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Add lean source and binary files (part 91)
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import Mathlib
import OAI.MathematicalPhysics.SheetFlows.Model
namespace OAI
/-! SheetFlows rectangle geometry. -/
noncomputable section
open Set MeasureTheory
open scoped BigOperators
namespace Solenoidal
namespace Rectangle
theorem halfWidth_pos (R : Rectangle) (j : Fin 2) : 0 < R.halfWidth j := by
have h : (R.lower j : ℝ) < (R.upper j : ℝ) := by exact_mod_cast R.positive j
dsimp [halfWidth]
linarith
theorem center_sub_halfWidth (R : Rectangle) (j : Fin 2) :
R.center j - R.halfWidth j = (R.lower j : ℝ) := by
dsimp [center, halfWidth]
ring
theorem center_add_halfWidth (R : Rectangle) (j : Fin 2) :
R.center j + R.halfWidth j = (R.upper j : ℝ) := by
dsimp [center, halfWidth]
ring
theorem mem_iff_abs (R : Rectangle) (y : Plane) :
y ∈ R.carrier ↔ ∀ j, |y j - R.center j| ≤ R.halfWidth j := by
simp only [carrier, Set.mem_ofPred_eq, abs_le]
constructor
· intro h j
have hl := (h j).1
have hu := (h j).2
dsimp [center, halfWidth]
constructor <;> linarith
· intro h j
have hl := (h j).1
have hu := (h j).2
dsimp [center, halfWidth] at hl hu
constructor <;> linarith
theorem center_mem (R : Rectangle) : R.center ∈ R.carrier := by
rw [mem_iff_abs]
intro j
simpa using le_of_lt (halfWidth_pos R j)
theorem upper_mem (R : Rectangle) : (fun j => (R.upper j : ℝ)) ∈ R.carrier := by
intro j
have h : (R.lower j : ℝ) < (R.upper j : ℝ) := by exact_mod_cast R.positive j
exact ⟨h.le, le_rfl⟩
theorem halfWidth_le_half (R : Rectangle) (h : R.inCodingSquare) (j : Fin 2) :
R.halfWidth j ≤ 1 / 2 := by
have hl : (2 : ℝ) ≤ R.lower j := by exact_mod_cast (h j).1
have hu : (R.upper j : ℝ) ≤ 3 := by exact_mod_cast (h j).2
dsimp [halfWidth]
linarith
theorem offset_bound (R : Rectangle) (hR : R.inCodingSquare)
{y : Plane} (hy : y ∈ R.carrier) (j : Fin 2) :
|y j - R.center j| ≤ 1 / 2 :=
((R.mem_iff_abs y).mp hy j).trans (R.halfWidth_le_half hR j)
end Rectangle
theorem diagonalMap_upper (P Q : Rectangle) (r : Fin 2 → ℚ)
(hr : ∀ j, 0 < r j)
(himage : diagonalMap P Q r '' P.carrier = Q.carrier) :
diagonalMap P Q r (fun j => (P.upper j : ℝ)) = fun j => (Q.upper j : ℝ) := by
have hmax : ∀ y ∈ P.carrier, ∀ j,
diagonalMap P Q r y j ≤ diagonalMap P Q r (fun k => (P.upper k : ℝ)) j := by
intro y hy j
have hj : (0 : ℝ) ≤ (r j : ℝ) := by exact_mod_cast (hr j).le
dsimp [diagonalMap]
exact add_le_add le_rfl
(mul_le_mul_of_nonneg_left (sub_le_sub_right (hy j).2 _) hj)
have hup : diagonalMap P Q r (fun j => (P.upper j : ℝ)) ∈ Q.carrier := by
rw [← himage]
exact ⟨_, P.upper_mem, rfl⟩
obtain ⟨y, hy, he⟩ : ∃ y ∈ P.carrier,
diagonalMap P Q r y = (fun j => (Q.upper j : ℝ)) := by
have h := Q.upper_mem
rw [← himage] at h
exact h
funext j
apply le_antisymm (hup j).2
simpa only [he] using hmax y hy j
theorem SheetData.ratio_mul_halfWidth {N : ℕ} (D : SheetData N)
(i : Fin N) (j : Fin 2) :
(D.ratio i j : ℝ) * (D.source i).halfWidth j = (D.target i).halfWidth j := by
have h := congrFun (diagonalMap_upper (D.source i) (D.target i) (D.ratio i)
(D.ratio_positive i) (D.image_eq i)) j
dsimp [diagonalMap, Rectangle.center] at h
dsimp [Rectangle.halfWidth]
linarith
theorem SheetData.ratio_eq_halfWidth_ratio {N : ℕ} (D : SheetData N)
(i : Fin N) (j : Fin 2) :
(D.ratio i j : ℝ) = (D.target i).halfWidth j / (D.source i).halfWidth j := by
apply (eq_div_iff (ne_of_gt ((D.source i).halfWidth_pos j))).mpr
exact D.ratio_mul_halfWidth i j
theorem SheetData.scaled_offset_bound {N : ℕ} (D : SheetData N)
(i : Fin N) {y : Plane} (hy : y ∈ (D.source i).carrier) (j : Fin 2) :
|(D.ratio i j : ℝ) * (y j - (D.source i).center j)| ≤ 1 / 2 := by
have hr : (0 : ℝ) < (D.ratio i j : ℝ) := by exact_mod_cast D.ratio_positive i j
rw [abs_mul, abs_of_pos hr]
calc
(D.ratio i j : ℝ) * |y j - (D.source i).center j| ≤
(D.ratio i j : ℝ) * (D.source i).halfWidth j :=
mul_le_mul_of_nonneg_left (((D.source i).mem_iff_abs y).mp hy j) hr.le
_ = (D.target i).halfWidth j := D.ratio_mul_halfWidth i j
_ ≤ 1 / 2 := (D.target i).halfWidth_le_half (D.target_inside i) j
abbrev OffsetHeight := ℝ × ℝ
def verticalShear (a : ℝ) (p : OffsetHeight) : OffsetHeight :=
(p.1, p.2 + a * p.1)
def horizontalShear (b : ℝ) (p : OffsetHeight) : OffsetHeight :=
(p.1 + b * p.2, p.2)
def threeShears (κ μ : ℝ) (p : OffsetHeight) : OffsetHeight :=
verticalShear (-κ / μ)
(horizontalShear ((μ - 1) / κ) (verticalShear κ p))
theorem threeShears_action {κ μ : ℝ} (hκ : κ ≠ 0) (hμ : μ ≠ 0)
(ξ ζ : ℝ) :
threeShears κ μ (ξ, ζ) = (μ * ξ + (μ - 1) / κ * ζ, ζ / μ) := by
ext <;> dsimp [threeShears, verticalShear, horizontalShear]
· field_simp
ring
· field_simp
ring
theorem threeShears_on_sheet {κ μ : ℝ} (hκ : κ ≠ 0) (hμ : μ ≠ 0) (ξ : ℝ) :
threeShears κ μ (ξ, 0) = (μ * ξ, 0) := by
simp [threeShears_action hκ hμ]
def coreMatrix₂ (κ μ : ℝ) : Matrix (Fin 2) (Fin 2) ℝ :=
!![μ, (μ - 1) / κ; 0, 1 / μ]
theorem coreMatrix₂_det (κ : ℝ) {μ : ℝ} (hμ : μ ≠ 0) :
(coreMatrix₂ κ μ).det = 1 := by
simp [coreMatrix₂, Matrix.det_fin_two, hμ]
def tripleX (κ μ : ℝ) (x : Space) : Space :=
![(threeShears κ μ (x 0, x 2)).1, x 1, (threeShears κ μ (x 0, x 2)).2]
def tripleY (κ μ : ℝ) (x : Space) : Space :=
![x 0, (threeShears κ μ (x 1, x 2)).1, (threeShears κ μ (x 1, x 2)).2]
def sixShears (κ μ₁ μ₂ : ℝ) (x : Space) : Space :=
tripleY κ μ₂ (tripleX κ μ₁ x)
theorem sixShears_action {κ μ₁ μ₂ : ℝ}
(hκ : κ ≠ 0) (h₁ : μ₁ ≠ 0) (h₂ : μ₂ ≠ 0) (x : Space) :
sixShears κ μ₁ μ₂ x =
![μ₁ * x 0 + (μ₁ - 1) / κ * x 2,
μ₂ * x 1 + (μ₂ - 1) / κ * (x 2 / μ₁),
x 2 / (μ₁ * μ₂)] := by
simp [sixShears, tripleX, tripleY, threeShears_action hκ h₁,
threeShears_action hκ h₂, div_div]
theorem sixShears_on_sheet {κ μ₁ μ₂ : ℝ}
(hκ : κ ≠ 0) (h₁ : μ₁ ≠ 0) (h₂ : μ₂ ≠ 0) (y : Plane) :
sixShears κ μ₁ μ₂ ![y 0, y 1, 0] = ![μ₁ * y 0, μ₂ * y 1, 0] := by
simp [sixShears_action hκ h₁ h₂]
def coreMatrix₃ (κ μ₁ μ₂ : ℝ) : Matrix (Fin 3) (Fin 3) ℝ :=
!![μ₁, 0, (μ₁ - 1) / κ;
0, μ₂, (μ₂ - 1) / (κ * μ₁);
0, 0, 1 / (μ₁ * μ₂)]
theorem coreMatrix₃_mulVec {κ μ₁ μ₂ : ℝ}
(hκ : κ ≠ 0) (h₁ : μ₁ ≠ 0) (h₂ : μ₂ ≠ 0) (x : Space) :
(coreMatrix₃ κ μ₁ μ₂).mulVec x = sixShears κ μ₁ μ₂ x := by
rw [sixShears_action hκ h₁ h₂]
ext j
fin_cases j <;> simp [coreMatrix₃, Matrix.mulVec, dotProduct, Fin.sum_univ_succ]
all_goals ring
theorem coreMatrix₃_det (κ : ℝ) {μ₁ μ₂ : ℝ}
(h₁ : μ₁ ≠ 0) (h₂ : μ₂ ≠ 0) :
(coreMatrix₃ κ μ₁ μ₂).det = 1 := by
simp [coreMatrix₃, Matrix.det_fin_three]
field_simp
def centeredCore (p q : Plane) (height κ μ₁ μ₂ : ℝ) (x : Space) : Space :=
![q 0, q 1, height] + sixShears κ μ₁ μ₂ (x - ![p 0, p 1, height])
theorem centeredCore_on_sheet (P Q : Rectangle) (r : Fin 2 → ℚ)
(hr : ∀ j, 0 < r j) (y : Plane) :
centeredCore P.center Q.center 2 1 (r 0 : ℝ) (r 1 : ℝ) (sheet y) =
sheet (diagonalMap P Q r y) := by
have h₀ : (r 0 : ℝ) ≠ 0 := by exact_mod_cast ne_of_gt (hr 0)
have h₁ : (r 1 : ℝ) ≠ 0 := by exact_mod_cast ne_of_gt (hr 1)
rw [centeredCore, sixShears_action one_ne_zero h₀ h₁]
ext j
fin_cases j <;> simp [sheet, diagonalMap]
theorem abs_convex_combination_le {a b B θ : ℝ}
(ha : |a| ≤ B) (hb : |b| ≤ B) (hθ₀ : 0 ≤ θ) (hθ₁ : θ ≤ 1) :
|(1 - θ) * a + θ * b| ≤ B := by
rcases abs_le.mp ha with ⟨ha₀, ha₁⟩
rcases abs_le.mp hb with ⟨hb₀, hb₁⟩
have hθ : 0 ≤ 1 - θ := sub_nonneg.mpr hθ₁
apply abs_le.mpr
constructor
· have ea := mul_le_mul_of_nonneg_left ha₀ hθ
have eb := mul_le_mul_of_nonneg_left hb₀ hθ₀
nlinarith
· have ea := mul_le_mul_of_nonneg_left ha₁ hθ
have eb := mul_le_mul_of_nonneg_left hb₁ hθ₀
nlinarith
theorem first_phase (ξ θ : ℝ) : verticalShear θ (ξ, 0) = (ξ, θ * ξ) := by
simp [verticalShear]
theorem middle_phase (μ ξ θ : ℝ) :
horizontalShear (θ * (μ - 1)) (verticalShear 1 (ξ, 0)) =
((1 - θ) * ξ + θ * (μ * ξ), ξ) := by
ext <;> dsimp [horizontalShear, verticalShear] <;> ring
theorem last_phase {μ : ℝ} (hμ : μ ≠ 0) (ξ θ : ℝ) :
verticalShear (-θ / μ)
(horizontalShear (μ - 1) (verticalShear 1 (ξ, 0))) =
(μ * ξ, (1 - θ) * ξ) := by
ext <;> dsimp [horizontalShear, verticalShear]
· ring
· field_simp
ring
theorem triple_path_bounds {μ ξ θ : ℝ} (hμ : μ ≠ 0)
(hξ : |ξ| ≤ 1 / 2) (hμξ : |μ * ξ| ≤ 1 / 2)
(hθ₀ : 0 ≤ θ) (hθ₁ : θ ≤ 1) :
(|((verticalShear θ (ξ, 0)).1)| ≤ 1 / 2 ∧
|((verticalShear θ (ξ, 0)).2)| ≤ 1 / 2) ∧
(|((horizontalShear (θ * (μ - 1)) (verticalShear 1 (ξ, 0))).1)| ≤ 1 / 2 ∧
|((horizontalShear (θ * (μ - 1)) (verticalShear 1 (ξ, 0))).2)| ≤ 1 / 2) ∧
(|((verticalShear (-θ / μ)
(horizontalShear (μ - 1) (verticalShear 1 (ξ, 0)))).1)| ≤ 1 / 2 ∧
|((verticalShear (-θ / μ)
(horizontalShear (μ - 1) (verticalShear 1 (ξ, 0)))).2)| ≤ 1 / 2) := by
rw [first_phase, middle_phase, last_phase hμ]
have hzero : |(0 : ℝ)| ≤ 1 / 2 := by norm_num
have hfirst := abs_convex_combination_le hzero hξ hθ₀ hθ₁
have hlast := abs_convex_combination_le hξ hzero hθ₀ hθ₁
simp only [mul_zero, zero_add, add_zero] at hfirst hlast
exact ⟨⟨hξ, hfirst⟩, ⟨abs_convex_combination_le hξ hμξ hθ₀ hθ₁, hξ⟩,
⟨hμξ, hlast⟩⟩
theorem processing_height_bound {ζ : ℝ} (hζ : |ζ| ≤ 1 / 2) :
(9 / 2 : ℝ) ≤ 5 + ζ ∧ 5 + ζ ≤ 11 / 2 := by
rcases abs_le.mp hζ with ⟨hl, hu⟩
constructor <;> linarith
end Solenoidal
end
end OAI