import Mathlib import OAI.Geometry.IntegralFillings.Model namespace OAI section open Filter Set open Set Filter MeasureTheory TopologicalSpace open scoped Topology ENNReal open Set MeasureTheory open scoped RealInnerProductSpace open Matrix open scoped RealInnerProductSpace MatrixOrder open Set Filter MeasureTheory open scoped Topology ENNReal NNReal open MeasureTheory Filter Set Metric open scoped Topology Pointwise NNReal open Set MeasureTheory Measure Filter Module open Set Filter MeasureTheory Measure ContinuousLinearMap open scoped Topology Convolution NNReal open Set Filter MeasureTheory Measure Metric open scoped Topology ContDiff open Set Filter Metric open scoped Topology NNReal namespace SharpIntegralFillings variable {E : Type*} [PseudoMetricSpace E] lemma lipschitzOn_limit {s : Set E} {K : ℝ≥0} {fs : ℕ → E → ℝ} {f : E → ℝ} (hs : ∀ j, LipschitzOnWith K (fs j) s) (hl : ∀ x ∈ s, Tendsto (fun j => fs j x) atTop (𝓝 (f x))) : LipschitzOnWith K f s := by apply LipschitzOnWith.of_dist_le_mul intro x hx y hy exact le_of_tendsto ((hl x hx).dist (hl y hy)) (Eventually.of_forall fun j => (hs j).dist_le_mul x hx y hy) lemma uniform_limit_on_totallyBounded {s : Set E} (hs : TotallyBounded s) {K : ℝ≥0} {fs : ℕ → E → ℝ} {f : E → ℝ} (hfs : ∀ j, LipschitzOnWith K (fs j) s) (hl : ∀ x ∈ s, Tendsto (fun j => fs j x) atTop (𝓝 (f x))) : TendstoUniformlyOn fs f atTop s := by have hf := lipschitzOn_limit hfs hl apply Metric.tendstoUniformlyOn_iff.mpr intro ε hε let δ := ε / (4 * ((K : ℝ)+1)) have hδ : 0 < δ := by dsimp [δ]; positivity have hδeq : 4 * ((K : ℝ)+1) * δ = ε := by dsimp [δ]; field_simp obtain ⟨t, hts, ht, hcov⟩ := finite_approx_of_totallyBounded hs δ hδ have hpt : ∀ᶠ j in atTop, ∀ y ∈ t, dist (f y) (fs j y) < ε / 2 := by apply (ht.eventually_all.mpr) intro y hy have hh := (Metric.tendsto_atTop.mp (hl y (hts hy))) (ε/2) (half_pos hε) exact (eventually_atTop.mpr hh).mono fun j hj => by simpa only [dist_comm] using hj filter_upwards [hpt] with j hj x hx obtain ⟨y, hyt, hxy⟩ := mem_iUnion₂.mp (hcov hx) have hd : dist x y < δ := hxy have H := dist_triangle4 (f x) (f y) (fs j y) (fs j x) have H₁ := hf.dist_le_mul x hx y (hts hyt) have H₂ := (hfs j).dist_le_mul y (hts hyt) x hx rw [dist_comm y x] at H₂ have H₃ := hj y hyt have H₄ : (K : ℝ) * dist x y ≤ (K : ℝ) * δ := mul_le_mul_of_nonneg_left hd.le K.coe_nonneg nlinarith [K.coe_nonneg] noncomputable def mcShane (s : Set E) (K : ℝ≥0) (f : E → ℝ) (x : E) : ℝ := ⨅ z : s, f z + K * dist x z lemma mcShane_bddBelow {s : Set E} (hs : s.Nonempty) {K : ℝ≥0} {f : E → ℝ} (hf : LipschitzOnWith K f s) (x : E) : BddBelow (range fun z : s => f z + K * dist x z) := by obtain ⟨z,hz⟩ := hs refine ⟨f z - K * dist x z, ?_⟩ rintro w ⟨t,rfl⟩ dsimp rw [_root_.sub_le_iff_le_add, add_assoc, ← mul_add, add_comm (dist x t)] calc f z ≤ f t + K * dist z t := hf.le_add_mul hz t.2 _ ≤ f t + K * (dist x z + dist x t) := by gcongr; apply dist_triangle_left lemma mcShane_eqOn {s : Set E} (hs : s.Nonempty) {K : ℝ≥0} {f : E → ℝ} (hf : LipschitzOnWith K f s) : EqOn f (mcShane s K f) s := by let : Nonempty s := hs.to_subtype intro x hx refine le_antisymm (le_ciInf fun y => hf.le_add_mul hx y.2) ?_ simpa only [mcShane, add_zero, Subtype.coe_mk, mul_zero, dist_self] using ciInf_le (mcShane_bddBelow hs hf x) ⟨x,hx⟩ lemma mcShane_lipschitz {s : Set E} (hs : s.Nonempty) {K : ℝ≥0} {f : E → ℝ} (hf : LipschitzOnWith K f s) : LipschitzWith K (mcShane s K f) := by let : Nonempty s := hs.to_subtype apply LipschitzWith.of_le_add_mul intro x y rw [← _root_.sub_le_iff_le_add] refine le_ciInf fun z => ?_ rw [_root_.sub_le_iff_le_add] calc mcShane s K f x ≤ f z + K * dist x z := ciInf_le (mcShane_bddBelow hs hf x) _ _ ≤ f z + K * dist y z + K * dist x y := by rw [add_assoc, ← mul_add, add_comm (dist y z)] gcongr apply dist_triangle lemma mcShane_dist_le {s : Set E} (hs : s.Nonempty) {K : ℝ≥0} {f g : E → ℝ} (hf : LipschitzOnWith K f s) (hg : LipschitzOnWith K g s) {ε : ℝ} (hε : ∀ x ∈ s, dist (f x) (g x) ≤ ε) (x : E) : dist (mcShane s K f x) (mcShane s K g x) ≤ ε := by let : Nonempty s := hs.to_subtype have aux {f g : E → ℝ} (hf : LipschitzOnWith K f s) (h : ∀ z ∈ s, f z ≤ g z + ε) : mcShane s K f x - ε ≤ mcShane s K g x := by apply le_ciInf intro z have H := ciInf_le (mcShane_bddBelow hs hf x) z change mcShane s K f x ≤ f z + K * dist x z at H linarith [h z z.2] rw [Real.dist_eq, abs_le] have H₁ := aux (g := g) hf (fun z hz => by have H := (abs_le.mp (hε z hz)).2; linarith) have H₂ := aux (g := f) hg (fun z hz => by have H := (abs_le.mp (hε z hz)).1; linarith) constructor <;> linarith lemma exists_convergent_lipschitz_extensions {s : Set E} (hs : TotallyBounded s) {K : ℝ≥0} {fs : ℕ → E → ℝ} {f : E → ℝ} (hfs : ∀ j, LipschitzOnWith K (fs j) s) (hl : ∀ x ∈ s, Tendsto (fun j => fs j x) atTop (𝓝 (f x))) : ∃ (Fs : ℕ → E → ℝ) (F : E → ℝ), (∀ j, LipschitzWith K (Fs j)) ∧ LipschitzWith K F ∧ (∀ j, EqOn (fs j) (Fs j) s) ∧ EqOn f F s ∧ ∀ x, Tendsto (fun j => Fs j x) atTop (𝓝 (F x)) := by rcases s.eq_empty_or_nonempty with rfl | hsne · exact ⟨fun _ _ => 0,fun _ => 0,fun _ => (LipschitzWith.const _).weaken (by positivity), (LipschitzWith.const _).weaken (by positivity),fun _ => eqOn_empty _ _, eqOn_empty _ _,fun _ => tendsto_const_nhds⟩ have hf := lipschitzOn_limit hfs hl refine ⟨fun j => mcShane s K (fs j),mcShane s K f, fun j => mcShane_lipschitz hsne (hfs j),mcShane_lipschitz hsne hf, fun j => mcShane_eqOn hsne (hfs j),mcShane_eqOn hsne hf,?_⟩ intro x apply Metric.tendsto_atTop.mpr intro ε hε have HU := Metric.tendstoUniformlyOn_iff.mp (uniform_limit_on_totallyBounded hs hfs hl) (ε/2) (half_pos hε) obtain ⟨N,hN⟩ := eventually_atTop.mp HU refine ⟨N,fun j hj => ?_⟩ have HH := mcShane_dist_le hsne hf (hfs j) (fun z hz => (hN j hj z hz).le) x rw [dist_comm] at HH exact HH.trans_lt (half_lt_self hε) end SharpIntegralFillings end end OAI