Download lean/OAI/Combinatorics/PerfectMatching/ElementaryCount.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 4.64 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/PerfectMatching/ElementaryCount.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/PerfectMatching/ElementaryCount.lean
-
curl -L -o ElementaryCount.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/PerfectMatching/ElementaryCount.lean
4.64 kB
| import OAI.Combinatorics.PerfectMatching.CountCorrect | |
| namespace OAI | |
| section | |
| namespace BinaryMatching.Algorithm | |
| noncomputable section | |
| open Finset MatchingEntropy | |
| lemma count_zero_vertices (G : Input) (hn : G.n=0) : count G=1 := by | |
| classical | |
| let M : (completeGraph G.n).Matching := ⟨∅,fun v => by have := v.isLt; omega⟩ | |
| have hM (N : (completeGraph G.n).Matching) : N=M := by | |
| apply Subtype.ext | |
| apply Finset.eq_empty_of_forall_notMem | |
| intro e _ | |
| have := e.val.1.isLt | |
| omega | |
| unfold count | |
| rw [sum_eq_single M] | |
| · simp [M] | |
| · intro N _ hne | |
| exact (hne (hM N)).elim | |
| · simp | |
| lemma count_odd_vertices (G : Input) (hn : Odd G.n) : count G=0 := by | |
| classical | |
| have hempty : IsEmpty (completeGraph G.n).Matching := ⟨fun M => by | |
| have hh := (completeGraph G.n).matching_card_twice M | |
| simp only [Fintype.card_fin] at hh | |
| obtain ⟨r,hr⟩ := hn | |
| omega⟩ | |
| simp [count] | |
| lemma count_two_vertices (G : Input) (hn : G.n=2) : count G=rawMultiplicity G 0 1 := by | |
| classical | |
| let e : Pair G.n := ⟨(⟨0,by omega⟩,⟨1,by omega⟩),by simp⟩ | |
| have heq (f : Pair G.n) : f=e := by | |
| apply Subtype.ext | |
| apply Prod.ext <;> apply Fin.ext | |
| · have hh := f.property; have h1 := f.val.1.isLt; have h2 := f.val.2.isLt | |
| dsimp [e] at hh ⊢; omega | |
| · have hh := f.property; have h1 := f.val.1.isLt; have h2 := f.val.2.isLt | |
| dsimp [e] at hh ⊢; omega | |
| have heinc (v : Fin G.n) : (completeGraph G.n).Incident v e := by | |
| have hv := v.isLt | |
| change e.val.1=v ∨ e.val.2=v | |
| by_cases hz : v.val=0 | |
| · left; apply Fin.ext; exact hz.symm | |
| · right; apply Fin.ext; dsimp [e]; omega | |
| let M : (completeGraph G.n).Matching := ⟨{e},fun v => ⟨e,⟨by simp,heinc v⟩, | |
| fun _ h => by simpa only [mem_singleton] using h.1⟩⟩ | |
| have hM (N : (completeGraph G.n).Matching) : N=M := by | |
| apply Subtype.ext | |
| apply Finset.ext | |
| intro f | |
| have hfn := heq f | |
| obtain ⟨g,hg,_⟩ := N.property e.val.1 | |
| have hgn := heq g | |
| have hmem : e∈N.val := hgn ▸ hg.1 | |
| simp only [M,mem_singleton,hfn] | |
| exact iff_true_intro hmem | |
| unfold count | |
| rw [sum_eq_single M] | |
| · simp only [M,prod_singleton] | |
| unfold multiplicity rawMultiplicity | |
| dsimp [e] | |
| cases G.records.find? (fun r => r.left=0 && r.right=1) <;> rfl | |
| · intro N _ hne | |
| exact (hne (hM N)).elim | |
| · simp | |
| lemma present_endpoints_covered (G : Input) (e : Pair G.n) (he : 0 < multiplicity G e) : | |
| e.val.1.val∈covered G ∧ e.val.2.val∈covered G := by | |
| unfold multiplicity at he | |
| cases hf : G.records.find? (fun r => r.left=e.val.1.val && r.right=e.val.2.val) with | |
| | none => simp only [hf] at he; omega | |
| | some r => | |
| have hr := List.mem_of_find?_eq_some hf | |
| have hp := List.find?_some hf | |
| simp only [Bool.and_eq_true,decide_eq_true_eq] at hp | |
| simp only [hf] at he | |
| have hr' : r∈G.records.filter (fun r => 0 < r.multiplicity) := by simp [hr,he] | |
| constructor | |
| · simp only [covered,List.mem_toFinset,List.mem_flatMap] | |
| refine ⟨r,hr',?_⟩ | |
| simp [hp.1] | |
| · simp only [covered,List.mem_toFinset,List.mem_flatMap] | |
| refine ⟨r,hr',?_⟩ | |
| simp [hp.2] | |
| lemma positive_count_covered (G : Input) (hN : 0 < count G) : G.n ≤ (covered G).card := by | |
| obtain ⟨M,hM⟩ := positive_count_valid G hN | |
| have hsub : range G.n ⊆ covered G := by | |
| intro v hv | |
| let w : Fin G.n := ⟨v,mem_range.mp hv⟩ | |
| obtain ⟨e,⟨he,hinc⟩,_⟩ := M.property w | |
| have hep := present_endpoints_covered G e (hM e he) | |
| rcases hinc with h|h | |
| · have hh : e.val.1.val=v := congrArg Fin.val h | |
| simpa only [hh] using hep.1 | |
| · have hh : e.val.2.val=v := congrArg Fin.val h | |
| simpa only [hh] using hep.2 | |
| simpa only [card_range] using card_le_card hsub | |
| lemma count_zero_of_uncovered (G : Input) (hu : (covered G).card < G.n) : count G=0 := by | |
| by_contra hN | |
| have := positive_count_covered G (Nat.pos_of_ne_zero hN) | |
| omega | |
| theorem approximate_correct (G : Input) : | |
| approximate G ≤ count G ∧ count G ≤ 2^(9*G.n)*approximate G ∧ | |
| (approximate G=0 ↔ count G=0) := by | |
| unfold approximate | |
| split_ifs with hn0 hodd hn2 hcover | |
| · rw [count_zero_vertices G hn0,hn0] | |
| norm_num | |
| · rw [count_odd_vertices G hodd] | |
| simp | |
| · rw [count_two_vertices G hn2] | |
| refine ⟨le_rfl,?_,Iff.rfl⟩ | |
| exact Nat.le_mul_of_pos_left _ (by positivity) | |
| · rw [count_zero_of_uncovered G hcover] | |
| simp | |
| · have heven : Even G.n := Nat.not_odd_iff_even.mp hodd | |
| have hn : 4 ≤ G.n := by | |
| obtain ⟨r,hr⟩ := heven | |
| omega | |
| exact estimate_correct G hn heven | |
| end | |
| end BinaryMatching.Algorithm | |
| end | |
| end OAI | |