openAI-math-dataset / lean /OAI /Geometry /NodalSets /Persistence /SphereSimpleUniformPersistence.lean
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Add lean source and binary files (part 70)
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import Mathlib.Analysis.SpecificLimits.Basic
import OAI.Geometry.NodalSets.Charts.SphereFiniteNormIntrinsicCompactness
import OAI.Geometry.NodalSets.Charts.SphereNormalizedSimpleUniqueness
namespace OAI
namespace Yau.Target
open Manifold MeasureTheory Filter Metric Yau.Geometry
open scoped ContDiff Topology
noncomputable section
theorem sphere_finite_norm_simple_uniform_persistence (d : SphereEnergyData)
(hd : ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ d.density) (N : ℕ)
(u : Base → ℝ) (hun : sphereWeightedPairing d.density u u=1)
(hsimple : ∀ v : Base → ℝ, ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ v →
(∀ p y, -intrinsicWeightedChartOperator d.tensor d.density v p y =
sphereIndexedEigenvalue d N*v ((extChartAt (𝓡 4) p).symm y)) → ∃ c : ℝ, v=c • u) :
∃ P : Finset Base,
(∀ x : Base, ∃ p ∈ P, ∃ y ∈ ball (0 : Yau.Jets.Coord) (1/512), sphereChartCoordMap p y=x) ∧
∀ eps > 0, ∃ eta > 0, ∀ b : SphereEnergyData,
ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ b.density →
sphereCoefficientDistance P 8 d.tensor d.density b.tensor b.density < eta →
∀ v : Base → ℝ, ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ v →
sphereWeightedPairing b.density v v=1 →
(∀ p y, -intrinsicWeightedChartOperator b.tensor b.density v p y =
sphereIndexedEigenvalue b N*v ((extChartAt (𝓡 4) p).symm y)) →
(∀ x, |v x-u x| < eps) ∨ (∀ x, |v x+u x| < eps) := by
classical
obtain ⟨P,hP,eta₀,heta₀,H⟩ := sphere_finite_norm_indexed_intrinsic_compactness d hd N
refine ⟨P,hP,?_⟩
intro eps heps
let Good (v : Base → ℝ) : Prop := (∀ x, |v x-u x| < eps) ∨ (∀ x, |v x+u x| < eps)
change ∃ eta > 0, ∀ b : SphereEnergyData,
ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ b.density →
sphereCoefficientDistance P 8 d.tensor d.density b.tensor b.density < eta →
∀ v : Base → ℝ, ContMDiff (𝓡 4) 𝓘(ℝ,ℝ) ∞ v →
sphereWeightedPairing b.density v v=1 →
(∀ p y, -intrinsicWeightedChartOperator b.tensor b.density v p y =
sphereIndexedEigenvalue b N*v ((extChartAt (𝓡 4) p).symm y)) → Good v
by_contra hbad
push Not at hbad
choose b hb hdist v hv hn he hbad using
(fun j : ℕ ↦ hbad (min eta₀ (1/((j:ℝ)+1))) (lt_min heta₀ (by positivity)))
have hcoeff : Tendsto (fun j ↦ sphereCoefficientDistance P 8 d.tensor d.density
(b j).tensor (b j).density) atTop (𝓝 0) := by
apply squeeze_zero _ _ tendsto_one_div_add_atTop_nhds_zero_nat
· intro j
exact sphereCoefficientDistance_nonneg P 8 d.tensor (b j).tensor d.density (b j).density
(fun p _ ↦ intrinsic_coefficient_chart_smooth d.tensor d.smooth d.symm d.pos d.density hd p)
(fun p _ ↦ intrinsic_coefficient_chart_smooth (b j).tensor (b j).smooth (b j).symm (b j).pos
(b j).density (hb j) p)
· intro j
exact (hdist j).le.trans (min_le_right _ _)
obtain ⟨v₀,hv₀,hn₀,_,he₀,nu,hnu,ht,_⟩ := H b hb
(fun j ↦ (hdist j).trans_le (min_le_left _ _)) hcoeff v hv hn he
have hsigned := sphere_normalized_simple_eigenfunction_signed d u hun (sphereIndexedEigenvalue d N)
hsimple v₀ hv₀ hn₀ he₀
have hc := (Metric.tendstoUniformly_iff.mp ht) eps heps
obtain ⟨j,hj⟩ := hc.exists
apply hbad (nu j)
rcases hsigned with rfl | rfl
· left
intro x
simpa only [Real.dist_eq,abs_sub_comm] using hj x
· right
intro x
simpa only [Pi.neg_apply,Real.dist_eq,abs_sub_comm,sub_neg_eq_add] using hj x
end
end Yau.Target
end OAI