openAI-math-dataset / lean /OAI /Geometry /NodalSets /Spectral /NormalOrthonormalChart.lean
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Add lean source and binary files (part 70)
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import OAI.Geometry.NodalSets.Charts.MetricConnectionFamilyLemmas
import OAI.Geometry.NodalSets.Elliptic.TaylorPolynomial
import OAI.Geometry.NodalSets.Spectral.OrthonormalMetricFrame
namespace OAI
namespace Yau.Geometry
open scoped ContDiff
open Yau.Jets
noncomputable section
attribute [local instance] clmTopology clmAdd clmModule
def frameConnection (B : Coord →L[ℝ] Coord →L[ℝ] Coord) (e : Coord ≃L[ℝ] Coord) :
Coord →L[ℝ] Coord →L[ℝ] Coord :=
(((ContinuousLinearMap.compL ℝ Coord Coord Coord).flip e.toContinuousLinearMap).comp B).comp
e.toContinuousLinearMap
lemma frameConnection_apply (B : Coord →L[ℝ] Coord →L[ℝ] Coord)
(e : Coord ≃L[ℝ] Coord) (u v : Coord) : frameConnection B e u v = B (e u) (e v) := rfl
theorem positive_coordinate_frame (g : Coord →L[ℝ] Coord →L[ℝ] ℝ)
(hp : ∀ v : Coord, v ≠ 0 → 0 < g v v) (hs : ∀ u v, g u v = g v u) :
∃ e : Coord ≃L[ℝ] Coord, ∀ i j : Fin 4,
g (e (Pi.single i 1)) (e (Pi.single j 1)) = if i = j then 1 else 0 := by
obtain ⟨b, hb⟩ : ∃ b : Module.Basis (Fin 4) ℝ Coord,
∀ i j, g (b i) (b j) = if i = j then 1 else 0 := by
have hdim : Module.finrank ℝ Coord = 4 := Module.finrank_fin_fun (R := ℝ)
have h := positive_metric_orthonormal_basis g hp hs
rw [hdim] at h
exact h
refine ⟨b.equivFunL.symm, ?_⟩
intro i j
have hei (i : Fin 4) : b.equivFunL.symm (Pi.single i 1) = b i := by
apply b.equivFunL.injective
rw [b.equivFunL.apply_symm_apply]
ext k
simp [Module.Basis.equivFunL, Module.Basis.equivFun, Pi.single_apply, Finsupp.single_apply, eq_comm]
rw [hei, hei]
exact hb i j
theorem exists_orthonormal_normal_chart
(g : Coord → Coord →L[ℝ] Coord →L[ℝ] ℝ)
(hg : ContDiff ℝ ∞ g) (hs : ∀ x u v, g x u v = g x v u)
(y : Coord) (hp : ∀ v : Coord, v ≠ 0 → 0 < g y v v) :
∃ F : OpenPartialHomeomorph Coord Coord,
0 ∈ F.source ∧ F 0 = y ∧ ContDiff ℝ ∞ (F : Coord → Coord) ∧
ContDiffAt ℝ ∞ F.symm y ∧
(∀ i j : Fin 4, pullbackMetric g F 0 (Pi.single i 1) (Pi.single j 1) =
if i = j then 1 else 0) ∧
∀ u v, fderiv ℝ (fun x ↦ pullbackMetric g F x u v) 0 = 0 := by
have hd := (hg.differentiable (by simp)).differentiableAt.hasFDerivAt (x := y)
obtain ⟨B, hB, hc⟩ := positive_metric_connection (g y) hp (hs y) (fderiv ℝ g y)
(metric_derivative_symmetric g (fderiv ℝ g y) y hd hs)
obtain ⟨e, he⟩ := positive_coordinate_frame (g y) hp (hs y)
let C := frameConnection B e
have hC : ∀ u v, C u v = C v u := fun u v ↦ hB (e u) (e v)
refine ⟨quadraticChart y e C, quadraticChart_source y e C,
quadraticChartMap_zero y e C, quadraticChartMap_smooth y e C,
quadraticChart_inverse_smooth y e C, ?_, ?_⟩
· intro i j
rw [quadraticChart_coe, pullbackMetric_quadratic_zero]
exact he i j
· intro u v
exact quadratic_chart_metric_first_zero g (fderiv ℝ g y) y hd e C hC
(fun w u v ↦ hc (e w) (e u) (e v)) u v
end
end Yau.Geometry
end OAI