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d4317d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | import OAI.MeasureTheory.Falconer.Recursion.BlockRegularization
import OAI.MeasureTheory.Falconer.Recursion.PrefixCounting
namespace OAI
namespace PlanarFalconer
noncomputable def blockBin (L : Finset CellPath) (F : CellPath → List ℕ)
(N B i : ℕ) (p : CellPath) : ℕ :=
2 ^ Nat.log 2 (labeledChildren L F (blockDepth N B (i+1)) (blockDepth N B i) p).card
noncomputable def blockProduct (L : Finset CellPath) (F : CellPath → List ℕ)
(N B i : ℕ) (p : CellPath) : ℕ := ∏ j ∈ Finset.range i, blockBin L F N B j p
theorem blockBin_pos (L : Finset CellPath) (F : CellPath → List ℕ)
(N B i : ℕ) (p : CellPath) : 0 < blockBin L F N B i p := by
unfold blockBin; positivity
theorem blockProduct_pos (L : Finset CellPath) (F : CellPath → List ℕ)
(N B i : ℕ) (p : CellPath) : 0 < blockProduct L F N B i p := by
exact Finset.prod_pos (fun j _ => blockBin_pos L F N B j p)
theorem blockBin_le {N : ℕ} {L : Finset CellPath} (hL : L ⊆ dyadicPaths N)
(F : CellPath → List ℕ) (B i : ℕ) (p : CellPath) :
blockBin L F N B i p ≤ 4 ^ (blockDepth N B i-blockDepth N B (i+1)) := by
have hlog := child_bin_le (blockDepth_antitone N B (Nat.le_succ i)) (Nat.sub_le _ _) hL F p
have hp := Nat.pow_le_pow_right (by omega : 0 < 2) hlog
simpa only [pow_mul, show (2:ℕ)^2 = 4 by norm_num, blockBin] using hp
theorem blockClass_child_bounds (L : Finset CellPath) (N B : ℕ) (f : CellPath → List ℕ)
{K i : ℕ} (hi : i < K) (p : CellPath)
{P : CellPath}
(hP : P ∈ (classLeaves L (blockLabel L N B f K) (blockLabel L N B f K p)).image
(List.take (blockDepth N B (i+1)))) :
let F := blockLabel L N B f K
let C := classLeaves L F (F p)
blockBin L F N B i p ≤ (prefixChildren C (blockDepth N B (i+1)) (blockDepth N B i) P).card ∧
(prefixChildren C (blockDepth N B (i+1)) (blockDepth N B i) P).card ≤ 2*blockBin L F N B i p := by
classical
dsimp only
obtain ⟨q,hq,rfl⟩ := Finset.mem_image.mp hP
rw [prefixChildren_class_eq L _ _ _ hq]
have hqL := (Finset.mem_filter.mp hq).1
have hclass := (Finset.mem_filter.mp hq).2
unfold blockBin
rw [block_final_bin_eq L N B f hi hclass.symm]
have hpos := Finset.card_pos.mpr (labeledChildren_nonempty
(blockLabel L N B f K) (blockDepth N B (i+1)) (blockDepth N B i) hqL)
refine ⟨Nat.pow_log_le_self 2 (Nat.ne_of_gt hpos), ?_⟩
have hu := Nat.lt_pow_succ_log_self (by decide : 1 < 2)
(labeledChildren L (blockLabel L N B f K) (blockDepth N B (i+1)) (blockDepth N B i) q).card
simpa only [pow_succ, Nat.mul_comm] using hu.le
theorem blockClass_leaf_count {N : ℕ} {L : Finset CellPath} (hL : L ⊆ dyadicPaths N)
(B : ℕ) (f : CellPath → List ℕ) (K : ℕ) (p : CellPath)
{i : ℕ} (hi : i ≤ K) {P : CellPath}
(hP : P ∈ (classLeaves L (blockLabel L N B f K) (blockLabel L N B f K p)).image
(List.take (blockDepth N B i))) :
let F := blockLabel L N B f K
let C := classLeaves L F (F p)
blockProduct L F N B i p ≤ (prefixFiber C (blockDepth N B i) P).card ∧
(prefixFiber C (blockDepth N B i) P).card ≤ 2^i * blockProduct L F N B i p := by
classical
let F := blockLabel L N B f K
let C := classLeaves L F (F p)
have hC : C ⊆ dyadicPaths N := fun q hq => hL (Finset.mem_filter.mp hq).1
change blockProduct L F N B i p ≤ (prefixFiber C (blockDepth N B i) P).card ∧
(prefixFiber C (blockDepth N B i) P).card ≤ 2^i * blockProduct L F N B i p
change P ∈ C.image (List.take (blockDepth N B i)) at hP
induction i generalizing P with
| zero =>
obtain ⟨q,hq,rfl⟩ := Finset.mem_image.mp hP
have hlen : q.length = N := (mem_dyadicPaths _ _).mp (hC hq)
simp only [blockDepth, Nat.zero_mul, Nat.sub_zero, ← hlen, List.take_length]
rw [show q.length = N from hlen, prefixFiber_leaf hC hq]
simp [blockProduct]
| succ i ih =>
have hb := blockClass_child_bounds L N B f (by omega : i < K) p hP
have hc := prefixFiber_count_bounds (blockDepth_antitone N B (Nat.le_succ i)) P hb
(fun c hc => ih (by omega) (prefixChildren_mem_image hc))
dsimp only [blockProduct] at hc ⊢
rw [Finset.prod_range_succ]
constructor
· simpa only [Nat.mul_comm] using hc.1
· have hh := hc.2
convert hh using 1
ring
theorem blockClass_root_count {N : ℕ} {L : Finset CellPath} (hL : L ⊆ dyadicPaths N)
{B : ℕ} (hB : 0 < B) (f : CellPath → List ℕ) {p : CellPath} (hp : p ∈ L) :
let K := N/B+1
let F := blockLabel L N B f K
let C := classLeaves L F (F p)
blockProduct L F N B K p ≤ C.card ∧ C.card ≤ 2^K * blockProduct L F N B K p := by
classical
have hpC : p ∈ classLeaves L (blockLabel L N B f (N/B+1)) (blockLabel L N B f (N/B+1) p) := by
simp [classLeaves,hp]
have hc := blockClass_leaf_count hL B f (N/B+1) p (le_refl (N/B+1))
(P := []) (by rw [blockDepth_terminal N hB]; exact Finset.mem_image.mpr ⟨p,hpC,rfl⟩)
simpa only [blockDepth_terminal N hB, prefixFiber_zero] using hc
end PlanarFalconer
end OAI
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