Download lean/OAI/MeasureTheory/Falconer/Recursion/BlockLeafCounts.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 5.06 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/MeasureTheory/Falconer/Recursion/BlockLeafCounts.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/MeasureTheory/Falconer/Recursion/BlockLeafCounts.lean
-
curl -L -o BlockLeafCounts.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/MeasureTheory/Falconer/Recursion/BlockLeafCounts.lean
5.06 kB
| 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 | |