Download lean/OAI/Probability/LatticePassage/Paths.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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5.2 kB
| import Mathlib.Combinatorics.SimpleGraph.Walk.Operations | |
| import Mathlib.Algebra.Order.Archimedean.Real.Basic | |
| import Mathlib.Tactic.Linarith | |
| import Mathlib.Tactic.Ring | |
| namespace OAI | |
| namespace CompanionFPP | |
| variable {V : Type*} {G : SimpleGraph V} | |
| abbrev Weights (G : SimpleGraph V) := G.edgeSet → ℝ | |
| def edgeCost (w : Weights G) {x y : V} (h : G.Adj x y) : ℝ := | |
| w ⟨s(x, y), h⟩ | |
| @[simp] theorem edgeCost_symm (w : Weights G) {x y : V} (h : G.Adj x y) : | |
| edgeCost w h.symm = edgeCost w h := by | |
| simp only [edgeCost, Sym2.eq_swap] | |
| def pathCost (w : Weights G) {x y : V} : G.Walk x y → ℝ | |
| | .nil => 0 | |
| | .cons h p => edgeCost w h + pathCost w p | |
| @[simp] theorem pathCost_nil (w : Weights G) (x : V) : | |
| pathCost w (SimpleGraph.Walk.nil : G.Walk x x) = 0 := rfl | |
| @[simp] theorem pathCost_cons (w : Weights G) {x y z : V} | |
| (h : G.Adj x y) (p : G.Walk y z) : | |
| pathCost w (.cons h p) = edgeCost w h + pathCost w p := rfl | |
| @[simp] theorem pathCost_append (w : Weights G) {x y z : V} | |
| (p : G.Walk x y) (q : G.Walk y z) : | |
| pathCost w (p.append q) = pathCost w p + pathCost w q := by | |
| induction p with | |
| | nil => simp | |
| | cons h p ih => simp [ih, add_assoc] | |
| theorem pathCost_nonneg (w : Weights G) (hw : ∀ e, 0 ≤ w e) | |
| {x y : V} (p : G.Walk x y) : 0 ≤ pathCost w p := by | |
| induction p with | |
| | nil => exact le_refl 0 | |
| | cons h p ih => exact add_nonneg (hw _) ih | |
| noncomputable def passageTime (w : Weights G) (x y : V) : ℝ := | |
| sInf (Set.range (fun p : G.Walk x y => pathCost w p)) | |
| theorem passageTime_le_pathCost (w : Weights G) (hw : ∀ e, 0 ≤ w e) | |
| {x y : V} (p : G.Walk x y) : passageTime w x y ≤ pathCost w p := by | |
| apply csInf_le | |
| · exact ⟨0, by rintro _ ⟨q, rfl⟩; exact pathCost_nonneg w hw q⟩ | |
| · exact ⟨p, rfl⟩ | |
| @[simp] theorem pathCost_reverse (w : Weights G) {x y : V} (p : G.Walk x y) : | |
| pathCost w p.reverse = pathCost w p := by | |
| induction p with | |
| | nil => simp | |
| | cons h p ih => | |
| simp [SimpleGraph.Walk.reverse_cons, ih, edgeCost, Sym2.eq_swap, add_comm] | |
| theorem passageTime_nonneg (w : Weights G) (hw : ∀ e, 0 ≤ w e) | |
| {x y : V} (hp : Nonempty (G.Walk x y)) : 0 ≤ passageTime w x y := by | |
| obtain ⟨p⟩ := hp | |
| apply le_csInf (s := Set.range (fun p : G.Walk x y => pathCost w p)) ⟨_, ⟨p, rfl⟩⟩ | |
| rintro _ ⟨q, rfl⟩ | |
| exact pathCost_nonneg w hw q | |
| @[simp] theorem passageTime_self (w : Weights G) (hw : ∀ e, 0 ≤ w e) (x : V) : | |
| passageTime w x x = 0 := by | |
| apply le_antisymm | |
| · simpa using passageTime_le_pathCost w hw (SimpleGraph.Walk.nil : G.Walk x x) | |
| · exact passageTime_nonneg w hw ⟨.nil⟩ | |
| theorem passageTime_symm (w : Weights G) (x y : V) : | |
| passageTime w x y = passageTime w y x := by | |
| unfold passageTime | |
| congr 1 | |
| ext t | |
| constructor <;> rintro ⟨p, rfl⟩ <;> exact ⟨p.reverse, pathCost_reverse w p⟩ | |
| theorem passageTime_triangle (w : Weights G) (hw : ∀ e, 0 ≤ w e) | |
| {x y z : V} (hxy : Nonempty (G.Walk x y)) (hyz : Nonempty (G.Walk y z)) : | |
| passageTime w x z ≤ passageTime w x y + passageTime w y z := by | |
| obtain ⟨p₀⟩ := hxy | |
| obtain ⟨q₀⟩ := hyz | |
| suffices h : passageTime w x z - passageTime w x y ≤ passageTime w y z by linarith | |
| apply le_csInf (s := Set.range (fun q : G.Walk y z => pathCost w q)) ⟨_, ⟨q₀, rfl⟩⟩ | |
| rintro _ ⟨q, rfl⟩ | |
| suffices h : passageTime w x z - pathCost w q ≤ passageTime w x y by linarith | |
| apply le_csInf (s := Set.range (fun p : G.Walk x y => pathCost w p)) ⟨_, ⟨p₀, rfl⟩⟩ | |
| rintro _ ⟨p, rfl⟩ | |
| have h := passageTime_le_pathCost w hw (p.append q) | |
| rw [pathCost_append] at h | |
| linarith | |
| structure Calibration (w : Weights G) where | |
| B : V → V → ℝ | |
| additive : ∀ x y z, B x z = B x y + B y z | |
| edge_le : ∀ {x y}, (h : G.Adj x y) → B x y ≤ edgeCost w h | |
| namespace Calibration | |
| variable {w : Weights G} (b : Calibration w) | |
| @[simp] theorem self (x : V) : b.B x x = 0 := by | |
| have h := b.additive x x x | |
| linarith | |
| @[simp] theorem reverse (x y : V) : b.B y x = -b.B x y := by | |
| have h := b.additive x y x | |
| rw [b.self] at h | |
| linarith | |
| theorem le_pathCost {x y : V} (p : G.Walk x y) : b.B x y ≤ pathCost w p := by | |
| induction p with | |
| | nil => simp | |
| | @cons x y z h p ih => | |
| rw [pathCost_cons, b.additive x y z] | |
| exact add_le_add (b.edge_le h) ih | |
| def defect {x y : V} (p : G.Walk x y) := pathCost w p - b.B x y | |
| theorem defect_nonneg {x y : V} (p : G.Walk x y) : 0 ≤ b.defect p := | |
| sub_nonneg.mpr (b.le_pathCost p) | |
| theorem defect_append {x y z : V} (p : G.Walk x y) (q : G.Walk y z) : | |
| b.defect (p.append q) = b.defect p + b.defect q := by | |
| simp only [defect, pathCost_append, b.additive x y z] | |
| ring | |
| theorem defect_subpath_le {a x y z : V} (p : G.Walk a x) | |
| (q : G.Walk x y) (r : G.Walk y z) : | |
| b.defect q ≤ b.defect ((p.append q).append r) := by | |
| rw [b.defect_append, b.defect_append] | |
| have := b.defect_nonneg p | |
| have := b.defect_nonneg r | |
| linarith | |
| theorem defect_eq_centered (o : V) (h : V → ℝ) {x y : V} (p : G.Walk x y) : | |
| b.defect p = (pathCost w p - (h y - h x)) - | |
| (b.B o y - h y) + (b.B o x - h x) := by | |
| have := b.additive o x y | |
| unfold defect | |
| linarith | |
| end Calibration | |
| end CompanionFPP | |
| end OAI | |