Download lean/OAI/Combinatorics/PerfectMatching/ObjectivePenalty.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 9.06 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/PerfectMatching/ObjectivePenalty.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Combinatorics/PerfectMatching/ObjectivePenalty.lean
-
curl -L -o ObjectivePenalty.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Combinatorics/PerfectMatching/ObjectivePenalty.lean
9.06 kB
| import OAI.Combinatorics.PerfectMatching.Violation | |
| namespace OAI | |
| section | |
| namespace BinaryMatching.Algorithm | |
| noncomputable section | |
| open Finset | |
| lemma foldl_max_le (l : List ℕ) (a b : ℕ) (ha : a≤b) (hl : ∀ x∈l,x≤b) : | |
| l.foldl max a≤b := by | |
| induction l generalizing a with | |
| | nil => exact ha | |
| | cons x xs ih => | |
| exact ih (max a x) (max_le ha (hl x (by simp))) (fun y hy => hl y (by simp [hy])) | |
| lemma le_foldl_max (l : List ℕ) (a : ℕ) : a≤l.foldl max a := by | |
| induction l generalizing a with | |
| | nil => rfl | |
| | cons x xs ih => exact (le_max_left a x).trans (ih (max a x)) | |
| lemma mem_le_foldl_max (l : List ℕ) (a x : ℕ) (hx : x∈l) : x≤l.foldl max a := by | |
| induction l generalizing a with | |
| | nil => simp at hx | |
| | cons y ys ih => | |
| rcases List.mem_cons.mp hx with rfl|h | |
| · exact (le_max_right a x).trans (le_foldl_max ys (max a x)) | |
| · exact ih (max a y) h | |
| lemma record_log_le_B (G : Input) (r : Record) (hr : r∈G.records) : Nat.log2 r.multiplicity≤B G := | |
| mem_le_foldl_max _ 0 _ (List.mem_map.mpr ⟨r,hr,rfl⟩) | |
| lemma multiplicity_log_le_B (G : Input) (e : Pair G.n) : Nat.log2 (multiplicity G e)≤B G := by | |
| unfold multiplicity | |
| cases he : G.records.find? (fun r => r.left=e.val.1.val && r.right=e.val.2.val) with | |
| | none => simp | |
| | some r => exact record_log_le_B G r (List.mem_of_find?_eq_some he) | |
| lemma B_le_L (G : Input) : B G≤L G := by | |
| have h : B G≤G.n+B G+1 := by omega | |
| have hp : 1≤G.n+B G+1 := by omega | |
| have hpow : G.n+B G+1≤(G.n+B G+1)^3 := by exact Nat.le_self_pow (by omega) _ | |
| unfold L | |
| omega | |
| lemma beta_bound (G : Input) (e : Pair G.n) : |(beta G e:ℝ)|≤L G := by | |
| unfold beta | |
| split_ifs | |
| · simp | |
| · have hh := (multiplicity_log_le_B G e).trans (B_le_L G) | |
| norm_cast | |
| lemma piece_slope_bound (k : ℕ) (p : Piece) (hp : p∈pieces k) : |(p.slope:ℝ)|≤k := by | |
| rcases (mem_pieces k p).1 hp with rfl|⟨j,hj,rfl⟩ | |
| · simp | |
| · simp only [Int.cast_sub,Int.cast_natCast,Int.cast_one] | |
| have hj' : (j:ℝ)+1≤k := by exact_mod_cast hj | |
| have hj0 : (0:ℝ)≤j := by positivity | |
| rw [abs_le]; constructor <;> linarith | |
| lemma piece_supergradient (k : ℕ) (p : Piece) (hp : p∈pieces k) (x : ℝ) | |
| (ha : p.evalReal x=psiReal k x) (z : ℝ) : | |
| psiReal k z≤psiReal k x+(p.slope:ℝ)*(z-x) := by | |
| have hh := psiReal_le_piece k z p hp | |
| rw [←ha] | |
| calc | |
| _ ≤ p.evalReal z := hh | |
| _ = p.evalReal x+(p.slope:ℝ)*(z-x) := by unfold Piece.evalReal; ring | |
| lemma selectedPiece_supergradient (k : ℕ) (x : ℚ) (z : ℝ) : | |
| psiReal k z≤psiReal k (x:ℝ)+(slope k x:ℝ)*(z-(x:ℝ)) := by | |
| apply piece_supergradient k (selectedPiece k x) | |
| (List.argmin_mem (selectedPiece_mem_argmin k x)) (x:ℝ) _ z | |
| rw [realPsi_cast] | |
| simp [Piece.evalReal,Piece.eval,psi] | |
| lemma psiReal_abs_sub (k : ℕ) (x y : ℝ) : |psiReal k x-psiReal k y|≤k*|x-y| := by | |
| have h (a b : ℝ) : psiReal k a-psiReal k b≤k*|a-b| := by | |
| have hm := List.argmin_mem (selectedReal_mem_argmin k b) | |
| have hh := piece_supergradient k (selectedReal k b) hm b rfl a | |
| have hb := piece_slope_bound k _ hm | |
| have hab := le_abs_self ((selectedReal k b).slope*(a-b)) | |
| rw [abs_mul] at hab | |
| have hu := mul_le_mul_of_nonneg_right hb (abs_nonneg (a-b)) | |
| linarith | |
| rw [abs_le] | |
| have hx := h x y | |
| have hy := h y x | |
| rw [abs_sub_comm y x] at hy | |
| exact ⟨by linarith,hx⟩ | |
| def objective (G : Input) (x : Pair G.n → ℝ) : ℝ := | |
| ∑ e, (psiReal (K G.n) (x e)+(beta G e:ℝ)*x e) | |
| def penalized (G : Input) (x : Pair G.n → ℝ) : ℝ := | |
| objective G x-(M₀ G:ℝ)*violation x | |
| lemma objective_lipschitz (G : Input) (x y : Pair G.n → ℝ) : | |
| |objective G x-objective G y|≤(K G.n+L G:ℝ)*∑ e,|x e-y e| := by | |
| unfold objective | |
| rw [←sum_sub_distrib,mul_sum] | |
| apply (abs_sum_le_sum_abs _ _).trans | |
| apply sum_le_sum; intro e _ | |
| have he : psiReal (K G.n) (x e)+(beta G e:ℝ)*x e- | |
| (psiReal (K G.n) (y e)+(beta G e:ℝ)*y e)= | |
| (psiReal (K G.n) (x e)-psiReal (K G.n) (y e))+(beta G e:ℝ)*(x e-y e) := by ring | |
| rw [he] | |
| have hb := mul_le_mul_of_nonneg_right (beta_bound G e) (abs_nonneg (x e-y e)) | |
| have hh := abs_add_le (psiReal (K G.n) (x e)-psiReal (K G.n) (y e)) ((beta G e:ℝ)*(x e-y e)) | |
| rw [abs_mul] at hh | |
| linarith [psiReal_abs_sub (K G.n) (x e) (y e)] | |
| lemma exact_penalty (G : Input) (hn : 4≤G.n) (heven : Even G.n) | |
| (x : Pair G.n → ℝ) (hx : ∀ e,x e∈Set.Icc (0:ℝ) 1) : | |
| ∃ y∈(completeGraph G.n).polytope,penalized G x≤objective G y := by | |
| obtain ⟨y,hy,hdist⟩ := violation_repair hn heven x hx | |
| refine ⟨y,hy,?_⟩ | |
| have hsum : (∑ e,|x e-y e|)≤(q G.n:ℝ)*(2+10*(G.n:ℝ)^2)*violation x := by | |
| calc | |
| _ ≤ ∑ _e : Pair G.n,(2+10*(G.n:ℝ)^2)*violation x := by | |
| apply sum_le_sum; intro e _; rw [abs_sub_comm]; exact hdist e | |
| _ = _ := by simp [q,mul_assoc] | |
| have hh := objective_lipschitz G x y | |
| have hmul := mul_le_mul_of_nonneg_left hsum (show (0:ℝ)≤K G.n+L G by positivity) | |
| have hM : (M₀ G:ℝ)=(q G.n:ℝ)*(K G.n+L G)*(2+10*(G.n:ℝ)^2) := by | |
| simp [M₀,A₀] | |
| unfold penalized | |
| rw [hM] | |
| have hab := le_abs_self (objective G x-objective G y) | |
| nlinarith | |
| lemma penalized_feasible (G : Input) (heven : Even G.n) {x : Pair G.n → ℝ} | |
| (hx : x∈(completeGraph G.n).polytope) : penalized G x=objective G x := by | |
| simp [penalized,violation_feasible heven hx] | |
| lemma trialValue_cast (G : Input) (a : Table G.n ℤ) (r : Affine G.n) : | |
| (trialValue G a r:ℝ)=objective G (fun e => (coordinates (D₀ G) a e:ℝ))- | |
| (M₀ G:ℝ)*r.evalReal (fun e => (coordinates (D₀ G) a e:ℝ)) := by | |
| simp [trialValue,objective,realPsi_cast,eval_cast] | |
| lemma trialValue_correct (G : Input) (hn : 2≤G.n) (heven : Even G.n) | |
| (hD : 0<D₀ G) (a : Table G.n ℤ) (ha : ∀ e,0≤entry a e) : | |
| (trialValue G a (activeRow (D₀ G) a):ℝ)= | |
| penalized G (fun e => (coordinates (D₀ G) a e:ℝ)) := by | |
| rw [trialValue_cast,(activeRow_correct hn heven hD a ha).2] | |
| rfl | |
| lemma gradient_supergradient (G : Input) (hn : 2≤G.n) (heven : Even G.n) | |
| (hD : 0<D₀ G) (a : Table G.n ℤ) (ha : ∀ e,0≤entry a e) | |
| (z : Pair G.n → ℝ) : | |
| penalized G z≤penalized G (fun e => (coordinates (D₀ G) a e:ℝ))+ | |
| ∑ e,(gradient G a (activeRow (D₀ G) a) e:ℝ)*(z e-(coordinates (D₀ G) a e:ℝ)) := by | |
| let x := fun e => (coordinates (D₀ G) a e:ℝ) | |
| let r := activeRow (D₀ G) a | |
| obtain ⟨hr,hract⟩ := activeRow_correct hn heven hD a ha | |
| have hrow := active_row_subgradient x r hr hract z | |
| have hf : objective G z≤objective G x+ | |
| ∑ e,((slope (K G.n) (coordinates (D₀ G) a e):ℝ)+(beta G e:ℝ))*(z e-x e) := by | |
| rw [objective,objective,←sum_add_distrib] | |
| apply sum_le_sum; intro e _ | |
| have hh := selectedPiece_supergradient (K G.n) (coordinates (D₀ G) a e) (z e) | |
| dsimp [x] at *; nlinarith | |
| have hm := mul_le_mul_of_nonneg_left hrow (show (0:ℝ)≤M₀ G by positivity) | |
| have hgrad : (∑ e,(gradient G a r e:ℝ)*(z e-x e))= | |
| (∑ e,((slope (K G.n) (coordinates (D₀ G) a e):ℝ)+(beta G e:ℝ))*(z e-x e))- | |
| (M₀ G:ℝ)*∑ e,(r.coeff e:ℝ)*(z e-x e) := by | |
| simp only [gradient,Int.cast_sub,Int.cast_add,Int.cast_mul,Int.cast_natCast, | |
| sub_mul,sum_sub_distrib,mul_assoc,mul_sum] | |
| change penalized G z≤penalized G x+∑ e,(gradient G a r e:ℝ)*(z e-x e) | |
| rw [hgrad] | |
| unfold penalized | |
| linarith | |
| lemma gradient_bound (G : Input) (hn : 2≤G.n) (heven : Even G.n) | |
| (hD : 0<D₀ G) (a : Table G.n ℤ) (ha : ∀ e,0≤entry a e) (e : Pair G.n) : | |
| |(gradient G a (activeRow (D₀ G) a) e:ℝ)|≤K G.n+L G+M₀ G := by | |
| have hrow := row_coeff_bound _ (activeRow_correct hn heven hD a ha).1 e | |
| have hs := piece_slope_bound (K G.n) _ (List.argmin_mem | |
| (selectedPiece_mem_argmin (K G.n) (coordinates (D₀ G) a e))) | |
| change |(slope (K G.n) (coordinates (D₀ G) a e):ℝ)|≤K G.n at hs | |
| have hm := mul_le_mul_of_nonneg_left hrow (show (0:ℝ)≤M₀ G by positivity) | |
| have hcast : (gradient G a (activeRow (D₀ G) a) e:ℝ)= | |
| (slope (K G.n) (coordinates (D₀ G) a e):ℝ)+(beta G e:ℝ)- | |
| (M₀ G:ℝ)*((activeRow (D₀ G) a).coeff e:ℝ) := by simp [gradient] | |
| rw [hcast] | |
| have hh := abs_sub ((slope (K G.n) (coordinates (D₀ G) a e):ℝ)+(beta G e:ℝ)) | |
| ((M₀ G:ℝ)*((activeRow (D₀ G) a).coeff e:ℝ)) | |
| rw [abs_mul,abs_of_nonneg (show (0:ℝ)≤M₀ G by positivity)] at hh | |
| linarith [abs_add_le (slope (K G.n) (coordinates (D₀ G) a e):ℝ) (beta G e:ℝ),beta_bound G e] | |
| lemma gradient_square_bound (G : Input) (hn : 2≤G.n) (heven : Even G.n) | |
| (hD : 0<D₀ G) (a : Table G.n ℤ) (ha : ∀ e,0≤entry a e) : | |
| (∑ e,(gradient G a (activeRow (D₀ G) a) e:ℝ)^2)≤D₀ G := by | |
| calc | |
| _ ≤ ∑ _e : Pair G.n,(K G.n+L G+M₀ G:ℝ)^2 := by | |
| apply sum_le_sum; intro e _ | |
| have hh := (sq_le_sq₀ (abs_nonneg _) (by positivity)).2 (gradient_bound G hn heven hD a ha e) | |
| simpa only [sq_abs] using hh | |
| _ = D₀ G := by simp [D₀,q] | |
| end | |
| end BinaryMatching.Algorithm | |
| end | |
| end OAI | |