openAI-math-dataset / lean /OAI /Analysis /Conductivity /Geometry /LocalSplitSubpatchRetained.lean
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Add lean source and binary files (part 15)
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import Mathlib
import OAI.Analysis.Conductivity.Variational.PairedPotential
import OAI.Analysis.Conductivity.Sobolev.LocalPullbackTsupportInside
namespace OAI
noncomputable section
open MeasureTheory
open scoped ENNReal
open Matrix Filter Topology
open Set MeasureTheory Filter Topology
open scoped BigOperators
open Set MeasureTheory Filter Topology
open scoped Manifold
open Set Filter
open scoped Topology
open Set Filter MeasureTheory
open scoped Topology Manifold ENNReal
open Set
namespace ScalarConductivity
open Matrix Set MeasureTheory Filter Topology
open scoped ENNReal Matrix.Norms.Elementwise
theorem exists_local_split_on_subpatch_retained
(μ : Measure Coord3) [μ.IsAddHaarMeasure]
(u : Coord3 → Fin 2 → ℝ) (hu : ContDiff ℝ (↑(⊤ : ℕ∞)) u)
(A : Coord3 → Symmetric3) {p : Coord3} (hA : ContinuousAt A p)
(hD : Function.Surjective (fderiv ℝ u p))
(d : Coord3) (L : Coord3 →L[ℝ] ℝ) (hLd : L d = 1)
(B : Mat3) (hB : B.IsSymm) (hBn : ∀ v, L (B *ᵥ v) = 0)
{θ c m : ℝ} (hθ : 0 < θ) (hθ1 : θ < 1)
(hm : 0 < m) (hpath : ∀ z ∈ Icc (-θ) (1-θ), m ≤ 1 + c * z)
(C : ℝ → Symmetric3) (hC : ∀ z ∈ Icc (-θ) (1-θ), ContinuousAt C z)
(hdet : ∀ z ∈ Icc (-θ) (1-θ), 0 < (splitJacobian d L c z).det)
(hconstit : ∀ z ∈ Icc (-θ) (1-θ),
(C z).val = (splitJacobian d L c z).det⁻¹ •
(splitJacobian d L c z * ((A p).val + z • B) * (splitJacobian d L c z)ᵀ))
{G : Set (ℝ × Symmetric3)} (hG : IsOpen G)
(hCG : ∀ z ∈ Icc (-θ) (1-θ), (z, C z) ∈ G)
{U : Set Coord3} (hU : IsOpen U) (hpU : p ∈ U) :
∃ (X : OpenPartialHomeomorph Coord3 Coord3) (W : Set Coord3),
IsOpen W ∧ p ∈ W ∧ closure W ⊆ U ∧ IsCompact (closure W) ∧ W ⊆ X.source ∧
ContDiff ℝ (↑(⊤ : ℕ∞)) X ∧
ContDiffOn ℝ (↑(⊤ : ℕ∞)) X.symm X.target ∧
∀ O : Set Coord3, IsOpen O → O ⊆ W →
∀ ε : ℝ, 0 < ε →
∃ (χ : SmoothScalar Coord3) (H : SmoothScalar ℝ) (F : ℝ → Fin 2 → Coord3 → Coord3),
HasCompactSupport χ.val ∧ tsupport χ.val ⊆ X '' O ∧
(∀ x, 0 ≤ χ.val x ∧ χ.val x ≤ 1) ∧
(∀ t, -θ ≤ (smoothDirection 1 H).val t ∧ (smoothDirection 1 H).val t ≤ 1-θ) ∧
(∀ k j, ContDiff ℝ (↑(⊤ : ℕ∞)) (F k j)) ∧
(∀ k j, HasCompactSupport (F k j) ∧ tsupport (F k j) ⊆ O ∧ tsupport (F k j) ⊆ X.symm '' tsupport χ.val) ∧
(∀ k j (ψ : Coord3 → ℝ), ContDiff ℝ (↑(⊤ : ℕ∞)) ψ →
(∫ y, fderiv ℝ ψ y (F k j y) ∂μ) = 0) ∧
∀ᶠ n : ℕ in atTop, ∃ Y : Coord3 ≃ Coord3,
ContDiff ℝ (↑(⊤ : ℕ∞)) Y ∧ ContDiff ℝ (↑(⊤ : ℕ∞)) Y.symm ∧
(∀ x ∉ O, Y x = x) ∧ Y '' O = O ∧
(∀ x, Y x = x + (c * (n+1 : ℝ)⁻¹ * localPullback X χ.val x *
H.val ((n+1 : ℝ) * L (X x))) • d) ∧
μ {x | x ∈ O ∧
localPullback X χ.val (Y.symm x) *
(smoothDirection 1 H).val ((n+1 : ℝ) * L (X (Y.symm x))) ≠ -θ ∧
localPullback X χ.val (Y.symm x) *
(smoothDirection 1 H).val ((n+1 : ℝ) * L (X (Y.symm x))) ≠ 1-θ} ≤
ENNReal.ofReal ε ∧
∀ x ∈ O,
let z := localPullback X χ.val x * (smoothDirection 1 H).val ((n+1 : ℝ) * L (X x))
let E := gradientColumns (fderiv ℝ u x)
let Ft := (A x).val * E + Matrix.of (fun i j => F (n+1 : ℝ) j x i)
let J := operatorMatrix (fderiv ℝ Y x)
let At := repairPushed (C z) J E Ft
0 < J.det ∧ LinearIndependent ℝ E.col ∧ (z, At) ∈ G ∧
At.val * gradientColumns (fderiv ℝ (u ∘ Y.symm) (Y x)) = pushFlux J Ft := by
have hb : 0 ≤ 1-θ := by linarith
have hb1 : 1-θ ≤ 1 := by linarith
obtain ⟨X, V, hV, hpV, hVU, hVX, hX, hXi, M, hM, hop⟩ :=
exists_local_two_field_split μ u hu A hA hD d L hLd B hB hBn
hθ.le hb hθ1.le hb1 hm hpath C hC hdet hconstit hG hCG hU hpU
obtain ⟨W, hW, hpW, hWV, hWc, hXW, D, hDpos, hDb⟩ :=
exists_bounded_chart_neighborhood X hX.continuous hXi hV hVX hpV
have hWV' : W ⊆ V := subset_closure.trans hWV
have hWX : W ⊆ X.source := hWV'.trans hVX
have hL : L ≠ 0 := by intro hz; simp only [hz, _root_.zero_apply] at hLd; norm_num at hLd
refine ⟨X, W, hW, hpW, hWV.trans hVU, hWc, hWX, hX, hXi, ?_⟩
intro O hO hOW ε hε
have hOX : O ⊆ X.source := hOW.trans hWX
have hOV : O ⊆ V := hOW.trans hWV'
have hXO := hXW.subset (image_mono hOW)
obtain ⟨χ, H, hχc, hχW, hχb, hHp, hHm, hHb, hHr, hpure⟩ :=
exists_chart_pure_profile μ X hO hOX (hXi.differentiableOn (by simp))
hXO hXO.measure_lt_top.ne hDpos (fun x hx => hDb x (image_mono hOW hx)) L hL hθ hθ1 (div_pos hε hM)
obtain ⟨F, hF, hFs, hdiv, hlim⟩ := hop H hHp hHm hHb hHr χ hχc
(hχW.trans (image_mono hOV)) hχb
have hχt : tsupport χ.val ⊆ X.target := hχW.trans (by
rintro y ⟨x, hx, rfl⟩; exact X.map_source (hOX hx))
have hχp : tsupport (localPullback X χ.val) ⊆ O :=
localPullback_tsupport_inside X χ.val hχc hOX hχW
refine ⟨χ, H, F, hχc, hχW, hχb, hHr, hF, ?_, hdiv, ?_⟩
· intro k j
refine ⟨(hFs k j).1, ?_, (hFs k j).2.2⟩
intro x hx
obtain ⟨y, hy, rfl⟩ := (hFs k j).2.2 hx
obtain ⟨z, hz, rfl⟩ := hχW hy
simpa only [X.left_inv (hOX hz)] using hz
have hnat : Tendsto (fun n : ℕ => (n+1 : ℝ)) atTop atTop :=
Filter.tendsto_atTop_add_const_right _ 1 tendsto_natCast_atTop_atTop
filter_upwards [hnat.eventually hlim, hpure] with n hn hnp
obtain ⟨Y, hY, hYi, _, _, hform, hYM, hstate⟩ := hn
have hoff : ∀ x ∉ O, Y x = x := by
intro x hx
have hz := image_eq_zero_of_notMem_tsupport (fun h => hx (hχp h))
rw [hform x, hz, mul_zero, zero_mul, zero_smul, add_zero]
have himage := equiv_image_set_of_eq_off Y O hoff
refine ⟨Y, hY, hYi, hoff, himage, hform, ?_, fun x hx => hstate x (hOV hx)⟩
let z : Coord3 → ℝ := fun x => localPullback X χ.val x *
(smoothDirection 1 H).val ((n+1 : ℝ) * L (X x))
have hz : Continuous z :=
(localPullback_contDiff X hX.contDiffOn χ.val (smoothScalar_contDiff χ) hχc hχt).continuous.mul
((smoothScalar_contDiff (smoothDirection 1 H)).continuous.comp
(continuous_const.mul (L.continuous.comp hX.continuous)))
have he := pushed_exception_measure_le μ Y (hY.differentiable (by simp))
hO.measurableSet himage z hz (-θ) (1-θ) hYM
calc
_ ≤ ENNReal.ofReal M * μ {x | x ∈ O ∧ z x ≠ -θ ∧ z x ≠ 1-θ} := he
_ ≤ ENNReal.ofReal M * ENNReal.ofReal (ε/M) := mul_le_mul_right hnp _
_ = ENNReal.ofReal ε := by
rw [← ENNReal.ofReal_mul hM.le, mul_div_cancel₀ ε hM.ne']
end ScalarConductivity
end
end OAI