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Sync from openai/math@faee2cf485a8 (part 9)

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  1. lean/OAI/Combinatorics/HadwigerCounterexample/AdaptiveProjectionBounds.lean +124 -124
  2. lean/OAI/Combinatorics/HadwigerCounterexample/AdaptiveRecordBounds.lean +102 -102
  3. lean/OAI/Combinatorics/HadwigerCounterexample/AdditionalProbeBounds.lean +171 -171
  4. lean/OAI/Combinatorics/HadwigerCounterexample/AffineFrames.lean +195 -195
  5. lean/OAI/Combinatorics/HadwigerCounterexample/AggregateCostBounds.lean +124 -124
  6. lean/OAI/Combinatorics/HadwigerCounterexample/AmbientBatchSlots.lean +211 -211
  7. lean/OAI/Combinatorics/HadwigerCounterexample/AnalyticParameters.lean +143 -143
  8. lean/OAI/Combinatorics/HadwigerCounterexample/AtomFlavors.lean +148 -148
  9. lean/OAI/Combinatorics/HadwigerCounterexample/AttackCutDecomposition.lean +277 -277
  10. lean/OAI/Combinatorics/HadwigerCounterexample/BaselineExtension.lean +124 -124
  11. lean/OAI/Combinatorics/HadwigerCounterexample/BaselineForms.lean +147 -147
  12. lean/OAI/Combinatorics/HadwigerCounterexample/BasisConditioning.lean +113 -113
  13. lean/OAI/Combinatorics/HadwigerCounterexample/BatchCharacters.lean +153 -153
  14. lean/OAI/Combinatorics/HadwigerCounterexample/BiasedRotationBounds.lean +142 -142
  15. lean/OAI/Combinatorics/HadwigerCounterexample/BilinearBlockCorrelation.lean +107 -107
  16. lean/OAI/Combinatorics/HadwigerCounterexample/BilinearCompression.lean +126 -126
  17. lean/OAI/Combinatorics/HadwigerCounterexample/BinaryEvaluationForms.lean +174 -174
  18. lean/OAI/Combinatorics/HadwigerCounterexample/BinaryMatrices.lean +125 -125
  19. lean/OAI/Combinatorics/HadwigerCounterexample/BinaryMixingBounds.lean +106 -106
  20. lean/OAI/Combinatorics/HadwigerCounterexample/BinaryPrescriptions.lean +265 -265
  21. lean/OAI/Combinatorics/HadwigerCounterexample/BinaryStatusComparison.lean +143 -143
  22. lean/OAI/Combinatorics/HadwigerCounterexample/BooleanLabels.lean +151 -151
  23. lean/OAI/Combinatorics/HadwigerCounterexample/BoundedQueryTemplates.lean +134 -134
  24. lean/OAI/Combinatorics/HadwigerCounterexample/CellPositivityScales.lean +177 -177
  25. lean/OAI/Combinatorics/HadwigerCounterexample/CellPruning.lean +128 -128
  26. lean/OAI/Combinatorics/HadwigerCounterexample/ChannelFactorization.lean +144 -144
  27. lean/OAI/Combinatorics/HadwigerCounterexample/ChannelFrameLaws.lean +186 -186
  28. lean/OAI/Combinatorics/HadwigerCounterexample/CollisionInequality.lean +204 -204
  29. lean/OAI/Combinatorics/HadwigerCounterexample/CommonPartitionRefinement.lean +79 -79
  30. lean/OAI/Combinatorics/HadwigerCounterexample/CommonPartitions.lean +119 -119
  31. lean/OAI/Combinatorics/HadwigerCounterexample/CommonPredictions.lean +112 -112
  32. lean/OAI/Combinatorics/HadwigerCounterexample/CompatibleOptionRealization.lean +130 -130
  33. lean/OAI/Combinatorics/HadwigerCounterexample/CompatiblePairTests.lean +105 -105
  34. lean/OAI/Combinatorics/HadwigerCounterexample/CompatibleTableEvents.lean +149 -149
  35. lean/OAI/Combinatorics/HadwigerCounterexample/ComponentIndices.lean +115 -115
  36. lean/OAI/Combinatorics/HadwigerCounterexample/ConcentrationScales.lean +169 -169
  37. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalCellEntropy.lean +156 -156
  38. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalFlags.lean +107 -107
  39. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalFourCorners.lean +101 -101
  40. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalLargeSetHits.lean +106 -106
  41. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalProductLaws.lean +125 -125
  42. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalProjection.lean +96 -96
  43. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalSignaturePositivity.lean +110 -110
  44. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionedBatchLaws.lean +198 -198
  45. lean/OAI/Combinatorics/HadwigerCounterexample/ConditionedCorrelations.lean +97 -97
  46. lean/OAI/Combinatorics/HadwigerCounterexample/ConstructionScales.lean +100 -100
  47. lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateBlocks.lean +147 -147
  48. lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateDuality.lean +87 -87
  49. lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateEmbeddings.lean +163 -163
  50. lean/OAI/Combinatorics/HadwigerCounterexample/CoverAlternatives.lean +86 -86
lean/OAI/Combinatorics/HadwigerCounterexample/AdaptiveProjectionBounds.lean CHANGED
@@ -1,124 +1,124 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.KeyProjectionBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Adaptive Projection Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix
10
- open scoped BigOperators Topology
11
- open Template
12
- namespace StatusAnalysis
13
- variable {p:Shape} {n N K M r z s0:ℕ} {q:Format} {d e:Rates} {b:Bool}
14
-
15
- private theorem avg_side_bounds {A : Type} [Fintype A] (w : Wgt A) (hw:IsLaw w)
16
- (b:Bool) (f : Wgt A) (F:A×A→ℝ) (h:∀ i,F i≤f (onSide i b)) :
17
- avg (pairW w w) F≤avg w f := by
18
- apply (avg_mono (pairW_law hw hw).nz h).trans
19
- cases b
20
- · rw [pairW_avg]
21
- simp [onSide,hw.avg_const]
22
- rw [pairW_avg]; simp only [onSide,ite_true,hw.avg_const]; rfl
23
-
24
- namespace Quill
25
- variable (w:Quill p q d b)
26
- (m:Mixer p n) (t:Tagging p (Messenger q)) (φ:Messenger q→F)
27
- (u:LeafMixture p n N) (Y:Silhouette p N r)
28
-
29
- set_option maxHeartbeats 1200000 in
30
- theorem oneTrestle (omega_:Wgt u.T) (hv:IsLaw omega_) (s:u.T→ Charts p n d)
31
- (μ:u.T→Wgt (UnitType p n N)) (hμ:∀ i,IsLaw (μ i))
32
- (P : Keys (p:=p) t N→ Fin z) (F:u.T×u.T → UnitType p n N→Prop)
33
- (hF : ∀ i o,F i o→PreparationParameters.frameSide p m o)
34
- (hw:∀ i,IsLaw (w.policies t φ n i)) (hν:IsLaw (lawNu p N t φ))
35
- (ε v A B:ℝ) (he:0≤ε)
36
- (ha:∀ i:Fin z,
37
- pr (mixW omega_ μ) (w.flunk t φ Y (fun x=>ind (P x=i)) m v ε) ≤ A)
38
- (hh: pr (mixW omega_ μ) (fun x=>¬ w.matchesArea t φ Y x v)≤B) :
39
- let L (i:u.T×u.T):=onSide i b
40
- avg (pairW omega_ omega_) (fun i=>varOne (mapW (w.displayMass t φ (μ (L i)) (F i) m (s (L i)) Y) P)
41
- (mapW (w.sales t φ (μ (L i)) (F i) m (s (L i))) P)) ≤ z*(ε+2*(A+B)) := by
42
- classical
43
- intro L
44
- let Q (i:u.T×u.T) (x:Fin z):=
45
- |mapW (w.displayMass t φ (μ (L i)) (F i) m (s (L i)) Y) P x-
46
- mapW (w.sales t φ (μ (L i)) (F i) m (s (L i))) P x|
47
- let V:= pairW omega_ omega_
48
- have h (x : Fin z) :
49
- avg V (fun i=>Q i x) ≤ ε+ 2*(A+B) := by
50
- let H k:= P k=x
51
- let R:= w.flunk t φ Y (fun i=>ind (H i)) m v ε
52
- let Z (i:UnitType p n N):= ¬ w.matchesArea t φ Y i v
53
- let S o:=R o∨ Z o
54
- have heq (i): Q i x≤ ε+2*pr (μ (L i)) S := by
55
- refine w.display_test t φ (μ (L i)) (F i) m (s (L i)) Y H (hμ _) hw hν S he
56
- (fun y hy hz=> ?_)
57
- by_cases hf :Z y
58
- · exact Or.inr hf
59
- exact Or.inl ⟨hF _ _ hy,not_not.mp hf,s (L i),hz⟩
60
- let U:=mixW omega_ μ
61
- have hu : IsLaw U:=mixW_law hv hμ
62
- have hm (o) : avg omega_ (fun i=>pr (μ i) o)= pr U o := (mixW_avg ..).symm
63
- apply (avg_side_bounds omega_ hv b (fun i=>ε+2*pr (μ i) S) _ heq).trans
64
- rw [avg_add,avg_mul',hm,hv.avg_const]
65
- exact add_le_add_right (mul_le_mul_of_nonneg_left ((pr_or_le hu.nz).trans
66
- (add_le_add (ha _) hh)) (by norm_num)) _
67
- change avg V (fun x=> ∑ i,Q x i) ≤ _
68
- rw [avg_sum]; exact (Finset.sum_le_sum fun i _=> h i).trans_eq (by simp; ring)
69
- end Quill
70
-
71
- open Station PreparationParameters
72
- namespace Station
73
- variable {w:LeafMixture p n N} (t:Station p n N K w)
74
- (x:Typus p q d e) (m:Mixer p n) (k: Fin (2^deckMax p K))
75
- (μ:Wgt (UnitType p n N)) (Y:Silhouette p N r)
76
-
77
- theorem gauzed_area (Y:Silhouette p N r) (w : Quill p q d b)
78
- (t: Tagging p (Messenger q)) (u : Messenger q → F)
79
- (h:w.moral t u) (δ:ℝ)
80
- {K : ℕ} {m:Mixer p n} {ε v:ℝ} (he:ε≤v)
81
- (o : UnitType p n N) (hc:gauze p ε δ Y m K o) :
82
- w.matchesArea t u Y o v := by
83
- intro i; have heq := w.allure_apt t u h i
84
- exact ((hc _ (w.allure t u i)).1 heq).trans he
85
-
86
- set_option maxHeartbeats 1200000 in
87
- theorem projectSum (P : Keys (p:=p) x.t N→Fin z)
88
- (h :apart w.T) (hm:IsLaw μ) (hw :∀ i∈w.T,0<partMass μ i) (hs : 0<w.amount μ)
89
- (ha : ∀ i,IsLaw (x.qA.policies x.t x.z n i)) (hb:∀ i,IsLaw (x.qB.policies x.t x.z n i))
90
- (hν : IsLaw (lawNu p N x.t x.z)) (ε v v' τ B δ : ℝ) (he:0≤ε)
91
- (hf : x.permission)
92
- (ht : τ ≤ v ∧ τ≤v')
93
- (hh : pr (w.sap μ) (fun i=>¬gauze p τ δ Y m K i)≤B)
94
- (hx : ∀ i:Fin z,pr (w.sap μ) (x.qA.flunk x.t x.z Y (fun y=>ind (P y=i)) m v ε)≤B)
95
- (hy : ∀ i:Fin z,pr (w.sap μ) (x.qB.flunk x.t x.z Y (fun y=>ind (P y=i)) m v' ε)≤B) :
96
- t.due x m μ k Y P≤2*(z*(ε+2*(B+B))) := by
97
- classical
98
- obtain ⟨hp,hq⟩:=rebuild hm.nz h hw hs
99
- let A (i:w.T):=partW μ i.val
100
- let u:=portionW μ w.T
101
- have hQ : w.sap μ=mixW u A :=hq
102
- let V:=pairW u u; have hA i:IsLaw (A i):=on_law hm.nz (hw i.val i.property)
103
- have hL : avg V (fun i=> taxLeft t x m μ k Y P i.1 i.2) ≤ z*(ε+2*(B+B)) := by
104
- refine x.qA.oneTrestle m x.t x.z w Y u hp (fun i=>t.cAxes i d) A hA P
105
- (fun i=> t.frontPage x m i.1 i.2 k) (fun i o h => h.2.2.1) ha hν ε v B B he
106
- (fun i=>by rw [←hQ]; exact hx i) ?_
107
- rw [←hQ]; apply (pr_mono (LeafMixture.sapLaw hs hm).nz ?_).trans hh
108
- exact fun i hi h=> hi (gauzed_area _ _ _ _ hf.2.1 δ ht.1 i h)
109
- have hR : avg V (fun i=> taxRight t x m μ k Y P i.1 i.2) ≤ z*(ε+2*(B+B)) := by
110
- refine x.qB.oneTrestle m x.t x.z w Y u hp (fun i=>t.cAxes i e) A hA P
111
- (fun i=> t.backPage x m i.1 i.2 k) (fun i o h => h.2.2.1) hb hν ε v' B B he
112
- (fun i=>by rw [←hQ]; exact hy i) ?_
113
- rw [←hQ]; apply (pr_mono (LeafMixture.sapLaw hs hm).nz ?_).trans hh
114
- exact fun i hi h=>hi (gauzed_area _ _ _ _ hf.2.2.1 δ ht.2 i h)
115
- unfold due; rw [avg_add,two_mul]
116
- exact add_le_add hL hR
117
-
118
- end Station
119
- end StatusAnalysis
120
- end HadwigerCounterexample
121
-
122
- end
123
-
124
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.KeyProjectionBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Adaptive Projection Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ namespace StatusAnalysis
13
+ variable {p:Shape} {n N K M r z s0:ℕ} {q:Format} {d e:Rates} {b:Bool}
14
+
15
+ private theorem avg_side_bounds {A : Type} [Fintype A] (w : Wgt A) (hw:IsLaw w)
16
+ (b:Bool) (f : Wgt A) (F:A×A→ℝ) (h:∀ i,F i≤f (onSide i b)) :
17
+ avg (pairW w w) F≤avg w f := by
18
+ apply (avg_mono (pairW_law hw hw).nz h).trans
19
+ cases b
20
+ · rw [pairW_avg]
21
+ simp [onSide,hw.avg_const]
22
+ rw [pairW_avg]; simp only [onSide,ite_true,hw.avg_const]; rfl
23
+
24
+ namespace Quill
25
+ variable (w:Quill p q d b)
26
+ (m:Mixer p n) (t:Tagging p (Messenger q)) (φ:Messenger q→F)
27
+ (u:LeafMixture p n N) (Y:Silhouette p N r)
28
+
29
+ set_option maxHeartbeats 1200000 in
30
+ theorem oneTrestle (omega_:Wgt u.T) (hv:IsLaw omega_) (s:u.T→ Charts p n d)
31
+ (μ:u.T→Wgt (UnitType p n N)) (hμ:∀ i,IsLaw (μ i))
32
+ (P : Keys (p:=p) t N→ Fin z) (F:u.T×u.T → UnitType p n N→Prop)
33
+ (hF : ∀ i o,F i o→PreparationParameters.frameSide p m o)
34
+ (hw:∀ i,IsLaw (w.policies t φ n i)) (hν:IsLaw (lawNu p N t φ))
35
+ (ε v A B:ℝ) (he:0≤ε)
36
+ (ha:∀ i:Fin z,
37
+ pr (mixW omega_ μ) (w.flunk t φ Y (fun x=>ind (P x=i)) m v ε) ≤ A)
38
+ (hh: pr (mixW omega_ μ) (fun x=>¬ w.matchesArea t φ Y x v)≤B) :
39
+ let L (i:u.T×u.T):=onSide i b
40
+ avg (pairW omega_ omega_) (fun i=>varOne (mapW (w.displayMass t φ (μ (L i)) (F i) m (s (L i)) Y) P)
41
+ (mapW (w.sales t φ (μ (L i)) (F i) m (s (L i))) P)) ≤ z*(ε+2*(A+B)) := by
42
+ classical
43
+ intro L
44
+ let Q (i:u.T×u.T) (x:Fin z):=
45
+ |mapW (w.displayMass t φ (μ (L i)) (F i) m (s (L i)) Y) P x-
46
+ mapW (w.sales t φ (μ (L i)) (F i) m (s (L i))) P x|
47
+ let V:= pairW omega_ omega_
48
+ have h (x : Fin z) :
49
+ avg V (fun i=>Q i x) ≤ ε+ 2*(A+B) := by
50
+ let H k:= P k=x
51
+ let R:= w.flunk t φ Y (fun i=>ind (H i)) m v ε
52
+ let Z (i:UnitType p n N):= ¬ w.matchesArea t φ Y i v
53
+ let S o:=R o∨ Z o
54
+ have heq (i): Q i x≤ ε+2*pr (μ (L i)) S := by
55
+ refine w.display_test t φ (μ (L i)) (F i) m (s (L i)) Y H (hμ _) hw hν S he
56
+ (fun y hy hz=> ?_)
57
+ by_cases hf :Z y
58
+ · exact Or.inr hf
59
+ exact Or.inl ⟨hF _ _ hy,not_not.mp hf,s (L i),hz⟩
60
+ let U:=mixW omega_ μ
61
+ have hu : IsLaw U:=mixW_law hv hμ
62
+ have hm (o) : avg omega_ (fun i=>pr (μ i) o)= pr U o := (mixW_avg ..).symm
63
+ apply (avg_side_bounds omega_ hv b (fun i=>ε+2*pr (μ i) S) _ heq).trans
64
+ rw [avg_add,avg_mul',hm,hv.avg_const]
65
+ exact add_le_add_right (mul_le_mul_of_nonneg_left ((pr_or_le hu.nz).trans
66
+ (add_le_add (ha _) hh)) (by norm_num)) _
67
+ change avg V (fun x=> ∑ i,Q x i) ≤ _
68
+ rw [avg_sum]; exact (Finset.sum_le_sum fun i _=> h i).trans_eq (by simp; ring)
69
+ end Quill
70
+
71
+ open Station PreparationParameters
72
+ namespace Station
73
+ variable {w:LeafMixture p n N} (t:Station p n N K w)
74
+ (x:Typus p q d e) (m:Mixer p n) (k: Fin (2^deckMax p K))
75
+ (μ:Wgt (UnitType p n N)) (Y:Silhouette p N r)
76
+
77
+ theorem gauzed_area (Y:Silhouette p N r) (w : Quill p q d b)
78
+ (t: Tagging p (Messenger q)) (u : Messenger q → F)
79
+ (h:w.moral t u) (δ:ℝ)
80
+ {K : ℕ} {m:Mixer p n} {ε v:ℝ} (he:ε≤v)
81
+ (o : UnitType p n N) (hc:gauze p ε δ Y m K o) :
82
+ w.matchesArea t u Y o v := by
83
+ intro i; have heq := w.allure_apt t u h i
84
+ exact ((hc _ (w.allure t u i)).1 heq).trans he
85
+
86
+ set_option maxHeartbeats 1200000 in
87
+ theorem projectSum (P : Keys (p:=p) x.t N→Fin z)
88
+ (h :apart w.T) (hm:IsLaw μ) (hw :∀ i∈w.T,0<partMass μ i) (hs : 0<w.amount μ)
89
+ (ha : ∀ i,IsLaw (x.qA.policies x.t x.z n i)) (hb:∀ i,IsLaw (x.qB.policies x.t x.z n i))
90
+ (hν : IsLaw (lawNu p N x.t x.z)) (ε v v' τ B δ : ℝ) (he:0≤ε)
91
+ (hf : x.permission)
92
+ (ht : τ ≤ v ∧ τ≤v')
93
+ (hh : pr (w.sap μ) (fun i=>¬gauze p τ δ Y m K i)≤B)
94
+ (hx : ∀ i:Fin z,pr (w.sap μ) (x.qA.flunk x.t x.z Y (fun y=>ind (P y=i)) m v ε)≤B)
95
+ (hy : ∀ i:Fin z,pr (w.sap μ) (x.qB.flunk x.t x.z Y (fun y=>ind (P y=i)) m v' ε)≤B) :
96
+ t.due x m μ k Y P≤2*(z*(ε+2*(B+B))) := by
97
+ classical
98
+ obtain ⟨hp,hq⟩:=rebuild hm.nz h hw hs
99
+ let A (i:w.T):=partW μ i.val
100
+ let u:=portionW μ w.T
101
+ have hQ : w.sap μ=mixW u A :=hq
102
+ let V:=pairW u u; have hA i:IsLaw (A i):=on_law hm.nz (hw i.val i.property)
103
+ have hL : avg V (fun i=> taxLeft t x m μ k Y P i.1 i.2) ≤ z*(ε+2*(B+B)) := by
104
+ refine x.qA.oneTrestle m x.t x.z w Y u hp (fun i=>t.cAxes i d) A hA P
105
+ (fun i=> t.frontPage x m i.1 i.2 k) (fun i o h => h.2.2.1) ha hν ε v B B he
106
+ (fun i=>by rw [←hQ]; exact hx i) ?_
107
+ rw [←hQ]; apply (pr_mono (LeafMixture.sapLaw hs hm).nz ?_).trans hh
108
+ exact fun i hi h=> hi (gauzed_area _ _ _ _ hf.2.1 δ ht.1 i h)
109
+ have hR : avg V (fun i=> taxRight t x m μ k Y P i.1 i.2) ≤ z*(ε+2*(B+B)) := by
110
+ refine x.qB.oneTrestle m x.t x.z w Y u hp (fun i=>t.cAxes i e) A hA P
111
+ (fun i=> t.backPage x m i.1 i.2 k) (fun i o h => h.2.2.1) hb hν ε v' B B he
112
+ (fun i=>by rw [←hQ]; exact hy i) ?_
113
+ rw [←hQ]; apply (pr_mono (LeafMixture.sapLaw hs hm).nz ?_).trans hh
114
+ exact fun i hi h=>hi (gauzed_area _ _ _ _ hf.2.2.1 δ ht.2 i h)
115
+ unfold due; rw [avg_add,two_mul]
116
+ exact add_le_add hL hR
117
+
118
+ end Station
119
+ end StatusAnalysis
120
+ end HadwigerCounterexample
121
+
122
+ end
123
+
124
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AdaptiveRecordBounds.lean CHANGED
@@ -1,102 +1,102 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.IndependentTestWitnesses
2
-
3
- namespace OAI
4
-
5
- /-! # Adaptive Record Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Submodule Function Finset
10
- open scoped BigOperators
11
- variable {p : Shape} {n N r : ℕ} {T : Cov p N}
12
-
13
- def quest (p : Shape) (r k n N : ℕ) (H ε : ℝ) :=
14
- ∀ x : ℕ,x≤2*r →
15
- bp ((x:ℝ)*N)*bp (0.51*k*N)*(H*heatRate p n N ε x k)≤bp (-0.2*N)
16
-
17
- namespace Bazaar
18
- variable (s : Bazaar p n r T)
19
-
20
- set_option maxHeartbeats 800000 in
21
- private theorem probe_event {w : Wgt (UnitType p n N)} {Δ}
22
- (hw : IsLaw w) (h : s.opened Δ w)
23
- (S : Party) (j : Bool) (hi : S j=1) {k : ℕ}
24
- {q : Place p→ℕ} (R : DTuple (p:=p) q N) (F : Catalog p T r q)
25
- (hq : ctot p q=k) (hr : ∀ M Z,(↑(F M Z).card:ℝ) ≤ bp (0.51*k*N))
26
- (m : Mixer p n) {ε H : ℝ} (he₀ : initCap p N m ε) (hH : 0≤H) (hZ : quest p r k n N H ε)
27
- (hg : ∀ x,w x≤H*pairW (raw m N) (raw m N) x)
28
- (hT : num (Atlas p r T) ≤ bp (0.002*N)) :
29
- pr w (fun x => s.atList S j R F x ∧ glimpse p x j R) ≤ bp (-0.1*N) := by
30
- classical
31
- let P (M : Atlas p r T) (z : Batch M N) (v : DTuple (p:=p) q N) :=
32
- fun x => basisFrom p (x : UnitType p n N) j z ∧ glimpse p x j R ∧ thermal p x S R=v
33
- let L (M : Atlas p r T) (x) := standard M ∧ ∃ z,∃ v∈ F M z,P M z v x
34
- have he x : w x≠0 → s.atList S j R F x ∧ glimpse p x j R →
35
- ∃ M,L M x := by
36
- rintro hx ⟨hx',hy⟩
37
- exact ⟨s.ix x,(h x hx).1,s.bag (s.ix x) j x, thermal p x S R,hx',
38
- ((h x hx).2 j).1,hy,rfl⟩
39
- have ht (M : Atlas p r T) : pr w (L M) ≤ bp (-0.2*N) := by
40
- by_cases hu : standard M
41
- · let x := cells M
42
- have hb (z : Batch M N) :
43
- pr w (fun y => ∃ v∈F M z,P M z v y) ≤ bp (0.51*k*N)*(H*heatRate p n N ε x k) := by
44
- have ha v : pr w (P M z v) ≤ H*heatRate p n N ε x k := by
45
- rw [← hq]; exact (pr_cap hg _).trans
46
- (mul_le_mul_of_nonneg_left (heat_rate _ S hi R v z m he₀) hH)
47
- refine (pr_union_le hw.nz (F M z) (P M z)).trans ((Finset.sum_le_sum fun v _ => ha v).trans ?_)
48
- rw [Finset.sum_const,nsmul_eq_mul]
49
- apply mul_le_mul_of_nonneg_right (hr M z)
50
- unfold heatRate
51
- exact mul_nonneg hH (mul_nonneg (bp_pos _).le (bp_pos _).le)
52
- simp only [L,hu,true_and]
53
- refine (pr_exists_le hw.nz (fun z y => ∃ v∈F M z,P M z v y)).trans
54
- ((Finset.sum_le_sum (fun z _ => hb z)).trans ?_)
55
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,card_space]
56
- rw [show dim (Batch M N)=x*N from tuple_dim.trans (Nat.mul_comm ..),
57
- Nat.cast_mul, ← mul_assoc]
58
- exact hZ x hu.2.1
59
- simp only [L,hu,false_and,pr_false]
60
- exact (bp_pos _).le
61
- refine ((pr_on_mono hw.nz he).trans (pr_exists_le hw.nz L)).trans
62
- ((Finset.sum_le_sum fun i _ => ht i).trans ?_)
63
- rw [Finset.sum_const,nsmul_eq_mul]
64
- apply (mul_le_mul_of_nonneg_right hT (bp_pos _).le).trans
65
- rw [←bp_add]
66
- apply bp_le; linarith [(Nat.cast_nonneg N : 0≤(N:ℝ))]
67
-
68
- set_option maxHeartbeats 600000 in
69
- theorem frequent_sparse {w : Wgt (UnitType p n N)} {Δ}
70
- (hw : IsLaw w) (h : s.opened Δ w)
71
- (S : Party) (j : Bool) (hi : S j=1)
72
- (k d : ℕ) (hh : k ≤ d) (l : ℝ) (hl : 0< l)
73
- (hC : ∀ C : Cov p N,cdim p C≤d → pr w (fun x => offsetCov (s.ix x) ≤ C) ≤ l)
74
- (hb : ∀ A M Z,(↑(s.bids w S j A M Z).card:ℝ) ≤ bp (0.51*N))
75
- (m : Mixer p n) {ε H L : ℝ} (hN : 2*num (Full p n)-N≤ -1)
76
- (he : initCap p N m ε)
77
- (hH : 0≤H) (hZ : quest p r k n N H ε)
78
- (hg : ∀ x,w x≤H*pairW (raw m N) (raw m N) x)
79
- (hL : 0 ≤ L) (hv : bySide p w m L)
80
- (hT : num (Atlas p r T) ≤ bp (0.002*N))
81
- (hk : glimpsesBill p k L+bp (-0.1*N)<l^(k+1)) :
82
- pr (pairW w w) (fun x => s.frequent w S j (s.ix x.1) (s.ix x.2) x.2) ≤5*l := by
83
- classical
84
- by_contra! hr
85
- obtain ⟨q,R,F,hq,hR,hF,hx⟩ := s.shooting hw S j k d hh l hl hr.le hC hb
86
- have hp := s.probe_event hw h S j hi R F hq hF m he hH hZ hg hT
87
- have hq' z : q z≤ k := hq ▸ Finset.single_le_sum (fun i _ => Nat.zero_le (q i))
88
- (Finset.mem_univ z)
89
- have hu := glimpse_failure m hL hv hw.sub j hN R k hR hq'
90
- let T := fun (x : UnitType p n N) => glimpse p x j R
91
- let V := s.atList S j R F
92
- have hh' x : V x → ¬T x ∨ (V x ∧ T x) := fun h => by by_cases ht:T x <;> simp [ht,h]
93
- exact not_lt_of_ge
94
- (hx.trans ((pr_mono hw.nz hh').trans ((pr_or_le hw.nz).trans (add_le_add hu hp)))) hk
95
-
96
- end Bazaar
97
-
98
- end HadwigerCounterexample
99
-
100
- end
101
-
102
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.IndependentTestWitnesses
2
+
3
+ namespace OAI
4
+
5
+ /-! # Adaptive Record Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Submodule Function Finset
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N r : ℕ} {T : Cov p N}
12
+
13
+ def quest (p : Shape) (r k n N : ℕ) (H ε : ℝ) :=
14
+ ∀ x : ℕ,x≤2*r →
15
+ bp ((x:ℝ)*N)*bp (0.51*k*N)*(H*heatRate p n N ε x k)≤bp (-0.2*N)
16
+
17
+ namespace Bazaar
18
+ variable (s : Bazaar p n r T)
19
+
20
+ set_option maxHeartbeats 800000 in
21
+ private theorem probe_event {w : Wgt (UnitType p n N)} {Δ}
22
+ (hw : IsLaw w) (h : s.opened Δ w)
23
+ (S : Party) (j : Bool) (hi : S j=1) {k : ℕ}
24
+ {q : Place p→ℕ} (R : DTuple (p:=p) q N) (F : Catalog p T r q)
25
+ (hq : ctot p q=k) (hr : ∀ M Z,(↑(F M Z).card:ℝ) ≤ bp (0.51*k*N))
26
+ (m : Mixer p n) {ε H : ℝ} (he₀ : initCap p N m ε) (hH : 0≤H) (hZ : quest p r k n N H ε)
27
+ (hg : ∀ x,w x≤H*pairW (raw m N) (raw m N) x)
28
+ (hT : num (Atlas p r T) ≤ bp (0.002*N)) :
29
+ pr w (fun x => s.atList S j R F x ∧ glimpse p x j R) ≤ bp (-0.1*N) := by
30
+ classical
31
+ let P (M : Atlas p r T) (z : Batch M N) (v : DTuple (p:=p) q N) :=
32
+ fun x => basisFrom p (x : UnitType p n N) j z ∧ glimpse p x j R ∧ thermal p x S R=v
33
+ let L (M : Atlas p r T) (x) := standard M ∧ ∃ z,∃ v∈ F M z,P M z v x
34
+ have he x : w x≠0 → s.atList S j R F x ∧ glimpse p x j R →
35
+ ∃ M,L M x := by
36
+ rintro hx ⟨hx',hy⟩
37
+ exact ⟨s.ix x,(h x hx).1,s.bag (s.ix x) j x, thermal p x S R,hx',
38
+ ((h x hx).2 j).1,hy,rfl⟩
39
+ have ht (M : Atlas p r T) : pr w (L M) ≤ bp (-0.2*N) := by
40
+ by_cases hu : standard M
41
+ · let x := cells M
42
+ have hb (z : Batch M N) :
43
+ pr w (fun y => ∃ v∈F M z,P M z v y) ≤ bp (0.51*k*N)*(H*heatRate p n N ε x k) := by
44
+ have ha v : pr w (P M z v) ≤ H*heatRate p n N ε x k := by
45
+ rw [← hq]; exact (pr_cap hg _).trans
46
+ (mul_le_mul_of_nonneg_left (heat_rate _ S hi R v z m he₀) hH)
47
+ refine (pr_union_le hw.nz (F M z) (P M z)).trans ((Finset.sum_le_sum fun v _ => ha v).trans ?_)
48
+ rw [Finset.sum_const,nsmul_eq_mul]
49
+ apply mul_le_mul_of_nonneg_right (hr M z)
50
+ unfold heatRate
51
+ exact mul_nonneg hH (mul_nonneg (bp_pos _).le (bp_pos _).le)
52
+ simp only [L,hu,true_and]
53
+ refine (pr_exists_le hw.nz (fun z y => ∃ v∈F M z,P M z v y)).trans
54
+ ((Finset.sum_le_sum (fun z _ => hb z)).trans ?_)
55
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,card_space]
56
+ rw [show dim (Batch M N)=x*N from tuple_dim.trans (Nat.mul_comm ..),
57
+ Nat.cast_mul, ← mul_assoc]
58
+ exact hZ x hu.2.1
59
+ simp only [L,hu,false_and,pr_false]
60
+ exact (bp_pos _).le
61
+ refine ((pr_on_mono hw.nz he).trans (pr_exists_le hw.nz L)).trans
62
+ ((Finset.sum_le_sum fun i _ => ht i).trans ?_)
63
+ rw [Finset.sum_const,nsmul_eq_mul]
64
+ apply (mul_le_mul_of_nonneg_right hT (bp_pos _).le).trans
65
+ rw [←bp_add]
66
+ apply bp_le; linarith [(Nat.cast_nonneg N : 0≤(N:ℝ))]
67
+
68
+ set_option maxHeartbeats 600000 in
69
+ theorem frequent_sparse {w : Wgt (UnitType p n N)} {Δ}
70
+ (hw : IsLaw w) (h : s.opened Δ w)
71
+ (S : Party) (j : Bool) (hi : S j=1)
72
+ (k d : ℕ) (hh : k ≤ d) (l : ℝ) (hl : 0< l)
73
+ (hC : ∀ C : Cov p N,cdim p C≤d → pr w (fun x => offsetCov (s.ix x) ≤ C) ≤ l)
74
+ (hb : ∀ A M Z,(↑(s.bids w S j A M Z).card:ℝ) ≤ bp (0.51*N))
75
+ (m : Mixer p n) {ε H L : ℝ} (hN : 2*num (Full p n)-N≤ -1)
76
+ (he : initCap p N m ε)
77
+ (hH : 0≤H) (hZ : quest p r k n N H ε)
78
+ (hg : ∀ x,w x≤H*pairW (raw m N) (raw m N) x)
79
+ (hL : 0 ≤ L) (hv : bySide p w m L)
80
+ (hT : num (Atlas p r T) ≤ bp (0.002*N))
81
+ (hk : glimpsesBill p k L+bp (-0.1*N)<l^(k+1)) :
82
+ pr (pairW w w) (fun x => s.frequent w S j (s.ix x.1) (s.ix x.2) x.2) ≤5*l := by
83
+ classical
84
+ by_contra! hr
85
+ obtain ⟨q,R,F,hq,hR,hF,hx⟩ := s.shooting hw S j k d hh l hl hr.le hC hb
86
+ have hp := s.probe_event hw h S j hi R F hq hF m he hH hZ hg hT
87
+ have hq' z : q z≤ k := hq ▸ Finset.single_le_sum (fun i _ => Nat.zero_le (q i))
88
+ (Finset.mem_univ z)
89
+ have hu := glimpse_failure m hL hv hw.sub j hN R k hR hq'
90
+ let T := fun (x : UnitType p n N) => glimpse p x j R
91
+ let V := s.atList S j R F
92
+ have hh' x : V x → ¬T x ∨ (V x ∧ T x) := fun h => by by_cases ht:T x <;> simp [ht,h]
93
+ exact not_lt_of_ge
94
+ (hx.trans ((pr_mono hw.nz hh').trans ((pr_or_le hw.nz).trans (add_le_add hu hp)))) hk
95
+
96
+ end Bazaar
97
+
98
+ end HadwigerCounterexample
99
+
100
+ end
101
+
102
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AdditionalProbeBounds.lean CHANGED
@@ -1,171 +1,171 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SingletonPhaseTests
2
-
3
- namespace OAI
4
-
5
- /-! # Additional Probe Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module Submodule Function Finset
10
- open scoped BigOperators
11
- variable {I J K : Type} [Fintype I] [Fintype J] [Fintype K]
12
-
13
- private def moreMatrix {r : ℕ} (A : Mat I (Fin r)) (v : Vec I) : Mat I (Fin (r+1)) :=
14
- Matrix.of (fun i => Fin.cons (v i) (A i))
15
-
16
- omit [Fintype I] in
17
- private theorem moreMatrix_act {r : ℕ} (A : Mat I (Fin r)) (v : Vec I)
18
- (x : Vec (Fin (r+1))) :
19
- moreMatrix A v *ᵥ x=x 0 • v + A *ᵥ (fun i => x i.succ) := by
20
- funext i; simp only [Matrix.mulVec,dotProduct,moreMatrix,Matrix.of_apply,
21
- Fin.sum_univ_succ,Pi.add_apply,Pi.smul_apply,smul_eq_mul,Fin.cons_zero,Fin.cons_succ]
22
- congr 1; exact mul_comm _ _
23
-
24
- omit [Fintype I] in
25
- private theorem moreMatrix_inj {r : ℕ} (A : Mat I (Fin r)) (v : Vec I)
26
- (ha : Injective A.mulVec) (h : v∉colSp A) :
27
- Injective (moreMatrix A v).mulVec := by
28
- rw [← Matrix.coe_mulVecLin,← LinearMap.ker_eq_bot, Matrix.ker_mulVecLin_eq_bot_iff]
29
- intro x hx
30
- rw [moreMatrix_act] at hx
31
- let b (i : Fin r) := x i.succ
32
- rcases bit_cases (x 0) with he|he
33
- · have hh : b=0 := by
34
- apply ha
35
- rw [he,zero_smul,zero_add] at hx
36
- exact hx.trans (Matrix.mulVec_zero _).symm
37
- funext i
38
- refine Fin.cases he (fun k => ?_) i
39
- exact congr_fun hh k
40
- · rw [he,one_smul] at hx
41
- have heq : v=A *ᵥ b := add_right_cancel (hx.trans (char_two _).symm)
42
- exact (h ⟨b,heq.symm⟩).elim
43
-
44
- omit [Fintype J] in
45
- private theorem moreMatrix_mul {r} (B : Mat J I) (A : Mat I (Fin r)) (v) :
46
- B*moreMatrix A v=moreMatrix (B*A) (B *ᵥ v) := by
47
- ext i j
48
- refine Fin.cases ?_ (fun j => ?_) j
49
- · rfl
50
- simp only [moreMatrix,Matrix.mul_apply,Matrix.of_apply,Fin.cons_succ]
51
-
52
- variable {p : Shape} {n N r : ℕ} {T : Cov p N}
53
- variable {q : Place p → ℕ}
54
-
55
- private def growFmt (q : Place p→ℕ) (z : Place p) := fun i =>
56
- q i+(if i=z then 1 else 0)
57
-
58
- private theorem grow_sum (q : Place p→ℕ) (z : Place p) :
59
- ctot p (growFmt (p:=p) q z)=ctot p q+1 := by simp [growFmt,ctot,Finset.sum_add_distrib]
60
-
61
- private def growing (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N)) :
62
- DTuple (p:=p) (growFmt (p:=p) q z) N := fun i => by
63
- change Mat (Fin N) (Fin (q i+ if i=z then 1 else 0))
64
- by_cases h : i=z
65
- · rw [ite_eq_left h]; exact moreMatrix (A i) v
66
- rw [ite_eq_right h]; exact A i
67
-
68
- private theorem castMat_inj {r n m : ℕ} (e : r=n)
69
- (A : Mat (Fin m) (Fin r)) (h : Injective A.mulVec) :
70
- Injective (cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) A).mulVec := by
71
- subst n
72
- exact h
73
- private theorem castMat_prod {r n m : ℕ} (e : r=n)
74
- (A : Mat (Fin m) (Fin r)) (B : Mat (Fin m) (Fin m)) :
75
- B*(cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) A) =
76
- cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) (B*A) := by
77
- subst n; rfl
78
-
79
- private theorem growth_inj (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N))
80
- (hv : v∉colSp (A z)) (h : ∀ i, Injective (A i).mulVec) :
81
- ∀ i,Injective (growing A z v i).mulVec := by
82
- intro i
83
- by_cases he : i=z
84
- · subst i
85
- simp [growing,growFmt]
86
- apply castMat_inj _ (moreMatrix (A z) v) (moreMatrix_inj (A z) v (h z) hv)
87
- simp
88
- simp [growing,growFmt,he]
89
- apply castMat_inj _ (A i) (h i)
90
- simp [he]
91
-
92
- private theorem growth_value (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N))
93
- (x : UnitType p n N) (S : Party) :
94
- thermal p x S (growing A z v)=growing (thermal p x S A) z (heat p x S z *ᵥ v) := by
95
- funext i
96
- by_cases he : i=z
97
- · subst i
98
- simp [thermal,growing,growFmt]
99
- rw [←moreMatrix_mul]
100
- apply castMat_prod
101
- simp
102
- simp [thermal,growing,growFmt,he]
103
- apply castMat_prod
104
- simp [he]
105
-
106
- theorem column_observe (A : DTuple (p:=p) q N) (z : Place p) (j : Fin (q z))
107
- (x : UnitType p n N) (S : Party) :
108
- heat p x S z *ᵥ (A z).col j=(thermal p x S A z).col j := rfl
109
-
110
- namespace Bazaar
111
- variable (s : Bazaar p n r T)
112
-
113
- abbrev Catalog (p : Shape) {N} (T : Cov p N) (r : ℕ) (q : Place p→ℕ) :=
114
- (M : Atlas p r T) → Batch M N → Finset (DTuple (p:=p) q N)
115
-
116
- def atList (s : Bazaar p n r T) (S : Party) (j : Bool)
117
- (A : DTuple (p:=p) q N) (F : Catalog p T r q) (x : UnitType p n N) :=
118
- let M := s.ix x
119
- thermal p x S A∈ F M (s.bag M j x)
120
-
121
- def probed (p : Shape) {N} {q : Place p→ℕ} (A : DTuple (p:=p) q N) : Cov p N :=
122
- fun z => colSp (A z)
123
-
124
- theorem extend_probe (w : Wgt (UnitType p n N)) (S : Party) (j : Bool) {k : ℕ}
125
- (A : DTuple (p:=p) q N) (hq : ctot p q=k)
126
- (h : ∀ i, Injective (A i).mulVec)
127
- (F : Catalog p T r q) (hF : ∀ M Z,(↑(F M Z).card:ℝ) ≤ bp (0.51*k*N))
128
- (G : Atlas p r T) (hg : ¬ offsetCov G ≤ probed p A)
129
- (hb : ∀ M Z,(↑(s.bids w S j G M Z).card:ℝ) ≤ bp (0.51*N)) :
130
- ∃ (q : Place p→ℕ) (A' : DTuple (p:=p) q N)
131
- (F' : Catalog p T r q), ctot p q=k+1 ∧
132
- (∀ i, Injective (A' i).mulVec) ∧
133
- (∀ M Z,(↑(F' M Z).card:ℝ) ≤ bp (0.51*(k+1)*N)) ∧
134
- ∀ x,s.atList S j A F x → s.frequent w S j G (s.ix x) x →
135
- s.atList S j A' F' x := by
136
- classical
137
- obtain ⟨z,i,hg⟩ :
138
- ∃ (z : Place p) (i : Fin (breadth G z)),(src G z).col i∉colSp (A z) := by
139
- by_contra! hh
140
- apply hg
141
- intro z
142
- change colSp (src G z) ≤ _
143
- rw [colSp,range_mulVecLin]
144
- exact Submodule.span_le.mpr (Set.range_subset_iff.mpr (hh z))
145
- let q' := growFmt (p:=p) q z
146
- let v := (src G z).col i
147
- let f (M Z) : Finset (DTuple (p:=p) q' N) :=
148
- ((F M Z) ×ˢ (s.bids w S j G M Z)).image
149
- (fun a => growing a.1 z ((a.2 z).col i))
150
- refine ⟨q',growing A z v, f,(grow_sum q z).trans (by rw [hq]),
151
- growth_inj A z v hg h,fun M Z => ?_,fun x hx hi => ?_⟩
152
- · have he := bp_pos (0.51*(k:ℝ)*N)
153
- have h1 :
154
- (↑(f M Z).card:ℝ) ≤ (↑(F M Z).card:ℝ)*(↑(s.bids w S j G M Z).card:ℝ) := by
155
- exact_mod_cast (show (f M Z).card ≤ _*_ from
156
- Finset.card_image_le.trans_eq (Finset.card_product ..))
157
- apply (h1.trans (mul_le_mul (hF M Z) (hb M Z) (Nat.cast_nonneg _) he.le)).trans_eq
158
- rw [←bp_add]; congr 1; ring
159
- · rw [atList,growth_value]
160
-
161
- refine Finset.mem_image.mpr ⟨(thermal p x S A,thermal p x S (src G)),?_,?_⟩
162
- · exact Finset.mem_product.mpr ⟨hx,(s.bids_mem ..).mp hi⟩
163
- · change growing _ _ _ = _
164
- rw [show heat p x S z *ᵥ v=_ from column_observe (src G) z i x S]
165
-
166
- end Bazaar
167
- end HadwigerCounterexample
168
-
169
- end
170
-
171
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SingletonPhaseTests
2
+
3
+ namespace OAI
4
+
5
+ /-! # Additional Probe Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module Submodule Function Finset
10
+ open scoped BigOperators
11
+ variable {I J K : Type} [Fintype I] [Fintype J] [Fintype K]
12
+
13
+ private def moreMatrix {r : ℕ} (A : Mat I (Fin r)) (v : Vec I) : Mat I (Fin (r+1)) :=
14
+ Matrix.of (fun i => Fin.cons (v i) (A i))
15
+
16
+ omit [Fintype I] in
17
+ private theorem moreMatrix_act {r : ℕ} (A : Mat I (Fin r)) (v : Vec I)
18
+ (x : Vec (Fin (r+1))) :
19
+ moreMatrix A v *ᵥ x=x 0 • v + A *ᵥ (fun i => x i.succ) := by
20
+ funext i; simp only [Matrix.mulVec,dotProduct,moreMatrix,Matrix.of_apply,
21
+ Fin.sum_univ_succ,Pi.add_apply,Pi.smul_apply,smul_eq_mul,Fin.cons_zero,Fin.cons_succ]
22
+ congr 1; exact mul_comm _ _
23
+
24
+ omit [Fintype I] in
25
+ private theorem moreMatrix_inj {r : ℕ} (A : Mat I (Fin r)) (v : Vec I)
26
+ (ha : Injective A.mulVec) (h : v∉colSp A) :
27
+ Injective (moreMatrix A v).mulVec := by
28
+ rw [← Matrix.coe_mulVecLin,← LinearMap.ker_eq_bot, Matrix.ker_mulVecLin_eq_bot_iff]
29
+ intro x hx
30
+ rw [moreMatrix_act] at hx
31
+ let b (i : Fin r) := x i.succ
32
+ rcases bit_cases (x 0) with he|he
33
+ · have hh : b=0 := by
34
+ apply ha
35
+ rw [he,zero_smul,zero_add] at hx
36
+ exact hx.trans (Matrix.mulVec_zero _).symm
37
+ funext i
38
+ refine Fin.cases he (fun k => ?_) i
39
+ exact congr_fun hh k
40
+ · rw [he,one_smul] at hx
41
+ have heq : v=A *ᵥ b := add_right_cancel (hx.trans (char_two _).symm)
42
+ exact (h ⟨b,heq.symm⟩).elim
43
+
44
+ omit [Fintype J] in
45
+ private theorem moreMatrix_mul {r} (B : Mat J I) (A : Mat I (Fin r)) (v) :
46
+ B*moreMatrix A v=moreMatrix (B*A) (B *ᵥ v) := by
47
+ ext i j
48
+ refine Fin.cases ?_ (fun j => ?_) j
49
+ · rfl
50
+ simp only [moreMatrix,Matrix.mul_apply,Matrix.of_apply,Fin.cons_succ]
51
+
52
+ variable {p : Shape} {n N r : ℕ} {T : Cov p N}
53
+ variable {q : Place p → ℕ}
54
+
55
+ private def growFmt (q : Place p→ℕ) (z : Place p) := fun i =>
56
+ q i+(if i=z then 1 else 0)
57
+
58
+ private theorem grow_sum (q : Place p→ℕ) (z : Place p) :
59
+ ctot p (growFmt (p:=p) q z)=ctot p q+1 := by simp [growFmt,ctot,Finset.sum_add_distrib]
60
+
61
+ private def growing (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N)) :
62
+ DTuple (p:=p) (growFmt (p:=p) q z) N := fun i => by
63
+ change Mat (Fin N) (Fin (q i+ if i=z then 1 else 0))
64
+ by_cases h : i=z
65
+ · rw [ite_eq_left h]; exact moreMatrix (A i) v
66
+ rw [ite_eq_right h]; exact A i
67
+
68
+ private theorem castMat_inj {r n m : ℕ} (e : r=n)
69
+ (A : Mat (Fin m) (Fin r)) (h : Injective A.mulVec) :
70
+ Injective (cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) A).mulVec := by
71
+ subst n
72
+ exact h
73
+ private theorem castMat_prod {r n m : ℕ} (e : r=n)
74
+ (A : Mat (Fin m) (Fin r)) (B : Mat (Fin m) (Fin m)) :
75
+ B*(cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) A) =
76
+ cast (show Mat (Fin m) (Fin r)=Mat (Fin m) (Fin n) from congrArg (fun t => Mat (Fin m) (Fin t)) e) (B*A) := by
77
+ subst n; rfl
78
+
79
+ private theorem growth_inj (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N))
80
+ (hv : v∉colSp (A z)) (h : ∀ i, Injective (A i).mulVec) :
81
+ ∀ i,Injective (growing A z v i).mulVec := by
82
+ intro i
83
+ by_cases he : i=z
84
+ · subst i
85
+ simp [growing,growFmt]
86
+ apply castMat_inj _ (moreMatrix (A z) v) (moreMatrix_inj (A z) v (h z) hv)
87
+ simp
88
+ simp [growing,growFmt,he]
89
+ apply castMat_inj _ (A i) (h i)
90
+ simp [he]
91
+
92
+ private theorem growth_value (A : DTuple (p:=p) q N) (z : Place p) (v : Vec (Fin N))
93
+ (x : UnitType p n N) (S : Party) :
94
+ thermal p x S (growing A z v)=growing (thermal p x S A) z (heat p x S z *ᵥ v) := by
95
+ funext i
96
+ by_cases he : i=z
97
+ · subst i
98
+ simp [thermal,growing,growFmt]
99
+ rw [←moreMatrix_mul]
100
+ apply castMat_prod
101
+ simp
102
+ simp [thermal,growing,growFmt,he]
103
+ apply castMat_prod
104
+ simp [he]
105
+
106
+ theorem column_observe (A : DTuple (p:=p) q N) (z : Place p) (j : Fin (q z))
107
+ (x : UnitType p n N) (S : Party) :
108
+ heat p x S z *ᵥ (A z).col j=(thermal p x S A z).col j := rfl
109
+
110
+ namespace Bazaar
111
+ variable (s : Bazaar p n r T)
112
+
113
+ abbrev Catalog (p : Shape) {N} (T : Cov p N) (r : ℕ) (q : Place p→ℕ) :=
114
+ (M : Atlas p r T) → Batch M N → Finset (DTuple (p:=p) q N)
115
+
116
+ def atList (s : Bazaar p n r T) (S : Party) (j : Bool)
117
+ (A : DTuple (p:=p) q N) (F : Catalog p T r q) (x : UnitType p n N) :=
118
+ let M := s.ix x
119
+ thermal p x S A∈ F M (s.bag M j x)
120
+
121
+ def probed (p : Shape) {N} {q : Place p→ℕ} (A : DTuple (p:=p) q N) : Cov p N :=
122
+ fun z => colSp (A z)
123
+
124
+ theorem extend_probe (w : Wgt (UnitType p n N)) (S : Party) (j : Bool) {k : ℕ}
125
+ (A : DTuple (p:=p) q N) (hq : ctot p q=k)
126
+ (h : ∀ i, Injective (A i).mulVec)
127
+ (F : Catalog p T r q) (hF : ∀ M Z,(↑(F M Z).card:ℝ) ≤ bp (0.51*k*N))
128
+ (G : Atlas p r T) (hg : ¬ offsetCov G ≤ probed p A)
129
+ (hb : ∀ M Z,(↑(s.bids w S j G M Z).card:ℝ) ≤ bp (0.51*N)) :
130
+ ∃ (q : Place p→ℕ) (A' : DTuple (p:=p) q N)
131
+ (F' : Catalog p T r q), ctot p q=k+1 ∧
132
+ (∀ i, Injective (A' i).mulVec) ∧
133
+ (∀ M Z,(↑(F' M Z).card:ℝ) ≤ bp (0.51*(k+1)*N)) ∧
134
+ ∀ x,s.atList S j A F x → s.frequent w S j G (s.ix x) x →
135
+ s.atList S j A' F' x := by
136
+ classical
137
+ obtain ⟨z,i,hg⟩ :
138
+ ∃ (z : Place p) (i : Fin (breadth G z)),(src G z).col i∉colSp (A z) := by
139
+ by_contra! hh
140
+ apply hg
141
+ intro z
142
+ change colSp (src G z) ≤ _
143
+ rw [colSp,range_mulVecLin]
144
+ exact Submodule.span_le.mpr (Set.range_subset_iff.mpr (hh z))
145
+ let q' := growFmt (p:=p) q z
146
+ let v := (src G z).col i
147
+ let f (M Z) : Finset (DTuple (p:=p) q' N) :=
148
+ ((F M Z) ×ˢ (s.bids w S j G M Z)).image
149
+ (fun a => growing a.1 z ((a.2 z).col i))
150
+ refine ⟨q',growing A z v, f,(grow_sum q z).trans (by rw [hq]),
151
+ growth_inj A z v hg h,fun M Z => ?_,fun x hx hi => ?_⟩
152
+ · have he := bp_pos (0.51*(k:ℝ)*N)
153
+ have h1 :
154
+ (↑(f M Z).card:ℝ) ≤ (↑(F M Z).card:ℝ)*(↑(s.bids w S j G M Z).card:ℝ) := by
155
+ exact_mod_cast (show (f M Z).card ≤ _*_ from
156
+ Finset.card_image_le.trans_eq (Finset.card_product ..))
157
+ apply (h1.trans (mul_le_mul (hF M Z) (hb M Z) (Nat.cast_nonneg _) he.le)).trans_eq
158
+ rw [←bp_add]; congr 1; ring
159
+ · rw [atList,growth_value]
160
+
161
+ refine Finset.mem_image.mpr ⟨(thermal p x S A,thermal p x S (src G)),?_,?_⟩
162
+ · exact Finset.mem_product.mpr ⟨hx,(s.bids_mem ..).mp hi⟩
163
+ · change growing _ _ _ = _
164
+ rw [show heat p x S z *ᵥ v=_ from column_observe (src G) z i x S]
165
+
166
+ end Bazaar
167
+ end HadwigerCounterexample
168
+
169
+ end
170
+
171
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AffineFrames.lean CHANGED
@@ -1,195 +1,195 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
2
- import OAI.Combinatorics.HadwigerCounterexample.SampledGraphs
3
- import Mathlib.Data.Matrix.ColumnRowPartitioned
4
-
5
- namespace OAI
6
-
7
- /-! # Affine Frames -/
8
-
9
- noncomputable section
10
- namespace HadwigerCounterexample
11
-
12
- open Matrix
13
- open scoped BigOperators
14
-
15
- structure Mixer (p : Shape) (n : ℕ) where
16
- mixL : Fin p.J → Comp p.g → Comp p.g → Moment p n
17
- mixR : Fin p.J → Comp p.g → Comp p.g → Moment p n
18
- mixM : Fin p.b → Mat (Fin n) (Fin n)
19
-
20
- abbrev Pdual (p : Shape) (n : ℕ) := Profile p n →ₗ[F] F
21
-
22
- def linTensor {V : Type} [AddCommGroup V] [Module F V] (a b : V →ₗ[F] F) : V →ₗ[F] V →ₗ[F] F :=
23
- a.smulRight b
24
-
25
- theorem linTensor_val {V : Type} [AddCommGroup V] [Module F V] (a b : V →ₗ[F] F)
26
- (x y : V) : linTensor a b x y = a x * b y := rfl
27
-
28
- variable {p : Shape} {n N : ℕ}
29
-
30
- def T0 (p : Shape) (n : ℕ) : Profile p n →ₗ[F] Pdual p n :=
31
- linTensor (role p n) (role p n) +
32
- ∑ i : Tag p.g, (linTensor (roleT p n i) (sharedT p n i) +
33
- linTensor (sharedT p n i) (roleT p n i))
34
-
35
- theorem T0_val (x y : Profile p n) : T0 p n x y =
36
- role p n x * role p n y +
37
- ∑ i : Tag p.g, (roleT p n i x * sharedT p n i y + sharedT p n i x * roleT p n i y) := by
38
- simp only [T0,LinearMap.add_apply,LinearMap.sum_apply,linTensor_val]
39
-
40
- def B1 (m : Mixer p n) : Profile p n →ₗ[F] Pdual p n where
41
- toFun x := {
42
- toFun := fun y => ∑ j, ∑ e, ∑ f,
43
- mpair (x e) (liftM (m.mixL j e f) (m.mixR j e f) (y f))
44
- map_add' y z := by simp only [Pi.add_apply,map_add, Finset.sum_add_distrib]
45
- map_smul' b y := by simp only [Pi.smul_apply,map_smul,RingHom.id_apply,smul_eq_mul,
46
- Finset.mul_sum] }
47
- map_add' x y := LinearMap.ext fun z => by
48
- simp only [LinearMap.coe_mk,AddHom.coe_mk,LinearMap.add_apply,
49
- Pi.add_apply,mpair_add, Finset.sum_add_distrib]
50
- map_smul' b x := LinearMap.ext fun z => by
51
- simp only [LinearMap.coe_mk,AddHom.coe_mk,LinearMap.smul_apply,RingHom.id_apply,
52
- Pi.smul_apply,mpair_smul,smul_eq_mul, Finset.mul_sum]
53
-
54
- def Tmix (m : Mixer p n) := B1 m + LinearMap.flip (B1 m)
55
- def Tsym (m : Mixer p n) := T0 p n + Tmix m
56
-
57
- theorem Tsym_val (m : Mixer p n) (x y : Profile p n) :
58
- Tsym m x y = T0 p n x y + (B1 m x y + B1 m y x) := by
59
- change (T0 p n + (B1 m + _)) x y = _
60
- simp
61
-
62
- theorem T_swap (m : Mixer p n) (x y : Profile p n) : Tsym m x y = Tsym m y x := by
63
- simp only [Tsym_val,T0_val]
64
- refine congrArg₂ (· + ·) (congrArg₂ (· + ·) (mul_comm _ _)
65
- (Finset.sum_congr rfl fun i _ => ?_)) (add_comm _ _)
66
- rw [mul_comm (roleT p n i x),mul_comm (sharedT p n i x),add_comm]
67
-
68
- theorem T_diag (m : Mixer p n) (x : Profile p n) : Tsym m x x = role p n x := by
69
- have h (a b : F) : a*b+b*a=0 := by rw [mul_comm b a,char_two]
70
- simp only [Tsym_val,T0_val,char_two,h,Finset.sum_const_zero,add_zero,bit_sq]
71
-
72
- def grad (m : Mixer p n) (x : Profile p n) := role p n + Tsym m x
73
- theorem grad_val (m : Mixer p n) (x y : Profile p n) :
74
- grad m x y = role p n y + Tsym m x y := rfl
75
-
76
- abbrev Full (p : Shape) (n : ℕ) := Row p n ⊕ Fin p.h
77
- abbrev RawFrame (I J : Type) := Mat J I × Mat J I
78
- abbrev Oframe (p : Shape) (n N : ℕ) := RawFrame (Full p n) (Fin N)
79
- abbrev Orient (p : Shape) (n N : ℕ) := Comp p.g → Oframe p n N
80
-
81
- def primary {I J E : Type} (M : Mat E (I ⊕ J)) : Mat E I := M.submatrix id Sum.inl
82
- def channel {I J E : Type} (M : Mat E (I ⊕ J)) : Mat E J := M.submatrix id Sum.inr
83
-
84
- theorem fromCols_frame {I J E : Type} (M : Mat E (I ⊕ J)) :
85
- fromCols (primary M) (channel M) = M := by ext i j; rcases j with i|j <;> rfl
86
-
87
- theorem primary_inj {I J E : Type} [Fintype I] [Fintype J]
88
- {M : Mat E (I ⊕ J)} (h : Function.Injective M.mulVec) :
89
- Function.Injective (primary M).mulVec := by
90
- intro a b hab
91
- let v (x : Vec I) := Sum.elim x (fun _ : J => (0:F))
92
- have he (x : Vec I) : M *ᵥ v x = primary M *ᵥ x := by
93
- conv_lhs => rw [← fromCols_frame M]
94
- unfold v; rw [fromCols_mulVec_sumElim]
95
- change _ + (channel M *ᵥ 0) = _
96
- rw [Matrix.mulVec_zero,add_zero]
97
- have hh : v a = v b := h (by rw [he,he]; exact hab)
98
- exact funext fun i => congr_fun hh (.inl i)
99
-
100
- def valid (M : Moment p n) (o : Oframe p n N) : Prop :=
101
- Function.Injective o.1.mulVec ∧ Function.Injective o.2.mulVec ∧
102
- (primary o.1)ᵀ * primary o.2 = M ∧ (channel o.1)ᵀ * primary o.2 = 0 ∧
103
- (primary o.1)ᵀ * channel o.2 = 0
104
-
105
- def frameLaw (m : Mixer p n) (o : Orient p n N) :=
106
- ∀ e, valid (selfM p n m.mixM) (o e)
107
-
108
- abbrev Ambient (p : Shape) (N : ℕ) := Comp p.g → Mat (Fin N) (Fin N)
109
-
110
- def Uembed (o : Orient p n N) : Profile p n →ₗ[F] Ambient p N where
111
- toFun x e := liftM (primary (o e).1) (primary (o e).2) (x e)
112
- map_add' x y := by funext e; simp only [Pi.add_apply,map_add]
113
- map_smul' a x := by funext e; simp only [Pi.smul_apply,map_smul,RingHom.id_apply]
114
-
115
- def ufun (o : Orient p n N) : Ambient p N →ₗ[F] F where
116
- toFun x := ∑ e, mpair (channel (o e).2 * (channel (o e).1)ᵀ) (x e)
117
- map_add' x y := by simp only [Pi.add_apply,map_add, Finset.sum_add_distrib]
118
- map_smul' a x := by simp only [Pi.smul_apply,map_smul,RingHom.id_apply,
119
- smul_eq_mul,Finset.mul_sum]
120
-
121
- theorem Uembed_inj {m : Mixer p n} {o : Orient p n N} (h : frameLaw m o) :
122
- Function.Injective (Uembed o) := by
123
- intro x y e
124
- exact funext fun i =>
125
- liftM_inj (primary_inj (h i).1) (primary_inj (h i).2.1) (congr_fun e i)
126
-
127
- theorem ufun_self {m : Mixer p n} {o : Orient p n N} (h : frameLaw m o) (x : Profile p n) :
128
- ufun o (Uembed o x) = 0 := by
129
- simp only [ufun,Uembed,LinearMap.coe_mk,AddHom.coe_mk]
130
- refine Finset.sum_eq_zero fun i _ => ?_
131
- rw [mpair_liftM,liftM_def,← Matrix.mul_assoc,(h i).2.2.2.2,Matrix.zero_mul,
132
- Matrix.zero_mul,mpair_comm,map_zero]
133
-
134
- /-- Witnesses v,w are in the cut-profile space. The gradients agree over that
135
- *whole* space. -/
136
- def hole (m : Mixer p n) (x y : Orient p n N) :=
137
- frameLaw m x ∧ frameLaw m y ∧ ∃ v w : Profile p n,
138
- v ∈ Xspace p n ∧ w ∈ Xspace p n ∧
139
- Uembed x v = Uembed y w ∧
140
- (∀ i ∈ Xspace p n, ufun y (Uembed x i) = grad m v i) ∧
141
- (∀ i ∈ Xspace p n, ufun x (Uembed y i) = grad m w i) ∧
142
- role p n v + role p n w = 1
143
-
144
- theorem hole_sym {m : Mixer p n} {x y : Orient p n N} (h : hole m x y) : hole m y x := by
145
- obtain ⟨hx,hy,v,w,hv,hw,e,h,g,p⟩ := h
146
- exact ⟨hy,hx,w,v,hw,hv,e.symm,g,h,(add_comm _ _).trans p⟩
147
-
148
- theorem not_hole_self (m : Mixer p n) (x : Orient p n N) : ¬hole m x x := by
149
- rintro ⟨hx,_,v,w,_,_,e,_,_,hp⟩
150
- rw [Uembed_inj hx e,char_two] at hp
151
- exact zero_ne_one hp
152
-
153
- theorem hole_triangle {m : Mixer p n} {x y z : Orient p n N}
154
- (h1 : hole m x y) (h2 : hole m y z) : ¬ hole m x z := by
155
- intro h3
156
- obtain ⟨_,_,a,b,ha,hb,hab,u1,u2,p1⟩ := h1
157
- obtain ⟨_,_,c,d,hc,hd,hcd,u3,u4,p2⟩ := h2
158
- obtain ⟨_,_,e,f,he,hf,hef,u5,u6,p3⟩ := h3
159
- have hx : grad m b c = grad m f d := by rw [←u2 _ hc, ←u6 _ hd,hcd]
160
- have hy : grad m a e = grad m d f := by rw [←u1 _ he, ←u4 _ hf,hef]
161
- have hz : grad m e a = grad m c b := by rw [←u5 _ ha, ←u3 _ hb,hab]
162
- simp only [grad_val] at hx hy hz
163
- let A := role p n
164
- have hw (x y : F) (h : x=y) : x+y=0 := by rw [h,char_two]
165
- have hp : (A a+A b)+(A c+A d)+(A e+A f)=0 := by
166
- let H := Tsym m
167
- change A _ + H _ _ = A _ + H _ _ at hx hy hz
168
- calc (A a+A b)+(A c+A d)+(A e+A f)
169
- _ = ((A c+H b c)+(A d+H f d)) +
170
- ((A e+H a e)+(A f+H d f)) +
171
- ((A a+H e a)+(A b+H c b)) := by
172
- have h (x y) : H x y+H y x=0 := hw _ _ (T_swap m _ _)
173
- symm
174
- calc ((A c+H b c)+(A d+H f d)) +
175
- ((A e+H a e)+(A f+H d f)) +
176
- ((A a+H e a)+(A b+H c b))
177
- _ = ((A a+A b)+(A c+A d)+(A e+A f)) + (H b c+H c b) +
178
- (H f d+H d f)+(H a e+H e a) := by ac_rfl
179
- _ = _ := by simp only [h,add_zero]
180
- _ = 0 := by rw [hw _ _ hx, hw _ _ hy, hw _ _ hz]; simp
181
- unfold A at hp
182
- rw [p1,p2,p3,char_two,zero_add] at hp
183
- exact one_ne_zero hp
184
-
185
- def rawHoles (m : Mixer p n) : Holes (Orient p n N) where
186
- rel := hole m
187
- sym := hole_sym
188
- irr := not_hole_self m
189
- ntri := hole_triangle
190
-
191
- end HadwigerCounterexample
192
-
193
- end
194
-
195
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
2
+ import OAI.Combinatorics.HadwigerCounterexample.SampledGraphs
3
+ import Mathlib.Data.Matrix.ColumnRowPartitioned
4
+
5
+ namespace OAI
6
+
7
+ /-! # Affine Frames -/
8
+
9
+ noncomputable section
10
+ namespace HadwigerCounterexample
11
+
12
+ open Matrix
13
+ open scoped BigOperators
14
+
15
+ structure Mixer (p : Shape) (n : ℕ) where
16
+ mixL : Fin p.J → Comp p.g → Comp p.g → Moment p n
17
+ mixR : Fin p.J → Comp p.g → Comp p.g → Moment p n
18
+ mixM : Fin p.b → Mat (Fin n) (Fin n)
19
+
20
+ abbrev Pdual (p : Shape) (n : ℕ) := Profile p n →ₗ[F] F
21
+
22
+ def linTensor {V : Type} [AddCommGroup V] [Module F V] (a b : V →ₗ[F] F) : V →ₗ[F] V →ₗ[F] F :=
23
+ a.smulRight b
24
+
25
+ theorem linTensor_val {V : Type} [AddCommGroup V] [Module F V] (a b : V →ₗ[F] F)
26
+ (x y : V) : linTensor a b x y = a x * b y := rfl
27
+
28
+ variable {p : Shape} {n N : ℕ}
29
+
30
+ def T0 (p : Shape) (n : ℕ) : Profile p n →ₗ[F] Pdual p n :=
31
+ linTensor (role p n) (role p n) +
32
+ ∑ i : Tag p.g, (linTensor (roleT p n i) (sharedT p n i) +
33
+ linTensor (sharedT p n i) (roleT p n i))
34
+
35
+ theorem T0_val (x y : Profile p n) : T0 p n x y =
36
+ role p n x * role p n y +
37
+ ∑ i : Tag p.g, (roleT p n i x * sharedT p n i y + sharedT p n i x * roleT p n i y) := by
38
+ simp only [T0,LinearMap.add_apply,LinearMap.sum_apply,linTensor_val]
39
+
40
+ def B1 (m : Mixer p n) : Profile p n →ₗ[F] Pdual p n where
41
+ toFun x := {
42
+ toFun := fun y => ∑ j, ∑ e, ∑ f,
43
+ mpair (x e) (liftM (m.mixL j e f) (m.mixR j e f) (y f))
44
+ map_add' y z := by simp only [Pi.add_apply,map_add, Finset.sum_add_distrib]
45
+ map_smul' b y := by simp only [Pi.smul_apply,map_smul,RingHom.id_apply,smul_eq_mul,
46
+ Finset.mul_sum] }
47
+ map_add' x y := LinearMap.ext fun z => by
48
+ simp only [LinearMap.coe_mk,AddHom.coe_mk,LinearMap.add_apply,
49
+ Pi.add_apply,mpair_add, Finset.sum_add_distrib]
50
+ map_smul' b x := LinearMap.ext fun z => by
51
+ simp only [LinearMap.coe_mk,AddHom.coe_mk,LinearMap.smul_apply,RingHom.id_apply,
52
+ Pi.smul_apply,mpair_smul,smul_eq_mul, Finset.mul_sum]
53
+
54
+ def Tmix (m : Mixer p n) := B1 m + LinearMap.flip (B1 m)
55
+ def Tsym (m : Mixer p n) := T0 p n + Tmix m
56
+
57
+ theorem Tsym_val (m : Mixer p n) (x y : Profile p n) :
58
+ Tsym m x y = T0 p n x y + (B1 m x y + B1 m y x) := by
59
+ change (T0 p n + (B1 m + _)) x y = _
60
+ simp
61
+
62
+ theorem T_swap (m : Mixer p n) (x y : Profile p n) : Tsym m x y = Tsym m y x := by
63
+ simp only [Tsym_val,T0_val]
64
+ refine congrArg₂ (· + ·) (congrArg₂ (· + ·) (mul_comm _ _)
65
+ (Finset.sum_congr rfl fun i _ => ?_)) (add_comm _ _)
66
+ rw [mul_comm (roleT p n i x),mul_comm (sharedT p n i x),add_comm]
67
+
68
+ theorem T_diag (m : Mixer p n) (x : Profile p n) : Tsym m x x = role p n x := by
69
+ have h (a b : F) : a*b+b*a=0 := by rw [mul_comm b a,char_two]
70
+ simp only [Tsym_val,T0_val,char_two,h,Finset.sum_const_zero,add_zero,bit_sq]
71
+
72
+ def grad (m : Mixer p n) (x : Profile p n) := role p n + Tsym m x
73
+ theorem grad_val (m : Mixer p n) (x y : Profile p n) :
74
+ grad m x y = role p n y + Tsym m x y := rfl
75
+
76
+ abbrev Full (p : Shape) (n : ℕ) := Row p n ⊕ Fin p.h
77
+ abbrev RawFrame (I J : Type) := Mat J I × Mat J I
78
+ abbrev Oframe (p : Shape) (n N : ℕ) := RawFrame (Full p n) (Fin N)
79
+ abbrev Orient (p : Shape) (n N : ℕ) := Comp p.g → Oframe p n N
80
+
81
+ def primary {I J E : Type} (M : Mat E (I ⊕ J)) : Mat E I := M.submatrix id Sum.inl
82
+ def channel {I J E : Type} (M : Mat E (I ⊕ J)) : Mat E J := M.submatrix id Sum.inr
83
+
84
+ theorem fromCols_frame {I J E : Type} (M : Mat E (I ⊕ J)) :
85
+ fromCols (primary M) (channel M) = M := by ext i j; rcases j with i|j <;> rfl
86
+
87
+ theorem primary_inj {I J E : Type} [Fintype I] [Fintype J]
88
+ {M : Mat E (I ⊕ J)} (h : Function.Injective M.mulVec) :
89
+ Function.Injective (primary M).mulVec := by
90
+ intro a b hab
91
+ let v (x : Vec I) := Sum.elim x (fun _ : J => (0:F))
92
+ have he (x : Vec I) : M *ᵥ v x = primary M *ᵥ x := by
93
+ conv_lhs => rw [← fromCols_frame M]
94
+ unfold v; rw [fromCols_mulVec_sumElim]
95
+ change _ + (channel M *ᵥ 0) = _
96
+ rw [Matrix.mulVec_zero,add_zero]
97
+ have hh : v a = v b := h (by rw [he,he]; exact hab)
98
+ exact funext fun i => congr_fun hh (.inl i)
99
+
100
+ def valid (M : Moment p n) (o : Oframe p n N) : Prop :=
101
+ Function.Injective o.1.mulVec ∧ Function.Injective o.2.mulVec ∧
102
+ (primary o.1)ᵀ * primary o.2 = M ∧ (channel o.1)ᵀ * primary o.2 = 0 ∧
103
+ (primary o.1)ᵀ * channel o.2 = 0
104
+
105
+ def frameLaw (m : Mixer p n) (o : Orient p n N) :=
106
+ ∀ e, valid (selfM p n m.mixM) (o e)
107
+
108
+ abbrev Ambient (p : Shape) (N : ℕ) := Comp p.g → Mat (Fin N) (Fin N)
109
+
110
+ def Uembed (o : Orient p n N) : Profile p n →ₗ[F] Ambient p N where
111
+ toFun x e := liftM (primary (o e).1) (primary (o e).2) (x e)
112
+ map_add' x y := by funext e; simp only [Pi.add_apply,map_add]
113
+ map_smul' a x := by funext e; simp only [Pi.smul_apply,map_smul,RingHom.id_apply]
114
+
115
+ def ufun (o : Orient p n N) : Ambient p N →ₗ[F] F where
116
+ toFun x := ∑ e, mpair (channel (o e).2 * (channel (o e).1)ᵀ) (x e)
117
+ map_add' x y := by simp only [Pi.add_apply,map_add, Finset.sum_add_distrib]
118
+ map_smul' a x := by simp only [Pi.smul_apply,map_smul,RingHom.id_apply,
119
+ smul_eq_mul,Finset.mul_sum]
120
+
121
+ theorem Uembed_inj {m : Mixer p n} {o : Orient p n N} (h : frameLaw m o) :
122
+ Function.Injective (Uembed o) := by
123
+ intro x y e
124
+ exact funext fun i =>
125
+ liftM_inj (primary_inj (h i).1) (primary_inj (h i).2.1) (congr_fun e i)
126
+
127
+ theorem ufun_self {m : Mixer p n} {o : Orient p n N} (h : frameLaw m o) (x : Profile p n) :
128
+ ufun o (Uembed o x) = 0 := by
129
+ simp only [ufun,Uembed,LinearMap.coe_mk,AddHom.coe_mk]
130
+ refine Finset.sum_eq_zero fun i _ => ?_
131
+ rw [mpair_liftM,liftM_def,← Matrix.mul_assoc,(h i).2.2.2.2,Matrix.zero_mul,
132
+ Matrix.zero_mul,mpair_comm,map_zero]
133
+
134
+ /-- Witnesses v,w are in the cut-profile space. The gradients agree over that
135
+ *whole* space. -/
136
+ def hole (m : Mixer p n) (x y : Orient p n N) :=
137
+ frameLaw m x ∧ frameLaw m y ∧ ∃ v w : Profile p n,
138
+ v ∈ Xspace p n ∧ w ∈ Xspace p n ∧
139
+ Uembed x v = Uembed y w ∧
140
+ (∀ i ∈ Xspace p n, ufun y (Uembed x i) = grad m v i) ∧
141
+ (∀ i ∈ Xspace p n, ufun x (Uembed y i) = grad m w i) ∧
142
+ role p n v + role p n w = 1
143
+
144
+ theorem hole_sym {m : Mixer p n} {x y : Orient p n N} (h : hole m x y) : hole m y x := by
145
+ obtain ⟨hx,hy,v,w,hv,hw,e,h,g,p⟩ := h
146
+ exact ⟨hy,hx,w,v,hw,hv,e.symm,g,h,(add_comm _ _).trans p⟩
147
+
148
+ theorem not_hole_self (m : Mixer p n) (x : Orient p n N) : ¬hole m x x := by
149
+ rintro ⟨hx,_,v,w,_,_,e,_,_,hp⟩
150
+ rw [Uembed_inj hx e,char_two] at hp
151
+ exact zero_ne_one hp
152
+
153
+ theorem hole_triangle {m : Mixer p n} {x y z : Orient p n N}
154
+ (h1 : hole m x y) (h2 : hole m y z) : ¬ hole m x z := by
155
+ intro h3
156
+ obtain ⟨_,_,a,b,ha,hb,hab,u1,u2,p1⟩ := h1
157
+ obtain ⟨_,_,c,d,hc,hd,hcd,u3,u4,p2⟩ := h2
158
+ obtain ⟨_,_,e,f,he,hf,hef,u5,u6,p3⟩ := h3
159
+ have hx : grad m b c = grad m f d := by rw [←u2 _ hc, ←u6 _ hd,hcd]
160
+ have hy : grad m a e = grad m d f := by rw [←u1 _ he, ←u4 _ hf,hef]
161
+ have hz : grad m e a = grad m c b := by rw [←u5 _ ha, ←u3 _ hb,hab]
162
+ simp only [grad_val] at hx hy hz
163
+ let A := role p n
164
+ have hw (x y : F) (h : x=y) : x+y=0 := by rw [h,char_two]
165
+ have hp : (A a+A b)+(A c+A d)+(A e+A f)=0 := by
166
+ let H := Tsym m
167
+ change A _ + H _ _ = A _ + H _ _ at hx hy hz
168
+ calc (A a+A b)+(A c+A d)+(A e+A f)
169
+ _ = ((A c+H b c)+(A d+H f d)) +
170
+ ((A e+H a e)+(A f+H d f)) +
171
+ ((A a+H e a)+(A b+H c b)) := by
172
+ have h (x y) : H x y+H y x=0 := hw _ _ (T_swap m _ _)
173
+ symm
174
+ calc ((A c+H b c)+(A d+H f d)) +
175
+ ((A e+H a e)+(A f+H d f)) +
176
+ ((A a+H e a)+(A b+H c b))
177
+ _ = ((A a+A b)+(A c+A d)+(A e+A f)) + (H b c+H c b) +
178
+ (H f d+H d f)+(H a e+H e a) := by ac_rfl
179
+ _ = _ := by simp only [h,add_zero]
180
+ _ = 0 := by rw [hw _ _ hx, hw _ _ hy, hw _ _ hz]; simp
181
+ unfold A at hp
182
+ rw [p1,p2,p3,char_two,zero_add] at hp
183
+ exact one_ne_zero hp
184
+
185
+ def rawHoles (m : Mixer p n) : Holes (Orient p n N) where
186
+ rel := hole m
187
+ sym := hole_sym
188
+ irr := not_hole_self m
189
+ ntri := hole_triangle
190
+
191
+ end HadwigerCounterexample
192
+
193
+ end
194
+
195
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AggregateCostBounds.lean CHANGED
@@ -1,124 +1,124 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PositiveTestMass
2
-
3
- namespace OAI
4
-
5
- /-! # Aggregate Cost Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Filter Function
10
- open scoped BigOperators Topology
11
- open Template
12
- variable {p:Shape} {n N r M s0 K:ℕ}
13
- namespace StatusAnalysis
14
- open PreparationParameters Station DualAnalysis
15
-
16
- theorem couplings {I A : Type} [Fintype I] [Fintype A] (p:Wgt I)(f:I→ Wgt A)
17
- (F:(I×A)×(I×A)→ℝ):
18
- avg (pairW (semi p f) (semi p f)) F=
19
- avg (pairW p p) (fun i=>avg (pairW (f i.1) (f i.2)) (fun a=>F ((i.1,a.1),(i.2,a.2)))) := by
20
- rw [pairW_avg,pairW_avg]
21
- simp_rw [semi_avg,pairW_avg]
22
- refine avg_congr (fun i _=>?_); exact avg_avg ..
23
-
24
- theorem ship_cost (w:LeafMixture p n N)(U:Wgt (UnitType p n N))(m:Mixer p n)
25
- (v:Station p n N K w) (i:Scrip p K) (Y:Silhouette p N r) :
26
- avg (cirque w U) (fun x=>v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2))
27
- = v.stratum i.2.2 m U i.2.1 Y := couplings (portionW U w.T) (fun i=>partW U i.val) _
28
-
29
- theorem ship_pos (w:LeafMixture p n N) (m:Mixer p n)
30
- (v:Station p n N K w) (i:Scrip p K) (Y:Silhouette p N r)
31
- (h:i.2.2.permission)(hp:1≤p.r)(hn:2*p.r≤n)
32
- (x:ViewPair p n N w):
33
- 0≤ v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2) := by
34
- classical
35
- let a:=i.2.2
36
- have hA j:= Appearance.witLaw (a.qA.allure_apt a.t a.z h.2.1 j) hp hn
37
- have hB j:= Appearance.witLaw (a.qB.allure_apt a.t a.z h.2.2.1 j) hp hn
38
- let s:= v.cAxes x.1.1 (toRates i.1.2.1)
39
- let t:= v.cAxes x.2.1 (toRates i.1.2.2)
40
- have hc (j) : 0≤ a.chimera x.1.2 x.2.2 s t m Y j := avg_nonneg (unifOn_sub _).nz
41
- (fun k=> mul_nonneg (a.qA.seraphFloor a.t a.z x.1.2 m s Y j (hA j) k).1
42
- (a.qB.seraphFloor a.t a.z x.2.2 m t Y j (hB j) k).1)
43
- have hM : 0≤a.momus:= mul_nonneg (kappa_pos _).le (kappa_pos _).le
44
- exact mul_nonneg (ind_nonneg _) (mul_nonneg hM (Finset.prod_nonneg fun i _=>hc i))
45
-
46
- theorem prognosis (w:LeafMixture p n N) (U: Wgt (UnitType p n N)) (m:Mixer p n)
47
- (b:PreparationParameters) (v:Station p n N b.pins w) (Y:Silhouette p N r)
48
- {ε a : ℝ} (he:0 ≤ ε)(ha:0<a) (hp:1≤p.r)(hn:2*p.r≤n)
49
- (hs:Lead U w m b)
50
- (h:∀ i:Scrip p b.pins,i.2.2.permission→v.stratum i.2.2 m U i.2.1 Y ≤ ε):
51
- pr (cirque w U) (fun x=> eligiblePair v m x.1 x.2 Y a)≤ num (Scrip p b.pins)*(ε/a) := by
52
- classical
53
- let J:= Scrip p b.pins; let I:=ViewPair p n N w; let V:=cirque w U
54
- let Q (i:J)(x:I):= v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2)
55
- have ht:= (troupe_bill hs).1; have hv:IsLaw V:=pairW_law ht ht
56
- let P (i:J)(x:I):= i.2.2.permission∧ a ≤ Q i x
57
- have hF (i:J): pr V (P i)≤ ε/a := by
58
- by_cases ht:i.2.2.permission
59
- · simp only [P,ht,true_and]
60
- refine (le_div_iff₀ ha).mpr ?_
61
- rw [mul_comm]
62
- exact ((le_avg_markov hv.nz (ship_pos w m v i Y ht hp hn) a).trans_eq (ship_cost ..)).trans
63
- (h i ht)
64
- rw [show P i=(fun _=>False) from funext fun a=>eq_false fun hh=>ht hh.1,pr_false]; exact div_nonneg he ha.le
65
- change pr V (fun x=>∃ i,P i x)≤ _
66
- exact ((pr_exists_le hv.nz P).trans (Finset.sum_le_sum fun i _=> hF i)).trans_eq (by simp [J,num])
67
-
68
- structure Beams (b:PreparationParameters) (m:Mixer p n) (Y:Silhouette p N r)
69
- (w:LeafMixture p n N)(U:Wgt (UnitType p n N)) (v:Station p n N b.pins w)
70
- (a ε δ τ :ℝ):Prop where
71
- soft : origami p r (wisp p Y) δ
72
- rare : pr (w.sap U) (fun i=>¬gauze p δ δ Y m b.pins i) ≤ τ
73
- zone : pr (cirque w U) (fun x=> eligiblePair v m x.1 x.2 Y a) ≤ τ
74
- haze : 0<δ∧ δ≤ ε
75
-
76
- variable {l:Filter ℕ} {m:cycleM p} {U:tale p M} {w:rhythms p M} {b:PreparationParameters}
77
- set_option maxHeartbeats 1400000 in
78
- theorem lightmap (v:Stations p M b.pins w) (h:veil p M b s0 l m w U)
79
- (a ε τ:ℝ) (ha:0<a)(he:0<ε)(hτ:0<τ)
80
- (k:ℕ)(Y:∀ n,Silhouette p (M*n) k):
81
- ∃ (r:ℕ) (δ:ℝ), ∀ᶠ n in l,
82
- ∃ X:Silhouette p (M*n) r,refines X (Y n)∧
83
- Beams b (m n) X (w n) (U n) (v n) a ε δ τ := by
84
- classical
85
- let L:= num (Scrip p b.pins); have hL:0≤L:=Nat.cast_nonneg _
86
- let η := a*τ/(L+1)
87
- have hη:0<η:=by unfold η; positivity
88
- let u:= min τ (min ε (1/4))
89
- have hu :0<u:=lt_min hτ (lt_min he (by norm_num))
90
- obtain ⟨r,δ,hd,hV,hT⟩:= lateSilk v h η u hη hu k
91
- refine ⟨r,δ,?_⟩; have he:= h.easel.enter.first
92
- filter_upwards [h.upright,hT,h.moment,h.durableS.shape,h.durableS.mass.positive,
93
- (trend_sizes l h.timeL he.hM).2.eventually (eventually_ge_atTop (2*num (Toast p)+1))]
94
- with n hn ht hp hC hP hN
95
- obtain ⟨X,hX,hW,hY⟩:=ht (Y n)
96
- let N:=M*n
97
- refine ⟨X,hX, ?_,hW.trans (min_le_left ..),?_, hd,?_⟩
98
- · have h0 i j:IsLaw (wisp p X i j):=
99
- mapW_law (omegaLaw p i j (show 2*num (Toast p)-(N:ℝ)≤-1 by
100
- change _≤(N:ℝ) at hN
101
- linarith only [hN])) _
102
- refine ⟨h0,fun i j=>?_⟩
103
- let ν:=wisp p X i j
104
- have hs : pr ν (fun i=>¬δ≤ν i) = 1-pr ν (fun i=>δ≤ν i) :=by rw [pr_not,(show tot ν=1
105
- from (h0 i j).total)]
106
- have hi:u≤1/4:=le_trans (min_le_right ..) (min_le_right ..)
107
- simp_rw [not_le] at hs
108
- have hf:= haze_small ν δ hd.le
109
- linarith only [hf,hs,hV,hi,hd]
110
- · apply (prognosis (w n) (U n) (m n) b (v n) X hη.le ha he.hR hn.age
111
- ⟨hC.1,hP,hp.1.law,hC.2⟩ hY).trans
112
- change L*(η/a)≤τ
113
- have h : η/a= τ/(L+1) := by unfold η; field_simp
114
- rw [h,mul_div_assoc',div_le_iff₀ (by linarith)]
115
- linarith only [hτ]
116
- have hi:u≤ε:=le_trans (min_le_right ..) (min_le_left ..)
117
- nlinarith only [hi,hV,hd,Nat.cast_nonneg (α:=ℝ) r]
118
-
119
- end StatusAnalysis
120
- end HadwigerCounterexample
121
-
122
- end
123
-
124
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PositiveTestMass
2
+
3
+ namespace OAI
4
+
5
+ /-! # Aggregate Cost Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Filter Function
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ variable {p:Shape} {n N r M s0 K:ℕ}
13
+ namespace StatusAnalysis
14
+ open PreparationParameters Station DualAnalysis
15
+
16
+ theorem couplings {I A : Type} [Fintype I] [Fintype A] (p:Wgt I)(f:I→ Wgt A)
17
+ (F:(I×A)×(I×A)→ℝ):
18
+ avg (pairW (semi p f) (semi p f)) F=
19
+ avg (pairW p p) (fun i=>avg (pairW (f i.1) (f i.2)) (fun a=>F ((i.1,a.1),(i.2,a.2)))) := by
20
+ rw [pairW_avg,pairW_avg]
21
+ simp_rw [semi_avg,pairW_avg]
22
+ refine avg_congr (fun i _=>?_); exact avg_avg ..
23
+
24
+ theorem ship_cost (w:LeafMixture p n N)(U:Wgt (UnitType p n N))(m:Mixer p n)
25
+ (v:Station p n N K w) (i:Scrip p K) (Y:Silhouette p N r) :
26
+ avg (cirque w U) (fun x=>v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2))
27
+ = v.stratum i.2.2 m U i.2.1 Y := couplings (portionW U w.T) (fun i=>partW U i.val) _
28
+
29
+ theorem ship_pos (w:LeafMixture p n N) (m:Mixer p n)
30
+ (v:Station p n N K w) (i:Scrip p K) (Y:Silhouette p N r)
31
+ (h:i.2.2.permission)(hp:1≤p.r)(hn:2*p.r≤n)
32
+ (x:ViewPair p n N w):
33
+ 0≤ v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2) := by
34
+ classical
35
+ let a:=i.2.2
36
+ have hA j:= Appearance.witLaw (a.qA.allure_apt a.t a.z h.2.1 j) hp hn
37
+ have hB j:= Appearance.witLaw (a.qB.allure_apt a.t a.z h.2.2.1 j) hp hn
38
+ let s:= v.cAxes x.1.1 (toRates i.1.2.1)
39
+ let t:= v.cAxes x.2.1 (toRates i.1.2.2)
40
+ have hc (j) : 0≤ a.chimera x.1.2 x.2.2 s t m Y j := avg_nonneg (unifOn_sub _).nz
41
+ (fun k=> mul_nonneg (a.qA.seraphFloor a.t a.z x.1.2 m s Y j (hA j) k).1
42
+ (a.qB.seraphFloor a.t a.z x.2.2 m t Y j (hB j) k).1)
43
+ have hM : 0≤a.momus:= mul_nonneg (kappa_pos _).le (kappa_pos _).le
44
+ exact mul_nonneg (ind_nonneg _) (mul_nonneg hM (Finset.prod_nonneg fun i _=>hc i))
45
+
46
+ theorem prognosis (w:LeafMixture p n N) (U: Wgt (UnitType p n N)) (m:Mixer p n)
47
+ (b:PreparationParameters) (v:Station p n N b.pins w) (Y:Silhouette p N r)
48
+ {ε a : ℝ} (he:0 ≤ ε)(ha:0<a) (hp:1≤p.r)(hn:2*p.r≤n)
49
+ (hs:Lead U w m b)
50
+ (h:∀ i:Scrip p b.pins,i.2.2.permission→v.stratum i.2.2 m U i.2.1 Y ≤ ε):
51
+ pr (cirque w U) (fun x=> eligiblePair v m x.1 x.2 Y a)≤ num (Scrip p b.pins)*(ε/a) := by
52
+ classical
53
+ let J:= Scrip p b.pins; let I:=ViewPair p n N w; let V:=cirque w U
54
+ let Q (i:J)(x:I):= v.twilight i.2.2 m i.2.1 Y x.1.1 x.2.1 (x.1.2,x.2.2)
55
+ have ht:= (troupe_bill hs).1; have hv:IsLaw V:=pairW_law ht ht
56
+ let P (i:J)(x:I):= i.2.2.permission∧ a ≤ Q i x
57
+ have hF (i:J): pr V (P i)≤ ε/a := by
58
+ by_cases ht:i.2.2.permission
59
+ · simp only [P,ht,true_and]
60
+ refine (le_div_iff₀ ha).mpr ?_
61
+ rw [mul_comm]
62
+ exact ((le_avg_markov hv.nz (ship_pos w m v i Y ht hp hn) a).trans_eq (ship_cost ..)).trans
63
+ (h i ht)
64
+ rw [show P i=(fun _=>False) from funext fun a=>eq_false fun hh=>ht hh.1,pr_false]; exact div_nonneg he ha.le
65
+ change pr V (fun x=>∃ i,P i x)≤ _
66
+ exact ((pr_exists_le hv.nz P).trans (Finset.sum_le_sum fun i _=> hF i)).trans_eq (by simp [J,num])
67
+
68
+ structure Beams (b:PreparationParameters) (m:Mixer p n) (Y:Silhouette p N r)
69
+ (w:LeafMixture p n N)(U:Wgt (UnitType p n N)) (v:Station p n N b.pins w)
70
+ (a ε δ τ :ℝ):Prop where
71
+ soft : origami p r (wisp p Y) δ
72
+ rare : pr (w.sap U) (fun i=>¬gauze p δ δ Y m b.pins i) ≤ τ
73
+ zone : pr (cirque w U) (fun x=> eligiblePair v m x.1 x.2 Y a) ≤ τ
74
+ haze : 0<δ∧ δ≤ ε
75
+
76
+ variable {l:Filter ℕ} {m:cycleM p} {U:tale p M} {w:rhythms p M} {b:PreparationParameters}
77
+ set_option maxHeartbeats 1400000 in
78
+ theorem lightmap (v:Stations p M b.pins w) (h:veil p M b s0 l m w U)
79
+ (a ε τ:ℝ) (ha:0<a)(he:0<ε)(hτ:0<τ)
80
+ (k:ℕ)(Y:∀ n,Silhouette p (M*n) k):
81
+ ∃ (r:ℕ) (δ:ℝ), ∀ᶠ n in l,
82
+ ∃ X:Silhouette p (M*n) r,refines X (Y n)∧
83
+ Beams b (m n) X (w n) (U n) (v n) a ε δ τ := by
84
+ classical
85
+ let L:= num (Scrip p b.pins); have hL:0≤L:=Nat.cast_nonneg _
86
+ let η := a*τ/(L+1)
87
+ have hη:0<η:=by unfold η; positivity
88
+ let u:= min τ (min ε (1/4))
89
+ have hu :0<u:=lt_min hτ (lt_min he (by norm_num))
90
+ obtain ⟨r,δ,hd,hV,hT⟩:= lateSilk v h η u hη hu k
91
+ refine ⟨r,δ,?_⟩; have he:= h.easel.enter.first
92
+ filter_upwards [h.upright,hT,h.moment,h.durableS.shape,h.durableS.mass.positive,
93
+ (trend_sizes l h.timeL he.hM).2.eventually (eventually_ge_atTop (2*num (Toast p)+1))]
94
+ with n hn ht hp hC hP hN
95
+ obtain ⟨X,hX,hW,hY⟩:=ht (Y n)
96
+ let N:=M*n
97
+ refine ⟨X,hX, ?_,hW.trans (min_le_left ..),?_, hd,?_⟩
98
+ · have h0 i j:IsLaw (wisp p X i j):=
99
+ mapW_law (omegaLaw p i j (show 2*num (Toast p)-(N:ℝ)≤-1 by
100
+ change _≤(N:ℝ) at hN
101
+ linarith only [hN])) _
102
+ refine ⟨h0,fun i j=>?_⟩
103
+ let ν:=wisp p X i j
104
+ have hs : pr ν (fun i=>¬δ≤ν i) = 1-pr ν (fun i=>δ≤ν i) :=by rw [pr_not,(show tot ν=1
105
+ from (h0 i j).total)]
106
+ have hi:u≤1/4:=le_trans (min_le_right ..) (min_le_right ..)
107
+ simp_rw [not_le] at hs
108
+ have hf:= haze_small ν δ hd.le
109
+ linarith only [hf,hs,hV,hi,hd]
110
+ · apply (prognosis (w n) (U n) (m n) b (v n) X hη.le ha he.hR hn.age
111
+ ⟨hC.1,hP,hp.1.law,hC.2⟩ hY).trans
112
+ change L*(η/a)≤τ
113
+ have h : η/a= τ/(L+1) := by unfold η; field_simp
114
+ rw [h,mul_div_assoc',div_le_iff₀ (by linarith)]
115
+ linarith only [hτ]
116
+ have hi:u≤ε:=le_trans (min_le_right ..) (min_le_left ..)
117
+ nlinarith only [hi,hV,hd,Nat.cast_nonneg (α:=ℝ) r]
118
+
119
+ end StatusAnalysis
120
+ end HadwigerCounterexample
121
+
122
+ end
123
+
124
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AmbientBatchSlots.lean CHANGED
@@ -1,211 +1,211 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.TesterSummaryMass
2
- import OAI.Combinatorics.HadwigerCounterexample.ChannelFrameLaws
3
-
4
- namespace OAI
5
-
6
- /-! # Ambient Batch Slots -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix Module LinearMap Finset Function
11
- open scoped BigOperators
12
- variable {I J G A B : Type} [Fintype I] [Fintype J] [Fintype A] [Fintype B]
13
- variable {p : Shape} {n N : ℕ}
14
-
15
- omit [Fintype B] in
16
- theorem mapW_equiv_val (e : A≃B) (w : Wgt A) (y : B) :
17
- mapW w e y=w (e.symm y) := by
18
- classical
19
- have h : (fun x => e x=y)=(fun x => x=e.symm y) := by
20
- funext x; apply propext
21
- exact ⟨fun h => by rw [← h,Equiv.symm_apply_apply],fun h => by rw [h,Equiv.apply_symm_apply]⟩
22
- unfold mapW; rw [h]; simp
23
-
24
- theorem unif_equiv (e : A≃B) : mapW unif e = unif := by
25
- funext x; rw [mapW_equiv_val, unif_apply, unif_apply, Fintype.card_congr e]
26
-
27
- theorem on_equiv (e : A≃B) (p : B→Prop) :
28
- mapW (unifOn (fun x => p (e x))) e = unifOn p := by
29
- classical
30
- have h : nbr (fun x => p (e x))=nbr p := Equiv.sum_comp e (fun y => ind (p y))
31
- funext x
32
- rw [mapW_equiv_val,unifOn_val,unifOn_val]; simp only [Equiv.apply_symm_apply,h]
33
-
34
- abbrev PlusRack (I : Type) (N : ℕ) := Mat (Fin N) I
35
- abbrev Rack (I : Type) (N : ℕ) := PlusRack I N × PlusRack I N
36
- def sectionR {I J : Type} (f : J→I) (x : Rack I N) : Rack J N :=
37
- ((x.1).submatrix _root_.id f, (x.2).submatrix _root_.id f)
38
- abbrev Route (I G : Type) := I → G
39
- abbrev Port {I G : Type} (f : Route I G) (g : G) := {i:I//f i=g}
40
- abbrev Network {I G : Type} (f : Route I G) (N : ℕ) := ∀ i,Rack (Port f i) N
41
-
42
- variable [Fintype G]
43
- variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
44
- variable {f : Route I G}
45
-
46
- def rackEquiv (f : Route I G) (N : ℕ) : Rack I N ≃ Network f N where
47
- toFun x i := sectionR Subtype.val x
48
- invFun x := (Matrix.of (fun j i => (x (f i)).1 j ⟨i,rfl⟩),
49
- Matrix.of (fun j i => (x (f i)).2 j ⟨i,rfl⟩))
50
- left_inv x := by apply Prod.ext <;> rfl
51
- right_inv x := by
52
- funext i; apply Prod.ext <;>
53
- · ext j ⟨y,rfl⟩; rfl
54
-
55
- abbrev GeoM (f : Route I G) := ∀ i,Mat (Port f i) (Port f i)
56
-
57
- def gramPart {N} (A : GeoM f) (x : Rack I N) :=
58
- ∀ i,let P:=rackEquiv f N x i;
59
- P.1ᵀ*P.2=A i
60
- def injPart (f : Route I G) {N} (x : Rack I N) :=
61
- ∀ i,let P:=rackEquiv f N x i;
62
- Injective P.1.mulVec ∧ Injective P.2.mulVec
63
-
64
- def bothPart {N} (A : GeoM f) (x : Rack I N) := ∀ i, gramGood (A i) (rackEquiv f N x i)
65
-
66
- def scoreR {I : Type} (x : Rack I N) (i j : I) : F := (x.1ᵀ*x.2) i j
67
-
68
- omit [Fintype I] [Fintype G] [DecidableEq I] [DecidableEq G] in
69
- theorem part_scores (x : Rack I N) (A : GeoM f) :
70
- gramPart A x↔ ∀ i, ∀ a b : Port f i,scoreR x a.val b.val=A i a b := by
71
- constructor
72
- · intro h i a b; exact congr_fun (congr_fun (h i) a) b
73
- intro h i; exact Matrix.ext (fun a b => h i a b)
74
-
75
- omit [Fintype G] [DecidableEq I] in
76
- theorem both_test (A : GeoM f) (x : Rack I N) :
77
- bothPart A x↔ gramPart A x ∧injPart f x := by simp [gramPart,injPart,bothPart,gramGood,forall_and]
78
-
79
- private theorem pi_unif {I : Type} [Fintype I] [DecidableEq I]
80
- {A : I→Type} [∀ i,Fintype (A i)] :
81
- unif (α:=(∀ i,A i)) = prodW (fun i => unif (α:=A i)) := by
82
- classical
83
- funext x
84
- simp [unif_apply,prodW,Fintype.card_pi]
85
-
86
- private theorem pi_unifOn {I : Type} [Fintype I] [DecidableEq I]
87
- {A : I→Type} [∀ i,Fintype (A i)] (p : ∀ i,A i→Prop) :
88
- unifOn (fun x => ∀ i,p i (x i)) = prodW (fun i => unifOn (p i)) := by
89
- classical
90
- funext x
91
- rw [unifOn_val]
92
- have he : nbr (fun x : (∀ i, A i) => ∀ i,p i (x i)) = ∏ i,nbr (p i) := by
93
- unfold nbr; simp_rw [ind_all]
94
- exact prodW_tot (fun (i : I) (x : A i) => ind (p i x))
95
- simp only [prodW,he,unifOn_val,ind_all,Finset.prod_div_distrib]
96
-
97
- def rackStation (A : GeoM f) (N : ℕ) : Wgt (Rack I N) := unifOn (bothPart A)
98
- def rackWave (A : GeoM f) (N : ℕ) : Wgt (Rack I N) := unifOn (gramPart A)
99
-
100
- theorem station_split (A : GeoM f) (N : ℕ) :
101
- mapW (rackStation A N) (rackEquiv f N)=
102
- prodW (fun i => unifOn (gramGood (A i))) := by
103
- classical
104
- unfold rackStation bothPart
105
- rw [show mapW _ _= _ from on_equiv (rackEquiv f N)
106
- (fun x => ∀ i,gramGood (A i) (x i))]
107
- exact pi_unifOn _
108
-
109
- def netSize (f : Route I G) := ∑ i : G,num (Port f i)*num (Port f i)
110
- def netFact (f : Route I G) :=
111
- (4:ℝ)^(Fintype.card G)*bp (netSize f)
112
-
113
- omit [DecidableEq I] in
114
- theorem netFact_pos : 0<netFact f := mul_pos (pow_pos (by norm_num) _) (bp_pos _)
115
-
116
- theorem net_norm (A : GeoM f) (N : ℕ)
117
- (h : ∀ i,2*num (Port f i)-N≤ -1) :
118
- (netFact f)⁻¹ ≤ pr unif (bothPart (N:=N) A) ∧
119
- pr unif (bothPart (N:=N) A) ≤ bp (-netSize f) := by
120
- classical
121
- let p := fun i => gramGood (U:=Fin N) (A i)
122
- have hnum (t : ℕ) : num (Fin t)=(t:ℝ) := by simp [num]
123
- have ht i : num (Port f i) + num (Port f i)-num (Fin N)≤ -1 := by rw [←two_mul,hnum]; exact h _
124
- have he : pr unif (bothPart (N:=N) A) = ∏ i,pr unif (p i) := by
125
- unfold bothPart
126
- rw [←mapW_pr unif (rackEquiv f N) (fun x => ∀ i,p i (x i)), unif_equiv]
127
- conv_lhs => rw [pi_unif]
128
- exact prodW_pr ..
129
- rw [he]; constructor
130
- · let h' (i : G) := bp (-(num (Port f i))*num (Port f i))/4
131
- have hh i : h' i ≤ pr unif (p i) := gram_norm_quarter _ (ht _)
132
- refine le_trans ?_ (Finset.prod_le_prod₀ (fun i _ => div_nonneg (bp_pos _).le
133
- (by norm_num)) fun i _ => hh i)
134
- unfold netFact
135
- rw [_root_.mul_inv_rev,Finset.prod_div_distrib,←bp_sum,netSize,Finset.prod_const,
136
- ← bp_neg, ← Finset.sum_neg_distrib]
137
- simp_rw [neg_mul, Finset.card_univ,div_eq_mul_inv]
138
- exact le_rfl
139
- · have h i :=
140
- (gram_norm (U:=Fin N) (A i) (show _≤ _ by linarith only [ht i])).1
141
- unfold netSize
142
- rw [← Finset.sum_neg_distrib, bp_sum]
143
- apply Finset.prod_le_prod₀ (fun i _ => pr_nonneg unif_law.nz)
144
- intro i _
145
- rw [pair_unif,←neg_mul]
146
- exact h i
147
-
148
- theorem wave_norm (A : GeoM f) (N : ℕ)
149
- (h : ∀ i,2*num (Port f i)-N≤ -1) :
150
- (netFact f)⁻¹ ≤ pr unif (gramPart (N:=N) A) :=
151
- ((net_norm A N h).1).trans
152
- (pr_mono unif_law.nz (fun _ hx => ((both_test ..).mp hx).1))
153
-
154
- theorem injPart_failure (f : Route I G) (N : ℕ) (k : ℝ) (h : ∀ i,num (Port f i)≤k) :
155
- pr unif (fun x : Rack I N => ¬injPart f x)≤num G*(2*bp (k-N)) := by
156
- classical
157
- let Q := fun x : Network f N =>
158
- ∀ i, Injective (x i).1.mulVec ∧ Injective (x i).2.mulVec
159
- have he :
160
- pr unif (fun x : Rack I N => ¬injPart f x)=
161
- pr (prodW (fun i : G => unif (α:=Rack (Port f i) N))) (fun x => ¬Q x) := by
162
- rw [←pi_unif,← unif_equiv (rackEquiv f N),mapW_pr]
163
- rfl
164
- rw [he]
165
- let P i := fun x : Rack (Port f i) N => ¬ (Injective x.1.mulVec∧Injective x.2.mulVec)
166
- let w : Wgt (Network f N) := prodW (fun i => unif)
167
- have hw : IsLaw w := prodW_law (fun _ => unif_law)
168
- have ht i : pr unif (P i) ≤ 2*bp (k-N) := by
169
- let g := fun x : PlusRack (Port f i) N => ¬Injective x.mulVec
170
- have hi : pr unif g≤ bp (k-N) := by
171
- refine unif_fail.trans (bp_le ?_)
172
- have he := h i
173
- simp only [num,Fintype.card_fin] at *
174
- linarith only [he]
175
- have hQ (x : Rack (Port f i) N) :
176
- P i x→ (True∧g x.2)∨(g x.1∧True) := by unfold P g; tauto
177
- rw [pair_unif,two_mul]
178
- let nz := (pairW_law (α:=PlusRack (Port f i) N) unif_law (β:=PlusRack (Port f i) N) unif_law).nz
179
- calc pr _ _
180
- _ ≤ _ := pr_mono nz hQ
181
- _ ≤ _ := pr_or_le nz
182
- _ ≤ _ := by rw [pairW_pr unif unif (fun _ : PlusRack (Port f i) N => True) g,pairW_pr unif unif g (fun _ : PlusRack (Port f i) N => True),pr_true,unif_law.total,one_mul,mul_one]
183
- exact add_le_add hi hi
184
- have hP x (h : ¬Q x) : ∃ i,P i (x i) := Classical.byContradiction (fun g =>
185
- h (fun i => Classical.byContradiction (fun he => g ⟨i,he⟩)))
186
- have hc i :
187
- pr w (fun x => P i (x i))=pr unif (P i) := by
188
- let g (j : G) (x : Rack (Port f j) N) :=
189
- if h:j=i then by subst i; exact P j x else True
190
- have he (x : Network f N) :
191
- P i (x i) ↔ ∀ j,g j (x j) := by
192
- constructor
193
- · intro h j
194
- by_cases he : j=i
195
- · subst j; exact (by simpa [g])
196
- simp [g,he]
197
- · intro h; simpa [g] using h i
198
- simp_rw [he]; unfold w; rw [prodW_pr _ g,Finset.prod_eq_single i]
199
- · simp [g]
200
- · intro j _ hj; simp [g,hj,unif_law.total]
201
- simp
202
- refine le_trans (pr_mono hw.nz hP) ((pr_exists_le hw.nz (fun i x => P i (x i))).trans ?_)
203
- simp_rw [hc]
204
- refine (Finset.sum_le_sum fun i _ => ht i).trans_eq ?_
205
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,num]
206
-
207
- end HadwigerCounterexample
208
-
209
- end
210
-
211
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.TesterSummaryMass
2
+ import OAI.Combinatorics.HadwigerCounterexample.ChannelFrameLaws
3
+
4
+ namespace OAI
5
+
6
+ /-! # Ambient Batch Slots -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix Module LinearMap Finset Function
11
+ open scoped BigOperators
12
+ variable {I J G A B : Type} [Fintype I] [Fintype J] [Fintype A] [Fintype B]
13
+ variable {p : Shape} {n N : ℕ}
14
+
15
+ omit [Fintype B] in
16
+ theorem mapW_equiv_val (e : A≃B) (w : Wgt A) (y : B) :
17
+ mapW w e y=w (e.symm y) := by
18
+ classical
19
+ have h : (fun x => e x=y)=(fun x => x=e.symm y) := by
20
+ funext x; apply propext
21
+ exact ⟨fun h => by rw [← h,Equiv.symm_apply_apply],fun h => by rw [h,Equiv.apply_symm_apply]⟩
22
+ unfold mapW; rw [h]; simp
23
+
24
+ theorem unif_equiv (e : A≃B) : mapW unif e = unif := by
25
+ funext x; rw [mapW_equiv_val, unif_apply, unif_apply, Fintype.card_congr e]
26
+
27
+ theorem on_equiv (e : A≃B) (p : B→Prop) :
28
+ mapW (unifOn (fun x => p (e x))) e = unifOn p := by
29
+ classical
30
+ have h : nbr (fun x => p (e x))=nbr p := Equiv.sum_comp e (fun y => ind (p y))
31
+ funext x
32
+ rw [mapW_equiv_val,unifOn_val,unifOn_val]; simp only [Equiv.apply_symm_apply,h]
33
+
34
+ abbrev PlusRack (I : Type) (N : ℕ) := Mat (Fin N) I
35
+ abbrev Rack (I : Type) (N : ℕ) := PlusRack I N × PlusRack I N
36
+ def sectionR {I J : Type} (f : J→I) (x : Rack I N) : Rack J N :=
37
+ ((x.1).submatrix _root_.id f, (x.2).submatrix _root_.id f)
38
+ abbrev Route (I G : Type) := I → G
39
+ abbrev Port {I G : Type} (f : Route I G) (g : G) := {i:I//f i=g}
40
+ abbrev Network {I G : Type} (f : Route I G) (N : ℕ) := ∀ i,Rack (Port f i) N
41
+
42
+ variable [Fintype G]
43
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
44
+ variable {f : Route I G}
45
+
46
+ def rackEquiv (f : Route I G) (N : ℕ) : Rack I N ≃ Network f N where
47
+ toFun x i := sectionR Subtype.val x
48
+ invFun x := (Matrix.of (fun j i => (x (f i)).1 j ⟨i,rfl⟩),
49
+ Matrix.of (fun j i => (x (f i)).2 j ⟨i,rfl⟩))
50
+ left_inv x := by apply Prod.ext <;> rfl
51
+ right_inv x := by
52
+ funext i; apply Prod.ext <;>
53
+ · ext j ⟨y,rfl⟩; rfl
54
+
55
+ abbrev GeoM (f : Route I G) := ∀ i,Mat (Port f i) (Port f i)
56
+
57
+ def gramPart {N} (A : GeoM f) (x : Rack I N) :=
58
+ ∀ i,let P:=rackEquiv f N x i;
59
+ P.1ᵀ*P.2=A i
60
+ def injPart (f : Route I G) {N} (x : Rack I N) :=
61
+ ∀ i,let P:=rackEquiv f N x i;
62
+ Injective P.1.mulVec ∧ Injective P.2.mulVec
63
+
64
+ def bothPart {N} (A : GeoM f) (x : Rack I N) := ∀ i, gramGood (A i) (rackEquiv f N x i)
65
+
66
+ def scoreR {I : Type} (x : Rack I N) (i j : I) : F := (x.1ᵀ*x.2) i j
67
+
68
+ omit [Fintype I] [Fintype G] [DecidableEq I] [DecidableEq G] in
69
+ theorem part_scores (x : Rack I N) (A : GeoM f) :
70
+ gramPart A x↔ ∀ i, ∀ a b : Port f i,scoreR x a.val b.val=A i a b := by
71
+ constructor
72
+ · intro h i a b; exact congr_fun (congr_fun (h i) a) b
73
+ intro h i; exact Matrix.ext (fun a b => h i a b)
74
+
75
+ omit [Fintype G] [DecidableEq I] in
76
+ theorem both_test (A : GeoM f) (x : Rack I N) :
77
+ bothPart A x↔ gramPart A x ∧injPart f x := by simp [gramPart,injPart,bothPart,gramGood,forall_and]
78
+
79
+ private theorem pi_unif {I : Type} [Fintype I] [DecidableEq I]
80
+ {A : I→Type} [∀ i,Fintype (A i)] :
81
+ unif (α:=(∀ i,A i)) = prodW (fun i => unif (α:=A i)) := by
82
+ classical
83
+ funext x
84
+ simp [unif_apply,prodW,Fintype.card_pi]
85
+
86
+ private theorem pi_unifOn {I : Type} [Fintype I] [DecidableEq I]
87
+ {A : I→Type} [∀ i,Fintype (A i)] (p : ∀ i,A i→Prop) :
88
+ unifOn (fun x => ∀ i,p i (x i)) = prodW (fun i => unifOn (p i)) := by
89
+ classical
90
+ funext x
91
+ rw [unifOn_val]
92
+ have he : nbr (fun x : (∀ i, A i) => ∀ i,p i (x i)) = ∏ i,nbr (p i) := by
93
+ unfold nbr; simp_rw [ind_all]
94
+ exact prodW_tot (fun (i : I) (x : A i) => ind (p i x))
95
+ simp only [prodW,he,unifOn_val,ind_all,Finset.prod_div_distrib]
96
+
97
+ def rackStation (A : GeoM f) (N : ℕ) : Wgt (Rack I N) := unifOn (bothPart A)
98
+ def rackWave (A : GeoM f) (N : ℕ) : Wgt (Rack I N) := unifOn (gramPart A)
99
+
100
+ theorem station_split (A : GeoM f) (N : ℕ) :
101
+ mapW (rackStation A N) (rackEquiv f N)=
102
+ prodW (fun i => unifOn (gramGood (A i))) := by
103
+ classical
104
+ unfold rackStation bothPart
105
+ rw [show mapW _ _= _ from on_equiv (rackEquiv f N)
106
+ (fun x => ∀ i,gramGood (A i) (x i))]
107
+ exact pi_unifOn _
108
+
109
+ def netSize (f : Route I G) := ∑ i : G,num (Port f i)*num (Port f i)
110
+ def netFact (f : Route I G) :=
111
+ (4:ℝ)^(Fintype.card G)*bp (netSize f)
112
+
113
+ omit [DecidableEq I] in
114
+ theorem netFact_pos : 0<netFact f := mul_pos (pow_pos (by norm_num) _) (bp_pos _)
115
+
116
+ theorem net_norm (A : GeoM f) (N : ℕ)
117
+ (h : ∀ i,2*num (Port f i)-N≤ -1) :
118
+ (netFact f)⁻¹ ≤ pr unif (bothPart (N:=N) A) ∧
119
+ pr unif (bothPart (N:=N) A) ≤ bp (-netSize f) := by
120
+ classical
121
+ let p := fun i => gramGood (U:=Fin N) (A i)
122
+ have hnum (t : ℕ) : num (Fin t)=(t:ℝ) := by simp [num]
123
+ have ht i : num (Port f i) + num (Port f i)-num (Fin N)≤ -1 := by rw [←two_mul,hnum]; exact h _
124
+ have he : pr unif (bothPart (N:=N) A) = ∏ i,pr unif (p i) := by
125
+ unfold bothPart
126
+ rw [←mapW_pr unif (rackEquiv f N) (fun x => ∀ i,p i (x i)), unif_equiv]
127
+ conv_lhs => rw [pi_unif]
128
+ exact prodW_pr ..
129
+ rw [he]; constructor
130
+ · let h' (i : G) := bp (-(num (Port f i))*num (Port f i))/4
131
+ have hh i : h' i ≤ pr unif (p i) := gram_norm_quarter _ (ht _)
132
+ refine le_trans ?_ (Finset.prod_le_prod₀ (fun i _ => div_nonneg (bp_pos _).le
133
+ (by norm_num)) fun i _ => hh i)
134
+ unfold netFact
135
+ rw [_root_.mul_inv_rev,Finset.prod_div_distrib,←bp_sum,netSize,Finset.prod_const,
136
+ ← bp_neg, ← Finset.sum_neg_distrib]
137
+ simp_rw [neg_mul, Finset.card_univ,div_eq_mul_inv]
138
+ exact le_rfl
139
+ · have h i :=
140
+ (gram_norm (U:=Fin N) (A i) (show _≤ _ by linarith only [ht i])).1
141
+ unfold netSize
142
+ rw [← Finset.sum_neg_distrib, bp_sum]
143
+ apply Finset.prod_le_prod₀ (fun i _ => pr_nonneg unif_law.nz)
144
+ intro i _
145
+ rw [pair_unif,←neg_mul]
146
+ exact h i
147
+
148
+ theorem wave_norm (A : GeoM f) (N : ℕ)
149
+ (h : ∀ i,2*num (Port f i)-N≤ -1) :
150
+ (netFact f)⁻¹ ≤ pr unif (gramPart (N:=N) A) :=
151
+ ((net_norm A N h).1).trans
152
+ (pr_mono unif_law.nz (fun _ hx => ((both_test ..).mp hx).1))
153
+
154
+ theorem injPart_failure (f : Route I G) (N : ℕ) (k : ℝ) (h : ∀ i,num (Port f i)≤k) :
155
+ pr unif (fun x : Rack I N => ¬injPart f x)≤num G*(2*bp (k-N)) := by
156
+ classical
157
+ let Q := fun x : Network f N =>
158
+ ∀ i, Injective (x i).1.mulVec ∧ Injective (x i).2.mulVec
159
+ have he :
160
+ pr unif (fun x : Rack I N => ¬injPart f x)=
161
+ pr (prodW (fun i : G => unif (α:=Rack (Port f i) N))) (fun x => ¬Q x) := by
162
+ rw [←pi_unif,← unif_equiv (rackEquiv f N),mapW_pr]
163
+ rfl
164
+ rw [he]
165
+ let P i := fun x : Rack (Port f i) N => ¬ (Injective x.1.mulVec∧Injective x.2.mulVec)
166
+ let w : Wgt (Network f N) := prodW (fun i => unif)
167
+ have hw : IsLaw w := prodW_law (fun _ => unif_law)
168
+ have ht i : pr unif (P i) ≤ 2*bp (k-N) := by
169
+ let g := fun x : PlusRack (Port f i) N => ¬Injective x.mulVec
170
+ have hi : pr unif g≤ bp (k-N) := by
171
+ refine unif_fail.trans (bp_le ?_)
172
+ have he := h i
173
+ simp only [num,Fintype.card_fin] at *
174
+ linarith only [he]
175
+ have hQ (x : Rack (Port f i) N) :
176
+ P i x→ (True∧g x.2)∨(g x.1∧True) := by unfold P g; tauto
177
+ rw [pair_unif,two_mul]
178
+ let nz := (pairW_law (α:=PlusRack (Port f i) N) unif_law (β:=PlusRack (Port f i) N) unif_law).nz
179
+ calc pr _ _
180
+ _ ≤ _ := pr_mono nz hQ
181
+ _ ≤ _ := pr_or_le nz
182
+ _ ≤ _ := by rw [pairW_pr unif unif (fun _ : PlusRack (Port f i) N => True) g,pairW_pr unif unif g (fun _ : PlusRack (Port f i) N => True),pr_true,unif_law.total,one_mul,mul_one]
183
+ exact add_le_add hi hi
184
+ have hP x (h : ¬Q x) : ∃ i,P i (x i) := Classical.byContradiction (fun g =>
185
+ h (fun i => Classical.byContradiction (fun he => g ⟨i,he⟩)))
186
+ have hc i :
187
+ pr w (fun x => P i (x i))=pr unif (P i) := by
188
+ let g (j : G) (x : Rack (Port f j) N) :=
189
+ if h:j=i then by subst i; exact P j x else True
190
+ have he (x : Network f N) :
191
+ P i (x i) ↔ ∀ j,g j (x j) := by
192
+ constructor
193
+ · intro h j
194
+ by_cases he : j=i
195
+ · subst j; exact (by simpa [g])
196
+ simp [g,he]
197
+ · intro h; simpa [g] using h i
198
+ simp_rw [he]; unfold w; rw [prodW_pr _ g,Finset.prod_eq_single i]
199
+ · simp [g]
200
+ · intro j _ hj; simp [g,hj,unif_law.total]
201
+ simp
202
+ refine le_trans (pr_mono hw.nz hP) ((pr_exists_le hw.nz (fun i x => P i (x i))).trans ?_)
203
+ simp_rw [hc]
204
+ refine (Finset.sum_le_sum fun i _ => ht i).trans_eq ?_
205
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,num]
206
+
207
+ end HadwigerCounterexample
208
+
209
+ end
210
+
211
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AnalyticParameters.lean CHANGED
@@ -1,143 +1,143 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PairedMassIdentities
2
- import OAI.Combinatorics.HadwigerCounterexample.UnaryPositivityBounds
3
- import OAI.Combinatorics.HadwigerCounterexample.RecursiveComparisonErrors
4
- import OAI.Combinatorics.HadwigerCounterexample.MixerExistence
5
-
6
- namespace OAI
7
-
8
- /-! # Analytic Parameters -/
9
-
10
- noncomputable section
11
- namespace HadwigerCounterexample
12
- open Filter Finset Matrix
13
- open scoped BigOperators Topology
14
- open StatusAnalysis StatusAnalysis.Station
15
-
16
- def frameBills (g K : ℕ) :=
17
- 2*Fintype.card (Comp g)*K*qorth K
18
-
19
- structure AnalyticParameters (p : Shape) (M : ℕ) (b : PreparationParameters) (r : ℕ) : Prop where
20
- enter : b.entry p M
21
- thickness : 4≤ M
22
- profiles : 2*profileA p b.pins < r
23
- jump : 1≤p.J
24
- bigJ : r≤p.J
25
- gleaming : bp (-((p.J-r:ℕ):ℝ))*bp r < glintRate b.pins
26
- penRoom : (b.pins+1)*qorth b.pins≤p.j+1
27
- forbid : frameBills p.g b.pins+1000 ≤ b.B
28
- spare : 3*b.B < Fintype.card (Label p.b)
29
- secure : ∀ᶠ n : ℕ in atTop, Station.earnsScore p n (M*n) b.pins (2*b.ζ)
30
-
31
- namespace PreparationParameters
32
- variable {b : PreparationParameters} {p : Shape} {N M r : ℕ} {l : Filter ℕ} {m : cycleM p}
33
- {s : rhythms p M} {w : tale p M}
34
-
35
- def conflicted {n : ℕ} (p : Shape) (m : Mixer p n) (N : ℕ) (w : Wgt (UnitType p n N)) :=
36
- pr (pairW w w) (clash p m N)<bp (-100*p.g*(N:ℝ))
37
-
38
- structure veil (p : Shape) (M : ℕ) (b : PreparationParameters) (r : ℕ)
39
- (l : Filter ℕ) (m : cycleM p) (s : rhythms p M) (w : tale p M) : Prop where
40
- easel : AnalyticParameters p M b r
41
- timeL : l≤atTop
42
- durableS : b.durable l p M m w s
43
- moment : ∀ᶠ n in l,b.nascent p (M*n) (w n) (m n) ∧ unaryGood (m n) b.pins r ∧
44
- binaryGood (m n) ∧ conflicted p (m n) (M*n) (w n)
45
-
46
- abbrev Stations (p : Shape) (M K : ℕ) (s : rhythms p M) :=
47
- ∀ n : ℕ, Station p n (M*n) K (s n)
48
-
49
- theorem beam_cost (p : Shape) (N : ℕ) (h : 3≤p.g) :
50
- beamPrice p N * bp (-100*p.g*(N:ℝ)) ≤ bp (-(N:ℝ)) := by
51
- unfold beamPrice; rw [←bp_add]; refine bp_le ?_
52
- have hh : kmax p ≤56*p.g := by unfold kmax; omega
53
- have ht : (kmax p:ℝ)≤56*p.g := by exact_mod_cast hh
54
- have hg : 3 ≤ (p.g:ℝ) := by exact_mod_cast h
55
- apply le_trans ?_ (le_of_eq (neg_one_mul _))
56
- rw [← add_mul]
57
- exact mul_le_mul_of_nonneg_right (by linarith only [ht,hg]) (by positivity)
58
-
59
- set_option maxHeartbeats 1200000 in
60
- theorem veil.score_cost (h : veil p M b r l m s w)
61
- (v : Stations p M b.pins s) :
62
- ∃ δ : ℕ → ℝ,ExpSmall l (fun n=> ((M*n:ℕ):ℝ)) δ ∧
63
- ∀ᶠ n in l, ∀ (q : Format) (d e : Rates) (x : Typus p q d e) (k : Fin (2^deckMax p b.pins)),
64
- |arena (v n) x (m n) (w n) k|≤δ n := by
65
- let N:=fun n : ℕ=> M*n; let z:=fun n=>((N n):ℝ)
66
- have hq := h.easel
67
- have ht := hq.enter.first
68
- have hz : Tendsto z l atTop := (trend_sizes l h.timeL ht.hM).2
69
- let C n:= ((s n).amount (w n))⁻¹
70
- have hc := h.durableS.mass.inv_cap
71
- let δ n := bp (-1*z n)*C n*C n + bp (-0.005*z n)*2
72
- have hd : ExpSmall l z δ :=
73
- (((ExpSmall.bp_n zero_lt_one).mul hc).mul hc).add hz
74
- ((ExpSmall.bp_n (by norm_num)).mul (expO_const hz _))
75
- refine ⟨δ,hd,?_⟩
76
- filter_upwards [h.moment,h.durableS.mass.positive,h.durableS.shape,hq.secure.filter_mono h.timeL]
77
- with n hn hN hA hB q d e x k
78
- have hm := hn.1.law
79
- rw [abs_of_nonneg (arena_pos _ _ _ _ _ hN hm)]
80
- let u:=(s n).sap (w n)
81
- refine (arena_bound (v n) x _ _ k hA.1 hm hN hB).trans ?_
82
- have hμ i : 0≤u i := (LeafMixture.sapLaw hN hm).nz _
83
- have hk i : u i ≤ C n*w n i := LeafMixture.upper_sap hm hN i
84
- have hv (x:UnitType p n (N n) × UnitType p n (N n)) :
85
- pairW u u x ≤ (C n*C n)*pairW (w n) (w n) x :=
86
- (mul_le_mul (hk _) (hk _) (hμ _) ((hμ _).trans (hk _))).trans_eq (by unfold pairW; ring)
87
- have hf : pr (pairW u u) (clash p (m n) (N n)) ≤
88
- (C n*C n)*bp (-100*p.g * (z n)) := (pr_cap hv _).trans
89
- (mul_le_mul_of_nonneg_left hn.2.2.2.le (mul_self_nonneg _))
90
- unfold δ
91
- rw [mul_comm _ 2]
92
- refine add_le_add_left ((mul_le_mul_of_nonneg_left hf (bp_pos _).le).trans ?_) _
93
- calc _ = (beamPrice p (N n) * bp (-100 * p.g * z n))*(C n*C n) := by unfold beamPrice N; ring
94
- _ ≤ _ := (mul_le_mul_of_nonneg_right (beam_cost p (N n) ht.hG) (mul_self_nonneg _)).trans_eq
95
- (by unfold z; rw [neg_one_mul,mul_assoc])
96
-
97
- structure Align (b : PreparationParameters) (r : ℕ) (p : Shape) (M n : ℕ) (m : Mixer p n)
98
- (u : Wgt (UnitType p n (M*n))) : Prop where
99
- rum : binaryGood m
100
- hymn : unaryGood m b.pins r
101
- age : 2*p.r ≤ n
102
- cols : 2*num (Full p n)<(M*n:ℕ)
103
- drain : Template.drained m b.spJoint u
104
-
105
- set_option maxHeartbeats 1200000 in
106
- theorem veil.upright (h : veil p M b r l m s w) :
107
- ∀ᶠ n in l,Align b r p M n (m n) ((s n).sap (w n)) := by
108
- let z n:= ((M*n:ℕ):ℝ)
109
- have ht := h.easel.enter.first
110
- have hM : 1 ≤ (M:ℝ) := by exact_mod_cast ht.hM
111
- let e : �� := 1/(128*M)
112
- have he : 0< e:=by unfold e; positivity
113
- have hz := (trend_sizes l h.timeL ht.hM).2
114
- let D n:=((s n).amount (w n))⁻¹
115
- filter_upwards [h.moment,h.durableS.mass.inv_cap e he,
116
- h.durableS.mass.positive,expO_const hz b.L e he, ht.wrap.filter_mono h.timeL,
117
- (eventually_ge_atTop (2*p.r)).filter_mono h.timeL] with n hn he' ht' hL hG hH
118
- have hw := hn.1.law
119
- have h1 (i) := LeafMixture.upper_sap hw ht' i
120
- have h2 : 0≤D n := (inv_pos_of_pos ht').le
121
- have hB : D n * b.L ≤ bp (1/32*(n:ℝ)) := by
122
- have hi : e*z n=(1/128)*(n:ℝ) := by unfold e z; push_cast; field_simp
123
- calc _ ≤ bp (e*z n)*bp (e*z n) :=
124
- mul_le_mul ((le_abs_self _).trans he') ((le_abs_self _).trans hL) ht.early.hL
125
- (bp_pos _).le
126
- _ ≤ _ := by rw [←bp_add,hi]; apply bp_le; linarith [(Nat.cast_nonneg n :0≤(n:ℝ))]
127
- have hv := LeafMixture.upperSide hn.1.border h1 h2 hB
128
- refine ⟨hn.2.2.1,hn.2.1,hH,hG.1, LeafMixture.sapLaw ht' hw, hv true,hv false,fun i=>?_⟩
129
- have hh := hn.1.total i
130
- apply ((h1 i).trans (mul_le_mul_of_nonneg_left hh h2)).trans
131
- rw [←mul_assoc]
132
- refine mul_le_mul_of_nonneg_right ?_ (mul_nonneg (raw_nonneg ..) (raw_nonneg ..))
133
- have hx : e ≤1 := by unfold e; exact (div_le_iff₀ (by positivity)).mpr (by linarith)
134
- refine (mul_le_mul_of_nonneg_right ((le_abs_self _).trans he') (bp_pos _).le).trans ?_
135
- rw [←bp_add]
136
- unfold spJoint; refine bp_le ?_; rw [←add_mul]
137
- exact mul_le_mul_of_nonneg_right (by linarith only [hx]) (by positivity)
138
- end PreparationParameters
139
- end HadwigerCounterexample
140
-
141
- end
142
-
143
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PairedMassIdentities
2
+ import OAI.Combinatorics.HadwigerCounterexample.UnaryPositivityBounds
3
+ import OAI.Combinatorics.HadwigerCounterexample.RecursiveComparisonErrors
4
+ import OAI.Combinatorics.HadwigerCounterexample.MixerExistence
5
+
6
+ namespace OAI
7
+
8
+ /-! # Analytic Parameters -/
9
+
10
+ noncomputable section
11
+ namespace HadwigerCounterexample
12
+ open Filter Finset Matrix
13
+ open scoped BigOperators Topology
14
+ open StatusAnalysis StatusAnalysis.Station
15
+
16
+ def frameBills (g K : ℕ) :=
17
+ 2*Fintype.card (Comp g)*K*qorth K
18
+
19
+ structure AnalyticParameters (p : Shape) (M : ℕ) (b : PreparationParameters) (r : ℕ) : Prop where
20
+ enter : b.entry p M
21
+ thickness : 4≤ M
22
+ profiles : 2*profileA p b.pins < r
23
+ jump : 1≤p.J
24
+ bigJ : r≤p.J
25
+ gleaming : bp (-((p.J-r:ℕ):ℝ))*bp r < glintRate b.pins
26
+ penRoom : (b.pins+1)*qorth b.pins≤p.j+1
27
+ forbid : frameBills p.g b.pins+1000 ≤ b.B
28
+ spare : 3*b.B < Fintype.card (Label p.b)
29
+ secure : ∀ᶠ n : ℕ in atTop, Station.earnsScore p n (M*n) b.pins (2*b.ζ)
30
+
31
+ namespace PreparationParameters
32
+ variable {b : PreparationParameters} {p : Shape} {N M r : ℕ} {l : Filter ℕ} {m : cycleM p}
33
+ {s : rhythms p M} {w : tale p M}
34
+
35
+ def conflicted {n : ℕ} (p : Shape) (m : Mixer p n) (N : ℕ) (w : Wgt (UnitType p n N)) :=
36
+ pr (pairW w w) (clash p m N)<bp (-100*p.g*(N:ℝ))
37
+
38
+ structure veil (p : Shape) (M : ℕ) (b : PreparationParameters) (r : ℕ)
39
+ (l : Filter ℕ) (m : cycleM p) (s : rhythms p M) (w : tale p M) : Prop where
40
+ easel : AnalyticParameters p M b r
41
+ timeL : l≤atTop
42
+ durableS : b.durable l p M m w s
43
+ moment : ∀ᶠ n in l,b.nascent p (M*n) (w n) (m n) ∧ unaryGood (m n) b.pins r ∧
44
+ binaryGood (m n) ∧ conflicted p (m n) (M*n) (w n)
45
+
46
+ abbrev Stations (p : Shape) (M K : ℕ) (s : rhythms p M) :=
47
+ ∀ n : ℕ, Station p n (M*n) K (s n)
48
+
49
+ theorem beam_cost (p : Shape) (N : ℕ) (h : 3≤p.g) :
50
+ beamPrice p N * bp (-100*p.g*(N:ℝ)) ≤ bp (-(N:ℝ)) := by
51
+ unfold beamPrice; rw [←bp_add]; refine bp_le ?_
52
+ have hh : kmax p ≤56*p.g := by unfold kmax; omega
53
+ have ht : (kmax p:ℝ)≤56*p.g := by exact_mod_cast hh
54
+ have hg : 3 ≤ (p.g:ℝ) := by exact_mod_cast h
55
+ apply le_trans ?_ (le_of_eq (neg_one_mul _))
56
+ rw [← add_mul]
57
+ exact mul_le_mul_of_nonneg_right (by linarith only [ht,hg]) (by positivity)
58
+
59
+ set_option maxHeartbeats 1200000 in
60
+ theorem veil.score_cost (h : veil p M b r l m s w)
61
+ (v : Stations p M b.pins s) :
62
+ ∃ δ : ℕ → ℝ,ExpSmall l (fun n=> ((M*n:ℕ):ℝ)) δ ∧
63
+ ∀ᶠ n in l, ∀ (q : Format) (d e : Rates) (x : Typus p q d e) (k : Fin (2^deckMax p b.pins)),
64
+ |arena (v n) x (m n) (w n) k|≤δ n := by
65
+ let N:=fun n : ℕ=> M*n; let z:=fun n=>((N n):ℝ)
66
+ have hq := h.easel
67
+ have ht := hq.enter.first
68
+ have hz : Tendsto z l atTop := (trend_sizes l h.timeL ht.hM).2
69
+ let C n:= ((s n).amount (w n))⁻¹
70
+ have hc := h.durableS.mass.inv_cap
71
+ let δ n := bp (-1*z n)*C n*C n + bp (-0.005*z n)*2
72
+ have hd : ExpSmall l z δ :=
73
+ (((ExpSmall.bp_n zero_lt_one).mul hc).mul hc).add hz
74
+ ((ExpSmall.bp_n (by norm_num)).mul (expO_const hz _))
75
+ refine ⟨δ,hd,?_⟩
76
+ filter_upwards [h.moment,h.durableS.mass.positive,h.durableS.shape,hq.secure.filter_mono h.timeL]
77
+ with n hn hN hA hB q d e x k
78
+ have hm := hn.1.law
79
+ rw [abs_of_nonneg (arena_pos _ _ _ _ _ hN hm)]
80
+ let u:=(s n).sap (w n)
81
+ refine (arena_bound (v n) x _ _ k hA.1 hm hN hB).trans ?_
82
+ have hμ i : 0≤u i := (LeafMixture.sapLaw hN hm).nz _
83
+ have hk i : u i ≤ C n*w n i := LeafMixture.upper_sap hm hN i
84
+ have hv (x:UnitType p n (N n) × UnitType p n (N n)) :
85
+ pairW u u x ≤ (C n*C n)*pairW (w n) (w n) x :=
86
+ (mul_le_mul (hk _) (hk _) (hμ _) ((hμ _).trans (hk _))).trans_eq (by unfold pairW; ring)
87
+ have hf : pr (pairW u u) (clash p (m n) (N n)) ≤
88
+ (C n*C n)*bp (-100*p.g * (z n)) := (pr_cap hv _).trans
89
+ (mul_le_mul_of_nonneg_left hn.2.2.2.le (mul_self_nonneg _))
90
+ unfold δ
91
+ rw [mul_comm _ 2]
92
+ refine add_le_add_left ((mul_le_mul_of_nonneg_left hf (bp_pos _).le).trans ?_) _
93
+ calc _ = (beamPrice p (N n) * bp (-100 * p.g * z n))*(C n*C n) := by unfold beamPrice N; ring
94
+ _ ≤ _ := (mul_le_mul_of_nonneg_right (beam_cost p (N n) ht.hG) (mul_self_nonneg _)).trans_eq
95
+ (by unfold z; rw [neg_one_mul,mul_assoc])
96
+
97
+ structure Align (b : PreparationParameters) (r : ℕ) (p : Shape) (M n : ℕ) (m : Mixer p n)
98
+ (u : Wgt (UnitType p n (M*n))) : Prop where
99
+ rum : binaryGood m
100
+ hymn : unaryGood m b.pins r
101
+ age : 2*p.r ≤ n
102
+ cols : 2*num (Full p n)<(M*n:ℕ)
103
+ drain : Template.drained m b.spJoint u
104
+
105
+ set_option maxHeartbeats 1200000 in
106
+ theorem veil.upright (h : veil p M b r l m s w) :
107
+ ∀ᶠ n in l,Align b r p M n (m n) ((s n).sap (w n)) := by
108
+ let z n:= ((M*n:ℕ):ℝ)
109
+ have ht := h.easel.enter.first
110
+ have hM : 1 ≤ (M:ℝ) := by exact_mod_cast ht.hM
111
+ let e : ℝ := 1/(128*M)
112
+ have he : 0< e:=by unfold e; positivity
113
+ have hz := (trend_sizes l h.timeL ht.hM).2
114
+ let D n:=((s n).amount (w n))⁻¹
115
+ filter_upwards [h.moment,h.durableS.mass.inv_cap e he,
116
+ h.durableS.mass.positive,expO_const hz b.L e he, ht.wrap.filter_mono h.timeL,
117
+ (eventually_ge_atTop (2*p.r)).filter_mono h.timeL] with n hn he' ht' hL hG hH
118
+ have hw := hn.1.law
119
+ have h1 (i) := LeafMixture.upper_sap hw ht' i
120
+ have h2 : 0≤D n := (inv_pos_of_pos ht').le
121
+ have hB : D n * b.L ≤ bp (1/32*(n:ℝ)) := by
122
+ have hi : e*z n=(1/128)*(n:ℝ) := by unfold e z; push_cast; field_simp
123
+ calc _ ≤ bp (e*z n)*bp (e*z n) :=
124
+ mul_le_mul ((le_abs_self _).trans he') ((le_abs_self _).trans hL) ht.early.hL
125
+ (bp_pos _).le
126
+ _ ≤ _ := by rw [←bp_add,hi]; apply bp_le; linarith [(Nat.cast_nonneg n :0≤(n:ℝ))]
127
+ have hv := LeafMixture.upperSide hn.1.border h1 h2 hB
128
+ refine ⟨hn.2.2.1,hn.2.1,hH,hG.1, LeafMixture.sapLaw ht' hw, hv true,hv false,fun i=>?_⟩
129
+ have hh := hn.1.total i
130
+ apply ((h1 i).trans (mul_le_mul_of_nonneg_left hh h2)).trans
131
+ rw [←mul_assoc]
132
+ refine mul_le_mul_of_nonneg_right ?_ (mul_nonneg (raw_nonneg ..) (raw_nonneg ..))
133
+ have hx : e ≤1 := by unfold e; exact (div_le_iff₀ (by positivity)).mpr (by linarith)
134
+ refine (mul_le_mul_of_nonneg_right ((le_abs_self _).trans he') (bp_pos _).le).trans ?_
135
+ rw [←bp_add]
136
+ unfold spJoint; refine bp_le ?_; rw [←add_mul]
137
+ exact mul_le_mul_of_nonneg_right (by linarith only [hx]) (by positivity)
138
+ end PreparationParameters
139
+ end HadwigerCounterexample
140
+
141
+ end
142
+
143
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AtomFlavors.lean CHANGED
@@ -1,148 +1,148 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
2
- import OAI.Combinatorics.HadwigerCounterexample.KeyDirections
3
- import OAI.Combinatorics.HadwigerCounterexample.SumRankBounds
4
-
5
- namespace OAI
6
-
7
- /-! # Atom Flavors -/
8
-
9
- noncomputable section
10
- namespace HadwigerCounterexample
11
- open Matrix LinearMap Finset Function
12
- open scoped BigOperators
13
- variable {g r n b : ℕ} {p : Shape}
14
-
15
- abbrev Flavor (g : ℕ) := Option (Option (Finset (Tag g × Tag g)))
16
- namespace Flavor
17
- abbrev full {g : ℕ} : Flavor g := none
18
- abbrev sharedOnly {g : ℕ} : Flavor g := some none
19
- abbrev pure {g : ℕ} (s : Finset (Tag g × Tag g)) : Flavor g := some (some s)
20
-
21
- def keeps (f : Flavor g) (x : Tag g) (y : Block g) : Prop :=
22
- match f,y with
23
- | none, .inl (i,_) => allowed i x
24
- | some none,.inl _ => False
25
- | some (some s),.inl (i,j) => allowed i x ∧ (i,j) ∈ s
26
- | some (some _), .inr v => v≠0
27
- | _, .inr _ => True
28
- instance (f : Flavor g) (x : Tag g) (y : Block g) : Decidable (keeps f x y) :=
29
- Classical.propDecidable _
30
-
31
- theorem keep_o {f : Flavor g} {x : Tag g} {i j}
32
- (h : keeps f x (Block.O i j)) : allowed i x := by
33
- rcases f with (_|_|_) <;> simp [keeps] at h
34
- · exact h
35
- exact h.1
36
-
37
- theorem keepZ (f : Flavor g) (x : Tag g) : keeps f x Block.Z := by
38
- rcases f with (_|_|_) <;> simp [keeps]
39
- theorem keepSharp (f : Flavor g) (x : Tag g) : keeps f x Block.sharp := by
40
- rcases f with (_|_|_) <;> simp [keeps]
41
-
42
- end Flavor
43
-
44
- abbrev Knobs (g n : ℕ) := Block g → Vec (Fin n)
45
-
46
- def lit (f : Flavor g) (x : Tag g) (y : Knobs g n) : Base g n :=
47
- fun i => if f.keeps x i.1 then y i.1 i.2 else 0
48
-
49
- theorem lit_allows (f : Flavor g) (x : Tag g) (y : Knobs g n) :
50
- allows x (lit f x y) :=
51
- fun _ _ h _ => ite_eq_right (fun g => h (Flavor.keep_o g))
52
-
53
- def useAtom (p : Shape) {n : ℕ} (x : Tag p.g) (s : Label p.b) (f : Flavor p.g)
54
- (y : Knobs p.g n) := atom p x s (lit f x y)
55
- theorem mem_useAtom (p : Shape) {n : ℕ} (x : Tag p.g) (s : Label p.b)
56
- (f : Flavor p.g) (y : Knobs p.g n) : useAtom p x s f y∈Xspace p n :=
57
- atom_mem s (lit_allows f x y)
58
-
59
- abbrev ProbeIdx (g : ℕ) := (Tag g × Tag g)⊕Unit
60
- abbrev Digest (g : ℕ) := Vec (ProbeIdx g)
61
-
62
- def asBlock (i : ProbeIdx g) : Block g := i.elim (fun q => Block.O q.1 q.2) (fun _ => Block.S)
63
- theorem asBlock_inj {g : ℕ} : Injective (@asBlock g) := by
64
- rintro (⟨i,j⟩|⟨⟩) (⟨k,l⟩|⟨⟩) e <;> simp_all [asBlock,Block.O,Block.S]
65
-
66
- def zget (y : Vec (Fin n)) (i : ℕ) := if h:i<n then y ⟨i,h⟩ else 0
67
- def tested (r : ℕ) (y : Vec (Fin n)) :=
68
- ∑ i : Fin r,zget y (2*i.val)*zget y (2*i.val+1)
69
-
70
- def scan (p : Shape) {n} (l : Tag p.g) (f : Flavor p.g) (x : Knobs p.g n) :
71
- Digest p.g :=
72
- fun i => if Flavor.keeps f l (asBlock i) then tested p.r (x (asBlock i)) else 0
73
-
74
- namespace Digest
75
- variable (q : Digest g)
76
-
77
- def feasible (l : Tag g) (f : Flavor g) := ∀ i,¬ Flavor.keeps f l (asBlock i) → q i=0
78
-
79
- def diagO := ∑ d : Tag g, ∑ t,q (.inl (d,t))
80
- def sumBit := q.diagO+q (.inr ())
81
-
82
- end Digest
83
-
84
- theorem scan_feasible (p : Shape) {n} (l) (f : Flavor p.g) (x : Knobs p.g n) :
85
- (scan p l f x).feasible l f := fun _ h => ite_eq_right h
86
-
87
- theorem scan_is (p : Shape) {n} (l) (s : Label p.b) (f : Flavor p.g) (x : Knobs p.g n)
88
- (i : ProbeIdx p.g) :
89
- scan p l f x i=etab p n (asBlock i) (mom p s (lit f l x)) := by
90
- classical
91
- rw [mom,etab_point]
92
- let d := asBlock i
93
- unfold scan
94
- split
95
- · rename_i he
96
- have hg j : readBit (lit f l x) d j=zget (x d) j := by
97
- by_cases h : j<n <;> simp [readBit,zget,h,lit,d,he]
98
- unfold tested test
99
- simp_rw [show ∀ j, readBit (lit f l x) (asBlock i) j=zget (x (asBlock i)) j from hg]
100
- rename_i he
101
- unfold test
102
- have hZ j :
103
- readBit (lit f l x) (asBlock i) j=0 := by
104
- by_cases h : j<n <;> simp [readBit,lit,h,he]
105
- simp_rw [hZ,zero_mul,Finset.sum_const_zero]
106
-
107
- theorem etaScan (p : Shape) {n} (l s f) (x : Knobs p.g n) :
108
- (scan p l f x).sumBit=eta p n (mom p s (lit f l x)) := by
109
- simp only [Digest.sumBit,Digest.diagO,eta,etaO,LinearMap.add_apply,LinearMap.sum_apply]
110
- simp_rw [scan_is p l s]
111
- rfl
112
-
113
- theorem role_scan (p : Shape) {n} (l s f) (x : Knobs p.g n) :
114
- role p n (useAtom p l s f x)=(scan p l f x).diagO := by
115
- unfold Digest.diagO useAtom atom
116
- let M := mom p s (lit f l x)
117
- have h (i : Tag p.g) :
118
- (Pi.single l M : Tag p.g → Moment p n) i∈Wtag p n i := by
119
- by_cases h : i=l
120
- · subst i; rw [Pi.single_eq_same]
121
- exact Submodule.subset_span ⟨_,_,lit_allows f l x,rfl⟩
122
- simp [h]
123
- rw [role_cut _ _ h,Finset.sum_eq_single l]
124
- · rw [Pi.single_eq_same,etaO,LinearMap.sum_apply]
125
- simp_rw [LinearMap.sum_apply,scan_is p l s]
126
- rfl
127
- · intro i _ hi; simp [hi]
128
- simp
129
-
130
- def dialed (p : Shape) {n} (l : Tag p.g) (f : Flavor p.g) (x : Knobs p.g n) :=
131
- (scan p l f x).sumBit
132
-
133
- def spins (p : Shape) (n : ℕ) : Wgt (Knobs p.g n) := draws (Block p.g) unif
134
-
135
- theorem spins_law (p : Shape) (n : ℕ) : IsLaw (spins p n) := draws_law unif_law
136
-
137
- /-- Projection notation for conditioning on a specified (possible)
138
- diagnostic or diagonal only. -/
139
- def scopedBit (p : Shape) (n : ℕ) (l : Tag p.g) (f : Flavor p.g) (q : F) :
140
- Wgt (Knobs p.g n) := onW (spins p n) (fun x => dialed p l f x=q)
141
- def scopedScan (p : Shape) (n : ℕ) (l : Tag p.g) (f : Flavor p.g) (z : Digest p.g) :
142
- Wgt (Knobs p.g n) := onW (spins p n) (fun x => scan p l f x=z)
143
-
144
- end HadwigerCounterexample
145
-
146
- end
147
-
148
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
2
+ import OAI.Combinatorics.HadwigerCounterexample.KeyDirections
3
+ import OAI.Combinatorics.HadwigerCounterexample.SumRankBounds
4
+
5
+ namespace OAI
6
+
7
+ /-! # Atom Flavors -/
8
+
9
+ noncomputable section
10
+ namespace HadwigerCounterexample
11
+ open Matrix LinearMap Finset Function
12
+ open scoped BigOperators
13
+ variable {g r n b : ℕ} {p : Shape}
14
+
15
+ abbrev Flavor (g : ℕ) := Option (Option (Finset (Tag g × Tag g)))
16
+ namespace Flavor
17
+ abbrev full {g : ℕ} : Flavor g := none
18
+ abbrev sharedOnly {g : ℕ} : Flavor g := some none
19
+ abbrev pure {g : ℕ} (s : Finset (Tag g × Tag g)) : Flavor g := some (some s)
20
+
21
+ def keeps (f : Flavor g) (x : Tag g) (y : Block g) : Prop :=
22
+ match f,y with
23
+ | none, .inl (i,_) => allowed i x
24
+ | some none,.inl _ => False
25
+ | some (some s),.inl (i,j) => allowed i x ∧ (i,j) ∈ s
26
+ | some (some _), .inr v => v≠0
27
+ | _, .inr _ => True
28
+ instance (f : Flavor g) (x : Tag g) (y : Block g) : Decidable (keeps f x y) :=
29
+ Classical.propDecidable _
30
+
31
+ theorem keep_o {f : Flavor g} {x : Tag g} {i j}
32
+ (h : keeps f x (Block.O i j)) : allowed i x := by
33
+ rcases f with (_|_|_) <;> simp [keeps] at h
34
+ · exact h
35
+ exact h.1
36
+
37
+ theorem keepZ (f : Flavor g) (x : Tag g) : keeps f x Block.Z := by
38
+ rcases f with (_|_|_) <;> simp [keeps]
39
+ theorem keepSharp (f : Flavor g) (x : Tag g) : keeps f x Block.sharp := by
40
+ rcases f with (_|_|_) <;> simp [keeps]
41
+
42
+ end Flavor
43
+
44
+ abbrev Knobs (g n : ℕ) := Block g → Vec (Fin n)
45
+
46
+ def lit (f : Flavor g) (x : Tag g) (y : Knobs g n) : Base g n :=
47
+ fun i => if f.keeps x i.1 then y i.1 i.2 else 0
48
+
49
+ theorem lit_allows (f : Flavor g) (x : Tag g) (y : Knobs g n) :
50
+ allows x (lit f x y) :=
51
+ fun _ _ h _ => ite_eq_right (fun g => h (Flavor.keep_o g))
52
+
53
+ def useAtom (p : Shape) {n : ℕ} (x : Tag p.g) (s : Label p.b) (f : Flavor p.g)
54
+ (y : Knobs p.g n) := atom p x s (lit f x y)
55
+ theorem mem_useAtom (p : Shape) {n : ℕ} (x : Tag p.g) (s : Label p.b)
56
+ (f : Flavor p.g) (y : Knobs p.g n) : useAtom p x s f y∈Xspace p n :=
57
+ atom_mem s (lit_allows f x y)
58
+
59
+ abbrev ProbeIdx (g : ℕ) := (Tag g × Tag g)⊕Unit
60
+ abbrev Digest (g : ℕ) := Vec (ProbeIdx g)
61
+
62
+ def asBlock (i : ProbeIdx g) : Block g := i.elim (fun q => Block.O q.1 q.2) (fun _ => Block.S)
63
+ theorem asBlock_inj {g : ℕ} : Injective (@asBlock g) := by
64
+ rintro (⟨i,j⟩|⟨⟩) (⟨k,l⟩|⟨⟩) e <;> simp_all [asBlock,Block.O,Block.S]
65
+
66
+ def zget (y : Vec (Fin n)) (i : ℕ) := if h:i<n then y ⟨i,h⟩ else 0
67
+ def tested (r : ℕ) (y : Vec (Fin n)) :=
68
+ ∑ i : Fin r,zget y (2*i.val)*zget y (2*i.val+1)
69
+
70
+ def scan (p : Shape) {n} (l : Tag p.g) (f : Flavor p.g) (x : Knobs p.g n) :
71
+ Digest p.g :=
72
+ fun i => if Flavor.keeps f l (asBlock i) then tested p.r (x (asBlock i)) else 0
73
+
74
+ namespace Digest
75
+ variable (q : Digest g)
76
+
77
+ def feasible (l : Tag g) (f : Flavor g) := ∀ i,¬ Flavor.keeps f l (asBlock i) → q i=0
78
+
79
+ def diagO := ∑ d : Tag g, ∑ t,q (.inl (d,t))
80
+ def sumBit := q.diagO+q (.inr ())
81
+
82
+ end Digest
83
+
84
+ theorem scan_feasible (p : Shape) {n} (l) (f : Flavor p.g) (x : Knobs p.g n) :
85
+ (scan p l f x).feasible l f := fun _ h => ite_eq_right h
86
+
87
+ theorem scan_is (p : Shape) {n} (l) (s : Label p.b) (f : Flavor p.g) (x : Knobs p.g n)
88
+ (i : ProbeIdx p.g) :
89
+ scan p l f x i=etab p n (asBlock i) (mom p s (lit f l x)) := by
90
+ classical
91
+ rw [mom,etab_point]
92
+ let d := asBlock i
93
+ unfold scan
94
+ split
95
+ · rename_i he
96
+ have hg j : readBit (lit f l x) d j=zget (x d) j := by
97
+ by_cases h : j<n <;> simp [readBit,zget,h,lit,d,he]
98
+ unfold tested test
99
+ simp_rw [show ∀ j, readBit (lit f l x) (asBlock i) j=zget (x (asBlock i)) j from hg]
100
+ rename_i he
101
+ unfold test
102
+ have hZ j :
103
+ readBit (lit f l x) (asBlock i) j=0 := by
104
+ by_cases h : j<n <;> simp [readBit,lit,h,he]
105
+ simp_rw [hZ,zero_mul,Finset.sum_const_zero]
106
+
107
+ theorem etaScan (p : Shape) {n} (l s f) (x : Knobs p.g n) :
108
+ (scan p l f x).sumBit=eta p n (mom p s (lit f l x)) := by
109
+ simp only [Digest.sumBit,Digest.diagO,eta,etaO,LinearMap.add_apply,LinearMap.sum_apply]
110
+ simp_rw [scan_is p l s]
111
+ rfl
112
+
113
+ theorem role_scan (p : Shape) {n} (l s f) (x : Knobs p.g n) :
114
+ role p n (useAtom p l s f x)=(scan p l f x).diagO := by
115
+ unfold Digest.diagO useAtom atom
116
+ let M := mom p s (lit f l x)
117
+ have h (i : Tag p.g) :
118
+ (Pi.single l M : Tag p.g → Moment p n) i∈Wtag p n i := by
119
+ by_cases h : i=l
120
+ · subst i; rw [Pi.single_eq_same]
121
+ exact Submodule.subset_span ⟨_,_,lit_allows f l x,rfl⟩
122
+ simp [h]
123
+ rw [role_cut _ _ h,Finset.sum_eq_single l]
124
+ · rw [Pi.single_eq_same,etaO,LinearMap.sum_apply]
125
+ simp_rw [LinearMap.sum_apply,scan_is p l s]
126
+ rfl
127
+ · intro i _ hi; simp [hi]
128
+ simp
129
+
130
+ def dialed (p : Shape) {n} (l : Tag p.g) (f : Flavor p.g) (x : Knobs p.g n) :=
131
+ (scan p l f x).sumBit
132
+
133
+ def spins (p : Shape) (n : ℕ) : Wgt (Knobs p.g n) := draws (Block p.g) unif
134
+
135
+ theorem spins_law (p : Shape) (n : ℕ) : IsLaw (spins p n) := draws_law unif_law
136
+
137
+ /-- Projection notation for conditioning on a specified (possible)
138
+ diagnostic or diagonal only. -/
139
+ def scopedBit (p : Shape) (n : ℕ) (l : Tag p.g) (f : Flavor p.g) (q : F) :
140
+ Wgt (Knobs p.g n) := onW (spins p n) (fun x => dialed p l f x=q)
141
+ def scopedScan (p : Shape) (n : ℕ) (l : Tag p.g) (f : Flavor p.g) (z : Digest p.g) :
142
+ Wgt (Knobs p.g n) := onW (spins p n) (fun x => scan p l f x=z)
143
+
144
+ end HadwigerCounterexample
145
+
146
+ end
147
+
148
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/AttackCutDecomposition.lean CHANGED
@@ -1,277 +1,277 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ResponseAnnihilators
2
-
3
- namespace OAI
4
-
5
- /-! # Attack Cut Decomposition -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Submodule LinearMap Module Finset
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ}
12
- variable {I J : Type} [Fintype I] [Fintype J]
13
-
14
- theorem colSp_kill (S : Space (Vec I)) (M : Mat I J) :
15
- colSp M ≤ annih S ↔ ∀ x∈S,Mᵀ *ᵥ x=0 := by
16
- constructor
17
- · intro h x hx
18
- refine dot_ext_zero fun y => ?_
19
- rw [dotProduct_transpose_mulVec,dotProduct_comm]
20
- exact (annih_mem ..).mp (h ⟨y,rfl⟩) x hx
21
- rintro h z ⟨y,rfl⟩
22
- rw [annih_mem]; intro x hx
23
- rw [dotProduct_comm,mulVecLin_apply,←dotProduct_transpose_mulVec,h x hx,dotProduct_zero]
24
-
25
- theorem box_kill {S : Space (Vec I)} {T : Space (Vec J)} {M : Mat I J} :
26
- M∈box (annih S) (annih T) ↔ (∀ x∈S,Mᵀ *ᵥ x=0) ∧ (∀ y ∈ T,M *ᵥ y=0) := by
27
- rw [box_mem,colSp_kill,colSp_kill,transpose_transpose]
28
-
29
- theorem orth_sub {f b : Plan p n} {x y : Xpair p n} {C : ChanOut p n} {j}
30
- (hx : orth p C f b j x) (hy : orth p C f b j y) : orth p C f b j (x-y) := by
31
- intro D hd A ha; rw [map_sub,hx _ hd _ ha,hy _ hd _ ha,sub_self]
32
-
33
- theorem orth_sum {f b : Plan p n} (x : I→Xpair p n) (c : I→F) {C : ChanOut p n} {j}
34
- (hx : ∀ i,orth p C f b j (x i)) : orth p C f b j (∑ i,c i • x i) := by
35
- intro D hd A ha
36
- rw [map_sum]
37
- refine Finset.sum_eq_zero fun i _ => ?_
38
- rw [map_smul,hx i _ hd _ ha,smul_zero]
39
-
40
- namespace Volley
41
- variable (v : Volley p n I)
42
-
43
- def strike (t : Tagging p I) (ht : v.legal t) (j : I) : Xpair p n :=
44
- Pi.single (v.obj j) (⟨v.atomAt t j,atom_mem _ (ht j)⟩ : Xspace p n)
45
-
46
- theorem strike_here (t : Tagging p I) (ht : v.legal t)
47
- (c : I → F) (i : Bool) :
48
- ((∑ j : I, c j • v.strike t ht j) i).val=∑ j∈v.here i,c j • v.atomAt t j := by
49
- classical
50
- rw [Finset.sum_apply]
51
- simp only [Submodule.coe_sum, Pi.smul_apply,Submodule.coe_smul,here,Finset.sum_filter]
52
- refine Finset.sum_congr rfl fun j _ => ?_
53
- by_cases h : v.obj j=i
54
- · simp only [ite_eq_left h]
55
- unfold strike
56
- rw [h,Pi.single_eq_same]
57
- simp [strike,h]
58
-
59
- omit [Fintype I] in
60
- theorem strike_pair (t : Tagging p I) (ht : v.legal t) (j : I) (e : Comp p.g) :
61
- purePair p n (v.strike t ht j) e=
62
- if inc e (t j) then vecMulVec (v.rayLoc j) (v.rayLoc j) else 0 := by
63
- classical
64
- simp only [purePair, Finset.sum_apply]
65
- rw [Finset.sum_eq_single (v.obj j)]
66
- · rw [strike,Pi.single_eq_same]
67
- change liftM _ _ (atom p _ _ _ e)=_
68
- rw [atom_def]; split
69
- · exact liftM_outer _ _ _ _
70
- rw [map_zero]
71
- · intro i _ hi; rw [strike,Pi.single_eq_of_ne hi]; exact map_zero _
72
- simp
73
-
74
- theorem strike_orth {a b : Plan p n} {C : ChanOut p n} {i : Bool}
75
- (t : Tagging p I) (ht : v.legal t) (j : I) :
76
- orth p C (v.frozen a t) b i (v.strike t ht j) := by
77
- intro D hd A ha
78
- change ∑ e, _ = _
79
- refine Finset.sum_eq_zero fun e _ => ?_
80
- rw [v.strike_pair]
81
- by_cases h : inc e (t j)
82
- · have hy (z) : v.rayLoc j ∈ (v.frozen a t (e,z)) :=
83
- Submodule.mem_sup_right (colSp_mem (P:=v.keyM t e) (⟨j,h⟩ : visits p t e))
84
- let V := v.rayLoc j
85
- have h1 : A e *ᵥ V=0 := (box_kill.mp ((pureSpace_mem _).mp ha e)).2 V (hy false)
86
- have h2 (z) : D (e,z) *ᵥ V=0 :=
87
- (box_kill.mp ((deltaSpace_mem _).mp hd _)).2 V (hy z)
88
- rw [ite_eq_left h,mpair_outer,evmat]
89
- change dotProduct V (((C (e,true))ᵀ * D (e,false)+
90
- (D (e,true))ᵀ * C (e,false)+A e) *ᵥ V)=_
91
- simp only [Matrix.add_mulVec, ← Matrix.mulVec_mulVec,h1,h2,mulVec_zero,
92
- dotProduct_zero,zero_add,add_zero,dotProduct_transpose_mulVec]
93
- rw [ite_eq_right h,map_zero]
94
- end Volley
95
-
96
- def labStruct (p : Shape) (n : ℕ) (M : Moment p n) (R : ℕ)
97
- (L : Finset (Label p.b)) (Z : Label p.b→BaseMat p n) :=
98
- M=labelSum p L Z ∧ L.card ≤ R ∧ (∀ s,s∉L → Z s=0) ∧
99
- ∀ s∈L,(Z s)ᵀ=Z s ∧ ∀ i,Z s i i=Z s none i
100
-
101
- private theorem struct_tri {M1 M2 M3 : Moment p n} {R : ℕ}
102
- {L1 L2 L3 : Finset (Label p.b)} {Z1 Z2 Z3 : Label p.b→BaseMat p n}
103
- (h1 : labStruct p n M1 R L1 Z1)
104
- (h2 : labStruct p n M2 R L2 Z2)
105
- (h3 : labStruct p n M3 R L3 Z3)
106
- (hr : 3*R≤p.j) (hm : M1+M2+M3=0) (s : Label p.b) :
107
- Z1 s+Z2 s+Z3 s=0 := by
108
- classical
109
- let W := L1∪L2∪L3
110
- have hs1 : L1⊆W := subset_trans subset_union_left subset_union_left
111
- have hs2 : L2⊆W := subset_trans subset_union_right subset_union_left
112
- have hs3 : L3⊆W := subset_union_right
113
- have hh : W.card ≤ p.j+1 :=
114
- (Finset.card_union_le (L1∪L2) L3).trans ((add_le_add
115
- ((Finset.card_union_le L1 L2).trans (add_le_add h1.2.1 h2.2.1)) h3.2.1).trans (by omega))
116
- by_cases hs : s∈W
117
- · have hv {M : Moment p n} {L Z} (h : labStruct p n M R L Z) (hL : L ⊆ W)
118
- (i j : AIdx p.g n) (r : SelIdx p.b p.j) :
119
- (∑ s∈W,Z s i j*monoBit s r.val) = M (r,i) (emptySel,j) := by
120
- rw [h.1,labelSum, Matrix.sum_apply,←Finset.sum_subset hL]
121
- · simp only [mput_apply,emptySel,monoBit,Finset.prod_empty,mul_one,mul_comm]
122
- intro y _ hy
123
- simp [h.2.2.1 y hy]
124
- ext i j
125
- refine selector_indep W (fun s => (Z1 s i j+Z2 s i j+Z3 s i j)) p.j hh ?_ s hs
126
- intro T hT
127
- let r : SelIdx p.b p.j := ⟨T,hT⟩
128
- simp only [add_mul,Finset.sum_add_distrib]
129
- rw [hv h1 hs1 i j r,hv h2 hs2 i j r,hv h3 hs3 i j r]
130
- exact congr_fun (congr_fun hm (r,i)) (emptySel,j)
131
- rw [h1.2.2.1 s (fun h => hs (hs1 h)), h2.2.2.1 s (fun h => hs (hs2 h)),
132
- h3.2.2.1 s (fun h => hs (hs3 h)), zero_add,zero_add]
133
-
134
- namespace Volley
135
- variable {v : Volley p n I}
136
-
137
- private theorem orth_structure {x : Xpair p n} {a b : Plan p n}
138
- {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
139
- (hb : v.bounded w) (ho : orth p C (v.frozen a t) b j x)
140
- (R : ℕ) (hr : 2*planRank a+28≤R) (hj : 6*R+4 ≤ p.j)
141
- (i : Bool) (e : Comp p.g) :
142
- ∃ L Z,labStruct p n ((x i).val e) R L Z := by
143
- classical
144
- have h (z) := v.frozen_here_dim hb a t i z
145
- have he : ((x i).val e).rank ≤ R :=
146
- (rank_vanish (vanish_one ho i e)).trans
147
- ((Nat.add_le_add (h (e,true)) (h (e,false))).trans (by omega))
148
- have hf : ((x i).val e)∈ Wspace p n := by
149
- obtain ⟨w,h,hx⟩ := mem_X.mp (x i).property
150
- rw [← hx]
151
- exact ((Wspace p n).add_mem ((Wtag_le _) (h e.val.1)) ((Wtag_le _) (h e.val.2)))
152
- obtain ⟨L,Z,hL,_,hZ,hA⟩ := label_support hf R hj he
153
- let g (s : Label p.b) := if s∈L then Z s else 0
154
- refine ⟨L,g,?_,hL,(fun s hs => ite_eq_right hs), fun s hs => ?_⟩
155
- · rw [hZ]
156
- exact Finset.sum_congr rfl fun s hs => by simp [g,hs]
157
- simp only [g,ite_eq_left hs]
158
- exact hA _ hs
159
-
160
- private theorem edge_at (l : Tag p.g) (e : Comp p.g) (h : inc e l) :
161
- ∃ (k : Tag p.g) (h : l≠k),e = edge l k h := by
162
- rcases e with ⟨⟨i,j⟩,hj⟩
163
- change i=l∨j=l at h
164
- rcases h with rfl|rfl
165
- · exact ⟨j,hj.ne,(edge_eq hj).symm⟩
166
- exact ⟨i,hj.ne.symm, by rw [edge_symm,edge_eq hj]⟩
167
-
168
- private theorem cut_tri {x : Profile p n} (hx : x∈Xspace p n)
169
- (l k j : Tag p.g) (h : l≠k) (h' : l ≠ j) (h'' : k≠j) :
170
- x (edge l k h)+x (edge l j h')+x (edge k j h'')=0 := by
171
- obtain ⟨w,hv,rfl⟩ := mem_X.mp hx
172
- rw [← getPair_edge l k h (cut p n w), ←getPair_edge l j h' (cut p n w), ←getPair_edge k j h'' (cut p n w),
173
- getPair_cut,getPair_cut,getPair_cut]
174
- have he (x y z : Moment p n) : x+y+(x+z)+(y+z)=0 := calc
175
- _ = (x+x)+(y+y)+(z+z) := by ac_rfl
176
- _ = _ := by simp only [char_two]
177
- exact he _ _ _
178
-
179
- private theorem structure_mark {x : Xpair p n} {a b : Plan p n}
180
- {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
181
- {q R : ℕ} (hb : v.bounded w) (ho : orth p C (v.frozen a t) b j x) (hv : v.avoids a q)
182
- (hr : 6*R+4≤p.j) (hq : R+14≤q)
183
- (l : I)
184
- {L : Comp p.g → Finset (Label p.b)} {Z : Comp p.g → Label p.b → BaseMat p n}
185
- (he : ∀ e,labStruct p n ((x (v.obj l)).val e) R (L e) (Z e)) :
186
- ∃ c : F, ∀ e,mput p (v.sel l) (Z e (v.sel l))=c • v.atomAt t l e := by
187
- classical
188
- let s := v.sel l
189
- let u := t l
190
- let M := vecMulVec (baseV (v.par l)) (baseV (v.par l))
191
- let coeff := fun e : Comp p.g => Z e s none none
192
- have h1 (e : Comp p.g) : Z e s= if inc e u then coeff e • M else 0 := by
193
- have ⟨hE,hL,hT,hH⟩ := he e
194
- exact mark_atom hb t hv l e _ (le_trans (Nat.add_le_add_right hL 14) hq)
195
- _ hT hH (hE ▸ vanish_one ho (v.obj l) e)
196
- have h2 (e f : Comp p.g) (h : inc e u) (h' : inc f u) :
197
- coeff e=coeff f := by
198
- by_cases hi : e=f
199
- · rw [hi]
200
- obtain ⟨k,hk,rfl⟩ := edge_at u e h
201
- obtain ⟨u2,hl,rfl⟩ := edge_at u f h'
202
- have hj : k ≠ u2 := by rintro rfl; exact hi rfl
203
- have hh := cut_tri (x (v.obj l)).property u k u2 hk hl hj
204
- have heq := struct_tri (he (edge u k hk)) (he (edge u u2 hl)) (he (edge k u2 hj))
205
- (by omega) hh s
206
- have hn : ¬ inc (edge k u2 hj) u := fun he => by
207
- rcases (inc_edge_iff _).mp he with h|h; exact hk h.symm; exact hl h.symm
208
- rw [h1 (edge k u2 hj), ite_eq_right hn,add_zero] at heq
209
- have h0 := congr_fun (congr_fun heq none) none
210
- change coeff _ + coeff _ = 0 at h0
211
- exact add_right_cancel (h0.trans (char_two _).symm)
212
- have h3 (e) : mput p s (Z e s)= coeff e • v.atomAt t l e := by
213
- rw [h1,atomAt,atom_def]
214
- by_cases hf : inc e u
215
- · rw [ite_eq_left hf,ite_eq_left hf,map_smul]
216
- change coeff e • liftM (labMat p n s) (labMat p n s) M=_
217
- unfold M
218
- rw [liftM_outer,labMat_act]; rfl
219
- rw [ite_eq_right hf,ite_eq_right hf,map_zero,smul_zero]
220
- by_cases hh : ∃ e,inc e u
221
- · obtain ⟨f,hf⟩ := hh
222
- refine ⟨coeff f,fun e => ?_⟩
223
- by_cases h : inc e u
224
- · exact (h3 e).trans (by rw [h2 e f h hf])
225
- refine (h3 e).trans ?_
226
- rw [atomAt,atom_def,ite_eq_right h,smul_zero,smul_zero]
227
- refine ⟨0,fun e => ?_��
228
- refine (h3 e).trans ?_
229
- rw [atomAt,atom_def,ite_eq_right (show ¬inc e u from fun he => hh ⟨e,he⟩),
230
- smul_zero,zero_smul]
231
-
232
- /-- a component uses at most R nonattack labels. -/
233
- def clean (v : Volley p n I) (i : Bool) (R : ℕ) (M : Moment p n) :=
234
- ∃ (L : Finset (Label p.b)) (Z : Label p.b → BaseMat p n),
235
- M=labelSum p L Z ∧ L.card≤R ∧ Disjoint L (v.marked i)
236
-
237
- theorem split_orth {x : Xpair p n} {a b : Plan p n}
238
- {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
239
- {q R : ℕ} (hb : v.bounded w) (ht : v.legal t)
240
- (ho : orth p C (v.frozen a t) b j x) (hv : v.avoids a q)
241
- (hr : 6*R+4≤p.j) (hr' : 2*planRank a+28≤R) (hq : R+14≤q) :
242
- ∃ (c : I → F) (y : Xpair p n), x=y+∑ i,c i • v.strike t ht i ∧
243
- orth p C (v.frozen a t) b j y ∧ ∀ i e,v.clean i R ((y i).val e) := by
244
- classical
245
- choose L Z hZ using orth_structure hb ho R hr' hr
246
- choose c hc using fun l => structure_mark hb ho hv hr hq l (hZ (v.obj l))
247
- let A := ∑ i,c i • v.strike t ht i
248
- refine ⟨c,x-A,(sub_add_cancel x A).symm,orth_sub ho (orth_sum _ _ (v.strike_orth t ht)),
249
- fun i e => ?_⟩
250
- obtain ⟨B,h1,hA,hv',h3⟩ := hv i
251
- let T := v.marked i
252
- have he : (A i).val e=labelSum p T (Z i e) := by
253
- rw [show (A i).val=_ from v.strike_here t ht c i, Finset.sum_apply]
254
- dsimp only [labelSum,T,marked]
255
- rw [Finset.sum_image h3]
256
- refine Finset.sum_congr rfl fun l hl => ?_
257
- have he : v.obj l=i := (mem_filter.mp hl).2
258
- exact (he ▸ hc l e).symm
259
- let W := L i e
260
- refine ⟨W \ T,Z i e,?_,(Finset.card_le_card sdiff_subset).trans (hZ i e).2.1, ?_⟩
261
- · change (x i).val e-(A i).val e=_
262
- rw [(hZ i e).1,he]
263
- have hz : labelSum p W (Z i e)=labelSum p (W∪T) (Z i e) := by
264
- refine Finset.sum_subset subset_union_left fun s _ hs => ?_
265
- rw [(hZ i e).2.2.1 s hs,map_zero]
266
- rw [hz]
267
- have hS : (W∪T)=(W \ T) ∪ T := by ext i; simp
268
- rw [hS,labelSum,Finset.sum_union (show Disjoint (W \ T) T from Disjoint.symm disjoint_sdiff)]
269
- exact add_sub_cancel_right _ _
270
- exact Disjoint.symm disjoint_sdiff
271
-
272
- end Volley
273
- end HadwigerCounterexample
274
-
275
- end
276
-
277
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ResponseAnnihilators
2
+
3
+ namespace OAI
4
+
5
+ /-! # Attack Cut Decomposition -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Submodule LinearMap Module Finset
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ}
12
+ variable {I J : Type} [Fintype I] [Fintype J]
13
+
14
+ theorem colSp_kill (S : Space (Vec I)) (M : Mat I J) :
15
+ colSp M ≤ annih S ↔ ∀ x∈S,Mᵀ *ᵥ x=0 := by
16
+ constructor
17
+ · intro h x hx
18
+ refine dot_ext_zero fun y => ?_
19
+ rw [dotProduct_transpose_mulVec,dotProduct_comm]
20
+ exact (annih_mem ..).mp (h ⟨y,rfl⟩) x hx
21
+ rintro h z ⟨y,rfl⟩
22
+ rw [annih_mem]; intro x hx
23
+ rw [dotProduct_comm,mulVecLin_apply,←dotProduct_transpose_mulVec,h x hx,dotProduct_zero]
24
+
25
+ theorem box_kill {S : Space (Vec I)} {T : Space (Vec J)} {M : Mat I J} :
26
+ M∈box (annih S) (annih T) ↔ (∀ x∈S,Mᵀ *ᵥ x=0) ∧ (∀ y ∈ T,M *ᵥ y=0) := by
27
+ rw [box_mem,colSp_kill,colSp_kill,transpose_transpose]
28
+
29
+ theorem orth_sub {f b : Plan p n} {x y : Xpair p n} {C : ChanOut p n} {j}
30
+ (hx : orth p C f b j x) (hy : orth p C f b j y) : orth p C f b j (x-y) := by
31
+ intro D hd A ha; rw [map_sub,hx _ hd _ ha,hy _ hd _ ha,sub_self]
32
+
33
+ theorem orth_sum {f b : Plan p n} (x : I→Xpair p n) (c : I→F) {C : ChanOut p n} {j}
34
+ (hx : ∀ i,orth p C f b j (x i)) : orth p C f b j (∑ i,c i • x i) := by
35
+ intro D hd A ha
36
+ rw [map_sum]
37
+ refine Finset.sum_eq_zero fun i _ => ?_
38
+ rw [map_smul,hx i _ hd _ ha,smul_zero]
39
+
40
+ namespace Volley
41
+ variable (v : Volley p n I)
42
+
43
+ def strike (t : Tagging p I) (ht : v.legal t) (j : I) : Xpair p n :=
44
+ Pi.single (v.obj j) (⟨v.atomAt t j,atom_mem _ (ht j)⟩ : Xspace p n)
45
+
46
+ theorem strike_here (t : Tagging p I) (ht : v.legal t)
47
+ (c : I → F) (i : Bool) :
48
+ ((∑ j : I, c j • v.strike t ht j) i).val=∑ j∈v.here i,c j • v.atomAt t j := by
49
+ classical
50
+ rw [Finset.sum_apply]
51
+ simp only [Submodule.coe_sum, Pi.smul_apply,Submodule.coe_smul,here,Finset.sum_filter]
52
+ refine Finset.sum_congr rfl fun j _ => ?_
53
+ by_cases h : v.obj j=i
54
+ · simp only [ite_eq_left h]
55
+ unfold strike
56
+ rw [h,Pi.single_eq_same]
57
+ simp [strike,h]
58
+
59
+ omit [Fintype I] in
60
+ theorem strike_pair (t : Tagging p I) (ht : v.legal t) (j : I) (e : Comp p.g) :
61
+ purePair p n (v.strike t ht j) e=
62
+ if inc e (t j) then vecMulVec (v.rayLoc j) (v.rayLoc j) else 0 := by
63
+ classical
64
+ simp only [purePair, Finset.sum_apply]
65
+ rw [Finset.sum_eq_single (v.obj j)]
66
+ · rw [strike,Pi.single_eq_same]
67
+ change liftM _ _ (atom p _ _ _ e)=_
68
+ rw [atom_def]; split
69
+ · exact liftM_outer _ _ _ _
70
+ rw [map_zero]
71
+ · intro i _ hi; rw [strike,Pi.single_eq_of_ne hi]; exact map_zero _
72
+ simp
73
+
74
+ theorem strike_orth {a b : Plan p n} {C : ChanOut p n} {i : Bool}
75
+ (t : Tagging p I) (ht : v.legal t) (j : I) :
76
+ orth p C (v.frozen a t) b i (v.strike t ht j) := by
77
+ intro D hd A ha
78
+ change ∑ e, _ = _
79
+ refine Finset.sum_eq_zero fun e _ => ?_
80
+ rw [v.strike_pair]
81
+ by_cases h : inc e (t j)
82
+ · have hy (z) : v.rayLoc j ∈ (v.frozen a t (e,z)) :=
83
+ Submodule.mem_sup_right (colSp_mem (P:=v.keyM t e) (⟨j,h⟩ : visits p t e))
84
+ let V := v.rayLoc j
85
+ have h1 : A e *ᵥ V=0 := (box_kill.mp ((pureSpace_mem _).mp ha e)).2 V (hy false)
86
+ have h2 (z) : D (e,z) *ᵥ V=0 :=
87
+ (box_kill.mp ((deltaSpace_mem _).mp hd _)).2 V (hy z)
88
+ rw [ite_eq_left h,mpair_outer,evmat]
89
+ change dotProduct V (((C (e,true))ᵀ * D (e,false)+
90
+ (D (e,true))ᵀ * C (e,false)+A e) *ᵥ V)=_
91
+ simp only [Matrix.add_mulVec, ← Matrix.mulVec_mulVec,h1,h2,mulVec_zero,
92
+ dotProduct_zero,zero_add,add_zero,dotProduct_transpose_mulVec]
93
+ rw [ite_eq_right h,map_zero]
94
+ end Volley
95
+
96
+ def labStruct (p : Shape) (n : ℕ) (M : Moment p n) (R : ℕ)
97
+ (L : Finset (Label p.b)) (Z : Label p.b→BaseMat p n) :=
98
+ M=labelSum p L Z ∧ L.card ≤ R ∧ (∀ s,s∉L → Z s=0) ∧
99
+ ∀ s∈L,(Z s)ᵀ=Z s ∧ ∀ i,Z s i i=Z s none i
100
+
101
+ private theorem struct_tri {M1 M2 M3 : Moment p n} {R : ℕ}
102
+ {L1 L2 L3 : Finset (Label p.b)} {Z1 Z2 Z3 : Label p.b→BaseMat p n}
103
+ (h1 : labStruct p n M1 R L1 Z1)
104
+ (h2 : labStruct p n M2 R L2 Z2)
105
+ (h3 : labStruct p n M3 R L3 Z3)
106
+ (hr : 3*R≤p.j) (hm : M1+M2+M3=0) (s : Label p.b) :
107
+ Z1 s+Z2 s+Z3 s=0 := by
108
+ classical
109
+ let W := L1∪L2∪L3
110
+ have hs1 : L1⊆W := subset_trans subset_union_left subset_union_left
111
+ have hs2 : L2⊆W := subset_trans subset_union_right subset_union_left
112
+ have hs3 : L3⊆W := subset_union_right
113
+ have hh : W.card ≤ p.j+1 :=
114
+ (Finset.card_union_le (L1∪L2) L3).trans ((add_le_add
115
+ ((Finset.card_union_le L1 L2).trans (add_le_add h1.2.1 h2.2.1)) h3.2.1).trans (by omega))
116
+ by_cases hs : s∈W
117
+ · have hv {M : Moment p n} {L Z} (h : labStruct p n M R L Z) (hL : L ⊆ W)
118
+ (i j : AIdx p.g n) (r : SelIdx p.b p.j) :
119
+ (∑ s∈W,Z s i j*monoBit s r.val) = M (r,i) (emptySel,j) := by
120
+ rw [h.1,labelSum, Matrix.sum_apply,←Finset.sum_subset hL]
121
+ · simp only [mput_apply,emptySel,monoBit,Finset.prod_empty,mul_one,mul_comm]
122
+ intro y _ hy
123
+ simp [h.2.2.1 y hy]
124
+ ext i j
125
+ refine selector_indep W (fun s => (Z1 s i j+Z2 s i j+Z3 s i j)) p.j hh ?_ s hs
126
+ intro T hT
127
+ let r : SelIdx p.b p.j := ⟨T,hT⟩
128
+ simp only [add_mul,Finset.sum_add_distrib]
129
+ rw [hv h1 hs1 i j r,hv h2 hs2 i j r,hv h3 hs3 i j r]
130
+ exact congr_fun (congr_fun hm (r,i)) (emptySel,j)
131
+ rw [h1.2.2.1 s (fun h => hs (hs1 h)), h2.2.2.1 s (fun h => hs (hs2 h)),
132
+ h3.2.2.1 s (fun h => hs (hs3 h)), zero_add,zero_add]
133
+
134
+ namespace Volley
135
+ variable {v : Volley p n I}
136
+
137
+ private theorem orth_structure {x : Xpair p n} {a b : Plan p n}
138
+ {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
139
+ (hb : v.bounded w) (ho : orth p C (v.frozen a t) b j x)
140
+ (R : ℕ) (hr : 2*planRank a+28≤R) (hj : 6*R+4 ≤ p.j)
141
+ (i : Bool) (e : Comp p.g) :
142
+ ∃ L Z,labStruct p n ((x i).val e) R L Z := by
143
+ classical
144
+ have h (z) := v.frozen_here_dim hb a t i z
145
+ have he : ((x i).val e).rank ≤ R :=
146
+ (rank_vanish (vanish_one ho i e)).trans
147
+ ((Nat.add_le_add (h (e,true)) (h (e,false))).trans (by omega))
148
+ have hf : ((x i).val e)∈ Wspace p n := by
149
+ obtain ⟨w,h,hx⟩ := mem_X.mp (x i).property
150
+ rw [← hx]
151
+ exact ((Wspace p n).add_mem ((Wtag_le _) (h e.val.1)) ((Wtag_le _) (h e.val.2)))
152
+ obtain ⟨L,Z,hL,_,hZ,hA⟩ := label_support hf R hj he
153
+ let g (s : Label p.b) := if s∈L then Z s else 0
154
+ refine ⟨L,g,?_,hL,(fun s hs => ite_eq_right hs), fun s hs => ?_⟩
155
+ · rw [hZ]
156
+ exact Finset.sum_congr rfl fun s hs => by simp [g,hs]
157
+ simp only [g,ite_eq_left hs]
158
+ exact hA _ hs
159
+
160
+ private theorem edge_at (l : Tag p.g) (e : Comp p.g) (h : inc e l) :
161
+ ∃ (k : Tag p.g) (h : l≠k),e = edge l k h := by
162
+ rcases e with ⟨⟨i,j⟩,hj⟩
163
+ change i=l∨j=l at h
164
+ rcases h with rfl|rfl
165
+ · exact ⟨j,hj.ne,(edge_eq hj).symm⟩
166
+ exact ⟨i,hj.ne.symm, by rw [edge_symm,edge_eq hj]⟩
167
+
168
+ private theorem cut_tri {x : Profile p n} (hx : x∈Xspace p n)
169
+ (l k j : Tag p.g) (h : l≠k) (h' : l ≠ j) (h'' : k≠j) :
170
+ x (edge l k h)+x (edge l j h')+x (edge k j h'')=0 := by
171
+ obtain ⟨w,hv,rfl⟩ := mem_X.mp hx
172
+ rw [← getPair_edge l k h (cut p n w), ←getPair_edge l j h' (cut p n w), ←getPair_edge k j h'' (cut p n w),
173
+ getPair_cut,getPair_cut,getPair_cut]
174
+ have he (x y z : Moment p n) : x+y+(x+z)+(y+z)=0 := calc
175
+ _ = (x+x)+(y+y)+(z+z) := by ac_rfl
176
+ _ = _ := by simp only [char_two]
177
+ exact he _ _ _
178
+
179
+ private theorem structure_mark {x : Xpair p n} {a b : Plan p n}
180
+ {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
181
+ {q R : ℕ} (hb : v.bounded w) (ho : orth p C (v.frozen a t) b j x) (hv : v.avoids a q)
182
+ (hr : 6*R+4≤p.j) (hq : R+14≤q)
183
+ (l : I)
184
+ {L : Comp p.g → Finset (Label p.b)} {Z : Comp p.g → Label p.b → BaseMat p n}
185
+ (he : ∀ e,labStruct p n ((x (v.obj l)).val e) R (L e) (Z e)) :
186
+ ∃ c : F, ∀ e,mput p (v.sel l) (Z e (v.sel l))=c • v.atomAt t l e := by
187
+ classical
188
+ let s := v.sel l
189
+ let u := t l
190
+ let M := vecMulVec (baseV (v.par l)) (baseV (v.par l))
191
+ let coeff := fun e : Comp p.g => Z e s none none
192
+ have h1 (e : Comp p.g) : Z e s= if inc e u then coeff e • M else 0 := by
193
+ have ⟨hE,hL,hT,hH⟩ := he e
194
+ exact mark_atom hb t hv l e _ (le_trans (Nat.add_le_add_right hL 14) hq)
195
+ _ hT hH (hE ▸ vanish_one ho (v.obj l) e)
196
+ have h2 (e f : Comp p.g) (h : inc e u) (h' : inc f u) :
197
+ coeff e=coeff f := by
198
+ by_cases hi : e=f
199
+ · rw [hi]
200
+ obtain ⟨k,hk,rfl⟩ := edge_at u e h
201
+ obtain ⟨u2,hl,rfl⟩ := edge_at u f h'
202
+ have hj : k ≠ u2 := by rintro rfl; exact hi rfl
203
+ have hh := cut_tri (x (v.obj l)).property u k u2 hk hl hj
204
+ have heq := struct_tri (he (edge u k hk)) (he (edge u u2 hl)) (he (edge k u2 hj))
205
+ (by omega) hh s
206
+ have hn : ¬ inc (edge k u2 hj) u := fun he => by
207
+ rcases (inc_edge_iff _).mp he with h|h; exact hk h.symm; exact hl h.symm
208
+ rw [h1 (edge k u2 hj), ite_eq_right hn,add_zero] at heq
209
+ have h0 := congr_fun (congr_fun heq none) none
210
+ change coeff _ + coeff _ = 0 at h0
211
+ exact add_right_cancel (h0.trans (char_two _).symm)
212
+ have h3 (e) : mput p s (Z e s)= coeff e • v.atomAt t l e := by
213
+ rw [h1,atomAt,atom_def]
214
+ by_cases hf : inc e u
215
+ · rw [ite_eq_left hf,ite_eq_left hf,map_smul]
216
+ change coeff e • liftM (labMat p n s) (labMat p n s) M=_
217
+ unfold M
218
+ rw [liftM_outer,labMat_act]; rfl
219
+ rw [ite_eq_right hf,ite_eq_right hf,map_zero,smul_zero]
220
+ by_cases hh : ∃ e,inc e u
221
+ · obtain ⟨f,hf⟩ := hh
222
+ refine ⟨coeff f,fun e => ?_⟩
223
+ by_cases h : inc e u
224
+ · exact (h3 e).trans (by rw [h2 e f h hf])
225
+ refine (h3 e).trans ?_
226
+ rw [atomAt,atom_def,ite_eq_right h,smul_zero,smul_zero]
227
+ refine ⟨0,fun e => ?_⟩
228
+ refine (h3 e).trans ?_
229
+ rw [atomAt,atom_def,ite_eq_right (show ¬inc e u from fun he => hh ⟨e,he⟩),
230
+ smul_zero,zero_smul]
231
+
232
+ /-- a component uses at most R nonattack labels. -/
233
+ def clean (v : Volley p n I) (i : Bool) (R : ℕ) (M : Moment p n) :=
234
+ ∃ (L : Finset (Label p.b)) (Z : Label p.b → BaseMat p n),
235
+ M=labelSum p L Z ∧ L.card≤R ∧ Disjoint L (v.marked i)
236
+
237
+ theorem split_orth {x : Xpair p n} {a b : Plan p n}
238
+ {C : ChanOut p n} {t : Tagging p I} {w : I→Bool} {j : Bool}
239
+ {q R : ℕ} (hb : v.bounded w) (ht : v.legal t)
240
+ (ho : orth p C (v.frozen a t) b j x) (hv : v.avoids a q)
241
+ (hr : 6*R+4≤p.j) (hr' : 2*planRank a+28≤R) (hq : R+14≤q) :
242
+ ∃ (c : I → F) (y : Xpair p n), x=y+∑ i,c i • v.strike t ht i ∧
243
+ orth p C (v.frozen a t) b j y ∧ ∀ i e,v.clean i R ((y i).val e) := by
244
+ classical
245
+ choose L Z hZ using orth_structure hb ho R hr' hr
246
+ choose c hc using fun l => structure_mark hb ho hv hr hq l (hZ (v.obj l))
247
+ let A := ∑ i,c i • v.strike t ht i
248
+ refine ⟨c,x-A,(sub_add_cancel x A).symm,orth_sub ho (orth_sum _ _ (v.strike_orth t ht)),
249
+ fun i e => ?_⟩
250
+ obtain ⟨B,h1,hA,hv',h3⟩ := hv i
251
+ let T := v.marked i
252
+ have he : (A i).val e=labelSum p T (Z i e) := by
253
+ rw [show (A i).val=_ from v.strike_here t ht c i, Finset.sum_apply]
254
+ dsimp only [labelSum,T,marked]
255
+ rw [Finset.sum_image h3]
256
+ refine Finset.sum_congr rfl fun l hl => ?_
257
+ have he : v.obj l=i := (mem_filter.mp hl).2
258
+ exact (he ▸ hc l e).symm
259
+ let W := L i e
260
+ refine ⟨W \ T,Z i e,?_,(Finset.card_le_card sdiff_subset).trans (hZ i e).2.1, ?_⟩
261
+ · change (x i).val e-(A i).val e=_
262
+ rw [(hZ i e).1,he]
263
+ have hz : labelSum p W (Z i e)=labelSum p (W∪T) (Z i e) := by
264
+ refine Finset.sum_subset subset_union_left fun s _ hs => ?_
265
+ rw [(hZ i e).2.2.1 s hs,map_zero]
266
+ rw [hz]
267
+ have hS : (W∪T)=(W \ T) ∪ T := by ext i; simp
268
+ rw [hS,labelSum,Finset.sum_union (show Disjoint (W \ T) T from Disjoint.symm disjoint_sdiff)]
269
+ exact add_sub_cancel_right _ _
270
+ exact Disjoint.symm disjoint_sdiff
271
+
272
+ end Volley
273
+ end HadwigerCounterexample
274
+
275
+ end
276
+
277
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BaselineExtension.lean CHANGED
@@ -1,124 +1,124 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PrimalChannelDecomposition
2
-
3
- namespace OAI
4
-
5
- /-! # Baseline Extension -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Submodule
10
-
11
- variable {p : Shape} {n : ℕ}
12
-
13
- theorem project_table (a : Plan p n) (z : Place p) (Q : Space (Dir p n))
14
- (hq : Q ≤ primal p n) (hd : Disjoint (tabSpace a z) Q) :
15
- ∃ B, ProjData (tabSpace a z) Q B ∧ ∀ x∈ primal p n, B*ᵥx∈prSmall a z := by
16
- classical
17
- let H := channels p n
18
- let A := primal p n
19
- let P := prSmall a z
20
- have hp : P≤ A := prSmall_le _ _
21
- have he : tabSpace a z=P ⊔ H := prSmall_table a z
22
- obtain ⟨X,hX⟩ := proj_exists H A channels_disjoint.symm
23
- have hj : Disjoint P (Q⊔H) := by
24
- rw [disjoint_iff_inf_le]
25
- rintro v ⟨hv,hv'⟩
26
- obtain ⟨y,hy,w,hw,g⟩ := Submodule.mem_sup.mp hv'
27
- have h := (show w=v-y by rw [←g]; abel) ▸
28
- A.sub_mem (hp hv) (hq hy)
29
- have hz : w∈ A ⊓ H := ⟨h,hw⟩
30
- rw [channels_disjoint.eq_bot] at hz
31
- have hi : w=0 := by simpa using hz
32
- rw [hi,add_zero] at g
33
- have ht : v∈tabSpace a z ⊓ Q :=
34
- ⟨he.symm ▸ Submodule.mem_sup_left hv,g ▸ hy⟩
35
- rwa [hd.eq_bot] at ht
36
- obtain ⟨Y,hY⟩ := proj_exists P (Q⊔H) hj
37
- refine ⟨X+Y,⟨fun x => ?_,fun x hx => ?_,fun x hx => ?_⟩, fun x hx => ?_⟩
38
- · rw [add_mulVec,he,add_comm]; exact add_mem_sup (hY.onto _) (hX.onto _)
39
- · rw [he] at hx
40
- obtain ⟨v,hv,w,hw,rfl⟩ := Submodule.mem_sup.mp hx
41
- rw [add_mulVec,mulVec_add,mulVec_add,hX.kills v (hp hv),hX.fixes _ hw,hY.fixes _ hv,
42
- hY.kills _ (Submodule.mem_sup_right hw),add_zero,zero_add,add_comm]
43
- · rw [add_mulVec,hX.kills x (hq hx),hY.kills x (Submodule.mem_sup_left hx),zero_add]
44
- · rw [add_mulVec,hX.kills x hx,zero_add]; exact hY.onto _
45
-
46
- abbrev CrossM (p : Shape) (n : ℕ) := Mat (JointIdx p n) (JointIdx p n)
47
-
48
- set_option maxHeartbeats 800000 in
49
- theorem base_pair (a b : Plan p n) (u v : Place p)
50
- (K J : Space (Dir p n)) (hk : K≤primal p n) (hj : J≤primal p n)
51
- (hK : Disjoint (tabSpace a u) K) (hJ : Disjoint (tabSpace b v) J)
52
- (A B : CrossM p n)
53
- (heq : ∀ x∈ tabSpace a u,∀ y∈tabSpace b v,x∈a u ∨ y∈b v → evmat A x y=evmat B x y) :
54
- ∃ M : CrossM p n,
55
- (∀ x∈tabSpace a u,∀ y∈tabSpace b v,evmat M x y=evmat B x y) ∧
56
- (∀ x y, x∈ (a u⊔K) ∨ y∈(b v⊔J) → evmat M x y=evmat A x y) ∧
57
- (∀ i,(Mᵀ*IP p n i).rank ≤ dim (a u⊔K : Submodule _ _) + dim (b v⊔J : Submodule _ _) +
58
- 2*planRank a) ∧
59
- (∀ i,(M*IP p n i).rank ≤ dim (a u⊔K : Submodule _ _) + dim (b v⊔J : Submodule _ _) +
60
- 2*planRank b) := by
61
- let P := a u⊔K
62
- let Q := b v⊔J
63
- obtain ⟨X,hX⟩ := proj_exists P ⊥ disjoint_bot_right
64
- obtain ⟨Y,hY⟩ := proj_exists Q ⊥ disjoint_bot_right
65
- obtain ⟨L,hL,gL⟩ := project_table a u K hk hK
66
- obtain ⟨R,hR,gR⟩ := project_table b v J hj hJ
67
- let C := pullM X (1:CrossM p n) A + pullM (1-X) Y A
68
- let M := C + pullM L R (B-C)
69
- have h1 (x y) (hx : x∈P ∨ y∈Q) : evmat C x y=evmat A x y := by
70
- rw [show C=_ from rfl,evmat_addM,evmat_pull,evmat_pull,sub_mulVec,Matrix.one_mulVec,
71
- Matrix.one_mulVec]
72
- rcases hx with h|h
73
- · rw [hX.fixes _ h,sub_self]; simp [evmat]
74
- rw [hY.fixes _ h]
75
- simp [evmat,sub_dotProduct]
76
- have h2 (x y) : evmat M x y=evmat C x y+
77
- (evmat B (L *ᵥ x) (R *ᵥ y)-evmat C (L*ᵥ x) (R*ᵥ y)) := by
78
- rw [show M=_ from rfl,evmat_addM,evmat_pull,evmat_subM]
79
- have hRank : C.rank≤dim P+dim Q := by
80
- apply (mrk_add_le ..).trans
81
- have hx : X.rank≤dim P := rank_maps _ hX.onto
82
- have hy : Y.rank≤dim Q := rank_maps _ hY.onto
83
- apply Nat.add_le_add
84
- · rw [pullM_def]
85
- refine ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_left ..)).trans ?_
86
- rwa [Matrix.rank_transpose]
87
- · rw [pullM_def]; exact (Matrix.rank_mul_le_right ..).trans hy
88
- have hr (i) {a : Plan p n} (u)
89
- (R : CrossM p n) (h : ∀ x∈primal p n,R*ᵥ x∈prSmall a u) :
90
- (R*IP p n i).rank≤ 2*planRank a := by
91
- apply le_trans (rank_maps (prSmall a u) _)
92
- (prSmall_dim a u)
93
- intro x
94
- rw [← Matrix.mulVec_mulVec]
95
- exact h _ (ip_le_primal i (show IP p n i*ᵥx∈colSp (IP p n i) from ⟨x,rfl⟩))
96
- refine ⟨M, fun x hx y hy => ?_, fun x y h => ?_, fun i => ?_, fun i => ?_⟩
97
- · rw [h2,hL.fixes x hx,hR.fixes y hy,add_sub_cancel]
98
- · have hi : L*ᵥ x ∈ a u ∨ R *ᵥ y ∈ b v := by
99
- rcases h with h|h
100
- · left; obtain ⟨x,hx,y,hy,rfl⟩ := Submodule.mem_sup.mp h
101
- rwa [Matrix.mulVec_add,hL.kills _ hy,hL.fixes _ (pin_le_table _ _ hx),add_zero]
102
- right; obtain ⟨x,hx,y,hy,rfl⟩ := Submodule.mem_sup.mp h
103
- rwa [Matrix.mulVec_add,hR.kills _ hy,hR.fixes _ (pin_le_table _ _ hx),add_zero]
104
- have he : L*ᵥx ∈ P ∨ R*ᵥy∈Q := hi.imp Submodule.mem_sup_left Submodule.mem_sup_left
105
- rw [h2,h1 _ _ h,h1 _ _ he,heq _ (hL.onto _) _ (hR.onto _) hi,sub_self,add_zero]
106
- · unfold M
107
- rw [transpose_add,Matrix.add_mul]
108
- refine (mrk_add_le ..).trans (Nat.add_le_add ?_ ?_)
109
- · exact (Matrix.rank_mul_le_left ..).trans ((Matrix.rank_transpose _).trans_le hRank)
110
- rw [pullM_def,transpose_mul,transpose_mul,transpose_transpose,Matrix.mul_assoc,
111
- Matrix.mul_assoc]
112
- exact ((Matrix.rank_mul_le_right ..).trans (Matrix.rank_mul_le_right ..)).trans (hr i u L gL)
113
- · unfold M
114
- rw [Matrix.add_mul]
115
- refine (mrk_add_le ..).trans (Nat.add_le_add ?_ ?_)
116
- · exact (Matrix.rank_mul_le_left ..).trans hRank
117
- rw [pullM_def,Matrix.mul_assoc]
118
- exact (Matrix.rank_mul_le_right ..).trans (hr i v R gR)
119
-
120
- end HadwigerCounterexample
121
-
122
- end
123
-
124
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PrimalChannelDecomposition
2
+
3
+ namespace OAI
4
+
5
+ /-! # Baseline Extension -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Submodule
10
+
11
+ variable {p : Shape} {n : ℕ}
12
+
13
+ theorem project_table (a : Plan p n) (z : Place p) (Q : Space (Dir p n))
14
+ (hq : Q ≤ primal p n) (hd : Disjoint (tabSpace a z) Q) :
15
+ ∃ B, ProjData (tabSpace a z) Q B ∧ ∀ x∈ primal p n, B*ᵥx∈prSmall a z := by
16
+ classical
17
+ let H := channels p n
18
+ let A := primal p n
19
+ let P := prSmall a z
20
+ have hp : P≤ A := prSmall_le _ _
21
+ have he : tabSpace a z=P ⊔ H := prSmall_table a z
22
+ obtain ⟨X,hX⟩ := proj_exists H A channels_disjoint.symm
23
+ have hj : Disjoint P (Q⊔H) := by
24
+ rw [disjoint_iff_inf_le]
25
+ rintro v ⟨hv,hv'⟩
26
+ obtain ⟨y,hy,w,hw,g⟩ := Submodule.mem_sup.mp hv'
27
+ have h := (show w=v-y by rw [←g]; abel) ▸
28
+ A.sub_mem (hp hv) (hq hy)
29
+ have hz : w∈ A ⊓ H := ⟨h,hw⟩
30
+ rw [channels_disjoint.eq_bot] at hz
31
+ have hi : w=0 := by simpa using hz
32
+ rw [hi,add_zero] at g
33
+ have ht : v∈tabSpace a z ⊓ Q :=
34
+ ⟨he.symm ▸ Submodule.mem_sup_left hv,g ▸ hy⟩
35
+ rwa [hd.eq_bot] at ht
36
+ obtain ⟨Y,hY⟩ := proj_exists P (Q⊔H) hj
37
+ refine ⟨X+Y,⟨fun x => ?_,fun x hx => ?_,fun x hx => ?_⟩, fun x hx => ?_⟩
38
+ · rw [add_mulVec,he,add_comm]; exact add_mem_sup (hY.onto _) (hX.onto _)
39
+ · rw [he] at hx
40
+ obtain ⟨v,hv,w,hw,rfl⟩ := Submodule.mem_sup.mp hx
41
+ rw [add_mulVec,mulVec_add,mulVec_add,hX.kills v (hp hv),hX.fixes _ hw,hY.fixes _ hv,
42
+ hY.kills _ (Submodule.mem_sup_right hw),add_zero,zero_add,add_comm]
43
+ · rw [add_mulVec,hX.kills x (hq hx),hY.kills x (Submodule.mem_sup_left hx),zero_add]
44
+ · rw [add_mulVec,hX.kills x hx,zero_add]; exact hY.onto _
45
+
46
+ abbrev CrossM (p : Shape) (n : ℕ) := Mat (JointIdx p n) (JointIdx p n)
47
+
48
+ set_option maxHeartbeats 800000 in
49
+ theorem base_pair (a b : Plan p n) (u v : Place p)
50
+ (K J : Space (Dir p n)) (hk : K≤primal p n) (hj : J≤primal p n)
51
+ (hK : Disjoint (tabSpace a u) K) (hJ : Disjoint (tabSpace b v) J)
52
+ (A B : CrossM p n)
53
+ (heq : ∀ x∈ tabSpace a u,∀ y∈tabSpace b v,x∈a u ∨ y∈b v → evmat A x y=evmat B x y) :
54
+ ∃ M : CrossM p n,
55
+ (∀ x∈tabSpace a u,∀ y∈tabSpace b v,evmat M x y=evmat B x y) ∧
56
+ (∀ x y, x∈ (a u⊔K) ∨ y∈(b v⊔J) → evmat M x y=evmat A x y) ∧
57
+ (∀ i,(Mᵀ*IP p n i).rank ≤ dim (a u⊔K : Submodule _ _) + dim (b v⊔J : Submodule _ _) +
58
+ 2*planRank a) ∧
59
+ (∀ i,(M*IP p n i).rank ≤ dim (a u⊔K : Submodule _ _) + dim (b v⊔J : Submodule _ _) +
60
+ 2*planRank b) := by
61
+ let P := a u⊔K
62
+ let Q := b v⊔J
63
+ obtain ⟨X,hX⟩ := proj_exists P ⊥ disjoint_bot_right
64
+ obtain ⟨Y,hY⟩ := proj_exists Q ⊥ disjoint_bot_right
65
+ obtain ⟨L,hL,gL⟩ := project_table a u K hk hK
66
+ obtain ⟨R,hR,gR⟩ := project_table b v J hj hJ
67
+ let C := pullM X (1:CrossM p n) A + pullM (1-X) Y A
68
+ let M := C + pullM L R (B-C)
69
+ have h1 (x y) (hx : x∈P ∨ y∈Q) : evmat C x y=evmat A x y := by
70
+ rw [show C=_ from rfl,evmat_addM,evmat_pull,evmat_pull,sub_mulVec,Matrix.one_mulVec,
71
+ Matrix.one_mulVec]
72
+ rcases hx with h|h
73
+ · rw [hX.fixes _ h,sub_self]; simp [evmat]
74
+ rw [hY.fixes _ h]
75
+ simp [evmat,sub_dotProduct]
76
+ have h2 (x y) : evmat M x y=evmat C x y+
77
+ (evmat B (L *ᵥ x) (R *ᵥ y)-evmat C (L*ᵥ x) (R*ᵥ y)) := by
78
+ rw [show M=_ from rfl,evmat_addM,evmat_pull,evmat_subM]
79
+ have hRank : C.rank≤dim P+dim Q := by
80
+ apply (mrk_add_le ..).trans
81
+ have hx : X.rank≤dim P := rank_maps _ hX.onto
82
+ have hy : Y.rank≤dim Q := rank_maps _ hY.onto
83
+ apply Nat.add_le_add
84
+ · rw [pullM_def]
85
+ refine ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_left ..)).trans ?_
86
+ rwa [Matrix.rank_transpose]
87
+ · rw [pullM_def]; exact (Matrix.rank_mul_le_right ..).trans hy
88
+ have hr (i) {a : Plan p n} (u)
89
+ (R : CrossM p n) (h : ∀ x∈primal p n,R*ᵥ x∈prSmall a u) :
90
+ (R*IP p n i).rank≤ 2*planRank a := by
91
+ apply le_trans (rank_maps (prSmall a u) _)
92
+ (prSmall_dim a u)
93
+ intro x
94
+ rw [← Matrix.mulVec_mulVec]
95
+ exact h _ (ip_le_primal i (show IP p n i*ᵥx∈colSp (IP p n i) from ⟨x,rfl⟩))
96
+ refine ⟨M, fun x hx y hy => ?_, fun x y h => ?_, fun i => ?_, fun i => ?_⟩
97
+ · rw [h2,hL.fixes x hx,hR.fixes y hy,add_sub_cancel]
98
+ · have hi : L*ᵥ x ∈ a u ∨ R *ᵥ y ∈ b v := by
99
+ rcases h with h|h
100
+ · left; obtain ⟨x,hx,y,hy,rfl⟩ := Submodule.mem_sup.mp h
101
+ rwa [Matrix.mulVec_add,hL.kills _ hy,hL.fixes _ (pin_le_table _ _ hx),add_zero]
102
+ right; obtain ⟨x,hx,y,hy,rfl⟩ := Submodule.mem_sup.mp h
103
+ rwa [Matrix.mulVec_add,hR.kills _ hy,hR.fixes _ (pin_le_table _ _ hx),add_zero]
104
+ have he : L*ᵥx ∈ P ∨ R*ᵥy∈Q := hi.imp Submodule.mem_sup_left Submodule.mem_sup_left
105
+ rw [h2,h1 _ _ h,h1 _ _ he,heq _ (hL.onto _) _ (hR.onto _) hi,sub_self,add_zero]
106
+ · unfold M
107
+ rw [transpose_add,Matrix.add_mul]
108
+ refine (mrk_add_le ..).trans (Nat.add_le_add ?_ ?_)
109
+ · exact (Matrix.rank_mul_le_left ..).trans ((Matrix.rank_transpose _).trans_le hRank)
110
+ rw [pullM_def,transpose_mul,transpose_mul,transpose_transpose,Matrix.mul_assoc,
111
+ Matrix.mul_assoc]
112
+ exact ((Matrix.rank_mul_le_right ..).trans (Matrix.rank_mul_le_right ..)).trans (hr i u L gL)
113
+ · unfold M
114
+ rw [Matrix.add_mul]
115
+ refine (mrk_add_le ..).trans (Nat.add_le_add ?_ ?_)
116
+ · exact (Matrix.rank_mul_le_left ..).trans hRank
117
+ rw [pullM_def,Matrix.mul_assoc]
118
+ exact (Matrix.rank_mul_le_right ..).trans (hr i v R gR)
119
+
120
+ end HadwigerCounterexample
121
+
122
+ end
123
+
124
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BaselineForms.lean CHANGED
@@ -1,147 +1,147 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BaselineExtension
2
-
3
- namespace OAI
4
-
5
- /-! # Baseline Forms -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
-
10
- open scoped BigOperators
11
- open Matrix
12
- variable {p : Shape} {n N : ℕ}
13
-
14
- def lowCross (K : ℕ) (B : Cross p n) :=
15
- ∀ z i,( (B z)ᵀ * IP p n i).rank ≤ K
16
-
17
- def fitsTable (a b : Plan p n) (B T : Cross p n) :=
18
- ∀ z, ∀ x∈tabSpace a z,∀ y∈tabSpace b (flipZ p z), evmat (B z) x y=evmat (T z) x y
19
-
20
- theorem fits_recip {B T : Cross p n} {a b : Plan p n} (h : fitsTable a b B T) :
21
- fitsTable b a (reciprocal p B) (reciprocal p T) := by
22
- intro z x hx y hy
23
- have hx' : x∈tabSpace b (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
24
- change evmat _ _ _=evmat _ _ _
25
- unfold reciprocal
26
- rw [evmat_transpose,evmat_transpose,h _ y hy x hx']
27
-
28
- def blin (K : ℕ) := 4*K+56
29
-
30
- set_option maxHeartbeats 800000 in
31
- theorem start_form (a b : Pin p n N) (x y : UnitType p n N) (T : Cross p n)
32
- (ka kb : Plan p n)
33
- (hA : ∀ z,ka z≤primal p n) (hB : ∀ z,kb z≤primal p n)
34
- (hd : ∀ z, Disjoint (tabSpace a.sp z) (ka z))
35
- (hd' : ∀ z, Disjoint (tabSpace b.sp z) (kb z))
36
- (ha : a.agree x) (hb : b.agree y) (h1 : tableFlag a b T x)
37
- (h2 : tableFlag b a (reciprocal p T) y)
38
- (K : ℕ) (hk : planRank a.sp ≤ K) (hk' : planRank b.sp ≤ K)
39
- (hv : ∀ z, dim (ka z) ≤ 28) (hv' : ∀ z, dim (kb z) ≤ 28) :
40
- ∃ M : Cross p n, fitsTable a.sp b.sp M T ∧
41
- rowAgree (a.sp ⊔ ka) M (actual p x y) ∧
42
- rowAgree (b.sp ⊔ kb) (reciprocal p M) (actual p y x) ∧
43
- lowCross (blin K) M ∧ lowCross (blin K) (reciprocal p M) := by
44
- let A := actual p x y
45
- have hh (z : Place p) (u v) (hu : u∈tabSpace a.sp z) (hv : v∈tabSpace b.sp (flipZ p z))
46
- (h : u∈a.sp z ∨ v∈b.sp (flipZ p z)) : evmat (A z) u v=evmat (T z) u v := by
47
- rcases h with h|h
48
- · have h' : u ∈ a.sp (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
49
- have he := h2 _ v hv u h'
50
- have hf := flag_actual (a:=b) y x ha (flipZ p z) v hv u h'
51
- have hg := hf.trans he.symm
52
- rw [← reciprocal_actual x y] at hg
53
- simp only [reciprocal,flipZ_flip,evmat_transpose] at hg
54
- exact hg
55
- exact (flag_actual (a:=a) x y hb _ u hu v h).trans (h1 _ u hu v h).symm
56
- choose M hC hD hE hF using fun z =>
57
- base_pair a.sp b.sp z (flipZ p z) (ka z) (kb (flipZ p z)) (hA _) (hB _) (hd _) (hd' _)
58
- (A z) (T z) (fun u hu v hv g => hh z u v hu hv g)
59
- have hr (z) {a s : Plan p n} (h : planRank a≤K) (hg : ∀ z,dim (s z)≤28) :
60
- dim (a z ⊔ s z : Submodule _ _) ≤ K+28 :=
61
- (Submodule.finrank_add_le_finrank_add_finrank ..).trans
62
- (Nat.add_le_add ((dim_le_plan a _).trans h) (hg _))
63
- have hm z {L} (hl : L≤K) : dim (a.sp z ⊔ ka z : Submodule _ _)+
64
- dim (b.sp (flipZ p z) ⊔ kb (flipZ p z):Submodule _ _)+2*L ≤ blin K := by
65
- apply le_trans (Nat.add_le_add (Nat.add_le_add (hr z hk hv) (hr _ hk' hv'))
66
- (Nat.mul_le_mul_left 2 hl))
67
- unfold blin; omega
68
- refine ⟨M,hC,(fun z u hu v => hD z u v (Or.inl hu)),?_,
69
- fun z i => (hE z i).trans (hm z hk),?_⟩
70
- · rw [← reciprocal_actual x y]
71
- intro z v hv u
72
- unfold reciprocal; rw [evmat_transpose,evmat_transpose]
73
- apply hD
74
- right
75
- rw [flipZ_flip]; exact hv
76
- intro z i
77
- unfold reciprocal; rw [transpose_transpose]
78
- exact (hF (flipZ p z) i).trans (hm _ hk')
79
-
80
- theorem channel_eval (p : Shape) {n} (M : Cross p n) (j : Bool) (z : Place p)
81
- (x : Dir p n) (y : Vec (Chan p)) :
82
- dotProduct y (channelOut p M j z *ᵥ x)=evmat (M z) x (IH p n j *ᵥ y) := by
83
- unfold channelOut evmat
84
- rw [dotProduct_transpose_mulVec, Matrix.mulVec_mulVec]
85
-
86
- theorem channel_same {M T : Cross p n} (i z u)
87
- (h : ∀ v : Vec (Chan p), evmat (M z) u (IH p n i *ᵥ v)=evmat (T z) u (IH p n i *ᵥ v)) :
88
- channelOut p M i z *ᵥ u = channelOut p T i z *ᵥ u := by
89
- classical
90
- funext j
91
- have he v : dotProduct v (channelOut p M i z *ᵥ u)=dotProduct v (channelOut p T i z*ᵥ u) := by
92
- rw [channel_eval, channel_eval, h]
93
- simpa using he (Pi.single j 1)
94
-
95
- theorem fits_channel {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
96
- (z : Place p) (x : Dir p n) (hx : x∈tabSpace a z) (j : Bool) :
97
- channelOut p M j z *ᵥ x = channelOut p T j z *ᵥ x := by
98
- apply channel_same j
99
- intro v
100
- exact h z x hx _ (channel_le_table b _ j ⟨_,rfl⟩)
101
-
102
- theorem fits_inj {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
103
- (ht : tableInj a b T) : tableInj a b M := by
104
- intro z i j v hv hh
105
- apply ht z i j v hv
106
- rwa [fits_channel h z _ (pin_le_table a z hv) j] at hh
107
-
108
- private theorem cout_ev (A B : Mat (Chan p) (JointIdx p n)) (x y) :
109
- evmat (Aᵀ*B) x y=dotProduct (A *ᵥ x) (B *ᵥ y) := by
110
- rw [evmat,← mulVec_mulVec,dotProduct_transpose_mulVec,dotProduct_comm]
111
-
112
- theorem fits_contract {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
113
- (i j : Bool) (x : Profile p n) (hx : x ∈ effective a i) :
114
- contract p M i j x=contract p T i j x := by
115
- change ∑ e : Comp p.g, _ = _
116
- refine Finset.sum_congr rfl fun e _ => ?_
117
- apply (box_eval_iff (tabSpace a (e,true)) (tabSpace a (e,false)) _ _).mp ?_ _
118
- · have hp := lift_mem_box (IP p n i) (IP p n i) ((effective_mem.mp hx).2 e)
119
- exact box_le (le_trans le_sup_left (half_le_table a _ i))
120
- (le_trans le_sup_left (half_le_table a _ i)) hp
121
- intro x hx y hy; rw [cout_ev, cout_ev,fits_channel h _ _ hx,fits_channel h _ _ hy]
122
-
123
- variable {I : Type} [Fintype I]
124
-
125
- theorem frozen_contract_key {M T : Cross p n} {a} (v : Volley p n I) (t : Tagging p I)
126
- (h : rowAgree (a⊔v.keyPlan t) M T) (i : I) (j : Bool) :
127
- contract p M (v.obj i) j (v.atomAt t i)=contract p T (v.obj i) j (v.atomAt t i) := by
128
- classical
129
- change ∑ e : Comp p.g, _ = _
130
- refine Finset.sum_congr rfl fun e _ => ?_
131
- by_cases he : inc e (t i)
132
- · have hx b :
133
- v.rayLoc i ∈ (v.keyPlan t (e,b)) := colSp_mem (P:=v.keyM t e)
134
- (⟨i,he⟩ : Volley.visits p t e)
135
- have hE (b : Bool) : channelOut p M j (e,b) *ᵥ v.rayLoc i =
136
- channelOut p T j (e,b) *ᵥ v.rayLoc i :=
137
- channel_same j _ _ (fun y => h _ _ (Submodule.mem_sup_right (hx b)) _)
138
- simp only [Volley.atomAt,atom_def,he, ite_true,mom,liftM_outer,mpair_outer]
139
- rw [cout_ev,cout_ev]
140
- exact congrArg₂ dotProduct (hE true) (hE false)
141
- simp only [Volley.atomAt,atom_def,he,ite_false,map_zero]
142
-
143
- end HadwigerCounterexample
144
-
145
- end
146
-
147
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BaselineExtension
2
+
3
+ namespace OAI
4
+
5
+ /-! # Baseline Forms -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+
10
+ open scoped BigOperators
11
+ open Matrix
12
+ variable {p : Shape} {n N : ℕ}
13
+
14
+ def lowCross (K : ℕ) (B : Cross p n) :=
15
+ ∀ z i,( (B z)ᵀ * IP p n i).rank ≤ K
16
+
17
+ def fitsTable (a b : Plan p n) (B T : Cross p n) :=
18
+ ∀ z, ∀ x∈tabSpace a z,∀ y∈tabSpace b (flipZ p z), evmat (B z) x y=evmat (T z) x y
19
+
20
+ theorem fits_recip {B T : Cross p n} {a b : Plan p n} (h : fitsTable a b B T) :
21
+ fitsTable b a (reciprocal p B) (reciprocal p T) := by
22
+ intro z x hx y hy
23
+ have hx' : x∈tabSpace b (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
24
+ change evmat _ _ _=evmat _ _ _
25
+ unfold reciprocal
26
+ rw [evmat_transpose,evmat_transpose,h _ y hy x hx']
27
+
28
+ def blin (K : ℕ) := 4*K+56
29
+
30
+ set_option maxHeartbeats 800000 in
31
+ theorem start_form (a b : Pin p n N) (x y : UnitType p n N) (T : Cross p n)
32
+ (ka kb : Plan p n)
33
+ (hA : ∀ z,ka z≤primal p n) (hB : ∀ z,kb z≤primal p n)
34
+ (hd : ∀ z, Disjoint (tabSpace a.sp z) (ka z))
35
+ (hd' : ∀ z, Disjoint (tabSpace b.sp z) (kb z))
36
+ (ha : a.agree x) (hb : b.agree y) (h1 : tableFlag a b T x)
37
+ (h2 : tableFlag b a (reciprocal p T) y)
38
+ (K : ℕ) (hk : planRank a.sp ≤ K) (hk' : planRank b.sp ≤ K)
39
+ (hv : ∀ z, dim (ka z) ≤ 28) (hv' : ∀ z, dim (kb z) ≤ 28) :
40
+ ∃ M : Cross p n, fitsTable a.sp b.sp M T ∧
41
+ rowAgree (a.sp ⊔ ka) M (actual p x y) ∧
42
+ rowAgree (b.sp ⊔ kb) (reciprocal p M) (actual p y x) ∧
43
+ lowCross (blin K) M ∧ lowCross (blin K) (reciprocal p M) := by
44
+ let A := actual p x y
45
+ have hh (z : Place p) (u v) (hu : u∈tabSpace a.sp z) (hv : v∈tabSpace b.sp (flipZ p z))
46
+ (h : u∈a.sp z ∨ v∈b.sp (flipZ p z)) : evmat (A z) u v=evmat (T z) u v := by
47
+ rcases h with h|h
48
+ · have h' : u ∈ a.sp (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
49
+ have he := h2 _ v hv u h'
50
+ have hf := flag_actual (a:=b) y x ha (flipZ p z) v hv u h'
51
+ have hg := hf.trans he.symm
52
+ rw [← reciprocal_actual x y] at hg
53
+ simp only [reciprocal,flipZ_flip,evmat_transpose] at hg
54
+ exact hg
55
+ exact (flag_actual (a:=a) x y hb _ u hu v h).trans (h1 _ u hu v h).symm
56
+ choose M hC hD hE hF using fun z =>
57
+ base_pair a.sp b.sp z (flipZ p z) (ka z) (kb (flipZ p z)) (hA _) (hB _) (hd _) (hd' _)
58
+ (A z) (T z) (fun u hu v hv g => hh z u v hu hv g)
59
+ have hr (z) {a s : Plan p n} (h : planRank a≤K) (hg : ∀ z,dim (s z)≤28) :
60
+ dim (a z ⊔ s z : Submodule _ _) ≤ K+28 :=
61
+ (Submodule.finrank_add_le_finrank_add_finrank ..).trans
62
+ (Nat.add_le_add ((dim_le_plan a _).trans h) (hg _))
63
+ have hm z {L} (hl : L≤K) : dim (a.sp z ⊔ ka z : Submodule _ _)+
64
+ dim (b.sp (flipZ p z) ⊔ kb (flipZ p z):Submodule _ _)+2*L ≤ blin K := by
65
+ apply le_trans (Nat.add_le_add (Nat.add_le_add (hr z hk hv) (hr _ hk' hv'))
66
+ (Nat.mul_le_mul_left 2 hl))
67
+ unfold blin; omega
68
+ refine ⟨M,hC,(fun z u hu v => hD z u v (Or.inl hu)),?_,
69
+ fun z i => (hE z i).trans (hm z hk),?_⟩
70
+ · rw [← reciprocal_actual x y]
71
+ intro z v hv u
72
+ unfold reciprocal; rw [evmat_transpose,evmat_transpose]
73
+ apply hD
74
+ right
75
+ rw [flipZ_flip]; exact hv
76
+ intro z i
77
+ unfold reciprocal; rw [transpose_transpose]
78
+ exact (hF (flipZ p z) i).trans (hm _ hk')
79
+
80
+ theorem channel_eval (p : Shape) {n} (M : Cross p n) (j : Bool) (z : Place p)
81
+ (x : Dir p n) (y : Vec (Chan p)) :
82
+ dotProduct y (channelOut p M j z *ᵥ x)=evmat (M z) x (IH p n j *ᵥ y) := by
83
+ unfold channelOut evmat
84
+ rw [dotProduct_transpose_mulVec, Matrix.mulVec_mulVec]
85
+
86
+ theorem channel_same {M T : Cross p n} (i z u)
87
+ (h : ∀ v : Vec (Chan p), evmat (M z) u (IH p n i *ᵥ v)=evmat (T z) u (IH p n i *ᵥ v)) :
88
+ channelOut p M i z *ᵥ u = channelOut p T i z *ᵥ u := by
89
+ classical
90
+ funext j
91
+ have he v : dotProduct v (channelOut p M i z *ᵥ u)=dotProduct v (channelOut p T i z*ᵥ u) := by
92
+ rw [channel_eval, channel_eval, h]
93
+ simpa using he (Pi.single j 1)
94
+
95
+ theorem fits_channel {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
96
+ (z : Place p) (x : Dir p n) (hx : x∈tabSpace a z) (j : Bool) :
97
+ channelOut p M j z *ᵥ x = channelOut p T j z *ᵥ x := by
98
+ apply channel_same j
99
+ intro v
100
+ exact h z x hx _ (channel_le_table b _ j ⟨_,rfl⟩)
101
+
102
+ theorem fits_inj {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
103
+ (ht : tableInj a b T) : tableInj a b M := by
104
+ intro z i j v hv hh
105
+ apply ht z i j v hv
106
+ rwa [fits_channel h z _ (pin_le_table a z hv) j] at hh
107
+
108
+ private theorem cout_ev (A B : Mat (Chan p) (JointIdx p n)) (x y) :
109
+ evmat (Aᵀ*B) x y=dotProduct (A *ᵥ x) (B *ᵥ y) := by
110
+ rw [evmat,← mulVec_mulVec,dotProduct_transpose_mulVec,dotProduct_comm]
111
+
112
+ theorem fits_contract {M T : Cross p n} {a b : Plan p n} (h : fitsTable a b M T)
113
+ (i j : Bool) (x : Profile p n) (hx : x ∈ effective a i) :
114
+ contract p M i j x=contract p T i j x := by
115
+ change ∑ e : Comp p.g, _ = _
116
+ refine Finset.sum_congr rfl fun e _ => ?_
117
+ apply (box_eval_iff (tabSpace a (e,true)) (tabSpace a (e,false)) _ _).mp ?_ _
118
+ · have hp := lift_mem_box (IP p n i) (IP p n i) ((effective_mem.mp hx).2 e)
119
+ exact box_le (le_trans le_sup_left (half_le_table a _ i))
120
+ (le_trans le_sup_left (half_le_table a _ i)) hp
121
+ intro x hx y hy; rw [cout_ev, cout_ev,fits_channel h _ _ hx,fits_channel h _ _ hy]
122
+
123
+ variable {I : Type} [Fintype I]
124
+
125
+ theorem frozen_contract_key {M T : Cross p n} {a} (v : Volley p n I) (t : Tagging p I)
126
+ (h : rowAgree (a⊔v.keyPlan t) M T) (i : I) (j : Bool) :
127
+ contract p M (v.obj i) j (v.atomAt t i)=contract p T (v.obj i) j (v.atomAt t i) := by
128
+ classical
129
+ change ∑ e : Comp p.g, _ = _
130
+ refine Finset.sum_congr rfl fun e _ => ?_
131
+ by_cases he : inc e (t i)
132
+ · have hx b :
133
+ v.rayLoc i ∈ (v.keyPlan t (e,b)) := colSp_mem (P:=v.keyM t e)
134
+ (⟨i,he⟩ : Volley.visits p t e)
135
+ have hE (b : Bool) : channelOut p M j (e,b) *ᵥ v.rayLoc i =
136
+ channelOut p T j (e,b) *ᵥ v.rayLoc i :=
137
+ channel_same j _ _ (fun y => h _ _ (Submodule.mem_sup_right (hx b)) _)
138
+ simp only [Volley.atomAt,atom_def,he, ite_true,mom,liftM_outer,mpair_outer]
139
+ rw [cout_ev,cout_ev]
140
+ exact congrArg₂ dotProduct (hE true) (hE false)
141
+ simp only [Volley.atomAt,atom_def,he,ite_false,map_zero]
142
+
143
+ end HadwigerCounterexample
144
+
145
+ end
146
+
147
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BasisConditioning.lean CHANGED
@@ -1,113 +1,113 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.OrientationRankBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Basis Conditioning -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Finset Filter Function
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
-
13
- theorem totalRank_pos {x : Profile p n} (h : x≠0) :
14
- 0<totalRank x := by
15
- obtain ⟨i,hi⟩ := Function.ne_iff.mp h
16
- apply lt_of_lt_of_le _ (Finset.single_le_sum (fun i _=>Nat.zero_le ((x i).rank))
17
- (Finset.mem_univ i))
18
- apply Nat.pos_of_ne_zero; intro h
19
- obtain ⟨A,B,hh⟩ := mul_factor (x i) 0 h.le
20
- apply hi; ext a b; rw [←hh,Matrix.mul_apply]; simp
21
-
22
- def glintRate (K : ℕ) := bp (-((K^2:ℕ):ℝ)-3)
23
-
24
- theorem glint_within {K d : ℕ} (h : d≤ K^2) :
25
- glintRate K ≤ (1/8:ℝ)*bp (- (d:ℝ)) := by
26
- unfold glintRate
27
- have hh : bp (-3)=1/8 := by norm_num [bp]
28
- rw [←hh,←bp_add]
29
- exact bp_le (by linarith only [(show (d:ℝ) ≤ ((K^2:ℕ):ℝ) from by exact_mod_cast h)])
30
-
31
- namespace Template
32
- variable (v : Solo p)
33
-
34
- def stains (m : Mixer p n) (f : Vec I →ₗ[F] Profile p n) (z : Knobs p.g n) : Vec I :=
35
- fun i=> Tsym m (f (Pi.single i 1)) (useAtom p (v.t ()) (v.s ()) (v.f ()) z)
36
- theorem staining (m : Mixer p n) (f : Vec I→ₗ[F] Profile p n) (z : Knobs p.g n) (i : Vec I) :
37
- vectorPhase i (stains v m f z)=shanty v m (f i) z := by
38
- classical
39
- let h := LinearMap.flip (Tsym m) (useAtom p (v.t ()) (v.s ()) (v.f ()) z) ∘ₗ f
40
- have ht : h i=h (∑ j: I,i j • (Pi.single j 1 : Vec I)) := by
41
- have he (j:I) : i j • (Pi.single j 1 : Vec I)=Pi.single j (i j) := by
42
- funext k; by_cases hh:k=j <;> simp [hh]
43
- simp_rw [he]
44
- rw [Finset.univ_sum_single]
45
- change wsign (∑ j:I,i j*h (Pi.single j 1))=wsign (h i)
46
- rw [ht,map_sum]; simp_rw [map_smul]; rfl
47
-
48
- def luminous (v : Solo p) (m : Mixer p n) (w : Wgt (Knobs p.g n)) (D : AtomKey (p:=p) (v.t ())
49
- N →Prop) (K : ℕ) (i : Orient p n N) :=
50
- let P := offBeat v D i
51
- 0<pr w P ∧ ∀ (d : ℕ), d≤ K^2 → ∀ f : Vec (Fin d)→ₗ[F] Profile p n,
52
- Injective f → (∀ x,totalRank (f x)≤K) → ∀ x,
53
- (7/8:ℝ)*bp (-(d:ℝ)) ≤ pr (onW w P) (fun z=> stains v m f z=x)
54
-
55
- set_option maxHeartbeats 800000 in
56
- theorem glow_luminous (v : Solo p) (m : Mixer p n) (w : Wgt (Knobs p.g n))
57
- (hw : IsLaw w)
58
- (S : AtomKey (p:=p) (v.t ()) N → Prop)
59
- (K : ℕ) (i : Orient p n N) (δ : ℝ) (hδ : 0<δ) (he : δ ≤ pr w (offBeat v S i))
60
- (h : ∀ x, 0<totalRank x → totalRank x≤K → ¬ glow v m w S (glintRate K) δ x i) :
61
- luminous v m w S K i := by
62
- classical
63
- let P := offBeat v S i
64
- have hP : 0<pr w P := hδ.trans_le he
65
- let u := onW w P; have hu : IsLaw u := on_law hw.nz hP
66
- refine ⟨hP,fun d hd f hf hg x => ?_⟩
67
- let s := stains v m f
68
- have heq :
69
- pr u (fun z => s z=x) = avg unif (fun i => vectorPhase i x*
70
- avg u (fun z => vectorPhase i (s z))) := by
71
- unfold pr
72
- simp_rw [vector_expand]
73
- rw [avg_avg]
74
- apply avg_congr
75
- intro i hi
76
- rw [avg_mul]; ring
77
- let b := bp (-(d:ℝ))
78
- let Q (k : Vec (Fin d)) := vectorPhase k x * avg u (fun z => vectorPhase k (s z))
79
- have hb : 0 < b := bp_pos _
80
- have hh k : ind (k=0)-b/8 ≤ Q k := by
81
- by_cases hk : k=0
82
- · subst k
83
- have hQ : Q 0=1 := by unfold Q; simp only [vectorPhase,zero_dotProduct,wsign_zero,one_mul,
84
- hu.avg_const]
85
- rw [ind_one (show (0:Vec (Fin d))=0 from rfl),hQ]; linarith
86
- let k' := f k
87
- have hT := h k' (totalRank_pos (hf.ne hk |>.trans_eq (map_zero f))) (hg k)
88
- have hz : |zsumPeak p w (v.shanty m k') P| ≤ (glintRate K)*pr w P :=
89
- le_of_lt (lt_of_not_ge (fun h => hT ⟨he,h⟩))
90
- have ht :
91
- avg u (fun z => vectorPhase k (s z))=
92
- zsumPeak p w (v.shanty m k') P/pr w P := by
93
- unfold s u onW; simp_rw [staining]; rw [avg_norm,subW_tot]
94
- congr 1; simp [zsumPeak,avg,subW,mul_assoc,k']
95
- have h1 : |Q k|≤b/8 := by
96
- unfold Q; rw [ht,abs_mul,vectorPhase,wsign_abs,one_mul,abs_div,abs_of_pos hP]
97
- refine le_trans ((div_le_iff₀ hP).mpr hz) ((glint_within hd).trans_eq (by unfold b; ring))
98
- rw [ind_zero hk,zero_sub]; exact (abs_le.mp h1).1
99
- have h0 : unif (0:Vec (Fin d))=b := by
100
- unfold b; rw [unif_apply,card_space,dim_vec,bp_neg,Fintype.card_fin]
101
- change _ ≤ pr u (fun z => s z=x)
102
- rw [heq]
103
- refine le_trans ?_ (avg_mono unif_law.nz hh)
104
- rw [avg_sub,unif_law.avg_const,
105
- show avg unif (fun i : Vec (Fin d)=> ind (i=0))=b from (pr_point' unif _).trans h0]
106
- change 7/8*b≤_
107
- linarith
108
- end Template
109
- end HadwigerCounterexample
110
-
111
- end
112
-
113
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.OrientationRankBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Basis Conditioning -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Finset Filter Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
+
13
+ theorem totalRank_pos {x : Profile p n} (h : x≠0) :
14
+ 0<totalRank x := by
15
+ obtain ⟨i,hi⟩ := Function.ne_iff.mp h
16
+ apply lt_of_lt_of_le _ (Finset.single_le_sum (fun i _=>Nat.zero_le ((x i).rank))
17
+ (Finset.mem_univ i))
18
+ apply Nat.pos_of_ne_zero; intro h
19
+ obtain ⟨A,B,hh⟩ := mul_factor (x i) 0 h.le
20
+ apply hi; ext a b; rw [←hh,Matrix.mul_apply]; simp
21
+
22
+ def glintRate (K : ℕ) := bp (-((K^2:ℕ):ℝ)-3)
23
+
24
+ theorem glint_within {K d : ℕ} (h : d≤ K^2) :
25
+ glintRate K ≤ (1/8:ℝ)*bp (- (d:ℝ)) := by
26
+ unfold glintRate
27
+ have hh : bp (-3)=1/8 := by norm_num [bp]
28
+ rw [←hh,←bp_add]
29
+ exact bp_le (by linarith only [(show (d:ℝ) ≤ ((K^2:ℕ):ℝ) from by exact_mod_cast h)])
30
+
31
+ namespace Template
32
+ variable (v : Solo p)
33
+
34
+ def stains (m : Mixer p n) (f : Vec I →ₗ[F] Profile p n) (z : Knobs p.g n) : Vec I :=
35
+ fun i=> Tsym m (f (Pi.single i 1)) (useAtom p (v.t ()) (v.s ()) (v.f ()) z)
36
+ theorem staining (m : Mixer p n) (f : Vec I→ₗ[F] Profile p n) (z : Knobs p.g n) (i : Vec I) :
37
+ vectorPhase i (stains v m f z)=shanty v m (f i) z := by
38
+ classical
39
+ let h := LinearMap.flip (Tsym m) (useAtom p (v.t ()) (v.s ()) (v.f ()) z) ∘ₗ f
40
+ have ht : h i=h (∑ j: I,i j • (Pi.single j 1 : Vec I)) := by
41
+ have he (j:I) : i j • (Pi.single j 1 : Vec I)=Pi.single j (i j) := by
42
+ funext k; by_cases hh:k=j <;> simp [hh]
43
+ simp_rw [he]
44
+ rw [Finset.univ_sum_single]
45
+ change wsign (∑ j:I,i j*h (Pi.single j 1))=wsign (h i)
46
+ rw [ht,map_sum]; simp_rw [map_smul]; rfl
47
+
48
+ def luminous (v : Solo p) (m : Mixer p n) (w : Wgt (Knobs p.g n)) (D : AtomKey (p:=p) (v.t ())
49
+ N →Prop) (K : ℕ) (i : Orient p n N) :=
50
+ let P := offBeat v D i
51
+ 0<pr w P ∧ ∀ (d : ℕ), d≤ K^2 → ∀ f : Vec (Fin d)→ₗ[F] Profile p n,
52
+ Injective f → (∀ x,totalRank (f x)≤K) → ∀ x,
53
+ (7/8:ℝ)*bp (-(d:ℝ)) ≤ pr (onW w P) (fun z=> stains v m f z=x)
54
+
55
+ set_option maxHeartbeats 800000 in
56
+ theorem glow_luminous (v : Solo p) (m : Mixer p n) (w : Wgt (Knobs p.g n))
57
+ (hw : IsLaw w)
58
+ (S : AtomKey (p:=p) (v.t ()) N → Prop)
59
+ (K : ℕ) (i : Orient p n N) (δ : ℝ) (hδ : 0<δ) (he : δ ≤ pr w (offBeat v S i))
60
+ (h : ∀ x, 0<totalRank x → totalRank x≤K → ¬ glow v m w S (glintRate K) δ x i) :
61
+ luminous v m w S K i := by
62
+ classical
63
+ let P := offBeat v S i
64
+ have hP : 0<pr w P := hδ.trans_le he
65
+ let u := onW w P; have hu : IsLaw u := on_law hw.nz hP
66
+ refine ⟨hP,fun d hd f hf hg x => ?_⟩
67
+ let s := stains v m f
68
+ have heq :
69
+ pr u (fun z => s z=x) = avg unif (fun i => vectorPhase i x*
70
+ avg u (fun z => vectorPhase i (s z))) := by
71
+ unfold pr
72
+ simp_rw [vector_expand]
73
+ rw [avg_avg]
74
+ apply avg_congr
75
+ intro i hi
76
+ rw [avg_mul]; ring
77
+ let b := bp (-(d:ℝ))
78
+ let Q (k : Vec (Fin d)) := vectorPhase k x * avg u (fun z => vectorPhase k (s z))
79
+ have hb : 0 < b := bp_pos _
80
+ have hh k : ind (k=0)-b/8 ≤ Q k := by
81
+ by_cases hk : k=0
82
+ · subst k
83
+ have hQ : Q 0=1 := by unfold Q; simp only [vectorPhase,zero_dotProduct,wsign_zero,one_mul,
84
+ hu.avg_const]
85
+ rw [ind_one (show (0:Vec (Fin d))=0 from rfl),hQ]; linarith
86
+ let k' := f k
87
+ have hT := h k' (totalRank_pos (hf.ne hk |>.trans_eq (map_zero f))) (hg k)
88
+ have hz : |zsumPeak p w (v.shanty m k') P| ≤ (glintRate K)*pr w P :=
89
+ le_of_lt (lt_of_not_ge (fun h => hT ⟨he,h⟩))
90
+ have ht :
91
+ avg u (fun z => vectorPhase k (s z))=
92
+ zsumPeak p w (v.shanty m k') P/pr w P := by
93
+ unfold s u onW; simp_rw [staining]; rw [avg_norm,subW_tot]
94
+ congr 1; simp [zsumPeak,avg,subW,mul_assoc,k']
95
+ have h1 : |Q k|≤b/8 := by
96
+ unfold Q; rw [ht,abs_mul,vectorPhase,wsign_abs,one_mul,abs_div,abs_of_pos hP]
97
+ refine le_trans ((div_le_iff₀ hP).mpr hz) ((glint_within hd).trans_eq (by unfold b; ring))
98
+ rw [ind_zero hk,zero_sub]; exact (abs_le.mp h1).1
99
+ have h0 : unif (0:Vec (Fin d))=b := by
100
+ unfold b; rw [unif_apply,card_space,dim_vec,bp_neg,Fintype.card_fin]
101
+ change _ ≤ pr u (fun z => s z=x)
102
+ rw [heq]
103
+ refine le_trans ?_ (avg_mono unif_law.nz hh)
104
+ rw [avg_sub,unif_law.avg_const,
105
+ show avg unif (fun i : Vec (Fin d)=> ind (i=0))=b from (pr_point' unif _).trans h0]
106
+ change 7/8*b≤_
107
+ linarith
108
+ end Template
109
+ end HadwigerCounterexample
110
+
111
+ end
112
+
113
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BatchCharacters.lean CHANGED
@@ -1,153 +1,153 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.CrossPatternCounting
2
-
3
- namespace OAI
4
-
5
- /-! # Batch Characters -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Module LinearMap Function Finset
11
- variable {I J A B : Type} [Fintype I] [Fintype J] [Fintype A] [Fintype B]
12
- variable [DecidableEq I] [DecidableEq J] [DecidableEq A] [DecidableEq B]
13
- variable {n N t : ℕ}
14
-
15
- def led (i : I) (x : Rack (I×J) N) := sectionR (fun j => (i,j)) x
16
- def relay (I J : Type) [Fintype I] [Fintype J] (N) :
17
- Rack (I×J) N ≃ (I → Rack J N) where
18
- toFun x i := led i x
19
- invFun x := (Matrix.of (fun i j => (x j.1).1 i j.2), Matrix.of (fun i j => (x j.1).2 i j.2))
20
- left_inv x := by apply Prod.ext <;> rfl
21
- right_inv x := funext fun _ => Prod.ext rfl rfl
22
-
23
- theorem led_uniform (F : Wgt (I→Rack J N)) :
24
- avg (unif : Wgt (Rack (I×J) N)) (fun x => F (fun i => led i x))=
25
- avg (draws I unif) F := by
26
- change avg unif (fun x => F (relay I J N x))=_
27
- rw [← mapW_avg,unif_equiv,← draws_unif]
28
-
29
- theorem led_piece (T : Finset I) (p : I→Rack J N→Prop) :
30
- avg unif (fun x => ∏ i∈T,ind (p i (led i x))) =
31
- ∏ i∈T,pr unif (p i) := by
32
- classical
33
- let F (i : I) (z) := if i∈T then ind (p i z) else 1
34
- let H : Wgt (I→ Rack J N) := prodW F
35
- have he x : (∏ i∈T,ind (p i (led i x))) = H (fun i => led i x) := by
36
- unfold H F prodW
37
- rw [← Finset.prod_filter]; simp
38
- have hf i : avg unif (F i) = if i∈T then pr unif (p i) else 1 := by
39
- by_cases hh : i∈T <;> simp [F,pr,hh,unif_law.avg_const]
40
- simp_rw [he]; rw [led_uniform]
41
- unfold H draws
42
- rw [prodW_avg]; simp_rw [hf]; rw [← Finset.prod_filter]; simp
43
-
44
- def heard (T : A → I×J) := Finset.univ.image (Prod.fst ∘ T)
45
-
46
- omit [Fintype I] [Fintype J] [DecidableEq A] in
47
- theorem heard_fresh {T : A→I × J} {i : I} (B : PlusRack A N) (h : i∉heard T) (j : J) (k) :
48
- upliftR T B k (i,j)=0 := by
49
- classical
50
- unfold upliftR
51
- rw [Matrix.mul_apply]
52
- refine Finset.sum_eq_zero fun x _ => ?_
53
- have he : (i,j)≠T x := fun e => h (mem_image.mpr
54
- ⟨x,mem_univ _, (congrArg Prod.fst e).symm⟩)
55
- simp [embedMat,he]
56
-
57
- omit [Fintype I] [Fintype J] [DecidableEq A] in
58
- private theorem led_off_r (x : Rack (I×J) N) {T : A→I×J} {i : I} (B : PlusRack A N)
59
- (h : i∉heard T) :
60
- led i (x+(0,upliftR T B)) = led i x := by
61
- apply Prod.ext
62
- · ext; simp [led,sectionR]
63
- ext
64
- simp only [led,sectionR,Prod.snd_add,Matrix.add_apply,Matrix.submatrix_apply,
65
- heard_fresh B h,add_zero]
66
-
67
- omit [Fintype I] [Fintype J] [DecidableEq A] in
68
- private theorem led_off_l (x : Rack (I×J) N) {T : A→I×J} {i : I} (B : PlusRack A N)
69
- (h : i∉heard T) :
70
- led i (x+(upliftR T B,0)) = led i x := by
71
- apply Prod.ext
72
- · ext
73
- simp only [led,sectionR,Prod.fst_add,Matrix.add_apply,Matrix.submatrix_apply,
74
- heard_fresh B h,add_zero]
75
- ext; simp [led,sectionR]
76
-
77
- def phot (P : I→Rack J N→Prop) (x : Rack (I×J) N) :=
78
- ∏ i:I,ind (P i (led i x))
79
-
80
- set_option maxHeartbeats 800000 in
81
- theorem light_bound (M : Avenue I J) (P : I→Rack J N→Prop) (u : ℝ) (hu : 0 ≤ u)
82
- (hp : ∀ i,bp (-u) ≤ pr unif (P i)) :
83
- |avg unif (fun x => phasedBy M x*phot P x)| ≤
84
- bp ((-(N:ℝ)/2+2*u)*(peak M:ℝ)) * ∏ i,pr unif (P i) := by
85
- classical
86
- obtain ⟨T,U,hTU,hA⟩ := real_peak M
87
- let t := peak M
88
- let L := heard T
89
- let R := heard U
90
- let D := L∪R
91
- let S := Finset.univ \ D
92
- have hd : Disjoint L R := by
93
- refine Finset.disjoint_left.mpr ?_
94
- intro x hx hy
95
- obtain ⟨i,_,rfl⟩ := Finset.mem_image.mp hx
96
- obtain ⟨j,_,he⟩ := Finset.mem_image.mp hy
97
- exact hTU i j he.symm
98
- let f (Z : Finset I) (x : Rack (I×J) N) := ∏ i∈Z,ind (P i (led i x))
99
- have hs (V : Finset I) x : |f V x|=f V x := abs_of_nonneg (Finset.prod_nonneg (fun i _ =>
100
- ind_nonneg _))
101
- have heq (V : Finset I) x : |f V x|≤1 := (hs V x).trans_le
102
- ((Finset.prod_le_prod₀ (fun _ _ => ind_nonneg _) (fun _ _ => ind_le_one _)).trans_eq (by simp))
103
- have h1 :
104
- (∏ i,pr unif (P i))=(∏ i∈D,pr unif (P i))*(∏ i∈S,pr unif (P i)) := by
105
- rw [←Finset.prod_union (show Disjoint D S from disjoint_sdiff),
106
- Finset.union_sdiff_of_subset (Finset.subset_univ D)]
107
- have hf x : phot P x=f L x*f R x*f S x := by
108
- unfold phot f
109
- rw [←Finset.prod_union hd,←Finset.prod_union (show Disjoint D S from disjoint_sdiff),
110
- Finset.union_sdiff_of_subset (Finset.subset_univ D)]
111
- have hl :
112
- |avg unif (fun x => phasedBy M x*phot P x)| ≤ bp (-(N:ℝ)*t/2) * avg unif (fun x => |f S x|) := by
113
- have he x : phasedBy M x*phot P x=phasedBy M x*f L x*f R x*f S x := by rw [hf]; ring
114
- simp_rw [he]
115
- rw [←show (M.submatrix T U).rank=t from
116
- (mrk_inj.mp hA).trans (Fintype.card_fin _)]
117
-
118
- refine layerLeak M (f L) (f R) (f S) T U (heq _) (heq _) (fun x y => ?_)
119
- (fun x y => ?_) (fun x y z => ?_)
120
- · refine Finset.prod_congr rfl fun i hi => ?_
121
- rw [led_off_r x y (fun h => Finset.disjoint_left.mp hd hi h)]
122
- · refine Finset.prod_congr rfl fun i hi => ?_
123
- rw [led_off_l x y (fun h => Finset.disjoint_left.mp hd h hi)]
124
- · refine Finset.prod_congr rfl fun i hi => ?_
125
- have hr := (Finset.mem_sdiff.mp hi).2
126
- rw [show x+(upliftR T y,upliftR U z)=x+(0,upliftR U z)+(upliftR T y,0) from
127
- by rw [add_assoc]; apply congrArg; apply Prod.ext <;> simp,
128
- led_off_l _ y (fun h => hr (mem_union_left _ h)),
129
- led_off_r _ z (fun h => hr (mem_union_right _ h))]
130
- apply hl.trans
131
- simp_rw [hs]
132
- rw [show avg unif (fun x => f S x)= _ from led_piece S P,h1,← mul_assoc]
133
- refine mul_le_mul_of_nonneg_right ?_ (Finset.prod_nonneg fun _ _ => pr_nonneg unif_law.nz)
134
- have hc : D.card ≤ 2*t := by
135
- apply le_trans (Finset.card_union_le ..)
136
- have hi (T : Fin t→ I × J) : (heard T).card≤t :=
137
- Finset.card_image_le.trans_eq (by simp)
138
- rw [two_mul]; exact add_le_add (hi T) (hi U)
139
- have hQ : bp (-u*(2*(t:ℝ))) ≤ ∏ i∈D,pr unif (P i) := by
140
- refine le_trans ?_ (Finset.prod_le_prod₀ (fun i _ => (bp_pos _).le) fun i _ => hp i)
141
- rw [Finset.prod_const,←bp_mul_nat]
142
- apply bp_le
143
- apply mul_le_mul_of_nonpos_left
144
- · exact_mod_cast hc
145
- exact neg_nonpos.mpr hu
146
- calc bp _
147
- _ = bp ((-(N:ℝ)/2+2*u)*(peak M:ℝ)) * bp (-u*(2*t)) := by rw [←bp_add]; congr 1; unfold t; ring
148
- _ ≤ _ := mul_le_mul_of_nonneg_left hQ (bp_pos _).le
149
- end HadwigerCounterexample
150
-
151
- end
152
-
153
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.CrossPatternCounting
2
+
3
+ namespace OAI
4
+
5
+ /-! # Batch Characters -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Module LinearMap Function Finset
11
+ variable {I J A B : Type} [Fintype I] [Fintype J] [Fintype A] [Fintype B]
12
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq A] [DecidableEq B]
13
+ variable {n N t : ℕ}
14
+
15
+ def led (i : I) (x : Rack (I×J) N) := sectionR (fun j => (i,j)) x
16
+ def relay (I J : Type) [Fintype I] [Fintype J] (N) :
17
+ Rack (I×J) N ≃ (I → Rack J N) where
18
+ toFun x i := led i x
19
+ invFun x := (Matrix.of (fun i j => (x j.1).1 i j.2), Matrix.of (fun i j => (x j.1).2 i j.2))
20
+ left_inv x := by apply Prod.ext <;> rfl
21
+ right_inv x := funext fun _ => Prod.ext rfl rfl
22
+
23
+ theorem led_uniform (F : Wgt (I→Rack J N)) :
24
+ avg (unif : Wgt (Rack (I×J) N)) (fun x => F (fun i => led i x))=
25
+ avg (draws I unif) F := by
26
+ change avg unif (fun x => F (relay I J N x))=_
27
+ rw [← mapW_avg,unif_equiv,← draws_unif]
28
+
29
+ theorem led_piece (T : Finset I) (p : I→Rack J N→Prop) :
30
+ avg unif (fun x => ∏ i∈T,ind (p i (led i x))) =
31
+ ∏ i∈T,pr unif (p i) := by
32
+ classical
33
+ let F (i : I) (z) := if i∈T then ind (p i z) else 1
34
+ let H : Wgt (I→ Rack J N) := prodW F
35
+ have he x : (∏ i∈T,ind (p i (led i x))) = H (fun i => led i x) := by
36
+ unfold H F prodW
37
+ rw [← Finset.prod_filter]; simp
38
+ have hf i : avg unif (F i) = if i∈T then pr unif (p i) else 1 := by
39
+ by_cases hh : i∈T <;> simp [F,pr,hh,unif_law.avg_const]
40
+ simp_rw [he]; rw [led_uniform]
41
+ unfold H draws
42
+ rw [prodW_avg]; simp_rw [hf]; rw [← Finset.prod_filter]; simp
43
+
44
+ def heard (T : A → I×J) := Finset.univ.image (Prod.fst ∘ T)
45
+
46
+ omit [Fintype I] [Fintype J] [DecidableEq A] in
47
+ theorem heard_fresh {T : A→I × J} {i : I} (B : PlusRack A N) (h : i∉heard T) (j : J) (k) :
48
+ upliftR T B k (i,j)=0 := by
49
+ classical
50
+ unfold upliftR
51
+ rw [Matrix.mul_apply]
52
+ refine Finset.sum_eq_zero fun x _ => ?_
53
+ have he : (i,j)≠T x := fun e => h (mem_image.mpr
54
+ ⟨x,mem_univ _, (congrArg Prod.fst e).symm⟩)
55
+ simp [embedMat,he]
56
+
57
+ omit [Fintype I] [Fintype J] [DecidableEq A] in
58
+ private theorem led_off_r (x : Rack (I×J) N) {T : A→I×J} {i : I} (B : PlusRack A N)
59
+ (h : i∉heard T) :
60
+ led i (x+(0,upliftR T B)) = led i x := by
61
+ apply Prod.ext
62
+ · ext; simp [led,sectionR]
63
+ ext
64
+ simp only [led,sectionR,Prod.snd_add,Matrix.add_apply,Matrix.submatrix_apply,
65
+ heard_fresh B h,add_zero]
66
+
67
+ omit [Fintype I] [Fintype J] [DecidableEq A] in
68
+ private theorem led_off_l (x : Rack (I×J) N) {T : A→I×J} {i : I} (B : PlusRack A N)
69
+ (h : i∉heard T) :
70
+ led i (x+(upliftR T B,0)) = led i x := by
71
+ apply Prod.ext
72
+ · ext
73
+ simp only [led,sectionR,Prod.fst_add,Matrix.add_apply,Matrix.submatrix_apply,
74
+ heard_fresh B h,add_zero]
75
+ ext; simp [led,sectionR]
76
+
77
+ def phot (P : I→Rack J N→Prop) (x : Rack (I×J) N) :=
78
+ ∏ i:I,ind (P i (led i x))
79
+
80
+ set_option maxHeartbeats 800000 in
81
+ theorem light_bound (M : Avenue I J) (P : I→Rack J N→Prop) (u : ℝ) (hu : 0 ≤ u)
82
+ (hp : ∀ i,bp (-u) ≤ pr unif (P i)) :
83
+ |avg unif (fun x => phasedBy M x*phot P x)| ≤
84
+ bp ((-(N:ℝ)/2+2*u)*(peak M:ℝ)) * ∏ i,pr unif (P i) := by
85
+ classical
86
+ obtain ⟨T,U,hTU,hA⟩ := real_peak M
87
+ let t := peak M
88
+ let L := heard T
89
+ let R := heard U
90
+ let D := L∪R
91
+ let S := Finset.univ \ D
92
+ have hd : Disjoint L R := by
93
+ refine Finset.disjoint_left.mpr ?_
94
+ intro x hx hy
95
+ obtain ⟨i,_,rfl⟩ := Finset.mem_image.mp hx
96
+ obtain ⟨j,_,he⟩ := Finset.mem_image.mp hy
97
+ exact hTU i j he.symm
98
+ let f (Z : Finset I) (x : Rack (I×J) N) := ∏ i∈Z,ind (P i (led i x))
99
+ have hs (V : Finset I) x : |f V x|=f V x := abs_of_nonneg (Finset.prod_nonneg (fun i _ =>
100
+ ind_nonneg _))
101
+ have heq (V : Finset I) x : |f V x|≤1 := (hs V x).trans_le
102
+ ((Finset.prod_le_prod₀ (fun _ _ => ind_nonneg _) (fun _ _ => ind_le_one _)).trans_eq (by simp))
103
+ have h1 :
104
+ (∏ i,pr unif (P i))=(∏ i∈D,pr unif (P i))*(∏ i∈S,pr unif (P i)) := by
105
+ rw [←Finset.prod_union (show Disjoint D S from disjoint_sdiff),
106
+ Finset.union_sdiff_of_subset (Finset.subset_univ D)]
107
+ have hf x : phot P x=f L x*f R x*f S x := by
108
+ unfold phot f
109
+ rw [←Finset.prod_union hd,←Finset.prod_union (show Disjoint D S from disjoint_sdiff),
110
+ Finset.union_sdiff_of_subset (Finset.subset_univ D)]
111
+ have hl :
112
+ |avg unif (fun x => phasedBy M x*phot P x)| ≤ bp (-(N:ℝ)*t/2) * avg unif (fun x => |f S x|) := by
113
+ have he x : phasedBy M x*phot P x=phasedBy M x*f L x*f R x*f S x := by rw [hf]; ring
114
+ simp_rw [he]
115
+ rw [←show (M.submatrix T U).rank=t from
116
+ (mrk_inj.mp hA).trans (Fintype.card_fin _)]
117
+
118
+ refine layerLeak M (f L) (f R) (f S) T U (heq _) (heq _) (fun x y => ?_)
119
+ (fun x y => ?_) (fun x y z => ?_)
120
+ · refine Finset.prod_congr rfl fun i hi => ?_
121
+ rw [led_off_r x y (fun h => Finset.disjoint_left.mp hd hi h)]
122
+ · refine Finset.prod_congr rfl fun i hi => ?_
123
+ rw [led_off_l x y (fun h => Finset.disjoint_left.mp hd h hi)]
124
+ · refine Finset.prod_congr rfl fun i hi => ?_
125
+ have hr := (Finset.mem_sdiff.mp hi).2
126
+ rw [show x+(upliftR T y,upliftR U z)=x+(0,upliftR U z)+(upliftR T y,0) from
127
+ by rw [add_assoc]; apply congrArg; apply Prod.ext <;> simp,
128
+ led_off_l _ y (fun h => hr (mem_union_left _ h)),
129
+ led_off_r _ z (fun h => hr (mem_union_right _ h))]
130
+ apply hl.trans
131
+ simp_rw [hs]
132
+ rw [show avg unif (fun x => f S x)= _ from led_piece S P,h1,← mul_assoc]
133
+ refine mul_le_mul_of_nonneg_right ?_ (Finset.prod_nonneg fun _ _ => pr_nonneg unif_law.nz)
134
+ have hc : D.card ≤ 2*t := by
135
+ apply le_trans (Finset.card_union_le ..)
136
+ have hi (T : Fin t→ I × J) : (heard T).card≤t :=
137
+ Finset.card_image_le.trans_eq (by simp)
138
+ rw [two_mul]; exact add_le_add (hi T) (hi U)
139
+ have hQ : bp (-u*(2*(t:ℝ))) ≤ ∏ i∈D,pr unif (P i) := by
140
+ refine le_trans ?_ (Finset.prod_le_prod₀ (fun i _ => (bp_pos _).le) fun i _ => hp i)
141
+ rw [Finset.prod_const,←bp_mul_nat]
142
+ apply bp_le
143
+ apply mul_le_mul_of_nonpos_left
144
+ · exact_mod_cast hc
145
+ exact neg_nonpos.mpr hu
146
+ calc bp _
147
+ _ = bp ((-(N:ℝ)/2+2*u)*(peak M:ℝ)) * bp (-u*(2*t)) := by rw [←bp_add]; congr 1; unfold t; ring
148
+ _ ≤ _ := mul_le_mul_of_nonneg_left hQ (bp_pos _).le
149
+ end HadwigerCounterexample
150
+
151
+ end
152
+
153
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BiasedRotationBounds.lean CHANGED
@@ -1,142 +1,142 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.OrthogonalSpectrumBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Biased Rotation Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Module Submodule Function LinearMap Filter Real
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ}
12
-
13
- set_option maxHeartbeats 1200000 in
14
- theorem spinning (p : Shape) (w : Wgt (Knobs p.g n))
15
- (f : Flit n→Wgt (Knobs p.g n)) (P : Knobs p.g n→Prop)
16
- (hw : IsLaw w) (hf : ∀ i j,|f i j|≤1) (h : flowZ p w)
17
- (b g δ : ℝ) (hb : 0≤b)
18
- (T : Space (Vec (Fin n))) (s l : ℕ) (hk : s<n)
19
- (hh : ∀ (c : Flit n) x i, |zchar p (f c) i x|≤b ∧
20
- (i∉ c.plume T → zchar p (f c) i x=0))
21
- (hδ : 0<δ) (ht : b*bp s < g) (hP : δ≤ pr w P)
22
- (hL : 1 < l * ((g-b*bp s)*δ)^2) :
23
- pr unif (fun c => g*pr w P ≤ |zsumPeak p w (f c) P|) ≤
24
- bp (1+((dim T:ℝ)+l*(dim T:ℝ)-n)*s) := by
25
- classical
26
- let M := g-b*bp s; have hM : 0<M := sub_pos.mpr ht
27
- let D c := g*pr w P ≤ |zsumPeak p w (f c) P|
28
- by_contra! H
29
- have progress (i : ℕ) (h' : i≤l) :
30
- ∃ (S : Space (Vec (Fin n))) (U : Wgt (Knobs p.g n)),
31
- zsafe p w U S ∧ dim S≤ i*dim T ∧ i*(M*δ) ≤ zsumPeak p w U P ∧
32
- avg w (fun x=>U x ^ 2) ≤ i := by
33
- induction i with
34
- | zero =>
35
- refine ⟨⊥,fun _=>0,?_,?_,?_,?_⟩
36
- · intro i t h; simp only [zero_mul,avg_zero]
37
- · simp [dim]
38
- · simp [zsumPeak,avg_zero]
39
- simp only [zero_pow (by decide : 2 ≠ 0),avg_zero,Nat.cast_zero,le_refl]
40
- | succ i ih =>
41
- obtain ⟨S,U,hS,hU,h1,h2⟩ := ih (by omega)
42
- let Q (c : Flit n) := s < dim (c.plume T ⊓ S : Space (Vec (Fin n)))
43
- have hh' : ∃ c : Flit n, D c ∧ ¬ Q c := by
44
- by_contra! hh
45
- have hz := (pr_mono unif_law.nz (fun c (h : D c) =>
46
- (hh c h).le)).trans (Move.plume_meets n s hk T S)
47
- have hy : (dim S:ℝ)≤ l*(dim T:ℝ) := by
48
- exact_mod_cast (hU.trans (Nat.mul_le_mul_right _ (by omega) : i*dim T ≤ l*dim T))
49
- apply (not_lt_of_ge (le_trans hz (bp_le ?_))) H
50
- nlinarith only [mul_le_mul_of_nonneg_right hy (Nat.cast_nonneg s : 0≤(s:ℝ))]
51
- obtain ⟨c,he,hc⟩ := hh'
52
- let W := c.plume T
53
- have hk : dim (S ⊓ W : Space (Vec (Fin n))) ≤ s := by
54
- have hh : dim (W⊓S : Space (Vec (Fin n))) ≤ s := le_of_not_gt hc
55
- rw [inf_comm]; exact hh
56
- obtain ⟨t,a,ha,hA,hy,hz⟩ := clear_band p w (f c) P hw (hf c) h b g hb he S W s hk (hh c)
57
- let Z i := a*zim p (f c) t i
58
- let C i := U i+Z i
59
- have hQ : avg w (fun i=>U i * Z i)=0 := by
60
- have he := hS (f c) t (fun i hi => (hA i hi).1)
61
- unfold Z; simp_rw [mul_left_comm _ a,avg_mul',he,mul_zero]
62
- refine ⟨S ⊔ W,C,?_,?_,?_,?_⟩
63
- · intro i s hh
64
- have hL := zsplit_orth p (f c) i w h t s (Finset.disjoint_left.mpr (fun j hj he =>
65
- hh j he ((show W≤S⊔W from le_sup_right) (hA j hj).2)))
66
- have he := hS i s (fun j hj h => hh j hj ((show S≤S⊔W from le_sup_left) h))
67
- unfold C Z; simp only [add_mul,mul_assoc,avg_add,avg_mul',he,hL,mul_zero,add_zero]
68
- · have h := Submodule.finrank_add_le_finrank_add_finrank S W
69
- refine le_trans h ?_
70
- change dim S+dim W≤_
71
- unfold W; rw [Move.plume_dim c T,Nat.add_mul,one_mul]
72
- omega
73
- · unfold zsumPeak C; simp_rw [mul_add,avg_add]
74
- change _≤zsumPeak p w U P+zsumPeak p w Z P
75
- change M*pr w P ≤ zsumPeak p w Z P at hy
76
- push_cast
77
- nlinarith only [h1,hy,mul_le_mul_of_nonneg_left hP hM.le]
78
- · have hh (i) : C i^2=U i^2+Z i^2+2*(U i*Z i) := by unfold C; ring
79
- simp_rw [hh,avg_add,avg_mul',hQ,mul_zero,add_zero]
80
- exact (add_le_add h2 hz).trans_eq (by push_cast; rfl)
81
- obtain ⟨S,U,_,_,hu,hq⟩ := progress l (le_refl _)
82
- have hh : ↑l * (M*δ) ≤ zsumPeak p w U P := hu
83
- have hx :
84
- zsumPeak p w U P ^2 ≤ l := by
85
- apply (avg_CS hw.nz (fun i=>ind (P i)) U).trans
86
- have hz (i : Knobs p.g n) : ind (P i)^2 ≤ 1 :=
87
- calc ind (P i)^2 ≤ 1^2 := pow_le_pow_left₀ (ind_nonneg _) (ind_le_one _) _
88
- _ = _ := one_pow _
89
- exact (mul_le_mul (hw.avg_le hz) hq (avg_nonneg hw.nz (fun _ => sq_nonneg _))
90
- zero_le_one).trans_eq (one_mul _)
91
- have hy := pow_le_pow_left₀ (by positivity) hh 2
92
- change 1<↑l*(M*δ)^2 at hL
93
- have hl : 0<l := by
94
- by_contra! he
95
- obtain rfl : l=0 := by omega
96
- norm_num at hL
97
- nlinarith only [hx,hy,mul_lt_mul_of_pos_left hL
98
- (Nat.cast_pos.mpr hl : (0:ℝ) < l)]
99
-
100
- namespace Template
101
- variable {K s A : ℕ}
102
- theorem rotor_levels (v : Solo p) (K s a : ℕ)
103
- (hs : 2*a<s) (hg : Odd p.g)
104
- (δ g : ℝ) (hδ : 0<δ)
105
- (hG : bp (-((p.J-s:ℕ):ℝ))*bp s < g) :
106
- ∀ᶠ n : ℕ in atTop, ∀ m : Mixer p n, unaryGood m K s →
107
- ∀ x : Profile p n, 0<totalRank x → totalRank x ≤ K →
108
- ∀ w : Wgt (Knobs p.g n), IsLaw w → flowZ p w →
109
- ∀ P : Knobs p.g n → Prop, δ ≤ pr w P →
110
- pr unif (fun c => g*pr w P ≤|zsumPeak p w (v.rotor c m x) P|) ≤ bp (-(2*a:ℝ)*n) := by
111
- classical
112
- let b := bp (-((p.J-s:ℕ):ℝ))
113
- have hb : b*bp s<g := hG
114
- let t := ((g-b*bp s)*δ)^2
115
- have ht : 0<t := by apply pow_pos (mul_pos (sub_pos.mpr hb) hδ)
116
- obtain ⟨l,hl⟩ := exists_nat_gt (1/t)
117
- let d := 2*(p.J*(p.g-1)*(2*K))
118
- have ha : 0<(s:ℝ)-2*a := sub_pos.mpr (by exact_mod_cast hs)
119
- have hz : Tendsto (fun n:ℕ => (↑s-2*a:ℝ)*n) atTop atTop :=
120
- (tendsto_const_mul_atTop_of_pos ha).mpr tendsto_natCast_atTop_atTop
121
- filter_upwards [eventually_gt_atTop s,hz.eventually (eventually_ge_atTop
122
- (1+((d:ℝ)+l*d)*s))] with n hn hN m hm x hx hK w hw hh P hP
123
- have he := spinning p w (fun c=>v.rotor c m x) P hw (by
124
- intro i j; unfold rotor Move.zreroute shanty; rw [wsign_abs]) hh b g δ
125
- (bp_pos _).le _ s l hn (fun c y i => v.rotor_budget c m x K s hg hm hK hx y i)
126
- hδ hb hP ((div_lt_iff₀ ht).mp hl)
127
- apply he.trans
128
- apply bp_le
129
- have hy :
130
- dim (v.scroll m x) ≤ d :=
131
- (scroll_dim v m x).trans (by unfold d; gcongr)
132
- have hx : ((dim (v.scroll m x)):ℝ) ≤ d := by exact_mod_cast hy
133
- change 1+((d:ℝ)+l*d)*s≤ ((s:ℝ)-2*a)*n at hN
134
- have hB := mul_le_mul_of_nonneg_left hx (Nat.cast_nonneg l : 0≤(l:ℝ))
135
- nlinarith only [mul_le_mul_of_nonneg_right (add_le_add hx hB)
136
- (Nat.cast_nonneg s : 0≤(s:ℝ)),hN]
137
- end Template
138
- end HadwigerCounterexample
139
-
140
- end
141
-
142
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.OrthogonalSpectrumBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Biased Rotation Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Module Submodule Function LinearMap Filter Real
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ}
12
+
13
+ set_option maxHeartbeats 1200000 in
14
+ theorem spinning (p : Shape) (w : Wgt (Knobs p.g n))
15
+ (f : Flit n→Wgt (Knobs p.g n)) (P : Knobs p.g n→Prop)
16
+ (hw : IsLaw w) (hf : ∀ i j,|f i j|≤1) (h : flowZ p w)
17
+ (b g δ : ℝ) (hb : 0≤b)
18
+ (T : Space (Vec (Fin n))) (s l : ℕ) (hk : s<n)
19
+ (hh : ∀ (c : Flit n) x i, |zchar p (f c) i x|≤b ∧
20
+ (i∉ c.plume T → zchar p (f c) i x=0))
21
+ (hδ : 0<δ) (ht : b*bp s < g) (hP : δ≤ pr w P)
22
+ (hL : 1 < l * ((g-b*bp s)*δ)^2) :
23
+ pr unif (fun c => g*pr w P ≤ |zsumPeak p w (f c) P|) ≤
24
+ bp (1+((dim T:ℝ)+l*(dim T:ℝ)-n)*s) := by
25
+ classical
26
+ let M := g-b*bp s; have hM : 0<M := sub_pos.mpr ht
27
+ let D c := g*pr w P ≤ |zsumPeak p w (f c) P|
28
+ by_contra! H
29
+ have progress (i : ℕ) (h' : i≤l) :
30
+ ∃ (S : Space (Vec (Fin n))) (U : Wgt (Knobs p.g n)),
31
+ zsafe p w U S ∧ dim S≤ i*dim T ∧ i*(M*δ) ≤ zsumPeak p w U P ∧
32
+ avg w (fun x=>U x ^ 2) ≤ i := by
33
+ induction i with
34
+ | zero =>
35
+ refine ⟨⊥,fun _=>0,?_,?_,?_,?_⟩
36
+ · intro i t h; simp only [zero_mul,avg_zero]
37
+ · simp [dim]
38
+ · simp [zsumPeak,avg_zero]
39
+ simp only [zero_pow (by decide : 2 ≠ 0),avg_zero,Nat.cast_zero,le_refl]
40
+ | succ i ih =>
41
+ obtain ⟨S,U,hS,hU,h1,h2⟩ := ih (by omega)
42
+ let Q (c : Flit n) := s < dim (c.plume T ⊓ S : Space (Vec (Fin n)))
43
+ have hh' : ∃ c : Flit n, D c ∧ ¬ Q c := by
44
+ by_contra! hh
45
+ have hz := (pr_mono unif_law.nz (fun c (h : D c) =>
46
+ (hh c h).le)).trans (Move.plume_meets n s hk T S)
47
+ have hy : (dim S:ℝ)≤ l*(dim T:ℝ) := by
48
+ exact_mod_cast (hU.trans (Nat.mul_le_mul_right _ (by omega) : i*dim T ≤ l*dim T))
49
+ apply (not_lt_of_ge (le_trans hz (bp_le ?_))) H
50
+ nlinarith only [mul_le_mul_of_nonneg_right hy (Nat.cast_nonneg s : 0≤(s:ℝ))]
51
+ obtain ⟨c,he,hc⟩ := hh'
52
+ let W := c.plume T
53
+ have hk : dim (S ⊓ W : Space (Vec (Fin n))) ≤ s := by
54
+ have hh : dim (W⊓S : Space (Vec (Fin n))) ≤ s := le_of_not_gt hc
55
+ rw [inf_comm]; exact hh
56
+ obtain ⟨t,a,ha,hA,hy,hz⟩ := clear_band p w (f c) P hw (hf c) h b g hb he S W s hk (hh c)
57
+ let Z i := a*zim p (f c) t i
58
+ let C i := U i+Z i
59
+ have hQ : avg w (fun i=>U i * Z i)=0 := by
60
+ have he := hS (f c) t (fun i hi => (hA i hi).1)
61
+ unfold Z; simp_rw [mul_left_comm _ a,avg_mul',he,mul_zero]
62
+ refine ⟨S ⊔ W,C,?_,?_,?_,?_⟩
63
+ · intro i s hh
64
+ have hL := zsplit_orth p (f c) i w h t s (Finset.disjoint_left.mpr (fun j hj he =>
65
+ hh j he ((show W≤S⊔W from le_sup_right) (hA j hj).2)))
66
+ have he := hS i s (fun j hj h => hh j hj ((show S≤S⊔W from le_sup_left) h))
67
+ unfold C Z; simp only [add_mul,mul_assoc,avg_add,avg_mul',he,hL,mul_zero,add_zero]
68
+ · have h := Submodule.finrank_add_le_finrank_add_finrank S W
69
+ refine le_trans h ?_
70
+ change dim S+dim W≤_
71
+ unfold W; rw [Move.plume_dim c T,Nat.add_mul,one_mul]
72
+ omega
73
+ · unfold zsumPeak C; simp_rw [mul_add,avg_add]
74
+ change _≤zsumPeak p w U P+zsumPeak p w Z P
75
+ change M*pr w P ≤ zsumPeak p w Z P at hy
76
+ push_cast
77
+ nlinarith only [h1,hy,mul_le_mul_of_nonneg_left hP hM.le]
78
+ · have hh (i) : C i^2=U i^2+Z i^2+2*(U i*Z i) := by unfold C; ring
79
+ simp_rw [hh,avg_add,avg_mul',hQ,mul_zero,add_zero]
80
+ exact (add_le_add h2 hz).trans_eq (by push_cast; rfl)
81
+ obtain ⟨S,U,_,_,hu,hq⟩ := progress l (le_refl _)
82
+ have hh : ↑l * (M*δ) ≤ zsumPeak p w U P := hu
83
+ have hx :
84
+ zsumPeak p w U P ^2 ≤ l := by
85
+ apply (avg_CS hw.nz (fun i=>ind (P i)) U).trans
86
+ have hz (i : Knobs p.g n) : ind (P i)^2 ≤ 1 :=
87
+ calc ind (P i)^2 ≤ 1^2 := pow_le_pow_left₀ (ind_nonneg _) (ind_le_one _) _
88
+ _ = _ := one_pow _
89
+ exact (mul_le_mul (hw.avg_le hz) hq (avg_nonneg hw.nz (fun _ => sq_nonneg _))
90
+ zero_le_one).trans_eq (one_mul _)
91
+ have hy := pow_le_pow_left₀ (by positivity) hh 2
92
+ change 1<↑l*(M*δ)^2 at hL
93
+ have hl : 0<l := by
94
+ by_contra! he
95
+ obtain rfl : l=0 := by omega
96
+ norm_num at hL
97
+ nlinarith only [hx,hy,mul_lt_mul_of_pos_left hL
98
+ (Nat.cast_pos.mpr hl : (0:ℝ) < l)]
99
+
100
+ namespace Template
101
+ variable {K s A : ℕ}
102
+ theorem rotor_levels (v : Solo p) (K s a : ℕ)
103
+ (hs : 2*a<s) (hg : Odd p.g)
104
+ (δ g : ℝ) (hδ : 0<δ)
105
+ (hG : bp (-((p.J-s:ℕ):ℝ))*bp s < g) :
106
+ ∀ᶠ n : ℕ in atTop, ∀ m : Mixer p n, unaryGood m K s →
107
+ ∀ x : Profile p n, 0<totalRank x → totalRank x ≤ K →
108
+ ∀ w : Wgt (Knobs p.g n), IsLaw w → flowZ p w →
109
+ ∀ P : Knobs p.g n → Prop, δ ≤ pr w P →
110
+ pr unif (fun c => g*pr w P ≤|zsumPeak p w (v.rotor c m x) P|) ≤ bp (-(2*a:ℝ)*n) := by
111
+ classical
112
+ let b := bp (-((p.J-s:ℕ):ℝ))
113
+ have hb : b*bp s<g := hG
114
+ let t := ((g-b*bp s)*δ)^2
115
+ have ht : 0<t := by apply pow_pos (mul_pos (sub_pos.mpr hb) hδ)
116
+ obtain ⟨l,hl⟩ := exists_nat_gt (1/t)
117
+ let d := 2*(p.J*(p.g-1)*(2*K))
118
+ have ha : 0<(s:ℝ)-2*a := sub_pos.mpr (by exact_mod_cast hs)
119
+ have hz : Tendsto (fun n:ℕ => (↑s-2*a:ℝ)*n) atTop atTop :=
120
+ (tendsto_const_mul_atTop_of_pos ha).mpr tendsto_natCast_atTop_atTop
121
+ filter_upwards [eventually_gt_atTop s,hz.eventually (eventually_ge_atTop
122
+ (1+((d:ℝ)+l*d)*s))] with n hn hN m hm x hx hK w hw hh P hP
123
+ have he := spinning p w (fun c=>v.rotor c m x) P hw (by
124
+ intro i j; unfold rotor Move.zreroute shanty; rw [wsign_abs]) hh b g δ
125
+ (bp_pos _).le _ s l hn (fun c y i => v.rotor_budget c m x K s hg hm hK hx y i)
126
+ hδ hb hP ((div_lt_iff₀ ht).mp hl)
127
+ apply he.trans
128
+ apply bp_le
129
+ have hy :
130
+ dim (v.scroll m x) ≤ d :=
131
+ (scroll_dim v m x).trans (by unfold d; gcongr)
132
+ have hx : ((dim (v.scroll m x)):ℝ) ≤ d := by exact_mod_cast hy
133
+ change 1+((d:ℝ)+l*d)*s≤ ((s:ℝ)-2*a)*n at hN
134
+ have hB := mul_le_mul_of_nonneg_left hx (Nat.cast_nonneg l : 0≤(l:ℝ))
135
+ nlinarith only [mul_le_mul_of_nonneg_right (add_le_add hx hB)
136
+ (Nat.cast_nonneg s : 0≤(s:ℝ)),hN]
137
+ end Template
138
+ end HadwigerCounterexample
139
+
140
+ end
141
+
142
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BilinearBlockCorrelation.lean CHANGED
@@ -1,107 +1,107 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.OppositeEndpointForms
2
-
3
- namespace OAI
4
-
5
- /-! # Bilinear Block Correlation -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset LinearMap Module Matrix Function
10
- open scoped BigOperators
11
- variable {p : Shape} {I J A : Type} [Fintype I] [Fintype J] [Fintype A]
12
- variable {n : ℕ}
13
-
14
- def spring (p : Shape) (l : Tag p.g) (s : Label p.b) (f : Flavor p.g)
15
- (y : Knobs p.g n) := point p s (lit f l y)
16
-
17
- theorem spring_update (p : Shape) (l : Tag p.g) (s : Label p.b) (f : Flavor p.g)
18
- (y : Knobs p.g n) (B) (h : f.keeps l B) (z : Vec (Fin n)) :
19
- spring p l s f (update y B z)= spring p l s f (update y B 0)+
20
- blockRay p n s B *ᵥ z := by
21
- classical
22
- have he : baseV (lit f l (update y B z))=baseV (lit f l (update y B 0))+blockA p n B *ᵥ z := by
23
- funext a
24
- rcases a with _|⟨d,j⟩
25
- · simp [baseV,blockA,mulVec,dotProduct,embedMat]
26
- by_cases hk : d=B
27
- · subst d; simp [baseV,blockA,mulVec,dotProduct,embedMat,lit,h]
28
- simp [baseV,blockA,mulVec,dotProduct,embedMat,lit,hk]
29
- unfold spring point blockRay
30
- rw [he,map_add,←Matrix.mulVec_mulVec,labMat_act]
31
-
32
- private def dotLB (I : Type) [Fintype I] : Vec I →ₗ[F] Vec I→ₗ[F] F where
33
- toFun := dotL
34
- map_add' p q := LinearMap.ext fun i => add_dotProduct p q i
35
- map_smul' a p := LinearMap.ext fun i => by
36
- change dotProduct (a • p) i=a*dotProduct p i
37
- rw [smul_dotProduct]; rfl
38
-
39
- theorem spark_walsh [DecidableEq I] [DecidableEq J] (M : Mat I J) (p : Wgt (Vec I)) (q : Wgt (Vec J))
40
- (hp : ∀ i, |p i|≤1) (hq : ∀ i, |q i|≤1) :
41
- |avg (pairW unif unif) (fun i => wsign (evmat M i.1 i.2)*(p i.1*q i.2))| ≤
42
- bp (-(M.rank:ℝ)/2) := by
43
- classical
44
- let Q := dotLB I
45
- let L := Q ∘ₗ M.mulVecLin
46
- have he (i j) : evmat M i j=L j i := dotProduct_comm ..
47
- have hh : Injective Q := fun x y h => funext (fun i => by
48
- have hg := LinearMap.congr_fun h (Pi.single i 1)
49
- change dotProduct x (Pi.single i 1)=dotProduct y (Pi.single i 1) at hg
50
- simpa using hg)
51
- have ht : rk L=M.rank := by
52
- have h : LinearMap.ker L=LinearMap.ker M.mulVecLin := by
53
- ext x; change Q (M.mulVecLin x)=0 ↔ M.mulVecLin x=0
54
- rw [← map_zero Q,hh.eq_iff]
55
- have hv := L.finrank_range_add_finrank_ker
56
- rw [h, ← M.mulVecLin.finrank_range_add_finrank_ker] at hv
57
- exact Nat.add_right_cancel hv
58
- rw [pairW_avg]
59
- have hz (x : Vec I) (y : Vec J) : wsign (evmat M x y)*(p x*q y)=p x*(q y*wsign (L y x)) := by
60
- rw [he]; ring
61
- simp_rw [hz,avg_mul']
62
- rw [←ht]
63
- exact walsh_bound _ q p hq hp
64
-
65
- set_option maxHeartbeats 800000 in
66
- theorem spark_uncap (p : Shape) (M : Moment p n) (s t : Label p.b) (l j : Tag p.g)
67
- (f g : Flavor p.g) (B) (hB : f.keeps l B) (hB' : g.keeps j B)
68
- (w u : Wgt (Knobs p.g n)) (hw : ∀ i,|w i| ≤ 1) (hu : ∀ i,|u i|≤1) :
69
- let Q i z := evmat M (spring p l s f i) (spring p j t g z)
70
- |avg (pairW unif unif) (fun x => wsign (Q x.1 x.2)*(w x.1*u x.2))|≤
71
- bp (-(blockRank B s t M:ℝ)/2) := by
72
- classical
73
- intro Q
74
- let F (x : Knobs p.g n × _) := wsign (Q x.1 x.2)*(w x.1*u x.2)
75
- let K := Wgt (Vec (Fin n))
76
- let v : Block p.g→ K := fun _ => unif
77
- have ht := update2_avg v v B F unif_law unif_law
78
- have he : prodW v=unif := draws_unif.symm
79
- let R := blockRay p n s B; let S:=blockRay p n t B
80
- let H := pullM R S M
81
- have hi (x y : Knobs p.g n) :
82
- |avg (pairW (v B) (v B)) (fun i => F (update x B i.1,update y B i.2))|≤
83
- bp (-(blockRank B s t M:ℝ)/2) := by
84
- let X := spring p l s f (update x B 0); let Y := spring p j t g (update y B 0)
85
- let A i := evmat M (R *ᵥ i) Y; let D j := evmat M X (S *ᵥ j)+evmat M X Y
86
- let Z i := wsign (A i)*w (update x B i); let W j := wsign (D j)*u (update y B j)
87
- have hp i j' :
88
- Q (update x B i) (update y B j')= evmat H i j'+(A i+D j') := by
89
- unfold Q; rw [spring_update _ _ _ _ _ _ hB,spring_update _ _ _ _ _ _ hB']
90
- unfold H A D X Y; rw [evmat_pull]
91
- simp only [evmat,mulVec_add,add_dotProduct,dotProduct_add,R,S]; ac_rfl
92
- have hh i j : F (update x B i,update y B j)=wsign (evmat H i j)*(Z i*W j) := by
93
- unfold F Z W; dsimp only; rw [hp,wsign_add,wsign_add]; ring
94
- have hz i : |Z i|≤1 := by unfold Z; rw [abs_mul,wsign_abs,one_mul]; exact hw _
95
- have hy i : |W i|≤1 := by unfold W; rw [abs_mul,wsign_abs,one_mul]; exact hu _
96
- simp_rw [hh]
97
- exact spark_walsh _ Z W hz hy
98
- simp only [he] at ht
99
- change |avg (pairW unif unif) F|≤_
100
- rw [ht]
101
- let hq := pairW_law (α:=Knobs p.g n) (β:=Knobs p.g n) unif_law unif_law
102
- exact (abs_avg_le hq.nz).trans (hq.avg_le fun x => hi x.1 x.2)
103
- end HadwigerCounterexample
104
-
105
- end
106
-
107
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.OppositeEndpointForms
2
+
3
+ namespace OAI
4
+
5
+ /-! # Bilinear Block Correlation -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset LinearMap Module Matrix Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {I J A : Type} [Fintype I] [Fintype J] [Fintype A]
12
+ variable {n : ℕ}
13
+
14
+ def spring (p : Shape) (l : Tag p.g) (s : Label p.b) (f : Flavor p.g)
15
+ (y : Knobs p.g n) := point p s (lit f l y)
16
+
17
+ theorem spring_update (p : Shape) (l : Tag p.g) (s : Label p.b) (f : Flavor p.g)
18
+ (y : Knobs p.g n) (B) (h : f.keeps l B) (z : Vec (Fin n)) :
19
+ spring p l s f (update y B z)= spring p l s f (update y B 0)+
20
+ blockRay p n s B *ᵥ z := by
21
+ classical
22
+ have he : baseV (lit f l (update y B z))=baseV (lit f l (update y B 0))+blockA p n B *ᵥ z := by
23
+ funext a
24
+ rcases a with _|⟨d,j⟩
25
+ · simp [baseV,blockA,mulVec,dotProduct,embedMat]
26
+ by_cases hk : d=B
27
+ · subst d; simp [baseV,blockA,mulVec,dotProduct,embedMat,lit,h]
28
+ simp [baseV,blockA,mulVec,dotProduct,embedMat,lit,hk]
29
+ unfold spring point blockRay
30
+ rw [he,map_add,←Matrix.mulVec_mulVec,labMat_act]
31
+
32
+ private def dotLB (I : Type) [Fintype I] : Vec I →ₗ[F] Vec I→ₗ[F] F where
33
+ toFun := dotL
34
+ map_add' p q := LinearMap.ext fun i => add_dotProduct p q i
35
+ map_smul' a p := LinearMap.ext fun i => by
36
+ change dotProduct (a • p) i=a*dotProduct p i
37
+ rw [smul_dotProduct]; rfl
38
+
39
+ theorem spark_walsh [DecidableEq I] [DecidableEq J] (M : Mat I J) (p : Wgt (Vec I)) (q : Wgt (Vec J))
40
+ (hp : ∀ i, |p i|≤1) (hq : ∀ i, |q i|≤1) :
41
+ |avg (pairW unif unif) (fun i => wsign (evmat M i.1 i.2)*(p i.1*q i.2))| ≤
42
+ bp (-(M.rank:ℝ)/2) := by
43
+ classical
44
+ let Q := dotLB I
45
+ let L := Q ∘ₗ M.mulVecLin
46
+ have he (i j) : evmat M i j=L j i := dotProduct_comm ..
47
+ have hh : Injective Q := fun x y h => funext (fun i => by
48
+ have hg := LinearMap.congr_fun h (Pi.single i 1)
49
+ change dotProduct x (Pi.single i 1)=dotProduct y (Pi.single i 1) at hg
50
+ simpa using hg)
51
+ have ht : rk L=M.rank := by
52
+ have h : LinearMap.ker L=LinearMap.ker M.mulVecLin := by
53
+ ext x; change Q (M.mulVecLin x)=0 ↔ M.mulVecLin x=0
54
+ rw [← map_zero Q,hh.eq_iff]
55
+ have hv := L.finrank_range_add_finrank_ker
56
+ rw [h, ← M.mulVecLin.finrank_range_add_finrank_ker] at hv
57
+ exact Nat.add_right_cancel hv
58
+ rw [pairW_avg]
59
+ have hz (x : Vec I) (y : Vec J) : wsign (evmat M x y)*(p x*q y)=p x*(q y*wsign (L y x)) := by
60
+ rw [he]; ring
61
+ simp_rw [hz,avg_mul']
62
+ rw [←ht]
63
+ exact walsh_bound _ q p hq hp
64
+
65
+ set_option maxHeartbeats 800000 in
66
+ theorem spark_uncap (p : Shape) (M : Moment p n) (s t : Label p.b) (l j : Tag p.g)
67
+ (f g : Flavor p.g) (B) (hB : f.keeps l B) (hB' : g.keeps j B)
68
+ (w u : Wgt (Knobs p.g n)) (hw : ∀ i,|w i| ≤ 1) (hu : ∀ i,|u i|≤1) :
69
+ let Q i z := evmat M (spring p l s f i) (spring p j t g z)
70
+ |avg (pairW unif unif) (fun x => wsign (Q x.1 x.2)*(w x.1*u x.2))|≤
71
+ bp (-(blockRank B s t M:ℝ)/2) := by
72
+ classical
73
+ intro Q
74
+ let F (x : Knobs p.g n × _) := wsign (Q x.1 x.2)*(w x.1*u x.2)
75
+ let K := Wgt (Vec (Fin n))
76
+ let v : Block p.g→ K := fun _ => unif
77
+ have ht := update2_avg v v B F unif_law unif_law
78
+ have he : prodW v=unif := draws_unif.symm
79
+ let R := blockRay p n s B; let S:=blockRay p n t B
80
+ let H := pullM R S M
81
+ have hi (x y : Knobs p.g n) :
82
+ |avg (pairW (v B) (v B)) (fun i => F (update x B i.1,update y B i.2))|≤
83
+ bp (-(blockRank B s t M:ℝ)/2) := by
84
+ let X := spring p l s f (update x B 0); let Y := spring p j t g (update y B 0)
85
+ let A i := evmat M (R *ᵥ i) Y; let D j := evmat M X (S *ᵥ j)+evmat M X Y
86
+ let Z i := wsign (A i)*w (update x B i); let W j := wsign (D j)*u (update y B j)
87
+ have hp i j' :
88
+ Q (update x B i) (update y B j')= evmat H i j'+(A i+D j') := by
89
+ unfold Q; rw [spring_update _ _ _ _ _ _ hB,spring_update _ _ _ _ _ _ hB']
90
+ unfold H A D X Y; rw [evmat_pull]
91
+ simp only [evmat,mulVec_add,add_dotProduct,dotProduct_add,R,S]; ac_rfl
92
+ have hh i j : F (update x B i,update y B j)=wsign (evmat H i j)*(Z i*W j) := by
93
+ unfold F Z W; dsimp only; rw [hp,wsign_add,wsign_add]; ring
94
+ have hz i : |Z i|≤1 := by unfold Z; rw [abs_mul,wsign_abs,one_mul]; exact hw _
95
+ have hy i : |W i|≤1 := by unfold W; rw [abs_mul,wsign_abs,one_mul]; exact hu _
96
+ simp_rw [hh]
97
+ exact spark_walsh _ Z W hz hy
98
+ simp only [he] at ht
99
+ change |avg (pairW unif unif) F|≤_
100
+ rw [ht]
101
+ let hq := pairW_law (α:=Knobs p.g n) (β:=Knobs p.g n) unif_law unif_law
102
+ exact (abs_avg_le hq.nz).trans (hq.avg_le fun x => hi x.1 x.2)
103
+ end HadwigerCounterexample
104
+
105
+ end
106
+
107
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BilinearCompression.lean CHANGED
@@ -1,126 +1,126 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PrimalSpaceCompression
2
-
3
- namespace OAI
4
-
5
- /-! # Bilinear Compression -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Submodule Module Finset
10
- open scoped BigOperators
11
-
12
- variable {p : Shape} {n : ℕ} {I J : Type} [Fintype I] [Fintype J]
13
-
14
- def dqBound (p : Shape) (T H R : ℕ) := 2*(drow p T R+H)
15
-
16
- private theorem pullM_fix (A : Mat I I) (P : Mat I I)
17
- (h : ∀ x ∈ colSp P,Aᵀ *ᵥ x=x) (h' : ∀ x∈colSp Pᵀ,Aᵀ *ᵥ x=x) :
18
- pullM A A P=P := by
19
- rw [pullM_def,mat_mul_fix h]
20
- have he := congrArg Matrix.transpose (mat_mul_fix h')
21
- simpa only [Matrix.transpose_mul,Matrix.transpose_transpose] using he
22
-
23
- private def dualSpace (M : Profile p n) (z : Place p) :=
24
- colSp (if z.2 then M z.1 else (M z.1)ᵀ)
25
- private theorem dualSpace_dim (M : Profile p n) (z : Place p) :
26
- dim (dualSpace M z)=(M z.1).rank := by
27
- cases z with
28
- | mk i b =>
29
- cases b; exact Matrix.rank_transpose _; rfl
30
-
31
- private def jointShrink (A : Bool → Nendo p n) (B : Place p → Bool → Mat (Chan p) (Chan p))
32
- (z : Place p) :=
33
- ∑ i : Bool,(liftM (IP p n i) (IP p n i) (rowShrink p (A i))+
34
- liftM (IH p n i) (IH p n i) (B z i))
35
-
36
- private theorem joint_ip (A : Bool → Nendo p n) (B : Place p → Bool → Mat (Chan p) (Chan p))
37
- (z : Place p) (i : Bool) :
38
- jointShrink A B z * IP p n i = IP p n i * rowShrink p (A i) := by
39
- classical
40
- simp only [jointShrink,Fintype.sum_bool,liftM_def,Matrix.add_mul,Matrix.mul_assoc,
41
- IH_IP,Matrix.mul_zero,add_zero]
42
- cases i <;> simp only [IP_self,IP_cross (show true≠false by decide),
43
- IP_cross (show false≠true by decide),Matrix.mul_zero,Matrix.mul_one,add_zero,zero_add]
44
-
45
- set_option maxHeartbeats 800000 in
46
- theorem shrink_pure {f : Plan p n} {M : Individual p n} {P : PureForms p n}
47
- (T H R : ℕ) (ht : ∀ z i,dim (sPin f z i)≤T) (hh : ∀ z i,dim (hPin f z i)≤H)
48
- (hr : ∀ i e,(M i e).rank≤R)
49
- (hp : P∈pureSpace p f) (he : obsPair p P=obsI p M) :
50
- ∃ Q∈pureSpace p f,obsPair p Q=obsPair p P ∧ ∀ e,(Q e).rank≤dqBound p T H R := by
51
- classical
52
- choose A hA hL hT using fun i => shrink_both (fun z => sPin f z i) (dualSpace (M i)) T R
53
- (fun z => ht z i) (fun z => by rw [dualSpace_dim]; exact hr i z.1)
54
- choose B hB using fun z i => proj_exists (hPin f z i) ⊥ disjoint_bot_right
55
- let D := jointShrink A B
56
- have hf (z : Place p) (x : Dir p n) (hx : x∈f z) : D z *ᵥ x=x := by
57
- have h1 (i : Bool) : rowShrink p (A i) *ᵥ ((IP p n i)ᵀ *ᵥ x)=(IP p n i)ᵀ *ᵥ x :=
58
- hA i z _ ⟨_,hx,rfl⟩
59
- have h2 (i : Bool) : B z i *ᵥ ((IH p n i)ᵀ *ᵥ x)=(IH p n i)ᵀ *ᵥ x :=
60
- (hB z i).fixes _ ⟨_,hx,rfl⟩
61
- unfold D jointShrink
62
- simp only [Matrix.sum_mulVec,Matrix.add_mulVec,liftM_def,← Matrix.mulVec_mulVec,h1,h2]
63
- exact ip_decomp x
64
- have hR (z : Place p) : (D z).rank ≤ dqBound p T H R := by
65
- apply le_trans (mrk_sum_le ..)
66
- have hx i :
67
- (liftM (IP p n i) (IP p n i) (rowShrink p (A i))+
68
- liftM (IH p n i) (IH p n i) (B z i)).rank ≤ drow p T R+H :=
69
- (mrk_add_le ..).trans (add_le_add
70
- ((rank_lift_le ..).trans (hT i)) ((rank_lift_le ..).trans
71
- ((rank_maps (hPin f z i) (hB z i).onto).trans (hh z i))))
72
- rw [Fintype.sum_bool,dqBound,two_mul]; exact add_le_add (hx _) (hx _)
73
- let Q (e : Comp p.g) := pullM (D (e,true)) (D (e,false)) (P e)
74
- have hG (i : Bool) (e : Comp p.g) : pullM (rowShrink p (A i)) (rowShrink p (A i)) (M i e)=
75
- M i e := pullM_fix _ _ (hL i (e,true)) (hL i (e,false))
76
- have hY (i : Bool) (e : Comp p.g) : eachF p Q i e=
77
- pullM (rowShrink p (A i)) (rowShrink p (A i)) (eachF p P i e) := by
78
- change pullM _ _ (Q e)=pullM _ _ (pullM _ _ _)
79
- let G := IP p n i
80
- have hw {I J K U V W : Type} [Fintype U] [Fintype V] [Fintype W] [Fintype I]
81
- [Fintype J] [Fintype K] (L : Mat U I) (R : Mat V J)
82
- (L' : Mat I K) (R' : Mat J W) (P : Mat U V) :
83
- pullM L' R' (pullM L R P) = pullM (L*L') (R*R') P := by
84
- unfold pullM
85
- rw [liftM_comp,Matrix.transpose_mul,Matrix.transpose_mul]
86
- unfold Q
87
- rw [hw,hw]
88
- have h (b) := joint_ip A B (e,b) i
89
- rw [show D (e,true)*IP p n i=_ from h true, show D (e,false)*IP p n i=_ from h false]
90
-
91
- refine ⟨Q,?_,?_,fun e => ?_⟩
92
- · refine (pureSpace_mem _).mpr fun e => ?_
93
- obtain ⟨h1,h2⟩ := box_kill.mp ((pureSpace_mem _).mp hp e)
94
- unfold Q; rw [box_kill,pullM_def]; constructor
95
- · intro x hx
96
- simp only [transpose_mul,transpose_transpose,←Matrix.mulVec_mulVec,hf (e,true) x hx,h1 x hx,
97
- mulVec_zero]
98
- intro x hx
99
- rw [← mulVec_mulVec,hf (e,false) x hx]
100
- rw [← mulVec_mulVec,h2 x hx,mulVec_zero]
101
- · rw [he,obsPair_each]
102
- rw [obsPair_each] at he
103
- change combineF p _=combineF p _
104
- change combineF p _=combineF p _ at he
105
- have he := (combineF_same ..).mp he
106
- apply (combineF_same ..).mpr
107
- intro i x hx
108
- let y : Profile p n := fun e => liftM (rowShrink p (A i)) (rowShrink p (A i)) (x e)
109
- rw [repF_rep,repF_rep]
110
- have hv := he i y (shrink_X (A i) x hx)
111
- rw [repF_rep,repF_rep] at hv
112
- have hu (F : Individual p n) : (∑ e,mpair (F i e) (y e))=
113
- ∑ e,mpair (pullM (rowShrink p (A i)) (rowShrink p (A i)) (F i e)) (x e) :=
114
- Finset.sum_congr rfl fun e _ => mpair_liftM ..
115
- rw [hu,hu] at hv
116
- simp_rw [← hY,hG] at hv
117
- exact hv
118
- unfold Q; rw [pullM_def]
119
- exact ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_left ..)).trans
120
- (by rw [Matrix.rank_transpose]; exact hR _)
121
-
122
- end HadwigerCounterexample
123
-
124
- end
125
-
126
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PrimalSpaceCompression
2
+
3
+ namespace OAI
4
+
5
+ /-! # Bilinear Compression -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Submodule Module Finset
10
+ open scoped BigOperators
11
+
12
+ variable {p : Shape} {n : ℕ} {I J : Type} [Fintype I] [Fintype J]
13
+
14
+ def dqBound (p : Shape) (T H R : ℕ) := 2*(drow p T R+H)
15
+
16
+ private theorem pullM_fix (A : Mat I I) (P : Mat I I)
17
+ (h : ∀ x ∈ colSp P,Aᵀ *ᵥ x=x) (h' : ∀ x∈colSp Pᵀ,Aᵀ *ᵥ x=x) :
18
+ pullM A A P=P := by
19
+ rw [pullM_def,mat_mul_fix h]
20
+ have he := congrArg Matrix.transpose (mat_mul_fix h')
21
+ simpa only [Matrix.transpose_mul,Matrix.transpose_transpose] using he
22
+
23
+ private def dualSpace (M : Profile p n) (z : Place p) :=
24
+ colSp (if z.2 then M z.1 else (M z.1)ᵀ)
25
+ private theorem dualSpace_dim (M : Profile p n) (z : Place p) :
26
+ dim (dualSpace M z)=(M z.1).rank := by
27
+ cases z with
28
+ | mk i b =>
29
+ cases b; exact Matrix.rank_transpose _; rfl
30
+
31
+ private def jointShrink (A : Bool → Nendo p n) (B : Place p → Bool → Mat (Chan p) (Chan p))
32
+ (z : Place p) :=
33
+ ∑ i : Bool,(liftM (IP p n i) (IP p n i) (rowShrink p (A i))+
34
+ liftM (IH p n i) (IH p n i) (B z i))
35
+
36
+ private theorem joint_ip (A : Bool → Nendo p n) (B : Place p → Bool → Mat (Chan p) (Chan p))
37
+ (z : Place p) (i : Bool) :
38
+ jointShrink A B z * IP p n i = IP p n i * rowShrink p (A i) := by
39
+ classical
40
+ simp only [jointShrink,Fintype.sum_bool,liftM_def,Matrix.add_mul,Matrix.mul_assoc,
41
+ IH_IP,Matrix.mul_zero,add_zero]
42
+ cases i <;> simp only [IP_self,IP_cross (show true≠false by decide),
43
+ IP_cross (show false≠true by decide),Matrix.mul_zero,Matrix.mul_one,add_zero,zero_add]
44
+
45
+ set_option maxHeartbeats 800000 in
46
+ theorem shrink_pure {f : Plan p n} {M : Individual p n} {P : PureForms p n}
47
+ (T H R : ℕ) (ht : ∀ z i,dim (sPin f z i)≤T) (hh : ∀ z i,dim (hPin f z i)≤H)
48
+ (hr : ∀ i e,(M i e).rank≤R)
49
+ (hp : P∈pureSpace p f) (he : obsPair p P=obsI p M) :
50
+ ∃ Q∈pureSpace p f,obsPair p Q=obsPair p P ∧ ∀ e,(Q e).rank≤dqBound p T H R := by
51
+ classical
52
+ choose A hA hL hT using fun i => shrink_both (fun z => sPin f z i) (dualSpace (M i)) T R
53
+ (fun z => ht z i) (fun z => by rw [dualSpace_dim]; exact hr i z.1)
54
+ choose B hB using fun z i => proj_exists (hPin f z i) ⊥ disjoint_bot_right
55
+ let D := jointShrink A B
56
+ have hf (z : Place p) (x : Dir p n) (hx : x∈f z) : D z *ᵥ x=x := by
57
+ have h1 (i : Bool) : rowShrink p (A i) *ᵥ ((IP p n i)ᵀ *ᵥ x)=(IP p n i)ᵀ *ᵥ x :=
58
+ hA i z _ ⟨_,hx,rfl⟩
59
+ have h2 (i : Bool) : B z i *ᵥ ((IH p n i)ᵀ *ᵥ x)=(IH p n i)ᵀ *ᵥ x :=
60
+ (hB z i).fixes _ ⟨_,hx,rfl⟩
61
+ unfold D jointShrink
62
+ simp only [Matrix.sum_mulVec,Matrix.add_mulVec,liftM_def,← Matrix.mulVec_mulVec,h1,h2]
63
+ exact ip_decomp x
64
+ have hR (z : Place p) : (D z).rank ≤ dqBound p T H R := by
65
+ apply le_trans (mrk_sum_le ..)
66
+ have hx i :
67
+ (liftM (IP p n i) (IP p n i) (rowShrink p (A i))+
68
+ liftM (IH p n i) (IH p n i) (B z i)).rank ≤ drow p T R+H :=
69
+ (mrk_add_le ..).trans (add_le_add
70
+ ((rank_lift_le ..).trans (hT i)) ((rank_lift_le ..).trans
71
+ ((rank_maps (hPin f z i) (hB z i).onto).trans (hh z i))))
72
+ rw [Fintype.sum_bool,dqBound,two_mul]; exact add_le_add (hx _) (hx _)
73
+ let Q (e : Comp p.g) := pullM (D (e,true)) (D (e,false)) (P e)
74
+ have hG (i : Bool) (e : Comp p.g) : pullM (rowShrink p (A i)) (rowShrink p (A i)) (M i e)=
75
+ M i e := pullM_fix _ _ (hL i (e,true)) (hL i (e,false))
76
+ have hY (i : Bool) (e : Comp p.g) : eachF p Q i e=
77
+ pullM (rowShrink p (A i)) (rowShrink p (A i)) (eachF p P i e) := by
78
+ change pullM _ _ (Q e)=pullM _ _ (pullM _ _ _)
79
+ let G := IP p n i
80
+ have hw {I J K U V W : Type} [Fintype U] [Fintype V] [Fintype W] [Fintype I]
81
+ [Fintype J] [Fintype K] (L : Mat U I) (R : Mat V J)
82
+ (L' : Mat I K) (R' : Mat J W) (P : Mat U V) :
83
+ pullM L' R' (pullM L R P) = pullM (L*L') (R*R') P := by
84
+ unfold pullM
85
+ rw [liftM_comp,Matrix.transpose_mul,Matrix.transpose_mul]
86
+ unfold Q
87
+ rw [hw,hw]
88
+ have h (b) := joint_ip A B (e,b) i
89
+ rw [show D (e,true)*IP p n i=_ from h true, show D (e,false)*IP p n i=_ from h false]
90
+
91
+ refine ⟨Q,?_,?_,fun e => ?_⟩
92
+ · refine (pureSpace_mem _).mpr fun e => ?_
93
+ obtain ⟨h1,h2⟩ := box_kill.mp ((pureSpace_mem _).mp hp e)
94
+ unfold Q; rw [box_kill,pullM_def]; constructor
95
+ · intro x hx
96
+ simp only [transpose_mul,transpose_transpose,←Matrix.mulVec_mulVec,hf (e,true) x hx,h1 x hx,
97
+ mulVec_zero]
98
+ intro x hx
99
+ rw [← mulVec_mulVec,hf (e,false) x hx]
100
+ rw [← mulVec_mulVec,h2 x hx,mulVec_zero]
101
+ · rw [he,obsPair_each]
102
+ rw [obsPair_each] at he
103
+ change combineF p _=combineF p _
104
+ change combineF p _=combineF p _ at he
105
+ have he := (combineF_same ..).mp he
106
+ apply (combineF_same ..).mpr
107
+ intro i x hx
108
+ let y : Profile p n := fun e => liftM (rowShrink p (A i)) (rowShrink p (A i)) (x e)
109
+ rw [repF_rep,repF_rep]
110
+ have hv := he i y (shrink_X (A i) x hx)
111
+ rw [repF_rep,repF_rep] at hv
112
+ have hu (F : Individual p n) : (∑ e,mpair (F i e) (y e))=
113
+ ∑ e,mpair (pullM (rowShrink p (A i)) (rowShrink p (A i)) (F i e)) (x e) :=
114
+ Finset.sum_congr rfl fun e _ => mpair_liftM ..
115
+ rw [hu,hu] at hv
116
+ simp_rw [← hY,hG] at hv
117
+ exact hv
118
+ unfold Q; rw [pullM_def]
119
+ exact ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_left ..)).trans
120
+ (by rw [Matrix.rank_transpose]; exact hR _)
121
+
122
+ end HadwigerCounterexample
123
+
124
+ end
125
+
126
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BinaryEvaluationForms.lean CHANGED
@@ -1,174 +1,174 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.MixerConditions
2
-
3
- namespace OAI
4
-
5
- /-! # Binary Evaluation Forms -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix
11
- variable {p : Shape} {n : ℕ}
12
-
13
- theorem pullT {I J V U : Type} [Fintype V] [Fintype U]
14
- (A : Mat V U) (P : Mat U I) (Q : Mat V J) :
15
- pullM P Q Aᵀ = (pullM Q P A)ᵀ := by
16
- rw [pullM_def,pullM_def,transpose_mul,transpose_mul,transpose_transpose,Matrix.mul_assoc]
17
-
18
- theorem indexed_linear {c : Vec (MBits p)} {D D' : Draw p n} :
19
- indexedSum (drawn (p:=p) (D+D')) c =
20
- indexedSum (drawn D) c + indexedSum (drawn D') c := by
21
- have h (i : MBits p) :
22
- eitherM i.2 (orderedM (drawn (p:=p) (D+D')) i.1) =
23
- eitherM i.2 (orderedM (drawn D) i.1) + eitherM i.2 (orderedM (drawn D') i.1) := by
24
- rcases i with ⟨⟨⟨a,b,d⟩,_|_⟩,_|_⟩ <;> rfl
25
- unfold indexedSum
26
- simp_rw [h,smul_add,Finset.sum_add_distrib]
27
-
28
- def obsZ (p : Shape) (n : ℕ) (s t : Label p.b) (c : Vec (MBits p)) :
29
- Draw p n →ₗ[F] Mat (Fin n) (Fin n) where
30
- toFun D := pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z) (indexedSum (drawn D) c)
31
- map_add' _ _ := by rw [indexed_linear,map_add]
32
- map_smul' a x := by
33
- have h (i : MBits p) :
34
- eitherM i.2 (orderedM (drawn (p:=p) (a•x)) i.1)=
35
- a • eitherM i.2 (orderedM (drawn x) i.1) := by
36
- rcases i with ⟨⟨⟨a,b,d⟩,_|_⟩,_|_⟩ <;> rfl
37
- simp only [indexedSum,h,map_sum,map_smul,RingHom.id_apply,Finset.smul_sum]
38
- exact Finset.sum_congr rfl fun i _ => smul_comm _ _ _
39
-
40
- theorem obsZ_self (s t : Label p.b) (f : Vec Bool) (m : Mixer p n) :
41
- pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z) (selfSum m f) = 0 := by
42
- rw [selfSum,Fintype.sum_bool,map_add,map_smul,map_smul]
43
- change _ • pullM _ _ (selfM p n m.mixM) + _ • pullM _ _ (selfM p n m.mixM)ᵀ = 0
44
- rw [pullT,pull_self_Z,pull_self_Z]
45
- simp
46
-
47
- private theorem two_eval (s t : Label p.b) (hj : 1≤p.j) (hs : s≠t)
48
- (x : Bool → Mat (Fin n) (Fin n)) :
49
- ∃ A : Moment p n, ∀ b, pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z)
50
- (eitherM b A) = x b := by
51
- let P := blockRay p n s Block.Z
52
- let Q := blockRay p n t Block.Z
53
- have hh : Function.Injective (fromCols P Q).mulVec := joined_block_inj hj hs _
54
- obtain ⟨L,hL⟩ := prescribe_between hh hh
55
- (fromBlocks (0:Mat (Fin n) (Fin n)) (x true) (x false)ᵀ (0:Mat (Fin n) (Fin n)))
56
- rw [transpose_fromCols,fromRows_mul,fromRows_mul_fromCols] at hL
57
- have hx : pullM P Q L = x true := congrArg Matrix.toBlocks₁₂ hL
58
- have hy : pullM Q P L = (x false)ᵀ := congrArg Matrix.toBlocks₂₁ hL
59
- refine ⟨L,fun b => ?_⟩
60
- cases b
61
- · change pullM P Q Lᵀ=x false
62
- rw [pullT,hy,transpose_transpose]
63
- · exact hx
64
-
65
- theorem obsZ_surj (s t : Label p.b) (hj : 1≤p.j) (hs : s≠t)
66
- {c : Vec (MBits p)} (hc : c ≠ 0) : Function.Surjective (obsZ p n s t c) := by
67
- classical
68
- simp only [ne_eq,funext_iff,Pi.zero_apply,not_forall] at hc
69
- obtain ⟨i,hi⟩ := hc
70
- intro M
71
- let y (j : MBits p) := if j=i then M else 0
72
- choose A hA using fun j : MOne p => two_eval s t hj hs (fun b => y (j,b))
73
- let D : Draw p n := (fun j => A (j,true), fun j => A (j,false), 0)
74
- have he (j : MBits p) :
75
- pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z)
76
- (eitherM j.2 (orderedM (drawn D) j.1)) = y j := by
77
- rcases j with ⟨⟨j,_|_⟩,x⟩
78
- · exact hA _ _
79
- · exact hA _ _
80
- refine ⟨D,?_⟩
81
- simp only [obsZ,indexedSum,map_sum,map_smul,he,LinearMap.coe_mk,AddHom.coe_mk]
82
- rw [Finset.sum_eq_single i]
83
- · simp [y,(bit_cases (c i)).resolve_left hi]
84
- · intro j _ hj; simp [y,hj]
85
- simp
86
-
87
- def selfPartial (s t : Label p.b) (f : Vec Bool) (D : Draw p n) : Mat (Fin n) (Fin n) :=
88
- let A := ∑ a, (s a+t a) • D.2.2 a
89
- f true • A+f false • Aᵀ
90
-
91
- theorem pull_selfPart (s t : Label p.b) (hj : 1 ≤ p.j) (f : Vec Bool) (D : Draw p n) :
92
- pullM (blockRay p n s Block.sharp) (blockRay p n t Block.sharp) (selfSum (drawn D) f) =
93
- selfPartial (p:=p) s t f D := by
94
- rw [selfSum, Fintype.sum_bool,map_add,map_smul,map_smul]
95
- change _ • pullM _ _ (selfM p n D.2.2) + _ • pullM _ _ (selfM p n D.2.2)ᵀ = _
96
- rw [pullT,pull_self_sharp _ _ _ hj,pull_self_sharp _ _ _ hj]
97
- unfold selfPartial
98
- congr 2
99
- simp only [add_comm]
100
-
101
- def obsHalf (p : Shape) (s t : Label p.b) (f : Vec Bool) (n : ℕ)
102
- (l r : Fin (n/2)→Fin n) : Draw p n →ₗ[F] Mat (Fin (n/2)) (Fin (n/2)) where
103
- toFun D := (selfPartial (p:=p) s t f D).submatrix l r
104
- map_add' _ _ := by
105
- simp only [selfPartial, Prod.snd_add, Pi.add_apply, smul_add, Finset.sum_add_distrib,
106
- transpose_add, Matrix.submatrix_add]
107
- abel
108
- map_smul' a D := by
109
- simp only [selfPartial,Prod.smul_snd,Pi.smul_apply,RingHom.id_apply]
110
- let F (D : Draw p n) := ∑ i, (s i+t i) • D.2.2 i
111
- have h :
112
- ∑ i, (s i+t i) • (a • D.2.2 i) = a • F D := by
113
- unfold F; rw [Finset.smul_sum]; exact Finset.sum_congr rfl fun _ _ => smul_comm _ _ _
114
- rw [h,Matrix.transpose_smul]
115
- rw [smul_comm (f true),smul_comm (f false) a, ← smul_add]
116
- rfl
117
-
118
- /-- Uniform off-diagonal block even in transpose-character case. -/
119
- theorem obsHalf_surj (s t : Label p.b) (hs : s≠t) {f : Vec Bool} (hf : f≠0) (n : ℕ)
120
- {l r : Fin (n/2)→Fin n} (hl : Function.Injective l) (hr : Function.Injective r)
121
- (h : ∀ i j,l i≠r j) : Function.Surjective (obsHalf p s t f n l r) := by
122
- classical
123
- intro M
124
- obtain ⟨a,ha⟩ : ∃ a,s a+t a=1 := by
125
- obtain ⟨a,ha⟩ := Function.ne_iff.mp hs
126
- exact ⟨a,(bit_cases _).resolve_left (fun h => ha
127
- (add_right_cancel (h.trans (char_two _).symm)))⟩
128
- let m := n/2
129
- let P := embedMat l
130
- let Q := embedMat r
131
- have hi : Function.Injective (fromCols P Q).mulVec := by
132
- have he : fromCols P Q = embedMat (Sum.elim l r) := by ext i j; cases j <;> rfl
133
- rw [he]; apply embedMat_inj
134
- rintro (x|x) (y|y) g
135
- · rw [hl g]
136
- · exact (h _ _ g).elim
137
- · exact (h _ _ g.symm).elim
138
- · rw [hr g]
139
- have hv (x y : Mat (Fin m) (Fin m)) :
140
- ∃ A : Mat (Fin n) (Fin n), A.submatrix l r=x ∧ Aᵀ.submatrix l r=y := by
141
- obtain ⟨A,hA⟩ := prescribe_between hi hi (fromBlocks (0:Mat (Fin m) (Fin m)) x yᵀ
142
- (0:Mat (Fin m) (Fin m)))
143
- rw [transpose_fromCols,fromRows_mul,fromRows_mul_fromCols] at hA
144
- have h1 : Pᵀ*A*Q=x := congrArg Matrix.toBlocks₁₂ hA
145
- have h2 : Qᵀ*A*P=yᵀ := congrArg Matrix.toBlocks₂₁ hA
146
- unfold P Q at *
147
- rw [embedMat_mul,mul_embedMat] at h1 h2
148
- exact ⟨A,h1,congrArg Matrix.transpose h2⟩
149
- obtain ⟨x,y,hx⟩ : ∃ x y : Mat (Fin m) (Fin m), f true • x+f false • y=M := by
150
- rcases bit_cases (f true) with g|g
151
- · have hg : f false≠0 := fun hg => hf (funext fun i => by cases i <;> assumption)
152
- exact ⟨0,M,by rw [(bit_cases _).resolve_left hg]; simp⟩
153
- · exact ⟨M,0,by rw [g]; simp⟩
154
- obtain ⟨A,h1,h2⟩ := hv x y
155
- let D : Draw p n := (0,0,Pi.single a A)
156
- have hE :
157
- ∑ i,(s i+t i) • D.2.2 i=A := by
158
- rw [Finset.sum_eq_single a]
159
- · simp [D,ha]
160
- · intro i _ hi; simp [D,Pi.single_eq_of_ne hi]
161
- simp
162
- refine ⟨D,?_⟩
163
- change (selfPartial (p:=p) s t f D).submatrix l r=M
164
- unfold selfPartial
165
- rw [hE]
166
- change (f true • A + f false • Aᵀ).submatrix l r = _
167
- change f true • A.submatrix l r + f false • Aᵀ.submatrix l r = M
168
- rw [h1,h2,hx]
169
-
170
- end HadwigerCounterexample
171
-
172
- end
173
-
174
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.MixerConditions
2
+
3
+ namespace OAI
4
+
5
+ /-! # Binary Evaluation Forms -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix
11
+ variable {p : Shape} {n : ℕ}
12
+
13
+ theorem pullT {I J V U : Type} [Fintype V] [Fintype U]
14
+ (A : Mat V U) (P : Mat U I) (Q : Mat V J) :
15
+ pullM P Q Aᵀ = (pullM Q P A)ᵀ := by
16
+ rw [pullM_def,pullM_def,transpose_mul,transpose_mul,transpose_transpose,Matrix.mul_assoc]
17
+
18
+ theorem indexed_linear {c : Vec (MBits p)} {D D' : Draw p n} :
19
+ indexedSum (drawn (p:=p) (D+D')) c =
20
+ indexedSum (drawn D) c + indexedSum (drawn D') c := by
21
+ have h (i : MBits p) :
22
+ eitherM i.2 (orderedM (drawn (p:=p) (D+D')) i.1) =
23
+ eitherM i.2 (orderedM (drawn D) i.1) + eitherM i.2 (orderedM (drawn D') i.1) := by
24
+ rcases i with ⟨⟨⟨a,b,d⟩,_|_⟩,_|_⟩ <;> rfl
25
+ unfold indexedSum
26
+ simp_rw [h,smul_add,Finset.sum_add_distrib]
27
+
28
+ def obsZ (p : Shape) (n : ℕ) (s t : Label p.b) (c : Vec (MBits p)) :
29
+ Draw p n →ₗ[F] Mat (Fin n) (Fin n) where
30
+ toFun D := pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z) (indexedSum (drawn D) c)
31
+ map_add' _ _ := by rw [indexed_linear,map_add]
32
+ map_smul' a x := by
33
+ have h (i : MBits p) :
34
+ eitherM i.2 (orderedM (drawn (p:=p) (a•x)) i.1)=
35
+ a • eitherM i.2 (orderedM (drawn x) i.1) := by
36
+ rcases i with ⟨⟨⟨a,b,d⟩,_|_⟩,_|_⟩ <;> rfl
37
+ simp only [indexedSum,h,map_sum,map_smul,RingHom.id_apply,Finset.smul_sum]
38
+ exact Finset.sum_congr rfl fun i _ => smul_comm _ _ _
39
+
40
+ theorem obsZ_self (s t : Label p.b) (f : Vec Bool) (m : Mixer p n) :
41
+ pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z) (selfSum m f) = 0 := by
42
+ rw [selfSum,Fintype.sum_bool,map_add,map_smul,map_smul]
43
+ change _ • pullM _ _ (selfM p n m.mixM) + _ • pullM _ _ (selfM p n m.mixM)ᵀ = 0
44
+ rw [pullT,pull_self_Z,pull_self_Z]
45
+ simp
46
+
47
+ private theorem two_eval (s t : Label p.b) (hj : 1≤p.j) (hs : s≠t)
48
+ (x : Bool → Mat (Fin n) (Fin n)) :
49
+ ∃ A : Moment p n, ∀ b, pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z)
50
+ (eitherM b A) = x b := by
51
+ let P := blockRay p n s Block.Z
52
+ let Q := blockRay p n t Block.Z
53
+ have hh : Function.Injective (fromCols P Q).mulVec := joined_block_inj hj hs _
54
+ obtain ⟨L,hL⟩ := prescribe_between hh hh
55
+ (fromBlocks (0:Mat (Fin n) (Fin n)) (x true) (x false)ᵀ (0:Mat (Fin n) (Fin n)))
56
+ rw [transpose_fromCols,fromRows_mul,fromRows_mul_fromCols] at hL
57
+ have hx : pullM P Q L = x true := congrArg Matrix.toBlocks₁₂ hL
58
+ have hy : pullM Q P L = (x false)ᵀ := congrArg Matrix.toBlocks₂₁ hL
59
+ refine ⟨L,fun b => ?_⟩
60
+ cases b
61
+ · change pullM P Q Lᵀ=x false
62
+ rw [pullT,hy,transpose_transpose]
63
+ · exact hx
64
+
65
+ theorem obsZ_surj (s t : Label p.b) (hj : 1≤p.j) (hs : s≠t)
66
+ {c : Vec (MBits p)} (hc : c ≠ 0) : Function.Surjective (obsZ p n s t c) := by
67
+ classical
68
+ simp only [ne_eq,funext_iff,Pi.zero_apply,not_forall] at hc
69
+ obtain ⟨i,hi⟩ := hc
70
+ intro M
71
+ let y (j : MBits p) := if j=i then M else 0
72
+ choose A hA using fun j : MOne p => two_eval s t hj hs (fun b => y (j,b))
73
+ let D : Draw p n := (fun j => A (j,true), fun j => A (j,false), 0)
74
+ have he (j : MBits p) :
75
+ pullM (blockRay p n s Block.Z) (blockRay p n t Block.Z)
76
+ (eitherM j.2 (orderedM (drawn D) j.1)) = y j := by
77
+ rcases j with ⟨⟨j,_|_⟩,x⟩
78
+ · exact hA _ _
79
+ · exact hA _ _
80
+ refine ⟨D,?_⟩
81
+ simp only [obsZ,indexedSum,map_sum,map_smul,he,LinearMap.coe_mk,AddHom.coe_mk]
82
+ rw [Finset.sum_eq_single i]
83
+ · simp [y,(bit_cases (c i)).resolve_left hi]
84
+ · intro j _ hj; simp [y,hj]
85
+ simp
86
+
87
+ def selfPartial (s t : Label p.b) (f : Vec Bool) (D : Draw p n) : Mat (Fin n) (Fin n) :=
88
+ let A := ∑ a, (s a+t a) • D.2.2 a
89
+ f true • A+f false • Aᵀ
90
+
91
+ theorem pull_selfPart (s t : Label p.b) (hj : 1 ≤ p.j) (f : Vec Bool) (D : Draw p n) :
92
+ pullM (blockRay p n s Block.sharp) (blockRay p n t Block.sharp) (selfSum (drawn D) f) =
93
+ selfPartial (p:=p) s t f D := by
94
+ rw [selfSum, Fintype.sum_bool,map_add,map_smul,map_smul]
95
+ change _ • pullM _ _ (selfM p n D.2.2) + _ • pullM _ _ (selfM p n D.2.2)ᵀ = _
96
+ rw [pullT,pull_self_sharp _ _ _ hj,pull_self_sharp _ _ _ hj]
97
+ unfold selfPartial
98
+ congr 2
99
+ simp only [add_comm]
100
+
101
+ def obsHalf (p : Shape) (s t : Label p.b) (f : Vec Bool) (n : ℕ)
102
+ (l r : Fin (n/2)→Fin n) : Draw p n →ₗ[F] Mat (Fin (n/2)) (Fin (n/2)) where
103
+ toFun D := (selfPartial (p:=p) s t f D).submatrix l r
104
+ map_add' _ _ := by
105
+ simp only [selfPartial, Prod.snd_add, Pi.add_apply, smul_add, Finset.sum_add_distrib,
106
+ transpose_add, Matrix.submatrix_add]
107
+ abel
108
+ map_smul' a D := by
109
+ simp only [selfPartial,Prod.smul_snd,Pi.smul_apply,RingHom.id_apply]
110
+ let F (D : Draw p n) := ∑ i, (s i+t i) • D.2.2 i
111
+ have h :
112
+ ∑ i, (s i+t i) • (a • D.2.2 i) = a • F D := by
113
+ unfold F; rw [Finset.smul_sum]; exact Finset.sum_congr rfl fun _ _ => smul_comm _ _ _
114
+ rw [h,Matrix.transpose_smul]
115
+ rw [smul_comm (f true),smul_comm (f false) a, ← smul_add]
116
+ rfl
117
+
118
+ /-- Uniform off-diagonal block even in transpose-character case. -/
119
+ theorem obsHalf_surj (s t : Label p.b) (hs : s≠t) {f : Vec Bool} (hf : f≠0) (n : ℕ)
120
+ {l r : Fin (n/2)→Fin n} (hl : Function.Injective l) (hr : Function.Injective r)
121
+ (h : ∀ i j,l i≠r j) : Function.Surjective (obsHalf p s t f n l r) := by
122
+ classical
123
+ intro M
124
+ obtain ⟨a,ha⟩ : ∃ a,s a+t a=1 := by
125
+ obtain ⟨a,ha⟩ := Function.ne_iff.mp hs
126
+ exact ⟨a,(bit_cases _).resolve_left (fun h => ha
127
+ (add_right_cancel (h.trans (char_two _).symm)))⟩
128
+ let m := n/2
129
+ let P := embedMat l
130
+ let Q := embedMat r
131
+ have hi : Function.Injective (fromCols P Q).mulVec := by
132
+ have he : fromCols P Q = embedMat (Sum.elim l r) := by ext i j; cases j <;> rfl
133
+ rw [he]; apply embedMat_inj
134
+ rintro (x|x) (y|y) g
135
+ · rw [hl g]
136
+ · exact (h _ _ g).elim
137
+ · exact (h _ _ g.symm).elim
138
+ · rw [hr g]
139
+ have hv (x y : Mat (Fin m) (Fin m)) :
140
+ ∃ A : Mat (Fin n) (Fin n), A.submatrix l r=x ∧ Aᵀ.submatrix l r=y := by
141
+ obtain ⟨A,hA⟩ := prescribe_between hi hi (fromBlocks (0:Mat (Fin m) (Fin m)) x yᵀ
142
+ (0:Mat (Fin m) (Fin m)))
143
+ rw [transpose_fromCols,fromRows_mul,fromRows_mul_fromCols] at hA
144
+ have h1 : Pᵀ*A*Q=x := congrArg Matrix.toBlocks₁₂ hA
145
+ have h2 : Qᵀ*A*P=yᵀ := congrArg Matrix.toBlocks₂₁ hA
146
+ unfold P Q at *
147
+ rw [embedMat_mul,mul_embedMat] at h1 h2
148
+ exact ⟨A,h1,congrArg Matrix.transpose h2⟩
149
+ obtain ⟨x,y,hx⟩ : ∃ x y : Mat (Fin m) (Fin m), f true • x+f false • y=M := by
150
+ rcases bit_cases (f true) with g|g
151
+ · have hg : f false≠0 := fun hg => hf (funext fun i => by cases i <;> assumption)
152
+ exact ⟨0,M,by rw [(bit_cases _).resolve_left hg]; simp⟩
153
+ · exact ⟨M,0,by rw [g]; simp⟩
154
+ obtain ⟨A,h1,h2⟩ := hv x y
155
+ let D : Draw p n := (0,0,Pi.single a A)
156
+ have hE :
157
+ ∑ i,(s i+t i) • D.2.2 i=A := by
158
+ rw [Finset.sum_eq_single a]
159
+ · simp [D,ha]
160
+ · intro i _ hi; simp [D,Pi.single_eq_of_ne hi]
161
+ simp
162
+ refine ⟨D,?_⟩
163
+ change (selfPartial (p:=p) s t f D).submatrix l r=M
164
+ unfold selfPartial
165
+ rw [hE]
166
+ change (f true • A + f false • Aᵀ).submatrix l r = _
167
+ change f true • A.submatrix l r + f false • Aᵀ.submatrix l r = M
168
+ rw [h1,h2,hx]
169
+
170
+ end HadwigerCounterexample
171
+
172
+ end
173
+
174
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BinaryMatrices.lean CHANGED
@@ -1,125 +1,125 @@
1
- import Mathlib.Algebra.Field.ZMod
2
- import Mathlib.LinearAlgebra.Matrix.Rank
3
- import Mathlib.LinearAlgebra.Matrix.Trace
4
- import Mathlib.FieldTheory.Finiteness
5
- import Mathlib.Tactic.Ring
6
-
7
- namespace OAI
8
-
9
- /-! # Binary Matrices -/
10
-
11
- noncomputable section
12
- namespace HadwigerCounterexample
13
-
14
- open scoped BigOperators
15
- open Matrix
16
-
17
- abbrev F := ZMod 2
18
- abbrev Vec (I : Type) := I → F
19
- abbrev Mat (I J : Type) := Matrix I J F
20
- abbrev Space (V : Type) [AddCommGroup V] [Module F V] := Submodule F V
21
-
22
- theorem bit_cases (x : F) : x = 0 ∨ x = 1 :=
23
- (by decide : ∀ x : ZMod 2, x = 0 ∨ x = 1) x
24
- theorem bit_sq (x : F) : x*x = x := by rcases bit_cases x with e|e <;> rw [e] <;> simp
25
- theorem char_two {V : Type*} [AddCommGroup V] [Module F V] (x : V) : x+x=0 :=
26
- ZModModule.add_self x
27
- theorem odd_smul_bit {n : ℕ} (hn : Odd n) (x : F) : n • x = x := by
28
- obtain ⟨m,rfl⟩ := hn
29
- rw [add_smul, one_smul, mul_smul, two_smul,char_two,zero_add]
30
-
31
- section Linear
32
-
33
- variable {I J K L R S : Type} [Fintype I] [Fintype J]
34
-
35
- def evmat (M : Mat I J) (x : Vec I) (y : Vec J) := dotProduct x (M *ᵥ y)
36
-
37
- def mpair (M : Mat I J) : Mat I J →ₗ[F] F where
38
- toFun A := ∑ i, ∑ j, M i j * A i j
39
- map_add' A B := by simp only [Matrix.add_apply,mul_add,Finset.sum_add_distrib]
40
- map_smul' b A := by
41
- simp only [Matrix.smul_apply, smul_eq_mul,RingHom.id_apply,Finset.mul_sum,mul_left_comm b]
42
-
43
- theorem mpair_comm (M A : Mat I J) : mpair M A = mpair A M := by
44
- dsimp [mpair]
45
- simp only [mul_comm]
46
-
47
- theorem mpair_outer (M : Mat I J) (x : Vec I) (y : Vec J) :
48
- mpair M (vecMulVec x y) = evmat M x y := by
49
- dsimp [mpair,evmat,mulVec,dotProduct,vecMulVec]
50
- simp only [Finset.mul_sum,mul_left_comm]
51
-
52
- /-- Apply frame maps to the two factors of every tensor. -/
53
- def liftM (P : Mat K I) (Q : Mat L J) : Mat I J →ₗ[F] Mat K L where
54
- toFun A := P*A*Qᵀ
55
- map_add' A B := by rw [Matrix.mul_add,Matrix.add_mul]
56
- map_smul' b A := by simp only [Matrix.mul_smul, Matrix.smul_mul,RingHom.id_apply]
57
-
58
- theorem liftM_def (P : Mat K I) (Q : Mat L J) (A : Mat I J) :
59
- liftM P Q A = P*A*Qᵀ := rfl
60
-
61
- theorem liftM_outer (P : Mat K I) (Q : Mat L J) (x : Vec I) (y : Vec J) :
62
- liftM P Q (vecMulVec x y) = vecMulVec (P *ᵥ x) (Q *ᵥ y) := by
63
- rw [liftM_def,mul_vecMulVec,vecMulVec_mul,vecMul_transpose]
64
-
65
- variable [Fintype K] [Fintype L]
66
-
67
- theorem liftM_comp (P : Mat K I) (Q : Mat L J) (P' : Mat R K) (Q' : Mat S L)
68
- (A : Mat I J) :
69
- liftM P' Q' (liftM P Q A) = liftM (P'*P) (Q'*Q) A := by
70
- simp only [liftM_def, Matrix.transpose_mul,Matrix.mul_assoc]
71
-
72
- theorem mpair_liftM (P : Mat K I) (Q : Mat L J) (M : Mat K L) (A : Mat I J) :
73
- mpair M (liftM P Q A) = mpair (liftM Pᵀ Qᵀ M) A := by
74
-
75
- simp only [liftM_def, mpair, transpose_transpose, LinearMap.coe_mk,AddHom.coe_mk,
76
- Matrix.mul_apply, Finset.sum_mul, Finset.mul_sum, transpose_apply]
77
-
78
- conv_lhs =>
79
- arg 2
80
- intro k
81
- rw [Finset.sum_comm]
82
- rw [Finset.sum_comm]
83
-
84
- conv_rhs => rw [Finset.sum_comm]
85
- refine Finset.sum_congr rfl fun j _ => ?_
86
- conv_lhs =>
87
- arg 2
88
- intro k
89
- rw [Finset.sum_comm]
90
- rw [Finset.sum_comm]
91
- refine Finset.sum_congr rfl fun i _ => ?_
92
- rw [Finset.sum_comm]
93
- refine Finset.sum_congr rfl fun l _ => Finset.sum_congr rfl fun k _ => ?_
94
- ring
95
-
96
- theorem mat_left_inv [DecidableEq I] {P : Mat K I} (hp : Function.Injective P.mulVec) :
97
- ∃ Q : Mat I K, Q*P = 1 := by
98
- classical
99
- have hp' : Function.Injective (P.mulVecLin) := hp
100
- obtain ⟨f,hf⟩ := P.mulVecLin.exists_leftInverse_of_injective (LinearMap.ker_eq_bot.mpr hp')
101
- refine ⟨LinearMap.toMatrix' f, ?_⟩
102
- apply Matrix.toLin'.injective
103
- rw [Matrix.toLin'_mul]
104
- simp only [Matrix.toLin'_one]
105
- change ((LinearMap.toMatrix').symm _) ∘ₗ _ = _
106
- rw [LinearEquiv.symm_apply_apply]
107
- exact hf
108
-
109
- theorem liftM_inj {P : Mat K I} {Q : Mat L J} (hp : Function.Injective P.mulVec)
110
- (hq : Function.Injective Q.mulVec) : Function.Injective (liftM P Q) := by
111
- classical
112
- obtain ⟨P', hP⟩ := mat_left_inv hp
113
- obtain ⟨Q', hQ⟩ := mat_left_inv hq
114
- intro A B hab
115
- have hh := congrArg (liftM P' Q') hab
116
- rw [liftM_comp,liftM_comp,hP,hQ] at hh
117
- simpa only [liftM_def, Matrix.one_mul, Matrix.transpose_one,
118
- Matrix.mul_one] using hh
119
-
120
- end Linear
121
- end HadwigerCounterexample
122
-
123
- end
124
-
125
- end OAI
 
1
+ import Mathlib.Algebra.Field.ZMod
2
+ import Mathlib.LinearAlgebra.Matrix.Rank
3
+ import Mathlib.LinearAlgebra.Matrix.Trace
4
+ import Mathlib.FieldTheory.Finiteness
5
+ import Mathlib.Tactic.Ring
6
+
7
+ namespace OAI
8
+
9
+ /-! # Binary Matrices -/
10
+
11
+ noncomputable section
12
+ namespace HadwigerCounterexample
13
+
14
+ open scoped BigOperators
15
+ open Matrix
16
+
17
+ abbrev F := ZMod 2
18
+ abbrev Vec (I : Type) := I → F
19
+ abbrev Mat (I J : Type) := Matrix I J F
20
+ abbrev Space (V : Type) [AddCommGroup V] [Module F V] := Submodule F V
21
+
22
+ theorem bit_cases (x : F) : x = 0 ∨ x = 1 :=
23
+ (by decide : ∀ x : ZMod 2, x = 0 ∨ x = 1) x
24
+ theorem bit_sq (x : F) : x*x = x := by rcases bit_cases x with e|e <;> rw [e] <;> simp
25
+ theorem char_two {V : Type*} [AddCommGroup V] [Module F V] (x : V) : x+x=0 :=
26
+ ZModModule.add_self x
27
+ theorem odd_smul_bit {n : ℕ} (hn : Odd n) (x : F) : n • x = x := by
28
+ obtain ⟨m,rfl⟩ := hn
29
+ rw [add_smul, one_smul, mul_smul, two_smul,char_two,zero_add]
30
+
31
+ section Linear
32
+
33
+ variable {I J K L R S : Type} [Fintype I] [Fintype J]
34
+
35
+ def evmat (M : Mat I J) (x : Vec I) (y : Vec J) := dotProduct x (M *ᵥ y)
36
+
37
+ def mpair (M : Mat I J) : Mat I J →ₗ[F] F where
38
+ toFun A := ∑ i, ∑ j, M i j * A i j
39
+ map_add' A B := by simp only [Matrix.add_apply,mul_add,Finset.sum_add_distrib]
40
+ map_smul' b A := by
41
+ simp only [Matrix.smul_apply, smul_eq_mul,RingHom.id_apply,Finset.mul_sum,mul_left_comm b]
42
+
43
+ theorem mpair_comm (M A : Mat I J) : mpair M A = mpair A M := by
44
+ dsimp [mpair]
45
+ simp only [mul_comm]
46
+
47
+ theorem mpair_outer (M : Mat I J) (x : Vec I) (y : Vec J) :
48
+ mpair M (vecMulVec x y) = evmat M x y := by
49
+ dsimp [mpair,evmat,mulVec,dotProduct,vecMulVec]
50
+ simp only [Finset.mul_sum,mul_left_comm]
51
+
52
+ /-- Apply frame maps to the two factors of every tensor. -/
53
+ def liftM (P : Mat K I) (Q : Mat L J) : Mat I J →ₗ[F] Mat K L where
54
+ toFun A := P*A*Qᵀ
55
+ map_add' A B := by rw [Matrix.mul_add,Matrix.add_mul]
56
+ map_smul' b A := by simp only [Matrix.mul_smul, Matrix.smul_mul,RingHom.id_apply]
57
+
58
+ theorem liftM_def (P : Mat K I) (Q : Mat L J) (A : Mat I J) :
59
+ liftM P Q A = P*A*Qᵀ := rfl
60
+
61
+ theorem liftM_outer (P : Mat K I) (Q : Mat L J) (x : Vec I) (y : Vec J) :
62
+ liftM P Q (vecMulVec x y) = vecMulVec (P *ᵥ x) (Q *ᵥ y) := by
63
+ rw [liftM_def,mul_vecMulVec,vecMulVec_mul,vecMul_transpose]
64
+
65
+ variable [Fintype K] [Fintype L]
66
+
67
+ theorem liftM_comp (P : Mat K I) (Q : Mat L J) (P' : Mat R K) (Q' : Mat S L)
68
+ (A : Mat I J) :
69
+ liftM P' Q' (liftM P Q A) = liftM (P'*P) (Q'*Q) A := by
70
+ simp only [liftM_def, Matrix.transpose_mul,Matrix.mul_assoc]
71
+
72
+ theorem mpair_liftM (P : Mat K I) (Q : Mat L J) (M : Mat K L) (A : Mat I J) :
73
+ mpair M (liftM P Q A) = mpair (liftM Pᵀ Qᵀ M) A := by
74
+
75
+ simp only [liftM_def, mpair, transpose_transpose, LinearMap.coe_mk,AddHom.coe_mk,
76
+ Matrix.mul_apply, Finset.sum_mul, Finset.mul_sum, transpose_apply]
77
+
78
+ conv_lhs =>
79
+ arg 2
80
+ intro k
81
+ rw [Finset.sum_comm]
82
+ rw [Finset.sum_comm]
83
+
84
+ conv_rhs => rw [Finset.sum_comm]
85
+ refine Finset.sum_congr rfl fun j _ => ?_
86
+ conv_lhs =>
87
+ arg 2
88
+ intro k
89
+ rw [Finset.sum_comm]
90
+ rw [Finset.sum_comm]
91
+ refine Finset.sum_congr rfl fun i _ => ?_
92
+ rw [Finset.sum_comm]
93
+ refine Finset.sum_congr rfl fun l _ => Finset.sum_congr rfl fun k _ => ?_
94
+ ring
95
+
96
+ theorem mat_left_inv [DecidableEq I] {P : Mat K I} (hp : Function.Injective P.mulVec) :
97
+ ∃ Q : Mat I K, Q*P = 1 := by
98
+ classical
99
+ have hp' : Function.Injective (P.mulVecLin) := hp
100
+ obtain ⟨f,hf⟩ := P.mulVecLin.exists_leftInverse_of_injective (LinearMap.ker_eq_bot.mpr hp')
101
+ refine ⟨LinearMap.toMatrix' f, ?_⟩
102
+ apply Matrix.toLin'.injective
103
+ rw [Matrix.toLin'_mul]
104
+ simp only [Matrix.toLin'_one]
105
+ change ((LinearMap.toMatrix').symm _) ∘ₗ _ = _
106
+ rw [LinearEquiv.symm_apply_apply]
107
+ exact hf
108
+
109
+ theorem liftM_inj {P : Mat K I} {Q : Mat L J} (hp : Function.Injective P.mulVec)
110
+ (hq : Function.Injective Q.mulVec) : Function.Injective (liftM P Q) := by
111
+ classical
112
+ obtain ⟨P', hP⟩ := mat_left_inv hp
113
+ obtain ⟨Q', hQ⟩ := mat_left_inv hq
114
+ intro A B hab
115
+ have hh := congrArg (liftM P' Q') hab
116
+ rw [liftM_comp,liftM_comp,hP,hQ] at hh
117
+ simpa only [liftM_def, Matrix.one_mul, Matrix.transpose_one,
118
+ Matrix.mul_one] using hh
119
+
120
+ end Linear
121
+ end HadwigerCounterexample
122
+
123
+ end
124
+
125
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BinaryMixingBounds.lean CHANGED
@@ -1,106 +1,106 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.KeyTestCorrespondence
2
-
3
- namespace OAI
4
-
5
- /-! # Binary Mixing Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Filter Matrix Function
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
- namespace Template
13
- variable (v : Template p I)
14
-
15
- def kappa := wavelength v.Abbey
16
- omit [DecidableEq I] in
17
- theorem kappa_pos : 0<v.kappa := wavelength_pos _
18
-
19
- def diffsel (v : Template p I) := ∀ i j, i≠j → v.aim i=v.aim j → v.s i≠ v.s j
20
-
21
- omit [DecidableEq I] in
22
- theorem choral_live (v : Template p I) (m : Mixer p n) (hm : binaryGood m)
23
- (x : UnitType p n N) (hx : litFire p x) (hv : v.diffsel)
24
- (i : v.Chorus) (c : Vec (v.Abbey i)) (hc : c≠0) :
25
- let j := v.choral.first i; let l := v.choral.nextP i
26
- ∃ B, (v.f j).keeps (v.t j) B ∧ (v.f l).keeps (v.t l) B ∧
27
- n≤5*blockRank B (v.s j) (v.s l) (v.chorusM m x i c) := by
28
- classical
29
- rcases i with i|i
30
- · intro j l
31
- let a : Vec (MBits p) := fun y => c (.inl y)
32
- let b : Vec Bool := fun y => c (.inr y)
33
- have hh : v.s j≠v.s l := hv j l (v.choral.diff (.inl i)) i.property.1
34
- by_cases h : a=0
35
- · refine ⟨Block.sharp,Flavor.keepSharp ..,Flavor.keepSharp ..,?_⟩
36
- have he : indexedSum m a=0 := by simp [h,indexedSum]
37
- rw [chorus_same]
38
- change n ≤ 5*blockRank _ _ _ (indexedSum m a+selfSum m b)
39
- rw [he,zero_add]
40
- have hz : b≠0 := by
41
- intro hb; apply hc; funext y
42
- cases y
43
- next l => exact congr_fun h l
44
- next l => exact congr_fun hb l
45
- exact (hm _ _ hh).2 b hz
46
- refine ⟨Block.Z,Flavor.keepZ ..,Flavor.keepZ ..,?_⟩
47
- rw [chorus_same]; exact (hm _ _ hh).1 a b h
48
- intro j l; refine ⟨Block.Z,Flavor.keepZ ..,Flavor.keepZ ..,?_⟩
49
- obtain ⟨w,hw,hh⟩ := chorus_cross v m x i c hc
50
- rw [hh]; exact hx _ _ w hw
51
-
52
- theorem resonant (v : Template p I) (m : Mixer p n) (hm : binaryGood m)
53
- (x : UnitType p n N) (hx : litFire p x) (hv : v.diffsel)
54
- (w : I → Wgt (Knobs p.g n)) (hw : ∀ i,IsLaw (w i))
55
- (C : ℝ) (hC : 0 < C) (hc : ∀ i j,w i j ≤ C*unif j)
56
- (s : Script p I) :
57
- ∀ u : I → Wgt (Knobs p.g n),(∀ i x, |u i x|≤1) →
58
- |avg (prodW w) (fun z => ind (v.performs s m x z)*prodW u z) -
59
- v.kappa * ∏ i:I,avg (w i) (u i)|≤ C^2*bp (-(n:ℝ)/10) := by
60
- classical
61
- refine hear_band v.choral (v.chime m x) (v.lyrics s) w hw _
62
- (mul_nonneg (sq_nonneg _) (bp_pos _).le) ?_
63
- intro i c hc' p q hp hq
64
- obtain ⟨b,hb,hb',hz⟩ := v.choral_live m hm x hx hv i c hc'
65
- simp_rw [vectorPhase,v.chime_seq]
66
- exact spark_condition _ (v.chorusM m x i c) _ _ _ _ _ _ b hb hb' p q hp hq
67
- _ _ (hw _) (hw _) C hC (hc _) (hc _) hz
68
-
69
- theorem resonance_calendar (v : Template p I) (M : ℕ) (hM : 4≤ M) (C L : ℝ) (hL : 0<L) :
70
- ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ m : Mixer p n, binaryGood m →
71
- v.diffsel → 2*num (Full p n)<N → ∀ ρ : Wgt (UnitType p n N),
72
- (∀ i,ρ i ≤ bp (C*N)*pairW (raw m N) (raw m N) i) →
73
- pr ρ (fun i=>¬litFire p i) ≤ bp (-(n:ℝ)*n/8) ∧
74
- ∀ x : UnitType p n N,litFire p x →
75
- ∀ w : I → Wgt (Knobs p.g n),(∀ i,IsLaw (w i)) →
76
- (∀ i j,w i j≤ L*unif j) →
77
- ∀ (s : Script p I) (u : I→ Wgt (Knobs p.g n)),(∀ i j,|u i j|≤1) →
78
- |avg (prodW w) (fun z => ind (v.performs s m x z)*prodW u z) -
79
- v.kappa*∏ i:I,avg (w i) (u i)| ≤ bp (-(1/20:ℝ)*n) := by
80
- filter_upwards [litFire_calendar p C M hM,pay_nat (a:=1/10) (b:=1/20) (L^2) (by norm_num)]
81
- with n hn ha N m hm hv hN ρ hρ
82
- refine ⟨hn m hN ρ hρ,fun x hx w hw hh s u hu => ?_⟩
83
- exact (resonant v m hm x hx hv w hw L hL hh s u hu).trans
84
- (by rw [show -(↑n:ℝ)/10 = -(1/10:ℝ)*n by ring]; exact ha)
85
- end Template
86
-
87
- theorem scanCap (p : Shape) {n : ℕ} (l : Tag p.g) (z : Digest p.g)
88
- (f : Flavor p.g) (hr : 1 ≤ p.r) (hn : 2*p.r≤n) (h : z.feasible l f) :
89
- ∀ x,scopedScan p n l f z x≤(scanPrice p)⁻¹*unif x := by
90
- intro x
91
- refine (on_mon (spins_law p n).nz (scanPrice_pos p) (scan_fraction l f z hr hn h)
92
- x).trans_eq ?_
93
- rw [spins,← draws_unif]
94
-
95
- theorem dialCap (p : Shape) {n : ℕ} (l : Tag p.g) (z : F)
96
- (f : Flavor p.g) (hr : 1 ≤ p.r) (hn : 2*p.r≤n) (h : canDial p l f z) :
97
- ∀ x,scopedBit p n l f z x≤(scanPrice p)⁻¹*unif x := by
98
- intro x
99
- refine (on_mon (spins_law p n).nz (scanPrice_pos p) (dial_fraction p n _ _ _ hr hn h)
100
- x).trans_eq ?_
101
- rw [spins,← draws_unif]
102
- end HadwigerCounterexample
103
-
104
- end
105
-
106
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.KeyTestCorrespondence
2
+
3
+ namespace OAI
4
+
5
+ /-! # Binary Mixing Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Filter Matrix Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
+ namespace Template
13
+ variable (v : Template p I)
14
+
15
+ def kappa := wavelength v.Abbey
16
+ omit [DecidableEq I] in
17
+ theorem kappa_pos : 0<v.kappa := wavelength_pos _
18
+
19
+ def diffsel (v : Template p I) := ∀ i j, i≠j → v.aim i=v.aim j → v.s i≠ v.s j
20
+
21
+ omit [DecidableEq I] in
22
+ theorem choral_live (v : Template p I) (m : Mixer p n) (hm : binaryGood m)
23
+ (x : UnitType p n N) (hx : litFire p x) (hv : v.diffsel)
24
+ (i : v.Chorus) (c : Vec (v.Abbey i)) (hc : c≠0) :
25
+ let j := v.choral.first i; let l := v.choral.nextP i
26
+ ∃ B, (v.f j).keeps (v.t j) B ∧ (v.f l).keeps (v.t l) B ∧
27
+ n≤5*blockRank B (v.s j) (v.s l) (v.chorusM m x i c) := by
28
+ classical
29
+ rcases i with i|i
30
+ · intro j l
31
+ let a : Vec (MBits p) := fun y => c (.inl y)
32
+ let b : Vec Bool := fun y => c (.inr y)
33
+ have hh : v.s j≠v.s l := hv j l (v.choral.diff (.inl i)) i.property.1
34
+ by_cases h : a=0
35
+ · refine ⟨Block.sharp,Flavor.keepSharp ..,Flavor.keepSharp ..,?_⟩
36
+ have he : indexedSum m a=0 := by simp [h,indexedSum]
37
+ rw [chorus_same]
38
+ change n ≤ 5*blockRank _ _ _ (indexedSum m a+selfSum m b)
39
+ rw [he,zero_add]
40
+ have hz : b≠0 := by
41
+ intro hb; apply hc; funext y
42
+ cases y
43
+ next l => exact congr_fun h l
44
+ next l => exact congr_fun hb l
45
+ exact (hm _ _ hh).2 b hz
46
+ refine ⟨Block.Z,Flavor.keepZ ..,Flavor.keepZ ..,?_⟩
47
+ rw [chorus_same]; exact (hm _ _ hh).1 a b h
48
+ intro j l; refine ⟨Block.Z,Flavor.keepZ ..,Flavor.keepZ ..,?_⟩
49
+ obtain ⟨w,hw,hh⟩ := chorus_cross v m x i c hc
50
+ rw [hh]; exact hx _ _ w hw
51
+
52
+ theorem resonant (v : Template p I) (m : Mixer p n) (hm : binaryGood m)
53
+ (x : UnitType p n N) (hx : litFire p x) (hv : v.diffsel)
54
+ (w : I → Wgt (Knobs p.g n)) (hw : ∀ i,IsLaw (w i))
55
+ (C : ℝ) (hC : 0 < C) (hc : ∀ i j,w i j ≤ C*unif j)
56
+ (s : Script p I) :
57
+ ∀ u : I → Wgt (Knobs p.g n),(∀ i x, |u i x|≤1) →
58
+ |avg (prodW w) (fun z => ind (v.performs s m x z)*prodW u z) -
59
+ v.kappa * ∏ i:I,avg (w i) (u i)|≤ C^2*bp (-(n:ℝ)/10) := by
60
+ classical
61
+ refine hear_band v.choral (v.chime m x) (v.lyrics s) w hw _
62
+ (mul_nonneg (sq_nonneg _) (bp_pos _).le) ?_
63
+ intro i c hc' p q hp hq
64
+ obtain ⟨b,hb,hb',hz⟩ := v.choral_live m hm x hx hv i c hc'
65
+ simp_rw [vectorPhase,v.chime_seq]
66
+ exact spark_condition _ (v.chorusM m x i c) _ _ _ _ _ _ b hb hb' p q hp hq
67
+ _ _ (hw _) (hw _) C hC (hc _) (hc _) hz
68
+
69
+ theorem resonance_calendar (v : Template p I) (M : ℕ) (hM : 4≤ M) (C L : ℝ) (hL : 0<L) :
70
+ ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ m : Mixer p n, binaryGood m →
71
+ v.diffsel → 2*num (Full p n)<N → ∀ ρ : Wgt (UnitType p n N),
72
+ (∀ i,ρ i ≤ bp (C*N)*pairW (raw m N) (raw m N) i) →
73
+ pr ρ (fun i=>¬litFire p i) ≤ bp (-(n:ℝ)*n/8) ∧
74
+ ∀ x : UnitType p n N,litFire p x →
75
+ ∀ w : I → Wgt (Knobs p.g n),(∀ i,IsLaw (w i)) →
76
+ (∀ i j,w i j≤ L*unif j) →
77
+ ∀ (s : Script p I) (u : I→ Wgt (Knobs p.g n)),(∀ i j,|u i j|≤1) →
78
+ |avg (prodW w) (fun z => ind (v.performs s m x z)*prodW u z) -
79
+ v.kappa*∏ i:I,avg (w i) (u i)| ≤ bp (-(1/20:ℝ)*n) := by
80
+ filter_upwards [litFire_calendar p C M hM,pay_nat (a:=1/10) (b:=1/20) (L^2) (by norm_num)]
81
+ with n hn ha N m hm hv hN ρ hρ
82
+ refine ⟨hn m hN ρ hρ,fun x hx w hw hh s u hu => ?_⟩
83
+ exact (resonant v m hm x hx hv w hw L hL hh s u hu).trans
84
+ (by rw [show -(↑n:ℝ)/10 = -(1/10:ℝ)*n by ring]; exact ha)
85
+ end Template
86
+
87
+ theorem scanCap (p : Shape) {n : ℕ} (l : Tag p.g) (z : Digest p.g)
88
+ (f : Flavor p.g) (hr : 1 ≤ p.r) (hn : 2*p.r≤n) (h : z.feasible l f) :
89
+ ∀ x,scopedScan p n l f z x≤(scanPrice p)⁻¹*unif x := by
90
+ intro x
91
+ refine (on_mon (spins_law p n).nz (scanPrice_pos p) (scan_fraction l f z hr hn h)
92
+ x).trans_eq ?_
93
+ rw [spins,← draws_unif]
94
+
95
+ theorem dialCap (p : Shape) {n : ℕ} (l : Tag p.g) (z : F)
96
+ (f : Flavor p.g) (hr : 1 ≤ p.r) (hn : 2*p.r≤n) (h : canDial p l f z) :
97
+ ∀ x,scopedBit p n l f z x≤(scanPrice p)⁻¹*unif x := by
98
+ intro x
99
+ refine (on_mon (spins_law p n).nz (scanPrice_pos p) (dial_fraction p n _ _ _ hr hn h)
100
+ x).trans_eq ?_
101
+ rw [spins,← draws_unif]
102
+ end HadwigerCounterexample
103
+
104
+ end
105
+
106
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BinaryPrescriptions.lean CHANGED
@@ -1,265 +1,265 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RealizationConditions
2
- import OAI.Combinatorics.HadwigerCounterexample.MixerConditions
3
-
4
- namespace OAI
5
-
6
- /-! # Binary Prescriptions -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
-
11
- open scoped BigOperators
12
- open Matrix Finset
13
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
14
-
15
- /-- list for a cross edge -/
16
- def aiming (a b : I → Bool) (i j : Bool) :=
17
- Finset.univ.filter (fun x => a x=i ∧ b x=j)
18
-
19
- /-- within-endpoint L/R bit tests. Read only a x=a y, x≠y.
20
- (tests between ordered points; no double counting since L,R and
21
- both orientations are in the mixer hypothesis). -/
22
- abbrev Script (p : Shape) (I : Type) := I → I → Vec (MOne p)
23
-
24
- namespace Volley
25
- variable (v : Volley p n I)
26
- def reads (s : Script p I) (m : Mixer p n) :=
27
- ∀ x y : I,x≠y → v.obj x=v.obj y →
28
- ∀ i : MOne p, s x y i = evmat (orderedM m i) (v.rayAt x) (v.rayAt y)
29
- end Volley
30
-
31
- def prescribedB (p : Shape) (t : Tagging p I) (s : Script p I) (x y : I) :=
32
- ∑ i : Fin p.J,∑ e : Comp p.g, ∑ f : Comp p.g, if inc e (t x) ∧ inc f (t y) then
33
- s x y ((i,e,f),true)*s x y ((i,e,f),false) else 0
34
-
35
- noncomputable def prescribedT (p : Shape) (t : Tagging p I) (d : Vec I)
36
- (h : Mat I I) (s : Script p I) (x y : I) : F :=
37
- @ite _ (x=y) (Classical.propDecidable _) (d x)
38
- (h x y+(prescribedB p t s x y+prescribedB p t s y x))
39
-
40
- def fulfills (p : Shape) (t : Tagging p I) (d f : Vec I) (u : Mat I I)
41
- (s : Script p I) (a b : I → Bool) :=
42
- ∀ (x : I) (j : Bool),
43
- d x+ (∑ i∈aiming a b (a x) j, prescribedT p t d u s i x) =
44
- if j=b x then 0 else f x
45
-
46
- namespace Volley
47
- variable {v : Volley p n I}
48
-
49
- omit [Fintype I] in
50
- private theorem B1_eval {s : Script p I} (t : Tagging p I) (m : Mixer p n)
51
- (ha : v.reads s m) {x y : I} (hg : x ≠ y) (hh : v.obj x=v.obj y) :
52
- B1 m (v.atomAt t x) (v.atomAt t y)=prescribedB p t s x y := by
53
- classical
54
- change ∑ i : Fin p.J, _ = _
55
- refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun e _ =>
56
- Finset.sum_congr rfl fun f _ => ?_
57
- by_cases he : inc e (t x)
58
- · by_cases hf : inc f (t y)
59
- · rw [ite_eq_left ⟨he,hf⟩,ha x y hg hh,ha x y hg hh]
60
- simp only [atomAt,atom_def,he,hf,ite_true,mom,liftM_outer,pair_outers]
61
- rfl
62
- rw [ite_eq_right (show ¬ (_ ∧ _) from fun h => hf h.2)]
63
- simp only [atomAt,atom_def,hf,ite_false,map_zero]
64
- rw [ite_eq_right (show ¬ (_ ∧ _) from fun h => he h.1)]
65
- simp only [atomAt,atom_def,he,ite_false]
66
- rw [mpair_comm,map_zero]
67
-
68
- theorem grads_by_script (t : Tagging p I) (m : Mixer p n) (w : Volley p n I)
69
- (y : UnitType p n N) {d f : Vec I} {u : Mat I I} {s : Script p I}
70
- (h : fulfills p t d f u s v.obj w.obj) (hs : v.reads s m)
71
- (hd : ∀ x,role p n (v.atomAt t x)=d x)
72
- (hf : ∀ x,innerP p y (w.obj x) (w.atomAt t x)=f x)
73
- (hu : ∀ x y : I,T0 p n (v.atomAt t x) (v.atomAt t y)=u x y) :
74
- v.attackGrad w t m y := by
75
- classical
76
- intro x j
77
- rw [grad_val,hd,hf,sumAt,map_sum,LinearMap.sum_apply]
78
- rw [← h x j]; congr 1
79
- refine Finset.sum_congr rfl fun i hi => ?_
80
- unfold prescribedT
81
- split
82
- · rename_i he
83
- subst x
84
- rw [T_diag,hd]
85
- rename_i he
86
- have hx := (Finset.mem_filter.mp hi).2.1
87
- rw [Tsym_val,hu, B1_eval t m hs he hx,B1_eval t m hs (Ne.symm he) hx.symm]
88
- end Volley
89
-
90
- /-- Solve symmetric row sums at one endpoint. Couple via opposite
91
- same-target pmiss/role sum equality. Only the resulting necessary
92
- (common d+f sum) is used as input here. -/
93
- private theorem binary_plan (a b : I→Bool) (i : Bool) (d f : Vec I)
94
- (h : (∑ j∈aiming a b i true,(d j+f j))=∑ j∈aiming a b i false,(d j+f j))
95
- (h' : ∀ j,(aiming a b i j).Nonempty) :
96
- ∃ M : Mat I I, Mᵀ=M ∧ (∀ x,M x x=d x) ∧ ∀ j : Bool,∀ x∈Finset.univ.filter (fun l => a l=i),
97
- (∑ l∈aiming a b i j,M l x) = d x+(if j=b x then 0 else f x) := by
98
- classical
99
- let S := aiming a b i
100
- let X : Mat I Bool := Matrix.of (fun i j => if i∈S j then 1 else 0)
101
- let V : Mat I Bool := Matrix.of (fun x j => d x + (if j=b x then 0 else f x))
102
- let D := Matrix.diagonal d
103
- let Y := V+D*X
104
- obtain ⟨L,hL⟩ := mat_left_inv (P:=X) (by
105
- intro x y he
106
- funext j
107
- obtain ⟨v,hv⟩ := h' j
108
- have ha := (Finset.mem_filter.mp hv).2
109
- have heq (x) : (X *ᵥ x) v=x j := by
110
- unfold X Matrix.mulVec dotProduct
111
- rw [Finset.sum_eq_single j]
112
- · simp [hv,S]
113
- · intro k _ hk; simp [S,aiming,ha,hk.symm]
114
- simp
115
- rw [← heq x,← heq y,he])
116
- let B := Xᵀ*Y
117
- have hg (j k : Bool) : B j k=if j=k then 0 else (∑ l∈S j,(d l+f l)) := by
118
- have hi {l : I} (hh : l∈S j) : a l=i ∧ b l=j := (Finset.mem_filter.mp hh).2
119
- have hy {l : I} (hL : l∈S j) :
120
- Y l k= (if j=k then 0 else d l+f l) := by
121
- unfold Y V X; rw [Matrix.add_apply,Matrix.of_apply,Matrix.diagonal_mul,Matrix.of_apply]
122
- by_cases h : j=k
123
- · subst k
124
- simp only [(hi hL).2,hL,ite_true,add_zero,mul_one,char_two]
125
- have hv : l∉S k := fun hw => h ((hi hL).2.symm.trans (Finset.mem_filter.mp hw).2.2)
126
- simp [h,Ne.symm h,(hi hL).2,hv]
127
- have ht (l : I) : X l j*Y l k= if l∈S j then Y l k else 0 := by
128
- by_cases hv : l∈S j <;> simp [X,hv]
129
- unfold B; rw [Matrix.mul_apply]
130
- simp_rw [Matrix.transpose_apply,ht,← Finset.sum_filter]
131
- rw [show Finset.univ.filter (fun x => x∈S j)=S j from (by simp)]
132
- by_cases g : j=k
133
- · rw [ite_eq_left g]
134
- exact Finset.sum_eq_zero fun l hl => (hy hl).trans (ite_eq_left g)
135
- rw [ite_eq_right g]
136
- exact Finset.sum_congr rfl fun l hl => (hy hl).trans (ite_eq_right g)
137
- have ha (j : Bool) : B j j=0 := by rw [hg,ite_eq_left rfl]
138
- have hB : Bᵀ=B := by
139
- ext j k
140
- rw [Matrix.transpose_apply,hg,hg]
141
- cases j <;> cases k
142
- all_goals simp
143
- · exact h
144
- exact h.symm
145
- let W := Lᵀ*B*L
146
- have hW : Wᵀ=W := by unfold W; simp only [transpose_mul,transpose_transpose,hB,Matrix.mul_assoc]
147
- have hw (x : I) : W x x=0 := by
148
- unfold W
149
- have hf : B false true=B true false := congr_fun (congr_fun hB true) false
150
- simp only [Matrix.mul_apply,Fintype.sum_bool,Matrix.transpose_apply,ha,mul_zero,zero_add,
151
- add_zero,hf]
152
- rw [mul_right_comm (L false x), show L true x * B true false * L false x=
153
- L false x * L true x * B true false from (by ring),char_two]
154
- let Z := Y*L+(Y*L)ᵀ + W
155
- have he : (D+Z)*X=V := by
156
- have he : (Y*L)ᵀ*X=W*X := by
157
- unfold W
158
- have hh : Yᵀ * X=B := by
159
- have ht : Bᵀ=Yᵀ*X := by unfold B; rw [Matrix.transpose_mul,transpose_transpose]
160
- rw [← ht,hB]
161
- rw [Matrix.transpose_mul,Matrix.mul_assoc Lᵀ Yᵀ X,hh,Matrix.mul_assoc _ L X,hL,
162
- Matrix.mul_one]
163
- unfold Z
164
- rw [Matrix.add_mul,Matrix.add_mul,Matrix.add_mul,Matrix.mul_assoc Y L X,hL,
165
- Matrix.mul_one,he,add_assoc Y,char_two,add_zero]
166
- unfold Y
167
- rw [add_left_comm,char_two,add_zero]
168
- refine ⟨D+Z,?_,?_,fun j x hx => ?_⟩
169
- · unfold Z D
170
- simp only [transpose_add,Matrix.diagonal_transpose,transpose_transpose,hW]
171
- ac_rfl
172
- · intro x
173
- unfold D Z
174
- simp only [Matrix.add_apply,Matrix.diagonal_apply_eq,Matrix.transpose_apply,hw,
175
- char_two,add_zero]
176
- let Q := D+Z
177
- have hq : Qᵀ=Q := by
178
- unfold Q Z D
179
- simp only [transpose_add,Matrix.diagonal_transpose,transpose_transpose,hW]
180
- ac_rfl
181
- have h1 : (Q * X) x j= _ := congr_fun (congr_fun he x) j
182
- rw [Matrix.mul_apply] at h1
183
- have hy : ∑ l∈S j, Q l x =∑ l, Q x l * X l j := by
184
- conv_rhs => unfold X
185
- simp only [Matrix.of_apply,mul_ite,mul_one,mul_zero, ←Finset.sum_filter]
186
- rw [show Finset.univ.filter (fun x => x∈ S j)=S j from (by simp)]
187
- exact Finset.sum_congr rfl fun l _ => congr_fun (congr_fun hq x) l
188
- exact hy.trans h1
189
-
190
- omit [Fintype I] in
191
- private theorem scripted (p : Shape) (t : Tagging p I) (g : I→I→F)
192
- (h : 2≤p.g) (hJ : 1 ≤ p.J) :
193
- ∃ s : Script p I,∀ x y,prescribedB p t s x y=g x y := by
194
- classical
195
- have hh (x : I) : ∃ i : Comp p.g,inc i (t x) := by
196
- have he := card_star (t x)
197
- have hi : Nonempty (TagStar (t x)) := Fintype.card_pos_iff.mp (by omega)
198
- obtain ⟨⟨i,h⟩⟩ := hi
199
- exact ⟨i,h⟩
200
- choose q hq using hh
201
- let i0 : Fin p.J := ⟨0,hJ⟩
202
- let s : Script p I := fun x y i =>
203
- if i.1=(i0,q x,q y) then if i.2 then g x y else 1 else 0
204
- refine ⟨s,fun x y => ?_⟩
205
- unfold prescribedB
206
- rw [Finset.sum_eq_single i0]
207
- · rw [Finset.sum_eq_single (q x)]
208
- · rw [Finset.sum_eq_single (q y)]
209
- · simp [s,hq]
210
- · intro i _ hi; simp [s,hi]
211
- simp
212
- · intro i _ hi; simp [s,hi]
213
- simp
214
- · intro i _ hi; simp [s,hi]
215
- simp
216
-
217
- set_option maxHeartbeats 600000 in
218
- theorem choose_script (p : Shape) (t : Tagging p I) (a b : I→Bool)
219
- (d : Vec I)
220
- (f : Vec I)
221
- (d' : Vec I)
222
- (h : ∀ i : Bool,(∑ x∈aiming a b i true,(d' x+f x)) =
223
- ∑ x∈aiming a b i false,(d' x+f x))
224
- (ha : ∀ i j : Bool, ∑ x∈aiming a b i j,(d x+d' x)=1)
225
- (hc : ∀ i j : Bool,(aiming a b i j).Nonempty)
226
- (u : Mat I I) (hu : uᵀ=u)
227
- (hg : 2≤p.g) (hi : 1≤p.J) :
228
- ∃ s : Script p I, fulfills p t d f u s a b := by
229
- classical
230
- have hh (i j : Bool) :
231
- (∑ x∈aiming a b i j,(d x+f x))=1+ ∑ x∈aiming a b i j,(d' x+f x) := by
232
- rw [←ha,← Finset.sum_add_distrib]
233
- refine Finset.sum_congr rfl fun x _ => ?_
234
- rw [add_assoc,←add_assoc (d' x),char_two,zero_add]
235
- choose M hM hD hA using fun i : Bool => binary_plan a b i d f (by rw [hh,hh,h]) (hc i)
236
- let F' := Fintype.equivFin I
237
- let g (x y : I) := if F' x < F' y then M (a x) x y+u x y else 0
238
- obtain ⟨s,hs⟩ := scripted p t g hg hi
239
- have hf (x y : I) (h : a x=a y) : prescribedT p t d u s x y=M (a x) x y := by
240
- unfold prescribedT
241
- split
242
- · rename_i he
243
- subst y
244
- exact (hD _ _).symm
245
- rename_i he
246
- rw [hs x y, hs y x]
247
- rcases lt_or_gt_of_ne (show F' x ≠ F' y from fun h => he (F'.injective h)) with e|e
248
- · simp only [g, ite_eq_left e,ite_eq_right (not_lt.mpr e.le),add_zero]
249
- rw [add_left_comm,char_two,add_zero]
250
- simp only [g,ite_eq_left e,ite_eq_right (not_lt.mpr e.le),zero_add]
251
- rw [←h,show u y x=u x y from congr_fun (congr_fun hu x) y,
252
- show M (a x) y x=M (a x) x y from congr_fun (congr_fun (hM (a x)) x) y]
253
- rw [add_left_comm,char_two,add_zero]
254
- refine ⟨s,fun x j => ?_⟩
255
- let S := aiming a b (a x) j
256
- have he : ∑ i∈S,prescribedT p t d u s i x=∑ i∈S,M (a x) i x :=
257
- Finset.sum_congr rfl fun i hi => by
258
- have hm : a i=a x := (Finset.mem_filter.mp hi).2.1
259
- rw [hf i x hm,hm]
260
- rw [he,hA (a x) j x (by simp), ← add_assoc, char_two,zero_add]
261
- end HadwigerCounterexample
262
-
263
- end
264
-
265
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RealizationConditions
2
+ import OAI.Combinatorics.HadwigerCounterexample.MixerConditions
3
+
4
+ namespace OAI
5
+
6
+ /-! # Binary Prescriptions -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+
11
+ open scoped BigOperators
12
+ open Matrix Finset
13
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
14
+
15
+ /-- list for a cross edge -/
16
+ def aiming (a b : I → Bool) (i j : Bool) :=
17
+ Finset.univ.filter (fun x => a x=i ∧ b x=j)
18
+
19
+ /-- within-endpoint L/R bit tests. Read only a x=a y, x≠y.
20
+ (tests between ordered points; no double counting since L,R and
21
+ both orientations are in the mixer hypothesis). -/
22
+ abbrev Script (p : Shape) (I : Type) := I → I → Vec (MOne p)
23
+
24
+ namespace Volley
25
+ variable (v : Volley p n I)
26
+ def reads (s : Script p I) (m : Mixer p n) :=
27
+ ∀ x y : I,x≠y → v.obj x=v.obj y →
28
+ ∀ i : MOne p, s x y i = evmat (orderedM m i) (v.rayAt x) (v.rayAt y)
29
+ end Volley
30
+
31
+ def prescribedB (p : Shape) (t : Tagging p I) (s : Script p I) (x y : I) :=
32
+ ∑ i : Fin p.J,∑ e : Comp p.g, ∑ f : Comp p.g, if inc e (t x) ∧ inc f (t y) then
33
+ s x y ((i,e,f),true)*s x y ((i,e,f),false) else 0
34
+
35
+ noncomputable def prescribedT (p : Shape) (t : Tagging p I) (d : Vec I)
36
+ (h : Mat I I) (s : Script p I) (x y : I) : F :=
37
+ @ite _ (x=y) (Classical.propDecidable _) (d x)
38
+ (h x y+(prescribedB p t s x y+prescribedB p t s y x))
39
+
40
+ def fulfills (p : Shape) (t : Tagging p I) (d f : Vec I) (u : Mat I I)
41
+ (s : Script p I) (a b : I → Bool) :=
42
+ ∀ (x : I) (j : Bool),
43
+ d x+ (∑ i∈aiming a b (a x) j, prescribedT p t d u s i x) =
44
+ if j=b x then 0 else f x
45
+
46
+ namespace Volley
47
+ variable {v : Volley p n I}
48
+
49
+ omit [Fintype I] in
50
+ private theorem B1_eval {s : Script p I} (t : Tagging p I) (m : Mixer p n)
51
+ (ha : v.reads s m) {x y : I} (hg : x ≠ y) (hh : v.obj x=v.obj y) :
52
+ B1 m (v.atomAt t x) (v.atomAt t y)=prescribedB p t s x y := by
53
+ classical
54
+ change ∑ i : Fin p.J, _ = _
55
+ refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun e _ =>
56
+ Finset.sum_congr rfl fun f _ => ?_
57
+ by_cases he : inc e (t x)
58
+ · by_cases hf : inc f (t y)
59
+ · rw [ite_eq_left ⟨he,hf⟩,ha x y hg hh,ha x y hg hh]
60
+ simp only [atomAt,atom_def,he,hf,ite_true,mom,liftM_outer,pair_outers]
61
+ rfl
62
+ rw [ite_eq_right (show ¬ (_ ∧ _) from fun h => hf h.2)]
63
+ simp only [atomAt,atom_def,hf,ite_false,map_zero]
64
+ rw [ite_eq_right (show ¬ (_ ∧ _) from fun h => he h.1)]
65
+ simp only [atomAt,atom_def,he,ite_false]
66
+ rw [mpair_comm,map_zero]
67
+
68
+ theorem grads_by_script (t : Tagging p I) (m : Mixer p n) (w : Volley p n I)
69
+ (y : UnitType p n N) {d f : Vec I} {u : Mat I I} {s : Script p I}
70
+ (h : fulfills p t d f u s v.obj w.obj) (hs : v.reads s m)
71
+ (hd : ∀ x,role p n (v.atomAt t x)=d x)
72
+ (hf : ∀ x,innerP p y (w.obj x) (w.atomAt t x)=f x)
73
+ (hu : ∀ x y : I,T0 p n (v.atomAt t x) (v.atomAt t y)=u x y) :
74
+ v.attackGrad w t m y := by
75
+ classical
76
+ intro x j
77
+ rw [grad_val,hd,hf,sumAt,map_sum,LinearMap.sum_apply]
78
+ rw [← h x j]; congr 1
79
+ refine Finset.sum_congr rfl fun i hi => ?_
80
+ unfold prescribedT
81
+ split
82
+ · rename_i he
83
+ subst x
84
+ rw [T_diag,hd]
85
+ rename_i he
86
+ have hx := (Finset.mem_filter.mp hi).2.1
87
+ rw [Tsym_val,hu, B1_eval t m hs he hx,B1_eval t m hs (Ne.symm he) hx.symm]
88
+ end Volley
89
+
90
+ /-- Solve symmetric row sums at one endpoint. Couple via opposite
91
+ same-target pmiss/role sum equality. Only the resulting necessary
92
+ (common d+f sum) is used as input here. -/
93
+ private theorem binary_plan (a b : I→Bool) (i : Bool) (d f : Vec I)
94
+ (h : (∑ j∈aiming a b i true,(d j+f j))=∑ j∈aiming a b i false,(d j+f j))
95
+ (h' : ∀ j,(aiming a b i j).Nonempty) :
96
+ ∃ M : Mat I I, Mᵀ=M ∧ (∀ x,M x x=d x) ∧ ∀ j : Bool,∀ x∈Finset.univ.filter (fun l => a l=i),
97
+ (∑ l∈aiming a b i j,M l x) = d x+(if j=b x then 0 else f x) := by
98
+ classical
99
+ let S := aiming a b i
100
+ let X : Mat I Bool := Matrix.of (fun i j => if i∈S j then 1 else 0)
101
+ let V : Mat I Bool := Matrix.of (fun x j => d x + (if j=b x then 0 else f x))
102
+ let D := Matrix.diagonal d
103
+ let Y := V+D*X
104
+ obtain ⟨L,hL⟩ := mat_left_inv (P:=X) (by
105
+ intro x y he
106
+ funext j
107
+ obtain ⟨v,hv⟩ := h' j
108
+ have ha := (Finset.mem_filter.mp hv).2
109
+ have heq (x) : (X *ᵥ x) v=x j := by
110
+ unfold X Matrix.mulVec dotProduct
111
+ rw [Finset.sum_eq_single j]
112
+ · simp [hv,S]
113
+ · intro k _ hk; simp [S,aiming,ha,hk.symm]
114
+ simp
115
+ rw [← heq x,← heq y,he])
116
+ let B := Xᵀ*Y
117
+ have hg (j k : Bool) : B j k=if j=k then 0 else (∑ l∈S j,(d l+f l)) := by
118
+ have hi {l : I} (hh : l∈S j) : a l=i ∧ b l=j := (Finset.mem_filter.mp hh).2
119
+ have hy {l : I} (hL : l∈S j) :
120
+ Y l k= (if j=k then 0 else d l+f l) := by
121
+ unfold Y V X; rw [Matrix.add_apply,Matrix.of_apply,Matrix.diagonal_mul,Matrix.of_apply]
122
+ by_cases h : j=k
123
+ · subst k
124
+ simp only [(hi hL).2,hL,ite_true,add_zero,mul_one,char_two]
125
+ have hv : l∉S k := fun hw => h ((hi hL).2.symm.trans (Finset.mem_filter.mp hw).2.2)
126
+ simp [h,Ne.symm h,(hi hL).2,hv]
127
+ have ht (l : I) : X l j*Y l k= if l∈S j then Y l k else 0 := by
128
+ by_cases hv : l∈S j <;> simp [X,hv]
129
+ unfold B; rw [Matrix.mul_apply]
130
+ simp_rw [Matrix.transpose_apply,ht,← Finset.sum_filter]
131
+ rw [show Finset.univ.filter (fun x => x∈S j)=S j from (by simp)]
132
+ by_cases g : j=k
133
+ · rw [ite_eq_left g]
134
+ exact Finset.sum_eq_zero fun l hl => (hy hl).trans (ite_eq_left g)
135
+ rw [ite_eq_right g]
136
+ exact Finset.sum_congr rfl fun l hl => (hy hl).trans (ite_eq_right g)
137
+ have ha (j : Bool) : B j j=0 := by rw [hg,ite_eq_left rfl]
138
+ have hB : Bᵀ=B := by
139
+ ext j k
140
+ rw [Matrix.transpose_apply,hg,hg]
141
+ cases j <;> cases k
142
+ all_goals simp
143
+ · exact h
144
+ exact h.symm
145
+ let W := Lᵀ*B*L
146
+ have hW : Wᵀ=W := by unfold W; simp only [transpose_mul,transpose_transpose,hB,Matrix.mul_assoc]
147
+ have hw (x : I) : W x x=0 := by
148
+ unfold W
149
+ have hf : B false true=B true false := congr_fun (congr_fun hB true) false
150
+ simp only [Matrix.mul_apply,Fintype.sum_bool,Matrix.transpose_apply,ha,mul_zero,zero_add,
151
+ add_zero,hf]
152
+ rw [mul_right_comm (L false x), show L true x * B true false * L false x=
153
+ L false x * L true x * B true false from (by ring),char_two]
154
+ let Z := Y*L+(Y*L)ᵀ + W
155
+ have he : (D+Z)*X=V := by
156
+ have he : (Y*L)ᵀ*X=W*X := by
157
+ unfold W
158
+ have hh : Yᵀ * X=B := by
159
+ have ht : Bᵀ=Yᵀ*X := by unfold B; rw [Matrix.transpose_mul,transpose_transpose]
160
+ rw [← ht,hB]
161
+ rw [Matrix.transpose_mul,Matrix.mul_assoc Lᵀ Yᵀ X,hh,Matrix.mul_assoc _ L X,hL,
162
+ Matrix.mul_one]
163
+ unfold Z
164
+ rw [Matrix.add_mul,Matrix.add_mul,Matrix.add_mul,Matrix.mul_assoc Y L X,hL,
165
+ Matrix.mul_one,he,add_assoc Y,char_two,add_zero]
166
+ unfold Y
167
+ rw [add_left_comm,char_two,add_zero]
168
+ refine ⟨D+Z,?_,?_,fun j x hx => ?_⟩
169
+ · unfold Z D
170
+ simp only [transpose_add,Matrix.diagonal_transpose,transpose_transpose,hW]
171
+ ac_rfl
172
+ · intro x
173
+ unfold D Z
174
+ simp only [Matrix.add_apply,Matrix.diagonal_apply_eq,Matrix.transpose_apply,hw,
175
+ char_two,add_zero]
176
+ let Q := D+Z
177
+ have hq : Qᵀ=Q := by
178
+ unfold Q Z D
179
+ simp only [transpose_add,Matrix.diagonal_transpose,transpose_transpose,hW]
180
+ ac_rfl
181
+ have h1 : (Q * X) x j= _ := congr_fun (congr_fun he x) j
182
+ rw [Matrix.mul_apply] at h1
183
+ have hy : ∑ l∈S j, Q l x =∑ l, Q x l * X l j := by
184
+ conv_rhs => unfold X
185
+ simp only [Matrix.of_apply,mul_ite,mul_one,mul_zero, ←Finset.sum_filter]
186
+ rw [show Finset.univ.filter (fun x => x∈ S j)=S j from (by simp)]
187
+ exact Finset.sum_congr rfl fun l _ => congr_fun (congr_fun hq x) l
188
+ exact hy.trans h1
189
+
190
+ omit [Fintype I] in
191
+ private theorem scripted (p : Shape) (t : Tagging p I) (g : I→I→F)
192
+ (h : 2≤p.g) (hJ : 1 ≤ p.J) :
193
+ ∃ s : Script p I,∀ x y,prescribedB p t s x y=g x y := by
194
+ classical
195
+ have hh (x : I) : ∃ i : Comp p.g,inc i (t x) := by
196
+ have he := card_star (t x)
197
+ have hi : Nonempty (TagStar (t x)) := Fintype.card_pos_iff.mp (by omega)
198
+ obtain ⟨⟨i,h⟩⟩ := hi
199
+ exact ⟨i,h⟩
200
+ choose q hq using hh
201
+ let i0 : Fin p.J := ⟨0,hJ⟩
202
+ let s : Script p I := fun x y i =>
203
+ if i.1=(i0,q x,q y) then if i.2 then g x y else 1 else 0
204
+ refine ⟨s,fun x y => ?_⟩
205
+ unfold prescribedB
206
+ rw [Finset.sum_eq_single i0]
207
+ · rw [Finset.sum_eq_single (q x)]
208
+ · rw [Finset.sum_eq_single (q y)]
209
+ · simp [s,hq]
210
+ · intro i _ hi; simp [s,hi]
211
+ simp
212
+ · intro i _ hi; simp [s,hi]
213
+ simp
214
+ · intro i _ hi; simp [s,hi]
215
+ simp
216
+
217
+ set_option maxHeartbeats 600000 in
218
+ theorem choose_script (p : Shape) (t : Tagging p I) (a b : I→Bool)
219
+ (d : Vec I)
220
+ (f : Vec I)
221
+ (d' : Vec I)
222
+ (h : ∀ i : Bool,(∑ x∈aiming a b i true,(d' x+f x)) =
223
+ ∑ x∈aiming a b i false,(d' x+f x))
224
+ (ha : ∀ i j : Bool, ∑ x∈aiming a b i j,(d x+d' x)=1)
225
+ (hc : ∀ i j : Bool,(aiming a b i j).Nonempty)
226
+ (u : Mat I I) (hu : uᵀ=u)
227
+ (hg : 2≤p.g) (hi : 1≤p.J) :
228
+ ∃ s : Script p I, fulfills p t d f u s a b := by
229
+ classical
230
+ have hh (i j : Bool) :
231
+ (∑ x∈aiming a b i j,(d x+f x))=1+ ∑ x∈aiming a b i j,(d' x+f x) := by
232
+ rw [←ha,← Finset.sum_add_distrib]
233
+ refine Finset.sum_congr rfl fun x _ => ?_
234
+ rw [add_assoc,←add_assoc (d' x),char_two,zero_add]
235
+ choose M hM hD hA using fun i : Bool => binary_plan a b i d f (by rw [hh,hh,h]) (hc i)
236
+ let F' := Fintype.equivFin I
237
+ let g (x y : I) := if F' x < F' y then M (a x) x y+u x y else 0
238
+ obtain ⟨s,hs⟩ := scripted p t g hg hi
239
+ have hf (x y : I) (h : a x=a y) : prescribedT p t d u s x y=M (a x) x y := by
240
+ unfold prescribedT
241
+ split
242
+ · rename_i he
243
+ subst y
244
+ exact (hD _ _).symm
245
+ rename_i he
246
+ rw [hs x y, hs y x]
247
+ rcases lt_or_gt_of_ne (show F' x ≠ F' y from fun h => he (F'.injective h)) with e|e
248
+ · simp only [g, ite_eq_left e,ite_eq_right (not_lt.mpr e.le),add_zero]
249
+ rw [add_left_comm,char_two,add_zero]
250
+ simp only [g,ite_eq_left e,ite_eq_right (not_lt.mpr e.le),zero_add]
251
+ rw [←h,show u y x=u x y from congr_fun (congr_fun hu x) y,
252
+ show M (a x) y x=M (a x) x y from congr_fun (congr_fun (hM (a x)) x) y]
253
+ rw [add_left_comm,char_two,add_zero]
254
+ refine ⟨s,fun x j => ?_⟩
255
+ let S := aiming a b (a x) j
256
+ have he : ∑ i∈S,prescribedT p t d u s i x=∑ i∈S,M (a x) i x :=
257
+ Finset.sum_congr rfl fun i hi => by
258
+ have hm : a i=a x := (Finset.mem_filter.mp hi).2.1
259
+ rw [hf i x hm,hm]
260
+ rw [he,hA (a x) j x (by simp), ← add_assoc, char_two,zero_add]
261
+ end HadwigerCounterexample
262
+
263
+ end
264
+
265
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BinaryStatusComparison.lean CHANGED
@@ -1,143 +1,143 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteOptionLabels
2
-
3
- namespace OAI
4
-
5
- /-! # Binary Status Comparison -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Filter Function Submodule Module LinearMap
10
- open scoped BigOperators
11
- variable {A B J H : Type} [Fintype A] [Fintype B] [Fintype J]
12
-
13
- theorem disagreement_bound (w : Wgt A) (hw : ∀ x,0 ≤ w x) (f g h:A→ H) :
14
- pr w (fun i=> f i≠ h i) ≤ pr w (fun i=>f i≠ g i) + pr w (fun i=>g i≠h i) :=
15
- let p (i:A) := f i≠g i∨g i≠h i
16
- ((pr_mono hw fun i h=>show p i from Classical.byContradiction (fun hi => h (Eq.trans
17
- (not_not.mp (mt Or.inl hi)) (not_not.mp (mt Or.inr hi))))).trans (pr_or_le hw))
18
-
19
- def majority (w : Wgt A) (f : A→F) :=
20
- if 1/2≤ pr w (fun i=>f i=0) then (0:F) else 1
21
-
22
- theorem majority_bound (w : Wgt A) (hw:IsLaw w) (f : A→F) :
23
- 1/2 ≤ pr w (fun i=> f i= majority w f) := by
24
- classical
25
- unfold majority
26
- split
27
- next h => exact h
28
- next h =>
29
- have hi i : f i=1 ↔ ¬f i=0 :=
30
- ⟨fun hh=>by rw [hh]; exact one_ne_zero,fun hh=>(bit_cases _).resolve_left hh⟩
31
- simp_rw [hi,pr_not,hw.total]
32
- exact le_of_lt (by linarith only [h])
33
-
34
- theorem majority_charge (p:Wgt A) (q:Wgt B) (hp:IsLaw p) (hq:IsLaw q)
35
- (f:A→F) (g:B→F) :
36
- pr p (fun i=> f i≠majority q g)≤2 * pr (pairW p q) (fun i=> f i.1≠g i.2) := by
37
- classical
38
- let Q i:= g i=majority q g; let P i:= f i≠majority q g
39
- let v:= pairW p q
40
- have hm (z:A×B) (h:P z.1∧Q z.2): f z.1≠g z.2 := h.2 ▸ h.1
41
- have hh : pr p P*pr q Q ≤ pr v (fun i=>f i.1≠g i.2) :=
42
- (pairW_pr ..).symm.le.trans (pr_mono (pairW_law hp hq).nz hm)
43
- have hx:=majority_bound q hq g
44
- have hh' := mul_le_mul_of_nonneg_left hx (pr_nonneg (p:=P) hp.nz)
45
- change _* (1/2) ≤ _*pr q Q at hh'
46
- change pr p P≤2*pr v _
47
- linarith only [hh,hh']
48
-
49
- theorem reflect_cost (p:Wgt A) (q:Wgt B) (hp:IsLaw p) (hq:IsLaw q)
50
- (f:A→H) (g:B→H) (k:H) :
51
- pr q (fun i=>g i≠k)≤ pr (pairW p q) (fun i=>f i.1≠g i.2)+pr p (fun i=>f i≠k) := by
52
- let w:=pairW p q
53
- let t i:= g i≠k; let s i:= f i≠k
54
- have hi : pr q t=pr w (fun i=> t i.2) := by simpa [hp.total] using
55
- (pairW_pr p q (fun _=>True) t).symm
56
- have hj : pr p s=pr w (fun i=>s i.1) := by simpa [hq.total] using
57
- (pairW_pr p q s (fun _=>True)).symm
58
- let P (i:A×B):= f i.1 ≠ g i.2
59
- rw [hi,hj]
60
- have hh (i:A×B) (h:t i.2): P i∨ s i.1 := by
61
- by_cases he:P i
62
- · exact Or.inl he
63
- exact Or.inr (fun hc=> h ((not_not.mp he).symm.trans hc))
64
- exact (pr_mono (pairW_law hp hq).nz hh).trans (pr_or_le (pairW_law hp hq).nz)
65
-
66
- namespace StatusAnalysis
67
- namespace DualAnalysis
68
- variable {p:Shape} {d e: Rates} {r K:ℕ}
69
- abbrev Pulsar (p:Shape) (r:ℕ):= Tag p.g → F → Fin r→F
70
- variable (u:Terrain p r) (s:Gazette p r d) (t:Gazette p r e)
71
-
72
- def shot (i:Nodes) (x:Appearance p) (a:RhymeSet (d i)) (f:Pulsar p r) :=
73
- avg (u x.l x.q) (fun j=>pr (s i x j) (fun v=> a.soot x v ≠f x.l x.q j))
74
- def praise (u:Terrain p r) (s:Gazette p r d) (i:Nodes)
75
- (A:Finset (Label p.b)) (a:RhymeSet (d i)) (f:Pulsar p r) (ε:ℝ) :=
76
- ∀ x:Appearance p,x.s∉A →x.apt → shot u s i x a f≤ε
77
- def counsel (i:Grid) (A B:Finset (Label p.b))
78
- (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε :ℝ) :=
79
- ∀ x:Zodiac p,x.common → x.s true∉A →x.s false∉ B →charge u x s t i a b≤ε
80
-
81
- def amazes (p:Shape) (z:Label p.b) (l: Tag p.g) (q:F):Appearance p:=⟨l,z,Flavor.full,q⟩
82
- def amends (p:Shape) (x y:Appearance p): Zodiac p :=
83
- {l:=x.l
84
- q:=x.q
85
- s i:=if i then x.s else y.s
86
- f i:=if i then x.f else y.f}
87
- theorem amendsB (x y: Appearance p)(h:x.l=y.l)(ht:x.q=y.q):
88
- (amends p x y).aspect false=y := by cases x; cases y; simp_all [amends,Zodiac.aspect]
89
-
90
- theorem splitCounsel (i:Grid) (A B:Finset (Label p.b))
91
- (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε :ℝ)
92
- (h:counsel u s t i A B a b ε) (x y:Appearance p)
93
- (hx:x.s∉A) (hy:y.s∉B) (he:x.apt) (hf:y.apt) (hg:x.l=y.l) (hk:x.q=y.q) :
94
- avg (u x.l x.q) (fun j=>pr (pairW (s i.1 x j) (t i.2 y j)) (fun k=>a.soot x k.1 ≠
95
- b.soot y k.2))≤ε := by
96
- classical
97
- let Z:=amends p x y
98
- have hQ : Z.aspect false=y := amendsB _ _ hg hk
99
- have hP : Z.aspect true=x := rfl
100
- have hm : Z.common := by intro i;cases i; rw [hQ];exact hf; rw [hP];exact he
101
- have hi:= h Z hm hx hy
102
- unfold charge circlet pr couplePage at hi
103
- rw [mixW_avg,hQ,hP] at hi
104
- exact hi
105
-
106
- set_option maxHeartbeats 800000 in
107
- theorem paeans {β δ:ℝ} (hu:origami p r u δ)(hs:reports p r u s β δ)(ht:reports p r u t β δ)
108
- (i:Grid) (A B:Finset (Label p.b)) (hx:A.card<Fintype.card (Label p.b))
109
- (hy:B.card<Fintype.card (Label p.b)) (hg:3≤p.g)
110
- (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε:ℝ) (he:0≤ε)
111
- (h:counsel u s t i A B a b ε) :
112
- ∃ f:Pulsar p r, praise u s i.1 A a f (3*ε) ∧ praise u t i.2 B b f (3*ε) := by
113
- classical
114
- obtain ⟨x,hx⟩:=any_label A hx
115
- obtain ⟨y,hy⟩:=any_label B hy
116
- let Z:= amazes p y
117
- let f l q j:= majority (t i.2 (Z l q) j) (b.soot (Z l q))
118
- have hl:praise u s i.1 A a f (2*ε) := by
119
- intro z hz hhq
120
- let w:= Z z.l z.q
121
- have ht' := generic_apt p hg w rfl
122
- have hh := splitCounsel u s t i A B a b ε h z w hz hy hhq ht' rfl rfl
123
- refine le_trans (avg_mono (hu.1 z.l z.q).nz (fun j=> majority_charge (s i.1 z j) (t i.2 w j)
124
- (hs.law _ _ hhq _) (ht.law _ _ ht' _) (a.soot z) (b.soot w))) ?_
125
- rw [avg_mul']
126
- exact mul_le_mul_of_nonneg_left hh (by norm_num)
127
- refine ⟨f,fun w hw hx=>(hl _ hw hx).trans (by linarith only [he]), fun w hw hv=>?_⟩
128
- let z:=amazes p x w.l w.q
129
- have hf : z.apt:=generic_apt _ hg _ rfl
130
- have hx0:= splitCounsel u s t i A B a b ε h z w hx hw hf hv rfl rfl
131
- have hl0:=hl z hx hf
132
- let W:=u w.l w.q
133
- have heq j:= reflect_cost (s i.1 z j) (t i.2 w j) (hs.law _ _ hf j) (ht.law _ _ hv j)
134
- (a.soot z) (b.soot w) (f w.l w.q j)
135
- apply (avg_mono (hu.1 w.l w.q).nz heq).trans
136
- rw [avg_add]; exact (add_le_add hx0 hl0).trans_eq (by ring)
137
- end DualAnalysis
138
- end StatusAnalysis
139
- end HadwigerCounterexample
140
-
141
- end
142
-
143
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteOptionLabels
2
+
3
+ namespace OAI
4
+
5
+ /-! # Binary Status Comparison -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Filter Function Submodule Module LinearMap
10
+ open scoped BigOperators
11
+ variable {A B J H : Type} [Fintype A] [Fintype B] [Fintype J]
12
+
13
+ theorem disagreement_bound (w : Wgt A) (hw : ∀ x,0 ≤ w x) (f g h:A→ H) :
14
+ pr w (fun i=> f i≠ h i) ≤ pr w (fun i=>f i≠ g i) + pr w (fun i=>g i≠h i) :=
15
+ let p (i:A) := f i≠g i∨g i≠h i
16
+ ((pr_mono hw fun i h=>show p i from Classical.byContradiction (fun hi => h (Eq.trans
17
+ (not_not.mp (mt Or.inl hi)) (not_not.mp (mt Or.inr hi))))).trans (pr_or_le hw))
18
+
19
+ def majority (w : Wgt A) (f : A→F) :=
20
+ if 1/2≤ pr w (fun i=>f i=0) then (0:F) else 1
21
+
22
+ theorem majority_bound (w : Wgt A) (hw:IsLaw w) (f : A→F) :
23
+ 1/2 ≤ pr w (fun i=> f i= majority w f) := by
24
+ classical
25
+ unfold majority
26
+ split
27
+ next h => exact h
28
+ next h =>
29
+ have hi i : f i=1 ↔ ¬f i=0 :=
30
+ ⟨fun hh=>by rw [hh]; exact one_ne_zero,fun hh=>(bit_cases _).resolve_left hh⟩
31
+ simp_rw [hi,pr_not,hw.total]
32
+ exact le_of_lt (by linarith only [h])
33
+
34
+ theorem majority_charge (p:Wgt A) (q:Wgt B) (hp:IsLaw p) (hq:IsLaw q)
35
+ (f:A→F) (g:B→F) :
36
+ pr p (fun i=> f i≠majority q g)≤2 * pr (pairW p q) (fun i=> f i.1≠g i.2) := by
37
+ classical
38
+ let Q i:= g i=majority q g; let P i:= f i≠majority q g
39
+ let v:= pairW p q
40
+ have hm (z:A×B) (h:P z.1∧Q z.2): f z.1≠g z.2 := h.2 ▸ h.1
41
+ have hh : pr p P*pr q Q ≤ pr v (fun i=>f i.1≠g i.2) :=
42
+ (pairW_pr ..).symm.le.trans (pr_mono (pairW_law hp hq).nz hm)
43
+ have hx:=majority_bound q hq g
44
+ have hh' := mul_le_mul_of_nonneg_left hx (pr_nonneg (p:=P) hp.nz)
45
+ change _* (1/2) ≤ _*pr q Q at hh'
46
+ change pr p P≤2*pr v _
47
+ linarith only [hh,hh']
48
+
49
+ theorem reflect_cost (p:Wgt A) (q:Wgt B) (hp:IsLaw p) (hq:IsLaw q)
50
+ (f:A→H) (g:B→H) (k:H) :
51
+ pr q (fun i=>g i≠k)≤ pr (pairW p q) (fun i=>f i.1≠g i.2)+pr p (fun i=>f i≠k) := by
52
+ let w:=pairW p q
53
+ let t i:= g i≠k; let s i:= f i≠k
54
+ have hi : pr q t=pr w (fun i=> t i.2) := by simpa [hp.total] using
55
+ (pairW_pr p q (fun _=>True) t).symm
56
+ have hj : pr p s=pr w (fun i=>s i.1) := by simpa [hq.total] using
57
+ (pairW_pr p q s (fun _=>True)).symm
58
+ let P (i:A×B):= f i.1 ≠ g i.2
59
+ rw [hi,hj]
60
+ have hh (i:A×B) (h:t i.2): P i∨ s i.1 := by
61
+ by_cases he:P i
62
+ · exact Or.inl he
63
+ exact Or.inr (fun hc=> h ((not_not.mp he).symm.trans hc))
64
+ exact (pr_mono (pairW_law hp hq).nz hh).trans (pr_or_le (pairW_law hp hq).nz)
65
+
66
+ namespace StatusAnalysis
67
+ namespace DualAnalysis
68
+ variable {p:Shape} {d e: Rates} {r K:ℕ}
69
+ abbrev Pulsar (p:Shape) (r:ℕ):= Tag p.g → F → Fin r→F
70
+ variable (u:Terrain p r) (s:Gazette p r d) (t:Gazette p r e)
71
+
72
+ def shot (i:Nodes) (x:Appearance p) (a:RhymeSet (d i)) (f:Pulsar p r) :=
73
+ avg (u x.l x.q) (fun j=>pr (s i x j) (fun v=> a.soot x v ≠f x.l x.q j))
74
+ def praise (u:Terrain p r) (s:Gazette p r d) (i:Nodes)
75
+ (A:Finset (Label p.b)) (a:RhymeSet (d i)) (f:Pulsar p r) (ε:ℝ) :=
76
+ ∀ x:Appearance p,x.s∉A →x.apt → shot u s i x a f≤ε
77
+ def counsel (i:Grid) (A B:Finset (Label p.b))
78
+ (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε :ℝ) :=
79
+ ∀ x:Zodiac p,x.common → x.s true∉A →x.s false∉ B →charge u x s t i a b≤ε
80
+
81
+ def amazes (p:Shape) (z:Label p.b) (l: Tag p.g) (q:F):Appearance p:=⟨l,z,Flavor.full,q⟩
82
+ def amends (p:Shape) (x y:Appearance p): Zodiac p :=
83
+ {l:=x.l
84
+ q:=x.q
85
+ s i:=if i then x.s else y.s
86
+ f i:=if i then x.f else y.f}
87
+ theorem amendsB (x y: Appearance p)(h:x.l=y.l)(ht:x.q=y.q):
88
+ (amends p x y).aspect false=y := by cases x; cases y; simp_all [amends,Zodiac.aspect]
89
+
90
+ theorem splitCounsel (i:Grid) (A B:Finset (Label p.b))
91
+ (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε :ℝ)
92
+ (h:counsel u s t i A B a b ε) (x y:Appearance p)
93
+ (hx:x.s∉A) (hy:y.s∉B) (he:x.apt) (hf:y.apt) (hg:x.l=y.l) (hk:x.q=y.q) :
94
+ avg (u x.l x.q) (fun j=>pr (pairW (s i.1 x j) (t i.2 y j)) (fun k=>a.soot x k.1 ≠
95
+ b.soot y k.2))≤ε := by
96
+ classical
97
+ let Z:=amends p x y
98
+ have hQ : Z.aspect false=y := amendsB _ _ hg hk
99
+ have hP : Z.aspect true=x := rfl
100
+ have hm : Z.common := by intro i;cases i; rw [hQ];exact hf; rw [hP];exact he
101
+ have hi:= h Z hm hx hy
102
+ unfold charge circlet pr couplePage at hi
103
+ rw [mixW_avg,hQ,hP] at hi
104
+ exact hi
105
+
106
+ set_option maxHeartbeats 800000 in
107
+ theorem paeans {β δ:ℝ} (hu:origami p r u δ)(hs:reports p r u s β δ)(ht:reports p r u t β δ)
108
+ (i:Grid) (A B:Finset (Label p.b)) (hx:A.card<Fintype.card (Label p.b))
109
+ (hy:B.card<Fintype.card (Label p.b)) (hg:3≤p.g)
110
+ (a : RhymeSet (d i.1)) (b : RhymeSet (e i.2)) (ε:ℝ) (he:0≤ε)
111
+ (h:counsel u s t i A B a b ε) :
112
+ ∃ f:Pulsar p r, praise u s i.1 A a f (3*ε) ∧ praise u t i.2 B b f (3*ε) := by
113
+ classical
114
+ obtain ⟨x,hx⟩:=any_label A hx
115
+ obtain ⟨y,hy⟩:=any_label B hy
116
+ let Z:= amazes p y
117
+ let f l q j:= majority (t i.2 (Z l q) j) (b.soot (Z l q))
118
+ have hl:praise u s i.1 A a f (2*ε) := by
119
+ intro z hz hhq
120
+ let w:= Z z.l z.q
121
+ have ht' := generic_apt p hg w rfl
122
+ have hh := splitCounsel u s t i A B a b ε h z w hz hy hhq ht' rfl rfl
123
+ refine le_trans (avg_mono (hu.1 z.l z.q).nz (fun j=> majority_charge (s i.1 z j) (t i.2 w j)
124
+ (hs.law _ _ hhq _) (ht.law _ _ ht' _) (a.soot z) (b.soot w))) ?_
125
+ rw [avg_mul']
126
+ exact mul_le_mul_of_nonneg_left hh (by norm_num)
127
+ refine ⟨f,fun w hw hx=>(hl _ hw hx).trans (by linarith only [he]), fun w hw hv=>?_⟩
128
+ let z:=amazes p x w.l w.q
129
+ have hf : z.apt:=generic_apt _ hg _ rfl
130
+ have hx0:= splitCounsel u s t i A B a b ε h z w hx hw hf hv rfl rfl
131
+ have hl0:=hl z hx hf
132
+ let W:=u w.l w.q
133
+ have heq j:= reflect_cost (s i.1 z j) (t i.2 w j) (hs.law _ _ hf j) (ht.law _ _ hv j)
134
+ (a.soot z) (b.soot w) (f w.l w.q j)
135
+ apply (avg_mono (hu.1 w.l w.q).nz heq).trans
136
+ rw [avg_add]; exact (add_le_add hx0 hl0).trans_eq (by ring)
137
+ end DualAnalysis
138
+ end StatusAnalysis
139
+ end HadwigerCounterexample
140
+
141
+ end
142
+
143
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BooleanLabels.lean CHANGED
@@ -1,151 +1,151 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.MomentCoordinates
2
- import OAI.Combinatorics.HadwigerCounterexample.MatrixFactorization
3
-
4
- namespace OAI
5
-
6
- /-! # Boolean Labels -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open scoped BigOperators
11
- open Matrix Finset
12
- variable {b : ℕ}
13
-
14
- def monoBit (s : Label b) (S : Finset (Fin b)) := ∏ i ∈ S, s i
15
-
16
- theorem mono_insert (s : Label b) (S : Finset (Fin b)) (i) :
17
- monoBit s (insert i S) = s i * monoBit s S := by
18
- by_cases h : i∈S
19
- · rw [insert_eq_of_mem h]
20
- unfold monoBit
21
- rw [← Finset.mul_prod_erase _ _ h,← mul_assoc,bit_sq]
22
- · simp [monoBit,h]
23
-
24
- theorem mono_union (s : Label b) (S T : Finset (Fin b)) :
25
- monoBit s (S∪T)= monoBit s S*monoBit s T := by
26
- induction S using Finset.induction with
27
- | empty => simp [monoBit]
28
- | insert i S h ih =>
29
- rw [insert_union,mono_insert,mono_insert,ih,mul_assoc]
30
-
31
- /-- Independence up to degree j for at most j+1 labels, in coefficient form. -/
32
- theorem selector_indep (L : Finset (Label b)) (c : Label b → F) (j : ℕ)
33
- (h : L.card ≤ j+1) (hf : ∀ S : Finset (Fin b), S.card ≤ j →
34
- ∑ s ∈ L,c s*monoBit s S=0) : ∀ i∈L,c i=0 := by
35
- classical
36
- intro s hs
37
- induction L using Finset.strongInductionOn generalizing c j with | _ L ih
38
- by_cases hL : ∃ i∈L,i≠s
39
- · obtain ⟨t,ht,hst⟩ := hL
40
- obtain ⟨i,hi⟩ : ∃ i : Fin b,t i≠s i := Function.ne_iff.mp hst
41
- let d (u : Label b) := (u i-t i) * c u
42
- have hg : j>0 := by have he := Finset.one_lt_card.mpr ⟨t,ht,s,hs,hst⟩; omega
43
- have he : (L.erase t).card ≤ (j-1)+1 := by
44
- have he := card_erase_add_one ht; omega
45
- have hw (U : Finset (Fin b)) (hu : U.card ≤ j-1) :
46
- ∑ s ∈ L.erase t,d s*monoBit s U=0 := by
47
- have heq (s : Label b) :
48
- d s * monoBit s U = c s * monoBit s (insert i U) - t i*(c s*monoBit s U) := by
49
- unfold d; rw [mono_insert]; ring
50
- rw [show ∑ s ∈ L.erase t,d s*monoBit s U = ∑ s ∈ L,d s*monoBit s U by
51
- conv_rhs => rw [← Finset.add_sum_erase _ _ ht]
52
- simp [d]]
53
- simp_rw [heq, Finset.sum_sub_distrib,← Finset.mul_sum]
54
- have hj : (insert i U).card ≤ j := by
55
- by_cases hh : i∈U
56
- · rw [insert_eq_of_mem hh]; omega
57
- · rw [card_insert_of_notMem hh]; omega
58
- rw [hf _ hj, hf _ (by omega),mul_zero,sub_zero]
59
- have hu := ih (L.erase t) (erase_ssubset ht) d (j-1) he hw
60
- (Finset.mem_erase.mpr ⟨hst.symm,hs⟩)
61
- exact (mul_eq_zero.mp hu).resolve_left (sub_ne_zero.mpr hi.symm)
62
- · have he : L={s} := by
63
- ext x; constructor
64
- · intro hx; exact mem_singleton.mpr (Classical.byContradiction fun h => hL ⟨x,hx,h⟩)
65
- intro hx; rwa [mem_singleton.mp hx]
66
- have hh := hf ∅ (by simp)
67
- simpa [he,monoBit] using hh
68
-
69
- variable {p : Shape} {n : ℕ}
70
-
71
- def hankel (M : Moment p n) :=
72
- ∀ (i k : AIdx p.g n) (a b c d : SelIdx p.b p.j),
73
- a.val ∪ b.val = c.val ∪ d.val → M (a,i) (b,k) = M (c,i) (d,k)
74
-
75
- def diagBase (M : Moment p n) :=
76
- ∀ (i : AIdx p.g n) (a b : SelIdx p.b p.j), M (a,i) (b,i) = M (a,none) (b,i)
77
-
78
- theorem point_eval (p : Shape) (s : Label p.b) (z : Base p.g n)
79
- (r : SelIdx p.b p.j) (i : AIdx p.g n) : point p s z (r,i) = monoBit s r.val * baseV z i :=
80
- rfl
81
-
82
- theorem Wspace_hank {M : Moment p n} (h : M∈Wspace p n) : hankel M := by
83
- intro i k a b c d hab
84
- unfold Wspace at h
85
- induction h using Submodule.span_induction with
86
- | mem M hm =>
87
- obtain ⟨s,z,rfl⟩ := hm
88
- have h (a b : SelIdx p.b p.j) :
89
- mom p s z (a,i) (b,k) = monoBit s (a.val ∪ b.val) * (baseV z i*baseV z k) := by
90
- simp only [mom,vecMulVec_apply,point_eval,mono_union]; ring
91
- rw [h,h,hab]
92
- | zero => rfl
93
- | add x y _ _ hx hy => simp only [Matrix.add_apply,hx,hy]
94
- | smul v x _ hx => simp only [Matrix.smul_apply,hx]
95
-
96
- theorem Wspace_diag {M : Moment p n} (h : M∈Wspace p n) : diagBase M := by
97
- intro i a b
98
- unfold Wspace at h
99
- induction h using Submodule.span_induction with
100
- | mem M hm =>
101
- obtain ⟨s,z,rfl⟩ := hm
102
- simp only [mom,vecMulVec_apply,point_eval,baseV]
103
- rw [mul_mul_mul_comm,bit_sq]
104
- have hn : Option.elim' (1:F) z none = 1 := rfl
105
- rw [hn]
106
- ring
107
- | zero => rfl
108
- | add x y _ _ hx hy => simp only [Matrix.add_apply,hx,hy]
109
- | smul v x _ hx => simp only [Matrix.smul_apply,hx]
110
-
111
- abbrev BaseMat (p : Shape) (n : ℕ) := Mat (AIdx p.g n) (AIdx p.g n)
112
-
113
- def labMat (p : Shape) (n) (s : Label p.b) :
114
- Mat (Row p n) (AIdx p.g n) :=
115
- Matrix.of (fun v i => if v.2=i then monoBit s v.1.val else 0)
116
-
117
- theorem labMat_act (s) (z : Vec (AIdx p.g n)) :
118
- labMat p n s *ᵥ z = putLab p n s z := by
119
- funext i
120
- simp [Matrix.mulVec,dotProduct,labMat,putLab,monoBit,selV]
121
-
122
- def mput (p : Shape) (s : Label p.b) {n} :
123
- BaseMat p n →ₗ[F] Moment p n := liftM (labMat p n s) (labMat p n s)
124
-
125
- theorem mput_apply (s) (Z : BaseMat p n) (i j) : mput p s Z i j =
126
- monoBit s i.1.val*monoBit s j.1.val*Z i.2 j.2 := by
127
- classical
128
- simp [mput,liftM_def,Matrix.mul_apply,transpose_apply,labMat, mul_comm,mul_left_comm,mul_assoc]
129
-
130
- theorem mput_hank (s) (Z : BaseMat p n) : hankel (mput p s Z) := by
131
- intro i j a b c d h
132
- rw [mput_apply,mput_apply]
133
- simp_rw [← mono_union,h]
134
-
135
- /-- Short label-tagged rays give a direct family of copies of the affine-vector space. -/
136
- theorem ray_indep (L : Finset (Label p.b)) (Z : Label p.b → Vec (AIdx p.g n))
137
- (hj : L.card ≤ p.j+1) (he : ∑ i∈L, putLab p n i (Z i) = 0) :
138
- ∀ i∈L, Z i=0 := by
139
- have hg (u : AIdx p.g n) (i : Label p.b) (hi : i ∈ L) :
140
- Z i u=0 := by
141
- refine selector_indep L (fun i => Z i u) p.j hj ?_ i hi
142
- intro S hS
143
- have hh := congr_fun he ((⟨S,hS⟩ : SelIdx p.b p.j),u)
144
- simpa [putLab,Finset.sum_apply,monoBit,selV,mul_comm] using hh
145
- exact fun i hi => funext (fun u => hg u i hi)
146
-
147
- end HadwigerCounterexample
148
-
149
- end
150
-
151
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.MomentCoordinates
2
+ import OAI.Combinatorics.HadwigerCounterexample.MatrixFactorization
3
+
4
+ namespace OAI
5
+
6
+ /-! # Boolean Labels -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open scoped BigOperators
11
+ open Matrix Finset
12
+ variable {b : ℕ}
13
+
14
+ def monoBit (s : Label b) (S : Finset (Fin b)) := ∏ i ∈ S, s i
15
+
16
+ theorem mono_insert (s : Label b) (S : Finset (Fin b)) (i) :
17
+ monoBit s (insert i S) = s i * monoBit s S := by
18
+ by_cases h : i∈S
19
+ · rw [insert_eq_of_mem h]
20
+ unfold monoBit
21
+ rw [← Finset.mul_prod_erase _ _ h,← mul_assoc,bit_sq]
22
+ · simp [monoBit,h]
23
+
24
+ theorem mono_union (s : Label b) (S T : Finset (Fin b)) :
25
+ monoBit s (S∪T)= monoBit s S*monoBit s T := by
26
+ induction S using Finset.induction with
27
+ | empty => simp [monoBit]
28
+ | insert i S h ih =>
29
+ rw [insert_union,mono_insert,mono_insert,ih,mul_assoc]
30
+
31
+ /-- Independence up to degree j for at most j+1 labels, in coefficient form. -/
32
+ theorem selector_indep (L : Finset (Label b)) (c : Label b → F) (j : ℕ)
33
+ (h : L.card ≤ j+1) (hf : ∀ S : Finset (Fin b), S.card ≤ j →
34
+ ∑ s ∈ L,c s*monoBit s S=0) : ∀ i∈L,c i=0 := by
35
+ classical
36
+ intro s hs
37
+ induction L using Finset.strongInductionOn generalizing c j with | _ L ih
38
+ by_cases hL : ∃ i∈L,i≠s
39
+ · obtain ⟨t,ht,hst⟩ := hL
40
+ obtain ⟨i,hi⟩ : ∃ i : Fin b,t i≠s i := Function.ne_iff.mp hst
41
+ let d (u : Label b) := (u i-t i) * c u
42
+ have hg : j>0 := by have he := Finset.one_lt_card.mpr ⟨t,ht,s,hs,hst⟩; omega
43
+ have he : (L.erase t).card ≤ (j-1)+1 := by
44
+ have he := card_erase_add_one ht; omega
45
+ have hw (U : Finset (Fin b)) (hu : U.card ≤ j-1) :
46
+ ∑ s ∈ L.erase t,d s*monoBit s U=0 := by
47
+ have heq (s : Label b) :
48
+ d s * monoBit s U = c s * monoBit s (insert i U) - t i*(c s*monoBit s U) := by
49
+ unfold d; rw [mono_insert]; ring
50
+ rw [show ∑ s ∈ L.erase t,d s*monoBit s U = ∑ s ∈ L,d s*monoBit s U by
51
+ conv_rhs => rw [← Finset.add_sum_erase _ _ ht]
52
+ simp [d]]
53
+ simp_rw [heq, Finset.sum_sub_distrib,← Finset.mul_sum]
54
+ have hj : (insert i U).card ≤ j := by
55
+ by_cases hh : i∈U
56
+ · rw [insert_eq_of_mem hh]; omega
57
+ · rw [card_insert_of_notMem hh]; omega
58
+ rw [hf _ hj, hf _ (by omega),mul_zero,sub_zero]
59
+ have hu := ih (L.erase t) (erase_ssubset ht) d (j-1) he hw
60
+ (Finset.mem_erase.mpr ⟨hst.symm,hs⟩)
61
+ exact (mul_eq_zero.mp hu).resolve_left (sub_ne_zero.mpr hi.symm)
62
+ · have he : L={s} := by
63
+ ext x; constructor
64
+ · intro hx; exact mem_singleton.mpr (Classical.byContradiction fun h => hL ⟨x,hx,h⟩)
65
+ intro hx; rwa [mem_singleton.mp hx]
66
+ have hh := hf ∅ (by simp)
67
+ simpa [he,monoBit] using hh
68
+
69
+ variable {p : Shape} {n : ℕ}
70
+
71
+ def hankel (M : Moment p n) :=
72
+ ∀ (i k : AIdx p.g n) (a b c d : SelIdx p.b p.j),
73
+ a.val ∪ b.val = c.val ∪ d.val → M (a,i) (b,k) = M (c,i) (d,k)
74
+
75
+ def diagBase (M : Moment p n) :=
76
+ ∀ (i : AIdx p.g n) (a b : SelIdx p.b p.j), M (a,i) (b,i) = M (a,none) (b,i)
77
+
78
+ theorem point_eval (p : Shape) (s : Label p.b) (z : Base p.g n)
79
+ (r : SelIdx p.b p.j) (i : AIdx p.g n) : point p s z (r,i) = monoBit s r.val * baseV z i :=
80
+ rfl
81
+
82
+ theorem Wspace_hank {M : Moment p n} (h : M∈Wspace p n) : hankel M := by
83
+ intro i k a b c d hab
84
+ unfold Wspace at h
85
+ induction h using Submodule.span_induction with
86
+ | mem M hm =>
87
+ obtain ⟨s,z,rfl⟩ := hm
88
+ have h (a b : SelIdx p.b p.j) :
89
+ mom p s z (a,i) (b,k) = monoBit s (a.val ∪ b.val) * (baseV z i*baseV z k) := by
90
+ simp only [mom,vecMulVec_apply,point_eval,mono_union]; ring
91
+ rw [h,h,hab]
92
+ | zero => rfl
93
+ | add x y _ _ hx hy => simp only [Matrix.add_apply,hx,hy]
94
+ | smul v x _ hx => simp only [Matrix.smul_apply,hx]
95
+
96
+ theorem Wspace_diag {M : Moment p n} (h : M∈Wspace p n) : diagBase M := by
97
+ intro i a b
98
+ unfold Wspace at h
99
+ induction h using Submodule.span_induction with
100
+ | mem M hm =>
101
+ obtain ⟨s,z,rfl⟩ := hm
102
+ simp only [mom,vecMulVec_apply,point_eval,baseV]
103
+ rw [mul_mul_mul_comm,bit_sq]
104
+ have hn : Option.elim' (1:F) z none = 1 := rfl
105
+ rw [hn]
106
+ ring
107
+ | zero => rfl
108
+ | add x y _ _ hx hy => simp only [Matrix.add_apply,hx,hy]
109
+ | smul v x _ hx => simp only [Matrix.smul_apply,hx]
110
+
111
+ abbrev BaseMat (p : Shape) (n : ℕ) := Mat (AIdx p.g n) (AIdx p.g n)
112
+
113
+ def labMat (p : Shape) (n) (s : Label p.b) :
114
+ Mat (Row p n) (AIdx p.g n) :=
115
+ Matrix.of (fun v i => if v.2=i then monoBit s v.1.val else 0)
116
+
117
+ theorem labMat_act (s) (z : Vec (AIdx p.g n)) :
118
+ labMat p n s *ᵥ z = putLab p n s z := by
119
+ funext i
120
+ simp [Matrix.mulVec,dotProduct,labMat,putLab,monoBit,selV]
121
+
122
+ def mput (p : Shape) (s : Label p.b) {n} :
123
+ BaseMat p n →ₗ[F] Moment p n := liftM (labMat p n s) (labMat p n s)
124
+
125
+ theorem mput_apply (s) (Z : BaseMat p n) (i j) : mput p s Z i j =
126
+ monoBit s i.1.val*monoBit s j.1.val*Z i.2 j.2 := by
127
+ classical
128
+ simp [mput,liftM_def,Matrix.mul_apply,transpose_apply,labMat, mul_comm,mul_left_comm,mul_assoc]
129
+
130
+ theorem mput_hank (s) (Z : BaseMat p n) : hankel (mput p s Z) := by
131
+ intro i j a b c d h
132
+ rw [mput_apply,mput_apply]
133
+ simp_rw [← mono_union,h]
134
+
135
+ /-- Short label-tagged rays give a direct family of copies of the affine-vector space. -/
136
+ theorem ray_indep (L : Finset (Label p.b)) (Z : Label p.b → Vec (AIdx p.g n))
137
+ (hj : L.card ≤ p.j+1) (he : ∑ i∈L, putLab p n i (Z i) = 0) :
138
+ ∀ i∈L, Z i=0 := by
139
+ have hg (u : AIdx p.g n) (i : Label p.b) (hi : i ∈ L) :
140
+ Z i u=0 := by
141
+ refine selector_indep L (fun i => Z i u) p.j hj ?_ i hi
142
+ intro S hS
143
+ have hh := congr_fun he ((⟨S,hS⟩ : SelIdx p.b p.j),u)
144
+ simpa [putLab,Finset.sum_apply,monoBit,selV,mul_comm] using hh
145
+ exact fun i hi => funext (fun u => hg u i hi)
146
+
147
+ end HadwigerCounterexample
148
+
149
+ end
150
+
151
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/BoundedQueryTemplates.lean CHANGED
@@ -1,134 +1,134 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.IndependentColumnBatches
2
- import OAI.Combinatorics.HadwigerCounterexample.CollisionInequality
3
-
4
- namespace OAI
5
-
6
- /-! # Bounded Query Templates -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open scoped BigOperators
11
- open Matrix Module LinearMap Function
12
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
13
-
14
- structure Template (p : Shape) (I : Type) where
15
- aim : I→Bool
16
- t : Tagging p I
17
- s : I→Label p.b
18
- f : I→Flavor p.g
19
-
20
- abbrev Inputs (p : Shape) (n : ℕ) (I : Type) := I → Knobs p.g n
21
-
22
- namespace Template
23
- variable (v : Template p I)
24
-
25
- def draw (y : Inputs p n I) : Volley p n I where
26
- obj := v.aim
27
- sel := v.s
28
- par i := lit (v.f i) (v.t i) (y i)
29
-
30
- def state (q : I→F) (n : ℕ) : Wgt (Inputs p n I) :=
31
- prodW (fun i : I => scopedBit p n (v.t i) (v.f i) (q i))
32
- omit [Fintype I] [DecidableEq I] in
33
- theorem draw_legal (y : Inputs p n I) : (v.draw y).legal v.t :=
34
- fun _ => lit_allows _ _ _
35
- end Template
36
-
37
- abbrev KeySlots (p : Shape) (t : Tagging p I) := Σ i, TagStar (t i)
38
-
39
- def scatter (t : Tagging p I) (N : ℕ) : Keys (p:=p) t N ≃ Rack (KeySlots p t) N where
40
- toFun x := (Matrix.of (fun j i => x i.1 i.2 true j),Matrix.of (fun j i => x i.1 i.2 false j))
41
- invFun x := fun i j b => if b then x.1.col ⟨i,j⟩ else x.2.col ⟨i,j⟩
42
- left_inv x := by funext i j b; cases b <;> rfl
43
- right_inv x := by apply Prod.ext <;> rfl
44
-
45
- def globPort (p : Shape) (t : Tagging p I) (q : I→Bool) :
46
- Route (KeySlots p t) (Ports p) :=
47
- fun x => (q x.1,x.2.val)
48
-
49
- def nomAsk (t : Tagging p I) (v : Volley p n I) :
50
- NomQuery p n (globPort p t v.obj) :=
51
- fun _ => Matrix.of (fun i j => v.rayAt j.val.1 i)
52
-
53
- omit [Fintype I] [DecidableEq I] in
54
- theorem peek_keys (t : Tagging p I) (v : Volley p n I) (x : UnitType p n N) :
55
- peekR p (globPort p t v.obj) (nomAsk t v) (nomAsk t v) (mergeR p x) =
56
- scatter t N (v.keys t x) := by
57
- apply Prod.ext
58
- · ext i j; rfl
59
- · ext i j; rfl
60
-
61
- theorem raw_keys (t : Tagging p I) (v : Volley p n I) (m : Mixer p n) {N : ℕ}
62
- (hN : 2*num (Full p n)<N) (ha : ∀ i, Injective (nomAsk t v i).mulVec) :
63
- let r := raw m N
64
- mapW (pairW r r) ((scatter t N) ∘ v.keys t) = rackStation (database m (nomAsk t v) (nomAsk t v)) N := by
65
- classical
66
- let g := globPort p t v.obj
67
- let A := nomAsk t v
68
- have hh := law_peekR m hN ha ha
69
- rw [← law_mergeR m N, mapW_nested] at hh
70
- refine Eq.trans ?_ hh
71
- congr 1
72
-
73
- def ownPort (t : Tagging p I) : Route (KeySlots p t) (Comp p.g) := fun x => x.2.val
74
- def ownMap (t : Tagging p I) (q : I→F) : GeoM (ownPort (p:=p) t) :=
75
- fun _ => Matrix.diagonal (fun i => q i.val.1)
76
- def ownPart (t : Tagging p I) (q : I→F) {N : ℕ}
77
- (x : Keys (p:=p) t N) :=
78
- gramPart (ownMap (p:=p) t q) (scatter t N x)
79
- def lawNu (p : Shape) (N : ℕ) (t : Tagging p I) (q : I→F) :
80
- Wgt (Keys (p:=p) t N) := unifOn (ownPart (p:=p) t q)
81
-
82
- theorem lawNu_rack (t : Tagging p I) (q : I→F) :
83
- mapW (lawNu p N t q) (scatter t N) = rackWave (ownMap t q) N :=
84
- on_equiv ..
85
-
86
- def ownOne (p : Shape) {N : ℕ} (l : Tag p.g) (q : F) (x : AtomKey (p:=p) l N) :=
87
- ∀ i,dotProduct (x i true) (x i false) = q
88
- def lawOmega (p : Shape) (N : ℕ) (l : Tag p.g) (q : F) :
89
- Wgt (AtomKey (p:=p) l N) := unifOn (ownOne p l q)
90
-
91
- omit [Fintype I] in
92
- theorem ownPart_def (t : Tagging p I) (q : I→F) {N : ℕ} (x : Keys (p:=p) t N) :
93
- ownPart (p:=p) t q x ↔
94
- (∀ i, ownOne p (t i) (q i) (x i)) ∧
95
- ∀ (i j : I) (e : Comp p.g) (hi : inc e (t i)) (hj : inc e (t j)), i≠j →
96
- dotProduct (x i ⟨e,hi⟩ true) (x j ⟨e,hj⟩ false)=0 := by
97
- classical
98
- let Q := ownPort (p:=p) t
99
- unfold ownPart
100
- rw [part_scores]
101
- have he i j (e : Comp p.g) (hi : inc e (t i)) (hj : inc e (t j)) :
102
- let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
103
- let b : Port Q e := ⟨⟨j,⟨e,hj⟩⟩,rfl⟩
104
- scoreR (scatter t N x) a b=dotProduct (x i ⟨e,hi⟩ true) (x j ⟨e,hj⟩ false) := rfl
105
- constructor
106
- · intro h
107
- constructor
108
- · rintro i ⟨e,hi⟩
109
- let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
110
- exact (he i i e hi hi).symm.trans ((h e a a).trans (Matrix.diagonal_apply_eq ..))
111
- intro i j e hi hj heq
112
- let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
113
- let b : Port Q e := ⟨⟨j,⟨e,hj⟩⟩,rfl⟩
114
- have hh : a≠b := fun h => heq (congrArg (fun x:Port Q e => x.val.1) h)
115
- exact (he i j e hi hj).symm.trans ((h e a b).trans (Matrix.diagonal_apply_ne _ hh))
116
- · rintro ⟨h,h'⟩ e ⟨⟨i,v⟩,ha⟩ ⟨⟨j,w⟩,hb⟩
117
- rcases v with ⟨v,hv⟩; rcases w with ⟨w,hw⟩
118
- change v = e at ha; change w=e at hb
119
- subst v; subst w
120
- let a : Port Q e := ⟨⟨i,⟨e,hv⟩⟩,rfl⟩
121
- let b : Port Q e := ⟨⟨j,⟨e,hw⟩⟩,rfl⟩
122
- by_cases he : i=j
123
- · subst j
124
- refine (show scoreR (scatter t N x) a.val a.val=_ from h i ��e,hv⟩).trans ?_
125
- exact (Matrix.diagonal_apply_eq (fun j : Port Q e => q j.val.1) a).symm
126
- have hh : a≠b := fun h => he (congrArg (fun x:Port Q e => x.val.1) h)
127
- refine Eq.trans (h' i j e hv hw he) ?_
128
- exact (Matrix.diagonal_apply_ne (fun j : Port Q e => q j.val.1) hh).symm
129
-
130
- end HadwigerCounterexample
131
-
132
- end
133
-
134
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.IndependentColumnBatches
2
+ import OAI.Combinatorics.HadwigerCounterexample.CollisionInequality
3
+
4
+ namespace OAI
5
+
6
+ /-! # Bounded Query Templates -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open scoped BigOperators
11
+ open Matrix Module LinearMap Function
12
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
13
+
14
+ structure Template (p : Shape) (I : Type) where
15
+ aim : I→Bool
16
+ t : Tagging p I
17
+ s : I→Label p.b
18
+ f : I→Flavor p.g
19
+
20
+ abbrev Inputs (p : Shape) (n : ℕ) (I : Type) := I → Knobs p.g n
21
+
22
+ namespace Template
23
+ variable (v : Template p I)
24
+
25
+ def draw (y : Inputs p n I) : Volley p n I where
26
+ obj := v.aim
27
+ sel := v.s
28
+ par i := lit (v.f i) (v.t i) (y i)
29
+
30
+ def state (q : I→F) (n : ℕ) : Wgt (Inputs p n I) :=
31
+ prodW (fun i : I => scopedBit p n (v.t i) (v.f i) (q i))
32
+ omit [Fintype I] [DecidableEq I] in
33
+ theorem draw_legal (y : Inputs p n I) : (v.draw y).legal v.t :=
34
+ fun _ => lit_allows _ _ _
35
+ end Template
36
+
37
+ abbrev KeySlots (p : Shape) (t : Tagging p I) := Σ i, TagStar (t i)
38
+
39
+ def scatter (t : Tagging p I) (N : ℕ) : Keys (p:=p) t N ≃ Rack (KeySlots p t) N where
40
+ toFun x := (Matrix.of (fun j i => x i.1 i.2 true j),Matrix.of (fun j i => x i.1 i.2 false j))
41
+ invFun x := fun i j b => if b then x.1.col ⟨i,j⟩ else x.2.col ⟨i,j⟩
42
+ left_inv x := by funext i j b; cases b <;> rfl
43
+ right_inv x := by apply Prod.ext <;> rfl
44
+
45
+ def globPort (p : Shape) (t : Tagging p I) (q : I→Bool) :
46
+ Route (KeySlots p t) (Ports p) :=
47
+ fun x => (q x.1,x.2.val)
48
+
49
+ def nomAsk (t : Tagging p I) (v : Volley p n I) :
50
+ NomQuery p n (globPort p t v.obj) :=
51
+ fun _ => Matrix.of (fun i j => v.rayAt j.val.1 i)
52
+
53
+ omit [Fintype I] [DecidableEq I] in
54
+ theorem peek_keys (t : Tagging p I) (v : Volley p n I) (x : UnitType p n N) :
55
+ peekR p (globPort p t v.obj) (nomAsk t v) (nomAsk t v) (mergeR p x) =
56
+ scatter t N (v.keys t x) := by
57
+ apply Prod.ext
58
+ · ext i j; rfl
59
+ · ext i j; rfl
60
+
61
+ theorem raw_keys (t : Tagging p I) (v : Volley p n I) (m : Mixer p n) {N : ℕ}
62
+ (hN : 2*num (Full p n)<N) (ha : ∀ i, Injective (nomAsk t v i).mulVec) :
63
+ let r := raw m N
64
+ mapW (pairW r r) ((scatter t N) ∘ v.keys t) = rackStation (database m (nomAsk t v) (nomAsk t v)) N := by
65
+ classical
66
+ let g := globPort p t v.obj
67
+ let A := nomAsk t v
68
+ have hh := law_peekR m hN ha ha
69
+ rw [← law_mergeR m N, mapW_nested] at hh
70
+ refine Eq.trans ?_ hh
71
+ congr 1
72
+
73
+ def ownPort (t : Tagging p I) : Route (KeySlots p t) (Comp p.g) := fun x => x.2.val
74
+ def ownMap (t : Tagging p I) (q : I→F) : GeoM (ownPort (p:=p) t) :=
75
+ fun _ => Matrix.diagonal (fun i => q i.val.1)
76
+ def ownPart (t : Tagging p I) (q : I→F) {N : ℕ}
77
+ (x : Keys (p:=p) t N) :=
78
+ gramPart (ownMap (p:=p) t q) (scatter t N x)
79
+ def lawNu (p : Shape) (N : ℕ) (t : Tagging p I) (q : I→F) :
80
+ Wgt (Keys (p:=p) t N) := unifOn (ownPart (p:=p) t q)
81
+
82
+ theorem lawNu_rack (t : Tagging p I) (q : I→F) :
83
+ mapW (lawNu p N t q) (scatter t N) = rackWave (ownMap t q) N :=
84
+ on_equiv ..
85
+
86
+ def ownOne (p : Shape) {N : ℕ} (l : Tag p.g) (q : F) (x : AtomKey (p:=p) l N) :=
87
+ ∀ i,dotProduct (x i true) (x i false) = q
88
+ def lawOmega (p : Shape) (N : ℕ) (l : Tag p.g) (q : F) :
89
+ Wgt (AtomKey (p:=p) l N) := unifOn (ownOne p l q)
90
+
91
+ omit [Fintype I] in
92
+ theorem ownPart_def (t : Tagging p I) (q : I→F) {N : ℕ} (x : Keys (p:=p) t N) :
93
+ ownPart (p:=p) t q x ↔
94
+ (∀ i, ownOne p (t i) (q i) (x i)) ∧
95
+ ∀ (i j : I) (e : Comp p.g) (hi : inc e (t i)) (hj : inc e (t j)), i≠j →
96
+ dotProduct (x i ⟨e,hi⟩ true) (x j ⟨e,hj⟩ false)=0 := by
97
+ classical
98
+ let Q := ownPort (p:=p) t
99
+ unfold ownPart
100
+ rw [part_scores]
101
+ have he i j (e : Comp p.g) (hi : inc e (t i)) (hj : inc e (t j)) :
102
+ let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
103
+ let b : Port Q e := ⟨⟨j,⟨e,hj⟩⟩,rfl⟩
104
+ scoreR (scatter t N x) a b=dotProduct (x i ⟨e,hi⟩ true) (x j ⟨e,hj⟩ false) := rfl
105
+ constructor
106
+ · intro h
107
+ constructor
108
+ · rintro i ⟨e,hi⟩
109
+ let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
110
+ exact (he i i e hi hi).symm.trans ((h e a a).trans (Matrix.diagonal_apply_eq ..))
111
+ intro i j e hi hj heq
112
+ let a : Port Q e := ⟨⟨i,⟨e,hi⟩⟩,rfl⟩
113
+ let b : Port Q e := ⟨⟨j,⟨e,hj⟩⟩,rfl⟩
114
+ have hh : a≠b := fun h => heq (congrArg (fun x:Port Q e => x.val.1) h)
115
+ exact (he i j e hi hj).symm.trans ((h e a b).trans (Matrix.diagonal_apply_ne _ hh))
116
+ · rintro ⟨h,h'⟩ e ⟨⟨i,v⟩,ha⟩ ⟨⟨j,w⟩,hb⟩
117
+ rcases v with ⟨v,hv⟩; rcases w with ⟨w,hw⟩
118
+ change v = e at ha; change w=e at hb
119
+ subst v; subst w
120
+ let a : Port Q e := ⟨⟨i,⟨e,hv⟩⟩,rfl⟩
121
+ let b : Port Q e := ⟨⟨j,⟨e,hw⟩⟩,rfl⟩
122
+ by_cases he : i=j
123
+ · subst j
124
+ refine (show scoreR (scatter t N x) a.val a.val=_ from h i ⟨e,hv⟩).trans ?_
125
+ exact (Matrix.diagonal_apply_eq (fun j : Port Q e => q j.val.1) a).symm
126
+ have hh : a≠b := fun h => he (congrArg (fun x:Port Q e => x.val.1) h)
127
+ refine Eq.trans (h' i j e hv hw he) ?_
128
+ exact (Matrix.diagonal_apply_ne (fun j : Port Q e => q j.val.1) hh).symm
129
+
130
+ end HadwigerCounterexample
131
+
132
+ end
133
+
134
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CellPositivityScales.lean CHANGED
@@ -1,177 +1,177 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SurrogateStatusLaws
2
-
3
- namespace OAI
4
-
5
- /-! # Cell Positivity Scales -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix Function
10
- open scoped BigOperators Topology
11
- variable {p:Shape} {n N K M r : ℕ}
12
- namespace StatusAnalysis
13
- open Template
14
- variable {b : PreparationParameters}
15
-
16
- namespace Appearance
17
- variable (x : Appearance p) {s0 : ℕ}
18
-
19
- theorem readCap (x : Appearance p) (r M : ℕ) (h : AnalyticParameters p M b s0)
20
- (ε : ℝ) (hε : 0<ε) :
21
- ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
22
- ∀ Y : Silhouette p N r,pr (raw m N) (fun o=> x.apt∧¬ x.close Y o ε)≤bp (-(1/16:ℝ)*n) := by
23
- classical
24
- have hp:=h.enter.first
25
- by_cases ha : x.apt
26
- · let δ : ℝ := ε/(r+1:ℝ)
27
- have hδ : 0<δ:=by unfold δ; positivity
28
- filter_upwards [flat_recital x.trot M hp.hM hp.hJ δ hδ,eventually_ge_atTop (2*p.r),
29
- pay_nat (a:=1/8) (b:=1/16) (num (Fin r)) (by norm_num)] with n hn ht hB N m hN Y
30
- let w:= x.wit n; let v:= raw m N
31
- have hw : IsLaw w:= witLaw ha hp.hR ht
32
- let P (i : Fin r) (o : Orient p n N):=
33
- δ≤ |x.empirical Y o i - x.reference Y i|
34
- have hk (i : Fin r) : pr v (P i) ≤ bp (-(1/8:ℝ)*n) := by
35
- let S (z) := ind (Y x.l x.q z=i)
36
- have hf z : |S z|≤1 := by unfold S; rw [abs_of_nonneg (ind_nonneg _)]; exact ind_le_one _
37
- refine hn m w x.q hw (normW_carried (subW_carried _ _))
38
- (scopedZ_bit p n _ _ _ hw) hN S hf
39
- have he (o : Orient p n N) (h : x.apt∧¬x.close Y o ε) : ∃ i,P i o := by
40
- by_contra! hh
41
- apply h.2
42
- unfold close varOne
43
- calc _ ≤ ∑ i : Fin r,δ:= Finset.sum_le_sum fun i _=>le_trans (abs_sub_comm ..).le
44
- (le_of_not_ge (hh i))
45
- _ ≤ ε := by
46
- simp; unfold δ
47
- calc _ ≤ ((r:ℝ)+1)* (ε/(r+1:ℝ)) := mul_le_mul_of_nonneg_right (by linarith) hδ.le
48
- _ = ε := by field_simp
49
- have hv : IsLaw v:= raw_law m hN
50
- exact ((pr_mono hv.nz he).trans (pr_exists_le hv.nz P)).trans
51
- (((Finset.sum_le_sum fun i _=>hk i).trans_eq (by simp [num])).trans hB)
52
- filter_upwards with n N m hN Y
53
- simp_rw [show (x.apt)=False from eq_false ha,false_and,pr_false]; exact (bp_pos _).le
54
-
55
- def foil (x : Appearance p) (Y : Silhouette p N r) (o : Orient p n N)
56
- (m : Mixer p n) (K : ℕ) (δ : ℝ) :=
57
- ∀ (z:Digest p.g) (i:Fin r), z.feasible x.l x.f → z.sumBit=x.q →
58
- δ ≤ x.reference Y i → Template.patrol x.trot m (scopedScan p n x.l x.f z)
59
- (fun y => Y x.l x.q y=i) K x.q o
60
-
61
- theorem foilCap (x : Appearance p) (r M : ℕ) (h : AnalyticParameters p M b s0)
62
- (δ:ℝ) (hδ:0<δ) :
63
- ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
64
- unaryGood m b.pins s0 → ∀ Y: Silhouette p N r,
65
- pr (raw m N) (fun i=>¬x.foil Y i m b.pins δ)≤bp (-(1/18:ℝ)*n) := by
66
- classical
67
- have ht:=h.enter.first
68
- let A:= Digest p.g × Fin r
69
- let Q n (m:Mixer p n) (Y:Silhouette p (M*n) r) (a : A) (o : Orient p n (M*n)) :=
70
- a.1.feasible x.l x.f ∧ a.1.sumBit=x.q ∧ δ≤x.reference Y a.2 ∧
71
- ¬Template.patrol x.trot m (scopedScan p n x.l x.f a.1)
72
- (fun y=>Y x.l x.q y=a.2) b.pins x.q o
73
- have hg (a:A) :
74
- ∀ᶠ n:ℕ in atTop,let N:=M*n;∀ m:Mixer p n,2*num (Full p n)<(N:ℝ) →
75
- unaryGood m b.pins s0→∀ Y:Silhouette p N r,
76
- pr (raw m N) (Q n m Y a) ≤ bp (-(1/16:ℝ)*n) := by
77
- by_cases hf : a.1.feasible x.l x.f ∧ a.1.sumBit=x.q
78
- · filter_upwards [patrolled x.trot M ht.hM ht.hg ht.hJ a.1 hf.1 ht.hR δ hδ h.profiles
79
- h.gleaming] with n hn N m hN hM Y
80
- by_cases he : δ ≤ x.reference Y a.2
81
- · let S : AtomKey (p:=p) (x.trot.t ()) (M*n) →Prop := fun i=>Y x.l x.q i=a.2
82
- let v:=scopedScan p n (x.trot.t ()) (x.trot.f ()) a.1
83
- have hx : δ ≤ pr (lawOmega p (M*n) (x.trot.t ()) a.1.sumBit) S := by
84
- rw [hf.2]; exact he
85
- have hh (i:Orient p n (M*n)) (h:Q n m Y a i) :
86
- ¬Template.patrol x.trot m v S b.pins a.1.sumBit i := hf.2 ▸ h.2.2.2
87
- exact (pr_mono (raw_law m hN).nz hh).trans (hn m hM hN S hx)
88
- have hg : Q n m Y a=fun _=> False :=
89
- funext fun i=> eq_false (fun h=>he h.2.2.1)
90
- change pr (raw m (M*n)) (Q n m Y a) ≤ _
91
- rw [hg,pr_false]; exact (bp_pos _).le
92
- filter_upwards with n N m hN hg Y
93
- have hh : Q n m Y a=fun _=> False :=
94
- funext fun i=> eq_false (fun h=> hf ⟨h.1,h.2.1⟩)
95
- change pr (raw m (M*n)) (Q n m Y a) ≤ _
96
- rw [hh,pr_false]; exact (bp_pos _).le
97
- filter_upwards [eventually_all.mpr hg,pay_nat (a:=1/16) (b:=1/18) (num A) (by norm_num)]
98
- with n hn hB N m hN hM Y
99
- have he o (h : ¬x.foil Y o m b.pins δ) : ∃ i, Q n m Y i o := by
100
- unfold foil at h
101
- push Not at h
102
- obtain ⟨z,i,h⟩:=h
103
- exact ⟨(z,i),h⟩
104
- let v:=raw m N
105
- have hv : IsLaw v:=raw_law m hN
106
- exact ((pr_mono hv.nz he).trans (pr_exists_le hv.nz _)).trans
107
- (((Finset.sum_le_sum fun i _=>hn i m hN hM Y).trans_eq (by simp [num])).trans hB)
108
- end Appearance
109
-
110
- def smoothSilk (p : Shape) (ε δ:ℝ) (Y:Silhouette p N r)
111
- (m:Mixer p n) (K:ℕ) (o:Orient p n N) :=
112
- ∀ x : Appearance p,(x.apt → x.close Y o ε) ∧ x.foil Y o m K δ
113
-
114
- variable {s0 : ℕ}
115
-
116
- def gauze (p : Shape) (ε δ:ℝ) (Y:Silhouette p N r)
117
- (m:Mixer p n) (K:ℕ) (o:UnitType p n N) :=
118
- ∀ i,smoothSilk p ε δ Y m K (onSide o i)
119
-
120
- private theorem silken (p : Shape) (r M : ℕ) (h : AnalyticParameters p M b s0)
121
- (ε δ : ℝ) (he:0<ε) (hd:0<δ) :
122
- ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
123
- unaryGood m b.pins s0 → ∀ Y: Silhouette p N r,
124
- pr (raw m N) (fun i=>¬smoothSilk p ε δ Y m b.pins i)≤bp (-(1/20:ℝ)*n) := by
125
- classical
126
- let A:= Appearance p
127
- filter_upwards [eventually_all.mpr (fun x:A=>x.foilCap r M h δ hd),
128
- eventually_all.mpr (fun x:A=>x.readCap r M h ε he),
129
- pay_nat (a:=1/18) (b:=1/20) (num A*2) (by norm_num)] with n hn ht hB N m hN hM Y
130
- let v:=raw m N
131
- have hv : IsLaw v:=raw_law m hN
132
- let P (x:A) (o:Orient p n N) :=
133
- (x.apt ∧ ¬x.close Y o ε)∨ ¬x.foil Y o m b.pins δ
134
- have hk x : pr v (P x) ≤ 2*bp (-(1/18:ℝ)*n) := by
135
- rw [two_mul]; apply (pr_or_le hv.nz).trans
136
- refine add_le_add ((ht x m hN Y).trans (bp_le ?_)) (hn x m hN hM Y)
137
- linarith [(Nat.cast_nonneg n :0≤(n:ℝ))]
138
- have hi o (h : ¬smoothSilk p ε δ Y m b.pins o) : ∃ i, P i o := by
139
- unfold smoothSilk at h
140
- obtain ⟨i,h⟩:= Classical.not_forall.mp h
141
- exact ⟨i,by unfold P; tauto⟩
142
- refine ((pr_mono hv.nz hi).trans (pr_exists_le hv.nz _)).trans
143
- (((Finset.sum_le_sum fun i _=>hk i).trans_eq ?_).trans hB)
144
- simp [num,mul_assoc]
145
-
146
- theorem gauzeCalendar (p : Shape) (r M : ℕ) (h : AnalyticParameters p M b s0)
147
- (ε δ:ℝ) (he:0<ε) (hd:0<δ) :
148
- ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,∀ u : Wgt (UnitType p n N),
149
- PreparationParameters.Align b s0 p M n m u → ∀ Y: Silhouette p N r,
150
- pr u (fun i=>¬gauze p ε δ Y m b.pins i)≤bp (-(1/100:ℝ)*n) := by
151
- classical
152
- filter_upwards [silken p r M h ε δ he hd,pay_nat (a:=1/20-1/32) (b:=1/100) 2
153
- (by norm_num)] with n hn ht N m u hu Y
154
- let P (o:Orient p n N) := ¬smoothSilk p ε δ Y m b.pins o
155
- let Q (i:Bool) (o:UnitType p n N):=P (onSide o i)
156
- have hc : bySide p u m (bp ((1/32:ℝ)*n)) := fun i=> by
157
- have hh:= hu.drain
158
- cases i; exact hh.2.2.1; exact hh.2.1
159
- have hf : ∀ i,pr u (Q i) ≤bp (-((1/20:ℝ)-1/32)*n) := by
160
- intro i
161
- let x := fun o:UnitType p n N=>onSide o i
162
- change pr u (fun i=>P (x i)) ≤_
163
- rw [←mapW_pr]
164
- exact (pr_cap (hc i) P).trans ((mul_le_mul_of_nonneg_left
165
- (hn m hu.cols hu.hymn Y) (bp_pos _).le).trans_eq (by rw [←bp_add]; congr 1; ring))
166
- have he o (h : ¬gauze p ε δ Y m b.pins o) : ∃ i,Q i o := Classical.not_forall.mp h
167
- have hv : IsLaw u:=hu.drain.1
168
- rw [two_mul] at ht
169
- refine ((pr_mono hv.nz he).trans ((pr_exists_le hv.nz _).trans ?_))
170
- rw [Fintype.sum_bool]; exact (add_le_add (hf _) (hf _)).trans ht
171
-
172
- end StatusAnalysis
173
- end HadwigerCounterexample
174
-
175
- end
176
-
177
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SurrogateStatusLaws
2
+
3
+ namespace OAI
4
+
5
+ /-! # Cell Positivity Scales -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix Function
10
+ open scoped BigOperators Topology
11
+ variable {p:Shape} {n N K M r : ℕ}
12
+ namespace StatusAnalysis
13
+ open Template
14
+ variable {b : PreparationParameters}
15
+
16
+ namespace Appearance
17
+ variable (x : Appearance p) {s0 : ℕ}
18
+
19
+ theorem readCap (x : Appearance p) (r M : ℕ) (h : AnalyticParameters p M b s0)
20
+ (ε : ℝ) (hε : 0<ε) :
21
+ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
22
+ ∀ Y : Silhouette p N r,pr (raw m N) (fun o=> x.apt∧¬ x.close Y o ε)≤bp (-(1/16:ℝ)*n) := by
23
+ classical
24
+ have hp:=h.enter.first
25
+ by_cases ha : x.apt
26
+ · let δ : ℝ := ε/(r+1:ℝ)
27
+ have hδ : 0<δ:=by unfold δ; positivity
28
+ filter_upwards [flat_recital x.trot M hp.hM hp.hJ δ hδ,eventually_ge_atTop (2*p.r),
29
+ pay_nat (a:=1/8) (b:=1/16) (num (Fin r)) (by norm_num)] with n hn ht hB N m hN Y
30
+ let w:= x.wit n; let v:= raw m N
31
+ have hw : IsLaw w:= witLaw ha hp.hR ht
32
+ let P (i : Fin r) (o : Orient p n N):=
33
+ δ≤ |x.empirical Y o i - x.reference Y i|
34
+ have hk (i : Fin r) : pr v (P i) ≤ bp (-(1/8:ℝ)*n) := by
35
+ let S (z) := ind (Y x.l x.q z=i)
36
+ have hf z : |S z|≤1 := by unfold S; rw [abs_of_nonneg (ind_nonneg _)]; exact ind_le_one _
37
+ refine hn m w x.q hw (normW_carried (subW_carried _ _))
38
+ (scopedZ_bit p n _ _ _ hw) hN S hf
39
+ have he (o : Orient p n N) (h : x.apt∧¬x.close Y o ε) : ∃ i,P i o := by
40
+ by_contra! hh
41
+ apply h.2
42
+ unfold close varOne
43
+ calc _ ≤ ∑ i : Fin r,δ:= Finset.sum_le_sum fun i _=>le_trans (abs_sub_comm ..).le
44
+ (le_of_not_ge (hh i))
45
+ _ ≤ ε := by
46
+ simp; unfold δ
47
+ calc _ ≤ ((r:ℝ)+1)* (ε/(r+1:ℝ)) := mul_le_mul_of_nonneg_right (by linarith) hδ.le
48
+ _ = ε := by field_simp
49
+ have hv : IsLaw v:= raw_law m hN
50
+ exact ((pr_mono hv.nz he).trans (pr_exists_le hv.nz P)).trans
51
+ (((Finset.sum_le_sum fun i _=>hk i).trans_eq (by simp [num])).trans hB)
52
+ filter_upwards with n N m hN Y
53
+ simp_rw [show (x.apt)=False from eq_false ha,false_and,pr_false]; exact (bp_pos _).le
54
+
55
+ def foil (x : Appearance p) (Y : Silhouette p N r) (o : Orient p n N)
56
+ (m : Mixer p n) (K : ℕ) (δ : ℝ) :=
57
+ ∀ (z:Digest p.g) (i:Fin r), z.feasible x.l x.f → z.sumBit=x.q →
58
+ δ ≤ x.reference Y i → Template.patrol x.trot m (scopedScan p n x.l x.f z)
59
+ (fun y => Y x.l x.q y=i) K x.q o
60
+
61
+ theorem foilCap (x : Appearance p) (r M : ℕ) (h : AnalyticParameters p M b s0)
62
+ (δ:ℝ) (hδ:0<δ) :
63
+ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
64
+ unaryGood m b.pins s0 → ∀ Y: Silhouette p N r,
65
+ pr (raw m N) (fun i=>¬x.foil Y i m b.pins δ)≤bp (-(1/18:ℝ)*n) := by
66
+ classical
67
+ have ht:=h.enter.first
68
+ let A:= Digest p.g × Fin r
69
+ let Q n (m:Mixer p n) (Y:Silhouette p (M*n) r) (a : A) (o : Orient p n (M*n)) :=
70
+ a.1.feasible x.l x.f ∧ a.1.sumBit=x.q ∧ δ≤x.reference Y a.2 ∧
71
+ ¬Template.patrol x.trot m (scopedScan p n x.l x.f a.1)
72
+ (fun y=>Y x.l x.q y=a.2) b.pins x.q o
73
+ have hg (a:A) :
74
+ ∀ᶠ n:ℕ in atTop,let N:=M*n;∀ m:Mixer p n,2*num (Full p n)<(N:ℝ) →
75
+ unaryGood m b.pins s0→∀ Y:Silhouette p N r,
76
+ pr (raw m N) (Q n m Y a) ≤ bp (-(1/16:ℝ)*n) := by
77
+ by_cases hf : a.1.feasible x.l x.f ∧ a.1.sumBit=x.q
78
+ · filter_upwards [patrolled x.trot M ht.hM ht.hg ht.hJ a.1 hf.1 ht.hR δ hδ h.profiles
79
+ h.gleaming] with n hn N m hN hM Y
80
+ by_cases he : δ ≤ x.reference Y a.2
81
+ · let S : AtomKey (p:=p) (x.trot.t ()) (M*n) →Prop := fun i=>Y x.l x.q i=a.2
82
+ let v:=scopedScan p n (x.trot.t ()) (x.trot.f ()) a.1
83
+ have hx : δ ≤ pr (lawOmega p (M*n) (x.trot.t ()) a.1.sumBit) S := by
84
+ rw [hf.2]; exact he
85
+ have hh (i:Orient p n (M*n)) (h:Q n m Y a i) :
86
+ ¬Template.patrol x.trot m v S b.pins a.1.sumBit i := hf.2 ▸ h.2.2.2
87
+ exact (pr_mono (raw_law m hN).nz hh).trans (hn m hM hN S hx)
88
+ have hg : Q n m Y a=fun _=> False :=
89
+ funext fun i=> eq_false (fun h=>he h.2.2.1)
90
+ change pr (raw m (M*n)) (Q n m Y a) ≤ _
91
+ rw [hg,pr_false]; exact (bp_pos _).le
92
+ filter_upwards with n N m hN hg Y
93
+ have hh : Q n m Y a=fun _=> False :=
94
+ funext fun i=> eq_false (fun h=> hf ⟨h.1,h.2.1⟩)
95
+ change pr (raw m (M*n)) (Q n m Y a) ≤ _
96
+ rw [hh,pr_false]; exact (bp_pos _).le
97
+ filter_upwards [eventually_all.mpr hg,pay_nat (a:=1/16) (b:=1/18) (num A) (by norm_num)]
98
+ with n hn hB N m hN hM Y
99
+ have he o (h : ¬x.foil Y o m b.pins δ) : ∃ i, Q n m Y i o := by
100
+ unfold foil at h
101
+ push Not at h
102
+ obtain ⟨z,i,h⟩:=h
103
+ exact ⟨(z,i),h⟩
104
+ let v:=raw m N
105
+ have hv : IsLaw v:=raw_law m hN
106
+ exact ((pr_mono hv.nz he).trans (pr_exists_le hv.nz _)).trans
107
+ (((Finset.sum_le_sum fun i _=>hn i m hN hM Y).trans_eq (by simp [num])).trans hB)
108
+ end Appearance
109
+
110
+ def smoothSilk (p : Shape) (ε δ:ℝ) (Y:Silhouette p N r)
111
+ (m:Mixer p n) (K:ℕ) (o:Orient p n N) :=
112
+ ∀ x : Appearance p,(x.apt → x.close Y o ε) ∧ x.foil Y o m K δ
113
+
114
+ variable {s0 : ℕ}
115
+
116
+ def gauze (p : Shape) (ε δ:ℝ) (Y:Silhouette p N r)
117
+ (m:Mixer p n) (K:ℕ) (o:UnitType p n N) :=
118
+ ∀ i,smoothSilk p ε δ Y m K (onSide o i)
119
+
120
+ private theorem silken (p : Shape) (r M : ℕ) (h : AnalyticParameters p M b s0)
121
+ (ε δ : ℝ) (he:0<ε) (hd:0<δ) :
122
+ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,2*num (Full p n)<(N:ℝ) →
123
+ unaryGood m b.pins s0 → ∀ Y: Silhouette p N r,
124
+ pr (raw m N) (fun i=>¬smoothSilk p ε δ Y m b.pins i)≤bp (-(1/20:ℝ)*n) := by
125
+ classical
126
+ let A:= Appearance p
127
+ filter_upwards [eventually_all.mpr (fun x:A=>x.foilCap r M h δ hd),
128
+ eventually_all.mpr (fun x:A=>x.readCap r M h ε he),
129
+ pay_nat (a:=1/18) (b:=1/20) (num A*2) (by norm_num)] with n hn ht hB N m hN hM Y
130
+ let v:=raw m N
131
+ have hv : IsLaw v:=raw_law m hN
132
+ let P (x:A) (o:Orient p n N) :=
133
+ (x.apt ∧ ¬x.close Y o ε)∨ ¬x.foil Y o m b.pins δ
134
+ have hk x : pr v (P x) ≤ 2*bp (-(1/18:ℝ)*n) := by
135
+ rw [two_mul]; apply (pr_or_le hv.nz).trans
136
+ refine add_le_add ((ht x m hN Y).trans (bp_le ?_)) (hn x m hN hM Y)
137
+ linarith [(Nat.cast_nonneg n :0≤(n:ℝ))]
138
+ have hi o (h : ¬smoothSilk p ε δ Y m b.pins o) : ∃ i, P i o := by
139
+ unfold smoothSilk at h
140
+ obtain ⟨i,h⟩:= Classical.not_forall.mp h
141
+ exact ⟨i,by unfold P; tauto⟩
142
+ refine ((pr_mono hv.nz hi).trans (pr_exists_le hv.nz _)).trans
143
+ (((Finset.sum_le_sum fun i _=>hk i).trans_eq ?_).trans hB)
144
+ simp [num,mul_assoc]
145
+
146
+ theorem gauzeCalendar (p : Shape) (r M : ℕ) (h : AnalyticParameters p M b s0)
147
+ (ε δ:ℝ) (he:0<ε) (hd:0<δ) :
148
+ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ m : Mixer p n,∀ u : Wgt (UnitType p n N),
149
+ PreparationParameters.Align b s0 p M n m u → ∀ Y: Silhouette p N r,
150
+ pr u (fun i=>¬gauze p ε δ Y m b.pins i)≤bp (-(1/100:ℝ)*n) := by
151
+ classical
152
+ filter_upwards [silken p r M h ε δ he hd,pay_nat (a:=1/20-1/32) (b:=1/100) 2
153
+ (by norm_num)] with n hn ht N m u hu Y
154
+ let P (o:Orient p n N) := ¬smoothSilk p ε δ Y m b.pins o
155
+ let Q (i:Bool) (o:UnitType p n N):=P (onSide o i)
156
+ have hc : bySide p u m (bp ((1/32:ℝ)*n)) := fun i=> by
157
+ have hh:= hu.drain
158
+ cases i; exact hh.2.2.1; exact hh.2.1
159
+ have hf : ∀ i,pr u (Q i) ≤bp (-((1/20:ℝ)-1/32)*n) := by
160
+ intro i
161
+ let x := fun o:UnitType p n N=>onSide o i
162
+ change pr u (fun i=>P (x i)) ≤_
163
+ rw [←mapW_pr]
164
+ exact (pr_cap (hc i) P).trans ((mul_le_mul_of_nonneg_left
165
+ (hn m hu.cols hu.hymn Y) (bp_pos _).le).trans_eq (by rw [←bp_add]; congr 1; ring))
166
+ have he o (h : ¬gauze p ε δ Y m b.pins o) : ∃ i,Q i o := Classical.not_forall.mp h
167
+ have hv : IsLaw u:=hu.drain.1
168
+ rw [two_mul] at ht
169
+ refine ((pr_mono hv.nz he).trans ((pr_exists_le hv.nz _).trans ?_))
170
+ rw [Fintype.sum_bool]; exact (add_le_add (hf _) (hf _)).trans ht
171
+
172
+ end StatusAnalysis
173
+ end HadwigerCounterexample
174
+
175
+ end
176
+
177
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CellPruning.lean CHANGED
@@ -1,128 +1,128 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteConditioning
2
- import OAI.Combinatorics.HadwigerCounterexample.ConditionalProductLaws
3
-
4
- namespace OAI
5
-
6
- /-! # Cell Pruning -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open scoped BigOperators
11
- open Finset
12
- variable {A B I J : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J]
13
-
14
- theorem sum_pr_tag (w : Wgt A) (P : A → Prop) (f : A→I) :
15
- ∑ i:I,pr w (fun x => P x ∧ f x=i) = pr w P := by
16
- classical
17
- unfold pr
18
- rw [← avg_sum]
19
- refine avg_congr fun x _ => ?_
20
- simp only [ind_and, ← Finset.mul_sum]
21
- rw [Finset.sum_eq_single (f x)]
22
- · rw [ind_one rfl,mul_one]
23
- · intro j _ hj; exact ind_zero hj.symm
24
- simp
25
-
26
- /-- implication needed only almost surely for finite measures. -/
27
- theorem pr_on_mono {w : Wgt A} (hw : ∀ x,0≤w x) {P Q : A→Prop}
28
- (h : ∀ x,w x≠0→ P x→ Q x) : pr w P ≤ pr w Q :=
29
- Finset.sum_le_sum (fun x _ => by
30
- by_cases he : w x=0
31
- · simp [he]
32
- exact mul_le_mul_of_nonneg_left (ind_mono (h x he)) (hw x))
33
-
34
- theorem sum_pr_cells (w : Wgt (A × B)) (P : A × B → Prop) (f : A→I) (g : B→J) :
35
- ∑ i:I,∑ j:J,pr w (fun x => P x ∧ f x.1=i ∧ g x.2=j) = pr w P := by
36
- classical
37
- rw [← sum_pr_tag w P (fun x => (f x.1,g x.2)), Fintype.sum_prod_type]
38
- simp only [Prod.mk.injEq]
39
-
40
- /-- restore the full pair-event probability in a specified cell. -/
41
- theorem pair_restore (u : Wgt A) (v : Wgt B) (P : A → Prop) (Q : B → Prop)
42
- (hP : 0 < pr u P) (hQ : 0 < pr v Q)
43
- (c : A × B → Prop) :
44
- pr (pairW u v) (fun x => P x.1 ∧ Q x.2 ∧ c x)=
45
- pr u P * pr v Q * pr (pairW (onW u P) (onW v Q)) c := by
46
- classical
47
- let D := pr u P * pr v Q
48
- let d := pairW (onW u P) (onW v Q)
49
- change avg _ _ = D*avg d _
50
- unfold avg
51
- rw [Finset.mul_sum]
52
- refine Finset.sum_congr rfl fun i _ => ?_
53
- simp only [pairW,d,onW_val,D,ind_and]
54
- field_simp
55
-
56
- def memberC (p : A→Prop) (f : A→I) (i : I) (x : A) := p x ∧ f x=i
57
-
58
- /-- heavy cells criterion. Loss charged to τ times opposite mass
59
- rather than τ alone (key q fixed). -/
60
- theorem prune_pairs (w : Wgt A) (v : Wgt B) (hw : SubLaw w) (hv : SubLaw v)
61
- (P : A → Prop) (Q : B→Prop) (f : A→I) (g : B→J)
62
- (C : A×B→Prop) (H T : ℝ) (hH : 0≤H) (hT : 0<T)
63
- {L : ℝ} (hi : (Fintype.card I : ℝ) ≤ L)
64
- (hj : (Fintype.card J : ℝ) ≤ L)
65
- (h : ∀ i j,T ≤ pr w (memberC P f i) → T ≤ pr v (memberC Q g j) →
66
- H≤ pr (pairW (onW w (memberC P f i)) (onW v (memberC Q g j))) C) :
67
- H * (pr w P * pr v Q) ≤ pr (pairW w v) (fun x => P x.1 ∧ Q x.2 ∧ C x) +
68
- (H*T*L)*(pr w P+pr v Q) := by
69
- classical
70
- let a (i:I) := pr w (memberC P f i)
71
- let b (i:J) := pr v (memberC Q g i)
72
- let d (i:I) (j:J) := pr (pairW w v) (fun x => memberC P f i x.1 ∧ memberC Q g j x.2 ∧ C x)
73
- have ha i : 0≤a i := pr_nonneg hw.nz
74
- have hb i : 0≤b i := pr_nonneg hv.nz
75
- have he i j : H*(a i*b j) ≤ d i j+ H*T*b j + H*T*a i := by
76
- have hz : 0≤ d i j := pr_nonneg (subLaw_pair hw hv).nz
77
- have ha' := mul_nonneg (mul_nonneg hH hT.le) (ha i)
78
- have hb' := mul_nonneg (mul_nonneg hH hT.le) (hb j)
79
- by_cases ht : T ≤ a i
80
- · by_cases hh : T ≤ b j
81
- · have hc := mul_le_mul_of_nonneg_right (h i j ht hh) (mul_nonneg (ha i) (hb j))
82
- have h1 := pair_restore w v _ _ (lt_of_lt_of_le hT ht) (lt_of_lt_of_le hT hh) C
83
- refine hc.trans ?_
84
- rw [mul_comm (pr _ C)]
85
- change _ ≤ d i j + _ + _
86
- unfold d
87
- rw [h1]
88
- change _ ≤ a i*b j * _ + _+_
89
- linarith
90
- · have hg := mul_le_mul_of_nonneg_left (le_of_not_ge hh) (mul_nonneg hH (ha i))
91
- calc H*(a i*b j) ≤ H*T*a i := by linarith only [hg]
92
- _ ≤ _ := by linarith only [hb',hz]
93
- have hg := mul_le_mul_of_nonneg_left (le_of_not_ge ht) (mul_nonneg hH (hb j))
94
- calc H*(a i*b j) ≤ H*T*b j := by linarith only [hg]
95
- _ ≤ _ := by linarith only [ha',hz]
96
- have hA : pr w P=∑ i,a i := (sum_pr_tag w P f).symm
97
- have hB : pr v Q=∑ j,b j := (sum_pr_tag v Q g).symm
98
- have hC :
99
- pr (pairW w v) (fun x => P x.1 ∧ Q x.2 ∧ C x) = ∑ i,∑ j,d i j := by
100
- rw [← sum_pr_cells (pairW w v) _ f g]
101
- refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun j _ => ?_
102
- unfold d; congr 1; unfold memberC; ext; tauto
103
- have h1 : H * (pr w P * pr v Q)=∑ i,∑ j,H*(a i*b j) := by
104
- rw [hA,hB]
105
- simp only [Finset.sum_mul,Finset.mul_sum]
106
- exact Finset.sum_comm;
107
- have h2 : ∑ i:I,∑ j:J,H*T*b j=(Fintype.card I:ℝ)*(H*T*pr v Q) := by
108
- simp only [← Finset.mul_sum,←hB,Finset.sum_const, Finset.card_univ, nsmul_eq_mul]
109
- ring
110
- have h3 : ∑ i:I,∑ j:J,H*T*a i=(Fintype.card J:ℝ)*(H*T*pr w P) := by
111
- rw [Finset.sum_comm]
112
- simp only [← Finset.mul_sum,←hA,Finset.sum_const,Finset.card_univ,nsmul_eq_mul]
113
- ring
114
- rw [h1]
115
- refine (Finset.sum_le_sum fun i _ => Finset.sum_le_sum fun j _ => he i j).trans ?_
116
- simp only [Finset.sum_add_distrib]
117
- rw [h2,h3,← hC]
118
- have hh := mul_le_mul_of_nonneg_right hj (show 0≤H*T*pr w P from
119
- mul_nonneg (mul_nonneg hH hT.le) (pr_nonneg hw.nz))
120
- have hh' := mul_le_mul_of_nonneg_right hi (show 0≤H*T*pr v Q from
121
- mul_nonneg (mul_nonneg hH hT.le) (pr_nonneg hv.nz))
122
- linarith only [hh,hh']
123
-
124
- end HadwigerCounterexample
125
-
126
- end
127
-
128
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteConditioning
2
+ import OAI.Combinatorics.HadwigerCounterexample.ConditionalProductLaws
3
+
4
+ namespace OAI
5
+
6
+ /-! # Cell Pruning -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open scoped BigOperators
11
+ open Finset
12
+ variable {A B I J : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J]
13
+
14
+ theorem sum_pr_tag (w : Wgt A) (P : A → Prop) (f : A→I) :
15
+ ∑ i:I,pr w (fun x => P x ∧ f x=i) = pr w P := by
16
+ classical
17
+ unfold pr
18
+ rw [← avg_sum]
19
+ refine avg_congr fun x _ => ?_
20
+ simp only [ind_and, ← Finset.mul_sum]
21
+ rw [Finset.sum_eq_single (f x)]
22
+ · rw [ind_one rfl,mul_one]
23
+ · intro j _ hj; exact ind_zero hj.symm
24
+ simp
25
+
26
+ /-- implication needed only almost surely for finite measures. -/
27
+ theorem pr_on_mono {w : Wgt A} (hw : ∀ x,0≤w x) {P Q : A→Prop}
28
+ (h : ∀ x,w x≠0→ P x→ Q x) : pr w P ≤ pr w Q :=
29
+ Finset.sum_le_sum (fun x _ => by
30
+ by_cases he : w x=0
31
+ · simp [he]
32
+ exact mul_le_mul_of_nonneg_left (ind_mono (h x he)) (hw x))
33
+
34
+ theorem sum_pr_cells (w : Wgt (A × B)) (P : A × B → Prop) (f : A→I) (g : B→J) :
35
+ ∑ i:I,∑ j:J,pr w (fun x => P x ∧ f x.1=i ∧ g x.2=j) = pr w P := by
36
+ classical
37
+ rw [← sum_pr_tag w P (fun x => (f x.1,g x.2)), Fintype.sum_prod_type]
38
+ simp only [Prod.mk.injEq]
39
+
40
+ /-- restore the full pair-event probability in a specified cell. -/
41
+ theorem pair_restore (u : Wgt A) (v : Wgt B) (P : A → Prop) (Q : B → Prop)
42
+ (hP : 0 < pr u P) (hQ : 0 < pr v Q)
43
+ (c : A × B → Prop) :
44
+ pr (pairW u v) (fun x => P x.1 ∧ Q x.2 ∧ c x)=
45
+ pr u P * pr v Q * pr (pairW (onW u P) (onW v Q)) c := by
46
+ classical
47
+ let D := pr u P * pr v Q
48
+ let d := pairW (onW u P) (onW v Q)
49
+ change avg _ _ = D*avg d _
50
+ unfold avg
51
+ rw [Finset.mul_sum]
52
+ refine Finset.sum_congr rfl fun i _ => ?_
53
+ simp only [pairW,d,onW_val,D,ind_and]
54
+ field_simp
55
+
56
+ def memberC (p : A→Prop) (f : A→I) (i : I) (x : A) := p x ∧ f x=i
57
+
58
+ /-- heavy cells criterion. Loss charged to τ times opposite mass
59
+ rather than τ alone (key q fixed). -/
60
+ theorem prune_pairs (w : Wgt A) (v : Wgt B) (hw : SubLaw w) (hv : SubLaw v)
61
+ (P : A → Prop) (Q : B→Prop) (f : A→I) (g : B→J)
62
+ (C : A×B→Prop) (H T : ℝ) (hH : 0≤H) (hT : 0<T)
63
+ {L : ℝ} (hi : (Fintype.card I : ℝ) ≤ L)
64
+ (hj : (Fintype.card J : ℝ) ≤ L)
65
+ (h : ∀ i j,T ≤ pr w (memberC P f i) → T ≤ pr v (memberC Q g j) →
66
+ H≤ pr (pairW (onW w (memberC P f i)) (onW v (memberC Q g j))) C) :
67
+ H * (pr w P * pr v Q) ≤ pr (pairW w v) (fun x => P x.1 ∧ Q x.2 ∧ C x) +
68
+ (H*T*L)*(pr w P+pr v Q) := by
69
+ classical
70
+ let a (i:I) := pr w (memberC P f i)
71
+ let b (i:J) := pr v (memberC Q g i)
72
+ let d (i:I) (j:J) := pr (pairW w v) (fun x => memberC P f i x.1 ∧ memberC Q g j x.2 ∧ C x)
73
+ have ha i : 0≤a i := pr_nonneg hw.nz
74
+ have hb i : 0≤b i := pr_nonneg hv.nz
75
+ have he i j : H*(a i*b j) ≤ d i j+ H*T*b j + H*T*a i := by
76
+ have hz : 0≤ d i j := pr_nonneg (subLaw_pair hw hv).nz
77
+ have ha' := mul_nonneg (mul_nonneg hH hT.le) (ha i)
78
+ have hb' := mul_nonneg (mul_nonneg hH hT.le) (hb j)
79
+ by_cases ht : T ≤ a i
80
+ · by_cases hh : T ≤ b j
81
+ · have hc := mul_le_mul_of_nonneg_right (h i j ht hh) (mul_nonneg (ha i) (hb j))
82
+ have h1 := pair_restore w v _ _ (lt_of_lt_of_le hT ht) (lt_of_lt_of_le hT hh) C
83
+ refine hc.trans ?_
84
+ rw [mul_comm (pr _ C)]
85
+ change _ ≤ d i j + _ + _
86
+ unfold d
87
+ rw [h1]
88
+ change _ ≤ a i*b j * _ + _+_
89
+ linarith
90
+ · have hg := mul_le_mul_of_nonneg_left (le_of_not_ge hh) (mul_nonneg hH (ha i))
91
+ calc H*(a i*b j) ≤ H*T*a i := by linarith only [hg]
92
+ _ ≤ _ := by linarith only [hb',hz]
93
+ have hg := mul_le_mul_of_nonneg_left (le_of_not_ge ht) (mul_nonneg hH (hb j))
94
+ calc H*(a i*b j) ≤ H*T*b j := by linarith only [hg]
95
+ _ ≤ _ := by linarith only [ha',hz]
96
+ have hA : pr w P=∑ i,a i := (sum_pr_tag w P f).symm
97
+ have hB : pr v Q=∑ j,b j := (sum_pr_tag v Q g).symm
98
+ have hC :
99
+ pr (pairW w v) (fun x => P x.1 ∧ Q x.2 ∧ C x) = ∑ i,∑ j,d i j := by
100
+ rw [← sum_pr_cells (pairW w v) _ f g]
101
+ refine Finset.sum_congr rfl fun i _ => Finset.sum_congr rfl fun j _ => ?_
102
+ unfold d; congr 1; unfold memberC; ext; tauto
103
+ have h1 : H * (pr w P * pr v Q)=∑ i,∑ j,H*(a i*b j) := by
104
+ rw [hA,hB]
105
+ simp only [Finset.sum_mul,Finset.mul_sum]
106
+ exact Finset.sum_comm;
107
+ have h2 : ∑ i:I,∑ j:J,H*T*b j=(Fintype.card I:ℝ)*(H*T*pr v Q) := by
108
+ simp only [← Finset.mul_sum,←hB,Finset.sum_const, Finset.card_univ, nsmul_eq_mul]
109
+ ring
110
+ have h3 : ∑ i:I,∑ j:J,H*T*a i=(Fintype.card J:ℝ)*(H*T*pr w P) := by
111
+ rw [Finset.sum_comm]
112
+ simp only [← Finset.mul_sum,←hA,Finset.sum_const,Finset.card_univ,nsmul_eq_mul]
113
+ ring
114
+ rw [h1]
115
+ refine (Finset.sum_le_sum fun i _ => Finset.sum_le_sum fun j _ => he i j).trans ?_
116
+ simp only [Finset.sum_add_distrib]
117
+ rw [h2,h3,← hC]
118
+ have hh := mul_le_mul_of_nonneg_right hj (show 0≤H*T*pr w P from
119
+ mul_nonneg (mul_nonneg hH hT.le) (pr_nonneg hw.nz))
120
+ have hh' := mul_le_mul_of_nonneg_right hi (show 0≤H*T*pr v Q from
121
+ mul_nonneg (mul_nonneg hH hT.le) (pr_nonneg hv.nz))
122
+ linarith only [hh,hh']
123
+
124
+ end HadwigerCounterexample
125
+
126
+ end
127
+
128
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ChannelFactorization.lean CHANGED
@@ -1,144 +1,144 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BilinearCompression
2
-
3
- namespace OAI
4
-
5
- /-! # Channel Factorization -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Submodule Module
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ}
12
- variable {I J : Type} [Fintype I] [Fintype J]
13
-
14
- /-- Pairing rank after imposing orthogonality constraints. -/
15
- theorem biorth_exists (S T : Space (Vec I)) (r : ℕ)
16
- (h : r+dim S+dim T≤Fintype.card I) :
17
- ∃ A B : Mat I (Fin r), colSp A≤ annih S ∧ colSp B≤ annih T ∧ Aᵀ*B=1 := by
18
- classical
19
- let V := annih S
20
- let W := annih T
21
- let M := (pack V)ᵀ * pack W
22
- let t := M.rank
23
- have ht : r≤t := by
24
- have h1 := rank_ge_mul (pack V)ᵀ (pack W)
25
- rw [Matrix.rank_transpose,mrk_inj.mp (pack_inj V),mrk_inj.mp (pack_inj W),
26
- Fintype.card_fin,Fintype.card_fin] at h1
27
- have h2 : dim S+dim V=Fintype.card I := annih_dim S
28
- have h3 : dim T+dim W=Fintype.card I := annih_dim T
29
- have he (a b c d t r e : ℕ) (h : r+a+b ≤ e) (hx : a+c=e) (hy : b+d=e) (ht : c+d≤t+e) :
30
- r≤t := by omega
31
- exact he _ _ _ _ _ _ _ h h2 h3 h1
32
- obtain ⟨A,B,hA,hB,hM⟩ := rank_product M
33
- obtain ⟨L,hL⟩ := mat_left_inv hA
34
- obtain ⟨R,hR⟩ := mat_left_inv (P:=Bᵀ) (transpose_surj_iff.mp (by rw [Matrix.transpose_transpose]; exact hB))
35
- let E := embedMat (Fin.castLE ht)
36
- refine ⟨pack V * (Lᵀ * E),pack W*(Rᵀ*E),?_,?_,?_⟩
37
- · rintro x ⟨x,rfl⟩
38
- rw [Matrix.mulVecLin_apply,← Matrix.mulVec_mulVec]
39
- exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
40
- · rintro x ⟨x,rfl⟩
41
- rw [Matrix.mulVecLin_apply,← Matrix.mulVec_mulVec]
42
- exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
43
- have he : L*M*Rᵀ=1 := by
44
- have hg : B*Rᵀ=1 := by
45
- simpa only [Matrix.transpose_mul, Matrix.transpose_transpose, Matrix.transpose_one] using
46
- congrArg Matrix.transpose hR
47
- refine (congrArg (fun X => L*X*Rᵀ) hM).symm.trans ?_
48
- rw [← Matrix.mul_assoc L,hL,Matrix.one_mul,hg]
49
- have heq : Eᵀ * E=1 := embedMat_self (Fin.castLE_injective ht)
50
- rw [Matrix.transpose_mul,Matrix.transpose_mul,Matrix.transpose_transpose]
51
- calc _ = Eᵀ*(L*M*Rᵀ)*E := by simp only [M,Matrix.mul_assoc]
52
- _ = _ := by rw [he,Matrix.mul_one,heq]
53
-
54
- /-- split desired respective bounded-rank bilinear form -/
55
- theorem pure_chan_split (M : Mat J J) (S T : Space (Vec I)) (X Y : Space (Vec J))
56
- (h : M∈box (annih X) (annih Y)) (ht : M.rank+dim S+dim T ≤ Fintype.card I) :
57
- ∃ A ∈ box (annih S) (annih X),∃ B∈box (annih T) (annih Y), Aᵀ * B=M := by
58
- classical
59
- obtain ⟨P,Q,hP,hQ,hM⟩ := rank_product M
60
- obtain ⟨A,B,hA,hB,he⟩ := biorth_exists S T M.rank ht
61
- obtain ⟨hx,hy⟩ := box_kill.mp h
62
- refine ⟨A * Pᵀ,?_,B*Q,?_,?_⟩
63
- · rw [box_kill]
64
- constructor
65
- · intro x hx; rw [Matrix.transpose_mul,← Matrix.mulVec_mulVec,(colSp_kill ..).mp hA x hx,
66
- Matrix.mulVec_zero]
67
- intro x hv
68
- have hv' : Pᵀ *ᵥ x=0 := by
69
- have hqi := (transpose_surj_iff (P:=Qᵀ)).mp (by rw [Matrix.transpose_transpose]; exact hQ)
70
- apply hqi
71
- rw [Matrix.mulVec_mulVec,← Matrix.transpose_mul,hM,hx x hv,Matrix.mulVec_zero]
72
- rw [←Matrix.mulVec_mulVec,hv',mulVec_zero]
73
- · rw [box_kill]
74
- constructor
75
- · intro x hv; rw [Matrix.transpose_mul,←Matrix.mulVec_mulVec,(colSp_kill ..).mp hB x hv,
76
- Matrix.mulVec_zero]
77
- intro y hv
78
- have hv' : Q *ᵥ y=0 := by
79
- apply hP
80
- rw [Matrix.mulVec_mulVec,hM,hy y hv,mulVec_zero]
81
- rw [←Matrix.mulVec_mulVec,hv',mulVec_zero]
82
- · rw [Matrix.transpose_mul,Matrix.transpose_transpose,← Matrix.mul_assoc _ B, Matrix.mul_assoc P,
83
- he,Matrix.mul_one,hM]
84
-
85
- /-- The final channel change for fixed B endpoint. -/
86
- theorem chan_factor {f b : Plan p n} {P : PureForms p n} {C : ChanOut p n} {j : Bool}
87
- (H T K : ℕ) (hc : outSmall H C) (hK : ∀ z,dim (hPin b z j)≤K)
88
- (hh : T+2*(K+2*H)≤p.h)
89
- (hP : P∈pureSpace p f) (ht : ∀ e,(P e).rank≤T) :
90
- ∃ D∈deltaSpace p f b j,obsPair p (chanInner p (C+D) (C+D))=
91
- obsPair p (chanInner p C C)+obsPair p P := by
92
- classical
93
- let S (z : Place p) := hPin b (flipZ p z) j ⊔ priOut p C (flipZ p z)
94
- have h (z : Place p) : dim (S z) ≤ K+2*H :=
95
- (Submodule.finrank_add_le_finrank_add_finrank ..).trans
96
- (add_le_add (hK _) (dim_priOut hc _))
97
- choose A hA B hB hQ using fun e : Comp p.g =>
98
- pure_chan_split (P e) (S (e,true)) (S (e,false)) (f (e,true)) (f (e,false))
99
- ((pureSpace_mem _).mp hP e) ((add_le_add
100
- (add_le_add (ht e) (h (e,true))) (h (e,false))).trans
101
- (by
102
- rw [Fintype.card_fin]
103
- rwa [two_mul, ← add_assoc] at hh))
104
- let D : ChanOut p n := fun z => if z.2 then A z.1 else B z.1
105
- have h1 (z : Place p) : D z∈box (annih (S z)) (annih (f z)) := by
106
- cases z with | mk e c => cases c; exact hB e; exact hA e
107
- refine ⟨D,(deltaSpace_mem _).mpr ?_,?_⟩
108
- · intro z
109
- refine box_le ?_ le_rfl (h1 z)
110
- intro x hx
111
- rw [annih_mem]
112
- exact fun y hy => (annih_mem ..).mp hx y (Submodule.mem_sup_left hy)
113
- have hg : chanInner p D D=P := funext (fun e => hQ e)
114
- have he (z : Place p) (i l : Bool) (x y : Ray p n) :
115
- dotProduct ((C (flipZ p z)*IP p n i) *ᵥ x) ((D z*IP p n l)*ᵥ y)=0 := by
116
- have hq : ((C (flipZ p z)*IP p n i) *ᵥ x) ∈ S z :=
117
- Submodule.mem_sup_right (le_priOut C _ i ⟨x,rfl⟩)
118
- have hl : ((D z * IP p n l)*ᵥ y) ∈ annih (S z) := by
119
- rw [←Matrix.mulVec_mulVec]
120
- exact ((box_mem ..).mp (h1 z)).1 ⟨_,rfl⟩
121
- rw [dotProduct_comm]
122
- exact (annih_mem ..).mp hl _ hq
123
- have hd : obsPair p (chanDeriv p C D)=0 := by
124
- rw [←obsI_each]
125
- have hz : eachF p (chanDeriv p C D)=0 := by
126
- unfold chanDeriv; rw [map_add]
127
- funext i e
128
- rw [Pi.add_apply,Pi.add_apply,each_chan_val,each_chan_val]
129
- refine evmat_ext fun x y => ?_
130
- rw [evmat_addM,ev_duom,ev_duom]
131
- have hh1 := he (e,false) i i x y
132
- have hh2 := he (e,true) i i y x
133
- simp only [flipZ,Bool.not_false,Bool.not_true] at hh1 hh2
134
- rw [hh1,
135
- dotProduct_comm ((D (e,true) * IP p n i) *ᵥ _),hh2]
136
- simp [evmat]
137
- rw [hz,map_zero]
138
- rw [obsPair_chan_change,hd,add_zero,hg]
139
-
140
- end HadwigerCounterexample
141
-
142
- end
143
-
144
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BilinearCompression
2
+
3
+ namespace OAI
4
+
5
+ /-! # Channel Factorization -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Submodule Module
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ}
12
+ variable {I J : Type} [Fintype I] [Fintype J]
13
+
14
+ /-- Pairing rank after imposing orthogonality constraints. -/
15
+ theorem biorth_exists (S T : Space (Vec I)) (r : ℕ)
16
+ (h : r+dim S+dim T≤Fintype.card I) :
17
+ ∃ A B : Mat I (Fin r), colSp A≤ annih S ∧ colSp B≤ annih T ∧ Aᵀ*B=1 := by
18
+ classical
19
+ let V := annih S
20
+ let W := annih T
21
+ let M := (pack V)ᵀ * pack W
22
+ let t := M.rank
23
+ have ht : r≤t := by
24
+ have h1 := rank_ge_mul (pack V)ᵀ (pack W)
25
+ rw [Matrix.rank_transpose,mrk_inj.mp (pack_inj V),mrk_inj.mp (pack_inj W),
26
+ Fintype.card_fin,Fintype.card_fin] at h1
27
+ have h2 : dim S+dim V=Fintype.card I := annih_dim S
28
+ have h3 : dim T+dim W=Fintype.card I := annih_dim T
29
+ have he (a b c d t r e : ℕ) (h : r+a+b ≤ e) (hx : a+c=e) (hy : b+d=e) (ht : c+d≤t+e) :
30
+ r≤t := by omega
31
+ exact he _ _ _ _ _ _ _ h h2 h3 h1
32
+ obtain ⟨A,B,hA,hB,hM⟩ := rank_product M
33
+ obtain ⟨L,hL⟩ := mat_left_inv hA
34
+ obtain ⟨R,hR⟩ := mat_left_inv (P:=Bᵀ) (transpose_surj_iff.mp (by rw [Matrix.transpose_transpose]; exact hB))
35
+ let E := embedMat (Fin.castLE ht)
36
+ refine ⟨pack V * (Lᵀ * E),pack W*(Rᵀ*E),?_,?_,?_⟩
37
+ · rintro x ⟨x,rfl⟩
38
+ rw [Matrix.mulVecLin_apply,← Matrix.mulVec_mulVec]
39
+ exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
40
+ · rintro x ⟨x,rfl⟩
41
+ rw [Matrix.mulVecLin_apply,← Matrix.mulVec_mulVec]
42
+ exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
43
+ have he : L*M*Rᵀ=1 := by
44
+ have hg : B*Rᵀ=1 := by
45
+ simpa only [Matrix.transpose_mul, Matrix.transpose_transpose, Matrix.transpose_one] using
46
+ congrArg Matrix.transpose hR
47
+ refine (congrArg (fun X => L*X*Rᵀ) hM).symm.trans ?_
48
+ rw [← Matrix.mul_assoc L,hL,Matrix.one_mul,hg]
49
+ have heq : Eᵀ * E=1 := embedMat_self (Fin.castLE_injective ht)
50
+ rw [Matrix.transpose_mul,Matrix.transpose_mul,Matrix.transpose_transpose]
51
+ calc _ = Eᵀ*(L*M*Rᵀ)*E := by simp only [M,Matrix.mul_assoc]
52
+ _ = _ := by rw [he,Matrix.mul_one,heq]
53
+
54
+ /-- split desired respective bounded-rank bilinear form -/
55
+ theorem pure_chan_split (M : Mat J J) (S T : Space (Vec I)) (X Y : Space (Vec J))
56
+ (h : M∈box (annih X) (annih Y)) (ht : M.rank+dim S+dim T ≤ Fintype.card I) :
57
+ ∃ A ∈ box (annih S) (annih X),∃ B∈box (annih T) (annih Y), Aᵀ * B=M := by
58
+ classical
59
+ obtain ⟨P,Q,hP,hQ,hM⟩ := rank_product M
60
+ obtain ⟨A,B,hA,hB,he⟩ := biorth_exists S T M.rank ht
61
+ obtain ⟨hx,hy⟩ := box_kill.mp h
62
+ refine ⟨A * Pᵀ,?_,B*Q,?_,?_⟩
63
+ · rw [box_kill]
64
+ constructor
65
+ · intro x hx; rw [Matrix.transpose_mul,← Matrix.mulVec_mulVec,(colSp_kill ..).mp hA x hx,
66
+ Matrix.mulVec_zero]
67
+ intro x hv
68
+ have hv' : Pᵀ *ᵥ x=0 := by
69
+ have hqi := (transpose_surj_iff (P:=Qᵀ)).mp (by rw [Matrix.transpose_transpose]; exact hQ)
70
+ apply hqi
71
+ rw [Matrix.mulVec_mulVec,← Matrix.transpose_mul,hM,hx x hv,Matrix.mulVec_zero]
72
+ rw [←Matrix.mulVec_mulVec,hv',mulVec_zero]
73
+ · rw [box_kill]
74
+ constructor
75
+ · intro x hv; rw [Matrix.transpose_mul,←Matrix.mulVec_mulVec,(colSp_kill ..).mp hB x hv,
76
+ Matrix.mulVec_zero]
77
+ intro y hv
78
+ have hv' : Q *ᵥ y=0 := by
79
+ apply hP
80
+ rw [Matrix.mulVec_mulVec,hM,hy y hv,mulVec_zero]
81
+ rw [←Matrix.mulVec_mulVec,hv',mulVec_zero]
82
+ · rw [Matrix.transpose_mul,Matrix.transpose_transpose,← Matrix.mul_assoc _ B, Matrix.mul_assoc P,
83
+ he,Matrix.mul_one,hM]
84
+
85
+ /-- The final channel change for fixed B endpoint. -/
86
+ theorem chan_factor {f b : Plan p n} {P : PureForms p n} {C : ChanOut p n} {j : Bool}
87
+ (H T K : ℕ) (hc : outSmall H C) (hK : ∀ z,dim (hPin b z j)≤K)
88
+ (hh : T+2*(K+2*H)≤p.h)
89
+ (hP : P∈pureSpace p f) (ht : ∀ e,(P e).rank≤T) :
90
+ ∃ D∈deltaSpace p f b j,obsPair p (chanInner p (C+D) (C+D))=
91
+ obsPair p (chanInner p C C)+obsPair p P := by
92
+ classical
93
+ let S (z : Place p) := hPin b (flipZ p z) j ⊔ priOut p C (flipZ p z)
94
+ have h (z : Place p) : dim (S z) ≤ K+2*H :=
95
+ (Submodule.finrank_add_le_finrank_add_finrank ..).trans
96
+ (add_le_add (hK _) (dim_priOut hc _))
97
+ choose A hA B hB hQ using fun e : Comp p.g =>
98
+ pure_chan_split (P e) (S (e,true)) (S (e,false)) (f (e,true)) (f (e,false))
99
+ ((pureSpace_mem _).mp hP e) ((add_le_add
100
+ (add_le_add (ht e) (h (e,true))) (h (e,false))).trans
101
+ (by
102
+ rw [Fintype.card_fin]
103
+ rwa [two_mul, ← add_assoc] at hh))
104
+ let D : ChanOut p n := fun z => if z.2 then A z.1 else B z.1
105
+ have h1 (z : Place p) : D z∈box (annih (S z)) (annih (f z)) := by
106
+ cases z with | mk e c => cases c; exact hB e; exact hA e
107
+ refine ⟨D,(deltaSpace_mem _).mpr ?_,?_⟩
108
+ · intro z
109
+ refine box_le ?_ le_rfl (h1 z)
110
+ intro x hx
111
+ rw [annih_mem]
112
+ exact fun y hy => (annih_mem ..).mp hx y (Submodule.mem_sup_left hy)
113
+ have hg : chanInner p D D=P := funext (fun e => hQ e)
114
+ have he (z : Place p) (i l : Bool) (x y : Ray p n) :
115
+ dotProduct ((C (flipZ p z)*IP p n i) *ᵥ x) ((D z*IP p n l)*ᵥ y)=0 := by
116
+ have hq : ((C (flipZ p z)*IP p n i) *ᵥ x) ∈ S z :=
117
+ Submodule.mem_sup_right (le_priOut C _ i ⟨x,rfl⟩)
118
+ have hl : ((D z * IP p n l)*ᵥ y) ∈ annih (S z) := by
119
+ rw [←Matrix.mulVec_mulVec]
120
+ exact ((box_mem ..).mp (h1 z)).1 ⟨_,rfl⟩
121
+ rw [dotProduct_comm]
122
+ exact (annih_mem ..).mp hl _ hq
123
+ have hd : obsPair p (chanDeriv p C D)=0 := by
124
+ rw [←obsI_each]
125
+ have hz : eachF p (chanDeriv p C D)=0 := by
126
+ unfold chanDeriv; rw [map_add]
127
+ funext i e
128
+ rw [Pi.add_apply,Pi.add_apply,each_chan_val,each_chan_val]
129
+ refine evmat_ext fun x y => ?_
130
+ rw [evmat_addM,ev_duom,ev_duom]
131
+ have hh1 := he (e,false) i i x y
132
+ have hh2 := he (e,true) i i y x
133
+ simp only [flipZ,Bool.not_false,Bool.not_true] at hh1 hh2
134
+ rw [hh1,
135
+ dotProduct_comm ((D (e,true) * IP p n i) *ᵥ _),hh2]
136
+ simp [evmat]
137
+ rw [hz,map_zero]
138
+ rw [obsPair_chan_change,hd,add_zero,hg]
139
+
140
+ end HadwigerCounterexample
141
+
142
+ end
143
+
144
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ChannelFrameLaws.lean CHANGED
@@ -1,186 +1,186 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SumRankBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Channel Frame Laws -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Submodule Finset Function
10
- open scoped BigOperators
11
-
12
- variable {A B : Type} [Fintype A] [Fintype B]
13
-
14
- theorem map_pair_law {C D : Type} [Fintype C] [Fintype D]
15
- (w : Wgt A) (v : Wgt B) (f : A→C) (g : B→D) :
16
- mapW (pairW w v) (Prod.map f g)=pairW (mapW w f) (mapW v g) := by
17
- funext x
18
- unfold mapW pairW
19
- simp only [Prod.ext_iff]
20
- exact pairW_pr w v (fun y => f y=x.1) (fun y => g y=x.2)
21
-
22
- theorem mapW_nested {C : Type} (w : Wgt A) (f : A→B) (g : B→C) :
23
- mapW (mapW w f) g=mapW w (g ∘ f) :=
24
- funext fun _ => mapW_pr _ _ _
25
-
26
- omit [Fintype B] in
27
- theorem mapW_repeat {I : Type} [Fintype I] [DecidableEq I]
28
- (w : I→ Wgt A) (f : I→ A→B) :
29
- mapW (prodW w) (fun x i => f i (x i))=prodW (fun i => mapW (w i) (f i)) := by
30
- funext x
31
- unfold mapW
32
- simp_rw [funext_iff]
33
- exact prodW_pr _ (fun i y => f i y=x i)
34
-
35
- omit [Fintype B] in
36
- theorem mapW_pr_eq (e : A≃A) (f : A→B) (u : B≃B) (h : ∀ x,f (e x)=u (f x))
37
- (w : Wgt A) (hw : ∀ x, w (e x)=w x) (x : B) : mapW w f (u x)=mapW w f x := by
38
- have he := avg_bij e w (fun y => ind (f y=u x))
39
- simp_rw [hw,h,u.injective.eq_iff] at he
40
- exact he.symm
41
-
42
- private theorem pmax_test {x : A} (p : A → Prop) {w : Wgt A} (hw : SubLaw w)
43
- (h : ∀ y, p y → w y=w x) {m : ℝ} (hm : 0 < m)
44
- (hp : m ≤ pr unif p) [Nonempty A] :
45
- w x ≤ m⁻¹ * unif x := by
46
- have hh : pr w p=w x*nbr p := by
47
- simp only [pr,avg,nbr,tot,Finset.mul_sum]
48
- refine Finset.sum_congr rfl fun i _ => ?_
49
- by_cases he : p i
50
- · rw [h i he]
51
- rw [ind_zero he,mul_zero,mul_zero]
52
- have h1 := (pr_le_tot (p:=p) hw.nz).trans hw.total
53
- rw [hh] at h1
54
- have hU : 0 < (Fintype.card A : ℝ) := by exact_mod_cast Fintype.card_pos
55
- rw [pr_unif (A:=A)] at hp
56
- have hi := (le_div_iff₀ hU).mp hp
57
- rw [unif_apply]
58
- field_simp
59
- nlinarith only [h1,hi,mul_le_mul_of_nonneg_left hi (hw.nz x)]
60
-
61
- theorem gram_norm_quarter {I J L : Type} [Fintype I] [Fintype J] [Fintype L]
62
- [DecidableEq I] [DecidableEq J] [DecidableEq L] (G : Mat I J)
63
- (h : num I + num J-num L ≤ -1) :
64
- bp (-num I * num J)/4 ≤ pr unif (gramGood (U:=L) G) := by
65
- have hn := (gram_norm G (by linarith : num I+num J≤num L)).2
66
- rw [pair_unif]
67
- refine le_trans ?_ hn
68
- have he {x : ℝ} (hx : x ≤ -1) : (1/2 : ℝ)≤ 1-bp x := by
69
- have ht := bp_le hx
70
- rw [bp_neg,bp_one] at ht
71
- linarith only [ht]
72
- let d := bp (-num I*num J)
73
- change d/4 ≤ d* _ * _
74
- have hk : 0 < d := bp_pos _
75
- have h1 := he (x:= num I-num L) (by
76
- have hg : 0≤num J := Nat.cast_nonneg _
77
- linarith)
78
- calc d/4 = d*(1/2)*(1/2) := by ring
79
- _ ≤ _ := mul_le_mul (mul_le_mul_of_nonneg_left h1 hk.le) (he h) (by norm_num)
80
- (mul_nonneg hk.le (le_trans (by norm_num) h1))
81
-
82
- variable {I J U : Type} [Fintype I] [Fintype J] [Fintype U]
83
- variable [DecidableEq I] [DecidableEq J] [DecidableEq U]
84
-
85
- theorem gramObsCap {C : Mat (I⊕J) (I⊕J) → Prop}
86
- (hc : ∃ x : Mat U (I⊕J) × _, FramesAt C x)
87
- (T : Mat (I⊕J) J) (ht : Function.Injective T.mulVec)
88
- (hN : 2*num J-num U≤ -1) :
89
- let w := unifOn (FramesAt C)
90
- ∀ x : Mat U J × Mat U J,
91
- mapW w (observe T T) x ≤ (4*bp (num J*num J))*pairW unif unif x := by
92
- classical
93
- let w := unifOn (FramesAt (U:=U) C)
94
- have hw := unifOn_law hc
95
- let f := observe T T (U:=U)
96
- let v := mapW w f
97
- have hv : IsLaw v := mapW_law hw f
98
- have hg :
99
- carried v (fun x : Mat U J × _ => Injective x.1.mulVec ∧ Injective x.2.mulVec) := by
100
- refine mapW_carried (unifOn_carried _) (fun x hx => ?_)
101
- exact ⟨inj_comp_mat _ _ hx.2.1 ht,inj_comp_mat _ _ hx.2.2 ht⟩
102
- dsimp only
103
- intro x
104
- rw [← pair_unif]
105
- by_cases h : v x≠0
106
- · let G := (x.1ᵀ*x.2 : Mat J J)
107
- have hx : gramGood G x := ⟨rfl,Classical.byContradiction fun he => h (hg x he)⟩
108
- let m := bp (-num J*num J)/4
109
- have he (y : Mat U J × Mat U J) (hy : gramGood G y) : v y=v x := by
110
- obtain ⟨L,hL⟩ := move_exists G x y hx hy
111
- let e := L.perm (I⊕J) (I⊕J)
112
- have hl (y) : f (e y)=(L.perm J J) (f y) :=
113
- Prod.ext (Matrix.mul_assoc ..) (Matrix.mul_assoc ..)
114
- have hp y : w (e y)=w y := by
115
- unfold w; rw [unifOn_val, unifOn_val]
116
- congr 2
117
- exact propext (L.invar C y).symm
118
- exact hL ▸ mapW_pr_eq e f (L.perm J J) hl w hp x
119
- have hi := pmax_test (gramGood (U:=U) G) hv.sub he (m:=m)
120
- (div_pos (bp_pos _) (by norm_num)) (gram_norm_quarter G (by linarith only [hN]))
121
- apply hi.trans
122
- unfold m; rw [neg_mul,bp_neg]; field_simp
123
- exact le_rfl
124
- · change v x ≤ _
125
- rw [not_ne_iff.mp h]
126
- exact mul_nonneg (mul_nonneg (by norm_num) (bp_pos _).le) (unif_subLaw.nz _)
127
-
128
- variable {p : Shape} {n N : ℕ}
129
- abbrev HMat (p : Shape) (N : ℕ) := Mat (Fin N) (Chan p)
130
- abbrev HFrame (p : Shape) (N : ℕ) := HMat p N × HMat p N
131
- abbrev HCube (p : Shape) (N : ℕ) := Comp p.g → HFrame p N
132
-
133
- def hchan (p : Shape) {n N} (x : Oframe p n N) : HFrame p N :=
134
- (channel x.1,channel x.2)
135
- def hcube (p : Shape) {n N} (x : Orient p n N) : HCube p N := fun z => hchan p (x z)
136
- def lawH (p : Shape) (N : ℕ) : Wgt (HCube p N) :=
137
- prodW (fun (_ : Comp p.g) => pairW unif unif)
138
-
139
- def intoChan (p : Shape) (n) : Mat (Full p n) (Chan p) := embedMat (.inr ·)
140
-
141
- theorem intoChan_inj : Injective (intoChan p n).mulVec :=
142
- embedMat_inj Sum.inr_injective
143
- theorem intoChan_val (p : Shape) {n N} (x : Mat (Fin N) (Full p n)) :
144
- x * intoChan p n=channel x := by rw [intoChan,mul_embedMat]; rfl
145
- theorem hchan_val (p : Shape) {n N} :
146
- hchan p (n:=n) (N:=N) = observe (intoChan p n) (intoChan p n) := by
147
- funext x
148
- exact Prod.ext (intoChan_val ..).symm (intoChan_val ..).symm
149
-
150
- def chanPrice (p : Shape) : ℝ :=
151
- (4*bp ((p.h:ℝ)*p.h))^(Fintype.card (Comp p.g))
152
-
153
- theorem hchan_cap (m : Mixer p n) (hN : 2*num (Full p n)-N≤ -1) :
154
- let w := unifOn (FramesAt (U:=Fin N) (gramCond m))
155
- ∀ x : HFrame p N,mapW w (hchan p) x≤(4*bp ((p.h:ℝ)*p.h))*pairW unif unif x := by
156
- classical
157
- have he : 2*num (Full p n)-num (Fin N)≤ -1 := by simpa [num] using hN
158
- have hh : ∃ x : Oframe p n N, FramesAt (gramCond m) x :=
159
- framesAt_exists (gramCond_exists m) (by linarith only [he])
160
- rw [hchan_val]
161
- have hr : num (Chan p) ≤ num (Full p n) := by
162
- have hf : Fintype.card (Row p n) + Fintype.card (Chan p)=Fintype.card (Full p n) :=
163
- (Fintype.card_sum ..).symm
164
- exact_mod_cast (show Fintype.card (Chan p)≤Fintype.card (Full p n) by omega)
165
- have hk := gramObsCap hh (intoChan p n) intoChan_inj (by linarith only [he,hr])
166
- rw [show num (Chan p)=(p.h:ℝ) from (by simp [num,Chan])] at hk
167
- exact hk
168
-
169
- theorem hcube_cap (m : Mixer p n) (hN : 2*num (Full p n)-N≤ -1)
170
- (x : HCube p N) : mapW (raw m N) (hcube p) x ≤ chanPrice p*lawH p N x := by
171
- let w := unifOn (FramesAt (U:=Fin N) (gramCond m))
172
- have hh i := hchan_cap m hN (x i)
173
- change mapW (prodW (fun (_ : Comp p.g) => w)) _ x ≤ _
174
- unfold hcube
175
- rw [mapW_repeat (w:=fun (_:Comp p.g) => w) (f:=fun i => hchan p (n:=n) (N:=N))]
176
- refine le_trans (Finset.prod_le_prod₀ ?_ fun i _ => hh i) ?_
177
- · intro i _
178
- exact pr_nonneg (unifOn_sub _).nz
179
- rw [Finset.prod_mul_distrib]
180
- simp [chanPrice,lawH,prodW]
181
-
182
- end HadwigerCounterexample
183
-
184
- end
185
-
186
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SumRankBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Channel Frame Laws -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Submodule Finset Function
10
+ open scoped BigOperators
11
+
12
+ variable {A B : Type} [Fintype A] [Fintype B]
13
+
14
+ theorem map_pair_law {C D : Type} [Fintype C] [Fintype D]
15
+ (w : Wgt A) (v : Wgt B) (f : A→C) (g : B→D) :
16
+ mapW (pairW w v) (Prod.map f g)=pairW (mapW w f) (mapW v g) := by
17
+ funext x
18
+ unfold mapW pairW
19
+ simp only [Prod.ext_iff]
20
+ exact pairW_pr w v (fun y => f y=x.1) (fun y => g y=x.2)
21
+
22
+ theorem mapW_nested {C : Type} (w : Wgt A) (f : A→B) (g : B→C) :
23
+ mapW (mapW w f) g=mapW w (g ∘ f) :=
24
+ funext fun _ => mapW_pr _ _ _
25
+
26
+ omit [Fintype B] in
27
+ theorem mapW_repeat {I : Type} [Fintype I] [DecidableEq I]
28
+ (w : I→ Wgt A) (f : I→ A→B) :
29
+ mapW (prodW w) (fun x i => f i (x i))=prodW (fun i => mapW (w i) (f i)) := by
30
+ funext x
31
+ unfold mapW
32
+ simp_rw [funext_iff]
33
+ exact prodW_pr _ (fun i y => f i y=x i)
34
+
35
+ omit [Fintype B] in
36
+ theorem mapW_pr_eq (e : A≃A) (f : A→B) (u : B≃B) (h : ∀ x,f (e x)=u (f x))
37
+ (w : Wgt A) (hw : ∀ x, w (e x)=w x) (x : B) : mapW w f (u x)=mapW w f x := by
38
+ have he := avg_bij e w (fun y => ind (f y=u x))
39
+ simp_rw [hw,h,u.injective.eq_iff] at he
40
+ exact he.symm
41
+
42
+ private theorem pmax_test {x : A} (p : A → Prop) {w : Wgt A} (hw : SubLaw w)
43
+ (h : ∀ y, p y → w y=w x) {m : ℝ} (hm : 0 < m)
44
+ (hp : m ≤ pr unif p) [Nonempty A] :
45
+ w x ≤ m⁻¹ * unif x := by
46
+ have hh : pr w p=w x*nbr p := by
47
+ simp only [pr,avg,nbr,tot,Finset.mul_sum]
48
+ refine Finset.sum_congr rfl fun i _ => ?_
49
+ by_cases he : p i
50
+ · rw [h i he]
51
+ rw [ind_zero he,mul_zero,mul_zero]
52
+ have h1 := (pr_le_tot (p:=p) hw.nz).trans hw.total
53
+ rw [hh] at h1
54
+ have hU : 0 < (Fintype.card A : ℝ) := by exact_mod_cast Fintype.card_pos
55
+ rw [pr_unif (A:=A)] at hp
56
+ have hi := (le_div_iff₀ hU).mp hp
57
+ rw [unif_apply]
58
+ field_simp
59
+ nlinarith only [h1,hi,mul_le_mul_of_nonneg_left hi (hw.nz x)]
60
+
61
+ theorem gram_norm_quarter {I J L : Type} [Fintype I] [Fintype J] [Fintype L]
62
+ [DecidableEq I] [DecidableEq J] [DecidableEq L] (G : Mat I J)
63
+ (h : num I + num J-num L ≤ -1) :
64
+ bp (-num I * num J)/4 ≤ pr unif (gramGood (U:=L) G) := by
65
+ have hn := (gram_norm G (by linarith : num I+num J≤num L)).2
66
+ rw [pair_unif]
67
+ refine le_trans ?_ hn
68
+ have he {x : ℝ} (hx : x ≤ -1) : (1/2 : ℝ)≤ 1-bp x := by
69
+ have ht := bp_le hx
70
+ rw [bp_neg,bp_one] at ht
71
+ linarith only [ht]
72
+ let d := bp (-num I*num J)
73
+ change d/4 ≤ d* _ * _
74
+ have hk : 0 < d := bp_pos _
75
+ have h1 := he (x:= num I-num L) (by
76
+ have hg : 0≤num J := Nat.cast_nonneg _
77
+ linarith)
78
+ calc d/4 = d*(1/2)*(1/2) := by ring
79
+ _ ≤ _ := mul_le_mul (mul_le_mul_of_nonneg_left h1 hk.le) (he h) (by norm_num)
80
+ (mul_nonneg hk.le (le_trans (by norm_num) h1))
81
+
82
+ variable {I J U : Type} [Fintype I] [Fintype J] [Fintype U]
83
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq U]
84
+
85
+ theorem gramObsCap {C : Mat (I⊕J) (I⊕J) → Prop}
86
+ (hc : ∃ x : Mat U (I⊕J) × _, FramesAt C x)
87
+ (T : Mat (I⊕J) J) (ht : Function.Injective T.mulVec)
88
+ (hN : 2*num J-num U≤ -1) :
89
+ let w := unifOn (FramesAt C)
90
+ ∀ x : Mat U J × Mat U J,
91
+ mapW w (observe T T) x ≤ (4*bp (num J*num J))*pairW unif unif x := by
92
+ classical
93
+ let w := unifOn (FramesAt (U:=U) C)
94
+ have hw := unifOn_law hc
95
+ let f := observe T T (U:=U)
96
+ let v := mapW w f
97
+ have hv : IsLaw v := mapW_law hw f
98
+ have hg :
99
+ carried v (fun x : Mat U J × _ => Injective x.1.mulVec ∧ Injective x.2.mulVec) := by
100
+ refine mapW_carried (unifOn_carried _) (fun x hx => ?_)
101
+ exact ⟨inj_comp_mat _ _ hx.2.1 ht,inj_comp_mat _ _ hx.2.2 ht⟩
102
+ dsimp only
103
+ intro x
104
+ rw [← pair_unif]
105
+ by_cases h : v x≠0
106
+ · let G := (x.1ᵀ*x.2 : Mat J J)
107
+ have hx : gramGood G x := ⟨rfl,Classical.byContradiction fun he => h (hg x he)⟩
108
+ let m := bp (-num J*num J)/4
109
+ have he (y : Mat U J × Mat U J) (hy : gramGood G y) : v y=v x := by
110
+ obtain ⟨L,hL⟩ := move_exists G x y hx hy
111
+ let e := L.perm (I⊕J) (I⊕J)
112
+ have hl (y) : f (e y)=(L.perm J J) (f y) :=
113
+ Prod.ext (Matrix.mul_assoc ..) (Matrix.mul_assoc ..)
114
+ have hp y : w (e y)=w y := by
115
+ unfold w; rw [unifOn_val, unifOn_val]
116
+ congr 2
117
+ exact propext (L.invar C y).symm
118
+ exact hL ▸ mapW_pr_eq e f (L.perm J J) hl w hp x
119
+ have hi := pmax_test (gramGood (U:=U) G) hv.sub he (m:=m)
120
+ (div_pos (bp_pos _) (by norm_num)) (gram_norm_quarter G (by linarith only [hN]))
121
+ apply hi.trans
122
+ unfold m; rw [neg_mul,bp_neg]; field_simp
123
+ exact le_rfl
124
+ · change v x ≤ _
125
+ rw [not_ne_iff.mp h]
126
+ exact mul_nonneg (mul_nonneg (by norm_num) (bp_pos _).le) (unif_subLaw.nz _)
127
+
128
+ variable {p : Shape} {n N : ℕ}
129
+ abbrev HMat (p : Shape) (N : ℕ) := Mat (Fin N) (Chan p)
130
+ abbrev HFrame (p : Shape) (N : ℕ) := HMat p N × HMat p N
131
+ abbrev HCube (p : Shape) (N : ℕ) := Comp p.g → HFrame p N
132
+
133
+ def hchan (p : Shape) {n N} (x : Oframe p n N) : HFrame p N :=
134
+ (channel x.1,channel x.2)
135
+ def hcube (p : Shape) {n N} (x : Orient p n N) : HCube p N := fun z => hchan p (x z)
136
+ def lawH (p : Shape) (N : ℕ) : Wgt (HCube p N) :=
137
+ prodW (fun (_ : Comp p.g) => pairW unif unif)
138
+
139
+ def intoChan (p : Shape) (n) : Mat (Full p n) (Chan p) := embedMat (.inr ·)
140
+
141
+ theorem intoChan_inj : Injective (intoChan p n).mulVec :=
142
+ embedMat_inj Sum.inr_injective
143
+ theorem intoChan_val (p : Shape) {n N} (x : Mat (Fin N) (Full p n)) :
144
+ x * intoChan p n=channel x := by rw [intoChan,mul_embedMat]; rfl
145
+ theorem hchan_val (p : Shape) {n N} :
146
+ hchan p (n:=n) (N:=N) = observe (intoChan p n) (intoChan p n) := by
147
+ funext x
148
+ exact Prod.ext (intoChan_val ..).symm (intoChan_val ..).symm
149
+
150
+ def chanPrice (p : Shape) : ℝ :=
151
+ (4*bp ((p.h:ℝ)*p.h))^(Fintype.card (Comp p.g))
152
+
153
+ theorem hchan_cap (m : Mixer p n) (hN : 2*num (Full p n)-N≤ -1) :
154
+ let w := unifOn (FramesAt (U:=Fin N) (gramCond m))
155
+ ∀ x : HFrame p N,mapW w (hchan p) x≤(4*bp ((p.h:ℝ)*p.h))*pairW unif unif x := by
156
+ classical
157
+ have he : 2*num (Full p n)-num (Fin N)≤ -1 := by simpa [num] using hN
158
+ have hh : ∃ x : Oframe p n N, FramesAt (gramCond m) x :=
159
+ framesAt_exists (gramCond_exists m) (by linarith only [he])
160
+ rw [hchan_val]
161
+ have hr : num (Chan p) ≤ num (Full p n) := by
162
+ have hf : Fintype.card (Row p n) + Fintype.card (Chan p)=Fintype.card (Full p n) :=
163
+ (Fintype.card_sum ..).symm
164
+ exact_mod_cast (show Fintype.card (Chan p)≤Fintype.card (Full p n) by omega)
165
+ have hk := gramObsCap hh (intoChan p n) intoChan_inj (by linarith only [he,hr])
166
+ rw [show num (Chan p)=(p.h:ℝ) from (by simp [num,Chan])] at hk
167
+ exact hk
168
+
169
+ theorem hcube_cap (m : Mixer p n) (hN : 2*num (Full p n)-N≤ -1)
170
+ (x : HCube p N) : mapW (raw m N) (hcube p) x ≤ chanPrice p*lawH p N x := by
171
+ let w := unifOn (FramesAt (U:=Fin N) (gramCond m))
172
+ have hh i := hchan_cap m hN (x i)
173
+ change mapW (prodW (fun (_ : Comp p.g) => w)) _ x ≤ _
174
+ unfold hcube
175
+ rw [mapW_repeat (w:=fun (_:Comp p.g) => w) (f:=fun i => hchan p (n:=n) (N:=N))]
176
+ refine le_trans (Finset.prod_le_prod₀ ?_ fun i _ => hh i) ?_
177
+ · intro i _
178
+ exact pr_nonneg (unifOn_sub _).nz
179
+ rw [Finset.prod_mul_distrib]
180
+ simp [chanPrice,lawH,prodW]
181
+
182
+ end HadwigerCounterexample
183
+
184
+ end
185
+
186
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CollisionInequality.lean CHANGED
@@ -1,204 +1,204 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.UnaryRecords
2
- import OAI.Combinatorics.HadwigerCounterexample.ConstructionScales
3
-
4
- namespace OAI
5
-
6
- /-! # Collision Inequality -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix Module Finset Filter
11
- open scoped BigOperators
12
- variable {p : Shape} {n N : ℕ}
13
- variable {I A B : Type} [Fintype I] [Fintype A] [Fintype B]
14
-
15
- def density (v w : Wgt I) := fun x => w x/v x
16
- def overlap (v a b : Wgt I) :=
17
- avg v (fun x => density v a x*density v b x)
18
-
19
- theorem overlap_count (P : I→Prop) (p q : Wgt I) (h : ∀ x, 0 ≤ p x) (h' : ∀ x, 0≤ q x) :
20
- overlap (unifOn P) p q ≤ (Fintype.card I:ℝ) * (∑ i, p i*q i) := by
21
- classical
22
- simp only [overlap,density, avg,Finset.mul_sum]
23
- refine Finset.sum_le_sum fun i _ => ?_
24
- have hg := mul_nonneg (h i) (h' i)
25
- have hw : 0 ≤ (↑(Fintype.card I) : ℝ) := Nat.cast_nonneg _
26
- by_cases he : P i
27
- · have hh : 0 < nbr P := by
28
- have hpos : 0 < Fintype.card {x//P x} := Fintype.card_pos_iff.mpr ⟨⟨i,he⟩⟩
29
- rw [nbr_eq_card]; exact_mod_cast hpos
30
- have hd : unifOn P i * (p i/unifOn P i * (q i / unifOn P i))=nbr P*(p i*q i) := by
31
- rw [unifOn_val,ind_one he]
32
- field_simp
33
- rw [hd]
34
- apply mul_le_mul_of_nonneg_right _ hg
35
- rw [nbr_eq_card]
36
- exact_mod_cast Fintype.card_le_of_injective _ (@Subtype.val_injective _ P)
37
- rw [unifOn_carried P i he,zero_mul]
38
- exact mul_nonneg hw hg
39
-
40
- namespace Volley
41
-
42
- /-- law of accepted keys as an unnormalized histogram -/
43
- def hist (v : A → Volley p n I) (t : Tagging p I)
44
- (μ : Wgt (UnitType p n N)) (rho' : Wgt A) (U : A → UnitType p n N → Prop) :
45
- Wgt (Keys (p:=p) t N) :=
46
- fun u => avg rho' (fun a => pr μ (fun x => U a x ∧ (v a).keys t x=u))
47
-
48
- set_option maxHeartbeats 800000 in
49
- private theorem record_sum (v w : Volley p n I) {t : Tagging p I} (m : Mixer p n)
50
- {a b : Pin p n N} {μ δ : Wgt (UnitType p n N)}
51
- (U V : UnitType p n N → Prop)
52
- (ha : ∀ x, U x → a.agree x ∧ (∀ i,frameLaw m (onSide x i)))
53
- (hb : ∀ x, V x → b.agree x ∧ (∀ i,frameLaw m (onSide x i)))
54
- {ζ : ℝ} {q : ℕ}
55
- (h : ∀ x,U x → ∀ y,V y → v.keys t x=w.keys t y → v.promised w t m a.sp b.sp x y)
56
- (hv : v.avoids a.sp q) (hw : w.avoids b.sp q)
57
- (hz : ζ ≤ 0.004) (hK : ζ*(kslots p I) ≤ 0.004)
58
- (hμ : SubLaw μ) (hδ : SubLaw δ)
59
- (hA : a.clear ζ μ) (hB : b.clear ζ δ)
60
- (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ) ≤ 0.01*N)
61
- (L : ℝ)
62
- (hLf : bp (dim (Ledger (v.frozen a.sp t))) ≤ L)
63
- (hLg : bp (dim (Ledger (w.frozen b.sp t))) ≤ L) :
64
- hit N *
65
- (∑ u : Keys (p:=p) t N, pr μ (fun x => U x ∧ v.keys t x=u) *
66
- pr δ (fun x => V x ∧ w.keys t x=u)) ≤
67
- pr (pairW μ δ) (fun x => (rawHoles m).conflict x.1 x.2)+
68
- 2*(hit N*tau N (kslots p I)*L) := by
69
- classical
70
- let X := UnitType p n N
71
- let T := Keys (p:=p) t N
72
- let K (u : T) (x : X) := U x ∧ v.keys t x=u
73
- let K' (u : T) (x : X) := V x ∧ w.keys t x=u
74
- let H := hit N*tau N (kslots p I)*L
75
- let P := pairW μ δ
76
- let C (x : X × X) := (rawHoles m).conflict x.1 x.2
77
- let G (u : T) (x : X × X) := K u x.1 ∧ K' u x.2 ∧ C x
78
- rw [Finset.mul_sum]
79
- have hh (i : Keys (p:=p) t N) :
80
- hit N * (pr μ (K i) * pr δ (K' i))≤ pr P (G i)+H*(pr μ (K i)+pr δ (K' i)) := by
81
- apply record_hit v w m (K i) (K' i) i _ _ _ hv hw hz hK hμ hδ hA hB hN hT L hLf hLg
82
- · exact fun x h => ⟨(ha x h.1).1,(ha x h.1).2,h.2⟩
83
- · exact fun x h => ⟨(hb x h.1).1,(hb x h.1).2,h.2⟩
84
- exact fun x hx y hy => h x hx.1 y hy.1 (hx.2.trans hy.2.symm)
85
- refine (Finset.sum_le_sum fun i _ => hh i).trans ?_
86
- rw [Finset.sum_add_distrib]
87
- have hi : (∑ i : Keys (p:=p) t N, pr P (G i)) ≤ pr P C := by
88
- rw [← sum_pr_tag P C (v.keys t ∘ Prod.fst)]
89
- exact Finset.sum_le_sum fun i _ => pr_mono (subLaw_pair hμ hδ).nz (fun x h => ⟨h.2.2,h.1.2⟩)
90
- refine add_le_add hi ?_
91
- have hU : (∑ i : Keys (p:=p) t N, pr μ (K i))≤1 :=
92
- (sum_pr_tag μ U (v.keys t)).trans_le ((pr_le_tot hμ.nz).trans hμ.total)
93
- have hV : (∑ i : Keys (p:=p) t N, pr δ (K' i))≤1 :=
94
- (sum_pr_tag δ V (w.keys t)).trans_le ((pr_le_tot hδ.nz).trans hδ.total)
95
- have hz : 0 ≤ H := mul_nonneg (mul_nonneg (bp_pos _).le (bp_pos _).le) ((bp_pos _).le.trans hLf)
96
- rw [← Finset.mul_sum,Finset.sum_add_distrib,mul_comm 2]
97
- exact mul_le_mul_of_nonneg_left (by linarith only [hU,hV]) hz
98
-
99
- set_option maxHeartbeats 1200000 in
100
- theorem collision (v : A→Volley p n I) (w : B→Volley p n I)
101
- {t : Tagging p I} (m : Mixer p n)
102
- {a b : Pin p n N} {μ δ : Wgt (UnitType p n N)}
103
- (rhoA : Wgt A) (rhoB : Wgt B)
104
- (U : A → UnitType p n N → Prop) (V : B → UnitType p n N → Prop)
105
- (ha : ∀ i x, U i x → a.agree x ∧ (∀ i,frameLaw m (onSide x i)))
106
- (hb : ∀ i x, V i x → b.agree x ∧ (∀ i,frameLaw m (onSide x i)))
107
- {ζ : ℝ} {q K : ℕ}
108
- (h : ∀ i j x,U i x → ∀ y,V j y → (v i).keys t x=(w j).keys t y →
109
- (v i).promised (w j) t m a.sp b.sp x y)
110
- (hv : ∀ i, (v i).avoids a.sp q) (hw : ∀ i, (w i).avoids b.sp q)
111
- (hκ : planRank a.sp≤K) (hκ' : planRank b.sp≤K)
112
- (hz : ζ ≤ 0.004) (hK : ζ*(kslots p I) ≤ 0.004) (hslots : kslots p I≤kmax p)
113
- (hμ : SubLaw μ) (hδ : SubLaw δ) (hu : SubLaw rhoA) (hu' : SubLaw rhoB)
114
- (hA : a.clear ζ μ) (hB : b.clear ζ δ)
115
- (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ) ≤ 0.01*N)
116
- (hL : (K+(kmax p:ℝ))*num (JointIdx p n) ≤ 0.005*N)
117
- (J : Keys (p:=p) t N → Prop) :
118
- overlap (unifOn J) (hist v t μ rhoA U) (hist w t δ rhoB V) ≤
119
- bp (((kslots p I:ℝ)+0.02)*N)*pr (pairW μ δ) (fun x =>
120
- (rawHoles m).conflict x.1 x.2) + 2*bp (-0.005*N) := by
121
- classical
122
- let k := kslots p I
123
- let L := bp (0.005*N)
124
- let C := fun (x : UnitType p n N × _) => (rawHoles m).conflict x.1 x.2
125
- let X := hist v t μ rhoA U
126
- let Y := hist w t δ rhoB V
127
- let H := hit N*tau N k*L
128
- let D := pr (pairW μ δ) C
129
- let α (u : Keys (p:=p) t N) i := pr μ (fun x => U i x ∧ (v i).keys t x=u)
130
- let β (u : Keys (p:=p) t N) i := pr δ (fun x => V i x ∧ (w i).keys t x=u)
131
- have hX u : 0≤ X u := avg_nonneg hu.nz (fun i => pr_nonneg hμ.nz)
132
- have hY u : 0≤ Y u := avg_nonneg hu'.nz (fun i => pr_nonneg hδ.nz)
133
- have hW (f : Plan p n) (hk : planRank f ≤ K) (v : Volley p n I) (hv : v.avoids f q) :
134
- bp (dim (Ledger (v.frozen f t)))≤L := by
135
- apply bp_le
136
- rw [ledger_dim]
137
- push_cast
138
- have ht : (planRank (v.frozen f t) : ℝ) ≤ K+(kmax p:ℝ) := by
139
- have hh := plan_add_rank f (v.keyPlan t)
140
- rw [key_slots t hv] at hh
141
- exact_mod_cast (show planRank (f⊔v.keyPlan t) ≤ K+kmax p from
142
- hh.symm ▸ add_le_add hk hslots)
143
- exact le_trans (mul_le_mul_of_nonneg_right ht (Nat.cast_nonneg _)) hL
144
- have hf (x : A × B) :
145
- hit N * (∑ u : Keys (p:=p) t N, α u x.1*β u x.2) ≤ D+ 2*H :=
146
- record_sum (v x.1) (w x.2) m (U _) (V _) (ha x.1) (hb x.2) (h x.1 x.2)
147
- (hv x.1) (hw x.2) hz hK hμ hδ hA hB hN hT L (hW a.sp hκ _ (hv _)) (hW _ hκ' _ (hw _))
148
- have hh : hit N * (∑ u : Keys (p:=p) t N,X u * Y u) ≤ D + 2*H := by
149
- let F := pairW rhoA rhoB
150
- have hh' : 0 ≤ D+2*H := by
151
- apply add_nonneg (pr_nonneg (subLaw_pair hμ hδ).nz)
152
- exact mul_nonneg (by norm_num) (mul_nonneg (mul_nonneg (bp_pos _).le (bp_pos _).le)
153
- (bp_pos _).le)
154
- have hl := (subLaw_pair hu hu').avg_le hh' hf
155
- rw [avg_mul',avg_sum] at hl
156
- have ht (u : Keys (p:=p) t N) :
157
- X u*Y u=avg F (fun x : A×B => α u x.1*β u x.2) := (pairW_separate ..).symm
158
- simp_rw [ht]; exact hl
159
- apply (overlap_count J X Y hX hY).trans
160
- rw [card_space,dim_keys,Nat.cast_mul]
161
- let Z := bp (((k:ℝ)+0.02)*N)
162
- have he : Z*hit N = bp ((k:ℝ)*N) := by
163
- unfold Z hit; rw [← bp_add]; congr 1; ring
164
- have he' : Z*H = bp (-0.005*N) := by
165
- unfold H; rw [← mul_assoc,← mul_assoc,he]
166
- unfold L tau
167
- rw [← bp_add,← bp_add]; congr 1; ring
168
- change bp ((k:ℝ)*N)*_≤ Z*D+_
169
- rw [← he, mul_assoc,← he']
170
- refine (mul_le_mul_of_nonneg_left hh (bp_pos _).le).trans_eq ?_
171
- ring
172
- end Volley
173
-
174
- theorem collision_scales (p : Shape) (K : ℕ) :
175
- ∀ᶠ M : ℕ in atTop,∀ᶠ n : ℕ in atTop, let N := M*n;
176
- 100≤N ∧ (dim (CheckGram p n):ℝ) ≤ 0.01*N ∧
177
- (K+(kmax p:ℝ))*num (JointIdx p n) ≤ 0.005*N := by
178
- filter_upwards [columns_budget p (δ:=0.01) (by norm_num)
179
- (16*(ncComp p:ℝ)*p.h) 0 (by positivity) (by norm_num),
180
- columns_budget p (δ:=0.005) (by norm_num)
181
- (2*(K+(kmax p:ℝ))) 0 (by positivity) (by norm_num),eventually_ge_atTop 1] with M hM hB hg
182
- filter_upwards [eventually_ge_atTop 100] with n hn
183
- specialize hM n (by omega)
184
- specialize hB n (by omega)
185
- have hN : 100 ≤ M*n := by nlinarith
186
- refine ⟨hN,?_,?_⟩
187
- · rw [checkgram_dim]
188
- simp only [Nat.cast_mul,Nat.cast_ofNat]; unfold num at hM
189
- have hi : (↑(Fintype.card (Row p n)):ℝ)≤Fintype.card (Full p n) := by
190
- have he : Fintype.card (Full p n)=_+_ := Fintype.card_sum ..
191
- exact_mod_cast (show Fintype.card (Row p n)≤Fintype.card (Full p n) from he.symm ▸
192
- Nat.le_add_right ..)
193
- rw [add_zero] at hM
194
- rw [Nat.cast_mul] at hM
195
- exact le_trans (mul_le_mul_of_nonneg_left hi (by positivity)) hM
196
- rw [show num (JointIdx p n) = 2*num (Full p n) from (by
197
- unfold num JointIdx; rw [Fintype.card_sum]; push_cast; ring)]
198
- linarith only [hB]
199
-
200
- end HadwigerCounterexample
201
-
202
- end
203
-
204
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.UnaryRecords
2
+ import OAI.Combinatorics.HadwigerCounterexample.ConstructionScales
3
+
4
+ namespace OAI
5
+
6
+ /-! # Collision Inequality -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix Module Finset Filter
11
+ open scoped BigOperators
12
+ variable {p : Shape} {n N : ℕ}
13
+ variable {I A B : Type} [Fintype I] [Fintype A] [Fintype B]
14
+
15
+ def density (v w : Wgt I) := fun x => w x/v x
16
+ def overlap (v a b : Wgt I) :=
17
+ avg v (fun x => density v a x*density v b x)
18
+
19
+ theorem overlap_count (P : I→Prop) (p q : Wgt I) (h : ∀ x, 0 ≤ p x) (h' : ∀ x, 0≤ q x) :
20
+ overlap (unifOn P) p q ≤ (Fintype.card I:ℝ) * (∑ i, p i*q i) := by
21
+ classical
22
+ simp only [overlap,density, avg,Finset.mul_sum]
23
+ refine Finset.sum_le_sum fun i _ => ?_
24
+ have hg := mul_nonneg (h i) (h' i)
25
+ have hw : 0 ≤ (↑(Fintype.card I) : ℝ) := Nat.cast_nonneg _
26
+ by_cases he : P i
27
+ · have hh : 0 < nbr P := by
28
+ have hpos : 0 < Fintype.card {x//P x} := Fintype.card_pos_iff.mpr ⟨⟨i,he⟩⟩
29
+ rw [nbr_eq_card]; exact_mod_cast hpos
30
+ have hd : unifOn P i * (p i/unifOn P i * (q i / unifOn P i))=nbr P*(p i*q i) := by
31
+ rw [unifOn_val,ind_one he]
32
+ field_simp
33
+ rw [hd]
34
+ apply mul_le_mul_of_nonneg_right _ hg
35
+ rw [nbr_eq_card]
36
+ exact_mod_cast Fintype.card_le_of_injective _ (@Subtype.val_injective _ P)
37
+ rw [unifOn_carried P i he,zero_mul]
38
+ exact mul_nonneg hw hg
39
+
40
+ namespace Volley
41
+
42
+ /-- law of accepted keys as an unnormalized histogram -/
43
+ def hist (v : A → Volley p n I) (t : Tagging p I)
44
+ (μ : Wgt (UnitType p n N)) (rho' : Wgt A) (U : A → UnitType p n N → Prop) :
45
+ Wgt (Keys (p:=p) t N) :=
46
+ fun u => avg rho' (fun a => pr μ (fun x => U a x ∧ (v a).keys t x=u))
47
+
48
+ set_option maxHeartbeats 800000 in
49
+ private theorem record_sum (v w : Volley p n I) {t : Tagging p I} (m : Mixer p n)
50
+ {a b : Pin p n N} {μ δ : Wgt (UnitType p n N)}
51
+ (U V : UnitType p n N → Prop)
52
+ (ha : ∀ x, U x → a.agree x ∧ (∀ i,frameLaw m (onSide x i)))
53
+ (hb : ∀ x, V x → b.agree x ∧ (∀ i,frameLaw m (onSide x i)))
54
+ {ζ : ℝ} {q : ℕ}
55
+ (h : ∀ x,U x → ∀ y,V y → v.keys t x=w.keys t y → v.promised w t m a.sp b.sp x y)
56
+ (hv : v.avoids a.sp q) (hw : w.avoids b.sp q)
57
+ (hz : ζ ≤ 0.004) (hK : ζ*(kslots p I) ≤ 0.004)
58
+ (hμ : SubLaw μ) (hδ : SubLaw δ)
59
+ (hA : a.clear ζ μ) (hB : b.clear ζ δ)
60
+ (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ) ≤ 0.01*N)
61
+ (L : ℝ)
62
+ (hLf : bp (dim (Ledger (v.frozen a.sp t))) ≤ L)
63
+ (hLg : bp (dim (Ledger (w.frozen b.sp t))) ≤ L) :
64
+ hit N *
65
+ (∑ u : Keys (p:=p) t N, pr μ (fun x => U x ∧ v.keys t x=u) *
66
+ pr δ (fun x => V x ∧ w.keys t x=u)) ≤
67
+ pr (pairW μ δ) (fun x => (rawHoles m).conflict x.1 x.2)+
68
+ 2*(hit N*tau N (kslots p I)*L) := by
69
+ classical
70
+ let X := UnitType p n N
71
+ let T := Keys (p:=p) t N
72
+ let K (u : T) (x : X) := U x ∧ v.keys t x=u
73
+ let K' (u : T) (x : X) := V x ∧ w.keys t x=u
74
+ let H := hit N*tau N (kslots p I)*L
75
+ let P := pairW μ δ
76
+ let C (x : X × X) := (rawHoles m).conflict x.1 x.2
77
+ let G (u : T) (x : X × X) := K u x.1 ∧ K' u x.2 ∧ C x
78
+ rw [Finset.mul_sum]
79
+ have hh (i : Keys (p:=p) t N) :
80
+ hit N * (pr μ (K i) * pr δ (K' i))≤ pr P (G i)+H*(pr μ (K i)+pr δ (K' i)) := by
81
+ apply record_hit v w m (K i) (K' i) i _ _ _ hv hw hz hK hμ hδ hA hB hN hT L hLf hLg
82
+ · exact fun x h => ⟨(ha x h.1).1,(ha x h.1).2,h.2⟩
83
+ · exact fun x h => ⟨(hb x h.1).1,(hb x h.1).2,h.2⟩
84
+ exact fun x hx y hy => h x hx.1 y hy.1 (hx.2.trans hy.2.symm)
85
+ refine (Finset.sum_le_sum fun i _ => hh i).trans ?_
86
+ rw [Finset.sum_add_distrib]
87
+ have hi : (∑ i : Keys (p:=p) t N, pr P (G i)) ≤ pr P C := by
88
+ rw [← sum_pr_tag P C (v.keys t ∘ Prod.fst)]
89
+ exact Finset.sum_le_sum fun i _ => pr_mono (subLaw_pair hμ hδ).nz (fun x h => ⟨h.2.2,h.1.2⟩)
90
+ refine add_le_add hi ?_
91
+ have hU : (∑ i : Keys (p:=p) t N, pr μ (K i))≤1 :=
92
+ (sum_pr_tag μ U (v.keys t)).trans_le ((pr_le_tot hμ.nz).trans hμ.total)
93
+ have hV : (∑ i : Keys (p:=p) t N, pr δ (K' i))≤1 :=
94
+ (sum_pr_tag δ V (w.keys t)).trans_le ((pr_le_tot hδ.nz).trans hδ.total)
95
+ have hz : 0 ≤ H := mul_nonneg (mul_nonneg (bp_pos _).le (bp_pos _).le) ((bp_pos _).le.trans hLf)
96
+ rw [← Finset.mul_sum,Finset.sum_add_distrib,mul_comm 2]
97
+ exact mul_le_mul_of_nonneg_left (by linarith only [hU,hV]) hz
98
+
99
+ set_option maxHeartbeats 1200000 in
100
+ theorem collision (v : A→Volley p n I) (w : B→Volley p n I)
101
+ {t : Tagging p I} (m : Mixer p n)
102
+ {a b : Pin p n N} {μ δ : Wgt (UnitType p n N)}
103
+ (rhoA : Wgt A) (rhoB : Wgt B)
104
+ (U : A → UnitType p n N → Prop) (V : B → UnitType p n N → Prop)
105
+ (ha : ∀ i x, U i x → a.agree x ∧ (∀ i,frameLaw m (onSide x i)))
106
+ (hb : ∀ i x, V i x → b.agree x ∧ (∀ i,frameLaw m (onSide x i)))
107
+ {ζ : ℝ} {q K : ℕ}
108
+ (h : ∀ i j x,U i x → ∀ y,V j y → (v i).keys t x=(w j).keys t y →
109
+ (v i).promised (w j) t m a.sp b.sp x y)
110
+ (hv : ∀ i, (v i).avoids a.sp q) (hw : ∀ i, (w i).avoids b.sp q)
111
+ (hκ : planRank a.sp≤K) (hκ' : planRank b.sp≤K)
112
+ (hz : ζ ≤ 0.004) (hK : ζ*(kslots p I) ≤ 0.004) (hslots : kslots p I≤kmax p)
113
+ (hμ : SubLaw μ) (hδ : SubLaw δ) (hu : SubLaw rhoA) (hu' : SubLaw rhoB)
114
+ (hA : a.clear ζ μ) (hB : b.clear ζ δ)
115
+ (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ) ≤ 0.01*N)
116
+ (hL : (K+(kmax p:ℝ))*num (JointIdx p n) ≤ 0.005*N)
117
+ (J : Keys (p:=p) t N → Prop) :
118
+ overlap (unifOn J) (hist v t μ rhoA U) (hist w t δ rhoB V) ≤
119
+ bp (((kslots p I:ℝ)+0.02)*N)*pr (pairW μ δ) (fun x =>
120
+ (rawHoles m).conflict x.1 x.2) + 2*bp (-0.005*N) := by
121
+ classical
122
+ let k := kslots p I
123
+ let L := bp (0.005*N)
124
+ let C := fun (x : UnitType p n N × _) => (rawHoles m).conflict x.1 x.2
125
+ let X := hist v t μ rhoA U
126
+ let Y := hist w t δ rhoB V
127
+ let H := hit N*tau N k*L
128
+ let D := pr (pairW μ δ) C
129
+ let α (u : Keys (p:=p) t N) i := pr μ (fun x => U i x ∧ (v i).keys t x=u)
130
+ let β (u : Keys (p:=p) t N) i := pr δ (fun x => V i x ∧ (w i).keys t x=u)
131
+ have hX u : 0≤ X u := avg_nonneg hu.nz (fun i => pr_nonneg hμ.nz)
132
+ have hY u : 0≤ Y u := avg_nonneg hu'.nz (fun i => pr_nonneg hδ.nz)
133
+ have hW (f : Plan p n) (hk : planRank f ≤ K) (v : Volley p n I) (hv : v.avoids f q) :
134
+ bp (dim (Ledger (v.frozen f t)))≤L := by
135
+ apply bp_le
136
+ rw [ledger_dim]
137
+ push_cast
138
+ have ht : (planRank (v.frozen f t) : ℝ) ≤ K+(kmax p:ℝ) := by
139
+ have hh := plan_add_rank f (v.keyPlan t)
140
+ rw [key_slots t hv] at hh
141
+ exact_mod_cast (show planRank (f⊔v.keyPlan t) ≤ K+kmax p from
142
+ hh.symm ▸ add_le_add hk hslots)
143
+ exact le_trans (mul_le_mul_of_nonneg_right ht (Nat.cast_nonneg _)) hL
144
+ have hf (x : A × B) :
145
+ hit N * (∑ u : Keys (p:=p) t N, α u x.1*β u x.2) ≤ D+ 2*H :=
146
+ record_sum (v x.1) (w x.2) m (U _) (V _) (ha x.1) (hb x.2) (h x.1 x.2)
147
+ (hv x.1) (hw x.2) hz hK hμ hδ hA hB hN hT L (hW a.sp hκ _ (hv _)) (hW _ hκ' _ (hw _))
148
+ have hh : hit N * (∑ u : Keys (p:=p) t N,X u * Y u) ≤ D + 2*H := by
149
+ let F := pairW rhoA rhoB
150
+ have hh' : 0 ≤ D+2*H := by
151
+ apply add_nonneg (pr_nonneg (subLaw_pair hμ hδ).nz)
152
+ exact mul_nonneg (by norm_num) (mul_nonneg (mul_nonneg (bp_pos _).le (bp_pos _).le)
153
+ (bp_pos _).le)
154
+ have hl := (subLaw_pair hu hu').avg_le hh' hf
155
+ rw [avg_mul',avg_sum] at hl
156
+ have ht (u : Keys (p:=p) t N) :
157
+ X u*Y u=avg F (fun x : A×B => α u x.1*β u x.2) := (pairW_separate ..).symm
158
+ simp_rw [ht]; exact hl
159
+ apply (overlap_count J X Y hX hY).trans
160
+ rw [card_space,dim_keys,Nat.cast_mul]
161
+ let Z := bp (((k:ℝ)+0.02)*N)
162
+ have he : Z*hit N = bp ((k:ℝ)*N) := by
163
+ unfold Z hit; rw [← bp_add]; congr 1; ring
164
+ have he' : Z*H = bp (-0.005*N) := by
165
+ unfold H; rw [← mul_assoc,← mul_assoc,he]
166
+ unfold L tau
167
+ rw [← bp_add,← bp_add]; congr 1; ring
168
+ change bp ((k:ℝ)*N)*_≤ Z*D+_
169
+ rw [← he, mul_assoc,← he']
170
+ refine (mul_le_mul_of_nonneg_left hh (bp_pos _).le).trans_eq ?_
171
+ ring
172
+ end Volley
173
+
174
+ theorem collision_scales (p : Shape) (K : ℕ) :
175
+ ∀ᶠ M : ℕ in atTop,∀ᶠ n : ℕ in atTop, let N := M*n;
176
+ 100≤N ∧ (dim (CheckGram p n):ℝ) ≤ 0.01*N ∧
177
+ (K+(kmax p:ℝ))*num (JointIdx p n) ≤ 0.005*N := by
178
+ filter_upwards [columns_budget p (δ:=0.01) (by norm_num)
179
+ (16*(ncComp p:ℝ)*p.h) 0 (by positivity) (by norm_num),
180
+ columns_budget p (δ:=0.005) (by norm_num)
181
+ (2*(K+(kmax p:ℝ))) 0 (by positivity) (by norm_num),eventually_ge_atTop 1] with M hM hB hg
182
+ filter_upwards [eventually_ge_atTop 100] with n hn
183
+ specialize hM n (by omega)
184
+ specialize hB n (by omega)
185
+ have hN : 100 ≤ M*n := by nlinarith
186
+ refine ⟨hN,?_,?_⟩
187
+ · rw [checkgram_dim]
188
+ simp only [Nat.cast_mul,Nat.cast_ofNat]; unfold num at hM
189
+ have hi : (↑(Fintype.card (Row p n)):ℝ)≤Fintype.card (Full p n) := by
190
+ have he : Fintype.card (Full p n)=_+_ := Fintype.card_sum ..
191
+ exact_mod_cast (show Fintype.card (Row p n)≤Fintype.card (Full p n) from he.symm ▸
192
+ Nat.le_add_right ..)
193
+ rw [add_zero] at hM
194
+ rw [Nat.cast_mul] at hM
195
+ exact le_trans (mul_le_mul_of_nonneg_left hi (by positivity)) hM
196
+ rw [show num (JointIdx p n) = 2*num (Full p n) from (by
197
+ unfold num JointIdx; rw [Fintype.card_sum]; push_cast; ring)]
198
+ linarith only [hB]
199
+
200
+ end HadwigerCounterexample
201
+
202
+ end
203
+
204
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CommonPartitionRefinement.lean CHANGED
@@ -1,79 +1,79 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RectangleComparisons
2
-
3
- namespace OAI
4
-
5
- /-! # Common Partition Refinement -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix Function
10
- open scoped BigOperators Topology
11
- variable {p:Shape} {n N K M r : ℕ}
12
-
13
- def refines {r r':ℕ} (Y:Silhouette p N r) (Y':Silhouette p N r') :=
14
- ∀ l q, ∃ f:Fin r→Fin r',∀ x,Y' l q x=f (Y l q x)
15
-
16
- theorem self_refine (Y:Silhouette p N r): refines Y Y :=
17
- fun _ _=> ⟨id,fun _=>rfl⟩
18
- theorem refines_next {r s t:ℕ} {Y:Silhouette p N r} {X:Silhouette p N s}
19
- {Z:Silhouette p N t} (h : refines Y X) (hg : refines X Z) :
20
- refines Y Z := by
21
- intro l q
22
- obtain ⟨f,hf⟩:=h l q; obtain ⟨g,hg⟩:=hg l q
23
- refine ⟨g∘ f,fun x => ?_⟩; rw [hg,hf]; rfl
24
-
25
- variable {A B : Type} [Fintype A] [Fintype B] [DecidableEq A] [DecidableEq B]
26
-
27
- def bouquet (f : A→ℕ) := Fintype.card ((i:A)→ Fin (f i))
28
- def bundleY (f:A→ℕ) (w: (i:A)→ Silhouette p N (f i)) :
29
- Silhouette p N (bouquet f) :=
30
- fun l q x=> Fintype.equivFin ((i:A)→ Fin (f i)) (fun i=> w i l q x)
31
- theorem bundle_refines (f:A→ℕ) (w:(i:A)→ Silhouette p N (f i)) :
32
- ∀ i,refines (bundleY f w) (w i) := by
33
- intro i l q
34
- let e:= Fintype.equivFin ((i:A)→Fin (f i))
35
- exact ⟨fun x=> e.symm x i,fun x=>(congr_fun (e.symm_apply_apply (fun i=> w i l q x)) i).symm⟩
36
-
37
- def duoY {r s} (Y : Silhouette p N r) (X : Silhouette p N s) :
38
- Silhouette p N (r*s) :=
39
- open scoped Classical in fun i q x => finProdFinEquiv (Y i q x,X i q x)
40
- theorem duo_good {r s} (Y : Silhouette p N r) (X : Silhouette p N s) :
41
- refines (duoY Y X) Y ∧ refines (duoY Y X) X := by
42
- let e : Fin r × Fin s ≃ Fin (r*s):=finProdFinEquiv
43
- constructor
44
- · intro i j; exact ⟨fun k=>(e.symm k).1,fun x=> (congrArg Prod.fst
45
- (e.symm_apply_apply (Y i j x,X i j x))).symm⟩
46
- intro i j; exact ⟨fun k=>(e.symm k).2,fun x=> (congrArg Prod.snd
47
- (e.symm_apply_apply (Y i j x,X i j x))).symm⟩
48
-
49
- namespace StatusAnalysis
50
- variable (v : Template p A)
51
-
52
- def paletteSize (A B : Type) [Fintype A] [Fintype B] [DecidableEq A] [DecidableEq B] := Fintype.card (B × A → Bool)
53
- theorem buildPalette (N : ℕ) (q : A → F) (w : B → Template.Paint v N) :
54
- ∃ Y : Silhouette p N (paletteSize A B),∀ i,pigments q Y (w i) := by
55
- classical
56
- let E := Fintype.equivFin (B × A→Bool)
57
- let H (l) (q:F) (x : AtomKey (p:=p) l N) (i:B) (j:A) :=
58
- if h:v.t j=l then decide ((w i).flies j (h ▸ x)) else false
59
- let Y : Silhouette p N (paletteSize A B) :=
60
- fun l q x=> E (fun i=> H l q x i.1 i.2)
61
- refine ⟨Y,fun i j=>⟨fun x=>(E.symm x (i,j)),fun x=>?_⟩⟩
62
- change _ ↔ E.symm (E (fun i => H (v.t j) (q j) x i.1 i.2)) (i,j)=true
63
- rw [Equiv.symm_apply_apply]
64
- unfold H; rw [dite_eq_left rfl]; simp
65
-
66
- omit [Fintype A] [DecidableEq A] in
67
- theorem finerPigment {v : Template p A} {r s:ℕ} (Y : Silhouette p N r)
68
- (Y' : Silhouette p N s) (h : refines Y' Y) {q} (w : Template.Paint v N)
69
- (hh : pigments q Y w) : pigments q Y' w := by
70
- intro i
71
- obtain ⟨g,hg⟩:=hh i; obtain ⟨f,hf⟩:=h (v.t i) (q i)
72
- exact ⟨g∘ f,fun x=> (hg x).trans (by rw [hf]; rfl)⟩
73
-
74
- end StatusAnalysis
75
- end HadwigerCounterexample
76
-
77
- end
78
-
79
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RectangleComparisons
2
+
3
+ namespace OAI
4
+
5
+ /-! # Common Partition Refinement -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix Function
10
+ open scoped BigOperators Topology
11
+ variable {p:Shape} {n N K M r : ℕ}
12
+
13
+ def refines {r r':ℕ} (Y:Silhouette p N r) (Y':Silhouette p N r') :=
14
+ ∀ l q, ∃ f:Fin r→Fin r',∀ x,Y' l q x=f (Y l q x)
15
+
16
+ theorem self_refine (Y:Silhouette p N r): refines Y Y :=
17
+ fun _ _=> ⟨id,fun _=>rfl⟩
18
+ theorem refines_next {r s t:ℕ} {Y:Silhouette p N r} {X:Silhouette p N s}
19
+ {Z:Silhouette p N t} (h : refines Y X) (hg : refines X Z) :
20
+ refines Y Z := by
21
+ intro l q
22
+ obtain ⟨f,hf⟩:=h l q; obtain ⟨g,hg⟩:=hg l q
23
+ refine ⟨g∘ f,fun x => ?_⟩; rw [hg,hf]; rfl
24
+
25
+ variable {A B : Type} [Fintype A] [Fintype B] [DecidableEq A] [DecidableEq B]
26
+
27
+ def bouquet (f : A→ℕ) := Fintype.card ((i:A)→ Fin (f i))
28
+ def bundleY (f:A→ℕ) (w: (i:A)→ Silhouette p N (f i)) :
29
+ Silhouette p N (bouquet f) :=
30
+ fun l q x=> Fintype.equivFin ((i:A)→ Fin (f i)) (fun i=> w i l q x)
31
+ theorem bundle_refines (f:A→ℕ) (w:(i:A)→ Silhouette p N (f i)) :
32
+ ∀ i,refines (bundleY f w) (w i) := by
33
+ intro i l q
34
+ let e:= Fintype.equivFin ((i:A)→Fin (f i))
35
+ exact ⟨fun x=> e.symm x i,fun x=>(congr_fun (e.symm_apply_apply (fun i=> w i l q x)) i).symm⟩
36
+
37
+ def duoY {r s} (Y : Silhouette p N r) (X : Silhouette p N s) :
38
+ Silhouette p N (r*s) :=
39
+ open scoped Classical in fun i q x => finProdFinEquiv (Y i q x,X i q x)
40
+ theorem duo_good {r s} (Y : Silhouette p N r) (X : Silhouette p N s) :
41
+ refines (duoY Y X) Y ∧ refines (duoY Y X) X := by
42
+ let e : Fin r × Fin s ≃ Fin (r*s):=finProdFinEquiv
43
+ constructor
44
+ · intro i j; exact ⟨fun k=>(e.symm k).1,fun x=> (congrArg Prod.fst
45
+ (e.symm_apply_apply (Y i j x,X i j x))).symm⟩
46
+ intro i j; exact ⟨fun k=>(e.symm k).2,fun x=> (congrArg Prod.snd
47
+ (e.symm_apply_apply (Y i j x,X i j x))).symm⟩
48
+
49
+ namespace StatusAnalysis
50
+ variable (v : Template p A)
51
+
52
+ def paletteSize (A B : Type) [Fintype A] [Fintype B] [DecidableEq A] [DecidableEq B] := Fintype.card (B × A → Bool)
53
+ theorem buildPalette (N : ℕ) (q : A → F) (w : B → Template.Paint v N) :
54
+ ∃ Y : Silhouette p N (paletteSize A B),∀ i,pigments q Y (w i) := by
55
+ classical
56
+ let E := Fintype.equivFin (B × A→Bool)
57
+ let H (l) (q:F) (x : AtomKey (p:=p) l N) (i:B) (j:A) :=
58
+ if h:v.t j=l then decide ((w i).flies j (h ▸ x)) else false
59
+ let Y : Silhouette p N (paletteSize A B) :=
60
+ fun l q x=> E (fun i=> H l q x i.1 i.2)
61
+ refine ⟨Y,fun i j=>⟨fun x=>(E.symm x (i,j)),fun x=>?_⟩⟩
62
+ change _ ↔ E.symm (E (fun i => H (v.t j) (q j) x i.1 i.2)) (i,j)=true
63
+ rw [Equiv.symm_apply_apply]
64
+ unfold H; rw [dite_eq_left rfl]; simp
65
+
66
+ omit [Fintype A] [DecidableEq A] in
67
+ theorem finerPigment {v : Template p A} {r s:ℕ} (Y : Silhouette p N r)
68
+ (Y' : Silhouette p N s) (h : refines Y' Y) {q} (w : Template.Paint v N)
69
+ (hh : pigments q Y w) : pigments q Y' w := by
70
+ intro i
71
+ obtain ⟨g,hg⟩:=hh i; obtain ⟨f,hf⟩:=h (v.t i) (q i)
72
+ exact ⟨g∘ f,fun x=> (hg x).trans (by rw [hf]; rfl)⟩
73
+
74
+ end StatusAnalysis
75
+ end HadwigerCounterexample
76
+
77
+ end
78
+
79
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CommonPartitions.lean CHANGED
@@ -1,119 +1,119 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ProjectionError
2
-
3
- namespace OAI
4
-
5
- /-! # Common Partitions -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Module Matrix Filter Function
10
- open scoped BigOperators
11
- variable {A B I J X : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J] [Fintype X]
12
- variable (u : Wgt A) (w : Wgt I) (v : Wgt J)
13
-
14
- set_option maxHeartbeats 800000 in
15
- theorem rollup [Nonempty B] (hw : IsLaw w) (hv : IsLaw v) (hu : IsLaw u)
16
- (f : I×B→Wgt A) (g : J×B→Wgt A) (h k : I×J→ B) (R : ℝ) (hr : 0<R)
17
- (hg : ∀ i x, |g i x|≤R)
18
- (p : A→X) (ε : ℝ) (hx : wanes (pairW w unif) u f p ε) :
19
- avg (pairW w v) (fun i=> |rebate u (f (i.1,h i)) (g (i.2,k i)) p|) ≤
20
- num B ^ 2 * (R*ε) := by
21
- classical
22
- let H (i : I × B) (j : J × B) := |rebate u (f i) (g j) p|
23
- let T := num B
24
- have ht : 0<T := by unfold T num; positivity
25
- have he j :
26
- avg (pairW w (unif : Wgt B)) (fun i=> H i j)≤ R*ε := by
27
- let g' (i:A) := g j i/R
28
- have hh (i) : |g' i|≤1 := by
29
- unfold g'; rw [abs_div,abs_of_pos hr,div_le_one hr]; exact hg _ _
30
- have hz (i) :
31
- H i j=R* |dip u (fun x=> f i x-banner u p (f i) x) g'| := by
32
- unfold H; rw [rebate_calc _ _ _ _ hu.nz]
33
- unfold g' dip; simp_rw [←mul_div_assoc,avg_div]
34
- rw [abs_div,abs_of_pos hr]; field_simp
35
- simp_rw [hz,avg_mul']; exact mul_le_mul_of_nonneg_left (hx g' hh) hr.le
36
- have hh i j :
37
- H (i,h (i,j)) (j,k (i,j))≤ ∑ b : B,∑ c : B,H (i,b) (j,c) :=
38
- (Finset.single_le_sum (f:=fun x=> H (i,h (i,j)) (j,x)) (fun _ _ => abs_nonneg _) (mem_univ (k (i,j)))).trans
39
- (Finset.single_le_sum (f:=fun x => ∑ c:B,H (i,x) (j,c)) (fun _ _=> Finset.sum_nonneg (fun _ _=>abs_nonneg _)) (mem_univ (h (i,j))))
40
- have hi j c :
41
- avg w (fun i=>∑ b : B,H (i,b) (j,c))≤ T*(R*ε) := by
42
- have hg : ∀ i : I,(∑ b:B,H (i,b) (j,c))=T*avg unif (fun b=> H (i,b) (j,c)) := by
43
- intro i; simp only [avg,unif_apply,← Finset.mul_sum]
44
- change _ = T*(T⁻¹ * _)
45
- rw [←mul_assoc,mul_inv_cancel₀ ht.ne',one_mul]
46
- simp_rw [hg,avg_mul']
47
- refine mul_le_mul_of_nonneg_left ?_ ht.le; rw [← pairW_avg w unif (fun p : I×B=>H p (j,c))]
48
- exact he _
49
- change avg (pairW w v) _ ≤ T^2*(R*ε)
50
- rw [pairW_avg,avg_avg]
51
- refine hv.avg_le fun j=> ?_
52
- have hz i : ∑ b:B,∑ c:B,H (i,b) (j,c)=∑ c:B,∑ b:B,H (i,b) (j,c) :=
53
- Finset.sum_comm
54
- apply (avg_mono hw.nz (fun i => (hh i j).trans_eq (hz i))).trans
55
- rw [avg_sum]
56
- exact (Finset.sum_le_sum fun i _=>hi j i).trans_eq (by
57
- simp only [sum_const,nsmul_eq_mul,Finset.card_univ,T,num]; ring)
58
-
59
- set_option maxHeartbeats 1200000 in
60
- theorem global_net (R ε : ℝ) (hr : 0<R) (hε : 0<ε) :
61
- ∃ δ : ℝ,0<δ ∧ ∀ r : ℕ,∃ l : ℕ,∀ (I J A : Type) [Fintype I] [Fintype J] [Fintype A]
62
- (w : Wgt I) (v : Wgt J) (u : Wgt A), IsLaw w→IsLaw v →IsLaw u →
63
- ∀ (P : I→Wgt A→Prop) (Q : J→Wgt A→Prop), (∀ i,roster (P i) r δ) →
64
- (∀ i,roster (Q i) r δ) →
65
- ∃ k : ℕ,k ≤ l∧ ∃ p:A→Fin k,
66
- ∀ f g:I × J→Wgt A,(∀ i,P i.1 (f i)) → (∀ i,Q i.2 (g i)) →
67
- avg (pairW w v) (fun i => |rebate u (mcut R u (f i)) (mcut R u (g i)) p|)≤ ε := by
68
- classical
69
- let δ := ε/(8*R)
70
- have hd : 0<δ := by positivity
71
- refine ⟨δ,hd,fun r=>?_⟩
72
- let B:=Fin (r+1); let t:=num B
73
- have ht : 0<t := by unfold t num; positivity
74
- let c:=ε/(2*(t^2)*R)
75
- have hc : 0<c := by positivity
76
- obtain ⟨l,hl⟩:= erosive R c hr.le hc
77
- refine ⟨l,fun I J A _ _ _ w v u hw hv hu P Q hp hq=>?_⟩
78
- choose s hs h1 using fun i=> roster_clip R u hu hr.le (P i) r δ (hp i)
79
- choose y hy h2 using fun i=> roster_clip R u hu hr.le (Q i) r δ (hq i)
80
- let F : I×B→Wgt A := uncurry s
81
- let G : J×B→Wgt A := uncurry y
82
- obtain ⟨m,hm,p,hP⟩:= hl A (I×B) (pairW w unif) u F (pairW_law hw unif_law) hu (fun i j=> hs _ _ _)
83
- refine ⟨m,hm,p,fun f g hf hg=>?_⟩
84
- let f' (i : I×J):= mcut R u (f i)
85
- let g' (i : I×J):= mcut R u (g i)
86
- choose a hA using fun i:I×J => h1 i.1 (f i) (hf i)
87
- choose b hB using fun i:I×J => h2 i.2 (g i) (hg i)
88
- let H (i:I×J) := |rebate u (F (i.1,a i)) (G (i.2,b i)) p|
89
- let D:=pairW w v; have hD:= pairW_law hw hv
90
- have he := rollup u w v hw hv hu F G a b R hr (fun i j=> hy _ _ _) p c hP
91
- have hb : 0≤2*R := by linarith only [hr]
92
- have hi (i:I×J) : |rebate u (f' i) (g' i) p|≤ H i+(δ*(4*R)) := by
93
- let A' := F (i.1,a i); let B' := G (i.2,b i)
94
- have h1 (j) : |g' i j|≤R := by
95
- rw [abs_of_nonneg ((mcut_range _ _ _ hr.le j).1)]
96
- exact (mcut_range _ _ _ hr.le j).2
97
- have h3 : |rebate u (f' i) (g' i) p - rebate u A' (g' i) p|≤ δ*(2*R) := by
98
- exact (rebate_cost u _ _ A' p hu.nz R hr.le h1).trans (mul_le_mul_of_nonneg_right (hA i) hb)
99
- have h4 : |rebate u A' (g' i) p - rebate u A' B' p|≤δ*(2*R) := by
100
- rw [rebate_sym u A',rebate_sym u A']
101
- exact (rebate_cost u _ _ B' p hu.nz R hr.le (fun i=>hs _ _ _)).trans
102
- (mul_le_mul_of_nonneg_right (hB i) hb)
103
- let U:=rebate u A' B' p
104
- let X:=rebate u (f' i) (g' i) p
105
- have hz:= (abs_sub_le X (rebate u A' (g' i) p) U).trans (add_le_add h3 h4)
106
- calc |X| = |(X-U)+U| := by rw [sub_add_cancel]
107
- _ ≤ _ := ((abs_add_le _ _).trans (add_le_add_left hz _)).trans_eq (by
108
- change _+ |U| = |U|+δ*(4*R)
109
- ring)
110
- refine (avg_mono hD.nz hi).trans ?_
111
- rw [avg_add,hD.avg_const]
112
- exact (add_le_add_left he _).trans_eq (by
113
- change t^2*(R*c)+δ*(4*R)=_
114
- unfold δ c; field_simp; ring)
115
- end HadwigerCounterexample
116
-
117
- end
118
-
119
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ProjectionError
2
+
3
+ namespace OAI
4
+
5
+ /-! # Common Partitions -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Module Matrix Filter Function
10
+ open scoped BigOperators
11
+ variable {A B I J X : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J] [Fintype X]
12
+ variable (u : Wgt A) (w : Wgt I) (v : Wgt J)
13
+
14
+ set_option maxHeartbeats 800000 in
15
+ theorem rollup [Nonempty B] (hw : IsLaw w) (hv : IsLaw v) (hu : IsLaw u)
16
+ (f : I×B→Wgt A) (g : J×B→Wgt A) (h k : I×J→ B) (R : ℝ) (hr : 0<R)
17
+ (hg : ∀ i x, |g i x|≤R)
18
+ (p : A→X) (ε : ℝ) (hx : wanes (pairW w unif) u f p ε) :
19
+ avg (pairW w v) (fun i=> |rebate u (f (i.1,h i)) (g (i.2,k i)) p|) ≤
20
+ num B ^ 2 * (R*ε) := by
21
+ classical
22
+ let H (i : I × B) (j : J × B) := |rebate u (f i) (g j) p|
23
+ let T := num B
24
+ have ht : 0<T := by unfold T num; positivity
25
+ have he j :
26
+ avg (pairW w (unif : Wgt B)) (fun i=> H i j)≤ R*ε := by
27
+ let g' (i:A) := g j i/R
28
+ have hh (i) : |g' i|≤1 := by
29
+ unfold g'; rw [abs_div,abs_of_pos hr,div_le_one hr]; exact hg _ _
30
+ have hz (i) :
31
+ H i j=R* |dip u (fun x=> f i x-banner u p (f i) x) g'| := by
32
+ unfold H; rw [rebate_calc _ _ _ _ hu.nz]
33
+ unfold g' dip; simp_rw [←mul_div_assoc,avg_div]
34
+ rw [abs_div,abs_of_pos hr]; field_simp
35
+ simp_rw [hz,avg_mul']; exact mul_le_mul_of_nonneg_left (hx g' hh) hr.le
36
+ have hh i j :
37
+ H (i,h (i,j)) (j,k (i,j))≤ ∑ b : B,∑ c : B,H (i,b) (j,c) :=
38
+ (Finset.single_le_sum (f:=fun x=> H (i,h (i,j)) (j,x)) (fun _ _ => abs_nonneg _) (mem_univ (k (i,j)))).trans
39
+ (Finset.single_le_sum (f:=fun x => ∑ c:B,H (i,x) (j,c)) (fun _ _=> Finset.sum_nonneg (fun _ _=>abs_nonneg _)) (mem_univ (h (i,j))))
40
+ have hi j c :
41
+ avg w (fun i=>∑ b : B,H (i,b) (j,c))≤ T*(R*ε) := by
42
+ have hg : ∀ i : I,(∑ b:B,H (i,b) (j,c))=T*avg unif (fun b=> H (i,b) (j,c)) := by
43
+ intro i; simp only [avg,unif_apply,← Finset.mul_sum]
44
+ change _ = T*(T⁻¹ * _)
45
+ rw [←mul_assoc,mul_inv_cancel₀ ht.ne',one_mul]
46
+ simp_rw [hg,avg_mul']
47
+ refine mul_le_mul_of_nonneg_left ?_ ht.le; rw [← pairW_avg w unif (fun p : I×B=>H p (j,c))]
48
+ exact he _
49
+ change avg (pairW w v) _ ≤ T^2*(R*ε)
50
+ rw [pairW_avg,avg_avg]
51
+ refine hv.avg_le fun j=> ?_
52
+ have hz i : ∑ b:B,∑ c:B,H (i,b) (j,c)=∑ c:B,∑ b:B,H (i,b) (j,c) :=
53
+ Finset.sum_comm
54
+ apply (avg_mono hw.nz (fun i => (hh i j).trans_eq (hz i))).trans
55
+ rw [avg_sum]
56
+ exact (Finset.sum_le_sum fun i _=>hi j i).trans_eq (by
57
+ simp only [sum_const,nsmul_eq_mul,Finset.card_univ,T,num]; ring)
58
+
59
+ set_option maxHeartbeats 1200000 in
60
+ theorem global_net (R ε : ℝ) (hr : 0<R) (hε : 0<ε) :
61
+ ∃ δ : ℝ,0<δ ∧ ∀ r : ℕ,∃ l : ℕ,∀ (I J A : Type) [Fintype I] [Fintype J] [Fintype A]
62
+ (w : Wgt I) (v : Wgt J) (u : Wgt A), IsLaw w→IsLaw v →IsLaw u →
63
+ ∀ (P : I→Wgt A→Prop) (Q : J→Wgt A→Prop), (∀ i,roster (P i) r δ) →
64
+ (∀ i,roster (Q i) r δ) →
65
+ ∃ k : ℕ,k ≤ l∧ ∃ p:A→Fin k,
66
+ ∀ f g:I × J→Wgt A,(∀ i,P i.1 (f i)) → (∀ i,Q i.2 (g i)) →
67
+ avg (pairW w v) (fun i => |rebate u (mcut R u (f i)) (mcut R u (g i)) p|)≤ ε := by
68
+ classical
69
+ let δ := ε/(8*R)
70
+ have hd : 0<δ := by positivity
71
+ refine ⟨δ,hd,fun r=>?_⟩
72
+ let B:=Fin (r+1); let t:=num B
73
+ have ht : 0<t := by unfold t num; positivity
74
+ let c:=ε/(2*(t^2)*R)
75
+ have hc : 0<c := by positivity
76
+ obtain ⟨l,hl⟩:= erosive R c hr.le hc
77
+ refine ⟨l,fun I J A _ _ _ w v u hw hv hu P Q hp hq=>?_⟩
78
+ choose s hs h1 using fun i=> roster_clip R u hu hr.le (P i) r δ (hp i)
79
+ choose y hy h2 using fun i=> roster_clip R u hu hr.le (Q i) r δ (hq i)
80
+ let F : I×B→Wgt A := uncurry s
81
+ let G : J×B→Wgt A := uncurry y
82
+ obtain ⟨m,hm,p,hP⟩:= hl A (I×B) (pairW w unif) u F (pairW_law hw unif_law) hu (fun i j=> hs _ _ _)
83
+ refine ⟨m,hm,p,fun f g hf hg=>?_⟩
84
+ let f' (i : I×J):= mcut R u (f i)
85
+ let g' (i : I×J):= mcut R u (g i)
86
+ choose a hA using fun i:I×J => h1 i.1 (f i) (hf i)
87
+ choose b hB using fun i:I×J => h2 i.2 (g i) (hg i)
88
+ let H (i:I×J) := |rebate u (F (i.1,a i)) (G (i.2,b i)) p|
89
+ let D:=pairW w v; have hD:= pairW_law hw hv
90
+ have he := rollup u w v hw hv hu F G a b R hr (fun i j=> hy _ _ _) p c hP
91
+ have hb : 0≤2*R := by linarith only [hr]
92
+ have hi (i:I×J) : |rebate u (f' i) (g' i) p|≤ H i+(δ*(4*R)) := by
93
+ let A' := F (i.1,a i); let B' := G (i.2,b i)
94
+ have h1 (j) : |g' i j|≤R := by
95
+ rw [abs_of_nonneg ((mcut_range _ _ _ hr.le j).1)]
96
+ exact (mcut_range _ _ _ hr.le j).2
97
+ have h3 : |rebate u (f' i) (g' i) p - rebate u A' (g' i) p|≤ δ*(2*R) := by
98
+ exact (rebate_cost u _ _ A' p hu.nz R hr.le h1).trans (mul_le_mul_of_nonneg_right (hA i) hb)
99
+ have h4 : |rebate u A' (g' i) p - rebate u A' B' p|≤δ*(2*R) := by
100
+ rw [rebate_sym u A',rebate_sym u A']
101
+ exact (rebate_cost u _ _ B' p hu.nz R hr.le (fun i=>hs _ _ _)).trans
102
+ (mul_le_mul_of_nonneg_right (hB i) hb)
103
+ let U:=rebate u A' B' p
104
+ let X:=rebate u (f' i) (g' i) p
105
+ have hz:= (abs_sub_le X (rebate u A' (g' i) p) U).trans (add_le_add h3 h4)
106
+ calc |X| = |(X-U)+U| := by rw [sub_add_cancel]
107
+ _ ≤ _ := ((abs_add_le _ _).trans (add_le_add_left hz _)).trans_eq (by
108
+ change _+ |U| = |U|+δ*(4*R)
109
+ ring)
110
+ refine (avg_mono hD.nz hi).trans ?_
111
+ rw [avg_add,hD.avg_const]
112
+ exact (add_le_add_left he _).trans_eq (by
113
+ change t^2*(R*c)+δ*(4*R)=_
114
+ unfold δ c; field_simp; ring)
115
+ end HadwigerCounterexample
116
+
117
+ end
118
+
119
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CommonPredictions.lean CHANGED
@@ -1,112 +1,112 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PointAtomVanishing
2
- import OAI.Combinatorics.HadwigerCounterexample.UnaryPositivityBounds
3
-
4
- namespace OAI
5
-
6
- /-! # Common Predictions -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix Module LinearMap Function Finset Submodule
11
- open scoped BigOperators
12
- variable {p : Shape} {n N : ℕ}
13
-
14
- abbrev Augur (p : Shape) (N : ℕ) := ∀ t : Tag p.g,F→AtomKey (p:=p) t N→F
15
- def mismatch (p : Shape) {n N : ℕ} (g : Augur p N) (F : Pdual p n) (l : Tag p.g)
16
- (s : Label p.b) (f : Flavor p.g) (x : Orient p n N) (y : Knobs p.g n) :=
17
- F (useAtom p l s f y)≠ g l (dialed p l f y) (keyOne p l s (lit f l y) x)
18
- def postulates (p : Shape) (o : Orient p n N)
19
- (g : Augur p N) (w : Pdual p n) (E : Finset (Label p.b)) (δ : ℝ) :=
20
- ∀ s,s∉E→∀ l f, pr (spins p n) (fun i => mismatch p g w l s f o i)≤δ
21
-
22
- def yoke (p : Shape) (m : Mixer p n) (x : UnitType p n N) (i : Bool)
23
- (u : Profile p n) (α : F) : Pdual p n :=
24
- innerP p x i + (Tsym m u + α • role p n)
25
-
26
- def claimed (p : Shape) (x : UnitType p n N)
27
- (g : Bool→Augur p N) (m : Mixer p n)
28
- (w : Bool→Profile p n) (α : Bool→F) (L : Bool → Finset (Label p.b)) (δ : ℝ) :=
29
- ∀ i,postulates p (onSide x i) (g i) (yoke p m x i (w i) (α i)) (L i) δ
30
-
31
- def silent (w : Pdual p n) := ∀ x, x∈Xspace p n → w x=0
32
-
33
- def fixStar (p : Shape) (n : ℕ) (l : Tag p.g) :
34
- Moment p n →ₗ[F] Profile p n :=
35
- cut p n ∘ₗ LinearMap.single F (fun _ : Tag p.g => Moment p n) l
36
- theorem fix_one (p : Shape) (n : ℕ) (l : Tag p.g) (s : Label p.b) (z : Base p.g n) :
37
- atom p l s z=fixStar p n l (mom p s z) := rfl
38
-
39
- theorem atom_silent {w : Pdual p n}
40
- (h : ∀ l s z,allows l z → w (atom p l s z)=0) : silent w := by
41
- classical
42
- intro x hx
43
- obtain ⟨u,hu,rfl⟩ := mem_X.mp hx
44
- have he l : Wtag p n l≤LinearMap.ker (w∘ₗfixStar p n l) := by
45
- refine Submodule.span_le.mpr ?_
46
- rintro x ⟨s,z,hz,rfl⟩
47
- exact h l s z hz
48
- have ht : (cut p n u)=∑ i : Tag p.g,fixStar p n i (u i) := by
49
- have hh := Finset.univ_sum_single u
50
- unfold fixStar
51
- simp_rw [LinearMap.comp_apply, ← map_sum (cut p n)]
52
- exact congrArg (cut p n) (Eq.symm hh)
53
- rw [ht,map_sum]; exact Finset.sum_eq_zero fun i _=>he _ (hu i)
54
-
55
- theorem shared_base (p : Shape) (hn : 2*p.r≤n) (hr : 1 ≤ p.r) (hg : 0 < p.g) :
56
- ∃ (z : Base p.g n) (s : Label p.b), (∀ l, allows l z) ∧ eta p n (mom p s z)=1 := by
57
- classical
58
- let l : Tag p.g := ⟨0,hg⟩
59
- let f : Flavor p.g:= Flavor.sharedOnly
60
- let i := (Sum.inr () : ProbeIdx p.g)
61
- let v : Digest p.g := Pi.single i 1
62
- have hx : v.feasible l f := by
63
- rintro (x|⟨⟩) _
64
- · exact Pi.single_eq_of_ne (by simp [i]) _
65
- exact (‹¬_› trivial).elim
66
- have he := exists_of_pr_pos (spins_law p n).nz
67
- ((scanPrice_pos p).trans_le (scan_fraction (n:=n) l f v hr hn hx))
68
- obtain ⟨x,h,_⟩ := he
69
- refine ⟨lit f l x,0,fun i d t h k => ite_eq_right (by simp [f,Flavor.keeps]),?_⟩
70
- rw [←etaScan,h]; simp [v,Digest.sumBit,Digest.diagO,i]
71
-
72
- theorem atom_union (p : Shape) (n : ℕ) (z : Base p.g n) (s : Label p.b) :
73
- ∑ i:Tag p.g,atom p i s z=0 := by
74
- simp_rw [atom,←map_sum (cut p n)]
75
- rw [Finset.univ_sum_single (fun i : Tag p.g => mom p s z)]
76
- funext x
77
- exact char_two (mom p s z)
78
-
79
- set_option maxHeartbeats 800000 in
80
- theorem exact_vat (w : Pdual p n) (E : Finset (Label p.b)) (g : F)
81
- (hE : (E.card:ℝ)<bp ((p.b:ℝ)-2*p.j))
82
- (hj : Odd p.g) (hn : 2*p.r≤n) (hr : 1≤p.r)
83
- (h : ∀ l s,s∉E → pr (spins p n)
84
- (fun x => w (useAtom p l s Flavor.full x)≠g *dialed p l Flavor.full x)<1/4) :
85
- g=0∧ silent w := by
86
- classical
87
- let Q l := w ∘ₗ fixStar p n l - g • eta p n
88
- have hi (l : Tag p.g) (s : Label p.b) (z : Base p.g n) :
89
- Q l (mom p s z)= w (atom p l s z)-g*eta p n (mom p s z) := rfl
90
- have hh (l s z) (hz : allows l z) : Q l (mom p s z)=0 := by
91
- have he (s) (hs : s∉E) :
92
- pr (spins p n) (fun x=> Q l (mom p s (lit Flavor.full l x))≠0)<1/4 := by
93
- simp_rw [hi,←etaScan p l s Flavor.full]
94
- simpa only [sub_ne_zero,useAtom,dialed] using h l s hs
95
- exact vat_excluded z E (Q l) (fun i h=>vat_erase l i (Q l) (he i h) z hz) hE s
96
- simp_rw [hi] at hh
97
- have he l s z (h : allows l z) : w (atom p l s z) =g*eta p n (mom p s z) :=
98
- sub_eq_zero.mp (hh l s z h)
99
- obtain ⟨z,s,hz,hb⟩ := shared_base p hn hr (by obtain ⟨_,hh⟩ := hj; omega)
100
- have h0 : g=0 := by
101
- have ht : w (∑ l:Tag p.g,atom p l s z)=0 := by rw [atom_union,map_zero]
102
- rw [map_sum] at ht
103
- simp_rw [he _ s z (hz _),hb,mul_one] at ht
104
- simpa only [Finset.sum_const, Finset.card_univ,Tag,Fintype.card_fin,
105
- odd_smul_bit hj] using ht
106
- refine ⟨h0,atom_silent (fun i s z h=> (he i s z h).trans ?_)⟩
107
- rw [h0,zero_mul]
108
- end HadwigerCounterexample
109
-
110
- end
111
-
112
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PointAtomVanishing
2
+ import OAI.Combinatorics.HadwigerCounterexample.UnaryPositivityBounds
3
+
4
+ namespace OAI
5
+
6
+ /-! # Common Predictions -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix Module LinearMap Function Finset Submodule
11
+ open scoped BigOperators
12
+ variable {p : Shape} {n N : ℕ}
13
+
14
+ abbrev Augur (p : Shape) (N : ℕ) := ∀ t : Tag p.g,F→AtomKey (p:=p) t N→F
15
+ def mismatch (p : Shape) {n N : ℕ} (g : Augur p N) (F : Pdual p n) (l : Tag p.g)
16
+ (s : Label p.b) (f : Flavor p.g) (x : Orient p n N) (y : Knobs p.g n) :=
17
+ F (useAtom p l s f y)≠ g l (dialed p l f y) (keyOne p l s (lit f l y) x)
18
+ def postulates (p : Shape) (o : Orient p n N)
19
+ (g : Augur p N) (w : Pdual p n) (E : Finset (Label p.b)) (δ : ℝ) :=
20
+ ∀ s,s∉E→∀ l f, pr (spins p n) (fun i => mismatch p g w l s f o i)≤δ
21
+
22
+ def yoke (p : Shape) (m : Mixer p n) (x : UnitType p n N) (i : Bool)
23
+ (u : Profile p n) (α : F) : Pdual p n :=
24
+ innerP p x i + (Tsym m u + α • role p n)
25
+
26
+ def claimed (p : Shape) (x : UnitType p n N)
27
+ (g : Bool→Augur p N) (m : Mixer p n)
28
+ (w : Bool→Profile p n) (α : Bool→F) (L : Bool → Finset (Label p.b)) (δ : ℝ) :=
29
+ ∀ i,postulates p (onSide x i) (g i) (yoke p m x i (w i) (α i)) (L i) δ
30
+
31
+ def silent (w : Pdual p n) := ∀ x, x∈Xspace p n → w x=0
32
+
33
+ def fixStar (p : Shape) (n : ℕ) (l : Tag p.g) :
34
+ Moment p n →ₗ[F] Profile p n :=
35
+ cut p n ∘ₗ LinearMap.single F (fun _ : Tag p.g => Moment p n) l
36
+ theorem fix_one (p : Shape) (n : ℕ) (l : Tag p.g) (s : Label p.b) (z : Base p.g n) :
37
+ atom p l s z=fixStar p n l (mom p s z) := rfl
38
+
39
+ theorem atom_silent {w : Pdual p n}
40
+ (h : ∀ l s z,allows l z → w (atom p l s z)=0) : silent w := by
41
+ classical
42
+ intro x hx
43
+ obtain ⟨u,hu,rfl⟩ := mem_X.mp hx
44
+ have he l : Wtag p n l≤LinearMap.ker (w∘ₗfixStar p n l) := by
45
+ refine Submodule.span_le.mpr ?_
46
+ rintro x ⟨s,z,hz,rfl⟩
47
+ exact h l s z hz
48
+ have ht : (cut p n u)=∑ i : Tag p.g,fixStar p n i (u i) := by
49
+ have hh := Finset.univ_sum_single u
50
+ unfold fixStar
51
+ simp_rw [LinearMap.comp_apply, ← map_sum (cut p n)]
52
+ exact congrArg (cut p n) (Eq.symm hh)
53
+ rw [ht,map_sum]; exact Finset.sum_eq_zero fun i _=>he _ (hu i)
54
+
55
+ theorem shared_base (p : Shape) (hn : 2*p.r≤n) (hr : 1 ≤ p.r) (hg : 0 < p.g) :
56
+ ∃ (z : Base p.g n) (s : Label p.b), (∀ l, allows l z) ∧ eta p n (mom p s z)=1 := by
57
+ classical
58
+ let l : Tag p.g := ⟨0,hg⟩
59
+ let f : Flavor p.g:= Flavor.sharedOnly
60
+ let i := (Sum.inr () : ProbeIdx p.g)
61
+ let v : Digest p.g := Pi.single i 1
62
+ have hx : v.feasible l f := by
63
+ rintro (x|⟨⟩) _
64
+ · exact Pi.single_eq_of_ne (by simp [i]) _
65
+ exact (‹¬_› trivial).elim
66
+ have he := exists_of_pr_pos (spins_law p n).nz
67
+ ((scanPrice_pos p).trans_le (scan_fraction (n:=n) l f v hr hn hx))
68
+ obtain ⟨x,h,_⟩ := he
69
+ refine ⟨lit f l x,0,fun i d t h k => ite_eq_right (by simp [f,Flavor.keeps]),?_⟩
70
+ rw [←etaScan,h]; simp [v,Digest.sumBit,Digest.diagO,i]
71
+
72
+ theorem atom_union (p : Shape) (n : ℕ) (z : Base p.g n) (s : Label p.b) :
73
+ ∑ i:Tag p.g,atom p i s z=0 := by
74
+ simp_rw [atom,←map_sum (cut p n)]
75
+ rw [Finset.univ_sum_single (fun i : Tag p.g => mom p s z)]
76
+ funext x
77
+ exact char_two (mom p s z)
78
+
79
+ set_option maxHeartbeats 800000 in
80
+ theorem exact_vat (w : Pdual p n) (E : Finset (Label p.b)) (g : F)
81
+ (hE : (E.card:ℝ)<bp ((p.b:ℝ)-2*p.j))
82
+ (hj : Odd p.g) (hn : 2*p.r≤n) (hr : 1≤p.r)
83
+ (h : ∀ l s,s∉E → pr (spins p n)
84
+ (fun x => w (useAtom p l s Flavor.full x)≠g *dialed p l Flavor.full x)<1/4) :
85
+ g=0∧ silent w := by
86
+ classical
87
+ let Q l := w ∘ₗ fixStar p n l - g • eta p n
88
+ have hi (l : Tag p.g) (s : Label p.b) (z : Base p.g n) :
89
+ Q l (mom p s z)= w (atom p l s z)-g*eta p n (mom p s z) := rfl
90
+ have hh (l s z) (hz : allows l z) : Q l (mom p s z)=0 := by
91
+ have he (s) (hs : s∉E) :
92
+ pr (spins p n) (fun x=> Q l (mom p s (lit Flavor.full l x))≠0)<1/4 := by
93
+ simp_rw [hi,←etaScan p l s Flavor.full]
94
+ simpa only [sub_ne_zero,useAtom,dialed] using h l s hs
95
+ exact vat_excluded z E (Q l) (fun i h=>vat_erase l i (Q l) (he i h) z hz) hE s
96
+ simp_rw [hi] at hh
97
+ have he l s z (h : allows l z) : w (atom p l s z) =g*eta p n (mom p s z) :=
98
+ sub_eq_zero.mp (hh l s z h)
99
+ obtain ⟨z,s,hz,hb⟩ := shared_base p hn hr (by obtain ⟨_,hh⟩ := hj; omega)
100
+ have h0 : g=0 := by
101
+ have ht : w (∑ l:Tag p.g,atom p l s z)=0 := by rw [atom_union,map_zero]
102
+ rw [map_sum] at ht
103
+ simp_rw [he _ s z (hz _),hb,mul_one] at ht
104
+ simpa only [Finset.sum_const, Finset.card_univ,Tag,Fintype.card_fin,
105
+ odd_smul_bit hj] using ht
106
+ refine ⟨h0,atom_silent (fun i s z h=> (he i s z h).trans ?_)⟩
107
+ rw [h0,zero_mul]
108
+ end HadwigerCounterexample
109
+
110
+ end
111
+
112
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CompatibleOptionRealization.lean CHANGED
@@ -1,130 +1,130 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PairedEventBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Compatible Option Realization -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Function Module LinearMap
10
- open scoped BigOperators
11
- variable {p:Shape} {n N M K s0:ℕ}
12
- namespace StatusAnalysis
13
-
14
- variable {q:Format} {d e: Rates} {b:Bool}
15
- abbrev Stalls (p:Shape) := Bool→Finset (Label p.b)
16
-
17
- def booths (p:Shape) (K:ℕ) (s: Plan p n) (H:Stalls p) :=
18
- (∀ i,(H i).card≤frameBills p.g K) ∧
19
- ∀ i j, protectedBy p (sPin s j i) (qorth K) (H i)
20
- theorem buildBooths (K:ℕ) (s:Plan p n) (h:planRank s≤K)
21
- (hj:(K+1)*qorth K≤p.j+1) :
22
- ∃ H,booths p K s H := by
23
- classical
24
- choose H hH hG using fun i : Bool=> pin_protection s i K (qorth K) h hj
25
- exact ⟨H,hH,hG⟩
26
-
27
- theorem shelter (K :ℕ) (S:Pin p n N) (t : Quill p q d b) (z : Tagging p (Messenger q)) (H:Stalls p)
28
- (h:booths p K S.sp H) (hp : Injective t.sel)
29
- (ht:∀ i:Messenger q,t.sel i∉H (parcel b i))
30
- (hg : ∀ i,1≤q i ∧ q i≤7) : t.penSpace z S K := by
31
- intro x i
32
- let v:=(t.pen z).draw x
33
- refine ⟨H i,h.2 i,fun j hj=>?_,?_,hp.injOn⟩
34
- · have he : parcel b j=i := Finset.mem_filter.mp hj|>.2
35
- rw [←he]; exact ht j
36
- exact (Volley.here_card v (shots_ok b v rfl hg) i).trans (by unfold qorth; omega)
37
-
38
- theorem sizedCharts (K:ℕ) (w:LeafMixture p n N) (t:Station p n N K w) (ht:t.bank)
39
- (i:w.T) (h:planRank (w.pin i.val).sp≤K) :
40
- ∃ d:Stakes K,charted (t.cAxes i (toRates d)) (w.pin i.val).sp := by
41
- let s:=(w.pin i.val).sp
42
- let d (i:Nodes):= dim (effective s i)
43
- have hd i : d i < K^2+1 := Nat.lt_of_le_of_lt
44
- ((effective_dim s i).trans (by gcongr)) (Nat.lt_succ_self _)
45
- exact ⟨fun i=>⟨d i,hd i⟩,ht.1 i⟩
46
-
47
- structure Fabric (p:Shape) (q:Format) (d:Rates) (b:Bool) where
48
- sel : Messenger q → Label p.b
49
- flav : Messenger q → Flavor p.g
50
- amp : Amounts p q d b
51
-
52
- namespace Fabric
53
- variable (w:Fabric p q d b) (t:Tagging p (Messenger q))
54
- def hang (s:Script p (Messenger q)) : Quill p q d b :=
55
- ⟨w.sel,w.flav,w.amp,s⟩
56
- def up (w:Fabric p q d b) (t:Tagging p (Messenger q)) (z: Messenger q→F) :=
57
- (w.hang 0).moral t z
58
-
59
- end Fabric
60
-
61
- variable {i j:Bool} {L:ℕ}
62
- set_option maxHeartbeats 1200000 in
63
- theorem optionVia (q:Format) (d e : Rates) (s t:Pin p n N) (T:Cross p n) (K:ℕ)
64
- (ha: tableInj s.sp t.sp T) (hb : tableInj t.sp s.sp (reciprocal p T))
65
- (p':Tagging p (Messenger q)) (x:Charts p n d) (y:Charts p n e)
66
- (hx:charted x s.sp) (hy:charted y t.sp)
67
- (f:Fabric p q d true) (g:Fabric p q e false)
68
- (hs h:Stalls p) (hm:booths p K s.sp hs) (hu : booths p K t.sp h)
69
- (hf:∀ i,f.sel i∉ hs (parcel true i)) (hg:∀ i,g.sel i∉ h (parcel false i))
70
- (z:Messenger q→F) (hF:f.up p' z)(hG:g.up p' z)
71
- (hj : 1≤p.J) (h2: 2≤p.g) (h₀:∀ i,1≤q i∧q i≤7)
72
- (he:speak _ _ (sendSum z f.amp g.amp)=(hailing p x y T,0)) :
73
- ∃ (a b:Script p (Messenger q)),Typus.chances ⟨p',z,f.hang a,g.hang b⟩ x y s t T K := by
74
- obtain ⟨hQ,hR,hL,hS⟩:= (spoken x y T z f.amp g.amp).mp he
75
- obtain ⟨a,ha'⟩:= proclaim_script true f.amp g.amp p' y (reciprocal p T) hR (fun i=>(h₀ i).1)
76
- hS h2 hj
77
- have hh : rhyme g.amp f.amp := fun i=> (add_comm ..).trans (hR i)
78
- obtain ⟨b,hb'⟩:= proclaim_script false g.amp f.amp p' x T hh (fun i=>(h₀ i).1)
79
- hL h2 hj
80
- exact ⟨a,b, ⟨h₀,hF,hG,hQ,hR,ha',hb'⟩,⟨hx,shelter K s (f.hang a) p' hs hm hF.1 hf h₀,hL,ha⟩,
81
- ⟨hy,shelter K t (g.hang b) p' h hu hG.1 hg h₀,hS,hb⟩⟩
82
-
83
- def berthTicket (a b:Pin p n N) (T: Cross p n)
84
- (x:UnitType p n N × UnitType p n N) :=
85
- tableInj a.sp b.sp T ∧ tableInj b.sp a.sp (reciprocal p T)
86
- ∧ fitsTable a.sp b.sp T (actual p x.1 x.2)
87
-
88
- theorem issueTicket (x y:UnitType p n N) (w : LeafMixture p n N) (t:Station p n N K w)
89
- (i j:w.T) (ha:apart w.T)
90
- (hx:x∈i.val) (hy:y∈j.val) (ht:t.bank)
91
- (he : secureAt p w.rooting (x,y)) :
92
- ∃ k, berthTicket (w.pin i.val) (w.pin j.val) (t.mails i j k) (x,y) := by
93
- obtain ⟨k,hk⟩:=ht.2 i j (actual p x y)
94
- obtain ⟨h1,h2⟩:=he
95
- let a:= w.pin i.val; let b:= w.pin j.val
96
- have hh : w.rooting x=a.sp:= congrArg Pin.sp (LeafMixture.poller_eq w ha i.property hx)
97
- have hg : w.rooting y=b.sp:= congrArg Pin.sp (LeafMixture.poller_eq w ha j.property hy)
98
- change tableInj (w.rooting x) (w.rooting y) (actual p x y) at h1
99
- change tableInj (w.rooting y) (w.rooting x) (actual p y x) at h2
100
- rw [hh,hg] at h1 h2
101
- rw [← reciprocal_actual] at h2
102
- exact ⟨k, fits_inj hk h1,fits_inj (fits_recip hk) h2,hk⟩
103
-
104
- theorem berth_flags (a b:Pin p n N) (T:Cross p n) {x:UnitType p n N × UnitType p n N}
105
- (h:berthTicket a b T x) (ha:a.agree x.1) (hb:b.agree x.2) :
106
- tableFlag a b T x.1 ∧ tableFlag b a (reciprocal p T) x.2 := by
107
- have hg:=fits_recip h.2.2; rw [reciprocal_actual] at hg
108
- exact ⟨fits_flag T _ a b x.1 h.2.2 (flag_actual _ _ hb),
109
- fits_flag _ _ b a x.2 hg (flag_actual _ _ ha)⟩
110
-
111
- def cardTone (m:BMark p n N) (x:UnitType p n N) (T:Cross p n) (j:Bool) : F :=
112
- ∑ i:Bool,contract p T i j (m x i)
113
-
114
- theorem actualTone (m:BMark p n N) (a b : UnitType p n N) (j:Bool) :
115
- cardTone m a (actual p a b) j = tone p b (unary j) (delta m a) := by
116
- rw [lone]
117
- unfold cardTone delta
118
- rw [map_add,Fintype.sum_bool]
119
- simp_rw [contract_actual]; rfl
120
- theorem fitsTone {w v: Plan p n} {T U:Cross p n}
121
- (m:BMark p n N) (x:UnitType p n N)
122
- (h:fitsTable w v T U) (hx:∀ i,m x i∈effective w i) (j) :
123
- cardTone m x T j=cardTone m x U j :=
124
- Finset.sum_congr rfl (fun i _=>fits_contract h i j _ (hx i))
125
- end StatusAnalysis
126
- end HadwigerCounterexample
127
-
128
- end
129
-
130
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PairedEventBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Compatible Option Realization -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Function Module LinearMap
10
+ open scoped BigOperators
11
+ variable {p:Shape} {n N M K s0:ℕ}
12
+ namespace StatusAnalysis
13
+
14
+ variable {q:Format} {d e: Rates} {b:Bool}
15
+ abbrev Stalls (p:Shape) := Bool→Finset (Label p.b)
16
+
17
+ def booths (p:Shape) (K:ℕ) (s: Plan p n) (H:Stalls p) :=
18
+ (∀ i,(H i).card≤frameBills p.g K) ∧
19
+ ∀ i j, protectedBy p (sPin s j i) (qorth K) (H i)
20
+ theorem buildBooths (K:ℕ) (s:Plan p n) (h:planRank s≤K)
21
+ (hj:(K+1)*qorth K≤p.j+1) :
22
+ ∃ H,booths p K s H := by
23
+ classical
24
+ choose H hH hG using fun i : Bool=> pin_protection s i K (qorth K) h hj
25
+ exact ⟨H,hH,hG⟩
26
+
27
+ theorem shelter (K :ℕ) (S:Pin p n N) (t : Quill p q d b) (z : Tagging p (Messenger q)) (H:Stalls p)
28
+ (h:booths p K S.sp H) (hp : Injective t.sel)
29
+ (ht:∀ i:Messenger q,t.sel i∉H (parcel b i))
30
+ (hg : ∀ i,1≤q i ∧ q i≤7) : t.penSpace z S K := by
31
+ intro x i
32
+ let v:=(t.pen z).draw x
33
+ refine ⟨H i,h.2 i,fun j hj=>?_,?_,hp.injOn⟩
34
+ · have he : parcel b j=i := Finset.mem_filter.mp hj|>.2
35
+ rw [←he]; exact ht j
36
+ exact (Volley.here_card v (shots_ok b v rfl hg) i).trans (by unfold qorth; omega)
37
+
38
+ theorem sizedCharts (K:ℕ) (w:LeafMixture p n N) (t:Station p n N K w) (ht:t.bank)
39
+ (i:w.T) (h:planRank (w.pin i.val).sp≤K) :
40
+ ∃ d:Stakes K,charted (t.cAxes i (toRates d)) (w.pin i.val).sp := by
41
+ let s:=(w.pin i.val).sp
42
+ let d (i:Nodes):= dim (effective s i)
43
+ have hd i : d i < K^2+1 := Nat.lt_of_le_of_lt
44
+ ((effective_dim s i).trans (by gcongr)) (Nat.lt_succ_self _)
45
+ exact ⟨fun i=>⟨d i,hd i⟩,ht.1 i⟩
46
+
47
+ structure Fabric (p:Shape) (q:Format) (d:Rates) (b:Bool) where
48
+ sel : Messenger q → Label p.b
49
+ flav : Messenger q → Flavor p.g
50
+ amp : Amounts p q d b
51
+
52
+ namespace Fabric
53
+ variable (w:Fabric p q d b) (t:Tagging p (Messenger q))
54
+ def hang (s:Script p (Messenger q)) : Quill p q d b :=
55
+ ⟨w.sel,w.flav,w.amp,s⟩
56
+ def up (w:Fabric p q d b) (t:Tagging p (Messenger q)) (z: Messenger q→F) :=
57
+ (w.hang 0).moral t z
58
+
59
+ end Fabric
60
+
61
+ variable {i j:Bool} {L:ℕ}
62
+ set_option maxHeartbeats 1200000 in
63
+ theorem optionVia (q:Format) (d e : Rates) (s t:Pin p n N) (T:Cross p n) (K:ℕ)
64
+ (ha: tableInj s.sp t.sp T) (hb : tableInj t.sp s.sp (reciprocal p T))
65
+ (p':Tagging p (Messenger q)) (x:Charts p n d) (y:Charts p n e)
66
+ (hx:charted x s.sp) (hy:charted y t.sp)
67
+ (f:Fabric p q d true) (g:Fabric p q e false)
68
+ (hs h:Stalls p) (hm:booths p K s.sp hs) (hu : booths p K t.sp h)
69
+ (hf:∀ i,f.sel i∉ hs (parcel true i)) (hg:∀ i,g.sel i∉ h (parcel false i))
70
+ (z:Messenger q→F) (hF:f.up p' z)(hG:g.up p' z)
71
+ (hj : 1≤p.J) (h2: 2≤p.g) (h₀:∀ i,1≤q i∧q i≤7)
72
+ (he:speak _ _ (sendSum z f.amp g.amp)=(hailing p x y T,0)) :
73
+ ∃ (a b:Script p (Messenger q)),Typus.chances ⟨p',z,f.hang a,g.hang b⟩ x y s t T K := by
74
+ obtain ⟨hQ,hR,hL,hS⟩:= (spoken x y T z f.amp g.amp).mp he
75
+ obtain ⟨a,ha'⟩:= proclaim_script true f.amp g.amp p' y (reciprocal p T) hR (fun i=>(h₀ i).1)
76
+ hS h2 hj
77
+ have hh : rhyme g.amp f.amp := fun i=> (add_comm ..).trans (hR i)
78
+ obtain ⟨b,hb'⟩:= proclaim_script false g.amp f.amp p' x T hh (fun i=>(h₀ i).1)
79
+ hL h2 hj
80
+ exact ⟨a,b, ⟨h₀,hF,hG,hQ,hR,ha',hb'⟩,⟨hx,shelter K s (f.hang a) p' hs hm hF.1 hf h₀,hL,ha⟩,
81
+ ⟨hy,shelter K t (g.hang b) p' h hu hG.1 hg h₀,hS,hb⟩⟩
82
+
83
+ def berthTicket (a b:Pin p n N) (T: Cross p n)
84
+ (x:UnitType p n N × UnitType p n N) :=
85
+ tableInj a.sp b.sp T ∧ tableInj b.sp a.sp (reciprocal p T)
86
+ ∧ fitsTable a.sp b.sp T (actual p x.1 x.2)
87
+
88
+ theorem issueTicket (x y:UnitType p n N) (w : LeafMixture p n N) (t:Station p n N K w)
89
+ (i j:w.T) (ha:apart w.T)
90
+ (hx:x∈i.val) (hy:y∈j.val) (ht:t.bank)
91
+ (he : secureAt p w.rooting (x,y)) :
92
+ ∃ k, berthTicket (w.pin i.val) (w.pin j.val) (t.mails i j k) (x,y) := by
93
+ obtain ⟨k,hk⟩:=ht.2 i j (actual p x y)
94
+ obtain ⟨h1,h2⟩:=he
95
+ let a:= w.pin i.val; let b:= w.pin j.val
96
+ have hh : w.rooting x=a.sp:= congrArg Pin.sp (LeafMixture.poller_eq w ha i.property hx)
97
+ have hg : w.rooting y=b.sp:= congrArg Pin.sp (LeafMixture.poller_eq w ha j.property hy)
98
+ change tableInj (w.rooting x) (w.rooting y) (actual p x y) at h1
99
+ change tableInj (w.rooting y) (w.rooting x) (actual p y x) at h2
100
+ rw [hh,hg] at h1 h2
101
+ rw [← reciprocal_actual] at h2
102
+ exact ⟨k, fits_inj hk h1,fits_inj (fits_recip hk) h2,hk⟩
103
+
104
+ theorem berth_flags (a b:Pin p n N) (T:Cross p n) {x:UnitType p n N × UnitType p n N}
105
+ (h:berthTicket a b T x) (ha:a.agree x.1) (hb:b.agree x.2) :
106
+ tableFlag a b T x.1 ∧ tableFlag b a (reciprocal p T) x.2 := by
107
+ have hg:=fits_recip h.2.2; rw [reciprocal_actual] at hg
108
+ exact ⟨fits_flag T _ a b x.1 h.2.2 (flag_actual _ _ hb),
109
+ fits_flag _ _ b a x.2 hg (flag_actual _ _ ha)⟩
110
+
111
+ def cardTone (m:BMark p n N) (x:UnitType p n N) (T:Cross p n) (j:Bool) : F :=
112
+ ∑ i:Bool,contract p T i j (m x i)
113
+
114
+ theorem actualTone (m:BMark p n N) (a b : UnitType p n N) (j:Bool) :
115
+ cardTone m a (actual p a b) j = tone p b (unary j) (delta m a) := by
116
+ rw [lone]
117
+ unfold cardTone delta
118
+ rw [map_add,Fintype.sum_bool]
119
+ simp_rw [contract_actual]; rfl
120
+ theorem fitsTone {w v: Plan p n} {T U:Cross p n}
121
+ (m:BMark p n N) (x:UnitType p n N)
122
+ (h:fitsTable w v T U) (hx:∀ i,m x i∈effective w i) (j) :
123
+ cardTone m x T j=cardTone m x U j :=
124
+ Finset.sum_congr rfl (fun i _=>fits_contract h i j _ (hx i))
125
+ end StatusAnalysis
126
+ end HadwigerCounterexample
127
+
128
+ end
129
+
130
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CompatiblePairTests.lean CHANGED
@@ -1,105 +1,105 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PredictionClassBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Compatible Pair Tests -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Function Module LinearMap Matrix
10
- open scoped BigOperators Topology
11
- open Template
12
- namespace StatusAnalysis
13
- open PreparationParameters Station PredictionClass Club Guild DualAnalysis
14
- variable {p:Shape} {n N M r s0:ℕ}
15
- {w:rhythms p M} {b:PreparationParameters}
16
-
17
- set_option maxHeartbeats 1800000 in
18
- theorem foretold (w:rhythms p M) (m:cycleM p) (x:Sketch p M)
19
- (v:Station p n (M*n) b.pins (w n)) (hv:v.bank)
20
- (U:Wgt (UnitType p n (M*n))) (h:Lead U (w n) (m n) b)
21
- (hE:AnalyticParameters p M b s0)
22
- (hm:(w n).within (engrave x b m w n))
23
- (hn:2*p.r≤n) (Y:Silhouette p (M*n) r) (f:Bool→Pulsar p r)
24
- {τ ε δ η a d0:ℝ} (hh: hue x.c Y f (fun i=>x.g i n) x.α τ)
25
- (hε:0<ε) (hp:Jubilee p b.pins ε η)
26
- (hB:supportBudget p b.pins η a)
27
- (hz:x.ε n ≤scanPrice p*ε) (ht:10*ε≤τ) (hT:2*τ<1)
28
- (hF:Beams b (m n) Y (w n) U v a ε δ d0) (i : ViewPair p n (M*n) (w n))
29
- (hx:cirque (w n) U i ≠0)
30
- (hg1:gauze p δ δ Y (m n) b.pins i.1.2) (hg2:gauze p δ δ Y (m n) b.pins i.2.2)
31
- (hC:matchProg x n (i.1.2,i.2.2))
32
- (hS:secureAt p (w n).rooting (i.1.2,i.2.2)) :
33
- eligiblePair v (m n) i.1 i.2 Y a := by
34
- classical
35
- let s:=w n; let μ:= U; let K:=b.pins
36
- let X:=i.1.2; let Z:=i.2.2
37
- let j:=i.1.1; let k:=i.2.1
38
- let L:=troupe s μ
39
- have hs : L i.1≠0:=left_ne_zero_of_mul hx
40
- have hl : L i.2 ≠0:=right_ne_zero_of_mul hx
41
- have hX := troupe_home h i.1 hs
42
- have hZ:= troupe_home h i.2 hl
43
- have hL i:= (h.strength.leaf _ (Subtype.prop (show s.T from i))).bound
44
- obtain ⟨g,hg⟩:= ready_loupe s v hv hE hL
45
- let d:= g.r j; let e:=g.r k
46
- let t:=v.cAxes j (toRates d); let u:=v.cAxes k (toRates e)
47
- let A:=g.H j; let B:=g.H k
48
- let m':=x.m n
49
- let F:=x.L n X; let H:=x.L n Z
50
- let P:= A⊔F; let Q:=B⊔ H
51
- obtain ⟨⟨h1,h2⟩,h3,h4⟩:=hm _ j.property X hX.1
52
- obtain ⟨⟨h1',h2'⟩,h3',h4'⟩:=hm _ k.property Z hZ.1
53
- let M0:=s.pin j.val; let M1:=s.pin k.val
54
- have he (i):m' X i∈ effective M0.sp i:= (hX.2.1 ▸ (h1 i).2)
55
- have he' i:m' Z i∈effective M1.sp i:= (hZ.2.1 ▸ (h1' i).2)
56
- choose T hP using fun i=> show m' X i∈LinearMap.range (t i) from
57
- (hg.charts j i).1.symm ▸ he i
58
- choose S hQ using fun i=> show m' Z i∈ LinearMap.range (u i) from
59
- (hg.charts k i).1.symm ▸ he' i
60
- let Γ:PredictionData p (toRates d) (toRates e) r := ⟨x.α,f,T,S⟩
61
- have ht0:= hE.enter.first
62
- let M' := m n
63
- let D:=wisp p Y; let X0:=wake p Y M' X t; let X1:=wake p Y M' Z u
64
- let β:=trimBeta p K
65
- let C:=stellar D X0 X1 η P Q
66
- have hk0 i t:=Nat.lt_succ_iff.mp (g.r i t).isLt
67
- have hA: reports p r D X0 β δ:=routeLive s g v hg M' hE hn i.1 Y δ hF.haze.1 (hL _) hg1
68
- have hB1: reports p r D X1 β δ:=routeLive s g v hg M' hE hn i.2 Y δ hF.haze.1 (hL _) hg2
69
- have hR := boothseek b _ (g.H j) F (hg.baseline j) hE (fun i=>(h1 i).1)
70
- have hR' := boothseek b _ (g.H k) H (hg.baseline k) hE (fun i=>(h1' i).1)
71
- have hG: rich C:= plenitude hF.soft hA hB1 ht0.hG P Q hR hR' (trimBeta_pos ..) hp.pos
72
- hp.sturdyR (hk0 _) (hk0 _)
73
- obtain ⟨E,hE0,hr⟩:=stable C hG
74
- obtain ⟨y,hy⟩:= issueTicket X Z s v j k h.strength.part hX.1 hZ.1 hv hS
75
- let U0:=v.mails j k y
76
- have hQ': x.c.compatible x.α (glint p (m' X)) (cardTone m' X U0,cardTone m' Z
77
- (reciprocal p U0)) := by
78
- change glint p _=_ at h3
79
- have he1 l: cardTone m' X U0 l=(quench p (delta m') (X,Z)).1 l:=
80
- (fitsTone m' X hy.2.2 he l).trans (actualTone m' X Z l)
81
- have he2 l:cardTone m' Z (reciprocal p U0) l=(quench p (delta m') (X,Z)).2 l:= by
82
- have hg := fits_recip hy.2.2; rw [reciprocal_actual] at hg
83
- exact (fitsTone m' Z hg he' l).trans (actualTone m' Z X l)
84
- rw [funext he1,funext he2,h3]; exact hC
85
- have hc: countStory p K η δ ε β D:=⟨hF.soft,(trimBeta_pos ..).le,hε.le,hp.pos.le,
86
- hp.book,hp.low⟩
87
- have hv : Γ.colored D X0 X1 P Q (2*ε):= by
88
- constructor
89
- · exact crew_praise p x.c Y f (fun i=>x.g i n) x.α τ hh (m n) t T m' X F P le_sup_right
90
- hP hε.le hF.haze.2 hE hn (fun i j hj k f=>(h2 i j hj k f).trans hz) h4 hg1
91
- exact crew_praise p x.c Y f (fun i=>x.g i n) x.α τ hh (m n) u S m' Z H Q le_sup_right
92
- hQ hε.le hF.haze.2 hE hn (fun i j hj k f=>(h2' i j hj k f).trans hz) h4' hg2
93
- have hZ0 := laysScore p K Y (m n) D X Z m' (toRates d) (toRates e) t u x.c Γ P Q
94
- E η ε β δ τ hP hQ (paintChorus _ _ f _ x.α τ hh T S) (by linarith only [hε,ht]) hT hc
95
- hA hB1 hv (hk0 _) (hk0 _) ht0.hG ht hR hR' hE0 U0 (h3.trans h3'.symm) hQ' hG
96
- exact inform (w n) v _ Y i.1 i.2 hX.2.2.1 hZ.2.2.1 hX.2.2.2 hZ.2.2.2 d e (hg.charts _)
97
- (hg.charts _) hB A B (hg.baseline _) (hg.baseline _) P Q le_sup_left le_sup_left ht0.hG
98
- hE.jump hp.pos y hy E hr hZ0
99
-
100
- end StatusAnalysis
101
- end HadwigerCounterexample
102
-
103
- end
104
-
105
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PredictionClassBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Compatible Pair Tests -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Function Module LinearMap Matrix
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ namespace StatusAnalysis
13
+ open PreparationParameters Station PredictionClass Club Guild DualAnalysis
14
+ variable {p:Shape} {n N M r s0:ℕ}
15
+ {w:rhythms p M} {b:PreparationParameters}
16
+
17
+ set_option maxHeartbeats 1800000 in
18
+ theorem foretold (w:rhythms p M) (m:cycleM p) (x:Sketch p M)
19
+ (v:Station p n (M*n) b.pins (w n)) (hv:v.bank)
20
+ (U:Wgt (UnitType p n (M*n))) (h:Lead U (w n) (m n) b)
21
+ (hE:AnalyticParameters p M b s0)
22
+ (hm:(w n).within (engrave x b m w n))
23
+ (hn:2*p.r≤n) (Y:Silhouette p (M*n) r) (f:Bool→Pulsar p r)
24
+ {τ ε δ η a d0:ℝ} (hh: hue x.c Y f (fun i=>x.g i n) x.α τ)
25
+ (hε:0<ε) (hp:Jubilee p b.pins ε η)
26
+ (hB:supportBudget p b.pins η a)
27
+ (hz:x.ε n ≤scanPrice p*ε) (ht:10*ε≤τ) (hT:2*τ<1)
28
+ (hF:Beams b (m n) Y (w n) U v a ε δ d0) (i : ViewPair p n (M*n) (w n))
29
+ (hx:cirque (w n) U i ≠0)
30
+ (hg1:gauze p δ δ Y (m n) b.pins i.1.2) (hg2:gauze p δ δ Y (m n) b.pins i.2.2)
31
+ (hC:matchProg x n (i.1.2,i.2.2))
32
+ (hS:secureAt p (w n).rooting (i.1.2,i.2.2)) :
33
+ eligiblePair v (m n) i.1 i.2 Y a := by
34
+ classical
35
+ let s:=w n; let μ:= U; let K:=b.pins
36
+ let X:=i.1.2; let Z:=i.2.2
37
+ let j:=i.1.1; let k:=i.2.1
38
+ let L:=troupe s μ
39
+ have hs : L i.1≠0:=left_ne_zero_of_mul hx
40
+ have hl : L i.2 ≠0:=right_ne_zero_of_mul hx
41
+ have hX := troupe_home h i.1 hs
42
+ have hZ:= troupe_home h i.2 hl
43
+ have hL i:= (h.strength.leaf _ (Subtype.prop (show s.T from i))).bound
44
+ obtain ⟨g,hg⟩:= ready_loupe s v hv hE hL
45
+ let d:= g.r j; let e:=g.r k
46
+ let t:=v.cAxes j (toRates d); let u:=v.cAxes k (toRates e)
47
+ let A:=g.H j; let B:=g.H k
48
+ let m':=x.m n
49
+ let F:=x.L n X; let H:=x.L n Z
50
+ let P:= A⊔F; let Q:=B⊔ H
51
+ obtain ⟨⟨h1,h2⟩,h3,h4⟩:=hm _ j.property X hX.1
52
+ obtain ⟨⟨h1',h2'⟩,h3',h4'⟩:=hm _ k.property Z hZ.1
53
+ let M0:=s.pin j.val; let M1:=s.pin k.val
54
+ have he (i):m' X i∈ effective M0.sp i:= (hX.2.1 ▸ (h1 i).2)
55
+ have he' i:m' Z i∈effective M1.sp i:= (hZ.2.1 ▸ (h1' i).2)
56
+ choose T hP using fun i=> show m' X i∈LinearMap.range (t i) from
57
+ (hg.charts j i).1.symm ▸ he i
58
+ choose S hQ using fun i=> show m' Z i∈ LinearMap.range (u i) from
59
+ (hg.charts k i).1.symm ▸ he' i
60
+ let Γ:PredictionData p (toRates d) (toRates e) r := ⟨x.α,f,T,S⟩
61
+ have ht0:= hE.enter.first
62
+ let M' := m n
63
+ let D:=wisp p Y; let X0:=wake p Y M' X t; let X1:=wake p Y M' Z u
64
+ let β:=trimBeta p K
65
+ let C:=stellar D X0 X1 η P Q
66
+ have hk0 i t:=Nat.lt_succ_iff.mp (g.r i t).isLt
67
+ have hA: reports p r D X0 β δ:=routeLive s g v hg M' hE hn i.1 Y δ hF.haze.1 (hL _) hg1
68
+ have hB1: reports p r D X1 β δ:=routeLive s g v hg M' hE hn i.2 Y δ hF.haze.1 (hL _) hg2
69
+ have hR := boothseek b _ (g.H j) F (hg.baseline j) hE (fun i=>(h1 i).1)
70
+ have hR' := boothseek b _ (g.H k) H (hg.baseline k) hE (fun i=>(h1' i).1)
71
+ have hG: rich C:= plenitude hF.soft hA hB1 ht0.hG P Q hR hR' (trimBeta_pos ..) hp.pos
72
+ hp.sturdyR (hk0 _) (hk0 _)
73
+ obtain ⟨E,hE0,hr⟩:=stable C hG
74
+ obtain ⟨y,hy⟩:= issueTicket X Z s v j k h.strength.part hX.1 hZ.1 hv hS
75
+ let U0:=v.mails j k y
76
+ have hQ': x.c.compatible x.α (glint p (m' X)) (cardTone m' X U0,cardTone m' Z
77
+ (reciprocal p U0)) := by
78
+ change glint p _=_ at h3
79
+ have he1 l: cardTone m' X U0 l=(quench p (delta m') (X,Z)).1 l:=
80
+ (fitsTone m' X hy.2.2 he l).trans (actualTone m' X Z l)
81
+ have he2 l:cardTone m' Z (reciprocal p U0) l=(quench p (delta m') (X,Z)).2 l:= by
82
+ have hg := fits_recip hy.2.2; rw [reciprocal_actual] at hg
83
+ exact (fitsTone m' Z hg he' l).trans (actualTone m' Z X l)
84
+ rw [funext he1,funext he2,h3]; exact hC
85
+ have hc: countStory p K η δ ε β D:=⟨hF.soft,(trimBeta_pos ..).le,hε.le,hp.pos.le,
86
+ hp.book,hp.low⟩
87
+ have hv : Γ.colored D X0 X1 P Q (2*ε):= by
88
+ constructor
89
+ · exact crew_praise p x.c Y f (fun i=>x.g i n) x.α τ hh (m n) t T m' X F P le_sup_right
90
+ hP hε.le hF.haze.2 hE hn (fun i j hj k f=>(h2 i j hj k f).trans hz) h4 hg1
91
+ exact crew_praise p x.c Y f (fun i=>x.g i n) x.α τ hh (m n) u S m' Z H Q le_sup_right
92
+ hQ hε.le hF.haze.2 hE hn (fun i j hj k f=>(h2' i j hj k f).trans hz) h4' hg2
93
+ have hZ0 := laysScore p K Y (m n) D X Z m' (toRates d) (toRates e) t u x.c Γ P Q
94
+ E η ε β δ τ hP hQ (paintChorus _ _ f _ x.α τ hh T S) (by linarith only [hε,ht]) hT hc
95
+ hA hB1 hv (hk0 _) (hk0 _) ht0.hG ht hR hR' hE0 U0 (h3.trans h3'.symm) hQ' hG
96
+ exact inform (w n) v _ Y i.1 i.2 hX.2.2.1 hZ.2.2.1 hX.2.2.2 hZ.2.2.2 d e (hg.charts _)
97
+ (hg.charts _) hB A B (hg.baseline _) (hg.baseline _) P Q le_sup_left le_sup_left ht0.hG
98
+ hE.jump hp.pos y hy E hr hZ0
99
+
100
+ end StatusAnalysis
101
+ end HadwigerCounterexample
102
+
103
+ end
104
+
105
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CompatibleTableEvents.lean CHANGED
@@ -1,149 +1,149 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RareTestEvents
2
-
3
- namespace OAI
4
-
5
- /-! # Compatible Table Events -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix LinearMap Function
10
- open scoped BigOperators Topology
11
- open Template
12
- namespace StatusAnalysis
13
- open PreparationParameters PredictionClass
14
-
15
- variable {p:Shape} {n M K s0 N :ℕ} {w:LeafMixture p n N} {q:PreparationParameters}
16
-
17
- structure Settled (t: LeafMixture p n N) (m:Mixer p n) (q:PreparationParameters)
18
- (U : Wgt (UnitType p n N)) (z:BMark p n N) (k:F) : Prop where
19
- readyC :
20
- IsLaw U ∧ t.strength U (usual p m N) q.leafNew (2*q.ζ) q.pins ∧
21
- t.within (fun o=>frameSide p m o ∧ exactInk p m z o ∧
22
- (∀ i,z o i∈effective (t.rooting o) i) ∧ glint p (z o)=k)
23
- hard : q.hardened p N t z
24
-
25
- def shimmer (z:BMark p n N) (r:F) (x:UnitType p n N× UnitType p n N) :=
26
- quench p (delta z) x=repeatQ r
27
-
28
- variable (v: Station p n N q.pins w) (i j:w.T)
29
- (U:Wgt (UnitType p n N)) (m:Mixer p n) (z:BMark p n N)
30
-
31
- private theorem chartKnown {r : F} (q:PreparationParameters) (x:w.T) (d: Stakes q.pins)
32
- (hw:Settled w m q U z r)
33
- {v : Charts p n (toRates d)} (hc:charted v (w.pin x.val).sp)
34
- (o : UnitType p n N) (hx:o∈x.val) :
35
- (∀ i,totalRank (z o i)≤ q.pins) ∧ ∃ y,∀ i∈x.val,coordSpec z i v y := by
36
- obtain ⟨h1,h2,h3⟩:=hw.readyC
37
- let A:=(w.pin x.val).sp
38
- have hi j : z o j∈effective A j := by
39
- have hh : w.rooting o=A:=congrArg Pin.sp (LeafMixture.poller_eq w h2.part x.property hx)
40
- rw [←hh]; exact (h3 x.val x.property o hx).2.2.1 j
41
- obtain ⟨T,hK,hB,hG⟩:=hw.hard
42
- obtain ⟨b,hb,hf⟩:=hG x.val x.property
43
- choose y hy using fun j=> show z o j∈LinearMap.range (v j) from (hc j).1.symm ▸ hi j
44
- refine ⟨fun i=>(effective_rank (hi i)).trans (h2.leaf x.val x.property).bound,y,
45
- fun i hh j=>?_⟩
46
- exact (hy j).trans (congr_fun (hb.2.2 _ hx _ hh).1 j)
47
-
48
- set_option maxHeartbeats 1800000 in
49
- theorem invoke (k:Fin (2^deckMax p q.pins))
50
- (r:F) (a:ℝ) (hα:0<a) (h:AnalyticParameters p M q s0)
51
- (hw:Settled w m q U z r) (ht:v.bank)
52
- (hk:2*a ≤ pr (pairW (partW U i.val) (partW U j.val))
53
- (fun x=> shimmer z r x∧ berthTicket (w.pin i.val) (w.pin j.val) (v.mails i j k) x)) :
54
- ∃ x:Scrip p q.pins, v.charter x.2.2 m x.2.1 U a (i,j) := by
55
- classical
56
- let K:=q.pins
57
- let T:=v.mails i j k
58
- have hq:=h.enter.first
59
- let a0:= w.pin i.val; let b0:= w.pin j.val
60
- let μ i:=partW U (Subtype.val (show w.T from i))
61
- let S:=pairW (μ i) (μ j)
62
- obtain ⟨hm,hv,hC⟩:=hw.readyC
63
- have hu x:=show IsLaw (μ x) from on_law hm.nz (hv.leaf x.val x.property).pos
64
- have hμ: IsLaw S:= pairW_law (hu _) (hu _)
65
- have hK x : planRank (w.pin (Subtype.val (show w.T from x))).sp ≤ K :=
66
- (hv.leaf _ (Subtype.prop x)).bound
67
- obtain ⟨f,hF⟩:=sizedCharts q.pins w v ht i (hK i)
68
- obtain ⟨g,hG⟩:=sizedCharts q.pins w v ht j (hK j)
69
- let A:= toRates f; let B:=toRates g; let X:=v.cAxes i A; let Y:=v.cAxes j B
70
- let P x:= shimmer z r x∧ berthTicket a0 b0 T x
71
- obtain ⟨o,⟨hop,hOK⟩,ho⟩:= exists_of_pr_pos hμ.nz (lt_of_lt_of_le
72
- (show 0<2*a by positivity) hk)
73
- let x:=o.1; let y:=o.2
74
- have hcol i x (hx:μ i x≠0) : x∈ i.val := (onW_ne hx).1
75
- have hx : x∈ i.val:= hcol i x (left_ne_zero_of_mul ho.ne')
76
- have hy : y∈ j.val:= hcol j y (right_ne_zero_of_mul ho.ne')
77
- obtain ⟨hχ,l,hl⟩:= chartKnown (v:=X) U m z q i f hw hF x hx
78
- obtain ⟨hξ,t,ht'⟩:= chartKnown (v:=Y) U m z q j g hw hG y hy
79
- have he (i : w.T) x (hx:x∈ i.val) : ∀ j,z x j∈effective (w.pin i.val).sp j := by
80
- have hi : w.rooting x=(w.pin i.val).sp:=congrArg Pin.sp (LeafMixture.poller_eq w hv.part i.property hx)
81
- rw [← hi]; exact (hC _ i.property _ hx).2.2.1
82
- let kappa : Tag p.g:= ⟨0,by linarith only [hq.hG]⟩
83
- let tt : Tagging p (Messenger singles):=fun _=>kappa
84
- let ref := show Messenger singles→F from fun _=>1
85
- obtain ⟨E,h1,h2,h3⟩:= generic_summary p hq.hG kappa 1 0
86
- obtain ⟨H,h4,h5,h6⟩:= generic_summary p hq.hG kappa 1 1
87
- obtain ⟨L,hLa⟩:= buildBooths K a0.sp (hK i) h.penRoom
88
- obtain ⟨O,hLb⟩:= buildBooths K b0.sp (hK j) h.penRoom
89
- have hh : 2*frameBills p.g K+4 ≤ Fintype.card (Label p.b) := by
90
- have hl : frameBills p.g K + 1000 ≤ q.B:=h.forbid
91
- have he:= h.spare; omega
92
- obtain ⟨J,hJ,hJ'⟩:= fourPens _ K L hLa hh
93
- obtain ⟨I,hI,hI'⟩:= fourPens _ K O hLb hh
94
- let F0:Fabric p singles A true:=⟨J,fun _ => Flavor.full,beacon p X l true T E⟩
95
- let T':= reciprocal p T
96
- let G0:Fabric p singles B false:=⟨I,fun _=> Flavor.full,beacon p Y t false T' H⟩
97
- have hs : speak A B (sendSum ref F0.amp G0.amp)=(hailing p X Y T,0) := by
98
- apply (spoken X Y T ref F0.amp G0.amp).mpr
99
- have hFq a : fullq ref a=1 := by
100
- unfold fullq
101
- change (∑ _:Fin 1,(1:F))=1; rw [Fintype.sum_unique]
102
- have hR : rhyme F0.amp G0.amp := by
103
- intro i; have hf : (funds F0.amp i).1.1=E.diagO := congrArg (fun x=> x.1.1) (funds_one F0 i)
104
- have hg : (funds G0.amp i).1.1=H.diagO := congrArg (fun x=> x.1.1) (funds_one G0 i)
105
- change (funds (b:=true) F0.amp i).1.1+(funds (b:=false) G0.amp i).1.1=_; rw [hf,hg,h3,h6,zero_add]
106
- refine ⟨hFq,hR, stillBeacon z x X l true T E (hl _ hx) (fun k=>?_),stillBeacon z y Y t false
107
- T' H (ht' _ hy) (fun k=>?_)⟩
108
- · rw [fitsTone z x hOK.2.2 (he _ _ hx), actualTone,(hC _ i.property _ hx).2.2.2]
109
- exact congr_fun (congrArg Prod.fst hop) k
110
- have hg:=fits_recip hOK.2.2; rw [reciprocal_actual] at hg
111
- rw [fitsTone z y hg (he _ _ hy), actualTone,(hC _ j.property _ hy).2.2.2]
112
- exact congr_fun (congrArg Prod.snd hop) k
113
- obtain ⟨P0,Q0,hf⟩:= optionVia singles A B a0 b0 T K hOK.1 hOK.2.1 tt X Y hF hG F0 G0 L O hLa hLb
114
- (fun i=>hJ' i _) (fun i=> hI' i _) ref ⟨hJ,fun i=>h2,fun i=>h1⟩
115
- ⟨hI,fun i=>h5,fun i=>h4⟩ h.jump (by linarith only [hq.hG]) singles_short hs
116
- let τ:Typus p singles A B:= ⟨tt,ref,F0.hang P0,G0.hang Q0⟩
117
- let Front:=v.frontPage τ m i j k; let Back:=v.backPage τ m i j k
118
- have hi a (ha:a∈ i.val): a0.agree a := (hv.leaf _ i.property).fixpin _ ha
119
- have hi' a (ha:a∈ j.val): b0.agree a := (hv.leaf _ j.property).fixpin _ ha
120
- have hm : 2*a≤ (pr (μ i) Front)*(pr (μ j) Back) := by
121
- rw [←pairW_pr]
122
- apply hk.trans
123
- refine pr_on_mono hμ.nz (fun x hx he=>?_)
124
- have h1 := hcol i x.1 (left_ne_zero_of_mul hx)
125
- have h2 := hcol j x.2 (right_ne_zero_of_mul hx)
126
- obtain ⟨ha,hb⟩:= berth_flags a0 b0 T he.2 (hi _ h1) (hi' _ h2)
127
- exact ⟨⟨hf,hi _ h1,(hC _ i.property x.1 h1).1, ha⟩,
128
- ⟨hf,hi' _ h2,(hC _ j.property _ h2).1,hb⟩⟩
129
- refine ⟨⟨(volume1,f,g),k,show OnFile p _ from τ⟩,hf.1,⟨?_,fun o ho hx=>?_⟩,
130
- ⟨?_,fun o ho hx=>?_⟩⟩
131
- · exact hm.trans ((mul_le_mul_of_nonneg_left ((pr_le_tot (hu _).nz).trans (hu j).total.le)
132
- (pr_nonneg (hu _).nz)).trans_eq (mul_one _))
133
- · have hv := hcol i o hx
134
- exact steadyBeacon z o X l true T τ.qA tt m E K
135
- (fun x=> Nat.lt_succ_iff.mp (f x).isLt) rfl (hK i) hF (hl _ hv) ho.2.2.1
136
- (hC _ i.property _ hv).2.1
137
- · exact hm.trans ((mul_le_mul_of_nonneg_right ((pr_le_tot (hu _).nz).trans (hu i).total.le)
138
- (pr_nonneg (hu _).nz)).trans_eq (one_mul _))
139
- have hv:=hcol j o hx
140
- exact steadyBeacon z o Y t false T' τ.qB tt m H K
141
- (fun x=> Nat.lt_succ_iff.mp (g x).isLt) rfl (hK j) hG (ht' _ hv) ho.2.2.1
142
- (hC _ j.property _ hv).2.1
143
-
144
- end StatusAnalysis
145
- end HadwigerCounterexample
146
-
147
- end
148
-
149
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RareTestEvents
2
+
3
+ namespace OAI
4
+
5
+ /-! # Compatible Table Events -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix LinearMap Function
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ namespace StatusAnalysis
13
+ open PreparationParameters PredictionClass
14
+
15
+ variable {p:Shape} {n M K s0 N :ℕ} {w:LeafMixture p n N} {q:PreparationParameters}
16
+
17
+ structure Settled (t: LeafMixture p n N) (m:Mixer p n) (q:PreparationParameters)
18
+ (U : Wgt (UnitType p n N)) (z:BMark p n N) (k:F) : Prop where
19
+ readyC :
20
+ IsLaw U ∧ t.strength U (usual p m N) q.leafNew (2*q.ζ) q.pins ∧
21
+ t.within (fun o=>frameSide p m o ∧ exactInk p m z o ∧
22
+ (∀ i,z o i∈effective (t.rooting o) i) ∧ glint p (z o)=k)
23
+ hard : q.hardened p N t z
24
+
25
+ def shimmer (z:BMark p n N) (r:F) (x:UnitType p n N× UnitType p n N) :=
26
+ quench p (delta z) x=repeatQ r
27
+
28
+ variable (v: Station p n N q.pins w) (i j:w.T)
29
+ (U:Wgt (UnitType p n N)) (m:Mixer p n) (z:BMark p n N)
30
+
31
+ private theorem chartKnown {r : F} (q:PreparationParameters) (x:w.T) (d: Stakes q.pins)
32
+ (hw:Settled w m q U z r)
33
+ {v : Charts p n (toRates d)} (hc:charted v (w.pin x.val).sp)
34
+ (o : UnitType p n N) (hx:o∈x.val) :
35
+ (∀ i,totalRank (z o i)≤ q.pins) ∧ ∃ y,∀ i∈x.val,coordSpec z i v y := by
36
+ obtain ⟨h1,h2,h3⟩:=hw.readyC
37
+ let A:=(w.pin x.val).sp
38
+ have hi j : z o j∈effective A j := by
39
+ have hh : w.rooting o=A:=congrArg Pin.sp (LeafMixture.poller_eq w h2.part x.property hx)
40
+ rw [←hh]; exact (h3 x.val x.property o hx).2.2.1 j
41
+ obtain ⟨T,hK,hB,hG⟩:=hw.hard
42
+ obtain ⟨b,hb,hf⟩:=hG x.val x.property
43
+ choose y hy using fun j=> show z o j∈LinearMap.range (v j) from (hc j).1.symm ▸ hi j
44
+ refine ⟨fun i=>(effective_rank (hi i)).trans (h2.leaf x.val x.property).bound,y,
45
+ fun i hh j=>?_⟩
46
+ exact (hy j).trans (congr_fun (hb.2.2 _ hx _ hh).1 j)
47
+
48
+ set_option maxHeartbeats 1800000 in
49
+ theorem invoke (k:Fin (2^deckMax p q.pins))
50
+ (r:F) (a:ℝ) (hα:0<a) (h:AnalyticParameters p M q s0)
51
+ (hw:Settled w m q U z r) (ht:v.bank)
52
+ (hk:2*a ≤ pr (pairW (partW U i.val) (partW U j.val))
53
+ (fun x=> shimmer z r x∧ berthTicket (w.pin i.val) (w.pin j.val) (v.mails i j k) x)) :
54
+ ∃ x:Scrip p q.pins, v.charter x.2.2 m x.2.1 U a (i,j) := by
55
+ classical
56
+ let K:=q.pins
57
+ let T:=v.mails i j k
58
+ have hq:=h.enter.first
59
+ let a0:= w.pin i.val; let b0:= w.pin j.val
60
+ let μ i:=partW U (Subtype.val (show w.T from i))
61
+ let S:=pairW (μ i) (μ j)
62
+ obtain ⟨hm,hv,hC⟩:=hw.readyC
63
+ have hu x:=show IsLaw (μ x) from on_law hm.nz (hv.leaf x.val x.property).pos
64
+ have hμ: IsLaw S:= pairW_law (hu _) (hu _)
65
+ have hK x : planRank (w.pin (Subtype.val (show w.T from x))).sp ≤ K :=
66
+ (hv.leaf _ (Subtype.prop x)).bound
67
+ obtain ⟨f,hF⟩:=sizedCharts q.pins w v ht i (hK i)
68
+ obtain ⟨g,hG⟩:=sizedCharts q.pins w v ht j (hK j)
69
+ let A:= toRates f; let B:=toRates g; let X:=v.cAxes i A; let Y:=v.cAxes j B
70
+ let P x:= shimmer z r x∧ berthTicket a0 b0 T x
71
+ obtain ⟨o,⟨hop,hOK⟩,ho⟩:= exists_of_pr_pos hμ.nz (lt_of_lt_of_le
72
+ (show 0<2*a by positivity) hk)
73
+ let x:=o.1; let y:=o.2
74
+ have hcol i x (hx:μ i x≠0) : x∈ i.val := (onW_ne hx).1
75
+ have hx : x∈ i.val:= hcol i x (left_ne_zero_of_mul ho.ne')
76
+ have hy : y∈ j.val:= hcol j y (right_ne_zero_of_mul ho.ne')
77
+ obtain ⟨hχ,l,hl⟩:= chartKnown (v:=X) U m z q i f hw hF x hx
78
+ obtain ⟨hξ,t,ht'⟩:= chartKnown (v:=Y) U m z q j g hw hG y hy
79
+ have he (i : w.T) x (hx:x∈ i.val) : ∀ j,z x j∈effective (w.pin i.val).sp j := by
80
+ have hi : w.rooting x=(w.pin i.val).sp:=congrArg Pin.sp (LeafMixture.poller_eq w hv.part i.property hx)
81
+ rw [← hi]; exact (hC _ i.property _ hx).2.2.1
82
+ let kappa : Tag p.g:= ⟨0,by linarith only [hq.hG]⟩
83
+ let tt : Tagging p (Messenger singles):=fun _=>kappa
84
+ let ref := show Messenger singles→F from fun _=>1
85
+ obtain ⟨E,h1,h2,h3⟩:= generic_summary p hq.hG kappa 1 0
86
+ obtain ⟨H,h4,h5,h6⟩:= generic_summary p hq.hG kappa 1 1
87
+ obtain ⟨L,hLa⟩:= buildBooths K a0.sp (hK i) h.penRoom
88
+ obtain ⟨O,hLb⟩:= buildBooths K b0.sp (hK j) h.penRoom
89
+ have hh : 2*frameBills p.g K+4 ≤ Fintype.card (Label p.b) := by
90
+ have hl : frameBills p.g K + 1000 ≤ q.B:=h.forbid
91
+ have he:= h.spare; omega
92
+ obtain ⟨J,hJ,hJ'⟩:= fourPens _ K L hLa hh
93
+ obtain ⟨I,hI,hI'⟩:= fourPens _ K O hLb hh
94
+ let F0:Fabric p singles A true:=⟨J,fun _ => Flavor.full,beacon p X l true T E⟩
95
+ let T':= reciprocal p T
96
+ let G0:Fabric p singles B false:=⟨I,fun _=> Flavor.full,beacon p Y t false T' H⟩
97
+ have hs : speak A B (sendSum ref F0.amp G0.amp)=(hailing p X Y T,0) := by
98
+ apply (spoken X Y T ref F0.amp G0.amp).mpr
99
+ have hFq a : fullq ref a=1 := by
100
+ unfold fullq
101
+ change (∑ _:Fin 1,(1:F))=1; rw [Fintype.sum_unique]
102
+ have hR : rhyme F0.amp G0.amp := by
103
+ intro i; have hf : (funds F0.amp i).1.1=E.diagO := congrArg (fun x=> x.1.1) (funds_one F0 i)
104
+ have hg : (funds G0.amp i).1.1=H.diagO := congrArg (fun x=> x.1.1) (funds_one G0 i)
105
+ change (funds (b:=true) F0.amp i).1.1+(funds (b:=false) G0.amp i).1.1=_; rw [hf,hg,h3,h6,zero_add]
106
+ refine ⟨hFq,hR, stillBeacon z x X l true T E (hl _ hx) (fun k=>?_),stillBeacon z y Y t false
107
+ T' H (ht' _ hy) (fun k=>?_)⟩
108
+ · rw [fitsTone z x hOK.2.2 (he _ _ hx), actualTone,(hC _ i.property _ hx).2.2.2]
109
+ exact congr_fun (congrArg Prod.fst hop) k
110
+ have hg:=fits_recip hOK.2.2; rw [reciprocal_actual] at hg
111
+ rw [fitsTone z y hg (he _ _ hy), actualTone,(hC _ j.property _ hy).2.2.2]
112
+ exact congr_fun (congrArg Prod.snd hop) k
113
+ obtain ⟨P0,Q0,hf⟩:= optionVia singles A B a0 b0 T K hOK.1 hOK.2.1 tt X Y hF hG F0 G0 L O hLa hLb
114
+ (fun i=>hJ' i _) (fun i=> hI' i _) ref ⟨hJ,fun i=>h2,fun i=>h1⟩
115
+ ⟨hI,fun i=>h5,fun i=>h4⟩ h.jump (by linarith only [hq.hG]) singles_short hs
116
+ let τ:Typus p singles A B:= ⟨tt,ref,F0.hang P0,G0.hang Q0⟩
117
+ let Front:=v.frontPage τ m i j k; let Back:=v.backPage τ m i j k
118
+ have hi a (ha:a∈ i.val): a0.agree a := (hv.leaf _ i.property).fixpin _ ha
119
+ have hi' a (ha:a∈ j.val): b0.agree a := (hv.leaf _ j.property).fixpin _ ha
120
+ have hm : 2*a≤ (pr (μ i) Front)*(pr (μ j) Back) := by
121
+ rw [←pairW_pr]
122
+ apply hk.trans
123
+ refine pr_on_mono hμ.nz (fun x hx he=>?_)
124
+ have h1 := hcol i x.1 (left_ne_zero_of_mul hx)
125
+ have h2 := hcol j x.2 (right_ne_zero_of_mul hx)
126
+ obtain ⟨ha,hb⟩:= berth_flags a0 b0 T he.2 (hi _ h1) (hi' _ h2)
127
+ exact ⟨⟨hf,hi _ h1,(hC _ i.property x.1 h1).1, ha⟩,
128
+ ⟨hf,hi' _ h2,(hC _ j.property _ h2).1,hb⟩⟩
129
+ refine ⟨⟨(volume1,f,g),k,show OnFile p _ from τ⟩,hf.1,⟨?_,fun o ho hx=>?_⟩,
130
+ ⟨?_,fun o ho hx=>?_⟩⟩
131
+ · exact hm.trans ((mul_le_mul_of_nonneg_left ((pr_le_tot (hu _).nz).trans (hu j).total.le)
132
+ (pr_nonneg (hu _).nz)).trans_eq (mul_one _))
133
+ · have hv := hcol i o hx
134
+ exact steadyBeacon z o X l true T τ.qA tt m E K
135
+ (fun x=> Nat.lt_succ_iff.mp (f x).isLt) rfl (hK i) hF (hl _ hv) ho.2.2.1
136
+ (hC _ i.property _ hv).2.1
137
+ · exact hm.trans ((mul_le_mul_of_nonneg_right ((pr_le_tot (hu _).nz).trans (hu i).total.le)
138
+ (pr_nonneg (hu _).nz)).trans_eq (one_mul _))
139
+ have hv:=hcol j o hx
140
+ exact steadyBeacon z o Y t false T' τ.qB tt m H K
141
+ (fun x=> Nat.lt_succ_iff.mp (g x).isLt) rfl (hK j) hG (ht' _ hv) ho.2.2.1
142
+ (hC _ j.property _ hv).2.1
143
+
144
+ end StatusAnalysis
145
+ end HadwigerCounterexample
146
+
147
+ end
148
+
149
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ComponentIndices.lean CHANGED
@@ -1,115 +1,115 @@
1
- import Mathlib.Algebra.Group.Fin.Basic
2
- import Mathlib.Data.Fintype.Card
3
- import Mathlib.Data.Fintype.Prod
4
-
5
- namespace OAI
6
-
7
- /-! # Component Indices -/
8
-
9
- noncomputable section
10
- namespace HadwigerCounterexample
11
-
12
- abbrev Tag := Fin
13
- abbrev Comp (g : ℕ) := { p : Tag g × Tag g // p.1 < p.2 }
14
-
15
- variable {g : ℕ}
16
-
17
- def edge (l d : Tag g) (h : l ≠ d) : Comp g :=
18
- if hl : l < d then ⟨(l,d),hl⟩ else ⟨(d,l),lt_of_le_of_ne (le_of_not_gt hl) h.symm⟩
19
-
20
- theorem edge_eq {l d : Tag g} (h : l < d) : edge l d (ne_of_lt h) = ⟨(l,d),h⟩ := by
21
- simp [edge,h]
22
-
23
- theorem edge_symm {l d : Tag g} (h : l ≠ d) : edge l d h = edge d l h.symm := by
24
- rcases lt_or_gt_of_ne h with e|e
25
- · simp [edge,e,not_lt.mpr e.le]
26
- · simp [edge,e,not_lt.mpr e.le]
27
-
28
- def inc (e : Comp g) (l : Tag g) : Prop := e.val.1 = l ∨ e.val.2 = l
29
- instance (e : Comp g) (l : Tag g) : Decidable (inc e l) := inferInstanceAs (Decidable (_ ∨ _))
30
-
31
- theorem inc_edge_fst {l d : Tag g} (h : l ≠ d) : inc (edge l d h) l := by
32
- by_cases e : l < d <;> simp [inc,edge,e]
33
-
34
- theorem inc_edge_iff {l d x : Tag g} (h : l ≠ d) : inc (edge l d h) x ↔ (l=x ∨ d=x) := by
35
- by_cases e : l < d <;> simp [inc,edge,e,or_comm]
36
-
37
- abbrev TagStar (l : Tag g) := {e : Comp g // inc e l}
38
-
39
- def starEquiv (l : Tag g) : {d : Tag g // l ≠ d} ≃ TagStar l := by
40
- let f (d : {d : Tag g // l ≠ d}) : TagStar l := ⟨edge l d d.property,inc_edge_fst _⟩
41
- apply Equiv.ofBijective f
42
- constructor
43
- · intro i j h
44
- have hi : inc (edge l i i.property) i := (inc_edge_iff _).mpr (Or.inr rfl)
45
- change inc (f i).val i at hi
46
- rw [h] at hi
47
- exact Subtype.ext (((inc_edge_iff j.property).mp hi).resolve_left i.property).symm
48
- · rintro ⟨⟨⟨i,j⟩,hij⟩,he⟩
49
- rcases he with g|g
50
- · change i = l at g
51
- subst l
52
- refine ⟨⟨j,hij.ne⟩,Subtype.ext ?_⟩
53
- exact edge_eq hij
54
- · change j = l at g
55
- subst l
56
- refine ⟨⟨i,hij.ne.symm⟩,Subtype.ext ?_⟩
57
- dsimp only [f]
58
- rw [edge_symm,edge_eq hij]
59
-
60
- theorem card_star (l : Tag g) : Fintype.card (TagStar l) = g - 1 := by
61
- rw [← Fintype.card_congr (starEquiv l)]
62
- exact (Fintype.card_subtype_compl (fun d => l=d)).trans (by simp)
63
-
64
- /-- l in I_d. -/
65
- def allowed (d l : Tag g) :=
66
- 0 < (l-d).val ∧ (l-d).val ≤ (g-1)/2
67
-
68
- instance (d l : Tag g) : Decidable (allowed d l) :=
69
- inferInstanceAs (Decidable (_ ∧ _))
70
-
71
- theorem not_allowed (d : Tag g) : ¬allowed d d := by
72
- have : NeZero g := ⟨by have := d.isLt; omega⟩
73
- simp [allowed]
74
-
75
- theorem card_allowed (d : Tag g) : Fintype.card {l : Tag g // allowed d l} = (g-1)/2 := by
76
- have : NeZero g := ⟨by have := d.isLt; omega⟩
77
- let T := {l : Tag g // allowed d l}
78
- let f (i : Fin ((g-1)/2)) : Tag g := ⟨i.val+1,by have := i.isLt; omega⟩
79
- have hf (i) : allowed d (f i + d) := by
80
- have := i.isLt
81
- simp only [allowed,add_sub_cancel_right,f]
82
- omega
83
- let h : Fin ((g-1)/2) → T := fun i => ⟨f i + d,hf i⟩
84
- have hh : Function.Bijective h := by
85
- constructor
86
- · intro i j hij
87
- have he : f i = f j := add_right_cancel (congrArg Subtype.val hij)
88
- have he' := congrArg Fin.val he
89
- exact Fin.ext (Nat.add_right_cancel he')
90
- · intro l
91
- have hl := l.property
92
- unfold allowed at hl
93
- let i : Fin ((g-1)/2) := ⟨(l.val-d).val-1,by omega⟩
94
- have hi : f i = l.val-d := Fin.ext (by dsimp only [i,f]; omega)
95
- refine ⟨i,Subtype.ext ?_⟩
96
- change f i + d = _
97
- rw [hi,sub_add_cancel]
98
- simpa using (Fintype.card_congr (Equiv.ofBijective h hh)).symm
99
-
100
- theorem card_allowed' (l : Tag g) :
101
- Fintype.card {d : Tag g // allowed d l} = (g-1)/2 := by
102
- have : NeZero g := ⟨by have := l.isLt; omega⟩
103
- let h : {d : Tag g // allowed d l} ≃ {x : Tag g // allowed 0 x} := {
104
- toFun := fun d => ⟨l-d.val, by simpa only [allowed,sub_zero] using d.property⟩
105
- invFun := fun x => ⟨l-x.val, by simpa only [allowed,sub_sub_cancel,sub_zero] using
106
- x.property⟩
107
- left_inv := fun d => Subtype.ext (sub_sub_cancel _ _)
108
- right_inv := fun x => Subtype.ext (sub_sub_cancel _ _) }
109
- exact (Fintype.card_congr h).trans (card_allowed _)
110
-
111
- end HadwigerCounterexample
112
-
113
- end
114
-
115
- end OAI
 
1
+ import Mathlib.Algebra.Group.Fin.Basic
2
+ import Mathlib.Data.Fintype.Card
3
+ import Mathlib.Data.Fintype.Prod
4
+
5
+ namespace OAI
6
+
7
+ /-! # Component Indices -/
8
+
9
+ noncomputable section
10
+ namespace HadwigerCounterexample
11
+
12
+ abbrev Tag := Fin
13
+ abbrev Comp (g : ℕ) := { p : Tag g × Tag g // p.1 < p.2 }
14
+
15
+ variable {g : ℕ}
16
+
17
+ def edge (l d : Tag g) (h : l ≠ d) : Comp g :=
18
+ if hl : l < d then ⟨(l,d),hl⟩ else ⟨(d,l),lt_of_le_of_ne (le_of_not_gt hl) h.symm⟩
19
+
20
+ theorem edge_eq {l d : Tag g} (h : l < d) : edge l d (ne_of_lt h) = ⟨(l,d),h⟩ := by
21
+ simp [edge,h]
22
+
23
+ theorem edge_symm {l d : Tag g} (h : l ≠ d) : edge l d h = edge d l h.symm := by
24
+ rcases lt_or_gt_of_ne h with e|e
25
+ · simp [edge,e,not_lt.mpr e.le]
26
+ · simp [edge,e,not_lt.mpr e.le]
27
+
28
+ def inc (e : Comp g) (l : Tag g) : Prop := e.val.1 = l ∨ e.val.2 = l
29
+ instance (e : Comp g) (l : Tag g) : Decidable (inc e l) := inferInstanceAs (Decidable (_ ∨ _))
30
+
31
+ theorem inc_edge_fst {l d : Tag g} (h : l ≠ d) : inc (edge l d h) l := by
32
+ by_cases e : l < d <;> simp [inc,edge,e]
33
+
34
+ theorem inc_edge_iff {l d x : Tag g} (h : l ≠ d) : inc (edge l d h) x ↔ (l=x ∨ d=x) := by
35
+ by_cases e : l < d <;> simp [inc,edge,e,or_comm]
36
+
37
+ abbrev TagStar (l : Tag g) := {e : Comp g // inc e l}
38
+
39
+ def starEquiv (l : Tag g) : {d : Tag g // l ≠ d} ≃ TagStar l := by
40
+ let f (d : {d : Tag g // l ≠ d}) : TagStar l := ⟨edge l d d.property,inc_edge_fst _⟩
41
+ apply Equiv.ofBijective f
42
+ constructor
43
+ · intro i j h
44
+ have hi : inc (edge l i i.property) i := (inc_edge_iff _).mpr (Or.inr rfl)
45
+ change inc (f i).val i at hi
46
+ rw [h] at hi
47
+ exact Subtype.ext (((inc_edge_iff j.property).mp hi).resolve_left i.property).symm
48
+ · rintro ⟨⟨⟨i,j⟩,hij⟩,he⟩
49
+ rcases he with g|g
50
+ · change i = l at g
51
+ subst l
52
+ refine ⟨⟨j,hij.ne⟩,Subtype.ext ?_⟩
53
+ exact edge_eq hij
54
+ · change j = l at g
55
+ subst l
56
+ refine ⟨⟨i,hij.ne.symm⟩,Subtype.ext ?_⟩
57
+ dsimp only [f]
58
+ rw [edge_symm,edge_eq hij]
59
+
60
+ theorem card_star (l : Tag g) : Fintype.card (TagStar l) = g - 1 := by
61
+ rw [← Fintype.card_congr (starEquiv l)]
62
+ exact (Fintype.card_subtype_compl (fun d => l=d)).trans (by simp)
63
+
64
+ /-- l in I_d. -/
65
+ def allowed (d l : Tag g) :=
66
+ 0 < (l-d).val ∧ (l-d).val ≤ (g-1)/2
67
+
68
+ instance (d l : Tag g) : Decidable (allowed d l) :=
69
+ inferInstanceAs (Decidable (_ ∧ _))
70
+
71
+ theorem not_allowed (d : Tag g) : ¬allowed d d := by
72
+ have : NeZero g := ⟨by have := d.isLt; omega⟩
73
+ simp [allowed]
74
+
75
+ theorem card_allowed (d : Tag g) : Fintype.card {l : Tag g // allowed d l} = (g-1)/2 := by
76
+ have : NeZero g := ⟨by have := d.isLt; omega⟩
77
+ let T := {l : Tag g // allowed d l}
78
+ let f (i : Fin ((g-1)/2)) : Tag g := ⟨i.val+1,by have := i.isLt; omega⟩
79
+ have hf (i) : allowed d (f i + d) := by
80
+ have := i.isLt
81
+ simp only [allowed,add_sub_cancel_right,f]
82
+ omega
83
+ let h : Fin ((g-1)/2) → T := fun i => ⟨f i + d,hf i⟩
84
+ have hh : Function.Bijective h := by
85
+ constructor
86
+ · intro i j hij
87
+ have he : f i = f j := add_right_cancel (congrArg Subtype.val hij)
88
+ have he' := congrArg Fin.val he
89
+ exact Fin.ext (Nat.add_right_cancel he')
90
+ · intro l
91
+ have hl := l.property
92
+ unfold allowed at hl
93
+ let i : Fin ((g-1)/2) := ⟨(l.val-d).val-1,by omega⟩
94
+ have hi : f i = l.val-d := Fin.ext (by dsimp only [i,f]; omega)
95
+ refine ⟨i,Subtype.ext ?_⟩
96
+ change f i + d = _
97
+ rw [hi,sub_add_cancel]
98
+ simpa using (Fintype.card_congr (Equiv.ofBijective h hh)).symm
99
+
100
+ theorem card_allowed' (l : Tag g) :
101
+ Fintype.card {d : Tag g // allowed d l} = (g-1)/2 := by
102
+ have : NeZero g := ⟨by have := l.isLt; omega⟩
103
+ let h : {d : Tag g // allowed d l} ≃ {x : Tag g // allowed 0 x} := {
104
+ toFun := fun d => ⟨l-d.val, by simpa only [allowed,sub_zero] using d.property⟩
105
+ invFun := fun x => ⟨l-x.val, by simpa only [allowed,sub_sub_cancel,sub_zero] using
106
+ x.property⟩
107
+ left_inv := fun d => Subtype.ext (sub_sub_cancel _ _)
108
+ right_inv := fun x => Subtype.ext (sub_sub_cancel _ _) }
109
+ exact (Fintype.card_congr h).trans (card_allowed _)
110
+
111
+ end HadwigerCounterexample
112
+
113
+ end
114
+
115
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConcentrationScales.lean CHANGED
@@ -1,169 +1,169 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.DependentPairConcentration
2
-
3
- namespace OAI
4
-
5
- /-! # Concentration Scales -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
-
10
- open Matrix LinearMap Module Finset Filter Real Function
11
- open scoped BigOperators Topology
12
- variable {X : Type*}
13
-
14
- /-- pay slack for any fixed multiple of exponentially smaller term. -/
15
- theorem pay_nat {a b : ℝ} (c : ℝ) (hab : b < a) :
16
- ∀ᶠ n : ℕ in atTop,c * bp (-a*n) ≤ bp (-b*n) := by
17
- have h := (bp_tendsto (sub_pos.mpr hab)).comp (tendsto_natCast_atTop_atTop (R:=ℝ))
18
- filter_upwards [h.eventually (eventually_ge_atTop c)] with n hn
19
- change c ≤ bp ((a-b)*n) at hn
20
- refine (mul_le_mul_of_nonneg_right hn (bp_pos _).le).trans_eq ?_
21
- rw [← bp_add, show (a-b)*n + -a*n= -b*n by ring]
22
-
23
- theorem pay_div_nat {a b : ℝ} (c u : ℝ) (hu : 0 < u) (hab : b < a) :
24
- ∀ᶠ n : ℕ in atTop,c * bp (-a*n) ≤ u*bp (-b*n) := by
25
- filter_upwards [pay_nat (c/u) hab] with n hn
26
- calc _ = u*(c/u*bp (-a*n)) := by field_simp
27
- _ ≤ _ := mul_le_mul_of_nonneg_left hn hu.le
28
-
29
- theorem cast_tops (M : ℕ) (hM : 1≤M) :
30
- Tendsto (fun n : ℕ => (↑(M*n):ℝ)) atTop atTop := by
31
- simp_rw [Nat.cast_mul]; exact
32
- (tendsto_const_mul_atTop_of_pos (show 0<(M:ℝ) from by
33
- exact_mod_cast (show 0 < M from hM))).mpr tendsto_natCast_atTop_atTop
34
-
35
- variable {p : Shape} {M n N : ℕ}
36
- variable {I J K G A B : Type} [Fintype I] [Fintype J] [Fintype K] [Fintype G]
37
- variable [DecidableEq I] [DecidableEq J] [DecidableEq K] [DecidableEq G]
38
- variable [Fintype A] [Fintype B]
39
- variable {g : Route J G}
40
-
41
- omit [Fintype G] [DecidableEq J] in
42
- theorem port_limit (g : Route J G) (i : G) :
43
- num (Port g i) ≤ num J := by
44
- exact_mod_cast Fintype.card_subtype_le _
45
-
46
- namespace Program
47
- variable {s : Program p n g A}
48
-
49
- /-- empirical input-and-image law -/
50
- def makeData (s : Program p n g A) (w : Wgt A) (o : Forum p n N G) :
51
- Wgt (A×Rack J N) :=
52
- mapW w (fun x => (x,s.showKey x o))
53
- omit [Fintype G] [DecidableEq G] in
54
- theorem data_law (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
55
- (hw : IsLaw w) : IsLaw (s.makeData w o) := mapW_law hw _
56
- omit [Fintype G] [DecidableEq G] in
57
- theorem view_data (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
58
- (f : Wgt (A×Rack J N)) :
59
- avg (s.makeData w o) f=s.oexpect w (fun a b => f (a,b)) o := mapW_avg ..
60
- omit [Fintype G] [DecidableEq G] in
61
- theorem freq_data (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
62
- (P : A×Rack J N→Prop) :
63
- pr (s.makeData w o) P = oFreq w (fun a b => P (a,b)) o s := mapW_pr ..
64
-
65
- set_option maxHeartbeats 600000 in
66
- theorem variance_calendar (p : Shape) (M : ℕ) (g : Route J G)
67
- (r u : ℝ) (hu : 0 < u) (hM : 1≤M) :
68
- ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
69
- (A : Type) [Fintype A] (s : Program p n g A)
70
- (T : A→ Wgt (Rack J N)) (w : Wgt A), IsLaw w →
71
- (∀ x y, |T x y|≤1) →2*num (Full p n)<N →
72
- pr (draws Bool w) (fun x => ¬ s.free x) ≤ bp (r-n) →
73
- (let v := forumLaw m N
74
- let f := s.oexpect w T
75
- avg v (fun x => (f x-avg v f)^2)) ≤ u*bp (-(1/4:ℝ)*n) := by
76
- let t := tied g Bool
77
- let k := num (Bool×J)
78
- let b := 2*netFact t
79
- let c := num G* (2*bp k)+1
80
- filter_upwards [pay_div_nat (a:=1) (2*bp r) (u/2) (by positivity) (b:=1/4) (by norm_num),
81
- pay_div_nat (a:=1/2) (b*c) (u/2) (by positivity) (b:=1/4) (by norm_num),
82
- (cast_tops M hM).eventually (eventually_ge_atTop (2*k+1))]
83
- with n hn hh hk N m A _ s T w hw hT hN h
84
- change (2*k+1) ≤ (↑(M*n) : ℝ) at hk
85
- have he := oVar m hN T w hw hT k (fun i => port_limit _ i) (by linarith only [hk])
86
- (bp (r-n)) h
87
- apply he.trans
88
- subst N
89
- have hv : (n:ℝ) ≤ (M*n:ℕ) := by exact_mod_cast (show n ≤ M*n from by nlinarith)
90
- let P := bp (-(1/2:ℝ)*n)
91
- have ht : twinkle t k (M*n) ≤ c*P := by
92
- have hq : bp (k-(M*n:ℕ)) ≤ bp k*P := by
93
- unfold P; rw [← bp_add]; apply bp_le; linarith only [hv,Nat.cast_nonneg (α:=ℝ) n]
94
- have hr : bp (-(↑(M*n):ℝ)/2)≤P := bp_le (by linarith only [hv])
95
- calc _ ≤ num G*(2*(bp k * P))+P := add_le_add
96
- (mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_left hq (by norm_num))
97
- (Nat.cast_nonneg _)) hr
98
- _ = _ := by unfold c; ring
99
- have h1 : 2*bp (r-n) ≤ u/2*bp (-(1/4:ℝ)*n) := by
100
- simpa only [mul_assoc,← bp_add,neg_mul,one_mul,←sub_eq_add_neg] using hn
101
- have h2 : 2*netFact t* twinkle t k (M*n)≤ u/2*bp (-(1/4:ℝ)*n) :=
102
- (mul_le_mul_of_nonneg_left ht (by apply mul_nonneg (by norm_num) netFact_pos.le)).trans
103
- (le_trans (le_of_eq (Eq.symm (mul_assoc b c P))) hh)
104
- exact (add_le_add h1 h2).trans_eq (by ring)
105
-
106
- theorem approx_calendar (p : Shape) (M : ℕ) (g : Route J G)
107
- (r η : ℝ) (hη : 0<η) (hM : 1 ≤ M) :
108
- ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
109
- (A : Type) [Fintype A] (s : Program p n g A)
110
- (w : Wgt A), IsLaw w →
111
- 2*num (Full p n)<N →
112
- pr (draws Bool w) (fun x => ¬ s.free x) ≤ bp (r-n) →
113
- approxData (forumLaw m N) (s.makeData w) η (bp (-(1/4:ℝ)*n)) := by
114
- filter_upwards [variance_calendar p M g r (η^2) (by positivity) hM]
115
- with n hn N m A _ s w hw hN he F hF
116
- subst N
117
- let T (x : A) (y : Rack J (M*n)) := F (x,y)
118
- rw [mixW_avg]; simp_rw [view_data]
119
- refine (outlier (forum_law m hN).nz _ η hη
120
- (hn m _ s T w hw (fun x y => hF _) hN he)).trans_eq ?_
121
- field_simp
122
-
123
- theorem thin_calendar (p : Shape) (M : ℕ) (g : Route J G)
124
- (b η c : ℝ) (hc : 0 < c) (hη : 0<η) (hM : 1≤M) :
125
- ∃ l : ℕ, ∀ r : ℝ, ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
126
- (A : Type) [Fintype A] (s : Program p n g A)
127
- (w : Wgt A), IsLaw w →
128
- 2*num (Full p n)<N →
129
- pr (draws (Fin l) w) (fun x => ¬ s.free x) ≤ bp (r-n) →
130
- thinData (forumLaw m N) (s.makeData w) (bp (-c*n)) η (bp (-b*n)) := by
131
- obtain ⟨l,hl⟩ := exists_nat_gt (b/c)
132
- let d := η^l/2
133
- have hd : 0<d := by positivity
134
- let t := tied g (Fin l)
135
- let k := num (Fin l × J)
136
- refine ⟨l,fun r => ?_⟩
137
- filter_upwards [pay_div_nat (a:=1) (bp r) d hd (b:=0) (by norm_num),
138
- pay_div_nat (a:=c*l) (netFact t) d hd (b:=b)
139
- (by rwa [div_lt_iff₀ hc,mul_comm] at hl),
140
- (cast_tops M hM).eventually (eventually_ge_atTop (2*k+1))]
141
- with n hn hh hk N m A _ s w hw hN hr P hP
142
- subst N; let N := M*n
143
- change 2*k+1 ≤ (N:ℝ) at hk
144
- let T (x : A) (y : Rack J N) := P (x,y)
145
- let v := forumLaw (G:=G) m N
146
- let f := fun o => oFreq w T o s
147
- rw [show pr (mixW v (s.makeData w)) P=avg v (fun x => pr (s.makeData w x) P) from mixW_avg ..] at hP
148
- simp_rw [freq_data] at *
149
- have hi : bp (r-n) ≤ d := by
150
- simpa only [neg_zero,zero_mul,bp_zero,mul_one,← bp_add,neg_mul,one_mul, ← sub_eq_add_neg]
151
- using hn
152
- have hj : η^l=d+d := by unfold d; ring
153
- have he := oTail m hN T w hw (k:=k) (fun i => port_limit _ i) (by linarith only [hk])
154
- (bp (r-n)) hr hη.le
155
- have hv := forum_law (G:=G) m hN
156
- apply le_of_mul_le_mul_left _ hd
157
- calc d*pr v (fun x => η ≤ f x)
158
- _ ≤ _ := mul_le_mul_of_nonneg_right (show d≤η^l-bp (r-n) from by
159
- rw [hj]; linarith only [hi]) (pr_nonneg hv.nz)
160
- _ ≤ _ := he
161
- _ ≤ netFact t * bp (-c*n)^l := mul_le_mul_of_nonneg_left
162
- (pow_le_pow_left₀ (avg_nonneg hv.nz fun x => pr_nonneg hw.nz) hP l) netFact_pos.le
163
- _ ≤ _ := by rw [← bp_mul_nat,show -c*n*l= -(c*l)*n by ring]; exact hh
164
- end Program
165
- end HadwigerCounterexample
166
-
167
- end
168
-
169
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.DependentPairConcentration
2
+
3
+ namespace OAI
4
+
5
+ /-! # Concentration Scales -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+
10
+ open Matrix LinearMap Module Finset Filter Real Function
11
+ open scoped BigOperators Topology
12
+ variable {X : Type*}
13
+
14
+ /-- pay slack for any fixed multiple of exponentially smaller term. -/
15
+ theorem pay_nat {a b : ℝ} (c : ℝ) (hab : b < a) :
16
+ ∀ᶠ n : ℕ in atTop,c * bp (-a*n) ≤ bp (-b*n) := by
17
+ have h := (bp_tendsto (sub_pos.mpr hab)).comp (tendsto_natCast_atTop_atTop (R:=ℝ))
18
+ filter_upwards [h.eventually (eventually_ge_atTop c)] with n hn
19
+ change c ≤ bp ((a-b)*n) at hn
20
+ refine (mul_le_mul_of_nonneg_right hn (bp_pos _).le).trans_eq ?_
21
+ rw [← bp_add, show (a-b)*n + -a*n= -b*n by ring]
22
+
23
+ theorem pay_div_nat {a b : ℝ} (c u : ℝ) (hu : 0 < u) (hab : b < a) :
24
+ ∀ᶠ n : ℕ in atTop,c * bp (-a*n) ≤ u*bp (-b*n) := by
25
+ filter_upwards [pay_nat (c/u) hab] with n hn
26
+ calc _ = u*(c/u*bp (-a*n)) := by field_simp
27
+ _ ≤ _ := mul_le_mul_of_nonneg_left hn hu.le
28
+
29
+ theorem cast_tops (M : ℕ) (hM : 1≤M) :
30
+ Tendsto (fun n : ℕ => (↑(M*n):ℝ)) atTop atTop := by
31
+ simp_rw [Nat.cast_mul]; exact
32
+ (tendsto_const_mul_atTop_of_pos (show 0<(M:ℝ) from by
33
+ exact_mod_cast (show 0 < M from hM))).mpr tendsto_natCast_atTop_atTop
34
+
35
+ variable {p : Shape} {M n N : ℕ}
36
+ variable {I J K G A B : Type} [Fintype I] [Fintype J] [Fintype K] [Fintype G]
37
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq K] [DecidableEq G]
38
+ variable [Fintype A] [Fintype B]
39
+ variable {g : Route J G}
40
+
41
+ omit [Fintype G] [DecidableEq J] in
42
+ theorem port_limit (g : Route J G) (i : G) :
43
+ num (Port g i) ≤ num J := by
44
+ exact_mod_cast Fintype.card_subtype_le _
45
+
46
+ namespace Program
47
+ variable {s : Program p n g A}
48
+
49
+ /-- empirical input-and-image law -/
50
+ def makeData (s : Program p n g A) (w : Wgt A) (o : Forum p n N G) :
51
+ Wgt (A×Rack J N) :=
52
+ mapW w (fun x => (x,s.showKey x o))
53
+ omit [Fintype G] [DecidableEq G] in
54
+ theorem data_law (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
55
+ (hw : IsLaw w) : IsLaw (s.makeData w o) := mapW_law hw _
56
+ omit [Fintype G] [DecidableEq G] in
57
+ theorem view_data (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
58
+ (f : Wgt (A×Rack J N)) :
59
+ avg (s.makeData w o) f=s.oexpect w (fun a b => f (a,b)) o := mapW_avg ..
60
+ omit [Fintype G] [DecidableEq G] in
61
+ theorem freq_data (s : Program p n g A) (w : Wgt A) (o : Forum p n N G)
62
+ (P : A×Rack J N→Prop) :
63
+ pr (s.makeData w o) P = oFreq w (fun a b => P (a,b)) o s := mapW_pr ..
64
+
65
+ set_option maxHeartbeats 600000 in
66
+ theorem variance_calendar (p : Shape) (M : ℕ) (g : Route J G)
67
+ (r u : ℝ) (hu : 0 < u) (hM : 1≤M) :
68
+ ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
69
+ (A : Type) [Fintype A] (s : Program p n g A)
70
+ (T : A→ Wgt (Rack J N)) (w : Wgt A), IsLaw w →
71
+ (∀ x y, |T x y|≤1) →2*num (Full p n)<N →
72
+ pr (draws Bool w) (fun x => ¬ s.free x) ≤ bp (r-n) →
73
+ (let v := forumLaw m N
74
+ let f := s.oexpect w T
75
+ avg v (fun x => (f x-avg v f)^2)) ≤ u*bp (-(1/4:ℝ)*n) := by
76
+ let t := tied g Bool
77
+ let k := num (Bool×J)
78
+ let b := 2*netFact t
79
+ let c := num G* (2*bp k)+1
80
+ filter_upwards [pay_div_nat (a:=1) (2*bp r) (u/2) (by positivity) (b:=1/4) (by norm_num),
81
+ pay_div_nat (a:=1/2) (b*c) (u/2) (by positivity) (b:=1/4) (by norm_num),
82
+ (cast_tops M hM).eventually (eventually_ge_atTop (2*k+1))]
83
+ with n hn hh hk N m A _ s T w hw hT hN h
84
+ change (2*k+1) ≤ (↑(M*n) : ℝ) at hk
85
+ have he := oVar m hN T w hw hT k (fun i => port_limit _ i) (by linarith only [hk])
86
+ (bp (r-n)) h
87
+ apply he.trans
88
+ subst N
89
+ have hv : (n:ℝ) ≤ (M*n:ℕ) := by exact_mod_cast (show n ≤ M*n from by nlinarith)
90
+ let P := bp (-(1/2:ℝ)*n)
91
+ have ht : twinkle t k (M*n) ≤ c*P := by
92
+ have hq : bp (k-(M*n:ℕ)) ≤ bp k*P := by
93
+ unfold P; rw [← bp_add]; apply bp_le; linarith only [hv,Nat.cast_nonneg (α:=ℝ) n]
94
+ have hr : bp (-(↑(M*n):ℝ)/2)≤P := bp_le (by linarith only [hv])
95
+ calc _ ≤ num G*(2*(bp k * P))+P := add_le_add
96
+ (mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_left hq (by norm_num))
97
+ (Nat.cast_nonneg _)) hr
98
+ _ = _ := by unfold c; ring
99
+ have h1 : 2*bp (r-n) ≤ u/2*bp (-(1/4:ℝ)*n) := by
100
+ simpa only [mul_assoc,← bp_add,neg_mul,one_mul,←sub_eq_add_neg] using hn
101
+ have h2 : 2*netFact t* twinkle t k (M*n)≤ u/2*bp (-(1/4:ℝ)*n) :=
102
+ (mul_le_mul_of_nonneg_left ht (by apply mul_nonneg (by norm_num) netFact_pos.le)).trans
103
+ (le_trans (le_of_eq (Eq.symm (mul_assoc b c P))) hh)
104
+ exact (add_le_add h1 h2).trans_eq (by ring)
105
+
106
+ theorem approx_calendar (p : Shape) (M : ℕ) (g : Route J G)
107
+ (r η : ℝ) (hη : 0<η) (hM : 1 ≤ M) :
108
+ ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
109
+ (A : Type) [Fintype A] (s : Program p n g A)
110
+ (w : Wgt A), IsLaw w →
111
+ 2*num (Full p n)<N →
112
+ pr (draws Bool w) (fun x => ¬ s.free x) ≤ bp (r-n) →
113
+ approxData (forumLaw m N) (s.makeData w) η (bp (-(1/4:ℝ)*n)) := by
114
+ filter_upwards [variance_calendar p M g r (η^2) (by positivity) hM]
115
+ with n hn N m A _ s w hw hN he F hF
116
+ subst N
117
+ let T (x : A) (y : Rack J (M*n)) := F (x,y)
118
+ rw [mixW_avg]; simp_rw [view_data]
119
+ refine (outlier (forum_law m hN).nz _ η hη
120
+ (hn m _ s T w hw (fun x y => hF _) hN he)).trans_eq ?_
121
+ field_simp
122
+
123
+ theorem thin_calendar (p : Shape) (M : ℕ) (g : Route J G)
124
+ (b η c : ℝ) (hc : 0 < c) (hη : 0<η) (hM : 1≤M) :
125
+ ∃ l : ℕ, ∀ r : ℝ, ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n)
126
+ (A : Type) [Fintype A] (s : Program p n g A)
127
+ (w : Wgt A), IsLaw w →
128
+ 2*num (Full p n)<N →
129
+ pr (draws (Fin l) w) (fun x => ¬ s.free x) ≤ bp (r-n) →
130
+ thinData (forumLaw m N) (s.makeData w) (bp (-c*n)) η (bp (-b*n)) := by
131
+ obtain ⟨l,hl⟩ := exists_nat_gt (b/c)
132
+ let d := η^l/2
133
+ have hd : 0<d := by positivity
134
+ let t := tied g (Fin l)
135
+ let k := num (Fin l × J)
136
+ refine ⟨l,fun r => ?_⟩
137
+ filter_upwards [pay_div_nat (a:=1) (bp r) d hd (b:=0) (by norm_num),
138
+ pay_div_nat (a:=c*l) (netFact t) d hd (b:=b)
139
+ (by rwa [div_lt_iff₀ hc,mul_comm] at hl),
140
+ (cast_tops M hM).eventually (eventually_ge_atTop (2*k+1))]
141
+ with n hn hh hk N m A _ s w hw hN hr P hP
142
+ subst N; let N := M*n
143
+ change 2*k+1 ≤ (N:ℝ) at hk
144
+ let T (x : A) (y : Rack J N) := P (x,y)
145
+ let v := forumLaw (G:=G) m N
146
+ let f := fun o => oFreq w T o s
147
+ rw [show pr (mixW v (s.makeData w)) P=avg v (fun x => pr (s.makeData w x) P) from mixW_avg ..] at hP
148
+ simp_rw [freq_data] at *
149
+ have hi : bp (r-n) ≤ d := by
150
+ simpa only [neg_zero,zero_mul,bp_zero,mul_one,← bp_add,neg_mul,one_mul, ← sub_eq_add_neg]
151
+ using hn
152
+ have hj : η^l=d+d := by unfold d; ring
153
+ have he := oTail m hN T w hw (k:=k) (fun i => port_limit _ i) (by linarith only [hk])
154
+ (bp (r-n)) hr hη.le
155
+ have hv := forum_law (G:=G) m hN
156
+ apply le_of_mul_le_mul_left _ hd
157
+ calc d*pr v (fun x => η ≤ f x)
158
+ _ ≤ _ := mul_le_mul_of_nonneg_right (show d≤η^l-bp (r-n) from by
159
+ rw [hj]; linarith only [hi]) (pr_nonneg hv.nz)
160
+ _ ≤ _ := he
161
+ _ ≤ netFact t * bp (-c*n)^l := mul_le_mul_of_nonneg_left
162
+ (pow_le_pow_left₀ (avg_nonneg hv.nz fun x => pr_nonneg hw.nz) hP l) netFact_pos.le
163
+ _ ≤ _ := by rw [← bp_mul_nat,show -c*n*l= -(c*l)*n by ring]; exact hh
164
+ end Program
165
+ end HadwigerCounterexample
166
+
167
+ end
168
+
169
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalCellEntropy.lean CHANGED
@@ -1,156 +1,156 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.GradientRealization
2
- import OAI.Combinatorics.HadwigerCounterexample.WalshBounds
3
-
4
- namespace OAI
5
-
6
- /-! # Conditional Cell Entropy -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix LinearMap Submodule Module Finset
11
- open scoped BigOperators
12
- variable {p : Shape} {n N : ℕ}
13
-
14
- theorem plan_add_disjoint (a b : Plan p n) (h : ∀ z, Disjoint (a z) (b z)) :
15
- planRank (a⊔b)=planRank a+planRank b := by
16
- unfold planRank
17
- rw [← Finset.sum_add_distrib]
18
- refine Finset.sum_congr rfl fun i _ => ?_
19
- have he := Submodule.finrank_sup_add_finrank_inf_eq (a i) (b i)
20
- rw [(h i).eq_bot,finrank_bot,add_zero] at he
21
- exact he
22
-
23
- theorem plan_new_disjoint (a b : Plan p n) (h : ∀ z,Disjoint (a z) (b z)) :
24
- planNew a b=planRank b := by rw [planNew,plan_add_disjoint a b h,Nat.add_sub_cancel_left]
25
-
26
- variable {I : Type} [Fintype I]
27
-
28
- def kslots (p : Shape) (I : Type) [Fintype I] :=
29
- Fintype.card I*(p.g-1)*2
30
- def kmax (p : Shape) := 56*(p.g-1)
31
- theorem slots_budget {w : I→Bool} (v : Volley p n I)
32
- (hb : v.bounded w) : kslots p I ≤ kmax p := by
33
- classical
34
- have h := v.call_count hb
35
- unfold kslots kmax; nlinarith
36
-
37
- instance instFKeys (t : Tagging p I) (N : ℕ) : Fintype (Keys (p:=p) t N) :=
38
- by classical exact inferInstance
39
-
40
- theorem dim_keys (t : Tagging p I) :
41
- dim (Keys (p:=p) t N) = kslots p I * N := by
42
- have h (l : Tag p.g) :
43
- dim (AtomKey (p:=p) l N)=(p.g-1)*(2*N) := by
44
- unfold AtomKey dim
45
-
46
- rw [finrank_pi_fintype]
47
- have he : finrank F (Bool → Vec (Fin N))=2*N := by
48
- rw [finrank_pi_fintype]
49
- simp_rw [show finrank F (Vec (Fin N))=_ from dim_vec _]
50
- simp
51
- simp_rw [he]
52
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,card_star]; rfl
53
- unfold dim Keys kslots
54
- rw [finrank_pi_fintype]
55
- have hx i : finrank F (AtomKey (p:=p) (t i) N)=(p.g-1)*(2*N) := h (t i)
56
- simp_rw [hx]
57
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,Nat.cast_id]
58
- ring
59
-
60
- namespace Volley
61
- variable {v : Volley p n I}
62
-
63
- theorem key_slots (t : Tagging p I) {q} {a : Plan p n}
64
- (h : v.avoids a q) :
65
- planNew a (v.keyPlan t) = kslots p I := by
66
- classical
67
- let Y := visits p t
68
- have hh i := key_independent v t h i
69
- have he (z : Place p) : dim (keyPlan v t z)=Fintype.card (Y z.1) :=
70
- mrk_inj.mp (hh z).1
71
- rw [plan_new_disjoint a _ (fun i => Disjoint.mono_left (pin_le_table a i)
72
- (hh i).2.symm), planRank,Fintype.sum_prod_type]
73
- simp_rw [Fintype.sum_bool,he,←two_mul,←Finset.mul_sum]
74
- have hE : ∑ i : Comp p.g,Fintype.card (Y i)=Fintype.card I*(p.g-1) := by
75
- have hf {A : Type} [Fintype A] (p : A → Prop) [DecidablePred p] :
76
- Fintype.card {i:A//p i}=∑ i:A, if p i then (1:ℕ) else 0 := by
77
- rw [Fintype.card_subtype,←Finset.sum_filter]; simp
78
-
79
- have hY (i) : Fintype.card (Y i)=∑ j:I,if inc i (t j) then (1:ℕ) else 0 := hf _
80
- simp_rw [hY]
81
- rw [Finset.sum_comm]
82
- simp_rw [← hf (fun i => inc i _)]
83
- have hz (j) : Fintype.card {i:Comp p.g//inc i (t j)}=p.g-1 := card_star (t j)
84
- simp_rw [hz]
85
- simp
86
- rw [hE]; unfold kslots; ring
87
-
88
- /-- chosen reference x fixes the pin made of a and all key directions
89
- for every y in the same pin which agrees on query key. -/
90
- theorem key_pin (t : Tagging p I) {a : Pin p n N} {x y : UnitType p n N}
91
- (hx : a.agree x) (hy : a.agree y) (h : v.keys t x=v.keys t y) :
92
- (Pin.make (v.frozen a.sp t) x).agree y := by
93
- classical
94
- intro i u hu
95
- obtain ⟨l,hl,r,⟨z,rfl⟩,rfl⟩ := Submodule.mem_sup.mp
96
- (show u∈a.sp i⊔v.keyPlan t i from hu)
97
- have hZ : images y i * v.keyM t i.1 = images x i * v.keyM t i.1 := by
98
- ext b j
99
- obtain ⟨k,hk⟩ := j
100
- have ht := congr_fun (congr_fun (congr_fun h k) (⟨i.1,hk⟩ : TagStar _)) i.2
101
- rw [v.keys_loc,v.keys_loc] at ht
102
- exact congr_fun ht.symm b
103
- change images y i *ᵥ _ = images x i *ᵥ _
104
- rw [Matrix.mulVec_add,Matrix.mulVec_add,hx _ _ hl,hy _ _ hl]
105
- rw [mulVecLin_apply,mulVec_mulVec,mulVec_mulVec,hZ]
106
- end Volley
107
-
108
- def tau (N k : ℕ) := bp (-((k:ℝ)+0.01)*N)
109
- def hit (N : ℕ) := bp (-0.02*N)
110
-
111
- theorem in_clear {a f : Pin p n N} {k : ℕ} {ζ : ℝ} {w : Wgt (UnitType p n N)}
112
- (hz : ζ ≤ 0.004) (hkz : ζ*k ≤ 0.004)
113
- (hw : SubLaw w) (h : a.clear ζ w) (hF : a.sp≤f.sp) (hk : planRank f.sp=planRank a.sp+k)
114
- (S : UnitType p n N → Prop)
115
- (hS : ∀ x,S x → f.agree x) (ht : tau N k ≤ pr w S) :
116
- IsLaw (onW w S) ∧ f.clear 0.05 (onW w S) := by
117
- classical
118
- have hpos : 0 < pr w S := lt_of_lt_of_le (bp_pos _) ht
119
- have hh : IsLaw (onW w S) := normW_law (subW_nonneg hw.nz _) hpos
120
- refine ⟨hh,fun b => ?_⟩
121
- let t := planNew f.sp b.sp
122
- by_cases he : t=0
123
- · change pr _ _ ≤ fee N _ t
124
- rw [he,fee]
125
- simp only [Nat.cast_zero,mul_zero,zero_mul,bp_zero]
126
- exact (pr_le_tot hh.nz).trans hh.total.le
127
- let R := fun x => S x ∧ b.agree x
128
- by_cases hf : 0 < pr w R
129
- · obtain ⟨x,⟨hx,hB⟩,_⟩ := exists_of_pr_pos hw.nz hf
130
- let c := Pin.make (f.sp⊔b.sp) x
131
- have hc : pr w R≤ fee N ζ (planNew a.sp c.sp) := (pr_mono hw.nz (q:=c.agree)
132
- (fun y hy => ((Pin.combine (hS x hx) hB).mpr ⟨hS _ hy.1,hy.2⟩))).trans (h c)
133
- have hN : planNew a.sp c.sp=k+t := by
134
- have hh : planNew a.sp f.sp+t=planNew a.sp c.sp := planNew_mono_add hF
135
- rw [← hh]
136
- rw [planNew, sup_eq_right.mpr hF,hk, Nat.add_sub_cancel_left]
137
- rw [hN] at hc
138
- rw [pr_on]
139
- refine ((div_le_div₀ (bp_pos _).le hc (bp_pos _) ht)).trans ?_
140
- unfold fee
141
- rw [←bp_sub]
142
- refine bp_le ?_
143
- have h1 : 1 ≤ (t:ℝ) := by exact_mod_cast Nat.one_le_iff_ne_zero.mpr he
144
- have hg := mul_le_mul_of_nonneg_right hz (show 0≤(t:ℝ) from Nat.cast_nonneg _)
145
- rw [Nat.cast_add]
146
- change _ ≤ -(1-0.05)*(t : ℝ)*N
147
- rw [← sub_mul]
148
- exact mul_le_mul_of_nonneg_right (by linarith only [hkz,h1,hg]) (Nat.cast_nonneg _)
149
- · rw [pr_on]
150
- exact (div_nonpos_of_nonpos_of_nonneg (not_lt.mp hf) hpos.le).trans (bp_pos _).le
151
-
152
- end HadwigerCounterexample
153
-
154
- end
155
-
156
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.GradientRealization
2
+ import OAI.Combinatorics.HadwigerCounterexample.WalshBounds
3
+
4
+ namespace OAI
5
+
6
+ /-! # Conditional Cell Entropy -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix LinearMap Submodule Module Finset
11
+ open scoped BigOperators
12
+ variable {p : Shape} {n N : ℕ}
13
+
14
+ theorem plan_add_disjoint (a b : Plan p n) (h : ∀ z, Disjoint (a z) (b z)) :
15
+ planRank (a⊔b)=planRank a+planRank b := by
16
+ unfold planRank
17
+ rw [← Finset.sum_add_distrib]
18
+ refine Finset.sum_congr rfl fun i _ => ?_
19
+ have he := Submodule.finrank_sup_add_finrank_inf_eq (a i) (b i)
20
+ rw [(h i).eq_bot,finrank_bot,add_zero] at he
21
+ exact he
22
+
23
+ theorem plan_new_disjoint (a b : Plan p n) (h : ∀ z,Disjoint (a z) (b z)) :
24
+ planNew a b=planRank b := by rw [planNew,plan_add_disjoint a b h,Nat.add_sub_cancel_left]
25
+
26
+ variable {I : Type} [Fintype I]
27
+
28
+ def kslots (p : Shape) (I : Type) [Fintype I] :=
29
+ Fintype.card I*(p.g-1)*2
30
+ def kmax (p : Shape) := 56*(p.g-1)
31
+ theorem slots_budget {w : I→Bool} (v : Volley p n I)
32
+ (hb : v.bounded w) : kslots p I ≤ kmax p := by
33
+ classical
34
+ have h := v.call_count hb
35
+ unfold kslots kmax; nlinarith
36
+
37
+ instance instFKeys (t : Tagging p I) (N : ℕ) : Fintype (Keys (p:=p) t N) :=
38
+ by classical exact inferInstance
39
+
40
+ theorem dim_keys (t : Tagging p I) :
41
+ dim (Keys (p:=p) t N) = kslots p I * N := by
42
+ have h (l : Tag p.g) :
43
+ dim (AtomKey (p:=p) l N)=(p.g-1)*(2*N) := by
44
+ unfold AtomKey dim
45
+
46
+ rw [finrank_pi_fintype]
47
+ have he : finrank F (Bool → Vec (Fin N))=2*N := by
48
+ rw [finrank_pi_fintype]
49
+ simp_rw [show finrank F (Vec (Fin N))=_ from dim_vec _]
50
+ simp
51
+ simp_rw [he]
52
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,card_star]; rfl
53
+ unfold dim Keys kslots
54
+ rw [finrank_pi_fintype]
55
+ have hx i : finrank F (AtomKey (p:=p) (t i) N)=(p.g-1)*(2*N) := h (t i)
56
+ simp_rw [hx]
57
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,Nat.cast_id]
58
+ ring
59
+
60
+ namespace Volley
61
+ variable {v : Volley p n I}
62
+
63
+ theorem key_slots (t : Tagging p I) {q} {a : Plan p n}
64
+ (h : v.avoids a q) :
65
+ planNew a (v.keyPlan t) = kslots p I := by
66
+ classical
67
+ let Y := visits p t
68
+ have hh i := key_independent v t h i
69
+ have he (z : Place p) : dim (keyPlan v t z)=Fintype.card (Y z.1) :=
70
+ mrk_inj.mp (hh z).1
71
+ rw [plan_new_disjoint a _ (fun i => Disjoint.mono_left (pin_le_table a i)
72
+ (hh i).2.symm), planRank,Fintype.sum_prod_type]
73
+ simp_rw [Fintype.sum_bool,he,←two_mul,←Finset.mul_sum]
74
+ have hE : ∑ i : Comp p.g,Fintype.card (Y i)=Fintype.card I*(p.g-1) := by
75
+ have hf {A : Type} [Fintype A] (p : A → Prop) [DecidablePred p] :
76
+ Fintype.card {i:A//p i}=∑ i:A, if p i then (1:ℕ) else 0 := by
77
+ rw [Fintype.card_subtype,←Finset.sum_filter]; simp
78
+
79
+ have hY (i) : Fintype.card (Y i)=∑ j:I,if inc i (t j) then (1:ℕ) else 0 := hf _
80
+ simp_rw [hY]
81
+ rw [Finset.sum_comm]
82
+ simp_rw [← hf (fun i => inc i _)]
83
+ have hz (j) : Fintype.card {i:Comp p.g//inc i (t j)}=p.g-1 := card_star (t j)
84
+ simp_rw [hz]
85
+ simp
86
+ rw [hE]; unfold kslots; ring
87
+
88
+ /-- chosen reference x fixes the pin made of a and all key directions
89
+ for every y in the same pin which agrees on query key. -/
90
+ theorem key_pin (t : Tagging p I) {a : Pin p n N} {x y : UnitType p n N}
91
+ (hx : a.agree x) (hy : a.agree y) (h : v.keys t x=v.keys t y) :
92
+ (Pin.make (v.frozen a.sp t) x).agree y := by
93
+ classical
94
+ intro i u hu
95
+ obtain ⟨l,hl,r,⟨z,rfl⟩,rfl⟩ := Submodule.mem_sup.mp
96
+ (show u∈a.sp i⊔v.keyPlan t i from hu)
97
+ have hZ : images y i * v.keyM t i.1 = images x i * v.keyM t i.1 := by
98
+ ext b j
99
+ obtain ⟨k,hk⟩ := j
100
+ have ht := congr_fun (congr_fun (congr_fun h k) (⟨i.1,hk⟩ : TagStar _)) i.2
101
+ rw [v.keys_loc,v.keys_loc] at ht
102
+ exact congr_fun ht.symm b
103
+ change images y i *ᵥ _ = images x i *ᵥ _
104
+ rw [Matrix.mulVec_add,Matrix.mulVec_add,hx _ _ hl,hy _ _ hl]
105
+ rw [mulVecLin_apply,mulVec_mulVec,mulVec_mulVec,hZ]
106
+ end Volley
107
+
108
+ def tau (N k : ℕ) := bp (-((k:ℝ)+0.01)*N)
109
+ def hit (N : ℕ) := bp (-0.02*N)
110
+
111
+ theorem in_clear {a f : Pin p n N} {k : ℕ} {ζ : ℝ} {w : Wgt (UnitType p n N)}
112
+ (hz : ζ ≤ 0.004) (hkz : ζ*k ≤ 0.004)
113
+ (hw : SubLaw w) (h : a.clear ζ w) (hF : a.sp≤f.sp) (hk : planRank f.sp=planRank a.sp+k)
114
+ (S : UnitType p n N → Prop)
115
+ (hS : ∀ x,S x → f.agree x) (ht : tau N k ≤ pr w S) :
116
+ IsLaw (onW w S) ∧ f.clear 0.05 (onW w S) := by
117
+ classical
118
+ have hpos : 0 < pr w S := lt_of_lt_of_le (bp_pos _) ht
119
+ have hh : IsLaw (onW w S) := normW_law (subW_nonneg hw.nz _) hpos
120
+ refine ⟨hh,fun b => ?_⟩
121
+ let t := planNew f.sp b.sp
122
+ by_cases he : t=0
123
+ · change pr _ _ ≤ fee N _ t
124
+ rw [he,fee]
125
+ simp only [Nat.cast_zero,mul_zero,zero_mul,bp_zero]
126
+ exact (pr_le_tot hh.nz).trans hh.total.le
127
+ let R := fun x => S x ∧ b.agree x
128
+ by_cases hf : 0 < pr w R
129
+ · obtain ⟨x,⟨hx,hB⟩,_⟩ := exists_of_pr_pos hw.nz hf
130
+ let c := Pin.make (f.sp⊔b.sp) x
131
+ have hc : pr w R≤ fee N ζ (planNew a.sp c.sp) := (pr_mono hw.nz (q:=c.agree)
132
+ (fun y hy => ((Pin.combine (hS x hx) hB).mpr ⟨hS _ hy.1,hy.2⟩))).trans (h c)
133
+ have hN : planNew a.sp c.sp=k+t := by
134
+ have hh : planNew a.sp f.sp+t=planNew a.sp c.sp := planNew_mono_add hF
135
+ rw [← hh]
136
+ rw [planNew, sup_eq_right.mpr hF,hk, Nat.add_sub_cancel_left]
137
+ rw [hN] at hc
138
+ rw [pr_on]
139
+ refine ((div_le_div₀ (bp_pos _).le hc (bp_pos _) ht)).trans ?_
140
+ unfold fee
141
+ rw [←bp_sub]
142
+ refine bp_le ?_
143
+ have h1 : 1 ≤ (t:ℝ) := by exact_mod_cast Nat.one_le_iff_ne_zero.mpr he
144
+ have hg := mul_le_mul_of_nonneg_right hz (show 0≤(t:ℝ) from Nat.cast_nonneg _)
145
+ rw [Nat.cast_add]
146
+ change _ ≤ -(1-0.05)*(t : ℝ)*N
147
+ rw [← sub_mul]
148
+ exact mul_le_mul_of_nonneg_right (by linarith only [hkz,h1,hg]) (Nat.cast_nonneg _)
149
+ · rw [pr_on]
150
+ exact (div_nonpos_of_nonpos_of_nonneg (not_lt.mp hf) hpos.le).trans (bp_pos _).le
151
+
152
+ end HadwigerCounterexample
153
+
154
+ end
155
+
156
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalFlags.lean CHANGED
@@ -1,107 +1,107 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteProjectionCenters
2
-
3
- namespace OAI
4
-
5
- /-! # Conditional Flags -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real
10
- open scoped BigOperators
11
- variable {A B C X Y : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype X] [Fintype Y]
12
- variable {w : Wgt X}
13
-
14
- def stained (w : Wgt X) (f : X→Y) (i : Y) : Wgt X := by
15
- classical exact if mapW w f i≠0 then onW w (fun x => f x=i) else w
16
- theorem stained_law (f : X→Y) (hw : IsLaw w) (i : Y) : IsLaw (stained w f i) := by
17
- unfold stained; split
18
- next h => exact on_law hw.nz (lt_of_le_of_ne ((mapW_law hw f).nz _) (Ne.symm h))
19
- next => exact hw
20
-
21
- theorem stain_rebuild (f : X→Y) (P : Y→Prop) (hw : IsLaw w) :
22
- subW w (P∘f) = mixW (subW (mapW w f) P) (stained w f) := by
23
- classical
24
- have hh := disintegrate hw.nz f
25
- funext i
26
- have hi (y) :
27
- mapW w f y * stained w f y i=
28
- mapW w f y * onW w (fun x => f x=y) i := by
29
- by_cases h : mapW w f y=0 <;> simp [stained,h]
30
- have he := congr_fun hh i
31
- unfold subW mixW Function.comp
32
- unfold mixW at he
33
- rw [he,avg,Finset.sum_mul]
34
- unfold avg at *
35
- apply sum_congr rfl
36
- intro j _
37
- rw [mul_right_comm _ (ind _), hi]
38
- by_cases hx : f i=j
39
- · rw [hx]
40
- simp only [onW_val,ind_zero hx,mul_zero,zero_div,zero_mul]
41
-
42
- theorem stain_inputs (f : X→Y) (hw : IsLaw w) :
43
- w=mixW (mapW w f) (stained w f) := by
44
- have ht := stain_rebuild f (fun _ => True) hw
45
- unfold subW at ht
46
- simpa only [Function.comp_apply,ind_true,mul_one] using ht
47
-
48
- variable {μ : Wgt A}
49
-
50
- def colored (μ : Wgt A) (w : Wgt X) (v : A→ X→ Y) :=
51
- semi μ (fun i => mapW w (v i))
52
- def coloredP (w : Wgt X) (v : A→ X→Y) (K : A→X→B) :=
53
- fun i : A×Y => mapW (stained w (v i.1) i.2) (K i.1)
54
- def flaggedW (μ : Wgt A) (w : Wgt X) (v : A→X→Y) (K : A→X→B) (P : A→Y→Prop) :=
55
- mixW μ (fun i => mapW (subW w (P i ∘ v i)) (K i))
56
-
57
- theorem semi_total (μ : Wgt A) (v : A → Wgt Y) :
58
- tot (semi μ v)=avg μ (fun i=>tot (v i)) := by
59
- simpa only [avg_const,mul_one] using semi_avg μ v (fun i=>1)
60
-
61
- theorem colored_ultra (hμ : IsLaw μ) (hw : IsLaw w) (K : A→X→B) (v : A→X→Y) :
62
- Ultra (colored μ w v) (coloredP w v K) := by
63
- have ht (i) := mapW_law hw (v i)
64
- refine ⟨⟨fun x => mul_nonneg (hμ.nz _) ((ht _).nz _),?_⟩,
65
- fun i => mapW_law (stained_law _ hw _) (K i.1)⟩
66
- unfold colored; rw [semi_total]
67
- simp_rw [(ht _).total]
68
- exact hμ.avg_const _
69
-
70
- theorem flag_catalog (K : A→ X→B) (v : A→ X→ Y) (P : A→ Y→ Prop)
71
- (hw : IsLaw w) (hμ : IsLaw μ) :
72
- catalog (colored μ w v) (coloredP w v K)
73
- (flaggedW μ w v K P) := by
74
- classical
75
- let W := colored μ w v
76
- have hh := (colored_ultra hμ hw K v).law
77
- refine ⟨subW W (fun i => P i.1 i.2),subW_nonneg hh.nz _,subW_le hh.nz _,?_⟩
78
- unfold flaggedW
79
- simp_rw [stain_rebuild (v _) (P _) hw,map_mix]
80
- funext x
81
- simp only [mixW,coloredP,colored,W,avg,subW,semi,Finset.mul_sum,Fintype.sum_prod_type]
82
- exact sum_congr rfl fun i _ => sum_congr rfl fun j _ => by ring
83
-
84
- theorem colored_budget [Nonempty Y] (K : A→ X→B) (v : A→ X→ Y) (f : B→C)
85
- (hw : IsLaw w) (hμ : IsLaw μ) :
86
- budget (colored μ w v) (coloredP w v K) f ≤
87
- budget μ (fun i => mapW w (K i)) f + Real.log (num Y) := by
88
- unfold budget colored coloredP
89
- rw [semi_avg,← hμ.avg_const (Real.log _),← avg_add]
90
- apply avg_mono hμ.nz
91
- intro i
92
- let u := mapW w (v i)
93
- have he : IsLaw u := mapW_law hw (v i)
94
- let q (j : Y) := mapW (mapW (stained w (v i) j) (K i)) f
95
- have hq (j) : IsLaw (q j) := mapW_law (mapW_law (stained_law _ hw _) _) _
96
- have ht : mapW (mapW w (K i)) f=mixW u q := by
97
- calc mapW _ _ = mapW (mapW (mixW u (stained w (v i))) (K i)) f :=
98
- congrArg (fun z => mapW (mapW z (K i)) f) (stain_inputs (v i) hw)
99
- _ = _ := by rw [map_mix,map_mix]
100
- change avg u (fun j => tension (q j) _)≤ tension _ _+_
101
- rw [tension_mix,add_comm _ (log _),ht]
102
- exact add_le_add_left (mix_charge he hq) _
103
- end HadwigerCounterexample
104
-
105
- end
106
-
107
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteProjectionCenters
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditional Flags -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real
10
+ open scoped BigOperators
11
+ variable {A B C X Y : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype X] [Fintype Y]
12
+ variable {w : Wgt X}
13
+
14
+ def stained (w : Wgt X) (f : X→Y) (i : Y) : Wgt X := by
15
+ classical exact if mapW w f i≠0 then onW w (fun x => f x=i) else w
16
+ theorem stained_law (f : X→Y) (hw : IsLaw w) (i : Y) : IsLaw (stained w f i) := by
17
+ unfold stained; split
18
+ next h => exact on_law hw.nz (lt_of_le_of_ne ((mapW_law hw f).nz _) (Ne.symm h))
19
+ next => exact hw
20
+
21
+ theorem stain_rebuild (f : X→Y) (P : Y→Prop) (hw : IsLaw w) :
22
+ subW w (P∘f) = mixW (subW (mapW w f) P) (stained w f) := by
23
+ classical
24
+ have hh := disintegrate hw.nz f
25
+ funext i
26
+ have hi (y) :
27
+ mapW w f y * stained w f y i=
28
+ mapW w f y * onW w (fun x => f x=y) i := by
29
+ by_cases h : mapW w f y=0 <;> simp [stained,h]
30
+ have he := congr_fun hh i
31
+ unfold subW mixW Function.comp
32
+ unfold mixW at he
33
+ rw [he,avg,Finset.sum_mul]
34
+ unfold avg at *
35
+ apply sum_congr rfl
36
+ intro j _
37
+ rw [mul_right_comm _ (ind _), hi]
38
+ by_cases hx : f i=j
39
+ · rw [hx]
40
+ simp only [onW_val,ind_zero hx,mul_zero,zero_div,zero_mul]
41
+
42
+ theorem stain_inputs (f : X→Y) (hw : IsLaw w) :
43
+ w=mixW (mapW w f) (stained w f) := by
44
+ have ht := stain_rebuild f (fun _ => True) hw
45
+ unfold subW at ht
46
+ simpa only [Function.comp_apply,ind_true,mul_one] using ht
47
+
48
+ variable {μ : Wgt A}
49
+
50
+ def colored (μ : Wgt A) (w : Wgt X) (v : A→ X→ Y) :=
51
+ semi μ (fun i => mapW w (v i))
52
+ def coloredP (w : Wgt X) (v : A→ X→Y) (K : A→X→B) :=
53
+ fun i : A×Y => mapW (stained w (v i.1) i.2) (K i.1)
54
+ def flaggedW (μ : Wgt A) (w : Wgt X) (v : A→X→Y) (K : A→X→B) (P : A→Y→Prop) :=
55
+ mixW μ (fun i => mapW (subW w (P i ∘ v i)) (K i))
56
+
57
+ theorem semi_total (μ : Wgt A) (v : A → Wgt Y) :
58
+ tot (semi μ v)=avg μ (fun i=>tot (v i)) := by
59
+ simpa only [avg_const,mul_one] using semi_avg μ v (fun i=>1)
60
+
61
+ theorem colored_ultra (hμ : IsLaw μ) (hw : IsLaw w) (K : A→X→B) (v : A→X→Y) :
62
+ Ultra (colored μ w v) (coloredP w v K) := by
63
+ have ht (i) := mapW_law hw (v i)
64
+ refine ⟨⟨fun x => mul_nonneg (hμ.nz _) ((ht _).nz _),?_⟩,
65
+ fun i => mapW_law (stained_law _ hw _) (K i.1)⟩
66
+ unfold colored; rw [semi_total]
67
+ simp_rw [(ht _).total]
68
+ exact hμ.avg_const _
69
+
70
+ theorem flag_catalog (K : A→ X→B) (v : A→ X→ Y) (P : A→ Y→ Prop)
71
+ (hw : IsLaw w) (hμ : IsLaw μ) :
72
+ catalog (colored μ w v) (coloredP w v K)
73
+ (flaggedW μ w v K P) := by
74
+ classical
75
+ let W := colored μ w v
76
+ have hh := (colored_ultra hμ hw K v).law
77
+ refine ⟨subW W (fun i => P i.1 i.2),subW_nonneg hh.nz _,subW_le hh.nz _,?_⟩
78
+ unfold flaggedW
79
+ simp_rw [stain_rebuild (v _) (P _) hw,map_mix]
80
+ funext x
81
+ simp only [mixW,coloredP,colored,W,avg,subW,semi,Finset.mul_sum,Fintype.sum_prod_type]
82
+ exact sum_congr rfl fun i _ => sum_congr rfl fun j _ => by ring
83
+
84
+ theorem colored_budget [Nonempty Y] (K : A→ X→B) (v : A→ X→ Y) (f : B→C)
85
+ (hw : IsLaw w) (hμ : IsLaw μ) :
86
+ budget (colored μ w v) (coloredP w v K) f ≤
87
+ budget μ (fun i => mapW w (K i)) f + Real.log (num Y) := by
88
+ unfold budget colored coloredP
89
+ rw [semi_avg,← hμ.avg_const (Real.log _),← avg_add]
90
+ apply avg_mono hμ.nz
91
+ intro i
92
+ let u := mapW w (v i)
93
+ have he : IsLaw u := mapW_law hw (v i)
94
+ let q (j : Y) := mapW (mapW (stained w (v i) j) (K i)) f
95
+ have hq (j) : IsLaw (q j) := mapW_law (mapW_law (stained_law _ hw _) _) _
96
+ have ht : mapW (mapW w (K i)) f=mixW u q := by
97
+ calc mapW _ _ = mapW (mapW (mixW u (stained w (v i))) (K i)) f :=
98
+ congrArg (fun z => mapW (mapW z (K i)) f) (stain_inputs (v i) hw)
99
+ _ = _ := by rw [map_mix,map_mix]
100
+ change avg u (fun j => tension (q j) _)≤ tension _ _+_
101
+ rw [tension_mix,add_comm _ (log _),ht]
102
+ exact add_le_add_left (mix_charge he hq) _
103
+ end HadwigerCounterexample
104
+
105
+ end
106
+
107
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalFourCorners.lean CHANGED
@@ -1,101 +1,101 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.UnseenCrossingFactorization
2
- import OAI.Combinatorics.HadwigerCounterexample.GramConditionedLaws
3
-
4
- namespace OAI
5
-
6
- /-! # Conditional Four Corners -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Finset Matrix Module LinearMap Function Filter
11
- open scoped BigOperators
12
- variable {p : Shape} {n N : ℕ} {I J : Type} [Fintype I] [DecidableEq I]
13
- set_option maxHeartbeats 600000 in
14
- private theorem stip_mask (E : Rail I) (t : Vec E) (p : Wgt (Rack I N)) (δ : ℝ)
15
- (hδ : 0≤δ) (hh : |avg unif p|≤δ) (h : ∀ f:Vec E,f≠0 →
16
- |avg unif (fun i=>phasedBy (ledgerM E f) i*p i)|≤bp (-(N:ℝ)/2)) :
17
- |partMean (fun x=>traced x E t) p|≤δ+bp (-(N:ℝ)/2) := by
18
- classical
19
- have he (f : Vec E) :
20
- |vectorPhase f t*avg unif (fun i : Rack I N=>phasedBy (ledgerM E f) i*p i)|≤ δ+bp (-(N:ℝ)/2) := by
21
- rw [abs_mul,vectorPhase,wsign_abs,one_mul]
22
- by_cases hz : f=0
23
- · subst f; simpa only [ledger_zero,layer_zero,one_mul] using hh.trans (le_add_of_nonneg_right (bp_pos (-(N:ℝ)/2)).le)
24
- exact (h f hz).trans (le_add_of_nonneg_left hδ)
25
- have hf : partMean (fun x=>traced x E t) p=avg unif (fun f:Vec E => vectorPhase f t*avg unif
26
- (fun i:Rack I N=>phasedBy (ledgerM E f) i*p i)) := by
27
- unfold partMean; simp_rw [rail_expand,←avg_mul]
28
- rw [avg_avg]; simp_rw [←avg_mul']; exact avg_congr (fun i _=>avg_congr fun j _=>by ring)
29
- rw [hf]
30
- exact (abs_avg_le unif_law.nz).trans (unif_law.avg_le he)
31
- namespace Template
32
- variable (v : Template p I)
33
-
34
- theorem pack_bound (v : Template p I) (j : I) (U : Wgt (Keys (p:=p) v.t N))
35
- (hU : ∀ i, |U i|≤1) (i) : |packSecs v j U i| ≤1 := by
36
- unfold packSecs; rw [Finset.abs_prod]
37
- exact (Finset.prod_le_prod₀ (fun i _=>abs_nonneg _) (fun i _ => hU _)).trans_eq (by simp)
38
-
39
- set_option maxHeartbeats 800000 in
40
- theorem lopsided (v : Template p I) (j : I) (q : I→F)
41
- (U : Wgt (Keys (p:=p) v.t N)) (δ : ℝ) (hδ : 0≤δ)
42
- (hU : ∀ x,|U x|≤1) (h : chairCut v j U δ)
43
- (hW : carried U (ownPart (p:=p) v.t q))
44
- (Z : GeoM v.seam) :
45
- |partMean (gramPart Z) (packSecs v j U)|≤δ+bp (-(N:ℝ)/2) := by
46
- classical
47
- let P := packSecs v j U
48
- let Q := gramPart Z (N:=N)
49
- have hb := bp_pos (-(N:ℝ)/2)
50
- by_cases hp : ∃ x,Q x∧P x≠0
51
- · obtain ⟨x,hx,hP⟩ := hp
52
- let E := cantRail v j
53
- let T (y : v.PackStack N) := traced y E (cantVec v j Z)
54
- have hg i : ind (Q i)*P i=ind (T i)*P i := by
55
- by_cases hh : P i=0
56
- · rw [hh,mul_zero,mul_zero]
57
- rw [show Q i=T i from propext
58
- (cant_bridge v j q Z x i (pack_gate v j q U hW hP) (pack_gate v j q U hW hh) hx)]
59
- change |avg unif (fun x => ind (Q x)*P x)|≤_
60
- simp_rw [hg]
61
- exact stip_mask E (cantVec v j Z) P δ hδ (global_quart v j U hU δ h) (cant_leak v j U hU)
62
- have hh (x) : ind (Q x)*P x=0 := by
63
- by_cases he : Q x <;> simp only [he,ind_true,ind_false,one_mul,zero_mul]
64
- exact not_ne_iff.mp (fun hx => hp ⟨x,he,hx⟩)
65
- change |avg unif (fun x=>ind (Q x)*P x)|≤_
66
- simp_rw [hh,avg_zero,abs_zero]
67
- exact add_nonneg hδ hb.le
68
-
69
- set_option maxHeartbeats 800000 in
70
- theorem pack_hot (v : Template p I) (j : I) (q : I→F) (U : Wgt (Keys (p:=p) v.t N))
71
- (δ : ℝ) (hδ : 0≤δ) (hU : ∀ x, |U x|≤1) (h : chairCut v j U δ)
72
- (hW : carried U (ownPart (p:=p) v.t q))
73
- (Z : GeoM v.seam) (k : ℝ) (hk : ∀ i,num (Port v.seam i)≤ k)
74
- (hN : 2*k-(N:ℝ) ≤ -1) :
75
- let W := netFact v.seam
76
- |avg (rackStation Z N) (packSecs v j U)|≤
77
- 2*W*(num (Ports p)*(2*bp (k-N)))+W*(δ+bp (-(N:ℝ)/2)) := by
78
- classical
79
- intro W
80
- let B := pr unif (gramPart Z (N:=N))
81
- have hb := wave_norm Z N (fun i => by linarith only [hN,hk i])
82
- have h0 : 0<W := netFact_pos
83
- have he : 0<B := (inv_pos_of_pos h0).trans_le hb
84
- let V := packSecs v j U
85
- let D := avg (rackWave Z N) V
86
- have hl := lopsided v j q U δ hδ hU h hW Z
87
- rw [part_reset _ _ he,abs_mul,abs_of_nonneg he.le] at hl
88
- have hh :
89
- |D| ≤ W*(δ+bp (-(N:ℝ)/2)) := by
90
- apply le_of_mul_le_mul_left _ (inv_pos_of_pos h0)
91
- exact (le_trans (mul_le_mul_of_nonneg_right hb (abs_nonneg _)) hl).trans_eq (by field_simp)
92
- let A := avg (rackStation Z N) V
93
- have hs := compare_station Z V (pack_bound v j U hU) k hk hN
94
- change |A|≤_
95
- exact le_trans (by simpa only [sub_zero] using (abs_sub_le A D 0)) (add_le_add hs hh)
96
- end Template
97
- end HadwigerCounterexample
98
-
99
- end
100
-
101
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.UnseenCrossingFactorization
2
+ import OAI.Combinatorics.HadwigerCounterexample.GramConditionedLaws
3
+
4
+ namespace OAI
5
+
6
+ /-! # Conditional Four Corners -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Finset Matrix Module LinearMap Function Filter
11
+ open scoped BigOperators
12
+ variable {p : Shape} {n N : ℕ} {I J : Type} [Fintype I] [DecidableEq I]
13
+ set_option maxHeartbeats 600000 in
14
+ private theorem stip_mask (E : Rail I) (t : Vec E) (p : Wgt (Rack I N)) (δ : ℝ)
15
+ (hδ : 0≤δ) (hh : |avg unif p|≤δ) (h : ∀ f:Vec E,f≠0 →
16
+ |avg unif (fun i=>phasedBy (ledgerM E f) i*p i)|≤bp (-(N:ℝ)/2)) :
17
+ |partMean (fun x=>traced x E t) p|≤δ+bp (-(N:ℝ)/2) := by
18
+ classical
19
+ have he (f : Vec E) :
20
+ |vectorPhase f t*avg unif (fun i : Rack I N=>phasedBy (ledgerM E f) i*p i)|≤ δ+bp (-(N:ℝ)/2) := by
21
+ rw [abs_mul,vectorPhase,wsign_abs,one_mul]
22
+ by_cases hz : f=0
23
+ · subst f; simpa only [ledger_zero,layer_zero,one_mul] using hh.trans (le_add_of_nonneg_right (bp_pos (-(N:ℝ)/2)).le)
24
+ exact (h f hz).trans (le_add_of_nonneg_left hδ)
25
+ have hf : partMean (fun x=>traced x E t) p=avg unif (fun f:Vec E => vectorPhase f t*avg unif
26
+ (fun i:Rack I N=>phasedBy (ledgerM E f) i*p i)) := by
27
+ unfold partMean; simp_rw [rail_expand,←avg_mul]
28
+ rw [avg_avg]; simp_rw [←avg_mul']; exact avg_congr (fun i _=>avg_congr fun j _=>by ring)
29
+ rw [hf]
30
+ exact (abs_avg_le unif_law.nz).trans (unif_law.avg_le he)
31
+ namespace Template
32
+ variable (v : Template p I)
33
+
34
+ theorem pack_bound (v : Template p I) (j : I) (U : Wgt (Keys (p:=p) v.t N))
35
+ (hU : ∀ i, |U i|≤1) (i) : |packSecs v j U i| ≤1 := by
36
+ unfold packSecs; rw [Finset.abs_prod]
37
+ exact (Finset.prod_le_prod₀ (fun i _=>abs_nonneg _) (fun i _ => hU _)).trans_eq (by simp)
38
+
39
+ set_option maxHeartbeats 800000 in
40
+ theorem lopsided (v : Template p I) (j : I) (q : I→F)
41
+ (U : Wgt (Keys (p:=p) v.t N)) (δ : ℝ) (hδ : 0≤δ)
42
+ (hU : ∀ x,|U x|≤1) (h : chairCut v j U δ)
43
+ (hW : carried U (ownPart (p:=p) v.t q))
44
+ (Z : GeoM v.seam) :
45
+ |partMean (gramPart Z) (packSecs v j U)|≤δ+bp (-(N:ℝ)/2) := by
46
+ classical
47
+ let P := packSecs v j U
48
+ let Q := gramPart Z (N:=N)
49
+ have hb := bp_pos (-(N:ℝ)/2)
50
+ by_cases hp : ∃ x,Q x∧P x≠0
51
+ · obtain ⟨x,hx,hP⟩ := hp
52
+ let E := cantRail v j
53
+ let T (y : v.PackStack N) := traced y E (cantVec v j Z)
54
+ have hg i : ind (Q i)*P i=ind (T i)*P i := by
55
+ by_cases hh : P i=0
56
+ · rw [hh,mul_zero,mul_zero]
57
+ rw [show Q i=T i from propext
58
+ (cant_bridge v j q Z x i (pack_gate v j q U hW hP) (pack_gate v j q U hW hh) hx)]
59
+ change |avg unif (fun x => ind (Q x)*P x)|≤_
60
+ simp_rw [hg]
61
+ exact stip_mask E (cantVec v j Z) P δ hδ (global_quart v j U hU δ h) (cant_leak v j U hU)
62
+ have hh (x) : ind (Q x)*P x=0 := by
63
+ by_cases he : Q x <;> simp only [he,ind_true,ind_false,one_mul,zero_mul]
64
+ exact not_ne_iff.mp (fun hx => hp ⟨x,he,hx⟩)
65
+ change |avg unif (fun x=>ind (Q x)*P x)|≤_
66
+ simp_rw [hh,avg_zero,abs_zero]
67
+ exact add_nonneg hδ hb.le
68
+
69
+ set_option maxHeartbeats 800000 in
70
+ theorem pack_hot (v : Template p I) (j : I) (q : I→F) (U : Wgt (Keys (p:=p) v.t N))
71
+ (δ : ℝ) (hδ : 0≤δ) (hU : ∀ x, |U x|≤1) (h : chairCut v j U δ)
72
+ (hW : carried U (ownPart (p:=p) v.t q))
73
+ (Z : GeoM v.seam) (k : ℝ) (hk : ∀ i,num (Port v.seam i)≤ k)
74
+ (hN : 2*k-(N:ℝ) ≤ -1) :
75
+ let W := netFact v.seam
76
+ |avg (rackStation Z N) (packSecs v j U)|≤
77
+ 2*W*(num (Ports p)*(2*bp (k-N)))+W*(δ+bp (-(N:ℝ)/2)) := by
78
+ classical
79
+ intro W
80
+ let B := pr unif (gramPart Z (N:=N))
81
+ have hb := wave_norm Z N (fun i => by linarith only [hN,hk i])
82
+ have h0 : 0<W := netFact_pos
83
+ have he : 0<B := (inv_pos_of_pos h0).trans_le hb
84
+ let V := packSecs v j U
85
+ let D := avg (rackWave Z N) V
86
+ have hl := lopsided v j q U δ hδ hU h hW Z
87
+ rw [part_reset _ _ he,abs_mul,abs_of_nonneg he.le] at hl
88
+ have hh :
89
+ |D| ≤ W*(δ+bp (-(N:ℝ)/2)) := by
90
+ apply le_of_mul_le_mul_left _ (inv_pos_of_pos h0)
91
+ exact (le_trans (mul_le_mul_of_nonneg_right hb (abs_nonneg _)) hl).trans_eq (by field_simp)
92
+ let A := avg (rackStation Z N) V
93
+ have hs := compare_station Z V (pack_bound v j U hU) k hk hN
94
+ change |A|≤_
95
+ exact le_trans (by simpa only [sub_zero] using (abs_sub_le A D 0)) (add_le_add hs hh)
96
+ end Template
97
+ end HadwigerCounterexample
98
+
99
+ end
100
+
101
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalLargeSetHits.lean CHANGED
@@ -1,106 +1,106 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SimultaneousProjection
2
-
3
- namespace OAI
4
-
5
- /-! # Conditional Large Set Hits -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix LinearMap Function
10
- open scoped BigOperators Topology
11
- open Template
12
- variable {p:Shape} {M n N K r s0:ℕ}
13
- namespace StatusAnalysis
14
- namespace Quill
15
- variable {q:Format} {d:Rates} {b:Bool} (w:Quill p q d b) (t : Tagging p (Messenger q))
16
- (z:Messenger q→F) (m:Mixer p n)
17
-
18
- def prelim (K:ℕ) (s:Charts p n d) (i:Messenger q) :=
19
- d (parcel b i)≤ K^2 ∧ Injective (s (parcel b i)) ∧
20
- ∀ x,totalRank (s (parcel b i) x)≤ K
21
-
22
- def sameInk (i:Messenger q) (v: Magazine p (d (parcel b i))) :=
23
- Appearance.nearly p (w.amp i).1 (w.amp i).2.1 v
24
-
25
- structure steady (K:ℕ) (s:Charts p n d) (o: UnitType p n N) : Prop where
26
- frame : PreparationParameters.frameSide p m o
27
- steadyAxes (i:Messenger q) : prelim (b:=b) K s i
28
- enough i : (w.amp i).1.diagO=(w.amp i).2.1.1
29
- sufficesP i :
30
- let j:= parcel b i; let x:=w.allure t z i
31
- carried (w.policies t z n i) (fun y=> w.sameInk i (x.profile j o m (s j) y) →
32
- x.profile j o m (s j) y=w.amp i)
33
-
34
- set_option maxHeartbeats 800000 in
35
- theorem thinGlaze (Y : Silhouette p N r) (o : UnitType p n N) (i : Messenger q)
36
- (s : Charts p n d) (k:AtomKey (p:=p) (t i) N)
37
- {δ : ℝ} (hd:0<δ)
38
- (hw:w.moral t z) (hp : w.steady t z m K s o)
39
- (he : gauze p δ δ Y m K o) (ht : 1≤p.r) (hn : 2*p.r≤n) :
40
- let x:=w.allure t z i
41
- δ ≤ x.reference Y (Y (t i) (z i) k) →
42
- basebeta p K/2 ≤ w.seraph t z o m s Y i k := by
43
- classical
44
- intro x h
45
- let j:=parcel b i
46
- let z':= w.amp i; let a:=Y (t i) (z i) k
47
- let μ:=x.reflected Y j o m (s j) a
48
- have hx : x.apt := w.allure_apt t z hw i
49
- have hm : IsLaw μ:= x.reflectedLaw Y (Appearance.witLaw hx ht hn) _ _ _ _ _
50
- obtain ⟨h1,h2,h3⟩:=hp.steadyAxes i
51
- have hh := x.demonstrates Y o (m:=m) (s j) K j a δ hd z'.1 z'.2.1.2 (hw.2.2 i)
52
- (hw.2.1 i) ht hn h (he _) h1 h2 h3
53
- have hq (y) (h:μ y≠0) (hz:w.sameInk i y): y=w.amp i := by
54
- let P := fun x=>w.sameInk i x → x=w.amp i
55
- have hb : carried μ P:= x.reflection_exact Y j o m (s j) a P (hp.sufficesP i)
56
- exact (show P y from not_not.mp fun hi=>h (hb y hi)) hz
57
- have h4 : (z'.1.diagO,z'.2.1.2)=z'.2.1 := Prod.ext (hp.enough i) rfl
58
- rw [h4] at hh
59
- exact hh.trans ((pr_on_mono hm.nz hq).trans_eq (pr_point' ..))
60
-
61
- theorem tinyCell_loss (Y:Silhouette p N r) {δ:ℝ} (hd:0≤δ) (i : Messenger q)
62
- (hN: 2*num (Messenger q×Toast p)-(N:ℝ)≤ -1)
63
- (hh:2*num (Toast p)-(N:ℝ)≤ -1) :
64
- let x:= w.allure t z i
65
- let μ:=lawNu p N t z
66
- pr μ (fun y=> x.reference Y (Y (t i) (z i) (y i)) < δ) ≤
67
- r*δ+2*netFact (trayPort p t)*bp (-(N:ℝ)/2) := by
68
- classical
69
- intro a μ
70
- let I:=Messenger q
71
- let Ω:=fun i=> lawOmega p N (t i) (z i)
72
- let S:=fun y=>a.reference Y (Y (t i) (z i) y)<δ
73
- let f : ∀ i:Messenger q,Wgt (AtomKey (p:=p) (t i) N) := fun j=>
74
- if h:j=i then h ▸ (fun x : AtomKey (p:=p) (t i) N=> ind (S x)) else fun _=>1
75
- have hi : f i=fun x=>ind (S x) := by unfold f; simp
76
- have hf j (h:j≠i) : f j=fun _ => 1 := by unfold f; simp [h]
77
- have hg j x : |f j x| ≤ 1 := by
78
- by_cases h:j=i
79
- · subst j; rw [hi]; exact (abs_of_nonneg (ind_nonneg _)).le.trans (ind_le_one _)
80
- rw [hf j h]; simp
81
- have he x : prodW f x= ind (S (x i)) := by
82
- unfold prodW; rw [Finset.prod_eq_single i _ (by simp),hi]
83
- intro b _ hb; rw [hf _ hb]
84
- have hR :
85
- ∏ i,avg (Ω i) (f i) = pr (Ω i) S := by
86
- rw [Finset.prod_eq_single i _ (by simp),hi]; rfl
87
- intro b _ hb; rw [hf _ hb,(omegaLaw _ _ _ hh).avg_const]
88
- let L:=2*netFact (trayPort p t)*bp (-(N:ℝ)/2)
89
- have hM : pr μ (fun x=> S (x i)) ≤ pr (Ω i) S+L := by
90
- have hm := reference_product t z f hg hN
91
- change |avg μ (prodW f)-∏ i,avg (Ω i) (f i)|≤L at hm
92
- rw [show prodW f=(fun x=>ind (S (x i))) from funext he,hR] at hm
93
- exact sub_le_iff_le_add'.mp ((abs_le.mp hm).2)
94
- have hZ : pr (Ω i) S ≤ r*δ := by
95
- let Q:=fun x=> a.reference Y x < δ
96
- rw [show pr (Ω i) S= pr (a.reference Y) Q from (mapW_pr (Ω i) (Y (t i) (z i)) Q).symm]
97
- exact haze_small _ δ hd
98
- exact hM.trans (add_le_add_left hZ _)
99
-
100
- end Quill
101
- end StatusAnalysis
102
- end HadwigerCounterexample
103
-
104
- end
105
-
106
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SimultaneousProjection
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditional Large Set Hits -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix LinearMap Function
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ variable {p:Shape} {M n N K r s0:ℕ}
13
+ namespace StatusAnalysis
14
+ namespace Quill
15
+ variable {q:Format} {d:Rates} {b:Bool} (w:Quill p q d b) (t : Tagging p (Messenger q))
16
+ (z:Messenger q→F) (m:Mixer p n)
17
+
18
+ def prelim (K:ℕ) (s:Charts p n d) (i:Messenger q) :=
19
+ d (parcel b i)≤ K^2 ∧ Injective (s (parcel b i)) ∧
20
+ ∀ x,totalRank (s (parcel b i) x)≤ K
21
+
22
+ def sameInk (i:Messenger q) (v: Magazine p (d (parcel b i))) :=
23
+ Appearance.nearly p (w.amp i).1 (w.amp i).2.1 v
24
+
25
+ structure steady (K:ℕ) (s:Charts p n d) (o: UnitType p n N) : Prop where
26
+ frame : PreparationParameters.frameSide p m o
27
+ steadyAxes (i:Messenger q) : prelim (b:=b) K s i
28
+ enough i : (w.amp i).1.diagO=(w.amp i).2.1.1
29
+ sufficesP i :
30
+ let j:= parcel b i; let x:=w.allure t z i
31
+ carried (w.policies t z n i) (fun y=> w.sameInk i (x.profile j o m (s j) y) →
32
+ x.profile j o m (s j) y=w.amp i)
33
+
34
+ set_option maxHeartbeats 800000 in
35
+ theorem thinGlaze (Y : Silhouette p N r) (o : UnitType p n N) (i : Messenger q)
36
+ (s : Charts p n d) (k:AtomKey (p:=p) (t i) N)
37
+ {δ : ℝ} (hd:0<δ)
38
+ (hw:w.moral t z) (hp : w.steady t z m K s o)
39
+ (he : gauze p δ δ Y m K o) (ht : 1≤p.r) (hn : 2*p.r≤n) :
40
+ let x:=w.allure t z i
41
+ δ ≤ x.reference Y (Y (t i) (z i) k) →
42
+ basebeta p K/2 ≤ w.seraph t z o m s Y i k := by
43
+ classical
44
+ intro x h
45
+ let j:=parcel b i
46
+ let z':= w.amp i; let a:=Y (t i) (z i) k
47
+ let μ:=x.reflected Y j o m (s j) a
48
+ have hx : x.apt := w.allure_apt t z hw i
49
+ have hm : IsLaw μ:= x.reflectedLaw Y (Appearance.witLaw hx ht hn) _ _ _ _ _
50
+ obtain ⟨h1,h2,h3⟩:=hp.steadyAxes i
51
+ have hh := x.demonstrates Y o (m:=m) (s j) K j a δ hd z'.1 z'.2.1.2 (hw.2.2 i)
52
+ (hw.2.1 i) ht hn h (he _) h1 h2 h3
53
+ have hq (y) (h:μ y≠0) (hz:w.sameInk i y): y=w.amp i := by
54
+ let P := fun x=>w.sameInk i x → x=w.amp i
55
+ have hb : carried μ P:= x.reflection_exact Y j o m (s j) a P (hp.sufficesP i)
56
+ exact (show P y from not_not.mp fun hi=>h (hb y hi)) hz
57
+ have h4 : (z'.1.diagO,z'.2.1.2)=z'.2.1 := Prod.ext (hp.enough i) rfl
58
+ rw [h4] at hh
59
+ exact hh.trans ((pr_on_mono hm.nz hq).trans_eq (pr_point' ..))
60
+
61
+ theorem tinyCell_loss (Y:Silhouette p N r) {δ:ℝ} (hd:0≤δ) (i : Messenger q)
62
+ (hN: 2*num (Messenger q×Toast p)-(N:ℝ)≤ -1)
63
+ (hh:2*num (Toast p)-(N:ℝ)≤ -1) :
64
+ let x:= w.allure t z i
65
+ let μ:=lawNu p N t z
66
+ pr μ (fun y=> x.reference Y (Y (t i) (z i) (y i)) < δ) ≤
67
+ r*δ+2*netFact (trayPort p t)*bp (-(N:ℝ)/2) := by
68
+ classical
69
+ intro a μ
70
+ let I:=Messenger q
71
+ let Ω:=fun i=> lawOmega p N (t i) (z i)
72
+ let S:=fun y=>a.reference Y (Y (t i) (z i) y)<δ
73
+ let f : ∀ i:Messenger q,Wgt (AtomKey (p:=p) (t i) N) := fun j=>
74
+ if h:j=i then h ▸ (fun x : AtomKey (p:=p) (t i) N=> ind (S x)) else fun _=>1
75
+ have hi : f i=fun x=>ind (S x) := by unfold f; simp
76
+ have hf j (h:j≠i) : f j=fun _ => 1 := by unfold f; simp [h]
77
+ have hg j x : |f j x| ≤ 1 := by
78
+ by_cases h:j=i
79
+ · subst j; rw [hi]; exact (abs_of_nonneg (ind_nonneg _)).le.trans (ind_le_one _)
80
+ rw [hf j h]; simp
81
+ have he x : prodW f x= ind (S (x i)) := by
82
+ unfold prodW; rw [Finset.prod_eq_single i _ (by simp),hi]
83
+ intro b _ hb; rw [hf _ hb]
84
+ have hR :
85
+ ∏ i,avg (Ω i) (f i) = pr (Ω i) S := by
86
+ rw [Finset.prod_eq_single i _ (by simp),hi]; rfl
87
+ intro b _ hb; rw [hf _ hb,(omegaLaw _ _ _ hh).avg_const]
88
+ let L:=2*netFact (trayPort p t)*bp (-(N:ℝ)/2)
89
+ have hM : pr μ (fun x=> S (x i)) ≤ pr (Ω i) S+L := by
90
+ have hm := reference_product t z f hg hN
91
+ change |avg μ (prodW f)-∏ i,avg (Ω i) (f i)|≤L at hm
92
+ rw [show prodW f=(fun x=>ind (S (x i))) from funext he,hR] at hm
93
+ exact sub_le_iff_le_add'.mp ((abs_le.mp hm).2)
94
+ have hZ : pr (Ω i) S ≤ r*δ := by
95
+ let Q:=fun x=> a.reference Y x < δ
96
+ rw [show pr (Ω i) S= pr (a.reference Y) Q from (mapW_pr (Ω i) (Y (t i) (z i)) Q).symm]
97
+ exact haze_small _ δ hd
98
+ exact hM.trans (add_le_add_left hZ _)
99
+
100
+ end Quill
101
+ end StatusAnalysis
102
+ end HadwigerCounterexample
103
+
104
+ end
105
+
106
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalProductLaws.lean CHANGED
@@ -1,125 +1,125 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteConditioning
2
-
3
- namespace OAI
4
-
5
- /-! # Conditional Product Laws -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
-
11
- variable {A B I : Type} [Fintype A] [Fintype B]
12
-
13
- theorem subLaw_pair {w : Wgt A} {v : Wgt B} (hw : SubLaw w) (hv : SubLaw v) :
14
- SubLaw (pairW w v) := by
15
- refine ⟨fun x => mul_nonneg (hw.nz _) (hv.nz _),?_⟩
16
- rw [pairW_tot]
17
- exact (mul_le_mul hw.total hv.total (tot_nonneg hv.nz) (by norm_num)).trans_eq (one_mul _)
18
-
19
- theorem pair_unif :
20
- unif (α:=A×B) = pairW unif unif := by
21
- funext x; simp [pairW,unif_apply,mul_comm]
22
-
23
- theorem unifOn_slice (p : A × B → Prop) (x : A) (y : B) :
24
- unifOn p (x,y) =
25
- mapW (unifOn p) Prod.fst x * unifOn (fun y => p (x,y)) y := by
26
- classical
27
- have hm : mapW (unifOn p) Prod.fst x =
28
- nbr (fun y => p (x,y)) / nbr p := by
29
- simp only [mapW,pr,avg,Fintype.sum_prod_type,unifOn_val, nbr,tot]
30
- rw [Finset.sum_eq_single x]
31
- · simp [ind_true,div_eq_mul_inv,Finset.sum_mul]
32
- · intro b _ hb
33
- simp [ind,hb]
34
- · simp
35
- rw [hm,unifOn_val,unifOn_val]
36
- by_cases h : p (x,y)
37
- · have hh {A : Type} [Fintype A] (p : A → Prop) (x : A) (hx : p x) : 0 < nbr p := by
38
- have hp := weight_le_tot (fun y => ind_nonneg (p y)) x
39
- exact lt_of_lt_of_le (ind_one hx ▸ zero_lt_one) hp
40
- rw [ind_one h]
41
- have hv := hh _ _ h
42
- have hw := hh (fun y => p (x,y)) _ h
43
- field_simp
44
- · rw [ind_zero h]
45
- ring
46
-
47
- theorem unifOn_and (p q : A → Prop) :
48
- onW (unifOn p) q = unifOn (fun x => p x ∧ q x) := by
49
- classical
50
- have hp : pr (unifOn p) q = nbr (fun x => p x ∧ q x) / nbr p := by
51
- simp only [pr,avg,unifOn_val,div_eq_mul_inv,ind_and,nbr,tot,Finset.sum_mul]
52
- refine Finset.sum_congr rfl fun i _ => ?_
53
- ring
54
- funext x
55
- rw [onW_val,hp,unifOn_val,unifOn_val,ind_and]
56
- by_cases h : p x
57
- · by_cases g : q x
58
- · have hl (p : A → Prop) (h : p x) : 0 < nbr p :=
59
- lt_of_lt_of_le (ind_one h ▸ zero_lt_one) (weight_le_tot (fun y => ind_nonneg (p y)) x)
60
- have hh := hl p h
61
- have hg := hl (fun x => p x ∧ q x) ⟨h,g⟩
62
- field_simp
63
- · rw [ind_zero g]
64
- ring
65
- · rw [ind_zero h]
66
- ring
67
-
68
- theorem unifOn_and_prod (p : A → Prop) (q : B → Prop) :
69
- unifOn (fun x : A × B => p x.1 ∧ q x.2) = pairW (unifOn p) (unifOn q) := by
70
- have h :
71
- nbr (fun x : A × B => p x.1 ∧ q x.2) = nbr p * nbr q := by
72
- change tot _ = _ * _
73
- simp_rw [ind_and]
74
- exact pairW_tot (fun x => ind (p x)) (fun y => ind (q y))
75
- funext x
76
- simp only [pairW,unifOn_val,h,ind_and]
77
- ring_nf
78
-
79
- theorem pr_cap {w v : Wgt A} {c : ℝ} (h : ∀ x, w x ≤ c*v x) (p : A → Prop) :
80
- pr w p ≤ c*pr v p := calc
81
- _ ≤ pr (fun x => c*v x) p := pr_mono_left (w:=w) (v:=fun x => c*v x) h _
82
- _ = _ := by simp only [pr,avg,Finset.mul_sum,mul_assoc]
83
-
84
- def semi (w : Wgt A) (k : A → Wgt B) : Wgt (A × B) := fun x => w x.1 * k x.1 x.2
85
-
86
- theorem semi_avg (w : Wgt A) (k : A → Wgt B) (f : A × B → ℝ) :
87
- avg (semi w k) f = avg w (fun x => avg (k x) (fun y => f (x,y))) := by
88
- simp only [avg,semi,Fintype.sum_prod_type,Finset.mul_sum,mul_assoc]
89
-
90
- theorem pair_semi_avg (w w' : Wgt A) (k k' : A → Wgt B) (f : (A × B) × (A × B) → ℝ) :
91
- avg (pairW (semi w k) (semi w' k')) f =
92
- avg (pairW w w') (fun x =>
93
- avg (pairW (k x.1) (k' x.2)) (fun y => f ((x.1,y.1), (x.2,y.2)))) := by
94
- simp only [pairW_avg, semi_avg]
95
- refine avg_congr fun x _ => ?_
96
- exact avg_avg _ _ _
97
-
98
- theorem pair_semi_pr (w w' : Wgt A) (k k' : A → Wgt B) (p : A × A → Prop) (q : B × B → Prop) :
99
- pr (pairW (semi w k) (semi w' k')) (fun x => p (x.1.1,x.2.1) ∧ q (x.1.2,x.2.2)) =
100
- avg (pairW w w') (fun x => ind (p x) * pr (pairW (k x.1) (k' x.2)) q) := by
101
- unfold pr
102
- rw [pair_semi_avg]
103
- simp_rw [ind_and]
104
- refine avg_congr fun x _ => ?_
105
- exact avg_mul' _ _ _
106
-
107
- variable [Fintype I] [DecidableEq I]
108
-
109
- /-- Reassociate two arrays of independent columns into componentwise independent pairs. -/
110
- theorem prodW_pair_pr (w v : I → Wgt A) (p : I → A × A → Prop) :
111
- pr (pairW (prodW w) (prodW v)) (fun x => ∀ i, p i (x.1 i,x.2 i)) =
112
- ∏ i, pr (pairW (w i) (v i)) (p i) := by
113
- simp_rw [pr,ind_all,pairW_avg]
114
- have hx (x : I → A) :
115
- avg (prodW v) (fun y => ∏ i, ind (p i (x i,y i))) =
116
- ∏ i, avg (v i) (fun y => ind (p i (x i,y))) :=
117
- prodW_avg _ (fun i y => ind (p i (x i,y)))
118
- simp_rw [hx]
119
- exact prodW_avg w (fun i x => avg (v i) (fun y => ind (p i (x,y))))
120
-
121
- end HadwigerCounterexample
122
-
123
- end
124
-
125
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteConditioning
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditional Product Laws -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+
11
+ variable {A B I : Type} [Fintype A] [Fintype B]
12
+
13
+ theorem subLaw_pair {w : Wgt A} {v : Wgt B} (hw : SubLaw w) (hv : SubLaw v) :
14
+ SubLaw (pairW w v) := by
15
+ refine ⟨fun x => mul_nonneg (hw.nz _) (hv.nz _),?_⟩
16
+ rw [pairW_tot]
17
+ exact (mul_le_mul hw.total hv.total (tot_nonneg hv.nz) (by norm_num)).trans_eq (one_mul _)
18
+
19
+ theorem pair_unif :
20
+ unif (α:=A×B) = pairW unif unif := by
21
+ funext x; simp [pairW,unif_apply,mul_comm]
22
+
23
+ theorem unifOn_slice (p : A × B → Prop) (x : A) (y : B) :
24
+ unifOn p (x,y) =
25
+ mapW (unifOn p) Prod.fst x * unifOn (fun y => p (x,y)) y := by
26
+ classical
27
+ have hm : mapW (unifOn p) Prod.fst x =
28
+ nbr (fun y => p (x,y)) / nbr p := by
29
+ simp only [mapW,pr,avg,Fintype.sum_prod_type,unifOn_val, nbr,tot]
30
+ rw [Finset.sum_eq_single x]
31
+ · simp [ind_true,div_eq_mul_inv,Finset.sum_mul]
32
+ · intro b _ hb
33
+ simp [ind,hb]
34
+ · simp
35
+ rw [hm,unifOn_val,unifOn_val]
36
+ by_cases h : p (x,y)
37
+ · have hh {A : Type} [Fintype A] (p : A → Prop) (x : A) (hx : p x) : 0 < nbr p := by
38
+ have hp := weight_le_tot (fun y => ind_nonneg (p y)) x
39
+ exact lt_of_lt_of_le (ind_one hx ▸ zero_lt_one) hp
40
+ rw [ind_one h]
41
+ have hv := hh _ _ h
42
+ have hw := hh (fun y => p (x,y)) _ h
43
+ field_simp
44
+ · rw [ind_zero h]
45
+ ring
46
+
47
+ theorem unifOn_and (p q : A → Prop) :
48
+ onW (unifOn p) q = unifOn (fun x => p x ∧ q x) := by
49
+ classical
50
+ have hp : pr (unifOn p) q = nbr (fun x => p x ∧ q x) / nbr p := by
51
+ simp only [pr,avg,unifOn_val,div_eq_mul_inv,ind_and,nbr,tot,Finset.sum_mul]
52
+ refine Finset.sum_congr rfl fun i _ => ?_
53
+ ring
54
+ funext x
55
+ rw [onW_val,hp,unifOn_val,unifOn_val,ind_and]
56
+ by_cases h : p x
57
+ · by_cases g : q x
58
+ · have hl (p : A → Prop) (h : p x) : 0 < nbr p :=
59
+ lt_of_lt_of_le (ind_one h ▸ zero_lt_one) (weight_le_tot (fun y => ind_nonneg (p y)) x)
60
+ have hh := hl p h
61
+ have hg := hl (fun x => p x ∧ q x) ⟨h,g⟩
62
+ field_simp
63
+ · rw [ind_zero g]
64
+ ring
65
+ · rw [ind_zero h]
66
+ ring
67
+
68
+ theorem unifOn_and_prod (p : A → Prop) (q : B → Prop) :
69
+ unifOn (fun x : A × B => p x.1 ∧ q x.2) = pairW (unifOn p) (unifOn q) := by
70
+ have h :
71
+ nbr (fun x : A × B => p x.1 ∧ q x.2) = nbr p * nbr q := by
72
+ change tot _ = _ * _
73
+ simp_rw [ind_and]
74
+ exact pairW_tot (fun x => ind (p x)) (fun y => ind (q y))
75
+ funext x
76
+ simp only [pairW,unifOn_val,h,ind_and]
77
+ ring_nf
78
+
79
+ theorem pr_cap {w v : Wgt A} {c : ℝ} (h : ∀ x, w x ≤ c*v x) (p : A → Prop) :
80
+ pr w p ≤ c*pr v p := calc
81
+ _ ≤ pr (fun x => c*v x) p := pr_mono_left (w:=w) (v:=fun x => c*v x) h _
82
+ _ = _ := by simp only [pr,avg,Finset.mul_sum,mul_assoc]
83
+
84
+ def semi (w : Wgt A) (k : A → Wgt B) : Wgt (A × B) := fun x => w x.1 * k x.1 x.2
85
+
86
+ theorem semi_avg (w : Wgt A) (k : A → Wgt B) (f : A × B → ℝ) :
87
+ avg (semi w k) f = avg w (fun x => avg (k x) (fun y => f (x,y))) := by
88
+ simp only [avg,semi,Fintype.sum_prod_type,Finset.mul_sum,mul_assoc]
89
+
90
+ theorem pair_semi_avg (w w' : Wgt A) (k k' : A → Wgt B) (f : (A × B) × (A × B) → ℝ) :
91
+ avg (pairW (semi w k) (semi w' k')) f =
92
+ avg (pairW w w') (fun x =>
93
+ avg (pairW (k x.1) (k' x.2)) (fun y => f ((x.1,y.1), (x.2,y.2)))) := by
94
+ simp only [pairW_avg, semi_avg]
95
+ refine avg_congr fun x _ => ?_
96
+ exact avg_avg _ _ _
97
+
98
+ theorem pair_semi_pr (w w' : Wgt A) (k k' : A → Wgt B) (p : A × A → Prop) (q : B × B → Prop) :
99
+ pr (pairW (semi w k) (semi w' k')) (fun x => p (x.1.1,x.2.1) ∧ q (x.1.2,x.2.2)) =
100
+ avg (pairW w w') (fun x => ind (p x) * pr (pairW (k x.1) (k' x.2)) q) := by
101
+ unfold pr
102
+ rw [pair_semi_avg]
103
+ simp_rw [ind_and]
104
+ refine avg_congr fun x _ => ?_
105
+ exact avg_mul' _ _ _
106
+
107
+ variable [Fintype I] [DecidableEq I]
108
+
109
+ /-- Reassociate two arrays of independent columns into componentwise independent pairs. -/
110
+ theorem prodW_pair_pr (w v : I → Wgt A) (p : I → A × A → Prop) :
111
+ pr (pairW (prodW w) (prodW v)) (fun x => ∀ i, p i (x.1 i,x.2 i)) =
112
+ ∏ i, pr (pairW (w i) (v i)) (p i) := by
113
+ simp_rw [pr,ind_all,pairW_avg]
114
+ have hx (x : I → A) :
115
+ avg (prodW v) (fun y => ∏ i, ind (p i (x i,y i))) =
116
+ ∏ i, avg (v i) (fun y => ind (p i (x i,y))) :=
117
+ prodW_avg _ (fun i y => ind (p i (x i,y)))
118
+ simp_rw [hx]
119
+ exact prodW_avg w (fun i x => avg (v i) (fun y => ind (p i (x,y))))
120
+
121
+ end HadwigerCounterexample
122
+
123
+ end
124
+
125
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalProjection.lean CHANGED
@@ -1,96 +1,96 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.HistogramBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Conditional Projection -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real Function
10
- open scoped BigOperators
11
- variable {A B C K : Type} [Fintype A] [Fintype B] [Fintype C]
12
-
13
- def dip (μ f g : Wgt A) := avg μ (fun i => f i*g i)
14
- def ode (μ f : Wgt A) := dip μ f f
15
- def cashbook (μ : Wgt A) (f : A→B) (g : Wgt A) :=
16
- fun i => mapW (fun x => μ x*g x) f i / mapW μ f i
17
- def banner (μ : Wgt A) (f : A→B) (g : Wgt A) := cashbook μ f g ∘ f
18
-
19
- theorem ode_nonneg {μ : Wgt A} (hμ : ∀ i,0 ≤ μ i) (f : Wgt A) : 0≤ ode μ f :=
20
- avg_nonneg hμ (fun _ => mul_self_nonneg _)
21
- theorem ode_upper {μ : Wgt A} (hμ : SubLaw μ) (f : Wgt A) (B : ℝ)
22
- (hf : ∀ i,|f i|≤B) : ode μ f ≤ B^2 := by
23
- apply hμ.avg_le (sq_nonneg _)
24
- intro i
25
- exact (le_of_eq (Eq.symm (pow_two _))).trans
26
- ((le_of_eq (sq_abs (f i)).symm).trans (pow_le_pow_left₀ (abs_nonneg _) (hf i) 2))
27
-
28
- theorem dip_sym (μ f g : Wgt A) : dip μ f g=dip μ g f := by unfold dip; simp only [mul_comm]
29
- theorem dip_sub (μ f g h : Wgt A) :
30
- dip μ (fun i=> f i-g i) h=dip μ f h-dip μ g h := by
31
- unfold dip; simp only [sub_mul,avg_sub]
32
-
33
- omit [Fintype B] in
34
- theorem cashbook_bound (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : A→B) (g : Wgt A)
35
- (b : ℝ) (hb : 0≤b) (h : ∀ i,|g i|≤b) (i) : |cashbook μ f g i| ≤ b := by
36
- have he : cashbook μ f g i=avg (onW μ (fun x=>f x=i)) g := by
37
- unfold cashbook onW
38
- rw [avg_norm,subW_tot]
39
- unfold mapW pr avg subW; congr 1
40
- exact Finset.sum_congr rfl fun j _ => by ring
41
- have hw : SubLaw (onW μ (fun x=>f x=i)) := normW_subLaw (subW_nonneg hμ _)
42
- rw [he]
43
- exact (abs_avg_le hw.nz).trans (hw.avg_le hb h)
44
-
45
- theorem cash_orth (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : A→B) (g : Wgt A) (h : Wgt B) :
46
- dip μ (banner μ f g) (h ∘ f)=dip μ g (h ∘ f) := by
47
- classical
48
- let w := fun x=> μ x*g x
49
- have he : pour μ f (mapW w f) = fun i => μ i*banner μ f g i := rfl
50
- have hz : lsupp w μ := fun _ hi => left_ne_zero_of_mul hi
51
- have ht := map_pour μ f _ (hz.map hμ f)
52
- rw [he] at ht
53
- have hi := congrArg (fun w' => avg w' h) ht
54
- simp_rw [mapW_avg] at hi
55
- simpa only [w,dip,avg,mul_assoc,Function.comp_apply] using hi
56
-
57
- theorem ode_step (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : Wgt A)
58
- (p : A→B) (q : B→C) :
59
- ode μ (banner μ p f)=ode μ (banner μ (q∘p) f)+
60
- ode μ (fun i => banner μ p f i - banner μ (q∘p) f i) := by
61
- classical
62
- let g := banner μ p f; let h := banner μ (q ∘ p) f
63
- have hh : ode μ h=dip μ g h :=
64
- (cash_orth μ hμ (q∘p) f (cashbook μ (q∘p) f)).trans
65
- (cash_orth μ hμ p f (cashbook μ (q∘p) f ∘ q)).symm
66
- have hi i : (g i - h i)*(g i-h i)=g i*g i - 2*(g i*h i)+h i*h i := by ring
67
- change ode μ g=ode μ h+dip μ (fun i => g i-h i) (fun i=>g i-h i)
68
- unfold dip
69
- simp_rw [hi,avg_add,avg_sub,avg_mul']
70
- change ode μ g=ode μ h+(ode μ g-2*dip μ g h + ode μ h)
71
- linarith only [hh]
72
-
73
- theorem archive_gain {μ : Wgt A} (hw : SubLaw μ) (f : Wgt A)
74
- (p : A→B) (q : B→ C)
75
- (h : Wgt B) (hh : ∀ i:A,|h (p i)| ≤1) :
76
- (dip μ (fun i => f i - banner μ (q∘p) f i) (h ∘ p))^2 ≤
77
- ode μ (banner μ p f)-ode μ (banner μ (q∘p) f) := by
78
- let u := banner μ p f; let v := banner μ (q∘p) f
79
- let w i := u i-v i
80
- rw [ode_step μ hw.nz f p q]
81
- have he : dip μ (fun i=> f i - banner μ (q∘p) f i) (h∘p)=dip μ w (h∘p) := by
82
- unfold w
83
- rw [dip_sub,dip_sub,cash_orth μ hw.nz p f h]
84
- have ht : ode μ (h∘p) ≤ 1 := (ode_upper hw (h∘p) 1 hh).trans_eq (by ring)
85
- have hq : dip μ w (h∘p)^2≤ode μ w*ode μ (h∘p) := by
86
- simpa only [ode,dip,pow_two] using avg_CS hw.nz w (h∘p)
87
- rw [he]
88
- apply le_trans hq
89
- refine (mul_le_mul_of_nonneg_left ht (ode_nonneg hw.nz w)).trans_eq ?_
90
- unfold w u v
91
- ring
92
- end HadwigerCounterexample
93
-
94
- end
95
-
96
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.HistogramBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditional Projection -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real Function
10
+ open scoped BigOperators
11
+ variable {A B C K : Type} [Fintype A] [Fintype B] [Fintype C]
12
+
13
+ def dip (μ f g : Wgt A) := avg μ (fun i => f i*g i)
14
+ def ode (μ f : Wgt A) := dip μ f f
15
+ def cashbook (μ : Wgt A) (f : A→B) (g : Wgt A) :=
16
+ fun i => mapW (fun x => μ x*g x) f i / mapW μ f i
17
+ def banner (μ : Wgt A) (f : A→B) (g : Wgt A) := cashbook μ f g ∘ f
18
+
19
+ theorem ode_nonneg {μ : Wgt A} (hμ : ∀ i,0 ≤ μ i) (f : Wgt A) : 0≤ ode μ f :=
20
+ avg_nonneg hμ (fun _ => mul_self_nonneg _)
21
+ theorem ode_upper {μ : Wgt A} (hμ : SubLaw μ) (f : Wgt A) (B : ℝ)
22
+ (hf : ∀ i,|f i|≤B) : ode μ f ≤ B^2 := by
23
+ apply hμ.avg_le (sq_nonneg _)
24
+ intro i
25
+ exact (le_of_eq (Eq.symm (pow_two _))).trans
26
+ ((le_of_eq (sq_abs (f i)).symm).trans (pow_le_pow_left₀ (abs_nonneg _) (hf i) 2))
27
+
28
+ theorem dip_sym (μ f g : Wgt A) : dip μ f g=dip μ g f := by unfold dip; simp only [mul_comm]
29
+ theorem dip_sub (μ f g h : Wgt A) :
30
+ dip μ (fun i=> f i-g i) h=dip μ f h-dip μ g h := by
31
+ unfold dip; simp only [sub_mul,avg_sub]
32
+
33
+ omit [Fintype B] in
34
+ theorem cashbook_bound (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : A→B) (g : Wgt A)
35
+ (b : ℝ) (hb : 0≤b) (h : ∀ i,|g i|≤b) (i) : |cashbook μ f g i| ≤ b := by
36
+ have he : cashbook μ f g i=avg (onW μ (fun x=>f x=i)) g := by
37
+ unfold cashbook onW
38
+ rw [avg_norm,subW_tot]
39
+ unfold mapW pr avg subW; congr 1
40
+ exact Finset.sum_congr rfl fun j _ => by ring
41
+ have hw : SubLaw (onW μ (fun x=>f x=i)) := normW_subLaw (subW_nonneg hμ _)
42
+ rw [he]
43
+ exact (abs_avg_le hw.nz).trans (hw.avg_le hb h)
44
+
45
+ theorem cash_orth (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : A→B) (g : Wgt A) (h : Wgt B) :
46
+ dip μ (banner μ f g) (h ∘ f)=dip μ g (h ∘ f) := by
47
+ classical
48
+ let w := fun x=> μ x*g x
49
+ have he : pour μ f (mapW w f) = fun i => μ i*banner μ f g i := rfl
50
+ have hz : lsupp w μ := fun _ hi => left_ne_zero_of_mul hi
51
+ have ht := map_pour μ f _ (hz.map hμ f)
52
+ rw [he] at ht
53
+ have hi := congrArg (fun w' => avg w' h) ht
54
+ simp_rw [mapW_avg] at hi
55
+ simpa only [w,dip,avg,mul_assoc,Function.comp_apply] using hi
56
+
57
+ theorem ode_step (μ : Wgt A) (hμ : ∀ i,0≤ μ i) (f : Wgt A)
58
+ (p : A→B) (q : B→C) :
59
+ ode μ (banner μ p f)=ode μ (banner μ (q∘p) f)+
60
+ ode μ (fun i => banner μ p f i - banner μ (q∘p) f i) := by
61
+ classical
62
+ let g := banner μ p f; let h := banner μ (q ∘ p) f
63
+ have hh : ode μ h=dip μ g h :=
64
+ (cash_orth μ hμ (q∘p) f (cashbook μ (q∘p) f)).trans
65
+ (cash_orth μ hμ p f (cashbook μ (q∘p) f ∘ q)).symm
66
+ have hi i : (g i - h i)*(g i-h i)=g i*g i - 2*(g i*h i)+h i*h i := by ring
67
+ change ode μ g=ode μ h+dip μ (fun i => g i-h i) (fun i=>g i-h i)
68
+ unfold dip
69
+ simp_rw [hi,avg_add,avg_sub,avg_mul']
70
+ change ode μ g=ode μ h+(ode μ g-2*dip μ g h + ode μ h)
71
+ linarith only [hh]
72
+
73
+ theorem archive_gain {μ : Wgt A} (hw : SubLaw μ) (f : Wgt A)
74
+ (p : A→B) (q : B→ C)
75
+ (h : Wgt B) (hh : ∀ i:A,|h (p i)| ≤1) :
76
+ (dip μ (fun i => f i - banner μ (q∘p) f i) (h ∘ p))^2 ≤
77
+ ode μ (banner μ p f)-ode μ (banner μ (q∘p) f) := by
78
+ let u := banner μ p f; let v := banner μ (q∘p) f
79
+ let w i := u i-v i
80
+ rw [ode_step μ hw.nz f p q]
81
+ have he : dip μ (fun i=> f i - banner μ (q∘p) f i) (h∘p)=dip μ w (h∘p) := by
82
+ unfold w
83
+ rw [dip_sub,dip_sub,cash_orth μ hw.nz p f h]
84
+ have ht : ode μ (h∘p) ≤ 1 := (ode_upper hw (h∘p) 1 hh).trans_eq (by ring)
85
+ have hq : dip μ w (h∘p)^2≤ode μ w*ode μ (h∘p) := by
86
+ simpa only [ode,dip,pow_two] using avg_CS hw.nz w (h∘p)
87
+ rw [he]
88
+ apply le_trans hq
89
+ refine (mul_le_mul_of_nonneg_left ht (ode_nonneg hw.nz w)).trans_eq ?_
90
+ unfold w u v
91
+ ring
92
+ end HadwigerCounterexample
93
+
94
+ end
95
+
96
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionalSignaturePositivity.lean CHANGED
@@ -1,110 +1,110 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.CellPositivityScales
2
-
3
- namespace OAI
4
-
5
- /-! # Conditional Signature Positivity -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix Function
10
- open scoped BigOperators Topology
11
- variable {p:Shape} {n N K r d : ℕ}
12
- namespace StatusAnalysis
13
- open Template
14
-
15
- namespace Appearance
16
- variable (x : Appearance p) (Y : Silhouette p N r)
17
-
18
- theorem smudges (o : UnitType p n N) (m:Mixer p n) (v : Ax p n d) (i:Nodes) (j : Knobs p.g n) :
19
- (x.profile i o m v j).2.1=((scan p x.l x.f j).diagO,stains x.trot m v j) := by
20
- apply Prod.ext
21
- · exact role_scan p _ _ _ _
22
- funext i; exact T_swap m _ _
23
-
24
- def nearly (p: Shape) (z: Digest p.g) (u: Par d) (x: Magazine p d) :=
25
- x.1=z∧ x.2.1=u
26
-
27
- set_option maxHeartbeats 800000 in
28
- theorem demonstrates (o : UnitType p n N) {m : Mixer p n}
29
- (v : Ax p n d) (K:ℕ) (i:Nodes) (j:Fin r) (δ : ℝ) (hd:0<δ)
30
- (z : Digest p.g) (u:Cell d)
31
- (he : z.feasible x.l x.f) (hf : z.sumBit=x.q) (ht : 1≤p.r) (hn : 2*p.r≤n)
32
- (hh : δ≤ x.reference Y j)
33
- (hs : smoothSilk p δ δ Y m K (onSide o i)) (hK : d≤K^2)
34
- (hV : Injective v) (hv : ∀ x,totalRank (v x) ≤ K) :
35
- basebeta p K/2 ≤ pr (x.reflected Y i o m v j) (nearly p z (z.diagO,u)) := by
36
- classical
37
- have ha : x.apt := ⟨z,he,hf⟩
38
- let μ:= x.reference Y j
39
- let f := onSide o i
40
- obtain ⟨hM,hB⟩:= hs x
41
- specialize hM ha
42
- specialize hB z j he hf hh
43
- let U (y:AtomKey (p:=p) (x.trot.t ()) N) := Y x.l x.q y=j
44
- have hm : basebeta p K*μ ≤
45
- pr (x.wit n) (fun y=> (scan p x.l x.f y=z∧Y x.l x.q (x.face f y)=j) ∧
46
- stains x.trot m v y=u) := by
47
- let h := patrol_beta x.trot U m K z he ht hn f
48
- dsimp only at h
49
- rw [hf] at h
50
- exact h hB d hK v hV hv u
51
- let w := nearly p z (z.diagO,u)
52
- have hq (y : Knobs p.g n) :
53
- (scan p x.l x.f y=z ∧ Y x.l x.q (x.face f y)=j) ∧ stains x.trot m v y=u →
54
- x.showTag Y (onSide o i) y=j∧ w (x.profile i o m v y) := by
55
- rintro ⟨⟨h,h1⟩,h2⟩
56
- refine ⟨h1,h,?_⟩; rw [smudges,h,h2]
57
- have hW := witLaw ha ht hn
58
- have heq := (hm.trans (pr_mono hW.nz hq)).trans_eq (x.show_pr Y i o m v hW j w)
59
- let ν:= x.empirical Y f j
60
- have h2 : ν ≤ 2*μ := by
61
- have hz : |μ-ν|≤δ := le_trans
62
- (Finset.single_le_sum (fun k _ => abs_nonneg (x.reference Y k-x.empirical Y f k))
63
- (Finset.mem_univ j)) hM
64
- change δ≤ μ at hh
65
- linarith [(abs_le.mp hz).1]
66
- let Q := pr (x.reflected Y i o m v j) w
67
- have h3 : basebeta p K*μ≤ ν*Q := heq
68
- have ht := mul_le_mul_of_nonneg_right h2
69
- (show 0≤ Q from pr_nonneg (x.reflectedLaw Y hW i o m v j).nz)
70
- apply le_of_mul_le_mul_right _ (hd.trans_le hh)
71
- change _*μ ≤ Q*μ
72
- linarith only [h3,ht]
73
-
74
- def fitsink (x : Appearance p) (w : Magazine p d) :=
75
- w.1.feasible x.l x.f ∧ w.1.sumBit=x.q ∧ w.1.diagO=w.2.1.1
76
- theorem rawink (x : Appearance p) (m : Mixer p n) (i : Nodes) (o : UnitType p n N)
77
- (v : Ax p n d) :
78
- carried (x.wit n) (x.fitsink ∘ x.profile i o m v) := by
79
- let w:=x.wit n
80
- have hC : carried w (fun y=>dialed p x.l x.f y=x.q) :=
81
- normW_carried (subW_carried (spins p n) _)
82
- intro y hi
83
- refine hC y (fun h=>?_); apply hi
84
- refine ⟨?_,h, (role_scan p _ _ _ _).symm⟩
85
- intro j hj
86
- unfold profile; change scan p x.l x.f y j=0
87
- unfold scan
88
- simp [hj]
89
- theorem refInk (i : Nodes) (o : UnitType p n N) (m:Mixer p n) (v : Ax p n d)
90
- (j:Fin r) : carried (x.reflected Y i o m v j) x.fitsink :=
91
- reflection_exact x Y i o m v j _ (rawink x m i o v)
92
-
93
- end Appearance
94
-
95
- theorem haze_small (w : Wgt (Fin r)) (δ : ℝ) (hδ : 0≤δ) :
96
- pr w (fun x=> w x < δ) ≤ r*δ := by
97
- classical
98
- unfold pr avg
99
- refine (Finset.sum_le_sum (s:=Finset.univ) (g:=fun _=>δ) (fun i _=>?_)).trans_eq (by simp)
100
- dsimp only
101
- by_cases h:w i<δ
102
- · rw [ind_one h,mul_one]; exact h.le
103
- rw [ind_zero h,mul_zero]; exact hδ
104
-
105
- end StatusAnalysis
106
- end HadwigerCounterexample
107
-
108
- end
109
-
110
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.CellPositivityScales
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditional Signature Positivity -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix Function
10
+ open scoped BigOperators Topology
11
+ variable {p:Shape} {n N K r d : ℕ}
12
+ namespace StatusAnalysis
13
+ open Template
14
+
15
+ namespace Appearance
16
+ variable (x : Appearance p) (Y : Silhouette p N r)
17
+
18
+ theorem smudges (o : UnitType p n N) (m:Mixer p n) (v : Ax p n d) (i:Nodes) (j : Knobs p.g n) :
19
+ (x.profile i o m v j).2.1=((scan p x.l x.f j).diagO,stains x.trot m v j) := by
20
+ apply Prod.ext
21
+ · exact role_scan p _ _ _ _
22
+ funext i; exact T_swap m _ _
23
+
24
+ def nearly (p: Shape) (z: Digest p.g) (u: Par d) (x: Magazine p d) :=
25
+ x.1=z∧ x.2.1=u
26
+
27
+ set_option maxHeartbeats 800000 in
28
+ theorem demonstrates (o : UnitType p n N) {m : Mixer p n}
29
+ (v : Ax p n d) (K:ℕ) (i:Nodes) (j:Fin r) (δ : ℝ) (hd:0<δ)
30
+ (z : Digest p.g) (u:Cell d)
31
+ (he : z.feasible x.l x.f) (hf : z.sumBit=x.q) (ht : 1≤p.r) (hn : 2*p.r≤n)
32
+ (hh : δ≤ x.reference Y j)
33
+ (hs : smoothSilk p δ δ Y m K (onSide o i)) (hK : d≤K^2)
34
+ (hV : Injective v) (hv : ∀ x,totalRank (v x) ≤ K) :
35
+ basebeta p K/2 ≤ pr (x.reflected Y i o m v j) (nearly p z (z.diagO,u)) := by
36
+ classical
37
+ have ha : x.apt := ⟨z,he,hf⟩
38
+ let μ:= x.reference Y j
39
+ let f := onSide o i
40
+ obtain ⟨hM,hB⟩:= hs x
41
+ specialize hM ha
42
+ specialize hB z j he hf hh
43
+ let U (y:AtomKey (p:=p) (x.trot.t ()) N) := Y x.l x.q y=j
44
+ have hm : basebeta p K*μ ≤
45
+ pr (x.wit n) (fun y=> (scan p x.l x.f y=z∧Y x.l x.q (x.face f y)=j) ∧
46
+ stains x.trot m v y=u) := by
47
+ let h := patrol_beta x.trot U m K z he ht hn f
48
+ dsimp only at h
49
+ rw [hf] at h
50
+ exact h hB d hK v hV hv u
51
+ let w := nearly p z (z.diagO,u)
52
+ have hq (y : Knobs p.g n) :
53
+ (scan p x.l x.f y=z ∧ Y x.l x.q (x.face f y)=j) ∧ stains x.trot m v y=u →
54
+ x.showTag Y (onSide o i) y=j∧ w (x.profile i o m v y) := by
55
+ rintro ⟨⟨h,h1⟩,h2⟩
56
+ refine ⟨h1,h,?_⟩; rw [smudges,h,h2]
57
+ have hW := witLaw ha ht hn
58
+ have heq := (hm.trans (pr_mono hW.nz hq)).trans_eq (x.show_pr Y i o m v hW j w)
59
+ let ν:= x.empirical Y f j
60
+ have h2 : ν ≤ 2*μ := by
61
+ have hz : |μ-ν|≤δ := le_trans
62
+ (Finset.single_le_sum (fun k _ => abs_nonneg (x.reference Y k-x.empirical Y f k))
63
+ (Finset.mem_univ j)) hM
64
+ change δ≤ μ at hh
65
+ linarith [(abs_le.mp hz).1]
66
+ let Q := pr (x.reflected Y i o m v j) w
67
+ have h3 : basebeta p K*μ≤ ν*Q := heq
68
+ have ht := mul_le_mul_of_nonneg_right h2
69
+ (show 0≤ Q from pr_nonneg (x.reflectedLaw Y hW i o m v j).nz)
70
+ apply le_of_mul_le_mul_right _ (hd.trans_le hh)
71
+ change _*μ ≤ Q*μ
72
+ linarith only [h3,ht]
73
+
74
+ def fitsink (x : Appearance p) (w : Magazine p d) :=
75
+ w.1.feasible x.l x.f ∧ w.1.sumBit=x.q ∧ w.1.diagO=w.2.1.1
76
+ theorem rawink (x : Appearance p) (m : Mixer p n) (i : Nodes) (o : UnitType p n N)
77
+ (v : Ax p n d) :
78
+ carried (x.wit n) (x.fitsink ∘ x.profile i o m v) := by
79
+ let w:=x.wit n
80
+ have hC : carried w (fun y=>dialed p x.l x.f y=x.q) :=
81
+ normW_carried (subW_carried (spins p n) _)
82
+ intro y hi
83
+ refine hC y (fun h=>?_); apply hi
84
+ refine ⟨?_,h, (role_scan p _ _ _ _).symm⟩
85
+ intro j hj
86
+ unfold profile; change scan p x.l x.f y j=0
87
+ unfold scan
88
+ simp [hj]
89
+ theorem refInk (i : Nodes) (o : UnitType p n N) (m:Mixer p n) (v : Ax p n d)
90
+ (j:Fin r) : carried (x.reflected Y i o m v j) x.fitsink :=
91
+ reflection_exact x Y i o m v j _ (rawink x m i o v)
92
+
93
+ end Appearance
94
+
95
+ theorem haze_small (w : Wgt (Fin r)) (δ : ℝ) (hδ : 0≤δ) :
96
+ pr w (fun x=> w x < δ) ≤ r*δ := by
97
+ classical
98
+ unfold pr avg
99
+ refine (Finset.sum_le_sum (s:=Finset.univ) (g:=fun _=>δ) (fun i _=>?_)).trans_eq (by simp)
100
+ dsimp only
101
+ by_cases h:w i<δ
102
+ · rw [ind_one h,mul_one]; exact h.le
103
+ rw [ind_zero h,mul_zero]; exact hδ
104
+
105
+ end StatusAnalysis
106
+ end HadwigerCounterexample
107
+
108
+ end
109
+
110
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionedBatchLaws.lean CHANGED
@@ -1,198 +1,198 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.IndependentWeightCorrelation
2
-
3
- namespace OAI
4
-
5
- /-! # Conditioned Batch Laws -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Module LinearMap Submodule Function Finset
11
- variable {I J G H : Type} [Fintype I] [Fintype J] [Fintype G] [Fintype H]
12
- variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
13
- variable {N : ℕ}
14
-
15
- def street (g : Route (I×J) G) (i : I) : Route J G := fun j => g (i,j)
16
- def condLane (g : Route (I×J) G) (i : I) (z : G) (k : Port (street g i) z) :
17
- Port g z := ⟨(i,k.val),k.property⟩
18
- def laneM {g : Route (I×J) G} (Z : GeoM g) (i : I) :
19
- GeoM (street g i) :=
20
- fun z => (Z z).submatrix (condLane g i z) (condLane g i z)
21
-
22
- private theorem cut_inj {I J : Type} [Fintype I] [Fintype J] [DecidableEq I]
23
- (A : PlusRack I N) (h : Injective A.mulVec) {g : J→I} (hg : Injective g) :
24
- Injective (A.submatrix _root_.id g).mulVec := by
25
- rw [← mul_embedMat]
26
- exact inj_comp_mat _ _ h (embedMat_inj hg)
27
-
28
- variable {g : Route (I×J) G}
29
-
30
- omit [Fintype G] in
31
- set_option maxHeartbeats 600000 in
32
- theorem laneGram (Z : GeoM g) (x : Rack (I × J) N) (h : bothPart Z x) (i : I) :
33
- bothPart (laneM Z i) (led i x) := by
34
- classical
35
- obtain ⟨hh,hj⟩ := (both_test ..).mp h
36
- apply (both_test ..).mpr
37
- constructor
38
- · refine (part_scores ..).mpr fun q a b => ?_
39
- exact (part_scores ..).mp hh q (condLane g i q a) (condLane g i q b)
40
- intro j
41
- let f := condLane g i j
42
- have he : Injective f := by intro a b h; exact Subtype.ext (congrArg
43
- (fun x : Port g j => x.val.2) h)
44
- exact ⟨cut_inj (rackEquiv g N x j).1 (hj j).1 he,
45
- cut_inj (rackEquiv g N x j).2 (hj j).2 he⟩
46
-
47
- def crossroads (g : Route (I×J) G) :=
48
- (crowded g)\(cInside g)
49
- def outsideZ (Z : GeoM g) : Vec (crossroads g) :=
50
- fun x => directions g Z ⟨x.val,Finset.sdiff_subset x.property⟩
51
-
52
- omit [Fintype G] in
53
- private theorem road_iff (Z : GeoM g) (x : Rack (I×J) N) :
54
- bothPart Z x ↔ (traced x (crossroads g) (outsideZ Z) ∧
55
- (∀ i,bothPart (laneM Z i) (led i x))) ∧injPart g x := by
56
- classical
57
- constructor
58
- · intro h
59
- have ht := (both_test ..).mp h
60
- refine ⟨⟨?_,laneGram Z x h⟩,ht.2⟩
61
- funext i
62
- exact congr_fun ((match_crowd x g Z).mpr ht.1) (⟨i.val,Finset.sdiff_subset i.property⟩ :
63
- ↑(crowded g))
64
- rintro ⟨⟨ht,hH⟩,hf⟩
65
- refine (both_test ..).mpr ⟨(part_scores ..).mpr ?_,hf⟩
66
- intro i a b
67
- rcases a with ⟨⟨l,x'⟩,hl⟩
68
- rcases b with ⟨⟨t,y⟩,hr⟩
69
- subst i
70
- let j := g (l,x')
71
- by_cases hh : l=t
72
- · subst t
73
- let a : Port (street g l) j := ⟨x',rfl⟩
74
- let b : Port (street g l) j := ⟨y,hr⟩
75
- exact (part_scores ..).mp ((both_test ..).mp (hH l)).1 j a b
76
- let z : I×J := (l,x')
77
- let v : I×J := (t,y)
78
- have hv : (z,v)∈crossroads g := Finset.mem_sdiff.mpr
79
- ⟨Finset.mem_filter.mpr ⟨mem_univ _,hr.symm⟩,fun h => hh (mem_filter.mp h).2⟩
80
- exact congr_fun ht (⟨(z,v),hv⟩ : ↑(crossroads g))
81
-
82
- private def condMean (p : H→Prop) (f : Wgt H) :=
83
- avg unif (fun x => ind (p x)*f x)
84
- private theorem cond_reset [Nonempty H] (p : H→Prop) (f : Wgt H) (h : 0<pr unif p) :
85
- condMean p f=pr unif p * avg (unifOn p) f := by
86
- rw [←on_unif]; unfold onW
87
- rw [avg_norm,subW_tot]
88
- have he : condMean p f = avg (subW unif p) f := by simp only [avg,subW,mul_assoc]; rfl
89
- rw [he]
90
- field_simp
91
-
92
- def twinkle (_ : Route (I×J) G) (k : ℝ) (N : ℕ) :=
93
- num G * (2*bp (k-N))+bp (-(N:ℝ)/2)
94
-
95
- set_option maxHeartbeats 800000 in
96
- private theorem lane_means (Z : GeoM g) (f : I → Wgt (Rack J N)) (hf : ∀ i x,|f i x|≤1)
97
- (k : ℝ) (hk : ∀ i,num (Port g i)≤k) :
98
- |condMean (bothPart Z) (brightProd f) - bp (-( (crossroads g).card:ℝ)) *
99
- ∏ i,condMean (bothPart (laneM Z i)) (f i)|≤twinkle g k N := by
100
- classical
101
- let E := crossroads g
102
- let F i (x : Rack J N) := ind (bothPart (laneM Z i) x)*f i x
103
- have hF i x : |F i x|≤1 := by
104
- unfold F; by_cases h : bothPart (laneM Z i) x <;> simp only [h,ind_true,ind_false,one_mul,
105
- zero_mul]; exact hf i x; norm_num
106
- have hE i (h : i∈E) : i.1.1≠i.2.1 := fun he =>
107
- (mem_sdiff.mp h).2 (mem_filter.mpr ⟨(mem_sdiff.mp h).1,he⟩)
108
- have ht := speed_expand F hF E (outsideZ Z) hE
109
- have hP : avg unif (brightProd F)=∏ i, condMean (bothPart (laneM Z i)) (f i) :=
110
- (led_uniform (prodW F)).trans (prodW_avg _ _)
111
- let A x := ind (traced x E (outsideZ Z))*brightProd F x
112
- have hA x : |A x|≤1 := by
113
- by_cases h : traced x E (outsideZ Z)
114
- · unfold A; rw [ind_one h,one_mul]; exact lane_abs F hF _ x
115
- unfold A; rw [ind_zero h,zero_mul]; norm_num
116
- have hi x :
117
- ind (bothPart Z x) * brightProd f x= ind (injPart g x) * A x := by
118
- rw [road_iff]; unfold A F
119
- simp only [ind_and, ind_all,brightProd,Finset.prod_mul_distrib]
120
- ring
121
- have hg :
122
- |condMean (bothPart Z) (brightProd f) - avg unif A|≤ num G*(2*bp (k-N)) := by
123
- unfold condMean
124
- simp_rw [hi]
125
- rw [← avg_sub]
126
- refine (abs_avg_le unif_law.nz).trans ((avg_mono unif_law.nz (g:=fun x =>
127
- ind (¬injPart g x)) fun i => ?_).trans (injPart_failure g N k hk))
128
- by_cases h : injPart g i <;>
129
- simp only [h,ind_true,not_true,ind_false,one_mul,sub_self,abs_zero,zero_mul,zero_sub,
130
- abs_neg,not_false_eq_true]; exact le_rfl; exact hA _
131
- rw [hP] at ht
132
- unfold twinkle
133
- apply le_trans _ (add_le_add hg ht)
134
- exact abs_sub_le ..
135
-
136
- omit [DecidableEq I] in
137
- theorem lane_norm (Z : GeoM g) (hN : ∀ i, 2*num (Port g i)-(N:ℝ)≤ -1)
138
- (i : I) : 0<pr unif (bothPart (laneM Z i) (N:=N)) := by
139
- have he j : Injective (condLane g i j) := by intro a b h; exact Subtype.ext (congrArg
140
- (fun x : Port g j => x.val.2) h)
141
- have hx j : num (Port (street g i) j)≤num (Port g j) := by
142
- exact_mod_cast Fintype.card_le_of_injective _ (he j)
143
- refine lt_of_lt_of_le (inv_pos_of_pos netFact_pos) (net_norm (laneM Z i) N (fun j => ?_)).1
144
- linarith only [hx j,hN j]
145
-
146
- set_option maxHeartbeats 800000 in
147
- theorem compare_lanes (Z : GeoM g) (f : I→ Wgt (Rack J N)) (hf : ∀ i x,|f i x|≤1)
148
- (k : ℝ) (hk : ∀ i,num (Port g i)≤k) (hN : ∀ i,2*num (Port g i)-(N:ℝ)≤ -1) :
149
- |avg (rackStation Z N) (brightProd f)- ∏ i,avg (rackStation (laneM Z i) N) (f i)|≤
150
- 2*netFact g*twinkle g k N := by
151
- classical
152
- let A := pr unif (bothPart (N:=N) Z)
153
- let B i := pr unif (bothPart (N:=N) (laneM Z i))
154
- let u := avg (rackStation Z N) (brightProd f)
155
- let v i := avg (rackStation (laneM Z i) N) (f i)
156
- let P := bp (- ((crossroads g).card:ℝ))*(∏ i, B i)
157
- let V := ∏ i,v i
158
- have hV : |V|≤1 := by
159
- unfold V
160
- rw [Finset.abs_prod]
161
- have he (i) :
162
- SubLaw (rackStation (laneM Z i) N) := unifOn_sub _
163
- refine (Finset.prod_le_prod₀ (fun i _ => abs_nonneg _)
164
- (fun i _ => (abs_avg_le (he i).nz).trans ((he i).avg_le zero_le_one (hf i)))).trans_eq ?_
165
- simp
166
- have hh := net_norm Z N hN
167
- have h0 : 0<A := (inv_pos_of_pos netFact_pos).trans_le hh.1
168
- have h1 : |A*u-P*V|≤twinkle g k N := by
169
- have hb := lane_norm (N:=N) Z hN
170
- have ht := lane_means Z f hf k hk
171
- rw [cond_reset (bothPart (N:=N) Z) _ h0] at ht
172
- simp_rw [cond_reset _ _ (hb _)] at ht; rw [Finset.prod_mul_distrib] at ht
173
- simpa only [A,B,u,v,P,V,rackStation,mul_assoc] using ht
174
- have h2 : |A-P|≤ twinkle g k N := by
175
- let F (i:I) := fun _ : Rack J N => (1:ℝ)
176
- have ht := lane_means Z F (by intro i x; simp [F]) k hk
177
- have he (i : I) :
178
- condMean (bothPart (laneM Z i)) (F i)=B i := by simp only [F,condMean,mul_one]; rfl
179
- have hx :
180
- condMean (bothPart (N:=N) Z) (brightProd F)=A := by
181
- simp only [F,brightProd,condMean,Finset.prod_const_one,mul_one,A,pr]
182
- simp_rw [he,hx] at ht; exact ht
183
- have hg : A * |u-V|≤2*twinkle g k N := by
184
- have hh : |(A-P)*V|≤twinkle g k N := by
185
- rw [abs_mul]; exact ((mul_le_mul_of_nonneg_left hV (abs_nonneg _)).trans_eq (mul_one _)).trans h2
186
- calc A*|u-V|= |(A*u-P*V)-(A-P)*V| := by
187
- rw [show A*u-P*V-(A-P)*V=(A*(u-V)) by ring,abs_mul,abs_of_nonneg h0.le]
188
- _ ≤ _ := ((abs_sub ..).trans (add_le_add h1 hh)).trans_eq (two_mul _).symm
189
- apply le_of_mul_le_mul_left _ (inv_pos_of_pos (netFact_pos (f:=g)))
190
- exact ((mul_le_mul_of_nonneg_right hh.1 (abs_nonneg _)).trans hg).trans_eq (by
191
- have h := netFact_pos (f:=g)
192
- field_simp)
193
-
194
- end HadwigerCounterexample
195
-
196
- end
197
-
198
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.IndependentWeightCorrelation
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditioned Batch Laws -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Module LinearMap Submodule Function Finset
11
+ variable {I J G H : Type} [Fintype I] [Fintype J] [Fintype G] [Fintype H]
12
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
13
+ variable {N : ℕ}
14
+
15
+ def street (g : Route (I×J) G) (i : I) : Route J G := fun j => g (i,j)
16
+ def condLane (g : Route (I×J) G) (i : I) (z : G) (k : Port (street g i) z) :
17
+ Port g z := ⟨(i,k.val),k.property⟩
18
+ def laneM {g : Route (I×J) G} (Z : GeoM g) (i : I) :
19
+ GeoM (street g i) :=
20
+ fun z => (Z z).submatrix (condLane g i z) (condLane g i z)
21
+
22
+ private theorem cut_inj {I J : Type} [Fintype I] [Fintype J] [DecidableEq I]
23
+ (A : PlusRack I N) (h : Injective A.mulVec) {g : J→I} (hg : Injective g) :
24
+ Injective (A.submatrix _root_.id g).mulVec := by
25
+ rw [← mul_embedMat]
26
+ exact inj_comp_mat _ _ h (embedMat_inj hg)
27
+
28
+ variable {g : Route (I×J) G}
29
+
30
+ omit [Fintype G] in
31
+ set_option maxHeartbeats 600000 in
32
+ theorem laneGram (Z : GeoM g) (x : Rack (I × J) N) (h : bothPart Z x) (i : I) :
33
+ bothPart (laneM Z i) (led i x) := by
34
+ classical
35
+ obtain ⟨hh,hj⟩ := (both_test ..).mp h
36
+ apply (both_test ..).mpr
37
+ constructor
38
+ · refine (part_scores ..).mpr fun q a b => ?_
39
+ exact (part_scores ..).mp hh q (condLane g i q a) (condLane g i q b)
40
+ intro j
41
+ let f := condLane g i j
42
+ have he : Injective f := by intro a b h; exact Subtype.ext (congrArg
43
+ (fun x : Port g j => x.val.2) h)
44
+ exact ⟨cut_inj (rackEquiv g N x j).1 (hj j).1 he,
45
+ cut_inj (rackEquiv g N x j).2 (hj j).2 he⟩
46
+
47
+ def crossroads (g : Route (I×J) G) :=
48
+ (crowded g)\(cInside g)
49
+ def outsideZ (Z : GeoM g) : Vec (crossroads g) :=
50
+ fun x => directions g Z ⟨x.val,Finset.sdiff_subset x.property⟩
51
+
52
+ omit [Fintype G] in
53
+ private theorem road_iff (Z : GeoM g) (x : Rack (I×J) N) :
54
+ bothPart Z x ↔ (traced x (crossroads g) (outsideZ Z) ∧
55
+ (∀ i,bothPart (laneM Z i) (led i x))) ∧injPart g x := by
56
+ classical
57
+ constructor
58
+ · intro h
59
+ have ht := (both_test ..).mp h
60
+ refine ⟨⟨?_,laneGram Z x h⟩,ht.2⟩
61
+ funext i
62
+ exact congr_fun ((match_crowd x g Z).mpr ht.1) (⟨i.val,Finset.sdiff_subset i.property⟩ :
63
+ ↑(crowded g))
64
+ rintro ⟨⟨ht,hH⟩,hf⟩
65
+ refine (both_test ..).mpr ⟨(part_scores ..).mpr ?_,hf⟩
66
+ intro i a b
67
+ rcases a with ⟨⟨l,x'⟩,hl⟩
68
+ rcases b with ⟨⟨t,y⟩,hr⟩
69
+ subst i
70
+ let j := g (l,x')
71
+ by_cases hh : l=t
72
+ · subst t
73
+ let a : Port (street g l) j := ⟨x',rfl⟩
74
+ let b : Port (street g l) j := ⟨y,hr⟩
75
+ exact (part_scores ..).mp ((both_test ..).mp (hH l)).1 j a b
76
+ let z : I×J := (l,x')
77
+ let v : I×J := (t,y)
78
+ have hv : (z,v)∈crossroads g := Finset.mem_sdiff.mpr
79
+ ⟨Finset.mem_filter.mpr ⟨mem_univ _,hr.symm⟩,fun h => hh (mem_filter.mp h).2⟩
80
+ exact congr_fun ht (⟨(z,v),hv⟩ : ↑(crossroads g))
81
+
82
+ private def condMean (p : H→Prop) (f : Wgt H) :=
83
+ avg unif (fun x => ind (p x)*f x)
84
+ private theorem cond_reset [Nonempty H] (p : H→Prop) (f : Wgt H) (h : 0<pr unif p) :
85
+ condMean p f=pr unif p * avg (unifOn p) f := by
86
+ rw [←on_unif]; unfold onW
87
+ rw [avg_norm,subW_tot]
88
+ have he : condMean p f = avg (subW unif p) f := by simp only [avg,subW,mul_assoc]; rfl
89
+ rw [he]
90
+ field_simp
91
+
92
+ def twinkle (_ : Route (I×J) G) (k : ℝ) (N : ℕ) :=
93
+ num G * (2*bp (k-N))+bp (-(N:ℝ)/2)
94
+
95
+ set_option maxHeartbeats 800000 in
96
+ private theorem lane_means (Z : GeoM g) (f : I → Wgt (Rack J N)) (hf : ∀ i x,|f i x|≤1)
97
+ (k : ℝ) (hk : ∀ i,num (Port g i)≤k) :
98
+ |condMean (bothPart Z) (brightProd f) - bp (-( (crossroads g).card:ℝ)) *
99
+ ∏ i,condMean (bothPart (laneM Z i)) (f i)|≤twinkle g k N := by
100
+ classical
101
+ let E := crossroads g
102
+ let F i (x : Rack J N) := ind (bothPart (laneM Z i) x)*f i x
103
+ have hF i x : |F i x|≤1 := by
104
+ unfold F; by_cases h : bothPart (laneM Z i) x <;> simp only [h,ind_true,ind_false,one_mul,
105
+ zero_mul]; exact hf i x; norm_num
106
+ have hE i (h : i∈E) : i.1.1≠i.2.1 := fun he =>
107
+ (mem_sdiff.mp h).2 (mem_filter.mpr ⟨(mem_sdiff.mp h).1,he⟩)
108
+ have ht := speed_expand F hF E (outsideZ Z) hE
109
+ have hP : avg unif (brightProd F)=∏ i, condMean (bothPart (laneM Z i)) (f i) :=
110
+ (led_uniform (prodW F)).trans (prodW_avg _ _)
111
+ let A x := ind (traced x E (outsideZ Z))*brightProd F x
112
+ have hA x : |A x|≤1 := by
113
+ by_cases h : traced x E (outsideZ Z)
114
+ · unfold A; rw [ind_one h,one_mul]; exact lane_abs F hF _ x
115
+ unfold A; rw [ind_zero h,zero_mul]; norm_num
116
+ have hi x :
117
+ ind (bothPart Z x) * brightProd f x= ind (injPart g x) * A x := by
118
+ rw [road_iff]; unfold A F
119
+ simp only [ind_and, ind_all,brightProd,Finset.prod_mul_distrib]
120
+ ring
121
+ have hg :
122
+ |condMean (bothPart Z) (brightProd f) - avg unif A|≤ num G*(2*bp (k-N)) := by
123
+ unfold condMean
124
+ simp_rw [hi]
125
+ rw [← avg_sub]
126
+ refine (abs_avg_le unif_law.nz).trans ((avg_mono unif_law.nz (g:=fun x =>
127
+ ind (¬injPart g x)) fun i => ?_).trans (injPart_failure g N k hk))
128
+ by_cases h : injPart g i <;>
129
+ simp only [h,ind_true,not_true,ind_false,one_mul,sub_self,abs_zero,zero_mul,zero_sub,
130
+ abs_neg,not_false_eq_true]; exact le_rfl; exact hA _
131
+ rw [hP] at ht
132
+ unfold twinkle
133
+ apply le_trans _ (add_le_add hg ht)
134
+ exact abs_sub_le ..
135
+
136
+ omit [DecidableEq I] in
137
+ theorem lane_norm (Z : GeoM g) (hN : ∀ i, 2*num (Port g i)-(N:ℝ)≤ -1)
138
+ (i : I) : 0<pr unif (bothPart (laneM Z i) (N:=N)) := by
139
+ have he j : Injective (condLane g i j) := by intro a b h; exact Subtype.ext (congrArg
140
+ (fun x : Port g j => x.val.2) h)
141
+ have hx j : num (Port (street g i) j)≤num (Port g j) := by
142
+ exact_mod_cast Fintype.card_le_of_injective _ (he j)
143
+ refine lt_of_lt_of_le (inv_pos_of_pos netFact_pos) (net_norm (laneM Z i) N (fun j => ?_)).1
144
+ linarith only [hx j,hN j]
145
+
146
+ set_option maxHeartbeats 800000 in
147
+ theorem compare_lanes (Z : GeoM g) (f : I→ Wgt (Rack J N)) (hf : ∀ i x,|f i x|≤1)
148
+ (k : ℝ) (hk : ∀ i,num (Port g i)≤k) (hN : ∀ i,2*num (Port g i)-(N:ℝ)≤ -1) :
149
+ |avg (rackStation Z N) (brightProd f)- ∏ i,avg (rackStation (laneM Z i) N) (f i)|≤
150
+ 2*netFact g*twinkle g k N := by
151
+ classical
152
+ let A := pr unif (bothPart (N:=N) Z)
153
+ let B i := pr unif (bothPart (N:=N) (laneM Z i))
154
+ let u := avg (rackStation Z N) (brightProd f)
155
+ let v i := avg (rackStation (laneM Z i) N) (f i)
156
+ let P := bp (- ((crossroads g).card:ℝ))*(∏ i, B i)
157
+ let V := ∏ i,v i
158
+ have hV : |V|≤1 := by
159
+ unfold V
160
+ rw [Finset.abs_prod]
161
+ have he (i) :
162
+ SubLaw (rackStation (laneM Z i) N) := unifOn_sub _
163
+ refine (Finset.prod_le_prod₀ (fun i _ => abs_nonneg _)
164
+ (fun i _ => (abs_avg_le (he i).nz).trans ((he i).avg_le zero_le_one (hf i)))).trans_eq ?_
165
+ simp
166
+ have hh := net_norm Z N hN
167
+ have h0 : 0<A := (inv_pos_of_pos netFact_pos).trans_le hh.1
168
+ have h1 : |A*u-P*V|≤twinkle g k N := by
169
+ have hb := lane_norm (N:=N) Z hN
170
+ have ht := lane_means Z f hf k hk
171
+ rw [cond_reset (bothPart (N:=N) Z) _ h0] at ht
172
+ simp_rw [cond_reset _ _ (hb _)] at ht; rw [Finset.prod_mul_distrib] at ht
173
+ simpa only [A,B,u,v,P,V,rackStation,mul_assoc] using ht
174
+ have h2 : |A-P|≤ twinkle g k N := by
175
+ let F (i:I) := fun _ : Rack J N => (1:ℝ)
176
+ have ht := lane_means Z F (by intro i x; simp [F]) k hk
177
+ have he (i : I) :
178
+ condMean (bothPart (laneM Z i)) (F i)=B i := by simp only [F,condMean,mul_one]; rfl
179
+ have hx :
180
+ condMean (bothPart (N:=N) Z) (brightProd F)=A := by
181
+ simp only [F,brightProd,condMean,Finset.prod_const_one,mul_one,A,pr]
182
+ simp_rw [he,hx] at ht; exact ht
183
+ have hg : A * |u-V|≤2*twinkle g k N := by
184
+ have hh : |(A-P)*V|≤twinkle g k N := by
185
+ rw [abs_mul]; exact ((mul_le_mul_of_nonneg_left hV (abs_nonneg _)).trans_eq (mul_one _)).trans h2
186
+ calc A*|u-V|= |(A*u-P*V)-(A-P)*V| := by
187
+ rw [show A*u-P*V-(A-P)*V=(A*(u-V)) by ring,abs_mul,abs_of_nonneg h0.le]
188
+ _ ≤ _ := ((abs_sub ..).trans (add_le_add h1 hh)).trans_eq (two_mul _).symm
189
+ apply le_of_mul_le_mul_left _ (inv_pos_of_pos (netFact_pos (f:=g)))
190
+ exact ((mul_le_mul_of_nonneg_right hh.1 (abs_nonneg _)).trans hg).trans_eq (by
191
+ have h := netFact_pos (f:=g)
192
+ field_simp)
193
+
194
+ end HadwigerCounterexample
195
+
196
+ end
197
+
198
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConditionedCorrelations.lean CHANGED
@@ -1,97 +1,97 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BilinearBlockCorrelation
2
-
3
- namespace OAI
4
-
5
- /-! # Conditioned Correlations -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real Filter Matrix LinearMap Function
10
- open scoped BigOperators
11
- variable {p : Shape} {I A : Type} [Fintype I] [Fintype A]
12
- variable {n : ℕ}
13
-
14
- set_option maxHeartbeats 600000 in
15
- theorem spark_condition (p : Shape) (M : Moment p n) (s t : Label p.b) (l j : Tag p.g)
16
- (f g : Flavor p.g) (B) (hB : f.keeps l B) (hB' : g.keeps j B)
17
- (w u : Wgt (Knobs p.g n)) (hw : ∀ i,|w i|≤1) (hu : ∀ i,|u i|≤1)
18
- (μ δ : Wgt (Knobs p.g n)) (hμ : IsLaw μ) (hδ : IsLaw δ)
19
- (C : ℝ) (hC : 0<C)
20
- (hc : ∀ i,μ i ≤ C*unif i) (hc' : ∀ i,δ i ≤ C*unif i)
21
- (hM : n ≤ 5*blockRank B s t M) :
22
- let Q i z := evmat M (spring p l s f i) (spring p j t g z)
23
- |avg (pairW μ δ) (fun x => wsign (Q x.1 x.2)*(w x.1*u x.2))|≤
24
- C^2*bp (-(n:ℝ)/10) := by
25
- classical
26
- intro Q
27
- let V := Knobs p.g n
28
- let fit (f p : Wgt V) := fun i => p i*f i/(C*unif i)
29
- have h0 (i : V) : 0<C*unif i := by rw [unif_apply]; positivity
30
- have hh (t p : Wgt V) (ht : ∀ i, |t i|≤1) (hp : IsLaw p) (h : ∀ i,p i≤C*unif i) i :
31
- |fit t p i|≤1 := by
32
- unfold fit; rw [abs_div,abs_of_pos (h0 i),abs_mul,abs_of_nonneg (hp.nz _)]
33
- refine (div_le_one (h0 i)).mpr ?_
34
- exact ((mul_le_mul_of_nonneg_left (ht _) (hp.nz _)).trans_eq (mul_one _)).trans (h _)
35
- let F (x : V×V) := wsign (Q x.1 x.2)*(w x.1*u x.2)
36
- let Z (x : V×V) := wsign (Q x.1 x.2)*(fit w μ x.1*fit u δ x.2)
37
- have he :
38
- avg (pairW μ δ) F=C^2 * avg (pairW unif unif) Z := by
39
- unfold avg; rw [Finset.mul_sum]
40
- refine sum_congr rfl fun i _ => ?_
41
- unfold Z F fit pairW
42
- have h1 := h0 i.1; have h2 := h0 i.2
43
- have h3 : unif i.1 ≠ 0 := by rw [unif_apply]; positivity
44
- have h4 : unif i.2 ≠ 0 := by rw [unif_apply]; positivity
45
- field_simp
46
- change |avg (pairW μ δ) F|≤_
47
- rw [he,abs_mul,abs_of_nonneg (sq_nonneg _)]
48
- have hi : (n:ℝ)≤5*blockRank B s t M := by exact_mod_cast hM
49
- exact mul_le_mul_of_nonneg_left ((spark_uncap p M s t l j f g B hB hB'
50
- _ _ (hh w μ hw hμ hc) (hh u δ hu hδ hc')).trans (bp_le (by linarith only [hi]))) (sq_nonneg _)
51
-
52
- def litFire (p : Shape) {n N : ℕ} (x : UnitType p n N) :=
53
- ∀ (s t : Label p.b) (c : Vec (Notches p)), c≠0 →
54
- n≤5*blockRank Block.Z s t (issue p c x)
55
-
56
- theorem litFire_calendar (p : Shape) (C : ℝ) (M : ℕ) (hM : 4≤M) :
57
- ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n), 2*num (Full p n)<N →
58
- ∀ w : Wgt (UnitType p n N),
59
- (∀ i,w i ≤ bp (C*N)*pairW (raw m N) (raw m N) i) →
60
- pr w (fun i => ¬litFire p i) ≤ bp (-(n:ℝ)*n/8) := by
61
- classical
62
- let I := Label p.b × Label p.b × Vec (Notches p)
63
- have ht := bp_poly_dom_nat (a:=1) zero_lt_one (num I) 0
64
- filter_upwards [issue_live p,ht,(tendsto_natCast_atTop_atTop (R:=ℝ)).eventually
65
- (eventually_ge_atTop (8*(C*M+1)))]
66
- with n hn hp hab N m hN w h
67
- change 8*(C*M+1)≤ (n:ℝ) at hab
68
- refine (pr_cap h _).trans ?_
69
- let Q (i : I) (x : UnitType p n N) :=
70
- i.2.2≠0 ∧ 5*blockRank Block.Z i.1 i.2.1 (issue p i.2.2 x)<n
71
- let v := pairW (raw m N) (raw m N)
72
- have hv : IsLaw v := pairW_law (raw_law m hN) (raw_law m hN)
73
- have he (i : I) : pr v (Q i)≤bp (-(n:ℝ)*n/4) := by
74
- by_cases h : i.2.2=0
75
- · simp only [Q,h,ne_eq,not_true,false_and,pr_false]; exact (bp_pos _).le
76
- exact (pr_mono hv.nz fun x h => h.2).trans
77
- (hn N (by unfold N; nlinarith only [Nat.mul_le_mul_right n hM]) hN m _ _ i.2.2 h)
78
- have hh (x : UnitType p n N) (h : ¬litFire p x) : ∃ i,Q i x := by
79
- unfold litFire at h
80
- push Not at h
81
- obtain ⟨s,t,c,hc,h⟩ := h; exact ⟨(s,t,c),hc,h⟩
82
- have hi : pr v (fun x=> ¬litFire p x) ≤ num I*bp (-(n:ℝ)*n/4) :=
83
- (le_trans (pr_mono hv.nz hh) (pr_exists_le hv.nz Q)).trans ((sum_le_sum
84
- fun i _ => he i).trans_eq (by simp [num]))
85
- refine (mul_le_mul_of_nonneg_left hi (bp_pos _).le).trans ?_
86
- simp only [pow_zero,mul_one,one_mul] at hp
87
- apply (mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right hp.le
88
- (bp_pos (-(n:ℝ)*n/4)).le) (bp_pos (C*N)).le).trans
89
- rw [← bp_add,← bp_add]
90
- apply bp_le
91
- unfold N; push_cast
92
- nlinarith only [mul_le_mul_of_nonneg_right hab (Nat.cast_nonneg n : 0≤(n:ℝ))]
93
- end HadwigerCounterexample
94
-
95
- end
96
-
97
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BilinearBlockCorrelation
2
+
3
+ namespace OAI
4
+
5
+ /-! # Conditioned Correlations -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real Filter Matrix LinearMap Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {I A : Type} [Fintype I] [Fintype A]
12
+ variable {n : ℕ}
13
+
14
+ set_option maxHeartbeats 600000 in
15
+ theorem spark_condition (p : Shape) (M : Moment p n) (s t : Label p.b) (l j : Tag p.g)
16
+ (f g : Flavor p.g) (B) (hB : f.keeps l B) (hB' : g.keeps j B)
17
+ (w u : Wgt (Knobs p.g n)) (hw : ∀ i,|w i|≤1) (hu : ∀ i,|u i|≤1)
18
+ (μ δ : Wgt (Knobs p.g n)) (hμ : IsLaw μ) (hδ : IsLaw δ)
19
+ (C : ℝ) (hC : 0<C)
20
+ (hc : ∀ i,μ i ≤ C*unif i) (hc' : ∀ i,δ i ≤ C*unif i)
21
+ (hM : n ≤ 5*blockRank B s t M) :
22
+ let Q i z := evmat M (spring p l s f i) (spring p j t g z)
23
+ |avg (pairW μ δ) (fun x => wsign (Q x.1 x.2)*(w x.1*u x.2))|≤
24
+ C^2*bp (-(n:ℝ)/10) := by
25
+ classical
26
+ intro Q
27
+ let V := Knobs p.g n
28
+ let fit (f p : Wgt V) := fun i => p i*f i/(C*unif i)
29
+ have h0 (i : V) : 0<C*unif i := by rw [unif_apply]; positivity
30
+ have hh (t p : Wgt V) (ht : ∀ i, |t i|≤1) (hp : IsLaw p) (h : ∀ i,p i≤C*unif i) i :
31
+ |fit t p i|≤1 := by
32
+ unfold fit; rw [abs_div,abs_of_pos (h0 i),abs_mul,abs_of_nonneg (hp.nz _)]
33
+ refine (div_le_one (h0 i)).mpr ?_
34
+ exact ((mul_le_mul_of_nonneg_left (ht _) (hp.nz _)).trans_eq (mul_one _)).trans (h _)
35
+ let F (x : V×V) := wsign (Q x.1 x.2)*(w x.1*u x.2)
36
+ let Z (x : V×V) := wsign (Q x.1 x.2)*(fit w μ x.1*fit u δ x.2)
37
+ have he :
38
+ avg (pairW μ δ) F=C^2 * avg (pairW unif unif) Z := by
39
+ unfold avg; rw [Finset.mul_sum]
40
+ refine sum_congr rfl fun i _ => ?_
41
+ unfold Z F fit pairW
42
+ have h1 := h0 i.1; have h2 := h0 i.2
43
+ have h3 : unif i.1 ≠ 0 := by rw [unif_apply]; positivity
44
+ have h4 : unif i.2 ≠ 0 := by rw [unif_apply]; positivity
45
+ field_simp
46
+ change |avg (pairW μ δ) F|≤_
47
+ rw [he,abs_mul,abs_of_nonneg (sq_nonneg _)]
48
+ have hi : (n:ℝ)≤5*blockRank B s t M := by exact_mod_cast hM
49
+ exact mul_le_mul_of_nonneg_left ((spark_uncap p M s t l j f g B hB hB'
50
+ _ _ (hh w μ hw hμ hc) (hh u δ hu hδ hc')).trans (bp_le (by linarith only [hi]))) (sq_nonneg _)
51
+
52
+ def litFire (p : Shape) {n N : ℕ} (x : UnitType p n N) :=
53
+ ∀ (s t : Label p.b) (c : Vec (Notches p)), c≠0 →
54
+ n≤5*blockRank Block.Z s t (issue p c x)
55
+
56
+ theorem litFire_calendar (p : Shape) (C : ℝ) (M : ℕ) (hM : 4≤M) :
57
+ ∀ᶠ n : ℕ in atTop, let N := M*n; ∀ (m : Mixer p n), 2*num (Full p n)<N →
58
+ ∀ w : Wgt (UnitType p n N),
59
+ (∀ i,w i ≤ bp (C*N)*pairW (raw m N) (raw m N) i) →
60
+ pr w (fun i => ¬litFire p i) ≤ bp (-(n:ℝ)*n/8) := by
61
+ classical
62
+ let I := Label p.b × Label p.b × Vec (Notches p)
63
+ have ht := bp_poly_dom_nat (a:=1) zero_lt_one (num I) 0
64
+ filter_upwards [issue_live p,ht,(tendsto_natCast_atTop_atTop (R:=ℝ)).eventually
65
+ (eventually_ge_atTop (8*(C*M+1)))]
66
+ with n hn hp hab N m hN w h
67
+ change 8*(C*M+1)≤ (n:ℝ) at hab
68
+ refine (pr_cap h _).trans ?_
69
+ let Q (i : I) (x : UnitType p n N) :=
70
+ i.2.2≠0 ∧ 5*blockRank Block.Z i.1 i.2.1 (issue p i.2.2 x)<n
71
+ let v := pairW (raw m N) (raw m N)
72
+ have hv : IsLaw v := pairW_law (raw_law m hN) (raw_law m hN)
73
+ have he (i : I) : pr v (Q i)≤bp (-(n:ℝ)*n/4) := by
74
+ by_cases h : i.2.2=0
75
+ · simp only [Q,h,ne_eq,not_true,false_and,pr_false]; exact (bp_pos _).le
76
+ exact (pr_mono hv.nz fun x h => h.2).trans
77
+ (hn N (by unfold N; nlinarith only [Nat.mul_le_mul_right n hM]) hN m _ _ i.2.2 h)
78
+ have hh (x : UnitType p n N) (h : ¬litFire p x) : ∃ i,Q i x := by
79
+ unfold litFire at h
80
+ push Not at h
81
+ obtain ⟨s,t,c,hc,h⟩ := h; exact ⟨(s,t,c),hc,h⟩
82
+ have hi : pr v (fun x=> ¬litFire p x) ≤ num I*bp (-(n:ℝ)*n/4) :=
83
+ (le_trans (pr_mono hv.nz hh) (pr_exists_le hv.nz Q)).trans ((sum_le_sum
84
+ fun i _ => he i).trans_eq (by simp [num]))
85
+ refine (mul_le_mul_of_nonneg_left hi (bp_pos _).le).trans ?_
86
+ simp only [pow_zero,mul_one,one_mul] at hp
87
+ apply (mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right hp.le
88
+ (bp_pos (-(n:ℝ)*n/4)).le) (bp_pos (C*N)).le).trans
89
+ rw [← bp_add,← bp_add]
90
+ apply bp_le
91
+ unfold N; push_cast
92
+ nlinarith only [mul_le_mul_of_nonneg_right hab (Nat.cast_nonneg n : 0≤(n:ℝ))]
93
+ end HadwigerCounterexample
94
+
95
+ end
96
+
97
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ConstructionScales.lean CHANGED
@@ -1,100 +1,100 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RawFrameLaws
2
-
3
- namespace OAI
4
-
5
- /-! # Construction Scales -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Filter
11
-
12
- theorem card_full (p : Shape) (n : ℕ) :
13
- Fintype.card (Full p n) = psize p * (1+(p.g*p.g+3)*n) + p.h := by
14
- calc
15
- _ = Fintype.card (Row p n) + Fintype.card (Fin p.h) :=
16
- Fintype.card_sum ..
17
- _ = _ := by rw [card_row, Fintype.card_fin]
18
-
19
- theorem full_linear (p : Shape) : ∃ B : ℝ, 0 ≤ B ∧ ∀ n : ℕ, 0 < n →
20
- num (Full p n) ≤ B*n := by
21
- let b := psize p*(1+(p.g*p.g+3)) + p.h
22
- refine ⟨↑b,Nat.cast_nonneg b, fun n hn => ?_⟩
23
- have h1 : 1 ≤ n := hn
24
- have h2 : Fintype.card (Full p n) ≤ b*n := by
25
- rw [card_full]
26
- unfold b
27
- calc _ ≤ psize p * (n+(p.g*p.g+3)*n) + p.h*n :=
28
- add_le_add (Nat.mul_le_mul_left _ (by omega)) (by nlinarith)
29
- _ = _ := by ring
30
- exact_mod_cast h2
31
-
32
- theorem unit_size (p : Shape) (n N : ℕ) :
33
- num (UnitType p n N) = bp (num (Comp p.g) * 4 * N * num (Full p n)) := by
34
- have hc :
35
- (Fintype.card (UnitType p n N)) =
36
- ((Fintype.card (Mat (Fin N) (Full p n)))^2)^(Fintype.card (Comp p.g)) *
37
- ((Fintype.card (Mat (Fin N) (Full p n)))^2)^(Fintype.card (Comp p.g)) := by
38
- simp [UnitType, Orient, Oframe, RawFrame, pow_two]
39
- unfold num
40
- rw [hc]
41
- push_cast
42
- rw [card_space,dim_mat,Fintype.card_fin]
43
- push_cast
44
- simp only [← bp_mul_nat,← bp_add]
45
- push_cast; ring_nf
46
-
47
- /-- Fixed linear and constant expenses become any fixed small fraction of N. -/
48
- theorem have_budget {δ : ℝ} (hd : 0 < δ) (a b : ℝ) (hb : 0 ≤ b) :
49
- ∀ᶠ M : ℕ in atTop, ∀ n : ℕ, 1 ≤ n → a*n+b ≤ δ*(M*n : ℕ) := by
50
- have h : Tendsto (fun M : ℕ => δ*M) atTop atTop :=
51
- (tendsto_const_mul_atTop_of_pos hd).mpr tendsto_natCast_atTop_atTop
52
- filter_upwards [h.eventually (eventually_ge_atTop (a+b))] with M hM n hn
53
- change a+b ≤ δ*M at hM
54
- push_cast
55
- have hn' : 1 ≤ (n:ℝ) := by exact_mod_cast hn
56
- nlinarith only [mul_le_mul_of_nonneg_right hM (Nat.cast_nonneg n : (0:ℝ)≤n),
57
- mul_le_mul_of_nonneg_right hn' hb]
58
-
59
- theorem columns_budget (p : Shape) {δ : ℝ} (hd : 0 < δ) (a b : ℝ)
60
- (ha : 0 ≤ a) (hb : 0 ≤ b) :
61
- ∀ᶠ M : ℕ in atTop, ∀ n : ℕ, 1 ≤ n →
62
- a*num (Full p n) + b ≤ δ*(M*n:ℕ) := by
63
- obtain ⟨B,hB,h⟩ := full_linear p
64
- filter_upwards [have_budget hd (a*B) b hb] with M hM n hn
65
- refine le_trans ?_ (hM n hn)
66
- rw [mul_assoc]
67
- exact add_le_add_left (mul_le_mul_of_nonneg_left (h _ hn) ha) _
68
-
69
- theorem raw_ready (p : Shape) {δ : ℝ} (hd : 0 < δ) :
70
- ∀ᶠ M : ℕ in atTop, ∀ᶠ n : ℕ in atTop, let N := M*n;
71
- num (UnitType p n N) ≤ bp ((4*num (Comp p.g))*N^ (2 : ℕ)) ∧
72
- ∀ m : Mixer p n, IsLaw (raw m N) ∧ ∀ a : Pin p n N,
73
- pr (pairW (raw m N) (raw m N)) a.agree ≤ bp (-(1-δ)*(planRank a.sp)*N) := by
74
- have hd' : 0 < δ/2 := by positivity
75
- filter_upwards [columns_budget p hd' 2 (4*num (Comp p.g)) (by norm_num)
76
- (by unfold num; positivity),
77
- columns_budget p (δ:=1) (by norm_num) 2 1 (by norm_num) (by norm_num)] with M ha hb
78
- filter_upwards [eventually_ge_atTop 1] with n hn
79
- specialize ha n hn
80
- specialize hb n hn
81
- let N := M*n
82
- have hi : 0 ≤ num (Comp p.g) := Nat.cast_nonneg _
83
- have hj : 0 ≤ num (Full p n) := Nat.cast_nonneg _
84
- rw [one_mul] at hb
85
- have hh : 2*num (Full p n)<N := by unfold N; linarith only [hb]
86
- dsimp only
87
- constructor
88
- · rw [unit_size]
89
- apply bp_le
90
- have hf : num (Full p n) ≤ N := by linarith
91
-
92
- exact le_trans (mul_le_mul_of_nonneg_left hf (by positivity))
93
- (le_of_eq (by unfold N; push_cast; ring))
94
- · intro m
95
- refine ⟨raw_law m hh, fun a => reference_cap _ a hd ?_ ?_ ?_⟩ <;> linarith
96
- end HadwigerCounterexample
97
-
98
- end
99
-
100
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RawFrameLaws
2
+
3
+ namespace OAI
4
+
5
+ /-! # Construction Scales -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Filter
11
+
12
+ theorem card_full (p : Shape) (n : ℕ) :
13
+ Fintype.card (Full p n) = psize p * (1+(p.g*p.g+3)*n) + p.h := by
14
+ calc
15
+ _ = Fintype.card (Row p n) + Fintype.card (Fin p.h) :=
16
+ Fintype.card_sum ..
17
+ _ = _ := by rw [card_row, Fintype.card_fin]
18
+
19
+ theorem full_linear (p : Shape) : ∃ B : ℝ, 0 ≤ B ∧ ∀ n : ℕ, 0 < n →
20
+ num (Full p n) ≤ B*n := by
21
+ let b := psize p*(1+(p.g*p.g+3)) + p.h
22
+ refine ⟨↑b,Nat.cast_nonneg b, fun n hn => ?_⟩
23
+ have h1 : 1 ≤ n := hn
24
+ have h2 : Fintype.card (Full p n) ≤ b*n := by
25
+ rw [card_full]
26
+ unfold b
27
+ calc _ ≤ psize p * (n+(p.g*p.g+3)*n) + p.h*n :=
28
+ add_le_add (Nat.mul_le_mul_left _ (by omega)) (by nlinarith)
29
+ _ = _ := by ring
30
+ exact_mod_cast h2
31
+
32
+ theorem unit_size (p : Shape) (n N : ℕ) :
33
+ num (UnitType p n N) = bp (num (Comp p.g) * 4 * N * num (Full p n)) := by
34
+ have hc :
35
+ (Fintype.card (UnitType p n N)) =
36
+ ((Fintype.card (Mat (Fin N) (Full p n)))^2)^(Fintype.card (Comp p.g)) *
37
+ ((Fintype.card (Mat (Fin N) (Full p n)))^2)^(Fintype.card (Comp p.g)) := by
38
+ simp [UnitType, Orient, Oframe, RawFrame, pow_two]
39
+ unfold num
40
+ rw [hc]
41
+ push_cast
42
+ rw [card_space,dim_mat,Fintype.card_fin]
43
+ push_cast
44
+ simp only [← bp_mul_nat,← bp_add]
45
+ push_cast; ring_nf
46
+
47
+ /-- Fixed linear and constant expenses become any fixed small fraction of N. -/
48
+ theorem have_budget {δ : ℝ} (hd : 0 < δ) (a b : ℝ) (hb : 0 ≤ b) :
49
+ ∀ᶠ M : ℕ in atTop, ∀ n : ℕ, 1 ≤ n → a*n+b ≤ δ*(M*n : ℕ) := by
50
+ have h : Tendsto (fun M : ℕ => δ*M) atTop atTop :=
51
+ (tendsto_const_mul_atTop_of_pos hd).mpr tendsto_natCast_atTop_atTop
52
+ filter_upwards [h.eventually (eventually_ge_atTop (a+b))] with M hM n hn
53
+ change a+b ≤ δ*M at hM
54
+ push_cast
55
+ have hn' : 1 ≤ (n:ℝ) := by exact_mod_cast hn
56
+ nlinarith only [mul_le_mul_of_nonneg_right hM (Nat.cast_nonneg n : (0:ℝ)≤n),
57
+ mul_le_mul_of_nonneg_right hn' hb]
58
+
59
+ theorem columns_budget (p : Shape) {δ : ℝ} (hd : 0 < δ) (a b : ℝ)
60
+ (ha : 0 ≤ a) (hb : 0 ≤ b) :
61
+ ∀ᶠ M : ℕ in atTop, ∀ n : ℕ, 1 ≤ n →
62
+ a*num (Full p n) + b ≤ δ*(M*n:ℕ) := by
63
+ obtain ⟨B,hB,h⟩ := full_linear p
64
+ filter_upwards [have_budget hd (a*B) b hb] with M hM n hn
65
+ refine le_trans ?_ (hM n hn)
66
+ rw [mul_assoc]
67
+ exact add_le_add_left (mul_le_mul_of_nonneg_left (h _ hn) ha) _
68
+
69
+ theorem raw_ready (p : Shape) {δ : ℝ} (hd : 0 < δ) :
70
+ ∀ᶠ M : ℕ in atTop, ∀ᶠ n : ℕ in atTop, let N := M*n;
71
+ num (UnitType p n N) ≤ bp ((4*num (Comp p.g))*N^ (2 : ℕ)) ∧
72
+ ∀ m : Mixer p n, IsLaw (raw m N) ∧ ∀ a : Pin p n N,
73
+ pr (pairW (raw m N) (raw m N)) a.agree ≤ bp (-(1-δ)*(planRank a.sp)*N) := by
74
+ have hd' : 0 < δ/2 := by positivity
75
+ filter_upwards [columns_budget p hd' 2 (4*num (Comp p.g)) (by norm_num)
76
+ (by unfold num; positivity),
77
+ columns_budget p (δ:=1) (by norm_num) 2 1 (by norm_num) (by norm_num)] with M ha hb
78
+ filter_upwards [eventually_ge_atTop 1] with n hn
79
+ specialize ha n hn
80
+ specialize hb n hn
81
+ let N := M*n
82
+ have hi : 0 ≤ num (Comp p.g) := Nat.cast_nonneg _
83
+ have hj : 0 ≤ num (Full p n) := Nat.cast_nonneg _
84
+ rw [one_mul] at hb
85
+ have hh : 2*num (Full p n)<N := by unfold N; linarith only [hb]
86
+ dsimp only
87
+ constructor
88
+ · rw [unit_size]
89
+ apply bp_le
90
+ have hf : num (Full p n) ≤ N := by linarith
91
+
92
+ exact le_trans (mul_le_mul_of_nonneg_left hf (by positivity))
93
+ (le_of_eq (by unfold N; push_cast; ring))
94
+ · intro m
95
+ refine ⟨raw_law m hh, fun a => reference_cap _ a hd ?_ ?_ ?_⟩ <;> linarith
96
+ end HadwigerCounterexample
97
+
98
+ end
99
+
100
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateBlocks.lean CHANGED
@@ -1,147 +1,147 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BooleanLabels
2
- import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
3
- import OAI.Combinatorics.HadwigerCounterexample.CoordinateEmbeddings
4
-
5
- namespace OAI
6
-
7
- /-! # Coordinate Blocks -/
8
-
9
- noncomputable section
10
- namespace HadwigerCounterexample
11
- open Matrix
12
- open scoped BigOperators
13
- variable {p : Shape} {n : ℕ}
14
-
15
- def blockA (p : Shape) (n : ℕ) (B : Block p.g) : Mat (AIdx p.g n) (Fin n) :=
16
- embedMat (fun i => some (B,i))
17
-
18
- def blockRay (p : Shape) (n : ℕ) (s : Label p.b) (B : Block p.g) : Mat (Row p n) (Fin n) :=
19
- labMat p n s * blockA p n B
20
-
21
- theorem lab_inj (s : Label p.b) : Function.Injective (labMat p n s).mulVec := by
22
- intro x y he
23
- funext i
24
- rw [labMat_act,labMat_act] at he
25
- have h := congr_fun he (emptySel,i)
26
- simpa [putLab,selV,emptySel] using h
27
-
28
- theorem joined_lab_inj {s t : Label p.b} (hj : 1≤p.j) (hs : s≠t) :
29
- Function.Injective (fromCols (labMat p n s) (labMat p n t)).mulVec := by
30
- apply inj_fromCols (lab_inj _) (lab_inj _)
31
- classical
32
- rw [disjoint_iff_inf_le]
33
- rintro x ⟨⟨v,rfl⟩,w,h⟩
34
- simp only [mulVecLin_apply,labMat_act] at h
35
- let Z : Label p.b → Vec (AIdx p.g n) := fun i => if i=s then v else -w
36
- have he : ∑ i ∈ ({s,t} : Finset _), putLab p n i (Z i)=0 := by
37
- simp [Z,hs,hs.symm,map_neg,h]
38
- have hi : ({s,t}:Finset _).card ≤ p.j+1 := by
39
- have hh : ({s,t}:Finset _).card=2 := by simp [hs]
40
- omega
41
- have hg := ray_indep _ _ hi he s (by simp)
42
- have hv : v=0 := by simpa [Z] using hg
43
- rw [hv,map_zero]; exact Submodule.zero_mem _
44
-
45
- theorem block_inj (B : Block p.g) : Function.Injective (blockA p n B).mulVec :=
46
- embedMat_inj (show Function.Injective (fun i => some (B,i)) from
47
- fun _ _ h => congrArg Prod.snd (Option.some.inj h))
48
-
49
- theorem blockRay_inj (p : Shape) (n) (s) (B) :
50
- Function.Injective (blockRay p n s B).mulVec :=
51
- inj_comp_mat _ _ (lab_inj _) (block_inj B)
52
-
53
- theorem joined_block_inj {s t : Label p.b} (hj : 1 ≤ p.j) (hs : s ≠ t) (B : Block p.g) :
54
- Function.Injective (fromCols (blockRay p n s B) (blockRay p n t B)).mulVec := by
55
- classical
56
- apply inj_fromCols (blockRay_inj ..) (blockRay_inj ..)
57
- rw [disjoint_iff_inf_le]
58
- rintro x ⟨⟨v,rfl⟩,w,h⟩
59
- simp only [Matrix.mulVecLin_apply,blockRay,← Matrix.mulVec_mulVec] at h
60
- let a := Sum.elim (blockA p n B *ᵥ v) (0 : Vec (AIdx p.g n))
61
- let b := Sum.elim (0 : Vec (AIdx p.g n)) (blockA p n B *ᵥ w)
62
- have heq : a=b := joined_lab_inj hj hs (by
63
- dsimp only [a,b]
64
- rw [fromCols_mulVec_sumElim,fromCols_mulVec_sumElim,Matrix.mulVec_zero,
65
- Matrix.mulVec_zero,zero_add,add_zero,h])
66
- have hg : blockA p n B *ᵥ v = 0 := funext (fun x => congr_fun heq (.inl x))
67
- change blockRay p n s B *ᵥ v ∈ _
68
- rw [blockRay,← Matrix.mulVec_mulVec,hg,Matrix.mulVec_zero]
69
- exact Submodule.zero_mem _
70
-
71
- theorem blockRay_eval (p : Shape) (s : Label p.b) (B) (i) (j : Fin n) :
72
- blockRay p n s B i j = if i.2=some (B,j) then monoBit s i.1.val else 0 := by
73
- rw [blockRay,blockA,mul_embedMat]; rfl
74
-
75
- theorem project_pick {d B : Block p.g} (hd : d ≠ B) (a) (s) (i) :
76
- (blockRay p n s B)ᵀ *ᵥ pick p n a d i = 0 := by
77
- classical
78
- unfold pick
79
- split
80
- · rename_i hi
81
- rw [Matrix.mulVec_single_one]
82
- ext j
83
- change blockRay p n s B (a,some (d,⟨i,hi⟩)) j=0
84
- simp [blockRay_eval,hd]
85
- rw [Matrix.mulVec_zero]
86
-
87
- theorem project_same (B : Block p.g) (a s) (i : Fin n) :
88
- (blockRay p n s B)ᵀ *ᵥ pick p n a B i.val = Pi.single i (monoBit s a.val) := by
89
- classical
90
- rw [pick,dite_eq_left i.isLt,Matrix.mulVec_single_one]
91
- ext j
92
- change blockRay p n s B _ j=_
93
- rw [blockRay_eval]
94
- simp [Pi.single_apply, eq_comm]
95
-
96
- def pullM {I J V U : Type} [Fintype V] [Fintype U] (P : Mat V I) (Q : Mat U J) :
97
- Mat V U →ₗ[F] Mat I J := liftM Pᵀ Qᵀ
98
- theorem pullM_def {I J V U : Type} [Fintype V] [Fintype U] (P : Mat V I)
99
- (Q : Mat U J) (M : Mat V U) : pullM P Q M=Pᵀ*M*Q := rfl
100
-
101
- theorem pull_test {d B : Block p.g} (h : d≠B) (s s') :
102
- pullM (blockRay p n s B) (blockRay p n s' B) (testM p n d) = 0 := by
103
- unfold testM pullM
104
- simp only [map_sum,liftM_outer,project_pick h]
105
- simp
106
-
107
- theorem pull_self_Z (M) (s s' : Label p.b) :
108
- pullM (blockRay p n s Block.Z) (blockRay p n s' Block.Z) (selfM p n M)=0 := by
109
- let L := pullM (blockRay p n s Block.Z) (blockRay p n s' Block.Z)
110
- have hx (i j : Tag p.g) := pull_test (n:=n) (d:=Block.O i j)
111
- (B:=Block.Z) (by simp [Block.O,Block.Z]) s s'
112
- have hs := pull_test (p:=p) (n:=n) (d:=Block.S) (B:=Block.Z) (by simp [Block.S,Block.Z]) s s'
113
- have h (a : SelIdx p.b p.j) (s : Label p.b) (i) :=
114
- project_pick (n:=n) (p:=p) (d:=Block.sharp) (B:=Block.Z) (by simp [Block.sharp,Block.Z]) a s i
115
- rw [selfM]; simp only [map_add,map_sum,hx,hs,Finset.sum_const_zero,zero_add]
116
- unfold sharpM sharpPick pullM
117
- by_cases he : 1 ≤ p.j
118
- · simp only [map_sum,map_smul,map_add, dite_eq_left he,liftM_outer,h]
119
- simp
120
- · simp only [dite_eq_right he]; simp
121
-
122
- theorem pull_self_sharp (M) (s s' : Label p.b) (hj : 1≤p.j) :
123
- pullM (blockRay p n s Block.sharp) (blockRay p n s' Block.sharp) (selfM p n M) =
124
- ∑ i, (s i+s' i) • M i := by
125
- classical
126
- have hx (i j : Tag p.g) := pull_test (n:=n) (d:=Block.O i j)
127
- (B:=Block.sharp) (by simp [Block.O,Block.sharp]) s s'
128
- have hs := pull_test (p:=p) (n:=n) (d:=Block.S) (B:=Block.sharp) (by simp [Block.S,Block.sharp]) s s'
129
- rw [selfM]; simp only [map_add,map_sum,hx,hs,Finset.sum_const_zero,zero_add]
130
- unfold sharpM sharpPick pullM
131
- simp only [map_sum,map_add,map_smul, dite_eq_left hj,liftM_outer,project_same]
132
- refine Finset.sum_congr rfl fun i _ => ?_
133
- ext a b
134
- simp only [Matrix.sum_apply,Matrix.add_apply,Matrix.smul_apply,smul_eq_mul,
135
- vecMulVec_apply,monoBit,emptySel,Finset.prod_empty,Finset.prod_singleton,Pi.single_apply]
136
- rw [Finset.sum_eq_single a]
137
- · rw [Finset.sum_eq_single b]
138
- · simp; ring
139
- · intro j _ h; simp [h.symm]
140
- · simp
141
- · intro j _ h; simp [h.symm]
142
- simp
143
- end HadwigerCounterexample
144
-
145
- end
146
-
147
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BooleanLabels
2
+ import OAI.Combinatorics.HadwigerCounterexample.QuadraticTesters
3
+ import OAI.Combinatorics.HadwigerCounterexample.CoordinateEmbeddings
4
+
5
+ namespace OAI
6
+
7
+ /-! # Coordinate Blocks -/
8
+
9
+ noncomputable section
10
+ namespace HadwigerCounterexample
11
+ open Matrix
12
+ open scoped BigOperators
13
+ variable {p : Shape} {n : ℕ}
14
+
15
+ def blockA (p : Shape) (n : ℕ) (B : Block p.g) : Mat (AIdx p.g n) (Fin n) :=
16
+ embedMat (fun i => some (B,i))
17
+
18
+ def blockRay (p : Shape) (n : ℕ) (s : Label p.b) (B : Block p.g) : Mat (Row p n) (Fin n) :=
19
+ labMat p n s * blockA p n B
20
+
21
+ theorem lab_inj (s : Label p.b) : Function.Injective (labMat p n s).mulVec := by
22
+ intro x y he
23
+ funext i
24
+ rw [labMat_act,labMat_act] at he
25
+ have h := congr_fun he (emptySel,i)
26
+ simpa [putLab,selV,emptySel] using h
27
+
28
+ theorem joined_lab_inj {s t : Label p.b} (hj : 1≤p.j) (hs : s≠t) :
29
+ Function.Injective (fromCols (labMat p n s) (labMat p n t)).mulVec := by
30
+ apply inj_fromCols (lab_inj _) (lab_inj _)
31
+ classical
32
+ rw [disjoint_iff_inf_le]
33
+ rintro x ⟨⟨v,rfl⟩,w,h⟩
34
+ simp only [mulVecLin_apply,labMat_act] at h
35
+ let Z : Label p.b → Vec (AIdx p.g n) := fun i => if i=s then v else -w
36
+ have he : ∑ i ∈ ({s,t} : Finset _), putLab p n i (Z i)=0 := by
37
+ simp [Z,hs,hs.symm,map_neg,h]
38
+ have hi : ({s,t}:Finset _).card ≤ p.j+1 := by
39
+ have hh : ({s,t}:Finset _).card=2 := by simp [hs]
40
+ omega
41
+ have hg := ray_indep _ _ hi he s (by simp)
42
+ have hv : v=0 := by simpa [Z] using hg
43
+ rw [hv,map_zero]; exact Submodule.zero_mem _
44
+
45
+ theorem block_inj (B : Block p.g) : Function.Injective (blockA p n B).mulVec :=
46
+ embedMat_inj (show Function.Injective (fun i => some (B,i)) from
47
+ fun _ _ h => congrArg Prod.snd (Option.some.inj h))
48
+
49
+ theorem blockRay_inj (p : Shape) (n) (s) (B) :
50
+ Function.Injective (blockRay p n s B).mulVec :=
51
+ inj_comp_mat _ _ (lab_inj _) (block_inj B)
52
+
53
+ theorem joined_block_inj {s t : Label p.b} (hj : 1 ≤ p.j) (hs : s ≠ t) (B : Block p.g) :
54
+ Function.Injective (fromCols (blockRay p n s B) (blockRay p n t B)).mulVec := by
55
+ classical
56
+ apply inj_fromCols (blockRay_inj ..) (blockRay_inj ..)
57
+ rw [disjoint_iff_inf_le]
58
+ rintro x ⟨⟨v,rfl⟩,w,h⟩
59
+ simp only [Matrix.mulVecLin_apply,blockRay,← Matrix.mulVec_mulVec] at h
60
+ let a := Sum.elim (blockA p n B *ᵥ v) (0 : Vec (AIdx p.g n))
61
+ let b := Sum.elim (0 : Vec (AIdx p.g n)) (blockA p n B *ᵥ w)
62
+ have heq : a=b := joined_lab_inj hj hs (by
63
+ dsimp only [a,b]
64
+ rw [fromCols_mulVec_sumElim,fromCols_mulVec_sumElim,Matrix.mulVec_zero,
65
+ Matrix.mulVec_zero,zero_add,add_zero,h])
66
+ have hg : blockA p n B *ᵥ v = 0 := funext (fun x => congr_fun heq (.inl x))
67
+ change blockRay p n s B *ᵥ v ∈ _
68
+ rw [blockRay,← Matrix.mulVec_mulVec,hg,Matrix.mulVec_zero]
69
+ exact Submodule.zero_mem _
70
+
71
+ theorem blockRay_eval (p : Shape) (s : Label p.b) (B) (i) (j : Fin n) :
72
+ blockRay p n s B i j = if i.2=some (B,j) then monoBit s i.1.val else 0 := by
73
+ rw [blockRay,blockA,mul_embedMat]; rfl
74
+
75
+ theorem project_pick {d B : Block p.g} (hd : d ≠ B) (a) (s) (i) :
76
+ (blockRay p n s B)ᵀ *ᵥ pick p n a d i = 0 := by
77
+ classical
78
+ unfold pick
79
+ split
80
+ · rename_i hi
81
+ rw [Matrix.mulVec_single_one]
82
+ ext j
83
+ change blockRay p n s B (a,some (d,⟨i,hi⟩)) j=0
84
+ simp [blockRay_eval,hd]
85
+ rw [Matrix.mulVec_zero]
86
+
87
+ theorem project_same (B : Block p.g) (a s) (i : Fin n) :
88
+ (blockRay p n s B)ᵀ *ᵥ pick p n a B i.val = Pi.single i (monoBit s a.val) := by
89
+ classical
90
+ rw [pick,dite_eq_left i.isLt,Matrix.mulVec_single_one]
91
+ ext j
92
+ change blockRay p n s B _ j=_
93
+ rw [blockRay_eval]
94
+ simp [Pi.single_apply, eq_comm]
95
+
96
+ def pullM {I J V U : Type} [Fintype V] [Fintype U] (P : Mat V I) (Q : Mat U J) :
97
+ Mat V U →ₗ[F] Mat I J := liftM Pᵀ Qᵀ
98
+ theorem pullM_def {I J V U : Type} [Fintype V] [Fintype U] (P : Mat V I)
99
+ (Q : Mat U J) (M : Mat V U) : pullM P Q M=Pᵀ*M*Q := rfl
100
+
101
+ theorem pull_test {d B : Block p.g} (h : d≠B) (s s') :
102
+ pullM (blockRay p n s B) (blockRay p n s' B) (testM p n d) = 0 := by
103
+ unfold testM pullM
104
+ simp only [map_sum,liftM_outer,project_pick h]
105
+ simp
106
+
107
+ theorem pull_self_Z (M) (s s' : Label p.b) :
108
+ pullM (blockRay p n s Block.Z) (blockRay p n s' Block.Z) (selfM p n M)=0 := by
109
+ let L := pullM (blockRay p n s Block.Z) (blockRay p n s' Block.Z)
110
+ have hx (i j : Tag p.g) := pull_test (n:=n) (d:=Block.O i j)
111
+ (B:=Block.Z) (by simp [Block.O,Block.Z]) s s'
112
+ have hs := pull_test (p:=p) (n:=n) (d:=Block.S) (B:=Block.Z) (by simp [Block.S,Block.Z]) s s'
113
+ have h (a : SelIdx p.b p.j) (s : Label p.b) (i) :=
114
+ project_pick (n:=n) (p:=p) (d:=Block.sharp) (B:=Block.Z) (by simp [Block.sharp,Block.Z]) a s i
115
+ rw [selfM]; simp only [map_add,map_sum,hx,hs,Finset.sum_const_zero,zero_add]
116
+ unfold sharpM sharpPick pullM
117
+ by_cases he : 1 ≤ p.j
118
+ · simp only [map_sum,map_smul,map_add, dite_eq_left he,liftM_outer,h]
119
+ simp
120
+ · simp only [dite_eq_right he]; simp
121
+
122
+ theorem pull_self_sharp (M) (s s' : Label p.b) (hj : 1≤p.j) :
123
+ pullM (blockRay p n s Block.sharp) (blockRay p n s' Block.sharp) (selfM p n M) =
124
+ ∑ i, (s i+s' i) • M i := by
125
+ classical
126
+ have hx (i j : Tag p.g) := pull_test (n:=n) (d:=Block.O i j)
127
+ (B:=Block.sharp) (by simp [Block.O,Block.sharp]) s s'
128
+ have hs := pull_test (p:=p) (n:=n) (d:=Block.S) (B:=Block.sharp) (by simp [Block.S,Block.sharp]) s s'
129
+ rw [selfM]; simp only [map_add,map_sum,hx,hs,Finset.sum_const_zero,zero_add]
130
+ unfold sharpM sharpPick pullM
131
+ simp only [map_sum,map_add,map_smul, dite_eq_left hj,liftM_outer,project_same]
132
+ refine Finset.sum_congr rfl fun i _ => ?_
133
+ ext a b
134
+ simp only [Matrix.sum_apply,Matrix.add_apply,Matrix.smul_apply,smul_eq_mul,
135
+ vecMulVec_apply,monoBit,emptySel,Finset.prod_empty,Finset.prod_singleton,Pi.single_apply]
136
+ rw [Finset.sum_eq_single a]
137
+ · rw [Finset.sum_eq_single b]
138
+ · simp; ring
139
+ · intro j _ h; simp [h.symm]
140
+ · simp
141
+ · intro j _ h; simp [h.symm]
142
+ simp
143
+ end HadwigerCounterexample
144
+
145
+ end
146
+
147
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateDuality.lean CHANGED
@@ -1,87 +1,87 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ScalarStatusAlgebra
2
-
3
- namespace OAI
4
-
5
- /-! # Coordinate Duality -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Module LinearMap Submodule Function
10
- open scoped BigOperators
11
- namespace StatusAnalysis
12
- variable {A B : Rates} {d e : ℕ}
13
-
14
- structure DualCoefficients (A B : Rates) where
15
- left : Quota
16
- right : Quota
17
- gam : Grid→F
18
- hed : Grid→F
19
- north : (i:Grid)→ Cell (A i.1)
20
- south : (i:Grid)→ Cell (B i.2)
21
- def DualCoefficients.bet (p : DualCoefficients A B) (i : Grid) (x : LedgerS A B i) :=
22
- p.gam i * x.1 + p.hed i * x.2.1 + (dotProduct (p.north i) x.2.2.1+
23
- dotProduct (p.south i) x.2.2.2)
24
- def DualCoefficients.law (p : DualCoefficients A B) (V : StatusSp A B) :=
25
- ∀ i:Grid,∀ v∈V i, p.bet i (want _ _ v) =
26
- p.left i.2 * couple _ v.2.1 + p.right i.1 * couple _ v.2.2
27
-
28
- private theorem coordinates (f : Question d e →ₗ[F] F) :
29
- ∃ a b : F,∃ (u : Cell d) (v : Cell e),∀ (x:Question d e),
30
- f x=a*x.1+b*x.2.1 + (dotProduct u x.2.2.1+dotProduct v x.2.2.2) := by
31
- let g := f ∘ₗ LinearMap.inr F F _ ∘ₗ LinearMap.inr F F _
32
- obtain ⟨u,hu⟩:=dotL_surj (g ∘ₗ LinearMap.inl F _ _)
33
- obtain ⟨v,hv⟩:=dotL_surj (g ∘ₗ LinearMap.inr F _ _)
34
- let a : Question d e := (1,0); let b : Question d e := (0,1,0)
35
- refine ⟨f a,f b,u,v,?_⟩
36
- rintro ⟨x,y,z,w⟩
37
- have he : ((x,y,z,w):Question d e)=x • a +y • b+((0,0,z,0)+(0,0,0,w)) := by
38
- unfold a b; ext <;> simp
39
- have h1 : f (0,0,z,0)=dotProduct u z := LinearMap.congr_fun hu z
40
- have h2 : f (0,0,0,w)=dotProduct v w := LinearMap.congr_fun hv w
41
- change f (x,y,z,w)=f a*x + f b*y + _
42
- conv_lhs => rw [he]
43
- rw [map_add,map_add,map_add,map_smul,map_smul,h1,h2]; simp [mul_comm]
44
-
45
- theorem jargon_score (V : StatusSp A B) (T : Cabinet A B)
46
- (h : ¬scorecard V T) (hh : ∀ i,coverBase (V i)) :
47
- ∃ p : DualCoefficients A B, (p.left≠0 ∨ p.right≠0) ∧ p.law V ∧ ∑ i,p.bet i (T i)≠0 := by
48
- obtain ⟨p,hp,hf⟩:= counter_score V T h
49
- choose a b u v he using fun i=>coordinates (p.alf i)
50
- let g : DualCoefficients A B:=⟨p.altL,p.altR,a,b,u,v⟩
51
- have hz i x : g.bet i x=p.alf i x := (he i x).symm
52
- refine ⟨g,critic_nz V T hh p hp hf,fun i x hx=>?_,?_⟩
53
- · rw [hz]; exact hp i x hx
54
- simp_rw [hz]; exact hf
55
-
56
- abbrev excessK (V : Space (Signal d e)) := V ⊓ LinearMap.ker (view d e)
57
- theorem signal_dim :
58
- dim (Signal d e) = dim (View d e)+2 := by
59
- simp only [Signal,View,Whole,dim,finrank_prod,finrank_self]
60
- omega
61
- theorem ker_two (V : Space (Signal d e)) :
62
- dim (excessK V) ≤ 2 := by
63
- have he : Surjective (view d e) := by
64
- rintro ⟨i,j,k⟩; exact ⟨(i,(j,0),(k,0)),rfl⟩
65
- have ht := LinearMap.finrank_range_add_finrank_ker (view d e)
66
- change rk (view _ _) + dim _=dim (Signal d e) at ht
67
- rw [rk_surj.mp he,signal_dim] at ht
68
- exact (Submodule.finrank_mono (show excessK V≤_ from inf_le_right)).trans
69
- (by omega : dim (LinearMap.ker (view d e)) ≤ 2)
70
-
71
- def overage (V : Space (Signal d e)) := dim V - dim (View d e)
72
- theorem overage_two (V : Space (Signal d e)) : overage V≤2 := by
73
- have hi : dim V ≤ dim (Signal d e) := finrank_le _
74
- rw [signal_dim] at hi; unfold overage; omega
75
- theorem overage_mono {V W : Space (Signal d e)} (h : V≤W) :
76
- overage V≤overage W := Nat.sub_le_sub_right (finrank_mono h) _
77
- theorem overage_lt {V W : Space (Signal d e)} (h : V<W) (he : coverBase V) :
78
- overage V<overage W := by
79
- have hh := finrank_lt_finrank_of_lt h; change dim V<dim W at hh
80
- have hx : dim (View d e) ≤ dim V := LinearMap.finrank_le_finrank_of_surjective he
81
- unfold overage; omega
82
- end StatusAnalysis
83
- end HadwigerCounterexample
84
-
85
- end
86
-
87
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ScalarStatusAlgebra
2
+
3
+ namespace OAI
4
+
5
+ /-! # Coordinate Duality -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Module LinearMap Submodule Function
10
+ open scoped BigOperators
11
+ namespace StatusAnalysis
12
+ variable {A B : Rates} {d e : ℕ}
13
+
14
+ structure DualCoefficients (A B : Rates) where
15
+ left : Quota
16
+ right : Quota
17
+ gam : Grid→F
18
+ hed : Grid→F
19
+ north : (i:Grid)→ Cell (A i.1)
20
+ south : (i:Grid)→ Cell (B i.2)
21
+ def DualCoefficients.bet (p : DualCoefficients A B) (i : Grid) (x : LedgerS A B i) :=
22
+ p.gam i * x.1 + p.hed i * x.2.1 + (dotProduct (p.north i) x.2.2.1+
23
+ dotProduct (p.south i) x.2.2.2)
24
+ def DualCoefficients.law (p : DualCoefficients A B) (V : StatusSp A B) :=
25
+ ∀ i:Grid,∀ v∈V i, p.bet i (want _ _ v) =
26
+ p.left i.2 * couple _ v.2.1 + p.right i.1 * couple _ v.2.2
27
+
28
+ private theorem coordinates (f : Question d e →ₗ[F] F) :
29
+ ∃ a b : F,∃ (u : Cell d) (v : Cell e),∀ (x:Question d e),
30
+ f x=a*x.1+b*x.2.1 + (dotProduct u x.2.2.1+dotProduct v x.2.2.2) := by
31
+ let g := f ∘ₗ LinearMap.inr F F _ ∘ₗ LinearMap.inr F F _
32
+ obtain ⟨u,hu⟩:=dotL_surj (g ∘ₗ LinearMap.inl F _ _)
33
+ obtain ⟨v,hv⟩:=dotL_surj (g ∘ₗ LinearMap.inr F _ _)
34
+ let a : Question d e := (1,0); let b : Question d e := (0,1,0)
35
+ refine ⟨f a,f b,u,v,?_⟩
36
+ rintro ⟨x,y,z,w⟩
37
+ have he : ((x,y,z,w):Question d e)=x • a +y • b+((0,0,z,0)+(0,0,0,w)) := by
38
+ unfold a b; ext <;> simp
39
+ have h1 : f (0,0,z,0)=dotProduct u z := LinearMap.congr_fun hu z
40
+ have h2 : f (0,0,0,w)=dotProduct v w := LinearMap.congr_fun hv w
41
+ change f (x,y,z,w)=f a*x + f b*y + _
42
+ conv_lhs => rw [he]
43
+ rw [map_add,map_add,map_add,map_smul,map_smul,h1,h2]; simp [mul_comm]
44
+
45
+ theorem jargon_score (V : StatusSp A B) (T : Cabinet A B)
46
+ (h : ¬scorecard V T) (hh : ∀ i,coverBase (V i)) :
47
+ ∃ p : DualCoefficients A B, (p.left≠0 ∨ p.right≠0) ∧ p.law V ∧ ∑ i,p.bet i (T i)≠0 := by
48
+ obtain ⟨p,hp,hf⟩:= counter_score V T h
49
+ choose a b u v he using fun i=>coordinates (p.alf i)
50
+ let g : DualCoefficients A B:=⟨p.altL,p.altR,a,b,u,v⟩
51
+ have hz i x : g.bet i x=p.alf i x := (he i x).symm
52
+ refine ⟨g,critic_nz V T hh p hp hf,fun i x hx=>?_,?_⟩
53
+ · rw [hz]; exact hp i x hx
54
+ simp_rw [hz]; exact hf
55
+
56
+ abbrev excessK (V : Space (Signal d e)) := V ⊓ LinearMap.ker (view d e)
57
+ theorem signal_dim :
58
+ dim (Signal d e) = dim (View d e)+2 := by
59
+ simp only [Signal,View,Whole,dim,finrank_prod,finrank_self]
60
+ omega
61
+ theorem ker_two (V : Space (Signal d e)) :
62
+ dim (excessK V) ≤ 2 := by
63
+ have he : Surjective (view d e) := by
64
+ rintro ⟨i,j,k⟩; exact ⟨(i,(j,0),(k,0)),rfl⟩
65
+ have ht := LinearMap.finrank_range_add_finrank_ker (view d e)
66
+ change rk (view _ _) + dim _=dim (Signal d e) at ht
67
+ rw [rk_surj.mp he,signal_dim] at ht
68
+ exact (Submodule.finrank_mono (show excessK V≤_ from inf_le_right)).trans
69
+ (by omega : dim (LinearMap.ker (view d e)) ≤ 2)
70
+
71
+ def overage (V : Space (Signal d e)) := dim V - dim (View d e)
72
+ theorem overage_two (V : Space (Signal d e)) : overage V≤2 := by
73
+ have hi : dim V ≤ dim (Signal d e) := finrank_le _
74
+ rw [signal_dim] at hi; unfold overage; omega
75
+ theorem overage_mono {V W : Space (Signal d e)} (h : V≤W) :
76
+ overage V≤overage W := Nat.sub_le_sub_right (finrank_mono h) _
77
+ theorem overage_lt {V W : Space (Signal d e)} (h : V<W) (he : coverBase V) :
78
+ overage V<overage W := by
79
+ have hh := finrank_lt_finrank_of_lt h; change dim V<dim W at hh
80
+ have hx : dim (View d e) ≤ dim V := LinearMap.finrank_le_finrank_of_surjective he
81
+ unfold overage; omega
82
+ end StatusAnalysis
83
+ end HadwigerCounterexample
84
+
85
+ end
86
+
87
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CoordinateEmbeddings.lean CHANGED
@@ -1,163 +1,163 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.MatrixRanks
2
- import Mathlib.Data.Matrix.ColumnRowPartitioned
3
-
4
- namespace OAI
5
-
6
- /-! # Coordinate Embeddings -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix Module Function
11
- open scoped BigOperators
12
- variable {U V I J K T : Type} [Fintype U] [Fintype V] [Fintype I] [Fintype J]
13
- [Fintype K] [Fintype T]
14
-
15
- def embedMat [DecidableEq U] (f : I → U) : Mat U I := Matrix.of (fun i j => if i=f j then 1 else 0)
16
-
17
- omit [Fintype I] in
18
- theorem embedMatT [DecidableEq U] (f : I → U) (x : Vec U) :
19
- (embedMat f)ᵀ *ᵥ x = fun i => x (f i) := by
20
- classical funext i
21
- simp [embedMat,Matrix.mulVec,dotProduct]
22
-
23
- omit [Fintype V] [Fintype I] in
24
- theorem mul_embedMat [DecidableEq U] (f : I → U) (M : Mat V U) :
25
- M*embedMat f = M.submatrix _root_.id f := by
26
- ext i j
27
- simp [Matrix.mul_apply,embedMat]
28
-
29
- omit [Fintype V] [Fintype I] in
30
- theorem embedMat_mul [DecidableEq U] (f : I → U) (M : Mat U V) :
31
- (embedMat f)ᵀ*M = M.submatrix f _root_.id := by
32
- ext i j
33
- simp [Matrix.mul_apply,embedMat]
34
-
35
- omit [Fintype I] in
36
- theorem embedMat_self [DecidableEq I] [DecidableEq U] {f : I → U} (h : Injective f) :
37
- (embedMat f)ᵀ * embedMat f = 1 := by
38
- ext i j
39
- rw [embedMat_mul]
40
- simp only [embedMat,Matrix.submatrix_apply,Matrix.of_apply,id_eq,
41
- Matrix.one_apply,h.eq_iff]
42
-
43
- theorem embedMat_inj [DecidableEq U] {f : I → U} (h : Injective f) :
44
- Injective (embedMat f).mulVec := by
45
- classical
46
- intro x y g
47
- change embedMat f *ᵥ x = embedMat f *ᵥ y at g
48
- have he (x : Vec I) : (embedMat f)ᵀ *ᵥ (embedMat f *ᵥ x) = x := by
49
- rw [Matrix.mulVec_mulVec,embedMat_self h,Matrix.one_mulVec]
50
- rw [← he x,g,he]
51
-
52
- omit [Fintype U] in
53
- theorem inj_fromCols {A : Mat U I} {B : Mat U J} (hA : Injective A.mulVec)
54
- (hB : Injective B.mulVec) (h : Disjoint (colSp A) (colSp B)) :
55
- Injective (fromCols A B).mulVec := by
56
- rw [← Matrix.coe_mulVecLin,← LinearMap.ker_eq_bot, Matrix.ker_mulVecLin_eq_bot_iff]
57
- intro x hx
58
- let a := fun i => x (Sum.inl i)
59
- let b := fun j => x (Sum.inr j)
60
- rw [fromCols_mulVec] at hx
61
- have he : A*ᵥa=B*ᵥb := add_right_cancel (hx.trans (char_two (B*ᵥb)).symm)
62
- have hi : A*ᵥa ∈ colSp A ⊓ colSp B :=
63
- ⟨⟨a,rfl⟩, he.symm ▸ (show B*ᵥb∈colSp B from ⟨b,rfl⟩)⟩
64
- rw [h.eq_bot] at hi
65
- have hg : A*ᵥa=0 := by simpa using hi
66
- have ha : a=0 := hA (hg.trans (Matrix.mulVec_zero A).symm)
67
- rw [he] at hg
68
- have hb : b=0 := hB (hg.trans (Matrix.mulVec_zero B).symm)
69
- funext i
70
- cases i
71
- · exact congr_fun ha _
72
- · exact congr_fun hb _
73
-
74
- /-- Specify an arbitrary cross Gram bilinear form between independent columns. -/
75
- theorem prescribe_between {A : Mat U I} {B : Mat V J}
76
- (hA : Injective A.mulVec) (hB : Injective B.mulVec) (M : Mat I J) :
77
- ∃ L : Mat U V, Aᵀ*L*B=M := by
78
- classical
79
- obtain ⟨a,ha⟩ := mat_left_inv hA
80
- obtain ⟨b,hb⟩ := mat_left_inv hB
81
- refine ⟨aᵀ*(M*b),?_⟩
82
- rw [← Matrix.mul_assoc Aᵀ,←transpose_mul,ha,transpose_one,Matrix.one_mul,
83
- Matrix.mul_assoc,hb,Matrix.mul_one]
84
-
85
- /-- Two opposite-direction restrictions are specifiable on disjoint bases. -/
86
- theorem prescribe_opposite {A : Mat U I} {B : Mat V J} {C : Mat U K} {D : Mat V T}
87
- (hc : Injective (fromCols A C).mulVec) (hd : Injective (fromCols B D).mulVec)
88
- (M : Mat I J) (N : Mat T K) :
89
- ∃ L : Mat U V, Aᵀ*L*B=M ∧ Dᵀ*Lᵀ*C=N := by
90
- obtain ⟨L,hL⟩ := prescribe_between hc hd (fromBlocks M 0 0 Nᵀ)
91
- rw [transpose_fromCols, fromRows_mul, fromRows_mul_fromCols] at hL
92
- have hi : Cᵀ*L*D=Nᵀ := congrArg Matrix.toBlocks₂₂ hL
93
- refine ⟨L, congrArg Matrix.toBlocks₁₁ hL, ?_⟩
94
- have hg := congrArg Matrix.transpose hi
95
- rwa [transpose_mul,transpose_mul,transpose_transpose,transpose_transpose,← Matrix.mul_assoc] at hg
96
-
97
- omit [Fintype I] in
98
- theorem rank_ge_mul (A : Mat I J) (B : Mat J K) :
99
- A.rank+B.rank ≤ (A*B).rank+Fintype.card J := by
100
- let f := A.mulVecLin
101
- let g := f ∘ₗ (colSp B).subtype
102
- have he : LinearMap.range g = colSp (A*B) := by
103
- change LinearMap.range g = LinearMap.range ((A*B).mulVecLin)
104
- rw [mulVecLin_mul]
105
- unfold g
106
- rw [LinearMap.range_comp,LinearMap.range_comp]
107
- simp [f,colSp]
108
- have hi : dim (LinearMap.ker g) ≤ dim (LinearMap.ker f) := by
109
- let q := ((colSp B).subtype ∘ₗ (LinearMap.ker g).subtype)
110
- have hq (x : LinearMap.ker g) : q x ∈ LinearMap.ker f := x.property
111
- let k := q.codRestrict (LinearMap.ker f) hq
112
- have hk : Injective k := by
113
- intro x y h
114
- have heq := congrArg (fun b : LinearMap.ker f => b.val) h
115
- exact Subtype.ext (Subtype.ext heq)
116
- exact LinearMap.finrank_le_finrank_of_injective hk
117
- have h1 := g.finrank_range_add_finrank_ker
118
- rw [he] at h1
119
- have h2 := f.finrank_range_add_finrank_ker
120
- change (A*B).rank + dim (LinearMap.ker g)=B.rank at h1
121
- change A.rank + dim (LinearMap.ker f)=dim (Vec J) at h2
122
- rw [dim_vec] at h2; omega
123
-
124
- theorem rank_ge_congr (A : Mat I I) (B : Mat J I) :
125
- A.rank + 2*B.rank ≤ (liftM B B A).rank + 2*Fintype.card I := by
126
- have h1 := rank_ge_mul B A
127
- have h2 := rank_ge_mul (B*A) Bᵀ
128
- rw [Matrix.rank_transpose] at h2
129
- rw [liftM_def]; omega
130
-
131
- /-- Choose a large space in the domain which becomes disjoint from S in the target. -/
132
- theorem choose_free {A : Mat I J} (hA : Injective A.mulVec) (S : Space (Vec I)) :
133
- ∃ T : Space (Vec J), Fintype.card J ≤ dim T+dim S ∧
134
- Disjoint S (colSp (A*pack T)) := by
135
- let U := S.comap A.mulVecLin
136
- obtain ⟨T,hT⟩ := U.exists_isCompl
137
- refine ⟨T,?_,?_⟩
138
- · have hi : dim U ≤ dim S := by
139
- let q := A.mulVecLin ∘ₗ U.subtype
140
- have he (x : U) : q x∈S := x.property
141
- let B := q.codRestrict S he
142
- have hb : Injective B := fun x y h => Subtype.ext (hA
143
- (show q x=q y from congrArg Subtype.val h))
144
- exact LinearMap.finrank_le_finrank_of_injective hb
145
- have he := (U.prodEquivOfIsCompl T hT).finrank_eq
146
- rw [finrank_prod,show finrank F (Vec J)=Fintype.card J from dim_vec _] at he
147
- change dim U + dim T = Fintype.card J at he
148
- rw [← he]
149
- exact (Nat.add_le_add_right hi _).trans_eq (Nat.add_comm _ _)
150
- rw [colSp,mulVecLin_mul,LinearMap.range_comp,show LinearMap.range (pack T).mulVecLin = T from
151
- colSp_pack T]
152
- rw [disjoint_iff_inf_le]
153
- rintro x ⟨hx,y,hy,rfl⟩
154
- have hh : y∈U⊓T := ⟨hx,hy⟩
155
- rw [hT.inf_eq_bot] at hh
156
- have he : y=0 := by simpa using hh
157
- rw [he,map_zero]; exact Submodule.zero_mem _
158
-
159
- end HadwigerCounterexample
160
-
161
- end
162
-
163
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.MatrixRanks
2
+ import Mathlib.Data.Matrix.ColumnRowPartitioned
3
+
4
+ namespace OAI
5
+
6
+ /-! # Coordinate Embeddings -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix Module Function
11
+ open scoped BigOperators
12
+ variable {U V I J K T : Type} [Fintype U] [Fintype V] [Fintype I] [Fintype J]
13
+ [Fintype K] [Fintype T]
14
+
15
+ def embedMat [DecidableEq U] (f : I → U) : Mat U I := Matrix.of (fun i j => if i=f j then 1 else 0)
16
+
17
+ omit [Fintype I] in
18
+ theorem embedMatT [DecidableEq U] (f : I → U) (x : Vec U) :
19
+ (embedMat f)ᵀ *ᵥ x = fun i => x (f i) := by
20
+ classical funext i
21
+ simp [embedMat,Matrix.mulVec,dotProduct]
22
+
23
+ omit [Fintype V] [Fintype I] in
24
+ theorem mul_embedMat [DecidableEq U] (f : I → U) (M : Mat V U) :
25
+ M*embedMat f = M.submatrix _root_.id f := by
26
+ ext i j
27
+ simp [Matrix.mul_apply,embedMat]
28
+
29
+ omit [Fintype V] [Fintype I] in
30
+ theorem embedMat_mul [DecidableEq U] (f : I → U) (M : Mat U V) :
31
+ (embedMat f)ᵀ*M = M.submatrix f _root_.id := by
32
+ ext i j
33
+ simp [Matrix.mul_apply,embedMat]
34
+
35
+ omit [Fintype I] in
36
+ theorem embedMat_self [DecidableEq I] [DecidableEq U] {f : I → U} (h : Injective f) :
37
+ (embedMat f)ᵀ * embedMat f = 1 := by
38
+ ext i j
39
+ rw [embedMat_mul]
40
+ simp only [embedMat,Matrix.submatrix_apply,Matrix.of_apply,id_eq,
41
+ Matrix.one_apply,h.eq_iff]
42
+
43
+ theorem embedMat_inj [DecidableEq U] {f : I → U} (h : Injective f) :
44
+ Injective (embedMat f).mulVec := by
45
+ classical
46
+ intro x y g
47
+ change embedMat f *ᵥ x = embedMat f *ᵥ y at g
48
+ have he (x : Vec I) : (embedMat f)ᵀ *ᵥ (embedMat f *ᵥ x) = x := by
49
+ rw [Matrix.mulVec_mulVec,embedMat_self h,Matrix.one_mulVec]
50
+ rw [← he x,g,he]
51
+
52
+ omit [Fintype U] in
53
+ theorem inj_fromCols {A : Mat U I} {B : Mat U J} (hA : Injective A.mulVec)
54
+ (hB : Injective B.mulVec) (h : Disjoint (colSp A) (colSp B)) :
55
+ Injective (fromCols A B).mulVec := by
56
+ rw [← Matrix.coe_mulVecLin,← LinearMap.ker_eq_bot, Matrix.ker_mulVecLin_eq_bot_iff]
57
+ intro x hx
58
+ let a := fun i => x (Sum.inl i)
59
+ let b := fun j => x (Sum.inr j)
60
+ rw [fromCols_mulVec] at hx
61
+ have he : A*ᵥa=B*ᵥb := add_right_cancel (hx.trans (char_two (B*ᵥb)).symm)
62
+ have hi : A*ᵥa ∈ colSp A ⊓ colSp B :=
63
+ ⟨⟨a,rfl⟩, he.symm ▸ (show B*ᵥb∈colSp B from ⟨b,rfl⟩)⟩
64
+ rw [h.eq_bot] at hi
65
+ have hg : A*ᵥa=0 := by simpa using hi
66
+ have ha : a=0 := hA (hg.trans (Matrix.mulVec_zero A).symm)
67
+ rw [he] at hg
68
+ have hb : b=0 := hB (hg.trans (Matrix.mulVec_zero B).symm)
69
+ funext i
70
+ cases i
71
+ · exact congr_fun ha _
72
+ · exact congr_fun hb _
73
+
74
+ /-- Specify an arbitrary cross Gram bilinear form between independent columns. -/
75
+ theorem prescribe_between {A : Mat U I} {B : Mat V J}
76
+ (hA : Injective A.mulVec) (hB : Injective B.mulVec) (M : Mat I J) :
77
+ ∃ L : Mat U V, Aᵀ*L*B=M := by
78
+ classical
79
+ obtain ⟨a,ha⟩ := mat_left_inv hA
80
+ obtain ⟨b,hb⟩ := mat_left_inv hB
81
+ refine ⟨aᵀ*(M*b),?_⟩
82
+ rw [← Matrix.mul_assoc Aᵀ,←transpose_mul,ha,transpose_one,Matrix.one_mul,
83
+ Matrix.mul_assoc,hb,Matrix.mul_one]
84
+
85
+ /-- Two opposite-direction restrictions are specifiable on disjoint bases. -/
86
+ theorem prescribe_opposite {A : Mat U I} {B : Mat V J} {C : Mat U K} {D : Mat V T}
87
+ (hc : Injective (fromCols A C).mulVec) (hd : Injective (fromCols B D).mulVec)
88
+ (M : Mat I J) (N : Mat T K) :
89
+ ∃ L : Mat U V, Aᵀ*L*B=M ∧ Dᵀ*Lᵀ*C=N := by
90
+ obtain ⟨L,hL⟩ := prescribe_between hc hd (fromBlocks M 0 0 Nᵀ)
91
+ rw [transpose_fromCols, fromRows_mul, fromRows_mul_fromCols] at hL
92
+ have hi : Cᵀ*L*D=Nᵀ := congrArg Matrix.toBlocks₂₂ hL
93
+ refine ⟨L, congrArg Matrix.toBlocks₁₁ hL, ?_⟩
94
+ have hg := congrArg Matrix.transpose hi
95
+ rwa [transpose_mul,transpose_mul,transpose_transpose,transpose_transpose,← Matrix.mul_assoc] at hg
96
+
97
+ omit [Fintype I] in
98
+ theorem rank_ge_mul (A : Mat I J) (B : Mat J K) :
99
+ A.rank+B.rank ≤ (A*B).rank+Fintype.card J := by
100
+ let f := A.mulVecLin
101
+ let g := f ∘ₗ (colSp B).subtype
102
+ have he : LinearMap.range g = colSp (A*B) := by
103
+ change LinearMap.range g = LinearMap.range ((A*B).mulVecLin)
104
+ rw [mulVecLin_mul]
105
+ unfold g
106
+ rw [LinearMap.range_comp,LinearMap.range_comp]
107
+ simp [f,colSp]
108
+ have hi : dim (LinearMap.ker g) ≤ dim (LinearMap.ker f) := by
109
+ let q := ((colSp B).subtype ∘ₗ (LinearMap.ker g).subtype)
110
+ have hq (x : LinearMap.ker g) : q x ∈ LinearMap.ker f := x.property
111
+ let k := q.codRestrict (LinearMap.ker f) hq
112
+ have hk : Injective k := by
113
+ intro x y h
114
+ have heq := congrArg (fun b : LinearMap.ker f => b.val) h
115
+ exact Subtype.ext (Subtype.ext heq)
116
+ exact LinearMap.finrank_le_finrank_of_injective hk
117
+ have h1 := g.finrank_range_add_finrank_ker
118
+ rw [he] at h1
119
+ have h2 := f.finrank_range_add_finrank_ker
120
+ change (A*B).rank + dim (LinearMap.ker g)=B.rank at h1
121
+ change A.rank + dim (LinearMap.ker f)=dim (Vec J) at h2
122
+ rw [dim_vec] at h2; omega
123
+
124
+ theorem rank_ge_congr (A : Mat I I) (B : Mat J I) :
125
+ A.rank + 2*B.rank ≤ (liftM B B A).rank + 2*Fintype.card I := by
126
+ have h1 := rank_ge_mul B A
127
+ have h2 := rank_ge_mul (B*A) Bᵀ
128
+ rw [Matrix.rank_transpose] at h2
129
+ rw [liftM_def]; omega
130
+
131
+ /-- Choose a large space in the domain which becomes disjoint from S in the target. -/
132
+ theorem choose_free {A : Mat I J} (hA : Injective A.mulVec) (S : Space (Vec I)) :
133
+ ∃ T : Space (Vec J), Fintype.card J ≤ dim T+dim S ∧
134
+ Disjoint S (colSp (A*pack T)) := by
135
+ let U := S.comap A.mulVecLin
136
+ obtain ⟨T,hT⟩ := U.exists_isCompl
137
+ refine ⟨T,?_,?_⟩
138
+ · have hi : dim U ≤ dim S := by
139
+ let q := A.mulVecLin ∘ₗ U.subtype
140
+ have he (x : U) : q x∈S := x.property
141
+ let B := q.codRestrict S he
142
+ have hb : Injective B := fun x y h => Subtype.ext (hA
143
+ (show q x=q y from congrArg Subtype.val h))
144
+ exact LinearMap.finrank_le_finrank_of_injective hb
145
+ have he := (U.prodEquivOfIsCompl T hT).finrank_eq
146
+ rw [finrank_prod,show finrank F (Vec J)=Fintype.card J from dim_vec _] at he
147
+ change dim U + dim T = Fintype.card J at he
148
+ rw [← he]
149
+ exact (Nat.add_le_add_right hi _).trans_eq (Nat.add_comm _ _)
150
+ rw [colSp,mulVecLin_mul,LinearMap.range_comp,show LinearMap.range (pack T).mulVecLin = T from
151
+ colSp_pack T]
152
+ rw [disjoint_iff_inf_le]
153
+ rintro x ⟨hx,y,hy,rfl⟩
154
+ have hh : y∈U⊓T := ⟨hx,hy⟩
155
+ rw [hT.inf_eq_bot] at hh
156
+ have he : y=0 := by simpa using hh
157
+ rw [he,map_zero]; exact Submodule.zero_mem _
158
+
159
+ end HadwigerCounterexample
160
+
161
+ end
162
+
163
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/CoverAlternatives.lean CHANGED
@@ -1,86 +1,86 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PhaseClassCompatibility
2
- import OAI.Combinatorics.HadwigerCounterexample.LowRankKernelAlternative
3
-
4
- namespace OAI
5
-
6
- /-! # Cover Alternatives -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix Finset Filter
11
- open scoped BigOperators Topology
12
- open PredictionClass
13
- variable {p : Shape} {n N M : ℕ}
14
- theorem longStory (T : Cov p N) (d : ℕ) (hd : cdim p T≤d)
15
- (c : PredictionClass) (α : Party) (r : F) (Δ : UnitType p n N → Ambient p N)
16
- (w : Wgt (UnitType p n N)) (hh : ∀ x,w x≠ 0 → covered p T (Δ x)) :
17
- ∃ P : UnitType p n N×UnitType p n N→Prop,named P (bp (3*d*(N:ℝ))) ∧
18
- named (P ∘ Prod.swap) (bp (3*d*(N:ℝ))) ∧
19
- ∀ x,pairW w w x≠0→ (P x↔ matchUp Δ α r c x) := by
20
- classical
21
- let Q (x : Daypair p T×Daypair p T) : Prop :=
22
- c.compatible α r (fun i=>x.2.2 i x.1.1, fun i => x.1.2 i x.2.1)
23
- let f := daypair p T Δ w
24
- refine ⟨fun x=>Q (f x.1,f x.2),day_named p T Δ w d hd Q,day_named p T Δ w d hd (Q∘Prod.swap),
25
- fun x hx=>?_⟩
26
- have hs (x y : UnitType p n N) (hz : w x≠0) (i) :
27
- (f y).2 i (f x).1=tone p y (unary i) (Δ x) :=
28
- shadow_valid p T Δ hh x y (unary i) hz
29
- unfold Q matchUp quench
30
- dsimp only
31
- simp_rw [hs _ _ (left_ne_zero_of_mul hx), hs _ _ (right_ne_zero_of_mul hx)]
32
-
33
- theorem matSeason (T : Cov p N) (d : ℕ) (hd : cdim p T≤d)
34
- (α : Party) (r : F) (Δ : UnitType p n N → Ambient p N)
35
- (w : Wgt (UnitType p n N)) (hh : ∀ x,w x≠ 0 → covered p T (Δ x)) :
36
- ∃ F : Mat (UnitType p n N) (UnitType p n N), F.rank ≤ 2*d*N ∧
37
- (∀ x, F x x=0) ∧ ∀ x,pairW w w x≠0→ (F x.1 x.2=0 ↔ matchUp Δ α r twinned x) := by
38
- let F := circus p T Δ w
39
- have he : F.rank ≤ N*d := (circus_rank ..).trans (Nat.mul_le_mul_left _ hd)
40
- refine ⟨F+Fᵀ, (mrk_add_le F Fᵀ).trans ?_,fun x=>char_two _,fun x hx=>?_⟩
41
- · rw [Matrix.rank_transpose]; nlinarith
42
- · unfold matchUp compatible quench
43
- dsimp only; rw [←tone_vec,←tone_vec]
44
- have h x y (hx : w x ≠ 0) : F x y = tone p y allSide (Δ x) :=
45
- shadow_valid p T Δ hh x y allSide hx
46
- change (F x.1 x.2+F x.2 x.1=0) ↔ _
47
- rw [h _ _ (left_ne_zero_of_mul hx),h _ _ (right_ne_zero_of_mul hx)]
48
-
49
- set_option maxHeartbeats 1000000 in
50
- theorem coFiber (l : Filter ℕ) (hz : l≤atTop) {M : ℕ} (hM : 1≤ M) (d : ℕ)
51
- (p : Shape) (w : ∀ n,Wgt (UnitType p n (M*n)))
52
- (α : Party) (r : F) (Δ : ∀ n, UnitType p n (M*n) → Ambient p (M*n))
53
- (h : ∀ᶠ n in l, IsLaw (w n) ∧
54
- ∃ T : Cov p (M*n),cdim p T≤d∧∀ x,w n x≠0 → covered p T (Δ n x))
55
- (he : slight l (fun n=>pr (pairW (w n) (w n)) (matchUp (Δ n) α r twinned))) :
56
- ∃ S : ∀ n, UnitType p n (M*n)→Prop,warm l (fun n=>((M*n:ℕ):ℝ)) (fun n=>pr (w n) (S n)) ∧
57
- ∀ᶠ n in l, ∀ x,S n x.1 → S n x.2 → matchUp (Δ n) α r twinned x := by
58
- classical
59
- let X n:= UnitType p n (M*n)
60
- let q n:= matchUp (Δ n) α r twinned
61
- let c (k : ℕ) := ((k:ℝ)+1)⁻¹
62
- let P n (S : X n→Prop) (k : ℕ) :=
63
- bp (-(c k)*((M*n:ℕ):ℝ)) ≤ pr (w n) S ∧ ∀ x,S x.1 → S x.2 → q n x
64
- have hf (k : ℕ) : ∀ᶠ n in l,∃ S : X n→Prop,P n S k := by
65
- obtain ⟨θ,hθ,hg⟩:= fiber_growth (2*d) (c k) (by unfold c; positivity) (by positivity)
66
- filter_upwards [h,he θ hθ, (trend_sizes l hz hM).1.eventually hg] with n hn hh hF
67
- obtain ⟨hv,T,hT,h⟩:=hn
68
- obtain ⟨F,hf,hz,hc⟩:= matSeason T d hT α r (Δ n) (w n) h
69
- have ht : pr (pairW (w n) (w n)) (fun x => F x.1 x.2=0) ≤ θ :=
70
- (avg_congr (fun x hx => show ind _=ind _ from congrArg ind (propext (hc x hx)))).trans_le hh
71
- have hr : (F.rank:ℝ)≤ 2*d*(M*n:ℕ) := by exact_mod_cast hf
72
- obtain ⟨S,hS,ht⟩:= hF (X n) F (w n) hv hr hz ht
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- let Y (x:X n) := S x∧ w n x≠0
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- have he : pr (w n) Y=pr (w n) S := avg_congr (fun x hx=>by simp [Y, hx])
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- refine ⟨Y, hS.trans_eq he.symm, fun x hx hy =>
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- (hc x (mul_ne_zero hx.2 hy.2)).mp (ht x.1 hx.1 x.2 hy.1)⟩
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- obtain ⟨k,hk,hf⟩:= diagonal_gains l hz (fun n k => ∃ S : X n→Prop,P n S k) hf
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- obtain ⟨S,h⟩:= taking hf
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- refine ⟨S,fun ε he=>?_, h.mono fun i hi=>hi.2⟩
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- filter_upwards [h,slight_inv_stage hk ε he] with n hn hh
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- exact (bp_le (mul_le_mul_of_nonneg_right (neg_le_neg hh) (Nat.cast_nonneg _))).trans hn.1
82
- end HadwigerCounterexample
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-
84
- end
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-
86
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PhaseClassCompatibility
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+ import OAI.Combinatorics.HadwigerCounterexample.LowRankKernelAlternative
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+
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+ namespace OAI
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+
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+ /-! # Cover Alternatives -/
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+
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+ noncomputable section
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+ namespace HadwigerCounterexample
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+ open Matrix Finset Filter
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+ open scoped BigOperators Topology
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+ open PredictionClass
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+ variable {p : Shape} {n N M : ℕ}
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+ theorem longStory (T : Cov p N) (d : ℕ) (hd : cdim p T≤d)
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+ (c : PredictionClass) (α : Party) (r : F) (Δ : UnitType p n N → Ambient p N)
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+ (w : Wgt (UnitType p n N)) (hh : ∀ x,w x≠ 0 → covered p T (Δ x)) :
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+ ∃ P : UnitType p n N×UnitType p n N→Prop,named P (bp (3*d*(N:ℝ))) ∧
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+ named (P ∘ Prod.swap) (bp (3*d*(N:ℝ))) ∧
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+ ∀ x,pairW w w x≠0→ (P x↔ matchUp Δ α r c x) := by
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+ classical
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+ let Q (x : Daypair p T×Daypair p T) : Prop :=
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+ c.compatible α r (fun i=>x.2.2 i x.1.1, fun i => x.1.2 i x.2.1)
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+ let f := daypair p T Δ w
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+ refine ⟨fun x=>Q (f x.1,f x.2),day_named p T Δ w d hd Q,day_named p T Δ w d hd (Q∘Prod.swap),
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+ fun x hx=>?_⟩
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+ have hs (x y : UnitType p n N) (hz : w x≠0) (i) :
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+ (f y).2 i (f x).1=tone p y (unary i) (Δ x) :=
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+ shadow_valid p T Δ hh x y (unary i) hz
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+ unfold Q matchUp quench
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+ dsimp only
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+ simp_rw [hs _ _ (left_ne_zero_of_mul hx), hs _ _ (right_ne_zero_of_mul hx)]
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+
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+ theorem matSeason (T : Cov p N) (d : ℕ) (hd : cdim p T≤d)
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+ (α : Party) (r : F) (Δ : UnitType p n N → Ambient p N)
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+ (w : Wgt (UnitType p n N)) (hh : ∀ x,w x≠ 0 → covered p T (Δ x)) :
36
+ ∃ F : Mat (UnitType p n N) (UnitType p n N), F.rank ≤ 2*d*N ∧
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+ (∀ x, F x x=0) ∧ ∀ x,pairW w w x≠0→ (F x.1 x.2=0 ↔ matchUp Δ α r twinned x) := by
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+ let F := circus p T Δ w
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+ have he : F.rank ≤ N*d := (circus_rank ..).trans (Nat.mul_le_mul_left _ hd)
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+ refine ⟨F+Fᵀ, (mrk_add_le F Fᵀ).trans ?_,fun x=>char_two _,fun x hx=>?_⟩
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+ · rw [Matrix.rank_transpose]; nlinarith
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+ · unfold matchUp compatible quench
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+ dsimp only; rw [←tone_vec,←tone_vec]
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+ have h x y (hx : w x ≠ 0) : F x y = tone p y allSide (Δ x) :=
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+ shadow_valid p T Δ hh x y allSide hx
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+ change (F x.1 x.2+F x.2 x.1=0) ↔ _
47
+ rw [h _ _ (left_ne_zero_of_mul hx),h _ _ (right_ne_zero_of_mul hx)]
48
+
49
+ set_option maxHeartbeats 1000000 in
50
+ theorem coFiber (l : Filter ℕ) (hz : l≤atTop) {M : ℕ} (hM : 1≤ M) (d : ℕ)
51
+ (p : Shape) (w : ∀ n,Wgt (UnitType p n (M*n)))
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+ (α : Party) (r : F) (Δ : ∀ n, UnitType p n (M*n) → Ambient p (M*n))
53
+ (h : ∀ᶠ n in l, IsLaw (w n) ∧
54
+ ∃ T : Cov p (M*n),cdim p T≤d∧∀ x,w n x≠0 → covered p T (Δ n x))
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+ (he : slight l (fun n=>pr (pairW (w n) (w n)) (matchUp (Δ n) α r twinned))) :
56
+ ∃ S : ∀ n, UnitType p n (M*n)→Prop,warm l (fun n=>((M*n:ℕ):ℝ)) (fun n=>pr (w n) (S n)) ∧
57
+ ∀ᶠ n in l, ∀ x,S n x.1 → S n x.2 → matchUp (Δ n) α r twinned x := by
58
+ classical
59
+ let X n:= UnitType p n (M*n)
60
+ let q n:= matchUp (Δ n) α r twinned
61
+ let c (k : ℕ) := ((k:ℝ)+1)⁻¹
62
+ let P n (S : X n→Prop) (k : ℕ) :=
63
+ bp (-(c k)*((M*n:ℕ):ℝ)) ≤ pr (w n) S ∧ ∀ x,S x.1 → S x.2 → q n x
64
+ have hf (k : ℕ) : ∀ᶠ n in l,∃ S : X n→Prop,P n S k := by
65
+ obtain ⟨θ,hθ,hg⟩:= fiber_growth (2*d) (c k) (by unfold c; positivity) (by positivity)
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+ filter_upwards [h,he θ hθ, (trend_sizes l hz hM).1.eventually hg] with n hn hh hF
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+ obtain ⟨hv,T,hT,h⟩:=hn
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+ obtain ⟨F,hf,hz,hc⟩:= matSeason T d hT α r (Δ n) (w n) h
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+ have ht : pr (pairW (w n) (w n)) (fun x => F x.1 x.2=0) ≤ θ :=
70
+ (avg_congr (fun x hx => show ind _=ind _ from congrArg ind (propext (hc x hx)))).trans_le hh
71
+ have hr : (F.rank:ℝ)≤ 2*d*(M*n:ℕ) := by exact_mod_cast hf
72
+ obtain ⟨S,hS,ht⟩:= hF (X n) F (w n) hv hr hz ht
73
+ let Y (x:X n) := S x∧ w n x≠0
74
+ have he : pr (w n) Y=pr (w n) S := avg_congr (fun x hx=>by simp [Y, hx])
75
+ refine ⟨Y, hS.trans_eq he.symm, fun x hx hy =>
76
+ (hc x (mul_ne_zero hx.2 hy.2)).mp (ht x.1 hx.1 x.2 hy.1)⟩
77
+ obtain ⟨k,hk,hf⟩:= diagonal_gains l hz (fun n k => ∃ S : X n→Prop,P n S k) hf
78
+ obtain ⟨S,h⟩:= taking hf
79
+ refine ⟨S,fun ε he=>?_, h.mono fun i hi=>hi.2⟩
80
+ filter_upwards [h,slight_inv_stage hk ε he] with n hn hh
81
+ exact (bp_le (mul_le_mul_of_nonneg_right (neg_le_neg hh) (Nat.cast_nonneg _))).trans hn.1
82
+ end HadwigerCounterexample
83
+
84
+ end
85
+
86
+ end OAI