import OAI.Geometry.IsometricImmersion.Comparison.ClosureMetricApproximation import OAI.Geometry.IsometricImmersion.Pulses.PulseNeighborhoodAdapters namespace OAI noncomputable section open Set Filter open scoped ContDiff Topology Matrix Matrix.Norms.Elementwise Distributions namespace SmoothLocal.Pulse open SmoothLocal.Geometry SmoothLocal.Perturbation def metricApproximationAccuracy (tau : ℕ) : ℝ := 1 / ((tau : ℝ)^tau) theorem metricApproximationAccuracy_pos {tau : ℕ} (htau : 0 < tau) : 0 < metricApproximationAccuracy tau := one_div_pos.mpr (pow_pos (Nat.cast_pos.mpr htau) tau) theorem relative_closure_exists_metric_approximation {g0 : MetricField} {U : Set Coord} {kappa : ℝ} (hg0 : SmoothPositiveOn g0 U) {A : Set (metricPatchSet g0 kappa)} {theta : metricPatchSet g0 kappa} (hclosure : theta ∈ closure A) (n : ℕ) {epsilon : ℝ} (hepsilon : 0 < epsilon) : ∃ eta : metricPatchSet g0 kappa, eta ∈ A ∧ SmoothPositiveOn (perturbedMetric g0 eta.val) U ∧ (∀ p ∈ centralBox, gaussianCurvature (perturbedMetric g0 eta.val) p < -kappa / 2) ∧ (∀ k ≤ n, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x - perturbedMetric g0 theta.val x) p‖ ≤ epsilon) ∧ (∀ i j : Fin 2, ∀ k ≤ n, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x i j - perturbedMetric g0 theta.val x i j) p‖ ≤ epsilon) := by obtain ⟨eta, heta, hT, hC⟩ := closure_exists_metric_jet_approximation (Subtype.val : metricPatchSet g0 kappa → SymmetricPerturbation) continuous_subtype_val g0 hclosure n hepsilon exact ⟨eta, heta, perturbedMetric_smoothPositiveOn hg0 eta.val eta.property.1, eta.property.2, hT, hC⟩ theorem exists_N_before_delta_eventually_class_approximation {g0 : MetricField} {U : Set Coord} {kappa : ℝ} (hg0 : SmoothPositiveOn g0 U) (hU : IsOpen U) (hSU : modelSquare ⊆ U) {A O : Set (metricPatchSet g0 kappa)} (hO : IsOpen O) {etaStar : metricPatchSet g0 kappa} (hStar : etaStar ∈ O) (hOclosure : O ⊆ closure A) (q0 a : ℝ) (ha : 0 < a) (hax : a ≤ 1 / 10) (hq : |q0| * a < 1 / 10) : ∃ N : ℕ, 10 < N ∧ ∀ delta : ℝ, 0 < delta → ∀ᶠ tau : ℕ in atTop, 0 < tau ∧ ∃ eta : metricPatchSet g0 kappa, eta ∈ A ∧ SmoothPositiveOn (perturbedMetric g0 eta.val) U ∧ (∀ p ∈ centralBox, gaussianCurvature (perturbedMetric g0 eta.val) p < -kappa / 2) ∧ (∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x) p‖ ≤ metricApproximationAccuracy tau) ∧ (∀ i j : Fin 2, ∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x i j - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x i j) p‖ ≤ metricApproximationAccuracy tau) := by obtain ⟨N, hN, hpulse⟩ := exists_N_before_delta_eventually_relative_metric_neighborhood hg0 hU hSU hO hStar q0 a ha hax hq refine ⟨N, hN, ?_⟩ intro delta hdelta filter_upwards [hpulse delta hdelta] with tau htau have hpositive : 0 < tau := by have hh : (0 : ℝ) < (tau : ℝ) := zero_lt_one.trans_le htau.1 exact_mod_cast hh obtain ⟨theta, hthetaO, hthetaEq, hthetaPositive, hthetaCentral⟩ := htau.2 obtain ⟨eta, heta, hmetric, hcentral, hT, hC⟩ := relative_closure_exists_metric_approximation hg0 (hOclosure hthetaO) tau (metricApproximationAccuracy_pos hpositive) refine ⟨hpositive, eta, heta, hmetric, hcentral, ?_, ?_⟩ · simpa only [hthetaEq] using hT · simpa only [hthetaEq] using hC theorem exists_N_before_delta_class_metric_family {g0 : MetricField} {U : Set Coord} {kappa : ℝ} (hg0 : SmoothPositiveOn g0 U) (hU : IsOpen U) (hSU : modelSquare ⊆ U) {A O : Set (metricPatchSet g0 kappa)} (hO : IsOpen O) {etaStar : metricPatchSet g0 kappa} (hStar : etaStar ∈ O) (hOclosure : O ⊆ closure A) (q0 a : ℝ) (ha : 0 < a) (hax : a ≤ 1 / 10) (hq : |q0| * a < 1 / 10) : ∃ N : ℕ, 10 < N ∧ ∀ delta : ℝ, 0 < delta → ∃ tau0 : ℕ, 1 ≤ tau0 ∧ ∃ eta : ℕ → metricPatchSet g0 kappa, ∀ tau : ℕ, tau0 ≤ tau → eta tau ∈ A ∧ SmoothPositiveOn (perturbedMetric g0 (eta tau).val) U ∧ (∀ p ∈ centralBox, gaussianCurvature (perturbedMetric g0 (eta tau).val) p < -kappa / 2) ∧ (∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 (eta tau).val x - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x) p‖ ≤ metricApproximationAccuracy tau) ∧ (∀ i j : Fin 2, ∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 (eta tau).val x i j - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x i j) p‖ ≤ metricApproximationAccuracy tau) := by classical obtain ⟨N, hN, happrox⟩ := exists_N_before_delta_eventually_class_approximation hg0 hU hSU hO hStar hOclosure q0 a ha hax hq refine ⟨N, hN, ?_⟩ intro delta hdelta obtain ⟨tauBase, hbase⟩ := eventually_atTop.mp (happrox delta hdelta) let tau0 := max 1 tauBase have hchoose : ∀ tau : ℕ, ∃ eta : metricPatchSet g0 kappa, tau0 ≤ tau → eta ∈ A ∧ SmoothPositiveOn (perturbedMetric g0 eta.val) U ∧ (∀ p ∈ centralBox, gaussianCurvature (perturbedMetric g0 eta.val) p < -kappa / 2) ∧ (∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x) p‖ ≤ metricApproximationAccuracy tau) ∧ (∀ i j : Fin 2, ∀ k ≤ tau, ∀ p : Coord, ‖iteratedFDeriv ℝ k (fun x => perturbedMetric g0 eta.val x i j - testMetric (perturbedMetric g0 etaStar.val) q0 a N delta (tau : ℝ) x i j) p‖ ≤ metricApproximationAccuracy tau) := by intro tau by_cases htau : tau0 ≤ tau · obtain ⟨eta, heta⟩ := (hbase tau ((le_max_right 1 tauBase).trans htau)).2 exact ⟨eta, fun _ => heta⟩ · exact ⟨etaStar, fun h => False.elim (htau h)⟩ choose eta heta using hchoose exact ⟨tau0, le_max_left _ _, eta, heta⟩ end SmoothLocal.Pulse end end OAI