Download lean/OAI/Combinatorics/EditDistance/CutRealization.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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| import OAI.Combinatorics.EditDistance.CutModels | |
| import OAI.Combinatorics.EditDistance.DirectSums | |
| namespace OAI | |
| /-! | |
| # Realization of all finite-cut distances by one summable vector map | |
| -/ | |
| namespace EditCutModel | |
| attribute [local instance] Classical.propDecidable | |
| open scoped BigOperators | |
| open Finset | |
| noncomputable def Model.vector {X : Type*} (M : Model X) (x : X) : EditL1.L1 := | |
| EditL1.pack (fun j : Option M.Index => match j with | |
| | none => 0 | |
| | some i => lp.single (E := fun _ : ℕ => ℝ) 1 0 (if M.cut i x then M.weight i else 0)) | |
| lemma singleton_sub_norm (a b : ℝ) : | |
| ‖lp.single (E := fun _ : ℕ => ℝ) 1 0 a - lp.single (E := fun _ : ℕ => ℝ) 1 0 b‖ = |a-b| := by | |
| have he : lp.single (E := fun _ : ℕ => ℝ) 1 0 a - lp.single (E := fun _ : ℕ => ℝ) 1 0 b = | |
| lp.single (E := fun _ : ℕ => ℝ) 1 0 (a-b) := by | |
| ext i | |
| change (lp.single (E := fun _ : ℕ => ℝ) 1 0 a) i - (lp.single (E := fun _ : ℕ => ℝ) 1 0 b) i = (lp.single (E := fun _ : ℕ => ℝ) 1 0 (a-b)) i | |
| by_cases hi : i = 0 | |
| · subst i | |
| simp only [lp.single_apply_self] | |
| · rw [lp.single_apply_ne (E := fun _ : ℕ => ℝ) 1 0 a hi, | |
| lp.single_apply_ne (E := fun _ : ℕ => ℝ) 1 0 b hi, | |
| lp.single_apply_ne (E := fun _ : ℕ => ℝ) 1 0 (a-b) hi,sub_self] | |
| rw [he,lp.norm_single (by norm_num)] | |
| exact Real.norm_eq_abs _ | |
| lemma Model.vector_distance {X : Type*} (M : Model X) (x y : X) : | |
| ‖M.vector x-M.vector y‖ = M.dist x y := by | |
| unfold Model.vector | |
| rw [EditL1.pack_distance,Fintype.sum_option] | |
| simp only [sub_self,norm_zero,zero_add] | |
| unfold Model.dist | |
| apply sum_congr rfl | |
| intro i _ | |
| rw [singleton_sub_norm] | |
| cases hix : M.cut i x <;> cases hiy : M.cut i y <;> | |
| simp [sep, abs_of_nonneg (M.nonneg i)] | |
| end EditCutModel | |
| end OAI | |