`BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable` (pi : C(Y, ℂ) →⋆ₐ[ℂ] (H →L[ℂ] H)) : ∃ (S : Set H) (mu : S → Measure Y) (V : ∀ x : S,...

Proved

BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable

by leonardopedro · Oct 17, 2026 · Mathlib 0df444a (Lean v4.33.1)

theoremstimepiece

Prove the following Lean 4 theorem from ChapterSeparableSpectrum.

BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable (pi : C(Y, ℂ) →⋆ₐ[ℂ] (H →L[ℂ] H)) : ∃ (S : Set H) (mu : S → Measure Y) (V : ∀ x : S, Lp ℂ 2 (mu x) →ₗᵢ[ℂ] H), (∀ x : S, IsProbabilityMeasure (mu x)) ∧ IsHilbertSum ℂ (fun x : S => Lp ℂ 2 (mu x)) V ∧ (∀ (x : S) (g : C(Y, ℂ)) (u : Lp ℂ 2 (mu x)), V x (mulRep (mu x) g u) = pi g (V x u)) ∧ (∀ x : S, ∃ _ : IsProbabilityMeasure (mu x), RealizesStandardType (mu x))

Formalization note: Lean 4 identifier BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable.

Preamble

-- Generated from ChapterSeparableSpectrum.lean — theorem BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable
import Definitions.Def_ChapterAbelianGelfandModel
import Definitions.Def_ChapterAbelianDirectSum
import Definitions.Def_ChapterStandardBorelClassification
import Mathlib
import Definitions.Def_ChapterSeparableSpectrum
open BookProof.ChapterSeparableSpectrum


noncomputable section

open MeasureTheory TopologicalSpace WeakDual


open BookProof.ChapterAbelianGelfandModel BookProof.ChapterAbelianDirectSum
open BookProof.ChapterStandardBorelClassification

variable (Y : Type*) [TopologicalSpace Y] [CompactSpace Y] [T2Space Y]
variable {Y : Type*} [TopologicalSpace Y] [CompactSpace Y] [T2Space Y]
  [SeparableSpace C(Y, ℂ)] [MeasurableSpace Y] [BorelSpace Y]
variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]

Formal statement

theorem BookProof.ChapterSeparableSpectrum.abelian_multiplication_model_classified_separable (pi : C(Y, ℂ) →⋆ₐ[ℂ] (H →L[ℂ] H)) :
    ∃ (S : Set H) (mu : S → Measure Y) (V : ∀ x : S, Lp ℂ 2 (mu x) →ₗᵢ[ℂ] H),
      (∀ x : S, IsProbabilityMeasure (mu x)) ∧
      IsHilbertSum ℂ (fun x : S => Lp ℂ 2 (mu x)) V ∧
      (∀ (x : S) (g : C(Y, ℂ)) (u : Lp ℂ 2 (mu x)),
        V x (mulRep (mu x) g u) = pi g (V x u)) ∧
      (∀ x : S, ∃ _ : IsProbabilityMeasure (mu x), RealizesStandardType (mu x)) := by sorry

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