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Add lean source and binary files (part 69)
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import Mathlib
import OAI.Geometry.IntegralFillings.Currents.WeakMass
namespace OAI
section
open Set Filter MeasureTheory
open scoped Topology ENNReal NNReal
namespace SharpIntegralFillings
attribute [local instance] Classical.propDecidable
universe u
section Foundations
variable {X : Type u} [MetricSpace X] [MeasurableSpace X]
open scoped BoundedContinuousFunction
variable [BorelSpace X]
lemma summable_actions_of_summable_masses [CompactSpace X]
{k : ℕ} {Ts : ℕ → Functional X k} (hTs : ∀ j, IsMetricCurrent (Ts j))
(hsum : Summable fun j => mass (Ts j)) {b : X → ℝ} {π : Fin k → X → ℝ}
(h : Admissible b π) : Summable fun j => Ts j b π := by
choose K hK using h.2
obtain ⟨M, hM⟩ := h.1.2
apply (hsum.mul_left ((∏ i, (K i : ℝ)) * M)).of_norm_bounded
intro j
exact (hTs j).mass_bound_uniform h.1 K hK hM
end Foundations
lemma tendsto_of_lipschitz_dense {A : Type*} [PseudoMetricSpace A]
{ι : Type*} {l : Filter ι} {f : ι → A → ℝ} {g : A → ℝ}
{K : ℝ≥0} (hf : ∀ j, LipschitzWith K (f j)) (hg : LipschitzWith K g)
{κ : Type*} {D : κ → A} (hD : DenseRange D)
(hlim : ∀ i, Tendsto (fun j => f j (D i)) l (𝓝 (g (D i))))
(x : A) : Tendsto (fun j => f j x) l (𝓝 (g x)) := by
apply Metric.tendsto_nhds.mpr
intro ε hε
let δ : ℝ := ε / (4 * ((K : ℝ) + 1))
have hδ : 0 < δ := div_pos hε (by positivity)
obtain ⟨i, hi⟩ := hD.exists_dist_lt x hδ
have hdr : (K : ℝ) * dist x (D i) < ε / 4 := by
have hpos : 0 < (K : ℝ) + 1 := by positivity
have hm := (mul_lt_mul_of_pos_left hi hpos)
have heq : ((K : ℝ) + 1) * δ = ε / 4 := by
dsimp [δ]
field_simp
rw [heq] at hm
calc (K : ℝ) * dist x (D i) ≤ ((K : ℝ) + 1) * dist x (D i) := by
nlinarith [dist_nonneg (x := x) (y := D i)]
_ < _ := hm
filter_upwards [(Metric.tendsto_nhds.mp (hlim i)) (ε / 2) (half_pos hε)] with j hj
calc dist (f j x) (g x) ≤
dist (f j x) (f j (D i)) + dist (f j (D i)) (g (D i)) + dist (g (D i)) (g x) :=
(dist_triangle _ (g (D i)) _).trans (add_le_add (dist_triangle _ (f j (D i)) _) le_rfl)
_ < ε / 4 + ε / 2 + ε / 4 := by
apply add_lt_add
· exact add_lt_add ((hf j).dist_le_mul x (D i) |>.trans_lt hdr) hj
· rw [dist_comm]
exact (hg.dist_le_mul x (D i)).trans_lt hdr
_ = ε := by ring
namespace BorelCoefficients
variable {X : Type u} [MetricSpace X] [CompactSpace X]
def lipAlgebra : Subalgebra ℝ C(X, ℝ) where
carrier := {f | BoundedLip f}
algebraMap_mem' r := BoundedLip.const r
add_mem' hf hg := BoundedLip.add hf hg
mul_mem' hf hg := BoundedLip.mul hf hg
lemma lipAlgebra_separates : (lipAlgebra (X := X)).SeparatesPoints := by
intro x y hxy
let f : C(X, ℝ) := ⟨fun z => dist z x, continuous_id.dist continuous_const⟩
have hf : BoundedLip f := by
refine ⟨⟨1, LipschitzWith.dist_left x⟩, ‖f‖, ?_⟩
intro z
exact (ContinuousMap.norm_coe_le_norm f z)
refine ⟨f, ⟨f, hf, rfl⟩, ?_⟩
change dist x x ≠ dist y x
simpa only [dist_self, ne_eq, eq_comm, dist_eq_zero] using hxy.symm
lemma lipAlgebra_dense : DenseRange (fun f : lipAlgebra (X := X) => (f : C(X, ℝ))) := by
rw [denseRange_iff_closure_range]
rw [Subtype.range_coe_subtype]
change closure (lipAlgebra (X := X) : Set C(X, ℝ)) = univ
have h := ContinuousMap.subalgebra_topologicalClosure_eq_top_of_separatesPoints
(lipAlgebra (X := X)) lipAlgebra_separates
exact congrArg (fun A : Subalgebra ℝ C(X, ℝ) => (A : Set C(X, ℝ))) h
variable [MeasurableSpace X] [BorelSpace X] (μ : Measure X) [IsFiniteMeasure μ]
noncomputable def lipToL1 : lipAlgebra (X := X) →ₗ[ℝ] Lp ℝ 1 μ :=
(ContinuousMap.toLp 1 μ ℝ).toLinearMap.comp (lipAlgebra (X := X)).val.toLinearMap
lemma lipToL1_dense : DenseRange (lipToL1 μ) := by
apply (ContinuousMap.toLp_denseRange ℝ μ ℝ (by simp : (1 : ℝ≥0∞) ≠ ∞)).comp
lipAlgebra_dense (ContinuousMap.toLp 1 μ ℝ).continuous
lemma norm_lipToL1 (f : lipAlgebra (X := X)) :
‖lipToL1 μ f‖ = ∫ x, |f.val x| ∂μ := by
rw [L1.norm_eq_integral_norm]
apply integral_congr_ae
filter_upwards [ContinuousMap.coeFn_toLp (p := 1) (𝕜 := ℝ) μ f.val] with x hx
change ‖(ContinuousMap.toLp 1 μ ℝ f.val) x‖ = |f.val x|
rw [hx, Real.norm_eq_abs]
lemma exists_lipschitz_approximation {b : X → ℝ} (hb : Integrable b μ) :
∃ f : ℕ → lipAlgebra (X := X),
Tendsto (fun j => ∫ x, |(f j).val x-b x| ∂μ) atTop (𝓝 0) := by
obtain ⟨u,hu,hulim⟩ := mem_closure_iff_seq_limit.mp ((lipToL1_dense μ) hb.toL1)
choose f hf using hu
have hfun : (fun j => lipToL1 μ (f j)) = u := funext hf
have hf := hfun ▸ hulim
refine ⟨f,?_⟩
have hnorm := (tendsto_iff_norm_sub_tendsto_zero).mp hf
convert hnorm using 1
funext j
rw [L1.norm_eq_integral_norm]
apply integral_congr_ae
filter_upwards [Lp.coeFn_sub (lipToL1 μ (f j)) hb.toL1,
ContinuousMap.coeFn_toLp (p := 1) (𝕜 := ℝ) μ (f j).val,
hb.coeFn_toL1] with x hx hfx hbx
change |(f j).val x-b x| = ‖(lipToL1 μ (f j)-hb.toL1) x‖
rw [hx]
change _ = ‖(ContinuousMap.toLp 1 μ ℝ (f j).val) x - (hb.toL1) x‖
rw [hfx,hbx,Real.norm_eq_abs]
lemma test_inequality_of_lipschitz
{ν : Measure X} [IsFiniteMeasure ν] (hν : ν ≤ μ)
(A : (X → ℝ) → ℝ) {C : ℝ}
(hA : ∀ f g, Integrable f μ → Integrable g μ →
|A f-A g| ≤ C * ∫ x, |f x-g x| ∂μ)
(hbound : ∀ f, BoundedLip f → |A f| ≤ ∫ x, |f x| ∂ν)
{b : X → ℝ} (hb : Integrable b μ) :
|A b| ≤ ∫ x, |b x| ∂ν := by
obtain ⟨f,hf⟩ := exists_lipschitz_approximation μ hb
have hfi (j : ℕ) : Integrable ((f j).val) μ :=
(f j).val.continuous.integrable_of_hasCompactSupport (HasCompactSupport.of_compactSpace _)
have hflim : Tendsto (fun j => A (f j).val) atTop (𝓝 (A b)) := by
apply tendsto_iff_dist_tendsto_zero.mpr
apply squeeze_zero (fun j => dist_nonneg) (fun j => ?_) (by simpa using hf.const_mul C)
simpa only [Real.dist_eq] using hA _ _ (hfi j) hb
have hib : Integrable b ν := hb.mono_measure hν
have hfint : Tendsto (fun j => ∫ x, |(f j).val x| ∂ν) atTop (𝓝 (∫ x, |b x| ∂ν)) := by
apply tendsto_iff_dist_tendsto_zero.mpr
apply squeeze_zero (fun j => dist_nonneg) (fun j => ?_) hf
rw [Real.dist_eq,←integral_sub ((hfi j).mono_measure hν).abs hib.abs]
calc |∫ x, |(f j).val x|-|b x| ∂ν| ≤ ∫ x, abs (|(f j).val x|-|b x|) ∂ν := by
simpa only [Real.norm_eq_abs] using norm_integral_le_integral_norm
(fun x => |(f j).val x|-|b x|)
_ ≤ ∫ x, |(f j).val x-b x| ∂ν :=
integral_mono_ae (((hfi j).mono_measure hν).abs.sub hib.abs).abs
(((hfi j).mono_measure hν).sub hib).abs
(Eventually.of_forall fun x => abs_abs_sub_abs_le _ _)
_ ≤ ∫ x, |(f j).val x-b x| ∂μ :=
integral_mono_measure hν (Eventually.of_forall fun _ => abs_nonneg _)
((hfi j).sub hb).abs
exact le_of_tendsto_of_tendsto hflim.abs hfint
(Eventually.of_forall fun j => hbound _ (f j).property)
end BorelCoefficients
end SharpIntegralFillings
end
end OAI