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Add lean source and binary files (part 125)
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import Mathlib
import OAI.Probability.LatticeSurface.Coercivity.GridTrace
namespace OAI
noncomputable section
open scoped BigOperators
namespace GridTrace
namespace NatGrid
end NatGrid
end GridTrace
namespace GridTrace.NatGrid
def lo (x : Vertex) (r : ℕ) : Vertex := (x.1-r,x.2-r)
def hi (N : ℕ) (x : Vertex) (r : ℕ) : Vertex := (min N (x.1+r),min N (x.2+r))
def box (N : ℕ) (x : Vertex) (r : ℕ) : Finset Vertex := rect (lo x r) (hi N x r)
def square (N : ℕ) : Finset Vertex := rect (0,0) (N,N)
abbrev Edge := Vertex ⊕ Vertex
def edges (l u : Vertex) : Finset Edge :=
((Finset.Ico l.1 u.1) ×ˢ (Finset.Icc l.2 u.2)).disjSum
((Finset.Icc l.1 u.1) ×ˢ (Finset.Ico l.2 u.2))
def edgeGrad (v : Vertex → ℝ) : Edge → ℝ
| .inl (i,j) => |v (i+1,j)-v (i,j)|
| .inr (i,j) => |v (i,j+1)-v (i,j)|
def anchor : Edge → Vertex
| .inl x => x
| .inr x => x
lemma square_mem {N : ℕ} {x : Vertex} : x ∈ square N ↔ x.1 ≤ N ∧ x.2 ≤ N := by
simp [square,rect]
lemma mem_box_iff {N r : ℕ} {x y : Vertex} :
y ∈ box N x r ↔ y.1 ≤ N ∧ y.2 ≤ N ∧
y.1 ≤ x.1+r ∧ x.1 ≤ y.1+r ∧ y.2 ≤ x.2+r ∧ x.2 ≤ y.2+r := by
simp only [box,rect,lo,hi,Finset.mem_product,Finset.mem_Icc,le_min_iff]
omega
lemma box_self {N : ℕ} {x : Vertex} (hx : x ∈ square N) (r : ℕ) : x ∈ box N x r := by
rw [mem_box_iff]
have hx := square_mem.mp hx
omega
lemma box_subset {N r s : ℕ} {x : Vertex} (hrs : r ≤ s) : box N x r ⊆ box N x s := by
intro y hy
rw [mem_box_iff] at hy ⊢
omega
lemma box_subset_square (N : ℕ) (x : Vertex) (r : ℕ) : box N x r ⊆ square N := by
intro y hy
exact square_mem.mpr ⟨(mem_box_iff.mp hy).1,(mem_box_iff.mp hy).2.1⟩
lemma box_zero {N : ℕ} {x : Vertex} (hx : x ∈ square N) : box N x 0 = {x} := by
ext y
rw [mem_box_iff,Finset.mem_singleton]
have hx := square_mem.mp hx
constructor
· intro h
exact Prod.ext (by omega) (by omega)
· rintro rfl;omega
lemma box_full {N r : ℕ} {x : Vertex} (hx : x ∈ square N) (hr : N ≤ r) :
box N x r = square N := by
ext y
rw [mem_box_iff,square_mem]
have hx := square_mem.mp hx
omega
lemma side_lower {N x r : ℕ} (hx : x ≤ N) (hr : r ≤ N) :
r+1 ≤ (Finset.Icc (x-r) (min N (x+r))).card := by
rw [Nat.card_Icc]
omega
lemma side_upper (N x r : ℕ) :
(Finset.Icc (x-r) (min N (x+r))).card ≤ 2*r+1 := by
rw [Nat.card_Icc]
omega
lemma box_card_lower {N r : ℕ} {x : Vertex} (hx : x ∈ square N) (hr : r ≤ N) :
(r+1)^2 ≤ (box N x r).card := by
have hx := square_mem.mp hx
simpa [box,rect,lo,hi,pow_two] using Nat.mul_le_mul (side_lower hx.1 hr) (side_lower hx.2 hr)
lemma edges_sum (v : Vertex → ℝ) (l u : Vertex) :
∑ e ∈ edges l u, edgeGrad v e = grad₁ v l u+grad₂ v l u := by
simp [edges,Finset.sum_disjSum,Finset.sum_product,edgeGrad,grad₁,grad₂]
lemma edges_subset {l u l' u' : Vertex} (hl1 : l'.1 ≤ l.1) (hl2 : l'.2 ≤ l.2)
(hu1 : u.1 ≤ u'.1) (hu2 : u.2 ≤ u'.2) : edges l u ⊆ edges l' u' := by
intro e he
cases e with
| inl e =>
simp only [edges,Finset.inl_mem_disjSum,Finset.mem_product,Finset.mem_Ico,Finset.mem_Icc] at he ⊢
omega
| inr e =>
simp only [edges,Finset.inr_mem_disjSum,Finset.mem_product,Finset.mem_Ico,Finset.mem_Icc] at he ⊢
omega
lemma box_edges_subset (N : ℕ) (x : Vertex) (r : ℕ) :
edges (lo x r) (hi N x r) ⊆ edges (0,0) (N,N) := by
apply edges_subset <;> simp [lo,hi]
lemma anchor_mem_rect {l u : Vertex} {e : Edge} (he : e ∈ edges l u) : anchor e ∈ rect l u := by
cases e with
| inl e =>
simp only [edges,Finset.inl_mem_disjSum,Finset.mem_product,Finset.mem_Ico,Finset.mem_Icc] at he
exact Finset.mem_product.mpr ⟨Finset.mem_Icc.mpr ⟨he.1.1,he.1.2.le⟩,by simpa [anchor] using he.2⟩
| inr e =>
simp only [edges,Finset.inr_mem_disjSum,Finset.mem_product,Finset.mem_Ico,Finset.mem_Icc] at he
exact Finset.mem_product.mpr ⟨by simpa [anchor] using he.1,Finset.mem_Icc.mpr ⟨he.2.1,he.2.2.le⟩⟩
lemma edges_card_bound (N : ℕ) (x : Vertex) (r : ℕ) :
(edges (lo x r) (hi N x r)).card ≤ 2*(2*r+1)^2 := by
have hx := side_upper N x.1 r
have hy := side_upper N x.2 r
have hx' : (Finset.Ico (x.1-r) (min N (x.1+r))).card ≤ 2*r+1 := by
exact (Finset.card_le_card (by intro i hi;exact Finset.mem_Icc.mpr ⟨(Finset.mem_Ico.mp hi).1,(Finset.mem_Ico.mp hi).2.le⟩)).trans hx
have hy' : (Finset.Ico (x.2-r) (min N (x.2+r))).card ≤ 2*r+1 := by
exact (Finset.card_le_card (by intro i hi;exact Finset.mem_Icc.mpr ⟨(Finset.mem_Ico.mp hi).1,(Finset.mem_Ico.mp hi).2.le⟩)).trans hy
simp only [edges,lo,hi,Finset.card_disjSum,Finset.card_product]
nlinarith [Nat.mul_le_mul hx' hy, Nat.mul_le_mul hx hy']
lemma dyadic_step (v : Vertex → ℝ) {N : ℕ} {x : Vertex} (hx : x ∈ square N)
(s : ℕ) (hs : 1 ≤ s) (hsN : s ≤ N) :
|avg (box N x (s-1)) v-avg (box N x (2*s-1)) v| ≤
(4/(s:ℝ))*(∑ e ∈ edges (lo x (2*s-1)) (hi N x (2*s-1)), edgeGrad v e) := by
have hA : (box N x (s-1)).Nonempty := ⟨x,box_self hx _⟩
have hcard : (s:ℝ)^2 ≤ ((box N x (s-1)).card:ℝ) := by
have h := box_card_lower hx (show s-1 ≤ N by omega)
have he : s-1+1=s := by omega
rw [he] at h
exact_mod_cast h
have hside (i : ℕ) : ((Finset.Icc (i-(2*s-1)) (min N (i+(2*s-1)))).card:ℝ) ≤ 4*s := by
have h := side_upper N i (2*s-1)
have hh : 2*(2*s-1)+1 ≤ 4*s := by omega
exact_mod_cast h.trans hh
have hsp : (0:ℝ) < s := by exact_mod_cast hs
have hc : (0:ℝ) < (box N x (s-1)).card := Nat.cast_pos.mpr (Finset.card_pos.mpr hA)
have h := rect_avg_bound v (lo x (2*s-1)) (hi N x (2*s-1))
(box N x (s-1)) hA (box_subset (by omega)) (4*s) (hside x.1) (hside x.2)
rw [← edges_sum] at h
exact h.trans (mul_le_mul_of_nonneg_right (by
apply (div_le_div_iff₀ hc hsp).mpr
nlinarith) (Finset.sum_nonneg (fun e _ => by cases e <;> exact abs_nonneg _)))
end GridTrace.NatGrid
end
end OAI