal of the 0/∞-valued supportWeight (closure of {x | τ(x*x)=0}) rather than directly as the kernel ideal; nonstandard presentation, equivalent after unfolding ; [PartialOrder A] [StarOrderedRing A]: the C*-order is supplied by extra instance arguments instead of Mathlib's CStarAlgebra order; StarOrderedRing.le_iff forces the usual order (standard) ; ClosedIdeal.weight: Classical.choose from closed_ideal_weight_exists; only its forced values (0 on the ideal, ∞ off it) matter (standard) ; NonUnitalCStarAlgebra A: any complex C*-algebra, not nec. separable or nuclear; the supporting lemmas are more general than the paper's setting, which is harmless for a supporting result

  • Carlos Toledo’s cert-machine

    Finds a supporting or a different result stated Their term: “SUPPORT-ONLY”.

    The challenge statements state only supporting results. Their record

    Their note: The classification itself (spatial classification, stabilization models, norm uniqueness, intertwining).

Read the complete assessments on the family page.

OpenAI’s own note on what this Lean statement covers

“For each closed ideal $I$, it also constructs the trace that is zero on positive elements of $I$ and infinite elsewhere. These traces are exactly the additive idempotents, meaning $\tau+\tau=\tau$, and their addition recovers ideal inclusion. Spatial classification, existence of the stabilization models, norm uniqueness, and final intertwining are outside this supporting comparison.”

An AI agent drafted an interpretation of that note, classifying this statement as “states a supporting result”. No human review of the draft is recorded.

Supporting material

The complete Lean statement file

237 lines, copied from release version fd4aeeb. A name defined in this file links to its line; pointing at the name shows its definition.

Declared in this fileOpenAI’s library at fd4aeebOther linked names open the current documentation for Mathlib, Lean’s mathematical library.

Links in the file: 94 to its own declarations, 73 to Mathlib’s documentation. 45 declared names also link to the same declaration in OpenAI’s library. 3 identifiers stay plain because they resolve to no single declaration: variables Lean binds automatically, notation, or names the scan of the pinned sources did not find. OpenAI uses Mathlib version d13f23b. The linked documentation describes the current version, so names that have since changed may be missing there.

import Mathlibnamespace OAInoncomputable sectionopen Filter Topology Classicalopen scoped NNReal ENNRealnamespace TraceConeClassificationvariable (A : Type*) [NonUnitalCStarAlgebra A] [PartialOrder A] [StarOrderedRing A]abbrev Positive := {a : A // 0 ≤ a}namespace Positivevariable {A}def zero : Positive A := ⟨0, le_rfl⟩def add (a b : Positive A) : Positive A := ⟨a.1 + b.1, add_nonneg a.2 b.2⟩def scale (r : ℝ≥0) (a : Positive A) : Positive A :=  ⟨(r : ℝ) • a.1, smul_nonneg r.2 a.2⟩def starMul (x : A) : Positive A := ⟨star x * x, star_mul_self_nonneg x⟩def mulStar (x : A) : Positive A := ⟨x * star x, mul_star_self_nonneg x⟩def cut (a : Positive A) (ε : ℝ≥0) : Positive A :=  ⟨cfcₙ (fun t : ℝ => max (t - (ε : ℝ)) 0) a.1,    cfcₙ_nonneg (fun _ _ => le_max_right _ _)⟩end Positivestructure ExtendedTrace where  toFun : Positive A → ℝ≥0∞  map_zero : toFun Positive.zero = 0  map_add : ∀ a b, toFun (Positive.add a b) = toFun a + toFun b  map_scale : ∀ (r : ℝ≥0), 0 < r → ∀ a,    toFun (Positive.scale r a) = (r : ℝ≥0∞) * toFun a  tracial : ∀ x : A, toFun (Positive.starMul x) = toFun (Positive.mulStar x)  lowerSemicontinuous : LowerSemicontinuous toFuninstance : CoeFun (ExtendedTrace A) (fun _ => Positive A → ℝ≥0∞) :=  ⟨ExtendedTrace.toFun⟩def CanonicalConvergence {ι : Type*} (l : Filter ι) (τ : ι → ExtendedTrace A)    (σ : ExtendedTrace A) : Prop :=  ∀ (a : Positive A) (ε : ℝ≥0), 0 < ε →    Filter.limsup (fun i => τ i (Positive.cut a ε)) l ≤ σ a ∧    σ a ≤ Filter.liminf (fun i => τ i a) lvariable {A}namespace ExtendedTracedef scale (r : ℝ≥0) (τ : ExtendedTrace A) : ExtendedTrace A where  toFun a := (r : ℝ≥0∞) * τ a  map_zero := by rw [τ.map_zero, mul_zero]  map_add a b := by rw [τ.map_add, mul_add]  map_scale s hs a := by rw [τ.map_scale s hs]; ac_rfl  tracial x := by rw [τ.tracial x]  lowerSemicontinuous :=    (ENNReal.continuous_const_mul ENNReal.coe_ne_top).comp_lowerSemicontinuous      τ.lowerSemicontinuous (fun _ _ h => mul_le_mul_of_nonneg_left h bot_le)end ExtendedTrace-- The proof obligations below make the ideal and equivalence constructions well typed.theorem closed_ideal_weight_exists    (I : NonUnitalStarSubalgebra ℂ A) (hI : IsClosed (I : Set A))    (hleft : ∀ (x y : A), y ∈ I → x * y ∈ I)    (hright : ∀ (x y : A), x ∈ I → x * y ∈ I) :    ∃ τ : ExtendedTrace A, ∀ a : Positive A, τ a = if a.1 ∈ I then 0 else ∞ := by  sorrynamespace ExtendedTracevariable (τ : ExtendedTrace A)def finiteSquareSet : Set A := {x | τ (Positive.starMul x) < ∞}lemma zero_mem_finiteSquareSet : (0 : A) ∈ τ.finiteSquareSet := by sorrylemma star_mem_finiteSquareSet {x : A} (hx : x ∈ τ.finiteSquareSet) :    star x ∈ τ.finiteSquareSet := by sorrylemma smul_mem_finiteSquareSet (c : ℂ) {x : A} (hx : x ∈ τ.finiteSquareSet) :    c • x ∈ τ.finiteSquareSet := by sorrylemma add_mem_finiteSquareSet {x y : A}    (hx : x ∈ τ.finiteSquareSet) (hy : y ∈ τ.finiteSquareSet) :    x + y ∈ τ.finiteSquareSet := by sorrylemma mul_mem_finiteSquareSet_left (x : A) {y : A} (hy : y ∈ τ.finiteSquareSet) :    x * y ∈ τ.finiteSquareSet := by sorrydef finiteSquareAlgebra : NonUnitalStarSubalgebra ℂ A where  carrier := τ.finiteSquareSet  zero_mem' := τ.zero_mem_finiteSquareSet  add_mem' := τ.add_mem_finiteSquareSet  smul_mem' := τ.smul_mem_finiteSquareSet  mul_mem' := fun _ hy => τ.mul_mem_finiteSquareSet_left _ hy  star_mem' := τ.star_mem_finiteSquareSetdef finiteIdeal : NonUnitalStarSubalgebra ℂ A := τ.finiteSquareAlgebra.topologicalClosurelemma isClosed_finiteIdeal : IsClosed (τ.finiteIdeal : Set A) := by sorrylemma mul_mem_finiteIdeal_left (x : A) {y : A} (hy : y ∈ τ.finiteIdeal) :    x * y ∈ τ.finiteIdeal := by sorrylemma mul_mem_finiteIdeal_right {x : A} (hx : x ∈ τ.finiteIdeal) (y : A) :    x * y ∈ τ.finiteIdeal := by sorryend ExtendedTraceend TraceConeClassificationnamespace TraceConeClassificationuniverse u vvariable {A : Type u} [NonUnitalCStarAlgebra A] [PartialOrder A] [StarOrderedRing A]namespace ExtendedTracedef add (τ σ : ExtendedTrace A) : ExtendedTrace A where  toFun a := τ a + σ a  map_zero := by rw [τ.map_zero, σ.map_zero, add_zero]  map_add a b := by rw [τ.map_add, σ.map_add]; ac_rfl  map_scale r hr a := by rw [τ.map_scale r hr, σ.map_scale r hr, mul_add]  tracial x := by rw [τ.tracial x, σ.tracial x]  lowerSemicontinuous := τ.lowerSemicontinuous.add σ.lowerSemicontinuousdef zero : ExtendedTrace A where  toFun _ := 0  map_zero := rfl  map_add _ _ := (add_zero _).symm  map_scale _ _ _ := (mul_zero _).symm  tracial _ := rfl  lowerSemicontinuous := lowerSemicontinuous_constend ExtendedTracedef ClosedIdeal (A : Type u) [NonUnitalCStarAlgebra A] [PartialOrder A]    [StarOrderedRing A] :=  {I : NonUnitalStarSubalgebra ℂ A // IsClosed (I : Set A) ∧    (∀ (x y : A), y ∈ I → x * y ∈ I) ∧ (∀ (x y : A), x ∈ I → x * y ∈ I)}namespace ExtendedTracedef finIdeal (τ : ExtendedTrace A) : ClosedIdeal A :=  ⟨τ.finiteIdeal, τ.isClosed_finiteIdeal, fun x _ hy => τ.mul_mem_finiteIdeal_left x hy,    fun _ y hx => τ.mul_mem_finiteIdeal_right hx y⟩lemma lowerSemicontinuous_supportWeight (τ : ExtendedTrace A) :    LowerSemicontinuous (fun a : Positive A => if τ a = 0 then (0 : ℝ≥0∞) else ∞) := by sorrydef supportWeight (τ : ExtendedTrace A) : ExtendedTrace A where  toFun a := if τ a = 0 then 0 else ∞  map_zero := by simp [τ.map_zero]  map_add a b := by    rw [τ.map_add]    by_cases ha : τ a = 0 <;> by_cases hb : τ b = 0 <;> simp [ha, hb]  map_scale r hr a := by    rw [τ.map_scale r hr]    by_cases ha : τ a = 0 <;> simp [ha, ENNReal.coe_ne_zero.mpr hr.ne']  tracial x := by rw [τ.tracial x]  lowerSemicontinuous := τ.lowerSemicontinuous_supportWeightdef zeroIdeal (τ : ExtendedTrace A) : ClosedIdeal A := τ.supportWeight.finIdealend ExtendedTracenamespace ClosedIdealinstance : PartialOrder (ClosedIdeal A) := inferInstanceAs (PartialOrder (Subtype _))def weight (I : ClosedIdeal A) : ExtendedTrace A :=  (closed_ideal_weight_exists I.1 I.2.1 I.2.2.1 I.2.2.2).choosetheorem weight_idempotent (I : ClosedIdeal A) : I.weight.add I.weight = I.weight := by sorrytheorem finiteIdeal_weight (I : ClosedIdeal A) : I.weight.finiteIdeal = I.1 := by sorrytheorem le_iff_add_weight (I J : ClosedIdeal A) :    I ≤ J ↔ I.weight.add J.weight = I.weight := by sorryend ClosedIdealnamespace ExtendedTracetheorem idempotent_eq_weight {τ : ExtendedTrace A} (hτ : τ.add τ = τ) :    τ.finIdeal.weight = τ := by sorryend ExtendedTracedef IdempotentTrace (A : Type u) [NonUnitalCStarAlgebra A] [PartialOrder A]    [StarOrderedRing A] := {τ : ExtendedTrace A // τ.add τ = τ}def closedIdealEquivIdempotent : ClosedIdeal A ≃ IdempotentTrace A where  toFun I := ⟨I.weight, I.weight_idempotent⟩  invFun τ := τ.1.finIdeal  left_inv I := Subtype.ext (ClosedIdeal.finiteIdeal_weight I)  right_inv τ := Subtype.ext (ExtendedTrace.idempotent_eq_weight τ.2)variable {B : Type v} [NonUnitalCStarAlgebra B] [PartialOrder B] [StarOrderedRing B]def idempotentTraceEquiv (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : IdempotentTrace A ≃ IdempotentTrace B where  toFun τ := ⟨e τ.1, by rw [← he, τ.2]⟩  invFun σ := ⟨e.symm σ.1, by    apply e.injective    rw [he, e.apply_symm_apply, σ.2]⟩  left_inv τ := Subtype.ext (e.symm_apply_apply τ.1)  right_inv σ := Subtype.ext (e.apply_symm_apply σ.1)def closedIdealEquivOfAdditive (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : ClosedIdeal A ≃ ClosedIdeal B :=  closedIdealEquivIdempotent.trans ((idempotentTraceEquiv e he).trans    closedIdealEquivIdempotent.symm)lemma closedIdealEquivOfAdditive_weight (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) (I : ClosedIdeal A) :    (closedIdealEquivOfAdditive e he I).weight = e I.weight := by sorrydef closedIdealOrderEquivOfAdditive (e : ExtendedTrace A ≃ ExtendedTrace B)    (he : ∀ τ σ, e (τ.add σ) = (e τ).add (e σ)) : ClosedIdeal A ≃o ClosedIdeal B where  toEquiv := closedIdealEquivOfAdditive e he  map_rel_iff' := by    intro I J    rw [ClosedIdeal.le_iff_add_weight, ClosedIdeal.le_iff_add_weight,      closedIdealEquivOfAdditive_weight, closedIdealEquivOfAdditive_weight, ← he]    exact e.injective.eq_iffdef PreservesCanonicalConvergence (f : ExtendedTrace A → ExtendedTrace B) : Prop :=  ∀ (l : Filter (ExtendedTrace A)) (σ : ExtendedTrace A),    CanonicalConvergence A l id σ → CanonicalConvergence B l f (f σ)structure TraceConeEquiv (A : Type u) [NonUnitalCStarAlgebra A] [PartialOrder A]    [StarOrderedRing A] (B : Type v) [NonUnitalCStarAlgebra B] [PartialOrder B]    [StarOrderedRing B] where  toEquiv : ExtendedTrace A ≃ ExtendedTrace B  map_add : ∀ τ σ, toEquiv (τ.add σ) = (toEquiv τ).add (toEquiv σ)  map_zero : toEquiv ExtendedTrace.zero = ExtendedTrace.zero  map_scale : ∀ (r : ℝ≥0), 0 < r → ∀ τ, toEquiv (τ.scale r) = (toEquiv τ).scale r  continuous_toFun : PreservesCanonicalConvergence toEquiv  continuous_invFun : PreservesCanonicalConvergence toEquiv.symmnamespace TraceConeEquivvariable (F : TraceConeEquiv A B)def idealOrderIso : ClosedIdeal A ≃o ClosedIdeal B :=  closedIdealOrderEquivOfAdditive F.toEquiv F.map_addtheorem idealOrderIso_finIdeal (τ : ExtendedTrace A) :    F.idealOrderIso τ.finIdeal = (F.toEquiv τ).finIdeal := by  sorrytheorem idealOrderIso_zeroIdeal (τ : ExtendedTrace A) :    F.idealOrderIso τ.zeroIdeal = (F.toEquiv τ).zeroIdeal := by  sorryend TraceConeEquivend TraceConeClassificationendend OAI
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The trace cone classifies Razak–Jacelon stabilizations

Theorem

Let A and B be separable nuclear complex C^*-algebras. If T(A) and T(B) are isomorphic as topological cones, then

A\otimes\W\otimes\K\ \cong\ B\otimes\W\otimes\K,

where \K=\K(\ell^2(\N)) and all tensor products are spatial.

Section 1, Introduction Read it in the paper TeX source, line 44
Show the TeX
Let \(A\) and \(B\) be separable nuclear complex \(C^*\)-algebras.
If \(T(A)\) and \(T(B)\) are isomorphic as topological cones, then
\[
 A\otimes\W\otimes\K\ \cong\ B\otimes\W\otimes\K,
\]
where \(\K=\K(\ell^2(\N))\) and all tensor products are spatial.
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Allowed axioms
propext, Quot.sound, Classical.choiceThe axioms this configuration allows a proof to use. A replay shows which of them a proof uses.
Imports
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None
Local vocabulary
30 local vocabulary declarations
Lines of Lean, without comments or blank lines
158
Second proof-verification program (nanoda)
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Plectis Atlas

Transport of trace ideals and their additive-idempotent description

Family 301: Trace cones and Razak–Jacelon stabilization

Candidate pairing

Theorem

Let A and B be separable nuclear complex C^*-algebras. If T(A) and T(B) are isomorphic as topological cones, then

A\otimes\W\otimes\K\ \cong\ B\otimes\W\otimes\K,

where \K=\K(\ell^2(\N)) and all tensor products are spatial.

The trace cone classifies Razak–Jacelon stabilizations

TeX label thm:main, build/sections/01-introduction.tex, line 44

The Lean statement says

theorem closed_ideal_weight_exists    (I : NonUnitalStarSubalgebra ℂ A) (hI : IsClosed (I : Set A))    (hleft : ∀ (x y : A), y ∈ I → x * y ∈ I)    (hright : ∀ (x y : A), x ∈ I → x * y ∈ I) :    ∃ τ : ExtendedTrace A, ∀ a : Positive A, τ a = if a.1 ∈ I then 0 else ∞ := by  sorrylemma zero_mem_finiteSquareSet : (0 : A) ∈ τ.finiteSquareSet := by sorrylemma star_mem_finiteSquareSet {x : A} (hx : x ∈ τ.finiteSquareSet) :    star x ∈ τ.finiteSquareSet := by sorrylemma smul_mem_finiteSquareSet (c : ℂ) {x : A} (hx : x ∈ τ.finiteSquareSet) :    c • x ∈ τ.finiteSquareSet := by sorrylemma add_mem_finiteSquareSet {x y : A}    (hx : x ∈ τ.finiteSquareSet) (hy : y ∈ τ.finiteSquareSet) :    x + y ∈ τ.finiteSquareSet := by sorrylemma mul_mem_finiteSquareSet_left (x : A) {y : A} (hy : y ∈ τ.finiteSquareSet) :    x * y ∈ τ.finiteSquareSet := by sorrylemma isClosed_finiteIdeal : IsClosed (τ.finiteIdeal : Set A) := by sorrylemma mul_mem_finiteIdeal_left (x : A) {y : A} (hy : y ∈ τ.finiteIdeal) :

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30 local vocabulary declarationsAllowed axioms: propext, Quot.sound, Classical.choiceopenai/math at fd4aeebwcook04.github.io/plectis-atlas/statements/TraceIdealTransportSupport.html

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