openAI-math-dataset / lean /OAI /Analysis /Cuntz /Commutative.lean
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import OAI.Analysis.Cuntz.Content
import OAI.Analysis.Cuntz.RegularizedState
namespace OAI
noncomputable section
/-! Commutative dimension contents and continuous positive functions. -/
section
open scoped Matrix CStarAlgebra
namespace Kaplansky
attribute [local instance] Classical.propDecidable
attribute [local instance] CStarAlgebra.spectralOrder CStarAlgebra.spectralOrderedRing
variable {A X : Type*} [CStarAlgebra A] [TopologicalSpace X]
/-- Transport the existing regularized dimension through a real star algebra
homomorphism. On negative functions the auxiliary value is zero and is unused. -/
def CuntzDimensionState.continuousDimension (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) : PositiveDimensionFunctional X where
toFun f := if hf : 0 ≤ f then d.regularized ⟨n, CStarMatrix.ofMatrix.symm (φ f), map_nonneg φ hf⟩ else 0
nonneg f hf := by simp only [dite_eq_left hf]; exact d.regularized_nonneg _
mono f g hf hfg := by
simp only [dite_eq_left hf, dite_eq_left (hf.trans hfg)]
exact d.regularized_mono (cuntzLE_of_nonneg_le (map_nonneg φ hf) (OrderHomClass.mono φ hfg))
subadd f g hf hg := by
simp only [dite_eq_left hf, dite_eq_left hg, dite_eq_left (add_nonneg hf hg), map_add]
exact d.regularized_sum_le _ _ (map_nonneg φ hf) (map_nonneg φ hg)
orthogonal f g hf hg hfg := by
simp only [dite_eq_left hf, dite_eq_left hg, dite_eq_left (add_nonneg hf hg), map_add]
apply d.regularized_orthogonal_add _ _ (map_nonneg φ hf) (map_nonneg φ hg)
rw [← map_mul, hfg, map_zero]
@[simp] theorem CuntzDimensionState.continuousDimension_apply (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) (f : C(X, ℝ)) (hf : 0 ≤ f) :
(d.continuousDimension φ).toFun f =
d.regularized ⟨n, CStarMatrix.ofMatrix.symm (φ f), map_nonneg φ hf⟩ := by
simp [continuousDimension, hf]
/-- A compact content constructed from the SAME ambient dimension state. -/
def CuntzDimensionState.commutativeContent (d : CuntzDimensionState A) [NormalSpace X] {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) : MeasureTheory.Content X :=
(d.continuousDimension φ).content
theorem CuntzDimensionState.continuousDimension_one (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) :
(d.continuousDimension φ).toFun 1 = n := by
rw [d.continuousDimension_apply φ 1 zero_le_one]
rw [← d.regularized_unit n]
apply d.regularized_eq
change CuntzEquivalent (CStarMatrix.ofMatrix.symm (φ 1)) 1
rw [map_one]
exact .refl _
end Kaplansky
end
open scoped Matrix CStarAlgebra
namespace Kaplansky
attribute [local instance] CStarAlgebra.spectralOrder CStarAlgebra.spectralOrderedRing
variable {A X : Type*} [CStarAlgebra A] [TopologicalSpace X]
namespace CuntzDimensionState
theorem continuousDimension_scaleInvariant (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) :
(d.continuousDimension φ).ScaleInvariant := by
intro f hf r hr
rw [d.continuousDimension_apply φ f hf,
d.continuousDimension_apply φ (r • f) (fun x => mul_nonneg hr.le (hf x))]
apply d.regularized_eq
change CuntzEquivalent (CStarMatrix.ofMatrix.symm (φ (r • f))) _
rw [map_smul]
exact cuntzEquivalent_pos_smul (φ f) hr
theorem continuousDimension_lowerSemicontinuous (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) (hφ : Continuous φ) :
(d.continuousDimension φ).ConeLowerSemicontinuous := by
let g : {f : C(X, ℝ) // 0 ≤ f} → {a : CStarMatrix (Fin n) (Fin n) A // 0 ≤ a} :=
fun f => ⟨φ f.val, map_nonneg φ f.property⟩
have hg : Continuous g := (hφ.comp continuous_subtype_val).subtype_mk _
have h := (d.regularized_lowerSemicontinuous n).comp hg
change LowerSemicontinuous (fun f : {f : C(X, ℝ) // 0 ≤ f} => (d.continuousDimension φ).toFun f.val)
have he : (fun f : {f : C(X, ℝ) // 0 ≤ f} => (d.continuousDimension φ).toFun f.val) =
(fun f : {f : C(X, ℝ) // 0 ≤ f} => d.regularized ⟨n, CStarMatrix.ofMatrix.symm (φ f.val), map_nonneg φ f.property⟩) := by
funext f
exact d.continuousDimension_apply φ f.val f.property
rw [he]
exact h
variable [CompactSpace X] [NormalSpace X] [R1Space X] [MeasurableSpace X] [BorelSpace X]
/-- The measure of a positive support is the actual regularized ambient
Cuntz dimension of its image, with no functional or measure-existence premise. -/
theorem continuousDimension_measure_positive_support (d : CuntzDimensionState A) {n : ℕ}
(φ : C(X, ℝ) →⋆ₐ[ℝ] CStarMatrix (Fin n) (Fin n) A) (hφ : Continuous φ)
(f : C(X, ℝ)) (hf : 0 ≤ f) :
(d.continuousDimension φ).measure {x | 0 < f x} =
ENNReal.ofReal (d.regularized ⟨n, CStarMatrix.ofMatrix.symm (φ f), map_nonneg φ hf⟩) := by
rw [← d.continuousDimension_apply φ f hf]
exact (d.continuousDimension φ).measure_positive_support
(d.continuousDimension_scaleInvariant φ) (d.continuousDimension_lowerSemicontinuous φ hφ) f hf
end CuntzDimensionState
end Kaplansky
end
end OAI