openAI-math-dataset / lean /OAI /Analysis /JiangSu /DimensionFunctions /DimensionContentMeasure.lean
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import Mathlib
import OAI.Analysis.TracialSplitting.PreparedBlocks
import OAI.Analysis.JiangSu.DimensionFunctions.DimensionContent
import OAI.Analysis.JiangSu.CStarAlgebras.ContinuousOrthogonalSeparation
namespace OAI
noncomputable section
namespace Pureness
open Set TopologicalSpace MeasureTheory
open scoped NNReal ENNReal
variable {X : Type*} [TopologicalSpace X] [T2Space X] [NormalSpace X]
lemma dimensionCompactCapacity_sup_disjoint (r : C(X, ℝ≥0) → ℝ≥0∞)
(hmono : Monotone r) (hsub : ∀ f g, r (f+g) ≤ r f+r g)
(horth : ∀ f g, f*g = 0 → r (f+g) = r f+r g)
(K L : Compacts X) (hKL : Disjoint (K : Set X) L) :
dimensionCompactCapacity r (K ⊔ L) = dimensionCompactCapacity r K + dimensionCompactCapacity r L := by
apply le_antisymm (dimensionCompactCapacity_sup_le r hsub K L)
obtain ⟨u,v,hu,hv,hu1,hv1,huv⟩ := continuous_nnreal_orthogonal_separators K.isCompact.isClosed L.isCompact.isClosed hKL
apply le_iInf₂
intro f hf
have hfu : ∀ x ∈ K, 1 ≤ (f*u) x := by
intro x hx
simpa only [ContinuousMap.mul_apply,hu x hx,mul_one] using hf x (Or.inl hx)
have hfv : ∀ x ∈ L, 1 ≤ (f*v) x := by
intro x hx
simpa only [ContinuousMap.mul_apply,hv x hx,mul_one] using hf x (Or.inr hx)
have huv1 : u+v ≤ 1 := by
intro x
change u x+v x ≤ 1
have hz : u x*v x = 0 := congrArg (fun g : C(X, ℝ≥0) => g x) huv
rcases mul_eq_zero.mp hz with hz | hz
· rw [hz,zero_add]
exact hv1 x
· rw [hz,add_zero]
exact hu1 x
have horth' : (f*u)*(f*v) = 0 := by
calc
(f*u)*(f*v) = (f*f)*(u*v) := by ring
_ = 0 := by rw [huv,mul_zero]
calc
dimensionCompactCapacity r K + dimensionCompactCapacity r L ≤ r (f*u)+r (f*v) :=
add_le_add (dimensionCompactCapacity_le r K (f*u) hfu) (dimensionCompactCapacity_le r L (f*v) hfv)
_ = r (f*u+f*v) := (horth (f*u) (f*v) horth').symm
_ ≤ r f := hmono (by
intro x
change f x*u x+f x*v x ≤ f x
have h := mul_le_mul_of_nonneg_left (huv1 x) (show 0 ≤ f x from bot_le)
change f x*(u x+v x) ≤ f x*1 at h
simpa only [mul_add,mul_one] using h)
def dimensionContent (r : C(X, ℝ≥0) → ℝ≥0∞) (hfinite : r 1 ≠ ⊤)
(hmono : Monotone r) (hsub : ∀ f g, r (f+g) ≤ r f+r g)
(horth : ∀ f g, f*g = 0 → r (f+g) = r f+r g) : Content X where
toFun K := (dimensionCompactCapacity r K).toNNReal
mono' K L h := ENNReal.toNNReal_mono (dimensionCompactCapacity_ne_top r hfinite L)
(dimensionCompactCapacity_mono r h)
sup_disjoint' K L h _ _ := by
rw [dimensionCompactCapacity_sup_disjoint r hmono hsub horth K L h,
ENNReal.toNNReal_add (dimensionCompactCapacity_ne_top r hfinite K) (dimensionCompactCapacity_ne_top r hfinite L)]
sup_le' K L := by
rw [← ENNReal.toNNReal_add (dimensionCompactCapacity_ne_top r hfinite K) (dimensionCompactCapacity_ne_top r hfinite L)]
exact ENNReal.toNNReal_mono (ENNReal.add_ne_top.mpr ⟨dimensionCompactCapacity_ne_top r hfinite K,
dimensionCompactCapacity_ne_top r hfinite L⟩) (dimensionCompactCapacity_sup_le r hsub K L)
lemma dimensionContent_apply (r : C(X, ℝ≥0) → ℝ≥0∞) (hfinite : r 1 ≠ ⊤)
(hmono : Monotone r) (hsub : ∀ f g, r (f+g) ≤ r f+r g)
(horth : ∀ f g, f*g = 0 → r (f+g) = r f+r g) (K : Compacts X) :
dimensionContent r hfinite hmono hsub horth K = dimensionCompactCapacity r K :=
ENNReal.coe_toNNReal (dimensionCompactCapacity_ne_top r hfinite K)
end Pureness
namespace Pureness
open Set TopologicalSpace MeasureTheory
open scoped NNReal ENNReal
variable {X : Type*} [TopologicalSpace X]
def continuousNNRealCut (ε : ℝ≥0) (f : C(X, ℝ≥0)) : C(X, ℝ≥0) :=
⟨fun x => f x-ε, f.continuous.sub continuous_const⟩
variable [CompactSpace X] [T2Space X] [MeasurableSpace X] [BorelSpace X]
theorem dimensionContent_measure_support
(r : C(X, ℝ≥0) → ℝ≥0∞) (hfinite : r 1 ≠ ⊤)
(hmono : Monotone r) (hsub : ∀ f g, r (f+g) ≤ r f+r g)
(horth : ∀ f g, f*g = 0 → r (f+g) = r f+r g)
(hsupport : ∀ f g, (∀ x, 0 < f x → 0 < g x) → r f ≤ r g)
(hcuts : ∀ f, r f = ⨆ (ε : ℝ≥0) (_ : 0 < ε), r (continuousNNRealCut ε f))
(f : C(X, ℝ≥0)) :
(dimensionContent r hfinite hmono hsub horth).measure {x | 0 < f x} = r f := by
let c := dimensionContent r hfinite hmono hsub horth
have hU : IsOpen {x | 0 < f x} := isOpen_lt continuous_const f.continuous
rw [Content.measure_apply _ hU.measurableSet,Content.outerMeasure_of_isOpen _ _ hU]
apply le_antisymm
· apply iSup₂_le
intro K hK
obtain ⟨g,hgK,hgc,hgU,hg⟩ := exists_continuousMap_one_of_isCompact_subset_isOpen K.isCompact hU hK
let g' : C(X, ℝ≥0) := ⟨fun x => (g x).toNNReal, continuous_real_toNNReal.comp g.continuous⟩
have hg'K : ∀ x ∈ K, 1 ≤ g' x := by
intro x hx
change 1 ≤ (g x).toNNReal
rw [hgK hx]
norm_num
rw [dimensionContent_apply]
apply (dimensionCompactCapacity_le r K g' hg'K).trans
apply hsupport
intro x hx
apply hgU
apply subset_closure
change g x ≠ 0
have hp : 0 < g x := Real.toNNReal_pos.mp hx
exact hp.ne'
· rw [hcuts f]
apply iSup₂_le
intro ε hε
let K : Compacts X := ⟨{x | ε ≤ f x}, (isClosed_le continuous_const f.continuous).isCompact⟩
have hKU : (K : Set X) ⊆ {x | 0 < f x} := fun x hx => hε.trans_le hx
apply le_trans _ (c.le_innerContent K ⟨_,hU⟩ hKU)
rw [dimensionContent_apply]
apply le_iInf₂
intro g hg
apply hsupport
intro x hx
have hxε : ε < f x := tsub_pos_iff_lt.mp hx
exact zero_lt_one.trans_le (hg x hxε.le)
end Pureness
end
end OAI