roseking commited on
Commit
1ba15dd
·
verified ·
1 Parent(s): fcab081

Sync from openai/math@faee2cf485a8 (part 10)

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. lean/OAI/Combinatorics/HadwigerCounterexample/PrimalChannelDecomposition.lean +123 -123
  2. lean/OAI/Combinatorics/HadwigerCounterexample/PrimalChannelTests.lean +158 -158
  3. lean/OAI/Combinatorics/HadwigerCounterexample/PrimalSpaceCompression.lean +199 -199
  4. lean/OAI/Combinatorics/HadwigerCounterexample/ProbePointMasses.lean +208 -208
  5. lean/OAI/Combinatorics/HadwigerCounterexample/ProductCharacterTests.lean +135 -135
  6. lean/OAI/Combinatorics/HadwigerCounterexample/ProductComparisonScales.lean +130 -130
  7. lean/OAI/Combinatorics/HadwigerCounterexample/ProductCoordinateReplacement.lean +58 -58
  8. lean/OAI/Combinatorics/HadwigerCounterexample/ProductLaws.lean +119 -119
  9. lean/OAI/Combinatorics/HadwigerCounterexample/ProjectedSurrogates.lean +159 -159
  10. lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionEnergy.lean +129 -129
  11. lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionError.lean +100 -100
  12. lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionNets.lean +106 -106
  13. lean/OAI/Combinatorics/HadwigerCounterexample/QuadraticFourier.lean +83 -83
  14. lean/OAI/Combinatorics/HadwigerCounterexample/QuadraticTesters.lean +163 -163
  15. lean/OAI/Combinatorics/HadwigerCounterexample/QueryConcentration.lean +172 -172
  16. lean/OAI/Combinatorics/HadwigerCounterexample/RandomBinaryMixing.lean +120 -120
  17. lean/OAI/Combinatorics/HadwigerCounterexample/RandomLinearTransforms.lean +141 -141
  18. lean/OAI/Combinatorics/HadwigerCounterexample/RankEfficientDecomposition.lean +130 -130
  19. lean/OAI/Combinatorics/HadwigerCounterexample/RankSubrectangles.lean +126 -126
  20. lean/OAI/Combinatorics/HadwigerCounterexample/RareLeafEvents.lean +101 -101
  21. lean/OAI/Combinatorics/HadwigerCounterexample/RareTestEvents.lean +132 -132
  22. lean/OAI/Combinatorics/HadwigerCounterexample/RawFrameLaws.lean +185 -185
  23. lean/OAI/Combinatorics/HadwigerCounterexample/RealizationConditions.lean +93 -93
  24. lean/OAI/Combinatorics/HadwigerCounterexample/RectangleComparisons.lean +146 -146
  25. lean/OAI/Combinatorics/HadwigerCounterexample/RectangleRegularity.lean +115 -115
  26. lean/OAI/Combinatorics/HadwigerCounterexample/RecursiveComparisonErrors.lean +93 -93
  27. lean/OAI/Combinatorics/HadwigerCounterexample/ReferenceProductTests.lean +85 -85
  28. lean/OAI/Combinatorics/HadwigerCounterexample/RefinedPinImages.lean +240 -240
  29. lean/OAI/Combinatorics/HadwigerCounterexample/RefinementEnergy.lean +105 -105
  30. lean/OAI/Combinatorics/HadwigerCounterexample/ReindexedFourierSupport.lean +73 -73
  31. lean/OAI/Combinatorics/HadwigerCounterexample/RelationMismatchBounds.lean +129 -129
  32. lean/OAI/Combinatorics/HadwigerCounterexample/RelativeEntropy.lean +108 -108
  33. lean/OAI/Combinatorics/HadwigerCounterexample/RelativeInjectionBounds.lean +110 -110
  34. lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedBatchLaws.lean +131 -131
  35. lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedQueryBounds.lean +161 -161
  36. lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedQueryEnergy.lean +117 -117
  37. lean/OAI/Combinatorics/HadwigerCounterexample/ReservedLabels.lean +122 -122
  38. lean/OAI/Combinatorics/HadwigerCounterexample/ResidualCutPairs.lean +202 -202
  39. lean/OAI/Combinatorics/HadwigerCounterexample/ResidualRegularity.lean +107 -107
  40. lean/OAI/Combinatorics/HadwigerCounterexample/ResponseAnnihilators.lean +206 -206
  41. lean/OAI/Combinatorics/HadwigerCounterexample/ResponseSolvability.lean +188 -188
  42. lean/OAI/Combinatorics/HadwigerCounterexample/RestrictedComparisonLaws.lean +101 -101
  43. lean/OAI/Combinatorics/HadwigerCounterexample/RoundedRefinements.lean +156 -156
  44. lean/OAI/Combinatorics/HadwigerCounterexample/SampledGraphs.lean +102 -102
  45. lean/OAI/Combinatorics/HadwigerCounterexample/ScalarStatusAlgebra.lean +162 -162
  46. lean/OAI/Combinatorics/HadwigerCounterexample/ScriptGramCorrespondence.lean +104 -104
  47. lean/OAI/Combinatorics/HadwigerCounterexample/SimultaneousProjection.lean +142 -142
  48. lean/OAI/Combinatorics/HadwigerCounterexample/SinglePositionExpansion.lean +82 -82
  49. lean/OAI/Combinatorics/HadwigerCounterexample/SingletonPhaseTests.lean +135 -135
  50. lean/OAI/Combinatorics/HadwigerCounterexample/SmallCoverBounds.lean +116 -116
lean/OAI/Combinatorics/HadwigerCounterexample/PrimalChannelDecomposition.lean CHANGED
@@ -1,123 +1,123 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RealizationConditions
2
-
3
- namespace OAI
4
-
5
- /-! # Primal Channel Decomposition -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Submodule
11
- variable {I : Type} [Fintype I]
12
-
13
- /-- Onto projection in coordinates, killing a specified disjoint subspace. -/
14
- structure ProjData (S T : Space (Vec I)) (A : Mat I I) : Prop where
15
- onto (x) : A *ᵥ x ∈ S
16
- fixes x : x ∈ S → A *ᵥ x=x
17
- kills x : x∈T → A *ᵥ x=0
18
-
19
- theorem proj_exists (S T : Space (Vec I)) (h : Disjoint S T) :
20
- ∃ A, ProjData S T A := by
21
- classical
22
- obtain ⟨A,hA⟩ := mat_left_inv (inj_fromCols (pack_inj S) (pack_inj T)
23
- (by rw [colSp_pack, colSp_pack]; exact h))
24
- let B := A.toRows₁
25
- let C := A.toRows₂
26
- have he : fromRows B C * fromCols (pack S) (pack T)=1 := by
27
- rw [show fromRows B C=A from Matrix.fromRows_toRows A,hA]
28
- rw [Matrix.fromRows_mul_fromCols, ← Matrix.fromBlocks_one] at he
29
- have hb : B*pack S=1 := congrArg Matrix.toBlocks₁₁ he
30
- have hg : B*pack T=0 := congrArg Matrix.toBlocks₁₂ he
31
- refine ⟨pack S*B,fun x => ?_,fun x hx => ?_,fun x hx => ?_⟩
32
- · rw [←mulVec_mulVec]
33
- exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
34
- · obtain ⟨x,rfl⟩ := (pack_mem_iff ..).mp hx
35
- rw [←mulVec_mulVec, mulVec_mulVec _ B, hb,one_mulVec]
36
- · obtain ⟨x,rfl⟩ := (pack_mem_iff ..).mp hx
37
- rw [←mulVec_mulVec,mulVec_mulVec _ B,hg,zero_mulVec,mulVec_zero]
38
-
39
- theorem rank_maps {J : Type} [Fintype J] {A : Mat I J} (S : Space (Vec I))
40
- (ha : ∀ x,A *ᵥ x∈ S) : A.rank ≤ dim S :=
41
- Submodule.finrank_mono (show colSp A ≤ S by
42
- rintro x ⟨x,rfl⟩; exact ha x)
43
-
44
- theorem evmat_addM {J : Type} [Fintype J] (A B : Mat I J) (x y) :
45
- evmat (A+B) x y = evmat A x y+evmat B x y := by rw [←mpair_outer,mpair_add,
46
- mpair_outer,mpair_outer]
47
-
48
- theorem evmat_subM {J : Type} [Fintype J] (A B : Mat I J) (x y) :
49
- evmat (A-B) x y = evmat A x y-evmat B x y := by
50
- rw [ZModModule.sub_eq_add, ZModModule.sub_eq_add, evmat_addM]
51
-
52
- variable {p : Shape} {n : ℕ}
53
-
54
- /-- aggregate primal (resp. channel) directions in a unit. -/
55
- def primal (p : Shape) (n : ℕ) := colSp (IP p n true) ⊔ colSp (IP p n false)
56
- def channels (p : Shape) (n : ℕ) := colSp (IH p n true) ⊔ colSp (IH p n false)
57
-
58
- theorem ip_le_primal (b : Bool) : colSp (IP p n b)≤primal p n := by
59
- cases b; exact le_sup_right; exact le_sup_left
60
-
61
- theorem ih_le_channels (b : Bool) : colSp (IH p n b)≤channels p n := by
62
- cases b; exact le_sup_right; exact le_sup_left
63
-
64
- theorem channels_proj (b : Bool) : channels p n ≤ LinearMap.ker (IP p n b)ᵀ.mulVecLin := by
65
- have hi (i : Bool) : colSp (IH p n i) ≤ LinearMap.ker (IP p n b)ᵀ.mulVecLin := by
66
- rintro x ⟨y,rfl⟩
67
- change (IP p n b)ᵀ *ᵥ (IH p n i *ᵥ y) = _
68
- rw [mulVec_mulVec, IP_IH, Matrix.zero_mulVec]
69
- exact sup_le (hi _) (hi _)
70
-
71
- theorem primal_proj (b : Bool) : primal p n ≤ LinearMap.ker (IH p n b)ᵀ.mulVecLin := by
72
- have hi (i : Bool) : colSp (IP p n i) ≤ LinearMap.ker (IH p n b)ᵀ.mulVecLin := by
73
- rintro x ⟨y,rfl⟩
74
- change (IH p n b)ᵀ *ᵥ (IP p n i *ᵥ y) = _
75
- rw [mulVec_mulVec, IH_IP, Matrix.zero_mulVec]
76
- exact sup_le (hi _) (hi _)
77
-
78
- theorem channels_disjoint : Disjoint (primal p n) (channels p n) := by
79
- rw [disjoint_iff_inf_le]
80
- rintro x ⟨hx,hy⟩
81
- have he (b : Bool) : (IP p n b)ᵀ *ᵥ x = 0 := channels_proj b hy
82
- have hf (b : Bool) : (IH p n b)ᵀ *ᵥ x = 0 := primal_proj b hx
83
- have hh := ip_decomp (show Dir p n from x)
84
- simp_rw [he,hf,mulVec_zero,add_zero, Finset.sum_const_zero] at hh
85
- rw [← hh]
86
- exact Submodule.zero_mem _
87
-
88
- /-- prSmall a z consists of the pure-primal coordinates kept by the small
89
- table. -/
90
- def prSmall (a : Plan p n) (z : Place p) :=
91
- (sPin a z true).map (IP p n true).mulVecLin ⊔
92
- (sPin a z false).map (IP p n false).mulVecLin
93
-
94
- theorem prSmall_le (a : Plan p n) (z : Place p) : prSmall a z≤primal p n := by
95
- apply sup_le_sup <;> rintro x ⟨x,h,rfl⟩ <;> exact ⟨x,rfl⟩
96
-
97
- theorem prSmall_dim (a : Plan p n) (z : Place p) :
98
- dim (prSmall a z)≤2 * planRank a := by
99
- rw [two_mul]
100
- have hh (i : Bool) :
101
- dim ((sPin a z i).map (IP p n i).mulVecLin) ≤ planRank a :=
102
- (Submodule.finrank_map_le ..).trans ((sPin_dim ..).trans (dim_le_plan a z))
103
- exact (Submodule.finrank_add_le_finrank_add_finrank ..).trans (Nat.add_le_add (hh _) (hh _))
104
-
105
- theorem prSmall_table (a : Plan p n) (z : Place p) :
106
- tabSpace a z = prSmall a z ⊔ channels p n := by
107
- unfold tabSpace halfTable prSmall channels
108
- ac_rfl
109
-
110
- theorem keyPlane (v : Volley p n I) (t : Tagging p I) (z : Place p) :
111
- v.keyPlan t z≤ primal p n := by
112
- unfold Volley.keyPlan colSp
113
- rw [range_mulVecLin]
114
- apply Submodule.span_le.mpr
115
- rintro x ⟨j,rfl⟩
116
- exact (show colSp (IP p n _) ≤ primal p n from ip_le_primal (v.obj j.val))
117
- (show v.rayLoc j.val∈colSp (IP p n _) from ⟨_,rfl⟩)
118
-
119
- end HadwigerCounterexample
120
-
121
- end
122
-
123
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RealizationConditions
2
+
3
+ namespace OAI
4
+
5
+ /-! # Primal Channel Decomposition -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Submodule
11
+ variable {I : Type} [Fintype I]
12
+
13
+ /-- Onto projection in coordinates, killing a specified disjoint subspace. -/
14
+ structure ProjData (S T : Space (Vec I)) (A : Mat I I) : Prop where
15
+ onto (x) : A *ᵥ x ∈ S
16
+ fixes x : x ∈ S → A *ᵥ x=x
17
+ kills x : x∈T → A *ᵥ x=0
18
+
19
+ theorem proj_exists (S T : Space (Vec I)) (h : Disjoint S T) :
20
+ ∃ A, ProjData S T A := by
21
+ classical
22
+ obtain ⟨A,hA⟩ := mat_left_inv (inj_fromCols (pack_inj S) (pack_inj T)
23
+ (by rw [colSp_pack, colSp_pack]; exact h))
24
+ let B := A.toRows₁
25
+ let C := A.toRows₂
26
+ have he : fromRows B C * fromCols (pack S) (pack T)=1 := by
27
+ rw [show fromRows B C=A from Matrix.fromRows_toRows A,hA]
28
+ rw [Matrix.fromRows_mul_fromCols, ← Matrix.fromBlocks_one] at he
29
+ have hb : B*pack S=1 := congrArg Matrix.toBlocks₁₁ he
30
+ have hg : B*pack T=0 := congrArg Matrix.toBlocks₁₂ he
31
+ refine ⟨pack S*B,fun x => ?_,fun x hx => ?_,fun x hx => ?_⟩
32
+ · rw [←mulVec_mulVec]
33
+ exact (pack_mem_iff ..).mpr ⟨_,rfl⟩
34
+ · obtain ⟨x,rfl⟩ := (pack_mem_iff ..).mp hx
35
+ rw [←mulVec_mulVec, mulVec_mulVec _ B, hb,one_mulVec]
36
+ · obtain ⟨x,rfl⟩ := (pack_mem_iff ..).mp hx
37
+ rw [←mulVec_mulVec,mulVec_mulVec _ B,hg,zero_mulVec,mulVec_zero]
38
+
39
+ theorem rank_maps {J : Type} [Fintype J] {A : Mat I J} (S : Space (Vec I))
40
+ (ha : ∀ x,A *ᵥ x∈ S) : A.rank ≤ dim S :=
41
+ Submodule.finrank_mono (show colSp A ≤ S by
42
+ rintro x ⟨x,rfl⟩; exact ha x)
43
+
44
+ theorem evmat_addM {J : Type} [Fintype J] (A B : Mat I J) (x y) :
45
+ evmat (A+B) x y = evmat A x y+evmat B x y := by rw [←mpair_outer,mpair_add,
46
+ mpair_outer,mpair_outer]
47
+
48
+ theorem evmat_subM {J : Type} [Fintype J] (A B : Mat I J) (x y) :
49
+ evmat (A-B) x y = evmat A x y-evmat B x y := by
50
+ rw [ZModModule.sub_eq_add, ZModModule.sub_eq_add, evmat_addM]
51
+
52
+ variable {p : Shape} {n : ℕ}
53
+
54
+ /-- aggregate primal (resp. channel) directions in a unit. -/
55
+ def primal (p : Shape) (n : ℕ) := colSp (IP p n true) ⊔ colSp (IP p n false)
56
+ def channels (p : Shape) (n : ℕ) := colSp (IH p n true) ⊔ colSp (IH p n false)
57
+
58
+ theorem ip_le_primal (b : Bool) : colSp (IP p n b)≤primal p n := by
59
+ cases b; exact le_sup_right; exact le_sup_left
60
+
61
+ theorem ih_le_channels (b : Bool) : colSp (IH p n b)≤channels p n := by
62
+ cases b; exact le_sup_right; exact le_sup_left
63
+
64
+ theorem channels_proj (b : Bool) : channels p n ≤ LinearMap.ker (IP p n b)ᵀ.mulVecLin := by
65
+ have hi (i : Bool) : colSp (IH p n i) ≤ LinearMap.ker (IP p n b)ᵀ.mulVecLin := by
66
+ rintro x ⟨y,rfl⟩
67
+ change (IP p n b)ᵀ *ᵥ (IH p n i *ᵥ y) = _
68
+ rw [mulVec_mulVec, IP_IH, Matrix.zero_mulVec]
69
+ exact sup_le (hi _) (hi _)
70
+
71
+ theorem primal_proj (b : Bool) : primal p n ≤ LinearMap.ker (IH p n b)ᵀ.mulVecLin := by
72
+ have hi (i : Bool) : colSp (IP p n i) ≤ LinearMap.ker (IH p n b)ᵀ.mulVecLin := by
73
+ rintro x ⟨y,rfl⟩
74
+ change (IH p n b)ᵀ *ᵥ (IP p n i *ᵥ y) = _
75
+ rw [mulVec_mulVec, IH_IP, Matrix.zero_mulVec]
76
+ exact sup_le (hi _) (hi _)
77
+
78
+ theorem channels_disjoint : Disjoint (primal p n) (channels p n) := by
79
+ rw [disjoint_iff_inf_le]
80
+ rintro x ⟨hx,hy⟩
81
+ have he (b : Bool) : (IP p n b)ᵀ *ᵥ x = 0 := channels_proj b hy
82
+ have hf (b : Bool) : (IH p n b)ᵀ *ᵥ x = 0 := primal_proj b hx
83
+ have hh := ip_decomp (show Dir p n from x)
84
+ simp_rw [he,hf,mulVec_zero,add_zero, Finset.sum_const_zero] at hh
85
+ rw [← hh]
86
+ exact Submodule.zero_mem _
87
+
88
+ /-- prSmall a z consists of the pure-primal coordinates kept by the small
89
+ table. -/
90
+ def prSmall (a : Plan p n) (z : Place p) :=
91
+ (sPin a z true).map (IP p n true).mulVecLin ⊔
92
+ (sPin a z false).map (IP p n false).mulVecLin
93
+
94
+ theorem prSmall_le (a : Plan p n) (z : Place p) : prSmall a z≤primal p n := by
95
+ apply sup_le_sup <;> rintro x ⟨x,h,rfl⟩ <;> exact ⟨x,rfl⟩
96
+
97
+ theorem prSmall_dim (a : Plan p n) (z : Place p) :
98
+ dim (prSmall a z)≤2 * planRank a := by
99
+ rw [two_mul]
100
+ have hh (i : Bool) :
101
+ dim ((sPin a z i).map (IP p n i).mulVecLin) ≤ planRank a :=
102
+ (Submodule.finrank_map_le ..).trans ((sPin_dim ..).trans (dim_le_plan a z))
103
+ exact (Submodule.finrank_add_le_finrank_add_finrank ..).trans (Nat.add_le_add (hh _) (hh _))
104
+
105
+ theorem prSmall_table (a : Plan p n) (z : Place p) :
106
+ tabSpace a z = prSmall a z ⊔ channels p n := by
107
+ unfold tabSpace halfTable prSmall channels
108
+ ac_rfl
109
+
110
+ theorem keyPlane (v : Volley p n I) (t : Tagging p I) (z : Place p) :
111
+ v.keyPlan t z≤ primal p n := by
112
+ unfold Volley.keyPlan colSp
113
+ rw [range_mulVecLin]
114
+ apply Submodule.span_le.mpr
115
+ rintro x ⟨j,rfl⟩
116
+ exact (show colSp (IP p n _) ≤ primal p n from ip_le_primal (v.obj j.val))
117
+ (show v.rayLoc j.val∈colSp (IP p n _) from ⟨_,rfl⟩)
118
+
119
+ end HadwigerCounterexample
120
+
121
+ end
122
+
123
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/PrimalChannelTests.lean CHANGED
@@ -1,158 +1,158 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.GramCharacterQuotients
2
-
3
- namespace OAI
4
-
5
- /-! # Primal Channel Tests -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Submodule Finset
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ}
12
-
13
- private theorem cp_rep (f : Module.Dual F (Cross p n)) :
14
- ∃ M : Cross p n,cpDual p M=f := by
15
- classical
16
- let B : Cross p n →ₗ[F] Module.Dual F (Cross p n) := {
17
- toFun := cpDual p
18
- map_add' := by
19
- intro x y
20
- refine LinearMap.ext fun w => ?_
21
- rw [LinearMap.add_apply]
22
- simp only [cpDual_val,Pi.add_apply,mpair_add, Finset.sum_add_distrib]
23
- map_smul' := by
24
- intro a x
25
- refine LinearMap.ext fun w => ?_
26
- rw [LinearMap.smul_apply]
27
- simp only [cpDual_val,Pi.smul_apply,mpair_smul,RingHom.id_apply,smul_eq_mul,Finset.mul_sum] }
28
- have hb : Function.Injective B := by
29
- rw [← LinearMap.ker_eq_bot]
30
- refine le_bot_iff.mp (fun x hx => ?_)
31
- have h1 : x = 0 := by
32
- funext i
33
- apply mpair_nondeg
34
- refine LinearMap.ext fun y => ?_
35
- change cpDual p x=0 at hx
36
- have h := LinearMap.congr_fun hx (Pi.single i y)
37
- rw [cpDual_val,Finset.sum_eq_single i] at h
38
- · rwa [Pi.single_eq_same] at h
39
- · intro j _ hj; simp [hj]
40
- simp
41
- rw [h1]; exact Submodule.zero_mem _
42
- exact rk_surj.mpr ((rk_inj.mp hb).trans Subspace.dual_finrank_eq.symm) f
43
-
44
- abbrev CheckOne (p : Shape) (n : ℕ) :=
45
- Place p → Bool → Bool → Mat (Chan p) (Row p n)
46
- abbrev CheckGram (p : Shape) (n : ℕ) :=
47
- CheckOne p n × CheckOne p n
48
- instance cgOneFin (p : Shape) (n : ℕ) : Fintype (CheckOne p n) := by
49
- classical
50
- letI : Fintype (Mat (Chan p) (Row p n)) := inferInstance
51
- letI : Fintype (Bool → Bool → Mat (Chan p) (Row p n)) := inferInstance
52
- exact inferInstance
53
- instance cgFin (p : Shape) (n : ℕ) : Fintype (CheckGram p n) := inferInstance
54
-
55
- def testgram (p : Shape) {n} : Cross p n →ₗ[F] CheckGram p n where
56
- toFun A := (scalarBlocks p A, scalarBlocks p (reciprocal p A))
57
- map_add' A B := by
58
- apply Prod.ext <;>
59
- · ext; simp only [Pi.add_apply,Prod.fst_add,Prod.snd_add,
60
- scalarBlocks,channelOut,reciprocal,Matrix.add_apply,Matrix.add_mul,Matrix.transpose_add]
61
- map_smul' a A := by
62
- apply Prod.ext <;>
63
- · ext; simp only [Pi.smul_apply,Prod.smul_fst,Prod.smul_snd,
64
- scalarBlocks,channelOut,reciprocal,Matrix.smul_apply,Matrix.smul_mul,Matrix.transpose_smul,
65
- RingHom.id_apply]
66
-
67
- theorem checkgram_dim :
68
- dim (CheckGram p n)=16*ncComp p*p.h*Fintype.card (Row p n) := by
69
- classical
70
- let r := p.h*Fintype.card (Row p n)
71
- let T := Mat (Chan p) (Row p n)
72
- have hf : finrank F T=r := (dim_mat _ _).trans (by simp [r,Chan])
73
- have hg {I V : Type} [Fintype I] [AddCommGroup V] [Module F V] [FiniteDimensional F V] :
74
- finrank F (I→V) = Fintype.card I * finrank F V := by
75
- rw [finrank_pi_fintype]; simp
76
- have h : finrank F (CheckOne p n)=8*ncComp p*r := by
77
- unfold CheckOne
78
- rw [hg,hg,hg,hf]
79
- simp [ncComp,Place]
80
- ring
81
- unfold CheckGram dim
82
- rw [Module.finrank_prod,h]
83
- unfold r; ring
84
-
85
- theorem indicator_test {V A : Type} [Fintype A] [AddCommGroup V] [Module F V]
86
- [Fintype V] (s : A → V) (w : Wgt A) (hw : IsLaw w) (ε : ℝ) (he : 0≤ε)
87
- (hc : ∀ f : Module.Dual F V, let Y := avg w (fun x => wsign (f (s x))); Y=1 ∨ |Y|≤ε) :
88
- bp (-(dim V:ℝ))- ε ≤ pr w (fun x => s x=0) := by
89
- classical
90
- let T := Module.Dual F V
91
- have : Finite T := Finite.of_injective _ DFunLike.coe_injective
92
- let : Fintype T := Fintype.ofFinite T
93
- have h (v : V) : ind (v=0) = avg unif (fun f : T => wsign (f v)) := by
94
- have h := wsign_lin (Module.evalEquiv F V v)
95
- rw [map_eq_zero_iff _ (Module.evalEquiv F V).injective] at h
96
- exact h.symm
97
- unfold pr
98
- simp_rw [h]
99
- rw [avg_avg]
100
- let E (v : T) := ind (v=0)
101
- have hE : avg unif E = bp (-(dim V:ℝ)) := by
102
- change pr unif (fun v : T => v=0)=_
103
- rw [pr_point',unif_apply,card_space,
104
- show dim T=dim V from Subspace.dual_finrank_eq,bp_neg]
105
- rw [← hE,show avg unif E - ε= avg unif (fun v : T => E v-ε) from (by
106
- rw [avg_sub,unif_law.avg_const])]
107
- refine avg_mono unif_law.nz fun x => ?_
108
- by_cases hh : x=0
109
- · subst x
110
- change ind (0= (0:T))-ε ≤ avg w (fun _ => wsign 0)
111
- rw [ind_one rfl,hw.avg_const,wsign_zero]; linarith
112
- unfold E
113
- rw [ind_zero hh,zero_sub]
114
- rcases hc x with hi|hi
115
- · rw [hi]; linarith
116
- exact (abs_le.mp hi).1
117
-
118
- theorem gram_hit (Q : Cross p n) {u w : Wgt (UnitType p n N)}
119
- (hu : IsLaw u) (hw : IsLaw w) {f b : Pin p n N}
120
- (hc : f.clear 0.05 u) (hd : b.clear 0.05 w)
121
- (h : ∀ x,u x≠0 → ∀ y,w y≠0 → rowAgree f.sp (actual p x y) Q ∧
122
- rowAgree b.sp (actual p y x) (reciprocal p Q))
123
- (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ)≤0.01*N) :
124
- hit N ≤ pr (pairW u w) (fun x =>
125
- testgram p (actual p x.1 x.2)=testgram p Q) := by
126
- classical
127
- let v := pairW u w
128
- let s (x : UnitType p n N × UnitType p n N) := testgram p (actual p x.1 x.2 - Q)
129
- have hh (g : Module.Dual F (CheckGram p n)) :
130
- let Y := avg v (fun x => wsign (g (s x)))
131
- Y=1 ∨ |Y|≤bp (-0.45*N) := by
132
- obtain ⟨M,hM⟩ := cp_rep (g ∘ₗ testgram p)
133
- have hf x := LinearMap.congr_fun hM x
134
- have he x : g (s x) = cpDual p M _ := (hf (actual p x.1 x.2-Q)).symm
135
- dsimp only
136
- simp_rw [he]
137
- exact gramCharacter Q M hu hw hc hd h
138
- have hg := indicator_test s v (pairW_law hu hw) (bp (-0.45*N)) (bp_pos _).le hh
139
- have he : pr v (fun x => s x=0)=pr v (fun x => testgram p (actual p x.1 x.2)=testgram p Q) := by
140
- apply congrArg (pr v)
141
- funext x; apply propext
142
- unfold s
143
- have he (A : Cross p n) : testgram p (A+Q) = testgram p A+testgram p Q := (testgram p).map_add' _ _
144
- rw [show actual p x.1 x.2-Q=actual p x.1 x.2+Q from ZModModule.sub_eq_add ..,he, ← ZModModule.sub_eq_add,sub_eq_zero]
145
- rw [he] at hg
146
- refine le_trans ?_ hg
147
- have hn : 100≤(N:ℝ) := by exact_mod_cast hN
148
- unfold hit
149
- have heq := bp_le (show -0.45*N≤-0.02*(N:ℝ) by linarith only [hn])
150
- have heq' : 2*bp (-0.02*N) ≤ bp (-(dim (CheckGram p n):ℝ)) := by
151
- rw [← bp_one,← bp_add]; apply bp_le; linarith only [hn,hT]
152
- linarith only [heq,heq']
153
-
154
- end HadwigerCounterexample
155
-
156
- end
157
-
158
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.GramCharacterQuotients
2
+
3
+ namespace OAI
4
+
5
+ /-! # Primal Channel Tests -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Submodule Finset
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ}
12
+
13
+ private theorem cp_rep (f : Module.Dual F (Cross p n)) :
14
+ ∃ M : Cross p n,cpDual p M=f := by
15
+ classical
16
+ let B : Cross p n →ₗ[F] Module.Dual F (Cross p n) := {
17
+ toFun := cpDual p
18
+ map_add' := by
19
+ intro x y
20
+ refine LinearMap.ext fun w => ?_
21
+ rw [LinearMap.add_apply]
22
+ simp only [cpDual_val,Pi.add_apply,mpair_add, Finset.sum_add_distrib]
23
+ map_smul' := by
24
+ intro a x
25
+ refine LinearMap.ext fun w => ?_
26
+ rw [LinearMap.smul_apply]
27
+ simp only [cpDual_val,Pi.smul_apply,mpair_smul,RingHom.id_apply,smul_eq_mul,Finset.mul_sum] }
28
+ have hb : Function.Injective B := by
29
+ rw [← LinearMap.ker_eq_bot]
30
+ refine le_bot_iff.mp (fun x hx => ?_)
31
+ have h1 : x = 0 := by
32
+ funext i
33
+ apply mpair_nondeg
34
+ refine LinearMap.ext fun y => ?_
35
+ change cpDual p x=0 at hx
36
+ have h := LinearMap.congr_fun hx (Pi.single i y)
37
+ rw [cpDual_val,Finset.sum_eq_single i] at h
38
+ · rwa [Pi.single_eq_same] at h
39
+ · intro j _ hj; simp [hj]
40
+ simp
41
+ rw [h1]; exact Submodule.zero_mem _
42
+ exact rk_surj.mpr ((rk_inj.mp hb).trans Subspace.dual_finrank_eq.symm) f
43
+
44
+ abbrev CheckOne (p : Shape) (n : ℕ) :=
45
+ Place p → Bool → Bool → Mat (Chan p) (Row p n)
46
+ abbrev CheckGram (p : Shape) (n : ℕ) :=
47
+ CheckOne p n × CheckOne p n
48
+ instance cgOneFin (p : Shape) (n : ℕ) : Fintype (CheckOne p n) := by
49
+ classical
50
+ letI : Fintype (Mat (Chan p) (Row p n)) := inferInstance
51
+ letI : Fintype (Bool → Bool → Mat (Chan p) (Row p n)) := inferInstance
52
+ exact inferInstance
53
+ instance cgFin (p : Shape) (n : ℕ) : Fintype (CheckGram p n) := inferInstance
54
+
55
+ def testgram (p : Shape) {n} : Cross p n →ₗ[F] CheckGram p n where
56
+ toFun A := (scalarBlocks p A, scalarBlocks p (reciprocal p A))
57
+ map_add' A B := by
58
+ apply Prod.ext <;>
59
+ · ext; simp only [Pi.add_apply,Prod.fst_add,Prod.snd_add,
60
+ scalarBlocks,channelOut,reciprocal,Matrix.add_apply,Matrix.add_mul,Matrix.transpose_add]
61
+ map_smul' a A := by
62
+ apply Prod.ext <;>
63
+ · ext; simp only [Pi.smul_apply,Prod.smul_fst,Prod.smul_snd,
64
+ scalarBlocks,channelOut,reciprocal,Matrix.smul_apply,Matrix.smul_mul,Matrix.transpose_smul,
65
+ RingHom.id_apply]
66
+
67
+ theorem checkgram_dim :
68
+ dim (CheckGram p n)=16*ncComp p*p.h*Fintype.card (Row p n) := by
69
+ classical
70
+ let r := p.h*Fintype.card (Row p n)
71
+ let T := Mat (Chan p) (Row p n)
72
+ have hf : finrank F T=r := (dim_mat _ _).trans (by simp [r,Chan])
73
+ have hg {I V : Type} [Fintype I] [AddCommGroup V] [Module F V] [FiniteDimensional F V] :
74
+ finrank F (I→V) = Fintype.card I * finrank F V := by
75
+ rw [finrank_pi_fintype]; simp
76
+ have h : finrank F (CheckOne p n)=8*ncComp p*r := by
77
+ unfold CheckOne
78
+ rw [hg,hg,hg,hf]
79
+ simp [ncComp,Place]
80
+ ring
81
+ unfold CheckGram dim
82
+ rw [Module.finrank_prod,h]
83
+ unfold r; ring
84
+
85
+ theorem indicator_test {V A : Type} [Fintype A] [AddCommGroup V] [Module F V]
86
+ [Fintype V] (s : A → V) (w : Wgt A) (hw : IsLaw w) (ε : ℝ) (he : 0≤ε)
87
+ (hc : ∀ f : Module.Dual F V, let Y := avg w (fun x => wsign (f (s x))); Y=1 ∨ |Y|≤ε) :
88
+ bp (-(dim V:ℝ))- ε ≤ pr w (fun x => s x=0) := by
89
+ classical
90
+ let T := Module.Dual F V
91
+ have : Finite T := Finite.of_injective _ DFunLike.coe_injective
92
+ let : Fintype T := Fintype.ofFinite T
93
+ have h (v : V) : ind (v=0) = avg unif (fun f : T => wsign (f v)) := by
94
+ have h := wsign_lin (Module.evalEquiv F V v)
95
+ rw [map_eq_zero_iff _ (Module.evalEquiv F V).injective] at h
96
+ exact h.symm
97
+ unfold pr
98
+ simp_rw [h]
99
+ rw [avg_avg]
100
+ let E (v : T) := ind (v=0)
101
+ have hE : avg unif E = bp (-(dim V:ℝ)) := by
102
+ change pr unif (fun v : T => v=0)=_
103
+ rw [pr_point',unif_apply,card_space,
104
+ show dim T=dim V from Subspace.dual_finrank_eq,bp_neg]
105
+ rw [← hE,show avg unif E - ε= avg unif (fun v : T => E v-ε) from (by
106
+ rw [avg_sub,unif_law.avg_const])]
107
+ refine avg_mono unif_law.nz fun x => ?_
108
+ by_cases hh : x=0
109
+ · subst x
110
+ change ind (0= (0:T))-ε ≤ avg w (fun _ => wsign 0)
111
+ rw [ind_one rfl,hw.avg_const,wsign_zero]; linarith
112
+ unfold E
113
+ rw [ind_zero hh,zero_sub]
114
+ rcases hc x with hi|hi
115
+ · rw [hi]; linarith
116
+ exact (abs_le.mp hi).1
117
+
118
+ theorem gram_hit (Q : Cross p n) {u w : Wgt (UnitType p n N)}
119
+ (hu : IsLaw u) (hw : IsLaw w) {f b : Pin p n N}
120
+ (hc : f.clear 0.05 u) (hd : b.clear 0.05 w)
121
+ (h : ∀ x,u x≠0 → ∀ y,w y≠0 → rowAgree f.sp (actual p x y) Q ∧
122
+ rowAgree b.sp (actual p y x) (reciprocal p Q))
123
+ (hN : 100 ≤ N) (hT : (dim (CheckGram p n) : ℝ)≤0.01*N) :
124
+ hit N ≤ pr (pairW u w) (fun x =>
125
+ testgram p (actual p x.1 x.2)=testgram p Q) := by
126
+ classical
127
+ let v := pairW u w
128
+ let s (x : UnitType p n N × UnitType p n N) := testgram p (actual p x.1 x.2 - Q)
129
+ have hh (g : Module.Dual F (CheckGram p n)) :
130
+ let Y := avg v (fun x => wsign (g (s x)))
131
+ Y=1 ∨ |Y|≤bp (-0.45*N) := by
132
+ obtain ⟨M,hM⟩ := cp_rep (g ∘ₗ testgram p)
133
+ have hf x := LinearMap.congr_fun hM x
134
+ have he x : g (s x) = cpDual p M _ := (hf (actual p x.1 x.2-Q)).symm
135
+ dsimp only
136
+ simp_rw [he]
137
+ exact gramCharacter Q M hu hw hc hd h
138
+ have hg := indicator_test s v (pairW_law hu hw) (bp (-0.45*N)) (bp_pos _).le hh
139
+ have he : pr v (fun x => s x=0)=pr v (fun x => testgram p (actual p x.1 x.2)=testgram p Q) := by
140
+ apply congrArg (pr v)
141
+ funext x; apply propext
142
+ unfold s
143
+ have he (A : Cross p n) : testgram p (A+Q) = testgram p A+testgram p Q := (testgram p).map_add' _ _
144
+ rw [show actual p x.1 x.2-Q=actual p x.1 x.2+Q from ZModModule.sub_eq_add ..,he, ← ZModModule.sub_eq_add,sub_eq_zero]
145
+ rw [he] at hg
146
+ refine le_trans ?_ hg
147
+ have hn : 100≤(N:ℝ) := by exact_mod_cast hN
148
+ unfold hit
149
+ have heq := bp_le (show -0.45*N≤-0.02*(N:ℝ) by linarith only [hn])
150
+ have heq' : 2*bp (-0.02*N) ≤ bp (-(dim (CheckGram p n):ℝ)) := by
151
+ rw [← bp_one,← bp_add]; apply bp_le; linarith only [hn,hT]
152
+ linarith only [heq,heq']
153
+
154
+ end HadwigerCounterexample
155
+
156
+ end
157
+
158
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/PrimalSpaceCompression.lean CHANGED
@@ -1,199 +1,199 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RankEfficientDecomposition
2
-
3
- namespace OAI
4
-
5
- /-! # Primal Space Compression -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Submodule Finset
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ} {I J : Type} [Fintype I] [Fintype J]
12
-
13
- private theorem exists_cover (S : J→Space (Vec I)) (D : ℕ) (h : ∀ j,dim (S j)≤D) :
14
- ∃ A : Space (Vec I),(∀ j,S j ≤ A) ∧ dim A≤Fintype.card J*D := by
15
- classical
16
- have hh (s : Finset J) :
17
- ∃ A : Space (Vec I),(∀ j∈s,S j≤A) ∧ dim A≤s.card*D := by
18
- induction s using Finset.induction with
19
- | empty => exact ⟨⊥,by simp, by simp [dim]⟩
20
- | insert a s ha ih =>
21
- obtain ⟨A,hA,hD⟩ := ih
22
- refine ⟨S a⊔A,fun j hj => ?_,?_⟩
23
- · rcases Finset.mem_insert.mp hj with rfl|g
24
- · exact le_sup_left
25
- exact (hA _ g).trans le_sup_right
26
- simpa only [Finset.card_insert_of_notMem ha,Nat.add_mul,one_mul,add_comm D] using
27
- ((Submodule.finrank_add_le_finrank_add_finrank (S a) A).trans (add_le_add (h a) hD))
28
- simpa only [Finset.mem_univ,true_imp_iff,card_univ] using hh Finset.univ
29
-
30
- theorem compact_endo (S T : Space (Vec I)) :
31
- ∃ A : Mat I I,(∀ x∈S,A *ᵥ x=x) ∧ (∀ x∈T,Aᵀ *ᵥ x=x) ∧ A.rank≤dim S+dim T := by
32
- classical
33
- obtain ⟨A,hA⟩ := proj_exists S ⊥ disjoint_bot_right
34
- obtain ⟨B,hB⟩ := proj_exists T ⊥ disjoint_bot_right
35
- refine ⟨A+Bᵀ * (1-A),fun x hx => ?_,fun x hx => ?_,?_⟩
36
- · rw [Matrix.add_mulVec,←Matrix.mulVec_mulVec,Matrix.sub_mulVec,hA.fixes x hx,
37
- Matrix.one_mulVec,sub_self,Matrix.mulVec_zero,add_zero]
38
- · rw [Matrix.transpose_add,Matrix.add_mulVec,Matrix.transpose_mul,Matrix.transpose_transpose,
39
- ← mulVec_mulVec,hB.fixes x hx,Matrix.transpose_sub,Matrix.sub_mulVec,Matrix.transpose_one,
40
- Matrix.one_mulVec,add_sub_cancel]
41
- exact (mrk_add_le ..).trans (add_le_add (rank_maps S hA.onto) ((Matrix.rank_mul_le_left ..).trans
42
- (by rw [Matrix.rank_transpose]; exact rank_maps T hB.onto)))
43
-
44
- abbrev Sel (p : Shape) := SelIdx p.b p.j
45
- abbrev Nendo (p : Shape) (n : ℕ) := Block p.g→ Mat (Fin n) (Fin n)
46
- def iFix (p : Shape) (n : ℕ) : Mat (Row p n) (Sel p) := embedMat (fun s => (s,none))
47
- def iCoeff (p : Shape) (n : ℕ) (s : Sel p) (d : Block p.g) :
48
- Mat (Row p n) (Fin n) := embedMat (fun i => (s,some (d,i)))
49
-
50
- /-- induced row vector transform. -/
51
- def rowShrink (p : Shape) {n} (A : Nendo p n) : Mat (Row p n) (Row p n) :=
52
- iFix p n*(iFix p n)ᵀ +
53
- ∑ i : Sel p,∑ d : Block p.g,iCoeff p n i d*A d*(iCoeff p n i d)ᵀ
54
-
55
- def readCoeff (p : Shape) {n} (s : Sel p) (d : Block p.g) (v : Ray p n) :=
56
- fun i => v (s,some (d,i))
57
-
58
- theorem readCoeff_val (s : Sel p) (d : Block p.g) (v : Ray p n) :
59
- (iCoeff p n s d)ᵀ *ᵥ v=readCoeff p s d v := embedMatT _ _
60
-
61
- theorem shrink_transpose (A : Nendo p n) :
62
- (rowShrink p A)ᵀ=rowShrink p (fun i => (A i)ᵀ) := by
63
- simp only [rowShrink,Matrix.transpose_add,Matrix.transpose_mul,
64
- Matrix.transpose_sum,Matrix.transpose_transpose,Matrix.mul_assoc]
65
-
66
- private theorem coeff_none (A : Nendo p n) (v : Ray p n) (s : Sel p) :
67
- (rowShrink p A *ᵥ v) (s,none)=v (s,none) := by
68
- classical
69
- simp only [rowShrink,Matrix.add_mulVec, Matrix.sum_mulVec,←Matrix.mulVec_mulVec,readCoeff_val]
70
- unfold iFix iCoeff
71
- rw [embedMatT]
72
- simp [embedMat,Matrix.mulVec,dotProduct,Finset.sum_apply,Matrix.mul_apply]
73
-
74
- set_option maxHeartbeats 600000 in
75
- private theorem coeff_some (A : Nendo p n) (v : Ray p n) (s : Sel p)
76
- (d : Block p.g) (i : Fin n) :
77
- (rowShrink p A *ᵥ v) (s,some (d,i))=(A d *ᵥ (readCoeff p s d v)) i := by
78
- classical
79
- simp only [rowShrink,Matrix.add_mulVec, Matrix.sum_mulVec,←Matrix.mulVec_mulVec,readCoeff_val]
80
- simp only [Pi.add_apply,Finset.sum_apply]
81
- have hz (x) : (iFix p n *ᵥ x) (s,some (d,i))=0 := by
82
- simp [iFix,embedMat,Matrix.mulVec,dotProduct]
83
- rw [hz,zero_add]
84
- have hh (t : Sel p) (a : Block p.g) (x : Vec (Fin n)) :
85
- (iCoeff p n t a *ᵥ x) (s,some (d,i)) =
86
- if s=t then (if d=a then x i else 0) else 0 := by
87
- by_cases e : s=t <;> by_cases g : d=a <;> simp [iCoeff,embedMat,Matrix.mulVec,dotProduct,e,g]
88
- simp_rw [hh]
89
- rw [Finset.sum_eq_single s]
90
- · simp only [ite_true,Finset.sum_ite_eq,mem_univ]
91
- · intro a _ ha; simp only [ite_eq_right (Ne.symm ha),Finset.sum_const_zero]
92
- simp
93
-
94
- private theorem coeff_fixes (A : Nendo p n) (v : Ray p n)
95
- (h : ∀ d s, A d *ᵥ (readCoeff p s d v) = readCoeff p s d v) :
96
- rowShrink p A *ᵥ v=v := by
97
- funext i
98
- rcases i with ⟨s, _|⟨d,i⟩⟩
99
- · rw [coeff_none]
100
- rw [coeff_some,h]
101
- rfl
102
-
103
- def nbBlock (p : Shape) := Fintype.card (Block p.g)
104
- def ncComp (p : Shape) := Fintype.card (Comp p.g)
105
-
106
- theorem shrink_rank (A : Nendo p n) (D : ℕ) (h : ∀ i,(A i).rank ≤ D) :
107
- (rowShrink p A).rank≤ psize p+ psize p* (nbBlock p*D) := by
108
- apply le_trans (mrk_add_le ..)
109
- apply add_le_add
110
- · exact (Matrix.rank_mul_le_left ..).trans (iFix p n).rank_le_card_width
111
- refine (mrk_sum_le ..).trans ((Finset.sum_le_sum (g:=fun _ => nbBlock p*D) (fun i _ => ?_)).trans_eq
112
- (by simp [psize,Sel]))
113
- refine (mrk_sum_le ..).trans ((Finset.sum_le_sum (g:=fun _ => D) (fun i _ => ?_)).trans_eq
114
- (by simp [nbBlock]))
115
- exact ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_right ..)).trans (h i)
116
-
117
- def dbits (p : Shape) (T R : ℕ) := ncComp p*2* psize p*(T+R)
118
- def drow (p : Shape) (T R : ℕ) := psize p+psize p*(nbBlock p*dbits p T R)
119
-
120
- theorem shrink_both (S T : Place p → Space (Ray p n)) (K R : ℕ)
121
- (hk : ∀ z,dim (S z) ≤K) (hr : ∀ z,dim (T z)≤R) :
122
- ∃ A : Nendo p n,
123
- (∀ z,∀ x∈S z,rowShrink p A *ᵥ x=x) ∧
124
- (∀ z,∀ x∈T z,(rowShrink p A)ᵀ *ᵥ x=x) ∧
125
- (rowShrink p A).rank ≤ drow p K R := by
126
- classical
127
- let W := Place p×Sel p
128
- have hp : Fintype.card (Place p×Sel p)=ncComp p*2*psize p := by
129
- simp only [Place,Fintype.card_prod,ncComp,Fintype.card_bool,psize,Sel]
130
- let G d (S : Place p → Space (Ray p n)) (z : Place p×Sel p) :=
131
- (S z.1).map (iCoeff p n z.2 d)ᵀ.mulVecLin
132
- obtain ⟨A,hA,hT,hL⟩ :
133
- ∃ A : Nendo p n,
134
- (∀ d z,∀ x∈G d S z,A d *ᵥ x=x) ∧
135
- (∀ d z,∀ x∈G d T z,(A d)ᵀ *ᵥ x=x) ∧ ∀ i,(A i).rank≤dbits p K R := by
136
- have he (d : Block p.g) :
137
- ∃ A : Mat (Fin n) (Fin n), (∀ z,∀ x∈G d S z,A *ᵥ x=x) ∧
138
- (∀ z,∀ x∈G d T z,Aᵀ *ᵥ x=x) ∧ A.rank≤dbits p K R := by
139
- obtain ⟨X,hX,hD⟩ := exists_cover (G d S) K (fun j => (Submodule.finrank_map_le ..).trans
140
- (hk j.1))
141
- obtain ⟨Y,hY,hD'⟩ := exists_cover (G d T) R (fun j => (Submodule.finrank_map_le ..).trans
142
- (hr j.1))
143
- obtain ⟨A,hA,hZ,hL⟩ := compact_endo X Y
144
- refine ⟨A,(fun z x hx => hA x (hX z hx)),(fun z x hx => hZ x (hY z hx)),?_⟩
145
- rw [hp] at hD hD'
146
- exact hL.trans ((add_le_add hD hD').trans_eq (Nat.mul_add ..).symm)
147
- choose A hA hZ hL using he
148
- exact ⟨A,hA,hZ,hL⟩
149
- have he (X : Place p → Space (Ray p n)) (z)
150
- (x : Ray p n) (hx : x∈X z) (d s) : readCoeff p s d x∈ G d X (z,s) :=
151
- ⟨x,hx,readCoeff_val ..⟩
152
- refine ⟨A,fun z x hx => ?_,fun z x hx => ?_,shrink_rank A _ hL⟩
153
- · exact coeff_fixes A x (fun d s => hA _ (z,s) _ (he S z x hx d s))
154
- rw [shrink_transpose]
155
- exact coeff_fixes _ _ (fun d s => hT _ (z,s) _ (he T z x hx d s))
156
-
157
- private def shrinkBase (A : Nendo p n) (v : Base p.g n) : Base p.g n :=
158
- fun x => (A x.1 *ᵥ (fun j => v (x.1,j))) x.2
159
-
160
- private theorem shrink_point (A : Nendo p n) (s : Label p.b) (z : Base p.g n) :
161
- rowShrink p A *ᵥ point p s z=point p s (shrinkBase (p:=p) A z) := by
162
- classical
163
- funext i
164
- rcases i with ⟨r,_|⟨d,i⟩⟩
165
- · rw [coeff_none]; rfl
166
- rw [coeff_some]
167
- simp only [point_eval,readCoeff,shrinkBase,Matrix.mulVec,dotProduct,
168
- baseV,Option.elim',Finset.mul_sum]
169
- exact Finset.sum_congr rfl fun i _ => mul_left_comm ..
170
-
171
- private theorem shrink_tag (A : Nendo p n) (l : Tag p.g) (M : Moment p n) (h : M∈Wtag p n l) :
172
- liftM (rowShrink p A) (rowShrink p A) M∈Wtag p n l := by
173
- classical
174
- unfold Wtag at h
175
- induction h using Submodule.span_induction with
176
- | mem m hm =>
177
- obtain ⟨s,z,hz,rfl⟩ := hm
178
- simp only [mom,liftM_outer,shrink_point]
179
- apply Submodule.subset_span
180
- refine ⟨s,shrinkBase (p:=p) A z,?_,rfl⟩
181
- intro d t hd i
182
- change (A (Block.O d t) *ᵥ _) i = _
183
- simp only [Matrix.mulVec,dotProduct,hz _ _ hd,mul_zero,Finset.sum_const_zero]
184
- | zero => rw [map_zero]; exact Submodule.zero_mem _
185
- | add x y hx hy ih ih' => rw [map_add]; exact Submodule.add_mem _ ih ih'
186
- | smul a x hx ih => rw [map_smul]; exact Submodule.smul_mem _ _ ih
187
-
188
- theorem shrink_X (A : Nendo p n) (M : Profile p n) (h : M∈Xspace p n) :
189
- (fun e : Comp p.g => liftM (rowShrink p A) (rowShrink p A) (M e))∈Xspace p n := by
190
- obtain ⟨w,hw,rfl⟩ := mem_X.mp h
191
- refine mem_X.mpr ⟨_,(fun l => shrink_tag A l _ (hw l)),?_⟩
192
- funext i
193
- exact (map_add (liftM (rowShrink p A) (rowShrink p A)) _ _).symm
194
-
195
- end HadwigerCounterexample
196
-
197
- end
198
-
199
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RankEfficientDecomposition
2
+
3
+ namespace OAI
4
+
5
+ /-! # Primal Space Compression -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Submodule Finset
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ} {I J : Type} [Fintype I] [Fintype J]
12
+
13
+ private theorem exists_cover (S : J→Space (Vec I)) (D : ℕ) (h : ∀ j,dim (S j)≤D) :
14
+ ∃ A : Space (Vec I),(∀ j,S j ≤ A) ∧ dim A≤Fintype.card J*D := by
15
+ classical
16
+ have hh (s : Finset J) :
17
+ ∃ A : Space (Vec I),(∀ j∈s,S j≤A) ∧ dim A≤s.card*D := by
18
+ induction s using Finset.induction with
19
+ | empty => exact ⟨⊥,by simp, by simp [dim]⟩
20
+ | insert a s ha ih =>
21
+ obtain ⟨A,hA,hD⟩ := ih
22
+ refine ⟨S a⊔A,fun j hj => ?_,?_⟩
23
+ · rcases Finset.mem_insert.mp hj with rfl|g
24
+ · exact le_sup_left
25
+ exact (hA _ g).trans le_sup_right
26
+ simpa only [Finset.card_insert_of_notMem ha,Nat.add_mul,one_mul,add_comm D] using
27
+ ((Submodule.finrank_add_le_finrank_add_finrank (S a) A).trans (add_le_add (h a) hD))
28
+ simpa only [Finset.mem_univ,true_imp_iff,card_univ] using hh Finset.univ
29
+
30
+ theorem compact_endo (S T : Space (Vec I)) :
31
+ ∃ A : Mat I I,(∀ x∈S,A *ᵥ x=x) ∧ (∀ x∈T,Aᵀ *ᵥ x=x) ∧ A.rank≤dim S+dim T := by
32
+ classical
33
+ obtain ⟨A,hA⟩ := proj_exists S ⊥ disjoint_bot_right
34
+ obtain ⟨B,hB⟩ := proj_exists T ⊥ disjoint_bot_right
35
+ refine ⟨A+Bᵀ * (1-A),fun x hx => ?_,fun x hx => ?_,?_⟩
36
+ · rw [Matrix.add_mulVec,←Matrix.mulVec_mulVec,Matrix.sub_mulVec,hA.fixes x hx,
37
+ Matrix.one_mulVec,sub_self,Matrix.mulVec_zero,add_zero]
38
+ · rw [Matrix.transpose_add,Matrix.add_mulVec,Matrix.transpose_mul,Matrix.transpose_transpose,
39
+ ← mulVec_mulVec,hB.fixes x hx,Matrix.transpose_sub,Matrix.sub_mulVec,Matrix.transpose_one,
40
+ Matrix.one_mulVec,add_sub_cancel]
41
+ exact (mrk_add_le ..).trans (add_le_add (rank_maps S hA.onto) ((Matrix.rank_mul_le_left ..).trans
42
+ (by rw [Matrix.rank_transpose]; exact rank_maps T hB.onto)))
43
+
44
+ abbrev Sel (p : Shape) := SelIdx p.b p.j
45
+ abbrev Nendo (p : Shape) (n : ℕ) := Block p.g→ Mat (Fin n) (Fin n)
46
+ def iFix (p : Shape) (n : ℕ) : Mat (Row p n) (Sel p) := embedMat (fun s => (s,none))
47
+ def iCoeff (p : Shape) (n : ℕ) (s : Sel p) (d : Block p.g) :
48
+ Mat (Row p n) (Fin n) := embedMat (fun i => (s,some (d,i)))
49
+
50
+ /-- induced row vector transform. -/
51
+ def rowShrink (p : Shape) {n} (A : Nendo p n) : Mat (Row p n) (Row p n) :=
52
+ iFix p n*(iFix p n)ᵀ +
53
+ ∑ i : Sel p,∑ d : Block p.g,iCoeff p n i d*A d*(iCoeff p n i d)ᵀ
54
+
55
+ def readCoeff (p : Shape) {n} (s : Sel p) (d : Block p.g) (v : Ray p n) :=
56
+ fun i => v (s,some (d,i))
57
+
58
+ theorem readCoeff_val (s : Sel p) (d : Block p.g) (v : Ray p n) :
59
+ (iCoeff p n s d)ᵀ *ᵥ v=readCoeff p s d v := embedMatT _ _
60
+
61
+ theorem shrink_transpose (A : Nendo p n) :
62
+ (rowShrink p A)ᵀ=rowShrink p (fun i => (A i)ᵀ) := by
63
+ simp only [rowShrink,Matrix.transpose_add,Matrix.transpose_mul,
64
+ Matrix.transpose_sum,Matrix.transpose_transpose,Matrix.mul_assoc]
65
+
66
+ private theorem coeff_none (A : Nendo p n) (v : Ray p n) (s : Sel p) :
67
+ (rowShrink p A *ᵥ v) (s,none)=v (s,none) := by
68
+ classical
69
+ simp only [rowShrink,Matrix.add_mulVec, Matrix.sum_mulVec,←Matrix.mulVec_mulVec,readCoeff_val]
70
+ unfold iFix iCoeff
71
+ rw [embedMatT]
72
+ simp [embedMat,Matrix.mulVec,dotProduct,Finset.sum_apply,Matrix.mul_apply]
73
+
74
+ set_option maxHeartbeats 600000 in
75
+ private theorem coeff_some (A : Nendo p n) (v : Ray p n) (s : Sel p)
76
+ (d : Block p.g) (i : Fin n) :
77
+ (rowShrink p A *ᵥ v) (s,some (d,i))=(A d *ᵥ (readCoeff p s d v)) i := by
78
+ classical
79
+ simp only [rowShrink,Matrix.add_mulVec, Matrix.sum_mulVec,←Matrix.mulVec_mulVec,readCoeff_val]
80
+ simp only [Pi.add_apply,Finset.sum_apply]
81
+ have hz (x) : (iFix p n *ᵥ x) (s,some (d,i))=0 := by
82
+ simp [iFix,embedMat,Matrix.mulVec,dotProduct]
83
+ rw [hz,zero_add]
84
+ have hh (t : Sel p) (a : Block p.g) (x : Vec (Fin n)) :
85
+ (iCoeff p n t a *ᵥ x) (s,some (d,i)) =
86
+ if s=t then (if d=a then x i else 0) else 0 := by
87
+ by_cases e : s=t <;> by_cases g : d=a <;> simp [iCoeff,embedMat,Matrix.mulVec,dotProduct,e,g]
88
+ simp_rw [hh]
89
+ rw [Finset.sum_eq_single s]
90
+ · simp only [ite_true,Finset.sum_ite_eq,mem_univ]
91
+ · intro a _ ha; simp only [ite_eq_right (Ne.symm ha),Finset.sum_const_zero]
92
+ simp
93
+
94
+ private theorem coeff_fixes (A : Nendo p n) (v : Ray p n)
95
+ (h : ∀ d s, A d *ᵥ (readCoeff p s d v) = readCoeff p s d v) :
96
+ rowShrink p A *ᵥ v=v := by
97
+ funext i
98
+ rcases i with ⟨s, _|⟨d,i⟩⟩
99
+ · rw [coeff_none]
100
+ rw [coeff_some,h]
101
+ rfl
102
+
103
+ def nbBlock (p : Shape) := Fintype.card (Block p.g)
104
+ def ncComp (p : Shape) := Fintype.card (Comp p.g)
105
+
106
+ theorem shrink_rank (A : Nendo p n) (D : ℕ) (h : ∀ i,(A i).rank ≤ D) :
107
+ (rowShrink p A).rank≤ psize p+ psize p* (nbBlock p*D) := by
108
+ apply le_trans (mrk_add_le ..)
109
+ apply add_le_add
110
+ · exact (Matrix.rank_mul_le_left ..).trans (iFix p n).rank_le_card_width
111
+ refine (mrk_sum_le ..).trans ((Finset.sum_le_sum (g:=fun _ => nbBlock p*D) (fun i _ => ?_)).trans_eq
112
+ (by simp [psize,Sel]))
113
+ refine (mrk_sum_le ..).trans ((Finset.sum_le_sum (g:=fun _ => D) (fun i _ => ?_)).trans_eq
114
+ (by simp [nbBlock]))
115
+ exact ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_mul_le_right ..)).trans (h i)
116
+
117
+ def dbits (p : Shape) (T R : ℕ) := ncComp p*2* psize p*(T+R)
118
+ def drow (p : Shape) (T R : ℕ) := psize p+psize p*(nbBlock p*dbits p T R)
119
+
120
+ theorem shrink_both (S T : Place p → Space (Ray p n)) (K R : ℕ)
121
+ (hk : ∀ z,dim (S z) ≤K) (hr : ∀ z,dim (T z)≤R) :
122
+ ∃ A : Nendo p n,
123
+ (∀ z,∀ x∈S z,rowShrink p A *ᵥ x=x) ∧
124
+ (∀ z,∀ x∈T z,(rowShrink p A)ᵀ *ᵥ x=x) ∧
125
+ (rowShrink p A).rank ≤ drow p K R := by
126
+ classical
127
+ let W := Place p×Sel p
128
+ have hp : Fintype.card (Place p×Sel p)=ncComp p*2*psize p := by
129
+ simp only [Place,Fintype.card_prod,ncComp,Fintype.card_bool,psize,Sel]
130
+ let G d (S : Place p → Space (Ray p n)) (z : Place p×Sel p) :=
131
+ (S z.1).map (iCoeff p n z.2 d)ᵀ.mulVecLin
132
+ obtain ⟨A,hA,hT,hL⟩ :
133
+ ∃ A : Nendo p n,
134
+ (∀ d z,∀ x∈G d S z,A d *ᵥ x=x) ∧
135
+ (∀ d z,∀ x∈G d T z,(A d)ᵀ *ᵥ x=x) ∧ ∀ i,(A i).rank≤dbits p K R := by
136
+ have he (d : Block p.g) :
137
+ ∃ A : Mat (Fin n) (Fin n), (∀ z,∀ x∈G d S z,A *ᵥ x=x) ∧
138
+ (∀ z,∀ x∈G d T z,Aᵀ *ᵥ x=x) ∧ A.rank≤dbits p K R := by
139
+ obtain ⟨X,hX,hD⟩ := exists_cover (G d S) K (fun j => (Submodule.finrank_map_le ..).trans
140
+ (hk j.1))
141
+ obtain ⟨Y,hY,hD'⟩ := exists_cover (G d T) R (fun j => (Submodule.finrank_map_le ..).trans
142
+ (hr j.1))
143
+ obtain ⟨A,hA,hZ,hL⟩ := compact_endo X Y
144
+ refine ⟨A,(fun z x hx => hA x (hX z hx)),(fun z x hx => hZ x (hY z hx)),?_⟩
145
+ rw [hp] at hD hD'
146
+ exact hL.trans ((add_le_add hD hD').trans_eq (Nat.mul_add ..).symm)
147
+ choose A hA hZ hL using he
148
+ exact ⟨A,hA,hZ,hL⟩
149
+ have he (X : Place p → Space (Ray p n)) (z)
150
+ (x : Ray p n) (hx : x∈X z) (d s) : readCoeff p s d x∈ G d X (z,s) :=
151
+ ⟨x,hx,readCoeff_val ..⟩
152
+ refine ⟨A,fun z x hx => ?_,fun z x hx => ?_,shrink_rank A _ hL⟩
153
+ · exact coeff_fixes A x (fun d s => hA _ (z,s) _ (he S z x hx d s))
154
+ rw [shrink_transpose]
155
+ exact coeff_fixes _ _ (fun d s => hT _ (z,s) _ (he T z x hx d s))
156
+
157
+ private def shrinkBase (A : Nendo p n) (v : Base p.g n) : Base p.g n :=
158
+ fun x => (A x.1 *ᵥ (fun j => v (x.1,j))) x.2
159
+
160
+ private theorem shrink_point (A : Nendo p n) (s : Label p.b) (z : Base p.g n) :
161
+ rowShrink p A *ᵥ point p s z=point p s (shrinkBase (p:=p) A z) := by
162
+ classical
163
+ funext i
164
+ rcases i with ⟨r,_|⟨d,i⟩⟩
165
+ · rw [coeff_none]; rfl
166
+ rw [coeff_some]
167
+ simp only [point_eval,readCoeff,shrinkBase,Matrix.mulVec,dotProduct,
168
+ baseV,Option.elim',Finset.mul_sum]
169
+ exact Finset.sum_congr rfl fun i _ => mul_left_comm ..
170
+
171
+ private theorem shrink_tag (A : Nendo p n) (l : Tag p.g) (M : Moment p n) (h : M∈Wtag p n l) :
172
+ liftM (rowShrink p A) (rowShrink p A) M∈Wtag p n l := by
173
+ classical
174
+ unfold Wtag at h
175
+ induction h using Submodule.span_induction with
176
+ | mem m hm =>
177
+ obtain ⟨s,z,hz,rfl⟩ := hm
178
+ simp only [mom,liftM_outer,shrink_point]
179
+ apply Submodule.subset_span
180
+ refine ⟨s,shrinkBase (p:=p) A z,?_,rfl⟩
181
+ intro d t hd i
182
+ change (A (Block.O d t) *ᵥ _) i = _
183
+ simp only [Matrix.mulVec,dotProduct,hz _ _ hd,mul_zero,Finset.sum_const_zero]
184
+ | zero => rw [map_zero]; exact Submodule.zero_mem _
185
+ | add x y hx hy ih ih' => rw [map_add]; exact Submodule.add_mem _ ih ih'
186
+ | smul a x hx ih => rw [map_smul]; exact Submodule.smul_mem _ _ ih
187
+
188
+ theorem shrink_X (A : Nendo p n) (M : Profile p n) (h : M∈Xspace p n) :
189
+ (fun e : Comp p.g => liftM (rowShrink p A) (rowShrink p A) (M e))∈Xspace p n := by
190
+ obtain ⟨w,hw,rfl⟩ := mem_X.mp h
191
+ refine mem_X.mpr ⟨_,(fun l => shrink_tag A l _ (hw l)),?_⟩
192
+ funext i
193
+ exact (map_add (liftM (rowShrink p A) (rowShrink p A)) _ _).symm
194
+
195
+ end HadwigerCounterexample
196
+
197
+ end
198
+
199
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProbePointMasses.lean CHANGED
@@ -1,208 +1,208 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.OffsetEnergy
2
-
3
- namespace OAI
4
-
5
- /-! # Probe Point Masses -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Module Submodule LinearMap Finset Function
11
- variable {p : Shape} {n N : ℕ} {q t : Place p→ℕ}
12
-
13
- def initCap (p : Shape) {n} (N : ℕ) (m : Mixer p n) (ε : ℝ) :=
14
- ∀ a : Pin p n N,pr (pairW (raw m N) (raw m N)) a.agree ≤ fee N ε (planRank a.sp)
15
-
16
- def bySide (p : Shape) {n N} (w : Wgt (UnitType p n N))
17
- (m : Mixer p n) (c : ℝ) :=
18
- ∀ i x, mapW w (fun y => onSide y i) x ≤ c*raw m N x
19
-
20
- theorem side_same {A : Type} [Fintype A] (i : Bool) (w : Wgt A) (hw : IsLaw w)
21
- (v : Wgt (A × A)) {H : ℝ}
22
- (h : ∀ x,mapW v (fun x => onSide x i) x≤H * w x)
23
- (P : A×A→Prop) (he : ∀ x y,onSide x i=onSide y i → (P x↔P y)) :
24
- pr v P ≤ H * pr (pairW w w) P := by
25
- classical
26
- let Q := fun x => P (x,x)
27
- have hq : P=fun x => Q (onSide x i) := by
28
- funext x; exact propext (he x _ (by cases i <;> rfl))
29
- rw [hq,←mapW_pr v (fun x => onSide x i) Q]
30
- refine (pr_cap h Q).trans_eq ?_
31
- have hh : pr (pairW w w) (fun x => Q (onSide x i)) = pr w Q := by
32
- cases i
33
- · change pr (pairW w w) (fun x => Q x.2)=pr w Q
34
- simpa only [true_and, pr_true,hw.total,one_mul] using pairW_pr w w (fun _ => True) Q
35
- change pr (pairW w w) (fun x => Q x.1)=pr w Q
36
- simpa only [and_true,pr_true,hw.total,mul_one] using pairW_pr w w Q (fun _ => True)
37
- rw [hh]
38
-
39
- def basisFrom (p : Shape) {n N} (x : UnitType p n N) (i : Bool)
40
- {q : Place p→ℕ} (Z : DTuple (p:=p) q N) :=
41
- ∀ z,Injective (Z z).mulVec ∧ colSp (Z z) ≤ imageP p x i (flipZ p z)
42
-
43
- def ctot (p : Shape) (r : Place p→ℕ) := ∑ i,r i
44
- abbrev Among (p : Shape) (n : ℕ) (q : Place p→ℕ) :=
45
- ∀ z, Mat (Row p n) (Fin (q z))
46
- def csignal (p : Shape) {n} (i : Bool) {q : Place p → ℕ}
47
- (S : Among p n q) : WTuple (p:=p) q n :=
48
- fun z => IP p n i * S z
49
-
50
- def poke (p : Shape) {n N} {q t : Place p → ℕ}
51
- (B : WTuple (p:=p) q n) (C : WTuple (p:=p) t n)
52
- (Z : DTuple (p:=p) q N) (A : DTuple (p:=p) t N)
53
- (x : UnitType p n N) :=
54
- ∀ z, images x (flipZ p z) * B z=Z z ∧ images x z * C z = A z
55
-
56
- set_option maxHeartbeats 600000 in
57
- theorem poke_cap (B : WTuple (p:=p) q n) (C : WTuple (p:=p) t n)
58
- (Z : DTuple (p:=p) q N) (A : DTuple (p:=p) t N)
59
- (m : Mixer p n) {ε : ℝ} (he : initCap p N m ε)
60
- (hB : ∀ z, Injective (B z).mulVec)
61
- (hC : ∀ z, Injective (C z).mulVec)
62
- (hD : ∀ z, Disjoint (colSp (B z)) (colSp (C (flipZ p z)))) :
63
- pr (pairW (raw m N) (raw m N)) (poke p B C Z A) ≤
64
- fee N ε (ctot p q+ctot p t) := by
65
- classical
66
- let μ := raw m N
67
- let w := pairW μ μ
68
- have hw (x) : 0 ≤ w x := mul_nonneg (raw_nonneg m _) (raw_nonneg m _)
69
- by_cases h : 0 < pr w (poke p B C Z A)
70
- · obtain ⟨x,hx,_⟩ := exists_of_pr_pos hw h
71
- let U : Plan p n := fun z => colSp (B (flipZ p z)) ⊔ colSp (C z)
72
- let V := Pin.make U x
73
- refine (pr_mono hw (q:=V.agree) fun y hy => ?_).trans ((he V).trans ?_)
74
- · intro z v hv
75
- change images y z *ᵥ v=images x z *ᵥ v
76
- obtain ⟨l,⟨t,rfl⟩,r,⟨u,rfl⟩,rfl⟩ := Submodule.mem_sup.mp
77
- (show v∈colSp (B (flipZ p z))⊔colSp (C z) from hv)
78
- have h1 := (hx (flipZ p z)).1.trans (hy (flipZ p z)).1.symm
79
- simp only [flipZ_flip] at h1
80
- simp only [mulVecLin_apply, Matrix.mulVec_add, Matrix.mulVec_mulVec,h1,
81
- (hx z).2,(hy z).2]
82
- · have hF (z) : dim (U z)=q (flipZ p z)+t z := by
83
- have hi := Submodule.finrank_sup_add_finrank_inf_eq (colSp (B (flipZ p z))) (colSp (C z))
84
- have hy := hD (flipZ p z)
85
- rw [flipZ_flip] at hy
86
- rw [hy.eq_bot,finrank_bot,add_zero] at hi
87
- exact hi.trans (congrArg₂ (·+·) ((mrk_inj.mp (hB (flipZ p z))).trans (Fintype.card_fin _))
88
- ((mrk_inj.mp (hC z)).trans (Fintype.card_fin _)))
89
- have ht : planRank V.sp=ctot p q+ctot p t := by
90
- unfold planRank ctot
91
- change ∑ z,dim (U z)= _
92
- simp_rw [hF,Finset.sum_add_distrib]
93
- exact congrArg (fun x => x + ∑ z,t z) (Equiv.sum_comp (flipEquiv p) q)
94
- rw [ht]
95
- exact (not_lt.mp h).trans (bp_pos _).le
96
-
97
- def heatRate (p : Shape) (n N : ℕ) (ε : ℝ) (x y : ℕ) :=
98
- bp (num (Row p n)* x+ 2*p.h*y)*fee N ε (x+y)
99
-
100
- instance amongFintype (p : Shape) (n : ℕ) (r : Place p→ℕ) : Fintype (Among p n r) := by
101
- classical exact inferInstanceAs (Fintype (Among p n r))
102
-
103
- private theorem format_size :
104
- num (Among p n q × (Bool → DTuple (p:=p) t p.h)) =
105
- bp (num (Row p n)*ctot p q+2*p.h*ctot p t) := by
106
- classical
107
- unfold num
108
- rw [card_space,dim,Module.finrank_prod, Nat.cast_add]
109
- have he : finrank F (Among p n q)=Fintype.card (Row p n)*ctot p q := by
110
- unfold Among
111
- rw [finrank_pi_fintype]
112
- unfold ctot; rw [Finset.mul_sum]
113
- refine Finset.sum_congr rfl fun i _ => (dim_mat ..).trans (by rw [Fintype.card_fin])
114
- have hf :
115
- finrank F (Bool → DTuple (p:=p) t p.h)=2*p.h*ctot p t := by
116
- rw [finrank_pi_fintype,Fintype.sum_bool]
117
- change dim (DTuple ..)+dim (DTuple ..)=_
118
- rw [tuple_dim]
119
- unfold ctot; ring
120
- rw [he,hf]
121
- push_cast; rfl
122
-
123
- set_option maxHeartbeats 800000 in
124
- theorem heat_rate (i : Bool) (S : Party) (hi : S i=1)
125
- (A : DTuple (p:=p) t N)
126
- (B : DTuple (p:=p) t N) (Z : DTuple (p:=p) q N)
127
- (m : Mixer p n) {ε : ℝ} (he : initCap p N m ε) :
128
- pr (pairW (raw m N) (raw m N)) (fun x =>
129
- basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x S A=B)
130
- ≤ heatRate p n N ε (ctot p q) (ctot p t) := by
131
- classical
132
- let M := Among p n q × (Bool → DTuple (p:=p) t p.h)
133
- let P (v : M) (x : UnitType p n N) :=
134
- let X := csignal p i v.1
135
- let Y := hfused p n _ v.2
136
- (∀ z, Injective (X z).mulVec ∧ Injective (Y z).mulVec) ∧ poke p X Y Z B x
137
- let w := pairW (raw m N) (raw m N)
138
- have hw x : 0 ≤ w x := mul_nonneg (raw_nonneg m _) (raw_nonneg m _)
139
- have h : ∀ x : UnitType p n N,basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x S A=B →
140
- ∃ v, P v x := by
141
- rintro x ⟨hF,hT,hU⟩
142
- choose A' hA using fun z => pull_cols (fpAt p (onSide x i) (flipZ p z)) (Z z) (hF z).2
143
- let C := sparks p x S A
144
- let Y := hfused p n _ C
145
- let X := csignal p i A'
146
- have hh z : images x (flipZ p z)*X z=Z z := by
147
- unfold X csignal
148
- rw [← Matrix.mul_assoc, images_ip]
149
- exact hA z
150
- refine ⟨(A',C),fun z => ⟨?_,hotfused x S A i hi hT z⟩, fun z => ?_⟩
151
- · have hg := (hF z).1
152
- rw [← hh z] at hg
153
- intro p' q he
154
- apply hg
155
- change X z *ᵥ p' = X z*ᵥ q at he
156
- rw [← Matrix.mulVec_mulVec,← Matrix.mulVec_mulVec,he]
157
- exact ⟨hh z,(fuse_val x S A z).trans (congr_fun hU z)⟩
158
- have hg (v : M) :
159
- pr w (P v) ≤ fee N ε (ctot p q+ctot p t) := by
160
- let X := csignal p i v.1
161
- let Y := hfused p n _ v.2
162
- by_cases hh : ∀ z, Injective (X z).mulVec ∧ Injective (Y z).mulVec
163
- · refine (pr_mono hw (p:=P v) (q:=poke p X Y Z B) fun x h => h.2).trans
164
- (poke_cap X Y _ _ m he (fun z => (hh z).1) (fun z => (hh z).2) ?_)
165
- intro z
166
- exact (channels_disjoint (p:=p) (n:=n)).mono
167
- ((col_follow ..).trans (ip_le_primal i)) (fused_support v.2 _)
168
- have heq : P v=(fun _ => False) := funext fun x => propext (iff_false_intro (fun h => hh h.1))
169
- rw [heq,pr_false]; exact (bp_pos _).le
170
- refine ((pr_mono hw h).trans (pr_exists_le hw P)).trans ?_
171
- refine (Finset.sum_le_sum fun i _ => hg i).trans_eq ?_
172
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul]
173
- change num (Among p n q × _) *_= _
174
- rw [format_size]; rfl
175
-
176
- theorem heat_one (i : Bool)
177
- (A : DTuple (p:=p) t N) (B : DTuple (p:=p) t N)
178
- (Z : DTuple (p:=p) q N)
179
- {w : Wgt (UnitType p n N)} {H : ℝ} (hH : 0 ≤ H)
180
- (m : Mixer p n) {ε : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
181
- (hw : bySide p w m H) :
182
- pr w (fun x => basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x (unary i) A=B) ≤
183
- H*heatRate p n N ε (ctot p q) (ctot p t) := by
184
- refine (side_same i _ hm w (hw i) _ ?_).trans
185
- (mul_le_mul_of_nonneg_left (heat_rate i (unary i) (by simp [unary]) A B Z m he) hH)
186
- intro x y h
187
- unfold basisFrom glimpse thermal imageP
188
- simp_rw [heat_unary,h]
189
-
190
- theorem heat_none (i : Bool) (Z : DTuple (p:=p) q N)
191
- {w : Wgt (UnitType p n N)} {H : ℝ} (hH : 0 ≤ H)
192
- (m : Mixer p n) {ε : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
193
- (hw : bySide p w m H) :
194
- pr w (fun x => basisFrom p x i Z) ≤ H*heatRate p n N ε (ctot p q) 0 := by
195
- classical
196
- let t : Place p→ℕ := fun _ => 0
197
- let B : DTuple (p:=p) t N := 0
198
- have hh := heat_one i B B Z hH m hm he hw
199
- have h1 (x : UnitType p n N) : glimpse p x i B := fun z v v' h => Subsingleton.elim v v'
200
- have h2 (x : UnitType p n N) : thermal p x (unary i) B=B := Subsingleton.elim _ _
201
- simp_rw [h1,h2,and_true] at hh
202
- simpa only [ctot,t,Finset.sum_const_zero] using hh
203
-
204
- end HadwigerCounterexample
205
-
206
- end
207
-
208
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.OffsetEnergy
2
+
3
+ namespace OAI
4
+
5
+ /-! # Probe Point Masses -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Module Submodule LinearMap Finset Function
11
+ variable {p : Shape} {n N : ℕ} {q t : Place p→ℕ}
12
+
13
+ def initCap (p : Shape) {n} (N : ℕ) (m : Mixer p n) (ε : ℝ) :=
14
+ ∀ a : Pin p n N,pr (pairW (raw m N) (raw m N)) a.agree ≤ fee N ε (planRank a.sp)
15
+
16
+ def bySide (p : Shape) {n N} (w : Wgt (UnitType p n N))
17
+ (m : Mixer p n) (c : ℝ) :=
18
+ ∀ i x, mapW w (fun y => onSide y i) x ≤ c*raw m N x
19
+
20
+ theorem side_same {A : Type} [Fintype A] (i : Bool) (w : Wgt A) (hw : IsLaw w)
21
+ (v : Wgt (A × A)) {H : ℝ}
22
+ (h : ∀ x,mapW v (fun x => onSide x i) x≤H * w x)
23
+ (P : A×A→Prop) (he : ∀ x y,onSide x i=onSide y i → (P x↔P y)) :
24
+ pr v P ≤ H * pr (pairW w w) P := by
25
+ classical
26
+ let Q := fun x => P (x,x)
27
+ have hq : P=fun x => Q (onSide x i) := by
28
+ funext x; exact propext (he x _ (by cases i <;> rfl))
29
+ rw [hq,←mapW_pr v (fun x => onSide x i) Q]
30
+ refine (pr_cap h Q).trans_eq ?_
31
+ have hh : pr (pairW w w) (fun x => Q (onSide x i)) = pr w Q := by
32
+ cases i
33
+ · change pr (pairW w w) (fun x => Q x.2)=pr w Q
34
+ simpa only [true_and, pr_true,hw.total,one_mul] using pairW_pr w w (fun _ => True) Q
35
+ change pr (pairW w w) (fun x => Q x.1)=pr w Q
36
+ simpa only [and_true,pr_true,hw.total,mul_one] using pairW_pr w w Q (fun _ => True)
37
+ rw [hh]
38
+
39
+ def basisFrom (p : Shape) {n N} (x : UnitType p n N) (i : Bool)
40
+ {q : Place p→ℕ} (Z : DTuple (p:=p) q N) :=
41
+ ∀ z,Injective (Z z).mulVec ∧ colSp (Z z) ≤ imageP p x i (flipZ p z)
42
+
43
+ def ctot (p : Shape) (r : Place p→ℕ) := ∑ i,r i
44
+ abbrev Among (p : Shape) (n : ℕ) (q : Place p→ℕ) :=
45
+ ∀ z, Mat (Row p n) (Fin (q z))
46
+ def csignal (p : Shape) {n} (i : Bool) {q : Place p → ℕ}
47
+ (S : Among p n q) : WTuple (p:=p) q n :=
48
+ fun z => IP p n i * S z
49
+
50
+ def poke (p : Shape) {n N} {q t : Place p → ℕ}
51
+ (B : WTuple (p:=p) q n) (C : WTuple (p:=p) t n)
52
+ (Z : DTuple (p:=p) q N) (A : DTuple (p:=p) t N)
53
+ (x : UnitType p n N) :=
54
+ ∀ z, images x (flipZ p z) * B z=Z z ∧ images x z * C z = A z
55
+
56
+ set_option maxHeartbeats 600000 in
57
+ theorem poke_cap (B : WTuple (p:=p) q n) (C : WTuple (p:=p) t n)
58
+ (Z : DTuple (p:=p) q N) (A : DTuple (p:=p) t N)
59
+ (m : Mixer p n) {ε : ℝ} (he : initCap p N m ε)
60
+ (hB : ∀ z, Injective (B z).mulVec)
61
+ (hC : ∀ z, Injective (C z).mulVec)
62
+ (hD : ∀ z, Disjoint (colSp (B z)) (colSp (C (flipZ p z)))) :
63
+ pr (pairW (raw m N) (raw m N)) (poke p B C Z A) ≤
64
+ fee N ε (ctot p q+ctot p t) := by
65
+ classical
66
+ let μ := raw m N
67
+ let w := pairW μ μ
68
+ have hw (x) : 0 ≤ w x := mul_nonneg (raw_nonneg m _) (raw_nonneg m _)
69
+ by_cases h : 0 < pr w (poke p B C Z A)
70
+ · obtain ⟨x,hx,_⟩ := exists_of_pr_pos hw h
71
+ let U : Plan p n := fun z => colSp (B (flipZ p z)) ⊔ colSp (C z)
72
+ let V := Pin.make U x
73
+ refine (pr_mono hw (q:=V.agree) fun y hy => ?_).trans ((he V).trans ?_)
74
+ · intro z v hv
75
+ change images y z *ᵥ v=images x z *ᵥ v
76
+ obtain ⟨l,⟨t,rfl⟩,r,⟨u,rfl⟩,rfl⟩ := Submodule.mem_sup.mp
77
+ (show v∈colSp (B (flipZ p z))⊔colSp (C z) from hv)
78
+ have h1 := (hx (flipZ p z)).1.trans (hy (flipZ p z)).1.symm
79
+ simp only [flipZ_flip] at h1
80
+ simp only [mulVecLin_apply, Matrix.mulVec_add, Matrix.mulVec_mulVec,h1,
81
+ (hx z).2,(hy z).2]
82
+ · have hF (z) : dim (U z)=q (flipZ p z)+t z := by
83
+ have hi := Submodule.finrank_sup_add_finrank_inf_eq (colSp (B (flipZ p z))) (colSp (C z))
84
+ have hy := hD (flipZ p z)
85
+ rw [flipZ_flip] at hy
86
+ rw [hy.eq_bot,finrank_bot,add_zero] at hi
87
+ exact hi.trans (congrArg₂ (·+·) ((mrk_inj.mp (hB (flipZ p z))).trans (Fintype.card_fin _))
88
+ ((mrk_inj.mp (hC z)).trans (Fintype.card_fin _)))
89
+ have ht : planRank V.sp=ctot p q+ctot p t := by
90
+ unfold planRank ctot
91
+ change ∑ z,dim (U z)= _
92
+ simp_rw [hF,Finset.sum_add_distrib]
93
+ exact congrArg (fun x => x + ∑ z,t z) (Equiv.sum_comp (flipEquiv p) q)
94
+ rw [ht]
95
+ exact (not_lt.mp h).trans (bp_pos _).le
96
+
97
+ def heatRate (p : Shape) (n N : ℕ) (ε : ℝ) (x y : ℕ) :=
98
+ bp (num (Row p n)* x+ 2*p.h*y)*fee N ε (x+y)
99
+
100
+ instance amongFintype (p : Shape) (n : ℕ) (r : Place p→ℕ) : Fintype (Among p n r) := by
101
+ classical exact inferInstanceAs (Fintype (Among p n r))
102
+
103
+ private theorem format_size :
104
+ num (Among p n q × (Bool → DTuple (p:=p) t p.h)) =
105
+ bp (num (Row p n)*ctot p q+2*p.h*ctot p t) := by
106
+ classical
107
+ unfold num
108
+ rw [card_space,dim,Module.finrank_prod, Nat.cast_add]
109
+ have he : finrank F (Among p n q)=Fintype.card (Row p n)*ctot p q := by
110
+ unfold Among
111
+ rw [finrank_pi_fintype]
112
+ unfold ctot; rw [Finset.mul_sum]
113
+ refine Finset.sum_congr rfl fun i _ => (dim_mat ..).trans (by rw [Fintype.card_fin])
114
+ have hf :
115
+ finrank F (Bool → DTuple (p:=p) t p.h)=2*p.h*ctot p t := by
116
+ rw [finrank_pi_fintype,Fintype.sum_bool]
117
+ change dim (DTuple ..)+dim (DTuple ..)=_
118
+ rw [tuple_dim]
119
+ unfold ctot; ring
120
+ rw [he,hf]
121
+ push_cast; rfl
122
+
123
+ set_option maxHeartbeats 800000 in
124
+ theorem heat_rate (i : Bool) (S : Party) (hi : S i=1)
125
+ (A : DTuple (p:=p) t N)
126
+ (B : DTuple (p:=p) t N) (Z : DTuple (p:=p) q N)
127
+ (m : Mixer p n) {ε : ℝ} (he : initCap p N m ε) :
128
+ pr (pairW (raw m N) (raw m N)) (fun x =>
129
+ basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x S A=B)
130
+ ≤ heatRate p n N ε (ctot p q) (ctot p t) := by
131
+ classical
132
+ let M := Among p n q × (Bool → DTuple (p:=p) t p.h)
133
+ let P (v : M) (x : UnitType p n N) :=
134
+ let X := csignal p i v.1
135
+ let Y := hfused p n _ v.2
136
+ (∀ z, Injective (X z).mulVec ∧ Injective (Y z).mulVec) ∧ poke p X Y Z B x
137
+ let w := pairW (raw m N) (raw m N)
138
+ have hw x : 0 ≤ w x := mul_nonneg (raw_nonneg m _) (raw_nonneg m _)
139
+ have h : ∀ x : UnitType p n N,basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x S A=B →
140
+ ∃ v, P v x := by
141
+ rintro x ⟨hF,hT,hU⟩
142
+ choose A' hA using fun z => pull_cols (fpAt p (onSide x i) (flipZ p z)) (Z z) (hF z).2
143
+ let C := sparks p x S A
144
+ let Y := hfused p n _ C
145
+ let X := csignal p i A'
146
+ have hh z : images x (flipZ p z)*X z=Z z := by
147
+ unfold X csignal
148
+ rw [← Matrix.mul_assoc, images_ip]
149
+ exact hA z
150
+ refine ⟨(A',C),fun z => ⟨?_,hotfused x S A i hi hT z⟩, fun z => ?_⟩
151
+ · have hg := (hF z).1
152
+ rw [← hh z] at hg
153
+ intro p' q he
154
+ apply hg
155
+ change X z *ᵥ p' = X z*ᵥ q at he
156
+ rw [← Matrix.mulVec_mulVec,← Matrix.mulVec_mulVec,he]
157
+ exact ⟨hh z,(fuse_val x S A z).trans (congr_fun hU z)⟩
158
+ have hg (v : M) :
159
+ pr w (P v) ≤ fee N ε (ctot p q+ctot p t) := by
160
+ let X := csignal p i v.1
161
+ let Y := hfused p n _ v.2
162
+ by_cases hh : ∀ z, Injective (X z).mulVec ∧ Injective (Y z).mulVec
163
+ · refine (pr_mono hw (p:=P v) (q:=poke p X Y Z B) fun x h => h.2).trans
164
+ (poke_cap X Y _ _ m he (fun z => (hh z).1) (fun z => (hh z).2) ?_)
165
+ intro z
166
+ exact (channels_disjoint (p:=p) (n:=n)).mono
167
+ ((col_follow ..).trans (ip_le_primal i)) (fused_support v.2 _)
168
+ have heq : P v=(fun _ => False) := funext fun x => propext (iff_false_intro (fun h => hh h.1))
169
+ rw [heq,pr_false]; exact (bp_pos _).le
170
+ refine ((pr_mono hw h).trans (pr_exists_le hw P)).trans ?_
171
+ refine (Finset.sum_le_sum fun i _ => hg i).trans_eq ?_
172
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul]
173
+ change num (Among p n q × _) *_= _
174
+ rw [format_size]; rfl
175
+
176
+ theorem heat_one (i : Bool)
177
+ (A : DTuple (p:=p) t N) (B : DTuple (p:=p) t N)
178
+ (Z : DTuple (p:=p) q N)
179
+ {w : Wgt (UnitType p n N)} {H : ℝ} (hH : 0 ≤ H)
180
+ (m : Mixer p n) {ε : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
181
+ (hw : bySide p w m H) :
182
+ pr w (fun x => basisFrom p x i Z ∧ glimpse p x i A ∧ thermal p x (unary i) A=B) ≤
183
+ H*heatRate p n N ε (ctot p q) (ctot p t) := by
184
+ refine (side_same i _ hm w (hw i) _ ?_).trans
185
+ (mul_le_mul_of_nonneg_left (heat_rate i (unary i) (by simp [unary]) A B Z m he) hH)
186
+ intro x y h
187
+ unfold basisFrom glimpse thermal imageP
188
+ simp_rw [heat_unary,h]
189
+
190
+ theorem heat_none (i : Bool) (Z : DTuple (p:=p) q N)
191
+ {w : Wgt (UnitType p n N)} {H : ℝ} (hH : 0 ≤ H)
192
+ (m : Mixer p n) {ε : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
193
+ (hw : bySide p w m H) :
194
+ pr w (fun x => basisFrom p x i Z) ≤ H*heatRate p n N ε (ctot p q) 0 := by
195
+ classical
196
+ let t : Place p→ℕ := fun _ => 0
197
+ let B : DTuple (p:=p) t N := 0
198
+ have hh := heat_one i B B Z hH m hm he hw
199
+ have h1 (x : UnitType p n N) : glimpse p x i B := fun z v v' h => Subsingleton.elim v v'
200
+ have h2 (x : UnitType p n N) : thermal p x (unary i) B=B := Subsingleton.elim _ _
201
+ simp_rw [h1,h2,and_true] at hh
202
+ simpa only [ctot,t,Finset.sum_const_zero] using hh
203
+
204
+ end HadwigerCounterexample
205
+
206
+ end
207
+
208
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProductCharacterTests.lean CHANGED
@@ -1,135 +1,135 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ConditionedCorrelations
2
-
3
- namespace OAI
4
-
5
- /-! # Product Character Tests -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Filter Function
10
- open scoped BigOperators
11
- variable {I J A Z D : Type} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
12
- variable [Fintype A]
13
-
14
- def Pipe (P : A→Z→ ℝ) :=
15
- ∃ (f : A→ℝ) (g : Z→ℝ),(∀ i, |f i|≤1) ∧ (∀ i, |g i|≤1) ∧ ∀ x y,P x y=f x*g y
16
-
17
- omit [Fintype I] [Fintype A] in
18
- private theorem pipe_prod (s : Finset I) (P : I → A→Z→ℝ)
19
- (h : ∀ i∈s,Pipe (P i)) :
20
- Pipe (fun x y => ∏ i∈s,P i x y) := by
21
- classical
22
- induction s using Finset.induction_on with
23
- | empty =>
24
- exact ⟨fun _ =>1,fun _=>1,(by simp),(by simp),fun _ _=>by simp⟩
25
- | @insert i s hi ih =>
26
- obtain ⟨f,g,hf,hg,hH⟩ := h i (by simp)
27
- obtain ⟨u,v,hu,hv,hU⟩ := ih (fun j hj => h j (mem_insert_of_mem hj))
28
- have he (f g : ℝ) (hf : |f|≤1) (hg : |g|≤1) :
29
- |f*g|≤1 := by rw [abs_mul]; exact (mul_le_mul hf hg (abs_nonneg _) zero_le_one).trans_eq
30
- (by ring)
31
- exact ⟨fun x => f x*u x,fun x => g x*v x,(fun x=>he _ _ (hf x) (hu x)),
32
- (fun x => he _ _ (hg x) (hv x)),fun x y => by dsimp only at *; rw [prod_insert hi,hH,hU]; ring⟩
33
-
34
- structure Stage (I J : Type) where
35
- first : J→I
36
- nextP : J→I
37
- diff k : first k ≠ nextP k
38
- once k j : first k=first j → nextP k=nextP j → k=j
39
- anti k j : first k=nextP j → nextP k≠first j
40
-
41
- variable (s : Stage I J)
42
-
43
- set_option maxHeartbeats 600000 in
44
- theorem far_avg (w : I→Wgt A) (hw : ∀ i,IsLaw (w i)) (F : Wgt (I→A)) (i j : I)
45
- (_ : i ≠ j) :
46
- let U := prodW w
47
- avg U F = avg U (fun x => avg (pairW (w i) (w j)) (fun y => F (update (update x i y.1) j y.2))) := by
48
- classical
49
- intro U
50
- rw [update_avg w j F (hw j),update_avg w i _ (hw i)]
51
- simp only [U,pairW_avg]
52
- private def moveInputs (i j : I) (x : I→A) (p q : A) := update (update x i p) j q
53
-
54
- set_option maxHeartbeats 800000 in
55
- theorem band_res (w : I→ Wgt A) (hw : ∀ i,IsLaw (w i))
56
- (f : I→ Wgt A) (hf : ∀ i x,|f i x|≤1)
57
- (u : J→ A→ A→ℝ) (hu : ∀ k x y,|u k x y|≤1)
58
- (k : J) (η : ℝ)
59
- (h : ∀ p q : Wgt A,(∀ i, |p i|≤1)→(∀ i,|q i|≤1) →
60
- |avg (pairW (w (s.first k)) (w (s.nextP k))) (fun x =>
61
- u k x.1 x.2 * (p x.1*q x.2))|≤η) :
62
- |avg (prodW w) (fun x => (∏ j:J,u j (x (s.first j)) (x (s.nextP j)))*prodW f x)|≤η := by
63
- classical
64
- let i:=s.first k; let j:=s.nextP k
65
- have hj : i≠ j := s.diff k
66
- let W (x : I→ A) := (∏ j':J,u j' (x (s.first j')) (x (s.nextP j')))*prodW f x
67
- have hi (z : I→A) :
68
- |avg (pairW (w i) (w j)) (fun x => W (moveInputs i j z x.1 x.2))|≤ η := by
69
- let C a b := moveInputs i j z a b
70
- let g (v : J⊕I) (a b : A) :=
71
- match v with
72
- | .inl t => if t=k then 1 else u t (C a b (s.first t)) (C a b (s.nextP t))
73
- | .inr t => f t (C a b t)
74
- have he a b :
75
- W (C a b)=u k a b * ∏ l:J ⊕ I,g l a b := by
76
- unfold W prodW; rw [Fintype.prod_sum_type]
77
- rw [← mul_prod_erase _ _ (mem_univ k),←mul_prod_erase _
78
- (fun t:J=>g (.inl t) a b) (mem_univ k)]
79
- have he (t:J) (h : t∈univ.erase k) :
80
- g (Sum.inl t) a b=u t (C a b (s.first t)) (C a b (s.nextP t)) :=
81
- ite_eq_right (mem_erase.mp h).1
82
- rw [Finset.prod_congr rfl (g:=fun t:J => u t (C a b (s.first t)) (C a b (s.nextP t))) he]
83
- change (u k (C a b i) (C a b j)*_) *_=_
84
- rw [show C a b i=a from (by simp [C,moveInputs,hj]),
85
- show C a b j=b from (by simp [C,moveInputs]),show g (.inl k) a b=1 from
86
- (by simp [g]),one_mul,mul_assoc]
87
- let d := z i
88
- have hp : ∀ x:J ⊕ I,Pipe (g x) := by
89
- have he (t : I) (h : t ≠ j) (a b : A) : C a b t=C a d t := by
90
- unfold C moveInputs; rw [update_of_ne h,update_of_ne h]
91
- have hu' (t : I) (h : t ≠ i) (a b : A) : C a b t=C d b t := by
92
- unfold C moveInputs
93
- by_cases hx : t=j <;> simp [hx,h]
94
- have h1 (x:J⊕I) (h : ∀ a b,|g x a b|≤1)
95
- (e : (∀ a b,g x a b=g x a d)∨(∀ a b,g x a b=g x d b)) :
96
- Pipe (g x) := by
97
- rcases e with e|e
98
- · exact ⟨fun a=>g x a d,fun _=>1,fun i=>h _ _,(by simp),fun i j=> (e i j).trans
99
- (by rw [mul_one])⟩
100
- exact ⟨fun _=>1,g x d,(by simp),h d,fun i j=> (e i j).trans (by rw [one_mul])⟩
101
- rintro (l|l)
102
- · by_cases hh : l=k
103
- · subst l; exact h1 (Sum.inl k) (by simp [g]) (Or.inl (by simp [g]))
104
- apply h1 (Sum.inl l) (fun a b => by simp only [g,ite_eq_right hh]; exact hu _ _ _)
105
- have hh1 :
106
- (s.first l≠j∧s.nextP l≠j) ∨(s.first l≠i∧s.nextP l≠i) := by
107
- by_contra! ha
108
- by_cases hx : s.first l=j
109
- · have hy : s.first l≠i := hx ▸ Ne.symm hj
110
- exact s.anti l k hx (ha.2 hy)
111
- have ht := ha.1 hx
112
- have hs : s.first l=i := by_contra (fun h=>hj ((ha.2 h).symm.trans ht))
113
- exact hh (s.once l k hs ht)
114
- simp only [g,ite_eq_right hh]; rcases hh1 with ⟨h,h'⟩|⟨h,h'⟩
115
- · left; intro a b; rw [he _ h,he _ h']
116
- right; intro a b; rw [hu' _ h,hu' _ h']
117
- apply h1 (Sum.inr l) (fun a b => hf _ _)
118
- unfold g
119
- by_cases h : l=i
120
- · exact Or.inl fun a b => congrArg _ (he _ (h.symm ▸ hj) _ _)
121
- exact Or.inr fun a b=> congrArg _ (hu' l h a b)
122
- obtain ⟨p,q,hp,hq,ht⟩ := pipe_prod univ g (fun i _ => hp i)
123
- have heq (x : A×A) : W (moveInputs i j z x.1 x.2)=u k x.1 x.2*(p x.1*q x.2) := by
124
- change W (C _ _)=_
125
- rw [he]; exact congrArg (_ * ·) (ht x.1 x.2)
126
- simp_rw [heq]
127
- exact h p q hp hq
128
- change |avg _ W|≤η
129
- rw [far_avg w hw W i j hj]
130
- exact (abs_avg_le (prodW_law hw).nz).trans ((prodW_law hw).avg_le hi)
131
- end HadwigerCounterexample
132
-
133
- end
134
-
135
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ConditionedCorrelations
2
+
3
+ namespace OAI
4
+
5
+ /-! # Product Character Tests -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Filter Function
10
+ open scoped BigOperators
11
+ variable {I J A Z D : Type} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
12
+ variable [Fintype A]
13
+
14
+ def Pipe (P : A→Z→ ℝ) :=
15
+ ∃ (f : A→ℝ) (g : Z→ℝ),(∀ i, |f i|≤1) ∧ (∀ i, |g i|≤1) ∧ ∀ x y,P x y=f x*g y
16
+
17
+ omit [Fintype I] [Fintype A] in
18
+ private theorem pipe_prod (s : Finset I) (P : I → A→Z→ℝ)
19
+ (h : ∀ i∈s,Pipe (P i)) :
20
+ Pipe (fun x y => ∏ i∈s,P i x y) := by
21
+ classical
22
+ induction s using Finset.induction_on with
23
+ | empty =>
24
+ exact ⟨fun _ =>1,fun _=>1,(by simp),(by simp),fun _ _=>by simp⟩
25
+ | @insert i s hi ih =>
26
+ obtain ⟨f,g,hf,hg,hH⟩ := h i (by simp)
27
+ obtain ⟨u,v,hu,hv,hU⟩ := ih (fun j hj => h j (mem_insert_of_mem hj))
28
+ have he (f g : ℝ) (hf : |f|≤1) (hg : |g|≤1) :
29
+ |f*g|≤1 := by rw [abs_mul]; exact (mul_le_mul hf hg (abs_nonneg _) zero_le_one).trans_eq
30
+ (by ring)
31
+ exact ⟨fun x => f x*u x,fun x => g x*v x,(fun x=>he _ _ (hf x) (hu x)),
32
+ (fun x => he _ _ (hg x) (hv x)),fun x y => by dsimp only at *; rw [prod_insert hi,hH,hU]; ring⟩
33
+
34
+ structure Stage (I J : Type) where
35
+ first : J→I
36
+ nextP : J→I
37
+ diff k : first k ≠ nextP k
38
+ once k j : first k=first j → nextP k=nextP j → k=j
39
+ anti k j : first k=nextP j → nextP k≠first j
40
+
41
+ variable (s : Stage I J)
42
+
43
+ set_option maxHeartbeats 600000 in
44
+ theorem far_avg (w : I→Wgt A) (hw : ∀ i,IsLaw (w i)) (F : Wgt (I→A)) (i j : I)
45
+ (_ : i ≠ j) :
46
+ let U := prodW w
47
+ avg U F = avg U (fun x => avg (pairW (w i) (w j)) (fun y => F (update (update x i y.1) j y.2))) := by
48
+ classical
49
+ intro U
50
+ rw [update_avg w j F (hw j),update_avg w i _ (hw i)]
51
+ simp only [U,pairW_avg]
52
+ private def moveInputs (i j : I) (x : I→A) (p q : A) := update (update x i p) j q
53
+
54
+ set_option maxHeartbeats 800000 in
55
+ theorem band_res (w : I→ Wgt A) (hw : ∀ i,IsLaw (w i))
56
+ (f : I→ Wgt A) (hf : ∀ i x,|f i x|≤1)
57
+ (u : J→ A→ A→ℝ) (hu : ∀ k x y,|u k x y|≤1)
58
+ (k : J) (η : ℝ)
59
+ (h : ∀ p q : Wgt A,(∀ i, |p i|≤1)→(∀ i,|q i|≤1) →
60
+ |avg (pairW (w (s.first k)) (w (s.nextP k))) (fun x =>
61
+ u k x.1 x.2 * (p x.1*q x.2))|≤η) :
62
+ |avg (prodW w) (fun x => (∏ j:J,u j (x (s.first j)) (x (s.nextP j)))*prodW f x)|≤η := by
63
+ classical
64
+ let i:=s.first k; let j:=s.nextP k
65
+ have hj : i≠ j := s.diff k
66
+ let W (x : I→ A) := (∏ j':J,u j' (x (s.first j')) (x (s.nextP j')))*prodW f x
67
+ have hi (z : I→A) :
68
+ |avg (pairW (w i) (w j)) (fun x => W (moveInputs i j z x.1 x.2))|≤ η := by
69
+ let C a b := moveInputs i j z a b
70
+ let g (v : J⊕I) (a b : A) :=
71
+ match v with
72
+ | .inl t => if t=k then 1 else u t (C a b (s.first t)) (C a b (s.nextP t))
73
+ | .inr t => f t (C a b t)
74
+ have he a b :
75
+ W (C a b)=u k a b * ∏ l:J ⊕ I,g l a b := by
76
+ unfold W prodW; rw [Fintype.prod_sum_type]
77
+ rw [← mul_prod_erase _ _ (mem_univ k),←mul_prod_erase _
78
+ (fun t:J=>g (.inl t) a b) (mem_univ k)]
79
+ have he (t:J) (h : t∈univ.erase k) :
80
+ g (Sum.inl t) a b=u t (C a b (s.first t)) (C a b (s.nextP t)) :=
81
+ ite_eq_right (mem_erase.mp h).1
82
+ rw [Finset.prod_congr rfl (g:=fun t:J => u t (C a b (s.first t)) (C a b (s.nextP t))) he]
83
+ change (u k (C a b i) (C a b j)*_) *_=_
84
+ rw [show C a b i=a from (by simp [C,moveInputs,hj]),
85
+ show C a b j=b from (by simp [C,moveInputs]),show g (.inl k) a b=1 from
86
+ (by simp [g]),one_mul,mul_assoc]
87
+ let d := z i
88
+ have hp : ∀ x:J ⊕ I,Pipe (g x) := by
89
+ have he (t : I) (h : t ≠ j) (a b : A) : C a b t=C a d t := by
90
+ unfold C moveInputs; rw [update_of_ne h,update_of_ne h]
91
+ have hu' (t : I) (h : t ≠ i) (a b : A) : C a b t=C d b t := by
92
+ unfold C moveInputs
93
+ by_cases hx : t=j <;> simp [hx,h]
94
+ have h1 (x:J⊕I) (h : ∀ a b,|g x a b|≤1)
95
+ (e : (∀ a b,g x a b=g x a d)∨(∀ a b,g x a b=g x d b)) :
96
+ Pipe (g x) := by
97
+ rcases e with e|e
98
+ · exact ⟨fun a=>g x a d,fun _=>1,fun i=>h _ _,(by simp),fun i j=> (e i j).trans
99
+ (by rw [mul_one])⟩
100
+ exact ⟨fun _=>1,g x d,(by simp),h d,fun i j=> (e i j).trans (by rw [one_mul])⟩
101
+ rintro (l|l)
102
+ · by_cases hh : l=k
103
+ · subst l; exact h1 (Sum.inl k) (by simp [g]) (Or.inl (by simp [g]))
104
+ apply h1 (Sum.inl l) (fun a b => by simp only [g,ite_eq_right hh]; exact hu _ _ _)
105
+ have hh1 :
106
+ (s.first l≠j∧s.nextP l≠j) ∨(s.first l≠i∧s.nextP l≠i) := by
107
+ by_contra! ha
108
+ by_cases hx : s.first l=j
109
+ · have hy : s.first l≠i := hx ▸ Ne.symm hj
110
+ exact s.anti l k hx (ha.2 hy)
111
+ have ht := ha.1 hx
112
+ have hs : s.first l=i := by_contra (fun h=>hj ((ha.2 h).symm.trans ht))
113
+ exact hh (s.once l k hs ht)
114
+ simp only [g,ite_eq_right hh]; rcases hh1 with ⟨h,h'⟩|⟨h,h'⟩
115
+ · left; intro a b; rw [he _ h,he _ h']
116
+ right; intro a b; rw [hu' _ h,hu' _ h']
117
+ apply h1 (Sum.inr l) (fun a b => hf _ _)
118
+ unfold g
119
+ by_cases h : l=i
120
+ · exact Or.inl fun a b => congrArg _ (he _ (h.symm ▸ hj) _ _)
121
+ exact Or.inr fun a b=> congrArg _ (hu' l h a b)
122
+ obtain ⟨p,q,hp,hq,ht⟩ := pipe_prod univ g (fun i _ => hp i)
123
+ have heq (x : A×A) : W (moveInputs i j z x.1 x.2)=u k x.1 x.2*(p x.1*q x.2) := by
124
+ change W (C _ _)=_
125
+ rw [he]; exact congrArg (_ * ·) (ht x.1 x.2)
126
+ simp_rw [heq]
127
+ exact h p q hp hq
128
+ change |avg _ W|≤η
129
+ rw [far_avg w hw W i j hj]
130
+ exact (abs_avg_le (prodW_law hw).nz).trans ((prodW_law hw).avg_le hi)
131
+ end HadwigerCounterexample
132
+
133
+ end
134
+
135
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProductComparisonScales.lean CHANGED
@@ -1,130 +1,130 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RecursiveComparisonErrors
2
-
3
- namespace OAI
4
-
5
- /-! # Product Comparison Scales -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module Function Finset Filter
10
- open scoped BigOperators
11
- variable {p : Shape} {n N M : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
- namespace Template
13
- variable (v : Template p I)
14
-
15
- def play (v : Template p I) (M : ℕ) (C b ε : ℝ) :=
16
- ∃ (r : ℕ) (c : ℝ),0<c ∧ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ (q : I→F)
17
- (U : Wgt (Keys (p:=p) v.t N)), (∀ i, |U i|≤ b) →
18
- ∃ T,design v T b r∧ shadowed v q (U-T) ε ∧ engaged v q (U-T) n C (bp (-c*n)) ε
19
-
20
- theorem play_empty (v : Template p I) (M : ℕ) (C b ε : ℝ) [IsEmpty I]
21
- (hε : 0≤ε) :
22
- play v M C b ε := by
23
- classical
24
- refine ⟨1,1,zero_lt_one,.of_forall (fun n => ?_)⟩
25
- intro N q U hU
26
- let i : Keys (p:=p) v.t N := 0
27
- refine ⟨U, ⟨fun _ => ⟨U i,fun _ _=> True⟩,?_,fun _=>hU _⟩,fun f h=>?_,
28
- fun m hN w hw s x h hh =>?_⟩
29
- · funext x
30
- simp only [mural,Paint.cost,prodW,ind_true,prod_const_one,mul_one,sum_const,
31
- card_univ,Fintype.card_fin,one_smul]
32
- exact congrArg U (Subsingleton.elim x i)
33
- · simp only [board,sub_self,curtain,Pi.zero_apply,mul_zero,zero_mul,avg_zero,abs_zero]
34
- exact hε
35
- · have ht o : ¬ exceeds v q (U-U) s m x ε o := by
36
- rintro ⟨f,_,hh⟩
37
- simp only [scene,protean,curtain,sub_self,Pi.zero_apply,mul_zero,zero_mul,avg_zero,
38
- abs_zero] at hh
39
- exact (not_lt_of_ge hε) hh
40
- rw [show exceeds _ _ _ _ _ _ _=(fun _=>False) from funext fun i=>propext ⟨ht i,False.elim⟩,
41
- pr_false]; exact (bp_pos _).le
42
-
43
- set_option maxHeartbeats 1200000 in
44
- theorem play_step (v : Template p I) (j : I) (M : ℕ) (hM : 1≤ M) (C b ε : ℝ)
45
- (hb : 0≤b) (hε : 0<ε)
46
- (h : play (v.beyond j) M C b (ε/2)) :
47
- play v M C b ε := by
48
- classical
49
- let u:= ε/2; let L:=1+2*b; have hu : 0<u := by positivity
50
- have hL : 0<L := by positivity
51
- obtain ⟨δ,hδ,hh⟩ := shade_calendar v j M hM C (u/L) (by positivity)
52
- let d := min δ (u/L)
53
- have hd : 0<d := lt_min hδ (by positivity)
54
- obtain ⟨s,hs⟩ := shattered v j b L d hL hb (by unfold L; linarith) hd
55
- obtain ⟨r,c,hc,h⟩ := h
56
- let t := min (1/16:ℝ) c
57
- have ht : 0<t := lt_min (by norm_num) hc
58
- refine ⟨s*r,t/2,by linarith,?_⟩
59
- filter_upwards [hh,h,pay_nat (a:=t) (b:=t/2) ((s:ℝ)+1) (by linarith)]
60
- with n hn h ha N q U hU
61
- obtain ⟨l,hl,a,B,hb',hs,hQ,hW⟩ := hs N q U hU
62
- let V:= patched v j a B
63
- let W := U-V
64
- let R i := curtain v q W i/L
65
- let T:=v.beyond j
66
- let Q:= v.boundTail j q
67
- choose g h1 h2 h3 using fun i=> h Q (B i) (hb' i)
68
- let D := patched v j a g
69
- have hT : shadowed v q W u := by
70
- have he := chair_board v j q W L d hL hQ
71
- have hm : d*L ≤ u := (le_div_iff₀ hL).mp (min_le_right ..)
72
- exact fun i hi => (he i hi).trans hm
73
- have hx : engaged v q W n C (bp (-(1/16:ℝ)*n)) u := by
74
- intro m hN w hw s x hx hz
75
- have he : chairCut v j R δ :=
76
- fun i hi k hk=> (hQ i hi k hk).trans (min_le_left ..)
77
- have hg (x) : |propel v s m x|≤1 := by
78
- unfold propel; rw [abs_of_nonneg (ind_nonneg _)]
79
- exact ind_le_one _
80
- obtain ⟨hw,hv,h',hm'⟩ := hw
81
- have h4 := hn q R (propel v s m) x hs he hW hg hx hz m hN w hw hv h' hm'
82
- refine (pr_mono hw.nz (fun i hh => ?_)).trans h4
83
- obtain ⟨f,hf,hg⟩ := hh
84
- refine ⟨f,hf,?_⟩
85
- unfold R
86
- rw [put_back v q W L,abs_div,abs_of_pos hL]
87
- exact div_lt_div_of_pos_right hg hL
88
- have hg := gild_play v j q n N l a B g U C u _ _ hT hx h2 h3
89
- have heq : u+u=ε := by unfold u; ring
90
- dsimp only at hg
91
- rw [heq] at hg
92
- refine ⟨D,design_mono v D b _ (s*r) hb (Nat.mul_le_mul_right r hl)
93
- (design_patch v j l r a g b h1),hg.1,?_⟩
94
- intro m hN w hw s' x hx hz
95
- apply (hg.2 m hN w hw s' x hx hz).trans
96
- apply le_trans ?_ ha
97
- let z := bp (-t*n)
98
- have h1 : bp (-c*n)≤ z := bp_le (by gcongr; exact min_le_right ..)
99
- have h2 : bp (-(1/16:ℝ)*n)≤ z := bp_le (by gcongr; exact min_le_left ..)
100
- exact (add_le_add h2 (mul_le_mul (by exact_mod_cast hl) h1 (bp_pos _).le
101
- (Nat.cast_nonneg s))).trans_eq (by ring)
102
-
103
- theorem plays_calendar (p : Shape) (M : ℕ) (hM : 1≤M) (C b : ℝ) (hb : 0 ≤ b)
104
- (r : ℕ) :
105
- ∀ (I : Type) [Fintype I] [DecidableEq I],Fintype.card I≤r →
106
- ∀ v : Template p I,∀ ε : ℝ,0< ε→play v M C b ε := by
107
- classical
108
- induction r with
109
- | zero =>
110
- intro I inst h hi v ε he
111
- have : IsEmpty I := Fintype.card_eq_zero_iff.mp (Nat.eq_zero_of_le_zero hi)
112
- exact play_empty v M C b ε he.le
113
- | succ r ih =>
114
- intro I _ _ h v ε he
115
- cases isEmpty_or_nonempty I
116
- next => exact play_empty v M C b ε he.le
117
- next hi =>
118
- obtain ⟨i⟩:=hi
119
- apply play_step v i M hM C b ε hb he
120
- refine ih _ ?_ _ _ (half_pos he)
121
- have hh : Fintype.card (Aside i)+1=Fintype.card I := by
122
- have hg := Fintype.card_congr (Equiv.optionSubtypeNe i)
123
- simpa only [Aside,Fintype.card_option] using hg
124
- omega
125
- end Template
126
- end HadwigerCounterexample
127
-
128
- end
129
-
130
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RecursiveComparisonErrors
2
+
3
+ namespace OAI
4
+
5
+ /-! # Product Comparison Scales -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module Function Finset Filter
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N M : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
+ namespace Template
13
+ variable (v : Template p I)
14
+
15
+ def play (v : Template p I) (M : ℕ) (C b ε : ℝ) :=
16
+ ∃ (r : ℕ) (c : ℝ),0<c ∧ ∀ᶠ n : ℕ in atTop, let N:=M*n; ∀ (q : I→F)
17
+ (U : Wgt (Keys (p:=p) v.t N)), (∀ i, |U i|≤ b) →
18
+ ∃ T,design v T b r∧ shadowed v q (U-T) ε ∧ engaged v q (U-T) n C (bp (-c*n)) ε
19
+
20
+ theorem play_empty (v : Template p I) (M : ℕ) (C b ε : ℝ) [IsEmpty I]
21
+ (hε : 0≤ε) :
22
+ play v M C b ε := by
23
+ classical
24
+ refine ⟨1,1,zero_lt_one,.of_forall (fun n => ?_)⟩
25
+ intro N q U hU
26
+ let i : Keys (p:=p) v.t N := 0
27
+ refine ⟨U, ⟨fun _ => ⟨U i,fun _ _=> True⟩,?_,fun _=>hU _⟩,fun f h=>?_,
28
+ fun m hN w hw s x h hh =>?_⟩
29
+ · funext x
30
+ simp only [mural,Paint.cost,prodW,ind_true,prod_const_one,mul_one,sum_const,
31
+ card_univ,Fintype.card_fin,one_smul]
32
+ exact congrArg U (Subsingleton.elim x i)
33
+ · simp only [board,sub_self,curtain,Pi.zero_apply,mul_zero,zero_mul,avg_zero,abs_zero]
34
+ exact hε
35
+ · have ht o : ¬ exceeds v q (U-U) s m x ε o := by
36
+ rintro ⟨f,_,hh⟩
37
+ simp only [scene,protean,curtain,sub_self,Pi.zero_apply,mul_zero,zero_mul,avg_zero,
38
+ abs_zero] at hh
39
+ exact (not_lt_of_ge hε) hh
40
+ rw [show exceeds _ _ _ _ _ _ _=(fun _=>False) from funext fun i=>propext ⟨ht i,False.elim⟩,
41
+ pr_false]; exact (bp_pos _).le
42
+
43
+ set_option maxHeartbeats 1200000 in
44
+ theorem play_step (v : Template p I) (j : I) (M : ℕ) (hM : 1≤ M) (C b ε : ℝ)
45
+ (hb : 0≤b) (hε : 0<ε)
46
+ (h : play (v.beyond j) M C b (ε/2)) :
47
+ play v M C b ε := by
48
+ classical
49
+ let u:= ε/2; let L:=1+2*b; have hu : 0<u := by positivity
50
+ have hL : 0<L := by positivity
51
+ obtain ⟨δ,hδ,hh⟩ := shade_calendar v j M hM C (u/L) (by positivity)
52
+ let d := min δ (u/L)
53
+ have hd : 0<d := lt_min hδ (by positivity)
54
+ obtain ⟨s,hs⟩ := shattered v j b L d hL hb (by unfold L; linarith) hd
55
+ obtain ⟨r,c,hc,h⟩ := h
56
+ let t := min (1/16:ℝ) c
57
+ have ht : 0<t := lt_min (by norm_num) hc
58
+ refine ⟨s*r,t/2,by linarith,?_⟩
59
+ filter_upwards [hh,h,pay_nat (a:=t) (b:=t/2) ((s:ℝ)+1) (by linarith)]
60
+ with n hn h ha N q U hU
61
+ obtain ⟨l,hl,a,B,hb',hs,hQ,hW⟩ := hs N q U hU
62
+ let V:= patched v j a B
63
+ let W := U-V
64
+ let R i := curtain v q W i/L
65
+ let T:=v.beyond j
66
+ let Q:= v.boundTail j q
67
+ choose g h1 h2 h3 using fun i=> h Q (B i) (hb' i)
68
+ let D := patched v j a g
69
+ have hT : shadowed v q W u := by
70
+ have he := chair_board v j q W L d hL hQ
71
+ have hm : d*L ≤ u := (le_div_iff₀ hL).mp (min_le_right ..)
72
+ exact fun i hi => (he i hi).trans hm
73
+ have hx : engaged v q W n C (bp (-(1/16:ℝ)*n)) u := by
74
+ intro m hN w hw s x hx hz
75
+ have he : chairCut v j R δ :=
76
+ fun i hi k hk=> (hQ i hi k hk).trans (min_le_left ..)
77
+ have hg (x) : |propel v s m x|≤1 := by
78
+ unfold propel; rw [abs_of_nonneg (ind_nonneg _)]
79
+ exact ind_le_one _
80
+ obtain ⟨hw,hv,h',hm'⟩ := hw
81
+ have h4 := hn q R (propel v s m) x hs he hW hg hx hz m hN w hw hv h' hm'
82
+ refine (pr_mono hw.nz (fun i hh => ?_)).trans h4
83
+ obtain ⟨f,hf,hg⟩ := hh
84
+ refine ⟨f,hf,?_⟩
85
+ unfold R
86
+ rw [put_back v q W L,abs_div,abs_of_pos hL]
87
+ exact div_lt_div_of_pos_right hg hL
88
+ have hg := gild_play v j q n N l a B g U C u _ _ hT hx h2 h3
89
+ have heq : u+u=ε := by unfold u; ring
90
+ dsimp only at hg
91
+ rw [heq] at hg
92
+ refine ⟨D,design_mono v D b _ (s*r) hb (Nat.mul_le_mul_right r hl)
93
+ (design_patch v j l r a g b h1),hg.1,?_⟩
94
+ intro m hN w hw s' x hx hz
95
+ apply (hg.2 m hN w hw s' x hx hz).trans
96
+ apply le_trans ?_ ha
97
+ let z := bp (-t*n)
98
+ have h1 : bp (-c*n)≤ z := bp_le (by gcongr; exact min_le_right ..)
99
+ have h2 : bp (-(1/16:ℝ)*n)≤ z := bp_le (by gcongr; exact min_le_left ..)
100
+ exact (add_le_add h2 (mul_le_mul (by exact_mod_cast hl) h1 (bp_pos _).le
101
+ (Nat.cast_nonneg s))).trans_eq (by ring)
102
+
103
+ theorem plays_calendar (p : Shape) (M : ℕ) (hM : 1≤M) (C b : ℝ) (hb : 0 ≤ b)
104
+ (r : ℕ) :
105
+ ∀ (I : Type) [Fintype I] [DecidableEq I],Fintype.card I≤r →
106
+ ∀ v : Template p I,∀ ε : ℝ,0< ε→play v M C b ε := by
107
+ classical
108
+ induction r with
109
+ | zero =>
110
+ intro I inst h hi v ε he
111
+ have : IsEmpty I := Fintype.card_eq_zero_iff.mp (Nat.eq_zero_of_le_zero hi)
112
+ exact play_empty v M C b ε he.le
113
+ | succ r ih =>
114
+ intro I _ _ h v ε he
115
+ cases isEmpty_or_nonempty I
116
+ next => exact play_empty v M C b ε he.le
117
+ next hi =>
118
+ obtain ⟨i⟩:=hi
119
+ apply play_step v i M hM C b ε hb he
120
+ refine ih _ ?_ _ _ (half_pos he)
121
+ have hh : Fintype.card (Aside i)+1=Fintype.card I := by
122
+ have hg := Fintype.card_congr (Equiv.optionSubtypeNe i)
123
+ simpa only [Aside,Fintype.card_option] using hg
124
+ omega
125
+ end Template
126
+ end HadwigerCounterexample
127
+
128
+ end
129
+
130
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProductCoordinateReplacement.lean CHANGED
@@ -1,58 +1,58 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PairedRankBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Product Coordinate Replacement -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Function
10
- open scoped BigOperators
11
- variable {I J K : Type} {A : Type} [Fintype I] [DecidableEq I] [Fintype A]
12
-
13
- set_option maxHeartbeats 600000 in
14
- theorem update_avg (p : I→ Wgt A) (i : I) (f : Wgt (I→A)) (hp : IsLaw (p i)) :
15
- avg (prodW p) f = avg (prodW p) (fun x => avg (p i) (fun y => f (update x i y))) := by
16
- classical
17
-
18
- let e : ((I→A)×A)≃ ((I→A)×A) := {
19
- toFun x := (update x.1 i x.2,x.1 i)
20
- invFun x := (update x.1 i x.2,x.1 i)
21
- left_inv x := by simp
22
- right_inv x := by simp }
23
- let μ := pairW (prodW p) (p i)
24
- have he (x : (I→A)×A) : μ (e x)=μ x := by
25
- unfold μ pairW prodW
26
- let s := Finset.univ.erase i
27
- rw [←Finset.mul_prod_erase _ _ (mem_univ i),←Finset.mul_prod_erase _
28
- (fun i => p i (x.1 i)) (mem_univ i)]
29
- have h :
30
- ∏ j∈s,p j (update x.1 i x.2 j)=∏ j∈s,p j (x.1 j) := by
31
- refine prod_congr rfl fun j hj => ?_
32
- rw [update_of_ne ((mem_erase.mp hj).1)]
33
- change p i _ * (∏ j∈s,p j (update x.1 i x.2 j))*p i (x.1 i)=_
34
- rw [h]
35
- change p i (Function.update x.1 i (x.2) i) * _ * _=_
36
- rw [Function.update_self]; ac_rfl
37
- have ht := avg_bij e μ (fun x => f x.1)
38
- simp_rw [he] at ht
39
- unfold μ at ht; simp only [pairW_avg,hp.avg_const] at ht
40
- exact ht.symm
41
-
42
- theorem update2_avg (p q : I→Wgt A) (i : I) (f : Wgt ((I→A)×(I→A))) (hp : IsLaw (p i))
43
- (hq : IsLaw (q i)) :
44
- let u := pairW (prodW p) (prodW q)
45
- avg u f = avg u (fun x => avg (pairW (p i) (q i))
46
- (fun y => f (update x.1 i y.1,update x.2 i y.2))) := by
47
- intro u
48
- simp only [u,pairW_avg]
49
- conv_lhs => rw [update_avg p i _ hp]
50
- apply avg_congr; intro x _
51
-
52
- conv_rhs => rw [avg_avg]
53
- exact avg_congr (fun _ _ => update_avg q i _ hq)
54
- end HadwigerCounterexample
55
-
56
- end
57
-
58
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PairedRankBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Product Coordinate Replacement -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Function
10
+ open scoped BigOperators
11
+ variable {I J K : Type} {A : Type} [Fintype I] [DecidableEq I] [Fintype A]
12
+
13
+ set_option maxHeartbeats 600000 in
14
+ theorem update_avg (p : I→ Wgt A) (i : I) (f : Wgt (I→A)) (hp : IsLaw (p i)) :
15
+ avg (prodW p) f = avg (prodW p) (fun x => avg (p i) (fun y => f (update x i y))) := by
16
+ classical
17
+
18
+ let e : ((I→A)×A)≃ ((I→A)×A) := {
19
+ toFun x := (update x.1 i x.2,x.1 i)
20
+ invFun x := (update x.1 i x.2,x.1 i)
21
+ left_inv x := by simp
22
+ right_inv x := by simp }
23
+ let μ := pairW (prodW p) (p i)
24
+ have he (x : (I→A)×A) : μ (e x)=μ x := by
25
+ unfold μ pairW prodW
26
+ let s := Finset.univ.erase i
27
+ rw [←Finset.mul_prod_erase _ _ (mem_univ i),←Finset.mul_prod_erase _
28
+ (fun i => p i (x.1 i)) (mem_univ i)]
29
+ have h :
30
+ ∏ j∈s,p j (update x.1 i x.2 j)=∏ j∈s,p j (x.1 j) := by
31
+ refine prod_congr rfl fun j hj => ?_
32
+ rw [update_of_ne ((mem_erase.mp hj).1)]
33
+ change p i _ * (∏ j∈s,p j (update x.1 i x.2 j))*p i (x.1 i)=_
34
+ rw [h]
35
+ change p i (Function.update x.1 i (x.2) i) * _ * _=_
36
+ rw [Function.update_self]; ac_rfl
37
+ have ht := avg_bij e μ (fun x => f x.1)
38
+ simp_rw [he] at ht
39
+ unfold μ at ht; simp only [pairW_avg,hp.avg_const] at ht
40
+ exact ht.symm
41
+
42
+ theorem update2_avg (p q : I→Wgt A) (i : I) (f : Wgt ((I→A)×(I→A))) (hp : IsLaw (p i))
43
+ (hq : IsLaw (q i)) :
44
+ let u := pairW (prodW p) (prodW q)
45
+ avg u f = avg u (fun x => avg (pairW (p i) (q i))
46
+ (fun y => f (update x.1 i y.1,update x.2 i y.2))) := by
47
+ intro u
48
+ simp only [u,pairW_avg]
49
+ conv_lhs => rw [update_avg p i _ hp]
50
+ apply avg_congr; intro x _
51
+
52
+ conv_rhs => rw [avg_avg]
53
+ exact avg_congr (fun _ _ => update_avg q i _ hq)
54
+ end HadwigerCounterexample
55
+
56
+ end
57
+
58
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProductLaws.lean CHANGED
@@ -1,119 +1,119 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteLaws
2
- import Mathlib.Data.Fintype.Pi
3
- import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
4
-
5
- namespace OAI
6
-
7
- /-! # Product Laws -/
8
-
9
- noncomputable section
10
- open scoped BigOperators
11
- namespace HadwigerCounterexample
12
-
13
- theorem ind_all {ι : Type*} [Fintype ι] (p : ι → Prop) :
14
- ind (∀ i, p i) = ∏ i, ind (p i) := by
15
- classical
16
- simp [ind, Fintype.prod_ite_zero]
17
-
18
- variable {ι κ α : Type*}
19
- variable {β : ι → Type*}
20
-
21
- def prodW [Fintype ι] (w : ∀ i, Wgt (β i)) : Wgt (∀ i, β i) := fun x => ∏ i, w i (x i)
22
-
23
- section
24
- variable [Fintype ι] [DecidableEq ι] [∀ i, Fintype (β i)]
25
-
26
- theorem prodW_tot (w : ∀ i, Wgt (β i)) : tot (prodW w) = ∏ i, tot (w i) :=
27
- (Fintype.prod_sum w).symm
28
-
29
- theorem prodW_avg (w f : ∀ i, Wgt (β i)) :
30
- avg (prodW w) (prodW f) = ∏ i, avg (w i) (f i) := by
31
- simp only [avg, prodW]
32
- rw [Fintype.prod_sum]
33
- simp only [Finset.prod_mul_distrib]
34
-
35
- theorem prodW_pr (w : ∀ i, Wgt (β i)) (p : ∀ i, β i → Prop) :
36
- pr (prodW w) (fun x => ∀ i, p i (x i)) = ∏ i, pr (w i) (p i) := by
37
- simp_rw [pr, ind_all]
38
- exact prodW_avg w (fun i x => ind (p i x))
39
-
40
- omit [DecidableEq ι] [∀ i, Fintype (β i)] in
41
- theorem prodW_nonneg {w : ∀ i, Wgt (β i)} (h : ∀ i x, 0 ≤ w i x) (x) : 0 ≤ prodW w x :=
42
- Finset.prod_nonneg (fun i _ => h i _)
43
-
44
- theorem prodW_law {w : ∀ i, Wgt (β i)} (hw : ∀ i, IsLaw (w i)) : IsLaw (prodW w) := by
45
- refine ⟨prodW_nonneg (fun i => (hw i).nz), ?_⟩
46
- rw [prodW_tot]
47
- simp_rw [(hw _).total]
48
- simp
49
-
50
- end
51
-
52
- section
53
- variable [Fintype ι] [Fintype κ] [Fintype α] [DecidableEq κ]
54
- /-- Observe distinct coordinates of a (constant-type) product law. -/
55
- theorem prodW_pr_inj {e : ι → κ} (he : Function.Injective e)
56
- {w : κ → Wgt α} (hw : ∀ k, IsLaw (w k)) (p : ι → α → Prop) :
57
- pr (prodW (β:=fun _ => α) w) (fun x => ∀ i, p i (x (e i))) =
58
- ∏ i, pr (w (e i)) (p i) := by
59
- classical
60
- let P (k : κ) (x : α) := ∀ i, e i = k → p i x
61
- have h (x : κ → α) : (∀ i, p i (x (e i))) ↔ ∀ k, P k (x k) :=
62
- ⟨fun h k i hi => hi ▸ h i, fun h i => h (e i) i rfl⟩
63
- simp_rw [h]
64
- rw [prodW_pr _ P]
65
- let f (k : κ) (i : ι) := if e i = k then pr (w k) (p i) else 1
66
- have hf (k : κ) : pr (w k) (P k) = ∏ i, f k i := by
67
- by_cases hk : ∃ i, e i = k
68
- · obtain ⟨i, rfl⟩ := hk
69
- have hP : P (e i) = p i := funext fun x => propext
70
- ⟨fun h => h i rfl, fun h j hj => (he hj).symm ▸ h⟩
71
- rw [hP]
72
- symm
73
- rw [Finset.prod_eq_single i]
74
- · simp [f]
75
- · intro j _ hj
76
- simp [f, show e j ≠ e i from he.ne hj]
77
- · simp
78
- · push Not at hk
79
- have hP : P k = (fun _ => True) := funext fun _ => propext
80
- ⟨fun _ => trivial, fun _ j hj => (hk j hj).elim⟩
81
- simp [hP, (hw k).total, f, hk]
82
- simp_rw [hf]
83
- rw [Finset.prod_comm]
84
- simp [f]
85
-
86
- theorem prodW_map_inj {e : ι → κ} (he : Function.Injective e)
87
- {w : κ → Wgt α} (hw : ∀ k, IsLaw (w k)) :
88
- mapW (prodW (β := fun _ => α) w) (fun x : κ → α => fun i : ι => x (e i)) =
89
- prodW (β := fun _ => α) (fun i => w (e i)) := by
90
- funext x
91
- unfold mapW
92
- simp_rw [funext_iff]
93
- have h := prodW_pr_inj he hw (fun i y => y = x i)
94
- simp_rw [pr_point'] at h
95
- exact h
96
-
97
- /-- Mapping to ordered pairs along a disjoint family of positions. -/
98
- theorem prodW_map_pairs (e : ι ⊕ ι → κ) (he : Function.Injective e)
99
- {w : Wgt α} (hw : IsLaw w) :
100
- mapW (prodW (fun _ : κ => w))
101
- (fun x i => (x (e (.inl i)), x (e (.inr i)))) =
102
- prodW (fun _ : ι => pairW w w) := by
103
- funext y
104
- let p (j : ι ⊕ ι) (x : α) := j.elim (fun i => x = (y i).1) (fun i => x = (y i).2)
105
- have heq (x : κ → α) :
106
- ((fun i => (x (e (.inl i)), x (e (.inr i)))) = y) ↔ ∀ j, p j (x (e j)) := by
107
- simp [funext_iff, Prod.ext_iff, p, Sum.forall, forall_and]
108
- unfold mapW
109
- simp_rw [heq]
110
- have h := prodW_pr_inj he (w:=fun _ => w) (fun _ => hw) p
111
- rw [h]
112
- simp [Fintype.prod_sum_type, p, prodW, pairW, Finset.prod_mul_distrib]
113
-
114
- end
115
- end HadwigerCounterexample
116
-
117
- end
118
-
119
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteLaws
2
+ import Mathlib.Data.Fintype.Pi
3
+ import Mathlib.Algebra.BigOperators.GroupWithZero.Finset
4
+
5
+ namespace OAI
6
+
7
+ /-! # Product Laws -/
8
+
9
+ noncomputable section
10
+ open scoped BigOperators
11
+ namespace HadwigerCounterexample
12
+
13
+ theorem ind_all {ι : Type*} [Fintype ι] (p : ι → Prop) :
14
+ ind (∀ i, p i) = ∏ i, ind (p i) := by
15
+ classical
16
+ simp [ind, Fintype.prod_ite_zero]
17
+
18
+ variable {ι κ α : Type*}
19
+ variable {β : ι → Type*}
20
+
21
+ def prodW [Fintype ι] (w : ∀ i, Wgt (β i)) : Wgt (∀ i, β i) := fun x => ∏ i, w i (x i)
22
+
23
+ section
24
+ variable [Fintype ι] [DecidableEq ι] [∀ i, Fintype (β i)]
25
+
26
+ theorem prodW_tot (w : ∀ i, Wgt (β i)) : tot (prodW w) = ∏ i, tot (w i) :=
27
+ (Fintype.prod_sum w).symm
28
+
29
+ theorem prodW_avg (w f : ∀ i, Wgt (β i)) :
30
+ avg (prodW w) (prodW f) = ∏ i, avg (w i) (f i) := by
31
+ simp only [avg, prodW]
32
+ rw [Fintype.prod_sum]
33
+ simp only [Finset.prod_mul_distrib]
34
+
35
+ theorem prodW_pr (w : ∀ i, Wgt (β i)) (p : ∀ i, β i → Prop) :
36
+ pr (prodW w) (fun x => ∀ i, p i (x i)) = ∏ i, pr (w i) (p i) := by
37
+ simp_rw [pr, ind_all]
38
+ exact prodW_avg w (fun i x => ind (p i x))
39
+
40
+ omit [DecidableEq ι] [∀ i, Fintype (β i)] in
41
+ theorem prodW_nonneg {w : ∀ i, Wgt (β i)} (h : ∀ i x, 0 ≤ w i x) (x) : 0 ≤ prodW w x :=
42
+ Finset.prod_nonneg (fun i _ => h i _)
43
+
44
+ theorem prodW_law {w : ∀ i, Wgt (β i)} (hw : ∀ i, IsLaw (w i)) : IsLaw (prodW w) := by
45
+ refine ⟨prodW_nonneg (fun i => (hw i).nz), ?_⟩
46
+ rw [prodW_tot]
47
+ simp_rw [(hw _).total]
48
+ simp
49
+
50
+ end
51
+
52
+ section
53
+ variable [Fintype ι] [Fintype κ] [Fintype α] [DecidableEq κ]
54
+ /-- Observe distinct coordinates of a (constant-type) product law. -/
55
+ theorem prodW_pr_inj {e : ι → κ} (he : Function.Injective e)
56
+ {w : κ → Wgt α} (hw : ∀ k, IsLaw (w k)) (p : ι → α → Prop) :
57
+ pr (prodW (β:=fun _ => α) w) (fun x => ∀ i, p i (x (e i))) =
58
+ ∏ i, pr (w (e i)) (p i) := by
59
+ classical
60
+ let P (k : κ) (x : α) := ∀ i, e i = k → p i x
61
+ have h (x : κ → α) : (∀ i, p i (x (e i))) ↔ ∀ k, P k (x k) :=
62
+ ⟨fun h k i hi => hi ▸ h i, fun h i => h (e i) i rfl⟩
63
+ simp_rw [h]
64
+ rw [prodW_pr _ P]
65
+ let f (k : κ) (i : ι) := if e i = k then pr (w k) (p i) else 1
66
+ have hf (k : κ) : pr (w k) (P k) = ∏ i, f k i := by
67
+ by_cases hk : ∃ i, e i = k
68
+ · obtain ⟨i, rfl⟩ := hk
69
+ have hP : P (e i) = p i := funext fun x => propext
70
+ ⟨fun h => h i rfl, fun h j hj => (he hj).symm ▸ h⟩
71
+ rw [hP]
72
+ symm
73
+ rw [Finset.prod_eq_single i]
74
+ · simp [f]
75
+ · intro j _ hj
76
+ simp [f, show e j ≠ e i from he.ne hj]
77
+ · simp
78
+ · push Not at hk
79
+ have hP : P k = (fun _ => True) := funext fun _ => propext
80
+ ⟨fun _ => trivial, fun _ j hj => (hk j hj).elim⟩
81
+ simp [hP, (hw k).total, f, hk]
82
+ simp_rw [hf]
83
+ rw [Finset.prod_comm]
84
+ simp [f]
85
+
86
+ theorem prodW_map_inj {e : ι → κ} (he : Function.Injective e)
87
+ {w : κ → Wgt α} (hw : ∀ k, IsLaw (w k)) :
88
+ mapW (prodW (β := fun _ => α) w) (fun x : κ → α => fun i : ι => x (e i)) =
89
+ prodW (β := fun _ => α) (fun i => w (e i)) := by
90
+ funext x
91
+ unfold mapW
92
+ simp_rw [funext_iff]
93
+ have h := prodW_pr_inj he hw (fun i y => y = x i)
94
+ simp_rw [pr_point'] at h
95
+ exact h
96
+
97
+ /-- Mapping to ordered pairs along a disjoint family of positions. -/
98
+ theorem prodW_map_pairs (e : ι ⊕ ι → κ) (he : Function.Injective e)
99
+ {w : Wgt α} (hw : IsLaw w) :
100
+ mapW (prodW (fun _ : κ => w))
101
+ (fun x i => (x (e (.inl i)), x (e (.inr i)))) =
102
+ prodW (fun _ : ι => pairW w w) := by
103
+ funext y
104
+ let p (j : ι ⊕ ι) (x : α) := j.elim (fun i => x = (y i).1) (fun i => x = (y i).2)
105
+ have heq (x : κ → α) :
106
+ ((fun i => (x (e (.inl i)), x (e (.inr i)))) = y) ↔ ∀ j, p j (x (e j)) := by
107
+ simp [funext_iff, Prod.ext_iff, p, Sum.forall, forall_and]
108
+ unfold mapW
109
+ simp_rw [heq]
110
+ have h := prodW_pr_inj he (w:=fun _ => w) (fun _ => hw) p
111
+ rw [h]
112
+ simp [Fintype.prod_sum_type, p, prodW, pairW, Finset.prod_mul_distrib]
113
+
114
+ end
115
+ end HadwigerCounterexample
116
+
117
+ end
118
+
119
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProjectedSurrogates.lean CHANGED
@@ -1,159 +1,159 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.CommonPartitions
2
-
3
- namespace OAI
4
-
5
- /-! # Projected Surrogates -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real Function
10
- open scoped BigOperators
11
- variable {A B I J : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J]
12
-
13
- def bower (f : Wgt A) := (∀ i,0≤ f i)∧ (∀ i,f i≤1)
14
- omit [Fintype B] in
15
- theorem book_order (w : Wgt A) (p : A→ B) (hw : IsLaw w)
16
- (f g : Wgt A) (h : ∀ i, f i≤ g i) (x) :
17
- cashbook w p f x ≤ cashbook w p g x := by
18
- apply div_le_div_of_nonneg_right _ (map_nz hw.nz p x)
19
- exact pr_mono_left (fun i=> mul_le_mul_of_nonneg_left (h i) (hw.nz i)) _
20
- omit [Fintype B] in
21
- theorem book_nonneg (w : Wgt A) (p : A→B) (hw : IsLaw w) (f : Wgt A) (hf : ∀ i,0 ≤ f i) (x) :
22
- 0 ≤ cashbook w p f x := div_nonneg (pr_nonneg (fun i=>mul_nonneg (hw.nz i) (hf i))) (map_nz hw.nz p x)
23
- omit [Fintype B] in
24
- theorem garden (w f : Wgt A) (p : A→B) (hw : IsLaw w) (hf : bower f) :
25
- bower (banner w p f) := by
26
- refine ⟨fun i=> book_nonneg w p hw f hf.1 _,fun i=>?_⟩
27
- exact (le_abs_self _).trans (cashbook_bound w hw.nz p f 1 zero_le_one (fun i=>by
28
- rw [abs_of_nonneg (hf.1 _)]; exact hf.2 _) _)
29
- theorem projected_min (w : Wgt A) (p : A→B) (hw : IsLaw w) (f g : Wgt A)
30
- (hf : bower f) (hg : bower g) :
31
- dip w f g ^2 ≤ dip w (banner w p f) (banner w p g) := by
32
- let h i := f i*g i
33
- let u := banner w p h
34
- have hi : dip w f g=avg w u := by
35
- have hh := cash_orth w hw.nz p h (fun _=>1)
36
- simpa only [dip,u,Function.comp_apply,mul_one,h] using hh.symm
37
- have hh (i) :
38
- u i^2 ≤ banner w p f i*banner w p g i := by
39
- have h0 : bower u := garden w h p hw ⟨fun i=>mul_nonneg (hf.1 _) (hg.1 _),fun i=>
40
- (mul_le_mul (hf.2 _) (hg.2 _) (hg.1 _) zero_le_one).trans_eq (one_mul _)⟩
41
- have h1 (i) : h i≤ f i :=
42
- ((mul_le_mul_of_nonneg_left (hg.2 _) (hf.1 _)).trans_eq (mul_one _))
43
- have h2 (i) : h i≤g i :=
44
- ((mul_le_mul_of_nonneg_right (hf.2 _) (hg.1 _)).trans_eq (one_mul _))
45
- rw [pow_two]; exact mul_le_mul (book_order w p hw h f h1 _) (book_order w p hw h g h2 _)
46
- (h0.1 i) ((garden w f p hw hf).1 i)
47
- rw [hi]; exact (mean_sq w hw u).trans (avg_mono hw.nz hh)
48
-
49
- def trayLoss (R : ℝ) (u f : Wgt A) := pr f (fun i => R≤density u f i)
50
- omit [Fintype A] in
51
- theorem dresso (u f : Wgt A) (h : lsupp f u) : f = fun i => u i*density u f i := by
52
- funext i; unfold density
53
- by_cases he : f i=0
54
- · simp only [he,zero_div,mul_zero]
55
- have hh := h i he
56
- field_simp
57
-
58
- theorem density_error (w : Wgt A) (p : A→B) (hw : IsLaw w) (f g : Wgt A) (hz : lsupp g w) :
59
- lcost w (banner w p f) (banner w p (density w g))≤
60
- varOne (mapW (fun i=>w i*f i) p) (mapW g p) := by
61
- classical
62
- let x i := |cashbook w p f i-cashbook w p (density w g) i|
63
- have he :
64
- lcost w (banner w p f) (banner w p (density w g))=avg (mapW w p) x :=
65
- (mapW_avg w p x).symm
66
- rw [he]; unfold avg varOne
67
- refine sum_le_sum fun i _=>?_
68
- let V:=mapW w p i; let A:= mapW (fun i=> w i*f i) p i; let B:= mapW g p i
69
- have hh : x i= |A-B|/V := by
70
- unfold x cashbook A B V
71
- rw [← dresso w g hz,←sub_div,abs_div,abs_of_nonneg (map_nz hw.nz ..)]
72
- rw [hh]
73
- by_cases h : V=0
74
- · change V*_ ≤_
75
- rw [h,zero_mul]; exact abs_nonneg _
76
- change V*(|A-B|/V)≤ |A-B|
77
- exact le_of_eq (by field_simp)
78
-
79
- theorem density_trim (u f : Wgt A) (h : ∀ i,0≤f i) (hu : IsLaw u)
80
- (R : ℝ) (hR : 0≤R) :
81
- (∀ i,mcut R u f i ≤ density u f i) ∧ lcost u (density u f) (mcut R u f)≤trayLoss R u f := by
82
- have h1 (i:A) : 0≤density u f i := div_nonneg (h _) (hu.nz _)
83
- have h2 (i) :
84
- mcut R u f i=min (density u f i) R := congrArg (fun x=>min x R) (max_eq_left (h1 _))
85
- have h3 (i) := show mcut R u f i ≤ density u f i from le_trans (le_of_eq (h2 i)) (min_le_left ..)
86
- refine ⟨h3,Finset.sum_le_sum (fun i _=>?_)⟩
87
- change u i*|density u f i-mcut R u f i| ≤ f i* ind _
88
- rw [abs_of_nonneg (sub_nonneg.mpr (h3 _)),h2]
89
- by_cases hz : R≤density u f i
90
- · rw [ind_one hz,mul_one,min_eq_right hz]
91
- have hm := hu.nz i
92
- by_cases hg : u i=0
93
- · rw [hg,zero_mul]; exact h _
94
- apply le_trans (mul_le_mul_of_nonneg_left (sub_le_self _ hR) hm) (le_of_eq ?_)
95
- unfold density; field_simp
96
- rw [ind_zero hz,mul_zero,min_eq_left (le_of_not_ge hz),sub_self,mul_zero]
97
-
98
- private theorem cost_gap (u : Wgt A) (p : A→B) (f g : Wgt A) (h : ∀ i,g i≤ f i)
99
- (hu : IsLaw u) :
100
- lcost u (banner u p f) (banner u p g)=lcost u f g := by
101
- have hf (i : A) : |banner u p f i-banner u p g i|=banner u p f i-banner u p g i :=
102
- abs_of_nonneg (sub_nonneg.mpr (book_order u p hu g f h _))
103
- have hg (f : Wgt A) : avg u f = avg u (banner u p f) := by
104
- have hh := cash_orth u hu.nz p f (fun _=>1); simpa only [dip,Function.comp_apply,mul_one] using hh.symm
105
- unfold lcost; simp_rw [hf, abs_of_nonneg (sub_nonneg.mpr (h _)), avg_sub]
106
- rw [← hg f, ← hg g]
107
-
108
- set_option maxHeartbeats 800000 in
109
- theorem density_mend (u : Wgt A) (hu : IsLaw u) (p : A→B) (R : ℝ) (hR : 0≤ R)
110
- (f g x y : Wgt A) (hf : bower f) (hg : bower g) (hx : SubLaw x)
111
- (hy : SubLaw y) (h1 : lsupp x u) (h2 : lsupp y u) :
112
- let V f g := varOne (mapW (fun i=>u i*f i) p) (mapW g p)+trayLoss R u g
113
- dip u f g ^ 2 ≤ overlap u x y + |rebate u (mcut R u x) (mcut R u y) p|+
114
- (V f x+V g y) := by
115
- classical
116
- intro V
117
- let F:=banner u p f; let G:=banner u p g
118
- let X:=banner u p (mcut R u x); let Y:=banner u p (mcut R u y)
119
- have he (f x : Wgt A) (hx : SubLaw x) (h : lsupp x u) :
120
- lcost u (banner u p f) (banner u p (mcut R u x)) ≤ V f x := by
121
- let F := banner u p f; let X:=banner u p (density u x); let Z:=banner u p (mcut R u x)
122
- obtain ⟨h1,h2⟩:=density_trim u x hx.nz hu R hR
123
- have hh : lcost u F Z≤lcost u F X+lcost u X Z := by
124
- unfold lcost; rw [← avg_add]; exact avg_mono hu.nz fun i=>abs_sub_le _ _ _
125
- exact hh.trans (add_le_add (density_error u p hu f x h)
126
- (le_trans (cost_gap u p (density u x) _ h1 hu).le h2))
127
- have hh i : F i*G i ≤ X i*Y i + (|F i-X i|+|G i-Y i|) := by
128
- have hA := (garden u f p hu hf).2 i; have hB := (garden u g p hu hg).2 i
129
- have ht : 0≤X i := book_nonneg u p hu _ (fun i=> (mcut_range _ _ _ hR i).1) _
130
- have hq : 0≤Y i := book_nonneg u p hu _ (fun i=> (mcut_range _ _ _ hR i).1) _
131
- have hp := (garden u f p hu hf).1 i
132
- by_cases h : X i≤F i
133
- · by_cases h' : Y i≤ G i
134
- · nlinarith only [ht,hq,h,h',hA,hB, le_abs_self (F i-X i),le_abs_self (G i-Y i)]
135
- have hz := le_of_not_ge h'
136
- nlinarith only [h,hB,hz,le_abs_self (F i-X i),abs_nonneg (G i-Y i),ht]
137
- have hz := le_of_not_ge h
138
- by_cases h' : Y i≤ G i
139
- · nlinarith only [hA,hq,h',hz,abs_nonneg (F i-X i),le_abs_self (G i-Y i)]
140
- have hi := le_of_not_ge h'
141
- nlinarith only [hz,hq,hi,hp,abs_nonneg (F i-X i), abs_nonneg (G i-Y i)]
142
- let A:= mcut R u x; let B:=mcut R u y
143
- have hz : dip u A B≤overlap u x y :=
144
- avg_mono hu.nz (fun i=>mul_le_mul ((density_trim u x hx.nz hu _ hR).1 _)
145
- ((density_trim u y hy.nz hu _ hR).1 _) ((mcut_range R u y hR i).1)
146
- (div_nonneg (hx.nz _) (hu.nz _)))
147
- have h :
148
- dip u X Y≤overlap u x y + |rebate u A B p| := by
149
- have h : dip u X Y-dip u A B ≤|dip u A B-dip u X Y| := by rw [abs_sub_comm]; exact le_abs_self _
150
- change _≤ _+ |dip u A B - dip u X Y|; linarith only [h,hz]
151
- have hp := avg_mono hu.nz hh
152
- rw [avg_add,avg_add] at hp
153
- exact (le_trans (projected_min u p hu f g hf hg) hp).trans
154
- (add_le_add h (add_le_add (he f x hx h1) (he g y hy h2)))
155
- end HadwigerCounterexample
156
-
157
- end
158
-
159
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.CommonPartitions
2
+
3
+ namespace OAI
4
+
5
+ /-! # Projected Surrogates -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real Function
10
+ open scoped BigOperators
11
+ variable {A B I J : Type} [Fintype A] [Fintype B] [Fintype I] [Fintype J]
12
+
13
+ def bower (f : Wgt A) := (∀ i,0≤ f i)∧ (∀ i,f i≤1)
14
+ omit [Fintype B] in
15
+ theorem book_order (w : Wgt A) (p : A→ B) (hw : IsLaw w)
16
+ (f g : Wgt A) (h : ∀ i, f i≤ g i) (x) :
17
+ cashbook w p f x ≤ cashbook w p g x := by
18
+ apply div_le_div_of_nonneg_right _ (map_nz hw.nz p x)
19
+ exact pr_mono_left (fun i=> mul_le_mul_of_nonneg_left (h i) (hw.nz i)) _
20
+ omit [Fintype B] in
21
+ theorem book_nonneg (w : Wgt A) (p : A→B) (hw : IsLaw w) (f : Wgt A) (hf : ∀ i,0 ≤ f i) (x) :
22
+ 0 ≤ cashbook w p f x := div_nonneg (pr_nonneg (fun i=>mul_nonneg (hw.nz i) (hf i))) (map_nz hw.nz p x)
23
+ omit [Fintype B] in
24
+ theorem garden (w f : Wgt A) (p : A→B) (hw : IsLaw w) (hf : bower f) :
25
+ bower (banner w p f) := by
26
+ refine ⟨fun i=> book_nonneg w p hw f hf.1 _,fun i=>?_⟩
27
+ exact (le_abs_self _).trans (cashbook_bound w hw.nz p f 1 zero_le_one (fun i=>by
28
+ rw [abs_of_nonneg (hf.1 _)]; exact hf.2 _) _)
29
+ theorem projected_min (w : Wgt A) (p : A→B) (hw : IsLaw w) (f g : Wgt A)
30
+ (hf : bower f) (hg : bower g) :
31
+ dip w f g ^2 ≤ dip w (banner w p f) (banner w p g) := by
32
+ let h i := f i*g i
33
+ let u := banner w p h
34
+ have hi : dip w f g=avg w u := by
35
+ have hh := cash_orth w hw.nz p h (fun _=>1)
36
+ simpa only [dip,u,Function.comp_apply,mul_one,h] using hh.symm
37
+ have hh (i) :
38
+ u i^2 ≤ banner w p f i*banner w p g i := by
39
+ have h0 : bower u := garden w h p hw ⟨fun i=>mul_nonneg (hf.1 _) (hg.1 _),fun i=>
40
+ (mul_le_mul (hf.2 _) (hg.2 _) (hg.1 _) zero_le_one).trans_eq (one_mul _)⟩
41
+ have h1 (i) : h i≤ f i :=
42
+ ((mul_le_mul_of_nonneg_left (hg.2 _) (hf.1 _)).trans_eq (mul_one _))
43
+ have h2 (i) : h i≤g i :=
44
+ ((mul_le_mul_of_nonneg_right (hf.2 _) (hg.1 _)).trans_eq (one_mul _))
45
+ rw [pow_two]; exact mul_le_mul (book_order w p hw h f h1 _) (book_order w p hw h g h2 _)
46
+ (h0.1 i) ((garden w f p hw hf).1 i)
47
+ rw [hi]; exact (mean_sq w hw u).trans (avg_mono hw.nz hh)
48
+
49
+ def trayLoss (R : ℝ) (u f : Wgt A) := pr f (fun i => R≤density u f i)
50
+ omit [Fintype A] in
51
+ theorem dresso (u f : Wgt A) (h : lsupp f u) : f = fun i => u i*density u f i := by
52
+ funext i; unfold density
53
+ by_cases he : f i=0
54
+ · simp only [he,zero_div,mul_zero]
55
+ have hh := h i he
56
+ field_simp
57
+
58
+ theorem density_error (w : Wgt A) (p : A→B) (hw : IsLaw w) (f g : Wgt A) (hz : lsupp g w) :
59
+ lcost w (banner w p f) (banner w p (density w g))≤
60
+ varOne (mapW (fun i=>w i*f i) p) (mapW g p) := by
61
+ classical
62
+ let x i := |cashbook w p f i-cashbook w p (density w g) i|
63
+ have he :
64
+ lcost w (banner w p f) (banner w p (density w g))=avg (mapW w p) x :=
65
+ (mapW_avg w p x).symm
66
+ rw [he]; unfold avg varOne
67
+ refine sum_le_sum fun i _=>?_
68
+ let V:=mapW w p i; let A:= mapW (fun i=> w i*f i) p i; let B:= mapW g p i
69
+ have hh : x i= |A-B|/V := by
70
+ unfold x cashbook A B V
71
+ rw [← dresso w g hz,←sub_div,abs_div,abs_of_nonneg (map_nz hw.nz ..)]
72
+ rw [hh]
73
+ by_cases h : V=0
74
+ · change V*_ ≤_
75
+ rw [h,zero_mul]; exact abs_nonneg _
76
+ change V*(|A-B|/V)≤ |A-B|
77
+ exact le_of_eq (by field_simp)
78
+
79
+ theorem density_trim (u f : Wgt A) (h : ∀ i,0≤f i) (hu : IsLaw u)
80
+ (R : ℝ) (hR : 0≤R) :
81
+ (∀ i,mcut R u f i ≤ density u f i) ∧ lcost u (density u f) (mcut R u f)≤trayLoss R u f := by
82
+ have h1 (i:A) : 0≤density u f i := div_nonneg (h _) (hu.nz _)
83
+ have h2 (i) :
84
+ mcut R u f i=min (density u f i) R := congrArg (fun x=>min x R) (max_eq_left (h1 _))
85
+ have h3 (i) := show mcut R u f i ≤ density u f i from le_trans (le_of_eq (h2 i)) (min_le_left ..)
86
+ refine ⟨h3,Finset.sum_le_sum (fun i _=>?_)⟩
87
+ change u i*|density u f i-mcut R u f i| ≤ f i* ind _
88
+ rw [abs_of_nonneg (sub_nonneg.mpr (h3 _)),h2]
89
+ by_cases hz : R≤density u f i
90
+ · rw [ind_one hz,mul_one,min_eq_right hz]
91
+ have hm := hu.nz i
92
+ by_cases hg : u i=0
93
+ · rw [hg,zero_mul]; exact h _
94
+ apply le_trans (mul_le_mul_of_nonneg_left (sub_le_self _ hR) hm) (le_of_eq ?_)
95
+ unfold density; field_simp
96
+ rw [ind_zero hz,mul_zero,min_eq_left (le_of_not_ge hz),sub_self,mul_zero]
97
+
98
+ private theorem cost_gap (u : Wgt A) (p : A→B) (f g : Wgt A) (h : ∀ i,g i≤ f i)
99
+ (hu : IsLaw u) :
100
+ lcost u (banner u p f) (banner u p g)=lcost u f g := by
101
+ have hf (i : A) : |banner u p f i-banner u p g i|=banner u p f i-banner u p g i :=
102
+ abs_of_nonneg (sub_nonneg.mpr (book_order u p hu g f h _))
103
+ have hg (f : Wgt A) : avg u f = avg u (banner u p f) := by
104
+ have hh := cash_orth u hu.nz p f (fun _=>1); simpa only [dip,Function.comp_apply,mul_one] using hh.symm
105
+ unfold lcost; simp_rw [hf, abs_of_nonneg (sub_nonneg.mpr (h _)), avg_sub]
106
+ rw [← hg f, ← hg g]
107
+
108
+ set_option maxHeartbeats 800000 in
109
+ theorem density_mend (u : Wgt A) (hu : IsLaw u) (p : A→B) (R : ℝ) (hR : 0≤ R)
110
+ (f g x y : Wgt A) (hf : bower f) (hg : bower g) (hx : SubLaw x)
111
+ (hy : SubLaw y) (h1 : lsupp x u) (h2 : lsupp y u) :
112
+ let V f g := varOne (mapW (fun i=>u i*f i) p) (mapW g p)+trayLoss R u g
113
+ dip u f g ^ 2 ≤ overlap u x y + |rebate u (mcut R u x) (mcut R u y) p|+
114
+ (V f x+V g y) := by
115
+ classical
116
+ intro V
117
+ let F:=banner u p f; let G:=banner u p g
118
+ let X:=banner u p (mcut R u x); let Y:=banner u p (mcut R u y)
119
+ have he (f x : Wgt A) (hx : SubLaw x) (h : lsupp x u) :
120
+ lcost u (banner u p f) (banner u p (mcut R u x)) ≤ V f x := by
121
+ let F := banner u p f; let X:=banner u p (density u x); let Z:=banner u p (mcut R u x)
122
+ obtain ⟨h1,h2⟩:=density_trim u x hx.nz hu R hR
123
+ have hh : lcost u F Z≤lcost u F X+lcost u X Z := by
124
+ unfold lcost; rw [← avg_add]; exact avg_mono hu.nz fun i=>abs_sub_le _ _ _
125
+ exact hh.trans (add_le_add (density_error u p hu f x h)
126
+ (le_trans (cost_gap u p (density u x) _ h1 hu).le h2))
127
+ have hh i : F i*G i ≤ X i*Y i + (|F i-X i|+|G i-Y i|) := by
128
+ have hA := (garden u f p hu hf).2 i; have hB := (garden u g p hu hg).2 i
129
+ have ht : 0≤X i := book_nonneg u p hu _ (fun i=> (mcut_range _ _ _ hR i).1) _
130
+ have hq : 0≤Y i := book_nonneg u p hu _ (fun i=> (mcut_range _ _ _ hR i).1) _
131
+ have hp := (garden u f p hu hf).1 i
132
+ by_cases h : X i≤F i
133
+ · by_cases h' : Y i≤ G i
134
+ · nlinarith only [ht,hq,h,h',hA,hB, le_abs_self (F i-X i),le_abs_self (G i-Y i)]
135
+ have hz := le_of_not_ge h'
136
+ nlinarith only [h,hB,hz,le_abs_self (F i-X i),abs_nonneg (G i-Y i),ht]
137
+ have hz := le_of_not_ge h
138
+ by_cases h' : Y i≤ G i
139
+ · nlinarith only [hA,hq,h',hz,abs_nonneg (F i-X i),le_abs_self (G i-Y i)]
140
+ have hi := le_of_not_ge h'
141
+ nlinarith only [hz,hq,hi,hp,abs_nonneg (F i-X i), abs_nonneg (G i-Y i)]
142
+ let A:= mcut R u x; let B:=mcut R u y
143
+ have hz : dip u A B≤overlap u x y :=
144
+ avg_mono hu.nz (fun i=>mul_le_mul ((density_trim u x hx.nz hu _ hR).1 _)
145
+ ((density_trim u y hy.nz hu _ hR).1 _) ((mcut_range R u y hR i).1)
146
+ (div_nonneg (hx.nz _) (hu.nz _)))
147
+ have h :
148
+ dip u X Y≤overlap u x y + |rebate u A B p| := by
149
+ have h : dip u X Y-dip u A B ≤|dip u A B-dip u X Y| := by rw [abs_sub_comm]; exact le_abs_self _
150
+ change _≤ _+ |dip u A B - dip u X Y|; linarith only [h,hz]
151
+ have hp := avg_mono hu.nz hh
152
+ rw [avg_add,avg_add] at hp
153
+ exact (le_trans (projected_min u p hu f g hf hg) hp).trans
154
+ (add_le_add h (add_le_add (he f x hx h1) (he g y hy h2)))
155
+ end HadwigerCounterexample
156
+
157
+ end
158
+
159
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionEnergy.lean CHANGED
@@ -1,129 +1,129 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RelativeEntropy
2
-
3
- namespace OAI
4
-
5
- /-! # Projection Energy -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real
10
- open scoped BigOperators
11
- variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
12
-
13
- theorem map_mass (p : Wgt A) (f : A→B) : tot (mapW p f)=tot p := by
14
- simpa only [avg_const,mul_one] using mapW_avg p f (fun _ => 1)
15
- omit [Fintype B] in
16
- theorem map_nz {p : Wgt A} (hp : ∀ i, 0 ≤ p i) (f : A→B) (i : B) :
17
- 0 ≤ mapW p f i := pr_nonneg hp
18
- omit [Fintype B] in
19
- theorem lsupp_witness {p : Wgt A} {f : A→B} {i}
20
- (h : mapW p f i≠0) : ∃ x,p x≠0 ∧ f x=i := by
21
- classical
22
- by_contra! hh
23
- refine h (Finset.sum_eq_zero (fun x _ => ?_))
24
- by_cases h : p x=0
25
- · change p x * ind _=0
26
- rw [h,zero_mul]
27
- exact (congrArg (p x * ·) (ind_zero (hh x h))).trans (mul_zero _)
28
-
29
- omit [Fintype B] in
30
- theorem lsupp_hit {p : Wgt A} (hp : ∀ i,0 ≤ p i) (f : A→B) (x : A) (h : p x≠0) :
31
- mapW p f (f x)≠0 := by
32
- have h' := lt_of_le_of_ne (hp x) (Ne.symm h)
33
- have he := weight_le_tot (fun y => mul_nonneg (hp y) (ind_nonneg (f y = f x))) x
34
- simp only [ind_true,mul_one] at he
35
- exact (h'.trans_le he).ne'
36
-
37
- omit [Fintype B] in
38
- theorem lsupp.map {p q : Wgt A} (h : lsupp p q) (hq : ∀ i,0 ≤ q i)
39
- (f : A→B) : lsupp (mapW p f) (mapW q f) := by
40
- intro i hi
41
- obtain ⟨x,hx,rfl⟩ := lsupp_witness hi
42
- exact lsupp_hit hq f x (h x hx)
43
-
44
- omit [Fintype C] in
45
- theorem map_nested {p : Wgt A} (f : A→B) (g : B→C) :
46
- mapW (mapW p f) g = mapW p (g ∘ f) := funext fun _ => mapW_pr p f _
47
-
48
- omit [Fintype C] in
49
- theorem map_mix (w : Wgt A) (p : A→ Wgt B) (f : B→C) :
50
- mapW (mixW w p) f = mixW w (fun i => mapW (p i) f) := funext fun _ => mixW_avg ..
51
-
52
- omit [Fintype B] in
53
- theorem map_resize (p : Wgt A) (f : A→B) (u : Wgt B) :
54
- mapW (fun i => p i*u (f i)) f = (fun i => mapW p f i * u i) := by
55
- funext i
56
- unfold mapW pr avg
57
- rw [Finset.sum_mul]
58
- apply sum_congr rfl
59
- intro j _
60
- by_cases h : f j=i
61
- · simp only [h,ind_true,mul_one]
62
- simp only [ind_zero h,mul_zero,zero_mul]
63
-
64
- def pour (q : Wgt A) (f : A→B) (w : Wgt B) :=
65
- fun i => q i * (w (f i) / mapW q f (f i))
66
-
67
- omit [Fintype B] in
68
- theorem map_pour (q : Wgt A) (f : A → B) (w : Wgt B) (h : lsupp w (mapW q f)) :
69
- mapW (pour q f w) f=w := by
70
- unfold pour
71
- rw [map_resize (u:=fun i => w i / mapW q f i)]
72
- funext i
73
- by_cases he : w i=0
74
- · simp only [he,zero_div,mul_zero]
75
- have hm := h i he
76
- field_simp
77
-
78
- def bucket (q : Wgt A) (f : A→B) (p : Wgt A) := pour q f (mapW p f)
79
-
80
- omit [Fintype B] in
81
- theorem pour_nz {q : Wgt A} {u : Wgt B} (f : A→B)
82
- (hq : ∀ i,0 ≤ q i) (hu : ∀ i,0 ≤ u i) (i) : 0 ≤ pour q f u i :=
83
- mul_nonneg (hq i) (div_nonneg (hu _) (map_nz hq f _))
84
-
85
- omit [Fintype B] in
86
- theorem bucket_scale (q p : Wgt A) (hq : ∀ i,0≤q i) (h : lsupp p q) (f : A→B) :
87
- mapW (bucket q f p) f=mapW p f := map_pour q f _ (lsupp.map h hq f)
88
-
89
- theorem bucket_law {q p : Wgt A} (hp : IsLaw p)
90
- (f : A→B) (hq : ∀ i,0≤q i) (h : lsupp p q) :
91
- IsLaw (bucket q f p) := by
92
- refine ⟨pour_nz f hq (map_nz hp.nz f),?_⟩
93
- rw [←map_mass _ f,bucket_scale q p hq h,map_mass,hp.total]
94
-
95
- omit [Fintype B] in
96
- theorem lsupp_bucket {p q : Wgt A} (f : A → B) (hp : ∀ i, 0 ≤ p i)
97
- (hq : ∀ i,0 ≤ q i) (h : lsupp p q) : lsupp p (bucket q f p) :=
98
- fun x hx => mul_ne_zero (h x hx) (div_ne_zero (lsupp_hit hp f x hx) (lsupp_hit hq f x (h x hx)))
99
-
100
- omit [Fintype C] in
101
- theorem bucket_nested (q p : Wgt A) (f : A→B) (g : B→C) :
102
- mapW (bucket q (g ∘ f) p) f=bucket (mapW q f) g (mapW p f) := by
103
- unfold bucket pour
104
- rw [map_nested,map_nested]
105
- have h := map_resize q f (fun i=>mapW p (g∘f) (g i)/mapW q (g∘f) (g i))
106
- exact h
107
-
108
- omit [Fintype B] in
109
- theorem bucket_mix (q : Wgt A) (f : A → B) (w : Wgt C) (p : C→ Wgt A) :
110
- bucket q f (mixW w p)=mixW w (fun y => bucket q f (p y)) := by
111
- unfold bucket pour
112
- rw [map_mix]
113
- funext i; simp only [mixW,avg_mul',avg_div]
114
-
115
- theorem tension_stage (p q : Wgt A) (hp : ∀ i,0 ≤ p i) (hq : ∀ i, 0≤ q i)
116
- (h : lsupp p q) (f : A→B) :
117
- tension p q=tension p (bucket q f p)+tension (mapW p f) (mapW q f) := by
118
- unfold tension
119
- rw [mapW_avg, ← avg_add]
120
- refine avg_congr (fun i hi => ?_)
121
- have hu := h i hi; have hw := lsupp_hit hp f i hi; have hv := lsupp_hit hq f i hu
122
- dsimp only [bucket,pour]
123
- rw [log_mul hu (div_ne_zero hw hv),log_div hw hv]
124
- ring
125
- end HadwigerCounterexample
126
-
127
- end
128
-
129
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RelativeEntropy
2
+
3
+ namespace OAI
4
+
5
+ /-! # Projection Energy -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real
10
+ open scoped BigOperators
11
+ variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
12
+
13
+ theorem map_mass (p : Wgt A) (f : A→B) : tot (mapW p f)=tot p := by
14
+ simpa only [avg_const,mul_one] using mapW_avg p f (fun _ => 1)
15
+ omit [Fintype B] in
16
+ theorem map_nz {p : Wgt A} (hp : ∀ i, 0 ≤ p i) (f : A→B) (i : B) :
17
+ 0 ≤ mapW p f i := pr_nonneg hp
18
+ omit [Fintype B] in
19
+ theorem lsupp_witness {p : Wgt A} {f : A→B} {i}
20
+ (h : mapW p f i≠0) : ∃ x,p x≠0 ∧ f x=i := by
21
+ classical
22
+ by_contra! hh
23
+ refine h (Finset.sum_eq_zero (fun x _ => ?_))
24
+ by_cases h : p x=0
25
+ · change p x * ind _=0
26
+ rw [h,zero_mul]
27
+ exact (congrArg (p x * ·) (ind_zero (hh x h))).trans (mul_zero _)
28
+
29
+ omit [Fintype B] in
30
+ theorem lsupp_hit {p : Wgt A} (hp : ∀ i,0 ≤ p i) (f : A→B) (x : A) (h : p x≠0) :
31
+ mapW p f (f x)≠0 := by
32
+ have h' := lt_of_le_of_ne (hp x) (Ne.symm h)
33
+ have he := weight_le_tot (fun y => mul_nonneg (hp y) (ind_nonneg (f y = f x))) x
34
+ simp only [ind_true,mul_one] at he
35
+ exact (h'.trans_le he).ne'
36
+
37
+ omit [Fintype B] in
38
+ theorem lsupp.map {p q : Wgt A} (h : lsupp p q) (hq : ∀ i,0 ≤ q i)
39
+ (f : A→B) : lsupp (mapW p f) (mapW q f) := by
40
+ intro i hi
41
+ obtain ⟨x,hx,rfl⟩ := lsupp_witness hi
42
+ exact lsupp_hit hq f x (h x hx)
43
+
44
+ omit [Fintype C] in
45
+ theorem map_nested {p : Wgt A} (f : A→B) (g : B→C) :
46
+ mapW (mapW p f) g = mapW p (g ∘ f) := funext fun _ => mapW_pr p f _
47
+
48
+ omit [Fintype C] in
49
+ theorem map_mix (w : Wgt A) (p : A→ Wgt B) (f : B→C) :
50
+ mapW (mixW w p) f = mixW w (fun i => mapW (p i) f) := funext fun _ => mixW_avg ..
51
+
52
+ omit [Fintype B] in
53
+ theorem map_resize (p : Wgt A) (f : A→B) (u : Wgt B) :
54
+ mapW (fun i => p i*u (f i)) f = (fun i => mapW p f i * u i) := by
55
+ funext i
56
+ unfold mapW pr avg
57
+ rw [Finset.sum_mul]
58
+ apply sum_congr rfl
59
+ intro j _
60
+ by_cases h : f j=i
61
+ · simp only [h,ind_true,mul_one]
62
+ simp only [ind_zero h,mul_zero,zero_mul]
63
+
64
+ def pour (q : Wgt A) (f : A→B) (w : Wgt B) :=
65
+ fun i => q i * (w (f i) / mapW q f (f i))
66
+
67
+ omit [Fintype B] in
68
+ theorem map_pour (q : Wgt A) (f : A → B) (w : Wgt B) (h : lsupp w (mapW q f)) :
69
+ mapW (pour q f w) f=w := by
70
+ unfold pour
71
+ rw [map_resize (u:=fun i => w i / mapW q f i)]
72
+ funext i
73
+ by_cases he : w i=0
74
+ · simp only [he,zero_div,mul_zero]
75
+ have hm := h i he
76
+ field_simp
77
+
78
+ def bucket (q : Wgt A) (f : A→B) (p : Wgt A) := pour q f (mapW p f)
79
+
80
+ omit [Fintype B] in
81
+ theorem pour_nz {q : Wgt A} {u : Wgt B} (f : A→B)
82
+ (hq : ∀ i,0 ≤ q i) (hu : ∀ i,0 ≤ u i) (i) : 0 ≤ pour q f u i :=
83
+ mul_nonneg (hq i) (div_nonneg (hu _) (map_nz hq f _))
84
+
85
+ omit [Fintype B] in
86
+ theorem bucket_scale (q p : Wgt A) (hq : ∀ i,0≤q i) (h : lsupp p q) (f : A→B) :
87
+ mapW (bucket q f p) f=mapW p f := map_pour q f _ (lsupp.map h hq f)
88
+
89
+ theorem bucket_law {q p : Wgt A} (hp : IsLaw p)
90
+ (f : A→B) (hq : ∀ i,0≤q i) (h : lsupp p q) :
91
+ IsLaw (bucket q f p) := by
92
+ refine ⟨pour_nz f hq (map_nz hp.nz f),?_⟩
93
+ rw [←map_mass _ f,bucket_scale q p hq h,map_mass,hp.total]
94
+
95
+ omit [Fintype B] in
96
+ theorem lsupp_bucket {p q : Wgt A} (f : A → B) (hp : ∀ i, 0 ≤ p i)
97
+ (hq : ∀ i,0 ≤ q i) (h : lsupp p q) : lsupp p (bucket q f p) :=
98
+ fun x hx => mul_ne_zero (h x hx) (div_ne_zero (lsupp_hit hp f x hx) (lsupp_hit hq f x (h x hx)))
99
+
100
+ omit [Fintype C] in
101
+ theorem bucket_nested (q p : Wgt A) (f : A→B) (g : B→C) :
102
+ mapW (bucket q (g ∘ f) p) f=bucket (mapW q f) g (mapW p f) := by
103
+ unfold bucket pour
104
+ rw [map_nested,map_nested]
105
+ have h := map_resize q f (fun i=>mapW p (g∘f) (g i)/mapW q (g∘f) (g i))
106
+ exact h
107
+
108
+ omit [Fintype B] in
109
+ theorem bucket_mix (q : Wgt A) (f : A → B) (w : Wgt C) (p : C→ Wgt A) :
110
+ bucket q f (mixW w p)=mixW w (fun y => bucket q f (p y)) := by
111
+ unfold bucket pour
112
+ rw [map_mix]
113
+ funext i; simp only [mixW,avg_mul',avg_div]
114
+
115
+ theorem tension_stage (p q : Wgt A) (hp : ∀ i,0 ≤ p i) (hq : ∀ i, 0≤ q i)
116
+ (h : lsupp p q) (f : A→B) :
117
+ tension p q=tension p (bucket q f p)+tension (mapW p f) (mapW q f) := by
118
+ unfold tension
119
+ rw [mapW_avg, ← avg_add]
120
+ refine avg_congr (fun i hi => ?_)
121
+ have hu := h i hi; have hw := lsupp_hit hp f i hi; have hv := lsupp_hit hq f i hu
122
+ dsimp only [bucket,pour]
123
+ rw [log_mul hu (div_ne_zero hw hv),log_div hw hv]
124
+ ring
125
+ end HadwigerCounterexample
126
+
127
+ end
128
+
129
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionError.lean CHANGED
@@ -1,100 +1,100 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ResidualRegularity
2
-
3
- namespace OAI
4
-
5
- /-! # Projection Error -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix LinearMap Module Filter Function
10
- open scoped BigOperators
11
- variable {A B I : Type} [Fintype A] [Fintype B] [Fintype I]
12
-
13
- def rebate (u f g : Wgt A) (p : A→B) :=
14
- dip u f g - dip u (banner u p f) (banner u p g)
15
- omit [Fintype B] in
16
- theorem rebate_sym (u f g : Wgt A) (p : A→B) :
17
- rebate u f g p=rebate u g f p := by unfold rebate; rw [dip_sym u f,dip_sym u (banner u p f)]
18
- theorem rebate_calc (u f g : Wgt A) (p : A→B) (hu : ∀ i,0≤u i) :
19
- rebate u f g p=dip u (fun i=>f i-banner u p f i) g := by
20
- unfold rebate
21
- rw [dip_sub,dip_sym u (banner u p f) (banner u p g)]
22
- exact congrArg (dip u f g - ·) ((show dip u (banner u p g) (banner u p f)=dip u g (banner u p f) from
23
- cash_orth u hu p g (cashbook u p f)).trans (dip_sym ..))
24
- def lcost (u f g : Wgt A) := avg u (fun i=>|f i-g i|)
25
-
26
- theorem rebate_cost (u f g f' : Wgt A) (p : A→B) (hu : ∀ i,0≤u i)
27
- (r : ℝ) (hr : 0 ≤ r) (h : ∀ i,|g i|≤r) :
28
- |rebate u f g p-rebate u f' g p| ≤ lcost u f f' * (2*r) := by
29
- rw [rebate_sym u f g,rebate_sym u f' g,rebate_calc u g f p hu,rebate_calc u g f' p hu]
30
- unfold dip; rw [←avg_sub]
31
- apply (abs_avg_le hu).trans
32
- have hz i : |g i-banner u p g i|≤2*r :=
33
- ((abs_sub ..).trans (add_le_add (h i) (cashbook_bound u hu p g r hr h (p i)))).trans_eq
34
- (two_mul _).symm
35
- unfold lcost; rw [←avg_mul]; apply avg_mono hu
36
- intro i
37
- dsimp only
38
- rw [←mul_sub,abs_mul,mul_comm]
39
- exact mul_le_mul_of_nonneg_left (hz _) (abs_nonneg _)
40
-
41
- def syrup (r : ℝ) (x : ℝ) := min (max x 0) r
42
- def mcut (r : ℝ) (u : Wgt A) (f : Wgt A) := syrup r ∘ density u f
43
- theorem syrup_range (r x : ℝ) (h : 0≤r) :
44
- 0≤ syrup r x∧ syrup r x ≤ r := ⟨le_min (le_max_right ..) h,min_le_right ..⟩
45
- omit [Fintype A] in
46
- theorem mcut_range (r : ℝ) (u f : Wgt A) (h : 0≤r) (x) :
47
- 0≤mcut r u f x∧mcut r u f x ≤ r := syrup_range _ _ h
48
-
49
- private theorem jelly (r x y : ℝ) :
50
- |syrup r x-syrup r y| ≤ |x-y| := by
51
- wlog hh : x≤y generalizing x y
52
- · rw [abs_sub_comm,abs_sub_comm x y]; exact this y x (le_of_not_ge hh)
53
- have hr : syrup r x ≤ syrup r y := min_le_min (max_le_max hh le_rfl) le_rfl
54
- rw [abs_of_nonpos (sub_nonpos.mpr hh),abs_of_nonpos (sub_nonpos.mpr hr)]
55
- unfold syrup
56
- rcases le_total x 0 with h|h <;> rcases le_total y 0 with he|he
57
- · rw [max_eq_right h,max_eq_right he]; linarith only [hh]
58
- · rw [max_eq_right h,max_eq_left he]; rcases le_total 0 r with h'|h'
59
- · rw [min_eq_left h']
60
- linarith only [h, min_le_left y r]
61
- rw [min_eq_right h',min_eq_right (by linarith)]
62
- linarith
63
- · obtain rfl : x=y := by linarith
64
- simp
65
- rw [max_eq_left h,max_eq_left he]
66
- rcases le_total x r with h'|h'
67
- · rw [min_eq_left h']; linarith only [min_le_left y r]
68
- rw [min_eq_right h',min_eq_right (by linarith)]; linarith
69
-
70
- theorem mcut_cost (r : ℝ) (u f g : Wgt A) (hu : ∀ i,0≤u i) :
71
- lcost u (mcut r u f) (mcut r u g)≤ varOne f g := by
72
- unfold lcost avg varOne; refine sum_le_sum fun i _ => ?_
73
- apply (mul_le_mul_of_nonneg_left (jelly r (density u f i) (density u g i)) (hu i)).trans
74
- by_cases hx : u i=0
75
- · rw [hx,zero_mul]; exact abs_nonneg _
76
- unfold density; rw [←sub_div,abs_div,abs_of_nonneg (hu _)]
77
- exact le_of_eq (by field_simp)
78
-
79
- set_option maxHeartbeats 500000 in
80
- theorem roster_clip (r : ℝ) (u : Wgt A) (hu : IsLaw u) (hr : 0≤r) (Q : Wgt A→ Prop)
81
- (k : ℕ) (ε : ℝ) (h : roster Q k ε) :
82
- ∃ f : Fin (k+1)→Wgt A,(∀ i x,|f i x|≤r) ∧
83
- ∀ w,Q w→∃ i,lcost u (mcut r u w) (f i)≤ ε := by
84
- classical
85
- obtain ⟨t,ht,v,hv⟩:=h
86
- let W:= fun i : Fin (k+1)=> if h:i.val<t then mcut r u (v (⟨i.val,h⟩)) else (fun i:A => 0)
87
- refine ⟨W,fun i x=>?_,fun i hi=>?_⟩
88
- · unfold W; split
89
- next h =>
90
- obtain ⟨he,hy⟩:=mcut_range r u (v (⟨i.val,h⟩)) hr x
91
- rwa [abs_of_nonneg he]
92
- simpa only [abs_zero] using hr
93
- obtain ⟨j,hj⟩:=hv i hi
94
- exact ⟨⟨j.val,Nat.lt_succ_of_lt (j.isLt.trans_le ht)⟩,by
95
- unfold W; rw [dite_eq_left j.isLt]; exact (mcut_cost r u i _ hu.nz).trans hj⟩
96
- end HadwigerCounterexample
97
-
98
- end
99
-
100
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ResidualRegularity
2
+
3
+ namespace OAI
4
+
5
+ /-! # Projection Error -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix LinearMap Module Filter Function
10
+ open scoped BigOperators
11
+ variable {A B I : Type} [Fintype A] [Fintype B] [Fintype I]
12
+
13
+ def rebate (u f g : Wgt A) (p : A→B) :=
14
+ dip u f g - dip u (banner u p f) (banner u p g)
15
+ omit [Fintype B] in
16
+ theorem rebate_sym (u f g : Wgt A) (p : A→B) :
17
+ rebate u f g p=rebate u g f p := by unfold rebate; rw [dip_sym u f,dip_sym u (banner u p f)]
18
+ theorem rebate_calc (u f g : Wgt A) (p : A→B) (hu : ∀ i,0≤u i) :
19
+ rebate u f g p=dip u (fun i=>f i-banner u p f i) g := by
20
+ unfold rebate
21
+ rw [dip_sub,dip_sym u (banner u p f) (banner u p g)]
22
+ exact congrArg (dip u f g - ·) ((show dip u (banner u p g) (banner u p f)=dip u g (banner u p f) from
23
+ cash_orth u hu p g (cashbook u p f)).trans (dip_sym ..))
24
+ def lcost (u f g : Wgt A) := avg u (fun i=>|f i-g i|)
25
+
26
+ theorem rebate_cost (u f g f' : Wgt A) (p : A→B) (hu : ∀ i,0≤u i)
27
+ (r : ℝ) (hr : 0 ≤ r) (h : ∀ i,|g i|≤r) :
28
+ |rebate u f g p-rebate u f' g p| ≤ lcost u f f' * (2*r) := by
29
+ rw [rebate_sym u f g,rebate_sym u f' g,rebate_calc u g f p hu,rebate_calc u g f' p hu]
30
+ unfold dip; rw [←avg_sub]
31
+ apply (abs_avg_le hu).trans
32
+ have hz i : |g i-banner u p g i|≤2*r :=
33
+ ((abs_sub ..).trans (add_le_add (h i) (cashbook_bound u hu p g r hr h (p i)))).trans_eq
34
+ (two_mul _).symm
35
+ unfold lcost; rw [←avg_mul]; apply avg_mono hu
36
+ intro i
37
+ dsimp only
38
+ rw [←mul_sub,abs_mul,mul_comm]
39
+ exact mul_le_mul_of_nonneg_left (hz _) (abs_nonneg _)
40
+
41
+ def syrup (r : ℝ) (x : ℝ) := min (max x 0) r
42
+ def mcut (r : ℝ) (u : Wgt A) (f : Wgt A) := syrup r ∘ density u f
43
+ theorem syrup_range (r x : ℝ) (h : 0≤r) :
44
+ 0≤ syrup r x∧ syrup r x ≤ r := ⟨le_min (le_max_right ..) h,min_le_right ..⟩
45
+ omit [Fintype A] in
46
+ theorem mcut_range (r : ℝ) (u f : Wgt A) (h : 0≤r) (x) :
47
+ 0≤mcut r u f x∧mcut r u f x ≤ r := syrup_range _ _ h
48
+
49
+ private theorem jelly (r x y : ℝ) :
50
+ |syrup r x-syrup r y| ≤ |x-y| := by
51
+ wlog hh : x≤y generalizing x y
52
+ · rw [abs_sub_comm,abs_sub_comm x y]; exact this y x (le_of_not_ge hh)
53
+ have hr : syrup r x ≤ syrup r y := min_le_min (max_le_max hh le_rfl) le_rfl
54
+ rw [abs_of_nonpos (sub_nonpos.mpr hh),abs_of_nonpos (sub_nonpos.mpr hr)]
55
+ unfold syrup
56
+ rcases le_total x 0 with h|h <;> rcases le_total y 0 with he|he
57
+ · rw [max_eq_right h,max_eq_right he]; linarith only [hh]
58
+ · rw [max_eq_right h,max_eq_left he]; rcases le_total 0 r with h'|h'
59
+ · rw [min_eq_left h']
60
+ linarith only [h, min_le_left y r]
61
+ rw [min_eq_right h',min_eq_right (by linarith)]
62
+ linarith
63
+ · obtain rfl : x=y := by linarith
64
+ simp
65
+ rw [max_eq_left h,max_eq_left he]
66
+ rcases le_total x r with h'|h'
67
+ · rw [min_eq_left h']; linarith only [min_le_left y r]
68
+ rw [min_eq_right h',min_eq_right (by linarith)]; linarith
69
+
70
+ theorem mcut_cost (r : ℝ) (u f g : Wgt A) (hu : ∀ i,0≤u i) :
71
+ lcost u (mcut r u f) (mcut r u g)≤ varOne f g := by
72
+ unfold lcost avg varOne; refine sum_le_sum fun i _ => ?_
73
+ apply (mul_le_mul_of_nonneg_left (jelly r (density u f i) (density u g i)) (hu i)).trans
74
+ by_cases hx : u i=0
75
+ · rw [hx,zero_mul]; exact abs_nonneg _
76
+ unfold density; rw [←sub_div,abs_div,abs_of_nonneg (hu _)]
77
+ exact le_of_eq (by field_simp)
78
+
79
+ set_option maxHeartbeats 500000 in
80
+ theorem roster_clip (r : ℝ) (u : Wgt A) (hu : IsLaw u) (hr : 0≤r) (Q : Wgt A→ Prop)
81
+ (k : ℕ) (ε : ℝ) (h : roster Q k ε) :
82
+ ∃ f : Fin (k+1)→Wgt A,(∀ i x,|f i x|≤r) ∧
83
+ ∀ w,Q w→∃ i,lcost u (mcut r u w) (f i)≤ ε := by
84
+ classical
85
+ obtain ⟨t,ht,v,hv⟩:=h
86
+ let W:= fun i : Fin (k+1)=> if h:i.val<t then mcut r u (v (⟨i.val,h⟩)) else (fun i:A => 0)
87
+ refine ⟨W,fun i x=>?_,fun i hi=>?_⟩
88
+ · unfold W; split
89
+ next h =>
90
+ obtain ⟨he,hy⟩:=mcut_range r u (v (⟨i.val,h⟩)) hr x
91
+ rwa [abs_of_nonneg he]
92
+ simpa only [abs_zero] using hr
93
+ obtain ⟨j,hj⟩:=hv i hi
94
+ exact ⟨⟨j.val,Nat.lt_succ_of_lt (j.isLt.trans_le ht)⟩,by
95
+ unfold W; rw [dite_eq_left j.isLt]; exact (mcut_cost r u i _ hu.nz).trans hj⟩
96
+ end HadwigerCounterexample
97
+
98
+ end
99
+
100
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ProjectionNets.lean CHANGED
@@ -1,106 +1,106 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RoundedRefinements
2
-
3
- namespace OAI
4
-
5
- /-! # Projection Nets -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Filter Matrix Real Function
10
- open scoped BigOperators
11
- variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
-
13
- theorem stamina_equiv (p : Wgt A) (e : A≃C) (a : ℝ)
14
- (h : stamina p a) :
15
- stamina (mapW p e) a := by
16
- intro i hi; rw [mapW_equiv_val] at *
17
- exact h _ hi
18
-
19
- theorem tension_equiv (p q : Wgt A) (e : A≃C) :
20
- tension (mapW p e) (mapW q e)=tension p q := by
21
- unfold tension
22
- rw [mapW_avg]
23
- simp_rw [mapW_equiv_val,Equiv.symm_apply_apply]
24
-
25
- theorem budget_equiv (μ : Wgt A) (p : A → Wgt B) (f : B→C) (e : C≃D) :
26
- budget μ p (e ∘ f)=budget μ p f := by
27
- unfold budget
28
- simp_rw [←map_nested f _,tension_equiv]
29
-
30
- def ample (μ : Wgt A) (p : A→Wgt B) (r : ℕ) (ε : ℝ) :=
31
- ∃ t : ℕ,t ≤ r ∧ ∃ f : B → Fin t,∀ w,catalog μ p w →
32
- varOne w (bucket unif f w) ≤ ε
33
-
34
- set_option maxHeartbeats 800000 in
35
- theorem ample_thresh (V ε : ℝ) (hε : 0<ε) :
36
- ∃ (r : ℕ) (δ : ℝ),0<δ ∧ ∀ (A B : Type) [Fintype A] [Fintype B] [Nonempty B]
37
- (μ : Wgt A) (p : A→ Wgt B), Ultra μ p →
38
- tariffs μ p r δ V → ample μ p r ε := by
39
- classical
40
- let c := ε/8
41
- have hc : 0<c := by positivity
42
- obtain ⟨α,hα,hα',hh⟩ := ui_threshold V c hc
43
- obtain ⟨D,hD⟩ := exists_nat_gt (max 0 (V/c^2))
44
- have hd := (max_lt_iff.mp hD).2
45
- rw [div_lt_iff₀ (by positivity)] at hd
46
- let r := 2^(D+1)
47
- have h0 : 0<(r:ℝ) := by unfold r; positivity
48
- let k := min (min α c/r) (1/2)
49
- have hk : 0<k := lt_min (div_pos (lt_min hα hc) h0) (by norm_num)
50
- have hk0 : k≤1/2 := min_le_right ..
51
- have hk' : k≤1 := le_trans hk0 (by norm_num)
52
- let δ := min α (k^D)
53
- have hδ : 0<δ := lt_min hα (pow_pos hk D)
54
- refine ⟨r,δ,hδ,fun A B _ _ _ μ p hw hV => ?_⟩
55
- let e : Wgt B := unif
56
- have he : IsLaw e := unif_law
57
- by_contra h
58
- have hr2 : 2≤r := by
59
- unfold r; rw [pow_succ]
60
- have : 0<2^D := by positivity
61
- omega
62
- have ht := hh A B μ p hw (tariffs_monotone hV hr2 (min_le_left ..))
63
- have hstep (n : ℕ) (hn : n≤ D) :
64
- ∃ f : B → Fin (2^n), stamina (mapW e f) (k^n) ∧
65
- ↑n*c^2 ≤ budget μ p f := by
66
- induction n with
67
- | zero =>
68
- let f := fun _ : B => (0 : Fin (2^0))
69
- refine ⟨f,?_,by simpa using budget_nonneg hw f⟩
70
- intro i hi
71
- have hi : i = 0 := by
72
- have hh := i.isLt; norm_num at hh
73
- exact Fin.ext (by simp only [Fin.val_zero]; omega)
74
- subst i; change 1 ≤ pr e (fun x => f x=0)
75
- simp [f,he.total]
76
- | succ i ih =>
77
- obtain ⟨f,hf,hB⟩ := ih (by omega)
78
- let t := 2^i
79
- have he' : ∃ w,catalog μ p w ∧ 8*c<varOne w (bucket unif f w) := by
80
- by_contra! hh
81
- apply h; refine ⟨t,Nat.pow_le_pow_right (by decide) (by omega),f,?_⟩
82
- rwa [show 8*c=ε by unfold c; ring] at hh
83
- obtain ⟨w,hw',hwv⟩ := he'
84
- have hz : num (Fin t × Bool)*k ≤ min α c := by
85
- have h1 : Fintype.card (Fin t × Bool) ≤ r :=
86
- calc _ = 2^(i+1) := by simp [pow_succ,t]
87
- _ ≤ r := Nat.pow_le_pow_right (by decide) (by omega)
88
- have h2 := min_le_left (min α c/r) (1/2)
89
- change k ≤ min α c/r at h2
90
- rw [le_div_iff₀ h0,mul_comm k] at h2
91
- exact (mul_le_mul_of_nonneg_right (by exact_mod_cast h1) hk.le).trans h2
92
- obtain ⟨F,hF',hF⟩ := divide_progress hw c (k^i) α k hc hk (by linarith)
93
- (pow_pos hk _) (pow_le_one₀ hk.le hk') ht f hf hz w hw' hwv
94
- let E : (Fin t×Bool)≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [pow_succ,t])
95
- refine ⟨E ∘ F,?_,?_⟩
96
- · rw [←map_nested,pow_succ' k]; exact stamina_equiv _ E _ hF'
97
- rw [budget_equiv,Nat.cast_add,Nat.cast_one]; linarith only [hF,hB]
98
- obtain ⟨f,hf,hf'⟩ := hstep D le_rfl
99
- have he' : stamina (mapW unif f) δ := fun i hi => (min_le_right ..).trans (hf i hi)
100
- have hz := hV _ (f:=f) (by simp; unfold r; rw [pow_succ]; omega) he'
101
- exact (not_lt_of_ge (le_trans hf' hz)) hd
102
- end HadwigerCounterexample
103
-
104
- end
105
-
106
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RoundedRefinements
2
+
3
+ namespace OAI
4
+
5
+ /-! # Projection Nets -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Filter Matrix Real Function
10
+ open scoped BigOperators
11
+ variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
+
13
+ theorem stamina_equiv (p : Wgt A) (e : A≃C) (a : ℝ)
14
+ (h : stamina p a) :
15
+ stamina (mapW p e) a := by
16
+ intro i hi; rw [mapW_equiv_val] at *
17
+ exact h _ hi
18
+
19
+ theorem tension_equiv (p q : Wgt A) (e : A≃C) :
20
+ tension (mapW p e) (mapW q e)=tension p q := by
21
+ unfold tension
22
+ rw [mapW_avg]
23
+ simp_rw [mapW_equiv_val,Equiv.symm_apply_apply]
24
+
25
+ theorem budget_equiv (μ : Wgt A) (p : A → Wgt B) (f : B→C) (e : C≃D) :
26
+ budget μ p (e ∘ f)=budget μ p f := by
27
+ unfold budget
28
+ simp_rw [←map_nested f _,tension_equiv]
29
+
30
+ def ample (μ : Wgt A) (p : A→Wgt B) (r : ℕ) (ε : ℝ) :=
31
+ ∃ t : ℕ,t ≤ r ∧ ∃ f : B → Fin t,∀ w,catalog μ p w →
32
+ varOne w (bucket unif f w) ≤ ε
33
+
34
+ set_option maxHeartbeats 800000 in
35
+ theorem ample_thresh (V ε : ℝ) (hε : 0<ε) :
36
+ ∃ (r : ℕ) (δ : ℝ),0<δ ∧ ∀ (A B : Type) [Fintype A] [Fintype B] [Nonempty B]
37
+ (μ : Wgt A) (p : A→ Wgt B), Ultra μ p →
38
+ tariffs μ p r δ V → ample μ p r ε := by
39
+ classical
40
+ let c := ε/8
41
+ have hc : 0<c := by positivity
42
+ obtain ⟨α,hα,hα',hh⟩ := ui_threshold V c hc
43
+ obtain ⟨D,hD⟩ := exists_nat_gt (max 0 (V/c^2))
44
+ have hd := (max_lt_iff.mp hD).2
45
+ rw [div_lt_iff₀ (by positivity)] at hd
46
+ let r := 2^(D+1)
47
+ have h0 : 0<(r:ℝ) := by unfold r; positivity
48
+ let k := min (min α c/r) (1/2)
49
+ have hk : 0<k := lt_min (div_pos (lt_min hα hc) h0) (by norm_num)
50
+ have hk0 : k≤1/2 := min_le_right ..
51
+ have hk' : k≤1 := le_trans hk0 (by norm_num)
52
+ let δ := min α (k^D)
53
+ have hδ : 0<δ := lt_min hα (pow_pos hk D)
54
+ refine ⟨r,δ,hδ,fun A B _ _ _ μ p hw hV => ?_⟩
55
+ let e : Wgt B := unif
56
+ have he : IsLaw e := unif_law
57
+ by_contra h
58
+ have hr2 : 2≤r := by
59
+ unfold r; rw [pow_succ]
60
+ have : 0<2^D := by positivity
61
+ omega
62
+ have ht := hh A B μ p hw (tariffs_monotone hV hr2 (min_le_left ..))
63
+ have hstep (n : ℕ) (hn : n≤ D) :
64
+ ∃ f : B → Fin (2^n), stamina (mapW e f) (k^n) ∧
65
+ ↑n*c^2 ≤ budget μ p f := by
66
+ induction n with
67
+ | zero =>
68
+ let f := fun _ : B => (0 : Fin (2^0))
69
+ refine ⟨f,?_,by simpa using budget_nonneg hw f⟩
70
+ intro i hi
71
+ have hi : i = 0 := by
72
+ have hh := i.isLt; norm_num at hh
73
+ exact Fin.ext (by simp only [Fin.val_zero]; omega)
74
+ subst i; change 1 ≤ pr e (fun x => f x=0)
75
+ simp [f,he.total]
76
+ | succ i ih =>
77
+ obtain ⟨f,hf,hB⟩ := ih (by omega)
78
+ let t := 2^i
79
+ have he' : ∃ w,catalog μ p w ∧ 8*c<varOne w (bucket unif f w) := by
80
+ by_contra! hh
81
+ apply h; refine ⟨t,Nat.pow_le_pow_right (by decide) (by omega),f,?_⟩
82
+ rwa [show 8*c=ε by unfold c; ring] at hh
83
+ obtain ⟨w,hw',hwv⟩ := he'
84
+ have hz : num (Fin t × Bool)*k ≤ min α c := by
85
+ have h1 : Fintype.card (Fin t × Bool) ≤ r :=
86
+ calc _ = 2^(i+1) := by simp [pow_succ,t]
87
+ _ ≤ r := Nat.pow_le_pow_right (by decide) (by omega)
88
+ have h2 := min_le_left (min α c/r) (1/2)
89
+ change k ≤ min α c/r at h2
90
+ rw [le_div_iff₀ h0,mul_comm k] at h2
91
+ exact (mul_le_mul_of_nonneg_right (by exact_mod_cast h1) hk.le).trans h2
92
+ obtain ⟨F,hF',hF⟩ := divide_progress hw c (k^i) α k hc hk (by linarith)
93
+ (pow_pos hk _) (pow_le_one₀ hk.le hk') ht f hf hz w hw' hwv
94
+ let E : (Fin t×Bool)≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [pow_succ,t])
95
+ refine ⟨E ∘ F,?_,?_⟩
96
+ · rw [←map_nested,pow_succ' k]; exact stamina_equiv _ E _ hF'
97
+ rw [budget_equiv,Nat.cast_add,Nat.cast_one]; linarith only [hF,hB]
98
+ obtain ⟨f,hf,hf'⟩ := hstep D le_rfl
99
+ have he' : stamina (mapW unif f) δ := fun i hi => (min_le_right ..).trans (hf i hi)
100
+ have hz := hV _ (f:=f) (by simp; unfold r; rw [pow_succ]; omega) he'
101
+ exact (not_lt_of_ge (le_trans hf' hz)) hd
102
+ end HadwigerCounterexample
103
+
104
+ end
105
+
106
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/QuadraticFourier.lean CHANGED
@@ -1,83 +1,83 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FreeBlockFourier
2
-
3
- namespace OAI
4
-
5
- /-! # Quadratic Fourier -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix Module LinearMap Submodule Function Finset
11
- variable {I J : Type} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
12
-
13
- theorem phase_trans (t : Vec I) (f : Wgt (Vec I)) :
14
- avg unif (fun y => f (y+t))=avg unif f := by
15
- let E : Vec I ≃ Vec I := ⟨(·+t),(·+t),add_polar t,add_polar t⟩
16
- exact avg_bij E unif f
17
-
18
- theorem half_power (x a : ℝ) (ha : x^2 ≤ bp a) : |x|≤ bp (a/2) :=
19
- le_of_pow_le_pow_left₀ (by decide : 2≠0) (bp_pos _).le (by
20
- rw [sq_abs,pow_two (bp _),←bp_add,show a/2+a/2=a by ring]; exact ha)
21
-
22
- def polarize (f : Vec I→F) (M : Mat I I) :=
23
- ∀ x y,f (x+y)+f x=f y+f 0+dotProduct y (M *ᵥ x)
24
-
25
- set_option maxHeartbeats 600000 in
26
- theorem flare_rank (f : Vec I→F) (M : Mat I I) (h : polarize f M) :
27
- |avg unif (fun x => wsign (f x))| ≤ bp (-(M.rank:ℝ)/2) := by
28
- classical
29
- let g (x : Vec I) := wsign (f x)
30
- have hh :
31
- avg unif g ^ 2 = avg unif (fun x : Vec I => avg unif (fun y : Vec I =>
32
- g (x+y)*g y)) := by
33
- have hi (i : Vec I) : avg unif (fun x => g (x+i)*g i)=avg unif g*g i := by
34
- rw [avg_mul,phase_trans]
35
- rw [avg_avg]; simp_rw [hi,avg_mul']
36
- ring
37
- let L := Mᵀ
38
- have hg x y : g (x+y)*g y= wsign (f x+f 0)*wsign (dotL (L *ᵥ x) y) := by
39
- unfold g; rw [← wsign_add,← wsign_add,add_comm x y,h y x]
40
- unfold L
41
- congr 2
42
- change dotProduct x (M *ᵥ y)=dotProduct _ y
43
- rw [dotProduct_comm _ y,dotProduct_transpose_mulVec]
44
- have hi (x : Vec I) :
45
- avg unif (fun y : Vec I => g (x+y)*g y) ≤ ind ((L *ᵥ x)=0) := by
46
- simp_rw [hg x,avg_mul',wsign_lin]
47
- have he : dotL (L *ᵥ x)=0 ↔ L *ᵥ x=0 := by
48
- constructor
49
- · exact fun h => dot_ext_zero fun y => by rw [dotProduct_comm]; exact LinearMap.congr_fun h y
50
- intro h; rw [h]; exact LinearMap.ext (fun x => zero_dotProduct x)
51
- rw [he]
52
- exact (mul_le_mul_of_nonneg_right ((le_abs_self _).trans_eq (wsign_abs _))
53
- (ind_nonneg _)).trans_eq (one_mul _)
54
- refine half_power _ _ (?_)
55
- change avg unif g^2≤_
56
- rw [hh]
57
- refine (avg_mono unif_law.nz hi).trans_eq ?_
58
- have he : pr unif (fun x => L.mulVecLin x=0) = _ := pr_unif_lin L.mulVecLin 0
59
- rw [ind_one (LinearMap.range L.mulVecLin).zero_mem,one_mul] at he
60
- change pr unif _=_
61
- exact he.trans (by change bp (-(L.rank:ℝ))=_; rw [show L=Mᵀ from rfl,Matrix.rank_transpose])
62
-
63
- omit [DecidableEq I] [DecidableEq J] in
64
- theorem flare_affine (M : Mat J J) (P : Mat J I) (k : Vec J) (a : F) (i : Vec I) :
65
- let Q := fun x => dotProduct i x + (a + evmat M (P *ᵥ x+k) (P *ᵥ x+k))
66
- polarize Q (pullM P P (M+Mᵀ)) := by
67
- intro Q x y
68
- have he : dotProduct y ((pullM P P (M+Mᵀ)) *ᵥ x)=
69
- evmat M (P *ᵥ y) (P *ᵥ x) + evmat M (P *ᵥ x) (P *ᵥ y) := by
70
- change evmat _ _ _=_
71
- rw [evmat_pull,evmat_addM, evmat_transpose]
72
- rw [he]
73
- unfold Q evmat
74
- simp only [dotProduct_zero,Matrix.mulVec_zero,mulVec_add,dotProduct_add,add_dotProduct,
75
- zero_add]
76
-
77
- ring_nf
78
- simp only [mul_two,char_two,add_zero,zero_add]
79
- end HadwigerCounterexample
80
-
81
- end
82
-
83
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FreeBlockFourier
2
+
3
+ namespace OAI
4
+
5
+ /-! # Quadratic Fourier -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix Module LinearMap Submodule Function Finset
11
+ variable {I J : Type} [Fintype I] [Fintype J] [DecidableEq I] [DecidableEq J]
12
+
13
+ theorem phase_trans (t : Vec I) (f : Wgt (Vec I)) :
14
+ avg unif (fun y => f (y+t))=avg unif f := by
15
+ let E : Vec I ≃ Vec I := ⟨(·+t),(·+t),add_polar t,add_polar t⟩
16
+ exact avg_bij E unif f
17
+
18
+ theorem half_power (x a : ℝ) (ha : x^2 ≤ bp a) : |x|≤ bp (a/2) :=
19
+ le_of_pow_le_pow_left₀ (by decide : 2≠0) (bp_pos _).le (by
20
+ rw [sq_abs,pow_two (bp _),←bp_add,show a/2+a/2=a by ring]; exact ha)
21
+
22
+ def polarize (f : Vec I→F) (M : Mat I I) :=
23
+ ∀ x y,f (x+y)+f x=f y+f 0+dotProduct y (M *ᵥ x)
24
+
25
+ set_option maxHeartbeats 600000 in
26
+ theorem flare_rank (f : Vec I→F) (M : Mat I I) (h : polarize f M) :
27
+ |avg unif (fun x => wsign (f x))| ≤ bp (-(M.rank:ℝ)/2) := by
28
+ classical
29
+ let g (x : Vec I) := wsign (f x)
30
+ have hh :
31
+ avg unif g ^ 2 = avg unif (fun x : Vec I => avg unif (fun y : Vec I =>
32
+ g (x+y)*g y)) := by
33
+ have hi (i : Vec I) : avg unif (fun x => g (x+i)*g i)=avg unif g*g i := by
34
+ rw [avg_mul,phase_trans]
35
+ rw [avg_avg]; simp_rw [hi,avg_mul']
36
+ ring
37
+ let L := Mᵀ
38
+ have hg x y : g (x+y)*g y= wsign (f x+f 0)*wsign (dotL (L *ᵥ x) y) := by
39
+ unfold g; rw [← wsign_add,← wsign_add,add_comm x y,h y x]
40
+ unfold L
41
+ congr 2
42
+ change dotProduct x (M *ᵥ y)=dotProduct _ y
43
+ rw [dotProduct_comm _ y,dotProduct_transpose_mulVec]
44
+ have hi (x : Vec I) :
45
+ avg unif (fun y : Vec I => g (x+y)*g y) ≤ ind ((L *ᵥ x)=0) := by
46
+ simp_rw [hg x,avg_mul',wsign_lin]
47
+ have he : dotL (L *ᵥ x)=0 ↔ L *ᵥ x=0 := by
48
+ constructor
49
+ · exact fun h => dot_ext_zero fun y => by rw [dotProduct_comm]; exact LinearMap.congr_fun h y
50
+ intro h; rw [h]; exact LinearMap.ext (fun x => zero_dotProduct x)
51
+ rw [he]
52
+ exact (mul_le_mul_of_nonneg_right ((le_abs_self _).trans_eq (wsign_abs _))
53
+ (ind_nonneg _)).trans_eq (one_mul _)
54
+ refine half_power _ _ (?_)
55
+ change avg unif g^2≤_
56
+ rw [hh]
57
+ refine (avg_mono unif_law.nz hi).trans_eq ?_
58
+ have he : pr unif (fun x => L.mulVecLin x=0) = _ := pr_unif_lin L.mulVecLin 0
59
+ rw [ind_one (LinearMap.range L.mulVecLin).zero_mem,one_mul] at he
60
+ change pr unif _=_
61
+ exact he.trans (by change bp (-(L.rank:ℝ))=_; rw [show L=Mᵀ from rfl,Matrix.rank_transpose])
62
+
63
+ omit [DecidableEq I] [DecidableEq J] in
64
+ theorem flare_affine (M : Mat J J) (P : Mat J I) (k : Vec J) (a : F) (i : Vec I) :
65
+ let Q := fun x => dotProduct i x + (a + evmat M (P *ᵥ x+k) (P *ᵥ x+k))
66
+ polarize Q (pullM P P (M+Mᵀ)) := by
67
+ intro Q x y
68
+ have he : dotProduct y ((pullM P P (M+Mᵀ)) *ᵥ x)=
69
+ evmat M (P *ᵥ y) (P *ᵥ x) + evmat M (P *ᵥ x) (P *ᵥ y) := by
70
+ change evmat _ _ _=_
71
+ rw [evmat_pull,evmat_addM, evmat_transpose]
72
+ rw [he]
73
+ unfold Q evmat
74
+ simp only [dotProduct_zero,Matrix.mulVec_zero,mulVec_add,dotProduct_add,add_dotProduct,
75
+ zero_add]
76
+
77
+ ring_nf
78
+ simp only [mul_two,char_two,add_zero,zero_add]
79
+ end HadwigerCounterexample
80
+
81
+ end
82
+
83
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/QuadraticTesters.lean CHANGED
@@ -1,163 +1,163 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.MomentCoordinates
2
-
3
- namespace OAI
4
-
5
- /-! # Quadratic Testers -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix
10
- open scoped BigOperators
11
-
12
- theorem pair_outers {I J : Type} [Fintype I] [Fintype J] (x x' : Vec I) (y y' : Vec J) :
13
- mpair (vecMulVec x y) (vecMulVec x' y') =
14
- dotProduct x x' * dotProduct y y' := by
15
- simp only [mpair, dotProduct,vecMulVec_apply,LinearMap.coe_mk,AddHom.coe_mk,
16
- Finset.sum_mul,Finset.mul_sum]
17
- rw [Finset.sum_comm]
18
- refine Finset.sum_congr rfl fun i _ => ?_
19
- refine Finset.sum_congr rfl fun j _ => ?_
20
- ring
21
-
22
- theorem mpair_sum {I J : Type} [Fintype I] [Fintype J] (m : Mat I J)
23
- {α : Type*} (s : Finset α) (f : α → Mat I J) :
24
- mpair (∑ i ∈ s, f i) m = ∑ i ∈ s, mpair (f i) m := by
25
- rw [mpair_comm,map_sum]
26
- exact Finset.sum_congr rfl fun i _ => mpair_comm _ _
27
-
28
- theorem mpair_add {I J : Type} [Fintype I] [Fintype J] (A B M : Mat I J) :
29
- mpair (A+B) M = mpair A M + mpair B M := by rw [mpair_comm,map_add,mpair_comm M,mpair_comm M]
30
-
31
- theorem mpair_smul {I J : Type} [Fintype I] [Fintype J] (b : F) (A M : Mat I J) :
32
- mpair (b • A) M = b * mpair A M := by rw [mpair_comm,map_smul,mpair_comm M, smul_eq_mul]
33
-
34
- variable (p : Shape)
35
-
36
- def pick (n : ℕ) (u : SelIdx p.b p.j) (d : Block p.g) (i : ℕ) : Ray p n :=
37
- if h : i < n then Pi.single (u,some (d,⟨i,h⟩)) 1 else 0
38
-
39
- def readBit {n g} (z : Base g n) (d : Block g) (i : ℕ) : F :=
40
- if h : i < n then z (d,⟨i,h⟩) else 0
41
-
42
- def testM (n : ℕ) (d : Block p.g) : Moment p n :=
43
- ∑ i : Fin p.r, vecMulVec (pick p n emptySel d (2*i.val))
44
- (pick p n emptySel d (2*i.val+1))
45
-
46
- def etab (n) (d : Block p.g) : Moment p n →ₗ[F] F := mpair (testM p n d)
47
-
48
- def test (n : ℕ) (d : Block p.g) (z z' : Base p.g n) : F :=
49
- ∑ i : Fin p.r, readBit z d (2*i.val) * readBit z' d (2*i.val+1)
50
-
51
- theorem pick_point {n} (s) (z : Base p.g n) (u : SelIdx p.b p.j)
52
- (d : Block p.g) (i : ℕ) :
53
- dotProduct (pick p n u d i) (point p s z) = selV _ s u * readBit z d i := by
54
- by_cases hi : i < n
55
- · rw [pick,dite_eq_left hi,single_one_dotProduct,readBit,dite_eq_left hi]; rfl
56
- · rw [pick,dite_eq_right hi,zero_dotProduct, readBit,dite_eq_right hi,mul_zero]
57
-
58
- theorem etab_point {n} (d : Block p.g) (s s') (z z' : Base p.g n) :
59
- etab p n d (vecMulVec (point p s z) (point p s' z')) = test p n d z z' := by
60
- unfold etab testM test
61
- simp only [mpair_sum,pair_outers,pick_point]
62
- simp [selV,emptySel]
63
-
64
- theorem etab_disabled {n} {l d : Tag p.g} (h : ¬allowed d l) (t : Tag p.g)
65
- {m : Moment p n} (hm : m ∈ Wtag p n l) :
66
- etab p n (Block.O d t) m = 0 := by
67
- unfold Wtag at hm
68
- induction hm using Submodule.span_induction with
69
- | mem m hm =>
70
- obtain ⟨s,z,hz,rfl⟩ := hm
71
- rw [mom,etab_point]
72
- have h' (i : ℕ) : readBit z (Block.O d t) i = 0 := by
73
- simp [readBit,hz d t h]
74
- simp only [test,h',mul_zero,Finset.sum_const_zero]
75
- | zero => rw [map_zero]
76
- | add _ _ _ _ h g => rw [map_add,h,g,add_zero]
77
- | smul _ _ _ h => rw [map_smul,h,smul_zero]
78
-
79
- /-- all O testers. -/
80
- def etaO (n) : Moment p n →ₗ[F] F :=
81
- ∑ (d : Tag p.g), ∑ (t : Tag p.g), etab p n (Block.O d t)
82
-
83
- def eta (n) : Moment p n →ₗ[F] F := etaO p n + etab p n Block.S
84
-
85
- /-- a_t read on full ambient profile using allowed tags with partner d. -/
86
- def roleT (n : ℕ) (t : Tag p.g) : Profile p n →ₗ[F] F :=
87
- ∑ (l : Tag p.g), ∑ d ∈ Finset.univ.filter (fun d => allowed d l),
88
- etab p n (Block.O d t) ∘ₗ getPair p n l d
89
-
90
- theorem roleT_cut {n} (t : Tag p.g) (w : Tag p.g → Moment p n)
91
- (hw : ∀ i, w i ∈ Wtag p n i) :
92
- roleT p n t (cut p n w) =
93
- ∑ (l : Tag p.g), ∑ (d : Tag p.g), etab p n (Block.O d t) (w l) := by
94
- simp only [roleT,LinearMap.sum_apply,LinearMap.comp_apply,getPair_cut,map_add]
95
- refine Finset.sum_congr rfl fun l _ => ?_
96
- rw [Finset.sum_filter]
97
- refine Finset.sum_congr rfl fun d _ => ?_
98
- by_cases h : allowed d l
99
- · rw [ite_eq_left h,etab_disabled p (not_allowed d) t (hw d),add_zero]
100
- · rw [ite_eq_right h,etab_disabled p h t (hw l)]
101
-
102
- def role (n : ℕ) := ∑ t : Tag p.g, roleT p n t
103
-
104
- theorem role_cut {n} (w : Tag p.g → Moment p n) (hw : ∀ i,w i ∈ Wtag p n i) :
105
- role p n (cut p n w) = ∑ i, etaO p n (w i) := by
106
- simp only [role,LinearMap.sum_apply,roleT_cut _ _ _ hw]
107
- rw [Finset.sum_comm]
108
- refine Finset.sum_congr rfl fun l _ => ?_
109
- rw [Finset.sum_comm]
110
- simp only [etaO,LinearMap.sum_apply]
111
-
112
- /-- b_t read on the full ambient profile. -/
113
- def sharedT (n : ℕ) (t : Tag p.g) : Profile p n →ₗ[F] F :=
114
- ∑ (l : Tag p.g), etab p n Block.S ∘ₗ getPair p n l t
115
-
116
- theorem sharedT_cut {n} (hg : Odd p.g) (t : Tag p.g) (w : Tag p.g → Moment p n) :
117
- sharedT p n t (cut p n w) =
118
- (∑ i, etab p n Block.S (w i)) + etab p n Block.S (w t) := by
119
- simp only [sharedT,LinearMap.sum_apply,LinearMap.comp_apply,getPair_cut,map_add,
120
- Finset.sum_add_distrib,Finset.sum_const, Finset.card_univ]
121
- simp [Tag,odd_smul_bit hg]
122
-
123
- def sharpPick (n : ℕ) (a : Fin p.b) (i : Fin n) : Ray p n :=
124
- if h : 1 ≤ p.j then pick p n ⟨{a},by simp [h]⟩ Block.sharp i.val else 0
125
-
126
- def sharpM (n : ℕ) (Y : Fin p.b → Mat (Fin n) (Fin n)) : Moment p n :=
127
- ∑ a : Fin p.b, ∑ i : Fin n, ∑ j : Fin n,
128
- Y a i j • (vecMulVec (sharpPick p n a i) (pick p n emptySel Block.sharp j.val) +
129
- vecMulVec (pick p n emptySel Block.sharp i.val) (sharpPick p n a j))
130
-
131
- theorem sharpM_point {n} (hj : 1 ≤ p.j) (Y) (s s') (z z' : Base p.g n) :
132
- mpair (sharpM p n Y) (vecMulVec (point p s z) (point p s' z')) =
133
- ∑ a : Fin p.b, (s a + s' a) *
134
- evmat (Y a) (fun i => z (Block.sharp,i)) (fun i => z' (Block.sharp,i)) := by
135
- simp only [sharpM,mpair_sum,mpair_smul,mpair_add,pair_outers,
136
- sharpPick,dite_eq_left hj,pick_point,readBit,dite_eq_left (Fin.isLt _)]
137
- simp [selV,emptySel,evmat,dotProduct,mulVec,Finset.mul_sum]
138
- refine Finset.sum_congr rfl fun a _ => Finset.sum_congr rfl fun i _ =>
139
- Finset.sum_congr rfl fun j _ => ?_
140
- ring
141
-
142
- def selfM (n) (Y : Fin p.b → Mat (Fin n) (Fin n)) : Moment p n :=
143
- ((∑ d : Tag p.g, ∑ t : Tag p.g, testM p n (Block.O d t)) +
144
- testM p n Block.S) + sharpM p n Y
145
-
146
- theorem selfM_pair {n} (hj : 1 ≤ p.j) (Y) {m : Moment p n} (hm : m ∈ Wspace p n) :
147
- mpair (selfM p n Y) m = eta p n m := by
148
- unfold Wspace at hm
149
- induction hm using Submodule.span_induction with
150
- | mem m h =>
151
- obtain ⟨s,z,rfl⟩ := h
152
- simp only [selfM,mpair_sum,mpair_add,mom,sharpM_point p hj,char_two,zero_mul,
153
- Finset.sum_const_zero, add_zero,eta,etaO,etab,LinearMap.add_apply,
154
- LinearMap.sum_apply]
155
- | zero => simp only [map_zero]
156
- | add _ _ _ _ h g => rw [map_add,h,g,map_add]
157
- | smul _ _ _ h => rw [map_smul,h,map_smul]
158
-
159
- end HadwigerCounterexample
160
-
161
- end
162
-
163
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.MomentCoordinates
2
+
3
+ namespace OAI
4
+
5
+ /-! # Quadratic Testers -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix
10
+ open scoped BigOperators
11
+
12
+ theorem pair_outers {I J : Type} [Fintype I] [Fintype J] (x x' : Vec I) (y y' : Vec J) :
13
+ mpair (vecMulVec x y) (vecMulVec x' y') =
14
+ dotProduct x x' * dotProduct y y' := by
15
+ simp only [mpair, dotProduct,vecMulVec_apply,LinearMap.coe_mk,AddHom.coe_mk,
16
+ Finset.sum_mul,Finset.mul_sum]
17
+ rw [Finset.sum_comm]
18
+ refine Finset.sum_congr rfl fun i _ => ?_
19
+ refine Finset.sum_congr rfl fun j _ => ?_
20
+ ring
21
+
22
+ theorem mpair_sum {I J : Type} [Fintype I] [Fintype J] (m : Mat I J)
23
+ {α : Type*} (s : Finset α) (f : α → Mat I J) :
24
+ mpair (∑ i ∈ s, f i) m = ∑ i ∈ s, mpair (f i) m := by
25
+ rw [mpair_comm,map_sum]
26
+ exact Finset.sum_congr rfl fun i _ => mpair_comm _ _
27
+
28
+ theorem mpair_add {I J : Type} [Fintype I] [Fintype J] (A B M : Mat I J) :
29
+ mpair (A+B) M = mpair A M + mpair B M := by rw [mpair_comm,map_add,mpair_comm M,mpair_comm M]
30
+
31
+ theorem mpair_smul {I J : Type} [Fintype I] [Fintype J] (b : F) (A M : Mat I J) :
32
+ mpair (b • A) M = b * mpair A M := by rw [mpair_comm,map_smul,mpair_comm M, smul_eq_mul]
33
+
34
+ variable (p : Shape)
35
+
36
+ def pick (n : ℕ) (u : SelIdx p.b p.j) (d : Block p.g) (i : ℕ) : Ray p n :=
37
+ if h : i < n then Pi.single (u,some (d,⟨i,h⟩)) 1 else 0
38
+
39
+ def readBit {n g} (z : Base g n) (d : Block g) (i : ℕ) : F :=
40
+ if h : i < n then z (d,⟨i,h⟩) else 0
41
+
42
+ def testM (n : ℕ) (d : Block p.g) : Moment p n :=
43
+ ∑ i : Fin p.r, vecMulVec (pick p n emptySel d (2*i.val))
44
+ (pick p n emptySel d (2*i.val+1))
45
+
46
+ def etab (n) (d : Block p.g) : Moment p n →ₗ[F] F := mpair (testM p n d)
47
+
48
+ def test (n : ℕ) (d : Block p.g) (z z' : Base p.g n) : F :=
49
+ ∑ i : Fin p.r, readBit z d (2*i.val) * readBit z' d (2*i.val+1)
50
+
51
+ theorem pick_point {n} (s) (z : Base p.g n) (u : SelIdx p.b p.j)
52
+ (d : Block p.g) (i : ℕ) :
53
+ dotProduct (pick p n u d i) (point p s z) = selV _ s u * readBit z d i := by
54
+ by_cases hi : i < n
55
+ · rw [pick,dite_eq_left hi,single_one_dotProduct,readBit,dite_eq_left hi]; rfl
56
+ · rw [pick,dite_eq_right hi,zero_dotProduct, readBit,dite_eq_right hi,mul_zero]
57
+
58
+ theorem etab_point {n} (d : Block p.g) (s s') (z z' : Base p.g n) :
59
+ etab p n d (vecMulVec (point p s z) (point p s' z')) = test p n d z z' := by
60
+ unfold etab testM test
61
+ simp only [mpair_sum,pair_outers,pick_point]
62
+ simp [selV,emptySel]
63
+
64
+ theorem etab_disabled {n} {l d : Tag p.g} (h : ¬allowed d l) (t : Tag p.g)
65
+ {m : Moment p n} (hm : m ∈ Wtag p n l) :
66
+ etab p n (Block.O d t) m = 0 := by
67
+ unfold Wtag at hm
68
+ induction hm using Submodule.span_induction with
69
+ | mem m hm =>
70
+ obtain ⟨s,z,hz,rfl⟩ := hm
71
+ rw [mom,etab_point]
72
+ have h' (i : ℕ) : readBit z (Block.O d t) i = 0 := by
73
+ simp [readBit,hz d t h]
74
+ simp only [test,h',mul_zero,Finset.sum_const_zero]
75
+ | zero => rw [map_zero]
76
+ | add _ _ _ _ h g => rw [map_add,h,g,add_zero]
77
+ | smul _ _ _ h => rw [map_smul,h,smul_zero]
78
+
79
+ /-- all O testers. -/
80
+ def etaO (n) : Moment p n →ₗ[F] F :=
81
+ ∑ (d : Tag p.g), ∑ (t : Tag p.g), etab p n (Block.O d t)
82
+
83
+ def eta (n) : Moment p n →ₗ[F] F := etaO p n + etab p n Block.S
84
+
85
+ /-- a_t read on full ambient profile using allowed tags with partner d. -/
86
+ def roleT (n : ℕ) (t : Tag p.g) : Profile p n →ₗ[F] F :=
87
+ ∑ (l : Tag p.g), ∑ d ∈ Finset.univ.filter (fun d => allowed d l),
88
+ etab p n (Block.O d t) ∘ₗ getPair p n l d
89
+
90
+ theorem roleT_cut {n} (t : Tag p.g) (w : Tag p.g → Moment p n)
91
+ (hw : ∀ i, w i ∈ Wtag p n i) :
92
+ roleT p n t (cut p n w) =
93
+ ∑ (l : Tag p.g), ∑ (d : Tag p.g), etab p n (Block.O d t) (w l) := by
94
+ simp only [roleT,LinearMap.sum_apply,LinearMap.comp_apply,getPair_cut,map_add]
95
+ refine Finset.sum_congr rfl fun l _ => ?_
96
+ rw [Finset.sum_filter]
97
+ refine Finset.sum_congr rfl fun d _ => ?_
98
+ by_cases h : allowed d l
99
+ · rw [ite_eq_left h,etab_disabled p (not_allowed d) t (hw d),add_zero]
100
+ · rw [ite_eq_right h,etab_disabled p h t (hw l)]
101
+
102
+ def role (n : ℕ) := ∑ t : Tag p.g, roleT p n t
103
+
104
+ theorem role_cut {n} (w : Tag p.g → Moment p n) (hw : ∀ i,w i ∈ Wtag p n i) :
105
+ role p n (cut p n w) = ∑ i, etaO p n (w i) := by
106
+ simp only [role,LinearMap.sum_apply,roleT_cut _ _ _ hw]
107
+ rw [Finset.sum_comm]
108
+ refine Finset.sum_congr rfl fun l _ => ?_
109
+ rw [Finset.sum_comm]
110
+ simp only [etaO,LinearMap.sum_apply]
111
+
112
+ /-- b_t read on the full ambient profile. -/
113
+ def sharedT (n : ℕ) (t : Tag p.g) : Profile p n →ₗ[F] F :=
114
+ ∑ (l : Tag p.g), etab p n Block.S ∘ₗ getPair p n l t
115
+
116
+ theorem sharedT_cut {n} (hg : Odd p.g) (t : Tag p.g) (w : Tag p.g → Moment p n) :
117
+ sharedT p n t (cut p n w) =
118
+ (∑ i, etab p n Block.S (w i)) + etab p n Block.S (w t) := by
119
+ simp only [sharedT,LinearMap.sum_apply,LinearMap.comp_apply,getPair_cut,map_add,
120
+ Finset.sum_add_distrib,Finset.sum_const, Finset.card_univ]
121
+ simp [Tag,odd_smul_bit hg]
122
+
123
+ def sharpPick (n : ℕ) (a : Fin p.b) (i : Fin n) : Ray p n :=
124
+ if h : 1 ≤ p.j then pick p n ⟨{a},by simp [h]⟩ Block.sharp i.val else 0
125
+
126
+ def sharpM (n : ℕ) (Y : Fin p.b → Mat (Fin n) (Fin n)) : Moment p n :=
127
+ ∑ a : Fin p.b, ∑ i : Fin n, ∑ j : Fin n,
128
+ Y a i j • (vecMulVec (sharpPick p n a i) (pick p n emptySel Block.sharp j.val) +
129
+ vecMulVec (pick p n emptySel Block.sharp i.val) (sharpPick p n a j))
130
+
131
+ theorem sharpM_point {n} (hj : 1 ≤ p.j) (Y) (s s') (z z' : Base p.g n) :
132
+ mpair (sharpM p n Y) (vecMulVec (point p s z) (point p s' z')) =
133
+ ∑ a : Fin p.b, (s a + s' a) *
134
+ evmat (Y a) (fun i => z (Block.sharp,i)) (fun i => z' (Block.sharp,i)) := by
135
+ simp only [sharpM,mpair_sum,mpair_smul,mpair_add,pair_outers,
136
+ sharpPick,dite_eq_left hj,pick_point,readBit,dite_eq_left (Fin.isLt _)]
137
+ simp [selV,emptySel,evmat,dotProduct,mulVec,Finset.mul_sum]
138
+ refine Finset.sum_congr rfl fun a _ => Finset.sum_congr rfl fun i _ =>
139
+ Finset.sum_congr rfl fun j _ => ?_
140
+ ring
141
+
142
+ def selfM (n) (Y : Fin p.b → Mat (Fin n) (Fin n)) : Moment p n :=
143
+ ((∑ d : Tag p.g, ∑ t : Tag p.g, testM p n (Block.O d t)) +
144
+ testM p n Block.S) + sharpM p n Y
145
+
146
+ theorem selfM_pair {n} (hj : 1 ≤ p.j) (Y) {m : Moment p n} (hm : m ∈ Wspace p n) :
147
+ mpair (selfM p n Y) m = eta p n m := by
148
+ unfold Wspace at hm
149
+ induction hm using Submodule.span_induction with
150
+ | mem m h =>
151
+ obtain ⟨s,z,rfl⟩ := h
152
+ simp only [selfM,mpair_sum,mpair_add,mom,sharpM_point p hj,char_two,zero_mul,
153
+ Finset.sum_const_zero, add_zero,eta,etaO,etab,LinearMap.add_apply,
154
+ LinearMap.sum_apply]
155
+ | zero => simp only [map_zero]
156
+ | add _ _ _ _ h g => rw [map_add,h,g,map_add]
157
+ | smul _ _ _ h => rw [map_smul,h,map_smul]
158
+
159
+ end HadwigerCounterexample
160
+
161
+ end
162
+
163
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/QueryConcentration.lean CHANGED
@@ -1,172 +1,172 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.GroupedQueryIndependence
2
-
3
- namespace OAI
4
-
5
- /-! # Query Concentration -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Module Matrix Finset Function
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I G A K D : Type} [Fintype I] [Fintype G] [Fintype A]
12
- variable [Fintype K] [Fintype D] [DecidableEq I] [DecidableEq G] [DecidableEq K]
13
-
14
- structure Program (p : Shape) (n : ℕ) {I G : Type} (g : Route I G) (A : Type) where
15
- left : A→NomQuery p n g
16
- right : A→NomQuery p n g
17
-
18
- variable {g : Route I G}
19
-
20
- namespace Program
21
- variable (s : Program p n g A)
22
-
23
- def free (x : K→ A) :=
24
- (∀ i,Injective (pooled (s.left ∘ x) i).mulVec)∧
25
- (∀ i,Injective (pooled (s.right ∘ x) i).mulVec)
26
-
27
- def showKey (x : A) (o : Forum p n N G) :=
28
- peekR p g (s.left x) (s.right x) o
29
-
30
- def oexpect (w : Wgt A) (F : A → Rack I N → ℝ) (o : Forum p n N G) :=
31
- avg w (fun x => F x (s.showKey x o))
32
- end Program
33
-
34
- theorem forum_law (m : Mixer p n) {N : ℕ} (hN : 2*num (Full p n)<N) :
35
- IsLaw (forumLaw m N (G:=G)) :=
36
- prodW_law (fun _ => unifOn_law (framesAt_exists (gramCond_exists m)
37
- (by rw [←two_mul]; simpa only [num,Fintype.card_fin] using hN)))
38
-
39
- theorem avg_bound1 {w : Wgt A} (hw : IsLaw w) (f : Wgt A) (hf : ∀ x,|f x|≤1) :
40
- |avg w f|≤1 := (abs_avg_le hw.nz).trans (hw.avg_le hf)
41
- theorem avg_cross_sq (w : Wgt A) (f : Wgt A) :
42
- avg w f ^ 2=avg (draws Bool w) (fun q => f (q true)* f (q false)) := by
43
- let g (i : Bool) := f
44
- have hh := prodW_avg (fun _ : Bool => w) g
45
- have he : prodW g=(fun q => f (q true)* f (q false)) := by ext; unfold prodW; rw [Fintype.prod_bool]
46
- rw [he,Fintype.prod_bool] at hh; rw [pow_two]; exact hh.symm
47
-
48
- theorem avg_var (w : Wgt A) (f : Wgt A) (hw : IsLaw w) :
49
- avg w (fun x => (f x-avg w f)^2) = avg w (fun x => f x^2) - (avg w f)^2 := by
50
- let g := avg w f
51
- have hh (x) : (f x-g)^2=f x^2-2*g*f x+g^2 := by ring
52
- change avg w (fun x => (f x-g)^2)=_
53
- simp_rw [hh,avg_add,avg_sub,avg_mul',hw.avg_const]
54
- unfold g; ring
55
-
56
- namespace Program
57
- variable {s : Program p n g A}
58
-
59
- set_option maxHeartbeats 800000 in
60
- theorem oVar (m : Mixer p n) (hN : 2*num (Full p n) < N)
61
- (T : A→Wgt (Rack I N))
62
- (w : Wgt A) (hw : IsLaw w) (hT : ∀ i x,|T i x|≤1)
63
- (k : ℝ) (hk : ∀ i,num (Port (tied g Bool) i)≤k)
64
- (hK : 2*k-N≤-1)
65
- (r : ℝ) (hr : pr (draws Bool w) (fun x => ¬ s.free x) ≤ r) :
66
- let v := forumLaw (G:=G) m N
67
- let f := s.oexpect w T
68
- avg v (fun o => (f o-avg v f)^2) ≤
69
- 2*r + 2*netFact (tied g Bool)*twinkle (tied g Bool) k N := by
70
- classical
71
- let v := forumLaw (G:=G) m N
72
- let f := s.oexpect w T
73
- let F (x : A) := fun o => T x (s.showKey x o)
74
- let D := draws Bool w
75
- let B := 2*netFact (tied g Bool)*twinkle (tied g Bool) k N
76
- have hD : IsLaw D := draws_law hw
77
- have hv : IsLaw v := forum_law _ hN
78
- let V (x : Bool→A) := avg v (fun o => F (x true) o * F (x false) o)
79
- let W (x : Bool→A) := avg v (F (x true))*avg v (F (x false))
80
- have hW :
81
- (avg v f)^2 = avg D W := by
82
- unfold f oexpect
83
- rw [avg_avg,avg_cross_sq]
84
- have hV :
85
- avg v (fun x => f x^2) = avg D V := by
86
- unfold f oexpect; simp_rw [avg_cross_sq]; rw [avg_avg]
87
- have hi x :
88
- V x-W x ≤ 2*ind (¬s.free x)+B := by
89
- by_cases he : s.free x
90
- · have hh := pooled_batch (s.left ∘ x) (s.right ∘ x) m hN k hk hK he.1 he.2
91
- (T ∘ x) (fun i y => hT _ _)
92
- simp_rw [Fintype.prod_bool] at hh
93
- rw [ind_zero (fun h => h he),mul_zero,zero_add]
94
- exact (le_abs_self _).trans hh
95
- have h1 (a b : ℝ) (h : |a|≤1) (g : |b|≤1) : |a*b|≤1 := by
96
- rw [abs_mul]
97
- exact (mul_le_mul h g (abs_nonneg _) zero_le_one).trans_eq (by ring)
98
- have hh : |W x|≤1 := h1 _ _ (avg_bound1 hv _ (fun y => hT _ _)) (avg_bound1 hv _
99
- (fun y => hT _ _))
100
- have hg : |V x|≤1 := avg_bound1 hv _ (fun i => h1 _ _ (hT _ _) (hT _ _))
101
- have ht : 0 ≤ twinkle (tied g Bool) k N := add_nonneg (mul_nonneg (Nat.cast_nonneg _)
102
- (mul_nonneg (by norm_num) (bp_pos _).le)) (bp_pos _).le
103
- have h2 : 0 ≤ B := mul_nonneg (mul_nonneg (by norm_num) netFact_pos.le) ht
104
- rw [ind_one he,mul_one]
105
- exact sub_le_iff_le_add.mpr (by linarith [(abs_le.mp hh).1,(abs_le.mp hg).2])
106
- change avg v _ ≤ _
107
- rw [avg_var v f hv,hW,hV,← avg_sub]
108
- apply (avg_mono hD.nz hi).trans
109
- rw [avg_add,avg_mul',hD.avg_const]
110
- exact add_le_add_left (mul_le_mul_of_nonneg_left hr (by norm_num)) _
111
-
112
- def oFreq (w : Wgt A) (F : A → Rack I N→Prop) (o : Forum p n N G)
113
- (s : Program p n g A) :=
114
- pr w (fun i => F i (s.showKey i o))
115
-
116
- set_option maxHeartbeats 800000 in
117
- theorem oTail (m : Mixer p n) (hN : 2*num (Full p n) < N)
118
- (T : A→Rack I N →Prop)
119
- (w : Wgt A) (hw : IsLaw w)
120
- {k : ℝ} {l : ℕ} (hk : ∀ i,num (Port (tied g (Fin l)) i)≤k)
121
- (hK : 2*k-N≤-1)
122
- (r : ℝ) (hr : pr (draws (Fin l) w) (fun x => ¬ s.free x) ≤ r)
123
- {ε : ℝ} (hε : 0 ≤ ε) :
124
- let v := forumLaw (G:=G) m N
125
- let f := (fun o => oFreq w T o s)
126
- (ε^l - r)*pr v (fun x => ε ≤ f x) ≤ netFact (tied g (Fin l))* (avg v f)^l := by
127
- classical
128
- let v := forumLaw (G:=G) m N
129
- let f := (fun o : Forum p n N G => oFreq w T o s)
130
- have hv : IsLaw v := forum_law _ hN
131
- let F := draws (Fin l) w
132
- have hF : IsLaw F := draws_law hw
133
- let P (x) (y : Fin l→A) := ∀ i,T (y i) (s.showKey (y i) x)
134
- have hh (x) : pr F (fun y => P x y)= f x ^ l := by
135
- unfold P F draws
136
- rw [prodW_pr (fun (_ : Fin l) => w) (fun _ i => T i (s.showKey i x))]
137
- simp only [Finset.prod_const, Finset.card_univ,Fintype.card_fin]
138
- rfl
139
- let Q (x : Fin l → A) := s.free x
140
- let S (o) (x : Fin l→A) := P o x ∧ Q x
141
- have hi (o) :
142
- (ε^l-r)*ind (ε≤f o)≤ pr F (S o) := by
143
- by_cases ht : ε≤f o
144
- · rw [ind_one ht,mul_one]
145
- refine (sub_le_sub (pow_le_pow_left₀ hε ht l) hr).trans ?_
146
- rw [←hh]; exact pr_shield hF.nz _ _
147
- rw [ind_zero ht,mul_zero]; exact pr_nonneg hF.nz
148
- let W (x) := pr v (fun i => T x (s.showKey x i))
149
- let C := netFact (tied g (Fin l))
150
- have hq (x : Fin l → A) :
151
- pr v (fun i => S i x) ≤ C*∏ i:Fin l,W (x i) := by
152
- by_cases he : Q x
153
- · have hg := pool_upper (s.left ∘ x) (s.right ∘ x) m hN he.1 he.2
154
- (fun i => by linarith only [hk i,hK]) (T ∘ x)
155
- simp only [S,he,and_true]
156
- exact hg
157
- simp only [S,he,and_false,pr_false]; exact mul_nonneg netFact_pos.le
158
- (Finset.prod_nonneg fun i _ => pr_nonneg hv.nz)
159
- have hg : avg v f=avg w W := avg_avg _ _ _
160
- have he := avg_mono hv.nz hi
161
- rw [avg_mul'] at he
162
- change _ ≤ _
163
- apply le_trans he
164
- calc avg v (fun x => pr F (S x)) = avg F (fun y => pr v (fun x => S x y)) := avg_avg _ _ _
165
- _ ≤ avg F (fun x => C*∏ i,W (x i)) := avg_mono hF.nz hq
166
- _ = netFact _ * (avg v f)^l := by rw [avg_mul',hg, poweravg]
167
- end Program
168
- end HadwigerCounterexample
169
-
170
- end
171
-
172
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.GroupedQueryIndependence
2
+
3
+ namespace OAI
4
+
5
+ /-! # Query Concentration -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Module Matrix Finset Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I G A K D : Type} [Fintype I] [Fintype G] [Fintype A]
12
+ variable [Fintype K] [Fintype D] [DecidableEq I] [DecidableEq G] [DecidableEq K]
13
+
14
+ structure Program (p : Shape) (n : ℕ) {I G : Type} (g : Route I G) (A : Type) where
15
+ left : A→NomQuery p n g
16
+ right : A→NomQuery p n g
17
+
18
+ variable {g : Route I G}
19
+
20
+ namespace Program
21
+ variable (s : Program p n g A)
22
+
23
+ def free (x : K→ A) :=
24
+ (∀ i,Injective (pooled (s.left ∘ x) i).mulVec)∧
25
+ (∀ i,Injective (pooled (s.right ∘ x) i).mulVec)
26
+
27
+ def showKey (x : A) (o : Forum p n N G) :=
28
+ peekR p g (s.left x) (s.right x) o
29
+
30
+ def oexpect (w : Wgt A) (F : A → Rack I N → ℝ) (o : Forum p n N G) :=
31
+ avg w (fun x => F x (s.showKey x o))
32
+ end Program
33
+
34
+ theorem forum_law (m : Mixer p n) {N : ℕ} (hN : 2*num (Full p n)<N) :
35
+ IsLaw (forumLaw m N (G:=G)) :=
36
+ prodW_law (fun _ => unifOn_law (framesAt_exists (gramCond_exists m)
37
+ (by rw [←two_mul]; simpa only [num,Fintype.card_fin] using hN)))
38
+
39
+ theorem avg_bound1 {w : Wgt A} (hw : IsLaw w) (f : Wgt A) (hf : ∀ x,|f x|≤1) :
40
+ |avg w f|≤1 := (abs_avg_le hw.nz).trans (hw.avg_le hf)
41
+ theorem avg_cross_sq (w : Wgt A) (f : Wgt A) :
42
+ avg w f ^ 2=avg (draws Bool w) (fun q => f (q true)* f (q false)) := by
43
+ let g (i : Bool) := f
44
+ have hh := prodW_avg (fun _ : Bool => w) g
45
+ have he : prodW g=(fun q => f (q true)* f (q false)) := by ext; unfold prodW; rw [Fintype.prod_bool]
46
+ rw [he,Fintype.prod_bool] at hh; rw [pow_two]; exact hh.symm
47
+
48
+ theorem avg_var (w : Wgt A) (f : Wgt A) (hw : IsLaw w) :
49
+ avg w (fun x => (f x-avg w f)^2) = avg w (fun x => f x^2) - (avg w f)^2 := by
50
+ let g := avg w f
51
+ have hh (x) : (f x-g)^2=f x^2-2*g*f x+g^2 := by ring
52
+ change avg w (fun x => (f x-g)^2)=_
53
+ simp_rw [hh,avg_add,avg_sub,avg_mul',hw.avg_const]
54
+ unfold g; ring
55
+
56
+ namespace Program
57
+ variable {s : Program p n g A}
58
+
59
+ set_option maxHeartbeats 800000 in
60
+ theorem oVar (m : Mixer p n) (hN : 2*num (Full p n) < N)
61
+ (T : A→Wgt (Rack I N))
62
+ (w : Wgt A) (hw : IsLaw w) (hT : ∀ i x,|T i x|≤1)
63
+ (k : ℝ) (hk : ∀ i,num (Port (tied g Bool) i)≤k)
64
+ (hK : 2*k-N≤-1)
65
+ (r : ℝ) (hr : pr (draws Bool w) (fun x => ¬ s.free x) ≤ r) :
66
+ let v := forumLaw (G:=G) m N
67
+ let f := s.oexpect w T
68
+ avg v (fun o => (f o-avg v f)^2) ≤
69
+ 2*r + 2*netFact (tied g Bool)*twinkle (tied g Bool) k N := by
70
+ classical
71
+ let v := forumLaw (G:=G) m N
72
+ let f := s.oexpect w T
73
+ let F (x : A) := fun o => T x (s.showKey x o)
74
+ let D := draws Bool w
75
+ let B := 2*netFact (tied g Bool)*twinkle (tied g Bool) k N
76
+ have hD : IsLaw D := draws_law hw
77
+ have hv : IsLaw v := forum_law _ hN
78
+ let V (x : Bool→A) := avg v (fun o => F (x true) o * F (x false) o)
79
+ let W (x : Bool→A) := avg v (F (x true))*avg v (F (x false))
80
+ have hW :
81
+ (avg v f)^2 = avg D W := by
82
+ unfold f oexpect
83
+ rw [avg_avg,avg_cross_sq]
84
+ have hV :
85
+ avg v (fun x => f x^2) = avg D V := by
86
+ unfold f oexpect; simp_rw [avg_cross_sq]; rw [avg_avg]
87
+ have hi x :
88
+ V x-W x ≤ 2*ind (¬s.free x)+B := by
89
+ by_cases he : s.free x
90
+ · have hh := pooled_batch (s.left ∘ x) (s.right ∘ x) m hN k hk hK he.1 he.2
91
+ (T ∘ x) (fun i y => hT _ _)
92
+ simp_rw [Fintype.prod_bool] at hh
93
+ rw [ind_zero (fun h => h he),mul_zero,zero_add]
94
+ exact (le_abs_self _).trans hh
95
+ have h1 (a b : ℝ) (h : |a|≤1) (g : |b|≤1) : |a*b|≤1 := by
96
+ rw [abs_mul]
97
+ exact (mul_le_mul h g (abs_nonneg _) zero_le_one).trans_eq (by ring)
98
+ have hh : |W x|≤1 := h1 _ _ (avg_bound1 hv _ (fun y => hT _ _)) (avg_bound1 hv _
99
+ (fun y => hT _ _))
100
+ have hg : |V x|≤1 := avg_bound1 hv _ (fun i => h1 _ _ (hT _ _) (hT _ _))
101
+ have ht : 0 ≤ twinkle (tied g Bool) k N := add_nonneg (mul_nonneg (Nat.cast_nonneg _)
102
+ (mul_nonneg (by norm_num) (bp_pos _).le)) (bp_pos _).le
103
+ have h2 : 0 ≤ B := mul_nonneg (mul_nonneg (by norm_num) netFact_pos.le) ht
104
+ rw [ind_one he,mul_one]
105
+ exact sub_le_iff_le_add.mpr (by linarith [(abs_le.mp hh).1,(abs_le.mp hg).2])
106
+ change avg v _ ≤ _
107
+ rw [avg_var v f hv,hW,hV,← avg_sub]
108
+ apply (avg_mono hD.nz hi).trans
109
+ rw [avg_add,avg_mul',hD.avg_const]
110
+ exact add_le_add_left (mul_le_mul_of_nonneg_left hr (by norm_num)) _
111
+
112
+ def oFreq (w : Wgt A) (F : A → Rack I N→Prop) (o : Forum p n N G)
113
+ (s : Program p n g A) :=
114
+ pr w (fun i => F i (s.showKey i o))
115
+
116
+ set_option maxHeartbeats 800000 in
117
+ theorem oTail (m : Mixer p n) (hN : 2*num (Full p n) < N)
118
+ (T : A→Rack I N →Prop)
119
+ (w : Wgt A) (hw : IsLaw w)
120
+ {k : ℝ} {l : ℕ} (hk : ∀ i,num (Port (tied g (Fin l)) i)≤k)
121
+ (hK : 2*k-N≤-1)
122
+ (r : ℝ) (hr : pr (draws (Fin l) w) (fun x => ¬ s.free x) ≤ r)
123
+ {ε : ℝ} (hε : 0 ≤ ε) :
124
+ let v := forumLaw (G:=G) m N
125
+ let f := (fun o => oFreq w T o s)
126
+ (ε^l - r)*pr v (fun x => ε ≤ f x) ≤ netFact (tied g (Fin l))* (avg v f)^l := by
127
+ classical
128
+ let v := forumLaw (G:=G) m N
129
+ let f := (fun o : Forum p n N G => oFreq w T o s)
130
+ have hv : IsLaw v := forum_law _ hN
131
+ let F := draws (Fin l) w
132
+ have hF : IsLaw F := draws_law hw
133
+ let P (x) (y : Fin l→A) := ∀ i,T (y i) (s.showKey (y i) x)
134
+ have hh (x) : pr F (fun y => P x y)= f x ^ l := by
135
+ unfold P F draws
136
+ rw [prodW_pr (fun (_ : Fin l) => w) (fun _ i => T i (s.showKey i x))]
137
+ simp only [Finset.prod_const, Finset.card_univ,Fintype.card_fin]
138
+ rfl
139
+ let Q (x : Fin l → A) := s.free x
140
+ let S (o) (x : Fin l→A) := P o x ∧ Q x
141
+ have hi (o) :
142
+ (ε^l-r)*ind (ε≤f o)≤ pr F (S o) := by
143
+ by_cases ht : ε≤f o
144
+ · rw [ind_one ht,mul_one]
145
+ refine (sub_le_sub (pow_le_pow_left₀ hε ht l) hr).trans ?_
146
+ rw [←hh]; exact pr_shield hF.nz _ _
147
+ rw [ind_zero ht,mul_zero]; exact pr_nonneg hF.nz
148
+ let W (x) := pr v (fun i => T x (s.showKey x i))
149
+ let C := netFact (tied g (Fin l))
150
+ have hq (x : Fin l → A) :
151
+ pr v (fun i => S i x) ≤ C*∏ i:Fin l,W (x i) := by
152
+ by_cases he : Q x
153
+ · have hg := pool_upper (s.left ∘ x) (s.right ∘ x) m hN he.1 he.2
154
+ (fun i => by linarith only [hk i,hK]) (T ∘ x)
155
+ simp only [S,he,and_true]
156
+ exact hg
157
+ simp only [S,he,and_false,pr_false]; exact mul_nonneg netFact_pos.le
158
+ (Finset.prod_nonneg fun i _ => pr_nonneg hv.nz)
159
+ have hg : avg v f=avg w W := avg_avg _ _ _
160
+ have he := avg_mono hv.nz hi
161
+ rw [avg_mul'] at he
162
+ change _ ≤ _
163
+ apply le_trans he
164
+ calc avg v (fun x => pr F (S x)) = avg F (fun y => pr v (fun x => S x y)) := avg_avg _ _ _
165
+ _ ≤ avg F (fun x => C*∏ i,W (x i)) := avg_mono hF.nz hq
166
+ _ = netFact _ * (avg v f)^l := by rw [avg_mul',hg, poweravg]
167
+ end Program
168
+ end HadwigerCounterexample
169
+
170
+ end
171
+
172
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RandomBinaryMixing.lean CHANGED
@@ -1,120 +1,120 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BinaryEvaluationForms
2
-
3
- namespace OAI
4
-
5
- /-! # Random Binary Mixing -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
-
10
- instance momFintype (p : Shape) (n : ℕ) : Fintype (Moment p n) := inferInstance
11
- instance idxDec (p : Shape) : DecidableEq (MIdx p) := inferInstance
12
- instance arrFintype (p : Shape) (n : ℕ) : Fintype (MArr p n) := inferInstance
13
- instance drawFintype (p : Shape) (n : ℕ) : Fintype (Draw p n) := inferInstance
14
-
15
- open Filter Matrix Function
16
- open scoped BigOperators Topology
17
-
18
- variable {p : Shape} {n : ℕ}
19
-
20
- theorem rank_fifth_bound (m n : ℕ) (hm : n/2≤m) (hn : 100 ≤ n) :
21
- pr unif (fun M : Mat (Fin m) (Fin m) => 5*M.rank<n) ≤ bp (- (n:ℝ)) := by
22
- apply le_trans (pr_mono unif_law.nz (q:=fun M => M.rank≤ n/5) (fun M h => by omega))
23
- refine (pr_matrix_rank _).trans ?_
24
- apply bp_le
25
- simp only [num,Fintype.card_fin]
26
- let r := n/5
27
- have h1 : 5*r≤n := by unfold r; omega
28
- have h2 : n≤2*m+1 := by omega
29
- have h3 : 45≤m := by omega
30
- have hi : (m+m)*r+n≤m*m := by
31
- nlinarith only [h1,h2,h3,
32
- Nat.mul_le_mul_left m h1,Nat.mul_le_mul_left m h2,Nat.mul_le_mul_left m h3]
33
- have hh : ((m:ℝ)+m)*r+n ≤ m*(m:ℝ) := by exact_mod_cast hi
34
- unfold r at hh; linarith only [hh]
35
-
36
- theorem pr_surj_rank {m} (hn : 100≤n) (hm : n/2≤m)
37
- (A : Draw p n →ₗ[F] Mat (Fin m) (Fin m))
38
- (h : Function.Surjective A) :
39
- pr unif (fun x => 5*(A x).rank < n) ≤ bp (- (n:ℝ)) := by
40
- classical
41
- have he := mapW_pr unif A (fun x => 5*x.rank<n)
42
- rw [map_unif_surjective A h] at he
43
- exact he.symm.le.trans (rank_fifth_bound m n hm hn)
44
-
45
- theorem ztest_prob (p : Shape) (s t : Label p.b) (hj : 1≤p.j)
46
- (c : Vec (MBits p)) (b : Vec Bool) (hn : 100≤n) :
47
- pr unif (fun x : Draw p n => s ≠ t ∧ c≠0 ∧
48
- 5*blockRank Block.Z s t (indexedSum (drawn x) c+selfSum (drawn x) b)<n)
49
- ≤ bp (- (n:ℝ)) := by
50
- classical
51
- by_cases h : s≠t ∧ c≠0
52
- · simp only [← and_assoc (a:=s≠t),blockRank,map_add,obsZ_self,add_zero]
53
- refine le_trans (pr_mono unif_law.nz ?_) (pr_surj_rank hn (by omega) (obsZ p n s t c) (obsZ_surj _ _ hj h.1 h.2))
54
- exact fun x hx => hx.2
55
- simp_rw [← and_assoc (a:=s≠t),h,false_and,pr_false]
56
- exact (bp_pos _).le
57
-
58
- theorem stest_prob (p : Shape) (s t : Label p.b) (hj : 1≤p.j)
59
- (b : Vec Bool) (hn : 100≤n) :
60
- pr unif (fun x : Draw p n => s ≠ t ∧ b≠0 ∧
61
- 5*blockRank Block.sharp s t (selfSum (drawn x) b)<n)
62
- ≤ bp (- (n:ℝ)) := by
63
- classical
64
- by_cases h : s≠t ∧ b≠0
65
- · simp only [← and_assoc (a:=s≠t),blockRank,pull_selfPart _ _ hj]
66
- let l := Fin.castLE (show n/2≤n by omega)
67
- let r (i : Fin (n/2)) : Fin n := ⟨n/2+i.val,by have := i.isLt; omega⟩
68
- have he : Function.Surjective (obsHalf p s t b n l r) := by
69
- refine obsHalf_surj _ _ h.1 h.2 _ (Fin.castLE_injective _) (fun i j h => ?_) ?_
70
- · exact Fin.ext (Nat.add_left_cancel (congrArg Fin.val h))
71
- intro i j h
72
- have he : i.val = n/2+j.val := congrArg Fin.val h
73
- have hg := i.isLt; omega
74
- apply le_trans _ (pr_surj_rank hn (by omega) (obsHalf p s t b n l r) he)
75
- refine pr_mono unif_law.nz fun x hx => lt_of_le_of_lt ?_ hx.2
76
- exact Nat.mul_le_mul_left _ ((selfPartial (p:=p) s t b x).rank_submatrix_le l r)
77
- simp_rw [← and_assoc (a:=s≠t),h,false_and,pr_false]
78
- exact (bp_pos _).le
79
-
80
- theorem binary_likely (p : Shape) (hj : 1≤p.j) :
81
- ∀ᶠ n : ℕ in atTop,
82
- pr unif (fun x : Draw p n => ¬binaryGood (drawn x)) < 1/4 := by
83
- classical
84
- let I := Label p.b × Label p.b × Vec (MBits p) × Vec Bool
85
- let J := Label p.b × Label p.b × Vec Bool
86
- let T := I⊕J
87
- let m := num T
88
- have h : Tendsto (fun n:ℕ=>m*bp (- (n:ℝ))) atTop (𝓝 0) := by
89
- have h : Tendsto (fun n:ℕ=>bp (-(1:ℝ)*(n:ℝ))) atTop (𝓝 0) :=
90
- (bp_tendsto_zero zero_lt_one).comp tendsto_natCast_atTop_atTop
91
- simpa using h.const_mul m
92
- filter_upwards [h.eventually (gt_mem_nhds (show (0:ℝ)<1/4 by norm_num)),
93
- eventually_ge_atTop 100] with n hn hg
94
- let bad (i : T) (x : Draw p n) :=
95
- match i with
96
- | .inl (s,t,c,b) => s≠t ∧ c≠0 ∧ 5*blockRank Block.Z s t
97
- (indexedSum (drawn x) c+selfSum (drawn x) b)<n
98
- | .inr (s,t,b) => s≠t ∧ b≠0 ∧ 5*blockRank Block.sharp s t (selfSum (drawn x) b)<n
99
- have he (i : T) : pr unif (bad i) ≤ bp (- (n:ℝ)) := by
100
- rcases i with ⟨s,t,c,b⟩|⟨s,t,b⟩
101
- · exact ztest_prob _ _ _ hj _ _ hg
102
- exact stest_prob _ _ _ hj _ hg
103
- have hi : pr unif (fun x => ∃ i, bad i x) ≤ m*bp (- (n:ℝ)) :=
104
- (pr_exists_le unif_law.nz bad).trans ((Finset.sum_le_sum (fun i _ => he i)).trans_eq (by
105
- rw [Finset.sum_const, Finset.card_univ,nsmul_eq_mul]))
106
- apply lt_of_le_of_lt (le_trans (pr_mono unif_law.nz ?_) hi) hn
107
- intro x hx
108
- by_contra! H
109
- apply hx
110
- intro s t hst
111
- constructor
112
- · intro c b hc
113
- exact le_of_not_gt fun e => H (Sum.inl (s,t,c,b)) ⟨hst,hc,e⟩
114
- intro b hb
115
- exact le_of_not_gt fun e => H (Sum.inr (s,t,b)) ⟨hst,hb,e⟩
116
- end HadwigerCounterexample
117
-
118
- end
119
-
120
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BinaryEvaluationForms
2
+
3
+ namespace OAI
4
+
5
+ /-! # Random Binary Mixing -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+
10
+ instance momFintype (p : Shape) (n : ℕ) : Fintype (Moment p n) := inferInstance
11
+ instance idxDec (p : Shape) : DecidableEq (MIdx p) := inferInstance
12
+ instance arrFintype (p : Shape) (n : ℕ) : Fintype (MArr p n) := inferInstance
13
+ instance drawFintype (p : Shape) (n : ℕ) : Fintype (Draw p n) := inferInstance
14
+
15
+ open Filter Matrix Function
16
+ open scoped BigOperators Topology
17
+
18
+ variable {p : Shape} {n : ℕ}
19
+
20
+ theorem rank_fifth_bound (m n : ℕ) (hm : n/2≤m) (hn : 100 ≤ n) :
21
+ pr unif (fun M : Mat (Fin m) (Fin m) => 5*M.rank<n) ≤ bp (- (n:ℝ)) := by
22
+ apply le_trans (pr_mono unif_law.nz (q:=fun M => M.rank≤ n/5) (fun M h => by omega))
23
+ refine (pr_matrix_rank _).trans ?_
24
+ apply bp_le
25
+ simp only [num,Fintype.card_fin]
26
+ let r := n/5
27
+ have h1 : 5*r≤n := by unfold r; omega
28
+ have h2 : n≤2*m+1 := by omega
29
+ have h3 : 45≤m := by omega
30
+ have hi : (m+m)*r+n≤m*m := by
31
+ nlinarith only [h1,h2,h3,
32
+ Nat.mul_le_mul_left m h1,Nat.mul_le_mul_left m h2,Nat.mul_le_mul_left m h3]
33
+ have hh : ((m:ℝ)+m)*r+n ≤ m*(m:ℝ) := by exact_mod_cast hi
34
+ unfold r at hh; linarith only [hh]
35
+
36
+ theorem pr_surj_rank {m} (hn : 100≤n) (hm : n/2≤m)
37
+ (A : Draw p n →ₗ[F] Mat (Fin m) (Fin m))
38
+ (h : Function.Surjective A) :
39
+ pr unif (fun x => 5*(A x).rank < n) ≤ bp (- (n:ℝ)) := by
40
+ classical
41
+ have he := mapW_pr unif A (fun x => 5*x.rank<n)
42
+ rw [map_unif_surjective A h] at he
43
+ exact he.symm.le.trans (rank_fifth_bound m n hm hn)
44
+
45
+ theorem ztest_prob (p : Shape) (s t : Label p.b) (hj : 1≤p.j)
46
+ (c : Vec (MBits p)) (b : Vec Bool) (hn : 100≤n) :
47
+ pr unif (fun x : Draw p n => s ≠ t ∧ c≠0 ∧
48
+ 5*blockRank Block.Z s t (indexedSum (drawn x) c+selfSum (drawn x) b)<n)
49
+ ≤ bp (- (n:ℝ)) := by
50
+ classical
51
+ by_cases h : s≠t ∧ c≠0
52
+ · simp only [← and_assoc (a:=s≠t),blockRank,map_add,obsZ_self,add_zero]
53
+ refine le_trans (pr_mono unif_law.nz ?_) (pr_surj_rank hn (by omega) (obsZ p n s t c) (obsZ_surj _ _ hj h.1 h.2))
54
+ exact fun x hx => hx.2
55
+ simp_rw [← and_assoc (a:=s≠t),h,false_and,pr_false]
56
+ exact (bp_pos _).le
57
+
58
+ theorem stest_prob (p : Shape) (s t : Label p.b) (hj : 1≤p.j)
59
+ (b : Vec Bool) (hn : 100≤n) :
60
+ pr unif (fun x : Draw p n => s ≠ t ∧ b≠0 ∧
61
+ 5*blockRank Block.sharp s t (selfSum (drawn x) b)<n)
62
+ ≤ bp (- (n:ℝ)) := by
63
+ classical
64
+ by_cases h : s≠t ∧ b≠0
65
+ · simp only [← and_assoc (a:=s≠t),blockRank,pull_selfPart _ _ hj]
66
+ let l := Fin.castLE (show n/2≤n by omega)
67
+ let r (i : Fin (n/2)) : Fin n := ⟨n/2+i.val,by have := i.isLt; omega⟩
68
+ have he : Function.Surjective (obsHalf p s t b n l r) := by
69
+ refine obsHalf_surj _ _ h.1 h.2 _ (Fin.castLE_injective _) (fun i j h => ?_) ?_
70
+ · exact Fin.ext (Nat.add_left_cancel (congrArg Fin.val h))
71
+ intro i j h
72
+ have he : i.val = n/2+j.val := congrArg Fin.val h
73
+ have hg := i.isLt; omega
74
+ apply le_trans _ (pr_surj_rank hn (by omega) (obsHalf p s t b n l r) he)
75
+ refine pr_mono unif_law.nz fun x hx => lt_of_le_of_lt ?_ hx.2
76
+ exact Nat.mul_le_mul_left _ ((selfPartial (p:=p) s t b x).rank_submatrix_le l r)
77
+ simp_rw [← and_assoc (a:=s≠t),h,false_and,pr_false]
78
+ exact (bp_pos _).le
79
+
80
+ theorem binary_likely (p : Shape) (hj : 1≤p.j) :
81
+ ∀ᶠ n : ℕ in atTop,
82
+ pr unif (fun x : Draw p n => ¬binaryGood (drawn x)) < 1/4 := by
83
+ classical
84
+ let I := Label p.b × Label p.b × Vec (MBits p) × Vec Bool
85
+ let J := Label p.b × Label p.b × Vec Bool
86
+ let T := I⊕J
87
+ let m := num T
88
+ have h : Tendsto (fun n:ℕ=>m*bp (- (n:ℝ))) atTop (𝓝 0) := by
89
+ have h : Tendsto (fun n:ℕ=>bp (-(1:ℝ)*(n:ℝ))) atTop (𝓝 0) :=
90
+ (bp_tendsto_zero zero_lt_one).comp tendsto_natCast_atTop_atTop
91
+ simpa using h.const_mul m
92
+ filter_upwards [h.eventually (gt_mem_nhds (show (0:ℝ)<1/4 by norm_num)),
93
+ eventually_ge_atTop 100] with n hn hg
94
+ let bad (i : T) (x : Draw p n) :=
95
+ match i with
96
+ | .inl (s,t,c,b) => s≠t ∧ c≠0 ∧ 5*blockRank Block.Z s t
97
+ (indexedSum (drawn x) c+selfSum (drawn x) b)<n
98
+ | .inr (s,t,b) => s≠t ∧ b≠0 ∧ 5*blockRank Block.sharp s t (selfSum (drawn x) b)<n
99
+ have he (i : T) : pr unif (bad i) ≤ bp (- (n:ℝ)) := by
100
+ rcases i with ⟨s,t,c,b⟩|⟨s,t,b⟩
101
+ · exact ztest_prob _ _ _ hj _ _ hg
102
+ exact stest_prob _ _ _ hj _ hg
103
+ have hi : pr unif (fun x => ∃ i, bad i x) ≤ m*bp (- (n:ℝ)) :=
104
+ (pr_exists_le unif_law.nz bad).trans ((Finset.sum_le_sum (fun i _ => he i)).trans_eq (by
105
+ rw [Finset.sum_const, Finset.card_univ,nsmul_eq_mul]))
106
+ apply lt_of_le_of_lt (le_trans (pr_mono unif_law.nz ?_) hi) hn
107
+ intro x hx
108
+ by_contra! H
109
+ apply hx
110
+ intro s t hst
111
+ constructor
112
+ · intro c b hc
113
+ exact le_of_not_gt fun e => H (Sum.inl (s,t,c,b)) ⟨hst,hc,e⟩
114
+ intro b hb
115
+ exact le_of_not_gt fun e => H (Sum.inr (s,t,b)) ⟨hst,hb,e⟩
116
+ end HadwigerCounterexample
117
+
118
+ end
119
+
120
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RandomLinearTransforms.lean CHANGED
@@ -1,141 +1,141 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FrameRotations
2
-
3
- namespace OAI
4
-
5
- /-! # Random Linear Transforms -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Submodule Finset Function
10
- open scoped BigOperators
11
- variable {I J K : Type} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
12
- [Fintype K] [DecidableEq K]
13
-
14
- namespace Move
15
-
16
- instance finiteMove (I : Type) [Fintype I] [DecidableEq I] : Fintype (Move I) := by
17
- classical
18
- let S := { z : Mat I I × Mat I I // z.1*z.2 = 1 ∧ z.2*z.1=1}
19
- let e : S ≃ Move I := {
20
- toFun z := ⟨z.val.1,z.val.2,z.property.1,z.property.2⟩
21
- invFun z := ⟨(z.L,z.R),z.LR,z.RL⟩
22
- left_inv _ := rfl
23
- right_inv _ := rfl }
24
- exact Fintype.ofEquiv S e
25
-
26
- instance identity_move (I : Type) [Fintype I] [DecidableEq I] : Nonempty (Move I) :=
27
- ⟨1,1, Matrix.one_mul _,Matrix.mul_one _⟩
28
- def combine (c d : Move I) : Move I :=
29
- ⟨c.L*d.L,d.R*c.R,by rw [Matrix.mul_assoc,←Matrix.mul_assoc d.L,d.LR,Matrix.one_mul,c.LR],
30
- by rw [Matrix.mul_assoc,←Matrix.mul_assoc c.R,c.RL,Matrix.one_mul,d.RL]⟩
31
-
32
- @[ext] theorem extn (p q : Move I) (h : p.L=q.L) (h' : p.R=q.R) : p=q := by
33
- cases p; cases q; cases h; cases h'; rfl
34
- def circShift (c : Move I) : Move I≃ Move I where
35
- toFun := combine c
36
- invFun := combine c.sym
37
- left_inv d := extn _ _ (by simp only [combine,sym,←Matrix.mul_assoc,c.RL, Matrix.one_mul])
38
- (by simp only [combine,sym,Matrix.mul_assoc,c.RL, Matrix.mul_one])
39
- right_inv d := extn _ _ (by simp only [combine,sym,←Matrix.mul_assoc,c.LR, Matrix.one_mul])
40
- (by simp only [combine,sym,Matrix.mul_assoc,c.LR, Matrix.mul_one])
41
- def flipLines (I : Type) [Fintype I] [DecidableEq I] : Move I≃ Move I where
42
- toFun := Move.dual
43
- invFun := Move.dual
44
- left_inv _ := rfl
45
- right_inv _ := rfl
46
-
47
- theorem flit_obs (M : Mat I J) (h : Injective M.mulVec) :
48
- mapW unif (fun c : Move I => c.L*M)=unifOn (fun A => Injective A.mulVec) := by
49
- classical
50
- rw [← unifOn_true]
51
- refine uniform_orbit _ (by obtain ⟨i⟩ := identity_move I; exact ⟨i,trivial⟩)
52
- (fun x _ => inj_comp_mat _ _ x.L_inj h) ?_
53
- intro x y hx hy
54
- obtain ⟨c,hc⟩ := move_exists_one hx hy
55
- refine ⟨circShift c,fun _ => Iff.rfl,fun w => ?_⟩
56
- change w.L*M=x ↔ c.L*w.L*M=y
57
- rw [←hc,Matrix.mul_assoc]; exact (c.permMat J).injective.eq_iff.symm
58
-
59
- theorem flit_pmax (M Q : Mat I J) (h : Injective M.mulVec)
60
- (ha : num J-num I≤ -1) :
61
- pr unif (fun c : Move I => c.Rᵀ*M=Q) ≤ 2*bp (-num I*num J) := by
62
- let P (M : Mat I J) := Injective M.mulVec
63
- have ht :
64
- pr unif (fun c : Move I=> c.Rᵀ*M=Q)=unifOn P Q := by
65
- change pr unif (fun x : Move I => (flipLines I x).L*M=Q)=_
66
- rw [← mapW_pr unif (flipLines I) (fun c => c.L*M=Q),unif_equiv]
67
- exact congr_fun (flit_obs M h) Q
68
- have hh : 2⁻¹ ≤ pr unif P := by
69
- have hv := @unif_fail J I _ _ _ _
70
- rw [pr_not,unif_law.total] at hv
71
- have he := bp_le ha
72
- rw [bp_neg,bp_one] at he; change 1-pr unif P ≤ _ at hv; linarith only [hv,he]
73
- rw [ht,←on_unif]
74
- have he : unif Q=bp (-num I*num J) := by rw [unif_apply,neg_mul,bp_neg,←cast_mat]
75
- exact (on_mon unif_law.nz (show 0<(2:ℝ)⁻¹ from by norm_num) hh Q).trans_eq
76
- (by rw [he,inv_inv])
77
-
78
- variable {n : ℕ}
79
- def plume {n : ℕ} (c : Flit n) (S : Space (Vec (Fin n))) :=
80
- colSp (c.Rᵀ*pack S)
81
-
82
- theorem plume_dim (c : Flit n) (S : Space (Vec (Fin n))) : dim (plume c S)=dim S := by
83
- have hh := mrk_inj.mp (inj_comp_mat c.Rᵀ _ c.dual.L_inj (pack_inj S))
84
- rw [plume,colSp_dim,hh,Fintype.card_fin]
85
-
86
- omit [Fintype I] [DecidableEq I] [DecidableEq J] [DecidableEq K] in
87
- private theorem smaller_cols (P : Mat I J) (Q : Mat I K) (h : colSp P ≤ colSp Q) :
88
- ∃ M : Mat K J,Q*M=P := by
89
- classical
90
- choose f hf using fun i : J =>
91
- show ∃ z : Vec K,Q *ᵥ z=P.col i from h (colSp_mem i)
92
- refine ⟨Matrix.of (fun i j => f j i),?_⟩
93
- ext i j; exact congr_fun (hf j) i
94
-
95
- set_option maxHeartbeats 800000 in
96
- theorem plume_meets (n a : ℕ) (ha : a<n) (U V : Space (Vec (Fin n))) :
97
- pr unif (fun c : Flit n => a≤dim (c.plume U ⊓ V : Space (Vec (Fin n))))≤
98
- bp (1+((dim U:ℝ)+dim V-n)*a) := by
99
- classical
100
- let P := Mat (Fin (dim U)) (Fin a); let Q := Mat (Fin (dim V)) (Fin a)
101
- let S (z : P×Q) := pack U*z.1
102
- let q (p : P × Q) (c : Flit n) :=
103
- Injective (S p).mulVec∧c.Rᵀ*S p=pack V*p.2
104
- have hi (c : Flit n) (hc : a≤dim (c.plume U ⊓ V : Space (Vec (Fin n)))) :
105
- ∃ i,q i c := by
106
- let w := c.plume U⊓V
107
- obtain ⟨M,hM,hg⟩ := bounded_pack w a
108
- have he : Injective M.mulVec := mrk_inj.mpr (by
109
- rw [← colSp_dim,hg,Fintype.card_fin,min_eq_right hc])
110
- have hU := le_trans hM (show w≤c.plume U from inf_le_left)
111
- have hV : colSp M ≤ colSp (pack V) := by rw [colSp_pack]; exact le_trans hM inf_le_right
112
- obtain ⟨P,hp⟩ := smaller_cols _ _ hU
113
- obtain ⟨Q,hq��� := smaller_cols _ _ hV
114
- rw [Matrix.mul_assoc] at hp
115
- refine ⟨(P,Q),?_,hp.trans hq.symm⟩
116
- have hx (z : Vec (Fin a)) :
117
- c.Rᵀ*ᵥ((pack U * P)*ᵥz)= M*ᵥz := by rw [mulVec_mulVec,hp]
118
- intro i j hg; exact he ((hx i).symm.trans ((congrArg _ hg).trans (hx j)))
119
- have ht (i : P × Q) :
120
- pr unif (q i) ≤2*bp (-(n:ℝ)*a) := by
121
- by_cases h : Injective (S i).mulVec
122
- · unfold q; simp only [h,true_and]
123
- have hx : num (Fin a)-num (Fin n) ≤ -1 := by
124
- simp only [num,Fintype.card_fin]
125
- have hi : (a:ℝ)+1≤n := by exact_mod_cast ha
126
- linarith only [hi]
127
- simpa only [num,Fintype.card_fin] using flit_pmax (S i) (pack V*i.2) h hx
128
- simp only [q,h,false_and,pr_false]
129
- exact mul_nonneg (by norm_num) (bp_pos _).le
130
- refine (le_trans (pr_mono unif_law.nz hi) (pr_exists_le unif_law.nz q)).trans
131
- ((sum_le_sum (fun i _ => ht i)).trans_eq ?_)
132
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,Fintype.card_prod,Nat.cast_mul]
133
- change num P*num Q* _=_
134
- unfold P Q; rw [cast_mat,cast_mat,←bp_one,←bp_add,←bp_add,←bp_add]
135
- congr 1; simp only [num,Fintype.card_fin]; ring
136
- end Move
137
- end HadwigerCounterexample
138
-
139
- end
140
-
141
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FrameRotations
2
+
3
+ namespace OAI
4
+
5
+ /-! # Random Linear Transforms -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Submodule Finset Function
10
+ open scoped BigOperators
11
+ variable {I J K : Type} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
12
+ [Fintype K] [DecidableEq K]
13
+
14
+ namespace Move
15
+
16
+ instance finiteMove (I : Type) [Fintype I] [DecidableEq I] : Fintype (Move I) := by
17
+ classical
18
+ let S := { z : Mat I I × Mat I I // z.1*z.2 = 1 ∧ z.2*z.1=1}
19
+ let e : S ≃ Move I := {
20
+ toFun z := ⟨z.val.1,z.val.2,z.property.1,z.property.2⟩
21
+ invFun z := ⟨(z.L,z.R),z.LR,z.RL⟩
22
+ left_inv _ := rfl
23
+ right_inv _ := rfl }
24
+ exact Fintype.ofEquiv S e
25
+
26
+ instance identity_move (I : Type) [Fintype I] [DecidableEq I] : Nonempty (Move I) :=
27
+ ⟨1,1, Matrix.one_mul _,Matrix.mul_one _⟩
28
+ def combine (c d : Move I) : Move I :=
29
+ ⟨c.L*d.L,d.R*c.R,by rw [Matrix.mul_assoc,←Matrix.mul_assoc d.L,d.LR,Matrix.one_mul,c.LR],
30
+ by rw [Matrix.mul_assoc,←Matrix.mul_assoc c.R,c.RL,Matrix.one_mul,d.RL]⟩
31
+
32
+ @[ext] theorem extn (p q : Move I) (h : p.L=q.L) (h' : p.R=q.R) : p=q := by
33
+ cases p; cases q; cases h; cases h'; rfl
34
+ def circShift (c : Move I) : Move I≃ Move I where
35
+ toFun := combine c
36
+ invFun := combine c.sym
37
+ left_inv d := extn _ _ (by simp only [combine,sym,←Matrix.mul_assoc,c.RL, Matrix.one_mul])
38
+ (by simp only [combine,sym,Matrix.mul_assoc,c.RL, Matrix.mul_one])
39
+ right_inv d := extn _ _ (by simp only [combine,sym,←Matrix.mul_assoc,c.LR, Matrix.one_mul])
40
+ (by simp only [combine,sym,Matrix.mul_assoc,c.LR, Matrix.mul_one])
41
+ def flipLines (I : Type) [Fintype I] [DecidableEq I] : Move I≃ Move I where
42
+ toFun := Move.dual
43
+ invFun := Move.dual
44
+ left_inv _ := rfl
45
+ right_inv _ := rfl
46
+
47
+ theorem flit_obs (M : Mat I J) (h : Injective M.mulVec) :
48
+ mapW unif (fun c : Move I => c.L*M)=unifOn (fun A => Injective A.mulVec) := by
49
+ classical
50
+ rw [← unifOn_true]
51
+ refine uniform_orbit _ (by obtain ⟨i⟩ := identity_move I; exact ⟨i,trivial⟩)
52
+ (fun x _ => inj_comp_mat _ _ x.L_inj h) ?_
53
+ intro x y hx hy
54
+ obtain ⟨c,hc⟩ := move_exists_one hx hy
55
+ refine ⟨circShift c,fun _ => Iff.rfl,fun w => ?_⟩
56
+ change w.L*M=x ↔ c.L*w.L*M=y
57
+ rw [←hc,Matrix.mul_assoc]; exact (c.permMat J).injective.eq_iff.symm
58
+
59
+ theorem flit_pmax (M Q : Mat I J) (h : Injective M.mulVec)
60
+ (ha : num J-num I≤ -1) :
61
+ pr unif (fun c : Move I => c.Rᵀ*M=Q) ≤ 2*bp (-num I*num J) := by
62
+ let P (M : Mat I J) := Injective M.mulVec
63
+ have ht :
64
+ pr unif (fun c : Move I=> c.Rᵀ*M=Q)=unifOn P Q := by
65
+ change pr unif (fun x : Move I => (flipLines I x).L*M=Q)=_
66
+ rw [← mapW_pr unif (flipLines I) (fun c => c.L*M=Q),unif_equiv]
67
+ exact congr_fun (flit_obs M h) Q
68
+ have hh : 2⁻¹ ≤ pr unif P := by
69
+ have hv := @unif_fail J I _ _ _ _
70
+ rw [pr_not,unif_law.total] at hv
71
+ have he := bp_le ha
72
+ rw [bp_neg,bp_one] at he; change 1-pr unif P ≤ _ at hv; linarith only [hv,he]
73
+ rw [ht,←on_unif]
74
+ have he : unif Q=bp (-num I*num J) := by rw [unif_apply,neg_mul,bp_neg,←cast_mat]
75
+ exact (on_mon unif_law.nz (show 0<(2:ℝ)⁻¹ from by norm_num) hh Q).trans_eq
76
+ (by rw [he,inv_inv])
77
+
78
+ variable {n : ℕ}
79
+ def plume {n : ℕ} (c : Flit n) (S : Space (Vec (Fin n))) :=
80
+ colSp (c.Rᵀ*pack S)
81
+
82
+ theorem plume_dim (c : Flit n) (S : Space (Vec (Fin n))) : dim (plume c S)=dim S := by
83
+ have hh := mrk_inj.mp (inj_comp_mat c.Rᵀ _ c.dual.L_inj (pack_inj S))
84
+ rw [plume,colSp_dim,hh,Fintype.card_fin]
85
+
86
+ omit [Fintype I] [DecidableEq I] [DecidableEq J] [DecidableEq K] in
87
+ private theorem smaller_cols (P : Mat I J) (Q : Mat I K) (h : colSp P ≤ colSp Q) :
88
+ ∃ M : Mat K J,Q*M=P := by
89
+ classical
90
+ choose f hf using fun i : J =>
91
+ show ∃ z : Vec K,Q *ᵥ z=P.col i from h (colSp_mem i)
92
+ refine ⟨Matrix.of (fun i j => f j i),?_⟩
93
+ ext i j; exact congr_fun (hf j) i
94
+
95
+ set_option maxHeartbeats 800000 in
96
+ theorem plume_meets (n a : ℕ) (ha : a<n) (U V : Space (Vec (Fin n))) :
97
+ pr unif (fun c : Flit n => a≤dim (c.plume U ⊓ V : Space (Vec (Fin n))))≤
98
+ bp (1+((dim U:ℝ)+dim V-n)*a) := by
99
+ classical
100
+ let P := Mat (Fin (dim U)) (Fin a); let Q := Mat (Fin (dim V)) (Fin a)
101
+ let S (z : P×Q) := pack U*z.1
102
+ let q (p : P × Q) (c : Flit n) :=
103
+ Injective (S p).mulVec∧c.Rᵀ*S p=pack V*p.2
104
+ have hi (c : Flit n) (hc : a≤dim (c.plume U ⊓ V : Space (Vec (Fin n)))) :
105
+ ∃ i,q i c := by
106
+ let w := c.plume U⊓V
107
+ obtain ⟨M,hM,hg⟩ := bounded_pack w a
108
+ have he : Injective M.mulVec := mrk_inj.mpr (by
109
+ rw [← colSp_dim,hg,Fintype.card_fin,min_eq_right hc])
110
+ have hU := le_trans hM (show w≤c.plume U from inf_le_left)
111
+ have hV : colSp M ≤ colSp (pack V) := by rw [colSp_pack]; exact le_trans hM inf_le_right
112
+ obtain ⟨P,hp⟩ := smaller_cols _ _ hU
113
+ obtain ⟨Q,hq⟩ := smaller_cols _ _ hV
114
+ rw [Matrix.mul_assoc] at hp
115
+ refine ⟨(P,Q),?_,hp.trans hq.symm⟩
116
+ have hx (z : Vec (Fin a)) :
117
+ c.Rᵀ*ᵥ((pack U * P)*ᵥz)= M*ᵥz := by rw [mulVec_mulVec,hp]
118
+ intro i j hg; exact he ((hx i).symm.trans ((congrArg _ hg).trans (hx j)))
119
+ have ht (i : P × Q) :
120
+ pr unif (q i) ≤2*bp (-(n:ℝ)*a) := by
121
+ by_cases h : Injective (S i).mulVec
122
+ · unfold q; simp only [h,true_and]
123
+ have hx : num (Fin a)-num (Fin n) ≤ -1 := by
124
+ simp only [num,Fintype.card_fin]
125
+ have hi : (a:ℝ)+1≤n := by exact_mod_cast ha
126
+ linarith only [hi]
127
+ simpa only [num,Fintype.card_fin] using flit_pmax (S i) (pack V*i.2) h hx
128
+ simp only [q,h,false_and,pr_false]
129
+ exact mul_nonneg (by norm_num) (bp_pos _).le
130
+ refine (le_trans (pr_mono unif_law.nz hi) (pr_exists_le unif_law.nz q)).trans
131
+ ((sum_le_sum (fun i _ => ht i)).trans_eq ?_)
132
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,Fintype.card_prod,Nat.cast_mul]
133
+ change num P*num Q* _=_
134
+ unfold P Q; rw [cast_mat,cast_mat,←bp_one,←bp_add,←bp_add,←bp_add]
135
+ congr 1; simp only [num,Fintype.card_fin]; ring
136
+ end Move
137
+ end HadwigerCounterexample
138
+
139
+ end
140
+
141
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RankEfficientDecomposition.lean CHANGED
@@ -1,130 +1,130 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.DerivativeCompression
2
-
3
- namespace OAI
4
-
5
- /-! # Rank Efficient Decomposition -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Submodule Finset
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
-
13
- /-- Evaluation of individual matrices on Xpair -/
14
- def obsI (p : Shape) {n} : Individual p n →ₗ[F] ReqF p n where
15
- toFun A := combineF p (repF p A)
16
- map_add' A B := by
17
- rw [←map_add]; apply congrArg
18
- funext i; refine LinearMap.ext fun x => ?_
19
- change repF p (A+B) i x= repF p A i x+ repF p B i x
20
- rw [repF_rep, repF_rep,repF_rep]
21
- simp only [Pi.add_apply,mpair_add,Finset.sum_add_distrib]
22
- map_smul' a A := by
23
- change combineF p (repF p (a•A))=a • _
24
- rw [←map_smul]; apply congrArg
25
- funext i; refine LinearMap.ext fun x => ?_
26
- change repF p (a•A) i x= a • (repF p A i x)
27
- rw [repF_rep,repF_rep]
28
- simp only [Pi.smul_apply,mpair_smul,smul_eq_mul,Finset.mul_sum]
29
-
30
- theorem obsI_each (P : PureForms p n) :
31
- obsI p (eachF p P)=obsPair p P :=
32
- (obsPair_each P).symm
33
-
34
- private theorem mrk_sub {I J : Type} [Fintype I] [Fintype J] (A B : Mat I J) :
35
- (A-B).rank ≤ A.rank+B.rank := by rw [ZModModule.sub_eq_add]; exact mrk_add_le A B
36
-
37
- theorem primary_initial (M : Individual p n) (f : Plan p n) (H R : ℕ)
38
- (hF : ∀ z i,dim (sPin f z i) ≤ H) (hR : ∀ i e, (M i e).rank≤R) :
39
- ∃ P∈pureSpace p f, (∀ e,(P e).rank ≤ 2*R) ∧
40
- (∀ i e, ((M-eachF p P) i e).rank≤2*H) := by
41
- classical
42
- let S := sPin f
43
- choose A hA using fun z i => proj_exists (S z i) ⊥ disjoint_bot_right
44
- let B (z i) := 1-A z i
45
- let T : Individual p n := fun i e => pullM (B (e,true) i) (B (e,false) i) (M i e)
46
- refine ⟨sumF p T,?_,fun e => ?_, fun i e => ?_⟩
47
- · refine (pureSpace_mem _).mpr fun e => ?_
48
- apply Submodule.sum_mem
49
- intro i _
50
- let P z := B (e,z) i * (IP p n i)ᵀ
51
- have he (z : Bool) (x : Dir p n) (hx : x∈f (e,z)) : P z *ᵥ x=0 := by
52
- unfold P B
53
- let y := (IP p n i)ᵀ *ᵥ x
54
- have hh : y∈ S (e,z) i := ⟨_,hx,rfl⟩
55
- rw [←Matrix.mulVec_mulVec,Matrix.sub_mulVec,Matrix.one_mulVec]
56
- change y - A (e,z) i *ᵥ y=0
57
- rw [(hA _ _).fixes _ hh,sub_self]
58
- have hh : liftM (IP p n i) (IP p n i) (T i e)=(P true)ᵀ * M i e * P false := by
59
- simp only [liftM_def,T,pullM_def,P,Matrix.transpose_mul,Matrix.transpose_transpose,
60
- Matrix.mul_assoc]
61
- rw [hh,box_kill]
62
- constructor
63
- · intro x hx
64
- simp only [transpose_mul,transpose_transpose,←mulVec_mulVec,he true x hx,mulVec_zero]
65
- intro x hx
66
- rw [← Matrix.mulVec_mulVec,he false x hx,mulVec_zero]
67
- · refine (mrk_sum_le ..).trans ?_
68
- have ht i : (liftM (IP p n i) (IP p n i) (T i e)).rank≤R := (rank_lift_le ..).trans
69
- ((rank_lift_le ..).trans (hR i e))
70
- exact (Fintype.sum_bool _).le.trans ((Nat.add_le_add (ht _) (ht _)).trans_eq (two_mul R).symm)
71
- · rw [each_sumF]
72
- let z : Place p := (e,true)
73
- let z' : Place p := (e,false)
74
- let C := M i e
75
- change (C-(T i e)).rank≤2*H
76
- have he : C-T i e=(A z i)ᵀ*C+(B z i)ᵀ*C*A z' i := by
77
- unfold T; rw [pullM_def]
78
- dsimp only [B]
79
- simp only [transpose_sub,Matrix.transpose_one,Matrix.mul_sub,Matrix.sub_mul,Matrix.mul_one,
80
- Matrix.one_mul,C,z,z']
81
- abel
82
- have hh (z) : (A z i).rank ≤ H := (rank_maps (S z i) ((hA z i).onto)).trans (hF z i)
83
- rw [he,two_mul]
84
- refine (mrk_add_le ..).trans ?_
85
- exact Nat.add_le_add ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_transpose (A z i) ▸ hh z))
86
- ((Matrix.rank_mul_le_right ..).trans (hh z'))
87
-
88
- set_option maxHeartbeats 800000 in
89
- theorem split_linear {M : Individual p n} {f b : Plan p n} {j : Bool}
90
- {C D : ChanOut p n} {P : PureForms p n}
91
- (R T H : ℕ) (ht : ∀ z i,dim (sPin f z i)≤T) (hm : ∀ i e,(M i e).rank≤R)
92
- (hc : outSmall H C)
93
- (hd : D∈deltaSpace p f b j) (hp : P∈pureSpace p f)
94
- (hh : obsPair p (chanInner p C C)+obsPair p (chanDeriv p C D)+obsPair p P=obsI p M) :
95
- ∃ (B : ChanOut p n) (P' P0 : PureForms p n) (Mr : Individual p n),
96
- B∈deltaSpace p f b j ∧ P'∈pureSpace p f ∧ P0∈pureSpace p f ∧
97
- outSmall (3*H) (C+B) ∧ (∀ e,(P0 e).rank≤2*R) ∧
98
- obsPair p (chanInner p (C+B) (C+B))+obsPair p (P'+P0)=obsI p M ∧
99
- obsPair p P'=obsI p Mr ∧ ∀ i e, (Mr i e).rank ≤2*T+3*H := by
100
- classical
101
- obtain ⟨B,hB,hK,hZ⟩ := deriv_compress hc hd
102
- obtain ⟨P0,hQ,hA,hL⟩ := primary_initial M f T R ht hm
103
- let P' := P-chanInner p B B-P0
104
- let CI := chanInner p (C+B) (C+B)
105
- let E := eachF p CI
106
- refine ⟨B,P',P0,M-eachF p P0-E,hB,(pureSpace p f).sub_mem
107
- ((pureSpace p f).sub_mem hp (chanInner_pure hB hB)) hQ,hQ,?_⟩
108
- have hsmall : outSmall (3*H) (C+B) := by
109
- intro z i
110
- rw [Pi.add_apply,Matrix.add_mul]
111
- apply le_trans (mrk_add_le ..)
112
- exact (Nat.add_le_add (hc z i) ((Matrix.rank_mul_le_left ..).trans (hK z))).trans
113
- (by omega)
114
- have hg : obsPair p (chanInner p (C+B) (C+B)) + obsPair p (P'+P0)=obsI p M := by
115
- rw [obsPair_chan_change,←hZ,show P'=P-chanInner p B B-P0 from rfl,sub_add_cancel,map_sub]
116
- exact (show _=obsPair p (chanInner p C C)+obsPair p (chanDeriv p C D)+obsPair p P by
117
- abel).trans hh
118
- refine ⟨hsmall,hA,hg,?_,fun i e => ?_⟩
119
- · rw [map_sub (obsI p) (M-eachF p P0) E,map_sub (obsI p),← hg]
120
- rw [obsI_each,show E= eachF p CI from rfl,obsI_each]
121
- unfold CI
122
- rw [map_add]; abel
123
- rw [Pi.sub_apply,Pi.sub_apply]
124
- exact (mrk_sub ..).trans (Nat.add_le_add (hL i e) (show (E i e).rank≤_ from by
125
- unfold E CI; rw [each_chan_val]; exact (Matrix.rank_mul_le_right ..).trans (hsmall _ i)))
126
- end HadwigerCounterexample
127
-
128
- end
129
-
130
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.DerivativeCompression
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rank Efficient Decomposition -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Submodule Finset
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
+
13
+ /-- Evaluation of individual matrices on Xpair -/
14
+ def obsI (p : Shape) {n} : Individual p n →ₗ[F] ReqF p n where
15
+ toFun A := combineF p (repF p A)
16
+ map_add' A B := by
17
+ rw [←map_add]; apply congrArg
18
+ funext i; refine LinearMap.ext fun x => ?_
19
+ change repF p (A+B) i x= repF p A i x+ repF p B i x
20
+ rw [repF_rep, repF_rep,repF_rep]
21
+ simp only [Pi.add_apply,mpair_add,Finset.sum_add_distrib]
22
+ map_smul' a A := by
23
+ change combineF p (repF p (a•A))=a • _
24
+ rw [←map_smul]; apply congrArg
25
+ funext i; refine LinearMap.ext fun x => ?_
26
+ change repF p (a•A) i x= a • (repF p A i x)
27
+ rw [repF_rep,repF_rep]
28
+ simp only [Pi.smul_apply,mpair_smul,smul_eq_mul,Finset.mul_sum]
29
+
30
+ theorem obsI_each (P : PureForms p n) :
31
+ obsI p (eachF p P)=obsPair p P :=
32
+ (obsPair_each P).symm
33
+
34
+ private theorem mrk_sub {I J : Type} [Fintype I] [Fintype J] (A B : Mat I J) :
35
+ (A-B).rank ≤ A.rank+B.rank := by rw [ZModModule.sub_eq_add]; exact mrk_add_le A B
36
+
37
+ theorem primary_initial (M : Individual p n) (f : Plan p n) (H R : ℕ)
38
+ (hF : ∀ z i,dim (sPin f z i) ≤ H) (hR : ∀ i e, (M i e).rank≤R) :
39
+ ∃ P∈pureSpace p f, (∀ e,(P e).rank ≤ 2*R) ∧
40
+ (∀ i e, ((M-eachF p P) i e).rank≤2*H) := by
41
+ classical
42
+ let S := sPin f
43
+ choose A hA using fun z i => proj_exists (S z i) ⊥ disjoint_bot_right
44
+ let B (z i) := 1-A z i
45
+ let T : Individual p n := fun i e => pullM (B (e,true) i) (B (e,false) i) (M i e)
46
+ refine ⟨sumF p T,?_,fun e => ?_, fun i e => ?_⟩
47
+ · refine (pureSpace_mem _).mpr fun e => ?_
48
+ apply Submodule.sum_mem
49
+ intro i _
50
+ let P z := B (e,z) i * (IP p n i)ᵀ
51
+ have he (z : Bool) (x : Dir p n) (hx : x∈f (e,z)) : P z *ᵥ x=0 := by
52
+ unfold P B
53
+ let y := (IP p n i)ᵀ *ᵥ x
54
+ have hh : y∈ S (e,z) i := ⟨_,hx,rfl⟩
55
+ rw [←Matrix.mulVec_mulVec,Matrix.sub_mulVec,Matrix.one_mulVec]
56
+ change y - A (e,z) i *ᵥ y=0
57
+ rw [(hA _ _).fixes _ hh,sub_self]
58
+ have hh : liftM (IP p n i) (IP p n i) (T i e)=(P true)ᵀ * M i e * P false := by
59
+ simp only [liftM_def,T,pullM_def,P,Matrix.transpose_mul,Matrix.transpose_transpose,
60
+ Matrix.mul_assoc]
61
+ rw [hh,box_kill]
62
+ constructor
63
+ · intro x hx
64
+ simp only [transpose_mul,transpose_transpose,←mulVec_mulVec,he true x hx,mulVec_zero]
65
+ intro x hx
66
+ rw [← Matrix.mulVec_mulVec,he false x hx,mulVec_zero]
67
+ · refine (mrk_sum_le ..).trans ?_
68
+ have ht i : (liftM (IP p n i) (IP p n i) (T i e)).rank≤R := (rank_lift_le ..).trans
69
+ ((rank_lift_le ..).trans (hR i e))
70
+ exact (Fintype.sum_bool _).le.trans ((Nat.add_le_add (ht _) (ht _)).trans_eq (two_mul R).symm)
71
+ · rw [each_sumF]
72
+ let z : Place p := (e,true)
73
+ let z' : Place p := (e,false)
74
+ let C := M i e
75
+ change (C-(T i e)).rank≤2*H
76
+ have he : C-T i e=(A z i)ᵀ*C+(B z i)ᵀ*C*A z' i := by
77
+ unfold T; rw [pullM_def]
78
+ dsimp only [B]
79
+ simp only [transpose_sub,Matrix.transpose_one,Matrix.mul_sub,Matrix.sub_mul,Matrix.mul_one,
80
+ Matrix.one_mul,C,z,z']
81
+ abel
82
+ have hh (z) : (A z i).rank ≤ H := (rank_maps (S z i) ((hA z i).onto)).trans (hF z i)
83
+ rw [he,two_mul]
84
+ refine (mrk_add_le ..).trans ?_
85
+ exact Nat.add_le_add ((Matrix.rank_mul_le_left ..).trans (Matrix.rank_transpose (A z i) ▸ hh z))
86
+ ((Matrix.rank_mul_le_right ..).trans (hh z'))
87
+
88
+ set_option maxHeartbeats 800000 in
89
+ theorem split_linear {M : Individual p n} {f b : Plan p n} {j : Bool}
90
+ {C D : ChanOut p n} {P : PureForms p n}
91
+ (R T H : ℕ) (ht : ∀ z i,dim (sPin f z i)≤T) (hm : ∀ i e,(M i e).rank≤R)
92
+ (hc : outSmall H C)
93
+ (hd : D∈deltaSpace p f b j) (hp : P∈pureSpace p f)
94
+ (hh : obsPair p (chanInner p C C)+obsPair p (chanDeriv p C D)+obsPair p P=obsI p M) :
95
+ ∃ (B : ChanOut p n) (P' P0 : PureForms p n) (Mr : Individual p n),
96
+ B∈deltaSpace p f b j ∧ P'∈pureSpace p f ∧ P0∈pureSpace p f ∧
97
+ outSmall (3*H) (C+B) ∧ (∀ e,(P0 e).rank≤2*R) ∧
98
+ obsPair p (chanInner p (C+B) (C+B))+obsPair p (P'+P0)=obsI p M ∧
99
+ obsPair p P'=obsI p Mr ∧ ∀ i e, (Mr i e).rank ≤2*T+3*H := by
100
+ classical
101
+ obtain ⟨B,hB,hK,hZ⟩ := deriv_compress hc hd
102
+ obtain ⟨P0,hQ,hA,hL⟩ := primary_initial M f T R ht hm
103
+ let P' := P-chanInner p B B-P0
104
+ let CI := chanInner p (C+B) (C+B)
105
+ let E := eachF p CI
106
+ refine ⟨B,P',P0,M-eachF p P0-E,hB,(pureSpace p f).sub_mem
107
+ ((pureSpace p f).sub_mem hp (chanInner_pure hB hB)) hQ,hQ,?_⟩
108
+ have hsmall : outSmall (3*H) (C+B) := by
109
+ intro z i
110
+ rw [Pi.add_apply,Matrix.add_mul]
111
+ apply le_trans (mrk_add_le ..)
112
+ exact (Nat.add_le_add (hc z i) ((Matrix.rank_mul_le_left ..).trans (hK z))).trans
113
+ (by omega)
114
+ have hg : obsPair p (chanInner p (C+B) (C+B)) + obsPair p (P'+P0)=obsI p M := by
115
+ rw [obsPair_chan_change,←hZ,show P'=P-chanInner p B B-P0 from rfl,sub_add_cancel,map_sub]
116
+ exact (show _=obsPair p (chanInner p C C)+obsPair p (chanDeriv p C D)+obsPair p P by
117
+ abel).trans hh
118
+ refine ⟨hsmall,hA,hg,?_,fun i e => ?_⟩
119
+ · rw [map_sub (obsI p) (M-eachF p P0) E,map_sub (obsI p),← hg]
120
+ rw [obsI_each,show E= eachF p CI from rfl,obsI_each]
121
+ unfold CI
122
+ rw [map_add]; abel
123
+ rw [Pi.sub_apply,Pi.sub_apply]
124
+ exact (mrk_sub ..).trans (Nat.add_le_add (hL i e) (show (E i e).rank≤_ from by
125
+ unfold E CI; rw [each_chan_val]; exact (Matrix.rank_mul_le_right ..).trans (hsmall _ i)))
126
+ end HadwigerCounterexample
127
+
128
+ end
129
+
130
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RankSubrectangles.lean CHANGED
@@ -1,126 +1,126 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.GramCharacterExpansion
2
-
3
- namespace OAI
4
-
5
- /-! # Rank Subrectangles -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Submodule Function Finset
10
- open scoped BigOperators
11
- variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J]
12
-
13
- omit [DecidableEq I] in
14
- theorem basis_subcolumns (A : Mat I J) :
15
- ∃ f : Fin A.rank→J, Injective (A.submatrix _root_.id f).mulVec := by
16
- classical
17
- let M (S : Finset J) := Submodule.span F (A.col '' (S : Set J))
18
- have hg (S : Finset J) : ∃ T⊆S,M T=M S ∧ T.card=dim (M T) := by
19
- induction S using Finset.induction with
20
- | empty =>
21
- have he : M ∅ = ⊥ := by
22
- unfold M
23
- rw [show (A.col '' ((∅ : Finset J) : Set _))=∅ by ext; simp, Submodule.span_empty]
24
- refine ⟨∅,by simp,rfl,?_⟩; rw [he]; exact (finrank_bot ..).symm
25
- | insert x S hx ih =>
26
- obtain ⟨T,hT,hM,hD⟩ := ih
27
- have he (S : Finset J) :
28
- M (insert x S)=M S⊔Submodule.span F ({A.col x}:Set _) := by
29
- unfold M
30
- rw [← span_union]
31
- congr 1
32
- ext; simp
33
- rw [he,←hM]
34
- by_cases h : A.col x∈M T
35
- · exact ⟨T,hT.trans (Finset.subset_insert _ _),
36
- (sup_eq_left.mpr (by rwa [Submodule.span_singleton_le_iff_mem])).symm,hD⟩
37
- refine ⟨insert x T,Finset.insert_subset_insert x hT,he T,?_⟩
38
- rw [Finset.card_insert_of_notMem (fun v => hx (hT v)), he,hD]
39
- exact (Submodule.finrank_sup_span_singleton h).symm
40
- obtain ⟨S,hS,hA,ht⟩ := hg Finset.univ
41
- have hs : M S=colSp A := by
42
- rw [hA,colSp, Matrix.range_mulVecLin]; unfold M
43
- congr 1
44
- ext x; simp
45
- have he : S.card=A.rank := by rw [ht,hs,colSp_dim]
46
- let e := Fintype.equivFinOfCardEq (Fintype.card_coe S |>.trans he)
47
- let f (x : Fin A.rank) := (e.symm x).val
48
- have hB : colSp (A.submatrix _root_.id f)=M S := by
49
- rw [colSp,Matrix.range_mulVecLin]; unfold M
50
- congr 1
51
- ext x; constructor
52
- · rintro ⟨k,rfl⟩; exact ⟨f k,(e.symm k).property,rfl⟩
53
- · rintro ⟨k,h,rfl⟩
54
- refine ⟨e ⟨k,h⟩,?_⟩
55
- have heq : f (e ⟨k,h⟩) = k := by unfold f; rw [Equiv.symm_apply_apply]
56
- ext; simp [Matrix.col_apply,heq]
57
- rw [hs] at hB
58
- refine ⟨f,mrk_inj.mpr ?_⟩
59
- rw [← colSp_dim,hB,Fintype.card_fin,colSp_dim]
60
-
61
- theorem minor_arc (A : Mat I J) :
62
- ∃ (f : Fin A.rank→ I) (g : Fin A.rank→ J), Injective (A.submatrix f g).mulVec := by
63
- classical
64
- let t := A.rank
65
- obtain ⟨g,hg⟩ := basis_subcolumns A
66
- let B := A.submatrix _root_.id g
67
- have he : Bᵀ.rank=t := (Matrix.rank_transpose _).trans ((mrk_inj.mp hg).trans
68
- (Fintype.card_fin _))
69
- obtain ⟨f,hf⟩ : ∃ f : Fin t→I,Injective ((Bᵀ.submatrix _root_.id f)).mulVec := by
70
- have hi := basis_subcolumns Bᵀ
71
- rwa [he] at hi
72
- have hh := mrk_inj.mp hf
73
- refine ⟨f,g,mrk_inj.mpr ?_⟩
74
- rw [← Matrix.rank_transpose]
75
- exact hh
76
-
77
- private theorem lastCol {t : ℕ} {I J : Type} [Fintype I] [Fintype J]
78
- [DecidableEq I] [DecidableEq J] (A : Mat I J)
79
- (f : Fin t→I) (g : Fin t→J) (x : I) (y : J)
80
- (h : (A.submatrix (Sum.elim f (fun _ : Unit => x))
81
- (Sum.elim g (fun _ : Unit => y))).rank ≤ t)
82
- (hb : Injective (A.submatrix f g).mulVec) :
83
- ∃ z : Vec (Fin t),(A.submatrix f g)*ᵥ z=(fun i => A (f i) y) ∧
84
- A x y=∑ i,A x (g i)*z i := by
85
- classical
86
- let C := A.submatrix (Sum.elim f (fun _ : Unit => x)) (Sum.elim g (fun _ : Unit => y))
87
- let M := C.submatrix _root_.id (.inl ·)
88
- have hm : Injective M.mulVec := by
89
- intro X Y h
90
- apply hb
91
- funext i
92
- exact congr_fun h (.inl i)
93
- have hM : colSp M≤colSp C := by
94
- rw [colSp,colSp, Matrix.range_mulVecLin,Matrix.range_mulVecLin]
95
- apply Submodule.span_mono
96
- rintro s ⟨i,rfl⟩; exact ⟨.inl i,rfl⟩
97
- have he : colSp M=colSp C := Submodule.eq_of_le_of_finrank_le hM (by
98
- have he : dim (colSp M)=t := (mrk_inj.mp hm).trans (Fintype.card_fin _)
99
- change dim (colSp C) ≤ dim (colSp M)
100
- rw [he]; exact h)
101
- obtain ⟨v,hv⟩ := show C.col (.inr ()) ∈ colSp M from he.symm ▸ colSp_mem _
102
- exact ⟨v,funext (fun i => congr_fun hv (.inl i)),(congr_fun hv (.inr ())).symm⟩
103
-
104
- theorem border_same {t : ℕ} (A B : Mat I J) (f : Fin t→I) (g : Fin t→J)
105
- (x : I) (y : J)
106
- (h : Injective (A.submatrix f g).mulVec)
107
- (hx : ∀ i j,A (f i) j=B (f i) j)
108
- (hy : ∀ i j,A i (g j)=B i (g j))
109
- (hA : (A.submatrix (Sum.elim f (fun _ : Unit => x))
110
- (Sum.elim g (fun _ : Unit => y))).rank ≤ t)
111
- (hB : (B.submatrix (Sum.elim f (fun _ : Unit => x))
112
- (Sum.elim g (fun _ : Unit => y))).rank ≤ t) :
113
- A x y=B x y := by
114
- classical
115
- have hh : A.submatrix f g=B.submatrix f g := Matrix.ext fun i j => hx i _
116
- obtain ⟨s,hs,hL⟩ := lastCol A f g x y hA h
117
- obtain ⟨s',hs',hR⟩ := lastCol B f g x y hB (hh ▸ h)
118
- obtain rfl : s=s' := h ((show A.submatrix f g *ᵥ s=(fun i => A (f i) y) from hs).trans
119
- ((funext (fun i => hx i y)).trans (hh ▸ hs'.symm)))
120
- rw [hL,hR]; simp_rw [hy]
121
-
122
- end HadwigerCounterexample
123
-
124
- end
125
-
126
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.GramCharacterExpansion
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rank Subrectangles -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Submodule Function Finset
10
+ open scoped BigOperators
11
+ variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J]
12
+
13
+ omit [DecidableEq I] in
14
+ theorem basis_subcolumns (A : Mat I J) :
15
+ ∃ f : Fin A.rank→J, Injective (A.submatrix _root_.id f).mulVec := by
16
+ classical
17
+ let M (S : Finset J) := Submodule.span F (A.col '' (S : Set J))
18
+ have hg (S : Finset J) : ∃ T⊆S,M T=M S ∧ T.card=dim (M T) := by
19
+ induction S using Finset.induction with
20
+ | empty =>
21
+ have he : M ∅ = ⊥ := by
22
+ unfold M
23
+ rw [show (A.col '' ((∅ : Finset J) : Set _))=∅ by ext; simp, Submodule.span_empty]
24
+ refine ⟨∅,by simp,rfl,?_⟩; rw [he]; exact (finrank_bot ..).symm
25
+ | insert x S hx ih =>
26
+ obtain ⟨T,hT,hM,hD⟩ := ih
27
+ have he (S : Finset J) :
28
+ M (insert x S)=M S⊔Submodule.span F ({A.col x}:Set _) := by
29
+ unfold M
30
+ rw [← span_union]
31
+ congr 1
32
+ ext; simp
33
+ rw [he,←hM]
34
+ by_cases h : A.col x∈M T
35
+ · exact ⟨T,hT.trans (Finset.subset_insert _ _),
36
+ (sup_eq_left.mpr (by rwa [Submodule.span_singleton_le_iff_mem])).symm,hD⟩
37
+ refine ⟨insert x T,Finset.insert_subset_insert x hT,he T,?_⟩
38
+ rw [Finset.card_insert_of_notMem (fun v => hx (hT v)), he,hD]
39
+ exact (Submodule.finrank_sup_span_singleton h).symm
40
+ obtain ⟨S,hS,hA,ht⟩ := hg Finset.univ
41
+ have hs : M S=colSp A := by
42
+ rw [hA,colSp, Matrix.range_mulVecLin]; unfold M
43
+ congr 1
44
+ ext x; simp
45
+ have he : S.card=A.rank := by rw [ht,hs,colSp_dim]
46
+ let e := Fintype.equivFinOfCardEq (Fintype.card_coe S |>.trans he)
47
+ let f (x : Fin A.rank) := (e.symm x).val
48
+ have hB : colSp (A.submatrix _root_.id f)=M S := by
49
+ rw [colSp,Matrix.range_mulVecLin]; unfold M
50
+ congr 1
51
+ ext x; constructor
52
+ · rintro ⟨k,rfl⟩; exact ⟨f k,(e.symm k).property,rfl⟩
53
+ · rintro ⟨k,h,rfl⟩
54
+ refine ⟨e ⟨k,h⟩,?_⟩
55
+ have heq : f (e ⟨k,h⟩) = k := by unfold f; rw [Equiv.symm_apply_apply]
56
+ ext; simp [Matrix.col_apply,heq]
57
+ rw [hs] at hB
58
+ refine ⟨f,mrk_inj.mpr ?_⟩
59
+ rw [← colSp_dim,hB,Fintype.card_fin,colSp_dim]
60
+
61
+ theorem minor_arc (A : Mat I J) :
62
+ ∃ (f : Fin A.rank→ I) (g : Fin A.rank→ J), Injective (A.submatrix f g).mulVec := by
63
+ classical
64
+ let t := A.rank
65
+ obtain ⟨g,hg⟩ := basis_subcolumns A
66
+ let B := A.submatrix _root_.id g
67
+ have he : Bᵀ.rank=t := (Matrix.rank_transpose _).trans ((mrk_inj.mp hg).trans
68
+ (Fintype.card_fin _))
69
+ obtain ⟨f,hf⟩ : ∃ f : Fin t→I,Injective ((Bᵀ.submatrix _root_.id f)).mulVec := by
70
+ have hi := basis_subcolumns Bᵀ
71
+ rwa [he] at hi
72
+ have hh := mrk_inj.mp hf
73
+ refine ⟨f,g,mrk_inj.mpr ?_⟩
74
+ rw [← Matrix.rank_transpose]
75
+ exact hh
76
+
77
+ private theorem lastCol {t : ℕ} {I J : Type} [Fintype I] [Fintype J]
78
+ [DecidableEq I] [DecidableEq J] (A : Mat I J)
79
+ (f : Fin t→I) (g : Fin t→J) (x : I) (y : J)
80
+ (h : (A.submatrix (Sum.elim f (fun _ : Unit => x))
81
+ (Sum.elim g (fun _ : Unit => y))).rank ≤ t)
82
+ (hb : Injective (A.submatrix f g).mulVec) :
83
+ ∃ z : Vec (Fin t),(A.submatrix f g)*ᵥ z=(fun i => A (f i) y) ∧
84
+ A x y=∑ i,A x (g i)*z i := by
85
+ classical
86
+ let C := A.submatrix (Sum.elim f (fun _ : Unit => x)) (Sum.elim g (fun _ : Unit => y))
87
+ let M := C.submatrix _root_.id (.inl ·)
88
+ have hm : Injective M.mulVec := by
89
+ intro X Y h
90
+ apply hb
91
+ funext i
92
+ exact congr_fun h (.inl i)
93
+ have hM : colSp M≤colSp C := by
94
+ rw [colSp,colSp, Matrix.range_mulVecLin,Matrix.range_mulVecLin]
95
+ apply Submodule.span_mono
96
+ rintro s ⟨i,rfl⟩; exact ⟨.inl i,rfl⟩
97
+ have he : colSp M=colSp C := Submodule.eq_of_le_of_finrank_le hM (by
98
+ have he : dim (colSp M)=t := (mrk_inj.mp hm).trans (Fintype.card_fin _)
99
+ change dim (colSp C) ≤ dim (colSp M)
100
+ rw [he]; exact h)
101
+ obtain ⟨v,hv⟩ := show C.col (.inr ()) ∈ colSp M from he.symm ▸ colSp_mem _
102
+ exact ⟨v,funext (fun i => congr_fun hv (.inl i)),(congr_fun hv (.inr ())).symm⟩
103
+
104
+ theorem border_same {t : ℕ} (A B : Mat I J) (f : Fin t→I) (g : Fin t→J)
105
+ (x : I) (y : J)
106
+ (h : Injective (A.submatrix f g).mulVec)
107
+ (hx : ∀ i j,A (f i) j=B (f i) j)
108
+ (hy : ∀ i j,A i (g j)=B i (g j))
109
+ (hA : (A.submatrix (Sum.elim f (fun _ : Unit => x))
110
+ (Sum.elim g (fun _ : Unit => y))).rank ≤ t)
111
+ (hB : (B.submatrix (Sum.elim f (fun _ : Unit => x))
112
+ (Sum.elim g (fun _ : Unit => y))).rank ≤ t) :
113
+ A x y=B x y := by
114
+ classical
115
+ have hh : A.submatrix f g=B.submatrix f g := Matrix.ext fun i j => hx i _
116
+ obtain ⟨s,hs,hL⟩ := lastCol A f g x y hA h
117
+ obtain ⟨s',hs',hR⟩ := lastCol B f g x y hB (hh ▸ h)
118
+ obtain rfl : s=s' := h ((show A.submatrix f g *ᵥ s=(fun i => A (f i) y) from hs).trans
119
+ ((funext (fun i => hx i y)).trans (hh ▸ hs'.symm)))
120
+ rw [hL,hR]; simp_rw [hy]
121
+
122
+ end HadwigerCounterexample
123
+
124
+ end
125
+
126
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RareLeafEvents.lean CHANGED
@@ -1,101 +1,101 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SuperlevelBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Rare Leaf Events -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix Function
10
- open scoped BigOperators Topology
11
- open Template
12
- variable {p:Shape} {M n N K s0:ℕ}
13
- namespace StatusAnalysis
14
- variable {q:Format} {d e:Rates} {b:Bool}
15
-
16
- namespace Quill
17
- variable (w:Quill p q d b) (m:Mixer p n) (t : Tagging p (Messenger q))
18
- (z : Messenger q→F)
19
- def qualified (s:Charts p n d) (K :ℕ) (μ:Wgt (UnitType p n N)) (P : UnitType p n N→Prop) (a:ℝ) :=
20
- 2*a ≤ pr μ P ∧ ∀ i,P i →μ i ≠0→ w.steady t z m K s i
21
-
22
- theorem qualify_hit (s : Charts p n d) (K:ℕ) (μ:Wgt (UnitType p n N))
23
- (P: UnitType p n N→Prop) (H:Keys (p:=p) t N→Prop) {a α:ℝ} (hα:0<α)
24
- (h:w.qualified m t z s K μ P a)
25
- (hw : IsLaw μ) (hg:∀ i,IsLaw (w.policies t z n i))
26
- (hp: pr μ (fun i=>¬w.sober t z K H m α i) ≤ a) :
27
- a*α ≤ pr (w.sales t z μ P m s) H := by
28
- classical
29
- let Q:=w.sober t z K H m α
30
- let V i:=w.prowl s t z m i (fun i=>ind (H i))
31
- have he:a ≤ pr μ (fun x=>P x∧ Q x) :=
32
- (le_trans (by linarith only [hp,h.1]) (pr_shield hw.nz _ _))
33
- unfold pr; rw [sales_mean]
34
- refine (mul_le_mul_of_nonneg_right he hα.le).trans ?_
35
- unfold pr; rw [←avg_mul]
36
- unfold avg
37
- refine Finset.sum_le_sum fun i _=> ?_
38
- dsimp only
39
- by_cases hi:μ i=0
40
- · simp only [hi,zero_mul]; rfl
41
- refine mul_le_mul_of_nonneg_left ?_ (hw.nz i)
42
- have hv : 0≤ V i := avg_nonneg (prodW_law hg).nz (fun j=> mul_nonneg (ind_nonneg _) (ind_nonneg _))
43
- by_cases hP:P i∧ Q i
44
- · change ind (_∧_) *_ ≤ _*V i; rw [ind_one hP,ind_one hP.1,one_mul,one_mul]
45
- exact hP.2 s (h.2 i hP.1 hi)
46
- rw [ind_zero hP,zero_mul]; exact mul_nonneg (ind_nonneg _) hv
47
- end Quill
48
-
49
- namespace Station
50
- variable {w:LeafMixture p n N} (t:Station p n N K w) (x:Typus p q d e)
51
- (m:Mixer p n) (k: Fin (2^deckMax p K)) (μ:Wgt (UnitType p n N))
52
-
53
- def charter (a:ℝ) (i:w.T×w.T) :=
54
- x.permission ∧
55
- x.qA.qualified m x.t x.z (t.cAxes i.1 d) K (partW μ i.1.val) (t.frontPage x m i.1 i.2 k) a ∧
56
- x.qB.qualified m x.t x.z (t.cAxes i.2 e) K (partW μ i.2.val) (t.backPage x m i.1 i.2 k) a
57
-
58
- def berth (a:ℝ) :=
59
- pr (pairW (portionW μ w.T) (portionW μ w.T)) (charter t x m k μ a)
60
-
61
- theorem charterWeak {a b:ℝ} (hh:a≤b) (i:w.T×w.T) (hf:charter t x m k μ b i) :
62
- charter t x m k μ a i :=
63
- ⟨hf.1,⟨(mul_le_mul_of_nonneg_left hh (by norm_num)).trans hf.2.1.1,hf.2.1.2⟩,
64
- ⟨(mul_le_mul_of_nonneg_left hh (by norm_num)).trans hf.2.2.1,hf.2.2.2⟩⟩
65
- end Station
66
-
67
- variable {A I J : Type} [Fintype A] [Fintype I] [Fintype J]
68
- set_option maxHeartbeats 800000 in
69
- theorem vacantBound (w : Wgt I) (v : I→ Wgt A) (K : I→ J → A→Prop) (P : A→Prop)
70
- (hw:IsLaw w) (hv:∀ i,IsLaw (v i))
71
- {b e ε:ℝ} (hb : 0<b)
72
- (he : ∀ i j,pr (mixW w v) (K i j) ≤ e)
73
- (hf : pr (mixW w v) P≤ε) :
74
- let S (i:I×I) := (∃ j,b< pr (v i.1) (K i.2 j)) ∨ b< pr (v i.2) P
75
- pr (pairW w w) S ≤ num J * (e/b)+ε/b := by
76
- classical
77
- intro S
78
- have hg Q c (h: pr (mixW w v) Q≤c) : pr w (fun i=> b< pr (v i) Q)≤ c/b := by
79
- refine (le_div_iff₀ hb).mpr ?_
80
- rw [mul_comm]
81
- unfold pr at h; rw [mixW_avg] at h
82
- let f i:=pr (v i) Q
83
- apply le_trans (b:=avg w f) ?_ h
84
- exact le_trans (mul_le_mul_of_nonneg_left (pr_mono hw.nz
85
- (q:=fun i=>b≤f i) (fun _ hh=>hh.le)) hb.le) (le_avg_markov hw.nz (fun i=> pr_nonneg (hv _).nz) b)
86
- let Q i:= pr w (fun x=>∃ j,b<pr (v x) (K i j))
87
- have hh i : Q i≤num J*(e/b) := ((pr_exists_le hw.nz _).trans
88
- (Finset.sum_le_sum fun j _ => hg _ _ (he i j))).trans_eq (by simp [num])
89
- let U (i:I×I):=∃ j,b<pr (v i.1) (K i.2 j)
90
- let V (i:I×I):=b<pr (v i.2) P
91
- apply (pr_or_le (p:=U) (q:=V) (pairW_law hw hw).nz).trans
92
- refine add_le_add ?_ ?_
93
- · unfold pr; rw [pairW_avg,avg_avg]; exact hw.avg_le hh
94
- unfold pr; rw [pairW_avg ]; exact hw.avg_le fun _=>hg _ _ hf
95
-
96
- end StatusAnalysis
97
- end HadwigerCounterexample
98
-
99
- end
100
-
101
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SuperlevelBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rare Leaf Events -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix Function
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ variable {p:Shape} {M n N K s0:ℕ}
13
+ namespace StatusAnalysis
14
+ variable {q:Format} {d e:Rates} {b:Bool}
15
+
16
+ namespace Quill
17
+ variable (w:Quill p q d b) (m:Mixer p n) (t : Tagging p (Messenger q))
18
+ (z : Messenger q→F)
19
+ def qualified (s:Charts p n d) (K :ℕ) (μ:Wgt (UnitType p n N)) (P : UnitType p n N→Prop) (a:ℝ) :=
20
+ 2*a ≤ pr μ P ∧ ∀ i,P i →μ i ≠0→ w.steady t z m K s i
21
+
22
+ theorem qualify_hit (s : Charts p n d) (K:ℕ) (μ:Wgt (UnitType p n N))
23
+ (P: UnitType p n N→Prop) (H:Keys (p:=p) t N→Prop) {a α:ℝ} (hα:0<α)
24
+ (h:w.qualified m t z s K μ P a)
25
+ (hw : IsLaw μ) (hg:∀ i,IsLaw (w.policies t z n i))
26
+ (hp: pr μ (fun i=>¬w.sober t z K H m α i) ≤ a) :
27
+ a*α ≤ pr (w.sales t z μ P m s) H := by
28
+ classical
29
+ let Q:=w.sober t z K H m α
30
+ let V i:=w.prowl s t z m i (fun i=>ind (H i))
31
+ have he:a ≤ pr μ (fun x=>P x∧ Q x) :=
32
+ (le_trans (by linarith only [hp,h.1]) (pr_shield hw.nz _ _))
33
+ unfold pr; rw [sales_mean]
34
+ refine (mul_le_mul_of_nonneg_right he hα.le).trans ?_
35
+ unfold pr; rw [←avg_mul]
36
+ unfold avg
37
+ refine Finset.sum_le_sum fun i _=> ?_
38
+ dsimp only
39
+ by_cases hi:μ i=0
40
+ · simp only [hi,zero_mul]; rfl
41
+ refine mul_le_mul_of_nonneg_left ?_ (hw.nz i)
42
+ have hv : 0≤ V i := avg_nonneg (prodW_law hg).nz (fun j=> mul_nonneg (ind_nonneg _) (ind_nonneg _))
43
+ by_cases hP:P i∧ Q i
44
+ · change ind (_∧_) *_ ≤ _*V i; rw [ind_one hP,ind_one hP.1,one_mul,one_mul]
45
+ exact hP.2 s (h.2 i hP.1 hi)
46
+ rw [ind_zero hP,zero_mul]; exact mul_nonneg (ind_nonneg _) hv
47
+ end Quill
48
+
49
+ namespace Station
50
+ variable {w:LeafMixture p n N} (t:Station p n N K w) (x:Typus p q d e)
51
+ (m:Mixer p n) (k: Fin (2^deckMax p K)) (μ:Wgt (UnitType p n N))
52
+
53
+ def charter (a:ℝ) (i:w.T×w.T) :=
54
+ x.permission ∧
55
+ x.qA.qualified m x.t x.z (t.cAxes i.1 d) K (partW μ i.1.val) (t.frontPage x m i.1 i.2 k) a ∧
56
+ x.qB.qualified m x.t x.z (t.cAxes i.2 e) K (partW μ i.2.val) (t.backPage x m i.1 i.2 k) a
57
+
58
+ def berth (a:ℝ) :=
59
+ pr (pairW (portionW μ w.T) (portionW μ w.T)) (charter t x m k μ a)
60
+
61
+ theorem charterWeak {a b:ℝ} (hh:a≤b) (i:w.T×w.T) (hf:charter t x m k μ b i) :
62
+ charter t x m k μ a i :=
63
+ ⟨hf.1,⟨(mul_le_mul_of_nonneg_left hh (by norm_num)).trans hf.2.1.1,hf.2.1.2⟩,
64
+ ⟨(mul_le_mul_of_nonneg_left hh (by norm_num)).trans hf.2.2.1,hf.2.2.2⟩⟩
65
+ end Station
66
+
67
+ variable {A I J : Type} [Fintype A] [Fintype I] [Fintype J]
68
+ set_option maxHeartbeats 800000 in
69
+ theorem vacantBound (w : Wgt I) (v : I→ Wgt A) (K : I→ J → A→Prop) (P : A→Prop)
70
+ (hw:IsLaw w) (hv:∀ i,IsLaw (v i))
71
+ {b e ε:ℝ} (hb : 0<b)
72
+ (he : ∀ i j,pr (mixW w v) (K i j) ≤ e)
73
+ (hf : pr (mixW w v) P≤ε) :
74
+ let S (i:I×I) := (∃ j,b< pr (v i.1) (K i.2 j)) ∨ b< pr (v i.2) P
75
+ pr (pairW w w) S ≤ num J * (e/b)+ε/b := by
76
+ classical
77
+ intro S
78
+ have hg Q c (h: pr (mixW w v) Q≤c) : pr w (fun i=> b< pr (v i) Q)≤ c/b := by
79
+ refine (le_div_iff₀ hb).mpr ?_
80
+ rw [mul_comm]
81
+ unfold pr at h; rw [mixW_avg] at h
82
+ let f i:=pr (v i) Q
83
+ apply le_trans (b:=avg w f) ?_ h
84
+ exact le_trans (mul_le_mul_of_nonneg_left (pr_mono hw.nz
85
+ (q:=fun i=>b≤f i) (fun _ hh=>hh.le)) hb.le) (le_avg_markov hw.nz (fun i=> pr_nonneg (hv _).nz) b)
86
+ let Q i:= pr w (fun x=>∃ j,b<pr (v x) (K i j))
87
+ have hh i : Q i≤num J*(e/b) := ((pr_exists_le hw.nz _).trans
88
+ (Finset.sum_le_sum fun j _ => hg _ _ (he i j))).trans_eq (by simp [num])
89
+ let U (i:I×I):=∃ j,b<pr (v i.1) (K i.2 j)
90
+ let V (i:I×I):=b<pr (v i.2) P
91
+ apply (pr_or_le (p:=U) (q:=V) (pairW_law hw hw).nz).trans
92
+ refine add_le_add ?_ ?_
93
+ · unfold pr; rw [pairW_avg,avg_avg]; exact hw.avg_le hh
94
+ unfold pr; rw [pairW_avg ]; exact hw.avg_le fun _=>hg _ _ hf
95
+
96
+ end StatusAnalysis
97
+ end HadwigerCounterexample
98
+
99
+ end
100
+
101
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RareTestEvents.lean CHANGED
@@ -1,132 +1,132 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.CompatibleOptionRealization
2
-
3
- namespace OAI
4
-
5
- /-! # Rare Test Events -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix LinearMap Module Function
10
- open scoped BigOperators Topology
11
- variable {p:Shape} {n N K M : ℕ}
12
- namespace StatusAnalysis
13
-
14
- def singles : Format:=fun _=>1
15
- def volume1 : Volumes:=fun _=>1
16
- theorem singles_vol : singles=toFormat volume1 := rfl
17
- theorem singles_card : Fintype.card (Messenger singles)=4 := by
18
- decide
19
- theorem singles_short : ∀ i,1≤singles i ∧ singles i≤7 :=by simp [singles]
20
- theorem funds_one {b : Bool} {d : Rates} (f: Fabric p singles d b) (i:Grid) :
21
- funds f.amp i=(f.amp ⟨i,(0:Fin 1)⟩).2 := by
22
- unfold funds
23
- let : Unique (Fin (singles i)) := (show Unique (Fin 1) from inferInstance)
24
- exact Fintype.sum_unique _
25
-
26
- theorem fourPens (s:Plan p n) (K:ℕ) (H : Stalls p) (h:booths p K s H)
27
- (ht : 2*frameBills p.g K+4 ≤Fintype.card (Label p.b)) :
28
- ∃ z:Messenger singles→Label p.b, Injective z ∧ ∀ i j, z i∉ H j := by
29
- classical
30
- let F:=H true ∪ H false; let T:=Fᶜ
31
- have hp : F.card≤ 2* frameBills p.g K :=
32
- (Finset.card_union_le _ _).trans ((add_le_add (h.1 _) (h.1 _)).trans_eq (two_mul _).symm)
33
- have he : Fintype.card (Messenger singles) ≤ Fintype.card (↑T:Type) := by
34
- rw [Fintype.card_coe,singles_card]; unfold T; rw [Finset.card_compl]; omega
35
- obtain ⟨i,hi⟩: ∃ i : Messenger singles → ↑T,Injective i := by
36
-
37
- obtain ⟨g⟩:=Function.Embedding.nonempty_of_card_le he
38
- exact ⟨g,g.injective⟩
39
- refine ⟨fun x=>(i x).val,Subtype.val_injective.comp hi,fun x b=>?_⟩
40
- have hh:(i x).val∉F:=Finset.mem_compl.mp (i x).property
41
- intro hx; cases b
42
- · exact hh (Finset.mem_union_right _ hx)
43
- exact hh (Finset.mem_union_left _ hx)
44
-
45
- variable {d:Rates}
46
- def coordSpec (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
47
- (w:∀ i:Nodes,Cell (d i)) := ∀ i,s i (w i)= m o i
48
-
49
- def beacon (p:Shape) (s:Charts p n d) (w:∀ i:Nodes,Cell (d i)) (b:Bool)
50
- (T: Cross p n) (z : Digest p.g) : Amounts p singles d b :=
51
- fun k =>
52
- let i:=parcel b k
53
- let j:= parcel (!b) k
54
- let x:=targetMark p s T i j
55
- (z,(z.diagO,x), z.diagO+dotProduct x (w i))
56
-
57
- set_option maxHeartbeats 800000 in
58
- theorem stillBeacon (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
59
- (w:∀ i:Nodes,Cell (d i)) (b:Bool) (T:Cross p n) (z:Digest p.g)
60
- (h:coordSpec m o s w) (hT:∀ i,cardTone m o T i= glint p (m o)) :
61
- still b (beacon p s w b T z) s T := by
62
- classical
63
- let f:Amounts p singles d b:= beacon p s w b T z
64
- have hf (i): funds f i=(f ⟨i,(0:Fin 1)⟩).2 := by
65
- unfold funds; let : Unique (Fin (singles i)) := (show Unique (Fin 1) from inferInstance); exact Fintype.sum_unique _
66
- change (∀ i, _ ) ∧ _
67
- constructor
68
- · intro i
69
- change (funds f i).1.2=_
70
- rw [hf]
71
- rfl
72
- intro i
73
- have hh t q : couple _ (funds f (transit b (t,q))) =
74
- contract p T t q (m o t)+role p n (m o t) := by
75
- rw [hf]
76
- let k : Messenger singles:=⟨transit b (t,q),(0:Fin 1)⟩
77
- let a:= targetMark p s T (parcel b k) (parcel (!b) k)
78
- change z.diagO+(z.diagO+dotProduct a (w _))=_
79
- rw [← add_assoc,char_two,zero_add]; unfold a targetMark
80
- rw [← roll_project]
81
- have he (i t): (contract p T i t+role p n) (s i (w i))=contract p T i t (m o i)+role p n (m o i) :=
82
- by rw [h]; rfl
83
- rw [he]; cases b <;> rfl
84
- change couple _ (funds f _) = couple _ (funds f _)
85
- simp_rw [hh]
86
- have ht:= hT i
87
- unfold glint cardTone at ht; rw [Fintype.sum_bool,Fintype.sum_bool] at ht
88
- apply sub_eq_zero.mp
89
- rw [ZModModule.sub_eq_add]
90
- rw [add_add_add_comm,ht,char_two]
91
-
92
- set_option maxHeartbeats 700000 in
93
- theorem steadyBeacon {plan : Plan p n} (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
94
- (w:∀ i:Nodes,Cell (d i)) (b:Bool) (T:Cross p n)
95
- (q:Quill p singles d b) (t:Tagging p (Messenger singles))
96
- (g: Mixer p n) (z:Digest p.g) (K:ℕ)
97
- (hd:∀ i,d i≤K^2)
98
- (ha:q.amp=beacon p s w b T z)
99
- (hk:planRank plan≤K)
100
- (hs:charted s plan)
101
- (h:coordSpec m o s w)
102
- (hF : PreparationParameters.frameSide p g o)
103
- (hg : exactInk p g m o) :
104
- q.steady t (fun _=>1) g K s o := by
105
- classical
106
- refine ⟨hF,fun i=> ⟨hd _,(hs _).2,fun y=>?_⟩,fun i=>by rw [ha];rfl, fun i v hv => ?_⟩
107
- · refine (effective_rank (i:=parcel b i) ?_).trans hk
108
- rw [← (hs _).1]; exact mem_range_self _ _
109
- · let l:= q.allure t (fun _=>1) i; let j:=parcel b i
110
- let V:= l.profile j o g (s j) v
111
- have ht : V.1 = (q.amp i).1 ∧ V.2.1=(q.amp i).2.1 → V=q.amp i := by
112
- rintro ⟨h1,h2⟩
113
- apply Prod.ext h1 (Prod.ext h2 _)
114
- rw [ha] at h2 ⊢
115
- let a:= useAtom p l.l l.s l.f v
116
- let k:=targetMark p s T j (parcel (!b) i)
117
- have heq : V.2.2 = z.diagO + dotProduct k (w j) := by
118
- have he := exactInner g m o hg j a
119
- have hx : a∈Xspace p n:= mem_useAtom ..
120
- have hg' : role p n a=z.diagO := congrArg Prod.fst h2
121
- have hk : roll (s j) (Tsym g a)=k := congrArg Prod.snd h2
122
- change innerP p o j a=_
123
- rw [he hx, grad_val,hg',T_swap, ←h,roll_project,hk]
124
- exact heq
125
- exact (hv ht).elim
126
-
127
- end StatusAnalysis
128
- end HadwigerCounterexample
129
-
130
- end
131
-
132
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.CompatibleOptionRealization
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rare Test Events -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix LinearMap Module Function
10
+ open scoped BigOperators Topology
11
+ variable {p:Shape} {n N K M : ℕ}
12
+ namespace StatusAnalysis
13
+
14
+ def singles : Format:=fun _=>1
15
+ def volume1 : Volumes:=fun _=>1
16
+ theorem singles_vol : singles=toFormat volume1 := rfl
17
+ theorem singles_card : Fintype.card (Messenger singles)=4 := by
18
+ decide
19
+ theorem singles_short : ∀ i,1≤singles i ∧ singles i≤7 :=by simp [singles]
20
+ theorem funds_one {b : Bool} {d : Rates} (f: Fabric p singles d b) (i:Grid) :
21
+ funds f.amp i=(f.amp ⟨i,(0:Fin 1)⟩).2 := by
22
+ unfold funds
23
+ let : Unique (Fin (singles i)) := (show Unique (Fin 1) from inferInstance)
24
+ exact Fintype.sum_unique _
25
+
26
+ theorem fourPens (s:Plan p n) (K:ℕ) (H : Stalls p) (h:booths p K s H)
27
+ (ht : 2*frameBills p.g K+4 ≤Fintype.card (Label p.b)) :
28
+ ∃ z:Messenger singles→Label p.b, Injective z ∧ ∀ i j, z i∉ H j := by
29
+ classical
30
+ let F:=H true ∪ H false; let T:=Fᶜ
31
+ have hp : F.card≤ 2* frameBills p.g K :=
32
+ (Finset.card_union_le _ _).trans ((add_le_add (h.1 _) (h.1 _)).trans_eq (two_mul _).symm)
33
+ have he : Fintype.card (Messenger singles) ≤ Fintype.card (↑T:Type) := by
34
+ rw [Fintype.card_coe,singles_card]; unfold T; rw [Finset.card_compl]; omega
35
+ obtain ⟨i,hi⟩: ∃ i : Messenger singles → ↑T,Injective i := by
36
+
37
+ obtain ⟨g⟩:=Function.Embedding.nonempty_of_card_le he
38
+ exact ⟨g,g.injective⟩
39
+ refine ⟨fun x=>(i x).val,Subtype.val_injective.comp hi,fun x b=>?_⟩
40
+ have hh:(i x).val∉F:=Finset.mem_compl.mp (i x).property
41
+ intro hx; cases b
42
+ · exact hh (Finset.mem_union_right _ hx)
43
+ exact hh (Finset.mem_union_left _ hx)
44
+
45
+ variable {d:Rates}
46
+ def coordSpec (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
47
+ (w:∀ i:Nodes,Cell (d i)) := ∀ i,s i (w i)= m o i
48
+
49
+ def beacon (p:Shape) (s:Charts p n d) (w:∀ i:Nodes,Cell (d i)) (b:Bool)
50
+ (T: Cross p n) (z : Digest p.g) : Amounts p singles d b :=
51
+ fun k =>
52
+ let i:=parcel b k
53
+ let j:= parcel (!b) k
54
+ let x:=targetMark p s T i j
55
+ (z,(z.diagO,x), z.diagO+dotProduct x (w i))
56
+
57
+ set_option maxHeartbeats 800000 in
58
+ theorem stillBeacon (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
59
+ (w:∀ i:Nodes,Cell (d i)) (b:Bool) (T:Cross p n) (z:Digest p.g)
60
+ (h:coordSpec m o s w) (hT:∀ i,cardTone m o T i= glint p (m o)) :
61
+ still b (beacon p s w b T z) s T := by
62
+ classical
63
+ let f:Amounts p singles d b:= beacon p s w b T z
64
+ have hf (i): funds f i=(f ⟨i,(0:Fin 1)⟩).2 := by
65
+ unfold funds; let : Unique (Fin (singles i)) := (show Unique (Fin 1) from inferInstance); exact Fintype.sum_unique _
66
+ change (∀ i, _ ) ∧ _
67
+ constructor
68
+ · intro i
69
+ change (funds f i).1.2=_
70
+ rw [hf]
71
+ rfl
72
+ intro i
73
+ have hh t q : couple _ (funds f (transit b (t,q))) =
74
+ contract p T t q (m o t)+role p n (m o t) := by
75
+ rw [hf]
76
+ let k : Messenger singles:=⟨transit b (t,q),(0:Fin 1)⟩
77
+ let a:= targetMark p s T (parcel b k) (parcel (!b) k)
78
+ change z.diagO+(z.diagO+dotProduct a (w _))=_
79
+ rw [← add_assoc,char_two,zero_add]; unfold a targetMark
80
+ rw [← roll_project]
81
+ have he (i t): (contract p T i t+role p n) (s i (w i))=contract p T i t (m o i)+role p n (m o i) :=
82
+ by rw [h]; rfl
83
+ rw [he]; cases b <;> rfl
84
+ change couple _ (funds f _) = couple _ (funds f _)
85
+ simp_rw [hh]
86
+ have ht:= hT i
87
+ unfold glint cardTone at ht; rw [Fintype.sum_bool,Fintype.sum_bool] at ht
88
+ apply sub_eq_zero.mp
89
+ rw [ZModModule.sub_eq_add]
90
+ rw [add_add_add_comm,ht,char_two]
91
+
92
+ set_option maxHeartbeats 700000 in
93
+ theorem steadyBeacon {plan : Plan p n} (m:BMark p n N) (o:UnitType p n N) (s:Charts p n d)
94
+ (w:∀ i:Nodes,Cell (d i)) (b:Bool) (T:Cross p n)
95
+ (q:Quill p singles d b) (t:Tagging p (Messenger singles))
96
+ (g: Mixer p n) (z:Digest p.g) (K:ℕ)
97
+ (hd:∀ i,d i≤K^2)
98
+ (ha:q.amp=beacon p s w b T z)
99
+ (hk:planRank plan≤K)
100
+ (hs:charted s plan)
101
+ (h:coordSpec m o s w)
102
+ (hF : PreparationParameters.frameSide p g o)
103
+ (hg : exactInk p g m o) :
104
+ q.steady t (fun _=>1) g K s o := by
105
+ classical
106
+ refine ⟨hF,fun i=> ⟨hd _,(hs _).2,fun y=>?_⟩,fun i=>by rw [ha];rfl, fun i v hv => ?_⟩
107
+ · refine (effective_rank (i:=parcel b i) ?_).trans hk
108
+ rw [← (hs _).1]; exact mem_range_self _ _
109
+ · let l:= q.allure t (fun _=>1) i; let j:=parcel b i
110
+ let V:= l.profile j o g (s j) v
111
+ have ht : V.1 = (q.amp i).1 ∧ V.2.1=(q.amp i).2.1 → V=q.amp i := by
112
+ rintro ⟨h1,h2⟩
113
+ apply Prod.ext h1 (Prod.ext h2 _)
114
+ rw [ha] at h2 ⊢
115
+ let a:= useAtom p l.l l.s l.f v
116
+ let k:=targetMark p s T j (parcel (!b) i)
117
+ have heq : V.2.2 = z.diagO + dotProduct k (w j) := by
118
+ have he := exactInner g m o hg j a
119
+ have hx : a∈Xspace p n:= mem_useAtom ..
120
+ have hg' : role p n a=z.diagO := congrArg Prod.fst h2
121
+ have hk : roll (s j) (Tsym g a)=k := congrArg Prod.snd h2
122
+ change innerP p o j a=_
123
+ rw [he hx, grad_val,hg',T_swap, ←h,roll_project,hk]
124
+ exact heq
125
+ exact (hv ht).elim
126
+
127
+ end StatusAnalysis
128
+ end HadwigerCounterexample
129
+
130
+ end
131
+
132
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RawFrameLaws.lean CHANGED
@@ -1,185 +1,185 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.AffineFrames
2
- import OAI.Combinatorics.HadwigerCounterexample.MixedImageBounds
3
-
4
- namespace OAI
5
-
6
- /-! # Raw Frame Laws -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix
11
- open scoped BigOperators
12
-
13
- variable {p : Shape} {n N : ℕ}
14
-
15
- instance rowDecidableEq (p : Shape) (n : ℕ) : DecidableEq (Row p n) := inferInstance
16
- instance fullDecidableEq (p : Shape) (n : ℕ) : DecidableEq (Full p n) := inferInstance
17
- instance fullFintype (p : Shape) (n : ℕ) : Fintype (Full p n) := inferInstance
18
- instance oframeFintype (p : Shape) (n N : ℕ) : Fintype (Oframe p n N) := inferInstance
19
- instance orientFintype (p : Shape) (n N : ℕ) : Fintype (Orient p n N) := inferInstance
20
-
21
- def gramCond (m : Mixer p n) (G : Mat (Full p n) (Full p n)) : Prop :=
22
- G.toBlocks₁₁ = selfM p n m.mixM ∧ G.toBlocks₂₁ = 0 ∧ G.toBlocks₁₂ = 0
23
-
24
- theorem gramCond_exists (m : Mixer p n) : ∃ G, gramCond m G := by
25
- refine ⟨fromBlocks (selfM p n m.mixM) 0 0 0,?_,?_,?_⟩ <;> rfl
26
-
27
- theorem valid_iff (m : Mixer p n) (X : Oframe p n N) :
28
- valid (selfM p n m.mixM) X ↔ FramesAt (gramCond m) X := by
29
- have he : (X.1ᵀ*X.2).toBlocks₁₁ = (primary X.1)ᵀ * primary X.2 := by ext; rfl
30
- have hf : (X.1ᵀ*X.2).toBlocks₂₁ = (channel X.1)ᵀ * primary X.2 := by ext; rfl
31
- have hg : (X.1ᵀ*X.2).toBlocks₁₂ = (primary X.1)ᵀ * channel X.2 := by ext; rfl
32
- unfold valid FramesAt gramCond
33
- rw [he,hf,hg]; tauto
34
-
35
- def raw (m : Mixer p n) (N : ℕ) : Wgt (Orient p n N) :=
36
- prodW (fun (_ : Comp p.g) => unifOn (FramesAt (U := Fin N) (gramCond m)))
37
-
38
- theorem raw_law (m : Mixer p n) (hN : 2*num (Full p n)<N) : IsLaw (raw m N) :=
39
- prodW_law (fun _ => unifOn_law (framesAt_exists (gramCond_exists m)
40
- (show num (Full p n) + num (Full p n) < num (Fin N) by
41
- rw [← two_mul]; simpa [num] using hN)))
42
-
43
- theorem raw_nonneg (m : Mixer p n) (X : Orient p n N) : 0 ≤ raw m N X :=
44
- prodW_nonneg (fun _ _ => (unifOn_sub _).nz _) _
45
-
46
- theorem raw_carried (m : Mixer p n) (N : ℕ) : carried (raw m N) (frameLaw m) := by
47
- intro X h
48
- unfold frameLaw at h
49
- push Not at h
50
- obtain ⟨e,he⟩ := h
51
- unfold raw prodW
52
- apply Finset.prod_eq_zero (Finset.mem_univ e)
53
- exact unifOn_carried _ _ ((valid_iff _ _).not.mp he)
54
-
55
- abbrev UnitType (p : Shape) (n N : ℕ) := Orient p n N × Orient p n N
56
- abbrev Place (p : Shape) := Comp p.g × Bool
57
- abbrev JointIdx (p : Shape) (n : ℕ) := Full p n ⊕ Full p n
58
-
59
- def takeSign (w : Oframe p n N) (b : Bool) := if b then w.1 else w.2
60
-
61
- def images (x : UnitType p n N) (z : Place p) : Mat (Fin N) (JointIdx p n) :=
62
- fromCols (takeSign (x.1 z.1) z.2) (takeSign (x.2 z.1) z.2)
63
-
64
- abbrev Dir (p : Shape) (n : ℕ) := Vec (JointIdx p n)
65
- abbrev Plan (p : Shape) (n : ℕ) := Place p → Submodule F (Dir p n)
66
- def planRank (s : Plan p n) := ∑ i, dim (s i)
67
-
68
- /-- Pin data: stored subspaces of directions with assigned images. We store a
69
- full linear map for convenience; only its restriction to the pin directions
70
- at each place is used. Counts charge only for the restrictions. -/
71
- structure Pin (p : Shape) (n N : ℕ) where
72
- sp : Plan p n
73
- target : Place p → Mat (Fin N) (JointIdx p n)
74
-
75
- def Pin.agree (a : Pin p n N) (x : UnitType p n N) :=
76
- ∀ i, ∀ v ∈ a.sp i, images x i *ᵥ v = a.target i *ᵥ v
77
-
78
- theorem Pin.agree_pack {a : Pin p n N} {x : UnitType p n N} :
79
- a.agree x ↔ ∀ i : Place p, images x i * pack (a.sp i) = a.target i * pack (a.sp i) := by
80
- have heq {I J L : Type} [Fintype I] [Fintype J] [Fintype L] (P Q : Mat I J) (M : Mat J L) :
81
- (∀ v ∈ colSp M, P *ᵥ v = Q *ᵥ v) ↔ P*M=Q*M := by
82
- constructor
83
- · intro h
84
- apply coe_mv_inj
85
- exact LinearMap.ext fun v => by
86
- change (P*M) *ᵥ v=(Q*M) *ᵥ v
87
- rw [← mulVec_mulVec,← mulVec_mulVec]
88
- exact h _ ⟨v,rfl⟩
89
- · rintro h x ⟨v,rfl⟩
90
- change P *ᵥ (M *ᵥ v) = Q *ᵥ (M *ᵥ v)
91
- rw [mulVec_mulVec,mulVec_mulVec,h]
92
- unfold Pin.agree
93
- apply forall_congr'; intro i
94
- have hh := heq (images x i) (a.target i) (pack (a.sp i))
95
- rw [colSp_pack] at hh
96
- exact hh
97
-
98
- theorem bp_sum {A : Type*} (s : Finset A) (f : A → ℝ) :
99
- bp (∑ i ∈ s, f i) = ∏ i ∈ s, bp (f i) := by
100
- classical
101
- induction s using Finset.induction with
102
- | empty => simp
103
- | insert a s ha hi => rw [Finset.sum_insert ha, Finset.prod_insert ha,bp_add,hi]
104
-
105
- /-- Image cap under two independent raw orientations. Uniform over all
106
- simultaneous exact-image specifications. -/
107
- theorem reference_cap (m : Mixer p n) (a : Pin p n N) {δ : ℝ} (hd : 0 < δ)
108
- (hu : 2*num (Full p n) - N ≤ -1)
109
- (hδ : 2*num (Full p n) ≤ δ/2 * N)
110
- (hA : 4*num (Comp p.g) ≤ δ/2 * N) :
111
- pr (pairW (raw m N) (raw m N)) a.agree ≤ bp (-(1-δ)*(planRank a.sp)*N) := by
112
- let s := a.sp
113
- let μ := raw m N
114
- have hn : 2*num (Full p n)<N := by linarith only [hu]
115
- have hh := raw_law m hn
116
- by_cases he : planRank s = 0
117
- · change _ ≤ bp (_ * (planRank s) * _)
118
- rw [he]
119
- simp only [Nat.cast_zero,mul_zero,zero_mul,bp_zero]
120
- exact le_trans (pr_le_tot (pairW_law hh hh).nz) (pairW_law hh hh).total.le
121
- let g (e : Comp p.g) := unifOn (FramesAt (U:=Fin N) (gramCond m))
122
- let D (e : Place p) := pack (s e)
123
- let rankval (e : Place p) := (dim (s e) : ℝ)
124
- let f (e : Comp p.g) (w : Oframe p n N × Oframe p n N) :=
125
- mixImage (D (e,true)) (w.1.1,w.2.1) = a.target (e,true) * D (e,true) ∧
126
- mixImage (D (e,false)) (w.1.2,w.2.2) = a.target (e,false) * D (e,false)
127
- have hf : pr (pairW μ μ) a.agree = ∏ e, pr (pairW (g e) (g e)) (f e) := by
128
- have hfun : a.agree = (fun x => ∀ e, f e (x.1 e,x.2 e)) := by
129
- funext x; apply propext
130
- rw [Pin.agree_pack]
131
- constructor
132
- · intro hi e
133
- exact ⟨hi (e,true),hi (e,false)⟩
134
- · rintro h ⟨e,b⟩; cases b
135
- · exact (h e).2
136
- · exact (h e).1
137
- rw [hfun]
138
- exact prodW_pair_pr g g f
139
- let y := fun e : Comp p.g => 4 - (1-δ/2) * (rankval (e,true)+rankval (e,false))*N
140
- have hb (e) : pr (pairW (g e) (g e)) (f e) ≤ bp (y e) := by
141
- have h1 := comp_image_cap (gramCond_exists m)
142
- (show 2*num (Full p n)-num (Fin N) ≤ -1 by simpa [num] using hu)
143
- _ _ (pack_inj (s (e,true))) (pack_inj (s (e,false))) (a.target (e,true)*D (e,true))
144
- (a.target (e,false)*D (e,false))
145
- have hnum (n : ℕ) : num (Fin n)=(n:ℝ) := by simp [num]
146
- change pr _ _ ≤ _
147
- apply le_trans h1
148
- rw [show (16:ℝ)=bp 4 by
149
- have hh := bp_nat 4; norm_num at hh ⊢; linarith,← bp_add,hnum,hnum,hnum]
150
- apply bp_le
151
- let rp := rankval (e,true)
152
- let rm := rankval (e,false)
153
- change 4+(-((N:ℝ))*rp-(_-2*num (Full p n))*rm) ≤ 4 - _ * (rp+rm)*_
154
- have hp := mul_nonneg (show 0 ≤ rp from Nat.cast_nonneg _) (mul_nonneg hd.le
155
- (show (0:ℝ) ≤ N from Nat.cast_nonneg _))
156
- have hg := mul_le_mul_of_nonneg_right hδ (show 0 ≤ rm from Nat.cast_nonneg _)
157
- linarith only [hp,hg]
158
- have hg : pr (pairW μ μ) a.agree ≤ bp (∑ i, y i) := by
159
- rw [hf,bp_sum]
160
- apply Finset.prod_le_prod₀ _ fun i _ => hb i
161
- exact fun i _ => pr_nonneg
162
- (subLaw_pair (unifOn_sub _) (unifOn_sub _)).nz
163
- apply hg.trans
164
- apply bp_le
165
- have ht : (planRank s : ℝ) = ∑ i : Comp p.g, (rankval (i,true) + rankval (i,false)) := by
166
- rw [planRank,Fintype.sum_prod_type]
167
- simp only [Fintype.sum_bool, Nat.cast_sum,Nat.cast_add,rankval]
168
- have h1 : ∑ i, y i = 4*num (Comp p.g) - (1-δ/2)*(planRank s)*N := by
169
- dsimp only [y]
170
- rw [Finset.sum_sub_distrib,← Finset.sum_mul, ← Finset.mul_sum, ← ht]
171
- simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,num]
172
- ring
173
- have hk : 1 ≤ (planRank s : ℝ) := by
174
- exact_mod_cast Nat.one_le_iff_ne_zero.mpr he
175
- rw [h1]
176
- change _ ≤ -(1-δ)*(planRank s)*N
177
- have he := mul_le_mul_of_nonneg_right hk
178
- (mul_nonneg hd.le (show (0:ℝ) ≤ N from Nat.cast_nonneg _))
179
- linarith only [hA,he]
180
-
181
- end HadwigerCounterexample
182
-
183
- end
184
-
185
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.AffineFrames
2
+ import OAI.Combinatorics.HadwigerCounterexample.MixedImageBounds
3
+
4
+ namespace OAI
5
+
6
+ /-! # Raw Frame Laws -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix
11
+ open scoped BigOperators
12
+
13
+ variable {p : Shape} {n N : ℕ}
14
+
15
+ instance rowDecidableEq (p : Shape) (n : ℕ) : DecidableEq (Row p n) := inferInstance
16
+ instance fullDecidableEq (p : Shape) (n : ℕ) : DecidableEq (Full p n) := inferInstance
17
+ instance fullFintype (p : Shape) (n : ℕ) : Fintype (Full p n) := inferInstance
18
+ instance oframeFintype (p : Shape) (n N : ℕ) : Fintype (Oframe p n N) := inferInstance
19
+ instance orientFintype (p : Shape) (n N : ℕ) : Fintype (Orient p n N) := inferInstance
20
+
21
+ def gramCond (m : Mixer p n) (G : Mat (Full p n) (Full p n)) : Prop :=
22
+ G.toBlocks₁₁ = selfM p n m.mixM ∧ G.toBlocks₂₁ = 0 ∧ G.toBlocks₁₂ = 0
23
+
24
+ theorem gramCond_exists (m : Mixer p n) : ∃ G, gramCond m G := by
25
+ refine ⟨fromBlocks (selfM p n m.mixM) 0 0 0,?_,?_,?_⟩ <;> rfl
26
+
27
+ theorem valid_iff (m : Mixer p n) (X : Oframe p n N) :
28
+ valid (selfM p n m.mixM) X ↔ FramesAt (gramCond m) X := by
29
+ have he : (X.1ᵀ*X.2).toBlocks₁₁ = (primary X.1)ᵀ * primary X.2 := by ext; rfl
30
+ have hf : (X.1ᵀ*X.2).toBlocks₂₁ = (channel X.1)ᵀ * primary X.2 := by ext; rfl
31
+ have hg : (X.1ᵀ*X.2).toBlocks₁₂ = (primary X.1)ᵀ * channel X.2 := by ext; rfl
32
+ unfold valid FramesAt gramCond
33
+ rw [he,hf,hg]; tauto
34
+
35
+ def raw (m : Mixer p n) (N : ℕ) : Wgt (Orient p n N) :=
36
+ prodW (fun (_ : Comp p.g) => unifOn (FramesAt (U := Fin N) (gramCond m)))
37
+
38
+ theorem raw_law (m : Mixer p n) (hN : 2*num (Full p n)<N) : IsLaw (raw m N) :=
39
+ prodW_law (fun _ => unifOn_law (framesAt_exists (gramCond_exists m)
40
+ (show num (Full p n) + num (Full p n) < num (Fin N) by
41
+ rw [← two_mul]; simpa [num] using hN)))
42
+
43
+ theorem raw_nonneg (m : Mixer p n) (X : Orient p n N) : 0 ≤ raw m N X :=
44
+ prodW_nonneg (fun _ _ => (unifOn_sub _).nz _) _
45
+
46
+ theorem raw_carried (m : Mixer p n) (N : ℕ) : carried (raw m N) (frameLaw m) := by
47
+ intro X h
48
+ unfold frameLaw at h
49
+ push Not at h
50
+ obtain ⟨e,he⟩ := h
51
+ unfold raw prodW
52
+ apply Finset.prod_eq_zero (Finset.mem_univ e)
53
+ exact unifOn_carried _ _ ((valid_iff _ _).not.mp he)
54
+
55
+ abbrev UnitType (p : Shape) (n N : ℕ) := Orient p n N × Orient p n N
56
+ abbrev Place (p : Shape) := Comp p.g × Bool
57
+ abbrev JointIdx (p : Shape) (n : ℕ) := Full p n ⊕ Full p n
58
+
59
+ def takeSign (w : Oframe p n N) (b : Bool) := if b then w.1 else w.2
60
+
61
+ def images (x : UnitType p n N) (z : Place p) : Mat (Fin N) (JointIdx p n) :=
62
+ fromCols (takeSign (x.1 z.1) z.2) (takeSign (x.2 z.1) z.2)
63
+
64
+ abbrev Dir (p : Shape) (n : ℕ) := Vec (JointIdx p n)
65
+ abbrev Plan (p : Shape) (n : ℕ) := Place p → Submodule F (Dir p n)
66
+ def planRank (s : Plan p n) := ∑ i, dim (s i)
67
+
68
+ /-- Pin data: stored subspaces of directions with assigned images. We store a
69
+ full linear map for convenience; only its restriction to the pin directions
70
+ at each place is used. Counts charge only for the restrictions. -/
71
+ structure Pin (p : Shape) (n N : ℕ) where
72
+ sp : Plan p n
73
+ target : Place p → Mat (Fin N) (JointIdx p n)
74
+
75
+ def Pin.agree (a : Pin p n N) (x : UnitType p n N) :=
76
+ ∀ i, ∀ v ∈ a.sp i, images x i *ᵥ v = a.target i *ᵥ v
77
+
78
+ theorem Pin.agree_pack {a : Pin p n N} {x : UnitType p n N} :
79
+ a.agree x ↔ ∀ i : Place p, images x i * pack (a.sp i) = a.target i * pack (a.sp i) := by
80
+ have heq {I J L : Type} [Fintype I] [Fintype J] [Fintype L] (P Q : Mat I J) (M : Mat J L) :
81
+ (∀ v ∈ colSp M, P *ᵥ v = Q *ᵥ v) ↔ P*M=Q*M := by
82
+ constructor
83
+ · intro h
84
+ apply coe_mv_inj
85
+ exact LinearMap.ext fun v => by
86
+ change (P*M) *ᵥ v=(Q*M) *ᵥ v
87
+ rw [← mulVec_mulVec,← mulVec_mulVec]
88
+ exact h _ ⟨v,rfl⟩
89
+ · rintro h x ⟨v,rfl⟩
90
+ change P *ᵥ (M *ᵥ v) = Q *ᵥ (M *ᵥ v)
91
+ rw [mulVec_mulVec,mulVec_mulVec,h]
92
+ unfold Pin.agree
93
+ apply forall_congr'; intro i
94
+ have hh := heq (images x i) (a.target i) (pack (a.sp i))
95
+ rw [colSp_pack] at hh
96
+ exact hh
97
+
98
+ theorem bp_sum {A : Type*} (s : Finset A) (f : A → ℝ) :
99
+ bp (∑ i ∈ s, f i) = ∏ i ∈ s, bp (f i) := by
100
+ classical
101
+ induction s using Finset.induction with
102
+ | empty => simp
103
+ | insert a s ha hi => rw [Finset.sum_insert ha, Finset.prod_insert ha,bp_add,hi]
104
+
105
+ /-- Image cap under two independent raw orientations. Uniform over all
106
+ simultaneous exact-image specifications. -/
107
+ theorem reference_cap (m : Mixer p n) (a : Pin p n N) {δ : ℝ} (hd : 0 < δ)
108
+ (hu : 2*num (Full p n) - N ≤ -1)
109
+ (hδ : 2*num (Full p n) ≤ δ/2 * N)
110
+ (hA : 4*num (Comp p.g) ≤ δ/2 * N) :
111
+ pr (pairW (raw m N) (raw m N)) a.agree ≤ bp (-(1-δ)*(planRank a.sp)*N) := by
112
+ let s := a.sp
113
+ let μ := raw m N
114
+ have hn : 2*num (Full p n)<N := by linarith only [hu]
115
+ have hh := raw_law m hn
116
+ by_cases he : planRank s = 0
117
+ · change _ ≤ bp (_ * (planRank s) * _)
118
+ rw [he]
119
+ simp only [Nat.cast_zero,mul_zero,zero_mul,bp_zero]
120
+ exact le_trans (pr_le_tot (pairW_law hh hh).nz) (pairW_law hh hh).total.le
121
+ let g (e : Comp p.g) := unifOn (FramesAt (U:=Fin N) (gramCond m))
122
+ let D (e : Place p) := pack (s e)
123
+ let rankval (e : Place p) := (dim (s e) : ℝ)
124
+ let f (e : Comp p.g) (w : Oframe p n N × Oframe p n N) :=
125
+ mixImage (D (e,true)) (w.1.1,w.2.1) = a.target (e,true) * D (e,true) ∧
126
+ mixImage (D (e,false)) (w.1.2,w.2.2) = a.target (e,false) * D (e,false)
127
+ have hf : pr (pairW μ μ) a.agree = ∏ e, pr (pairW (g e) (g e)) (f e) := by
128
+ have hfun : a.agree = (fun x => ∀ e, f e (x.1 e,x.2 e)) := by
129
+ funext x; apply propext
130
+ rw [Pin.agree_pack]
131
+ constructor
132
+ · intro hi e
133
+ exact ⟨hi (e,true),hi (e,false)⟩
134
+ · rintro h ⟨e,b⟩; cases b
135
+ · exact (h e).2
136
+ · exact (h e).1
137
+ rw [hfun]
138
+ exact prodW_pair_pr g g f
139
+ let y := fun e : Comp p.g => 4 - (1-δ/2) * (rankval (e,true)+rankval (e,false))*N
140
+ have hb (e) : pr (pairW (g e) (g e)) (f e) ≤ bp (y e) := by
141
+ have h1 := comp_image_cap (gramCond_exists m)
142
+ (show 2*num (Full p n)-num (Fin N) ≤ -1 by simpa [num] using hu)
143
+ _ _ (pack_inj (s (e,true))) (pack_inj (s (e,false))) (a.target (e,true)*D (e,true))
144
+ (a.target (e,false)*D (e,false))
145
+ have hnum (n : ℕ) : num (Fin n)=(n:ℝ) := by simp [num]
146
+ change pr _ _ ≤ _
147
+ apply le_trans h1
148
+ rw [show (16:ℝ)=bp 4 by
149
+ have hh := bp_nat 4; norm_num at hh ⊢; linarith,← bp_add,hnum,hnum,hnum]
150
+ apply bp_le
151
+ let rp := rankval (e,true)
152
+ let rm := rankval (e,false)
153
+ change 4+(-((N:ℝ))*rp-(_-2*num (Full p n))*rm) ≤ 4 - _ * (rp+rm)*_
154
+ have hp := mul_nonneg (show 0 ≤ rp from Nat.cast_nonneg _) (mul_nonneg hd.le
155
+ (show (0:ℝ) ≤ N from Nat.cast_nonneg _))
156
+ have hg := mul_le_mul_of_nonneg_right hδ (show 0 ≤ rm from Nat.cast_nonneg _)
157
+ linarith only [hp,hg]
158
+ have hg : pr (pairW μ μ) a.agree ≤ bp (∑ i, y i) := by
159
+ rw [hf,bp_sum]
160
+ apply Finset.prod_le_prod₀ _ fun i _ => hb i
161
+ exact fun i _ => pr_nonneg
162
+ (subLaw_pair (unifOn_sub _) (unifOn_sub _)).nz
163
+ apply hg.trans
164
+ apply bp_le
165
+ have ht : (planRank s : ℝ) = ∑ i : Comp p.g, (rankval (i,true) + rankval (i,false)) := by
166
+ rw [planRank,Fintype.sum_prod_type]
167
+ simp only [Fintype.sum_bool, Nat.cast_sum,Nat.cast_add,rankval]
168
+ have h1 : ∑ i, y i = 4*num (Comp p.g) - (1-δ/2)*(planRank s)*N := by
169
+ dsimp only [y]
170
+ rw [Finset.sum_sub_distrib,← Finset.sum_mul, ← Finset.mul_sum, ← ht]
171
+ simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul,num]
172
+ ring
173
+ have hk : 1 ≤ (planRank s : ℝ) := by
174
+ exact_mod_cast Nat.one_le_iff_ne_zero.mpr he
175
+ rw [h1]
176
+ change _ ≤ -(1-δ)*(planRank s)*N
177
+ have he := mul_le_mul_of_nonneg_right hk
178
+ (mul_nonneg hd.le (show (0:ℝ) ≤ N from Nat.cast_nonneg _))
179
+ linarith only [hA,he]
180
+
181
+ end HadwigerCounterexample
182
+
183
+ end
184
+
185
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RealizationConditions.lean CHANGED
@@ -1,93 +1,93 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.KeyDirections
2
-
3
- namespace OAI
4
-
5
- /-! # Realization Conditions -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
12
-
13
- namespace Volley
14
- variable (v w : Volley p n I)
15
-
16
- def legal (t : Tagging p I) := ∀ i : I, allows (t i) (v.par i)
17
- def diagonalAt (i : I) := eta p n (mom p (v.sel i) (v.par i))
18
- def bounded (w' : I→Bool) := ∀ (i j : Bool), 1≤ (v.shoots w' i j).card ∧
19
- (v.shoots w' i j).card ≤7
20
-
21
- /-- Conditions for one orientation of roles, §5 (scalar recipe). -/
22
- structure scalarRecipe (t : Tagging p I) (m : Mixer p n) (x : UnitType p n N) (S : Plan p n)
23
- (M : Cross p n) : Prop where
24
- summ (i j : Bool) : ∑ a ∈ v.shoots w.obj i j,v.diagonalAt a=1
25
- coupled (j : Bool) : ((innerP p x true)+role p n) (v.sumAt t w.obj true j) =
26
- ((innerP p x false)+role p n) (v.sumAt t w.obj false j)
27
- gradient (i j : Bool) (y : Profile p n) : y∈effective S i →
28
- grad m (v.sumAt t w.obj i j) y= contract p M i j y
29
-
30
- def roleMatch (t : Tagging p I) :=
31
- ∀ i j, role p n (v.sumAt t w.obj i j)+ role p n (w.sumAt t v.obj j i)=1
32
-
33
- def attackGrad (t : Tagging p I) (m : Mixer p n) (y : UnitType p n N) :=
34
- ∀ (a : I) (j : Bool),
35
- grad m (v.sumAt t w.obj (v.obj a) j) (v.atomAt t a) =
36
- if j=w.obj a then 0 else innerP p y (w.obj a) (w.atomAt t a)
37
-
38
- def realized (t : Tagging p I) (m : Mixer p n) (M : Cross p n) :=
39
- ∀ i j, ∀ y ∈ Xspace p n, grad m (v.sumAt t w.obj i j) y=contract p M i j y
40
-
41
- theorem shoots_swap (i j) : v.shoots w.obj i j=w.shoots v.obj j i := by
42
- ext; simp [shoots,and_comm]
43
-
44
- theorem sum_share {t : Tagging p I} {x y : UnitType p n N} (h : v.keys t x=w.keys t y)
45
- (i j : Bool) : Uembed (onSide x i) (v.sumAt t w.obj i j)=
46
- Uembed (onSide y j) (w.sumAt t v.obj j i) := by
47
- classical
48
- unfold sumAt
49
- rw [map_sum,map_sum,← shoots_swap v w]
50
- refine Finset.sum_congr rfl fun k hk => ?_
51
- have hi := (Finset.mem_filter.mp hk).2
52
- rw [← hi.1, ← hi.2]
53
- exact v.atom_share _ _ _ _ h k
54
-
55
- theorem sum_mem {t : Tagging p I} (h : v.legal t) (f : I → Bool) (i j : Bool) :
56
- v.sumAt t f i j∈Xspace p n :=
57
- Submodule.sum_mem _ fun k _ => atom_mem _ (h k)
58
-
59
- theorem realized_conflicts {t : Tagging p I} (m : Mixer p n)
60
- (x y : UnitType p n N) (hv : v.legal t) (hw : w.legal t)
61
- (hL : ∀ i, frameLaw m (onSide x i)) (hR : ∀ i, frameLaw m (onSide y i))
62
- (h : v.keys t x=w.keys t y) (hm : v.roleMatch w t)
63
- (hA : v.realized w t m (actual p x y)) (hB : w.realized v t m (actual p y x)) :
64
- (rawHoles m).conflict x y := by
65
- have hh i j : hole m (onSide x i) (onSide y j) := by
66
- refine ⟨hL i,hR j,v.sumAt t w.obj i j,w.sumAt t v.obj j i,
67
- v.sum_mem hv .., w.sum_mem hw .., v.sum_share _ h i j,fun q hq => ?_,fun q hq => ?_,hm i j⟩
68
- · rw [hA _ _ _ hq,contract_actual]; rfl
69
- · rw [hB _ _ _ hq,contract_actual]; rfl
70
- exact ⟨hh true true,hh true false,hh false true,hh false false⟩
71
-
72
- end Volley
73
-
74
- def scalarBlocks (p : Shape) {n} (M : Cross p n) (e : Place p) (i j : Bool) :=
75
- channelOut p M j e * IP p n i
76
-
77
- theorem contract_val (p : Shape) {n} (M : Cross p n) (i j : Bool) (x : Profile p n) :
78
- contract p M i j x = ∑ e,mpair
79
- ((scalarBlocks p M (e,true) i j)ᵀ * scalarBlocks p M (e,false) i j) (x e) := by
80
- change ∑ e : Comp p.g, _ = _
81
- refine Finset.sum_congr rfl fun e _ => ?_
82
- rw [mpair_liftM]
83
- simp only [liftM_def,transpose_transpose,scalarBlocks,transpose_mul,Matrix.mul_assoc]
84
-
85
- theorem contract_scalars (A M : Cross p n) (h : scalarBlocks p A=scalarBlocks p M) (i j) :
86
- contract p A i j=contract p M i j := by
87
- refine LinearMap.ext fun v => ?_
88
- rw [contract_val,contract_val,h]
89
- end HadwigerCounterexample
90
-
91
- end
92
-
93
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.KeyDirections
2
+
3
+ namespace OAI
4
+
5
+ /-! # Realization Conditions -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
12
+
13
+ namespace Volley
14
+ variable (v w : Volley p n I)
15
+
16
+ def legal (t : Tagging p I) := ∀ i : I, allows (t i) (v.par i)
17
+ def diagonalAt (i : I) := eta p n (mom p (v.sel i) (v.par i))
18
+ def bounded (w' : I→Bool) := ∀ (i j : Bool), 1≤ (v.shoots w' i j).card ∧
19
+ (v.shoots w' i j).card ≤7
20
+
21
+ /-- Conditions for one orientation of roles, §5 (scalar recipe). -/
22
+ structure scalarRecipe (t : Tagging p I) (m : Mixer p n) (x : UnitType p n N) (S : Plan p n)
23
+ (M : Cross p n) : Prop where
24
+ summ (i j : Bool) : ∑ a ∈ v.shoots w.obj i j,v.diagonalAt a=1
25
+ coupled (j : Bool) : ((innerP p x true)+role p n) (v.sumAt t w.obj true j) =
26
+ ((innerP p x false)+role p n) (v.sumAt t w.obj false j)
27
+ gradient (i j : Bool) (y : Profile p n) : y∈effective S i →
28
+ grad m (v.sumAt t w.obj i j) y= contract p M i j y
29
+
30
+ def roleMatch (t : Tagging p I) :=
31
+ ∀ i j, role p n (v.sumAt t w.obj i j)+ role p n (w.sumAt t v.obj j i)=1
32
+
33
+ def attackGrad (t : Tagging p I) (m : Mixer p n) (y : UnitType p n N) :=
34
+ ∀ (a : I) (j : Bool),
35
+ grad m (v.sumAt t w.obj (v.obj a) j) (v.atomAt t a) =
36
+ if j=w.obj a then 0 else innerP p y (w.obj a) (w.atomAt t a)
37
+
38
+ def realized (t : Tagging p I) (m : Mixer p n) (M : Cross p n) :=
39
+ ∀ i j, ∀ y ∈ Xspace p n, grad m (v.sumAt t w.obj i j) y=contract p M i j y
40
+
41
+ theorem shoots_swap (i j) : v.shoots w.obj i j=w.shoots v.obj j i := by
42
+ ext; simp [shoots,and_comm]
43
+
44
+ theorem sum_share {t : Tagging p I} {x y : UnitType p n N} (h : v.keys t x=w.keys t y)
45
+ (i j : Bool) : Uembed (onSide x i) (v.sumAt t w.obj i j)=
46
+ Uembed (onSide y j) (w.sumAt t v.obj j i) := by
47
+ classical
48
+ unfold sumAt
49
+ rw [map_sum,map_sum,← shoots_swap v w]
50
+ refine Finset.sum_congr rfl fun k hk => ?_
51
+ have hi := (Finset.mem_filter.mp hk).2
52
+ rw [← hi.1, ← hi.2]
53
+ exact v.atom_share _ _ _ _ h k
54
+
55
+ theorem sum_mem {t : Tagging p I} (h : v.legal t) (f : I → Bool) (i j : Bool) :
56
+ v.sumAt t f i j∈Xspace p n :=
57
+ Submodule.sum_mem _ fun k _ => atom_mem _ (h k)
58
+
59
+ theorem realized_conflicts {t : Tagging p I} (m : Mixer p n)
60
+ (x y : UnitType p n N) (hv : v.legal t) (hw : w.legal t)
61
+ (hL : ∀ i, frameLaw m (onSide x i)) (hR : ∀ i, frameLaw m (onSide y i))
62
+ (h : v.keys t x=w.keys t y) (hm : v.roleMatch w t)
63
+ (hA : v.realized w t m (actual p x y)) (hB : w.realized v t m (actual p y x)) :
64
+ (rawHoles m).conflict x y := by
65
+ have hh i j : hole m (onSide x i) (onSide y j) := by
66
+ refine ⟨hL i,hR j,v.sumAt t w.obj i j,w.sumAt t v.obj j i,
67
+ v.sum_mem hv .., w.sum_mem hw .., v.sum_share _ h i j,fun q hq => ?_,fun q hq => ?_,hm i j⟩
68
+ · rw [hA _ _ _ hq,contract_actual]; rfl
69
+ · rw [hB _ _ _ hq,contract_actual]; rfl
70
+ exact ⟨hh true true,hh true false,hh false true,hh false false⟩
71
+
72
+ end Volley
73
+
74
+ def scalarBlocks (p : Shape) {n} (M : Cross p n) (e : Place p) (i j : Bool) :=
75
+ channelOut p M j e * IP p n i
76
+
77
+ theorem contract_val (p : Shape) {n} (M : Cross p n) (i j : Bool) (x : Profile p n) :
78
+ contract p M i j x = ∑ e,mpair
79
+ ((scalarBlocks p M (e,true) i j)ᵀ * scalarBlocks p M (e,false) i j) (x e) := by
80
+ change ∑ e : Comp p.g, _ = _
81
+ refine Finset.sum_congr rfl fun e _ => ?_
82
+ rw [mpair_liftM]
83
+ simp only [liftM_def,transpose_transpose,scalarBlocks,transpose_mul,Matrix.mul_assoc]
84
+
85
+ theorem contract_scalars (A M : Cross p n) (h : scalarBlocks p A=scalarBlocks p M) (i j) :
86
+ contract p A i j=contract p M i j := by
87
+ refine LinearMap.ext fun v => ?_
88
+ rw [contract_val,contract_val,h]
89
+ end HadwigerCounterexample
90
+
91
+ end
92
+
93
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RectangleComparisons.lean CHANGED
@@ -1,146 +1,146 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.SurrogateProductBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Rectangle Comparisons -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix Function
10
- open scoped BigOperators Topology
11
- variable {p:Shape} {n N r : ℕ}
12
- open Template
13
- namespace StatusAnalysis
14
-
15
- private theorem warm_bound {u v : ℝ} (h : |u|≤1) {r:ℝ}
16
- (hv : |v|≤r) : |u*v|≤r := by
17
- rw [abs_mul]; exact (mul_le_mul h hv (abs_nonneg _) zero_le_one).trans_eq (one_mul _)
18
-
19
- namespace Quill
20
- variable {q : Format} {d : Rates} {b : Bool}
21
- (w : Quill p q d b) (t : Tagging p (Messenger q)) (z : Messenger q→F)
22
- (m : Mixer p n)
23
-
24
- structure mirrorSpan (s:ℕ) (ε : ℝ) (Y:Silhouette p N r) (o:UnitType p n N) : Prop where
25
- law : ∀ i,IsLaw (w.policies t z n i)
26
- frame : ∀ i,frameLaw m (onSide o i)
27
- close : ∀ i,(w.allure t z i).close Y (onSide o (parcel b i)) ε
28
- ready : ∀ u:Messenger q → Wgt (Knobs p.g n),(∀ i x, |u i x|≤1) →
29
- let v:=w.pen t; let x:=w.policies t z n
30
- |avg (prodW x) (fun y=>ind (v.performs w.script m o y)*prodW u y)-v.kappa*∏ i:Messenger q,
31
- avg (x i) (u i)|≤ ε
32
- reference : ∀ f:∀ i:Messenger q,Wgt (AtomKey (p:=p) (t i) N),(∀ i x,|f i x|≤1) →
33
- |avg (lawNu p N t z) (prodW f) - ∏ i:Messenger q,avg (lawOmega p N (t i) (z i)) (f i)| ≤ ε
34
-
35
- set_option maxHeartbeats 800000 in
36
- theorem paint_agree (Y:Silhouette p N r) (o: UnitType p n N) (s : Charts p n d)
37
- (f:Paint (w.pen t) N) (hF : pigments z Y f)
38
- (hg : 2≤p.g) (hj : 1≤p.j) (hc : |f.coeff|≤1) {u ℓ}
39
- (he : w.mirrorSpan t z m ℓ u Y o) :
40
- |w.prowl s t z m o f.cost-w.sheen t z o m s Y f.cost|≤(2+num (Messenger q))*u := by
41
- classical
42
- let A:= w.suede t z o m s f; let x:= w.policies t z n
43
- let V:= w.pen t
44
- let B:= w.insidePaint t z o m s Y f
45
- let Q:= avg (prodW x) (fun y=>ind (V.performs w.script m o y)*prodW A y)
46
- let E:=avg (lawNu p N t z) (prodW B)
47
- have hb i y := paintFloor w t z o m s Y f i y (he.law _)
48
- have ha := suedeFloor w t z o m s f
49
- let h := he.law
50
- let P i := avg (x i) (A i); let R i:= avg (lawOmega p N (t i) (z i)) (B i)
51
- have hm : |Q-V.kappa*(∏ i,P i)|≤u := he.ready A ha
52
- have hf : |E-∏ i,R i|≤u := he.reference B hb
53
- have hP i : |P i|≤1 := by
54
- exact (abs_avg_le (h i).nz).trans ((avg_mono (h i).nz (ha i)).trans_eq ((h i).avg_const _))
55
- have hR i : |R i|≤1 := by
56
- have hv : SubLaw (lawOmega p N (t i) (z i)) := unifOn_sub _
57
- exact (abs_avg_le hv.nz).trans (hv.avg_le zero_le_one (hb i))
58
- have hh : |(∏ i, P i)-(∏ i, R i)|≤num (Messenger q)*u :=
59
- cottonError _ _ _ _ hP hR (fun i =>(abs_sub_comm ..).trans_le
60
- (surrogate_close w t z o m s Y f hF _ (h _) (he.close _)))
61
- have hK : |V.kappa|≤1 := by rw [abs_of_pos V.kappa_pos]; exact w.kappaTop t
62
- rw [score_prowl w t z o m s f he.frame hg hj,score_sheen w t z o m,←mul_sub]
63
- apply warm_bound hc
64
- have hh' : |V.kappa*(∏ i,P i)-V.kappa*E|≤num (Messenger q)*u+u := by
65
- rw [←mul_sub]; exact warm_bound hK ((abs_sub_le (∏ i,P i) (∏ i,R i) E).trans (add_le_add hh
66
- ((abs_sub_comm ..).trans_le hf)))
67
- exact ((abs_sub_le Q _ (V.kappa*E)).trans (add_le_add hm hh')).trans_eq (by ring)
68
-
69
- set_option maxHeartbeats 800000 in
70
- theorem paint_set (Y:Silhouette p N r) (o: UnitType p n N) (s : Charts p n d)
71
- {r' : ℕ}
72
- (f:Fin r' → Paint (w.pen t) N) (hF : ∀ i,pigments z Y (f i))
73
- (hg : 2≤p.g) (hj : 1≤p.j) (hc : ∀ i,|(f i).coeff|≤1) {u ℓ}
74
- (he : w.mirrorSpan t z m ℓ u Y o) :
75
- |w.prowl s t z m o (mural (w.pen t) f)-w.sheen t z o m s Y (mural (w.pen t) f)|≤
76
- r' * ((2+num (Messenger q))*u) := by
77
- classical
78
- let F i : Wgt (Keys (p:=p) t N) := (f i).cost
79
- let R := show Wgt (Keys (p:=p) t N) from mural (w.pen t) f
80
- have hf x : R x=∑ i:Fin r', F i x := rfl
81
- change |w.prowl _ _ _ _ _ R-w.sheen _ _ _ _ _ _ R|≤_
82
- have hh :
83
- w.prowl s t z m o R=∑ i:Fin r',w.prowl s t z m o (F i) := by
84
- let key : Inputs p n (Messenger q) → Keys (p:=p) t N := (w.pen t).resultKey o
85
- change avg ((w.pen t).state z n) (fun x => ind (w.deposit t z m o s x) * R (key x)) =
86
- ∑ i : Fin r', avg ((w.pen t).state z n)
87
- (fun x => ind (w.deposit t z m o s x) * F i (key x))
88
- simp_rw [hf, Finset.mul_sum,avg_sum]
89
- have ht :
90
- w.sheen t z o m s Y R=∑ i:Fin r',w.sheen t z o m s Y (F i) := by
91
- unfold sheen; simp_rw [hf,Finset.mul_sum,avg_sum]
92
- rw [hh,ht,←Finset.sum_sub_distrib]
93
- apply (abs_sum_le_sum_abs ..).trans
94
- exact (Finset.sum_le_sum fun i _=> paint_agree w t z m Y o s (f i) (hF i) hg hj (hc i)
95
- he).trans_eq (by simp)
96
-
97
- structure witnessPaint (ε:ℝ) (W T : Wgt (Keys (p:=p) t N))
98
- (o : UnitType p n N) : Prop where
99
- shadow : ∀ f : (w.pen t).Localist N,(∀ i j, |f i j|≤1) →
100
- |avg (lawNu p N t z) (fun x=>(W x-T x)*prodW f x)|≤ε
101
- tested : ¬ exceeds (w.pen t) z (W-T) w.script m (w.policies t z n) ε o
102
-
103
- set_option maxHeartbeats 800000 in
104
- theorem bare_bridge (Y : Silhouette p N r) (o:UnitType p n N) (s:Charts p n d)
105
- {r' : ℕ}
106
- (f:Fin r' → Paint (w.pen t) N) (hF : ∀ i,pigments z Y (f i))
107
- (hg : 2≤p.g) (hj : 1≤p.j) (hc : ∀ i,|(f i).coeff|≤1) {u ℓ ε}
108
- (he : w.mirrorSpan t z m ℓ u Y o) (W : Wgt (Keys (p:=p) t N))
109
- (hw : w.witnessPaint t z m ε W (mural (w.pen t) f) o) :
110
- |w.prowl s t z m o W-w.sheen t z o m s Y W|≤ 2*ε +r'*((2+num (Messenger q))*u) := by
111
- classical
112
- let A:=w.pen t
113
- let T:= show Wgt (Keys (p:=p) t N) from mural A f
114
- let x:=w.prowl s t z m o; let y:= w.sheen t z o m s Y
115
- have h1 : |x W-x T|≤ε := by
116
- have hz : x W-x T=x (W-T) := by
117
- let key : Inputs p n (Messenger q) → Keys (p:=p) t N := A.resultKey o
118
- change avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * W (key x)) -
119
- avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * T (key x)) =
120
- avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * (W-T) (key x))
121
- rw [←avg_sub]
122
- simp only [Pi.sub_apply,mul_sub]
123
- rw [hz]
124
- change |w.prowl _ _ _ _ _ _|≤_
125
- rw [prowl_astonish]
126
- exact le_of_not_gt (fun h=> hw.tested ⟨_, stencil_floor w t z o s m,h⟩)
127
- have h2 : |y W-y T|≤ε := by
128
- unfold y; rw [sheen_sun,sheen_sun,←mul_sub,←avg_sub]
129
- let B:= w.seraph t z o m s Y
130
- have hF (i j): |B i j|≤1 := by
131
- have hh:= w.seraphFloor t z o m s Y i (he.law i) j; rw [abs_of_nonneg (show 0≤B i j
132
- from hh.1)]; exact hh.2
133
- simp_rw [←sub_mul]; exact warm_bound (show |A.kappa|≤1 from (abs_of_pos A.kappa_pos).trans_le
134
- (w.kappaTop t)) (hw.shadow B hF)
135
- have h3 := paint_set w t z m Y o s f hF hg hj hc he
136
- exact (abs_sub_le (x W) (x T) (y W)).trans ((add_le_add h1
137
- ((abs_sub_le (x T) (y T) (y W)).trans (add_le_add h3 ((abs_sub_comm ..).trans_le h2)))).trans_eq
138
- (by ring))
139
-
140
- end Quill
141
- end StatusAnalysis
142
- end HadwigerCounterexample
143
-
144
- end
145
-
146
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.SurrogateProductBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rectangle Comparisons -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix Function
10
+ open scoped BigOperators Topology
11
+ variable {p:Shape} {n N r : ℕ}
12
+ open Template
13
+ namespace StatusAnalysis
14
+
15
+ private theorem warm_bound {u v : ℝ} (h : |u|≤1) {r:ℝ}
16
+ (hv : |v|≤r) : |u*v|≤r := by
17
+ rw [abs_mul]; exact (mul_le_mul h hv (abs_nonneg _) zero_le_one).trans_eq (one_mul _)
18
+
19
+ namespace Quill
20
+ variable {q : Format} {d : Rates} {b : Bool}
21
+ (w : Quill p q d b) (t : Tagging p (Messenger q)) (z : Messenger q→F)
22
+ (m : Mixer p n)
23
+
24
+ structure mirrorSpan (s:ℕ) (ε : ℝ) (Y:Silhouette p N r) (o:UnitType p n N) : Prop where
25
+ law : ∀ i,IsLaw (w.policies t z n i)
26
+ frame : ∀ i,frameLaw m (onSide o i)
27
+ close : ∀ i,(w.allure t z i).close Y (onSide o (parcel b i)) ε
28
+ ready : ∀ u:Messenger q → Wgt (Knobs p.g n),(∀ i x, |u i x|≤1) →
29
+ let v:=w.pen t; let x:=w.policies t z n
30
+ |avg (prodW x) (fun y=>ind (v.performs w.script m o y)*prodW u y)-v.kappa*∏ i:Messenger q,
31
+ avg (x i) (u i)|≤ ε
32
+ reference : ∀ f:∀ i:Messenger q,Wgt (AtomKey (p:=p) (t i) N),(∀ i x,|f i x|≤1) →
33
+ |avg (lawNu p N t z) (prodW f) - ∏ i:Messenger q,avg (lawOmega p N (t i) (z i)) (f i)| ≤ ε
34
+
35
+ set_option maxHeartbeats 800000 in
36
+ theorem paint_agree (Y:Silhouette p N r) (o: UnitType p n N) (s : Charts p n d)
37
+ (f:Paint (w.pen t) N) (hF : pigments z Y f)
38
+ (hg : 2≤p.g) (hj : 1≤p.j) (hc : |f.coeff|≤1) {u ℓ}
39
+ (he : w.mirrorSpan t z m ℓ u Y o) :
40
+ |w.prowl s t z m o f.cost-w.sheen t z o m s Y f.cost|≤(2+num (Messenger q))*u := by
41
+ classical
42
+ let A:= w.suede t z o m s f; let x:= w.policies t z n
43
+ let V:= w.pen t
44
+ let B:= w.insidePaint t z o m s Y f
45
+ let Q:= avg (prodW x) (fun y=>ind (V.performs w.script m o y)*prodW A y)
46
+ let E:=avg (lawNu p N t z) (prodW B)
47
+ have hb i y := paintFloor w t z o m s Y f i y (he.law _)
48
+ have ha := suedeFloor w t z o m s f
49
+ let h := he.law
50
+ let P i := avg (x i) (A i); let R i:= avg (lawOmega p N (t i) (z i)) (B i)
51
+ have hm : |Q-V.kappa*(∏ i,P i)|≤u := he.ready A ha
52
+ have hf : |E-∏ i,R i|≤u := he.reference B hb
53
+ have hP i : |P i|≤1 := by
54
+ exact (abs_avg_le (h i).nz).trans ((avg_mono (h i).nz (ha i)).trans_eq ((h i).avg_const _))
55
+ have hR i : |R i|≤1 := by
56
+ have hv : SubLaw (lawOmega p N (t i) (z i)) := unifOn_sub _
57
+ exact (abs_avg_le hv.nz).trans (hv.avg_le zero_le_one (hb i))
58
+ have hh : |(∏ i, P i)-(∏ i, R i)|≤num (Messenger q)*u :=
59
+ cottonError _ _ _ _ hP hR (fun i =>(abs_sub_comm ..).trans_le
60
+ (surrogate_close w t z o m s Y f hF _ (h _) (he.close _)))
61
+ have hK : |V.kappa|≤1 := by rw [abs_of_pos V.kappa_pos]; exact w.kappaTop t
62
+ rw [score_prowl w t z o m s f he.frame hg hj,score_sheen w t z o m,←mul_sub]
63
+ apply warm_bound hc
64
+ have hh' : |V.kappa*(∏ i,P i)-V.kappa*E|≤num (Messenger q)*u+u := by
65
+ rw [←mul_sub]; exact warm_bound hK ((abs_sub_le (∏ i,P i) (∏ i,R i) E).trans (add_le_add hh
66
+ ((abs_sub_comm ..).trans_le hf)))
67
+ exact ((abs_sub_le Q _ (V.kappa*E)).trans (add_le_add hm hh')).trans_eq (by ring)
68
+
69
+ set_option maxHeartbeats 800000 in
70
+ theorem paint_set (Y:Silhouette p N r) (o: UnitType p n N) (s : Charts p n d)
71
+ {r' : ℕ}
72
+ (f:Fin r' → Paint (w.pen t) N) (hF : ∀ i,pigments z Y (f i))
73
+ (hg : 2≤p.g) (hj : 1≤p.j) (hc : ∀ i,|(f i).coeff|≤1) {u ℓ}
74
+ (he : w.mirrorSpan t z m ℓ u Y o) :
75
+ |w.prowl s t z m o (mural (w.pen t) f)-w.sheen t z o m s Y (mural (w.pen t) f)|≤
76
+ r' * ((2+num (Messenger q))*u) := by
77
+ classical
78
+ let F i : Wgt (Keys (p:=p) t N) := (f i).cost
79
+ let R := show Wgt (Keys (p:=p) t N) from mural (w.pen t) f
80
+ have hf x : R x=∑ i:Fin r', F i x := rfl
81
+ change |w.prowl _ _ _ _ _ R-w.sheen _ _ _ _ _ _ R|≤_
82
+ have hh :
83
+ w.prowl s t z m o R=∑ i:Fin r',w.prowl s t z m o (F i) := by
84
+ let key : Inputs p n (Messenger q) → Keys (p:=p) t N := (w.pen t).resultKey o
85
+ change avg ((w.pen t).state z n) (fun x => ind (w.deposit t z m o s x) * R (key x)) =
86
+ ∑ i : Fin r', avg ((w.pen t).state z n)
87
+ (fun x => ind (w.deposit t z m o s x) * F i (key x))
88
+ simp_rw [hf, Finset.mul_sum,avg_sum]
89
+ have ht :
90
+ w.sheen t z o m s Y R=∑ i:Fin r',w.sheen t z o m s Y (F i) := by
91
+ unfold sheen; simp_rw [hf,Finset.mul_sum,avg_sum]
92
+ rw [hh,ht,←Finset.sum_sub_distrib]
93
+ apply (abs_sum_le_sum_abs ..).trans
94
+ exact (Finset.sum_le_sum fun i _=> paint_agree w t z m Y o s (f i) (hF i) hg hj (hc i)
95
+ he).trans_eq (by simp)
96
+
97
+ structure witnessPaint (ε:ℝ) (W T : Wgt (Keys (p:=p) t N))
98
+ (o : UnitType p n N) : Prop where
99
+ shadow : ∀ f : (w.pen t).Localist N,(∀ i j, |f i j|≤1) →
100
+ |avg (lawNu p N t z) (fun x=>(W x-T x)*prodW f x)|≤ε
101
+ tested : ¬ exceeds (w.pen t) z (W-T) w.script m (w.policies t z n) ε o
102
+
103
+ set_option maxHeartbeats 800000 in
104
+ theorem bare_bridge (Y : Silhouette p N r) (o:UnitType p n N) (s:Charts p n d)
105
+ {r' : ℕ}
106
+ (f:Fin r' → Paint (w.pen t) N) (hF : ∀ i,pigments z Y (f i))
107
+ (hg : 2≤p.g) (hj : 1≤p.j) (hc : ∀ i,|(f i).coeff|≤1) {u ℓ ε}
108
+ (he : w.mirrorSpan t z m ℓ u Y o) (W : Wgt (Keys (p:=p) t N))
109
+ (hw : w.witnessPaint t z m ε W (mural (w.pen t) f) o) :
110
+ |w.prowl s t z m o W-w.sheen t z o m s Y W|≤ 2*ε +r'*((2+num (Messenger q))*u) := by
111
+ classical
112
+ let A:=w.pen t
113
+ let T:= show Wgt (Keys (p:=p) t N) from mural A f
114
+ let x:=w.prowl s t z m o; let y:= w.sheen t z o m s Y
115
+ have h1 : |x W-x T|≤ε := by
116
+ have hz : x W-x T=x (W-T) := by
117
+ let key : Inputs p n (Messenger q) → Keys (p:=p) t N := A.resultKey o
118
+ change avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * W (key x)) -
119
+ avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * T (key x)) =
120
+ avg (A.state z n) (fun x => ind (w.deposit t z m o s x) * (W-T) (key x))
121
+ rw [←avg_sub]
122
+ simp only [Pi.sub_apply,mul_sub]
123
+ rw [hz]
124
+ change |w.prowl _ _ _ _ _ _|≤_
125
+ rw [prowl_astonish]
126
+ exact le_of_not_gt (fun h=> hw.tested ⟨_, stencil_floor w t z o s m,h⟩)
127
+ have h2 : |y W-y T|≤ε := by
128
+ unfold y; rw [sheen_sun,sheen_sun,←mul_sub,←avg_sub]
129
+ let B:= w.seraph t z o m s Y
130
+ have hF (i j): |B i j|≤1 := by
131
+ have hh:= w.seraphFloor t z o m s Y i (he.law i) j; rw [abs_of_nonneg (show 0≤B i j
132
+ from hh.1)]; exact hh.2
133
+ simp_rw [←sub_mul]; exact warm_bound (show |A.kappa|≤1 from (abs_of_pos A.kappa_pos).trans_le
134
+ (w.kappaTop t)) (hw.shadow B hF)
135
+ have h3 := paint_set w t z m Y o s f hF hg hj hc he
136
+ exact (abs_sub_le (x W) (x T) (y W)).trans ((add_le_add h1
137
+ ((abs_sub_le (x T) (y T) (y W)).trans (add_le_add h3 ((abs_sub_comm ..).trans_le h2)))).trans_eq
138
+ (by ring))
139
+
140
+ end Quill
141
+ end StatusAnalysis
142
+ end HadwigerCounterexample
143
+
144
+ end
145
+
146
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RectangleRegularity.lean CHANGED
@@ -1,115 +1,115 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ConditionalProjection
2
-
3
- namespace OAI
4
-
5
- /-! # Rectangle Regularity -/
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 thinCut (μ f : Wgt A) (x : A→B) (y : A→C) (ε : ℝ) :=
14
- ∀ u : Wgt B,(∀ i,|u i|≤1) → ∀ v : Wgt C,(∀ i,|v i|≤1) →
15
- |avg μ (fun i=> f i*(u (x i)*v (y i)))|≤ ε
16
- def doubleBook {L R : Type} (x : A→B) (y : A→C) (a : B→L) (b : C→R) :=
17
- fun i => (a (x i),b (y i))
18
- def swab (x : Bool) : ℝ := if x then 1 else -1
19
- theorem swab_abs (x) : |swab x|=1 := by cases x <;> simp [swab]
20
-
21
- private theorem sign_mass (w : Wgt A) (f : A→B) (u : Wgt B) (h : ∀ i,|u i|≤1) :
22
- ∃ y : B→Bool,|avg w (u ∘ f)|≤|avg w (swab ∘ y ∘ f)| := by
23
- classical
24
- let p := mapW w f
25
- let y (i) := decide (0≤p i)
26
- have he i :
27
- p i*swab (y i)=|p i| := by
28
- by_cases hh : 0≤p i <;> simp [swab,y,hh,abs_of_nonneg,abs_of_neg,lt_of_not_ge]
29
- have hu :
30
- |avg p u| ≤ ∑ i,|p i| := by
31
- unfold avg; refine (Finset.abs_sum_le_sum_abs ..).trans ?_
32
- refine Finset.sum_le_sum fun i _ => ?_
33
- rw [abs_mul]
34
- exact (mul_le_mul_of_nonneg_left (h i) (abs_nonneg _)).trans_eq (mul_one _)
35
- have hz : avg p (swab ∘ y) = ∑ i, |p i| := Finset.sum_congr rfl fun i _=> he i
36
- refine ⟨y,?_⟩
37
- rw [show avg w (u∘f)=avg p u from (mapW_avg w f u).symm,show avg w (swab∘y∘f)=
38
- avg p (swab∘y) from (mapW_avg w f (swab ∘ y)).symm]
39
- exact hu.trans (hz.symm.le.trans (le_abs_self _))
40
-
41
- theorem cut_witness (μ f : Wgt A) {x : A→B} {y : A→C} {ε : ℝ} (h : ¬ thinCut μ f x y ε) :
42
- ∃ (i : B→Bool) (j : C→Bool), ε < |avg μ (fun z=>f z*(swab (i (x z))*swab (j (y z))))| := by
43
- classical
44
- unfold thinCut at h
45
- push Not at h
46
- obtain ⟨u,hu,v,hv,h⟩ := h
47
- let Q (u : Wgt B) (v : Wgt C) := avg μ (fun z=>f z*(u (x z)*v (y z)))
48
- let U z := μ z*f z*v (y z)
49
- obtain ⟨i,hi⟩ := sign_mass U x u hu
50
- have hx (u) : Q u v=avg U (u∘x) := Finset.sum_congr rfl (fun z _=>by unfold U Function.comp; ring)
51
- let V z := μ z*f z*swab (i (x z))
52
- obtain ⟨j,hj⟩ := sign_mass V y v hv
53
- have hy (v) : Q (swab ∘ i) v=avg V (v∘y) := Finset.sum_congr rfl (fun z _=>by
54
- unfold V Function.comp; ring)
55
- rw [←hx u,show avg U (swab ∘ i ∘ x)=Q (swab ∘ i) v from (hx (swab ∘ i)).symm] at hi
56
- rw [←hy v,show avg V (swab ∘ j ∘ y)=Q (swab ∘ i) (swab∘j) from (hy (swab ∘ j)).symm] at hj
57
- exact ⟨i,j, lt_of_lt_of_le h (hi.trans hj)⟩
58
-
59
- def weakRank (μ f : Wgt A) (x : A→B) (y : A→C) (δ : ℝ) (R : ℕ) :=
60
- ∃ l : ℕ,l≤R ∧ ∃ (a:B→Fin l) (b:C→ Fin l),
61
- thinCut μ (fun i=> f i-banner μ (doubleBook x y a b) f i) x y δ
62
-
63
- set_option maxHeartbeats 800000 in
64
- theorem plenty_cuts (δ M : ℝ) (hδ : 0<δ) (hM : 0≤M) :
65
- ∃ r:ℕ,∀ (A B C : Type) [Fintype A] [Fintype B] [Fintype C]
66
- (μ f : Wgt A) (x : A→B) (y : A→C),SubLaw μ → (∀ i,|f i| ≤ M) →
67
- weakRank μ f x y δ r := by
68
- classical
69
- obtain ⟨l,hl⟩ := exists_nat_gt (M^2 / δ^2)
70
- refine ⟨2^l,fun A B C _ _ _ μ f x y hw hf => ?_⟩
71
- by_contra h
72
- have hh (i : ℕ) (hi : i≤l) :
73
- ∃ (a:B→Fin (2^i)) (b:C→Fin (2^i)), i*δ^2 ≤ ode μ (banner μ (doubleBook x y a b) f) := by
74
- induction i with
75
- | zero => exact ⟨fun _=>0,fun _=>0, by simpa using ode_nonneg hw.nz _⟩
76
- | succ i ih =>
77
- obtain ⟨a,b,he⟩ := ih (by omega)
78
- let T := doubleBook x y a b
79
- let d := fun z => f z-banner μ T f z
80
- obtain ⟨u,v,e⟩ := cut_witness μ d (x:=x) (y:=y) (ε:=δ) (fun p =>
81
- h ⟨_,Nat.pow_le_pow_right (by decide) (by omega),a,b,p⟩)
82
- let r := 2^i
83
- let E : Fin r × Bool ≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [r,pow_succ])
84
- let a' z := E (a z,u z); let b' z := E (b z,v z)
85
- let S := doubleBook x y a' b'
86
- let U (z j : Fin (2^(i+1))) := ((E.symm z).1,(E.symm j).1)
87
- let V (z j : Fin (2^(i+1))) := swab (E.symm z).2*swab (E.symm j).2
88
- have hz : uncurry U ∘ S=T := by
89
- funext i; simp only [doubleBook,a',b',Function.comp_apply,U,S,uncurry_apply_pair,
90
- Equiv.symm_apply_apply]; rfl
91
- have hH (i) : uncurry V (S i)=swab (u (x i))*swab (v (y i)) := by
92
- simp only [S,doubleBook,a',b',V,uncurry_apply_pair,Equiv.symm_apply_apply]
93
- have hh (i) : |uncurry V (S i)| ≤ 1 := by rw [hH,abs_mul,swab_abs,swab_abs,mul_one]
94
- have hq := archive_gain hw f S (uncurry U) (uncurry V) hh
95
- rw [hz] at hq
96
- have ht : dip μ d (uncurry V ∘ S)=
97
- avg μ (fun z => d z*(swab (u (x z))*swab (v (y z)))) :=
98
- avg_congr (fun i _=> congrArg _ (hH i))
99
- change (dip μ d _)^2≤_ at hq
100
- rw [←ht] at e
101
- refine ⟨a',b',?_⟩
102
- change ↑(i+1)*δ^2≤ode μ (banner μ S f)
103
- change ↑i*δ^2≤ode μ (banner μ T f) at he
104
- push_cast
105
- nlinarith only [he,hq,e,sq_abs (dip μ d (uncurry V ∘ S)),hδ]
106
- obtain ⟨a,b,he⟩ := hh l le_rfl
107
- let F := doubleBook x y a b
108
- have hb := cashbook_bound μ hw.nz F f M hM hf
109
- have ht := he.trans (ode_upper hw _ M (fun i : A=> hb (F i)))
110
- exact not_lt_of_ge ht ((div_lt_iff₀ (by positivity)).mp hl)
111
- end HadwigerCounterexample
112
-
113
- end
114
-
115
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ConditionalProjection
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rectangle Regularity -/
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 thinCut (μ f : Wgt A) (x : A→B) (y : A→C) (ε : ℝ) :=
14
+ ∀ u : Wgt B,(∀ i,|u i|≤1) → ∀ v : Wgt C,(∀ i,|v i|≤1) →
15
+ |avg μ (fun i=> f i*(u (x i)*v (y i)))|≤ ε
16
+ def doubleBook {L R : Type} (x : A→B) (y : A→C) (a : B→L) (b : C→R) :=
17
+ fun i => (a (x i),b (y i))
18
+ def swab (x : Bool) : ℝ := if x then 1 else -1
19
+ theorem swab_abs (x) : |swab x|=1 := by cases x <;> simp [swab]
20
+
21
+ private theorem sign_mass (w : Wgt A) (f : A→B) (u : Wgt B) (h : ∀ i,|u i|≤1) :
22
+ ∃ y : B→Bool,|avg w (u ∘ f)|≤|avg w (swab ∘ y ∘ f)| := by
23
+ classical
24
+ let p := mapW w f
25
+ let y (i) := decide (0≤p i)
26
+ have he i :
27
+ p i*swab (y i)=|p i| := by
28
+ by_cases hh : 0≤p i <;> simp [swab,y,hh,abs_of_nonneg,abs_of_neg,lt_of_not_ge]
29
+ have hu :
30
+ |avg p u| ≤ ∑ i,|p i| := by
31
+ unfold avg; refine (Finset.abs_sum_le_sum_abs ..).trans ?_
32
+ refine Finset.sum_le_sum fun i _ => ?_
33
+ rw [abs_mul]
34
+ exact (mul_le_mul_of_nonneg_left (h i) (abs_nonneg _)).trans_eq (mul_one _)
35
+ have hz : avg p (swab ∘ y) = ∑ i, |p i| := Finset.sum_congr rfl fun i _=> he i
36
+ refine ⟨y,?_⟩
37
+ rw [show avg w (u∘f)=avg p u from (mapW_avg w f u).symm,show avg w (swab∘y∘f)=
38
+ avg p (swab∘y) from (mapW_avg w f (swab ∘ y)).symm]
39
+ exact hu.trans (hz.symm.le.trans (le_abs_self _))
40
+
41
+ theorem cut_witness (μ f : Wgt A) {x : A→B} {y : A→C} {ε : ℝ} (h : ¬ thinCut μ f x y ε) :
42
+ ∃ (i : B→Bool) (j : C→Bool), ε < |avg μ (fun z=>f z*(swab (i (x z))*swab (j (y z))))| := by
43
+ classical
44
+ unfold thinCut at h
45
+ push Not at h
46
+ obtain ⟨u,hu,v,hv,h⟩ := h
47
+ let Q (u : Wgt B) (v : Wgt C) := avg μ (fun z=>f z*(u (x z)*v (y z)))
48
+ let U z := μ z*f z*v (y z)
49
+ obtain ⟨i,hi⟩ := sign_mass U x u hu
50
+ have hx (u) : Q u v=avg U (u∘x) := Finset.sum_congr rfl (fun z _=>by unfold U Function.comp; ring)
51
+ let V z := μ z*f z*swab (i (x z))
52
+ obtain ⟨j,hj⟩ := sign_mass V y v hv
53
+ have hy (v) : Q (swab ∘ i) v=avg V (v∘y) := Finset.sum_congr rfl (fun z _=>by
54
+ unfold V Function.comp; ring)
55
+ rw [←hx u,show avg U (swab ∘ i ∘ x)=Q (swab ∘ i) v from (hx (swab ∘ i)).symm] at hi
56
+ rw [←hy v,show avg V (swab ∘ j ∘ y)=Q (swab ∘ i) (swab∘j) from (hy (swab ∘ j)).symm] at hj
57
+ exact ⟨i,j, lt_of_lt_of_le h (hi.trans hj)⟩
58
+
59
+ def weakRank (μ f : Wgt A) (x : A→B) (y : A→C) (δ : ℝ) (R : ℕ) :=
60
+ ∃ l : ℕ,l≤R ∧ ∃ (a:B→Fin l) (b:C→ Fin l),
61
+ thinCut μ (fun i=> f i-banner μ (doubleBook x y a b) f i) x y δ
62
+
63
+ set_option maxHeartbeats 800000 in
64
+ theorem plenty_cuts (δ M : ℝ) (hδ : 0<δ) (hM : 0≤M) :
65
+ ∃ r:ℕ,∀ (A B C : Type) [Fintype A] [Fintype B] [Fintype C]
66
+ (μ f : Wgt A) (x : A→B) (y : A→C),SubLaw μ → (∀ i,|f i| ≤ M) →
67
+ weakRank μ f x y δ r := by
68
+ classical
69
+ obtain ⟨l,hl⟩ := exists_nat_gt (M^2 / δ^2)
70
+ refine ⟨2^l,fun A B C _ _ _ μ f x y hw hf => ?_⟩
71
+ by_contra h
72
+ have hh (i : ℕ) (hi : i≤l) :
73
+ ∃ (a:B→Fin (2^i)) (b:C→Fin (2^i)), i*δ^2 ≤ ode μ (banner μ (doubleBook x y a b) f) := by
74
+ induction i with
75
+ | zero => exact ⟨fun _=>0,fun _=>0, by simpa using ode_nonneg hw.nz _⟩
76
+ | succ i ih =>
77
+ obtain ⟨a,b,he⟩ := ih (by omega)
78
+ let T := doubleBook x y a b
79
+ let d := fun z => f z-banner μ T f z
80
+ obtain ⟨u,v,e⟩ := cut_witness μ d (x:=x) (y:=y) (ε:=δ) (fun p =>
81
+ h ⟨_,Nat.pow_le_pow_right (by decide) (by omega),a,b,p⟩)
82
+ let r := 2^i
83
+ let E : Fin r × Bool ≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [r,pow_succ])
84
+ let a' z := E (a z,u z); let b' z := E (b z,v z)
85
+ let S := doubleBook x y a' b'
86
+ let U (z j : Fin (2^(i+1))) := ((E.symm z).1,(E.symm j).1)
87
+ let V (z j : Fin (2^(i+1))) := swab (E.symm z).2*swab (E.symm j).2
88
+ have hz : uncurry U ∘ S=T := by
89
+ funext i; simp only [doubleBook,a',b',Function.comp_apply,U,S,uncurry_apply_pair,
90
+ Equiv.symm_apply_apply]; rfl
91
+ have hH (i) : uncurry V (S i)=swab (u (x i))*swab (v (y i)) := by
92
+ simp only [S,doubleBook,a',b',V,uncurry_apply_pair,Equiv.symm_apply_apply]
93
+ have hh (i) : |uncurry V (S i)| ≤ 1 := by rw [hH,abs_mul,swab_abs,swab_abs,mul_one]
94
+ have hq := archive_gain hw f S (uncurry U) (uncurry V) hh
95
+ rw [hz] at hq
96
+ have ht : dip μ d (uncurry V ∘ S)=
97
+ avg μ (fun z => d z*(swab (u (x z))*swab (v (y z)))) :=
98
+ avg_congr (fun i _=> congrArg _ (hH i))
99
+ change (dip μ d _)^2≤_ at hq
100
+ rw [←ht] at e
101
+ refine ⟨a',b',?_⟩
102
+ change ↑(i+1)*δ^2≤ode μ (banner μ S f)
103
+ change ↑i*δ^2≤ode μ (banner μ T f) at he
104
+ push_cast
105
+ nlinarith only [he,hq,e,sq_abs (dip μ d (uncurry V ∘ S)),hδ]
106
+ obtain ⟨a,b,he⟩ := hh l le_rfl
107
+ let F := doubleBook x y a b
108
+ have hb := cashbook_bound μ hw.nz F f M hM hf
109
+ have ht := he.trans (ode_upper hw _ M (fun i : A=> hb (F i)))
110
+ exact not_lt_of_ge ht ((div_lt_iff₀ (by positivity)).mp hl)
111
+ end HadwigerCounterexample
112
+
113
+ end
114
+
115
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RecursiveComparisonErrors.lean CHANGED
@@ -1,93 +1,93 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.HeadPartitionComparison
2
-
3
- namespace OAI
4
-
5
- /-! # Recursive Comparison Errors -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Function Filter Matrix
10
- open scoped BigOperators
11
- variable {p : Shape} {I : Type} [Fintype I] [DecidableEq I] {n N : ℕ}
12
- namespace Template
13
- variable (v : Template p I)
14
-
15
- theorem board_add (v : Template p I) (q : I→F) (U V : Wgt (Keys (p:=p) v.t N)) f :
16
- board v q (U+V) f=board v q U f+board v q V f := by
17
- unfold board curtain; simp only [Pi.add_apply,mul_add,add_mul,avg_add]
18
-
19
- theorem shadow_add (v : Template p I) (q : I→F) (U V : Wgt (Keys (p:=p) v.t N))
20
- (r s : ℝ) (h : shadowed v q U r) (h' : shadowed v q V s) :
21
- shadowed v q (U+V) (r+s) := fun f hf => by
22
- rw [board_add]
23
- exact (abs_add_le _ _).trans (add_le_add (h f hf) (h' f hf))
24
-
25
- theorem scene_join (v : Template p I) (q : I→ F) (U V : Wgt (Keys (p:=p) v.t N))
26
- (s : Script p I) (m : Mixer p n) (w : I→Wgt (Knobs p.g n))
27
- (x y : ℝ) (o : UnitType p n N)
28
- (h : exceeds v q (U+V) s m w (x+y) o) :
29
- exceeds v q U s m w x o ∨ exceeds v q V s m w y o := by
30
- classical
31
- obtain ⟨f,hf,h'⟩ := h
32
- have he :
33
- astonish v q (U+V) s m w f o=astonish v q U s m w f o+astonish v q V s m w f o := by
34
- simp only [astonish_val,Pi.add_apply,mul_add,add_mul,avg_add]
35
- change x+y < |astonish v q (U+V) s m w f o| at h'
36
- rw [he] at h'
37
- by_contra! hh
38
- have ht : |astonish v q U s m w f o|≤x := le_of_not_gt (fun h=>hh.1 ⟨f,hf,h⟩)
39
- have hv : |astonish v q V s m w f o|≤y := le_of_not_gt (fun h=>hh.2 ⟨f,hf,h⟩)
40
- exact not_lt_of_ge ((abs_add_le _ _).trans (add_le_add ht hv)) h'
41
-
42
- def drained (m : Mixer p n) (C : ℝ) (w : Wgt (UnitType p n N)) :=
43
- let μ := raw m N; let H:=bp ((1/32:ℝ)*n)
44
- IsLaw w ∧ (∀ x,mapW w Prod.fst x ≤ H*μ x) ∧ (∀ x,mapW w Prod.snd x≤H*μ x) ∧
45
- ∀ x,w x ≤ bp (C*N)*pairW μ μ x
46
-
47
- def engaged (v : Template p I) (q : I→F) (U : Wgt (Keys (p:=p) v.t N))
48
- (n : ℕ) (C e ε : ℝ) :=
49
- ∀ (m : Mixer p n),2*num (Full p n)<N →
50
- ∀ (w : Wgt (UnitType p n N)),drained m C w →
51
- ∀ (s : Script p I) (x : I→Wgt (Knobs p.g n)),(∀ i,IsLaw (x i)) →
52
- (∀ i,mapW (x i) (freePart p)=unif) → pr w (exceeds v q U s m x ε) ≤ e
53
-
54
- set_option maxHeartbeats 800000 in
55
- theorem gild_play (v : Template p I) (j : I) (q : I→F) (n N r : ℕ)
56
- (a : AtomKey (p:=p) (v.t j) N→Fin r) (B B' : Fin r→ Wgt (Keys (p:=p) (v.beyond j).t N))
57
- (U : Wgt (Keys (p:=p) v.t N)) (C ε x y : ℝ)
58
- (hs : shadowed v q (U-patched v j a B) ε)
59
- (h : engaged v q (U-patched v j a B) n C x ε)
60
- (hg : ∀ i,shadowed (v.beyond j) (v.boundTail j q) (B i-B' i) ε)
61
- (hh : ∀ i,engaged (v.beyond j) (v.boundTail j q) (B i-B' i) n C y ε) :
62
- let d:=U-patched v j a B'
63
- shadowed v q d (ε+ε) ∧ engaged v q d n C (x+r*y) (ε+ε) := by
64
- classical
65
- intro d
66
- let f:=U-patched v j a B
67
- let V z := B z - B' z
68
- let g:=patched v j a V
69
- have hd : d=f+g := by
70
- unfold d f g V; ext i; unfold patched; simp only [Pi.add_apply,Pi.sub_apply]
71
- ring
72
- rw [hd]
73
- refine ⟨shadow_add v q f g ε ε hs (patched_board v j q a V ε hg),?_⟩
74
- intro m hN w hw s u hu hz
75
- let W (i) := exceeds (v.beyond j) (v.boundTail j q) (V i) (scriptTail s j) m
76
- (fun i=>u i.val) ε
77
- have he (o) (hf : exceeds v q g s m u ε o) : ∃ i,W i o := by
78
- by_contra! hx
79
- exact patched_exceed v j q a V ε u hu s m o hx hf
80
- have hn := hw.1
81
- have hi :
82
- pr w (fun x => ∃ i:Fin r,W i x) ≤ (r:ℝ)*y := by
83
- refine (pr_exists_le hn.nz W).trans ((Finset.sum_le_sum
84
- (g:=fun _=>y) (fun i _=>?_)).trans_eq (by simp))
85
- exact hh i m hN w hw (scriptTail s j) _ (fun i =>hu i.val) (fun i =>hz i.val)
86
- apply (le_trans (pr_mono hn.nz (fun i => scene_join v q f g s m u _ _ i)) (pr_or_le hn.nz)).trans
87
- exact add_le_add (h m hN w hw s u hu hz) ((pr_mono hn.nz he).trans hi)
88
- end Template
89
- end HadwigerCounterexample
90
-
91
- end
92
-
93
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.HeadPartitionComparison
2
+
3
+ namespace OAI
4
+
5
+ /-! # Recursive Comparison Errors -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Function Filter Matrix
10
+ open scoped BigOperators
11
+ variable {p : Shape} {I : Type} [Fintype I] [DecidableEq I] {n N : ℕ}
12
+ namespace Template
13
+ variable (v : Template p I)
14
+
15
+ theorem board_add (v : Template p I) (q : I→F) (U V : Wgt (Keys (p:=p) v.t N)) f :
16
+ board v q (U+V) f=board v q U f+board v q V f := by
17
+ unfold board curtain; simp only [Pi.add_apply,mul_add,add_mul,avg_add]
18
+
19
+ theorem shadow_add (v : Template p I) (q : I→F) (U V : Wgt (Keys (p:=p) v.t N))
20
+ (r s : ℝ) (h : shadowed v q U r) (h' : shadowed v q V s) :
21
+ shadowed v q (U+V) (r+s) := fun f hf => by
22
+ rw [board_add]
23
+ exact (abs_add_le _ _).trans (add_le_add (h f hf) (h' f hf))
24
+
25
+ theorem scene_join (v : Template p I) (q : I→ F) (U V : Wgt (Keys (p:=p) v.t N))
26
+ (s : Script p I) (m : Mixer p n) (w : I→Wgt (Knobs p.g n))
27
+ (x y : ℝ) (o : UnitType p n N)
28
+ (h : exceeds v q (U+V) s m w (x+y) o) :
29
+ exceeds v q U s m w x o ∨ exceeds v q V s m w y o := by
30
+ classical
31
+ obtain ⟨f,hf,h'⟩ := h
32
+ have he :
33
+ astonish v q (U+V) s m w f o=astonish v q U s m w f o+astonish v q V s m w f o := by
34
+ simp only [astonish_val,Pi.add_apply,mul_add,add_mul,avg_add]
35
+ change x+y < |astonish v q (U+V) s m w f o| at h'
36
+ rw [he] at h'
37
+ by_contra! hh
38
+ have ht : |astonish v q U s m w f o|≤x := le_of_not_gt (fun h=>hh.1 ⟨f,hf,h⟩)
39
+ have hv : |astonish v q V s m w f o|≤y := le_of_not_gt (fun h=>hh.2 ⟨f,hf,h⟩)
40
+ exact not_lt_of_ge ((abs_add_le _ _).trans (add_le_add ht hv)) h'
41
+
42
+ def drained (m : Mixer p n) (C : ℝ) (w : Wgt (UnitType p n N)) :=
43
+ let μ := raw m N; let H:=bp ((1/32:ℝ)*n)
44
+ IsLaw w ∧ (∀ x,mapW w Prod.fst x ≤ H*μ x) ∧ (∀ x,mapW w Prod.snd x≤H*μ x) ∧
45
+ ∀ x,w x ≤ bp (C*N)*pairW μ μ x
46
+
47
+ def engaged (v : Template p I) (q : I→F) (U : Wgt (Keys (p:=p) v.t N))
48
+ (n : ℕ) (C e ε : ℝ) :=
49
+ ∀ (m : Mixer p n),2*num (Full p n)<N →
50
+ ∀ (w : Wgt (UnitType p n N)),drained m C w →
51
+ ∀ (s : Script p I) (x : I→Wgt (Knobs p.g n)),(∀ i,IsLaw (x i)) →
52
+ (∀ i,mapW (x i) (freePart p)=unif) → pr w (exceeds v q U s m x ε) ≤ e
53
+
54
+ set_option maxHeartbeats 800000 in
55
+ theorem gild_play (v : Template p I) (j : I) (q : I→F) (n N r : ℕ)
56
+ (a : AtomKey (p:=p) (v.t j) N→Fin r) (B B' : Fin r→ Wgt (Keys (p:=p) (v.beyond j).t N))
57
+ (U : Wgt (Keys (p:=p) v.t N)) (C ε x y : ℝ)
58
+ (hs : shadowed v q (U-patched v j a B) ε)
59
+ (h : engaged v q (U-patched v j a B) n C x ε)
60
+ (hg : ∀ i,shadowed (v.beyond j) (v.boundTail j q) (B i-B' i) ε)
61
+ (hh : ∀ i,engaged (v.beyond j) (v.boundTail j q) (B i-B' i) n C y ε) :
62
+ let d:=U-patched v j a B'
63
+ shadowed v q d (ε+ε) ∧ engaged v q d n C (x+r*y) (ε+ε) := by
64
+ classical
65
+ intro d
66
+ let f:=U-patched v j a B
67
+ let V z := B z - B' z
68
+ let g:=patched v j a V
69
+ have hd : d=f+g := by
70
+ unfold d f g V; ext i; unfold patched; simp only [Pi.add_apply,Pi.sub_apply]
71
+ ring
72
+ rw [hd]
73
+ refine ⟨shadow_add v q f g ε ε hs (patched_board v j q a V ε hg),?_⟩
74
+ intro m hN w hw s u hu hz
75
+ let W (i) := exceeds (v.beyond j) (v.boundTail j q) (V i) (scriptTail s j) m
76
+ (fun i=>u i.val) ε
77
+ have he (o) (hf : exceeds v q g s m u ε o) : ∃ i,W i o := by
78
+ by_contra! hx
79
+ exact patched_exceed v j q a V ε u hu s m o hx hf
80
+ have hn := hw.1
81
+ have hi :
82
+ pr w (fun x => ∃ i:Fin r,W i x) ≤ (r:ℝ)*y := by
83
+ refine (pr_exists_le hn.nz W).trans ((Finset.sum_le_sum
84
+ (g:=fun _=>y) (fun i _=>?_)).trans_eq (by simp))
85
+ exact hh i m hN w hw (scriptTail s j) _ (fun i =>hu i.val) (fun i =>hz i.val)
86
+ apply (le_trans (pr_mono hn.nz (fun i => scene_join v q f g s m u _ _ i)) (pr_or_le hn.nz)).trans
87
+ exact add_le_add (h m hN w hw s u hu hz) ((pr_mono hn.nz he).trans hi)
88
+ end Template
89
+ end HadwigerCounterexample
90
+
91
+ end
92
+
93
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ReferenceProductTests.lean CHANGED
@@ -1,85 +1,85 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.KeyReferenceLaws
2
- import OAI.Combinatorics.HadwigerCounterexample.EndpointTemplateConcentration
3
-
4
- namespace OAI
5
-
6
- /-! # Reference Product Tests -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open scoped BigOperators
11
- open Matrix Module Function Finset Filter
12
- variable {p : Shape} {I : Type} [Fintype I] [DecidableEq I] {n N : ℕ}
13
-
14
- set_option maxHeartbeats 600000 in
15
- theorem reference_product (t : Tagging p I) (q : I → F)
16
- (f : ∀ i,Wgt (AtomKey (p:=p) (t i) N))
17
- (hf : ∀ i x,|f i x|≤1) (hN : 2*num (I×Toast p)-(N:ℝ)≤ -1) :
18
- |avg (lawNu p N t q) (prodW f)- ∏ i,avg (lawOmega p N (t i) (q i)) (f i)|≤
19
- 2*netFact (trayPort p t)*bp (-(N:ℝ)/2) := by
20
- classical
21
- let F (i : I) := (f i)∘(mug p (t i) N).symm
22
- let g := trayPort p t
23
- let A := trayMap p t q
24
- have hpL i := show 2*num (Port g i)-(N:ℝ)≤ -1 by linarith only [hN,port_limit g i]
25
- have he :
26
- avg (rackWave A N) (brightProd F) =avg (lawNu p N t q) (prodW f) := by
27
- unfold A; rw [←lawtray,mapW_avg]
28
- have hh x : brightProd F (tray p t N x)=prodW f x := by
29
- simp_rw [brightProd,tray_sips,F,Function.comp_apply,Equiv.symm_apply_apply]
30
- rfl
31
- simp_rw [hh]
32
- have hw i : avg (rackWave (laneM A i) N) (F i)=avg (lawOmega p N (t i) (q i)) (f i) := by
33
- unfold A; rw [←lawmug,mapW_avg]
34
- simp_rw [F,Function.comp_apply, Equiv.symm_apply_apply]
35
- have h := compare_waves A F (fun i x => hf _ _) hpL
36
- simp_rw [he,hw] at h; exact h
37
-
38
- theorem priceNu (t : Tagging p I) (q : I→F) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
39
- (netFact (trayPort p t))⁻¹ ≤ pr unif (ownPart (p:=p) t q (N:=N)) := by
40
- classical
41
- let g := trayPort p t; let A := trayMap p t q
42
- have hpL i := show 2*num (Port g i)-(N:ℝ)≤ -1 by linarith only [hN,port_limit g i]
43
- have he : pr unif (gramPart A (N:=N))=pr unif (ownPart (p:=p) t q (N:=N)) := by
44
- rw [← unif_equiv (tray p t N),mapW_pr]
45
- unfold A
46
- congr 1; ext i
47
- exact (tray_wave ..).symm
48
- rw [←he]
49
- exact wave_norm A N hpL
50
- theorem nuLaw (t : Tagging p I) (q : I → F) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
51
- IsLaw (lawNu p N t q) := by
52
- classical
53
- rw [lawNu,←on_unif]
54
- exact on_law unif_law.nz ((inv_pos_of_pos netFact_pos).trans_le (priceNu t q hN))
55
-
56
- theorem priceOmega (t : Tagging p I) (q : I→F) (i : I) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
57
- (netFact (street (trayPort p t) i))⁻¹ ≤ pr unif (ownOne p (t i) (q i) (N:=N)) := by
58
- classical
59
- let g := street (trayPort p t) i; let A := laneM (trayMap p t q) i
60
- have hh j : num (Port g j)≤num (I×Toast p) := by
61
- apply le_trans (port_limit g j)
62
- exact_mod_cast Fintype.card_le_of_injective (fun j : Toast p => (i,j)) (fun i j h =>
63
- congrArg Prod.snd h)
64
- have hpL j := show 2*num (Port g j)-(N:ℝ)≤ -1 by linarith only [hN,hh j]
65
- have he : pr unif (gramPart A (N:=N))=pr unif (ownOne p (t i) (q i) (N:=N)) := by
66
- rw [← unif_equiv (mug p (t i) N),mapW_pr]
67
- unfold A
68
- congr 1; ext x
69
- exact (mug_wave ..).symm
70
- rw [←he]
71
- exact wave_norm A N hpL
72
-
73
- theorem omegaLaw (p : Shape) (l : Tag p.g) (q : F) (hN : 2*num (Toast p)-(N:ℝ)≤ -1) :
74
- IsLaw (lawOmega p N l q) := by
75
- classical
76
- let t := fun (_ : Unit) => l
77
- have hh : 2*num (Unit×Toast p)-(N:ℝ)≤ -1 := by simpa [num] using hN
78
- rw [lawOmega,←on_unif]
79
- exact on_law unif_law.nz ((inv_pos_of_pos netFact_pos).trans_le
80
- (priceOmega t (fun _ : Unit => q) () hh))
81
- end HadwigerCounterexample
82
-
83
- end
84
-
85
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.KeyReferenceLaws
2
+ import OAI.Combinatorics.HadwigerCounterexample.EndpointTemplateConcentration
3
+
4
+ namespace OAI
5
+
6
+ /-! # Reference Product Tests -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open scoped BigOperators
11
+ open Matrix Module Function Finset Filter
12
+ variable {p : Shape} {I : Type} [Fintype I] [DecidableEq I] {n N : ℕ}
13
+
14
+ set_option maxHeartbeats 600000 in
15
+ theorem reference_product (t : Tagging p I) (q : I → F)
16
+ (f : ∀ i,Wgt (AtomKey (p:=p) (t i) N))
17
+ (hf : ∀ i x,|f i x|≤1) (hN : 2*num (I×Toast p)-(N:ℝ)≤ -1) :
18
+ |avg (lawNu p N t q) (prodW f)- ∏ i,avg (lawOmega p N (t i) (q i)) (f i)|≤
19
+ 2*netFact (trayPort p t)*bp (-(N:ℝ)/2) := by
20
+ classical
21
+ let F (i : I) := (f i)∘(mug p (t i) N).symm
22
+ let g := trayPort p t
23
+ let A := trayMap p t q
24
+ have hpL i := show 2*num (Port g i)-(N:ℝ)≤ -1 by linarith only [hN,port_limit g i]
25
+ have he :
26
+ avg (rackWave A N) (brightProd F) =avg (lawNu p N t q) (prodW f) := by
27
+ unfold A; rw [←lawtray,mapW_avg]
28
+ have hh x : brightProd F (tray p t N x)=prodW f x := by
29
+ simp_rw [brightProd,tray_sips,F,Function.comp_apply,Equiv.symm_apply_apply]
30
+ rfl
31
+ simp_rw [hh]
32
+ have hw i : avg (rackWave (laneM A i) N) (F i)=avg (lawOmega p N (t i) (q i)) (f i) := by
33
+ unfold A; rw [←lawmug,mapW_avg]
34
+ simp_rw [F,Function.comp_apply, Equiv.symm_apply_apply]
35
+ have h := compare_waves A F (fun i x => hf _ _) hpL
36
+ simp_rw [he,hw] at h; exact h
37
+
38
+ theorem priceNu (t : Tagging p I) (q : I→F) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
39
+ (netFact (trayPort p t))⁻¹ ≤ pr unif (ownPart (p:=p) t q (N:=N)) := by
40
+ classical
41
+ let g := trayPort p t; let A := trayMap p t q
42
+ have hpL i := show 2*num (Port g i)-(N:ℝ)≤ -1 by linarith only [hN,port_limit g i]
43
+ have he : pr unif (gramPart A (N:=N))=pr unif (ownPart (p:=p) t q (N:=N)) := by
44
+ rw [← unif_equiv (tray p t N),mapW_pr]
45
+ unfold A
46
+ congr 1; ext i
47
+ exact (tray_wave ..).symm
48
+ rw [←he]
49
+ exact wave_norm A N hpL
50
+ theorem nuLaw (t : Tagging p I) (q : I → F) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
51
+ IsLaw (lawNu p N t q) := by
52
+ classical
53
+ rw [lawNu,←on_unif]
54
+ exact on_law unif_law.nz ((inv_pos_of_pos netFact_pos).trans_le (priceNu t q hN))
55
+
56
+ theorem priceOmega (t : Tagging p I) (q : I→F) (i : I) (hN : 2*num (I×Toast p)-(N:ℝ) ≤ -1) :
57
+ (netFact (street (trayPort p t) i))⁻¹ ≤ pr unif (ownOne p (t i) (q i) (N:=N)) := by
58
+ classical
59
+ let g := street (trayPort p t) i; let A := laneM (trayMap p t q) i
60
+ have hh j : num (Port g j)≤num (I×Toast p) := by
61
+ apply le_trans (port_limit g j)
62
+ exact_mod_cast Fintype.card_le_of_injective (fun j : Toast p => (i,j)) (fun i j h =>
63
+ congrArg Prod.snd h)
64
+ have hpL j := show 2*num (Port g j)-(N:ℝ)≤ -1 by linarith only [hN,hh j]
65
+ have he : pr unif (gramPart A (N:=N))=pr unif (ownOne p (t i) (q i) (N:=N)) := by
66
+ rw [← unif_equiv (mug p (t i) N),mapW_pr]
67
+ unfold A
68
+ congr 1; ext x
69
+ exact (mug_wave ..).symm
70
+ rw [←he]
71
+ exact wave_norm A N hpL
72
+
73
+ theorem omegaLaw (p : Shape) (l : Tag p.g) (q : F) (hN : 2*num (Toast p)-(N:ℝ)≤ -1) :
74
+ IsLaw (lawOmega p N l q) := by
75
+ classical
76
+ let t := fun (_ : Unit) => l
77
+ have hh : 2*num (Unit×Toast p)-(N:ℝ)≤ -1 := by simpa [num] using hN
78
+ rw [lawOmega,←on_unif]
79
+ exact on_law unif_law.nz ((inv_pos_of_pos netFact_pos).trans_le
80
+ (priceOmega t (fun _ : Unit => q) () hh))
81
+ end HadwigerCounterexample
82
+
83
+ end
84
+
85
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RefinedPinImages.lean CHANGED
@@ -1,240 +1,240 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.PartitionSelection
2
- import OAI.Combinatorics.HadwigerCounterexample.FourPhaseBits
3
-
4
- namespace OAI
5
-
6
- /-! # Refined Pin Images -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Matrix LinearMap Module Submodule Function Finset
11
- open scoped BigOperators
12
- variable {p : Shape} {n N : ℕ}
13
-
14
- def front (s : Plan p n) : Plan p n := prSmall s
15
-
16
- theorem front_rank (s : Plan p n) : planRank (front s) ≤2*planRank s := by
17
- classical
18
- unfold planRank
19
- rw [Finset.mul_sum]
20
- refine Finset.sum_le_sum fun i _ => ?_
21
- have hh (j) :
22
- dim ((sPin s i j).map (IP p n j).mulVecLin)≤dim (s i) :=
23
- (Submodule.finrank_map_le ..).trans (sPin_dim ..)
24
- exact ((Submodule.finrank_add_le_finrank_add_finrank ..).trans (add_le_add (hh _) (hh _))).trans_eq
25
- (two_mul _).symm
26
-
27
- theorem combined_rank (s t : Plan p n) : planRank (s⊔t)≤planRank s+planRank t := by
28
- unfold planRank; rw [←Finset.sum_add_distrib]
29
- exact Finset.sum_le_sum fun i _ => finrank_add_le_finrank_add_finrank ..
30
-
31
- abbrev Signal (p : Shape) (N : ℕ) {n} (s : Plan p n) := DTuple (p:=p) (fun z => dim (s z)) N
32
-
33
- def readPin (x : UnitType p n N) (a : Plan p n) : Signal p N a :=
34
- fun z => images x z * pack (a z)
35
-
36
- abbrev EffSeq {p : Shape} {n} (s : Plan p n) := ∀ i : Bool,effective s i
37
-
38
- def entrySeq {p : Shape} {n} (s : Plan p n) (m : Bool → Profile p n) : EffSeq s :=
39
- open scoped Classical in
40
- fun i => if h : m i ∈ effective s i then ⟨_,h⟩ else 0
41
-
42
- abbrev Story {p : Shape} {n N} (T : Cov p N) (s : Plan p n) :=
43
- Daypair p T × Signal p N (front s) × EffSeq s
44
-
45
- instance fintypeStory {s : Plan p n} {T : Cov p N} : Fintype (Story T s) := by
46
- classical
47
- let A := (coverX p T)
48
- letI : Finite (Module.Dual F A) := Finite.of_injective _ DFunLike.coe_injective
49
- letI : Fintype (Module.Dual F A) := Fintype.ofFinite _
50
- letI : Fintype (Daypair p T) := inferInstanceAs (Fintype (Daypair p T))
51
- letI : ∀ i,Fintype (effective s i) := fun i => Fintype.ofFinite _
52
- letI : Fintype (EffSeq s) := inferInstanceAs (Fintype (EffSeq s))
53
- letI : Fintype (Signal p N (front s)) := inferInstanceAs (Fintype (Signal p N (front s)))
54
- exact inferInstanceAs (Fintype (Story T s))
55
-
56
- def story (T : Cov p N) (s : Plan p n) (m : BMark p n N) (x : UnitType p n N) : Story T s :=
57
- (daypair p T (delta m) (fun _ => 1) x,readPin x (front s),entrySeq s (m x))
58
-
59
- def specialLeaf (T : Cov p N) (m : BMark p n N) (a : Pin p n N)
60
- (G : CTile p n N) (b : Pin p n N) :=
61
- a.sp ≤ b.sp ∧ front a.sp ≤ b.sp ∧
62
- ∀ x∈G,∀ y∈G, m x=m y ∧ delta m x=delta m y ∧
63
- ∀ i,juris p T x (unary i) = juris p T y (unary i)
64
-
65
- private theorem storyOk (T : Cov p N) (m : BMark p n N)
66
- (a : Pin p n N) (S : CTile p n N) (K : ℕ) (hk : planRank a.sp≤K)
67
- (h : ∀ x∈S, a.agree x ∧ covered p T (delta m x) ∧
68
- ∀ i,m x i∈effective a.sp i) :
69
- ∀ i : Story T a.sp,∃ b : Pin p n N,
70
- (∀ x∈ S,story T a.sp m x=i → b.agree x) ∧ planRank b.sp ≤ 3*K ∧
71
- ∀ c (G : CTile p n N), G.Nonempty →
72
- (∀ x∈G,x∈S ∧ story T a.sp m x=i) → b.sp ≤ c.sp → specialLeaf T m a G c := by
73
- classical
74
- intro i
75
- let A := a.sp ⊔ front a.sp
76
- have hK : planRank A≤3*K := by
77
- apply (combined_rank ..).trans
78
- have hh := front_rank a.sp
79
- omega
80
- have h1 : ∃ x : UnitType p n N, ∀ y∈ S,story T a.sp m y=i → (Pin.make A x).agree y := by
81
- by_cases hg : ∃ x∈S,story T a.sp m x=i
82
- · obtain ⟨x,hx,he⟩ := hg
83
- refine ⟨x,fun y hy ht => ?_⟩
84
- let b := Pin.make (front a.sp) x
85
- have hf : b.agree y := by
86
- rw [Pin.agree_pack]; intro z
87
- have hh : readPin y (front a.sp)=readPin x (front a.sp) :=
88
- congrArg (fun x : Story T a.sp => x.2.1) (ht.trans he.symm)
89
- exact congr_fun hh z
90
- exact (Pin.combine (b:=b) (h x hx).1 (show b.agree x from fun _ _ _ => rfl)).mpr
91
- ⟨(h y hy).1,hf⟩
92
- exact ⟨0,fun x hx he => (hg ⟨x,hx,he⟩).elim⟩
93
- obtain ⟨x,hx⟩ := h1
94
- refine ⟨Pin.make A x,hx,hK,fun c G hm hC hA => ⟨le_trans le_sup_left hA,
95
- le_trans le_sup_right hA, fun x hx y hy => ?_⟩⟩
96
- have he := (hC x hx).2.trans (hC y hy).2.symm
97
- have hD := congrArg Prod.fst he
98
- have hr z (hz : z∈G) : (story T a.sp m z).1.1.val=delta m z := by
99
- unfold story daypair; change (cutDown p T (delta m) (fun _ => 1) z).val=_
100
- unfold cutDown; rw [dite_eq_left ⟨(by norm_num),(h z (hC z hz).1).2.1⟩]
101
- have ht z (hz : z∈G) (i) : ((story T a.sp m z).2.2 i).val=m z i := by
102
- unfold story entrySeq; dsimp only
103
- rw [dite_eq_left ((h z (hC z hz).1).2.2 i)]
104
- refine ⟨funext (fun i => ?_),?_,fun i => ?_⟩
105
- · rw [←ht x hx i,←ht y hy i,he]
106
- · rw [←hr x hx, ←hr y hy,he]
107
- exact congr_fun (congrArg Prod.snd hD) i
108
-
109
- theorem story_size (T : Cov p N) (s : Plan p n) (K d : ℕ)
110
- (hK : planRank s≤K) (hd : cdim p T≤d) :
111
- num (Story T s) ≤ bp ((3*d+2*K : ℝ)*N + 2*K^2) := by
112
- classical
113
- have h1 : dim (coverX p T)≤ N*d := (cover_dim p T).trans (Nat.mul_le_mul_left N hd)
114
- have h2 : dim (Daypair p T) ≤ 3*d*N := by
115
- unfold dim Daypair
116
- rw [finrank_prod,finrank_pi_fintype, Fintype.sum_bool,Subspace.dual_finrank_eq]
117
- change dim _+(dim _+dim _) ≤ _
118
- nlinarith
119
- have h3 : dim (Signal p N (front s)) ≤ (2*K)*N := tuple_dim.trans_le (by
120
- rw [mul_comm]; apply Nat.mul_le_mul_right
121
- exact (front_rank s).trans (Nat.mul_le_mul_left _ hK))
122
- have h4 : dim (EffSeq s)≤ 2*K^2 := by
123
- unfold EffSeq dim
124
- rw [finrank_pi_fintype,Fintype.sum_bool,two_mul]
125
- have hh i : dim (effective s i) ≤ K^2 := (effective_dim ..).trans (by gcongr)
126
- exact add_le_add (hh _) (hh _)
127
- unfold num
128
- rw [card_space]
129
- apply bp_le
130
- have hh : dim (Story T s)≤ (3*d+2*K)*N+2*K^2 := by
131
- unfold Story dim; rw [finrank_prod, finrank_prod (M:=Signal p N (front s))]
132
- change dim (Daypair p T)+(dim (Signal p N (front s))+dim (EffSeq s)) ≤ _
133
- rw [Nat.add_mul,add_assoc]
134
- exact add_le_add h2 (add_le_add h3 h4)
135
- exact_mod_cast hh
136
-
137
- theorem plan_inc_eff (s t : Plan p n) (h : s ≤ t) (i : Bool) :
138
- effective s i≤effective t i := by
139
- intro x hx
140
- obtain ⟨h1,h2⟩ := effective_mem.mp hx
141
- have he z : sPin s z i ≤ sPin t z i := Submodule.map_mono (h z)
142
- exact effective_mem.mpr ⟨h1,fun z => box_le (he _) (he _) (h2 _)⟩
143
-
144
- /-- Old contractions on admissible tables evaluate correctly when
145
- the enlarged leaf has pinned the entire front. -/
146
- theorem front_table (x y : UnitType p n N)
147
- {a b : Pin p n N} (s : Plan p n)
148
- (hf : front s≤a.sp)
149
- {M : Cross p n} (hx : a.agree x) (hB : tableFlag b a (reciprocal p M) y)
150
- (i j : Bool) (w : Profile p n) (h : w∈effective s i) :
151
- contract p (actual p x y) i j w=contract p M i j w := by
152
- have hz (z) (u : Dir p n) (hu : u∈a.sp z) :
153
- channelOut p M j z *ᵥ u=channelOut p (actual p x y) j z *ᵥ u := by
154
- refine channel_same j z u (fun v => ?_)
155
- have h1 : IH p n j *ᵥ v∈tabSpace b.sp (flipZ p z) :=
156
- channel_le_table b.sp _ _ ⟨_,rfl⟩
157
- have h2 : u∈a.sp (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
158
- have he := hB (flipZ p z) _ h1 _ h2
159
- have hg := flag_actual (a:=b) y x hx (flipZ p z) _ h1 _ h2
160
- rw [← reciprocal_actual x y] at hg
161
- simp only [reciprocal,flipZ_flip,evmat_transpose] at he hg
162
- exact he.trans hg.symm
163
- have he z : (sPin s z i).map (IP p n i).mulVecLin ≤ a.sp z := by
164
- apply le_trans _ (hf z)
165
- cases i; exact le_sup_right; exact le_sup_left
166
- change ∑ e, _=_
167
- refine Finset.sum_congr rfl fun e _ => ?_
168
- refine (box_eval_iff (a.sp (e,true)) (a.sp (e,false)) _ _).mp ?_ _
169
- (box_le (he _) (he _) (lift_mem_box _ _ ((effective_mem.mp h).2 e)))
170
- intro x hx y hy
171
- rw [ev_duom,ev_duom,hz _ _ hx,hz _ _ hy]
172
-
173
- set_option maxHeartbeats 900000 in
174
- theorem weave (P : UnitType p n N→Prop)
175
- {w μ : Wgt (UnitType p n N)}
176
- (m : BMark p n N) (T : Cov p N)
177
- (hw : ∀ x,0≤w x) {D ζ u : ℝ} (hz : 0 < ζ) (hz' : ζ<1) {K K' d : ℕ}
178
- (hn : 0<N)
179
- (hμ : ∀ a : Pin p n N,pr μ a.agree ≤ fee N (ζ/4) (planRank a.sp))
180
- (hd : cdim p T≤d)
181
- {F : Canopy p n N} (hT : apart F) (g : CTile p n N → Pin p n N)
182
- (h : ∀ i∈F,Ripe p w μ i (g i) D ζ K)
183
- (hg : ∀ i∈ F,∀ x∈i,P x→covered p T (delta m x) ∧ ∀ j,m x j∈effective (g i).sp j)
184
- (hk : D+u+ζ≤(ζ-ζ/4)*K')
185
- (hu : (3*d+2*K:ℝ)*N+2*K^2 ≤ (u-1)*N) :
186
- ∃ V : Canopy p n N,apart V ∧
187
- (∀ S∈V,∃ i∈F,S⊆i ∧ (∀ x∈ S,P x) ∧
188
- ∃ b : Pin p n N,Ripe p w μ S b (D+u+K'+1) ζ (3*K+K') ∧ specialLeaf T m (g i) S b) ∧
189
- pr w (fun x => inTiles F x ∧ P x ∧ ¬inTiles V x) ≤
190
- allMass w F*(bp (-(N:ℝ))+bp (-ζ*N)) := by
191
- classical
192
- refine improve F w hw P
193
- (fun i S => (∀ x∈ S,P x) ∧ ∃ b : Pin p n N,Ripe p w μ S b (D+u+K'+1) ζ (3*K+K') ∧
194
- specialLeaf T m (g i) S b)
195
- hT (fun i hi => ?_)
196
- let A := CTile p n N
197
- let S := i.filter P
198
- let Q := specialLeaf T m (g i)
199
- have hs (x : UnitType p n N) : x∈S↔ x∈i∧ P x := Finset.mem_filter
200
- have hq := h i hi
201
- let w' := partW w i
202
- have hw' : IsLaw w' := on_law hw hq.pos
203
- have hg : ∀ x∈ S,(g i).agree x∧ covered p T (delta m x)∧∀ j,m x j∈effective (g i).sp j :=
204
- fun x h => ⟨hq.fixpin _ ((hs ..).mp h).1,hg i hi x ((hs ..).mp h).1 ((hs ..).mp h).2⟩
205
- obtain ⟨V,hV,hX,hZ⟩ := reparts w' μ hw' S D ζ u hn hz hz' hμ hq.density
206
- (story T (g i).sp m) (3*K) K' Q
207
- (storyOk T m (g i) S K hq.bound hg) hk
208
- refine ⟨V,hV,fun x hx => ?_,?_⟩
209
- · obtain ⟨hS,b,hB,hL⟩ := hX x hx
210
- have hx' : x⊆i := hS.trans (Finset.filter_subset ..)
211
- obtain ⟨he,hLaw⟩ := issued_law w hw hq.pos hx' hB.pos
212
- refine ⟨hx', (fun z hz => ((hs ..).mp (hS hz)).2),b,⟨he,hB.fixpin,hB.bound,?_,?_⟩,hL⟩
213
- · rw [hLaw]; exact hB.clear
214
- rw [hLaw]; exact hB.density
215
- simp_rw [hs,and_assoc] at hZ
216
- refine hZ.trans (add_le_add_left ?_ _)
217
- refine (mul_le_mul_of_nonneg_right (story_size T _ K d hq.bound hd) (bp_pos _).le).trans ?_
218
- rw [←bp_add]; apply bp_le
219
- linarith only [hu]
220
-
221
- theorem phase_fixed (m : BMark p n N) (T : Cov p N)
222
- (A A' B B' : Pin p n N) {S R : CTile p n N}
223
- {x x' y y' : UnitType p n N}
224
- (h : specialLeaf T m A S A') (hg : specialLeaf T m B R B')
225
- (hx : x∈S) (hx' : x'∈S) (hy : y∈R) (hy' : y'∈R)
226
- (hC : covered p T (delta m x)) (hC' : covered p T (delta m y)) :
227
- quench p (delta m) (x,y)=quench p (delta m) (x',y') := by
228
- obtain ⟨_,h1,h2⟩ := h.2.2 x hx x' hx'
229
- obtain ⟨_,h3,h4⟩ := hg.2.2 y hy y' hy'
230
- unfold quench; dsimp only
231
- rw [← h1, ← h3]
232
- exact Prod.ext
233
- (funext fun i => LinearMap.congr_fun (h4 i) (⟨_,hC⟩ : coverX p T))
234
- (funext fun i => LinearMap.congr_fun (h2 i) (⟨_,hC'⟩ : coverX p T))
235
-
236
- end HadwigerCounterexample
237
-
238
- end
239
-
240
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.PartitionSelection
2
+ import OAI.Combinatorics.HadwigerCounterexample.FourPhaseBits
3
+
4
+ namespace OAI
5
+
6
+ /-! # Refined Pin Images -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Matrix LinearMap Module Submodule Function Finset
11
+ open scoped BigOperators
12
+ variable {p : Shape} {n N : ℕ}
13
+
14
+ def front (s : Plan p n) : Plan p n := prSmall s
15
+
16
+ theorem front_rank (s : Plan p n) : planRank (front s) ≤2*planRank s := by
17
+ classical
18
+ unfold planRank
19
+ rw [Finset.mul_sum]
20
+ refine Finset.sum_le_sum fun i _ => ?_
21
+ have hh (j) :
22
+ dim ((sPin s i j).map (IP p n j).mulVecLin)≤dim (s i) :=
23
+ (Submodule.finrank_map_le ..).trans (sPin_dim ..)
24
+ exact ((Submodule.finrank_add_le_finrank_add_finrank ..).trans (add_le_add (hh _) (hh _))).trans_eq
25
+ (two_mul _).symm
26
+
27
+ theorem combined_rank (s t : Plan p n) : planRank (s⊔t)≤planRank s+planRank t := by
28
+ unfold planRank; rw [←Finset.sum_add_distrib]
29
+ exact Finset.sum_le_sum fun i _ => finrank_add_le_finrank_add_finrank ..
30
+
31
+ abbrev Signal (p : Shape) (N : ℕ) {n} (s : Plan p n) := DTuple (p:=p) (fun z => dim (s z)) N
32
+
33
+ def readPin (x : UnitType p n N) (a : Plan p n) : Signal p N a :=
34
+ fun z => images x z * pack (a z)
35
+
36
+ abbrev EffSeq {p : Shape} {n} (s : Plan p n) := ∀ i : Bool,effective s i
37
+
38
+ def entrySeq {p : Shape} {n} (s : Plan p n) (m : Bool → Profile p n) : EffSeq s :=
39
+ open scoped Classical in
40
+ fun i => if h : m i ∈ effective s i then ⟨_,h⟩ else 0
41
+
42
+ abbrev Story {p : Shape} {n N} (T : Cov p N) (s : Plan p n) :=
43
+ Daypair p T × Signal p N (front s) × EffSeq s
44
+
45
+ instance fintypeStory {s : Plan p n} {T : Cov p N} : Fintype (Story T s) := by
46
+ classical
47
+ let A := (coverX p T)
48
+ letI : Finite (Module.Dual F A) := Finite.of_injective _ DFunLike.coe_injective
49
+ letI : Fintype (Module.Dual F A) := Fintype.ofFinite _
50
+ letI : Fintype (Daypair p T) := inferInstanceAs (Fintype (Daypair p T))
51
+ letI : ∀ i,Fintype (effective s i) := fun i => Fintype.ofFinite _
52
+ letI : Fintype (EffSeq s) := inferInstanceAs (Fintype (EffSeq s))
53
+ letI : Fintype (Signal p N (front s)) := inferInstanceAs (Fintype (Signal p N (front s)))
54
+ exact inferInstanceAs (Fintype (Story T s))
55
+
56
+ def story (T : Cov p N) (s : Plan p n) (m : BMark p n N) (x : UnitType p n N) : Story T s :=
57
+ (daypair p T (delta m) (fun _ => 1) x,readPin x (front s),entrySeq s (m x))
58
+
59
+ def specialLeaf (T : Cov p N) (m : BMark p n N) (a : Pin p n N)
60
+ (G : CTile p n N) (b : Pin p n N) :=
61
+ a.sp ≤ b.sp ∧ front a.sp ≤ b.sp ∧
62
+ ∀ x∈G,∀ y∈G, m x=m y ∧ delta m x=delta m y ∧
63
+ ∀ i,juris p T x (unary i) = juris p T y (unary i)
64
+
65
+ private theorem storyOk (T : Cov p N) (m : BMark p n N)
66
+ (a : Pin p n N) (S : CTile p n N) (K : ℕ) (hk : planRank a.sp≤K)
67
+ (h : ∀ x∈S, a.agree x ∧ covered p T (delta m x) ∧
68
+ ∀ i,m x i∈effective a.sp i) :
69
+ ∀ i : Story T a.sp,∃ b : Pin p n N,
70
+ (∀ x∈ S,story T a.sp m x=i → b.agree x) ∧ planRank b.sp ≤ 3*K ∧
71
+ ∀ c (G : CTile p n N), G.Nonempty →
72
+ (∀ x∈G,x∈S ∧ story T a.sp m x=i) → b.sp ≤ c.sp → specialLeaf T m a G c := by
73
+ classical
74
+ intro i
75
+ let A := a.sp ⊔ front a.sp
76
+ have hK : planRank A≤3*K := by
77
+ apply (combined_rank ..).trans
78
+ have hh := front_rank a.sp
79
+ omega
80
+ have h1 : ∃ x : UnitType p n N, ∀ y∈ S,story T a.sp m y=i → (Pin.make A x).agree y := by
81
+ by_cases hg : ∃ x∈S,story T a.sp m x=i
82
+ · obtain ⟨x,hx,he⟩ := hg
83
+ refine ⟨x,fun y hy ht => ?_⟩
84
+ let b := Pin.make (front a.sp) x
85
+ have hf : b.agree y := by
86
+ rw [Pin.agree_pack]; intro z
87
+ have hh : readPin y (front a.sp)=readPin x (front a.sp) :=
88
+ congrArg (fun x : Story T a.sp => x.2.1) (ht.trans he.symm)
89
+ exact congr_fun hh z
90
+ exact (Pin.combine (b:=b) (h x hx).1 (show b.agree x from fun _ _ _ => rfl)).mpr
91
+ ⟨(h y hy).1,hf⟩
92
+ exact ⟨0,fun x hx he => (hg ⟨x,hx,he⟩).elim⟩
93
+ obtain ⟨x,hx⟩ := h1
94
+ refine ⟨Pin.make A x,hx,hK,fun c G hm hC hA => ⟨le_trans le_sup_left hA,
95
+ le_trans le_sup_right hA, fun x hx y hy => ?_⟩⟩
96
+ have he := (hC x hx).2.trans (hC y hy).2.symm
97
+ have hD := congrArg Prod.fst he
98
+ have hr z (hz : z∈G) : (story T a.sp m z).1.1.val=delta m z := by
99
+ unfold story daypair; change (cutDown p T (delta m) (fun _ => 1) z).val=_
100
+ unfold cutDown; rw [dite_eq_left ⟨(by norm_num),(h z (hC z hz).1).2.1⟩]
101
+ have ht z (hz : z∈G) (i) : ((story T a.sp m z).2.2 i).val=m z i := by
102
+ unfold story entrySeq; dsimp only
103
+ rw [dite_eq_left ((h z (hC z hz).1).2.2 i)]
104
+ refine ⟨funext (fun i => ?_),?_,fun i => ?_⟩
105
+ · rw [←ht x hx i,←ht y hy i,he]
106
+ · rw [←hr x hx, ←hr y hy,he]
107
+ exact congr_fun (congrArg Prod.snd hD) i
108
+
109
+ theorem story_size (T : Cov p N) (s : Plan p n) (K d : ℕ)
110
+ (hK : planRank s≤K) (hd : cdim p T≤d) :
111
+ num (Story T s) ≤ bp ((3*d+2*K : ℝ)*N + 2*K^2) := by
112
+ classical
113
+ have h1 : dim (coverX p T)≤ N*d := (cover_dim p T).trans (Nat.mul_le_mul_left N hd)
114
+ have h2 : dim (Daypair p T) ≤ 3*d*N := by
115
+ unfold dim Daypair
116
+ rw [finrank_prod,finrank_pi_fintype, Fintype.sum_bool,Subspace.dual_finrank_eq]
117
+ change dim _+(dim _+dim _) ≤ _
118
+ nlinarith
119
+ have h3 : dim (Signal p N (front s)) ≤ (2*K)*N := tuple_dim.trans_le (by
120
+ rw [mul_comm]; apply Nat.mul_le_mul_right
121
+ exact (front_rank s).trans (Nat.mul_le_mul_left _ hK))
122
+ have h4 : dim (EffSeq s)≤ 2*K^2 := by
123
+ unfold EffSeq dim
124
+ rw [finrank_pi_fintype,Fintype.sum_bool,two_mul]
125
+ have hh i : dim (effective s i) ≤ K^2 := (effective_dim ..).trans (by gcongr)
126
+ exact add_le_add (hh _) (hh _)
127
+ unfold num
128
+ rw [card_space]
129
+ apply bp_le
130
+ have hh : dim (Story T s)≤ (3*d+2*K)*N+2*K^2 := by
131
+ unfold Story dim; rw [finrank_prod, finrank_prod (M:=Signal p N (front s))]
132
+ change dim (Daypair p T)+(dim (Signal p N (front s))+dim (EffSeq s)) ≤ _
133
+ rw [Nat.add_mul,add_assoc]
134
+ exact add_le_add h2 (add_le_add h3 h4)
135
+ exact_mod_cast hh
136
+
137
+ theorem plan_inc_eff (s t : Plan p n) (h : s ≤ t) (i : Bool) :
138
+ effective s i≤effective t i := by
139
+ intro x hx
140
+ obtain ⟨h1,h2⟩ := effective_mem.mp hx
141
+ have he z : sPin s z i ≤ sPin t z i := Submodule.map_mono (h z)
142
+ exact effective_mem.mpr ⟨h1,fun z => box_le (he _) (he _) (h2 _)⟩
143
+
144
+ /-- Old contractions on admissible tables evaluate correctly when
145
+ the enlarged leaf has pinned the entire front. -/
146
+ theorem front_table (x y : UnitType p n N)
147
+ {a b : Pin p n N} (s : Plan p n)
148
+ (hf : front s≤a.sp)
149
+ {M : Cross p n} (hx : a.agree x) (hB : tableFlag b a (reciprocal p M) y)
150
+ (i j : Bool) (w : Profile p n) (h : w∈effective s i) :
151
+ contract p (actual p x y) i j w=contract p M i j w := by
152
+ have hz (z) (u : Dir p n) (hu : u∈a.sp z) :
153
+ channelOut p M j z *ᵥ u=channelOut p (actual p x y) j z *ᵥ u := by
154
+ refine channel_same j z u (fun v => ?_)
155
+ have h1 : IH p n j *ᵥ v∈tabSpace b.sp (flipZ p z) :=
156
+ channel_le_table b.sp _ _ ⟨_,rfl⟩
157
+ have h2 : u∈a.sp (flipZ p (flipZ p z)) := by rwa [flipZ_flip]
158
+ have he := hB (flipZ p z) _ h1 _ h2
159
+ have hg := flag_actual (a:=b) y x hx (flipZ p z) _ h1 _ h2
160
+ rw [← reciprocal_actual x y] at hg
161
+ simp only [reciprocal,flipZ_flip,evmat_transpose] at he hg
162
+ exact he.trans hg.symm
163
+ have he z : (sPin s z i).map (IP p n i).mulVecLin ≤ a.sp z := by
164
+ apply le_trans _ (hf z)
165
+ cases i; exact le_sup_right; exact le_sup_left
166
+ change ∑ e, _=_
167
+ refine Finset.sum_congr rfl fun e _ => ?_
168
+ refine (box_eval_iff (a.sp (e,true)) (a.sp (e,false)) _ _).mp ?_ _
169
+ (box_le (he _) (he _) (lift_mem_box _ _ ((effective_mem.mp h).2 e)))
170
+ intro x hx y hy
171
+ rw [ev_duom,ev_duom,hz _ _ hx,hz _ _ hy]
172
+
173
+ set_option maxHeartbeats 900000 in
174
+ theorem weave (P : UnitType p n N→Prop)
175
+ {w μ : Wgt (UnitType p n N)}
176
+ (m : BMark p n N) (T : Cov p N)
177
+ (hw : ∀ x,0≤w x) {D ζ u : ℝ} (hz : 0 < ζ) (hz' : ζ<1) {K K' d : ℕ}
178
+ (hn : 0<N)
179
+ (hμ : ∀ a : Pin p n N,pr μ a.agree ≤ fee N (ζ/4) (planRank a.sp))
180
+ (hd : cdim p T≤d)
181
+ {F : Canopy p n N} (hT : apart F) (g : CTile p n N → Pin p n N)
182
+ (h : ∀ i∈F,Ripe p w μ i (g i) D ζ K)
183
+ (hg : ∀ i∈ F,∀ x∈i,P x→covered p T (delta m x) ∧ ∀ j,m x j∈effective (g i).sp j)
184
+ (hk : D+u+ζ≤(ζ-ζ/4)*K')
185
+ (hu : (3*d+2*K:ℝ)*N+2*K^2 ≤ (u-1)*N) :
186
+ ∃ V : Canopy p n N,apart V ∧
187
+ (∀ S∈V,∃ i∈F,S⊆i ∧ (∀ x∈ S,P x) ∧
188
+ ∃ b : Pin p n N,Ripe p w μ S b (D+u+K'+1) ζ (3*K+K') ∧ specialLeaf T m (g i) S b) ∧
189
+ pr w (fun x => inTiles F x ∧ P x ∧ ¬inTiles V x) ≤
190
+ allMass w F*(bp (-(N:ℝ))+bp (-ζ*N)) := by
191
+ classical
192
+ refine improve F w hw P
193
+ (fun i S => (∀ x∈ S,P x) ∧ ∃ b : Pin p n N,Ripe p w μ S b (D+u+K'+1) ζ (3*K+K') ∧
194
+ specialLeaf T m (g i) S b)
195
+ hT (fun i hi => ?_)
196
+ let A := CTile p n N
197
+ let S := i.filter P
198
+ let Q := specialLeaf T m (g i)
199
+ have hs (x : UnitType p n N) : x∈S↔ x∈i∧ P x := Finset.mem_filter
200
+ have hq := h i hi
201
+ let w' := partW w i
202
+ have hw' : IsLaw w' := on_law hw hq.pos
203
+ have hg : ∀ x∈ S,(g i).agree x∧ covered p T (delta m x)∧∀ j,m x j∈effective (g i).sp j :=
204
+ fun x h => ⟨hq.fixpin _ ((hs ..).mp h).1,hg i hi x ((hs ..).mp h).1 ((hs ..).mp h).2⟩
205
+ obtain ⟨V,hV,hX,hZ⟩ := reparts w' μ hw' S D ζ u hn hz hz' hμ hq.density
206
+ (story T (g i).sp m) (3*K) K' Q
207
+ (storyOk T m (g i) S K hq.bound hg) hk
208
+ refine ⟨V,hV,fun x hx => ?_,?_⟩
209
+ · obtain ⟨hS,b,hB,hL⟩ := hX x hx
210
+ have hx' : x⊆i := hS.trans (Finset.filter_subset ..)
211
+ obtain ⟨he,hLaw⟩ := issued_law w hw hq.pos hx' hB.pos
212
+ refine ⟨hx', (fun z hz => ((hs ..).mp (hS hz)).2),b,⟨he,hB.fixpin,hB.bound,?_,?_⟩,hL⟩
213
+ · rw [hLaw]; exact hB.clear
214
+ rw [hLaw]; exact hB.density
215
+ simp_rw [hs,and_assoc] at hZ
216
+ refine hZ.trans (add_le_add_left ?_ _)
217
+ refine (mul_le_mul_of_nonneg_right (story_size T _ K d hq.bound hd) (bp_pos _).le).trans ?_
218
+ rw [←bp_add]; apply bp_le
219
+ linarith only [hu]
220
+
221
+ theorem phase_fixed (m : BMark p n N) (T : Cov p N)
222
+ (A A' B B' : Pin p n N) {S R : CTile p n N}
223
+ {x x' y y' : UnitType p n N}
224
+ (h : specialLeaf T m A S A') (hg : specialLeaf T m B R B')
225
+ (hx : x∈S) (hx' : x'∈S) (hy : y∈R) (hy' : y'∈R)
226
+ (hC : covered p T (delta m x)) (hC' : covered p T (delta m y)) :
227
+ quench p (delta m) (x,y)=quench p (delta m) (x',y') := by
228
+ obtain ⟨_,h1,h2⟩ := h.2.2 x hx x' hx'
229
+ obtain ⟨_,h3,h4⟩ := hg.2.2 y hy y' hy'
230
+ unfold quench; dsimp only
231
+ rw [← h1, ← h3]
232
+ exact Prod.ext
233
+ (funext fun i => LinearMap.congr_fun (h4 i) (⟨_,hC⟩ : coverX p T))
234
+ (funext fun i => LinearMap.congr_fun (h2 i) (⟨_,hC'⟩ : coverX p T))
235
+
236
+ end HadwigerCounterexample
237
+
238
+ end
239
+
240
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RefinementEnergy.lean CHANGED
@@ -1,105 +1,105 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.InformationSmallSetBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Refinement Energy -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Filter Real
10
- open scoped BigOperators
11
- variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
-
13
- theorem var_nonneg (p q : Wgt A) : 0≤ varOne p q := Finset.sum_nonneg fun _ _ => abs_nonneg _
14
- theorem var_tri (p q r : Wgt A) :
15
- varOne p q≤varOne p r+varOne r q := by
16
- unfold varOne; rw [← Finset.sum_add_distrib]; exact sum_le_sum fun i _ => abs_sub_le _ _ _
17
-
18
- theorem var_pr (p q : Wgt A) (P : A→Prop) :
19
- pr p P-pr q P ≤ varOne p q := by
20
- unfold pr avg varOne
21
- rw [← Finset.sum_sub_distrib]
22
- refine sum_le_sum fun i _ => ?_
23
- by_cases h : P i
24
- · simp only [ind_one h,mul_one]; exact le_abs_self _
25
- simp only [ind_zero h,mul_zero,sub_zero]; exact abs_nonneg _
26
-
27
- theorem var_event (p q : Wgt A) (h : tot p=tot q) :
28
- let P := fun i => q i<p i
29
- varOne p q=2*(pr p P-pr q P) := by
30
- intro P
31
- have hi (i:A) : |p i-q i|=
32
- 2*(p i*ind (P i)-q i*ind (P i))+q i-p i := by
33
- by_cases h : P i
34
- · rw [ind_one h,abs_of_pos (sub_pos.mpr h)]; ring
35
- rw [ind_zero h,abs_of_nonpos (sub_nonpos.mpr (le_of_not_gt h))]; ring
36
- unfold varOne pr avg
37
- simp_rw [hi,Finset.sum_sub_distrib,Finset.sum_add_distrib,← Finset.mul_sum,
38
- Finset.sum_sub_distrib]
39
- rw [show ∑ i,q i=∑ i,p i from h.symm]; ring
40
-
41
- theorem var_mix {μ : Wgt A} (p q : A→Wgt B) (hμ : ∀ i,0≤μ i) :
42
- varOne (mixW μ p) (mixW μ q) ≤ avg μ (fun i => varOne (p i) (q i)) := by
43
- unfold varOne mixW
44
- rw [avg_sum]
45
- simp_rw [←avg_sub]; exact sum_le_sum fun i _ => abs_avg_le hμ
46
-
47
- omit [Fintype D] in
48
- theorem bucket_m (μ : Wgt A) (p : A → Wgt B) (f : B→C) (g : C→D) :
49
- mapW (bucket unif (g∘f) (mixW μ p)) f =
50
- mixW μ (fun x => bucket (mapW unif f) g (mapW (p x) f)) := by
51
- rw [bucket_mix,map_mix]
52
- simp only [bucket_nested]
53
-
54
- variable {μ : Wgt A} {p : A→Wgt B}
55
-
56
- theorem tariffs_monotone {r s : ℕ} {a b V : ℝ} (h : tariffs μ p r a V)
57
- (hrs : s≤r) (hb : a ≤ b) : tariffs μ p s b V :=
58
- fun C _ hC f hf => h C (hC.trans hrs) f (fun _ hi => hb.trans (hf _ hi))
59
-
60
- theorem budget_nonneg [Nonempty B] (h : Ultra μ p) (f : B→ C) :
61
- 0≤budget μ p f := by
62
- have h0 {p : Wgt B} : lsupp p unif := fun i _ => by rw [unif_apply]; positivity
63
- have hv : IsLaw (mapW unif f) := mapW_law unif_law f
64
- exact avg_nonneg h.law.nz (fun i => tension_nonneg (mapW_law (h.labs i) f) hv
65
- (lsupp.map h0 unif_law.nz f))
66
-
67
- set_option maxHeartbeats 800000 in
68
- theorem budget_progress [Nonempty B] (h : Ultra μ p) (w : Wgt B)
69
- (hw : catalog μ p w) (f : B→C) (g : C→D) :
70
- varOne (mapW w f) (mapW (bucket unif (g∘f) w) f) ^ 2 ≤
71
- (budget μ p f-budget μ p (g∘f))*4 := by
72
- classical
73
- let q := mapW unif f
74
- let Q (i : A) := mapW (p i) f
75
- let R (i : A) := bucket q g (Q i)
76
- have hu : IsLaw q := mapW_law unif_law f
77
- have hQ (i) : IsLaw (Q i) := mapW_law (h.labs i) f
78
- have he (i) : lsupp (Q i) q := lsupp.map
79
- (p:=p i) (q:=unif) (fun i _ => by rw [unif_apply]; positivity) unif_law.nz f
80
- have hp (i : A) :
81
- varOne (Q i) (R i) ^ 2 ≤ tension (Q i) (R i) *4 :=
82
- var_tension _ _ (hQ i) (bucket_law (hQ i) g hu.nz (he i))
83
- (lsupp_bucket g (hQ i).nz hu.nz (he i))
84
- have hn :
85
- budget μ p f=avg μ (fun i => tension (Q i) (R i))+budget μ p (g∘f) := by
86
- unfold budget
87
- have hi := fun i : A => tension_stage (Q i) q (hQ i).nz hu.nz (he i) g
88
- unfold Q q at hi
89
- simp_rw [map_nested] at hi
90
- rw [← avg_add]; exact avg_congr fun i _ => hi i
91
- let Z (i : A) := varOne (Q i) (R i)
92
- have hs : avg μ Z ^ 2 ≤ avg μ (fun i => Z i ^ 2) := by
93
- have hh := avg_CS h.law.nz Z (fun _ => 1)
94
- simp only [mul_one,one_pow,h.law.avg_const] at hh; exact hh
95
- obtain ⟨s,hs',ht,rfl⟩ := hw
96
- rw [bucket_m,map_mix]
97
- have h' := (var_mix Q R hs').trans (avg_mono_left (fun i => var_nonneg ..) ht)
98
- refine (pow_le_pow_left₀ (var_nonneg ..) h' 2).trans (hs.trans ?_)
99
- have hz := avg_mono h.law.nz hp; rw [avg_mul] at hz
100
- rw [hn]; exact hz.trans_eq (by ring)
101
- end HadwigerCounterexample
102
-
103
- end
104
-
105
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.InformationSmallSetBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Refinement Energy -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Filter Real
10
+ open scoped BigOperators
11
+ variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
+
13
+ theorem var_nonneg (p q : Wgt A) : 0≤ varOne p q := Finset.sum_nonneg fun _ _ => abs_nonneg _
14
+ theorem var_tri (p q r : Wgt A) :
15
+ varOne p q≤varOne p r+varOne r q := by
16
+ unfold varOne; rw [← Finset.sum_add_distrib]; exact sum_le_sum fun i _ => abs_sub_le _ _ _
17
+
18
+ theorem var_pr (p q : Wgt A) (P : A→Prop) :
19
+ pr p P-pr q P ≤ varOne p q := by
20
+ unfold pr avg varOne
21
+ rw [← Finset.sum_sub_distrib]
22
+ refine sum_le_sum fun i _ => ?_
23
+ by_cases h : P i
24
+ · simp only [ind_one h,mul_one]; exact le_abs_self _
25
+ simp only [ind_zero h,mul_zero,sub_zero]; exact abs_nonneg _
26
+
27
+ theorem var_event (p q : Wgt A) (h : tot p=tot q) :
28
+ let P := fun i => q i<p i
29
+ varOne p q=2*(pr p P-pr q P) := by
30
+ intro P
31
+ have hi (i:A) : |p i-q i|=
32
+ 2*(p i*ind (P i)-q i*ind (P i))+q i-p i := by
33
+ by_cases h : P i
34
+ · rw [ind_one h,abs_of_pos (sub_pos.mpr h)]; ring
35
+ rw [ind_zero h,abs_of_nonpos (sub_nonpos.mpr (le_of_not_gt h))]; ring
36
+ unfold varOne pr avg
37
+ simp_rw [hi,Finset.sum_sub_distrib,Finset.sum_add_distrib,← Finset.mul_sum,
38
+ Finset.sum_sub_distrib]
39
+ rw [show ∑ i,q i=∑ i,p i from h.symm]; ring
40
+
41
+ theorem var_mix {μ : Wgt A} (p q : A→Wgt B) (hμ : ∀ i,0≤μ i) :
42
+ varOne (mixW μ p) (mixW μ q) ≤ avg μ (fun i => varOne (p i) (q i)) := by
43
+ unfold varOne mixW
44
+ rw [avg_sum]
45
+ simp_rw [←avg_sub]; exact sum_le_sum fun i _ => abs_avg_le hμ
46
+
47
+ omit [Fintype D] in
48
+ theorem bucket_m (μ : Wgt A) (p : A → Wgt B) (f : B→C) (g : C→D) :
49
+ mapW (bucket unif (g∘f) (mixW μ p)) f =
50
+ mixW μ (fun x => bucket (mapW unif f) g (mapW (p x) f)) := by
51
+ rw [bucket_mix,map_mix]
52
+ simp only [bucket_nested]
53
+
54
+ variable {μ : Wgt A} {p : A→Wgt B}
55
+
56
+ theorem tariffs_monotone {r s : ℕ} {a b V : ℝ} (h : tariffs μ p r a V)
57
+ (hrs : s≤r) (hb : a ≤ b) : tariffs μ p s b V :=
58
+ fun C _ hC f hf => h C (hC.trans hrs) f (fun _ hi => hb.trans (hf _ hi))
59
+
60
+ theorem budget_nonneg [Nonempty B] (h : Ultra μ p) (f : B→ C) :
61
+ 0≤budget μ p f := by
62
+ have h0 {p : Wgt B} : lsupp p unif := fun i _ => by rw [unif_apply]; positivity
63
+ have hv : IsLaw (mapW unif f) := mapW_law unif_law f
64
+ exact avg_nonneg h.law.nz (fun i => tension_nonneg (mapW_law (h.labs i) f) hv
65
+ (lsupp.map h0 unif_law.nz f))
66
+
67
+ set_option maxHeartbeats 800000 in
68
+ theorem budget_progress [Nonempty B] (h : Ultra μ p) (w : Wgt B)
69
+ (hw : catalog μ p w) (f : B→C) (g : C→D) :
70
+ varOne (mapW w f) (mapW (bucket unif (g∘f) w) f) ^ 2 ≤
71
+ (budget μ p f-budget μ p (g∘f))*4 := by
72
+ classical
73
+ let q := mapW unif f
74
+ let Q (i : A) := mapW (p i) f
75
+ let R (i : A) := bucket q g (Q i)
76
+ have hu : IsLaw q := mapW_law unif_law f
77
+ have hQ (i) : IsLaw (Q i) := mapW_law (h.labs i) f
78
+ have he (i) : lsupp (Q i) q := lsupp.map
79
+ (p:=p i) (q:=unif) (fun i _ => by rw [unif_apply]; positivity) unif_law.nz f
80
+ have hp (i : A) :
81
+ varOne (Q i) (R i) ^ 2 ≤ tension (Q i) (R i) *4 :=
82
+ var_tension _ _ (hQ i) (bucket_law (hQ i) g hu.nz (he i))
83
+ (lsupp_bucket g (hQ i).nz hu.nz (he i))
84
+ have hn :
85
+ budget μ p f=avg μ (fun i => tension (Q i) (R i))+budget μ p (g∘f) := by
86
+ unfold budget
87
+ have hi := fun i : A => tension_stage (Q i) q (hQ i).nz hu.nz (he i) g
88
+ unfold Q q at hi
89
+ simp_rw [map_nested] at hi
90
+ rw [← avg_add]; exact avg_congr fun i _ => hi i
91
+ let Z (i : A) := varOne (Q i) (R i)
92
+ have hs : avg μ Z ^ 2 ≤ avg μ (fun i => Z i ^ 2) := by
93
+ have hh := avg_CS h.law.nz Z (fun _ => 1)
94
+ simp only [mul_one,one_pow,h.law.avg_const] at hh; exact hh
95
+ obtain ⟨s,hs',ht,rfl⟩ := hw
96
+ rw [bucket_m,map_mix]
97
+ have h' := (var_mix Q R hs').trans (avg_mono_left (fun i => var_nonneg ..) ht)
98
+ refine (pow_le_pow_left₀ (var_nonneg ..) h' 2).trans (hs.trans ?_)
99
+ have hz := avg_mono h.law.nz hp; rw [avg_mul] at hz
100
+ rw [hn]; exact hz.trans_eq (by ring)
101
+ end HadwigerCounterexample
102
+
103
+ end
104
+
105
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ReindexedFourierSupport.lean CHANGED
@@ -1,73 +1,73 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.TesterFourierSupport
2
-
3
- namespace OAI
4
-
5
- /-! # Reindexed Fourier Support -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix Module LinearMap Submodule Function
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
-
13
- namespace Move
14
- variable (c : Flit n) {j k : Vec (Fin n)}
15
- def jumpV : Vec (Fin n) ≃ Vec (Fin n) where
16
- toFun := c.L.mulVec
17
- invFun := c.R.mulVec
18
- left_inv x := by change c.R*ᵥ(c.L *ᵥ x) = x; rw [mulVec_mulVec,c.RL,Matrix.one_mulVec]
19
- right_inv x := by change c.L*ᵥ(c.R *ᵥ x) = x; rw [mulVec_mulVec,c.LR,Matrix.one_mulVec]
20
- def zreroute (p : Shape) (c : Flit n) (f : Wgt (Knobs p.g n)) :=
21
- fun y => f ((vault p c).symm y)
22
-
23
- theorem zhat_jump (p : Shape) (c : Flit n) (f : Wgt (Knobs p.g n)) (y : Knobs p.g n)
24
- (x : Vec (Fin n)) :
25
- zhat p (zreroute p c f) y (c.dual.jumpV x)=zhat p f y x := by
26
- classical
27
- unfold zhat
28
- rw [← avg_bij c.jumpV]
29
- have he (z : Vec (Fin n)) : unif (c.jumpV z)=unif z := rfl
30
- have hh (z) :
31
- vectorPhase (c.dual.jumpV x) (c.jumpV z)= vectorPhase x z := by
32
- unfold vectorPhase
33
- change wsign (dotProduct (c.Rᵀ *ᵥ x) (c.L *ᵥ z))=_
34
- rw [dotProduct_comm, dotProduct_transpose_mulVec,mulVec_mulVec,c.RL, Matrix.one_mulVec]
35
- have ht (z) :
36
- zreroute p c f (update y Block.Z (c.jumpV z))=f (update y Block.Z z) := by
37
- unfold zreroute vault; simp only [doZ,Equiv.coe_fn_symm_mk,update_self]
38
- change f (update (update y Block.Z _) _ (c.jumpV.symm (c.jumpV z)))=_
39
- rw [Equiv.symm_apply_apply]; simp
40
- simp_rw [he,hh,ht]
41
-
42
- theorem jump_in (c : Flit n) (S : Space (Vec (Fin n))) {z} (h : z ∈ S) :
43
- c.dual.jumpV z∈c.plume S := by
44
- rw [←colSp_pack S] at h
45
- obtain ⟨u,h⟩ := h
46
- refine ⟨u,?_⟩
47
- change (c.Rᵀ*pack S)*ᵥu=c.dual.jumpV z
48
- rw [← mulVec_mulVec,show pack S *ᵥ u=z from h]
49
- rfl
50
- end Move
51
-
52
- namespace Template
53
- variable (v : Solo p)
54
-
55
- def rotor (v : Solo p) (c : Flit n) (m : Mixer p n) (x : Profile p n) :=
56
- Move.zreroute p c (v.shanty m x)
57
- theorem rotor_budget (v : Solo p) (c : Flit n) (m : Mixer p n) (x : Profile p n)
58
- (K s : ℕ) (hg : Odd p.g) (hm : unaryGood m K s) (hK : totalRank x≤K) (hx : 0<totalRank x)
59
- (u : Knobs p.g n) (i : Vec (Fin n)) :
60
- |zchar p (v.rotor c m x) i u|≤bp (-((p.J-s:ℕ):ℝ)) ∧
61
- (i ∉ c.plume (v.scroll m x) → zchar p (v.rotor c m x) i u=0) := by
62
- classical
63
- obtain ⟨i,rfl⟩ := c.dual.jumpV.surjective i
64
- unfold zchar rotor
65
- rw [Move.zhat_jump,abs_mul,vectorPhase,wsign_abs,mul_one]
66
- exact ⟨shanty_cap v m x K s hg hm hK hx u i,fun h =>
67
- mul_eq_zero_of_left (shanty_outer v m x u hg i (fun he => h (Move.jump_in c _ he))) _⟩
68
- end Template
69
- end HadwigerCounterexample
70
-
71
- end
72
-
73
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.TesterFourierSupport
2
+
3
+ namespace OAI
4
+
5
+ /-! # Reindexed Fourier Support -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix Module LinearMap Submodule Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
+
13
+ namespace Move
14
+ variable (c : Flit n) {j k : Vec (Fin n)}
15
+ def jumpV : Vec (Fin n) ≃ Vec (Fin n) where
16
+ toFun := c.L.mulVec
17
+ invFun := c.R.mulVec
18
+ left_inv x := by change c.R*ᵥ(c.L *ᵥ x) = x; rw [mulVec_mulVec,c.RL,Matrix.one_mulVec]
19
+ right_inv x := by change c.L*ᵥ(c.R *ᵥ x) = x; rw [mulVec_mulVec,c.LR,Matrix.one_mulVec]
20
+ def zreroute (p : Shape) (c : Flit n) (f : Wgt (Knobs p.g n)) :=
21
+ fun y => f ((vault p c).symm y)
22
+
23
+ theorem zhat_jump (p : Shape) (c : Flit n) (f : Wgt (Knobs p.g n)) (y : Knobs p.g n)
24
+ (x : Vec (Fin n)) :
25
+ zhat p (zreroute p c f) y (c.dual.jumpV x)=zhat p f y x := by
26
+ classical
27
+ unfold zhat
28
+ rw [← avg_bij c.jumpV]
29
+ have he (z : Vec (Fin n)) : unif (c.jumpV z)=unif z := rfl
30
+ have hh (z) :
31
+ vectorPhase (c.dual.jumpV x) (c.jumpV z)= vectorPhase x z := by
32
+ unfold vectorPhase
33
+ change wsign (dotProduct (c.Rᵀ *ᵥ x) (c.L *ᵥ z))=_
34
+ rw [dotProduct_comm, dotProduct_transpose_mulVec,mulVec_mulVec,c.RL, Matrix.one_mulVec]
35
+ have ht (z) :
36
+ zreroute p c f (update y Block.Z (c.jumpV z))=f (update y Block.Z z) := by
37
+ unfold zreroute vault; simp only [doZ,Equiv.coe_fn_symm_mk,update_self]
38
+ change f (update (update y Block.Z _) _ (c.jumpV.symm (c.jumpV z)))=_
39
+ rw [Equiv.symm_apply_apply]; simp
40
+ simp_rw [he,hh,ht]
41
+
42
+ theorem jump_in (c : Flit n) (S : Space (Vec (Fin n))) {z} (h : z ∈ S) :
43
+ c.dual.jumpV z∈c.plume S := by
44
+ rw [←colSp_pack S] at h
45
+ obtain ⟨u,h⟩ := h
46
+ refine ⟨u,?_⟩
47
+ change (c.Rᵀ*pack S)*ᵥu=c.dual.jumpV z
48
+ rw [← mulVec_mulVec,show pack S *ᵥ u=z from h]
49
+ rfl
50
+ end Move
51
+
52
+ namespace Template
53
+ variable (v : Solo p)
54
+
55
+ def rotor (v : Solo p) (c : Flit n) (m : Mixer p n) (x : Profile p n) :=
56
+ Move.zreroute p c (v.shanty m x)
57
+ theorem rotor_budget (v : Solo p) (c : Flit n) (m : Mixer p n) (x : Profile p n)
58
+ (K s : ℕ) (hg : Odd p.g) (hm : unaryGood m K s) (hK : totalRank x≤K) (hx : 0<totalRank x)
59
+ (u : Knobs p.g n) (i : Vec (Fin n)) :
60
+ |zchar p (v.rotor c m x) i u|≤bp (-((p.J-s:ℕ):ℝ)) ∧
61
+ (i ∉ c.plume (v.scroll m x) → zchar p (v.rotor c m x) i u=0) := by
62
+ classical
63
+ obtain ⟨i,rfl⟩ := c.dual.jumpV.surjective i
64
+ unfold zchar rotor
65
+ rw [Move.zhat_jump,abs_mul,vectorPhase,wsign_abs,mul_one]
66
+ exact ⟨shanty_cap v m x K s hg hm hK hx u i,fun h =>
67
+ mul_eq_zero_of_left (shanty_outer v m x u hg i (fun he => h (Move.jump_in c _ he))) _⟩
68
+ end Template
69
+ end HadwigerCounterexample
70
+
71
+ end
72
+
73
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RelationMismatchBounds.lean CHANGED
@@ -1,129 +1,129 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteDualSystems
2
-
3
- namespace OAI
4
-
5
- /-! # Relation Mismatch Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Matrix Finset Function Submodule LinearMap
10
- open scoped BigOperators Topology
11
- open Template
12
- variable {p:Shape} {N n r K : ℕ}
13
- namespace StatusAnalysis
14
- namespace DualAnalysis
15
- open Club Guild
16
- variable {d e : Rates}
17
- {u:Terrain p r} {s:Gazette p r d} {t:Gazette p r e}
18
- {β η δ:ℝ}
19
-
20
- def seeking (p : Shape) (A : Stalls p) :=
21
- ∀ i, (A i).card+902 < Fintype.card (Label p.b)
22
- theorem any_label (A : Finset (Label p.b)) (h : A.card<Fintype.card (Label p.b)) :
23
- ∃ x,x∉A := by
24
- by_contra! hh
25
- have hf := card_le_card (show univ ⊆ A from fun _ _=>hh _)
26
- rw [card_univ] at hf; exact h.not_ge hf
27
-
28
- theorem generic_apt (p:Shape) (hg:3≤p.g) (x:Appearance p) (hx:x.f=Flavor.full) :
29
- x.apt := by obtain ⟨s,h1,h2,h3⟩:=generic_summary p hg x.l x.q 0; exact ⟨s,hx ▸ h1,h2⟩
30
-
31
- set_option maxHeartbeats 900000 in
32
- theorem plenitude (h:origami p r u δ) (hs:reports p r u s β δ) (ht:reports p r u t β δ)
33
- (hg:3 ≤ p.g) (A B:Stalls p) (hk:seeking p A) (hl:seeking p B)
34
- (hβ:0<β) (hz:0<η) (hη : playbook p K*η<1/2*β^2)
35
- (hd:∀ i,d i≤K^2) (he:∀ i,e i≤K^2):
36
- Guild.rich (stellar u s t η A B) := by
37
- classical
38
- intro i S hu y
39
- have hh a (b:Finset (Label p.b)) (h : b.card+902<Fintype.card (Label p.b)):
40
- ∃ z,z∉b∧z∉S a := by
41
- obtain ⟨z,hz⟩:=any_label (b∪S a) ((card_union_le ..).trans_lt ((Nat.add_le_add_left
42
- (hu a) _).trans_lt h))
43
- exact ⟨z,fun ht=>hz (mem_union_left _ ht),fun ht=>hz (mem_union_right _ ht)⟩
44
- obtain ⟨v,h1,h2⟩:= hh true (A i.1) (hk _)
45
- obtain ⟨w,h3,h4⟩:= hh false (B i.2) (hl _)
46
- let x : Zodiac p:= ⟨⟨0,by omega⟩,y.1,fun i=>if i then v else w,fun _=>Flavor.full⟩
47
- have hh : x.common:= fun i=> generic_apt p hg _ rfl
48
- obtain ⟨W,hA,hB,hC⟩:= sturdy_contact u s t h hs ht hβ x hh (fun _=>rfl) i y.2.1 y.2.2 hz
49
- ((mul_le_mul_of_nonneg_right (booklet_cap p K _ _ (hd _) (he _)) hz.le).trans_lt hη)
50
- refine ⟨(x,W),⟨⟨h1,h3,hA⟩,fun i=>?_⟩,?_⟩
51
- · cases i; exact h4; exact h2
52
- exact Prod.ext rfl (Prod.ext hB hC)
53
-
54
- structure RhymeSet (d : ℕ) where
55
- bit : F
56
- coal : Cell d
57
- headBit : F
58
- gamma : F
59
-
60
- def RhymeSet.read {k : ℕ} (s:RhymeSet k) (q:F) (x: Whole k) :=
61
- s.bit*x.2+ dotProduct s.coal x.1.2+ (s.bit+s.headBit)*x.1.1+s.gamma*q
62
-
63
- def RhymeSet.soot {k : ℕ} (s:RhymeSet k) {p:Shape} (x:Appearance p) (y:Magazine p k) :=
64
- s.read x.q y.2
65
-
66
- def leftChime (q:DualCoefficients d e) (i:Grid) : RhymeSet (d i.1) :=
67
- ⟨q.left i.2,q.north i,q.hed i,0⟩
68
- def rightChime (q:DualCoefficients d e) (i:Grid) : RhymeSet (e i.2) :=
69
- ⟨q.right i.1,q.south i,q.hed i,q.gam i⟩
70
- set_option maxHeartbeats 900000 in
71
- theorem dual_eq (q:DualCoefficients d e) (V : StatusSp d e) (hq:q.law V)
72
- (i:Grid) (x:Suite d e i) (hx:x∈V i) :
73
- (leftChime q i).read x.1 x.2.1=(rightChime q i).read x.1 x.2.2 := by
74
- classical
75
- specialize hq i x hx
76
- rcases x with ⟨a,⟨⟨b,u⟩,s⟩,⟨c,v⟩,t⟩
77
- let f:= q.hed i; let W:= dotProduct (q.north i) u
78
- let Z:= dotProduct (q.south i) v
79
- let g:=q.left i.2; let h:=q.right i.1; let G:=q.gam i*a
80
- change G+f*(b+c)+(W+Z)=g*(b+s)+h*(c+t) at hq
81
- change g*s+W+(g+f)*b+0*_ = h*t+Z+(h+f)*c+G
82
- apply sub_eq_zero.mp
83
- rw [ZModModule.sub_eq_add]
84
- calc _
85
- _=(G+f*(b+c)+(W+Z))+(g*(b+s)+h*(c+t)):=by ring
86
- _=0:= by rw [hq,char_two]
87
-
88
- def charge (u:Terrain p r) (x: Zodiac p) (X:Gazette p r d) (Y:Gazette p r e)
89
- (i:Grid) (a:RhymeSet (d i.1)) (b:RhymeSet (e i.2)) :=
90
- pr (circlet u X Y x i) (fun y=>a.soot (x.aspect true) y.1≠ b.soot (x.aspect false) y.2)
91
-
92
- def outstraps (a:Stalls p) (s:Straps (Label p.b)) (b:Bool):Stalls p:=
93
- fun i=>a i∪s b
94
-
95
- set_option maxHeartbeats 900000 in
96
- theorem charge_counter (h:origami p r u δ) (hs:reports p r u s β δ) (ht:reports p r u t β δ)
97
- (A B:Stalls p) (S : Straps (Label p.b)) (q:DualCoefficients d e)
98
- (he:q.law (chapter (stellar u s t η A B) S)) (hη:0≤η)
99
- (x: Zodiac p) (i:Grid) (hx:x.common) (hk:x.s true∉outstraps A S true i.1)
100
- (hl:x.s false∉outstraps B S false i.2) :
101
- charge u x s t i (leftChime q i) (rightChime q i)≤ num (Touch p d e i)*η := by
102
- classical
103
- let W:=circlet u s t x i
104
- obtain ⟨hm,hn⟩:=circlet_state u s t h hs ht x hx i
105
- let P:=fun y : Touch p d e i=> (leftChime q i).soot (x.aspect true) y.1≠
106
- (rightChime q i).soot (x.aspect false) y.2
107
- have hh (y): W y*ind (P y)≤η := by
108
- by_cases hp : P y
109
- · rw [ind_one hp,mul_one]
110
- by_contra! hy
111
- let C:=stellar u s t η A B
112
- let v : Scriptum p d e i := (x,y)
113
- have heq : (x.aspect true).fitsink y.1∧ (x.aspect false).fitsink y.2 := not_not.mp
114
- (fun h=> (hη.trans_lt hy).ne' (hn y h))
115
- have ht : (C i).zone S v :=
116
- ⟨⟨fun h=>hk (mem_union_left _ h),fun h=>hl (mem_union_left _ h),hx,heq.1,heq.2,hy.le⟩,
117
- fun i=>by cases i; exact fun h=>hl (mem_union_right _ h); exact fun h=>hk (mem_union_right _ h)⟩
118
- exact hp (dual_eq q (chapter C S) he i ((C i).writes v) ((C i).band_write S ht))
119
- rw [ind_zero hp,mul_zero]; exact hη
120
- change pr W P≤ _
121
- exact (Finset.sum_le_sum fun i _=> hh i).trans_eq (by simp [num])
122
-
123
- end DualAnalysis
124
- end StatusAnalysis
125
- end HadwigerCounterexample
126
-
127
- end
128
-
129
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteDualSystems
2
+
3
+ namespace OAI
4
+
5
+ /-! # Relation Mismatch Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Matrix Finset Function Submodule LinearMap
10
+ open scoped BigOperators Topology
11
+ open Template
12
+ variable {p:Shape} {N n r K : ℕ}
13
+ namespace StatusAnalysis
14
+ namespace DualAnalysis
15
+ open Club Guild
16
+ variable {d e : Rates}
17
+ {u:Terrain p r} {s:Gazette p r d} {t:Gazette p r e}
18
+ {β η δ:ℝ}
19
+
20
+ def seeking (p : Shape) (A : Stalls p) :=
21
+ ∀ i, (A i).card+902 < Fintype.card (Label p.b)
22
+ theorem any_label (A : Finset (Label p.b)) (h : A.card<Fintype.card (Label p.b)) :
23
+ ∃ x,x∉A := by
24
+ by_contra! hh
25
+ have hf := card_le_card (show univ ⊆ A from fun _ _=>hh _)
26
+ rw [card_univ] at hf; exact h.not_ge hf
27
+
28
+ theorem generic_apt (p:Shape) (hg:3≤p.g) (x:Appearance p) (hx:x.f=Flavor.full) :
29
+ x.apt := by obtain ⟨s,h1,h2,h3⟩:=generic_summary p hg x.l x.q 0; exact ⟨s,hx ▸ h1,h2⟩
30
+
31
+ set_option maxHeartbeats 900000 in
32
+ theorem plenitude (h:origami p r u δ) (hs:reports p r u s β δ) (ht:reports p r u t β δ)
33
+ (hg:3 ≤ p.g) (A B:Stalls p) (hk:seeking p A) (hl:seeking p B)
34
+ (hβ:0<β) (hz:0<η) (hη : playbook p K*η<1/2*β^2)
35
+ (hd:∀ i,d i≤K^2) (he:∀ i,e i≤K^2):
36
+ Guild.rich (stellar u s t η A B) := by
37
+ classical
38
+ intro i S hu y
39
+ have hh a (b:Finset (Label p.b)) (h : b.card+902<Fintype.card (Label p.b)):
40
+ ∃ z,z∉b∧z∉S a := by
41
+ obtain ⟨z,hz⟩:=any_label (b∪S a) ((card_union_le ..).trans_lt ((Nat.add_le_add_left
42
+ (hu a) _).trans_lt h))
43
+ exact ⟨z,fun ht=>hz (mem_union_left _ ht),fun ht=>hz (mem_union_right _ ht)⟩
44
+ obtain ⟨v,h1,h2⟩:= hh true (A i.1) (hk _)
45
+ obtain ⟨w,h3,h4⟩:= hh false (B i.2) (hl _)
46
+ let x : Zodiac p:= ⟨⟨0,by omega⟩,y.1,fun i=>if i then v else w,fun _=>Flavor.full⟩
47
+ have hh : x.common:= fun i=> generic_apt p hg _ rfl
48
+ obtain ⟨W,hA,hB,hC⟩:= sturdy_contact u s t h hs ht hβ x hh (fun _=>rfl) i y.2.1 y.2.2 hz
49
+ ((mul_le_mul_of_nonneg_right (booklet_cap p K _ _ (hd _) (he _)) hz.le).trans_lt hη)
50
+ refine ⟨(x,W),⟨⟨h1,h3,hA⟩,fun i=>?_⟩,?_⟩
51
+ · cases i; exact h4; exact h2
52
+ exact Prod.ext rfl (Prod.ext hB hC)
53
+
54
+ structure RhymeSet (d : ℕ) where
55
+ bit : F
56
+ coal : Cell d
57
+ headBit : F
58
+ gamma : F
59
+
60
+ def RhymeSet.read {k : ℕ} (s:RhymeSet k) (q:F) (x: Whole k) :=
61
+ s.bit*x.2+ dotProduct s.coal x.1.2+ (s.bit+s.headBit)*x.1.1+s.gamma*q
62
+
63
+ def RhymeSet.soot {k : ℕ} (s:RhymeSet k) {p:Shape} (x:Appearance p) (y:Magazine p k) :=
64
+ s.read x.q y.2
65
+
66
+ def leftChime (q:DualCoefficients d e) (i:Grid) : RhymeSet (d i.1) :=
67
+ ⟨q.left i.2,q.north i,q.hed i,0⟩
68
+ def rightChime (q:DualCoefficients d e) (i:Grid) : RhymeSet (e i.2) :=
69
+ ⟨q.right i.1,q.south i,q.hed i,q.gam i⟩
70
+ set_option maxHeartbeats 900000 in
71
+ theorem dual_eq (q:DualCoefficients d e) (V : StatusSp d e) (hq:q.law V)
72
+ (i:Grid) (x:Suite d e i) (hx:x∈V i) :
73
+ (leftChime q i).read x.1 x.2.1=(rightChime q i).read x.1 x.2.2 := by
74
+ classical
75
+ specialize hq i x hx
76
+ rcases x with ⟨a,⟨⟨b,u⟩,s⟩,⟨c,v⟩,t⟩
77
+ let f:= q.hed i; let W:= dotProduct (q.north i) u
78
+ let Z:= dotProduct (q.south i) v
79
+ let g:=q.left i.2; let h:=q.right i.1; let G:=q.gam i*a
80
+ change G+f*(b+c)+(W+Z)=g*(b+s)+h*(c+t) at hq
81
+ change g*s+W+(g+f)*b+0*_ = h*t+Z+(h+f)*c+G
82
+ apply sub_eq_zero.mp
83
+ rw [ZModModule.sub_eq_add]
84
+ calc _
85
+ _=(G+f*(b+c)+(W+Z))+(g*(b+s)+h*(c+t)):=by ring
86
+ _=0:= by rw [hq,char_two]
87
+
88
+ def charge (u:Terrain p r) (x: Zodiac p) (X:Gazette p r d) (Y:Gazette p r e)
89
+ (i:Grid) (a:RhymeSet (d i.1)) (b:RhymeSet (e i.2)) :=
90
+ pr (circlet u X Y x i) (fun y=>a.soot (x.aspect true) y.1≠ b.soot (x.aspect false) y.2)
91
+
92
+ def outstraps (a:Stalls p) (s:Straps (Label p.b)) (b:Bool):Stalls p:=
93
+ fun i=>a i∪s b
94
+
95
+ set_option maxHeartbeats 900000 in
96
+ theorem charge_counter (h:origami p r u δ) (hs:reports p r u s β δ) (ht:reports p r u t β δ)
97
+ (A B:Stalls p) (S : Straps (Label p.b)) (q:DualCoefficients d e)
98
+ (he:q.law (chapter (stellar u s t η A B) S)) (hη:0≤η)
99
+ (x: Zodiac p) (i:Grid) (hx:x.common) (hk:x.s true∉outstraps A S true i.1)
100
+ (hl:x.s false∉outstraps B S false i.2) :
101
+ charge u x s t i (leftChime q i) (rightChime q i)≤ num (Touch p d e i)*η := by
102
+ classical
103
+ let W:=circlet u s t x i
104
+ obtain ⟨hm,hn⟩:=circlet_state u s t h hs ht x hx i
105
+ let P:=fun y : Touch p d e i=> (leftChime q i).soot (x.aspect true) y.1≠
106
+ (rightChime q i).soot (x.aspect false) y.2
107
+ have hh (y): W y*ind (P y)≤η := by
108
+ by_cases hp : P y
109
+ · rw [ind_one hp,mul_one]
110
+ by_contra! hy
111
+ let C:=stellar u s t η A B
112
+ let v : Scriptum p d e i := (x,y)
113
+ have heq : (x.aspect true).fitsink y.1∧ (x.aspect false).fitsink y.2 := not_not.mp
114
+ (fun h=> (hη.trans_lt hy).ne' (hn y h))
115
+ have ht : (C i).zone S v :=
116
+ ⟨⟨fun h=>hk (mem_union_left _ h),fun h=>hl (mem_union_left _ h),hx,heq.1,heq.2,hy.le⟩,
117
+ fun i=>by cases i; exact fun h=>hl (mem_union_right _ h); exact fun h=>hk (mem_union_right _ h)⟩
118
+ exact hp (dual_eq q (chapter C S) he i ((C i).writes v) ((C i).band_write S ht))
119
+ rw [ind_zero hp,mul_zero]; exact hη
120
+ change pr W P≤ _
121
+ exact (Finset.sum_le_sum fun i _=> hh i).trans_eq (by simp [num])
122
+
123
+ end DualAnalysis
124
+ end StatusAnalysis
125
+ end HadwigerCounterexample
126
+
127
+ end
128
+
129
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RelativeEntropy.lean CHANGED
@@ -1,108 +1,108 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FiniteEntropy
2
- import OAI.Combinatorics.HadwigerCounterexample.WalshBounds
3
-
4
- namespace OAI
5
-
6
- /-! # Relative Entropy -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Finset Real
11
- open scoped BigOperators
12
- variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
13
-
14
- def lsupp (p q : Wgt A) := ∀ x,p x ≠ 0 → q x≠0
15
-
16
- def tension (p q : Wgt A) := avg p (fun x => log (p x)-log (q x))
17
- def varOne (p q : Wgt A) := ∑ x, |p x-q x|
18
-
19
- theorem tension_of_ratio {p q : Wgt A} (h : lsupp p q) :
20
- tension p q=avg p (fun x => log (p x/q x)) :=
21
- avg_congr (fun i hi => (Real.log_div hi (h i hi)).symm)
22
-
23
- theorem tension_as_diff (p q : Wgt A) :
24
- tension p q= negEnt p-avg p (fun x => log (q x)) := avg_sub p _ _
25
-
26
- theorem tension_mix {μ : Wgt A} {f : A→Wgt B} (q : Wgt B) :
27
- avg μ (fun x => tension (f x) q) =
28
- avg μ (fun x => tension (f x) (mixW μ f))+tension (mixW μ f) q := by
29
- let u := mixW μ f
30
- have h (x : A) : tension (f x) q=tension (f x) u+
31
- avg (f x) (fun i => log (u i)-log (q i)) := by
32
- simp only [tension_as_diff,avg_sub]
33
- ring
34
- simp_rw [h,avg_add,← mixW_avg]; rfl
35
-
36
- theorem tension_le_cap {p q : Wgt A} (hp : ∀ i,0 ≤ p i) (hq : ∀ i,0 ≤ q i)
37
- (C : ℝ) (hc : 0<C) (h : ∀ i,p i≤ C*q i) :
38
- tension p q≤tot p*log C := by
39
- rw [←avg_const]
40
- unfold tension avg
41
- refine sum_le_sum fun i _ => ?_
42
- rcases eq_or_lt_of_le (hp i) with h'|h'
43
- · rw [←h']; simp
44
- have hqi : q i ≠ 0 :=
45
- (pos_of_mul_pos_right (h'.trans_le (h i)) hc.le).ne'
46
- have hg : 0 < q i := lt_of_le_of_ne (hq i) (Ne.symm hqi)
47
- refine mul_le_mul_of_nonneg_left ?_ h'.le
48
- change log (p i) - log (q i) ≤ log C
49
- rw [← Real.log_div h'.ne' hg.ne']
50
- exact Real.log_le_log (by positivity) ((div_le_iff₀ hg).mpr (h i))
51
-
52
- private theorem tension_cell (a b : ℝ) (ha : 0≤a) (hb : 0 ≤ b) (h : a≠0→b≠0) :
53
- (√a-√b)^2 ≤ a*(log a - log b)+ b - a := by
54
- rcases eq_or_lt_of_le ha with h'|h'
55
- · rw [← h']; simp only [sqrt_zero,zero_sub,neg_sq,zero_mul,zero_add,sub_zero]; rw [sq_sqrt hb]
56
- have hb' := lt_of_le_of_ne hb (Ne.symm (h h'.ne'))
57
- have hc : 0<√a := by positivity
58
- have ht := Real.log_le_sub_one_of_pos (x:=√b/√a) (by positivity)
59
- rw [Real.log_div (by positivity) (by positivity), Real.log_sqrt hb,Real.log_sqrt ha] at ht
60
- have hh := mul_le_mul_of_nonneg_right ht ha
61
- have he : √b/√a*a = √b*√a := by
62
- field_simp; rw [sq_sqrt ha]
63
- rw [sub_mul,sub_mul,he] at hh
64
- nlinarith only [hh,sq_sqrt ha,sq_sqrt hb]
65
-
66
- set_option maxHeartbeats 600000 in
67
- theorem var_tension (p q : Wgt A) (hp : IsLaw p) (hq : IsLaw q) (h : lsupp p q) :
68
- varOne p q ^ 2 ≤ tension p q * 4 := by
69
- let a (i : A) := |√(p i)-√(q i)|
70
- let b (i : A) := √(p i)+√(q i)
71
- have ha : ∑ i, a i ^ 2 ≤ tension p q := by
72
- have ht (x : A) :
73
- a x ^2 ≤ p x * (log (p x)-log (q x))+q x-p x := by
74
- unfold a; rw [sq_abs]; exact tension_cell _ _ (hp.nz _) (hq.nz _) (h _)
75
- refine (sum_le_sum (fun i (_: i∈univ) => ht i)).trans_eq ?_
76
- simp only [Finset.sum_sub_distrib,Finset.sum_add_distrib]
77
- change _ +tot q-tot p=tension p q
78
- rw [hp.total,hq.total,add_sub_cancel_right]
79
- rfl
80
- have hb : ∑ i,b i^2 ≤ 4 := by
81
- have ht (x : A) :
82
- b x ^ 2 ≤ 2*p x+2*q x := by
83
- unfold b; nlinarith only [sq_sqrt (hp.nz x),sq_sqrt (hq.nz x),
84
- sq_nonneg (√(p x)-√(q x))]
85
- refine (sum_le_sum (fun i (_: i∈univ) => ht i)).trans_eq ?_
86
- simp only [Finset.sum_add_distrib,← Finset.mul_sum]
87
- change 2*tot p + 2*tot q = 4
88
- rw [hp.total,hq.total]
89
- norm_num
90
- have h0 : 0≤tension p q := le_trans (sum_nonneg (fun i _ => sq_nonneg _)) ha
91
- have he : varOne p q = ∑ i, a i * b i := by
92
- unfold varOne
93
- refine sum_congr rfl (fun i _ => ?_)
94
- have hy :
95
- (√(p i)-√(q i))*b i=p i-q i := by
96
- unfold b; nlinarith only [sq_sqrt (hp.nz i),sq_sqrt (hq.nz i)]
97
- rw [← hy,abs_mul,abs_of_nonneg (show 0≤b i from by unfold b; positivity)]
98
- rw [he]
99
- exact (Finset.sum_mul_sq_le_sq_mul_sq ..).trans
100
- (mul_le_mul ha hb (sum_nonneg (fun i _ => sq_nonneg _)) h0)
101
-
102
- theorem tension_nonneg {p q : Wgt A} (hp : IsLaw p) (hq : IsLaw q) (h : lsupp p q) :
103
- 0 ≤ tension p q := by nlinarith only [var_tension p q hp hq h,sq_nonneg (varOne p q)]
104
- end HadwigerCounterexample
105
-
106
- end
107
-
108
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FiniteEntropy
2
+ import OAI.Combinatorics.HadwigerCounterexample.WalshBounds
3
+
4
+ namespace OAI
5
+
6
+ /-! # Relative Entropy -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Finset Real
11
+ open scoped BigOperators
12
+ variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
13
+
14
+ def lsupp (p q : Wgt A) := ∀ x,p x ≠ 0 → q x≠0
15
+
16
+ def tension (p q : Wgt A) := avg p (fun x => log (p x)-log (q x))
17
+ def varOne (p q : Wgt A) := ∑ x, |p x-q x|
18
+
19
+ theorem tension_of_ratio {p q : Wgt A} (h : lsupp p q) :
20
+ tension p q=avg p (fun x => log (p x/q x)) :=
21
+ avg_congr (fun i hi => (Real.log_div hi (h i hi)).symm)
22
+
23
+ theorem tension_as_diff (p q : Wgt A) :
24
+ tension p q= negEnt p-avg p (fun x => log (q x)) := avg_sub p _ _
25
+
26
+ theorem tension_mix {μ : Wgt A} {f : A→Wgt B} (q : Wgt B) :
27
+ avg μ (fun x => tension (f x) q) =
28
+ avg μ (fun x => tension (f x) (mixW μ f))+tension (mixW μ f) q := by
29
+ let u := mixW μ f
30
+ have h (x : A) : tension (f x) q=tension (f x) u+
31
+ avg (f x) (fun i => log (u i)-log (q i)) := by
32
+ simp only [tension_as_diff,avg_sub]
33
+ ring
34
+ simp_rw [h,avg_add,← mixW_avg]; rfl
35
+
36
+ theorem tension_le_cap {p q : Wgt A} (hp : ∀ i,0 ≤ p i) (hq : ∀ i,0 ≤ q i)
37
+ (C : ℝ) (hc : 0<C) (h : ∀ i,p i≤ C*q i) :
38
+ tension p q≤tot p*log C := by
39
+ rw [←avg_const]
40
+ unfold tension avg
41
+ refine sum_le_sum fun i _ => ?_
42
+ rcases eq_or_lt_of_le (hp i) with h'|h'
43
+ · rw [←h']; simp
44
+ have hqi : q i ≠ 0 :=
45
+ (pos_of_mul_pos_right (h'.trans_le (h i)) hc.le).ne'
46
+ have hg : 0 < q i := lt_of_le_of_ne (hq i) (Ne.symm hqi)
47
+ refine mul_le_mul_of_nonneg_left ?_ h'.le
48
+ change log (p i) - log (q i) ≤ log C
49
+ rw [← Real.log_div h'.ne' hg.ne']
50
+ exact Real.log_le_log (by positivity) ((div_le_iff₀ hg).mpr (h i))
51
+
52
+ private theorem tension_cell (a b : ℝ) (ha : 0≤a) (hb : 0 ≤ b) (h : a≠0→b≠0) :
53
+ (√a-√b)^2 ≤ a*(log a - log b)+ b - a := by
54
+ rcases eq_or_lt_of_le ha with h'|h'
55
+ · rw [← h']; simp only [sqrt_zero,zero_sub,neg_sq,zero_mul,zero_add,sub_zero]; rw [sq_sqrt hb]
56
+ have hb' := lt_of_le_of_ne hb (Ne.symm (h h'.ne'))
57
+ have hc : 0<√a := by positivity
58
+ have ht := Real.log_le_sub_one_of_pos (x:=√b/√a) (by positivity)
59
+ rw [Real.log_div (by positivity) (by positivity), Real.log_sqrt hb,Real.log_sqrt ha] at ht
60
+ have hh := mul_le_mul_of_nonneg_right ht ha
61
+ have he : √b/√a*a = √b*√a := by
62
+ field_simp; rw [sq_sqrt ha]
63
+ rw [sub_mul,sub_mul,he] at hh
64
+ nlinarith only [hh,sq_sqrt ha,sq_sqrt hb]
65
+
66
+ set_option maxHeartbeats 600000 in
67
+ theorem var_tension (p q : Wgt A) (hp : IsLaw p) (hq : IsLaw q) (h : lsupp p q) :
68
+ varOne p q ^ 2 ≤ tension p q * 4 := by
69
+ let a (i : A) := |√(p i)-√(q i)|
70
+ let b (i : A) := √(p i)+√(q i)
71
+ have ha : ∑ i, a i ^ 2 ≤ tension p q := by
72
+ have ht (x : A) :
73
+ a x ^2 ≤ p x * (log (p x)-log (q x))+q x-p x := by
74
+ unfold a; rw [sq_abs]; exact tension_cell _ _ (hp.nz _) (hq.nz _) (h _)
75
+ refine (sum_le_sum (fun i (_: i∈univ) => ht i)).trans_eq ?_
76
+ simp only [Finset.sum_sub_distrib,Finset.sum_add_distrib]
77
+ change _ +tot q-tot p=tension p q
78
+ rw [hp.total,hq.total,add_sub_cancel_right]
79
+ rfl
80
+ have hb : ∑ i,b i^2 ≤ 4 := by
81
+ have ht (x : A) :
82
+ b x ^ 2 ≤ 2*p x+2*q x := by
83
+ unfold b; nlinarith only [sq_sqrt (hp.nz x),sq_sqrt (hq.nz x),
84
+ sq_nonneg (√(p x)-√(q x))]
85
+ refine (sum_le_sum (fun i (_: i∈univ) => ht i)).trans_eq ?_
86
+ simp only [Finset.sum_add_distrib,← Finset.mul_sum]
87
+ change 2*tot p + 2*tot q = 4
88
+ rw [hp.total,hq.total]
89
+ norm_num
90
+ have h0 : 0≤tension p q := le_trans (sum_nonneg (fun i _ => sq_nonneg _)) ha
91
+ have he : varOne p q = ∑ i, a i * b i := by
92
+ unfold varOne
93
+ refine sum_congr rfl (fun i _ => ?_)
94
+ have hy :
95
+ (√(p i)-√(q i))*b i=p i-q i := by
96
+ unfold b; nlinarith only [sq_sqrt (hp.nz i),sq_sqrt (hq.nz i)]
97
+ rw [← hy,abs_mul,abs_of_nonneg (show 0≤b i from by unfold b; positivity)]
98
+ rw [he]
99
+ exact (Finset.sum_mul_sq_le_sq_mul_sq ..).trans
100
+ (mul_le_mul ha hb (sum_nonneg (fun i _ => sq_nonneg _)) h0)
101
+
102
+ theorem tension_nonneg {p q : Wgt A} (hp : IsLaw p) (hq : IsLaw q) (h : lsupp p q) :
103
+ 0 ≤ tension p q := by nlinarith only [var_tension p q hp hq h,sq_nonneg (varOne p q)]
104
+ end HadwigerCounterexample
105
+
106
+ end
107
+
108
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RelativeInjectionBounds.lean CHANGED
@@ -1,110 +1,110 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.TableInjectionTransfer
2
-
3
- namespace OAI
4
-
5
- /-! # Relative Injection Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
-
10
- open Matrix LinearMap Module Submodule Function Finset Filter
11
- open scoped BigOperators Topology
12
- variable {p : Shape} {n N : ℕ}
13
-
14
- def fringe (N : ℕ) := bp (-0.01*N)
15
- def shine (N : ℕ) := bp (0.01*N)
16
- def edgeError (N : ℕ) := bp (-0.005*N)
17
-
18
- private theorem fire_budget (K : ℕ) (p : Shape) {l D : ℝ}
19
- (hd : 0 ≤D) (hh : 2*K+l+200*(D+2 : ℝ) ≤ p.h) :
20
- ∀ᶠ N : ℕ in atTop,
21
- bp (D*N)*(fireBill p (N/100) K (shine N)/(pushCost (bp (-l)) K)^(N/100)) ≤ fringe N := by
22
- have he := (tendsto_natCast_atTop_atTop (R:=ℝ)).eventually
23
- (eventually_ge_atTop (1+p.h*(K:ℝ)))
24
- filter_upwards [he,eventually_ge_atTop 100] with N hN hk
25
- change (1+p.h*(K:ℝ))≤(N:ℝ) at hN
26
- let k := N/100
27
- have ht : N ≤ 200*k := by
28
- have h1 : 1 ≤ N/100 := (Nat.le_div_iff_mul_le (by omega)).mpr (by simpa using hk)
29
- have h := Nat.div_add_mod' N 100
30
- unfold k; omega
31
- have ht' : (N:ℝ)≤200*k := by exact_mod_cast ht
32
- have h1 : (D+2)*N≤ (p.h-(2*K+(l:ℝ)))*k := by
33
- have h := mul_le_mul_of_nonneg_left ht' (show 0≤D+2 by linarith)
34
- have h' := mul_le_mul_of_nonneg_right hh (Nat.cast_nonneg k : 0≤(k:ℝ))
35
- linarith only [h,h']
36
- change bp _*(fireBill p k K (shine N)/_ ^ k)≤_
37
- unfold fireBill pushCost shine fringe
38
- rw [←bp_sub, ← bp_mul_nat, ← bp_one,←bp_add,←bp_add,←bp_sub,←bp_add]
39
- apply bp_le
40
- linarith only [h1,hN,(Nat.cast_nonneg N : 0≤(N:ℝ))]
41
-
42
- set_option maxHeartbeats 1000000 in
43
- theorem guard_grid (g K : ℕ) (D ε : ℝ) (hd : 0≤D) (he : 0<ε) :
44
- ∀ᶠ h : ℕ in atTop,∀ p : Shape,p.g=g → p.h=h →
45
- ∀ᶠ M : ℕ in atTop,∀ᶠ n : ℕ in atTop,let N:=M*n;
46
- ∀ (P : UnitType p n N×UnitType p n N→Prop),
47
- named P (bp (D*N)) → named (P ∘ Prod.swap) (bp (D*N)) →
48
- ∀ w (b : Fpins p n N) (m : Mixer p n), (∀ x,planRank (b x)≤ K) →
49
- IsLaw w → bySide p w m (shine N) → (∀ x,w x≠0 → ∀ i,frameLaw m (onSide x i)) →
50
- pr (pairW w w) (fun x => P x ∧ ¬ secureAt p b x) ≤
51
- ε*pr (pairW w w) P+edgeError N := by
52
- let W := 8*num (Comp g×Bool)
53
- obtain ⟨k,hk⟩ : ∃ k : ℕ,W*(3*bp (-(k:ℝ)))≤ ε := by
54
- have hh : Tendsto (fun n : ℕ => W*(3*bp (-(n:ℝ)))) atTop (𝓝 0) := by
55
- have hi := ((bp_nat_vanish (by norm_num : 0<(1:ℝ))).const_mul 3).const_mul W
56
- simpa using hi
57
- obtain ⟨n,hn⟩ := (hh.eventually (gt_mem_nhds he)).exists
58
- exact ⟨n,hn.le⟩
59
- let l := bp (-(k:ℝ))
60
- filter_upwards [tendsto_natCast_atTop_atTop.eventually
61
- (eventually_ge_atTop (2*K+(k:ℝ)+200*(D+2)))] with h hH p hg hp
62
-
63
- have heq : (8*num (Place p):ℝ)*(3*l) ≤ ε := by
64
- change (8*num (Comp p.g×Bool):ℝ)*(3*l) ≤ _
65
- rwa [hg]
66
- have hFire : ∀ᶠ N : ℕ in atTop,
67
- bp (D*N)*(fireBill p (N/100) K (shine N)/(pushCost l K)^(N/100)) ≤ fringe N :=
68
- fire_budget K p hd (hp.symm ▸ hH)
69
- have hsmall : ∀ᶠ N : ℕ in atTop,
70
- 8*num (Place p)*(fringe N +fringe N)≤edgeError N := by
71
- filter_upwards [bp_poly_dom_nat (by norm_num : 0<(0.005:ℝ)) (8*num (Place p)*2) 0] with N hN
72
- unfold fringe edgeError
73
- rw [←two_mul,←mul_assoc]
74
- refine (mul_le_mul_of_nonneg_right (show _≤bp (0.005*N) from by simpa using hN.le)
75
- (bp_pos _).le).trans_eq ?_
76
- rw [←bp_add]; congr 1; ring
77
- filter_upwards [eventually_grid hFire,eventually_grid hsmall,
78
- columns_budget p (δ:=1) zero_lt_one 2 1 (by norm_num) zero_le_one,
79
- eventually_grid (tendsto_natCast_atTop_atTop.eventually
80
- (eventually_ge_atTop (10*((k:ℝ)+1))))] with M hM hT hS hY
81
- filter_upwards [hM,hT,eventually_ge_atTop 1,hY] with n hM hT hn hY
82
- dsimp only
83
- intro P hP hQ w b m hb hw hW hx
84
- let N := M*n
85
- have hN : 2*num (Full p n)+1≤N := (hS n hn).trans_eq (one_mul _)
86
- have hρ : rhUp (shine N) (2*fringe N)*2 * bp (num (Row p n)+(N/100:ℕ)-N)≤l := by
87
- change 10*((k:ℝ)+1) ≤ N at hY
88
- have hh : 100*((N/100:ℕ):ℝ)≤N := by exact_mod_cast (show 100*(N/100) ≤ N from Nat.mul_div_le _ _)
89
- unfold rhUp shine fringe
90
- rw [show 2*bp (-0.01*N)/2=bp (-0.01*N) from (by ring), ← bp_neg, ←bp_one,
91
- ←bp_add,←bp_add,←bp_add]
92
- apply bp_le
93
- linarith only [hY,hN,hh,row_le p n]
94
- have hl : 0<l:=bp_pos _
95
- have hX := secure_bound hP hQ (bp_pos _ : 0<fringe N) (bp_pos _).le hl w b K (N/100) hb
96
- hw m hW hx (by linarith only [hN]) hρ
97
- let V := pr (pairW w w) P
98
- have hv : 0≤V := pr_nonneg (pairW_law hw hw).nz
99
- have hi := mul_le_mul_of_nonneg_right heq hv
100
- refine hX.trans ?_
101
- change (8*num (Place p))*(3*l*V+_ + bp (D*N)* _)≤ε*V+_
102
- calc _ ≤ (8*num (Place p))*(3*l*V+fringe N + fringe N) :=
103
- mul_le_mul_of_nonneg_left (add_le_add (show 3*l*V+fringe N ≤ _ from le_rfl) (show _ ≤ fringe N from hM)) (by unfold num; positivity)
104
- _ ≤ _ := by linarith only [hi,hT]
105
-
106
- end HadwigerCounterexample
107
-
108
- end
109
-
110
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.TableInjectionTransfer
2
+
3
+ namespace OAI
4
+
5
+ /-! # Relative Injection Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+
10
+ open Matrix LinearMap Module Submodule Function Finset Filter
11
+ open scoped BigOperators Topology
12
+ variable {p : Shape} {n N : ℕ}
13
+
14
+ def fringe (N : ℕ) := bp (-0.01*N)
15
+ def shine (N : ℕ) := bp (0.01*N)
16
+ def edgeError (N : ℕ) := bp (-0.005*N)
17
+
18
+ private theorem fire_budget (K : ℕ) (p : Shape) {l D : ℝ}
19
+ (hd : 0 ≤D) (hh : 2*K+l+200*(D+2 : ℝ) ≤ p.h) :
20
+ ∀ᶠ N : ℕ in atTop,
21
+ bp (D*N)*(fireBill p (N/100) K (shine N)/(pushCost (bp (-l)) K)^(N/100)) ≤ fringe N := by
22
+ have he := (tendsto_natCast_atTop_atTop (R:=ℝ)).eventually
23
+ (eventually_ge_atTop (1+p.h*(K:ℝ)))
24
+ filter_upwards [he,eventually_ge_atTop 100] with N hN hk
25
+ change (1+p.h*(K:ℝ))≤(N:ℝ) at hN
26
+ let k := N/100
27
+ have ht : N ≤ 200*k := by
28
+ have h1 : 1 ≤ N/100 := (Nat.le_div_iff_mul_le (by omega)).mpr (by simpa using hk)
29
+ have h := Nat.div_add_mod' N 100
30
+ unfold k; omega
31
+ have ht' : (N:ℝ)≤200*k := by exact_mod_cast ht
32
+ have h1 : (D+2)*N≤ (p.h-(2*K+(l:ℝ)))*k := by
33
+ have h := mul_le_mul_of_nonneg_left ht' (show 0≤D+2 by linarith)
34
+ have h' := mul_le_mul_of_nonneg_right hh (Nat.cast_nonneg k : 0≤(k:ℝ))
35
+ linarith only [h,h']
36
+ change bp _*(fireBill p k K (shine N)/_ ^ k)≤_
37
+ unfold fireBill pushCost shine fringe
38
+ rw [←bp_sub, ← bp_mul_nat, ← bp_one,←bp_add,←bp_add,←bp_sub,←bp_add]
39
+ apply bp_le
40
+ linarith only [h1,hN,(Nat.cast_nonneg N : 0≤(N:ℝ))]
41
+
42
+ set_option maxHeartbeats 1000000 in
43
+ theorem guard_grid (g K : ℕ) (D ε : ℝ) (hd : 0≤D) (he : 0<ε) :
44
+ ∀ᶠ h : ℕ in atTop,∀ p : Shape,p.g=g → p.h=h →
45
+ ∀ᶠ M : ℕ in atTop,∀ᶠ n : ℕ in atTop,let N:=M*n;
46
+ ∀ (P : UnitType p n N×UnitType p n N→Prop),
47
+ named P (bp (D*N)) → named (P ∘ Prod.swap) (bp (D*N)) →
48
+ ∀ w (b : Fpins p n N) (m : Mixer p n), (∀ x,planRank (b x)≤ K) →
49
+ IsLaw w → bySide p w m (shine N) → (∀ x,w x≠0 → ∀ i,frameLaw m (onSide x i)) →
50
+ pr (pairW w w) (fun x => P x ∧ ¬ secureAt p b x) ≤
51
+ ε*pr (pairW w w) P+edgeError N := by
52
+ let W := 8*num (Comp g×Bool)
53
+ obtain ⟨k,hk⟩ : ∃ k : ℕ,W*(3*bp (-(k:ℝ)))≤ ε := by
54
+ have hh : Tendsto (fun n : ℕ => W*(3*bp (-(n:ℝ)))) atTop (𝓝 0) := by
55
+ have hi := ((bp_nat_vanish (by norm_num : 0<(1:ℝ))).const_mul 3).const_mul W
56
+ simpa using hi
57
+ obtain ⟨n,hn⟩ := (hh.eventually (gt_mem_nhds he)).exists
58
+ exact ⟨n,hn.le⟩
59
+ let l := bp (-(k:ℝ))
60
+ filter_upwards [tendsto_natCast_atTop_atTop.eventually
61
+ (eventually_ge_atTop (2*K+(k:ℝ)+200*(D+2)))] with h hH p hg hp
62
+
63
+ have heq : (8*num (Place p):ℝ)*(3*l) ≤ ε := by
64
+ change (8*num (Comp p.g×Bool):ℝ)*(3*l) ≤ _
65
+ rwa [hg]
66
+ have hFire : ∀ᶠ N : ℕ in atTop,
67
+ bp (D*N)*(fireBill p (N/100) K (shine N)/(pushCost l K)^(N/100)) ≤ fringe N :=
68
+ fire_budget K p hd (hp.symm ▸ hH)
69
+ have hsmall : ∀ᶠ N : ℕ in atTop,
70
+ 8*num (Place p)*(fringe N +fringe N)≤edgeError N := by
71
+ filter_upwards [bp_poly_dom_nat (by norm_num : 0<(0.005:ℝ)) (8*num (Place p)*2) 0] with N hN
72
+ unfold fringe edgeError
73
+ rw [←two_mul,←mul_assoc]
74
+ refine (mul_le_mul_of_nonneg_right (show _≤bp (0.005*N) from by simpa using hN.le)
75
+ (bp_pos _).le).trans_eq ?_
76
+ rw [←bp_add]; congr 1; ring
77
+ filter_upwards [eventually_grid hFire,eventually_grid hsmall,
78
+ columns_budget p (δ:=1) zero_lt_one 2 1 (by norm_num) zero_le_one,
79
+ eventually_grid (tendsto_natCast_atTop_atTop.eventually
80
+ (eventually_ge_atTop (10*((k:ℝ)+1))))] with M hM hT hS hY
81
+ filter_upwards [hM,hT,eventually_ge_atTop 1,hY] with n hM hT hn hY
82
+ dsimp only
83
+ intro P hP hQ w b m hb hw hW hx
84
+ let N := M*n
85
+ have hN : 2*num (Full p n)+1≤N := (hS n hn).trans_eq (one_mul _)
86
+ have hρ : rhUp (shine N) (2*fringe N)*2 * bp (num (Row p n)+(N/100:ℕ)-N)≤l := by
87
+ change 10*((k:ℝ)+1) ≤ N at hY
88
+ have hh : 100*((N/100:ℕ):ℝ)≤N := by exact_mod_cast (show 100*(N/100) ≤ N from Nat.mul_div_le _ _)
89
+ unfold rhUp shine fringe
90
+ rw [show 2*bp (-0.01*N)/2=bp (-0.01*N) from (by ring), ← bp_neg, ←bp_one,
91
+ ←bp_add,←bp_add,←bp_add]
92
+ apply bp_le
93
+ linarith only [hY,hN,hh,row_le p n]
94
+ have hl : 0<l:=bp_pos _
95
+ have hX := secure_bound hP hQ (bp_pos _ : 0<fringe N) (bp_pos _).le hl w b K (N/100) hb
96
+ hw m hW hx (by linarith only [hN]) hρ
97
+ let V := pr (pairW w w) P
98
+ have hv : 0≤V := pr_nonneg (pairW_law hw hw).nz
99
+ have hi := mul_le_mul_of_nonneg_right heq hv
100
+ refine hX.trans ?_
101
+ change (8*num (Place p))*(3*l*V+_ + bp (D*N)* _)≤ε*V+_
102
+ calc _ ≤ (8*num (Place p))*(3*l*V+fringe N + fringe N) :=
103
+ mul_le_mul_of_nonneg_left (add_le_add (show 3*l*V+fringe N ≤ _ from le_rfl) (show _ ≤ fringe N from hM)) (by unfold num; positivity)
104
+ _ ≤ _ := by linarith only [hi,hT]
105
+
106
+ end HadwigerCounterexample
107
+
108
+ end
109
+
110
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedBatchLaws.lean CHANGED
@@ -1,131 +1,131 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ConditionedBatchLaws
2
-
3
- namespace OAI
4
-
5
- /-! # Repeated Batch Laws -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Submodule Finset Function
10
- open scoped BigOperators
11
- variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G] [DecidableEq I]
12
- variable [DecidableEq J] [DecidableEq G] {p : Shape} {n N : ℕ}
13
-
14
- def tied (f : Route I G) (J : Type) : Route (J×I) G := f ∘ Prod.snd
15
- variable {f : Route I G}
16
-
17
- def pooled (A : J → NomQuery p n f) : NomQuery p n (tied f J) :=
18
- fun g => Matrix.of (fun i j => A j.val.1 g i (⟨j.val.2,j.property⟩))
19
-
20
- omit [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J] [DecidableEq G] in
21
- theorem peek_pooled (A B : J→NomQuery p n f) (x : Forum p n N G) (i : J) :
22
- led i (peekR p (tied f J) (pooled A) (pooled B) x)=peekR p f (A i) (B i) x := by
23
- apply Prod.ext <;> ext <;> rfl
24
-
25
- omit [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J] [DecidableEq G] in
26
- theorem lane_pooled (A B : J→NomQuery p n f) (m : Mixer p n) (i : J) :
27
- laneM (database m (pooled A) (pooled B)) i=database m (A i) (B i) := by
28
- funext z; ext x y; rfl
29
-
30
- omit [Fintype G] in
31
- theorem pool_injective {A : J → NomQuery p n f} (h : ∀ i, Injective (pooled A i).mulVec) :
32
- ∀ z i,Injective (A z i).mulVec := by
33
- classical
34
- intro z i
35
- let e := condLane (tied f J) z i
36
- have he : Injective e := by
37
- intro a b h; exact Subtype.ext (congrArg (fun x : Port (tied f J) i => x.val.2) h)
38
- have ho : A z i=pooled A i*embedMat e := by rw [mul_embedMat]; rfl
39
- rw [ho]; exact inj_comp_mat _ _ (h i) (embedMat_inj he)
40
-
41
- theorem poUse (A B : J→NomQuery p n f) (m : Mixer p n)
42
- (hN : 2*num (Full p n)<N)
43
- (ha : ∀ i,Injective (pooled A i).mulVec) (hb : ∀ i, Injective (pooled B i).mulVec)
44
- (F : Wgt (Rack (J×I) N)) :
45
- avg (forumLaw m N) (fun x => F (peekR p (tied f J) (pooled A) (pooled B) x))=
46
- avg (rackStation (database m (pooled A) (pooled B)) N) F := by
47
- rw [← mapW_avg,law_peekR m hN ha hb]
48
-
49
- set_option maxHeartbeats 800000 in
50
- theorem pooled_batch (A B : J → NomQuery p n f) (m : Mixer p n)
51
- (hN : 2*num (Full p n)<N)
52
- (k : ℝ) (hk : ∀ i,num (Port (tied f J) i)≤k)
53
- (hL : 2*k-N≤-1)
54
- (ha : ∀ i, Injective (pooled A i).mulVec)
55
- (hb : ∀ i, Injective (pooled B i).mulVec)
56
- (F : J→ Wgt (Rack I N)) (hf : ∀ i x,|F i x|≤1) :
57
- let w := forumLaw (G:=G) m N
58
- |avg w (fun x => ∏ i, F i (peekR p f (A i) (B i) x)) -
59
- ∏ i, avg w (fun x => F i (peekR p f (A i) (B i) x))|≤
60
- 2*netFact (tied f J)*twinkle (tied f J) k N := by
61
- classical
62
- let w := forumLaw m N (G:=G)
63
- let Z := database m (pooled A) (pooled B)
64
- have he i :
65
- avg w (fun x => F i (peekR p f (A i) (B i) x))=
66
- avg (rackStation (database m (A i) (B i)) N) (F i) := by
67
- unfold w; rw [←mapW_avg,law_peekR m hN (pool_injective ha i) (pool_injective hb i)]
68
- have hx :
69
- avg w (fun x => ∏ i, F i (peekR p f (A i) (B i) x)) =
70
- avg (rackStation Z N) (brightProd F) := by
71
- rw [show avg (rackStation Z N) _ =_ from (poUse A B m hN ha hb (brightProd F)).symm]
72
- refine avg_congr fun x _ => ?_
73
- simp_rw [brightProd, peek_pooled]
74
- dsimp only
75
- change |avg w _ - ∏ i, avg w _| ≤ _
76
- simp_rw [he]; rw [hx]
77
- have hi := compare_lanes Z F hf k hk (fun i => by linarith only [hk i,hL])
78
- simp_rw [Z,lane_pooled] at *
79
- exact hi
80
-
81
- set_option maxHeartbeats 600000 in
82
- theorem pool_upper (A B : J → NomQuery p n f) (m : Mixer p n)
83
- (hN : 2*num (Full p n)<N)
84
- (ha : ∀ i, Injective (pooled A i).mulVec)
85
- (hb : ∀ i, Injective (pooled B i).mulVec)
86
- (hL : ∀ i,2*num (Port (tied f J) i)-N ≤ -1) (P : J→Rack I N → Prop) :
87
- let w := forumLaw (G:=G) m N
88
- pr w (fun x => ∀ i,P i (peekR p f (A i) (B i) x))≤
89
- netFact (tied f J)* ∏ i, pr w (fun x => P i (peekR p f (A i) (B i) x)) := by
90
- classical
91
- let w := forumLaw (G:=G) m N
92
- let S := database m (pooled A) (pooled B)
93
- let q (x : Rack (J×I) N) := ∀ i,P i (led i x)
94
- have h1 i :
95
- pr w (fun x => P i (peekR p f (A i) (B i) x)) =
96
- pr (rackStation (database m (A i) (B i)) N) (P i) := by
97
- unfold w; rw [←mapW_pr,law_peekR m hN (pool_injective ha i) (pool_injective hb i)]
98
- have ht :
99
- pr w (fun x => ∀ i,P i (peekR p f (A i) (B i) x)) =
100
- pr (rackStation S N) q := by
101
- rw [show pr (rackStation S N) q= _ from
102
- (poUse A B m hN ha hb (fun x => ind (q x))).symm]
103
- refine avg_congr fun x _ => ?_
104
- simp_rw [q,peek_pooled]
105
- let M := netFact (tied f J)
106
- let g (i : J) := bothPart (laneM S i) (N:=N)
107
- have hg x (hh : bothPart S x ∧ q x) :
108
- ∀ i,g i (led i x)∧ P i (led i x) := fun i => ⟨laneGram S _ hh.1 _,hh.2 i⟩
109
- change pr w _ ≤ _
110
- rw [ht, rackStation,← on_unif,pr_on]
111
- have hx : pr unif (fun x : Rack (J×I) N => ∀ i,g i (led i x)∧ P i (led i x)) =
112
- ∏ i,pr unif (fun x => g i x∧P i x) := by
113
- change avg unif _=_
114
- simp_rw [ind_all]
115
- exact led_piece Finset.univ (fun i x => g i x∧P i x)
116
- have hh0 := net_norm S N hL
117
- refine (div_le_div₀ (pr_nonneg unif_law.nz)
118
- (pr_mono unif_law.nz hg) (inv_pos_of_pos netFact_pos) hh0.1).trans ?_
119
- rw [hx,div_eq_mul_inv,inv_inv,mul_comm]
120
- apply mul_le_mul_of_nonneg_left _ netFact_pos.le
121
- refine Finset.prod_le_prod₀ (fun i _ => pr_nonneg unif_law.nz) (fun i _ => ?_)
122
- rw [pr_of_on unif_law.nz (g _),on_unif,h1]
123
- have h0 (i) : pr unif (g i)≤1 := (pr_le_tot unif_law.nz).trans unif_law.total.le
124
- apply le_trans (mul_le_mul_of_nonneg_right (h0 _) (pr_nonneg (unifOn_sub _).nz))
125
- unfold g S; rw [lane_pooled,one_mul]; exact le_rfl
126
-
127
- end HadwigerCounterexample
128
-
129
- end
130
-
131
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ConditionedBatchLaws
2
+
3
+ namespace OAI
4
+
5
+ /-! # Repeated Batch Laws -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Submodule Finset Function
10
+ open scoped BigOperators
11
+ variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G] [DecidableEq I]
12
+ variable [DecidableEq J] [DecidableEq G] {p : Shape} {n N : ℕ}
13
+
14
+ def tied (f : Route I G) (J : Type) : Route (J×I) G := f ∘ Prod.snd
15
+ variable {f : Route I G}
16
+
17
+ def pooled (A : J → NomQuery p n f) : NomQuery p n (tied f J) :=
18
+ fun g => Matrix.of (fun i j => A j.val.1 g i (⟨j.val.2,j.property⟩))
19
+
20
+ omit [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J] [DecidableEq G] in
21
+ theorem peek_pooled (A B : J→NomQuery p n f) (x : Forum p n N G) (i : J) :
22
+ led i (peekR p (tied f J) (pooled A) (pooled B) x)=peekR p f (A i) (B i) x := by
23
+ apply Prod.ext <;> ext <;> rfl
24
+
25
+ omit [Fintype I] [Fintype J] [Fintype G] [DecidableEq I] [DecidableEq J] [DecidableEq G] in
26
+ theorem lane_pooled (A B : J→NomQuery p n f) (m : Mixer p n) (i : J) :
27
+ laneM (database m (pooled A) (pooled B)) i=database m (A i) (B i) := by
28
+ funext z; ext x y; rfl
29
+
30
+ omit [Fintype G] in
31
+ theorem pool_injective {A : J → NomQuery p n f} (h : ∀ i, Injective (pooled A i).mulVec) :
32
+ ∀ z i,Injective (A z i).mulVec := by
33
+ classical
34
+ intro z i
35
+ let e := condLane (tied f J) z i
36
+ have he : Injective e := by
37
+ intro a b h; exact Subtype.ext (congrArg (fun x : Port (tied f J) i => x.val.2) h)
38
+ have ho : A z i=pooled A i*embedMat e := by rw [mul_embedMat]; rfl
39
+ rw [ho]; exact inj_comp_mat _ _ (h i) (embedMat_inj he)
40
+
41
+ theorem poUse (A B : J→NomQuery p n f) (m : Mixer p n)
42
+ (hN : 2*num (Full p n)<N)
43
+ (ha : ∀ i,Injective (pooled A i).mulVec) (hb : ∀ i, Injective (pooled B i).mulVec)
44
+ (F : Wgt (Rack (J×I) N)) :
45
+ avg (forumLaw m N) (fun x => F (peekR p (tied f J) (pooled A) (pooled B) x))=
46
+ avg (rackStation (database m (pooled A) (pooled B)) N) F := by
47
+ rw [← mapW_avg,law_peekR m hN ha hb]
48
+
49
+ set_option maxHeartbeats 800000 in
50
+ theorem pooled_batch (A B : J → NomQuery p n f) (m : Mixer p n)
51
+ (hN : 2*num (Full p n)<N)
52
+ (k : ℝ) (hk : ∀ i,num (Port (tied f J) i)≤k)
53
+ (hL : 2*k-N≤-1)
54
+ (ha : ∀ i, Injective (pooled A i).mulVec)
55
+ (hb : ∀ i, Injective (pooled B i).mulVec)
56
+ (F : J→ Wgt (Rack I N)) (hf : ∀ i x,|F i x|≤1) :
57
+ let w := forumLaw (G:=G) m N
58
+ |avg w (fun x => ∏ i, F i (peekR p f (A i) (B i) x)) -
59
+ ∏ i, avg w (fun x => F i (peekR p f (A i) (B i) x))|≤
60
+ 2*netFact (tied f J)*twinkle (tied f J) k N := by
61
+ classical
62
+ let w := forumLaw m N (G:=G)
63
+ let Z := database m (pooled A) (pooled B)
64
+ have he i :
65
+ avg w (fun x => F i (peekR p f (A i) (B i) x))=
66
+ avg (rackStation (database m (A i) (B i)) N) (F i) := by
67
+ unfold w; rw [←mapW_avg,law_peekR m hN (pool_injective ha i) (pool_injective hb i)]
68
+ have hx :
69
+ avg w (fun x => ∏ i, F i (peekR p f (A i) (B i) x)) =
70
+ avg (rackStation Z N) (brightProd F) := by
71
+ rw [show avg (rackStation Z N) _ =_ from (poUse A B m hN ha hb (brightProd F)).symm]
72
+ refine avg_congr fun x _ => ?_
73
+ simp_rw [brightProd, peek_pooled]
74
+ dsimp only
75
+ change |avg w _ - ∏ i, avg w _| ≤ _
76
+ simp_rw [he]; rw [hx]
77
+ have hi := compare_lanes Z F hf k hk (fun i => by linarith only [hk i,hL])
78
+ simp_rw [Z,lane_pooled] at *
79
+ exact hi
80
+
81
+ set_option maxHeartbeats 600000 in
82
+ theorem pool_upper (A B : J → NomQuery p n f) (m : Mixer p n)
83
+ (hN : 2*num (Full p n)<N)
84
+ (ha : ∀ i, Injective (pooled A i).mulVec)
85
+ (hb : ∀ i, Injective (pooled B i).mulVec)
86
+ (hL : ∀ i,2*num (Port (tied f J) i)-N ≤ -1) (P : J→Rack I N → Prop) :
87
+ let w := forumLaw (G:=G) m N
88
+ pr w (fun x => ∀ i,P i (peekR p f (A i) (B i) x))≤
89
+ netFact (tied f J)* ∏ i, pr w (fun x => P i (peekR p f (A i) (B i) x)) := by
90
+ classical
91
+ let w := forumLaw (G:=G) m N
92
+ let S := database m (pooled A) (pooled B)
93
+ let q (x : Rack (J×I) N) := ∀ i,P i (led i x)
94
+ have h1 i :
95
+ pr w (fun x => P i (peekR p f (A i) (B i) x)) =
96
+ pr (rackStation (database m (A i) (B i)) N) (P i) := by
97
+ unfold w; rw [←mapW_pr,law_peekR m hN (pool_injective ha i) (pool_injective hb i)]
98
+ have ht :
99
+ pr w (fun x => ∀ i,P i (peekR p f (A i) (B i) x)) =
100
+ pr (rackStation S N) q := by
101
+ rw [show pr (rackStation S N) q= _ from
102
+ (poUse A B m hN ha hb (fun x => ind (q x))).symm]
103
+ refine avg_congr fun x _ => ?_
104
+ simp_rw [q,peek_pooled]
105
+ let M := netFact (tied f J)
106
+ let g (i : J) := bothPart (laneM S i) (N:=N)
107
+ have hg x (hh : bothPart S x ∧ q x) :
108
+ ∀ i,g i (led i x)∧ P i (led i x) := fun i => ⟨laneGram S _ hh.1 _,hh.2 i⟩
109
+ change pr w _ ≤ _
110
+ rw [ht, rackStation,← on_unif,pr_on]
111
+ have hx : pr unif (fun x : Rack (J×I) N => ∀ i,g i (led i x)∧ P i (led i x)) =
112
+ ∏ i,pr unif (fun x => g i x∧P i x) := by
113
+ change avg unif _=_
114
+ simp_rw [ind_all]
115
+ exact led_piece Finset.univ (fun i x => g i x∧P i x)
116
+ have hh0 := net_norm S N hL
117
+ refine (div_le_div₀ (pr_nonneg unif_law.nz)
118
+ (pr_mono unif_law.nz hg) (inv_pos_of_pos netFact_pos) hh0.1).trans ?_
119
+ rw [hx,div_eq_mul_inv,inv_inv,mul_comm]
120
+ apply mul_le_mul_of_nonneg_left _ netFact_pos.le
121
+ refine Finset.prod_le_prod₀ (fun i _ => pr_nonneg unif_law.nz) (fun i _ => ?_)
122
+ rw [pr_of_on unif_law.nz (g _),on_unif,h1]
123
+ have h0 (i) : pr unif (g i)≤1 := (pr_le_tot unif_law.nz).trans unif_law.total.le
124
+ apply le_trans (mul_le_mul_of_nonneg_right (h0 _) (pr_nonneg (unifOn_sub _).nz))
125
+ unfold g S; rw [lane_pooled,one_mul]; exact le_rfl
126
+
127
+ end HadwigerCounterexample
128
+
129
+ end
130
+
131
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedQueryBounds.lean CHANGED
@@ -1,161 +1,161 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BatchCharacters
2
-
3
- namespace OAI
4
-
5
- /-! # Repeated Query Bounds -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Submodule Function Finset
10
- open scoped BigOperators
11
- variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G]
12
- variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
13
- variable {N : ℕ}
14
-
15
- private theorem num_cross_peak (E : Rail (I×J))
16
- (he : ∀ i∈E,i.1.1≠i.2.1) (t : ℕ) :
17
- nbr (fun v : Vec E=> peak (ledgerM E v)=t) ≤ bp (peakExpense I J t) := by
18
- classical
19
- let Γ := fun M : Avenue I J => interDraw M ∧ peak M=t
20
- have hh (v) : interDraw (ledgerM E v) := fun i j k => within_recorded E v _ _
21
- (fun h => he _ h rfl)
22
- rw [nbr_eq_card]
23
- apply le_trans _ (price_peak (I:=I) (J:=J) t)
24
- rw [nbr_eq_card]
25
- let f (v : {v : Vec E//peak (ledgerM E v)=t}) : { M//Γ M} :=
26
- ⟨ledgerM E v.val, hh _,v.property⟩
27
- have h : Injective f := by
28
- intro v w he
29
- apply Subtype.ext
30
- have h : ledgerM E v.val=ledgerM E w.val := congrArg Subtype.val he
31
- rw [←inLedger E v.val,h,inLedger]
32
- exact_mod_cast Fintype.card_le_of_injective f h
33
-
34
- private theorem peak_sum (E : Rail (I×J))
35
- (he : ∀ i∈E,i.1.1≠ i.2.1) (u : ℝ)
36
- (h : peakExpense I J 1+u≤0) :
37
- ∑ v : Vec E,bp (u*peak (ledgerM E v))≤num (I×J)+1 := by
38
- classical
39
- let T := Fintype.card (I×J)
40
- let f (v : Vec E) : Fin (T+1) :=
41
- ⟨peak (ledgerM E v), Nat.lt_succ_of_le (peak_le _)⟩
42
- have hg : ∑ v : Vec E,bp (u*peak (ledgerM E v))=
43
- ∑ i : Fin (T+1),bp (u*i.val) * nbr (fun v : Vec E => peak (ledgerM E v)=i.val) := by
44
- unfold nbr tot; simp only [Finset.mul_sum]; rw [Finset.sum_comm]
45
- refine Finset.sum_congr rfl fun v _ => ?_
46
- rw [Finset.sum_eq_single (f v)]
47
- · simp only [f,ind_true,mul_one]
48
- · intro i _ hi; rw [ind_zero (show peak _≠i.val from
49
- fun h => hi (Fin.ext h.symm)),mul_zero]
50
- simp
51
- have hi (i : Fin (T+1)) :
52
- bp (u*i.val)*nbr (fun v : Vec E=>peak (ledgerM E v)=i.val) ≤ 1 := by
53
- refine (mul_le_mul_of_nonneg_left (num_cross_peak E he i.val) (bp_pos _).le).trans ?_
54
- rw [←bp_add,←bp_zero]
55
- apply bp_le
56
- unfold peakExpense at *
57
- have h1 := mul_nonpos_of_nonpos_of_nonneg h (Nat.cast_nonneg i.val : 0≤(i.val:ℝ))
58
- norm_num at h1
59
- linarith only [h1]
60
- rw [hg]
61
- exact (Finset.sum_le_sum fun i _ => hi i).trans_eq (by simp [num,T])
62
-
63
- set_option maxHeartbeats 800000 in
64
- theorem cross_flood (E : Rail (I×J)) (Z : Vec E)
65
- (he : ∀ i∈E,i.1.1≠ i.2.1) (u : ℝ) (hu : 0≤u)
66
- (P : I → Rack J N → Prop) (hp : ∀ i,bp (-u)≤pr unif (P i))
67
- (hδ : peakExpense I J 1+(-(N:ℝ)/2+2*u) ≤0) :
68
- pr unif (fun x => traced x E Z ∧ ∀ i,P i (led i x))≤
69
- bp (-(E.card:ℝ)) * (num (I×J)+1) *∏ i,pr unif (P i) := by
70
- classical
71
- let H := ∏ i,pr unif (P i)
72
- have hg : 0≤H := Finset.prod_nonneg fun _ _ => pr_nonneg unif_law.nz
73
- let C : ℝ := -(N:ℝ)/2+2*u
74
- let F (v : Vec E) :=
75
- vectorPhase v Z*avg unif (fun x => phasedBy (ledgerM E v) x*phot P x)
76
- have hh v : F v ≤ bp (C*peak (ledgerM E v))*H := by
77
- refine (le_abs_self _).trans ?_
78
- unfold F; rw [abs_mul,vectorPhase,wsign_abs,one_mul]
79
- exact light_bound _ P u hu hp
80
- have heq : pr unif (fun x => traced x E Z ∧ ∀ i,P i (led i x))=
81
- avg unif F := by
82
- unfold pr F
83
- simp_rw [ind_and,ind_all,rail_expand,← avg_mul,← avg_mul']
84
- rw [avg_avg]
85
- refine avg_congr fun v _ => avg_congr fun x _ => ?_
86
- unfold phot; ring
87
- rw [heq]
88
- refine (avg_mono unif_law.nz hh).trans ?_
89
- let lamh := bp (-(E.card:ℝ))
90
- have he' (x : Vec E) :
91
- unif x=lamh := by rw [unif_apply,card_space,dim_vec,Fintype.card_coe, ← bp_neg]
92
- simp only [avg,he',← Finset.mul_sum]
93
- rw [← Finset.sum_mul,mul_assoc]
94
- exact mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right (peak_sum E he _ hδ) hg)
95
- (bp_pos _).le
96
-
97
- def cInside (g : Route (I×J) G) :=
98
- (crowded g).filter (fun i => i.1.1=i.2.1)
99
-
100
- omit [Fintype G] in
101
- theorem inside_count (g : Route (I×J) G) :
102
- (cInside g).card≤ Fintype.card I*Fintype.card J*Fintype.card J := by
103
- classical
104
- let f : I×J×J → (I×J)×(I×J) := fun x => ((x.1,x.2.1),(x.1,x.2.2))
105
- have h : cInside g ⊆ Finset.univ.image f := by
106
- rintro ⟨⟨x,i⟩,y,j⟩ hv
107
- obtain rfl : x=y := (mem_filter.mp hv).2
108
- exact mem_image.mpr ⟨(x,i,j),mem_univ _,rfl⟩
109
- exact (card_le_card h).trans (card_image_le.trans_eq (by simp [mul_assoc]))
110
-
111
- set_option maxHeartbeats 800000 in
112
- theorem many_frames (g : Route (I×J) G) (Z : GeoM g) (hN : ∀ i,2*num (Port g i)-N≤ -1)
113
- (u : ℝ) (hu : 0≤u) (P : I→Rack J N→Prop) (hp : ∀ i,bp (-u) ≤ pr unif (P i))
114
- (hd : peakExpense I J 1+ (-(N:ℝ)/2+2*u) ≤0) :
115
- pr (rackStation Z N) (fun x => ∀ i,P i (led i x))≤
116
- (4:ℝ)^Fintype.card G * bp (num I * num J * num J) * (num (I×J)+1) *
117
- ∏ i:I,pr unif (P i) := by
118
- classical
119
- let E := crowded g
120
- let Y := cInside g
121
- let R := E\Y
122
- have hn := (net_norm Z N hN).1
123
- let Z' := directions g Z
124
- let w (x : R) := Z' ⟨x.val,sdiff_subset x.property⟩
125
- have hl (x : Rack (I×J) N) (h : gramPart Z x) :
126
- traced x R w := by
127
- have he := (match_crowd x g Z).mpr h
128
- funext i
129
- exact congr_fun he (⟨i.val,sdiff_subset i.property⟩ : ↑E)
130
- have he i (h : i∈R) : i.1.1≠ i.2.1 := by
131
- intro hx
132
- obtain ⟨h1,h2⟩ := Finset.mem_sdiff.mp h
133
- exact h2 (Finset.mem_filter.mpr ⟨h1,hx⟩)
134
- let Q := fun x => ∀ i, P i (led i x)
135
- let H := ∏ i,pr unif (P i)
136
- have h0 := netFact_pos (f:=g)
137
- unfold rackStation
138
- rw [← on_unif, pr_on]
139
- have hh : pr unif (fun x => bothPart (N:=N) Z x ∧ Q x) ≤
140
- pr unif (fun x => traced x R w ∧ Q x) :=
141
- pr_mono unif_law.nz (fun x h => ⟨hl x ((both_test ..).mp h.1).1,h.2⟩)
142
- have hf := cross_flood R w he u hu P hp hd
143
- refine le_trans (div_le_div₀ ((pr_nonneg unif_law.nz).trans hf)
144
- (hh.trans hf) (inv_pos_of_pos h0) hn) ?_
145
- let K : ℝ := num (I×J)+1
146
- have hk : 0 ≤ K := by unfold K num; positivity
147
- change bp (- (R.card:ℝ)) * K * H / (netFact g)⁻¹ ≤ (4:ℝ)^_ * _ * K * H
148
- have hY : Y ⊆ E := Finset.filter_subset ..
149
- have hy : (R.card:ℝ)+(Y.card:ℝ) = netSize g := by
150
- rw [← rail_count]; exact_mod_cast Finset.card_sdiff_add_card_eq_card hY
151
- have hY' : (Y.card:ℝ) ≤ num I * num J * num J := by exact_mod_cast inside_count g
152
- unfold netFact
153
- have hg : 0 ≤ H := Finset.prod_nonneg fun i _ => pr_nonneg unif_law.nz
154
- calc _ = (4:ℝ)^Fintype.card G * bp (netSize g- (R.card:ℝ))*K*H := by
155
- rw [div_eq_mul_inv,inv_inv,bp_sub,bp_neg]; ring
156
- _ ≤ _ := by gcongr; linarith
157
- end HadwigerCounterexample
158
-
159
- end
160
-
161
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BatchCharacters
2
+
3
+ namespace OAI
4
+
5
+ /-! # Repeated Query Bounds -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Submodule Function Finset
10
+ open scoped BigOperators
11
+ variable {I J G : Type} [Fintype I] [Fintype J] [Fintype G]
12
+ variable [DecidableEq I] [DecidableEq J] [DecidableEq G]
13
+ variable {N : ℕ}
14
+
15
+ private theorem num_cross_peak (E : Rail (I×J))
16
+ (he : ∀ i∈E,i.1.1≠i.2.1) (t : ℕ) :
17
+ nbr (fun v : Vec E=> peak (ledgerM E v)=t) ≤ bp (peakExpense I J t) := by
18
+ classical
19
+ let Γ := fun M : Avenue I J => interDraw M ∧ peak M=t
20
+ have hh (v) : interDraw (ledgerM E v) := fun i j k => within_recorded E v _ _
21
+ (fun h => he _ h rfl)
22
+ rw [nbr_eq_card]
23
+ apply le_trans _ (price_peak (I:=I) (J:=J) t)
24
+ rw [nbr_eq_card]
25
+ let f (v : {v : Vec E//peak (ledgerM E v)=t}) : { M//Γ M} :=
26
+ ⟨ledgerM E v.val, hh _,v.property⟩
27
+ have h : Injective f := by
28
+ intro v w he
29
+ apply Subtype.ext
30
+ have h : ledgerM E v.val=ledgerM E w.val := congrArg Subtype.val he
31
+ rw [←inLedger E v.val,h,inLedger]
32
+ exact_mod_cast Fintype.card_le_of_injective f h
33
+
34
+ private theorem peak_sum (E : Rail (I×J))
35
+ (he : ∀ i∈E,i.1.1≠ i.2.1) (u : ℝ)
36
+ (h : peakExpense I J 1+u≤0) :
37
+ ∑ v : Vec E,bp (u*peak (ledgerM E v))≤num (I×J)+1 := by
38
+ classical
39
+ let T := Fintype.card (I×J)
40
+ let f (v : Vec E) : Fin (T+1) :=
41
+ ⟨peak (ledgerM E v), Nat.lt_succ_of_le (peak_le _)⟩
42
+ have hg : ∑ v : Vec E,bp (u*peak (ledgerM E v))=
43
+ ∑ i : Fin (T+1),bp (u*i.val) * nbr (fun v : Vec E => peak (ledgerM E v)=i.val) := by
44
+ unfold nbr tot; simp only [Finset.mul_sum]; rw [Finset.sum_comm]
45
+ refine Finset.sum_congr rfl fun v _ => ?_
46
+ rw [Finset.sum_eq_single (f v)]
47
+ · simp only [f,ind_true,mul_one]
48
+ · intro i _ hi; rw [ind_zero (show peak _≠i.val from
49
+ fun h => hi (Fin.ext h.symm)),mul_zero]
50
+ simp
51
+ have hi (i : Fin (T+1)) :
52
+ bp (u*i.val)*nbr (fun v : Vec E=>peak (ledgerM E v)=i.val) ≤ 1 := by
53
+ refine (mul_le_mul_of_nonneg_left (num_cross_peak E he i.val) (bp_pos _).le).trans ?_
54
+ rw [←bp_add,←bp_zero]
55
+ apply bp_le
56
+ unfold peakExpense at *
57
+ have h1 := mul_nonpos_of_nonpos_of_nonneg h (Nat.cast_nonneg i.val : 0≤(i.val:ℝ))
58
+ norm_num at h1
59
+ linarith only [h1]
60
+ rw [hg]
61
+ exact (Finset.sum_le_sum fun i _ => hi i).trans_eq (by simp [num,T])
62
+
63
+ set_option maxHeartbeats 800000 in
64
+ theorem cross_flood (E : Rail (I×J)) (Z : Vec E)
65
+ (he : ∀ i∈E,i.1.1≠ i.2.1) (u : ℝ) (hu : 0≤u)
66
+ (P : I → Rack J N → Prop) (hp : ∀ i,bp (-u)≤pr unif (P i))
67
+ (hδ : peakExpense I J 1+(-(N:ℝ)/2+2*u) ≤0) :
68
+ pr unif (fun x => traced x E Z ∧ ∀ i,P i (led i x))≤
69
+ bp (-(E.card:ℝ)) * (num (I×J)+1) *∏ i,pr unif (P i) := by
70
+ classical
71
+ let H := ∏ i,pr unif (P i)
72
+ have hg : 0≤H := Finset.prod_nonneg fun _ _ => pr_nonneg unif_law.nz
73
+ let C : ℝ := -(N:ℝ)/2+2*u
74
+ let F (v : Vec E) :=
75
+ vectorPhase v Z*avg unif (fun x => phasedBy (ledgerM E v) x*phot P x)
76
+ have hh v : F v ≤ bp (C*peak (ledgerM E v))*H := by
77
+ refine (le_abs_self _).trans ?_
78
+ unfold F; rw [abs_mul,vectorPhase,wsign_abs,one_mul]
79
+ exact light_bound _ P u hu hp
80
+ have heq : pr unif (fun x => traced x E Z ∧ ∀ i,P i (led i x))=
81
+ avg unif F := by
82
+ unfold pr F
83
+ simp_rw [ind_and,ind_all,rail_expand,← avg_mul,← avg_mul']
84
+ rw [avg_avg]
85
+ refine avg_congr fun v _ => avg_congr fun x _ => ?_
86
+ unfold phot; ring
87
+ rw [heq]
88
+ refine (avg_mono unif_law.nz hh).trans ?_
89
+ let lamh := bp (-(E.card:ℝ))
90
+ have he' (x : Vec E) :
91
+ unif x=lamh := by rw [unif_apply,card_space,dim_vec,Fintype.card_coe, ← bp_neg]
92
+ simp only [avg,he',← Finset.mul_sum]
93
+ rw [← Finset.sum_mul,mul_assoc]
94
+ exact mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right (peak_sum E he _ hδ) hg)
95
+ (bp_pos _).le
96
+
97
+ def cInside (g : Route (I×J) G) :=
98
+ (crowded g).filter (fun i => i.1.1=i.2.1)
99
+
100
+ omit [Fintype G] in
101
+ theorem inside_count (g : Route (I×J) G) :
102
+ (cInside g).card≤ Fintype.card I*Fintype.card J*Fintype.card J := by
103
+ classical
104
+ let f : I×J×J → (I×J)×(I×J) := fun x => ((x.1,x.2.1),(x.1,x.2.2))
105
+ have h : cInside g ⊆ Finset.univ.image f := by
106
+ rintro ⟨⟨x,i⟩,y,j⟩ hv
107
+ obtain rfl : x=y := (mem_filter.mp hv).2
108
+ exact mem_image.mpr ⟨(x,i,j),mem_univ _,rfl⟩
109
+ exact (card_le_card h).trans (card_image_le.trans_eq (by simp [mul_assoc]))
110
+
111
+ set_option maxHeartbeats 800000 in
112
+ theorem many_frames (g : Route (I×J) G) (Z : GeoM g) (hN : ∀ i,2*num (Port g i)-N≤ -1)
113
+ (u : ℝ) (hu : 0≤u) (P : I→Rack J N→Prop) (hp : ∀ i,bp (-u) ≤ pr unif (P i))
114
+ (hd : peakExpense I J 1+ (-(N:ℝ)/2+2*u) ≤0) :
115
+ pr (rackStation Z N) (fun x => ∀ i,P i (led i x))≤
116
+ (4:ℝ)^Fintype.card G * bp (num I * num J * num J) * (num (I×J)+1) *
117
+ ∏ i:I,pr unif (P i) := by
118
+ classical
119
+ let E := crowded g
120
+ let Y := cInside g
121
+ let R := E\Y
122
+ have hn := (net_norm Z N hN).1
123
+ let Z' := directions g Z
124
+ let w (x : R) := Z' ⟨x.val,sdiff_subset x.property⟩
125
+ have hl (x : Rack (I×J) N) (h : gramPart Z x) :
126
+ traced x R w := by
127
+ have he := (match_crowd x g Z).mpr h
128
+ funext i
129
+ exact congr_fun he (⟨i.val,sdiff_subset i.property⟩ : ↑E)
130
+ have he i (h : i∈R) : i.1.1≠ i.2.1 := by
131
+ intro hx
132
+ obtain ⟨h1,h2⟩ := Finset.mem_sdiff.mp h
133
+ exact h2 (Finset.mem_filter.mpr ⟨h1,hx⟩)
134
+ let Q := fun x => ∀ i, P i (led i x)
135
+ let H := ∏ i,pr unif (P i)
136
+ have h0 := netFact_pos (f:=g)
137
+ unfold rackStation
138
+ rw [← on_unif, pr_on]
139
+ have hh : pr unif (fun x => bothPart (N:=N) Z x ∧ Q x) ≤
140
+ pr unif (fun x => traced x R w ∧ Q x) :=
141
+ pr_mono unif_law.nz (fun x h => ⟨hl x ((both_test ..).mp h.1).1,h.2⟩)
142
+ have hf := cross_flood R w he u hu P hp hd
143
+ refine le_trans (div_le_div₀ ((pr_nonneg unif_law.nz).trans hf)
144
+ (hh.trans hf) (inv_pos_of_pos h0) hn) ?_
145
+ let K : ℝ := num (I×J)+1
146
+ have hk : 0 ≤ K := by unfold K num; positivity
147
+ change bp (- (R.card:ℝ)) * K * H / (netFact g)⁻¹ ≤ (4:ℝ)^_ * _ * K * H
148
+ have hY : Y ⊆ E := Finset.filter_subset ..
149
+ have hy : (R.card:ℝ)+(Y.card:ℝ) = netSize g := by
150
+ rw [← rail_count]; exact_mod_cast Finset.card_sdiff_add_card_eq_card hY
151
+ have hY' : (Y.card:ℝ) ≤ num I * num J * num J := by exact_mod_cast inside_count g
152
+ unfold netFact
153
+ have hg : 0 ≤ H := Finset.prod_nonneg fun i _ => pr_nonneg unif_law.nz
154
+ calc _ = (4:ℝ)^Fintype.card G * bp (netSize g- (R.card:ℝ))*K*H := by
155
+ rw [div_eq_mul_inv,inv_inv,bp_sub,bp_neg]; ring
156
+ _ ≤ _ := by gcongr; linarith
157
+ end HadwigerCounterexample
158
+
159
+ end
160
+
161
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RepeatedQueryEnergy.lean CHANGED
@@ -1,117 +1,117 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.EmpiricalInformation
2
-
3
- namespace OAI
4
-
5
- /-! # Repeated Query Energy -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real
10
- open scoped BigOperators
11
- variable {A B C X J : Type} [Fintype A] [Fintype B] [Fintype X] [Fintype J]
12
- variable [DecidableEq J]
13
-
14
- omit [Fintype B] in
15
- theorem path_repeat {μ : Wgt A} {w : Wgt X} (f : A→ X→B) :
16
- mixW μ (fun i => draws J (mapW w (f i))) =
17
- mixW (draws J w) (fun x => mapW μ (fun i => f i ∘ x)) := by
18
- classical
19
- funext i
20
- have h (j : A) :
21
- draws J (mapW w (f j)) i=pr (draws J w) (fun x => f j ∘ x=i) := by
22
- simp_rw [funext_iff]
23
- exact Eq.symm (prodW_pr _ (fun l y => f j y=i l))
24
- simp_rw [mixW,h]
25
- exact avg_avg ..
26
-
27
- theorem path_sub (w : Wgt X) (p : X→Prop) (f : X → Wgt A)
28
- (hw : SubLaw w) (hf : ∀ i,IsLaw (f i)) :
29
- SubLaw (mixW (subW w p) f) ∧ tot (mixW (subW w p) f)=pr w p := by
30
- have hh : tot (mixW (subW w p) f)=pr w p := by
31
- rw [mixW_tot]; simp_rw [(hf _).total,avg_const,mul_one,subW_tot]
32
- exact ⟨⟨fun i => avg_nonneg (subLaw_sub hw p).nz (fun j => (hf j).nz i),
33
- hh ▸ (pr_le_tot hw.nz).trans hw.total⟩,hh⟩
34
-
35
- omit [Fintype A] in
36
- theorem path_patch (w : Wgt X) (p : X→Prop) (f : X → Wgt A) :
37
- ∀ i,mixW w f i=mixW (subW w p) f i+mixW (subW w (fun x=>¬ p x)) f i := by
38
- intro i
39
- unfold mixW subW avg
40
- rw [←Finset.sum_add_distrib]; simp_rw [ind_not]
41
- exact sum_congr rfl fun j _ => by ring
42
-
43
- set_option maxHeartbeats 1000000 in
44
- theorem path_energy (μ : Wgt A) (w : Wgt X) (q : Wgt B)
45
- (f : A → X→B) (hμ : IsLaw μ) (hw : IsLaw w) (hq : IsLaw q)
46
- (h : ∀ i j,q (f i j)≠0)
47
- (u : ℝ) (hu : 0≤u) (hp : ∀ i,q i ≠0 → bp (-u)≤q i)
48
- (l : ℕ) (P : (Fin l→X)→ Prop) (r : ℝ)
49
- (hr : pr (draws (Fin l) w) (fun x => ¬ P x)≤r)
50
- (C : ℝ) (hc : 0≤C)
51
- (hP : ∀ x,P x→ ∀ y,mapW μ (fun i => f i ∘ x) y ≤ bp C * draws (Fin l) q y) :
52
- (l:ℝ)* avg μ (fun i => tension (mapW w (f i)) q) ≤
53
- num B*log (↑l+1)+(C+r*u*l+1)*log 2 := by
54
- classical
55
- let F (i : A) := mapW w (f i)
56
- let W := draws (Fin l) w
57
- let Q := draws (Fin l) q
58
- let k (x : Fin l → X) := mapW μ (fun i => f i ∘ x)
59
- let g := mixW (subW W P) k
60
- let b := mixW (subW W (fun x => ¬ P x)) k
61
- let V := mixW μ (fun i => draws (Fin l) (F i))
62
- have h0 : ∀ i, lsupp (F i) q := by
63
- intro i j hj; obtain ⟨t,ht,rfl⟩ := lsupp_witness hj
64
- exact h _ _
65
- have hF : ∀ i,IsLaw (F i) := fun i => mapW_law hw (f i)
66
- have hV : IsLaw V := mixW_law hμ (fun i => draws_law (hF i))
67
- have hQ : IsLaw Q := draws_law hq
68
- have hW : IsLaw W := draws_law hw
69
- have hk : ∀ i,IsLaw (k i) := fun i => mapW_law hμ _
70
- have h1 := traj_charge (l:=l) μ F q hμ hF h0
71
- have h2 : ∀ i,V i=g i+b i := by unfold V F; rw [path_repeat]; exact path_patch W P k
72
- have hg := path_sub W P k hW.sub hk
73
- have hb := path_sub W (fun x => ¬ P x) k hW.sub hk
74
- have h2L : 0 ≤ log (2:ℝ) := (Real.log_pos (by norm_num)).le
75
- have h3 : tension g Q ≤ C*log 2 := by
76
- have hz i : g i ≤ bp C*Q i := by
77
- let c := bp C*Q i
78
- have hc : 0≤c := mul_nonneg (bp_pos _).le (hQ.nz _)
79
- have he (j) : ind (P j)*k j i ≤ c := by
80
- by_cases h : P j
81
- · rw [ind_one h,one_mul]; exact hP j h i
82
- rw [ind_zero h,zero_mul]; exact hc
83
- refine le_trans ?_ (hW.avg_le he)
84
- simp only [g,mixW,subW,avg,mul_assoc]; rfl
85
- refine (tension_le_cap hg.1.nz hQ.nz _ (bp_pos _) hz).trans ?_
86
- rw [log_bp]
87
- exact (mul_le_mul_of_nonneg_right hg.1.total
88
- (mul_nonneg hc h2L)).trans_eq (one_mul _)
89
- have h4 : tension b Q ≤ r*(u*l*log 2) := by
90
- have hz (i : Fin l → B) : b i ≤ bp (u*l)*Q i := by
91
- by_cases he : Q i=0
92
- · have ht (j) : k j i=0 := by
93
- by_contra h
94
- obtain ⟨z,hz,rfl⟩ := lsupp_witness h
95
- have ht : Q (f z ∘ j) ≠ 0 := by
96
- change ∏ i:Fin l,q (f z (j i)) ≠0
97
- rw [Finset.prod_ne_zero_iff]; exact fun i _ => ‹∀ i j,q (f i j)≠0› _ _
98
- exact ht he
99
- unfold b mixW; simp_rw [ht]; rw [he,avg_zero,mul_zero]
100
- have hq := traj_cap q hq u hp i he
101
- refine (hb.1.weight_le_one i).trans ?_
102
- exact (le_of_eq (by rw [←bp_add,show u*l+ -u*l = 0 by ring,bp_zero])).trans
103
- (mul_le_mul_of_nonneg_left hq (bp_pos _).le)
104
- refine (tension_le_cap hb.1.nz hQ.nz _ (bp_pos _) hz).trans ?_
105
- rw [log_bp]
106
- exact mul_le_mul_of_nonneg_right (hb.2.le.trans hr)
107
- (by apply mul_nonneg (by positivity) h2L)
108
- apply h1.trans
109
- refine add_le_add_right ?_ _
110
- have h5 := tension_add_le V g b Q h2 hg.1.nz hb.1.nz
111
- rw [hV.total] at h5
112
- linarith only [h5,h4,h3]
113
- end HadwigerCounterexample
114
-
115
- end
116
-
117
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.EmpiricalInformation
2
+
3
+ namespace OAI
4
+
5
+ /-! # Repeated Query Energy -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real
10
+ open scoped BigOperators
11
+ variable {A B C X J : Type} [Fintype A] [Fintype B] [Fintype X] [Fintype J]
12
+ variable [DecidableEq J]
13
+
14
+ omit [Fintype B] in
15
+ theorem path_repeat {μ : Wgt A} {w : Wgt X} (f : A→ X→B) :
16
+ mixW μ (fun i => draws J (mapW w (f i))) =
17
+ mixW (draws J w) (fun x => mapW μ (fun i => f i ∘ x)) := by
18
+ classical
19
+ funext i
20
+ have h (j : A) :
21
+ draws J (mapW w (f j)) i=pr (draws J w) (fun x => f j ∘ x=i) := by
22
+ simp_rw [funext_iff]
23
+ exact Eq.symm (prodW_pr _ (fun l y => f j y=i l))
24
+ simp_rw [mixW,h]
25
+ exact avg_avg ..
26
+
27
+ theorem path_sub (w : Wgt X) (p : X→Prop) (f : X → Wgt A)
28
+ (hw : SubLaw w) (hf : ∀ i,IsLaw (f i)) :
29
+ SubLaw (mixW (subW w p) f) ∧ tot (mixW (subW w p) f)=pr w p := by
30
+ have hh : tot (mixW (subW w p) f)=pr w p := by
31
+ rw [mixW_tot]; simp_rw [(hf _).total,avg_const,mul_one,subW_tot]
32
+ exact ⟨⟨fun i => avg_nonneg (subLaw_sub hw p).nz (fun j => (hf j).nz i),
33
+ hh ▸ (pr_le_tot hw.nz).trans hw.total⟩,hh⟩
34
+
35
+ omit [Fintype A] in
36
+ theorem path_patch (w : Wgt X) (p : X→Prop) (f : X → Wgt A) :
37
+ ∀ i,mixW w f i=mixW (subW w p) f i+mixW (subW w (fun x=>¬ p x)) f i := by
38
+ intro i
39
+ unfold mixW subW avg
40
+ rw [←Finset.sum_add_distrib]; simp_rw [ind_not]
41
+ exact sum_congr rfl fun j _ => by ring
42
+
43
+ set_option maxHeartbeats 1000000 in
44
+ theorem path_energy (μ : Wgt A) (w : Wgt X) (q : Wgt B)
45
+ (f : A → X→B) (hμ : IsLaw μ) (hw : IsLaw w) (hq : IsLaw q)
46
+ (h : ∀ i j,q (f i j)≠0)
47
+ (u : ℝ) (hu : 0≤u) (hp : ∀ i,q i ≠0 → bp (-u)≤q i)
48
+ (l : ℕ) (P : (Fin l→X)→ Prop) (r : ℝ)
49
+ (hr : pr (draws (Fin l) w) (fun x => ¬ P x)≤r)
50
+ (C : ℝ) (hc : 0≤C)
51
+ (hP : ∀ x,P x→ ∀ y,mapW μ (fun i => f i ∘ x) y ≤ bp C * draws (Fin l) q y) :
52
+ (l:ℝ)* avg μ (fun i => tension (mapW w (f i)) q) ≤
53
+ num B*log (↑l+1)+(C+r*u*l+1)*log 2 := by
54
+ classical
55
+ let F (i : A) := mapW w (f i)
56
+ let W := draws (Fin l) w
57
+ let Q := draws (Fin l) q
58
+ let k (x : Fin l → X) := mapW μ (fun i => f i ∘ x)
59
+ let g := mixW (subW W P) k
60
+ let b := mixW (subW W (fun x => ¬ P x)) k
61
+ let V := mixW μ (fun i => draws (Fin l) (F i))
62
+ have h0 : ∀ i, lsupp (F i) q := by
63
+ intro i j hj; obtain ⟨t,ht,rfl⟩ := lsupp_witness hj
64
+ exact h _ _
65
+ have hF : ∀ i,IsLaw (F i) := fun i => mapW_law hw (f i)
66
+ have hV : IsLaw V := mixW_law hμ (fun i => draws_law (hF i))
67
+ have hQ : IsLaw Q := draws_law hq
68
+ have hW : IsLaw W := draws_law hw
69
+ have hk : ∀ i,IsLaw (k i) := fun i => mapW_law hμ _
70
+ have h1 := traj_charge (l:=l) μ F q hμ hF h0
71
+ have h2 : ∀ i,V i=g i+b i := by unfold V F; rw [path_repeat]; exact path_patch W P k
72
+ have hg := path_sub W P k hW.sub hk
73
+ have hb := path_sub W (fun x => ¬ P x) k hW.sub hk
74
+ have h2L : 0 ≤ log (2:ℝ) := (Real.log_pos (by norm_num)).le
75
+ have h3 : tension g Q ≤ C*log 2 := by
76
+ have hz i : g i ≤ bp C*Q i := by
77
+ let c := bp C*Q i
78
+ have hc : 0≤c := mul_nonneg (bp_pos _).le (hQ.nz _)
79
+ have he (j) : ind (P j)*k j i ≤ c := by
80
+ by_cases h : P j
81
+ · rw [ind_one h,one_mul]; exact hP j h i
82
+ rw [ind_zero h,zero_mul]; exact hc
83
+ refine le_trans ?_ (hW.avg_le he)
84
+ simp only [g,mixW,subW,avg,mul_assoc]; rfl
85
+ refine (tension_le_cap hg.1.nz hQ.nz _ (bp_pos _) hz).trans ?_
86
+ rw [log_bp]
87
+ exact (mul_le_mul_of_nonneg_right hg.1.total
88
+ (mul_nonneg hc h2L)).trans_eq (one_mul _)
89
+ have h4 : tension b Q ≤ r*(u*l*log 2) := by
90
+ have hz (i : Fin l → B) : b i ≤ bp (u*l)*Q i := by
91
+ by_cases he : Q i=0
92
+ · have ht (j) : k j i=0 := by
93
+ by_contra h
94
+ obtain ⟨z,hz,rfl⟩ := lsupp_witness h
95
+ have ht : Q (f z ∘ j) ≠ 0 := by
96
+ change ∏ i:Fin l,q (f z (j i)) ≠0
97
+ rw [Finset.prod_ne_zero_iff]; exact fun i _ => ‹∀ i j,q (f i j)≠0› _ _
98
+ exact ht he
99
+ unfold b mixW; simp_rw [ht]; rw [he,avg_zero,mul_zero]
100
+ have hq := traj_cap q hq u hp i he
101
+ refine (hb.1.weight_le_one i).trans ?_
102
+ exact (le_of_eq (by rw [←bp_add,show u*l+ -u*l = 0 by ring,bp_zero])).trans
103
+ (mul_le_mul_of_nonneg_left hq (bp_pos _).le)
104
+ refine (tension_le_cap hb.1.nz hQ.nz _ (bp_pos _) hz).trans ?_
105
+ rw [log_bp]
106
+ exact mul_le_mul_of_nonneg_right (hb.2.le.trans hr)
107
+ (by apply mul_nonneg (by positivity) h2L)
108
+ apply h1.trans
109
+ refine add_le_add_right ?_ _
110
+ have h5 := tension_add_le V g b Q h2 hg.1.nz hb.1.nz
111
+ rw [hV.total] at h5
112
+ linarith only [h5,h4,h3]
113
+ end HadwigerCounterexample
114
+
115
+ end
116
+
117
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ReservedLabels.lean CHANGED
@@ -1,122 +1,122 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FreshGeneratorCorrection
2
-
3
- namespace OAI
4
-
5
- /-! # Reserved Labels -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Module LinearMap Submodule Function Finset
10
- open scoped BigOperators
11
- namespace StatusAnalysis
12
- variable {I L : Type} [DecidableEq L] [DecidableEq I] {d e : ℕ}
13
- open Club
14
- set_option maxHeartbeats 600000 in
15
- theorem fresh_single (C : Club I (Signal d e) L) {s : Straps L} {V}
16
- (h : C.travels s 4 (view d e) V) (x : Signal d e) (hx : x∈V) :
17
- ∃ p:Finset I,C.bundle p s∧ C.contents p=x∧1≤p.card∧p.card≤7 := by
18
- classical
19
- obtain ⟨hh,hC⟩:= C.travel_now h
20
- let Q:= view d e
21
- obtain ⟨i,hi,hI,_⟩:= C.yield_after s Q hC ∅ (by simp) (Q x)
22
- let p : Finset I:= {i}
23
- have hp := C.bundle_one s hi
24
- have hr : C.travels (s⊔ C.addrs p) 3 Q V := C.travel_more h (C.addrs p)
25
- (fun i=>card_image_le.trans (by unfold p; simp : p.card≤1)) (by norm_num)
26
- obtain ⟨q,hq,hQ,hT⟩ := jump_two C hr (ker_two _) (x-C.writes i) (by
27
- constructor
28
- · exact Submodule.sub_mem _ hx (hh ▸ C.band_write s hi)
29
- change Q (x-C.writes i)=0
30
- rw [map_sub,hI,sub_self])
31
- obtain ⟨ha,hb⟩:= C.bundle_combine hp hq
32
- refine ⟨p∪q,ha,?_,?_,(card_union_le ..).trans ?_⟩
33
- · change ∑ j∈p∪q,_=_
34
- rw [sum_union hb, ←show C.contents q=(∑ j∈q,_) from rfl, hT]
35
- simp only [sum_singleton,add_sub_cancel]
36
- · exact card_pos.mpr ⟨i, mem_union_left _ (by simp [p])⟩
37
- simp only [p,card_singleton]
38
- omega
39
-
40
- variable {I : Grid → Type} [∀ i,DecidableEq (I i)] {A B : Rates}
41
- abbrev Congress (I : Grid→Type) (A B : Rates) (L : Type) := ∀ i,Club (I i) (Suite A B i) L
42
- namespace Guild
43
- variable (C : Congress I A B L)
44
- def chapter (s : Straps L) : StatusSp A B := fun i=> (C i).band s
45
- def excess (s : Straps L) := ∑ i:Grid,overage (chapter C s i)
46
-
47
- omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
48
- theorem excess_bound (s : Straps L) : excess C s ≤8 := by
49
- unfold excess
50
- exact (Finset.sum_le_sum (g:=fun _=>2) (fun i _=>overage_two
51
- (chapter C s i))).trans_eq (by norm_num [Grid,Nodes])
52
-
53
- omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
54
- theorem chapter_mono {s t : Straps L} (h : s≤t) (i) :
55
- chapter C t i ≤ chapter C s i := span_mono (fun _ ⟨a,ht,hx⟩=>
56
- ⟨a,(C i).zone_smaller h a ht,hx⟩)
57
-
58
- def rich (C : Congress I A B L) :=
59
- ∀ i:Grid,∀ s:Straps L,sizeB s 902 → ∀ y:View (A i.1) (B i.2),∃ j,
60
- (C i).zone s j ∧ view _ _ ((C i).writes j)=y
61
-
62
- omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
63
- theorem rich_covers (h : rich C) (s : Straps L) (hs : sizeB s 902) (i) :
64
- coverBase (chapter C s i) := by
65
- intro y
66
- obtain ⟨j,hj,hy⟩:=h i s hs y
67
- exact ⟨⟨_, (C i).band_write s hj⟩,hy⟩
68
-
69
- set_option maxHeartbeats 800000 in
70
- omit [∀ i,DecidableEq (I i)] in
71
- theorem stable (h : rich C) :
72
- ∃ s:Straps L,sizeB s 800 ∧
73
- ∀ i:Grid,(C i).travels s 100 (view _ _) (chapter C s i) := by
74
- classical
75
- have hh (k : ℕ) (hk : k≤ 8) (t : Straps L)
76
- (ht : sizeB t ((8-k)*100)) (hb : excess C t≤ k) :
77
- ∃ s:Straps L,sizeB s 800 ∧
78
- ∀ i:Grid,(C i).travels s 100 (view _ _) (chapter C s i) := by
79
- induction k generalizing t with
80
- | zero =>
81
- refine ⟨t,ht,fun i u hu=>?_⟩
82
- let v:=t⊔u
83
- have he : sizeB v 900:= fun i=> (card_union_le ..).trans (Nat.add_le_add (ht i) (hu i))
84
- constructor
85
- · change chapter C v i=chapter C t i
86
- have hm (i:Grid) : overage (chapter C t i)=0 := by
87
- have hy : overage (chapter C t i) ≤ 0 := le_trans (Finset.single_le_sum (s:=Finset.univ)
88
- (fun i _=>Nat.zero_le (overage (chapter C t i))) (Finset.mem_univ i)) hb
89
- exact Nat.eq_zero_of_le_zero hy
90
- exact eq_of_le_of_not_lt (chapter_mono C le_sup_left i) (fun hx=> Nat.not_lt_zero _
91
- ((overage_lt hx (rich_covers C h v (fun i=> (he i).trans (by decide)) i)).trans_eq (hm i)))
92
- intro w hw y
93
- exact h i (v⊔w) (fun i=> (card_union_le ..).trans (Nat.add_le_add (he i) (hw i))) y
94
- | succ k ih =>
95
- have hT : sizeB t 800 := fun i=> (ht i).trans (by omega)
96
- by_cases hE : ∃ (s:Straps L), sizeB s 100∧∃ i:Grid, chapter C (t⊔s) i < chapter C t i
97
- · obtain ⟨u,hu,i,hU⟩:=hE
98
- let s:=t⊔u
99
- have he : sizeB s ((8-k)*100):= fun i=> (card_union_le ..).trans
100
- ((Nat.add_le_add (ht i) (hu i)).trans (by omega))
101
- refine ih (by omega) s he ?_
102
- have hS : excess C s < excess C t := by
103
- unfold excess
104
- have h1 := overage_lt hU (rich_covers C h s (fun i=> (he i).trans (by omega)) i)
105
- exact Finset.sum_lt_sum (fun i _=> overage_mono (chapter_mono C le_sup_left i))
106
- ⟨i,mem_univ _,h1⟩
107
- omega
108
- refine ⟨t,hT,fun i u hu=>?_⟩
109
- constructor
110
- · exact eq_of_le_of_not_lt (chapter_mono C (s:=t) (t:=t⊔u) le_sup_left i) (fun hx =>
111
- hE ⟨u,hu,i,hx⟩)
112
- intro w hw y
113
- have he : sizeB (t⊔u) 900:= fun i=> (card_union_le ..).trans (Nat.add_le_add (hT i) (hu i))
114
- exact h i ((t⊔u)⊔w) (fun i=> (card_union_le ..).trans (Nat.add_le_add (he i) (hw i))) y
115
- exact hh 8 (Nat.le_refl _) ⊥ (by intro i; change (∅:Finset L).card ≤_; simp) (excess_bound C _)
116
- end Guild
117
- end StatusAnalysis
118
- end HadwigerCounterexample
119
-
120
- end
121
-
122
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FreshGeneratorCorrection
2
+
3
+ namespace OAI
4
+
5
+ /-! # Reserved Labels -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Module LinearMap Submodule Function Finset
10
+ open scoped BigOperators
11
+ namespace StatusAnalysis
12
+ variable {I L : Type} [DecidableEq L] [DecidableEq I] {d e : ℕ}
13
+ open Club
14
+ set_option maxHeartbeats 600000 in
15
+ theorem fresh_single (C : Club I (Signal d e) L) {s : Straps L} {V}
16
+ (h : C.travels s 4 (view d e) V) (x : Signal d e) (hx : x∈V) :
17
+ ∃ p:Finset I,C.bundle p s∧ C.contents p=x∧1≤p.card∧p.card≤7 := by
18
+ classical
19
+ obtain ⟨hh,hC⟩:= C.travel_now h
20
+ let Q:= view d e
21
+ obtain ⟨i,hi,hI,_⟩:= C.yield_after s Q hC ∅ (by simp) (Q x)
22
+ let p : Finset I:= {i}
23
+ have hp := C.bundle_one s hi
24
+ have hr : C.travels (s⊔ C.addrs p) 3 Q V := C.travel_more h (C.addrs p)
25
+ (fun i=>card_image_le.trans (by unfold p; simp : p.card≤1)) (by norm_num)
26
+ obtain ⟨q,hq,hQ,hT⟩ := jump_two C hr (ker_two _) (x-C.writes i) (by
27
+ constructor
28
+ · exact Submodule.sub_mem _ hx (hh ▸ C.band_write s hi)
29
+ change Q (x-C.writes i)=0
30
+ rw [map_sub,hI,sub_self])
31
+ obtain ⟨ha,hb⟩:= C.bundle_combine hp hq
32
+ refine ⟨p∪q,ha,?_,?_,(card_union_le ..).trans ?_⟩
33
+ · change ∑ j∈p∪q,_=_
34
+ rw [sum_union hb, ←show C.contents q=(∑ j∈q,_) from rfl, hT]
35
+ simp only [sum_singleton,add_sub_cancel]
36
+ · exact card_pos.mpr ⟨i, mem_union_left _ (by simp [p])⟩
37
+ simp only [p,card_singleton]
38
+ omega
39
+
40
+ variable {I : Grid → Type} [∀ i,DecidableEq (I i)] {A B : Rates}
41
+ abbrev Congress (I : Grid→Type) (A B : Rates) (L : Type) := ∀ i,Club (I i) (Suite A B i) L
42
+ namespace Guild
43
+ variable (C : Congress I A B L)
44
+ def chapter (s : Straps L) : StatusSp A B := fun i=> (C i).band s
45
+ def excess (s : Straps L) := ∑ i:Grid,overage (chapter C s i)
46
+
47
+ omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
48
+ theorem excess_bound (s : Straps L) : excess C s ≤8 := by
49
+ unfold excess
50
+ exact (Finset.sum_le_sum (g:=fun _=>2) (fun i _=>overage_two
51
+ (chapter C s i))).trans_eq (by norm_num [Grid,Nodes])
52
+
53
+ omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
54
+ theorem chapter_mono {s t : Straps L} (h : s≤t) (i) :
55
+ chapter C t i ≤ chapter C s i := span_mono (fun _ ⟨a,ht,hx⟩=>
56
+ ⟨a,(C i).zone_smaller h a ht,hx⟩)
57
+
58
+ def rich (C : Congress I A B L) :=
59
+ ∀ i:Grid,∀ s:Straps L,sizeB s 902 → ∀ y:View (A i.1) (B i.2),∃ j,
60
+ (C i).zone s j ∧ view _ _ ((C i).writes j)=y
61
+
62
+ omit [DecidableEq L] [∀ i,DecidableEq (I i)] in
63
+ theorem rich_covers (h : rich C) (s : Straps L) (hs : sizeB s 902) (i) :
64
+ coverBase (chapter C s i) := by
65
+ intro y
66
+ obtain ⟨j,hj,hy⟩:=h i s hs y
67
+ exact ⟨⟨_, (C i).band_write s hj⟩,hy⟩
68
+
69
+ set_option maxHeartbeats 800000 in
70
+ omit [∀ i,DecidableEq (I i)] in
71
+ theorem stable (h : rich C) :
72
+ ∃ s:Straps L,sizeB s 800 ∧
73
+ ∀ i:Grid,(C i).travels s 100 (view _ _) (chapter C s i) := by
74
+ classical
75
+ have hh (k : ℕ) (hk : k≤ 8) (t : Straps L)
76
+ (ht : sizeB t ((8-k)*100)) (hb : excess C t≤ k) :
77
+ ∃ s:Straps L,sizeB s 800 ∧
78
+ ∀ i:Grid,(C i).travels s 100 (view _ _) (chapter C s i) := by
79
+ induction k generalizing t with
80
+ | zero =>
81
+ refine ⟨t,ht,fun i u hu=>?_⟩
82
+ let v:=t⊔u
83
+ have he : sizeB v 900:= fun i=> (card_union_le ..).trans (Nat.add_le_add (ht i) (hu i))
84
+ constructor
85
+ · change chapter C v i=chapter C t i
86
+ have hm (i:Grid) : overage (chapter C t i)=0 := by
87
+ have hy : overage (chapter C t i) ≤ 0 := le_trans (Finset.single_le_sum (s:=Finset.univ)
88
+ (fun i _=>Nat.zero_le (overage (chapter C t i))) (Finset.mem_univ i)) hb
89
+ exact Nat.eq_zero_of_le_zero hy
90
+ exact eq_of_le_of_not_lt (chapter_mono C le_sup_left i) (fun hx=> Nat.not_lt_zero _
91
+ ((overage_lt hx (rich_covers C h v (fun i=> (he i).trans (by decide)) i)).trans_eq (hm i)))
92
+ intro w hw y
93
+ exact h i (v⊔w) (fun i=> (card_union_le ..).trans (Nat.add_le_add (he i) (hw i))) y
94
+ | succ k ih =>
95
+ have hT : sizeB t 800 := fun i=> (ht i).trans (by omega)
96
+ by_cases hE : ∃ (s:Straps L), sizeB s 100∧∃ i:Grid, chapter C (t⊔s) i < chapter C t i
97
+ · obtain ⟨u,hu,i,hU⟩:=hE
98
+ let s:=t⊔u
99
+ have he : sizeB s ((8-k)*100):= fun i=> (card_union_le ..).trans
100
+ ((Nat.add_le_add (ht i) (hu i)).trans (by omega))
101
+ refine ih (by omega) s he ?_
102
+ have hS : excess C s < excess C t := by
103
+ unfold excess
104
+ have h1 := overage_lt hU (rich_covers C h s (fun i=> (he i).trans (by omega)) i)
105
+ exact Finset.sum_lt_sum (fun i _=> overage_mono (chapter_mono C le_sup_left i))
106
+ ⟨i,mem_univ _,h1⟩
107
+ omega
108
+ refine ⟨t,hT,fun i u hu=>?_⟩
109
+ constructor
110
+ · exact eq_of_le_of_not_lt (chapter_mono C (s:=t) (t:=t⊔u) le_sup_left i) (fun hx =>
111
+ hE ⟨u,hu,i,hx⟩)
112
+ intro w hw y
113
+ have he : sizeB (t⊔u) 900:= fun i=> (card_union_le ..).trans (Nat.add_le_add (hT i) (hu i))
114
+ exact h i ((t⊔u)⊔w) (fun i=> (card_union_le ..).trans (Nat.add_le_add (he i) (hw i))) y
115
+ exact hh 8 (Nat.le_refl _) ⊥ (by intro i; change (∅:Finset L).card ≤_; simp) (excess_bound C _)
116
+ end Guild
117
+ end StatusAnalysis
118
+ end HadwigerCounterexample
119
+
120
+ end
121
+
122
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ResidualCutPairs.lean CHANGED
@@ -1,202 +1,202 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.AttackCutDecomposition
2
-
3
- namespace OAI
4
-
5
- /-! # Residual Cut Pairs -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open scoped BigOperators
10
- open Matrix LinearMap Submodule Module Finset
11
- variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
- namespace Volley
13
-
14
- def CleanRay (v : Volley p n I) (i : Bool) (R : ℕ) (x : Ray p n) :=
15
- ∃ (L : Finset (Label p.b)) (u : LabVals p n), x=labcomb p n L u ∧ L.card≤R ∧
16
- Disjoint L (v.marked i)
17
-
18
- variable {v : Volley p n I}
19
- private theorem clean_apply {i : Bool} {R : ℕ} {M : Moment p n} (h : v.clean i R M) (x : Ray p n) :
20
- v.CleanRay i R (M *ᵥ x) := by
21
- classical
22
- obtain ⟨L,Z,rfl,hL,ht⟩ := h
23
- refine ⟨L,(fun s => Z s *ᵥ ((labMat p n s)ᵀ *ᵥ x)),?_,hL,ht⟩
24
- rw [labcomb_eval,labelSum,Matrix.sum_mulVec]
25
- refine Finset.sum_congr rfl fun i _ => ?_
26
- simp only [mput,liftM_def,←Matrix.mulVec_mulVec]
27
- rw [labMat_act]
28
-
29
- private theorem clean_zero (v : Volley p n I) (i : Bool) (R : ℕ) :
30
- v.CleanRay i R 0 :=
31
- ⟨∅,0,(map_zero _).symm,by simp,by simp⟩
32
-
33
- /-- Key coefficients cannot contribute to a short nonattack primal
34
- combination even if only the primal projection is specified. -/
35
- private theorem clean_proj {w : I → Bool} {a : Plan p n} (t : Tagging p I) {R q : ℕ}
36
- (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
37
- (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
38
- (b : Vec (visits p t z.1)) (he : x-(IP p n i)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b) ∈ sPin a z i) :
39
- ∀ j∈v.visitH t i z.1,b j = 0 := by
40
- classical
41
- let K := v.visitH t i z.1
42
- obtain ⟨B,hB,hE,hG,hsel⟩ := hv i
43
- obtain ⟨L,u,hx,hL,hdis⟩ := hx
44
- let s (j : visits p t z.1) := v.sel j.val
45
- let T := K.image s
46
- have hk (i' : visits p t z.1) (h : i'∈K) : i'.val∈v.here i :=
47
- (v.visitH_here ..).mp h
48
- have hs : Set.InjOn s (K : Set _) := by
49
- intro x hx y hy h
50
- exact Subtype.ext (hsel (hk _ hx) (hk _ hy) h)
51
- obtain ⟨y,hy,hZ⟩ := point_comb K s (v.par ∘ Subtype.val) b hs
52
- rw [key_proj] at he
53
- let r : LabVals p n := withinL p L u - withinL p T y
54
- have h : labcomb p n (L∪T) r∈sPin a z i := by
55
- rw [show r =_ - _ from rfl,map_sub,← within_eq subset_union_left u,
56
- ← within_eq subset_union_right y,← hx, show labcomb p n T y =_ from hZ.symm]
57
- exact he
58
- have hh : (L∪T).card≤q :=
59
- (Finset.card_union_le ..).trans ((Nat.add_le_add hL (Finset.card_image_le.trans
60
- (v.visitH_card hb t i z.1))).trans hr)
61
- intro j hj
62
- have hj' : s j ∈ T := mem_image_of_mem s hj
63
- have hj'' : s j ∉ L := fun hh => Finset.disjoint_left.mp hdis hh
64
- (mem_image_of_mem _ (hk j hj))
65
- have hy' := hB z (L∪T) r h hh _ (mem_union_right _ hj') (hE _ (hk _ hj))
66
- unfold r withinL at hy'
67
- simp only [Pi.sub_apply,ite_eq_right hj'',ite_eq_left hj',hy j hj,zero_sub,neg_eq_zero] at hy'
68
- simpa only [Function.comp_apply,Pi.zero_apply,Pi.smul_apply,smul_eq_mul,baseV,
69
- Option.elim',mul_one] using congr_fun hy' none
70
-
71
- private theorem clean_sPin {w : I → Bool} {a : Plan p n} (t : Tagging p I) {R q : ℕ}
72
- (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
73
- (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
74
- (hg : x∈sPin (v.frozen a t) z i) :
75
- x∈sPin a z i := by
76
- classical
77
- rw [sPin_frozen,Submodule.mem_sup] at hg
78
- obtain ⟨y,hy,q',⟨q',⟨b,rfl⟩,rfl⟩,hX⟩ := hg
79
- have he : x - ((IP p n i)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b))=y := by
80
- rw [← hX]; exact add_sub_cancel_right _ _
81
- have h := clean_proj t hb hv hr x z i hx b (he ▸ hy)
82
- rw [key_proj,Finset.sum_eq_zero (fun j hj => by rw [h j hj,zero_smul]),sub_zero] at he
83
- rwa [he]
84
-
85
- private theorem clean_Pin {w : I→Bool} {a : Plan p n} (t : Tagging p I)
86
- {R q : ℕ} (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
87
- (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
88
- (hg : IP p n i *ᵥ x ∈ v.frozen a t z) :
89
- IP p n i *ᵥ x∈a z := by
90
- classical
91
- obtain ⟨d,hd,q',⟨b,rfl⟩,hX⟩ := Submodule.mem_sup.mp
92
- (show IP p n i *ᵥ x∈a z ⊔ v.keyPlan t z from hg)
93
- let f (k : Bool) := (IP p n k)ᵀ
94
- have hzero : b=0 := by
95
- funext j
96
- let k := v.obj j.val
97
- let x' := f k *ᵥ (IP p n i *ᵥ x)
98
- have h : x' - ((IP p n k)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b))∈sPin a z k := by
99
- unfold x'
100
- rw [← hX,Matrix.mulVec_add]
101
- change f k *ᵥ d + _ - f k *ᵥ (_ *ᵥ _) ∈ _
102
- rw [mulVecLin_apply,add_sub_cancel_right]
103
- exact ⟨d,hd,rfl⟩
104
- have h' : v.CleanRay k R x' := by
105
- unfold x' f; rw [Matrix.mulVec_mulVec]
106
- by_cases h : k=i
107
- · rw [h,IP_self,Matrix.one_mulVec]
108
- exact hx
109
- rw [IP_cross h,Matrix.zero_mulVec]; exact clean_zero v k R
110
- exact clean_proj t hb hv hr x' z k h' b h j (mem_filter.mpr ⟨mem_univ _,rfl⟩)
111
- rw [hzero,map_zero,add_zero] at hX
112
- rwa [← hX]
113
-
114
- end Volley
115
-
116
- theorem orth_delta_probe {f b : Plan p n} {x : Xpair p n} {C : ChanOut p n} {j}
117
- (h : orth p C f b j x) (i : Bool) (z : Place p) (φ : Ray p n)
118
- (hφ : φ∈annih (sPin f (flipZ p z) i)) :
119
- C z *ᵥ (IP p n i *ᵥ ((x i).val z.1 *ᵥ φ)) ∈ hPin b z j := by
120
- classical
121
- rw [← annih_annih (hPin b z j), annih_mem]
122
- intro y hy
123
- rw [← pure_ip]
124
- let Q := IP p n i *ᵥ φ
125
- have hQ := (ip_annih ..).mpr hφ
126
- let D : ChanOut p n := Pi.single (flipZ p z) (vecMulVec y Q)
127
- have hD : D∈deltaSpace p f b j := by
128
- refine (deltaSpace_mem _).mpr (fun z' => ?_)
129
- by_cases hz : z'=flipZ p z
130
- · subst z'
131
- unfold D; rw [Pi.single_eq_same,flipZ_flip]
132
- exact outer_in_box y Q hy hQ
133
- simp [D,hz]
134
- have hg := h D hD 0 (Submodule.zero_mem _)
135
- change ∑ i, mpair ((chanDeriv p C D+0) i) (purePair p n x i) = _ at hg
136
- rw [add_zero,Finset.sum_eq_single z.1] at hg
137
- · let T := (C z)ᵀ * vecMulVec y Q
138
- let X := purePair p n x z.1
139
- have hh : mpair T X = dotProduct (C z *ᵥ (X *ᵥ Q)) y := by
140
- unfold T; rw [mul_vecMulVec,mpair_comm,mpair_outer,evmat]
141
- rw [dotProduct_comm, dotProduct_transpose_mulVec,dotProduct_comm]
142
- change dotProduct (C z *ᵥ (X *ᵥ Q)) y = _
143
- rw [← hh]
144
- have hZ : z≠flipZ p z := by cases z with | mk e c => cases c <;> simp [flipZ]
145
- have h1 : D z=0 := Pi.single_eq_of_ne hZ _
146
- have h2 : D (flipZ p z)=vecMulVec y Q := Pi.single_eq_same _ _
147
- rcases z with ⟨e,c|c⟩
148
- · change mpair ((C (e,true))ᵀ * D (e,false)+(D (e,true))ᵀ * C (e,false)) X=0 at hg
149
- change D (e,true)=_ at h2
150
- rw [h1,h2,Matrix.mul_zero,zero_add,transpose_vecMulVec,vecMulVec_mul] at hg
151
- unfold T; rw [mul_vecMulVec, Matrix.mulVec_transpose,mpair_comm,mpair_outer,
152
- ←evmat_transpose, show Xᵀ=X from purePair_sym x e]
153
- rw [mpair_comm,mpair_outer] at hg
154
- exact hg
155
- change mpair ((C (e,true))ᵀ * D (e,false)+(D (e,true))ᵀ * C (e,false)) X=0 at hg
156
- change D (e,false)=_ at h2
157
- rw [h1,Matrix.transpose_zero,Matrix.zero_mul,add_zero,h2] at hg
158
- exact hg
159
- · intro k _ hk
160
- have h1 (i : Bool) : D (k,i)=0 := Pi.single_eq_of_ne (show (_,_)≠flipZ p z from
161
- fun hh => hk (congrArg Prod.fst hh)) _
162
- simp only [chanDeriv,chanInner,Pi.add_apply,h1,Matrix.transpose_zero,Matrix.mul_zero,
163
- Matrix.zero_mul,zero_add]
164
- rw [mpair_comm,map_zero]
165
- simp
166
-
167
- namespace Volley
168
- variable {v : Volley p n I}
169
- theorem clean_effective {w : I→Bool} {a b : Plan p n} (t : Tagging p I)
170
- {q R : ℕ} (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14≤q)
171
- {j : Bool} (M : Cross p n) (x : Xpair p n)
172
- (hh : orth p (channelOut p M j) (v.frozen a t) b j x)
173
- (hg : tableInj a b M) (i : Bool) (hx : ∀ e,v.clean i R ((x i).val e)) :
174
- (x i).val∈effective a i := by
175
- classical
176
- refine effective_mem.mpr ⟨(x i).property,fun e => ?_⟩
177
- let A := (x i).val e
178
- let S (z) := sPin (v.frozen a t) (e,z) i
179
- have hd (c : Bool) (φ : Ray p n) (hφ : φ∈annih (S (!c))) : A *ᵥ φ=0 := by
180
- have hray := clean_apply (hx e) φ
181
- have hm := orth_ip_frozen hh i (e,c) φ hφ
182
- exact hg (e,c) i j (A *ᵥ φ) (clean_Pin t hb hv hr _ _ i hray hm)
183
- (orth_delta_probe hh i (e,c) φ hφ)
184
- have hsym : Aᵀ=A := orth_pair_sym x e i
185
- have h (c : Bool) : colSp A ≤ sPin a (e,c) i := by
186
- have hh' : colSp A ≤ S c := by
187
- have hf : colSp A ≤ annih (annih (S c)) := (colSp_kill ..).mpr (fun φ hφ => by
188
- rw [hsym]
189
- exact hd (!c) φ (by simpa using hφ))
190
- rwa [annih_annih] at hf
191
- rintro x' ⟨y,rfl⟩
192
- exact clean_sPin t hb hv hr _ _ i (clean_apply (hx e) y) (hh' ⟨y,rfl⟩)
193
- change A∈box _ _
194
- rw [box_mem,hsym]
195
- exact ⟨h _,h _⟩
196
-
197
- end Volley
198
- end HadwigerCounterexample
199
-
200
- end
201
-
202
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.AttackCutDecomposition
2
+
3
+ namespace OAI
4
+
5
+ /-! # Residual Cut Pairs -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open scoped BigOperators
10
+ open Matrix LinearMap Submodule Module Finset
11
+ variable {p : Shape} {n : ℕ} {I : Type} [Fintype I]
12
+ namespace Volley
13
+
14
+ def CleanRay (v : Volley p n I) (i : Bool) (R : ℕ) (x : Ray p n) :=
15
+ ∃ (L : Finset (Label p.b)) (u : LabVals p n), x=labcomb p n L u ∧ L.card≤R ∧
16
+ Disjoint L (v.marked i)
17
+
18
+ variable {v : Volley p n I}
19
+ private theorem clean_apply {i : Bool} {R : ℕ} {M : Moment p n} (h : v.clean i R M) (x : Ray p n) :
20
+ v.CleanRay i R (M *ᵥ x) := by
21
+ classical
22
+ obtain ⟨L,Z,rfl,hL,ht⟩ := h
23
+ refine ⟨L,(fun s => Z s *ᵥ ((labMat p n s)ᵀ *ᵥ x)),?_,hL,ht⟩
24
+ rw [labcomb_eval,labelSum,Matrix.sum_mulVec]
25
+ refine Finset.sum_congr rfl fun i _ => ?_
26
+ simp only [mput,liftM_def,←Matrix.mulVec_mulVec]
27
+ rw [labMat_act]
28
+
29
+ private theorem clean_zero (v : Volley p n I) (i : Bool) (R : ℕ) :
30
+ v.CleanRay i R 0 :=
31
+ ⟨∅,0,(map_zero _).symm,by simp,by simp⟩
32
+
33
+ /-- Key coefficients cannot contribute to a short nonattack primal
34
+ combination even if only the primal projection is specified. -/
35
+ private theorem clean_proj {w : I → Bool} {a : Plan p n} (t : Tagging p I) {R q : ℕ}
36
+ (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
37
+ (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
38
+ (b : Vec (visits p t z.1)) (he : x-(IP p n i)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b) ∈ sPin a z i) :
39
+ ∀ j∈v.visitH t i z.1,b j = 0 := by
40
+ classical
41
+ let K := v.visitH t i z.1
42
+ obtain ⟨B,hB,hE,hG,hsel⟩ := hv i
43
+ obtain ⟨L,u,hx,hL,hdis⟩ := hx
44
+ let s (j : visits p t z.1) := v.sel j.val
45
+ let T := K.image s
46
+ have hk (i' : visits p t z.1) (h : i'∈K) : i'.val∈v.here i :=
47
+ (v.visitH_here ..).mp h
48
+ have hs : Set.InjOn s (K : Set _) := by
49
+ intro x hx y hy h
50
+ exact Subtype.ext (hsel (hk _ hx) (hk _ hy) h)
51
+ obtain ⟨y,hy,hZ⟩ := point_comb K s (v.par ∘ Subtype.val) b hs
52
+ rw [key_proj] at he
53
+ let r : LabVals p n := withinL p L u - withinL p T y
54
+ have h : labcomb p n (L∪T) r∈sPin a z i := by
55
+ rw [show r =_ - _ from rfl,map_sub,← within_eq subset_union_left u,
56
+ ← within_eq subset_union_right y,← hx, show labcomb p n T y =_ from hZ.symm]
57
+ exact he
58
+ have hh : (L∪T).card≤q :=
59
+ (Finset.card_union_le ..).trans ((Nat.add_le_add hL (Finset.card_image_le.trans
60
+ (v.visitH_card hb t i z.1))).trans hr)
61
+ intro j hj
62
+ have hj' : s j ∈ T := mem_image_of_mem s hj
63
+ have hj'' : s j ∉ L := fun hh => Finset.disjoint_left.mp hdis hh
64
+ (mem_image_of_mem _ (hk j hj))
65
+ have hy' := hB z (L∪T) r h hh _ (mem_union_right _ hj') (hE _ (hk _ hj))
66
+ unfold r withinL at hy'
67
+ simp only [Pi.sub_apply,ite_eq_right hj'',ite_eq_left hj',hy j hj,zero_sub,neg_eq_zero] at hy'
68
+ simpa only [Function.comp_apply,Pi.zero_apply,Pi.smul_apply,smul_eq_mul,baseV,
69
+ Option.elim',mul_one] using congr_fun hy' none
70
+
71
+ private theorem clean_sPin {w : I → Bool} {a : Plan p n} (t : Tagging p I) {R q : ℕ}
72
+ (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
73
+ (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
74
+ (hg : x∈sPin (v.frozen a t) z i) :
75
+ x∈sPin a z i := by
76
+ classical
77
+ rw [sPin_frozen,Submodule.mem_sup] at hg
78
+ obtain ⟨y,hy,q',⟨q',⟨b,rfl⟩,rfl⟩,hX⟩ := hg
79
+ have he : x - ((IP p n i)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b))=y := by
80
+ rw [← hX]; exact add_sub_cancel_right _ _
81
+ have h := clean_proj t hb hv hr x z i hx b (he ▸ hy)
82
+ rw [key_proj,Finset.sum_eq_zero (fun j hj => by rw [h j hj,zero_smul]),sub_zero] at he
83
+ rwa [he]
84
+
85
+ private theorem clean_Pin {w : I→Bool} {a : Plan p n} (t : Tagging p I)
86
+ {R q : ℕ} (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14 ≤ q)
87
+ (x : Ray p n) (z : Place p) (i : Bool) (hx : v.CleanRay i R x)
88
+ (hg : IP p n i *ᵥ x ∈ v.frozen a t z) :
89
+ IP p n i *ᵥ x∈a z := by
90
+ classical
91
+ obtain ⟨d,hd,q',⟨b,rfl⟩,hX⟩ := Submodule.mem_sup.mp
92
+ (show IP p n i *ᵥ x∈a z ⊔ v.keyPlan t z from hg)
93
+ let f (k : Bool) := (IP p n k)ᵀ
94
+ have hzero : b=0 := by
95
+ funext j
96
+ let k := v.obj j.val
97
+ let x' := f k *ᵥ (IP p n i *ᵥ x)
98
+ have h : x' - ((IP p n k)ᵀ *ᵥ (v.keyM t z.1 *ᵥ b))∈sPin a z k := by
99
+ unfold x'
100
+ rw [← hX,Matrix.mulVec_add]
101
+ change f k *ᵥ d + _ - f k *ᵥ (_ *ᵥ _) ∈ _
102
+ rw [mulVecLin_apply,add_sub_cancel_right]
103
+ exact ⟨d,hd,rfl⟩
104
+ have h' : v.CleanRay k R x' := by
105
+ unfold x' f; rw [Matrix.mulVec_mulVec]
106
+ by_cases h : k=i
107
+ · rw [h,IP_self,Matrix.one_mulVec]
108
+ exact hx
109
+ rw [IP_cross h,Matrix.zero_mulVec]; exact clean_zero v k R
110
+ exact clean_proj t hb hv hr x' z k h' b h j (mem_filter.mpr ⟨mem_univ _,rfl⟩)
111
+ rw [hzero,map_zero,add_zero] at hX
112
+ rwa [← hX]
113
+
114
+ end Volley
115
+
116
+ theorem orth_delta_probe {f b : Plan p n} {x : Xpair p n} {C : ChanOut p n} {j}
117
+ (h : orth p C f b j x) (i : Bool) (z : Place p) (φ : Ray p n)
118
+ (hφ : φ∈annih (sPin f (flipZ p z) i)) :
119
+ C z *ᵥ (IP p n i *ᵥ ((x i).val z.1 *ᵥ φ)) ∈ hPin b z j := by
120
+ classical
121
+ rw [← annih_annih (hPin b z j), annih_mem]
122
+ intro y hy
123
+ rw [← pure_ip]
124
+ let Q := IP p n i *ᵥ φ
125
+ have hQ := (ip_annih ..).mpr hφ
126
+ let D : ChanOut p n := Pi.single (flipZ p z) (vecMulVec y Q)
127
+ have hD : D∈deltaSpace p f b j := by
128
+ refine (deltaSpace_mem _).mpr (fun z' => ?_)
129
+ by_cases hz : z'=flipZ p z
130
+ · subst z'
131
+ unfold D; rw [Pi.single_eq_same,flipZ_flip]
132
+ exact outer_in_box y Q hy hQ
133
+ simp [D,hz]
134
+ have hg := h D hD 0 (Submodule.zero_mem _)
135
+ change ∑ i, mpair ((chanDeriv p C D+0) i) (purePair p n x i) = _ at hg
136
+ rw [add_zero,Finset.sum_eq_single z.1] at hg
137
+ · let T := (C z)ᵀ * vecMulVec y Q
138
+ let X := purePair p n x z.1
139
+ have hh : mpair T X = dotProduct (C z *ᵥ (X *ᵥ Q)) y := by
140
+ unfold T; rw [mul_vecMulVec,mpair_comm,mpair_outer,evmat]
141
+ rw [dotProduct_comm, dotProduct_transpose_mulVec,dotProduct_comm]
142
+ change dotProduct (C z *ᵥ (X *ᵥ Q)) y = _
143
+ rw [← hh]
144
+ have hZ : z≠flipZ p z := by cases z with | mk e c => cases c <;> simp [flipZ]
145
+ have h1 : D z=0 := Pi.single_eq_of_ne hZ _
146
+ have h2 : D (flipZ p z)=vecMulVec y Q := Pi.single_eq_same _ _
147
+ rcases z with ⟨e,c|c⟩
148
+ · change mpair ((C (e,true))ᵀ * D (e,false)+(D (e,true))ᵀ * C (e,false)) X=0 at hg
149
+ change D (e,true)=_ at h2
150
+ rw [h1,h2,Matrix.mul_zero,zero_add,transpose_vecMulVec,vecMulVec_mul] at hg
151
+ unfold T; rw [mul_vecMulVec, Matrix.mulVec_transpose,mpair_comm,mpair_outer,
152
+ ←evmat_transpose, show Xᵀ=X from purePair_sym x e]
153
+ rw [mpair_comm,mpair_outer] at hg
154
+ exact hg
155
+ change mpair ((C (e,true))ᵀ * D (e,false)+(D (e,true))ᵀ * C (e,false)) X=0 at hg
156
+ change D (e,false)=_ at h2
157
+ rw [h1,Matrix.transpose_zero,Matrix.zero_mul,add_zero,h2] at hg
158
+ exact hg
159
+ · intro k _ hk
160
+ have h1 (i : Bool) : D (k,i)=0 := Pi.single_eq_of_ne (show (_,_)≠flipZ p z from
161
+ fun hh => hk (congrArg Prod.fst hh)) _
162
+ simp only [chanDeriv,chanInner,Pi.add_apply,h1,Matrix.transpose_zero,Matrix.mul_zero,
163
+ Matrix.zero_mul,zero_add]
164
+ rw [mpair_comm,map_zero]
165
+ simp
166
+
167
+ namespace Volley
168
+ variable {v : Volley p n I}
169
+ theorem clean_effective {w : I→Bool} {a b : Plan p n} (t : Tagging p I)
170
+ {q R : ℕ} (hb : v.bounded w) (hv : v.avoids a q) (hr : R+14≤q)
171
+ {j : Bool} (M : Cross p n) (x : Xpair p n)
172
+ (hh : orth p (channelOut p M j) (v.frozen a t) b j x)
173
+ (hg : tableInj a b M) (i : Bool) (hx : ∀ e,v.clean i R ((x i).val e)) :
174
+ (x i).val∈effective a i := by
175
+ classical
176
+ refine effective_mem.mpr ⟨(x i).property,fun e => ?_⟩
177
+ let A := (x i).val e
178
+ let S (z) := sPin (v.frozen a t) (e,z) i
179
+ have hd (c : Bool) (φ : Ray p n) (hφ : φ∈annih (S (!c))) : A *ᵥ φ=0 := by
180
+ have hray := clean_apply (hx e) φ
181
+ have hm := orth_ip_frozen hh i (e,c) φ hφ
182
+ exact hg (e,c) i j (A *ᵥ φ) (clean_Pin t hb hv hr _ _ i hray hm)
183
+ (orth_delta_probe hh i (e,c) φ hφ)
184
+ have hsym : Aᵀ=A := orth_pair_sym x e i
185
+ have h (c : Bool) : colSp A ≤ sPin a (e,c) i := by
186
+ have hh' : colSp A ≤ S c := by
187
+ have hf : colSp A ≤ annih (annih (S c)) := (colSp_kill ..).mpr (fun φ hφ => by
188
+ rw [hsym]
189
+ exact hd (!c) φ (by simpa using hφ))
190
+ rwa [annih_annih] at hf
191
+ rintro x' ⟨y,rfl⟩
192
+ exact clean_sPin t hb hv hr _ _ i (clean_apply (hx e) y) (hh' ⟨y,rfl⟩)
193
+ change A∈box _ _
194
+ rw [box_mem,hsym]
195
+ exact ⟨h _,h _⟩
196
+
197
+ end Volley
198
+ end HadwigerCounterexample
199
+
200
+ end
201
+
202
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ResidualRegularity.lean CHANGED
@@ -1,107 +1,107 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RectangleRegularity
2
-
3
- namespace OAI
4
-
5
- /-! # Residual Regularity -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix LinearMap Function Filter Real
10
- open scoped BigOperators
11
- variable {A B I : Type} [Fintype A] [Fintype B] [Fintype I]
12
-
13
- def wanes (u : Wgt I) (w : Wgt A) (f : I→Wgt A) (p : A→B) (ε : ℝ) :=
14
- ∀ h : Wgt A,(∀ x,|h x| ≤ 1) →
15
- avg u (fun i => |dip w (fun x=> f i x - banner w p (f i) x) h|) ≤ ε
16
- def hits (u : Wgt I) (w : Wgt A) (f : I→ Wgt A) (p : A→ B) :=
17
- avg u (fun i => ode w (banner w p (f i)))
18
-
19
- private def twistSign (b : ℝ) := decide (0≤ b)
20
- private theorem twistabs (b : ℝ) : b*swab (twistSign b)=|b| := by
21
- classical by_cases h : 0≤b <;> simp [swab,twistSign,h,abs_of_nonneg,abs_of_neg,lt_of_not_ge]
22
-
23
- set_option maxHeartbeats 600000 in
24
- theorem tilt_test (w : Wgt A) (u : Wgt I) (hu : ∀ i,0 ≤ u i) (f : I → Wgt A) (h : Wgt A)
25
- (hh : ∀ x,|h x|≤1) :
26
- ∃ p : A→Bool, avg u (fun i=>|dip w (f i) h|) ≤ avg u (fun i => |dip w (f i) (swab∘ p)|) := by
27
- classical
28
- let q (i:I) := swab (twistSign (dip w (f i) h))
29
- let V (x) := avg u (fun i=> f i x * q i)
30
- have hx (h : Wgt A) :
31
- avg u (fun i=> dip w (f i) h * q i)=dip w V h := by
32
- unfold V dip; simp_rw [← avg_mul]
33
- rw [avg_avg]
34
- refine avg_congr fun i _=> avg_congr fun j _=>by ring
35
- let p (x:A) := twistSign (w x*V x)
36
- refine ⟨p,?_⟩
37
- have hV : dip w V h ≤ dip w V (swab ∘ p) := by
38
- unfold dip avg; refine Finset.sum_le_sum fun i _=> ?_
39
- dsimp only [Function.comp_apply,p]
40
- set t := w i*V i with ht
41
- rw [←mul_assoc,←mul_assoc,←ht,twistabs]
42
- refine (le_abs_self _).trans ?_
43
- rw [abs_mul]
44
- exact (mul_le_mul_of_nonneg_left (hh _) (abs_nonneg _)).trans_eq (mul_one _)
45
- have h0 i :
46
- |dip w (f i) h|=dip w (f i) h*q i := (twistabs ..).symm
47
- simp_rw [h0,hx]; rw [←hx (swab ∘ p)] at hV
48
- apply le_trans hV
49
- apply avg_mono hu
50
- intro i
51
- rw [← show |dip w (f i) (swab∘p)* q i|=|dip w (f i) (swab∘p)| by rw [abs_mul,swab_abs,mul_one]]
52
- exact le_abs_self _
53
-
54
- theorem mean_sq (u : Wgt I) (hu : IsLaw u) (f : Wgt I) :
55
- avg u f ^ 2 ≤ avg u (fun i=> f i^2) := by
56
- simpa only [mul_one,one_pow, hu.avg_const] using avg_CS hu.nz f (fun _=>1)
57
-
58
- set_option maxHeartbeats 800000 in
59
- theorem erosive (M ε : ℝ) (hM : 0≤M) (hε : 0<ε) :
60
- ∃ k:ℕ,∀ (A I : Type) [Fintype A] [Fintype I]
61
- (u : Wgt I) (w : Wgt A) (f : I→Wgt A),
62
- IsLaw u → IsLaw w → (∀ i j,|f i j|≤ M) →
63
- ∃ l:ℕ,l≤ k∧∃ p:A→Fin l,wanes u w f p ε := by
64
- classical
65
- obtain ⟨n,hn⟩:=exists_nat_gt (M^2/ε^2)
66
- rw [div_lt_iff₀ (by positivity)] at hn
67
- refine ⟨2^n,fun A I _ _ u w f hu hw hf =>?_⟩
68
- by_contra! h
69
- have hh (i:ℕ) (hi : i≤ n) :
70
- ∃ p : A→ Fin (2^i),i*ε^2 ≤ hits u w f p := by
71
- induction i with
72
- | zero => exact ⟨fun _=>0,(by simp only [Nat.cast_zero,zero_mul,hits]; exact avg_nonneg hu.nz (fun i=>ode_nonneg hw.nz _))⟩
73
- | succ i ih =>
74
- obtain ⟨p,hp⟩:=ih (by omega)
75
- obtain h := h (2^i) (Nat.pow_le_pow_right (by decide) (by omega)) p
76
- let T (i:I) (x:A) := f i x-banner w p (f i) x
77
- unfold wanes at h; push Not at h; obtain ⟨a,ha,h⟩:=h
78
- obtain ⟨s,hs⟩:=tilt_test w u hu.nz T a ha
79
- let q:= swab∘s
80
- let e : (Fin (2^i) × Bool)≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [pow_succ])
81
- let b x := e (p x,s x)
82
- let P := Prod.fst ∘ e.symm; let Q:= swab ∘ Prod.snd ∘ e.symm
83
- have hP : P∘b=p := by funext i; simp [P,b]
84
- have hQ : Q∘b=q := by funext i; simp [q,Q,b]
85
- have he x : ode w (banner w p (f x)) + dip w (T x) q ^2 ≤ ode w (banner w b (f x)) := by
86
- have he := archive_gain hw.sub (f x) b P Q (fun i=>by unfold Q; simp [swab_abs])
87
- rw [hP,hQ] at he
88
- change ode _ _+dip w (fun i=> f x i-banner w p (f x) i) q ^2≤_
89
- linarith only [he]
90
- let V i:= |dip w (T i) q|
91
- have hz : ε ≤ avg u V := h.le.trans hs
92
- have hb := (pow_le_pow_left₀ hε.le hz 2).trans (mean_sq u hu V)
93
- have hh := avg_mono hu.nz he
94
- rw [avg_add] at hh
95
- change hits u w f p + _ ≤ hits u w f b at hh
96
- unfold V at hb; simp_rw [sq_abs] at hb
97
- refine ⟨b,?_⟩
98
- push_cast; linarith only [hp,hb,hh]
99
- obtain ⟨p,hp⟩ := hh n le_rfl
100
- have h (i:I) : ∀ x:A,|banner w p (f i) x|≤ M :=
101
- fun i'=> cashbook_bound w hw.nz p _ _ hM (hf i) (p i')
102
- exact not_lt_of_ge (hp.trans (hu.avg_le (fun i=> ode_upper hw.sub _ M (h i)))) hn
103
- end HadwigerCounterexample
104
-
105
- end
106
-
107
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RectangleRegularity
2
+
3
+ namespace OAI
4
+
5
+ /-! # Residual Regularity -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix LinearMap Function Filter Real
10
+ open scoped BigOperators
11
+ variable {A B I : Type} [Fintype A] [Fintype B] [Fintype I]
12
+
13
+ def wanes (u : Wgt I) (w : Wgt A) (f : I→Wgt A) (p : A→B) (ε : ℝ) :=
14
+ ∀ h : Wgt A,(∀ x,|h x| ≤ 1) →
15
+ avg u (fun i => |dip w (fun x=> f i x - banner w p (f i) x) h|) ≤ ε
16
+ def hits (u : Wgt I) (w : Wgt A) (f : I→ Wgt A) (p : A→ B) :=
17
+ avg u (fun i => ode w (banner w p (f i)))
18
+
19
+ private def twistSign (b : ℝ) := decide (0≤ b)
20
+ private theorem twistabs (b : ℝ) : b*swab (twistSign b)=|b| := by
21
+ classical by_cases h : 0≤b <;> simp [swab,twistSign,h,abs_of_nonneg,abs_of_neg,lt_of_not_ge]
22
+
23
+ set_option maxHeartbeats 600000 in
24
+ theorem tilt_test (w : Wgt A) (u : Wgt I) (hu : ∀ i,0 ≤ u i) (f : I → Wgt A) (h : Wgt A)
25
+ (hh : ∀ x,|h x|≤1) :
26
+ ∃ p : A→Bool, avg u (fun i=>|dip w (f i) h|) ≤ avg u (fun i => |dip w (f i) (swab∘ p)|) := by
27
+ classical
28
+ let q (i:I) := swab (twistSign (dip w (f i) h))
29
+ let V (x) := avg u (fun i=> f i x * q i)
30
+ have hx (h : Wgt A) :
31
+ avg u (fun i=> dip w (f i) h * q i)=dip w V h := by
32
+ unfold V dip; simp_rw [← avg_mul]
33
+ rw [avg_avg]
34
+ refine avg_congr fun i _=> avg_congr fun j _=>by ring
35
+ let p (x:A) := twistSign (w x*V x)
36
+ refine ⟨p,?_⟩
37
+ have hV : dip w V h ≤ dip w V (swab ∘ p) := by
38
+ unfold dip avg; refine Finset.sum_le_sum fun i _=> ?_
39
+ dsimp only [Function.comp_apply,p]
40
+ set t := w i*V i with ht
41
+ rw [←mul_assoc,←mul_assoc,←ht,twistabs]
42
+ refine (le_abs_self _).trans ?_
43
+ rw [abs_mul]
44
+ exact (mul_le_mul_of_nonneg_left (hh _) (abs_nonneg _)).trans_eq (mul_one _)
45
+ have h0 i :
46
+ |dip w (f i) h|=dip w (f i) h*q i := (twistabs ..).symm
47
+ simp_rw [h0,hx]; rw [←hx (swab ∘ p)] at hV
48
+ apply le_trans hV
49
+ apply avg_mono hu
50
+ intro i
51
+ rw [← show |dip w (f i) (swab∘p)* q i|=|dip w (f i) (swab∘p)| by rw [abs_mul,swab_abs,mul_one]]
52
+ exact le_abs_self _
53
+
54
+ theorem mean_sq (u : Wgt I) (hu : IsLaw u) (f : Wgt I) :
55
+ avg u f ^ 2 ≤ avg u (fun i=> f i^2) := by
56
+ simpa only [mul_one,one_pow, hu.avg_const] using avg_CS hu.nz f (fun _=>1)
57
+
58
+ set_option maxHeartbeats 800000 in
59
+ theorem erosive (M ε : ℝ) (hM : 0≤M) (hε : 0<ε) :
60
+ ∃ k:ℕ,∀ (A I : Type) [Fintype A] [Fintype I]
61
+ (u : Wgt I) (w : Wgt A) (f : I→Wgt A),
62
+ IsLaw u → IsLaw w → (∀ i j,|f i j|≤ M) →
63
+ ∃ l:ℕ,l≤ k∧∃ p:A→Fin l,wanes u w f p ε := by
64
+ classical
65
+ obtain ⟨n,hn⟩:=exists_nat_gt (M^2/ε^2)
66
+ rw [div_lt_iff₀ (by positivity)] at hn
67
+ refine ⟨2^n,fun A I _ _ u w f hu hw hf =>?_⟩
68
+ by_contra! h
69
+ have hh (i:ℕ) (hi : i≤ n) :
70
+ ∃ p : A→ Fin (2^i),i*ε^2 ≤ hits u w f p := by
71
+ induction i with
72
+ | zero => exact ⟨fun _=>0,(by simp only [Nat.cast_zero,zero_mul,hits]; exact avg_nonneg hu.nz (fun i=>ode_nonneg hw.nz _))⟩
73
+ | succ i ih =>
74
+ obtain ⟨p,hp⟩:=ih (by omega)
75
+ obtain h := h (2^i) (Nat.pow_le_pow_right (by decide) (by omega)) p
76
+ let T (i:I) (x:A) := f i x-banner w p (f i) x
77
+ unfold wanes at h; push Not at h; obtain ⟨a,ha,h⟩:=h
78
+ obtain ⟨s,hs⟩:=tilt_test w u hu.nz T a ha
79
+ let q:= swab∘s
80
+ let e : (Fin (2^i) × Bool)≃ Fin (2^(i+1)) := Fintype.equivFinOfCardEq (by simp [pow_succ])
81
+ let b x := e (p x,s x)
82
+ let P := Prod.fst ∘ e.symm; let Q:= swab ∘ Prod.snd ∘ e.symm
83
+ have hP : P∘b=p := by funext i; simp [P,b]
84
+ have hQ : Q∘b=q := by funext i; simp [q,Q,b]
85
+ have he x : ode w (banner w p (f x)) + dip w (T x) q ^2 ≤ ode w (banner w b (f x)) := by
86
+ have he := archive_gain hw.sub (f x) b P Q (fun i=>by unfold Q; simp [swab_abs])
87
+ rw [hP,hQ] at he
88
+ change ode _ _+dip w (fun i=> f x i-banner w p (f x) i) q ^2≤_
89
+ linarith only [he]
90
+ let V i:= |dip w (T i) q|
91
+ have hz : ε ≤ avg u V := h.le.trans hs
92
+ have hb := (pow_le_pow_left₀ hε.le hz 2).trans (mean_sq u hu V)
93
+ have hh := avg_mono hu.nz he
94
+ rw [avg_add] at hh
95
+ change hits u w f p + _ ≤ hits u w f b at hh
96
+ unfold V at hb; simp_rw [sq_abs] at hb
97
+ refine ⟨b,?_⟩
98
+ push_cast; linarith only [hp,hb,hh]
99
+ obtain ⟨p,hp⟩ := hh n le_rfl
100
+ have h (i:I) : ∀ x:A,|banner w p (f i) x|≤ M :=
101
+ fun i'=> cashbook_bound w hw.nz p _ _ hM (hf i) (p i')
102
+ exact not_lt_of_ge (hp.trans (hu.avg_le (fun i=> ode_upper hw.sub _ M (h i)))) hn
103
+ end HadwigerCounterexample
104
+
105
+ end
106
+
107
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ResponseAnnihilators.lean CHANGED
@@ -1,206 +1,206 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FrozenProjections
2
-
3
- namespace OAI
4
-
5
- /-! # Response Annihilators -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix Finset LinearMap Submodule Module
10
- open scoped BigOperators
11
- variable {p : Shape} {n : ℕ}
12
- variable {I : Type} [Fintype I]
13
-
14
- def dotL (x : Vec I) : Vec I →ₗ[F] F where
15
- toFun y := dotProduct x y
16
- map_add' u v := dotProduct_add x _ _
17
- map_smul' b u := by
18
- simp only [dotProduct,Pi.smul_apply,RingHom.id_apply,smul_eq_mul,mul_sum,mul_left_comm]
19
-
20
- theorem dotL_surj (x : Vec I →ₗ[F] F) : ∃ y : Vec I,x=dotL y := by
21
- classical
22
- let y (i:I) := x (Pi.single i 1)
23
- refine ⟨y,LinearMap.ext fun v => ?_⟩
24
- have he : x v=x (∑ i, Pi.single i (v i)) := by rw [Finset.univ_sum_single]
25
- rw [he,map_sum]
26
- change (∑ i,x (Pi.single i (v i)))=∑ i,y i*v i
27
- refine Finset.sum_congr rfl fun i _ => ?_
28
- rw [show Pi.single i (v i)=v i • (Pi.single i 1 : Vec I) from (by
29
- funext j
30
- by_cases h : j = i
31
- · simp [h]
32
- simp [Pi.single_eq_of_ne h]),
33
- map_smul]
34
- exact mul_comm _ _
35
-
36
- private theorem protection_test {S : Space (Ray p n)} {q} {E L : Finset (Label p.b)}
37
- (h : protectedBy p S q E) {s} (hs : s∈L) (he : s∉E) (hl : L.card≤q)
38
- (ψ : Vec (AIdx p.g n)) :
39
- ∃ x ∈ annih S,∀ j∈L,(labMat p n j)ᵀ *ᵥ x= if j=s then ψ else 0 := by
40
- classical
41
- let P := S.subtype.coprod (labcomb p n L)
42
- let Q := dotL ψ ∘ₗ LinearMap.proj s ∘ₗ (LinearMap.snd F S (LabVals p n))
43
- obtain ⟨f,hf⟩ : ∃ f,f ∘ₗ P=Q := by
44
- refine HadwigerCounterexample.mem_range_comp (show LinearMap.ker P≤LinearMap.ker Q from ?_)
45
- rintro ⟨w,z⟩ hw
46
- change w.val + labcomb p n L z=0 at hw
47
- have hb : labcomb p n L z ∈ S := by
48
- rw [show labcomb p n L z=w.val from add_left_cancel (hw.trans (char_two w.val).symm)]
49
- exact w.property
50
- change dotProduct ψ (z s)=0
51
- rw [h L z hb hl s hs he,dotProduct_zero]
52
- obtain ⟨x,rfl⟩ := dotL_surj f
53
- refine ⟨x,?_,fun j hj => ?_⟩
54
- · rw [annih_mem]; intro y hy
55
- have hh := LinearMap.congr_fun hf (⟨y,hy⟩,0)
56
- change dotProduct x (y+labcomb p n L 0)=dotProduct ψ 0 at hh
57
- rw [map_zero,add_zero,dotProduct_zero] at hh
58
- exact hh
59
- have h1 (z : Vec (AIdx p.g n)) : dotProduct z ((labMat p n j)ᵀ *ᵥ x)=
60
- if j=s then dotProduct ψ z else 0 := by
61
- let y : LabVals p n := Pi.single j z
62
- have hh := LinearMap.congr_fun hf (0,y)
63
- change dotProduct x (0+labcomb p n L y)=dotProduct ψ (y s) at hh
64
- have hh' : labcomb p n L y = putLab p n j z := by
65
- rw [labcomb_eval,Finset.sum_eq_single j]
66
- · simp [y]
67
- · intro k _ hk; simp [y,Pi.single_eq_of_ne hk]
68
- simp [hj]
69
- rw [dotProduct_transpose_mulVec,labMat_act]
70
- rw [zero_add,hh'] at hh
71
- rw [hh]
72
- by_cases h : j = s
73
- · simp [y,h]
74
- simp [y,h]
75
- funext i
76
- have h2 := h1 (Pi.single i 1)
77
- by_cases hh : j = s
78
- · simpa only [hh,ite_true,dotProduct_single,single_dotProduct,mul_one,one_mul] using h2
79
- simpa only [ite_eq_right hh,Pi.zero_apply,single_dotProduct,one_mul] using h2
80
-
81
- namespace Volley
82
- variable {v : Volley p n I}
83
-
84
- private theorem mark_test {w : I → Bool} (hb : v.bounded w)
85
- (t : Tagging p I) {a : Plan p n} {q} (hv : v.avoids a q)
86
- (j : I) (z : Place p) (L : Finset (Label p.b)) (hl : L.card+14 ≤ q)
87
- (ψ : Vec (AIdx p.g n))
88
- (hh : inc z.1 (t j) → dotProduct ψ (baseV (v.par j)) = 0) :
89
- ∃ x ∈ annih (sPin (v.frozen a t) z (v.obj j)),∀ k∈L,(labMat p n k)ᵀ *ᵥ x=
90
- if k=v.sel j then ψ else 0 := by
91
- classical
92
- let i := v.obj j
93
- obtain ⟨B,hB,hj,hc,hsel⟩ := hv i
94
- let T := L∪v.marked i
95
- have hT : T.card ≤ q :=
96
- (Finset.card_union_le _ _).trans ((Nat.add_le_add_left (v.marked_card hb i) L.card).trans hl)
97
- have hjj : j ∈ v.here i := by simp [here,i]
98
- obtain ⟨x,hx,hX⟩ := protection_test (L:=T) (hB z)
99
- (mem_union_right L (v.marked_mem j)) (hj _ hjj) hT ψ
100
- refine ⟨x, ?_, fun k hk => hX k (mem_union_left _ hk)⟩
101
- have he : sPin (v.frozen a t) z i ≤ LinearMap.ker (dotL x) := by
102
- rw [v.sPin_frozen]
103
- refine sup_le (fun y hy => (annih_mem ..).mp hx y hy) ?_
104
- rintro y ⟨y,⟨u,rfl⟩,rfl⟩
105
- rw [LinearMap.mem_ker]
106
- rw [mulVecLin_apply,mulVecLin_apply,v.key_proj,map_sum]
107
- refine Finset.sum_eq_zero fun k hk => ?_
108
- rw [map_smul]
109
- suffices h : dotL x (v.rayAt k.val)=0 by rw [h,smul_zero]
110
- change dotProduct x (point p (v.sel k.val) (v.par k.val))= _
111
- have hh' : k.val ∈ v.here i := (v.visitH_here ..).mp hk
112
- have hx' : v.sel k.val ∈ T := mem_union_right _ (Finset.mem_image_of_mem _ hh')
113
- rw [point,←labMat_act, ←dotProduct_transpose_mulVec,hX _ hx']
114
- by_cases h : v.sel k.val=v.sel j
115
- · have he' : k.val=j := hsel hh' hjj h
116
- rw [ite_eq_left h,dotProduct_comm,he']
117
- exact hh (he' ▸ k.property)
118
- rw [ite_eq_right h,dotProduct_zero]
119
- rw [annih_mem]
120
- exact fun y hy => he hy
121
-
122
- private theorem ev_mput (s : Label p.b) (M : BaseMat p n) (x y : Ray p n) :
123
- evmat (mput p s M) x y = evmat M ((labMat p n s)ᵀ *ᵥ x) ((labMat p n s)ᵀ *ᵥ y) := by
124
- rw [← evmat_pull]
125
- unfold mput pullM
126
- rw [transpose_transpose]
127
-
128
- /-- Diagnostic for the two quotients by one affine ray. -/
129
- private theorem mark_diag {J : Type} [Fintype J] (Z : Mat (Option J) (Option J))
130
- (hZ : Zᵀ = Z) (hd : ∀ i,Z i i=Z none i) (v : Vec (Option J))
131
- (hv : v none=1) (he : ∀ φ, dotProduct φ v = 0 → ∀ ψ, dotProduct ψ v = 0 →
132
- evmat Z φ ψ=0) :
133
- Z = (Z none none) • vecMulVec v v := by
134
- classical
135
- let θ (i : Option J) := Pi.single i 1 + (Pi.single none (v i) : Vec (Option J))
136
- have hθ (i) : dotProduct (θ i) v=0 := by
137
- rw [show θ i=_+_ from rfl,add_dotProduct,single_dotProduct,single_dotProduct,
138
- hv,one_mul,mul_one,char_two]
139
- have hg (i j : Option J) :
140
- Z i j + Z i none * v j + (v i*(Z none j)+v i * (Z none none * v j)) = 0 := by
141
-
142
- have hh := he _ (hθ i) _ (hθ j)
143
- simp only [θ,evmat,Matrix.mulVec_add,add_dotProduct,dotProduct_add, single_dotProduct,Matrix.mulVec_single,op_smul_eq_smul, one_mul,one_smul,Pi.smul_apply,smul_eq_mul,col_apply] at hh
144
- simpa only [mul_comm,mul_left_comm,mul_assoc,add_comm,add_left_comm,add_assoc] using hh
145
- have hf i : Z i none=Z none i := congr_fun (congr_fun hZ none) i
146
- have h0 (i : Option J) : Z none i=Z none none * v i := by
147
- have h := hg i i
148
- rw [hd i,hf,mul_comm (Z none i),show v i*(Z none none*v i)=Z none none*v i from
149
- (by rw [mul_left_comm,bit_sq])] at h
150
- have h' : Z none i+Z none none*v i=0 := calc
151
- _ = Z none i + ((v i * Z none i+v i * Z none i)+Z none none*v i) := by rw [char_two,zero_add]
152
- _ = 0 := (by simpa only [add_assoc] using h)
153
- exact add_right_cancel (h'.trans (char_two _).symm)
154
- ext i j
155
- change Z i j=Z none none*(v i*v j)
156
- have h := hg i j
157
- rw [h0 j,char_two,add_zero,hf,h0, mul_assoc] at h
158
- exact add_right_cancel (h.trans (char_two _).symm)
159
-
160
- set_option maxHeartbeats 600000 in
161
- theorem mark_atom {w : I → Bool} (hb : v.bounded w)
162
- (t : Tagging p I) {a : Plan p n} {q} (hv : v.avoids a q)
163
- (j : I) (e : Comp p.g)
164
- (L : Finset (Label p.b)) (hl : L.card+14≤q)
165
- (Z : Label p.b → BaseMat p n)
166
- (ht : ∀ s,s∉L → Z s=0) (hh : ∀ s∈L,(Z s)ᵀ=Z s ∧ ∀ i,Z s i i=Z s none i)
167
- (hg : vanish (sPin (v.frozen a t) (e,true) (v.obj j))
168
- (sPin (v.frozen a t) (e,false) (v.obj j)) (labelSum p L Z)) :
169
- Z (v.sel j) = if inc e (t j) then
170
- Z (v.sel j) none none • vecMulVec (baseV (v.par j)) (baseV (v.par j)) else 0 := by
171
- classical
172
- let s := v.sel j
173
- change Z s = if inc e (t j) then _ else _
174
- by_cases hs : s∈L
175
- · let y := baseV (v.par j)
176
- have he (φ ψ : Vec (AIdx p.g n)) (hφ : inc e (t j) → dotProduct φ y=0)
177
- (hψ : inc e (t j) → dotProduct ψ y=0) :
178
- evmat (Z s) φ ψ=0 := by
179
- obtain ⟨x,hx,hX⟩ := mark_test hb t hv j (e,true) L hl φ hφ
180
- obtain ⟨y,hy,hY⟩ := mark_test hb t hv j (e,false) L hl ψ hψ
181
- have h := hg x hx y hy
182
- unfold labelSum at h
183
- rw [←mpair_outer,mpair_sum,Finset.sum_eq_single s] at h
184
- · rwa [mpair_outer,ev_mput,hX _ hs,hY _ hs,ite_eq_left rfl,ite_eq_left rfl] at h
185
- · intro i hi he; rw [mpair_outer,ev_mput,hX _ hi,hY _ hi,ite_eq_right he,ite_eq_right he]
186
- simp [evmat]
187
- simp [hs]
188
- by_cases h : inc e (t j)
189
- · rw [ite_eq_left h]
190
- exact mark_diag _ (hh s hs).1 (hh s hs).2 y rfl (fun φ hφ ψ hψ => he φ ψ (fun _ => hφ)
191
- (fun _ => hψ))
192
- rw [ite_eq_right h]
193
- apply evmat_ext
194
- intro φ ψ
195
- rw [he φ ψ (fun e => (h e).elim) (fun e => (h e).elim)]
196
- simp [evmat]
197
- change Z s = if inc e (t j) then Z s none none • _ else _
198
- rw [ht s hs]
199
- simp
200
-
201
- end Volley
202
- end HadwigerCounterexample
203
-
204
- end
205
-
206
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FrozenProjections
2
+
3
+ namespace OAI
4
+
5
+ /-! # Response Annihilators -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix Finset LinearMap Submodule Module
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n : ℕ}
12
+ variable {I : Type} [Fintype I]
13
+
14
+ def dotL (x : Vec I) : Vec I →ₗ[F] F where
15
+ toFun y := dotProduct x y
16
+ map_add' u v := dotProduct_add x _ _
17
+ map_smul' b u := by
18
+ simp only [dotProduct,Pi.smul_apply,RingHom.id_apply,smul_eq_mul,mul_sum,mul_left_comm]
19
+
20
+ theorem dotL_surj (x : Vec I →ₗ[F] F) : ∃ y : Vec I,x=dotL y := by
21
+ classical
22
+ let y (i:I) := x (Pi.single i 1)
23
+ refine ⟨y,LinearMap.ext fun v => ?_⟩
24
+ have he : x v=x (∑ i, Pi.single i (v i)) := by rw [Finset.univ_sum_single]
25
+ rw [he,map_sum]
26
+ change (∑ i,x (Pi.single i (v i)))=∑ i,y i*v i
27
+ refine Finset.sum_congr rfl fun i _ => ?_
28
+ rw [show Pi.single i (v i)=v i • (Pi.single i 1 : Vec I) from (by
29
+ funext j
30
+ by_cases h : j = i
31
+ · simp [h]
32
+ simp [Pi.single_eq_of_ne h]),
33
+ map_smul]
34
+ exact mul_comm _ _
35
+
36
+ private theorem protection_test {S : Space (Ray p n)} {q} {E L : Finset (Label p.b)}
37
+ (h : protectedBy p S q E) {s} (hs : s∈L) (he : s∉E) (hl : L.card≤q)
38
+ (ψ : Vec (AIdx p.g n)) :
39
+ ∃ x ∈ annih S,∀ j∈L,(labMat p n j)ᵀ *ᵥ x= if j=s then ψ else 0 := by
40
+ classical
41
+ let P := S.subtype.coprod (labcomb p n L)
42
+ let Q := dotL ψ ∘ₗ LinearMap.proj s ∘ₗ (LinearMap.snd F S (LabVals p n))
43
+ obtain ⟨f,hf⟩ : ∃ f,f ∘ₗ P=Q := by
44
+ refine HadwigerCounterexample.mem_range_comp (show LinearMap.ker P≤LinearMap.ker Q from ?_)
45
+ rintro ⟨w,z⟩ hw
46
+ change w.val + labcomb p n L z=0 at hw
47
+ have hb : labcomb p n L z ∈ S := by
48
+ rw [show labcomb p n L z=w.val from add_left_cancel (hw.trans (char_two w.val).symm)]
49
+ exact w.property
50
+ change dotProduct ψ (z s)=0
51
+ rw [h L z hb hl s hs he,dotProduct_zero]
52
+ obtain ⟨x,rfl⟩ := dotL_surj f
53
+ refine ⟨x,?_,fun j hj => ?_⟩
54
+ · rw [annih_mem]; intro y hy
55
+ have hh := LinearMap.congr_fun hf (⟨y,hy⟩,0)
56
+ change dotProduct x (y+labcomb p n L 0)=dotProduct ψ 0 at hh
57
+ rw [map_zero,add_zero,dotProduct_zero] at hh
58
+ exact hh
59
+ have h1 (z : Vec (AIdx p.g n)) : dotProduct z ((labMat p n j)ᵀ *ᵥ x)=
60
+ if j=s then dotProduct ψ z else 0 := by
61
+ let y : LabVals p n := Pi.single j z
62
+ have hh := LinearMap.congr_fun hf (0,y)
63
+ change dotProduct x (0+labcomb p n L y)=dotProduct ψ (y s) at hh
64
+ have hh' : labcomb p n L y = putLab p n j z := by
65
+ rw [labcomb_eval,Finset.sum_eq_single j]
66
+ · simp [y]
67
+ · intro k _ hk; simp [y,Pi.single_eq_of_ne hk]
68
+ simp [hj]
69
+ rw [dotProduct_transpose_mulVec,labMat_act]
70
+ rw [zero_add,hh'] at hh
71
+ rw [hh]
72
+ by_cases h : j = s
73
+ · simp [y,h]
74
+ simp [y,h]
75
+ funext i
76
+ have h2 := h1 (Pi.single i 1)
77
+ by_cases hh : j = s
78
+ · simpa only [hh,ite_true,dotProduct_single,single_dotProduct,mul_one,one_mul] using h2
79
+ simpa only [ite_eq_right hh,Pi.zero_apply,single_dotProduct,one_mul] using h2
80
+
81
+ namespace Volley
82
+ variable {v : Volley p n I}
83
+
84
+ private theorem mark_test {w : I → Bool} (hb : v.bounded w)
85
+ (t : Tagging p I) {a : Plan p n} {q} (hv : v.avoids a q)
86
+ (j : I) (z : Place p) (L : Finset (Label p.b)) (hl : L.card+14 ≤ q)
87
+ (ψ : Vec (AIdx p.g n))
88
+ (hh : inc z.1 (t j) → dotProduct ψ (baseV (v.par j)) = 0) :
89
+ ∃ x ∈ annih (sPin (v.frozen a t) z (v.obj j)),∀ k∈L,(labMat p n k)ᵀ *ᵥ x=
90
+ if k=v.sel j then ψ else 0 := by
91
+ classical
92
+ let i := v.obj j
93
+ obtain ⟨B,hB,hj,hc,hsel⟩ := hv i
94
+ let T := L∪v.marked i
95
+ have hT : T.card ≤ q :=
96
+ (Finset.card_union_le _ _).trans ((Nat.add_le_add_left (v.marked_card hb i) L.card).trans hl)
97
+ have hjj : j ∈ v.here i := by simp [here,i]
98
+ obtain ⟨x,hx,hX⟩ := protection_test (L:=T) (hB z)
99
+ (mem_union_right L (v.marked_mem j)) (hj _ hjj) hT ψ
100
+ refine ⟨x, ?_, fun k hk => hX k (mem_union_left _ hk)⟩
101
+ have he : sPin (v.frozen a t) z i ≤ LinearMap.ker (dotL x) := by
102
+ rw [v.sPin_frozen]
103
+ refine sup_le (fun y hy => (annih_mem ..).mp hx y hy) ?_
104
+ rintro y ⟨y,⟨u,rfl⟩,rfl⟩
105
+ rw [LinearMap.mem_ker]
106
+ rw [mulVecLin_apply,mulVecLin_apply,v.key_proj,map_sum]
107
+ refine Finset.sum_eq_zero fun k hk => ?_
108
+ rw [map_smul]
109
+ suffices h : dotL x (v.rayAt k.val)=0 by rw [h,smul_zero]
110
+ change dotProduct x (point p (v.sel k.val) (v.par k.val))= _
111
+ have hh' : k.val ∈ v.here i := (v.visitH_here ..).mp hk
112
+ have hx' : v.sel k.val ∈ T := mem_union_right _ (Finset.mem_image_of_mem _ hh')
113
+ rw [point,←labMat_act, ←dotProduct_transpose_mulVec,hX _ hx']
114
+ by_cases h : v.sel k.val=v.sel j
115
+ · have he' : k.val=j := hsel hh' hjj h
116
+ rw [ite_eq_left h,dotProduct_comm,he']
117
+ exact hh (he' ▸ k.property)
118
+ rw [ite_eq_right h,dotProduct_zero]
119
+ rw [annih_mem]
120
+ exact fun y hy => he hy
121
+
122
+ private theorem ev_mput (s : Label p.b) (M : BaseMat p n) (x y : Ray p n) :
123
+ evmat (mput p s M) x y = evmat M ((labMat p n s)ᵀ *ᵥ x) ((labMat p n s)ᵀ *ᵥ y) := by
124
+ rw [← evmat_pull]
125
+ unfold mput pullM
126
+ rw [transpose_transpose]
127
+
128
+ /-- Diagnostic for the two quotients by one affine ray. -/
129
+ private theorem mark_diag {J : Type} [Fintype J] (Z : Mat (Option J) (Option J))
130
+ (hZ : Zᵀ = Z) (hd : ∀ i,Z i i=Z none i) (v : Vec (Option J))
131
+ (hv : v none=1) (he : ∀ φ, dotProduct φ v = 0 → ∀ ψ, dotProduct ψ v = 0 →
132
+ evmat Z φ ψ=0) :
133
+ Z = (Z none none) • vecMulVec v v := by
134
+ classical
135
+ let θ (i : Option J) := Pi.single i 1 + (Pi.single none (v i) : Vec (Option J))
136
+ have hθ (i) : dotProduct (θ i) v=0 := by
137
+ rw [show θ i=_+_ from rfl,add_dotProduct,single_dotProduct,single_dotProduct,
138
+ hv,one_mul,mul_one,char_two]
139
+ have hg (i j : Option J) :
140
+ Z i j + Z i none * v j + (v i*(Z none j)+v i * (Z none none * v j)) = 0 := by
141
+
142
+ have hh := he _ (hθ i) _ (hθ j)
143
+ simp only [θ,evmat,Matrix.mulVec_add,add_dotProduct,dotProduct_add, single_dotProduct,Matrix.mulVec_single,op_smul_eq_smul, one_mul,one_smul,Pi.smul_apply,smul_eq_mul,col_apply] at hh
144
+ simpa only [mul_comm,mul_left_comm,mul_assoc,add_comm,add_left_comm,add_assoc] using hh
145
+ have hf i : Z i none=Z none i := congr_fun (congr_fun hZ none) i
146
+ have h0 (i : Option J) : Z none i=Z none none * v i := by
147
+ have h := hg i i
148
+ rw [hd i,hf,mul_comm (Z none i),show v i*(Z none none*v i)=Z none none*v i from
149
+ (by rw [mul_left_comm,bit_sq])] at h
150
+ have h' : Z none i+Z none none*v i=0 := calc
151
+ _ = Z none i + ((v i * Z none i+v i * Z none i)+Z none none*v i) := by rw [char_two,zero_add]
152
+ _ = 0 := (by simpa only [add_assoc] using h)
153
+ exact add_right_cancel (h'.trans (char_two _).symm)
154
+ ext i j
155
+ change Z i j=Z none none*(v i*v j)
156
+ have h := hg i j
157
+ rw [h0 j,char_two,add_zero,hf,h0, mul_assoc] at h
158
+ exact add_right_cancel (h.trans (char_two _).symm)
159
+
160
+ set_option maxHeartbeats 600000 in
161
+ theorem mark_atom {w : I → Bool} (hb : v.bounded w)
162
+ (t : Tagging p I) {a : Plan p n} {q} (hv : v.avoids a q)
163
+ (j : I) (e : Comp p.g)
164
+ (L : Finset (Label p.b)) (hl : L.card+14≤q)
165
+ (Z : Label p.b → BaseMat p n)
166
+ (ht : ∀ s,s∉L → Z s=0) (hh : ∀ s∈L,(Z s)ᵀ=Z s ∧ ∀ i,Z s i i=Z s none i)
167
+ (hg : vanish (sPin (v.frozen a t) (e,true) (v.obj j))
168
+ (sPin (v.frozen a t) (e,false) (v.obj j)) (labelSum p L Z)) :
169
+ Z (v.sel j) = if inc e (t j) then
170
+ Z (v.sel j) none none • vecMulVec (baseV (v.par j)) (baseV (v.par j)) else 0 := by
171
+ classical
172
+ let s := v.sel j
173
+ change Z s = if inc e (t j) then _ else _
174
+ by_cases hs : s∈L
175
+ · let y := baseV (v.par j)
176
+ have he (φ ψ : Vec (AIdx p.g n)) (hφ : inc e (t j) → dotProduct φ y=0)
177
+ (hψ : inc e (t j) → dotProduct ψ y=0) :
178
+ evmat (Z s) φ ψ=0 := by
179
+ obtain ⟨x,hx,hX⟩ := mark_test hb t hv j (e,true) L hl φ hφ
180
+ obtain ⟨y,hy,hY⟩ := mark_test hb t hv j (e,false) L hl ψ hψ
181
+ have h := hg x hx y hy
182
+ unfold labelSum at h
183
+ rw [←mpair_outer,mpair_sum,Finset.sum_eq_single s] at h
184
+ · rwa [mpair_outer,ev_mput,hX _ hs,hY _ hs,ite_eq_left rfl,ite_eq_left rfl] at h
185
+ · intro i hi he; rw [mpair_outer,ev_mput,hX _ hi,hY _ hi,ite_eq_right he,ite_eq_right he]
186
+ simp [evmat]
187
+ simp [hs]
188
+ by_cases h : inc e (t j)
189
+ · rw [ite_eq_left h]
190
+ exact mark_diag _ (hh s hs).1 (hh s hs).2 y rfl (fun φ hφ ψ hψ => he φ ψ (fun _ => hφ)
191
+ (fun _ => hψ))
192
+ rw [ite_eq_right h]
193
+ apply evmat_ext
194
+ intro φ ψ
195
+ rw [he φ ψ (fun e => (h e).elim) (fun e => (h e).elim)]
196
+ simp [evmat]
197
+ change Z s = if inc e (t j) then Z s none none • _ else _
198
+ rw [ht s hs]
199
+ simp
200
+
201
+ end Volley
202
+ end HadwigerCounterexample
203
+
204
+ end
205
+
206
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ResponseSolvability.lean CHANGED
@@ -1,188 +1,188 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ResidualCutPairs
2
-
3
- namespace OAI
4
-
5
- /-! # Response Solvability -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Module Finset Submodule
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
12
-
13
- abbrev Individual (p : Shape) (n : ℕ) := Bool → Profile p n
14
- abbrev OnForms (p : Shape) (n : ℕ) := Bool → (Profile p n →ₗ[F] F)
15
- abbrev ReqF (p : Shape) (n : ℕ) := Module.Dual F (Xpair p n)
16
-
17
- def combineF (p : Shape) {n} : OnForms p n →ₗ[F] ReqF p n where
18
- toFun f := ∑ i : Bool, f i ∘ₗ (Xspace p n).subtype ∘ₗ LinearMap.proj i
19
- map_add' f g := LinearMap.ext fun x => by
20
- simp only [LinearMap.sum_apply,LinearMap.comp_apply,Pi.add_apply,LinearMap.add_apply,
21
- Finset.sum_add_distrib]
22
- map_smul' a f := LinearMap.ext fun x => by
23
- simp only [LinearMap.sum_apply,LinearMap.comp_apply,Pi.smul_apply,LinearMap.smul_apply,
24
- RingHom.id_apply,smul_eq_mul,mul_sum]
25
-
26
- theorem combineF_val (f : OnForms p n) (x : Xpair p n) :
27
- combineF p f x= ∑ i, f i (x i).val := by
28
- simp only [combineF,LinearMap.coe_mk,AddHom.coe_mk,LinearMap.sum_apply]; rfl
29
-
30
- theorem combineF_single (f : OnForms p n) (i : Bool) (x : Xspace p n) :
31
- combineF p f (Pi.single i x)=f i x.val := by
32
- rw [combineF_val,Finset.sum_eq_single i]
33
- · rw [Pi.single_eq_same]
34
- · intro j _ hj; simp [hj]
35
- simp
36
-
37
- theorem combineF_same (f g : OnForms p n) : combineF p f=combineF p g ↔
38
- ∀ i,∀ x ∈ Xspace p n,f i x=g i x := by
39
- constructor
40
- · intro h i x hx
41
- exact (combineF_single f i ⟨x,hx⟩).symm.trans (h ▸ combineF_single g i ⟨x,hx⟩)
42
- intro h
43
- apply LinearMap.ext; intro x
44
- rw [combineF_val,combineF_val]
45
- exact Finset.sum_congr rfl fun i _ => h i _ (x i).property
46
-
47
- def obsPair (p : Shape) {n} : PureForms p n →ₗ[F] ReqF p n :=
48
- react p 0 ∘ₗ LinearMap.inr F (ChanOut p n) (PureForms p n)
49
-
50
- theorem obsPair_val (A : PureForms p n) (x : Xpair p n) :
51
- obsPair p A x=∑ i,mpair (A i) (purePair p n x i) := by
52
- change ∑ i : Comp p.g, _ = _
53
- refine Finset.sum_congr rfl fun i _ => ?_
54
- change mpair ((chanDeriv p (n:=n) 0 0+A) _) _=_
55
- simp only [chanDeriv,chanInner,Pi.add_apply,Pi.zero_apply,Matrix.transpose_zero,Matrix.zero_mul,
56
- zero_add]
57
-
58
- /-- Restrict pure form to individual diagonal blocks. -/
59
- def eachF (p : Shape) {n} :
60
- PureForms p n →ₗ[F] Individual p n where
61
- toFun P i e := pullM (IP p n i) (IP p n i) (P e)
62
- map_add' P Q := by ext; simp only [Pi.add_apply,map_add]
63
- map_smul' a P := by ext; simp only [Pi.smul_apply,map_smul,RingHom.id_apply]
64
-
65
- /-- Extend the individual forms by zero outside respective blocks, then add. -/
66
- def sumF (p : Shape) {n} : Individual p n → PureForms p n :=
67
- fun A e => ∑ i,liftM (IP p n i) (IP p n i) (A i e)
68
- theorem each_sumF (A : Individual p n) : eachF p (sumF p A)=A := by
69
- classical
70
- funext i e
71
- change pullM _ _ (∑ j,_) = _
72
- rw [map_sum,Finset.sum_eq_single i]
73
- · unfold pullM; rw [liftM_comp,IP_self]
74
- simp [liftM_def]
75
- · intro j _ hj
76
- unfold pullM
77
- rw [liftM_comp,IP_cross (Ne.symm hj)]
78
- simp [liftM_def]
79
- simp
80
-
81
- def repF (p : Shape) {n} (A : Individual p n) : OnForms p n :=
82
- fun i => ∑ e : Comp p.g, mpair (A i e) ∘ₗ LinearMap.proj e
83
-
84
- theorem repF_rep (A : Individual p n) (i) :
85
- Represents (repF p A i) (A i) := by
86
- intro x
87
- simp only [repF,LinearMap.sum_apply]; rfl
88
-
89
- theorem obsPair_each (P : PureForms p n) :
90
- obsPair p P=combineF p (repF p (eachF p P)) := by
91
- apply LinearMap.ext
92
- intro x
93
- rw [obsPair_val,combineF_val]
94
- simp_rw [purePair,Finset.sum_apply,map_sum]
95
- rw [Finset.sum_comm]
96
- refine Finset.sum_congr rfl fun i _ => ?_
97
- rw [repF_rep]
98
- refine Finset.sum_congr rfl fun e _ => ?_
99
- rw [mpair_liftM]; rfl
100
-
101
- theorem obsPair_chan (B : Cross p n) (j : Bool) :
102
- obsPair p (chanInner p (channelOut p B j) (channelOut p B j))=
103
- combineF p (fun i => contract p B i j) := by
104
- apply LinearMap.ext; intro x
105
- rw [obsPair_val,combineF_val]
106
- simp_rw [purePair,Finset.sum_apply,map_sum]
107
- rw [Finset.sum_comm]; rfl
108
-
109
- theorem each_chan_val (B C : ChanOut p n) (i) (e : Comp p.g) :
110
- eachF p (chanInner p B C) i e=(B (e,true) * IP p n i)ᵀ * (C (e,false)*IP p n i) := by
111
- change pullM _ _ _=_
112
- simp only [pullM_def,chanInner,transpose_mul,Matrix.mul_assoc]
113
-
114
- theorem obsPair_chan_change (B C : ChanOut p n) :
115
- obsPair p (chanInner p (B+C) (B+C))=
116
- obsPair p (chanInner p B B)+ obsPair p (chanDeriv p B C) + obsPair p (chanInner p C C) := by
117
- rw [←map_add,←map_add]
118
- congr 1
119
- unfold chanInner chanDeriv
120
- funext i
121
- simp only [chanInner,Pi.add_apply,Matrix.transpose_add,Matrix.add_mul,Matrix.mul_add,add_assoc]
122
- ac_rfl
123
-
124
- theorem react_obsPair (B C : ChanOut p n) (D : PureForms p n) :
125
- react p B (C,D)=obsPair p (chanDeriv p B C) + obsPair p D := by
126
- rw [←map_add]
127
- exact LinearMap.ext (fun x => (obsPair_val _ x).symm)
128
-
129
- namespace Volley
130
- variable (v w : Volley p n I)
131
-
132
- def demand (t : Tagging p I) (m : Mixer p n) (j : Bool) : OnForms p n :=
133
- fun i => grad m (v.sumAt t w.obj i j)
134
-
135
- theorem realize_linear {t : Tagging p I} (m : Mixer p n)
136
- (x y : UnitType p n N) (a b : Plan p n) (t' B : Cross p n)
137
- (hb : v.bounded w.obj) (ht : v.legal t)
138
- (q R : ℕ) (hv : v.avoids a q) (hj : 6*R+4≤p.j)
139
- (hr : 2*planRank a+28≤R) (hq : R+14≤q)
140
- (hB : fitsTable a b B t') (hT : tableInj a b t')
141
- (hf : rowAgree (v.frozen a t) B (actual p x y))
142
- (hR : v.scalarRecipe w t m x a t') (hk : v.keys t x=w.keys t y)
143
- (hL : ∀ i, frameLaw m (onSide y i))
144
- (hS : v.attackGrad w t m y) (j : Bool) :
145
- ∃ C∈deltaSpace p (v.frozen a t) b j,
146
- ∃ P∈pureSpace p (v.frozen a t),
147
- obsPair p (chanInner p (channelOut p B j) (channelOut p B j))+
148
- obsPair p (chanDeriv p (channelOut p B j) C) + obsPair p P=
149
- combineF p (v.demand w t m j) := by
150
- classical
151
- let G := v.demand w t m j
152
- let K : OnForms p n := fun i => contract p B i j
153
- let CC := channelOut p B j
154
- have h1 (i : I) : G (v.obj i) (v.atomAt t i) = K (v.obj i) (v.atomAt t i) := by
155
- change grad m (v.sumAt t w.obj (v.obj i) j) _ = contract p B _ _ _
156
- rw [frozen_contract_key v t hf,contract_actual,LinearMap.comp_apply,hS i j,
157
- v.atom_share w t x y hk]
158
- by_cases h : j=w.obj i
159
- · rw [ite_eq_left h,h,ufun_self (hL _)]
160
- have hh : (! (w.obj i))=j := by cases j <;> cases e : w.obj i <;> simp_all
161
- rw [ite_eq_right h, innerP, hh]; rfl
162
- have hg (z : Xpair p n) (h : orth p CC (v.frozen a t) b j z) :
163
- combineF p (G-K) z=0 := by
164
- obtain ⟨c,z,rfl,ho,hy⟩ := split_orth hb ht h hv hj hr hq
165
- have he (i : Bool) := clean_effective t hb hv hq B z ho (fits_inj hB hT) i (hy i)
166
- rw [map_add,map_sum]
167
- have h2 : combineF p (G-K) z = 0 := by
168
- rw [combineF_val]
169
- refine Finset.sum_eq_zero fun i _ => ?_
170
- rw [Pi.sub_apply,LinearMap.sub_apply]
171
- exact sub_eq_zero.mpr ((hR.gradient i j _ (he i)).trans (fits_contract hB i j _ (he i)).symm)
172
- rw [h2,zero_add]
173
- refine Finset.sum_eq_zero fun i _ => ?_
174
- rw [map_smul,strike,combineF_single,Pi.sub_apply,LinearMap.sub_apply,
175
- h1 i,sub_self,smul_zero]
176
-
177
- obtain ⟨C,hC,P,hP,h⟩ := solve_by_dual _ hg
178
- rw [react_obsPair,map_sub] at h
179
- rw [obsPair_chan]
180
- refine ⟨C,hC,P,hP,?_⟩
181
- rw [add_assoc,h,add_sub_cancel]
182
- end Volley
183
-
184
- end HadwigerCounterexample
185
-
186
- end
187
-
188
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ResidualCutPairs
2
+
3
+ namespace OAI
4
+
5
+ /-! # Response Solvability -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Module Finset Submodule
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I]
12
+
13
+ abbrev Individual (p : Shape) (n : ℕ) := Bool → Profile p n
14
+ abbrev OnForms (p : Shape) (n : ℕ) := Bool → (Profile p n →ₗ[F] F)
15
+ abbrev ReqF (p : Shape) (n : ℕ) := Module.Dual F (Xpair p n)
16
+
17
+ def combineF (p : Shape) {n} : OnForms p n →ₗ[F] ReqF p n where
18
+ toFun f := ∑ i : Bool, f i ∘ₗ (Xspace p n).subtype ∘ₗ LinearMap.proj i
19
+ map_add' f g := LinearMap.ext fun x => by
20
+ simp only [LinearMap.sum_apply,LinearMap.comp_apply,Pi.add_apply,LinearMap.add_apply,
21
+ Finset.sum_add_distrib]
22
+ map_smul' a f := LinearMap.ext fun x => by
23
+ simp only [LinearMap.sum_apply,LinearMap.comp_apply,Pi.smul_apply,LinearMap.smul_apply,
24
+ RingHom.id_apply,smul_eq_mul,mul_sum]
25
+
26
+ theorem combineF_val (f : OnForms p n) (x : Xpair p n) :
27
+ combineF p f x= ∑ i, f i (x i).val := by
28
+ simp only [combineF,LinearMap.coe_mk,AddHom.coe_mk,LinearMap.sum_apply]; rfl
29
+
30
+ theorem combineF_single (f : OnForms p n) (i : Bool) (x : Xspace p n) :
31
+ combineF p f (Pi.single i x)=f i x.val := by
32
+ rw [combineF_val,Finset.sum_eq_single i]
33
+ · rw [Pi.single_eq_same]
34
+ · intro j _ hj; simp [hj]
35
+ simp
36
+
37
+ theorem combineF_same (f g : OnForms p n) : combineF p f=combineF p g ↔
38
+ ∀ i,∀ x ∈ Xspace p n,f i x=g i x := by
39
+ constructor
40
+ · intro h i x hx
41
+ exact (combineF_single f i ⟨x,hx⟩).symm.trans (h ▸ combineF_single g i ⟨x,hx⟩)
42
+ intro h
43
+ apply LinearMap.ext; intro x
44
+ rw [combineF_val,combineF_val]
45
+ exact Finset.sum_congr rfl fun i _ => h i _ (x i).property
46
+
47
+ def obsPair (p : Shape) {n} : PureForms p n →ₗ[F] ReqF p n :=
48
+ react p 0 ∘ₗ LinearMap.inr F (ChanOut p n) (PureForms p n)
49
+
50
+ theorem obsPair_val (A : PureForms p n) (x : Xpair p n) :
51
+ obsPair p A x=∑ i,mpair (A i) (purePair p n x i) := by
52
+ change ∑ i : Comp p.g, _ = _
53
+ refine Finset.sum_congr rfl fun i _ => ?_
54
+ change mpair ((chanDeriv p (n:=n) 0 0+A) _) _=_
55
+ simp only [chanDeriv,chanInner,Pi.add_apply,Pi.zero_apply,Matrix.transpose_zero,Matrix.zero_mul,
56
+ zero_add]
57
+
58
+ /-- Restrict pure form to individual diagonal blocks. -/
59
+ def eachF (p : Shape) {n} :
60
+ PureForms p n →ₗ[F] Individual p n where
61
+ toFun P i e := pullM (IP p n i) (IP p n i) (P e)
62
+ map_add' P Q := by ext; simp only [Pi.add_apply,map_add]
63
+ map_smul' a P := by ext; simp only [Pi.smul_apply,map_smul,RingHom.id_apply]
64
+
65
+ /-- Extend the individual forms by zero outside respective blocks, then add. -/
66
+ def sumF (p : Shape) {n} : Individual p n → PureForms p n :=
67
+ fun A e => ∑ i,liftM (IP p n i) (IP p n i) (A i e)
68
+ theorem each_sumF (A : Individual p n) : eachF p (sumF p A)=A := by
69
+ classical
70
+ funext i e
71
+ change pullM _ _ (∑ j,_) = _
72
+ rw [map_sum,Finset.sum_eq_single i]
73
+ · unfold pullM; rw [liftM_comp,IP_self]
74
+ simp [liftM_def]
75
+ · intro j _ hj
76
+ unfold pullM
77
+ rw [liftM_comp,IP_cross (Ne.symm hj)]
78
+ simp [liftM_def]
79
+ simp
80
+
81
+ def repF (p : Shape) {n} (A : Individual p n) : OnForms p n :=
82
+ fun i => ∑ e : Comp p.g, mpair (A i e) ∘ₗ LinearMap.proj e
83
+
84
+ theorem repF_rep (A : Individual p n) (i) :
85
+ Represents (repF p A i) (A i) := by
86
+ intro x
87
+ simp only [repF,LinearMap.sum_apply]; rfl
88
+
89
+ theorem obsPair_each (P : PureForms p n) :
90
+ obsPair p P=combineF p (repF p (eachF p P)) := by
91
+ apply LinearMap.ext
92
+ intro x
93
+ rw [obsPair_val,combineF_val]
94
+ simp_rw [purePair,Finset.sum_apply,map_sum]
95
+ rw [Finset.sum_comm]
96
+ refine Finset.sum_congr rfl fun i _ => ?_
97
+ rw [repF_rep]
98
+ refine Finset.sum_congr rfl fun e _ => ?_
99
+ rw [mpair_liftM]; rfl
100
+
101
+ theorem obsPair_chan (B : Cross p n) (j : Bool) :
102
+ obsPair p (chanInner p (channelOut p B j) (channelOut p B j))=
103
+ combineF p (fun i => contract p B i j) := by
104
+ apply LinearMap.ext; intro x
105
+ rw [obsPair_val,combineF_val]
106
+ simp_rw [purePair,Finset.sum_apply,map_sum]
107
+ rw [Finset.sum_comm]; rfl
108
+
109
+ theorem each_chan_val (B C : ChanOut p n) (i) (e : Comp p.g) :
110
+ eachF p (chanInner p B C) i e=(B (e,true) * IP p n i)ᵀ * (C (e,false)*IP p n i) := by
111
+ change pullM _ _ _=_
112
+ simp only [pullM_def,chanInner,transpose_mul,Matrix.mul_assoc]
113
+
114
+ theorem obsPair_chan_change (B C : ChanOut p n) :
115
+ obsPair p (chanInner p (B+C) (B+C))=
116
+ obsPair p (chanInner p B B)+ obsPair p (chanDeriv p B C) + obsPair p (chanInner p C C) := by
117
+ rw [←map_add,←map_add]
118
+ congr 1
119
+ unfold chanInner chanDeriv
120
+ funext i
121
+ simp only [chanInner,Pi.add_apply,Matrix.transpose_add,Matrix.add_mul,Matrix.mul_add,add_assoc]
122
+ ac_rfl
123
+
124
+ theorem react_obsPair (B C : ChanOut p n) (D : PureForms p n) :
125
+ react p B (C,D)=obsPair p (chanDeriv p B C) + obsPair p D := by
126
+ rw [←map_add]
127
+ exact LinearMap.ext (fun x => (obsPair_val _ x).symm)
128
+
129
+ namespace Volley
130
+ variable (v w : Volley p n I)
131
+
132
+ def demand (t : Tagging p I) (m : Mixer p n) (j : Bool) : OnForms p n :=
133
+ fun i => grad m (v.sumAt t w.obj i j)
134
+
135
+ theorem realize_linear {t : Tagging p I} (m : Mixer p n)
136
+ (x y : UnitType p n N) (a b : Plan p n) (t' B : Cross p n)
137
+ (hb : v.bounded w.obj) (ht : v.legal t)
138
+ (q R : ℕ) (hv : v.avoids a q) (hj : 6*R+4≤p.j)
139
+ (hr : 2*planRank a+28≤R) (hq : R+14≤q)
140
+ (hB : fitsTable a b B t') (hT : tableInj a b t')
141
+ (hf : rowAgree (v.frozen a t) B (actual p x y))
142
+ (hR : v.scalarRecipe w t m x a t') (hk : v.keys t x=w.keys t y)
143
+ (hL : ∀ i, frameLaw m (onSide y i))
144
+ (hS : v.attackGrad w t m y) (j : Bool) :
145
+ ∃ C∈deltaSpace p (v.frozen a t) b j,
146
+ ∃ P∈pureSpace p (v.frozen a t),
147
+ obsPair p (chanInner p (channelOut p B j) (channelOut p B j))+
148
+ obsPair p (chanDeriv p (channelOut p B j) C) + obsPair p P=
149
+ combineF p (v.demand w t m j) := by
150
+ classical
151
+ let G := v.demand w t m j
152
+ let K : OnForms p n := fun i => contract p B i j
153
+ let CC := channelOut p B j
154
+ have h1 (i : I) : G (v.obj i) (v.atomAt t i) = K (v.obj i) (v.atomAt t i) := by
155
+ change grad m (v.sumAt t w.obj (v.obj i) j) _ = contract p B _ _ _
156
+ rw [frozen_contract_key v t hf,contract_actual,LinearMap.comp_apply,hS i j,
157
+ v.atom_share w t x y hk]
158
+ by_cases h : j=w.obj i
159
+ · rw [ite_eq_left h,h,ufun_self (hL _)]
160
+ have hh : (! (w.obj i))=j := by cases j <;> cases e : w.obj i <;> simp_all
161
+ rw [ite_eq_right h, innerP, hh]; rfl
162
+ have hg (z : Xpair p n) (h : orth p CC (v.frozen a t) b j z) :
163
+ combineF p (G-K) z=0 := by
164
+ obtain ⟨c,z,rfl,ho,hy⟩ := split_orth hb ht h hv hj hr hq
165
+ have he (i : Bool) := clean_effective t hb hv hq B z ho (fits_inj hB hT) i (hy i)
166
+ rw [map_add,map_sum]
167
+ have h2 : combineF p (G-K) z = 0 := by
168
+ rw [combineF_val]
169
+ refine Finset.sum_eq_zero fun i _ => ?_
170
+ rw [Pi.sub_apply,LinearMap.sub_apply]
171
+ exact sub_eq_zero.mpr ((hR.gradient i j _ (he i)).trans (fits_contract hB i j _ (he i)).symm)
172
+ rw [h2,zero_add]
173
+ refine Finset.sum_eq_zero fun i _ => ?_
174
+ rw [map_smul,strike,combineF_single,Pi.sub_apply,LinearMap.sub_apply,
175
+ h1 i,sub_self,smul_zero]
176
+
177
+ obtain ⟨C,hC,P,hP,h⟩ := solve_by_dual _ hg
178
+ rw [react_obsPair,map_sub] at h
179
+ rw [obsPair_chan]
180
+ refine ⟨C,hC,P,hP,?_⟩
181
+ rw [add_assoc,h,add_sub_cancel]
182
+ end Volley
183
+
184
+ end HadwigerCounterexample
185
+
186
+ end
187
+
188
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RestrictedComparisonLaws.lean CHANGED
@@ -1,101 +1,101 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.ConditionalFlags
2
-
3
- namespace OAI
4
-
5
- /-! # Restricted Comparison Laws -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Real
10
- open scoped BigOperators
11
- variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
12
-
13
- def hung (Q : Wgt B→Prop) (P : B→Prop) (w : Wgt B) :=
14
- ∃ v : Wgt B, Q v ∧ w=subW v P
15
- def smallSet (Q : Wgt B→Prop) (q : Wgt B) (δ η : ℝ) :=
16
- ∀ p,Q p → ∀ P : B→ Prop, pr q P ≤ δ → pr p P ≤ η
17
- def rosterTail (Q : Wgt B→Prop) (q : Wgt B) (R η : ℝ) :=
18
- ∀ p,Q p → pr p (fun x => R≤density q p x)≤η
19
-
20
- theorem hung_roster (Q : Wgt B → Prop) (P : B→Prop) (r : ℕ) (ε : ℝ) :
21
- roster Q r ε → roster (hung Q P) r ε := by
22
- classical
23
- rintro ⟨t,ht,w,hw⟩
24
- refine ⟨t,ht,fun i => subW (w i) P,?_⟩
25
- rintro p ⟨v,h,rfl⟩
26
- obtain ⟨i,hi⟩ := hw v h
27
- refine ⟨i,le_trans ?_ hi⟩
28
- unfold varOne subW
29
- refine sum_le_sum fun x _ => ?_
30
- by_cases h : P x <;> simp [ind,h]
31
-
32
- variable [Nonempty B]
33
-
34
- theorem hung_small (Q : Wgt B→Prop) (P : B→Prop) (δ η : ℝ)
35
- (hq : smallSet Q unif δ η) : smallSet (hung Q P) (unifOn P) δ η := by
36
- classical
37
- rintro p ⟨v,hv,rfl⟩ S hs
38
- rw [pr_sub]
39
- refine hq v hv (fun x => P x∧ S x) ?_
40
- rw [pr_of_on unif_law.nz,on_unif]
41
- refine le_trans ?_ hs
42
- have ht := (pr_le_tot (α:=B) (p:=P) unif_law.nz).trans unif_law.total.le
43
- exact (mul_le_mul_of_nonneg_right ht (pr_nonneg (unifOn_sub _).nz)).trans_eq (one_mul _)
44
-
45
- omit [Nonempty B] in
46
- theorem density_hung (P : B→Prop) (w : Wgt B) (hw : carried w P) :
47
- ∀ i, unifOn P i * density (unifOn P) w i=w i := by
48
- classical
49
- intro i
50
- by_cases h : w i =0
51
- · simp only [density,h,zero_div,mul_zero]
52
- have ht : P i := not_not.mp fun hi => h (hw i hi)
53
- have hn := unifOn_law (p:=P) ⟨i,ht⟩
54
- have he : unifOn P i≠0 := by
55
- rw [unifOn_val,ind_one ht]
56
- have hh : nbr P ≠0 := by
57
- have he := weight_le_tot (fun j => ind_nonneg (P j)) i
58
- rw [ind_one ht] at he
59
- exact (lt_of_lt_of_le zero_lt_one he).ne'
60
- exact div_ne_zero one_ne_zero hh
61
- unfold density; field_simp
62
-
63
- theorem hung_tail (Q : Wgt B→Prop) (P : B→ Prop)
64
- (h : ∀ p,Q p → SubLaw p) (δ η : ℝ)
65
- (hδ : 0<δ) (hh : smallSet Q unif δ η) :
66
- rosterTail (hung Q P) (unifOn P) δ⁻¹ η := by
67
- intro p hp
68
- apply hung_small Q P δ η hh p hp
69
- obtain ⟨w,hw,rfl⟩ := hp
70
- let q := unifOn P
71
- let v := subW w P
72
- let f := density q v
73
- have hq := unifOn_sub P
74
- have hv := subLaw_sub (h w hw) P
75
- have hh :
76
- avg q f = tot v := Finset.sum_congr rfl fun i _ => density_hung P v
77
- (subW_carried w P) i
78
- have hz := le_avg_markov hq.nz (fun i => div_nonneg (hv.nz i) (hq.nz i)) δ⁻¹
79
- change δ⁻¹*pr q _≤avg q f at hz
80
- apply le_of_mul_le_mul_left _ (inv_pos_of_pos hδ)
81
- rw [inv_mul_cancel₀ hδ.ne']
82
- exact (hz.trans_eq hh).trans hv.total
83
-
84
- omit [Nonempty B] in
85
- theorem hung_var (P : B→Prop) (p q : Wgt B) (hp : carried p P) (hq : carried q P) :
86
- avg (unifOn P) (fun i => |density (unifOn P) p i-density (unifOn P) q i|)=varOne p q := by
87
- classical
88
- unfold avg varOne
89
- refine sum_congr rfl fun i _ => ?_
90
- rw [←abs_of_nonneg ((unifOn_sub P).nz i)]
91
- have he := density_hung P p hp i
92
-
93
- simp_rw [abs_of_nonneg ((unifOn_sub P).nz i)]
94
- calc _ = |unifOn P i * (density (unifOn P) p i - density (unifOn P) q i)| :=
95
- by rw [abs_mul,abs_of_nonneg ((unifOn_sub P).nz i)]
96
- _ = _ := by rw [mul_sub,he,density_hung P q hq i]
97
- end HadwigerCounterexample
98
-
99
- end
100
-
101
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.ConditionalFlags
2
+
3
+ namespace OAI
4
+
5
+ /-! # Restricted Comparison Laws -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Real
10
+ open scoped BigOperators
11
+ variable {A B C : Type} [Fintype A] [Fintype B] [Fintype C]
12
+
13
+ def hung (Q : Wgt B→Prop) (P : B→Prop) (w : Wgt B) :=
14
+ ∃ v : Wgt B, Q v ∧ w=subW v P
15
+ def smallSet (Q : Wgt B→Prop) (q : Wgt B) (δ η : ℝ) :=
16
+ ∀ p,Q p → ∀ P : B→ Prop, pr q P ≤ δ → pr p P ≤ η
17
+ def rosterTail (Q : Wgt B→Prop) (q : Wgt B) (R η : ℝ) :=
18
+ ∀ p,Q p → pr p (fun x => R≤density q p x)≤η
19
+
20
+ theorem hung_roster (Q : Wgt B → Prop) (P : B→Prop) (r : ℕ) (ε : ℝ) :
21
+ roster Q r ε → roster (hung Q P) r ε := by
22
+ classical
23
+ rintro ⟨t,ht,w,hw⟩
24
+ refine ⟨t,ht,fun i => subW (w i) P,?_⟩
25
+ rintro p ⟨v,h,rfl⟩
26
+ obtain ⟨i,hi⟩ := hw v h
27
+ refine ⟨i,le_trans ?_ hi⟩
28
+ unfold varOne subW
29
+ refine sum_le_sum fun x _ => ?_
30
+ by_cases h : P x <;> simp [ind,h]
31
+
32
+ variable [Nonempty B]
33
+
34
+ theorem hung_small (Q : Wgt B→Prop) (P : B→Prop) (δ η : ℝ)
35
+ (hq : smallSet Q unif δ η) : smallSet (hung Q P) (unifOn P) δ η := by
36
+ classical
37
+ rintro p ⟨v,hv,rfl⟩ S hs
38
+ rw [pr_sub]
39
+ refine hq v hv (fun x => P x∧ S x) ?_
40
+ rw [pr_of_on unif_law.nz,on_unif]
41
+ refine le_trans ?_ hs
42
+ have ht := (pr_le_tot (α:=B) (p:=P) unif_law.nz).trans unif_law.total.le
43
+ exact (mul_le_mul_of_nonneg_right ht (pr_nonneg (unifOn_sub _).nz)).trans_eq (one_mul _)
44
+
45
+ omit [Nonempty B] in
46
+ theorem density_hung (P : B→Prop) (w : Wgt B) (hw : carried w P) :
47
+ ∀ i, unifOn P i * density (unifOn P) w i=w i := by
48
+ classical
49
+ intro i
50
+ by_cases h : w i =0
51
+ · simp only [density,h,zero_div,mul_zero]
52
+ have ht : P i := not_not.mp fun hi => h (hw i hi)
53
+ have hn := unifOn_law (p:=P) ⟨i,ht⟩
54
+ have he : unifOn P i≠0 := by
55
+ rw [unifOn_val,ind_one ht]
56
+ have hh : nbr P ≠0 := by
57
+ have he := weight_le_tot (fun j => ind_nonneg (P j)) i
58
+ rw [ind_one ht] at he
59
+ exact (lt_of_lt_of_le zero_lt_one he).ne'
60
+ exact div_ne_zero one_ne_zero hh
61
+ unfold density; field_simp
62
+
63
+ theorem hung_tail (Q : Wgt B→Prop) (P : B→ Prop)
64
+ (h : ∀ p,Q p → SubLaw p) (δ η : ℝ)
65
+ (hδ : 0<δ) (hh : smallSet Q unif δ η) :
66
+ rosterTail (hung Q P) (unifOn P) δ⁻¹ η := by
67
+ intro p hp
68
+ apply hung_small Q P δ η hh p hp
69
+ obtain ⟨w,hw,rfl⟩ := hp
70
+ let q := unifOn P
71
+ let v := subW w P
72
+ let f := density q v
73
+ have hq := unifOn_sub P
74
+ have hv := subLaw_sub (h w hw) P
75
+ have hh :
76
+ avg q f = tot v := Finset.sum_congr rfl fun i _ => density_hung P v
77
+ (subW_carried w P) i
78
+ have hz := le_avg_markov hq.nz (fun i => div_nonneg (hv.nz i) (hq.nz i)) δ⁻¹
79
+ change δ⁻¹*pr q _≤avg q f at hz
80
+ apply le_of_mul_le_mul_left _ (inv_pos_of_pos hδ)
81
+ rw [inv_mul_cancel₀ hδ.ne']
82
+ exact (hz.trans_eq hh).trans hv.total
83
+
84
+ omit [Nonempty B] in
85
+ theorem hung_var (P : B→Prop) (p q : Wgt B) (hp : carried p P) (hq : carried q P) :
86
+ avg (unifOn P) (fun i => |density (unifOn P) p i-density (unifOn P) q i|)=varOne p q := by
87
+ classical
88
+ unfold avg varOne
89
+ refine sum_congr rfl fun i _ => ?_
90
+ rw [←abs_of_nonneg ((unifOn_sub P).nz i)]
91
+ have he := density_hung P p hp i
92
+
93
+ simp_rw [abs_of_nonneg ((unifOn_sub P).nz i)]
94
+ calc _ = |unifOn P i * (density (unifOn P) p i - density (unifOn P) q i)| :=
95
+ by rw [abs_mul,abs_of_nonneg ((unifOn_sub P).nz i)]
96
+ _ = _ := by rw [mul_sub,he,density_hung P q hq i]
97
+ end HadwigerCounterexample
98
+
99
+ end
100
+
101
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/RoundedRefinements.lean CHANGED
@@ -1,156 +1,156 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RefinementEnergy
2
-
3
- namespace OAI
4
-
5
- /-! # Rounded Refinements -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Filter Matrix Real
10
- open scoped BigOperators
11
- variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
-
13
- set_option maxHeartbeats 900000 in
14
- theorem divide_fit (q : Wgt B) (hq : IsLaw q) (f : B→C) (P : B→Prop)
15
- (δ γ : ℝ) (hγ : 0<γ) (hz : 2*γ ≤ δ) (h : stamina (mapW q f) δ) :
16
- ∃ F : B→C×Bool, f=Prod.fst∘F ∧ stamina (mapW q F) γ ∧
17
- pr q (fun i => ¬(P i ↔ (F i).2))≤num (C×Bool)*γ := by
18
- classical
19
- let g (i : B) : C × Bool := (f i,decide (P i))
20
- let Q := mapW q g
21
- have hQ := mapW_law hq g
22
- have hf : f=Prod.fst∘g := rfl
23
- have hi (i) : mapW q f i=Q (i,true)+Q (i,false) := by
24
- have hs : mapW q f=mapW Q Prod.fst := hf ▸ Eq.symm (map_nested g Prod.fst)
25
- rw [hs]
26
- simp only [mapW,pr,avg,Fintype.sum_prod_type,Fintype.sum_bool]; simp [ind,Finset.sum_add_distrib]
27
- let s (j:C×Bool) : Bool := if Q (j.1,true) < γ then false else
28
- if Q (j.1,false) < γ then true else j.2
29
- let F (j : C × Bool) : C × Bool := (j.1,s j)
30
- refine ⟨F ∘ g,rfl,?_,?_⟩
31
- · rintro ⟨i,b⟩ h'
32
- have hb :
33
- mapW Q F (i,b)=Q (i,true)*ind (s (i,true)=b)+
34
- Q (i,false)*ind (s (i,false)=b) := by
35
- unfold mapW pr avg
36
- rw [Fintype.sum_prod_type, sum_eq_single i]
37
- · rw [Fintype.sum_bool]; simp [ind,F]
38
- · intro j _ hj; rw [Fintype.sum_bool]; simp [ind,F,hj]
39
- simp
40
- rw [←map_nested,hb] at h' ⊢
41
- by_cases hx : Q (i,true)<γ
42
- · cases b
43
- · simp only [s,hx,ite_true,ind_true,mul_one] at *
44
- rw [←hi] at *
45
- exact le_trans (by linarith only [hz,hγ]) (h i h')
46
- simp [s,hx,ind] at h'
47
- by_cases hy : Q (i,false)<γ
48
- · cases b
49
- · simp [s,hx,hy,ind] at h'
50
- simp only [s,hx,hy,ite_true,ite_false,ind_true,mul_one] at *
51
- rw [←hi] at *
52
- exact le_trans (by linarith only [hz,hγ]) (h i h')
53
- cases b
54
- · simpa [s,hx,hy,ind] using (le_of_not_gt hy)
55
- simpa [s,hx,hy,ind] using (le_of_not_gt hx)
56
- let R (i : C×Bool) := i.2≠s i
57
- have he j : (¬ (P j ↔ (F (g j)).2)) ↔ R (g j) := by
58
- change (¬ (P j ↔ s (g j)=true)) ↔ decide (P j)≠s (g j)
59
- cases s (g j) <;> simp
60
- have h1 (j : C×Bool) : R j→ Q j≤γ := by
61
- intro hj
62
- rcases j with ⟨i,b⟩
63
- by_cases hx : Q (i,true)<γ
64
- · cases b
65
- · simp [R,s,hx] at hj
66
- exact hx.le
67
- by_cases hy : Q (i,false)<γ
68
- · cases b
69
- · exact hy.le
70
- simp [R,s,hx,hy] at hj
71
- simp [R,s,hx,hy] at hj
72
- have hg (j) : Q j * ind (R j) ≤ γ := by
73
- by_cases hh : R j
74
- · simpa only [ind_one hh,mul_one] using h1 j hh
75
- rw [ind_zero hh,mul_zero]; exact hγ.le
76
- simp_rw [Function.comp_apply,he]
77
- rw [← mapW_pr]
78
- exact (Finset.sum_le_sum fun i _ => hg i).trans_eq (by simp only [Finset.sum_const,
79
- Finset.card_univ,nsmul_eq_mul,num])
80
-
81
- theorem bucket_upper (w : Wgt B) (hw : SubLaw w) (q : Wgt B) (hq : IsLaw q)
82
- (f : B→ C) (δ : ℝ) (h0 : 0<δ) (hz : stamina (mapW q f) δ) :
83
- ∀ i,bucket q f w i ≤ δ⁻¹*q i := by
84
- intro i
85
- have he : mapW w f (f i) ≤1 := by
86
- exact (pr_le_tot hw.nz).trans hw.total
87
- unfold bucket pour
88
- by_cases hi : mapW q f (f i)=0
89
- · rw [hi,div_zero,mul_zero]; exact mul_nonneg (inv_pos_of_pos h0).le (hq.nz _)
90
- rw [mul_comm δ⁻¹]
91
- exact mul_le_mul_of_nonneg_left ((div_le_div₀ zero_le_one he h0 (hz _ hi)).trans_eq
92
- (one_div _)) (hq.nz _)
93
-
94
- theorem pr_ref_delta (w : Wgt A) (hw : ∀ i,0 ≤ w i) (P Q : A→ Prop) :
95
- pr w P ≤ pr w Q + pr w (fun i => ¬(P i↔Q i)) :=
96
- (pr_mono hw (q:=fun i => Q i ∨ ¬(P i↔Q i)) fun i _ => by tauto).trans (pr_or_le hw)
97
-
98
- variable {μ : Wgt A} {p : A →Wgt B}
99
-
100
- set_option maxHeartbeats 1000000 in
101
- theorem divide_progress [Nonempty B] (h : Ultra μ p)
102
- (ε δ α k : ℝ) (hε : 0<ε) (hk : 0<k) (hk' : 2*k≤1)
103
- (hδ : 0<δ) (hα : δ≤1)
104
- (hB : ∀ P : B→ Prop, pr unif P ≤α → pr (mixW μ p) P ≤ε)
105
- (f : B→ C) (hz : stamina (mapW unif f) δ)
106
- (hC : num (C×Bool)*k ≤min α ε)
107
- (w : Wgt B) (hw : catalog μ p w) (hr : 8*ε<varOne w (bucket unif f w)) :
108
- ∃ F : B → C×Bool, stamina (mapW unif F) (k*δ) ∧
109
- budget μ p f + ε^2 ≤ budget μ p F := by
110
- classical
111
- let q : Wgt B := unif
112
- have hq : IsLaw q := unif_law
113
- let v := bucket q f w
114
- have ht := h.cat_sub w hw
115
- let P (i : B) := v i < w i
116
- have hv (i) : 0≤v i := pour_nz _ hq.nz (map_nz ht.nz f) i
117
- have hh : varOne w v=2*(pr w P-pr v P) := by
118
- have hx : lsupp w q := fun i _ => by unfold q; rw [unif_apply]; positivity
119
- exact var_event w v (by rw [←map_mass w f,←map_mass v f,bucket_scale q w hq.nz hx])
120
- obtain ⟨F,hF,hφ,hL⟩ := divide_fit q hq f P δ (k*δ) (by positivity)
121
- ((le_of_eq (by rw [← mul_assoc])).trans ((mul_le_mul_of_nonneg_right hk' hδ.le).trans_eq
122
- (one_mul _))) hz
123
- refine ⟨F,hφ,?_⟩
124
- let Q := fun i : B => ((F i).2=true)
125
- let S := fun i => ¬(P i ↔ Q i)
126
- have h1 : pr w S ≤ ε := by
127
- obtain ⟨hu,he⟩ := h.cat_dom w hw
128
- have hs : pr q S ≤α := by
129
- have hμ := (le_min_iff.mp hC).1
130
- have : 0≤num (C×Bool) := Nat.cast_nonneg _
131
- exact hL.trans (by nlinarith only [this,hk,hα,hμ,
132
- mul_le_mul_of_nonneg_left hα (mul_nonneg this hk.le)])
133
- exact (pr_mono_left he S).trans (hB S hs)
134
- have h2 : pr v S ≤ ε := by
135
- have hh := (pr_cap (bucket_upper w ht q hq f δ hδ hz) S).trans
136
- (mul_le_mul_of_nonneg_left hL (inv_pos_of_pos hδ).le)
137
- exact hh.trans ((le_of_eq (by field_simp)).trans (le_min_iff.mp hC).2)
138
- have h3 : 2*ε < pr w Q-pr v Q := by
139
- have he := pr_ref_delta w ht.nz P Q
140
- have hr' := pr_ref_delta v hv Q P
141
- have heq : (fun i=>¬(Q i↔P i))=S := funext fun i => propext (by unfold S; tauto)
142
- rw [heq] at hr'
143
- change 8*ε < varOne w v at hr
144
- rw [hh] at hr; change pr w P≤pr w Q+pr w S at he
145
- linarith only [hr,h1,h2,he,hr']
146
- have h4 := var_pr (mapW w F) (mapW v F) (fun i:C×Bool => i.2=true)
147
- rw [mapW_pr,mapW_pr] at h4
148
- have he := budget_progress h w hw F Prod.fst
149
- change varOne _ (mapW (bucket q (Prod.fst ∘ F) w) F) ^ 2 ≤ _ at he
150
- rw [← hF] at he
151
- nlinarith only [he,hε,(le_trans h3.le h4)]
152
- end HadwigerCounterexample
153
-
154
- end
155
-
156
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RefinementEnergy
2
+
3
+ namespace OAI
4
+
5
+ /-! # Rounded Refinements -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Filter Matrix Real
10
+ open scoped BigOperators
11
+ variable {A B C D : Type} [Fintype A] [Fintype B] [Fintype C] [Fintype D]
12
+
13
+ set_option maxHeartbeats 900000 in
14
+ theorem divide_fit (q : Wgt B) (hq : IsLaw q) (f : B→C) (P : B→Prop)
15
+ (δ γ : ℝ) (hγ : 0<γ) (hz : 2*γ ≤ δ) (h : stamina (mapW q f) δ) :
16
+ ∃ F : B→C×Bool, f=Prod.fst∘F ∧ stamina (mapW q F) γ ∧
17
+ pr q (fun i => ¬(P i ↔ (F i).2))≤num (C×Bool)*γ := by
18
+ classical
19
+ let g (i : B) : C × Bool := (f i,decide (P i))
20
+ let Q := mapW q g
21
+ have hQ := mapW_law hq g
22
+ have hf : f=Prod.fst∘g := rfl
23
+ have hi (i) : mapW q f i=Q (i,true)+Q (i,false) := by
24
+ have hs : mapW q f=mapW Q Prod.fst := hf ▸ Eq.symm (map_nested g Prod.fst)
25
+ rw [hs]
26
+ simp only [mapW,pr,avg,Fintype.sum_prod_type,Fintype.sum_bool]; simp [ind,Finset.sum_add_distrib]
27
+ let s (j:C×Bool) : Bool := if Q (j.1,true) < γ then false else
28
+ if Q (j.1,false) < γ then true else j.2
29
+ let F (j : C × Bool) : C × Bool := (j.1,s j)
30
+ refine ⟨F ∘ g,rfl,?_,?_⟩
31
+ · rintro ⟨i,b⟩ h'
32
+ have hb :
33
+ mapW Q F (i,b)=Q (i,true)*ind (s (i,true)=b)+
34
+ Q (i,false)*ind (s (i,false)=b) := by
35
+ unfold mapW pr avg
36
+ rw [Fintype.sum_prod_type, sum_eq_single i]
37
+ · rw [Fintype.sum_bool]; simp [ind,F]
38
+ · intro j _ hj; rw [Fintype.sum_bool]; simp [ind,F,hj]
39
+ simp
40
+ rw [←map_nested,hb] at h' ⊢
41
+ by_cases hx : Q (i,true)<γ
42
+ · cases b
43
+ · simp only [s,hx,ite_true,ind_true,mul_one] at *
44
+ rw [←hi] at *
45
+ exact le_trans (by linarith only [hz,hγ]) (h i h')
46
+ simp [s,hx,ind] at h'
47
+ by_cases hy : Q (i,false)<γ
48
+ · cases b
49
+ · simp [s,hx,hy,ind] at h'
50
+ simp only [s,hx,hy,ite_true,ite_false,ind_true,mul_one] at *
51
+ rw [←hi] at *
52
+ exact le_trans (by linarith only [hz,hγ]) (h i h')
53
+ cases b
54
+ · simpa [s,hx,hy,ind] using (le_of_not_gt hy)
55
+ simpa [s,hx,hy,ind] using (le_of_not_gt hx)
56
+ let R (i : C×Bool) := i.2≠s i
57
+ have he j : (¬ (P j ↔ (F (g j)).2)) ↔ R (g j) := by
58
+ change (¬ (P j ↔ s (g j)=true)) ↔ decide (P j)≠s (g j)
59
+ cases s (g j) <;> simp
60
+ have h1 (j : C×Bool) : R j→ Q j≤γ := by
61
+ intro hj
62
+ rcases j with ⟨i,b⟩
63
+ by_cases hx : Q (i,true)<γ
64
+ · cases b
65
+ · simp [R,s,hx] at hj
66
+ exact hx.le
67
+ by_cases hy : Q (i,false)<γ
68
+ · cases b
69
+ · exact hy.le
70
+ simp [R,s,hx,hy] at hj
71
+ simp [R,s,hx,hy] at hj
72
+ have hg (j) : Q j * ind (R j) ≤ γ := by
73
+ by_cases hh : R j
74
+ · simpa only [ind_one hh,mul_one] using h1 j hh
75
+ rw [ind_zero hh,mul_zero]; exact hγ.le
76
+ simp_rw [Function.comp_apply,he]
77
+ rw [← mapW_pr]
78
+ exact (Finset.sum_le_sum fun i _ => hg i).trans_eq (by simp only [Finset.sum_const,
79
+ Finset.card_univ,nsmul_eq_mul,num])
80
+
81
+ theorem bucket_upper (w : Wgt B) (hw : SubLaw w) (q : Wgt B) (hq : IsLaw q)
82
+ (f : B→ C) (δ : ℝ) (h0 : 0<δ) (hz : stamina (mapW q f) δ) :
83
+ ∀ i,bucket q f w i ≤ δ⁻¹*q i := by
84
+ intro i
85
+ have he : mapW w f (f i) ≤1 := by
86
+ exact (pr_le_tot hw.nz).trans hw.total
87
+ unfold bucket pour
88
+ by_cases hi : mapW q f (f i)=0
89
+ · rw [hi,div_zero,mul_zero]; exact mul_nonneg (inv_pos_of_pos h0).le (hq.nz _)
90
+ rw [mul_comm δ⁻¹]
91
+ exact mul_le_mul_of_nonneg_left ((div_le_div₀ zero_le_one he h0 (hz _ hi)).trans_eq
92
+ (one_div _)) (hq.nz _)
93
+
94
+ theorem pr_ref_delta (w : Wgt A) (hw : ∀ i,0 ≤ w i) (P Q : A→ Prop) :
95
+ pr w P ≤ pr w Q + pr w (fun i => ¬(P i↔Q i)) :=
96
+ (pr_mono hw (q:=fun i => Q i ∨ ¬(P i↔Q i)) fun i _ => by tauto).trans (pr_or_le hw)
97
+
98
+ variable {μ : Wgt A} {p : A →Wgt B}
99
+
100
+ set_option maxHeartbeats 1000000 in
101
+ theorem divide_progress [Nonempty B] (h : Ultra μ p)
102
+ (ε δ α k : ℝ) (hε : 0<ε) (hk : 0<k) (hk' : 2*k≤1)
103
+ (hδ : 0<δ) (hα : δ≤1)
104
+ (hB : ∀ P : B→ Prop, pr unif P ≤α → pr (mixW μ p) P ≤ε)
105
+ (f : B→ C) (hz : stamina (mapW unif f) δ)
106
+ (hC : num (C×Bool)*k ≤min α ε)
107
+ (w : Wgt B) (hw : catalog μ p w) (hr : 8*ε<varOne w (bucket unif f w)) :
108
+ ∃ F : B → C×Bool, stamina (mapW unif F) (k*δ) ∧
109
+ budget μ p f + ε^2 ≤ budget μ p F := by
110
+ classical
111
+ let q : Wgt B := unif
112
+ have hq : IsLaw q := unif_law
113
+ let v := bucket q f w
114
+ have ht := h.cat_sub w hw
115
+ let P (i : B) := v i < w i
116
+ have hv (i) : 0≤v i := pour_nz _ hq.nz (map_nz ht.nz f) i
117
+ have hh : varOne w v=2*(pr w P-pr v P) := by
118
+ have hx : lsupp w q := fun i _ => by unfold q; rw [unif_apply]; positivity
119
+ exact var_event w v (by rw [←map_mass w f,←map_mass v f,bucket_scale q w hq.nz hx])
120
+ obtain ⟨F,hF,hφ,hL⟩ := divide_fit q hq f P δ (k*δ) (by positivity)
121
+ ((le_of_eq (by rw [← mul_assoc])).trans ((mul_le_mul_of_nonneg_right hk' hδ.le).trans_eq
122
+ (one_mul _))) hz
123
+ refine ⟨F,hφ,?_⟩
124
+ let Q := fun i : B => ((F i).2=true)
125
+ let S := fun i => ¬(P i ↔ Q i)
126
+ have h1 : pr w S ≤ ε := by
127
+ obtain ⟨hu,he⟩ := h.cat_dom w hw
128
+ have hs : pr q S ≤α := by
129
+ have hμ := (le_min_iff.mp hC).1
130
+ have : 0≤num (C×Bool) := Nat.cast_nonneg _
131
+ exact hL.trans (by nlinarith only [this,hk,hα,hμ,
132
+ mul_le_mul_of_nonneg_left hα (mul_nonneg this hk.le)])
133
+ exact (pr_mono_left he S).trans (hB S hs)
134
+ have h2 : pr v S ≤ ε := by
135
+ have hh := (pr_cap (bucket_upper w ht q hq f δ hδ hz) S).trans
136
+ (mul_le_mul_of_nonneg_left hL (inv_pos_of_pos hδ).le)
137
+ exact hh.trans ((le_of_eq (by field_simp)).trans (le_min_iff.mp hC).2)
138
+ have h3 : 2*ε < pr w Q-pr v Q := by
139
+ have he := pr_ref_delta w ht.nz P Q
140
+ have hr' := pr_ref_delta v hv Q P
141
+ have heq : (fun i=>¬(Q i↔P i))=S := funext fun i => propext (by unfold S; tauto)
142
+ rw [heq] at hr'
143
+ change 8*ε < varOne w v at hr
144
+ rw [hh] at hr; change pr w P≤pr w Q+pr w S at he
145
+ linarith only [hr,h1,h2,he,hr']
146
+ have h4 := var_pr (mapW w F) (mapW v F) (fun i:C×Bool => i.2=true)
147
+ rw [mapW_pr,mapW_pr] at h4
148
+ have he := budget_progress h w hw F Prod.fst
149
+ change varOne _ (mapW (bucket q (Prod.fst ∘ F) w) F) ^ 2 ≤ _ at he
150
+ rw [← hF] at he
151
+ nlinarith only [he,hε,(le_trans h3.le h4)]
152
+ end HadwigerCounterexample
153
+
154
+ end
155
+
156
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/SampledGraphs.lean CHANGED
@@ -1,102 +1,102 @@
1
- import OAI.Combinatorics.HadwigerMatching.BasicMatching
2
- import Mathlib.Data.Fintype.EquivFin
3
- import Mathlib.Combinatorics.SimpleGraph.Clique
4
- import Lean.Elab.Tactic.Omega
5
-
6
- namespace OAI
7
-
8
- /-! # Sampled Graphs -/
9
-
10
- noncomputable section
11
- namespace HadwigerCounterexample
12
- open HadwigerMatching Finset
13
- variable {A V : Type*}
14
-
15
- structure Holes (A : Type*) where
16
- rel : A → A → Prop
17
- sym {x y : A} : rel x y → rel y x
18
- irr (x : A) : ¬ rel x x
19
- ntri {x y z : A} : rel x y → rel y z → ¬ rel x z
20
-
21
- namespace Holes
22
-
23
- variable (H : Holes A)
24
- def unit (p : A × A) := ¬H.rel p.1 p.2
25
- def conflict (p q : A × A) := H.rel p.1 q.1 ∧ H.rel p.1 q.2 ∧ H.rel p.2 q.1 ∧ H.rel p.2 q.2
26
-
27
- theorem no_self_conflict (p : A × A) : ¬ H.conflict p p := fun h => H.irr p.1 h.1
28
-
29
- def graph (x : V → A) : SimpleGraph V where
30
- Adj i j := i ≠ j ∧ ¬H.rel (x i) (x j)
31
- symm := ⟨fun _ _ ⟨hne,h⟩ => ⟨hne.symm,fun h' => h (H.sym h')⟩⟩
32
- loopless := ⟨fun _ h => h.1 rfl⟩
33
-
34
- theorem indepNum_graph_le [Fintype V] (x : V → A) : (graph H x).indepNum ≤ 2 := by
35
- classical
36
- obtain ⟨S, hS, he⟩ := (graph H x).exists_isNIndepSet_indepNum
37
- rw [← he]
38
- by_contra h
39
- have hr : Fintype.card (Fin 3) ≤ Fintype.card S := by simp; omega
40
- obtain ⟨e⟩ := Function.Embedding.nonempty_of_card_le hr
41
- let f : Fin 3 → V := fun i => e i
42
- have hf {i j} (h : i ≠ j) : H.rel (x (f i)) (x (f j)) := by
43
- by_contra hp
44
- apply hS (show f i ∈ (S : Set V) from (e i).property)
45
- (show f j ∈ (S : Set V) from (e j).property)
46
- (show f i ≠ f j from fun g => h (e.injective (Subtype.ext g)))
47
- exact ⟨fun g => h (e.injective (Subtype.ext g)), hp⟩
48
- exact H.ntri (hf (i:=0) (j:=1) (by decide)) (hf (j:=2) (by decide))
49
- (hf (by decide))
50
-
51
- /-- Enumerate endpoints of an actual maximum connected matching on positions to
52
- obtain pairwise disjoint ordered pairs; their raw unit types do not conflict. -/
53
- theorem matching_pairs [Fintype V] (x : V → A) :
54
- let t := connectedMatchingNumber (graph H x)
55
- ∃ e : (Fin t ⊕ Fin t) → V, Function.Injective e ∧
56
- let f : Fin t → A × A := fun i => (x (e (.inl i)), x (e (.inr i)))
57
- (∀ i, H.unit (f i)) ∧ (∀ i j, ¬H.conflict (f i) (f j)) := by
58
- classical
59
- let G := graph H x
60
- let t := connectedMatchingNumber G
61
- obtain ⟨M,hM,hc⟩ := exists_matching_card_eq_number G
62
- have ht : Fintype.card M = t := by rw [Fintype.card_coe,hc]
63
- let m := (Fintype.equivFinOfCardEq ht).symm
64
- let m' (i : Fin t) : Finset V := (m i).val
65
- have hm i : m' i ∈ M := (m i).property
66
- have hex (i : Fin t) : ∃ v w : V, v ≠ w ∧ m' i = {v,w} :=
67
- card_eq_two.mp (hM.1 _ (hm i)).1
68
- choose v w hv he using hex
69
- let e := Sum.elim v w
70
- have hmem (i : Fin t ⊕ Fin t) : e i ∈ m' (Sum.elim id id i) := by
71
- cases i <;> simp [e,he]
72
- have hminj : Function.Injective m' := fun i j g => m.injective (Subtype.ext g)
73
- have hei : Function.Injective e := by
74
- intro i j h
75
- have hi : Sum.elim id id i = Sum.elim id id j := by
76
- by_contra hn
77
- have hh := hM.2.1 _ (hm _) _ (hm _) (hminj.ne hn)
78
- exact Finset.disjoint_left.mp hh (hmem i) (by rw [h]; exact hmem j)
79
- cases i <;> cases j <;> simp_all [e]
80
- exact hv _ h.symm
81
- refine ⟨e, hei, fun i => ?_, fun i j => ?_⟩
82
- · have h1 : v i ∈ m' i := by simp [he]
83
- have h2 : w i ∈ m' i := by simp [he]
84
- exact ((hM.1 _ (hm i)).2 h1 h2 (hv i)).2
85
- · by_cases h : i = j
86
- · subst j; exact no_self_conflict _ _
87
- · obtain ⟨a,ha,b,hb,hadj⟩ := hM.2.2 _ (hm i) _ (hm j) (hminj.ne h)
88
- have ha' : a = v i ∨ a = w i := by simpa [he] using ha
89
- have hb' : b = v j ∨ b = w j := by simpa [he] using hb
90
- intro hz
91
- apply hadj.2
92
- rcases ha' with h1|h1 <;> rcases hb' with h2|h2 <;> rw [h1,h2]
93
- · exact hz.1
94
- · exact hz.2.1
95
- · exact hz.2.2.1
96
- · exact hz.2.2.2
97
- end Holes
98
- end HadwigerCounterexample
99
-
100
- end
101
-
102
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerMatching.BasicMatching
2
+ import Mathlib.Data.Fintype.EquivFin
3
+ import Mathlib.Combinatorics.SimpleGraph.Clique
4
+ import Lean.Elab.Tactic.Omega
5
+
6
+ namespace OAI
7
+
8
+ /-! # Sampled Graphs -/
9
+
10
+ noncomputable section
11
+ namespace HadwigerCounterexample
12
+ open HadwigerMatching Finset
13
+ variable {A V : Type*}
14
+
15
+ structure Holes (A : Type*) where
16
+ rel : A → A → Prop
17
+ sym {x y : A} : rel x y → rel y x
18
+ irr (x : A) : ¬ rel x x
19
+ ntri {x y z : A} : rel x y → rel y z → ¬ rel x z
20
+
21
+ namespace Holes
22
+
23
+ variable (H : Holes A)
24
+ def unit (p : A × A) := ¬H.rel p.1 p.2
25
+ def conflict (p q : A × A) := H.rel p.1 q.1 ∧ H.rel p.1 q.2 ∧ H.rel p.2 q.1 ∧ H.rel p.2 q.2
26
+
27
+ theorem no_self_conflict (p : A × A) : ¬ H.conflict p p := fun h => H.irr p.1 h.1
28
+
29
+ def graph (x : V → A) : SimpleGraph V where
30
+ Adj i j := i ≠ j ∧ ¬H.rel (x i) (x j)
31
+ symm := ⟨fun _ _ ⟨hne,h⟩ => ⟨hne.symm,fun h' => h (H.sym h')⟩⟩
32
+ loopless := ⟨fun _ h => h.1 rfl⟩
33
+
34
+ theorem indepNum_graph_le [Fintype V] (x : V → A) : (graph H x).indepNum ≤ 2 := by
35
+ classical
36
+ obtain ⟨S, hS, he⟩ := (graph H x).exists_isNIndepSet_indepNum
37
+ rw [← he]
38
+ by_contra h
39
+ have hr : Fintype.card (Fin 3) ≤ Fintype.card S := by simp; omega
40
+ obtain ⟨e⟩ := Function.Embedding.nonempty_of_card_le hr
41
+ let f : Fin 3 → V := fun i => e i
42
+ have hf {i j} (h : i ≠ j) : H.rel (x (f i)) (x (f j)) := by
43
+ by_contra hp
44
+ apply hS (show f i ∈ (S : Set V) from (e i).property)
45
+ (show f j ∈ (S : Set V) from (e j).property)
46
+ (show f i ≠ f j from fun g => h (e.injective (Subtype.ext g)))
47
+ exact ⟨fun g => h (e.injective (Subtype.ext g)), hp⟩
48
+ exact H.ntri (hf (i:=0) (j:=1) (by decide)) (hf (j:=2) (by decide))
49
+ (hf (by decide))
50
+
51
+ /-- Enumerate endpoints of an actual maximum connected matching on positions to
52
+ obtain pairwise disjoint ordered pairs; their raw unit types do not conflict. -/
53
+ theorem matching_pairs [Fintype V] (x : V → A) :
54
+ let t := connectedMatchingNumber (graph H x)
55
+ ∃ e : (Fin t ⊕ Fin t) → V, Function.Injective e ∧
56
+ let f : Fin t → A × A := fun i => (x (e (.inl i)), x (e (.inr i)))
57
+ (∀ i, H.unit (f i)) ∧ (∀ i j, ¬H.conflict (f i) (f j)) := by
58
+ classical
59
+ let G := graph H x
60
+ let t := connectedMatchingNumber G
61
+ obtain ⟨M,hM,hc⟩ := exists_matching_card_eq_number G
62
+ have ht : Fintype.card M = t := by rw [Fintype.card_coe,hc]
63
+ let m := (Fintype.equivFinOfCardEq ht).symm
64
+ let m' (i : Fin t) : Finset V := (m i).val
65
+ have hm i : m' i ∈ M := (m i).property
66
+ have hex (i : Fin t) : ∃ v w : V, v ≠ w ∧ m' i = {v,w} :=
67
+ card_eq_two.mp (hM.1 _ (hm i)).1
68
+ choose v w hv he using hex
69
+ let e := Sum.elim v w
70
+ have hmem (i : Fin t ⊕ Fin t) : e i ∈ m' (Sum.elim id id i) := by
71
+ cases i <;> simp [e,he]
72
+ have hminj : Function.Injective m' := fun i j g => m.injective (Subtype.ext g)
73
+ have hei : Function.Injective e := by
74
+ intro i j h
75
+ have hi : Sum.elim id id i = Sum.elim id id j := by
76
+ by_contra hn
77
+ have hh := hM.2.1 _ (hm _) _ (hm _) (hminj.ne hn)
78
+ exact Finset.disjoint_left.mp hh (hmem i) (by rw [h]; exact hmem j)
79
+ cases i <;> cases j <;> simp_all [e]
80
+ exact hv _ h.symm
81
+ refine ⟨e, hei, fun i => ?_, fun i j => ?_⟩
82
+ · have h1 : v i ∈ m' i := by simp [he]
83
+ have h2 : w i ∈ m' i := by simp [he]
84
+ exact ((hM.1 _ (hm i)).2 h1 h2 (hv i)).2
85
+ · by_cases h : i = j
86
+ · subst j; exact no_self_conflict _ _
87
+ · obtain ⟨a,ha,b,hb,hadj⟩ := hM.2.2 _ (hm i) _ (hm j) (hminj.ne h)
88
+ have ha' : a = v i ∨ a = w i := by simpa [he] using ha
89
+ have hb' : b = v j ∨ b = w j := by simpa [he] using hb
90
+ intro hz
91
+ apply hadj.2
92
+ rcases ha' with h1|h1 <;> rcases hb' with h2|h2 <;> rw [h1,h2]
93
+ · exact hz.1
94
+ · exact hz.2.1
95
+ · exact hz.2.2.1
96
+ · exact hz.2.2.2
97
+ end Holes
98
+ end HadwigerCounterexample
99
+
100
+ end
101
+
102
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ScalarStatusAlgebra.lean CHANGED
@@ -1,162 +1,162 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.BasisConditioning
2
-
3
- namespace OAI
4
-
5
- /-! # Scalar Status Algebra -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Matrix LinearMap Submodule Finset Function Module
10
- open scoped BigOperators
11
-
12
- namespace StatusAnalysis
13
- abbrev Nodes := Bool
14
- abbrev Grid := Nodes × Nodes
15
- abbrev Cell (d : ℕ) := Vec (Fin d)
16
-
17
- abbrev Par (d : ℕ) := F × Cell d
18
- abbrev Whole (d : ℕ) := Par d × F
19
-
20
- abbrev Signal (d e : ℕ) := F × Whole d × Whole e
21
- abbrev View (d e : ℕ) := F × Par d × Par e
22
- abbrev Question (d e : ℕ) := F × F × Cell d × Cell e
23
- variable {d e : ℕ}
24
-
25
- def view (d e : ℕ) : Signal d e→ₗ[F] View d e where
26
- toFun x := (x.1,x.2.1.1,x.2.2.1)
27
- map_add' _ _ := rfl
28
- map_smul' _ _ := rfl
29
- def testV (d e : ℕ) : View d e →ₗ[F] Question d e where
30
- toFun x := (x.1,x.2.1.1 + x.2.2.1,x.2.1.2,x.2.2.2)
31
- map_add' _ _ := Prod.ext rfl (Prod.ext (add_add_add_comm ..) rfl)
32
- map_smul' _ _ := Prod.ext rfl (Prod.ext (mul_add _ _ _).symm rfl)
33
- def want (d e : ℕ) := testV d e ∘ₗ view d e
34
-
35
- def couple (d : ℕ) : Whole d→ₗ[F] F where
36
- toFun x := x.1.1+x.2
37
- map_add' _ _ := add_add_add_comm ..
38
- map_smul' a _ := (mul_add a _ _).symm
39
-
40
- def coverBase (V : Space (Signal d e)) := Surjective (view d e ∘ₗ V.subtype)
41
- theorem testV_surj (d e : ℕ) : Surjective (testV d e) := by
42
- rintro ⟨a,b,x,y⟩
43
- exact ⟨(a,(b,x),(0,y)),Prod.ext rfl (Prod.ext (add_zero _) rfl)⟩
44
- theorem coversFull {V : Space (Signal d e)} (h : coverBase V) : Surjective (want d e ∘ₗ V.subtype) :=
45
- (testV_surj _ _).comp h
46
-
47
- abbrev Rates := Nodes→ℕ
48
- abbrev Suite (A B : Rates) (i : Grid) := Signal (A i.1) (B i.2)
49
- abbrev LedgerS (A B : Rates) (i : Grid) := Question (A i.1) (B i.2)
50
- abbrev Cabinet (A B : Rates) := ∀ i, LedgerS A B i
51
- abbrev Quota := Vec Nodes
52
- abbrev Court (A B : Rates) := Cabinet A B × Quota × Quota
53
- abbrev StatusSp (A B : Rates) := ∀ i,Space (Suite A B i)
54
- variable {A B : Rates}
55
-
56
- def separate (A B : Rates) (i : Grid) :
57
- Suite A B i →ₗ[F] Court A B :=
58
- (LinearMap.single F (LedgerS A B) i ∘ₗ want _ _).prod
59
- ((LinearMap.single F (fun _ : Bool=>F) i.2 ∘ₗ
60
- (couple (A i.1) ∘ₗ LinearMap.fst F _ _ ∘ₗ LinearMap.snd F _ _)).prod
61
- (LinearMap.single F (fun _ : Bool=>F) i.1 ∘ₗ
62
- (couple (B i.2) ∘ₗ LinearMap.snd F _ _ ∘ₗ LinearMap.snd F _ _)))
63
-
64
- def speak (A B : Rates) :
65
- (∀ i,Suite A B i) →ₗ[F] Court A B := ∑ i:Grid,separate A B i ∘ₗ LinearMap.proj i
66
-
67
- theorem speak_solo (A B : Rates) (i : Grid) (x : Suite A B i) :
68
- speak A B (Pi.single i x)=separate A B i x := by
69
- classical
70
- unfold speak; rw [LinearMap.sum_apply,sum_eq_single i]
71
- · rw [LinearMap.comp_apply]; change separate _ _ _ ((Pi.single i x : ∀ i, Suite A B i) i)=_
72
- rw [Pi.single_eq_same]
73
- · intro j _ hj; rw [LinearMap.comp_apply]
74
- change separate _ _ _ ((Pi.single i x : ∀ i, Suite A B i) j)=_
75
- rw [Pi.single_eq_of_ne hj,map_zero]
76
- simp
77
-
78
- def scorecard (V : StatusSp A B) (T : Cabinet A B) :=
79
- ∃ v : ∀ i,Suite A B i,(∀ i,v i∈V i) ∧ speak A B v=(T,0)
80
-
81
- structure Critic (A B : Rates) where
82
- alf : ∀ i : Grid, LedgerS A B i →ₗ[F] F
83
- altL : Quota
84
- altR : Quota
85
- def Counter (g : Critic A B) (V : StatusSp A B) :=
86
- ∀ i:Grid,∀ v∈V i, g.alf i (want _ _ v) =
87
- g.altL i.2 * couple _ v.2.1 + g.altR i.1 * couple _ v.2.2
88
-
89
- private theorem vanishes {M : Type} [AddCommGroup M] [Module F M] (V : Space M) {z}
90
- (h : z∉ V) :
91
- ∃ f:M→ₗ[F] F,f z ≠0 ∧ ∀ i∈V,f i=0 := by
92
- have he : V.mkQ z ≠0 := fun hg=>h ((Submodule.Quotient.mk_eq_zero V).mp hg)
93
- obtain ⟨f,hf⟩ := Module.Projective.exists_dual_ne_zero F he
94
- exact ⟨f ∘ₗ V.mkQ,hf,fun i hi =>by rw [LinearMap.comp_apply,show V.mkQ i=0 from
95
- (Submodule.Quotient.mk_eq_zero V).mpr hi,map_zero]⟩
96
-
97
- set_option maxHeartbeats 800000 in
98
- theorem counter_score (V : StatusSp A B) (T : Cabinet A B)
99
- (h : ¬scorecard V T) :
100
- ∃ g : Critic A B,Counter g V ∧ ∑ i,g.alf i (T i)≠0 := by
101
- classical
102
- let S := (Submodule.pi Set.univ V).map (speak A B)
103
- have ht : (T,(0 : Quota × Quota))∉ S := by
104
- rintro ⟨z,hz,he⟩
105
- exact h ⟨z,fun i => hz i (Set.mem_univ _),he⟩
106
- obtain ⟨f,hf,hx⟩ := vanishes S ht
107
- let g : Critic A B := {
108
- alf := fun i => f ∘ₗ LinearMap.inl F (Cabinet A B) _ ∘ₗ LinearMap.single F _ i
109
- altL := fun i=> f (0,Pi.single i 1,0)
110
- altR := fun i=> f (0,0,Pi.single i 1) }
111
- refine ⟨g,fun i v hv => ?_,?_⟩
112
- · have hi :
113
- f (separate A B i v)=0 := by
114
- apply hx
115
- refine ⟨Pi.single i v,?_,speak_solo A B i v⟩
116
- intro j _
117
- by_cases ht : j=i
118
- · subst j; rwa [Pi.single_eq_same]
119
- rw [Pi.single_eq_of_ne ht]; exact zero_mem _
120
- let a:= couple _ v.2.1
121
- let b:= couple _ v.2.2
122
- let Q:= want _ _ v
123
- have hh (a:F) (i:Bool) :
124
- (a • Pi.single i 1 : Quota)=Pi.single i a := by
125
- ext j; by_cases he:j=i <;> simp [he]
126
- have hz :
127
- separate A B i v =
128
- ( (Pi.single i Q : Cabinet A B),0) + (a • (0,Pi.single i.2 1,(0:Quota))+
129
- b • (0,(0:Quota),Pi.single i.1 1)) := by
130
- change ((Pi.single i Q:Cabinet A B),(Pi.single i.2 a:Quota),(Pi.single i.1 b:Quota))=_
131
- apply Prod.ext; simp
132
- apply Prod.ext <;> simp [hh]
133
- rw [hz,map_add,map_add,map_smul,map_smul] at hi
134
- change g.alf i Q+(a*g.altL i.2+b*g.altR i.1)=0 at hi
135
- change _=g.altL _ * a+g.altR _ * b
136
- rw [mul_comm _ a,mul_comm _ b]
137
- exact add_right_cancel (hi.trans (char_two _).symm)
138
- · have hh (i) : g.alf i (T i)=f ((Pi.single i (T i) : Cabinet A B),0) := rfl
139
- have ht : ∑ i:Grid, ((Pi.single i (T i) : Cabinet A B),(0 : Quota × Quota))=
140
- (T,0) := by
141
- apply Prod.ext
142
- · rw [Prod.fst_sum]; exact Finset.univ_sum_single _
143
- · simp only [Prod.snd_sum,Finset.sum_const_zero]
144
- simp_rw [hh, ← map_sum,ht]
145
- exact hf
146
-
147
- theorem critic_nz (V : StatusSp A B) (T : Cabinet A B) (hV : ∀ i,coverBase (V i)) (g : Critic A B)
148
- (h : Counter g V) (hh : ∑ i,g.alf i (T i)≠0) : g.altL≠0 ∨ g.altR≠0 := by
149
- classical
150
- by_contra! hz
151
- apply hh; apply Finset.sum_eq_zero
152
- intro i _
153
- obtain ⟨⟨v,hv⟩,ht⟩ := coversFull (hV i) (T i)
154
- simpa only [show want (A i.1) (B i.2) v=T i from ht,hz.1,hz.2,Pi.zero_apply,zero_mul,add_zero]
155
- using h i v hv
156
-
157
- end StatusAnalysis
158
- end HadwigerCounterexample
159
-
160
- end
161
-
162
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.BasisConditioning
2
+
3
+ namespace OAI
4
+
5
+ /-! # Scalar Status Algebra -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Matrix LinearMap Submodule Finset Function Module
10
+ open scoped BigOperators
11
+
12
+ namespace StatusAnalysis
13
+ abbrev Nodes := Bool
14
+ abbrev Grid := Nodes × Nodes
15
+ abbrev Cell (d : ℕ) := Vec (Fin d)
16
+
17
+ abbrev Par (d : ℕ) := F × Cell d
18
+ abbrev Whole (d : ℕ) := Par d × F
19
+
20
+ abbrev Signal (d e : ℕ) := F × Whole d × Whole e
21
+ abbrev View (d e : ℕ) := F × Par d × Par e
22
+ abbrev Question (d e : ℕ) := F × F × Cell d × Cell e
23
+ variable {d e : ℕ}
24
+
25
+ def view (d e : ℕ) : Signal d e→ₗ[F] View d e where
26
+ toFun x := (x.1,x.2.1.1,x.2.2.1)
27
+ map_add' _ _ := rfl
28
+ map_smul' _ _ := rfl
29
+ def testV (d e : ℕ) : View d e →ₗ[F] Question d e where
30
+ toFun x := (x.1,x.2.1.1 + x.2.2.1,x.2.1.2,x.2.2.2)
31
+ map_add' _ _ := Prod.ext rfl (Prod.ext (add_add_add_comm ..) rfl)
32
+ map_smul' _ _ := Prod.ext rfl (Prod.ext (mul_add _ _ _).symm rfl)
33
+ def want (d e : ℕ) := testV d e ∘ₗ view d e
34
+
35
+ def couple (d : ℕ) : Whole d→ₗ[F] F where
36
+ toFun x := x.1.1+x.2
37
+ map_add' _ _ := add_add_add_comm ..
38
+ map_smul' a _ := (mul_add a _ _).symm
39
+
40
+ def coverBase (V : Space (Signal d e)) := Surjective (view d e ∘ₗ V.subtype)
41
+ theorem testV_surj (d e : ℕ) : Surjective (testV d e) := by
42
+ rintro ⟨a,b,x,y⟩
43
+ exact ⟨(a,(b,x),(0,y)),Prod.ext rfl (Prod.ext (add_zero _) rfl)⟩
44
+ theorem coversFull {V : Space (Signal d e)} (h : coverBase V) : Surjective (want d e ∘ₗ V.subtype) :=
45
+ (testV_surj _ _).comp h
46
+
47
+ abbrev Rates := Nodes→ℕ
48
+ abbrev Suite (A B : Rates) (i : Grid) := Signal (A i.1) (B i.2)
49
+ abbrev LedgerS (A B : Rates) (i : Grid) := Question (A i.1) (B i.2)
50
+ abbrev Cabinet (A B : Rates) := ∀ i, LedgerS A B i
51
+ abbrev Quota := Vec Nodes
52
+ abbrev Court (A B : Rates) := Cabinet A B × Quota × Quota
53
+ abbrev StatusSp (A B : Rates) := ∀ i,Space (Suite A B i)
54
+ variable {A B : Rates}
55
+
56
+ def separate (A B : Rates) (i : Grid) :
57
+ Suite A B i →ₗ[F] Court A B :=
58
+ (LinearMap.single F (LedgerS A B) i ∘ₗ want _ _).prod
59
+ ((LinearMap.single F (fun _ : Bool=>F) i.2 ∘ₗ
60
+ (couple (A i.1) ∘ₗ LinearMap.fst F _ _ ∘ₗ LinearMap.snd F _ _)).prod
61
+ (LinearMap.single F (fun _ : Bool=>F) i.1 ∘ₗ
62
+ (couple (B i.2) ∘ₗ LinearMap.snd F _ _ ∘ₗ LinearMap.snd F _ _)))
63
+
64
+ def speak (A B : Rates) :
65
+ (∀ i,Suite A B i) →ₗ[F] Court A B := ∑ i:Grid,separate A B i ∘ₗ LinearMap.proj i
66
+
67
+ theorem speak_solo (A B : Rates) (i : Grid) (x : Suite A B i) :
68
+ speak A B (Pi.single i x)=separate A B i x := by
69
+ classical
70
+ unfold speak; rw [LinearMap.sum_apply,sum_eq_single i]
71
+ · rw [LinearMap.comp_apply]; change separate _ _ _ ((Pi.single i x : ∀ i, Suite A B i) i)=_
72
+ rw [Pi.single_eq_same]
73
+ · intro j _ hj; rw [LinearMap.comp_apply]
74
+ change separate _ _ _ ((Pi.single i x : ∀ i, Suite A B i) j)=_
75
+ rw [Pi.single_eq_of_ne hj,map_zero]
76
+ simp
77
+
78
+ def scorecard (V : StatusSp A B) (T : Cabinet A B) :=
79
+ ∃ v : ∀ i,Suite A B i,(∀ i,v i∈V i) ∧ speak A B v=(T,0)
80
+
81
+ structure Critic (A B : Rates) where
82
+ alf : ∀ i : Grid, LedgerS A B i →ₗ[F] F
83
+ altL : Quota
84
+ altR : Quota
85
+ def Counter (g : Critic A B) (V : StatusSp A B) :=
86
+ ∀ i:Grid,∀ v∈V i, g.alf i (want _ _ v) =
87
+ g.altL i.2 * couple _ v.2.1 + g.altR i.1 * couple _ v.2.2
88
+
89
+ private theorem vanishes {M : Type} [AddCommGroup M] [Module F M] (V : Space M) {z}
90
+ (h : z∉ V) :
91
+ ∃ f:M→ₗ[F] F,f z ≠0 ∧ ∀ i∈V,f i=0 := by
92
+ have he : V.mkQ z ≠0 := fun hg=>h ((Submodule.Quotient.mk_eq_zero V).mp hg)
93
+ obtain ⟨f,hf⟩ := Module.Projective.exists_dual_ne_zero F he
94
+ exact ⟨f ∘ₗ V.mkQ,hf,fun i hi =>by rw [LinearMap.comp_apply,show V.mkQ i=0 from
95
+ (Submodule.Quotient.mk_eq_zero V).mpr hi,map_zero]⟩
96
+
97
+ set_option maxHeartbeats 800000 in
98
+ theorem counter_score (V : StatusSp A B) (T : Cabinet A B)
99
+ (h : ¬scorecard V T) :
100
+ ∃ g : Critic A B,Counter g V ∧ ∑ i,g.alf i (T i)≠0 := by
101
+ classical
102
+ let S := (Submodule.pi Set.univ V).map (speak A B)
103
+ have ht : (T,(0 : Quota × Quota))∉ S := by
104
+ rintro ⟨z,hz,he⟩
105
+ exact h ⟨z,fun i => hz i (Set.mem_univ _),he⟩
106
+ obtain ⟨f,hf,hx⟩ := vanishes S ht
107
+ let g : Critic A B := {
108
+ alf := fun i => f ∘ₗ LinearMap.inl F (Cabinet A B) _ ∘ₗ LinearMap.single F _ i
109
+ altL := fun i=> f (0,Pi.single i 1,0)
110
+ altR := fun i=> f (0,0,Pi.single i 1) }
111
+ refine ⟨g,fun i v hv => ?_,?_⟩
112
+ · have hi :
113
+ f (separate A B i v)=0 := by
114
+ apply hx
115
+ refine ⟨Pi.single i v,?_,speak_solo A B i v⟩
116
+ intro j _
117
+ by_cases ht : j=i
118
+ · subst j; rwa [Pi.single_eq_same]
119
+ rw [Pi.single_eq_of_ne ht]; exact zero_mem _
120
+ let a:= couple _ v.2.1
121
+ let b:= couple _ v.2.2
122
+ let Q:= want _ _ v
123
+ have hh (a:F) (i:Bool) :
124
+ (a • Pi.single i 1 : Quota)=Pi.single i a := by
125
+ ext j; by_cases he:j=i <;> simp [he]
126
+ have hz :
127
+ separate A B i v =
128
+ ( (Pi.single i Q : Cabinet A B),0) + (a • (0,Pi.single i.2 1,(0:Quota))+
129
+ b • (0,(0:Quota),Pi.single i.1 1)) := by
130
+ change ((Pi.single i Q:Cabinet A B),(Pi.single i.2 a:Quota),(Pi.single i.1 b:Quota))=_
131
+ apply Prod.ext; simp
132
+ apply Prod.ext <;> simp [hh]
133
+ rw [hz,map_add,map_add,map_smul,map_smul] at hi
134
+ change g.alf i Q+(a*g.altL i.2+b*g.altR i.1)=0 at hi
135
+ change _=g.altL _ * a+g.altR _ * b
136
+ rw [mul_comm _ a,mul_comm _ b]
137
+ exact add_right_cancel (hi.trans (char_two _).symm)
138
+ · have hh (i) : g.alf i (T i)=f ((Pi.single i (T i) : Cabinet A B),0) := rfl
139
+ have ht : ∑ i:Grid, ((Pi.single i (T i) : Cabinet A B),(0 : Quota × Quota))=
140
+ (T,0) := by
141
+ apply Prod.ext
142
+ · rw [Prod.fst_sum]; exact Finset.univ_sum_single _
143
+ · simp only [Prod.snd_sum,Finset.sum_const_zero]
144
+ simp_rw [hh, ← map_sum,ht]
145
+ exact hf
146
+
147
+ theorem critic_nz (V : StatusSp A B) (T : Cabinet A B) (hV : ∀ i,coverBase (V i)) (g : Critic A B)
148
+ (h : Counter g V) (hh : ∑ i,g.alf i (T i)≠0) : g.altL≠0 ∨ g.altR≠0 := by
149
+ classical
150
+ by_contra! hz
151
+ apply hh; apply Finset.sum_eq_zero
152
+ intro i _
153
+ obtain ⟨⟨v,hv⟩,ht⟩ := coversFull (hV i) (T i)
154
+ simpa only [show want (A i.1) (B i.2) v=T i from ht,hz.1,hz.2,Pi.zero_apply,zero_mul,add_zero]
155
+ using h i v hv
156
+
157
+ end StatusAnalysis
158
+ end HadwigerCounterexample
159
+
160
+ end
161
+
162
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/ScriptGramCorrespondence.lean CHANGED
@@ -1,104 +1,104 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.EndpointEvaluations
2
-
3
- namespace OAI
4
-
5
- /-! # Script Gram Correspondence -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Finset Matrix LinearMap Function
10
- open scoped BigOperators
11
- variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
-
13
- namespace Template
14
- variable (v : Template p I)
15
-
16
- def lyrics (s : Script p I) (i : v.Chorus) : Vec (v.Abbey i) :=
17
- match i with
18
- | .inl z => Sum.elim (fun j => if j.2 then s z.val.1 z.val.2 j.1 else s z.val.2 z.val.1 j.1)
19
- (fun _ => 0)
20
- | .inr _ => 0
21
- def performs (s : Script p I) (m : Mixer p n) (x : UnitType p n N) (z : Inputs p n I) :=
22
- listen v.choral (v.chime m x) z=v.lyrics s
23
-
24
- omit [DecidableEq I] in
25
- theorem across_duet (v : Template p I) {i j} (h : i ≠ j) :
26
- ∃ k : v.Chorus,v.verses k=(i,j)∨v.verses k=(j,i) := by
27
- classical
28
- let e := Fintype.equivFin I
29
- by_cases hg : v.aim i=v.aim j
30
- · rcases lt_or_gt_of_ne (e.injective.ne h) with hh|hh
31
- · exact ⟨.inl ⟨⟨i,j⟩,hg,hh⟩,Or.inl rfl⟩
32
- exact ⟨.inl ⟨⟨j,i⟩,hg.symm,hh⟩,Or.inr rfl⟩
33
- cases hi : v.aim i <;> cases hj : v.aim j
34
- · simp [hi,hj] at hg
35
- · exact ⟨.inr ⟨⟨j,i⟩,hj,hi⟩,Or.inr rfl⟩
36
- · exact ⟨.inr ⟨⟨i,j⟩,hi,hj⟩,Or.inl rfl⟩
37
- simp [hi,hj] at hg
38
-
39
- def voices (v : Template p I) (x : Keys (p:=p) v.t N) (i j) (e : Comp p.g) (a : inc e (v.t i))
40
- (b : inc e (v.t j)) (q : Bool) :=
41
- dotProduct (x i ⟨e,a⟩ q) (x j ⟨e,b⟩ (!q))
42
-
43
- omit [Fintype I] [DecidableEq I] in
44
- theorem voice_note (v : Template p I) (x : UnitType p n N) (z : Inputs p n I)
45
- (e : Comp p.g) (i j) (a : inc e (v.t i)) (b : inc e (v.t j)) (q : Bool) :
46
- v.voices ((v.draw z).keys v.t x) i j e a b q=evmat
47
- (duel p (onSide x (v.aim i) e) (onSide x (v.aim j) e) q)
48
- (v.croon i (z i)) (v.croon j (z j)) := by
49
- let P := primary (takeSign (p:=p) (onSide x (v.aim i) e) q)
50
- let Q := primary (takeSign (p:=p) (onSide x (v.aim j) e) (!q))
51
- let u := v.croon i (z i); let t := v.croon j (z j)
52
- change dotProduct (P *ᵥ u) (Q *ᵥ t)=dotProduct u ((Pᵀ *Q)*ᵥ t)
53
- rw [← mulVec_mulVec,dotProduct_transpose_mulVec]
54
- exact dotProduct_comm _ _
55
-
56
- omit [Fintype I] [DecidableEq I] in
57
- theorem voice_same (v : Template p I) (x : UnitType p n N) (z : Inputs p n I)
58
- (m : Mixer p n) (hw : ∀ i,frameLaw m (onSide x i))
59
- (e : Comp p.g) (i j) (a : inc e (v.t i)) (b : inc e (v.t j))
60
- (h : v.aim i=v.aim j) (q : Bool) :
61
- v.voices ((v.draw z).keys v.t x) i j e a b q=evmat
62
- (eitherM q (selfM p n m.mixM)) (v.croon i (z i)) (v.croon j (z j)) := by
63
- rw [voice_note,h]
64
- let y := onSide x (v.aim j) e
65
- have he : (primary y.1)ᵀ*primary y.2=selfM p n m.mixM := (hw (v.aim j) e).2.2.1
66
- congr 1
67
- unfold duel
68
- cases q
69
- · change (primary y.2)ᵀ*primary y.1=_
70
- rw [←he]; simp only [eitherM,Bool.false_eq_true,ite_false, transpose_mul,transpose_transpose]
71
- exact he
72
-
73
- def verges (v : Template p I) (x : Keys (p:=p) v.t N) (i j) :=
74
- ∀ e a b q,v.voices x i j e a b q=0
75
- omit [Fintype I] [DecidableEq I] in
76
- theorem verges_rev (v : Template p I) {x : Keys (p:=p) v.t N} {i j}
77
- (h : v.verges x i j) : v.verges x j i := by
78
- intro e a b q
79
- have ht := h e b a (!q)
80
- unfold voices at *; rw [dotProduct_comm]; rwa [Bool.not_not] at ht
81
-
82
- omit [Fintype I] [DecidableEq I] in
83
- theorem voices_diag (v : Template p I) (m : Mixer p n) (x : UnitType p n N)
84
- (w : Inputs p n I) (hw : ∀ i,frameLaw m (onSide x i)) (hj : 1≤p.j) (i : I) :
85
- ownOne p (v.t i) (dialed p (v.t i) (v.f i) (w i))
86
- ((v.draw w).keys v.t x i) := by
87
- intro e
88
- let y := (v.draw w).par i
89
- let A := mom p (v.s i) y
90
- have h : A∈Wspace p n := Submodule.subset_span ⟨_,_,rfl⟩
91
- have he := v.voice_same x w m hw e.val i i e.property e.property rfl true
92
- let E := selfM p n m.mixM
93
- change v.voices _ i i e.val e.property e.property true=_
94
- rw [he]
95
- change evmat E (point p _ y) (point p _ y)=_
96
- rw [← mpair_outer]
97
- exact (selfM_pair p hj m.mixM h).trans (etaScan p (n:=n) (v.t i) (v.s i) _ (w i)).symm
98
-
99
- end Template
100
- end HadwigerCounterexample
101
-
102
- end
103
-
104
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.EndpointEvaluations
2
+
3
+ namespace OAI
4
+
5
+ /-! # Script Gram Correspondence -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Finset Matrix LinearMap Function
10
+ open scoped BigOperators
11
+ variable {p : Shape} {n N : ℕ} {I : Type} [Fintype I] [DecidableEq I]
12
+
13
+ namespace Template
14
+ variable (v : Template p I)
15
+
16
+ def lyrics (s : Script p I) (i : v.Chorus) : Vec (v.Abbey i) :=
17
+ match i with
18
+ | .inl z => Sum.elim (fun j => if j.2 then s z.val.1 z.val.2 j.1 else s z.val.2 z.val.1 j.1)
19
+ (fun _ => 0)
20
+ | .inr _ => 0
21
+ def performs (s : Script p I) (m : Mixer p n) (x : UnitType p n N) (z : Inputs p n I) :=
22
+ listen v.choral (v.chime m x) z=v.lyrics s
23
+
24
+ omit [DecidableEq I] in
25
+ theorem across_duet (v : Template p I) {i j} (h : i ≠ j) :
26
+ ∃ k : v.Chorus,v.verses k=(i,j)∨v.verses k=(j,i) := by
27
+ classical
28
+ let e := Fintype.equivFin I
29
+ by_cases hg : v.aim i=v.aim j
30
+ · rcases lt_or_gt_of_ne (e.injective.ne h) with hh|hh
31
+ · exact ⟨.inl ⟨⟨i,j⟩,hg,hh⟩,Or.inl rfl⟩
32
+ exact ⟨.inl ⟨⟨j,i⟩,hg.symm,hh⟩,Or.inr rfl⟩
33
+ cases hi : v.aim i <;> cases hj : v.aim j
34
+ · simp [hi,hj] at hg
35
+ · exact ⟨.inr ⟨⟨j,i⟩,hj,hi⟩,Or.inr rfl⟩
36
+ · exact ⟨.inr ⟨⟨i,j⟩,hi,hj⟩,Or.inl rfl⟩
37
+ simp [hi,hj] at hg
38
+
39
+ def voices (v : Template p I) (x : Keys (p:=p) v.t N) (i j) (e : Comp p.g) (a : inc e (v.t i))
40
+ (b : inc e (v.t j)) (q : Bool) :=
41
+ dotProduct (x i ⟨e,a⟩ q) (x j ⟨e,b⟩ (!q))
42
+
43
+ omit [Fintype I] [DecidableEq I] in
44
+ theorem voice_note (v : Template p I) (x : UnitType p n N) (z : Inputs p n I)
45
+ (e : Comp p.g) (i j) (a : inc e (v.t i)) (b : inc e (v.t j)) (q : Bool) :
46
+ v.voices ((v.draw z).keys v.t x) i j e a b q=evmat
47
+ (duel p (onSide x (v.aim i) e) (onSide x (v.aim j) e) q)
48
+ (v.croon i (z i)) (v.croon j (z j)) := by
49
+ let P := primary (takeSign (p:=p) (onSide x (v.aim i) e) q)
50
+ let Q := primary (takeSign (p:=p) (onSide x (v.aim j) e) (!q))
51
+ let u := v.croon i (z i); let t := v.croon j (z j)
52
+ change dotProduct (P *ᵥ u) (Q *ᵥ t)=dotProduct u ((Pᵀ *Q)*ᵥ t)
53
+ rw [← mulVec_mulVec,dotProduct_transpose_mulVec]
54
+ exact dotProduct_comm _ _
55
+
56
+ omit [Fintype I] [DecidableEq I] in
57
+ theorem voice_same (v : Template p I) (x : UnitType p n N) (z : Inputs p n I)
58
+ (m : Mixer p n) (hw : ∀ i,frameLaw m (onSide x i))
59
+ (e : Comp p.g) (i j) (a : inc e (v.t i)) (b : inc e (v.t j))
60
+ (h : v.aim i=v.aim j) (q : Bool) :
61
+ v.voices ((v.draw z).keys v.t x) i j e a b q=evmat
62
+ (eitherM q (selfM p n m.mixM)) (v.croon i (z i)) (v.croon j (z j)) := by
63
+ rw [voice_note,h]
64
+ let y := onSide x (v.aim j) e
65
+ have he : (primary y.1)ᵀ*primary y.2=selfM p n m.mixM := (hw (v.aim j) e).2.2.1
66
+ congr 1
67
+ unfold duel
68
+ cases q
69
+ · change (primary y.2)ᵀ*primary y.1=_
70
+ rw [←he]; simp only [eitherM,Bool.false_eq_true,ite_false, transpose_mul,transpose_transpose]
71
+ exact he
72
+
73
+ def verges (v : Template p I) (x : Keys (p:=p) v.t N) (i j) :=
74
+ ∀ e a b q,v.voices x i j e a b q=0
75
+ omit [Fintype I] [DecidableEq I] in
76
+ theorem verges_rev (v : Template p I) {x : Keys (p:=p) v.t N} {i j}
77
+ (h : v.verges x i j) : v.verges x j i := by
78
+ intro e a b q
79
+ have ht := h e b a (!q)
80
+ unfold voices at *; rw [dotProduct_comm]; rwa [Bool.not_not] at ht
81
+
82
+ omit [Fintype I] [DecidableEq I] in
83
+ theorem voices_diag (v : Template p I) (m : Mixer p n) (x : UnitType p n N)
84
+ (w : Inputs p n I) (hw : ∀ i,frameLaw m (onSide x i)) (hj : 1≤p.j) (i : I) :
85
+ ownOne p (v.t i) (dialed p (v.t i) (v.f i) (w i))
86
+ ((v.draw w).keys v.t x i) := by
87
+ intro e
88
+ let y := (v.draw w).par i
89
+ let A := mom p (v.s i) y
90
+ have h : A∈Wspace p n := Submodule.subset_span ⟨_,_,rfl⟩
91
+ have he := v.voice_same x w m hw e.val i i e.property e.property rfl true
92
+ let E := selfM p n m.mixM
93
+ change v.voices _ i i e.val e.property e.property true=_
94
+ rw [he]
95
+ change evmat E (point p _ y) (point p _ y)=_
96
+ rw [← mpair_outer]
97
+ exact (selfM_pair p hj m.mixM h).trans (etaScan p (n:=n) (v.t i) (v.s i) _ (w i)).symm
98
+
99
+ end Template
100
+ end HadwigerCounterexample
101
+
102
+ end
103
+
104
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/SimultaneousProjection.lean CHANGED
@@ -1,142 +1,142 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.AdaptiveProjectionBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Simultaneous Projection -/
6
-
7
- noncomputable section
8
- namespace HadwigerCounterexample
9
- open Filter Finset Matrix
10
- open scoped BigOperators Topology
11
- namespace StatusAnalysis
12
- open Station PreparationParameters
13
-
14
- variable {p : Shape} {M s0 n N K : ℕ} {q:Format} {d e:Rates}
15
- {l:Filter ℕ} {b:PreparationParameters} {m:cycleM p} {w:tale p M} {s:rhythms p M}
16
-
17
- def sparks (v : Stations p M b.pins s) (i:Scrip p b.pins) (m:cycleM p) (w:tale p M)
18
- {r} (n:ℕ) (Y: Silhouette p (M*n) r) :=
19
- Station.stratum (v n) i.2.2 (m n) (w n) i.2.1 Y
20
-
21
- def bullseye (v: Stations p M K s) (m:cycleM p) (w:tale p M) (x:Typus p q d e)
22
- (k : Fin (2^deckMax p K)) (ε : ℝ) {r : ℕ} (n : ℕ) (Y : Silhouette p (M*n) r)
23
- (τ u:ℝ) :=
24
- ∀ (r':ℕ) (Y':Silhouette p (M*n) r'),refines Y' Y →
25
- ∀ τ' δ:ℝ,τ'≤τ →
26
- pr ((s n).sap (w n)) (fun i=>¬ gauze p τ' δ Y' (m n) K i) ≤u →
27
- Station.stratum (v n) x (m n) (w n) k Y'≤ ε
28
-
29
- set_option maxHeartbeats 2400000 in
30
- theorem glowLamp (v:Stations p M b.pins s) (h:veil p M b s0 l m s w) (x:Typus p q d e)
31
- (k:Fin (2^deckMax p b.pins)) (hP:x.permission) (ε:ℝ) (he:0<ε) :
32
- ∃ (r : ℕ) (τ u:ℝ), 0<τ∧0<u∧∀ᶠ n in l,∃ Y:Silhouette p (M*n) r,
33
- bullseye v m w x k ε n Y τ u := by
34
- classical
35
- have hq:=h.easel; have ht:=hq.enter.first
36
- obtain ⟨z,η,hη,hX⟩:=projectCut x hP k h v ε he
37
- let a:= η/(12*(z+1:ℝ))
38
- have ha:0<a:=by unfold a; positivity
39
- obtain ⟨i,u,c,hi,hc,hA⟩:= x.qA.sideRelease x.t x.z M hq hP.2.1 a ha
40
- obtain ⟨j,v',C,hj,hC,hB⟩:= x.qB.sideRelease x.t x.z M hq hP.2.2.1 a ha
41
- let f:=fun _ : Fin z=>i*j; let r:=bouquet f
42
- let τ:= min u v'
43
- refine ⟨r,τ,a,lt_min hi hj,ha,?_⟩
44
- have hz:= (trend_sizes l h.timeL ht.hM).2
45
- filter_upwards [hX,h.upright,h.durableS.shape,h.durableS.mass.positive,h.moment,
46
- hA.filter_mono h.timeL,hB.filter_mono h.timeL,
47
- ((bp_nat_vanish hc).eventually (eventually_le_nhds ha)).filter_mono h.timeL,
48
- ((bp_nat_vanish hC).eventually (eventually_le_nhds ha)).filter_mono h.timeL,
49
- hz.eventually (eventually_ge_atTop (2*num (Messenger q×Toast p)+1))]
50
- with n hn ha' hB' hW he' hA hB hM hV hG
51
- let N:=M*n; let p0:=s n
52
- obtain ⟨P,hP'⟩:=hn
53
- let e k y:=ind (P y=k)
54
- have heq k y : |e k y| ≤1 := by unfold e; rw [abs_of_nonneg (ind_nonneg _)]; exact ind_le_one _
55
- choose X hF using fun i:Fin z=> hA (e i) (heq i)
56
- choose Z hF' using fun i:Fin z=> hB (e i) (heq i)
57
- let Y k:=duoY (X k) (Z k)
58
- refine ⟨bundleY f Y,fun r Y' hR τ' δ hτ hpos=>?_⟩
59
- apply hP' r Y'
60
- have hw:=he'.1.law
61
- let hh:=hB'.1
62
- have hx' i : IsLaw (x.qA.policies x.t x.z n i) :=
63
- Appearance.witLaw (x.qA.allure_apt _ _ hP.2.1 _) ht.hR ha'.age
64
- have hy' i : IsLaw (x.qB.policies x.t x.z n i) :=
65
- Appearance.witLaw (x.qB.allure_apt _ _ hP.2.2.1 _) ht.hR ha'.age
66
- have hN:= show 2*num (Messenger q×Toast p)-(N:ℝ) ≤ -1 from by
67
- change _ ≤ (N:ℝ) at hG; linarith only [hG]
68
- have hp := nuLaw x.t x.z hN
69
- have ht' : ∀ i:Fin z,refines Y' (Y i) := fun i=> refines_next hR (bundle_refines f Y i)
70
- refine (projectSum (v n) x (m n) k (w n) Y' P hh.part hw (fun i hi=>(hh.leaf i hi).pos)
71
- hW hx' hy' hp a u v' τ' a δ ha.le hP ⟨hτ.trans (min_le_left ..),hτ.trans (min_le_right ..)⟩
72
- hpos (fun i=>?_) (fun i=>?_)).trans ?_
73
- · exact (hF i _ Y' (refines_next (ht' i) (duo_good ..).1) _ _ ha').trans hM
74
- · exact (hF' i _ Y' (refines_next (ht' i) (duo_good ..).2) _ _ ha').trans hV
75
- have hi : 12*(z+1:ℝ)*a=η := by unfold a; field_simp
76
- nlinarith only [hi,ha,(Nat.cast_nonneg z : 0≤(z:ℝ))]
77
-
78
- private theorem minimums {A:Type} [Fintype A] (x : Wgt A) (hx:∀ i,0<x i) :
79
- ∃ ε : ℝ,0<ε ∧ ∀ i, ε ≤ x i := by
80
- classical
81
- cases isEmpty_or_nonempty A
82
- next he => exact ⟨1,zero_lt_one,fun i=> (he.false i).elim⟩
83
- next he =>
84
- let f:= univ.image x
85
- have hf : f.Nonempty := Finset.image_nonempty.mpr Finset.univ_nonempty
86
- obtain ⟨i,hi,ht⟩:= mem_image.mp (Finset.min'_mem _ hf)
87
- exact ⟨f.min' hf,ht ▸ hx i,fun i=>Finset.min'_le _ _ (mem_image_of_mem _ (mem_univ i))⟩
88
-
89
- set_option maxHeartbeats 1400000 in
90
- theorem twinkle (v:Stations p M b.pins s) (h:veil p M b s0 l m s w)
91
- (ε:ℝ) (he:0<ε) :
92
- ∃ (r : ℕ) (τ u:ℝ),0<τ∧0<u∧∀ᶠ n in l,∃ Y:Silhouette p (M*n) r,
93
- ∀ i:Scrip p b.pins, i.2.2.permission → bullseye v m w i.2.2 i.2.1 ε n Y τ u := by
94
- classical
95
- choose r q A hr hq hh using
96
- (fun i:Scrip p b.pins=> show ∃ (r : ℕ) (τ u:ℝ),0<τ∧0<u∧∀ᶠ n in l,
97
- ∃ Y:Silhouette p (M*n) r, i.2.2.permission → bullseye v m w i.2.2 i.2.1 ε n Y τ u from by
98
- by_cases hP : i.2.2.permission
99
- · obtain ⟨r,τ,u,hτ,hu,hh⟩:=glowLamp v h i.2.2 i.2.1 hP ε he
100
- refine ⟨r,τ,u,hτ,hu, hh.mono (fun i hi=> ?_)⟩
101
- obtain ⟨Y,hY⟩:=hi; exact ⟨Y,fun _=>hY⟩
102
- exact ⟨1,1,1,zero_lt_one,zero_lt_one,.of_forall (fun n=> ⟨fun _ _ _=>0,fun hi=>(hP hi).elim⟩)⟩)
103
- obtain ⟨δ,hd,hd'⟩:=minimums q hr
104
- obtain ⟨e,he,he'⟩:=minimums A hq
105
- refine ⟨bouquet r,δ,e,hd,he,?_⟩
106
- filter_upwards [eventually_all.mpr hh] with n hn
107
- choose F hF using hn
108
- refine ⟨bundleY r F,fun i hi r' Y' hR τ' δ' hτ hp=> ?_⟩
109
- exact hF i hi r' Y' (refines_next hR (bundle_refines r F i)) _ _ (hτ.trans (hd' _)) (hp.trans (he' _))
110
-
111
- set_option maxHeartbeats 1200000 in
112
- theorem lateSilk (v:Stations p M b.pins s) (h:veil p M b s0 l m s w)
113
- (ε η:ℝ) (he:0<ε) (hη:0<η) (L:ℕ) :
114
- ∃ (r:ℕ) (δ:ℝ),0<δ ∧ (r+1:ℝ)*δ≤η ∧ ∀ᶠ n in l,
115
- ∀ Y:Silhouette p (M*n) L,∃ X:Silhouette p (M*n) r, refines X Y ∧
116
- pr ((s n).sap (w n)) (fun i=>¬ gauze p δ δ X (m n) b.pins i)≤ η ∧
117
- ∀ i:Scrip p b.pins,i.2.2.permission →
118
- sparks (b:=b) v i m w n X ≤ ε := by
119
- classical
120
- obtain ⟨r,τ,u,hτ,hu,hg⟩:= twinkle v h ε he
121
- let d:=r*L
122
- let a:= d+1; let δ := min τ (η/(a:ℝ))
123
- have hD : 0<(a:ℝ):=by unfold a; positivity
124
- have hd : 0<δ:=lt_min hτ (by positivity)
125
- have hb := gauzeCalendar p d M h.easel δ δ hd hd
126
- refine ⟨d,δ,hd,?_,?_⟩
127
- · have hh := (le_div_iff₀ hD).mp (show δ ≤ η/(a:ℝ) from min_le_right ..)
128
- rw [mul_comm]; simpa [a] using hh
129
- filter_upwards [hg,hb.filter_mono h.timeL,h.upright,((bp_nat_vanish (by norm_num :
130
- (0:ℝ)<1/100)).eventually (eventually_le_nhds (lt_min hu hη))).filter_mono h.timeL]
131
- with n hn hb hc hz Y
132
- obtain ⟨X,hX⟩:=hn
133
- let Z:= duoY X Y
134
- have hm := (hb _ _ hc Z).trans hz
135
- exact ⟨Z,(duo_good X Y).2,hm.trans (min_le_right ..),fun i h=> hX i h d Z (duo_good X Y).1
136
- δ δ (min_le_left ..) (hm.trans (min_le_left ..))⟩
137
- end StatusAnalysis
138
- end HadwigerCounterexample
139
-
140
- end
141
-
142
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.AdaptiveProjectionBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Simultaneous Projection -/
6
+
7
+ noncomputable section
8
+ namespace HadwigerCounterexample
9
+ open Filter Finset Matrix
10
+ open scoped BigOperators Topology
11
+ namespace StatusAnalysis
12
+ open Station PreparationParameters
13
+
14
+ variable {p : Shape} {M s0 n N K : ℕ} {q:Format} {d e:Rates}
15
+ {l:Filter ℕ} {b:PreparationParameters} {m:cycleM p} {w:tale p M} {s:rhythms p M}
16
+
17
+ def sparks (v : Stations p M b.pins s) (i:Scrip p b.pins) (m:cycleM p) (w:tale p M)
18
+ {r} (n:ℕ) (Y: Silhouette p (M*n) r) :=
19
+ Station.stratum (v n) i.2.2 (m n) (w n) i.2.1 Y
20
+
21
+ def bullseye (v: Stations p M K s) (m:cycleM p) (w:tale p M) (x:Typus p q d e)
22
+ (k : Fin (2^deckMax p K)) (ε : ℝ) {r : ℕ} (n : ℕ) (Y : Silhouette p (M*n) r)
23
+ (τ u:ℝ) :=
24
+ ∀ (r':ℕ) (Y':Silhouette p (M*n) r'),refines Y' Y →
25
+ ∀ τ' δ:ℝ,τ'≤τ →
26
+ pr ((s n).sap (w n)) (fun i=>¬ gauze p τ' δ Y' (m n) K i) ≤u →
27
+ Station.stratum (v n) x (m n) (w n) k Y'≤ ε
28
+
29
+ set_option maxHeartbeats 2400000 in
30
+ theorem glowLamp (v:Stations p M b.pins s) (h:veil p M b s0 l m s w) (x:Typus p q d e)
31
+ (k:Fin (2^deckMax p b.pins)) (hP:x.permission) (ε:ℝ) (he:0<ε) :
32
+ ∃ (r : ℕ) (τ u:ℝ), 0<τ∧0<u∧∀ᶠ n in l,∃ Y:Silhouette p (M*n) r,
33
+ bullseye v m w x k ε n Y τ u := by
34
+ classical
35
+ have hq:=h.easel; have ht:=hq.enter.first
36
+ obtain ⟨z,η,hη,hX⟩:=projectCut x hP k h v ε he
37
+ let a:= η/(12*(z+1:ℝ))
38
+ have ha:0<a:=by unfold a; positivity
39
+ obtain ⟨i,u,c,hi,hc,hA⟩:= x.qA.sideRelease x.t x.z M hq hP.2.1 a ha
40
+ obtain ⟨j,v',C,hj,hC,hB⟩:= x.qB.sideRelease x.t x.z M hq hP.2.2.1 a ha
41
+ let f:=fun _ : Fin z=>i*j; let r:=bouquet f
42
+ let τ:= min u v'
43
+ refine ⟨r,τ,a,lt_min hi hj,ha,?_⟩
44
+ have hz:= (trend_sizes l h.timeL ht.hM).2
45
+ filter_upwards [hX,h.upright,h.durableS.shape,h.durableS.mass.positive,h.moment,
46
+ hA.filter_mono h.timeL,hB.filter_mono h.timeL,
47
+ ((bp_nat_vanish hc).eventually (eventually_le_nhds ha)).filter_mono h.timeL,
48
+ ((bp_nat_vanish hC).eventually (eventually_le_nhds ha)).filter_mono h.timeL,
49
+ hz.eventually (eventually_ge_atTop (2*num (Messenger q×Toast p)+1))]
50
+ with n hn ha' hB' hW he' hA hB hM hV hG
51
+ let N:=M*n; let p0:=s n
52
+ obtain ⟨P,hP'⟩:=hn
53
+ let e k y:=ind (P y=k)
54
+ have heq k y : |e k y| ≤1 := by unfold e; rw [abs_of_nonneg (ind_nonneg _)]; exact ind_le_one _
55
+ choose X hF using fun i:Fin z=> hA (e i) (heq i)
56
+ choose Z hF' using fun i:Fin z=> hB (e i) (heq i)
57
+ let Y k:=duoY (X k) (Z k)
58
+ refine ⟨bundleY f Y,fun r Y' hR τ' δ hτ hpos=>?_⟩
59
+ apply hP' r Y'
60
+ have hw:=he'.1.law
61
+ let hh:=hB'.1
62
+ have hx' i : IsLaw (x.qA.policies x.t x.z n i) :=
63
+ Appearance.witLaw (x.qA.allure_apt _ _ hP.2.1 _) ht.hR ha'.age
64
+ have hy' i : IsLaw (x.qB.policies x.t x.z n i) :=
65
+ Appearance.witLaw (x.qB.allure_apt _ _ hP.2.2.1 _) ht.hR ha'.age
66
+ have hN:= show 2*num (Messenger q×Toast p)-(N:ℝ) ≤ -1 from by
67
+ change _ ≤ (N:ℝ) at hG; linarith only [hG]
68
+ have hp := nuLaw x.t x.z hN
69
+ have ht' : ∀ i:Fin z,refines Y' (Y i) := fun i=> refines_next hR (bundle_refines f Y i)
70
+ refine (projectSum (v n) x (m n) k (w n) Y' P hh.part hw (fun i hi=>(hh.leaf i hi).pos)
71
+ hW hx' hy' hp a u v' τ' a δ ha.le hP ⟨hτ.trans (min_le_left ..),hτ.trans (min_le_right ..)⟩
72
+ hpos (fun i=>?_) (fun i=>?_)).trans ?_
73
+ · exact (hF i _ Y' (refines_next (ht' i) (duo_good ..).1) _ _ ha').trans hM
74
+ · exact (hF' i _ Y' (refines_next (ht' i) (duo_good ..).2) _ _ ha').trans hV
75
+ have hi : 12*(z+1:ℝ)*a=η := by unfold a; field_simp
76
+ nlinarith only [hi,ha,(Nat.cast_nonneg z : 0≤(z:ℝ))]
77
+
78
+ private theorem minimums {A:Type} [Fintype A] (x : Wgt A) (hx:∀ i,0<x i) :
79
+ ∃ ε : ℝ,0<ε ∧ ∀ i, ε ≤ x i := by
80
+ classical
81
+ cases isEmpty_or_nonempty A
82
+ next he => exact ⟨1,zero_lt_one,fun i=> (he.false i).elim⟩
83
+ next he =>
84
+ let f:= univ.image x
85
+ have hf : f.Nonempty := Finset.image_nonempty.mpr Finset.univ_nonempty
86
+ obtain ⟨i,hi,ht⟩:= mem_image.mp (Finset.min'_mem _ hf)
87
+ exact ⟨f.min' hf,ht ▸ hx i,fun i=>Finset.min'_le _ _ (mem_image_of_mem _ (mem_univ i))⟩
88
+
89
+ set_option maxHeartbeats 1400000 in
90
+ theorem twinkle (v:Stations p M b.pins s) (h:veil p M b s0 l m s w)
91
+ (ε:ℝ) (he:0<ε) :
92
+ ∃ (r : ℕ) (τ u:ℝ),0<τ∧0<u∧∀ᶠ n in l,∃ Y:Silhouette p (M*n) r,
93
+ ∀ i:Scrip p b.pins, i.2.2.permission → bullseye v m w i.2.2 i.2.1 ε n Y τ u := by
94
+ classical
95
+ choose r q A hr hq hh using
96
+ (fun i:Scrip p b.pins=> show ∃ (r : ℕ) (τ u:ℝ),0<τ∧0<u∧∀ᶠ n in l,
97
+ ∃ Y:Silhouette p (M*n) r, i.2.2.permission → bullseye v m w i.2.2 i.2.1 ε n Y τ u from by
98
+ by_cases hP : i.2.2.permission
99
+ · obtain ⟨r,τ,u,hτ,hu,hh⟩:=glowLamp v h i.2.2 i.2.1 hP ε he
100
+ refine ⟨r,τ,u,hτ,hu, hh.mono (fun i hi=> ?_)⟩
101
+ obtain ⟨Y,hY⟩:=hi; exact ⟨Y,fun _=>hY⟩
102
+ exact ⟨1,1,1,zero_lt_one,zero_lt_one,.of_forall (fun n=> ⟨fun _ _ _=>0,fun hi=>(hP hi).elim⟩)⟩)
103
+ obtain ⟨δ,hd,hd'⟩:=minimums q hr
104
+ obtain ⟨e,he,he'⟩:=minimums A hq
105
+ refine ⟨bouquet r,δ,e,hd,he,?_⟩
106
+ filter_upwards [eventually_all.mpr hh] with n hn
107
+ choose F hF using hn
108
+ refine ⟨bundleY r F,fun i hi r' Y' hR τ' δ' hτ hp=> ?_⟩
109
+ exact hF i hi r' Y' (refines_next hR (bundle_refines r F i)) _ _ (hτ.trans (hd' _)) (hp.trans (he' _))
110
+
111
+ set_option maxHeartbeats 1200000 in
112
+ theorem lateSilk (v:Stations p M b.pins s) (h:veil p M b s0 l m s w)
113
+ (ε η:ℝ) (he:0<ε) (hη:0<η) (L:ℕ) :
114
+ ∃ (r:ℕ) (δ:ℝ),0<δ ∧ (r+1:ℝ)*δ≤η ∧ ∀ᶠ n in l,
115
+ ∀ Y:Silhouette p (M*n) L,∃ X:Silhouette p (M*n) r, refines X Y ∧
116
+ pr ((s n).sap (w n)) (fun i=>¬ gauze p δ δ X (m n) b.pins i)≤ η ∧
117
+ ∀ i:Scrip p b.pins,i.2.2.permission →
118
+ sparks (b:=b) v i m w n X ≤ ε := by
119
+ classical
120
+ obtain ⟨r,τ,u,hτ,hu,hg⟩:= twinkle v h ε he
121
+ let d:=r*L
122
+ let a:= d+1; let δ := min τ (η/(a:ℝ))
123
+ have hD : 0<(a:ℝ):=by unfold a; positivity
124
+ have hd : 0<δ:=lt_min hτ (by positivity)
125
+ have hb := gauzeCalendar p d M h.easel δ δ hd hd
126
+ refine ⟨d,δ,hd,?_,?_⟩
127
+ · have hh := (le_div_iff₀ hD).mp (show δ ≤ η/(a:ℝ) from min_le_right ..)
128
+ rw [mul_comm]; simpa [a] using hh
129
+ filter_upwards [hg,hb.filter_mono h.timeL,h.upright,((bp_nat_vanish (by norm_num :
130
+ (0:ℝ)<1/100)).eventually (eventually_le_nhds (lt_min hu hη))).filter_mono h.timeL]
131
+ with n hn hb hc hz Y
132
+ obtain ⟨X,hX⟩:=hn
133
+ let Z:= duoY X Y
134
+ have hm := (hb _ _ hc Z).trans hz
135
+ exact ⟨Z,(duo_good X Y).2,hm.trans (min_le_right ..),fun i h=> hX i h d Z (duo_good X Y).1
136
+ δ δ (min_le_left ..) (hm.trans (min_le_left ..))⟩
137
+ end StatusAnalysis
138
+ end HadwigerCounterexample
139
+
140
+ end
141
+
142
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/SinglePositionExpansion.lean CHANGED
@@ -1,82 +1,82 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.FourCornerViews
2
- import OAI.Combinatorics.HadwigerCounterexample.ScriptGramCorrespondence
3
-
4
- namespace OAI
5
-
6
- /-! # Single Position Expansion -/
7
-
8
- noncomputable section
9
- namespace HadwigerCounterexample
10
- open Finset Function Matrix
11
- open scoped BigOperators
12
- variable {I A B C : Type} [Fintype I] [DecidableEq I]
13
- variable {p : Shape} {n N : ℕ}
14
- variable {X : I → Type}
15
-
16
- abbrev Aside (i : I) := {j:I//j≠i}
17
- def chair (X : I →Type) (i:I) := Equiv.piSplitAt i X
18
-
19
- theorem chair_split (p : ∀ i,Wgt (X i)) (x : ∀ i,X i) (a : I) :
20
- prodW p x = p a (x a) *
21
- prodW (fun i : Aside a=>p i.val) ((chair X a x).2) := by
22
- exact Fintype.prod_eq_mul_prod_subtype_ne _ _
23
-
24
- variable [∀ i,Fintype (X i)]
25
- set_option maxHeartbeats 600000 in
26
- theorem chair_weight (p : ∀ i,Wgt (X i)) (a : I) :
27
- mapW (prodW p) (chair X a)= pairW (p a)
28
- (prodW (fun i : Aside a=>p i.val)) := by
29
- funext i
30
- obtain ⟨i,rfl⟩ := (chair X a).surjective i
31
- rw [mapW_equiv_val,Equiv.symm_apply_apply]; exact chair_split p i a
32
-
33
- def arm (i j : I) (x : Corn) := if j=i then x.1 else x.2
34
- omit [Fintype I] [∀ i,Fintype (X i)] in
35
- theorem chair_arm (p : (∀ i,X i)×(∀ i,X i)) (i j : I) (x : Corn) :
36
- criss (chair X i) p x j=(onSide p (arm i j x)) j := by
37
- rcases x with ⟨a,b⟩
38
- have he := criss_pair p a b (chair X i)
39
- by_cases h : j=i
40
- · subst j
41
- rw [arm,ite_eq_left rfl]; exact congrArg Prod.fst he
42
- rw [arm,ite_eq_right h]
43
- exact congr_fun (congrArg Prod.snd he) (⟨j,h⟩:Aside i)
44
-
45
- namespace Template
46
- variable (v : Template p I)
47
-
48
- def beyond (v : Template p I) (i : I) : Template p (Aside i) :=
49
- collect p v Subtype.val
50
- def chairK (v : Template p I) (i : I) (N : ℕ) :
51
- Keys (p:=p) v.t N ≃ (AtomKey (p:=p) (v.t i) N × Keys (p:=p) (v.beyond i).t N) :=
52
- chair _ _
53
- def chairI (_ : Template p I) (i : I) (n : ℕ) :
54
- Inputs p n I ≃ Knobs p.g n × Inputs p n (Aside i) := chair _ _
55
-
56
- omit [Fintype I] in
57
- theorem key_quoin (v : Template p I) (x : I) (o : UnitType p n N)
58
- (p' : Inputs p n I× Inputs p n I) (c : Corn) :
59
- criss (v.chairK x N) (Prod.map (v.resultKey o) (v.resultKey o) p') c=
60
- v.resultKey o (criss (v.chairI x n) p' c) := by
61
- classical
62
- funext i; unfold resultKey
63
- change criss (chair (fun i=>AtomKey (p:=p) (v.t i) N) x) _ _ i=keyOne p _ _ (lit _ _ (criss (chair (fun _=>Knobs p.g n) x) _ _ i)) _
64
- rw [chair_arm _ x,chair_arm _ x]
65
- cases arm x i c <;> rfl
66
-
67
- omit [Fintype I] in
68
- theorem key_split (v : Template p I) (x : I) (o : UnitType p n N)
69
- (z : Inputs p n I) :
70
- chairK v x N (v.resultKey o z) = (v.callOne x (z x) (onSide o (v.aim x)),
71
- (v.beyond x).resultKey o (fun i=>z i.val)) := by
72
- apply Prod.ext <;> rfl
73
-
74
- def earns (v : Template p I) (s : Script p I) (m : Mixer p n) (q : I→F)
75
- (o : UnitType p n N) (x : Inputs p n I) :=
76
- (v.draw x).reads s m ∧ ownPart (p:=p) v.t q (v.resultKey o x)
77
- end Template
78
- end HadwigerCounterexample
79
-
80
- end
81
-
82
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.FourCornerViews
2
+ import OAI.Combinatorics.HadwigerCounterexample.ScriptGramCorrespondence
3
+
4
+ namespace OAI
5
+
6
+ /-! # Single Position Expansion -/
7
+
8
+ noncomputable section
9
+ namespace HadwigerCounterexample
10
+ open Finset Function Matrix
11
+ open scoped BigOperators
12
+ variable {I A B C : Type} [Fintype I] [DecidableEq I]
13
+ variable {p : Shape} {n N : ℕ}
14
+ variable {X : I → Type}
15
+
16
+ abbrev Aside (i : I) := {j:I//j≠i}
17
+ def chair (X : I →Type) (i:I) := Equiv.piSplitAt i X
18
+
19
+ theorem chair_split (p : ∀ i,Wgt (X i)) (x : ∀ i,X i) (a : I) :
20
+ prodW p x = p a (x a) *
21
+ prodW (fun i : Aside a=>p i.val) ((chair X a x).2) := by
22
+ exact Fintype.prod_eq_mul_prod_subtype_ne _ _
23
+
24
+ variable [∀ i,Fintype (X i)]
25
+ set_option maxHeartbeats 600000 in
26
+ theorem chair_weight (p : ∀ i,Wgt (X i)) (a : I) :
27
+ mapW (prodW p) (chair X a)= pairW (p a)
28
+ (prodW (fun i : Aside a=>p i.val)) := by
29
+ funext i
30
+ obtain ⟨i,rfl⟩ := (chair X a).surjective i
31
+ rw [mapW_equiv_val,Equiv.symm_apply_apply]; exact chair_split p i a
32
+
33
+ def arm (i j : I) (x : Corn) := if j=i then x.1 else x.2
34
+ omit [Fintype I] [∀ i,Fintype (X i)] in
35
+ theorem chair_arm (p : (∀ i,X i)×(∀ i,X i)) (i j : I) (x : Corn) :
36
+ criss (chair X i) p x j=(onSide p (arm i j x)) j := by
37
+ rcases x with ⟨a,b⟩
38
+ have he := criss_pair p a b (chair X i)
39
+ by_cases h : j=i
40
+ · subst j
41
+ rw [arm,ite_eq_left rfl]; exact congrArg Prod.fst he
42
+ rw [arm,ite_eq_right h]
43
+ exact congr_fun (congrArg Prod.snd he) (⟨j,h⟩:Aside i)
44
+
45
+ namespace Template
46
+ variable (v : Template p I)
47
+
48
+ def beyond (v : Template p I) (i : I) : Template p (Aside i) :=
49
+ collect p v Subtype.val
50
+ def chairK (v : Template p I) (i : I) (N : ℕ) :
51
+ Keys (p:=p) v.t N ≃ (AtomKey (p:=p) (v.t i) N × Keys (p:=p) (v.beyond i).t N) :=
52
+ chair _ _
53
+ def chairI (_ : Template p I) (i : I) (n : ℕ) :
54
+ Inputs p n I ≃ Knobs p.g n × Inputs p n (Aside i) := chair _ _
55
+
56
+ omit [Fintype I] in
57
+ theorem key_quoin (v : Template p I) (x : I) (o : UnitType p n N)
58
+ (p' : Inputs p n I× Inputs p n I) (c : Corn) :
59
+ criss (v.chairK x N) (Prod.map (v.resultKey o) (v.resultKey o) p') c=
60
+ v.resultKey o (criss (v.chairI x n) p' c) := by
61
+ classical
62
+ funext i; unfold resultKey
63
+ change criss (chair (fun i=>AtomKey (p:=p) (v.t i) N) x) _ _ i=keyOne p _ _ (lit _ _ (criss (chair (fun _=>Knobs p.g n) x) _ _ i)) _
64
+ rw [chair_arm _ x,chair_arm _ x]
65
+ cases arm x i c <;> rfl
66
+
67
+ omit [Fintype I] in
68
+ theorem key_split (v : Template p I) (x : I) (o : UnitType p n N)
69
+ (z : Inputs p n I) :
70
+ chairK v x N (v.resultKey o z) = (v.callOne x (z x) (onSide o (v.aim x)),
71
+ (v.beyond x).resultKey o (fun i=>z i.val)) := by
72
+ apply Prod.ext <;> rfl
73
+
74
+ def earns (v : Template p I) (s : Script p I) (m : Mixer p n) (q : I→F)
75
+ (o : UnitType p n N) (x : Inputs p n I) :=
76
+ (v.draw x).reads s m ∧ ownPart (p:=p) v.t q (v.resultKey o x)
77
+ end Template
78
+ end HadwigerCounterexample
79
+
80
+ end
81
+
82
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/SingletonPhaseTests.lean CHANGED
@@ -1,135 +1,135 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.OffsetFourierBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Singleton Phase Tests -/
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} {A : Type} [Fintype A]
12
-
13
- theorem avg_on_support {w f g : Wgt A} (h : ∀ x,0≤w x)
14
- (he : ∀ x,w x≠0 → f x≤g x) : avg w f ≤ avg w g :=
15
- Finset.sum_le_sum (fun x _ => by
16
- by_cases hh : w x=0
17
- · rw [hh,zero_mul,zero_mul]
18
- exact mul_le_mul_of_nonneg_left (he x hh) (h x))
19
-
20
- namespace Bazaar
21
- variable (s : Bazaar p n r T)
22
-
23
- set_option maxHeartbeats 600000 in
24
- theorem single_pitch {w : Wgt (UnitType p n N)} {Δ}
25
- (hl : s.opened Δ w) (hv : IsLaw w) (i : Bool) (R : Party)
26
- (m : Mixer p n) {ε H : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
27
- (hH : 0 ≤ H) (hw : bySide p w m H)
28
- (hp : selPrice p r n N H ε) (ht : num (Atlas p r T) ≤ bp (0.002*N))
29
- (hN : 2*num (Full p n)-N≤ -1) :
30
- |pitch p Δ w (unary i) R|≤ glimpsesBill p r H+bp (-0.24*N) ∧
31
- ((∀ x,w x≠0 → ∀ y,w y≠0 → glimpse p y i (src (s.ix x))) →
32
- |pitch p Δ w (unary i) R|≤bp (-0.24*N)) := by
33
- classical
34
- let C : Sales p n r T := fun M _ y => glimpse p y i (src M)
35
- have hb M G (hh : standard M) (hh' : standard G) :=
36
- glimpse_prize m hH hm he hv.sub hw hl hp M G i hh hh' (C M G) (fun _ _ h => h)
37
- have hf := beat_mix s hl hv (unary i) R i C (fun M => bag_rate m hH hm he hv.sub hw hl hp M i)
38
- hb ht
39
- have he : discard (s:=s) w C = avg w (fun x =>
40
- pr w (fun y => ¬ glimpse p y i (src (s.ix x)))) := pairW_avg ..
41
- rw [he] at hf
42
- constructor
43
- · refine hf.trans (add_le_add_left ?_ _)
44
- rw [← hv.avg_const (glimpsesBill p r H)]
45
- apply avg_on_support hv.nz
46
- intro x hx
47
- have hX := (hl x hx).1
48
- exact glimpse_failure m hH hw hv.sub i hN _ r hX.2.2 (fun z =>
49
- Nat.lt_add_one_iff.mp ((s.ix x).1 z).isLt)
50
- intro hh
51
- have hW : avg w (fun x => pr w (fun y => ¬glimpse p y i (src (s.ix x))))=0 := by
52
- rw [← hv.avg_const 0]
53
- refine avg_congr (fun x hx => ?_)
54
- rw [← hv.avg_const 0]
55
- exact avg_congr fun y hy => ind_zero (by simp [hh x hx y hy])
56
- rwa [hW,zero_add] at hf
57
-
58
- def frequent (w : Wgt (UnitType p n N)) (S : Party) (j : Bool)
59
- (M G : Atlas p r T) (y : UnitType p n N) :=
60
- prize p N (cells G) < mapW (s.chart w G) (s.pay M G j S) (s.pay M G j S y)
61
-
62
- theorem calm_pitch {w : Wgt (UnitType p n N)} {Δ}
63
- (hl : s.opened Δ w) (hv : IsLaw w) (i : Bool) (R S : Party)
64
- (m : Mixer p n) {ε H : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
65
- (hH : 0 ≤ H) (hw : bySide p w m H)
66
- (hp : selPrice p r n N H ε) (ht : num (Atlas p r T) ≤ bp (0.002*N)) :
67
- |pitch p Δ w S R| ≤ pr (pairW w w)
68
- (fun x => s.frequent w S i (s.ix x.1) (s.ix x.2) x.2) + bp (-0.24*N) := by
69
- classical
70
- let C : Sales p n r T := fun M G y => ¬ s.frequent w S i M G y
71
- have hb (M G : Atlas p r T) (hh : standard M) (hh' : standard G) :
72
- ∀ y,mapW (subW (s.chart w G) (C M G)) (s.pay M G i S) y ≤ prize p N (cells G) := by
73
- let v := s.chart w G
74
- let J := s.pay M G i S
75
- have hw' : SubLaw v := subLaw_sub hv.sub _
76
- intro y
77
- by_cases he : mapW v J y≤prize p N (cells G)
78
- · exact (pr_mono_left (subW_le hw'.nz _) _).trans he
79
- change pr (subW v (C M G)) (fun x => J x=y) ≤ _
80
- rw [pr_sub]
81
- have hx : (fun x => C M G x ∧ J x=y)=(fun _ => False) := by
82
- funext x
83
- refine propext (iff_false_intro (fun ⟨h,h'⟩ => he ?_))
84
- rw [← h']
85
- exact le_of_not_gt h
86
- rw [hx,pr_false]; exact (bp_pos _).le
87
- have hf := beat_mix s hl hv S R i C (fun M => bag_rate m hH hm he hv.sub hw hl hp M i) hb ht
88
- unfold discard C at hf; simpa only [not_not] using hf
89
-
90
- /-- fixed companion Z restrict frequent pair to this list of small Φ values -/
91
- def bids (w : Wgt (UnitType p n N)) (S : Party) (i : Bool)
92
- (M G : Atlas p r T) (Z : Batch G N) : Finset (Batch M N) :=
93
- open scoped Classical in
94
- Finset.univ.filter (fun x => prize p N (cells G)<mapW (s.chart w G) (s.pay M G i S) (x,Z))
95
-
96
- theorem bids_mem (w : Wgt (UnitType p n N)) (S : Party) (i : Bool)
97
- (M G : Atlas p r T) (x : UnitType p n N) :
98
- s.frequent w S i M G x ↔
99
- thermal p x S (src M) ∈ s.bids w S i M G (s.bag G i x) := by
100
- classical
101
- simp only [bids,Finset.mem_filter,Finset.mem_univ,true_and]
102
- rfl
103
-
104
- theorem bids_bound {w : Wgt (UnitType p n N)} (S : Party) (i : Bool)
105
- (M G : Atlas p r T) (Z : Batch G N) (hw : SubLaw w)
106
- (h : ∀ x,mapW (s.chart w G) (s.bag G i) x ≤ loseA p N (cells G) 0) :
107
- (↑(s.bids w S i M G Z).card:ℝ) ≤ bp (0.51*N) := by
108
- classical
109
- let f := s.pay M G i S
110
- let v := s.chart w G
111
- have hv : SubLaw v := subLaw_sub hw _
112
- let B := s.bids w S i M G Z
113
- let P := prize p N (cells G)
114
- have he (x) (hx : x∈B) : P���mapW v f (x,Z) := (Finset.mem_filter.mp hx).2.le
115
- have hg : ↑B.card * P ≤ loseA p N (cells G) 0 := by
116
- have hZ : ∑ x : Batch M N,mapW v f (x,Z)=mapW v (s.bag G i) Z := by
117
- let T := fun x => (f x).1
118
- have hh (x : Batch M N) : (fun y => f y=(x,Z))=
119
- fun y => s.bag G i y=Z ∧ T y=x := by ext y; simp [Prod.mk.injEq,f,T,pay,and_comm]
120
- simp only [mapW,hh,sum_pr_tag]
121
- calc ↑B.card * P = ∑ x ∈ B,P := (by simp)
122
- _ ≤ ∑ x∈B,mapW v f (x,Z) := Finset.sum_le_sum he
123
- _ ≤ ∑ x : Batch M N,mapW v f (x,Z) := Finset.sum_le_sum_of_subset_of_nonneg
124
- (Finset.subset_univ B) (fun i _ _ => pr_nonneg hv.nz)
125
- _ ≤ loseA p N (cells G) 0 := hZ.trans_le (h Z)
126
- refine (le_of_mul_le_mul_right (hg.trans_eq ?_) (bp_pos _ : 0<P))
127
- unfold P prize loseA
128
- rw [← bp_add]; congr 1; push_cast; ring
129
-
130
- end Bazaar
131
- end HadwigerCounterexample
132
-
133
- end
134
-
135
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.OffsetFourierBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Singleton Phase Tests -/
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} {A : Type} [Fintype A]
12
+
13
+ theorem avg_on_support {w f g : Wgt A} (h : ∀ x,0≤w x)
14
+ (he : ∀ x,w x≠0 → f x≤g x) : avg w f ≤ avg w g :=
15
+ Finset.sum_le_sum (fun x _ => by
16
+ by_cases hh : w x=0
17
+ · rw [hh,zero_mul,zero_mul]
18
+ exact mul_le_mul_of_nonneg_left (he x hh) (h x))
19
+
20
+ namespace Bazaar
21
+ variable (s : Bazaar p n r T)
22
+
23
+ set_option maxHeartbeats 600000 in
24
+ theorem single_pitch {w : Wgt (UnitType p n N)} {Δ}
25
+ (hl : s.opened Δ w) (hv : IsLaw w) (i : Bool) (R : Party)
26
+ (m : Mixer p n) {ε H : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
27
+ (hH : 0 ≤ H) (hw : bySide p w m H)
28
+ (hp : selPrice p r n N H ε) (ht : num (Atlas p r T) ≤ bp (0.002*N))
29
+ (hN : 2*num (Full p n)-N≤ -1) :
30
+ |pitch p Δ w (unary i) R|≤ glimpsesBill p r H+bp (-0.24*N) ∧
31
+ ((∀ x,w x≠0 → ∀ y,w y≠0 → glimpse p y i (src (s.ix x))) →
32
+ |pitch p Δ w (unary i) R|≤bp (-0.24*N)) := by
33
+ classical
34
+ let C : Sales p n r T := fun M _ y => glimpse p y i (src M)
35
+ have hb M G (hh : standard M) (hh' : standard G) :=
36
+ glimpse_prize m hH hm he hv.sub hw hl hp M G i hh hh' (C M G) (fun _ _ h => h)
37
+ have hf := beat_mix s hl hv (unary i) R i C (fun M => bag_rate m hH hm he hv.sub hw hl hp M i)
38
+ hb ht
39
+ have he : discard (s:=s) w C = avg w (fun x =>
40
+ pr w (fun y => ¬ glimpse p y i (src (s.ix x)))) := pairW_avg ..
41
+ rw [he] at hf
42
+ constructor
43
+ · refine hf.trans (add_le_add_left ?_ _)
44
+ rw [← hv.avg_const (glimpsesBill p r H)]
45
+ apply avg_on_support hv.nz
46
+ intro x hx
47
+ have hX := (hl x hx).1
48
+ exact glimpse_failure m hH hw hv.sub i hN _ r hX.2.2 (fun z =>
49
+ Nat.lt_add_one_iff.mp ((s.ix x).1 z).isLt)
50
+ intro hh
51
+ have hW : avg w (fun x => pr w (fun y => ¬glimpse p y i (src (s.ix x))))=0 := by
52
+ rw [← hv.avg_const 0]
53
+ refine avg_congr (fun x hx => ?_)
54
+ rw [← hv.avg_const 0]
55
+ exact avg_congr fun y hy => ind_zero (by simp [hh x hx y hy])
56
+ rwa [hW,zero_add] at hf
57
+
58
+ def frequent (w : Wgt (UnitType p n N)) (S : Party) (j : Bool)
59
+ (M G : Atlas p r T) (y : UnitType p n N) :=
60
+ prize p N (cells G) < mapW (s.chart w G) (s.pay M G j S) (s.pay M G j S y)
61
+
62
+ theorem calm_pitch {w : Wgt (UnitType p n N)} {Δ}
63
+ (hl : s.opened Δ w) (hv : IsLaw w) (i : Bool) (R S : Party)
64
+ (m : Mixer p n) {ε H : ℝ} (hm : IsLaw (raw m N)) (he : initCap p N m ε)
65
+ (hH : 0 ≤ H) (hw : bySide p w m H)
66
+ (hp : selPrice p r n N H ε) (ht : num (Atlas p r T) ≤ bp (0.002*N)) :
67
+ |pitch p Δ w S R| ≤ pr (pairW w w)
68
+ (fun x => s.frequent w S i (s.ix x.1) (s.ix x.2) x.2) + bp (-0.24*N) := by
69
+ classical
70
+ let C : Sales p n r T := fun M G y => ¬ s.frequent w S i M G y
71
+ have hb (M G : Atlas p r T) (hh : standard M) (hh' : standard G) :
72
+ ∀ y,mapW (subW (s.chart w G) (C M G)) (s.pay M G i S) y ≤ prize p N (cells G) := by
73
+ let v := s.chart w G
74
+ let J := s.pay M G i S
75
+ have hw' : SubLaw v := subLaw_sub hv.sub _
76
+ intro y
77
+ by_cases he : mapW v J y≤prize p N (cells G)
78
+ · exact (pr_mono_left (subW_le hw'.nz _) _).trans he
79
+ change pr (subW v (C M G)) (fun x => J x=y) ≤ _
80
+ rw [pr_sub]
81
+ have hx : (fun x => C M G x ∧ J x=y)=(fun _ => False) := by
82
+ funext x
83
+ refine propext (iff_false_intro (fun ⟨h,h'⟩ => he ?_))
84
+ rw [← h']
85
+ exact le_of_not_gt h
86
+ rw [hx,pr_false]; exact (bp_pos _).le
87
+ have hf := beat_mix s hl hv S R i C (fun M => bag_rate m hH hm he hv.sub hw hl hp M i) hb ht
88
+ unfold discard C at hf; simpa only [not_not] using hf
89
+
90
+ /-- fixed companion Z restrict frequent pair to this list of small Φ values -/
91
+ def bids (w : Wgt (UnitType p n N)) (S : Party) (i : Bool)
92
+ (M G : Atlas p r T) (Z : Batch G N) : Finset (Batch M N) :=
93
+ open scoped Classical in
94
+ Finset.univ.filter (fun x => prize p N (cells G)<mapW (s.chart w G) (s.pay M G i S) (x,Z))
95
+
96
+ theorem bids_mem (w : Wgt (UnitType p n N)) (S : Party) (i : Bool)
97
+ (M G : Atlas p r T) (x : UnitType p n N) :
98
+ s.frequent w S i M G x ↔
99
+ thermal p x S (src M) ∈ s.bids w S i M G (s.bag G i x) := by
100
+ classical
101
+ simp only [bids,Finset.mem_filter,Finset.mem_univ,true_and]
102
+ rfl
103
+
104
+ theorem bids_bound {w : Wgt (UnitType p n N)} (S : Party) (i : Bool)
105
+ (M G : Atlas p r T) (Z : Batch G N) (hw : SubLaw w)
106
+ (h : ∀ x,mapW (s.chart w G) (s.bag G i) x ≤ loseA p N (cells G) 0) :
107
+ (↑(s.bids w S i M G Z).card:ℝ) ≤ bp (0.51*N) := by
108
+ classical
109
+ let f := s.pay M G i S
110
+ let v := s.chart w G
111
+ have hv : SubLaw v := subLaw_sub hw _
112
+ let B := s.bids w S i M G Z
113
+ let P := prize p N (cells G)
114
+ have he (x) (hx : x∈B) : P≤mapW v f (x,Z) := (Finset.mem_filter.mp hx).2.le
115
+ have hg : ↑B.card * P ≤ loseA p N (cells G) 0 := by
116
+ have hZ : ∑ x : Batch M N,mapW v f (x,Z)=mapW v (s.bag G i) Z := by
117
+ let T := fun x => (f x).1
118
+ have hh (x : Batch M N) : (fun y => f y=(x,Z))=
119
+ fun y => s.bag G i y=Z ∧ T y=x := by ext y; simp [Prod.mk.injEq,f,T,pay,and_comm]
120
+ simp only [mapW,hh,sum_pr_tag]
121
+ calc ↑B.card * P = ∑ x ∈ B,P := (by simp)
122
+ _ ≤ ∑ x∈B,mapW v f (x,Z) := Finset.sum_le_sum he
123
+ _ ≤ ∑ x : Batch M N,mapW v f (x,Z) := Finset.sum_le_sum_of_subset_of_nonneg
124
+ (Finset.subset_univ B) (fun i _ _ => pr_nonneg hv.nz)
125
+ _ ≤ loseA p N (cells G) 0 := hZ.trans_le (h Z)
126
+ refine (le_of_mul_le_mul_right (hg.trans_eq ?_) (bp_pos _ : 0<P))
127
+ unfold P prize loseA
128
+ rw [← bp_add]; congr 1; push_cast; ring
129
+
130
+ end Bazaar
131
+ end HadwigerCounterexample
132
+
133
+ end
134
+
135
+ end OAI
lean/OAI/Combinatorics/HadwigerCounterexample/SmallCoverBounds.lean CHANGED
@@ -1,116 +1,116 @@
1
- import OAI.Combinatorics.HadwigerCounterexample.RelativeInjectionBounds
2
-
3
- namespace OAI
4
-
5
- /-! # Small Cover 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 : ℕ} {A B V : Type} [Fintype A] [Fintype B]
12
-
13
- def allSide : Party := fun _ => 1
14
-
15
- def cutDown (p : Shape) {n N}
16
- (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
17
- (x : UnitType p n N) : coverX p T :=
18
- open scoped Classical in
19
- if h : w x≠0 ∧ covered p T (Δ x) then ⟨_,h.2⟩ else 0
20
-
21
- def juris (p : Shape) {n N} (T : Cov p N) (x : UnitType p n N) (S : Party) :
22
- Module.Dual F (coverX p T) :=
23
- joinPhase p (listens p x) S ∘ₗ (coverX p T).subtype
24
-
25
- abbrev Daypair (p : Shape) {N} (T : Cov p N) :=
26
- coverX p T × (Bool → Module.Dual F (coverX p T))
27
-
28
- def daypair (p : Shape) {n N}
29
- (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
30
- (x : UnitType p n N) : Daypair p T :=
31
- (cutDown p T Δ w x,fun i => juris p T x (unary i))
32
-
33
- def shadow (p : Shape) {n N}
34
- (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
35
- (x y : UnitType p n N) (S : Party) :=
36
- juris p T y S (cutDown p T Δ w x)
37
-
38
- theorem shadow_valid (p : Shape) {n N} (T : Cov p N)
39
- (Δ : UnitType p n N→Ambient p N) {w}
40
- (h : ∀ x,w x≠0 → covered p T (Δ x)) (x y : UnitType p n N) (S) (hx : w x≠0) :
41
- shadow p T Δ w x y S=tone p y S (Δ x) := by
42
- classical
43
- unfold shadow cutDown
44
- rw [dite_eq_left ⟨hx,h x hx⟩]; rfl
45
-
46
- theorem tone_vec (p : Shape) {n N} (x : UnitType p n N) (S : Party) (Δ : Ambient p N) :
47
- tone p x S Δ=dotProduct S (fun i => tone p x (unary i) Δ) := by
48
- classical
49
- have hg (i) : tone p x (unary i) Δ=uPhase p (onSide (listens p x) i) Δ := by
50
- unfold tone joinPhase unary
51
- rw [Finset.sum_eq_single i]
52
- · rw [Pi.single_eq_same,one_smul]
53
- · intro j _ hj; simp [hj]
54
- simp
55
- unfold dotProduct
56
- simp_rw [hg]
57
- unfold tone joinPhase
58
- simp
59
-
60
- theorem shadow_day (p : Shape) {n N} (T : Cov p N)
61
- (Δ : UnitType p n N→Ambient p N) (w : Wgt (UnitType p n N))
62
- (x y) (S : Party) :
63
- shadow p T Δ w x y S =
64
- dotProduct S (fun i => (daypair p T Δ w y).2 i (daypair p T Δ w x).1) :=
65
- tone_vec p y _ (cutDown p T Δ w x).val
66
-
67
- theorem day_named (p : Shape) {n N} (T : Cov p N)
68
- (Δ : UnitType p n N→Ambient p N)
69
- (w : Wgt (UnitType p n N)) (d : ℕ) (hT : cdim p T≤d)
70
- (P : Daypair p T × Daypair p T → Prop) :
71
- named (fun v => P (daypair p T Δ w v.1,daypair p T Δ w v.2)) (bp (3*d*(N:ℝ))) := by
72
- classical
73
- let A := (coverX p T)
74
- let : Finite (Module.Dual F (coverX p T)) := Finite.of_injective _ DFunLike.coe_injective
75
- let : Fintype (Module.Dual F (coverX p T)) := Fintype.ofFinite _
76
- have he : dim (Daypair p T) ≤ 3*d*N := by
77
- unfold Daypair dim
78
- rw [Module.finrank_prod, Module.finrank_pi_fintype,Fintype.sum_bool,
79
- Subspace.dual_finrank_eq]
80
- change dim A+(dim A+dim A)≤_
81
- have h : dim A≤N*d := (cover_dim p T).trans (Nat.mul_le_mul_left N hT)
82
- nlinarith
83
- refine named_at (fun y x => P (daypair p T Δ w x,y)) ?_ (fun y => ⟨daypair p T Δ w y,fun x => Iff.rfl⟩)
84
- rw [card_space]
85
- exact bp_le (by exact_mod_cast he)
86
-
87
- variable [AddCommGroup V] [Module F V] [FiniteDimensional F V]
88
-
89
- theorem dual_matrix_rank (f : A→ V) (g : B→Module.Dual F V) :
90
- (Matrix.of (fun x : A => fun y : B => g y (f x))).rank ≤ dim V := by
91
- classical
92
- let M := Matrix.of (fun x : A => fun y : B => g y (f x))
93
- let L : V →ₗ[F] Vec B := LinearMap.pi g
94
- have hi : colSp Mᵀ ≤ LinearMap.range L := by
95
- rw [colSp, range_mulVecLin]
96
- exact Submodule.span_le.mpr (Set.range_subset_iff.mpr fun x => ⟨f x,rfl⟩)
97
- have he : dim (colSp Mᵀ) ≤ dim V := (Submodule.finrank_mono hi).trans
98
- (LinearMap.finrank_range_le L)
99
- rw [colSp_dim,Matrix.rank_transpose] at he
100
- exact he
101
-
102
- def circus (p : Shape) {n N}
103
- (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N)) :
104
- Mat (UnitType p n N) (UnitType p n N) :=
105
- Matrix.of (fun x y => shadow p T Δ w x y allSide)
106
-
107
- theorem circus_rank (p : Shape) {n N}
108
- (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N)) :
109
- (circus p T Δ w).rank≤ N*cdim p T := (dual_matrix_rank (cutDown p T Δ w)
110
- (fun y => juris p T y allSide)).trans (cover_dim p T)
111
-
112
- end HadwigerCounterexample
113
-
114
- end
115
-
116
- end OAI
 
1
+ import OAI.Combinatorics.HadwigerCounterexample.RelativeInjectionBounds
2
+
3
+ namespace OAI
4
+
5
+ /-! # Small Cover 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 : ℕ} {A B V : Type} [Fintype A] [Fintype B]
12
+
13
+ def allSide : Party := fun _ => 1
14
+
15
+ def cutDown (p : Shape) {n N}
16
+ (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
17
+ (x : UnitType p n N) : coverX p T :=
18
+ open scoped Classical in
19
+ if h : w x≠0 ∧ covered p T (Δ x) then ⟨_,h.2⟩ else 0
20
+
21
+ def juris (p : Shape) {n N} (T : Cov p N) (x : UnitType p n N) (S : Party) :
22
+ Module.Dual F (coverX p T) :=
23
+ joinPhase p (listens p x) S ∘ₗ (coverX p T).subtype
24
+
25
+ abbrev Daypair (p : Shape) {N} (T : Cov p N) :=
26
+ coverX p T × (Bool → Module.Dual F (coverX p T))
27
+
28
+ def daypair (p : Shape) {n N}
29
+ (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
30
+ (x : UnitType p n N) : Daypair p T :=
31
+ (cutDown p T Δ w x,fun i => juris p T x (unary i))
32
+
33
+ def shadow (p : Shape) {n N}
34
+ (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N))
35
+ (x y : UnitType p n N) (S : Party) :=
36
+ juris p T y S (cutDown p T Δ w x)
37
+
38
+ theorem shadow_valid (p : Shape) {n N} (T : Cov p N)
39
+ (Δ : UnitType p n N→Ambient p N) {w}
40
+ (h : ∀ x,w x≠0 → covered p T (Δ x)) (x y : UnitType p n N) (S) (hx : w x≠0) :
41
+ shadow p T Δ w x y S=tone p y S (Δ x) := by
42
+ classical
43
+ unfold shadow cutDown
44
+ rw [dite_eq_left ⟨hx,h x hx⟩]; rfl
45
+
46
+ theorem tone_vec (p : Shape) {n N} (x : UnitType p n N) (S : Party) (Δ : Ambient p N) :
47
+ tone p x S Δ=dotProduct S (fun i => tone p x (unary i) Δ) := by
48
+ classical
49
+ have hg (i) : tone p x (unary i) Δ=uPhase p (onSide (listens p x) i) Δ := by
50
+ unfold tone joinPhase unary
51
+ rw [Finset.sum_eq_single i]
52
+ · rw [Pi.single_eq_same,one_smul]
53
+ · intro j _ hj; simp [hj]
54
+ simp
55
+ unfold dotProduct
56
+ simp_rw [hg]
57
+ unfold tone joinPhase
58
+ simp
59
+
60
+ theorem shadow_day (p : Shape) {n N} (T : Cov p N)
61
+ (Δ : UnitType p n N→Ambient p N) (w : Wgt (UnitType p n N))
62
+ (x y) (S : Party) :
63
+ shadow p T Δ w x y S =
64
+ dotProduct S (fun i => (daypair p T Δ w y).2 i (daypair p T Δ w x).1) :=
65
+ tone_vec p y _ (cutDown p T Δ w x).val
66
+
67
+ theorem day_named (p : Shape) {n N} (T : Cov p N)
68
+ (Δ : UnitType p n N→Ambient p N)
69
+ (w : Wgt (UnitType p n N)) (d : ℕ) (hT : cdim p T≤d)
70
+ (P : Daypair p T × Daypair p T → Prop) :
71
+ named (fun v => P (daypair p T Δ w v.1,daypair p T Δ w v.2)) (bp (3*d*(N:ℝ))) := by
72
+ classical
73
+ let A := (coverX p T)
74
+ let : Finite (Module.Dual F (coverX p T)) := Finite.of_injective _ DFunLike.coe_injective
75
+ let : Fintype (Module.Dual F (coverX p T)) := Fintype.ofFinite _
76
+ have he : dim (Daypair p T) ≤ 3*d*N := by
77
+ unfold Daypair dim
78
+ rw [Module.finrank_prod, Module.finrank_pi_fintype,Fintype.sum_bool,
79
+ Subspace.dual_finrank_eq]
80
+ change dim A+(dim A+dim A)≤_
81
+ have h : dim A≤N*d := (cover_dim p T).trans (Nat.mul_le_mul_left N hT)
82
+ nlinarith
83
+ refine named_at (fun y x => P (daypair p T Δ w x,y)) ?_ (fun y => ⟨daypair p T Δ w y,fun x => Iff.rfl⟩)
84
+ rw [card_space]
85
+ exact bp_le (by exact_mod_cast he)
86
+
87
+ variable [AddCommGroup V] [Module F V] [FiniteDimensional F V]
88
+
89
+ theorem dual_matrix_rank (f : A→ V) (g : B→Module.Dual F V) :
90
+ (Matrix.of (fun x : A => fun y : B => g y (f x))).rank ≤ dim V := by
91
+ classical
92
+ let M := Matrix.of (fun x : A => fun y : B => g y (f x))
93
+ let L : V →ₗ[F] Vec B := LinearMap.pi g
94
+ have hi : colSp Mᵀ ≤ LinearMap.range L := by
95
+ rw [colSp, range_mulVecLin]
96
+ exact Submodule.span_le.mpr (Set.range_subset_iff.mpr fun x => ⟨f x,rfl⟩)
97
+ have he : dim (colSp Mᵀ) ≤ dim V := (Submodule.finrank_mono hi).trans
98
+ (LinearMap.finrank_range_le L)
99
+ rw [colSp_dim,Matrix.rank_transpose] at he
100
+ exact he
101
+
102
+ def circus (p : Shape) {n N}
103
+ (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N)) :
104
+ Mat (UnitType p n N) (UnitType p n N) :=
105
+ Matrix.of (fun x y => shadow p T Δ w x y allSide)
106
+
107
+ theorem circus_rank (p : Shape) {n N}
108
+ (T : Cov p N) (Δ : UnitType p n N→ Ambient p N) (w : Wgt (UnitType p n N)) :
109
+ (circus p T Δ w).rank≤ N*cdim p T := (dual_matrix_rank (cutDown p T Δ w)
110
+ (fun y => juris p T y allSide)).trans (cover_dim p T)
111
+
112
+ end HadwigerCounterexample
113
+
114
+ end
115
+
116
+ end OAI