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Add lean source and binary files (part 107)

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  1. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SumPeriodBlocks.lean +77 -0
  2. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Support.lean +90 -0
  3. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SupportEqUsed.lean +107 -0
  4. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SupportIffExtraOrLabel.lean +107 -0
  5. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Symbolic.lean +154 -0
  6. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedEdgeProduct.lean +96 -0
  7. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedShape.lean +106 -0
  8. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedShapeMap.lean +111 -0
  9. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Test.lean +163 -0
  10. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TestVacuous.lean +108 -0
  11. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TiltedListLocalMean.lean +99 -0
  12. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TokenSlot.lean +212 -0
  13. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Topology.lean +135 -0
  14. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TopologyTreeSteps.lean +133 -0
  15. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TotalCodeMass.lean +54 -0
  16. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TotalUnlitCountEqSubtype.lean +58 -0
  17. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeBlocksWithEdges.lean +77 -0
  18. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeDestinationInjective.lean +112 -0
  19. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeEdge.lean +137 -0
  20. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeEdgeInjective.lean +95 -0
  21. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeOccurrences.lean +232 -0
  22. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeOccurrencesEmptyOfFree.lean +155 -0
  23. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreePrimeSupport.lean +131 -0
  24. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeVertices.lean +134 -0
  25. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TwoBlockRerooting.lean +101 -0
  26. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TwoTermBinomial.lean +164 -0
  27. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UncutTreeEdges.lean +163 -0
  28. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UnlitPolynomialBound.lean +125 -0
  29. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Unselected.lean +92 -0
  30. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UnselectedCard.lean +24 -0
  31. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UntaggedEdgeCode.lean +87 -0
  32. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UntaggedReferenceWeight.lean +104 -0
  33. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UsedPrimeReciprocal.lean +133 -0
  34. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexAt.lean +89 -0
  35. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexIndex.lean +128 -0
  36. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexWeight.lean +62 -0
  37. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VerticesInBlock.lean +90 -0
  38. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkBetweenSupport.lean +36 -0
  39. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkSupportConnected.lean +34 -0
  40. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkVertices.lean +88 -0
  41. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Witness.lean +110 -0
  42. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessBaseDoublePath.lean +124 -0
  43. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessConfiguration.lean +149 -0
  44. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessEntropyBase.lean +117 -0
  45. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessSlotCount.lean +100 -0
  46. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessTestDescriptor.lean +139 -0
  47. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessTestShape.lean +130 -0
  48. lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/ZeroExpression.lean +95 -0
  49. lean/OAI/NumberTheory/Ostmann/All.lean +152 -0
  50. lean/OAI/NumberTheory/Ostmann/Arithmetic/AccidentalDivisibility.lean +65 -0
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SumPeriodBlocks.lean ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.PeriodicOrigin
14
+ open Finset Classical Filter
15
+
16
+ lemma sum_period_blocks (M : ℕ) (f : ℕ → ℝ) (hp : Function.Periodic f M) (q : ℕ) :
17
+ (∑ n ∈ range (M*q), f n) = (q : ℝ) * ∑ n ∈ range M, f n := by
18
+ induction q with
19
+ | zero => simp
20
+ | succ q ih =>
21
+ rw [Nat.mul_succ,sum_range_add,ih]
22
+ have he : (∑ n ∈ range M, f (M*q+n)) = ∑ n ∈ range M, f n := by
23
+ apply sum_congr rfl
24
+ intro n hn
25
+ simpa only [Nat.nsmul_eq_mul,Nat.mul_comm,Nat.add_comm] using hp.nsmul q n
26
+ rw [he,Nat.cast_add,Nat.cast_one]
27
+ ring
28
+
29
+ lemma sum_period_quotient (M N : ℕ) (f : ℕ → ℝ) (hp : Function.Periodic f M) :
30
+ (∑ n ∈ range N, f n) = (N/M : ℕ) * (∑ n ∈ range M, f n) + ∑ n ∈ range (N%M), f n := by
31
+ have hN : N = M*(N/M)+N%M := (Nat.div_add_mod N M).symm
32
+ conv_lhs => rw [hN,sum_range_add,sum_period_blocks M f hp]
33
+ congr 1
34
+ apply sum_congr rfl
35
+ intro n hn
36
+ simpa only [Nat.nsmul_eq_mul,Nat.mul_comm,Nat.add_comm] using hp.nsmul (N/M) n
37
+
38
+ theorem discrepancy (M N : ℕ) (hM : 0 < M) (f : ℕ → ℝ) (hp : Function.Periodic f M) :
39
+ |(∑ n ∈ range N, f n) - (N : ℝ) * ((∑ n ∈ range M, f n)/(M : ℝ))| ≤
40
+ 2 * ∑ n ∈ range M, |f n| := by
41
+ let A := ∑ n ∈ range M, f n
42
+ let K := ∑ n ∈ range M, |f n|
43
+ have hK : 0 ≤ K := sum_nonneg (fun _ _ => abs_nonneg _)
44
+ have hA : |A| ≤ K := abs_sum_le_sum_abs _ _
45
+ have hR : |∑ n ∈ range (N%M), f n| ≤ K := by
46
+ apply (abs_sum_le_sum_abs _ _).trans
47
+ apply sum_le_sum_of_subset_of_nonneg (range_mono (Nat.mod_lt N hM).le)
48
+ intro n hn ho
49
+ exact abs_nonneg _
50
+ have hq : (N : ℝ) = (M : ℝ)*(N/M : ℕ)+(N%M : ℕ) := by
51
+ exact_mod_cast (Nat.div_add_mod N M).symm
52
+ have hmR : (0 : ℝ) < M := by exact_mod_cast hM
53
+ have hrlo : (0 : ℝ) ≤ (N%M : ℕ) := Nat.cast_nonneg _
54
+ have hrhi : (N%M : ℕ) / (M : ℝ) ≤ 1 := (div_le_one hmR).mpr (by exact_mod_cast (Nat.mod_lt N hM).le)
55
+ have he : (N/M : ℕ)*A - (N : ℝ)*(A/(M : ℝ)) = -((N%M : ℕ)/(M : ℝ)*A) := by
56
+ rw [hq]
57
+ field_simp
58
+ ring
59
+ rw [sum_period_quotient M N f hp]
60
+ calc
61
+ _ = |(∑ n ∈ range (N%M), f n) - ((N%M : ℕ)/(M : ℝ)*A)| := by
62
+ congr 1
63
+ dsimp only [A] at he ⊢
64
+ linarith
65
+ _ ≤ |∑ n ∈ range (N%M), f n| + |((N%M : ℕ)/(M : ℝ)*A)| := abs_sub _ _
66
+ _ ≤ K+K := by
67
+ apply add_le_add hR
68
+ rw [abs_mul,abs_of_nonneg (div_nonneg hrlo hmR.le)]
69
+ exact (mul_le_mul_of_nonneg_left hA (div_nonneg hrlo hmR.le)).trans
70
+ ((mul_le_mul_of_nonneg_right hrhi hK).trans_eq (one_mul K))
71
+ _ = _ := by dsimp only [K]; ring
72
+
73
+ end OrdinaryCorrelations.PeriodicOrigin
74
+
75
+ end
76
+
77
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Support.lean ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+
12
+ namespace OrdinaryCorrelations.TaggedPrimeGroups
13
+ variable {P : Type*} [Fintype P] [DecidableEq P]
14
+
15
+ def support {m : ℕ} (x : Fin m → P) : Finset P := univ.image x
16
+
17
+ def weight (W : P → ℝ) {m : ℕ} (x : Fin m → P) : ℝ := ∏ p ∈ support x, W p
18
+
19
+ omit [Fintype P] in
20
+ lemma weight_nonneg (W : P → ℝ) (hW : ∀ p, 0 ≤ W p) {m : ℕ} (x : Fin m → P) :
21
+ 0 ≤ weight W x := prod_nonneg (fun p _ => hW p)
22
+
23
+ omit [Fintype P] in
24
+ lemma support_cons {m : ℕ} (p : P) (x : Fin m → P) :
25
+ support (Fin.cons p x) = insert p (support x) := by
26
+ ext q
27
+ simp only [support,mem_image,mem_univ,true_and,mem_insert]
28
+ constructor
29
+ · rintro ⟨i,hi⟩
30
+ revert hi
31
+ refine Fin.cases ?_ (fun j => ?_) i
32
+ · intro hi; exact Or.inl hi.symm
33
+ · intro hi; exact Or.inr ⟨j,hi⟩
34
+ · rintro (rfl | ⟨j,hj⟩)
35
+ · exact ⟨0,Fin.cons_zero _ _⟩
36
+ · exact ⟨j.succ,by simpa only [Fin.cons_succ] using hj⟩
37
+
38
+ omit [Fintype P] in
39
+ lemma weight_cons (W : P → ℝ) {m : ℕ} (p : P) (x : Fin m → P) :
40
+ weight W (Fin.cons p x) = (if p ∈ support x then 1 else W p) * weight W x := by
41
+ unfold weight
42
+ rw [support_cons]
43
+ by_cases hp : p ∈ support x
44
+ · rw [ite_eq_left hp,insert_eq_of_mem hp,one_mul]
45
+ · rw [ite_eq_right hp,prod_insert hp]
46
+
47
+ lemma repeat_or_new (W : P → ℝ) (hW : ∀ p, 0 ≤ W p) {m : ℕ} (x : Fin m → P) :
48
+ (∑ p : P, weight W (Fin.cons p x)) ≤
49
+ ((m : ℝ) + ∑ p : P, W p) * weight W x := by
50
+ simp_rw [weight_cons]
51
+ rw [← sum_mul]
52
+ apply mul_le_mul_of_nonneg_right _ (weight_nonneg W hW x)
53
+ calc
54
+ _ ≤ ∑ p : P, ((if p ∈ support x then (1 : ℝ) else 0) + W p) := by
55
+ apply sum_le_sum
56
+ intro p hp
57
+ split_ifs <;> linarith [hW p]
58
+ _ = ((support x).card : ℝ) + ∑ p : P, W p := by
59
+ rw [sum_add_distrib]
60
+ congr 1
61
+ simp only [← sum_filter]
62
+ simp
63
+ _ ≤ _ := by
64
+ have hcard : (support x).card ≤ m := by
65
+ simpa only [support,card_univ,Fintype.card_fin] using card_image_le (s := univ) (f := x)
66
+ have hr : ((support x).card : ℝ) ≤ (m : ℝ) := by exact_mod_cast hcard
67
+ linarith
68
+
69
+ theorem grouped_prime_sum (W : P → ℝ) (hW : ∀ p, 0 ≤ W p) (m : ℕ) :
70
+ (∑ x : Fin m → P, weight W x) ≤ ∏ i ∈ range m, ((i : ℝ) + ∑ p : P, W p) := by
71
+ induction m with
72
+ | zero => simp [weight,support]
73
+ | succ m ih =>
74
+ rw [← (Fin.consEquiv (fun _ : Fin (m+1) => P)).sum_comp (weight W),
75
+ Fintype.sum_prod_type,prod_range_succ]
76
+ change (∑ p : P, ∑ x : Fin m → P, weight W (Fin.cons p x)) ≤ _
77
+ rw [sum_comm]
78
+ calc
79
+ _ ≤ ∑ x : Fin m → P, ((m : ℝ) + ∑ p : P, W p) * weight W x :=
80
+ sum_le_sum (fun x hx => repeat_or_new W hW x)
81
+ _ = ((m : ℝ) + ∑ p : P, W p) * ∑ x : Fin m → P, weight W x := mul_sum .. |>.symm
82
+ _ ≤ ((m : ℝ) + ∑ p : P, W p) * ∏ i ∈ range m, ((i : ℝ) + ∑ p : P, W p) :=
83
+ mul_le_mul_of_nonneg_left ih (add_nonneg (Nat.cast_nonneg _) (sum_nonneg (fun p _ => hW p)))
84
+ _ = _ := mul_comm _ _
85
+
86
+ end OrdinaryCorrelations.TaggedPrimeGroups
87
+
88
+ end
89
+
90
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SupportEqUsed.lean ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Ordered
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WitnessTestDescriptor
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.ArithmeticSaving
16
+ open OrdinaryCorrelations.SharedSlotPatterns
17
+ open Finset Classical
18
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L t : ℕ}
19
+ namespace WitnessConfiguration
20
+ variable (x : WitnessConfiguration D h ℓ L t)
21
+
22
+ lemma support_eq_used : support x.primeCode=x.family.used x.primitives := by
23
+ ext p
24
+ exact (mem_support _ p).trans (x.primeCode_support p)
25
+
26
+ noncomputable def name (p : S.Index) (hp : p ∈ support x.primeCode) :
27
+ Fin (support x.primeCode).card := (FiniteSlotEncoding.enum (support x.primeCode)).symm ⟨p,hp⟩
28
+
29
+ lemma values_name (p : S.Index) (hp : p ∈ support x.primeCode) :
30
+ values x.primeCode (x.name p hp)=p := by
31
+ change ((FiniteSlotEncoding.enum (support x.primeCode))
32
+ ((FiniteSlotEncoding.enum (support x.primeCode)).symm _)).val=p
33
+ rw [Equiv.apply_symm_apply]
34
+
35
+ lemma selected_mem_support {j : Fin t} (d : x.family.Test j) (hd : d.Valid) :
36
+ d.selected ∈ support x.primeCode := by
37
+ rw [x.support_eq_used]
38
+ exact x.family.test_support_used x.primitives d _ (d.selected_mem hd)
39
+
40
+ lemma modulus_mem_support {j : Fin t} (d : x.family.Test j) :
41
+ d.modulus ∈ support x.primeCode := by
42
+ rw [x.support_eq_used]
43
+ exact x.family.test_support_used x.primitives d _ d.modulus_mem
44
+
45
+ noncomputable def template (c : PrivateFamily.Case) (A : Finset (Fin t))
46
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid) :
47
+ WitnessTemplateCode ℓ L ⌈C₀*Real.log B⌉₊ t (support x.primeCode).card :=
48
+ (x.metadata,pattern x.primeCode,
49
+ ⟨⟨A.card,Nat.lt_succ_of_le (by simpa using Finset.card_le_univ A)⟩,
50
+ fun i => (x.shape (d (c.ordered A i)),
51
+ x.name (d (c.ordered A i)).selected (x.selected_mem_support _ (hd _)),
52
+ x.name (d (c.ordered A i)).modulus (x.modulus_mem_support _),
53
+ decide (d (c.ordered A i)).Linear)⟩)
54
+
55
+ lemma template_selected (c : PrivateFamily.Case) (A : Finset (Fin t))
56
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid) (i : Fin A.card) :
57
+ values x.primeCode ((x.template c A d hd).selected i)=(d (c.ordered A i)).selected :=
58
+ x.values_name _ _
59
+
60
+ lemma template_modulus (c : PrivateFamily.Case) (A : Finset (Fin t))
61
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid) (i : Fin A.card) :
62
+ values x.primeCode ((x.template c A d hd).modulus i)=(d (c.ordered A i)).modulus :=
63
+ x.values_name _ _
64
+
65
+ lemma template_expression (c : PrivateFamily.Case) (A : Finset (Fin t))
66
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid) (i : Fin A.card) :
67
+ ((x.template c A d hd).expression h i).relabel (values x.primeCode)=
68
+ (d (c.ordered A i)).symbolic x.labels :=
69
+ x.pattern_shape_expression _
70
+
71
+ lemma template_wellFormed (c : PrivateFamily.Case) (A : Finset (Fin t))
72
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid)
73
+ (hinj : Function.Injective (fun j => (d j).selected))
74
+ (hfuture : ∀ i j : A, c.Precedes i.val j.val → ((d j).selected:ℕ) ∉ (d i).support) :
75
+ (x.template c A d hd).WellFormed h := by
76
+ apply WitnessTemplateCode.wellFormed_of_relabel (x.template c A d hd) h (values x.primeCode)
77
+ (PrivateFamily.testEmbedding c A d hinj) (PrivateFamily.testSystem x.labels c A d hd hinj hfuture)
78
+ · exact x.template_selected c A d hd
79
+ · exact x.template_expression c A d hd
80
+ · exact x.template_modulus c A d hd
81
+ · intro i; rfl
82
+
83
+ lemma template_admissible (c : PrivateFamily.Case) (A : Finset (Fin t))
84
+ (d : ∀ j : A, x.family.Test j.val) (hd : ∀ j, (d j).Valid)
85
+ (hinj : Function.Injective (fun j => (d j).selected))
86
+ (hfuture : ∀ i j : A, c.Precedes i.val j.val → ((d j).selected:ℕ) ∉ (d i).support)
87
+ (hnd : ∀ j, if (d j).Linear then ¬(((d j).modulus:ℕ):ℤ) ∣ (d j).coefficient
88
+ else (d j).expression ≠ 0)
89
+ (hB : 0 ≤ B) (P : ℝ) (hP : ∀ p : S.Index, P ≤ (p:ℝ))
90
+ (hupper : ∀ p : S.Index, (p:ℝ) ≤ Real.exp B)
91
+ (r : S.Residues) (hq : ∀ i p, (x.family.witness i).spec.ResidueTest p
92
+ (x.family.witness i).vertex (r p)) :
93
+ ((x.template c A d hd).system h (x.template_wellFormed c A d hd hinj hfuture)).Admissible
94
+ P (PrivateFamily.testSize B C₀ h ℓ L) (fun a => (values x.primeCode a:ℕ)) := by
95
+ apply WitnessTemplateCode.system_admissible_of_relabel (x.template c A d hd) h
96
+ (x.template_wellFormed c A d hd hinj hfuture) (values x.primeCode)
97
+ (PrivateFamily.testEmbedding c A d hinj) (PrivateFamily.testSystem x.labels c A d hd hinj hfuture)
98
+ (x.template_selected c A d hd) (x.template_expression c A d hd)
99
+ (x.template_modulus c A d hd) (fun _ => rfl)
100
+ exact PrivateFamily.testSystem_admissible x.labels c A d hd hinj hfuture hnd hB P hP hupper r hq
101
+
102
+ end WitnessConfiguration
103
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
104
+
105
+ end
106
+
107
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/SupportIffExtraOrLabel.lean ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ListSupport
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.LastEdge
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace
16
+ open Finset Classical
17
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h L ℓ : ℕ}
18
+
19
+ namespace Specification
20
+ lemma support_iff_extra_or_label (s : S.Specification D h L) (p : S.Index) :
21
+ (p:ℕ) ∈ s.primeSupport ↔ p=s.extra ∨ ∃ i : Fin s.length, (p:ℕ) ∣ s.label i := by
22
+ simp only [primeSupport,mem_insert,mem_biUnion,mem_univ,true_and]
23
+ constructor
24
+ · rintro (he|⟨i,hi⟩)
25
+ · exact Or.inl (Subtype.ext he)
26
+ · exact Or.inr ⟨i,(Nat.mem_primeFactors.mp hi).2.1⟩
27
+ · rintro (rfl|⟨i,hi⟩)
28
+ · exact Or.inl rfl
29
+ · exact Or.inr ⟨i,Nat.mem_primeFactors.mpr
30
+ ⟨S.prime_mem p p.property,hi,(D.squarefree _ (s.label_mem i)).ne_zero⟩⟩
31
+
32
+ noncomputable def activity (s : S.Specification D h L) (p : S.Index)
33
+ (hp : (p:ℕ) ∈ s.primeSupport) : Fin (s.length+1) :=
34
+ if he : p=s.extra then 0 else
35
+ (Classical.choose ((s.support_iff_extra_or_label p).mp hp |>.resolve_left he)).castSucc
36
+
37
+ lemma activity_divides (s : S.Specification D h L) (p : S.Index)
38
+ (hp : (p:ℕ) ∈ s.primeSupport) (x : ℤ) (hx : s.QualifiesAt x) :
39
+ ((p:ℕ):ℤ) ∣ x+s.offset (s.activity p hp) := by
40
+ unfold activity
41
+ split_ifs with he
42
+ · subst p
43
+ simpa only [s.offset_zero,add_zero] using hx.1
44
+ · exact dvd_trans (by exact_mod_cast (Classical.choose_spec
45
+ (((s.support_iff_extra_or_label p).mp hp).resolve_left he)))
46
+ (hx.2 (Classical.choose (((s.support_iff_extra_or_label p).mp hp).resolve_left he)))
47
+
48
+ lemma tail_support (s : S.Specification D h L) (r : S.Index)
49
+ (hr : (r:ℕ) ∣ s.label s.tailStart) : (r:ℕ) ∈ s.primeSupport :=
50
+ (s.support_iff_extra_or_label r).mpr (Or.inr ⟨s.tailStart,hr⟩)
51
+
52
+ lemma occurs_before_or_tail (s : S.Specification D h L) (q : S.Index)
53
+ (hq : (q:ℕ) ∈ s.primeSupport) :
54
+ q=s.extra ∨ (∃ i : Fin s.length, i < s.tailStart ∧ (q:ℕ) ∣ s.label i) ∨
55
+ ((q:ℕ) ∣ s.label s.tailStart ∧
56
+ ∀ i : Fin s.length, i < s.tailStart → ¬(q:ℕ) ∣ s.label i) := by
57
+ rcases (s.support_iff_extra_or_label q).mp hq with he|⟨i,hi⟩
58
+ · exact Or.inl he
59
+ · by_cases hpre : ∃ i : Fin s.length, i < s.tailStart ∧ (q:ℕ) ∣ s.label i
60
+ · exact Or.inr (Or.inl hpre)
61
+ · right; right
62
+ have hat : s.tailStart ≤ i := by
63
+ by_contra hn
64
+ exact hpre ⟨i,lt_of_not_ge hn,hi⟩
65
+ constructor
66
+ · rwa [s.tail_labels i hat] at hi
67
+ · intro j hj hd
68
+ exact hpre ⟨j,hj,hd⟩
69
+ end Specification
70
+
71
+ lemma free_prime_one_side (w : ClosedLine h ℓ) (p : S.Index) (hp : ¬S.IsFixed w p)
72
+ (k : Fin (ℓ+1)) :
73
+ (∀ i : Fin ℓ, i.val < k.val → ¬(p:ℕ) ∣ w.label i) ∨
74
+ (∀ i : Fin ℓ, k.val ≤ i.val → ¬(p:ℕ) ∣ w.label i) := by
75
+ by_cases ha : ∀ i : Fin ℓ, i.val < k.val → ¬(p:ℕ) ∣ w.label i
76
+ · exact Or.inl ha
77
+ · right
78
+ push Not at ha
79
+ obtain ⟨e,hek,he⟩ := ha
80
+ intro i hki hi
81
+ have hei := (unique_occurrence_of_free w p hp e he i).mp hi
82
+ subst i
83
+ omega
84
+
85
+ lemma attached_activity_comparison (w : ClosedLine h ℓ)
86
+ (a b : AttachedSpec w D L) (r : S.Index)
87
+ (hr : (r:ℕ) ∈ a.spec.primeSupport)
88
+ (hrt : (r:ℕ) ∣ b.spec.label b.spec.tailStart)
89
+ (x : ℤ) (ha : a.spec.QualifiesAt (x+a.vertex))
90
+ (hb : b.spec.QualifiesAt (x+b.vertex)) :
91
+ ((r:ℕ):ℤ) ∣ b.vertex-a.vertex+b.spec.offset b.spec.tailStart.castSucc-
92
+ a.spec.offset (a.spec.activity r hr) := by
93
+ have hi := a.spec.activity_divides r hr (x+a.vertex) ha
94
+ have hj : ((r:ℕ):ℤ) ∣ x+b.vertex+b.spec.offset b.spec.tailStart.castSucc :=
95
+ dvd_trans (by exact_mod_cast hrt) (hb.2 b.spec.tailStart)
96
+ have he : b.vertex-a.vertex+b.spec.offset b.spec.tailStart.castSucc-
97
+ a.spec.offset (a.spec.activity r hr) =
98
+ (x+b.vertex+b.spec.offset b.spec.tailStart.castSucc)-
99
+ (x+a.vertex+a.spec.offset (a.spec.activity r hr)) := by ring
100
+ rw [he]
101
+ exact dvd_sub hj hi
102
+
103
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
104
+
105
+ end
106
+
107
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Symbolic.lean ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Test
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ZeroExpression
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.EdgeAt
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.LinearCoeffZeroOfNot
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+ open scoped Topology
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.ArithmeticSaving OrdinaryCorrelations.SignedTrace
18
+ open Finset Classical
19
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h L ℓ n : ℕ}
20
+ namespace PrivateFamily.Test
21
+ variable {w : ClosedLine h ℓ} (hl : ∀ i, w.label i ∈ D.members)
22
+ {F : PrivateFamily w D L n} {j : Fin n}
23
+
24
+ noncomputable def symbolic : F.Test j → SquarefreeExpression S.Index ((ℓ+L)+L)
25
+ | .extra | .tail _ =>
26
+ ((SquarefreeExpression.zeroExpression S.Index ℓ).append
27
+ ((F.witness j).spec.segmentExpression (F.witness j).spec.suffix.val (F.witness j).spec.length)).append
28
+ (SquarefreeExpression.zeroExpression S.Index L)
29
+ | .compare i _ r hi =>
30
+ ((LineExpression.segment w hl (F.witness i).index (F.witness j).index).append
31
+ ((F.witness j).spec.segmentExpression 0 (F.witness j).spec.tailStart.val)).append
32
+ ((F.witness i).spec.segmentExpression 0 ((F.witness i).spec.activity r hi).val).neg
33
+
34
+ lemma symbolic_eval (t : F.Test j) :
35
+ (t.symbolic hl).eval (fun p => ((p:ℕ):ℤ)) = t.expression := by
36
+ cases t with
37
+ | extra =>
38
+ simp only [symbolic,SquarefreeExpression.eval_append,SquarefreeExpression.eval_zero,
39
+ zero_add,add_zero,expression]
40
+ exact (F.witness j).spec.segmentExpression_eval _ _ (Fin.isLt _).le le_rfl
41
+ | tail q =>
42
+ simp only [symbolic,SquarefreeExpression.eval_append,SquarefreeExpression.eval_zero,
43
+ zero_add,add_zero,expression]
44
+ exact (F.witness j).spec.segmentExpression_eval _ _ (Fin.isLt _).le le_rfl
45
+ | compare i q r hi =>
46
+ simp only [symbolic,SquarefreeExpression.eval_append,SquarefreeExpression.eval_neg,
47
+ LineExpression.segment_eval]
48
+ rw [(F.witness j).spec.segmentExpression_eval 0 _ (Nat.zero_le _) (Fin.isLt _).le,
49
+ (F.witness i).spec.segmentExpression_eval 0 _ (Nat.zero_le _)
50
+ (Nat.lt_succ_iff.mp ((F.witness i).spec.activity r hi).isLt)]
51
+ change w.offset (F.witness j).index-w.offset (F.witness i).index+
52
+ ((F.witness j).spec.offset (F.witness j).spec.tailStart.castSucc-(F.witness j).spec.offset 0)+
53
+ -((F.witness i).spec.offset ((F.witness i).spec.activity r hi)-(F.witness i).spec.offset 0) = _
54
+ rw [(F.witness j).spec.offset_zero,(F.witness i).spec.offset_zero]
55
+ simp only [expression,AttachedSpec.vertex,sub_eq_add_neg,neg_zero,add_zero]
56
+
57
+ lemma symbolic_coefficient (t : F.Test j) :
58
+ (t.symbolic hl).linearCoeff t.selected (fun p => ((p:ℕ):ℤ)) = t.coefficient := by
59
+ cases t with
60
+ | extra =>
61
+ simp only [symbolic,selected,SquarefreeExpression.coefficient_append,
62
+ SquarefreeExpression.coefficient_zero,zero_add,add_zero,coefficient]
63
+ exact SquarefreeExpression.linearCoeff_zero_of_not_support _ _
64
+ ((F.witness j).spec.segmentExpression_extra_absent _ _) _
65
+ | tail q =>
66
+ simp only [symbolic,selected,SquarefreeExpression.coefficient_append,
67
+ SquarefreeExpression.coefficient_zero,zero_add,add_zero,coefficient]
68
+ exact (F.witness j).spec.segmentExpression_coefficient _ _ le_rfl _
69
+ | compare i q r hi =>
70
+ simp only [symbolic,selected,SquarefreeExpression.coefficient_append,
71
+ SquarefreeExpression.coefficient_neg,LineExpression.segment_coefficient]
72
+ rw [(F.witness j).spec.segmentExpression_coefficient 0 _ (Fin.isLt _).le,
73
+ (F.witness i).spec.segmentExpression_coefficient 0 _
74
+ (Nat.lt_succ_iff.mp ((F.witness i).spec.activity r hi).isLt)]
75
+ rfl
76
+
77
+ lemma symbolic_support (t : F.Test j) {p : S.Index}
78
+ (hp : p ∈ (t.symbolic hl).support) : (p:ℕ) ∈ t.support := by
79
+ cases t with
80
+ | extra =>
81
+ simp only [symbolic,SquarefreeExpression.support_append,SquarefreeExpression.support_zero,
82
+ empty_union,union_empty] at hp
83
+ exact (F.witness j).spec.segmentExpression_support _ _ hp
84
+ | tail q =>
85
+ simp only [symbolic,SquarefreeExpression.support_append,SquarefreeExpression.support_zero,
86
+ empty_union,union_empty] at hp
87
+ exact (F.witness j).spec.segmentExpression_support _ _ hp
88
+ | compare i q r hi =>
89
+ simp only [symbolic,SquarefreeExpression.support_append,SquarefreeExpression.support_neg,mem_union] at hp
90
+ rcases hp with (hp|hp)|hp
91
+ · exact mem_union_right _ (LineExpression.segment_support w hl _ _ hp)
92
+ · exact mem_union_left _ (mem_union_right _ ((F.witness j).spec.segmentExpression_support _ _ hp))
93
+ · exact mem_union_left _ (mem_union_left _ ((F.witness i).spec.segmentExpression_support _ _ hp))
94
+
95
+ lemma symbolic_own_absent (t : F.Test j) (ht : ¬t.Linear) : t.selected ∉ (t.symbolic hl).support := by
96
+ cases t with
97
+ | extra =>
98
+ simp only [symbolic,selected,SquarefreeExpression.support_append,SquarefreeExpression.support_zero,
99
+ empty_union,union_empty]
100
+ exact (F.witness j).spec.segmentExpression_extra_absent _ _
101
+ | tail q => exact (ht trivial).elim
102
+ | compare i q r hi => exact (ht trivial).elim
103
+
104
+ lemma symbolic_factor_card (t : F.Test j) (i : Fin ((ℓ+L)+L)) :
105
+ ((t.symbolic hl).factors i).card ≤ ⌈C₀*Real.log B⌉₊ := by
106
+ cases t with
107
+ | extra | tail =>
108
+ apply SquarefreeExpression.factors_append_le _ _ _ _ _ i
109
+ · apply SquarefreeExpression.factors_append_le
110
+ · intro e; simp [SquarefreeExpression.zeroExpression]
111
+ · exact fun e => (F.witness j).spec.segmentExpression_factor_card _ _ e
112
+ · intro e; simp [SquarefreeExpression.zeroExpression]
113
+ | compare a q r ha =>
114
+ apply SquarefreeExpression.factors_append_le _ _ _ _ _ i
115
+ · apply SquarefreeExpression.factors_append_le
116
+ · exact fun e => LineExpression.segment_factor_card w hl _ _ e
117
+ · exact fun e => (F.witness j).spec.segmentExpression_factor_card _ _ e
118
+ · exact fun e => (F.witness a).spec.segmentExpression_factor_card 0 ((F.witness a).spec.activity r ha).val e
119
+
120
+ lemma symbolic_coeff_bound (t : F.Test j) (i : Fin ((ℓ+L)+L)) :
121
+ |((t.symbolic hl).coefficient i:ℝ)| ≤ (h:ℝ) := by
122
+ cases t with
123
+ | extra | tail =>
124
+ apply SquarefreeExpression.abs_coefficient_append_le _ _ _ _ _ i
125
+ · apply SquarefreeExpression.abs_coefficient_append_le
126
+ · intro e; simp [SquarefreeExpression.zeroExpression]
127
+ · exact fun e => (F.witness j).spec.segmentExpression_coeff_bound _ _ e
128
+ · intro e; simp [SquarefreeExpression.zeroExpression]
129
+ | compare a q r ha =>
130
+ apply SquarefreeExpression.abs_coefficient_append_le _ _ _ _ _ i
131
+ · apply SquarefreeExpression.abs_coefficient_append_le
132
+ · exact fun e => LineExpression.segment_coeff_bound w hl _ _ e
133
+ · exact fun e => (F.witness j).spec.segmentExpression_coeff_bound _ _ e
134
+ · intro e
135
+ simpa only [SquarefreeExpression.neg,Int.cast_neg,abs_neg] using
136
+ (F.witness a).spec.segmentExpression_coeff_bound 0 ((F.witness a).spec.activity r ha).val e
137
+
138
+ lemma symbolic_size (t : F.Test j) (hB : 0 ≤ B) (x : S.Index → ℕ)
139
+ (hx : ∀ p, (x p:ℝ) ≤ Real.exp B) :
140
+ |((t.symbolic hl).eval (fun p => (x p:ℤ)):ℝ)| ≤
141
+ ((ℓ+L)+L)*h*Real.exp (B*⌈C₀*Real.log B⌉₊) := by
142
+ have hb := SquarefreeExpression.abs_eval_le (t.symbolic hl) ⌈C₀*Real.log B⌉₊ B (h:ℝ)
143
+ hB (Nat.cast_nonneg h) (t.symbolic_factor_card hl) (t.symbolic_coeff_bound hl)
144
+ (fun p => (x p:ℤ)) (by
145
+ intro p hp
146
+ simpa only [Int.cast_natCast,abs_of_nonneg (show (0:ℝ) ≤ (x p:ℝ) from Nat.cast_nonneg _)] using hx p)
147
+ simpa only [Nat.cast_add] using hb
148
+
149
+ end PrivateFamily.Test
150
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
151
+
152
+ end
153
+
154
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedEdgeProduct.lean ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TokenSlot
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.UntaggedEdgeCode
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+
13
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
15
+ open Finset Classical
16
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
17
+
18
+ noncomputable def taggedEdgeProduct (w : ClosedLine h ℓ) (hh : 0 < h)
19
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w) (e : Fin ℓ) : ℝ :=
20
+ ∏ p : S.Index, if e ∈ (taggedTokens w hh 𝔏 (recordAt w hh 𝔏 a) p).biUnion tokenEdges
21
+ then (p:ℝ) else 1
22
+
23
+ lemma taggedEdgeProduct_pos (w : ClosedLine h ℓ) (hh : 0 < h)
24
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w) (e : Fin ℓ) :
25
+ 0 < taggedEdgeProduct w hh 𝔏 a e := by
26
+ apply prod_pos
27
+ intro p _
28
+ split_ifs
29
+ · exact_mod_cast S.prime_mem _ p.property |>.pos
30
+ · norm_num
31
+
32
+ lemma unorderedEdgeProduct_fibers (w : ClosedLine h ℓ) (f : S.Index → Option (TokenType w))
33
+ (e : Fin ℓ) :
34
+ unorderedEdgeProduct (TypeFibers.multiplicity f) (TypeFibers.unordered f) e =
35
+ ∏ p : S.Index, TypeFibers.factor f (fun t (p : S.Index) =>
36
+ if e ∈ t.2.edges.val then (p:ℝ) else 1) p := by
37
+ rw [← TypeFibers.fiber_product f]
38
+ apply prod_congr rfl
39
+ intro t _
40
+ by_cases he : e ∈ t.2.edges.val <;>
41
+ simp only [TypeFibers.unordered,he,ite_true,ite_false,prod_const_one]
42
+
43
+ lemma tagged_untagged_edge_split (w : ClosedLine h ℓ) (hh : 0 < h)
44
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w) (e : Fin ℓ) (p : S.Index) :
45
+ (if e ∈ (taggedTokens w hh 𝔏 (recordAt w hh 𝔏 a) p).biUnion tokenEdges then (p:ℝ) else 1) *
46
+ TypeFibers.factor (untaggedType w hh 𝔏 a)
47
+ (fun t (p : S.Index) => if e ∈ t.2.edges.val then (p:ℝ) else 1) p =
48
+ if e ∈ (recordTokens w hh 𝔏 (recordAt w hh 𝔏 a) p).biUnion tokenEdges then (p:ℝ) else 1 := by
49
+ rcases he : untaggedType w hh 𝔏 a p with _ | t
50
+ · rw [taggedTokens_of_none w hh 𝔏 a p he]
51
+ simp only [TypeFibers.factor,he,mul_one]
52
+ · rw [taggedTokens_of_some w hh 𝔏 a p t he,
53
+ (untaggedType_some w hh 𝔏 a p t he).2]
54
+ simp only [biUnion_empty,notMem_empty,ite_false,TypeFibers.factor,he,one_mul,
55
+ singleton_biUnion,tokenEdges]
56
+
57
+ theorem record_edge_factorization (w : ClosedLine h ℓ) (hh : 0 < h)
58
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w)
59
+ (hlabels : ∀ i, w.label i ∈ D.members) (e : Fin ℓ) (he : e ∈ w.treeSteps) :
60
+ taggedEdgeProduct w hh 𝔏 a e *
61
+ unorderedEdgeProduct (TypeFibers.multiplicity (untaggedType w hh 𝔏 a))
62
+ (TypeFibers.unordered (untaggedType w hh 𝔏 a)) e = (w.label e : ℝ) := by
63
+ rw [unorderedEdgeProduct_fibers,taggedEdgeProduct,← prod_mul_distrib]
64
+ simp_rw [tagged_untagged_edge_split]
65
+ have hr := recordTokens_recover_label w hh 𝔏 a hlabels e he
66
+ simp only [mem_biUnion]
67
+ exact_mod_cast hr
68
+
69
+ lemma unorderedEdgeProduct_reference {w v : ClosedLine h ℓ} (H : SameGeometry v w)
70
+ (hh : 0 < h) (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) (e : Fin ℓ) :
71
+ unorderedEdgeProduct (TypeFibers.multiplicity (untaggedReference H hh 𝔏 a))
72
+ (TypeFibers.unordered (untaggedReference H hh 𝔏 a)) e =
73
+ unorderedEdgeProduct (TypeFibers.multiplicity (untaggedType v hh 𝔏 a))
74
+ (TypeFibers.unordered (untaggedType v hh 𝔏 a)) e := by
75
+ rw [unorderedEdgeProduct_fibers,unorderedEdgeProduct_fibers]
76
+ apply prod_congr rfl
77
+ intro p _
78
+ rcases he : untaggedType v hh 𝔏 a p with _ | t <;>
79
+ simp only [TypeFibers.factor,untaggedReference,he,Option.map_none,Option.map_some]
80
+ rfl
81
+
82
+ theorem record_unordered_bins {w v : ClosedLine h ℓ} (H : SameGeometry v w)
83
+ (hh : 0 < h) (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v)
84
+ (hlabels : ∀ i, v.label i ∈ D.members) :
85
+ unorderedBins (TypeFibers.multiplicity (untaggedReference H hh 𝔏 a))
86
+ (taggedEdgeProduct v hh 𝔏 a) D.H τ (TypeFibers.unordered (untaggedReference H hh 𝔏 a)) := by
87
+ intro e he
88
+ rw [unorderedEdgeProduct_reference,
89
+ record_edge_factorization v hh 𝔏 a hlabels e (H.trees.symm ▸ he)]
90
+ exact ⟨D.lower _ (hlabels e),D.upper _ (hlabels e)⟩
91
+
92
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
93
+
94
+ end
95
+
96
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedShape.lean ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ModifiedWeightSameBand
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+
12
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
13
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
14
+ open Finset Classical
15
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
16
+
17
+ abbrev TaggedShape (w : ClosedLine h ℓ) := Shape w ⊕ Fin ℓ
18
+
19
+ def taggedShapeCode (w : ClosedLine h ℓ) : TaggedShape w → LocalToken ℓ
20
+ | .inl Q => (true,false,Q.edges.val)
21
+ | .inr e => (true,true,{e})
22
+
23
+ lemma taggedShapeCode_injective (w : ClosedLine h ℓ) : Function.Injective (taggedShapeCode w) := by
24
+ intro s t he
25
+ rcases s with Q | e <;> rcases t with R | j
26
+ · exact congrArg Sum.inl (Shape.edges_injective w (congrArg (fun t : LocalToken ℓ => t.2.2) he))
27
+ · have := congrArg (fun t : LocalToken ℓ => t.2.1) he; contradiction
28
+ · have := congrArg (fun t : LocalToken ℓ => t.2.1) he; contradiction
29
+ · exact congrArg Sum.inr (singleton_injective (congrArg (fun t : LocalToken ℓ => t.2.2) he))
30
+
31
+ lemma taggedPieces_shape (w : ClosedLine h ℓ) (hh : 0 < h) (O E : Finset (Fin ℓ))
32
+ (hE : E ⊆ w.treeSteps) (t : LocalToken ℓ) (ht : t ∈ taggedPieces w hh O E) :
33
+ ∃ s : TaggedShape w, taggedShapeCode w s=t := by
34
+ rcases mem_union.mp ht with ht | ht
35
+ · obtain ⟨c,hc,rfl⟩ := mem_image.mp ht
36
+ exact ⟨.inl (shapeFromGrows w _ _ (component_grows w hh hE c hc)
37
+ (componentEdges_nonempty w hh E c hc)),rfl⟩
38
+ · obtain ⟨e,he,rfl⟩ := mem_image.mp ht
39
+ exact ⟨.inr e,rfl⟩
40
+
41
+ theorem record_tagged_shape (w : ClosedLine h ℓ) (hh : 0 < h)
42
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w) (p : S.Index)
43
+ (t : LocalToken ℓ) (ht : t ∈ taggedTokens w hh 𝔏 (recordAt w hh 𝔏 a) p) :
44
+ ∃ s : TaggedShape w, taggedShapeCode w s=t := by
45
+ obtain ⟨ht,htag⟩ := mem_filter.mp ht
46
+ by_cases ho : (treeOccurrences w p).Nonempty
47
+ · rw [recordTokens,ite_eq_left ho] at ht
48
+ by_cases hf : S.IsFixed w p
49
+ · rw [ite_eq_left hf] at ht
50
+ by_cases hp : (recordAt w hh 𝔏 a).2 p=true
51
+ · rw [ite_eq_left hp] at ht
52
+ exact taggedPieces_shape w hh _ _ ((recordAt_compatible w hh 𝔏 a p).trans (filter_subset _ _)) t ht
53
+ · rw [ite_eq_right hp] at ht
54
+ have he := mem_singleton.mp ht
55
+ have hfalse : t.1=false := congrArg Prod.fst he
56
+ rw [hfalse] at htag
57
+ contradiction
58
+ · rw [ite_eq_right hf] at ht
59
+ obtain ⟨e,he,rfl⟩ := mem_image.mp ht
60
+ by_cases hp : singletonIsTagged w 𝔏 p e
61
+ · exact ⟨.inr e,by simp only [taggedShapeCode,freePiece,hp,ite_true]⟩
62
+ · simp only [freePiece,hp,ite_false] at htag
63
+ contradiction
64
+ · rw [recordTokens,ite_eq_right ho] at ht
65
+ exact False.elim (Finset.notMem_empty _ ht)
66
+
67
+ lemma subtree_shape_sum (w : ClosedLine h ℓ) (p : S.Index) :
68
+ (∑ Q : Shape w, subtreeUnionWeight w p Q.edges.val) ≤ bandDefect w (S.beta p) := by
69
+ have hA : 0 ≤ S.amplitude p := by
70
+ unfold amplitude
71
+ split_ifs
72
+ · exact A_pos.le
73
+ · norm_num
74
+ have hne : 1+S.amplitude p ≠ 0 := ne_of_gt (by linarith)
75
+ have hunit : S.beta p*(1+S.amplitude p)=1 := inv_mul_cancel₀ hne
76
+ rw [sum_shapes]
77
+ exact numerical_subtree_sum_le w (S.amplitude p) (S.beta p) hA (beta_nonneg p) hunit
78
+
79
+ lemma bandDefect_le_vertices (w : ClosedLine h ℓ) (p : S.Index) :
80
+ bandDefect w (S.beta p) ≤ (ℓ:ℝ)+1 := by
81
+ calc
82
+ _ ≤ ∑ _v ∈ treeVertices w, (1:ℝ) := by
83
+ apply sum_le_sum
84
+ intro v hv
85
+ have hn : 0 ≤ (S.beta p)^(w.children v) := pow_nonneg (beta_nonneg p) _
86
+ linarith
87
+ _ = ((treeVertices w).card : ℝ) := by simp
88
+ _ ≤ (ℓ:ℝ)+1 := by
89
+ have hc : (treeVertices w).card ≤ ℓ+1 := by
90
+ simpa only [treeVertices,card_univ,Fintype.card_fin] using card_image_le (s := (univ : Finset (Fin (ℓ+1)))) (f := w.offset)
91
+ exact_mod_cast hc
92
+
93
+ theorem tagged_shape_sum (w : ClosedLine h ℓ) (p : S.Index) :
94
+ (∑ s : TaggedShape w, localTokenWeight w p (taggedShapeCode w s)) ≤ 3*(ℓ:ℝ)+1 := by
95
+ rw [Fintype.sum_sum_type]
96
+ simp only [taggedShapeCode,localTokenWeight,ite_true,Bool.false_eq_true,ite_false,tokenEdges]
97
+ have h1 := subtree_shape_sum w p
98
+ have h2 := bandDefect_le_vertices w p
99
+ simp only [sum_const,card_univ,Fintype.card_fin,nsmul_eq_mul]
100
+ linarith
101
+
102
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
103
+
104
+ end
105
+
106
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TaggedShapeMap.lean ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TopologyTreeSteps
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SpecPrimeSlot
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TaggedShape
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Enum
5
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.VertexIndex
6
+
7
+ namespace OAI
8
+
9
+ noncomputable section
10
+ open scoped BigOperators
11
+ open Finset
12
+ open Finset Classical
13
+ open Filter
14
+ open Finset Classical Filter
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
18
+ open Finset Classical
19
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
20
+
21
+ def taggedShapeMap {w v : ClosedLine h ℓ} (H : SameGeometry v w) : TaggedShape v → TaggedShape w
22
+ | .inl Q => .inl (H.shapeMap Q)
23
+ | .inr e => .inr e
24
+
25
+ lemma taggedShapeMap_code {w v : ClosedLine h ℓ} (H : SameGeometry v w) (s : TaggedShape v) :
26
+ taggedShapeCode w (taggedShapeMap H s)=taggedShapeCode v s := by
27
+ cases s <;> rfl
28
+
29
+ lemma taggedShapeMap_weight {w v : ClosedLine h ℓ} (H : SameGeometry v w) (p : S.Index)
30
+ (s : TaggedShape v) :
31
+ localTokenWeight w p (taggedShapeCode w (taggedShapeMap H s)) =
32
+ localTokenWeight v p (taggedShapeCode v s) := by
33
+ cases s with
34
+ | inl Q => exact (H.weight p Q.edges.val).symm
35
+ | inr e => rfl
36
+
37
+ lemma taggedShapeMap_surjective {w v : ClosedLine h ℓ} (H : SameGeometry v w) :
38
+ Function.Surjective (taggedShapeMap H) := by
39
+ intro t
40
+ cases t with
41
+ | inl Q =>
42
+ obtain ⟨R,hR⟩ := H.shapeEquiv.surjective Q
43
+ exact ⟨.inl R,congrArg Sum.inl hR⟩
44
+ | inr e => exact ⟨.inr e,rfl⟩
45
+
46
+ noncomputable def taggedPairSet {w v : ClosedLine h ℓ} (_H : SameGeometry v w) (hh : 0 < h)
47
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) : Finset (S.Index × TaggedShape w) :=
48
+ univ.filter (fun z => taggedShapeCode w z.2 ∈ taggedTokens v hh 𝔏 (recordAt v hh 𝔏 a) z.1)
49
+
50
+ lemma mem_taggedPairSet {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
51
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) (p : S.Index) (s : TaggedShape w) :
52
+ (p,s) ∈ taggedPairSet H hh 𝔏 a ↔
53
+ taggedShapeCode w s ∈ taggedTokens v hh 𝔏 (recordAt v hh 𝔏 a) p := by
54
+ simp only [taggedPairSet,mem_filter,mem_univ,true_and]
55
+
56
+ lemma taggedToken_iff_pair {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
57
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) (p : S.Index) (t : LocalToken ℓ) :
58
+ t ∈ taggedTokens v hh 𝔏 (recordAt v hh 𝔏 a) p ↔
59
+ ∃ s : TaggedShape w, (p,s) ∈ taggedPairSet H hh 𝔏 a ∧ taggedShapeCode w s=t := by
60
+ constructor
61
+ · intro ht
62
+ obtain ⟨s,hs⟩ := record_tagged_shape v hh 𝔏 a p t ht
63
+ refine ⟨taggedShapeMap H s,?_,?_⟩
64
+ · rw [mem_taggedPairSet,taggedShapeMap_code,hs]
65
+ exact ht
66
+ · exact (taggedShapeMap_code H s).trans hs
67
+ · rintro ⟨s,hs,rfl⟩
68
+ exact (mem_taggedPairSet H hh 𝔏 a p s).mp hs
69
+
70
+ noncomputable def taggedRecordCode {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
71
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) (N : ℕ) :
72
+ Fin N → Option (S.Index × TaggedShape w) := FiniteSlotEncoding.code (taggedPairSet H hh 𝔏 a) N
73
+
74
+ theorem tag_tokens_eq_of_code {w v u : ClosedLine h ℓ}
75
+ (H : SameGeometry v w) (I : SameGeometry u w) (hh : 0 < h)
76
+ (𝔏 : List (AttachedSpec v D L)) (𝔐 : List (AttachedSpec u D L))
77
+ (a : S.FixedResidues v) (b : S.FixedResidues u) (N : ℕ)
78
+ (hN : (taggedPairSet H hh 𝔏 a).card ≤ N) (hM : (taggedPairSet I hh 𝔐 b).card ≤ N)
79
+ (hc : taggedRecordCode H hh 𝔏 a N=taggedRecordCode I hh 𝔐 b N) (p : S.Index) :
80
+ taggedTokens v hh 𝔏 (recordAt v hh 𝔏 a) p=taggedTokens u hh 𝔐 (recordAt u hh 𝔐 b) p := by
81
+ have hs := FiniteSlotEncoding.code_injective hN hM hc
82
+ ext t
83
+ rw [taggedToken_iff_pair H hh 𝔏 a p t,taggedToken_iff_pair I hh 𝔐 b p t,hs]
84
+
85
+ noncomputable def taggedPairEquiv {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
86
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) :
87
+ ↥(taggedPairSet H hh 𝔏 a) ≃ TaggedSlot v hh 𝔏 a :=
88
+ Equiv.ofBijective
89
+ (fun z => ⟨z.val.1,⟨taggedShapeCode w z.val.2,(mem_taggedPairSet H hh 𝔏 a _ _).mp z.property⟩⟩)
90
+ ⟨by
91
+ intro x y he
92
+ have hp : x.val.1=y.val.1 := congrArg Sigma.fst he
93
+ have hT : taggedShapeCode w x.val.2=taggedShapeCode w y.val.2 :=
94
+ congrArg (fun z : TaggedSlot v hh 𝔏 a => z.2.val) he
95
+ exact Subtype.ext (Prod.ext hp (taggedShapeCode_injective w hT)),
96
+ by
97
+ rintro ⟨p,t⟩
98
+ obtain ⟨s,hs,he⟩ := (taggedToken_iff_pair H hh 𝔏 a p t.val).mp t.property
99
+ refine ⟨⟨(p,s),hs⟩,?_⟩
100
+ exact congrArg (fun z => (Sigma.mk p z : TaggedSlot v hh 𝔏 a)) (Subtype.ext he)⟩
101
+
102
+ lemma taggedPairSet_card {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
103
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) :
104
+ (taggedPairSet H hh 𝔏 a).card=Fintype.card (TaggedSlot v hh 𝔏 a) := by
105
+ simpa only [Fintype.card_coe] using Fintype.card_congr (taggedPairEquiv H hh 𝔏 a)
106
+
107
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
108
+
109
+ end
110
+
111
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Test.lean ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.IntegerResidues
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PrivateFamily
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.CoefficientZeroOfNotSupport
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PrefixCoefficientNondvd
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+ open scoped Topology
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.SignedTrace
18
+ open Finset Classical
19
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h L ℓ n : ℕ}
20
+ namespace PrivateFamily
21
+ variable {w : ClosedLine h ℓ} (F : PrivateFamily w D L n)
22
+
23
+ inductive Test (j : Fin n) where
24
+ | extra
25
+ | tail (q : S.Index)
26
+ | compare (i : Fin n) (q r : S.Index)
27
+ (hr : (r:ℕ) ∈ (F.witness i).spec.primeSupport)
28
+
29
+ namespace Test
30
+ variable {F} {j : Fin n}
31
+
32
+ def selected : F.Test j → S.Index
33
+ | .extra => (F.witness j).spec.extra
34
+ | .tail q => q
35
+ | .compare _ q _ _ => q
36
+
37
+ def modulus : F.Test j → S.Index
38
+ | .extra => (F.witness j).spec.extra
39
+ | .tail _ => (F.witness j).spec.extra
40
+ | .compare _ _ r _ => r
41
+
42
+ noncomputable def support : F.Test j → Finset ℕ
43
+ | .extra => (F.witness j).spec.primeSupport
44
+ | .tail _ => (F.witness j).spec.primeSupport
45
+ | .compare i _ _ _ => F.comparisonSupport i j
46
+
47
+ noncomputable def expression : F.Test j → ℤ
48
+ | .extra => (F.witness j).spec.offset (Fin.last (F.witness j).spec.length)-
49
+ (F.witness j).spec.offset (F.witness j).spec.suffix.castSucc
50
+ | .tail _ => (F.witness j).spec.offset (Fin.last (F.witness j).spec.length)-
51
+ (F.witness j).spec.offset (F.witness j).spec.suffix.castSucc
52
+ | .compare i _ r hi => (F.witness j).vertex-(F.witness i).vertex+
53
+ (F.witness j).spec.offset (F.witness j).spec.tailStart.castSucc-
54
+ (F.witness i).spec.offset ((F.witness i).spec.activity r hi)
55
+
56
+ noncomputable def coefficient : F.Test j → ℤ
57
+ | .extra => 0
58
+ | .tail q => (F.witness j).spec.coefficient q (F.witness j).spec.suffix.val
59
+ (F.witness j).spec.length
60
+ | .compare i q r hi =>
61
+ w.segmentCoefficient q (F.witness i).index (F.witness j).index+
62
+ (F.witness j).spec.coefficient q 0 (F.witness j).spec.tailStart.val-
63
+ (F.witness i).spec.coefficient q 0 ((F.witness i).spec.activity r hi).val
64
+
65
+ def Valid : F.Test j → Prop
66
+ | .extra => True
67
+ | .tail q => (q:ℕ) ∣ (F.witness j).spec.label (F.witness j).spec.tailStart ∧
68
+ ∀ e : Fin (F.witness j).spec.length, e < (F.witness j).spec.tailStart →
69
+ ¬(q:ℕ) ∣ (F.witness j).spec.label e
70
+ | .compare i q r _ =>
71
+ (r:ℕ) ∣ (F.witness j).spec.label (F.witness j).spec.tailStart ∧
72
+ (∀ e : Fin (F.witness j).spec.length, e < (F.witness j).spec.tailStart →
73
+ ¬(r:ℕ) ∣ (F.witness j).spec.label e) ∧
74
+ (∃ e : Fin (F.witness j).spec.length, e < (F.witness j).spec.tailStart ∧
75
+ (q:ℕ) ∣ (F.witness j).spec.label e) ∧
76
+ (q:ℕ) ∉ (F.witness i).spec.primeSupport ∧
77
+ (q:ℕ) ∉ w.segmentSupport (F.witness i).index (F.witness j).index
78
+
79
+ def Linear : F.Test j → Prop
80
+ | .extra => False
81
+ | .tail _ => True
82
+ | .compare _ _ _ _ => True
83
+
84
+ lemma selected_mem (t : F.Test j) (ht : t.Valid) : (t.selected:ℕ) ∈ t.support := by
85
+ cases t with
86
+ | extra => exact ((F.witness j).spec.support_iff_extra_or_label _).mpr (Or.inl rfl)
87
+ | tail q =>
88
+ exact ((F.witness j).spec.support_iff_extra_or_label q).mpr
89
+ (Or.inr ⟨(F.witness j).spec.tailStart,ht.1⟩)
90
+ | compare i q r hi =>
91
+ obtain ⟨e,he,hqe⟩ := ht.2.2.1
92
+ exact mem_union_left _ (mem_union_right _
93
+ (((F.witness j).spec.support_iff_extra_or_label q).mpr (Or.inr ⟨e,hqe⟩)))
94
+
95
+ lemma comparison_coefficient (i : Fin n) (q r : S.Index)
96
+ (hi : (r:ℕ) ∈ (F.witness i).spec.primeSupport)
97
+ (ht : (Test.compare (F:=F) (j:=j) i q r hi).Valid) :
98
+ (Test.compare (F:=F) (j:=j) i q r hi).coefficient =
99
+ (F.witness j).spec.coefficient q 0 (F.witness j).spec.tailStart.val := by
100
+ change w.segmentCoefficient q (F.witness i).index (F.witness j).index+
101
+ (F.witness j).spec.coefficient q 0 (F.witness j).spec.tailStart.val-
102
+ (F.witness i).spec.coefficient q 0 ((F.witness i).spec.activity r hi).val = _
103
+ rw [w.segmentCoefficient_zero q (S.prime_mem q q.property) _ _ ht.2.2.2.2,
104
+ (F.witness i).spec.coefficient_zero_of_not_support q ht.2.2.2.1]
105
+ ring
106
+
107
+ lemma holds (t : F.Test j) (ht : t.Valid) (x : ℤ)
108
+ (hx : ∀ i, (F.witness i).spec.QualifiesAt (x+(F.witness i).vertex)) :
109
+ ((t.modulus:ℕ):ℤ) ∣ t.expression := by
110
+ cases t with
111
+ | extra => exact (F.witness j).spec.extra_div_suffix
112
+ | tail q => exact (F.witness j).spec.extra_div_suffix
113
+ | compare i q r hi =>
114
+ exact attached_activity_comparison w (F.witness i) (F.witness j) r hi ht.1 x (hx i) (hx j)
115
+
116
+ lemma nondegenerate (t : F.Test j) (ht : t.Valid) (hh : 0 < h)
117
+ (hpp : h < ((F.witness j).spec.extra:ℕ))
118
+ (hpL : L < ((F.witness j).spec.extra:ℕ)) :
119
+ if t.Linear then ¬((t.modulus:ℕ):ℤ) ∣ t.coefficient else t.expression ≠ 0 := by
120
+ cases t with
121
+ | extra =>
122
+ simp only [Linear,ite_false,expression,ne_eq,sub_eq_zero]
123
+ intro he
124
+ have hi := (F.witness j).spec.offsets_distinct he
125
+ have hv := congrArg Fin.val hi
126
+ have hs := (F.witness j).spec.suffix.isLt
127
+ simp only [Fin.val_last,Fin.val_castSucc] at hv
128
+ omega
129
+ | tail q =>
130
+ rw [ite_eq_left (show (Test.tail (F:=F) (j:=j) q).Linear from trivial)]
131
+ exact (F.witness j).spec.suffix_coefficient_nondvd hh hpp hpL q ht.1 ht.2
132
+ | compare i q r hi =>
133
+ rw [ite_eq_left (show (Test.compare (F:=F) (j:=j) i q r hi).Linear from trivial)]
134
+ change ¬((r:ℕ):ℤ) ∣ _
135
+ rw [comparison_coefficient i q r hi ht]
136
+ exact (F.witness j).spec.prefix_coefficient_nondvd (F.witness j).primitive q r
137
+ ht.1 ht.2.1 ht.2.2.1
138
+
139
+ lemma modulus_ne_selected (t : F.Test j) (ht : t.Valid) (hl : t.Linear) :
140
+ t.modulus ≠ t.selected := by
141
+ cases t with
142
+ | extra => exact hl.elim
143
+ | tail q =>
144
+ intro he
145
+ change (F.witness j).spec.extra=q at he
146
+ apply (F.witness j).spec.extra_not_div (F.witness j).spec.tailStart
147
+ rw [he]
148
+ exact ht.1
149
+ | compare i q r hi =>
150
+ intro he
151
+ obtain ⟨e,he',hqe⟩ := ht.2.2.1
152
+ change r=q at he
153
+ apply ht.2.1 e he'
154
+ rw [he]
155
+ exact hqe
156
+
157
+ end Test
158
+ end PrivateFamily
159
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
160
+
161
+ end
162
+
163
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TestVacuous.lean ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SpecPrimeSlot
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.AttachedMetadata
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Cylinder
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.IntegerResidues
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+ open scoped Topology
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.SourceCylinder
18
+ open Finset Classical
19
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
20
+
21
+ instance (w : ClosedLine h ℓ) : Finite (AttachedSpec w D L) := by
22
+ apply Finite.of_injective
23
+ (fun s : AttachedSpec w D L => (attachedMetadata w s,specPrimeCode s.spec))
24
+ intro s t ht
25
+ exact attached_code_injective w s t (congrArg Prod.fst ht) (congrArg Prod.snd ht)
26
+
27
+ noncomputable instance (w : ClosedLine h ℓ) : Fintype (AttachedSpec w D L) := Fintype.ofFinite _
28
+
29
+ lemma Specification.test_vacuous (s : S.Specification D h L) (p : S.Index)
30
+ (hp : (p:ℕ) ∉ s.primeSupport) (b : ℤ) (a : ZMod (p:ℕ)) : s.ResidueTest p b a := by
31
+ constructor
32
+ · intro he
33
+ exact (hp (mem_insert.mpr (Or.inl he))).elim
34
+ · intro i hd
35
+ apply False.elim
36
+ apply hp
37
+ apply mem_insert_of_mem
38
+ apply mem_biUnion.mpr
39
+ refine ⟨i,mem_univ _,Nat.mem_primeFactors.mpr ⟨S.prime_mem p.val p.property,hd,?_⟩⟩
40
+ have := D.greater_one _ (s.label_mem i)
41
+ omega
42
+
43
+ lemma Specification.test_unique (s : S.Specification D h L) (p : S.Index)
44
+ (hp : (p:ℕ) ∈ s.primeSupport) (b : ℤ) (a a' : ZMod (p:ℕ))
45
+ (ha : s.ResidueTest p b a) (ha' : s.ResidueTest p b a') : a=a' := by
46
+ rcases mem_insert.mp hp with he | he
47
+ · exact add_right_cancel ((ha.1 he).trans (ha'.1 he).symm)
48
+ · obtain ⟨i,hi,hpi⟩ := mem_biUnion.mp he
49
+ have hd := (Nat.mem_primeFactors.mp hpi).2.1
50
+ exact add_right_cancel ((ha.2 i hd).trans (ha'.2 i hd).symm)
51
+
52
+ namespace AttachedSpec
53
+ variable {w : ClosedLine h ℓ}
54
+
55
+ noncomputable def origin (s : AttachedSpec w D L) : ℤ :=
56
+ Classical.choose s.primitive.1 - s.vertex
57
+
58
+ lemma origin_tests (s : AttachedSpec w D L) (p : S.Index) :
59
+ s.spec.ResidueTest p s.vertex (s.origin : ZMod (p:ℕ)) := by
60
+ apply (s.spec.qualifies_iff_residueTests s.origin s.vertex).mp
61
+ simpa only [origin,sub_add_cancel] using Classical.choose_spec s.primitive.1
62
+
63
+ noncomputable def fullCylinder (s : AttachedSpec w D L) :
64
+ Cylinder (fun p : S.Index => ZMod (p:ℕ)) :=
65
+ ⟨fun p => if (p:ℕ) ∈ s.spec.primeSupport then some (s.origin : ZMod (p:ℕ)) else none⟩
66
+
67
+ lemma fullCylinder_holds (s : AttachedSpec w D L) (r : S.Residues) :
68
+ s.fullCylinder.Holds r ↔ ∀ p : S.Index, s.spec.ResidueTest p s.vertex (r p) := by
69
+ constructor
70
+ · intro hr p
71
+ by_cases hp : (p:ℕ) ∈ s.spec.primeSupport
72
+ · have he := hr p (s.origin : ZMod (p:ℕ)) (by simp only [fullCylinder,ite_eq_left hp])
73
+ rw [he]
74
+ exact s.origin_tests p
75
+ · exact s.spec.test_vacuous p hp s.vertex (r p)
76
+ · intro hr p a ha
77
+ by_cases hp : (p:ℕ) ∈ s.spec.primeSupport
78
+ · have he : (s.origin : ZMod (p:ℕ))=a := Option.some.inj (by
79
+ simpa only [fullCylinder,ite_eq_left hp] using ha)
80
+ exact (s.spec.test_unique p hp s.vertex (r p) _ (hr p) (s.origin_tests p)).trans he
81
+ · simp [fullCylinder,hp] at ha
82
+
83
+ @[simp] lemma mem_fullCylinder_support (s : AttachedSpec w D L) (p : S.Index) :
84
+ p ∈ s.fullCylinder.support ↔ (p:ℕ) ∈ s.spec.primeSupport := by
85
+ by_cases hp : (p:ℕ) ∈ s.spec.primeSupport <;>
86
+ simp [Cylinder.support,fullCylinder,hp]
87
+
88
+ lemma fullCylinder_width (s : AttachedSpec w D L) :
89
+ s.fullCylinder.support.card ≤ L*⌈C₀*Real.log B⌉₊+1 := by
90
+ have he : s.fullCylinder.support = univ.image (specSlotPrime s.spec) := by
91
+ ext p
92
+ simp only [mem_fullCylinder_support,mem_image,mem_univ,true_and]
93
+ exact specSupport_iff_slot s.spec p
94
+ rw [he]
95
+ exact card_image_le.trans (by simpa using specPrimeSlot_card s.spec)
96
+
97
+ lemma fullCylinder_integer (s : AttachedSpec w D L) (n : ℤ) :
98
+ s.fullCylinder.Holds (S.integerResidues n) ↔ s.spec.QualifiesAt (n+s.vertex) := by
99
+ rw [s.fullCylinder_holds]
100
+ exact (s.spec.qualifies_iff_residueTests n s.vertex).symm
101
+
102
+ end AttachedSpec
103
+
104
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
105
+
106
+ end
107
+
108
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TiltedListLocalMean.lean ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.AmplitudeGeOne
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.LocalUnlitCount
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
16
+ open Finset Classical
17
+ noncomputable section
18
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
19
+
20
+ lemma tilted_list_local_mean (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
21
+ (p : S.Index) (z : ℝ) (hz : 1 ≤ z) (hzp : z^2 ≤ (p:ℝ)) :
22
+ avg (fun r => |localWithList w 𝔏 p r| * z^(repeatedUnlitLocal w p r)) ≤
23
+ S.amplitude p ^ S.occurrenceCount w p *
24
+ (if p ∈ fullUsedIndices w 𝔏 then ((ℓ:ℝ)+2)*(p:ℝ)⁻¹ else 1) := by
25
+ by_cases hr : ¬S.IsCore p ∧ 2 ≤ S.occurrenceCount w p
26
+ · have he : ∃ i, (p:ℕ) ∣ w.label i := by
27
+ have hm : (univ.filter (fun i : Fin ℓ => (p:ℕ) ∣ w.label i)).Nonempty := by
28
+ rw [←card_pos]; exact lt_of_lt_of_le (by norm_num) hr.2
29
+ obtain ⟨i,hi⟩ := hm
30
+ exact ⟨i,(mem_filter.mp hi).2⟩
31
+ have hp : p ∈ fullUsedIndices w 𝔏 := mem_filter.mpr ⟨mem_univ _,Or.inl he⟩
32
+ simp only [repeatedUnlitLocal,hr,amplitude,ite_false,one_pow,
33
+ one_mul,ite_eq_left hp]
34
+ calc
35
+ _ ≤ avg (fun r => |S.primeFactor w p r| *z^(localUnlitCount w p r)) := by
36
+ apply avg_mono
37
+ intro r
38
+ apply mul_le_mul_of_nonneg_right _ (pow_nonneg (zero_le_one.trans hz) _)
39
+ rw [localWithList,abs_mul,abs_of_nonneg (listLocal_nonneg w 𝔏 p r)]
40
+ exact mul_le_of_le_one_right (abs_nonneg _) (listLocal_le_one w 𝔏 p r)
41
+ _ ≤ ((ℓ:ℝ)+1)*(p:ℝ)⁻¹ := center_tilt_mean w p hr.1 hr.2 z hz hzp
42
+ _ ≤ _ := mul_le_mul_of_nonneg_right (by linarith) (by positivity)
43
+ · simp only [repeatedUnlitLocal,hr,ite_false,pow_zero,mul_one]
44
+ apply (crude_prime_mean w 𝔏 p).trans
45
+ apply mul_le_mul_of_nonneg_left _ (pow_nonneg (zero_le_one.trans (amplitude_ge_one p)) _)
46
+ split_ifs
47
+ · apply mul_le_mul_of_nonneg_right _ (by positivity)
48
+ linarith [(Nat.cast_nonneg ℓ : (0:ℝ) ≤ (ℓ:ℝ))]
49
+ · exact le_rfl
50
+
51
+ lemma repeated_unlit_tail_integral (w : ClosedLine h ℓ)
52
+ (hl : ∀ i, w.label i ∈ D.members) {T : ℝ} (cut : S.Cutoffs T)
53
+ (𝔏 : List (AttachedSpec w D L)) (z : ℝ) (hz : 1 ≤ z)
54
+ (hzp : ∀ p : S.Index, z^2 ≤ (p:ℝ)) (t : ℕ) :
55
+ (avg (fun r : S.Residues => if t ≤ repeatedUnlitTotal w r then
56
+ |S.kernel w cut r| *listIndicator w 𝔏 r else 0))*z^t ≤
57
+ A^(ℓ*⌈C₀*Real.log B⌉₊)*((ℓ:ℝ)+2)^(fullUsedIndices w 𝔏).card *
58
+ ∏ p ∈ fullUsedIndices w 𝔏,(p:ℝ)⁻¹ := by
59
+ have hz0 : 0 ≤ z := zero_le_one.trans hz
60
+ have hpt (r : S.Residues) :
61
+ (if t ≤ repeatedUnlitTotal w r then |S.kernel w cut r| *listIndicator w 𝔏 r else 0)*z^t ≤
62
+ ∏ p : S.Index, |localWithList w 𝔏 p (r p)| *z^(repeatedUnlitLocal w p (r p)) := by
63
+ rw [prod_mul_distrib,prod_pow_eq_pow_sum]
64
+ by_cases ht : t ≤ repeatedUnlitTotal w r
65
+ · rw [ite_eq_left ht,absolute_list_factorization]
66
+ apply mul_le_mul
67
+ · exact mul_le_of_le_one_left (prod_nonneg (fun p hp => abs_nonneg _)) (cutoffProduct_le_one w cut _)
68
+ · exact pow_le_pow_right₀ hz ht
69
+ · exact pow_nonneg hz0 _
70
+ · exact prod_nonneg (fun p hp => abs_nonneg _)
71
+ · rw [ite_eq_right ht,zero_mul]
72
+ exact mul_nonneg (prod_nonneg (fun p hp => abs_nonneg _)) (pow_nonneg hz0 _)
73
+ calc
74
+ _ = avg (fun r : S.Residues => (if t ≤ repeatedUnlitTotal w r then
75
+ |S.kernel w cut r| *listIndicator w 𝔏 r else 0)*z^t) := (avg_mul_right _ _).symm
76
+ _ ≤ avg (fun r : S.Residues => ∏ p : S.Index,
77
+ |localWithList w 𝔏 p (r p)| *z^(repeatedUnlitLocal w p (r p))) := avg_mono hpt
78
+ _ = ∏ p : S.Index, avg (fun r => |localWithList w 𝔏 p r| *z^(repeatedUnlitLocal w p r)) := by
79
+ convert avg_product (Ω := fun p : S.Index => ZMod (p:ℕ))
80
+ (fun p r => |localWithList w 𝔏 p r| *z^(repeatedUnlitLocal w p r)) using 1
81
+ congr 1
82
+ exact Subsingleton.elim _ _
83
+ _ ≤ ∏ p : S.Index, S.amplitude p ^ S.occurrenceCount w p *
84
+ (if p ∈ fullUsedIndices w 𝔏 then ((ℓ:ℝ)+2)*(p:ℝ)⁻¹ else 1) :=
85
+ prod_le_prod₀ (fun p hp => avg_nonneg (fun r => mul_nonneg (abs_nonneg _) (pow_nonneg hz0 _)))
86
+ (fun p hp => tilted_list_local_mean w 𝔏 p z hz (hzp p))
87
+ _ = (∏ p : S.Index, S.amplitude p ^ S.occurrenceCount w p)*
88
+ (((ℓ:ℝ)+2)^(fullUsedIndices w 𝔏).card * ∏ p ∈ fullUsedIndices w 𝔏,(p:ℝ)⁻¹) := by
89
+ rw [prod_mul_distrib,prod_ite_mem,univ_inter,prod_mul_distrib,prod_const]
90
+ _ ≤ _ := by
91
+ simpa only [mul_assoc] using mul_le_mul_of_nonneg_right (crude_amplitude_product w hl)
92
+ (by positivity : 0 ≤ ((ℓ:ℝ)+2)^(fullUsedIndices w 𝔏).card * ∏ p ∈ fullUsedIndices w 𝔏,(p:ℝ)⁻¹)
93
+
94
+ end
95
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
96
+
97
+ end
98
+
99
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TokenSlot.lean ADDED
@@ -0,0 +1,212 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.AllSlotMasses
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.FlatSlot
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+
13
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.PivotSummation
15
+ open OrdinaryCorrelations.NumericalSubtrees
16
+ open Finset Classical Filter
17
+ variable {h ℓ : ℕ} {w : ClosedLine h ℓ} {S : PrimeSystem}
18
+
19
+ local instance tokenTypeDec (w : ClosedLine h ℓ) : DecidableEq (TokenType w) := Classical.decEq _
20
+ local instance primeIndexDec (S : PrimeSystem) : DecidableEq S.Index := Classical.decEq _
21
+
22
+ abbrev TokenSlot (j : TokenType w → ℕ) := FactorialAssignments.FlatSlot j
23
+
24
+ local instance tokenSlotDec (j : TokenType w → ℕ) : DecidableEq (TokenSlot j) := Classical.decEq _
25
+
26
+ def slotShape (j : TokenType w → ℕ) (s : TokenSlot j) : Shape w := s.1.2
27
+
28
+ def slotCore (j : TokenType w → ℕ) (s : TokenSlot j) : Prop := s.1.1 = true
29
+
30
+ def unorderedEdgeProduct (j : TokenType w → ℕ)
31
+ (U : FactorialAssignments.Unordered (P := S.Index) j) (e : Fin ℓ) : ℝ :=
32
+ ∏ t : TokenType w, if e ∈ t.2.edges.val then ∏ p ∈ (U t).val, (p.val : ℝ) else 1
33
+
34
+ def unorderedBins (j : TokenType w → ℕ)
35
+ (C : Fin ℓ → ℝ) (H τ : ℝ) (U : FactorialAssignments.Unordered (P := S.Index) j) : Prop :=
36
+ ∀ e ∈ w.treeSteps, H < C e * unorderedEdgeProduct j U e ∧
37
+ C e * unorderedEdgeProduct j U e ≤ τ*H
38
+
39
+ lemma slotEdgeProduct_named (j : TokenType w → ℕ)
40
+ (x : FactorialAssignments.Named (P := S.Index) j) (e : Fin ℓ) :
41
+ slotEdgeProduct (slotShape j) S (FactorialAssignments.namedFlat j x) e =
42
+ unorderedEdgeProduct j (FactorialAssignments.forget j x) e := by
43
+ let : DecidableEq S.Index := Classical.decEq _
44
+ unfold slotEdgeProduct unorderedEdgeProduct
45
+ rw [Fintype.prod_sigma]
46
+ apply prod_congr rfl
47
+ intro t ht
48
+ by_cases he : e ∈ t.2.edges.val
49
+ · simp only [slotShape,he,ite_true,FactorialAssignments.forget,
50
+ FactorialAssignments.forgetBlock]
51
+ rw [prod_image (fun i _ k _ hik => (x t).injective hik)]
52
+ apply prod_congr rfl
53
+ intro i hi
54
+ rfl
55
+ · simp only [slotShape,he,ite_false,prod_const_one]
56
+
57
+ lemma pivotBinIndicator_nonneg (j : TokenType w → ℕ)
58
+ (C : Fin ℓ → ℝ) (H τ : ℝ) (x : TokenSlot j → S.Index) :
59
+ 0 ≤ pivotBinIndicator (slotShape j) (slotCore j) S C H τ x := by
60
+ unfold pivotBinIndicator
61
+ apply prod_nonneg
62
+ intro i hi
63
+ split_ifs <;> norm_num
64
+
65
+ lemma unorderedBins_gate (j : TokenType w → ℕ)
66
+ (C : Fin ℓ → ℝ) (H τ : ℝ) (x : FactorialAssignments.Named (P := S.Index) j)
67
+ (hx : unorderedBins j C H τ (FactorialAssignments.forget j x)) :
68
+ pivotBinIndicator (slotShape j) (slotCore j) S C H τ (FactorialAssignments.namedFlat j x) = 1 := by
69
+ unfold pivotBinIndicator
70
+ apply prod_eq_one
71
+ intro i hi
72
+ rw [slotEdgeProduct_named]
73
+ have he : (slotShape j (orderedPivot (slotShape j) (slotCore j) i)).topEdge ∈ w.treeSteps :=
74
+ Shape.grows _ |>.1 (Shape.topEdge_mem _)
75
+ exact ite_eq_left (hx _ he)
76
+
77
+ lemma token_constants_product (j : TokenType w → ℕ) (u : TokenType w → ℝ)
78
+ (x : TokenSlot j → S.Index) :
79
+ (∏ s : TokenSlot j, u s.1 * slotWeight S (slotCore j s) (x s)) =
80
+ (∏ t, u t ^ j t) * ∏ s : TokenSlot j, slotWeight S (slotCore j s) (x s) := by
81
+ rw [prod_mul_distrib]
82
+ congr 1
83
+ rw [Fintype.prod_sigma]
84
+ simp only [prod_const,card_univ,Fintype.card_fin]
85
+
86
+ lemma slot_mass_product (j : TokenType w → ℕ) (vC vZ : ℝ) :
87
+ (∏ s : TokenSlot j, if slotCore j s then vC else vZ) =
88
+ ∏ t : TokenType w, tokenMass w vC vZ t ^ j t := by
89
+ rw [Fintype.prod_sigma]
90
+ apply prod_congr rfl
91
+ intro t ht
92
+ cases he : t.1 <;> simp [slotCore,tokenMass,he]
93
+
94
+ lemma token_gated_sum (j : TokenType w → ℕ) (u : TokenType w → ℝ)
95
+ (C : Fin ℓ → ℝ) (H τ : ℝ) :
96
+ (∑ x : TokenSlot j → S.Index,
97
+ pivotBinIndicator (slotShape j) (slotCore j) S C H τ x *
98
+ ∏ s : TokenSlot j, u s.1 * slotWeight S (s.1.1=true) (x s)) =
99
+ (∏ t, u t ^ j t) *
100
+ (∑ x : TokenSlot j → S.Index,
101
+ pivotBinIndicator (slotShape j) (slotCore j) S C H τ x *
102
+ ∏ s : TokenSlot j, slotWeight S (slotCore j s) (x s)) := by
103
+ rw [mul_sum]
104
+ apply sum_congr rfl
105
+ intro x hx
106
+ change _ * (∏ s : TokenSlot j, u s.1 * slotWeight S (slotCore j s) (x s)) = _
107
+ rw [token_constants_product]
108
+ ring
109
+
110
+ lemma token_mass_algebra (j : TokenType w → ℕ) (u : TokenType w → ℝ) (vC vZ K : ℝ) :
111
+ (∏ t, u t ^ j t) * (K * ∏ s : TokenSlot j, if slotCore j s then vC else vZ) =
112
+ K * ∏ t : TokenType w, (tokenMass w vC vZ t * u t) ^ j t := by
113
+ rw [slot_mass_product]
114
+ simp_rw [mul_pow]
115
+ rw [prod_mul_distrib]
116
+ ring
117
+
118
+ def tokenNamedSum (S : PrimeSystem) (j : TokenType w → ℕ)
119
+ (u : TokenType w → ℝ) (C : Fin ℓ → ℝ) (H τ : ℝ) : ℝ :=
120
+ ∑ x : TokenSlot j → S.Index,
121
+ pivotBinIndicator (slotShape j) (slotCore j) S C H τ x *
122
+ ∏ s : TokenSlot j, u s.1 * slotWeight S (s.1.1=true) (x s)
123
+
124
+ def tokenMassProduct (j : TokenType w → ℕ) (vC vZ : ℝ) (u : TokenType w → ℝ) : ℝ :=
125
+ ∏ t : TokenType w, (tokenMass w vC vZ t * u t) ^ j t
126
+
127
+ def tokenFactorialProduct (j : TokenType w → ℕ) (vC vZ : ℝ) (u : TokenType w → ℝ) : ℝ :=
128
+ ∏ t : TokenType w, (tokenMass w vC vZ t * u t) ^ j t / (j t).factorial
129
+
130
+ def unorderedTokenSum (S : PrimeSystem) (j : TokenType w → ℕ)
131
+ (u : TokenType w → ℝ) (C : Fin ℓ → ℝ) (H τ : ℝ)
132
+ (V : FactorialAssignments.Unordered (P := S.Index) j → Prop) : ℝ :=
133
+ ∑ U : FactorialAssignments.Unordered (P := S.Index) j,
134
+ if V U ∧ unorderedBins j C H τ U then
135
+ FactorialAssignments.unorderedWeight j
136
+ (fun t p => u t * slotWeight S (t.1=true) p) U else 0
137
+
138
+ def NamedTokenBound (S : PrimeSystem) (K τ : ℝ) : Prop :=
139
+ ∀ (h ℓ : ℕ) (w : ClosedLine h ℓ) (j : TokenType w → ℕ)
140
+ (C : Fin ℓ → ℝ), (∀ e, 0 < C e) → ∀ H : ℝ,
141
+ ∀ (u : TokenType w → ℝ), (∀ t, 0 ≤ u t) →
142
+ tokenNamedSum S j u C H τ ≤
143
+ K^(pivotEdges (slotShape j) (slotCore j)).card *
144
+ tokenMassProduct j S.harmonicCore S.harmonicCenter u
145
+
146
+ def PrimeNamedBound (S : PrimeSystem) (K τ : ℝ) : Prop :=
147
+ ∀ (h ℓ : ℕ) (w : ClosedLine h ℓ) (σ : Type) [Fintype σ],
148
+ ∀ (q : σ → Shape w) (core : σ → Prop) (C : Fin ℓ → ℝ),
149
+ (∀ e, 0 < C e) → ∀ H : ℝ,
150
+ (∑ x : σ → S.Index, pivotBinIndicator q core S C H τ x *
151
+ ∏ s, slotWeight S (core s) (x s)) ≤
152
+ K^(pivotEdges q core).card *
153
+ ∏ s : σ, if core s then S.harmonicCore else S.harmonicCenter
154
+
155
+ lemma namedTokenBound_of_prime (S : PrimeSystem) (K τ : ℝ)
156
+ (hB : PrimeNamedBound S K τ) : NamedTokenBound S K τ := by
157
+ intro h ℓ w j C hC H u hu
158
+ unfold tokenNamedSum tokenMassProduct
159
+ rw [token_gated_sum]
160
+ have hp := hB h ℓ w (TokenSlot j) (slotShape j) (slotCore j) C hC H
161
+ have h0 : 0 ≤ ∏ t, u t ^ j t := prod_nonneg (fun t _ => pow_nonneg (hu t) _)
162
+ have he := mul_le_mul_of_nonneg_left hp h0
163
+ rw [token_mass_algebra] at he
164
+ exact he
165
+
166
+ lemma source_token_named_sum (τ : ℝ) (hτ : 0 < τ) :
167
+ ∀ᶠ B : ℝ in atTop, NamedTokenBound (sourceSystem B)
168
+ (((Real.log 4+1)*τ)/B^(1-eta)) τ := by
169
+ filter_upwards [source_named_prime_sum τ hτ] with B hB
170
+ exact namedTokenBound_of_prime _ _ _ hB
171
+
172
+ def UnorderedTokenBound (S : PrimeSystem) (K τ : ℝ) : Prop :=
173
+ ∀ (h ℓ : ℕ) (w : ClosedLine h ℓ) (j : TokenType w → ℕ)
174
+ (C : Fin ℓ → ℝ), (∀ e, 0 < C e) → ∀ H : ℝ,
175
+ ∀ (V : FactorialAssignments.Unordered (P := S.Index) j → Prop)
176
+ (u : TokenType w → ℝ), (∀ t, 0 ≤ u t) →
177
+ unorderedTokenSum S j u C H τ V ≤
178
+ K^(pivotEdges (slotShape j) (slotCore j)).card *
179
+ tokenFactorialProduct j S.harmonicCore S.harmonicCenter u
180
+
181
+ lemma unorderedTokenBound_of_named (S : PrimeSystem) (K τ : ℝ)
182
+ (hB : NamedTokenBound S K τ) : UnorderedTokenBound S K τ := by
183
+ intro h ℓ w j C hC H V u hu
184
+ have hg := FactorialAssignments.unordered_gated_sum j
185
+ (fun U => V U ∧ unorderedBins j C H τ U)
186
+ (fun t p => u t * slotWeight S (t.1=true) p)
187
+ (fun t p => mul_nonneg (hu t) (slotWeight_nonneg _ _ _))
188
+ (pivotBinIndicator (slotShape j) (slotCore j) S C H τ)
189
+ (pivotBinIndicator_nonneg j C H τ)
190
+ (fun x hx => unorderedBins_gate j C H τ x hx.2)
191
+ have hp := hB h ℓ w j C hC H u hu
192
+ have hd : 0 ≤ ((∏ t : TokenType w, (j t).factorial : ℕ) : ℝ) := Nat.cast_nonneg _
193
+ have hc := hg.trans (div_le_div_of_nonneg_right hp hd)
194
+ unfold unorderedTokenSum
195
+ convert hc using 1
196
+ · apply Finset.sum_congr rfl
197
+ intro U hU
198
+ by_cases hv : V U ∧ unorderedBins j C H τ U <;> simp only [hv,ite_false]
199
+ · unfold tokenMassProduct tokenFactorialProduct
200
+ rw [prod_div_distrib,← Nat.cast_prod,mul_div_assoc]
201
+
202
+ theorem source_unordered_prime_sum (τ : ℝ) (hτ : 0 < τ) :
203
+ ∀ᶠ B : ℝ in atTop, UnorderedTokenBound (sourceSystem B)
204
+ (((Real.log 4+1)*τ)/B^(1-eta)) τ := by
205
+ filter_upwards [source_token_named_sum τ hτ] with B hB
206
+ exact unorderedTokenBound_of_named _ _ _ hB
207
+
208
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
209
+
210
+ end
211
+
212
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Topology.lean ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TreeDestinationInjective
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+
11
+ namespace OrdinaryCorrelations.NumericalSubtrees
12
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
13
+ open Finset Classical
14
+ variable {h ℓ : ℕ}
15
+
16
+ @[reducible] def Topology (ℓ r : ℕ) :=
17
+ (R : {R : Finset (Fin ℓ) // R.card=r}) × ((Fin ℓ → Bool) × (↥R.val → Fin (ℓ+1)))
18
+
19
+ lemma topology_card (ℓ r : ℕ) : Fintype.card (Topology ℓ r) ≤ 4^ℓ*(ℓ+1)^r := by
20
+ rw [Fintype.card_sigma]
21
+ have he : ∀ R : {R : Finset (Fin ℓ) // R.card=r},
22
+ Fintype.card ((Fin ℓ → Bool) × (↥R.val → Fin (ℓ+1))) = 2^ℓ*(ℓ+1)^r := by
23
+ intro R
24
+ simp only [Fintype.card_prod,Fintype.card_fun,Fintype.card_bool,Fintype.card_fin,
25
+ Fintype.card_coe,R.property]
26
+ simp_rw [he]
27
+ rw [sum_const,nsmul_eq_mul,Nat.cast_id,card_univ]
28
+ have hc : Fintype.card {R : Finset (Fin ℓ) // R.card=r} ≤ 2^ℓ := by
29
+ simpa only [Fintype.card_finset,Fintype.card_fin] using
30
+ Fintype.card_subtype_le (fun R : Finset (Fin ℓ) => R.card=r)
31
+ calc
32
+ _ ≤ 2^ℓ*(2^ℓ*(ℓ+1)^r) := Nat.mul_le_mul_right _ hc
33
+ _ = _ := by rw [← mul_assoc,← mul_pow]; norm_num
34
+
35
+ lemma exists_return_target (w : ClosedLine h ℓ) (e : Fin ℓ) (he : e ∈ returnSteps w) :
36
+ ∃ j : Fin (ℓ+1), j.val ≤ e.val ∧ w.offset j = w.offset e.succ := by
37
+ have hn : ¬∀ j : Fin (ℓ+1), j.val ≤ e.val → w.offset j ≠ w.offset e.succ := by
38
+ intro ht
39
+ exact (mem_sdiff.mp he).2 (mem_filter.mpr ⟨mem_univ _,ht⟩)
40
+ push Not at hn
41
+ exact hn
42
+
43
+ def returnTarget (w : ClosedLine h ℓ) (e : Fin ℓ) (he : e ∈ returnSteps w) : Fin (ℓ+1) :=
44
+ Classical.choose (exists_return_target w e he)
45
+
46
+ lemma returnTarget_spec (w : ClosedLine h ℓ) (e : Fin ℓ) (he : e ∈ returnSteps w) :
47
+ (returnTarget w e he).val ≤ e.val ∧ w.offset (returnTarget w e he) = w.offset e.succ :=
48
+ Classical.choose_spec (exists_return_target w e he)
49
+
50
+ def signBit (w : ClosedLine h ℓ) (e : Fin ℓ) : Bool := decide (w.sign e=1)
51
+
52
+ lemma signBit_decode (w : ClosedLine h ℓ) (e : Fin ℓ) :
53
+ w.sign e = if signBit w e then 1 else -1 := by
54
+ rcases w.sign_mem e with hs | hs <;> simp [signBit,hs]
55
+
56
+ def encodeTopology (w : ClosedLine h ℓ) (r : ℕ) (hr : (returnSteps w).card=r) : Topology ℓ r :=
57
+ ⟨⟨returnSteps w,hr⟩, signBit w, fun e => returnTarget w e.val e.property⟩
58
+
59
+ def topologyTarget {r : ℕ} (t : Topology ℓ r) (e : Fin ℓ) : Fin (ℓ+1) :=
60
+ if he : e ∈ t.1.val then t.2.2 ⟨e,he⟩ else 0
61
+
62
+ lemma topologyTarget_encode (w : ClosedLine h ℓ) (r : ℕ) (hr : (returnSteps w).card=r)
63
+ (e : Fin ℓ) (he : e ∈ returnSteps w) :
64
+ topologyTarget (encodeTopology w r hr) e = returnTarget w e he := by
65
+ dsimp only [topologyTarget,encodeTopology]
66
+ rw [dite_eq_left he]
67
+
68
+ lemma ClosedLine.ext_values (w v : ClosedLine h ℓ)
69
+ (ho : w.offset=v.offset) (hl : w.label=v.label) (hs : w.sign=v.sign) : w=v := by
70
+ cases w
71
+ cases v
72
+ simp_all
73
+
74
+ theorem topology_tree_labels_injective (w v : ClosedLine h ℓ) (hh : 0 < h)
75
+ (r : ℕ) (hwr : (returnSteps w).card=r) (hvr : (returnSteps v).card=r)
76
+ (ht : encodeTopology w r hwr=encodeTopology v r hvr)
77
+ (hl : ∀ e ∈ w.treeSteps, w.label e=v.label e) : w=v := by
78
+ have hR : returnSteps w=returnSteps v := congrArg (fun t : Topology ℓ r => t.1.val) ht
79
+ have hs : ∀ e, w.sign e=v.sign e := by
80
+ intro e
81
+ have hb : signBit w e=signBit v e := congrArg (fun t : Topology ℓ r => t.2.1 e) ht
82
+ rw [signBit_decode w e,signBit_decode v e,hb]
83
+ have htar : ∀ e (he : e ∈ returnSteps w),
84
+ returnTarget w e he=returnTarget v e (hR ▸ he) := by
85
+ intro e he
86
+ have hte := congrArg (fun t : Topology ℓ r => topologyTarget t e) ht
87
+ simpa only [topologyTarget_encode w r hwr e he,
88
+ topologyTarget_encode v r hvr e (hR ▸ he)] using hte
89
+ have ho : ∀ j, w.offset j=v.offset j := by
90
+ have hd : ∀ n : ℕ, ∀ j : Fin (ℓ+1), j.val=n → w.offset j=v.offset j := by
91
+ intro n
92
+ induction n using Nat.strong_induction_on with
93
+ | h n ih =>
94
+ intro j hj
95
+ by_cases hj0 : j=0
96
+ · subst j
97
+ rw [w.start_zero,v.start_zero]
98
+ · obtain ⟨e,rfl⟩ := Fin.exists_succ_eq.mpr hj0
99
+ have heprev := ih e.val (by simpa only [← hj,Fin.val_succ] using Nat.lt_succ_self e.val)
100
+ e.castSucc rfl
101
+ by_cases het : e ∈ w.treeSteps
102
+ · have hw := w.step e
103
+ have hv := v.step e
104
+ rw [hl e het,hs e] at hw
105
+ linarith only [hw,hv,heprev]
106
+ · have her : e ∈ returnSteps w := mem_sdiff.mpr ⟨mem_univ _,het⟩
107
+ have hert : (returnTarget w e her).val<n := by
108
+ have hle := (returnTarget_spec w e her).1
109
+ simp only [Fin.val_succ] at hj
110
+ omega
111
+ have hi := ih _ hert (returnTarget w e her) rfl
112
+ rw [(returnTarget_spec w e her).2,htar e her,
113
+ (returnTarget_spec v e (hR ▸ her)).2] at hi
114
+ exact hi
115
+ intro j
116
+ exact hd j.val j rfl
117
+ have hall : ∀ e, w.label e=v.label e := by
118
+ intro e
119
+ have hw := w.step e
120
+ have hv := v.step e
121
+ rw [ho e.succ,ho e.castSucc,hs e] at hw
122
+ have hn : v.sign e*(h : ℤ) ≠ 0 := mul_ne_zero
123
+ (by rcases v.sign_mem e with hs | hs <;> rw [hs] <;> norm_num)
124
+ (by exact_mod_cast ne_of_gt hh)
125
+ have hm : (v.sign e*(h : ℤ))*(w.label e : ℤ) =
126
+ (v.sign e*(h : ℤ))*(v.label e : ℤ) := hw.symm.trans hv
127
+ have he := mul_left_cancel₀ hn hm
128
+ exact_mod_cast he
129
+ exact ClosedLine.ext_values w v (funext ho) (funext hall) (funext hs)
130
+
131
+ end OrdinaryCorrelations.NumericalSubtrees
132
+
133
+ end
134
+
135
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TopologyTreeSteps.lean ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.BitWeight
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Topology
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+
13
+ namespace OrdinaryCorrelations.NumericalSubtrees
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open Finset Classical
16
+ variable {h ℓ r : ℕ} {w v : ClosedLine h ℓ}
17
+
18
+ lemma topology_treeSteps (hw : (returnSteps w).card=r) (hv : (returnSteps v).card=r)
19
+ (ht : encodeTopology w r hw=encodeTopology v r hv) : w.treeSteps=v.treeSteps := by
20
+ have hr : returnSteps w=returnSteps v := congrArg (fun t : Topology ℓ r => t.1.val) ht
21
+ ext e
22
+ have he := congrArg (fun E => e ∈ E) hr
23
+ simp only [returnSteps,Finset.mem_sdiff,mem_univ,true_and] at he
24
+ tauto
25
+
26
+ lemma topology_target_eq (hw : (returnSteps w).card=r) (hv : (returnSteps v).card=r)
27
+ (ht : encodeTopology w r hw=encodeTopology v r hv)
28
+ (e : Fin ℓ) (hew : e ∈ returnSteps w) (hev : e ∈ returnSteps v) :
29
+ returnTarget w e hew = returnTarget v e hev := by
30
+ have hte := congrArg (fun t : Topology ℓ r => topologyTarget t e) ht
31
+ simpa only [topologyTarget_encode w r hw e hew,
32
+ topologyTarget_encode v r hv e hev] using hte
33
+
34
+ theorem topology_offset_pattern (hw : (returnSteps w).card=r) (hv : (returnSteps v).card=r)
35
+ (ht : encodeTopology w r hw=encodeTopology v r hv) (i j : Fin (ℓ+1)) :
36
+ w.offset i=w.offset j ↔ v.offset i=v.offset j := by
37
+ have htree := topology_treeSteps hw hv ht
38
+ have H : ∀ k : ℕ, ∀ i j : Fin (ℓ+1), i.val≤k → j.val≤k →
39
+ (w.offset i=w.offset j ↔ v.offset i=v.offset j) := by
40
+ intro k
41
+ induction k with
42
+ | zero =>
43
+ intro i j hi hj
44
+ have hij : i=j := Fin.ext (by omega)
45
+ subst j
46
+ simp
47
+ | succ k ih =>
48
+ intro i j hi hj
49
+ by_cases hik : i.val≤k
50
+ · by_cases hjk : j.val≤k
51
+ · exact ih i j hik hjk
52
+ · have hjev : j.val=k+1 := by omega
53
+ let e : Fin ℓ := ⟨k,by omega⟩
54
+ have hje : j=e.succ := Fin.ext hjev
55
+ rw [hje]
56
+ by_cases het : e ∈ w.treeSteps
57
+ · have hevt : e ∈ v.treeSteps := htree ▸ het
58
+ have hwn : w.offset i≠w.offset e.succ := (mem_filter.mp het).2 i hik
59
+ have hvn : v.offset i≠v.offset e.succ := (mem_filter.mp hevt).2 i hik
60
+ simp [hwn,hvn]
61
+ · have hew : e ∈ returnSteps w := Finset.mem_sdiff.mpr ⟨mem_univ _,het⟩
62
+ have hev : e ∈ returnSteps v := by
63
+ apply Finset.mem_sdiff.mpr
64
+ exact ⟨mem_univ _,by simpa only [← htree] using het⟩
65
+ have hetar := topology_target_eq hw hv ht e hew hev
66
+ have hs := returnTarget_spec w e hew
67
+ have hs' := returnTarget_spec v e hev
68
+ rw [← hs.2,← hs'.2,← hetar]
69
+ exact ih i (returnTarget w e hew) hik hs.1
70
+ · by_cases hjk : j.val≤k
71
+ · have hie : i.val=k+1 := by omega
72
+ let e : Fin ℓ := ⟨k,by omega⟩
73
+ have hi' : i=e.succ := Fin.ext hie
74
+ rw [hi']
75
+ by_cases het : e ∈ w.treeSteps
76
+ · have hevt : e ∈ v.treeSteps := htree ▸ het
77
+ have hwn : w.offset e.succ≠w.offset j := Ne.symm ((mem_filter.mp het).2 j hjk)
78
+ have hvn : v.offset e.succ≠v.offset j := Ne.symm ((mem_filter.mp hevt).2 j hjk)
79
+ simp [hwn,hvn]
80
+ · have hew : e ∈ returnSteps w := Finset.mem_sdiff.mpr ⟨mem_univ _,het⟩
81
+ have hev : e ∈ returnSteps v := by
82
+ apply Finset.mem_sdiff.mpr
83
+ exact ⟨mem_univ _,by simpa only [← htree] using het⟩
84
+ have hetar := topology_target_eq hw hv ht e hew hev
85
+ have hs := returnTarget_spec w e hew
86
+ have hs' := returnTarget_spec v e hev
87
+ rw [← hs.2,← hs'.2,← hetar]
88
+ exact ih (returnTarget w e hew) j hs.1 hjk
89
+ · have hij : i=j := Fin.ext (by omega)
90
+ subst j
91
+ simp
92
+ exact H ℓ i j (by omega) (by omega)
93
+
94
+ structure SameGeometry (w v : ClosedLine h ℓ) : Prop where
95
+ trees : w.treeSteps=v.treeSteps
96
+ pattern : ∀ i j, w.offset i=w.offset j ↔ v.offset i=v.offset j
97
+
98
+ lemma sameGeometry_of_topology (hw : (returnSteps w).card=r) (hv : (returnSteps v).card=r)
99
+ (ht : encodeTopology w r hw=encodeTopology v r hv) : SameGeometry w v :=
100
+ ⟨topology_treeSteps hw hv ht,topology_offset_pattern hw hv ht⟩
101
+
102
+ namespace SameGeometry
103
+ lemma symm (H : SameGeometry w v) : SameGeometry v w :=
104
+ ⟨H.trees.symm,fun i j => (H.pattern i j).symm⟩
105
+
106
+ lemma children (H : SameGeometry w v) (i : Fin (ℓ+1)) :
107
+ w.children (w.offset i)=v.children (v.offset i) := by
108
+ unfold ClosedLine.children
109
+ apply congrArg Finset.card
110
+ ext e
111
+ simp only [mem_filter,H.trees,H.pattern]
112
+
113
+ lemma root (H : SameGeometry w v) (i : Fin (ℓ+1)) : w.offset i=0 ↔ v.offset i=0 := by
114
+ simpa only [w.start_zero,v.start_zero] using H.pattern i 0
115
+
116
+ lemma noReturn (H : SameGeometry w v) (i : Fin (ℓ+1)) :
117
+ w.NoReturnIncidence (w.offset i) ↔ v.NoReturnIncidence (v.offset i) := by
118
+ simp only [ClosedLine.NoReturnIncidence,ne_eq,H.trees,H.pattern]
119
+
120
+ lemma good (H : SameGeometry w v) (e : Fin ℓ) : w.Good e ↔ v.Good e := by
121
+ simp only [ClosedLine.Good,ne_eq,H.trees,H.children,H.root,H.noReturn]
122
+
123
+ lemma grows (H : SameGeometry w v) (i : Fin (ℓ+1)) (E : Finset (Fin ℓ)) :
124
+ Grows w (w.offset i) E ↔ Grows v (v.offset i) E := by
125
+ simp only [Grows,H.trees,H.pattern]
126
+
127
+ end SameGeometry
128
+
129
+ end OrdinaryCorrelations.NumericalSubtrees
130
+
131
+ end
132
+
133
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TotalCodeMass.lean ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.FirstSlot
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.SharedSlotPatterns
14
+ open Finset Classical
15
+ variable {σ P : Type*} [Fintype σ] [Fintype P] [DecidableEq P]
16
+
17
+ lemma total_code_mass (W : P → ℝ) (hW : ∀ p, 0 ≤ W p) :
18
+ (∑ x : σ → Option P, ∏ p ∈ support x, W p) ≤
19
+ (Fintype.card σ+1:ℝ)*(Fintype.card σ+1:ℝ)^(Fintype.card σ)*
20
+ (max 1 (∑ p,W p))^(Fintype.card σ) := by
21
+ let N := Fintype.card σ
22
+ let H : ℝ := max 1 (∑ p,W p)
23
+ have hH : 1 ≤ H := le_max_left _ _
24
+ have he := weighted_code_sum (σ:=σ) (fun _ => 1) (by intro; norm_num) W hW
25
+ simp only [one_mul] at he
26
+ apply he.trans
27
+ change (∑ z : (m : Fin (N+1)) × (σ → Option (Fin m.val)) × (Fin m.val → P),
28
+ ∏ i, W (z.2.2 i)) ≤ _
29
+ rw [Fintype.sum_sigma]
30
+ calc
31
+ _ ≤ ∑ m : Fin (N+1), ((N+1:ℝ)^N*H^N) := by
32
+ apply sum_le_sum
33
+ intro m hm
34
+ rw [Fintype.sum_prod_type]
35
+ have hrow : (∑ v : Fin m.val → P, ∏ i, W (v i)) ≤ H^N := by
36
+ rw [←Fintype.prod_sum]
37
+ simp only [prod_const,card_univ,Fintype.card_fin]
38
+ apply (pow_le_pow_left₀ (sum_nonneg (fun p hp => hW p)) (le_max_right (1:ℝ) _) _).trans
39
+ exact pow_le_pow_right₀ hH (Nat.lt_succ_iff.mp m.isLt)
40
+ calc
41
+ _ ≤ ∑ _d : σ → Option (Fin m.val), H^N := sum_le_sum (fun d hd => hrow)
42
+ _ = ((m.val+1:ℕ):ℝ)^N*H^N := by simp [N]
43
+ _ ≤ _ := by
44
+ apply mul_le_mul_of_nonneg_right _ (pow_nonneg (zero_le_one.trans hH) _)
45
+ apply pow_le_pow_left₀ (by positivity)
46
+ have hm' : m.val ≤ N := Nat.lt_succ_iff.mp m.isLt
47
+ exact_mod_cast Nat.add_le_add_right hm' 1
48
+ _ = _ := by simp [N,H]; ring
49
+
50
+ end OrdinaryCorrelations.SharedSlotPatterns
51
+
52
+ end
53
+
54
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TotalUnlitCountEqSubtype.lean ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.AllCoreLit
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.UncutTreeEdges
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace Finset Classical
16
+ noncomputable section
17
+ variable {S : PrimeSystem} {h ℓ : ℕ}
18
+
19
+ lemma totalUnlitCount_eq_subtype (w : ClosedLine h ℓ) (a : S.FixedResidues w) :
20
+ totalUnlitCount w a = ∑ p : S.FixedIndex w, (unlitOccurrences w p.val (a p)).card := by
21
+ have he := Finset.sum_subtype (F:=inferInstance) (p:=S.IsFixed w)
22
+ (univ.filter (S.IsFixed w)) (by simp) (fixedUnlitCount w a)
23
+ rw [sum_filter] at he
24
+ have hf : (∑ p : S.Index, if S.IsFixed w p then fixedUnlitCount w a p else 0) =
25
+ totalUnlitCount w a := by
26
+ apply sum_congr rfl
27
+ intro p hp
28
+ by_cases hh : S.IsFixed w p <;> simp [hh,fixedUnlitCount]
29
+ rw [hf] at he
30
+ exact he.trans (sum_congr rfl (fun p hp => by simp [fixedUnlitCount,p.property]))
31
+
32
+ lemma cut_tree_edges_le_unlit (w : ClosedLine h ℓ) (a : S.FixedResidues w) :
33
+ (w.treeSteps \ uncutTreeEdges w a).card ≤ totalUnlitCount w a := by
34
+ have hs : w.treeSteps \ uncutTreeEdges w a ⊆
35
+ univ.biUnion (fun p : S.FixedIndex w => unlitOccurrences w p.val (a p)) := by
36
+ intro e he
37
+ have ht := (mem_sdiff.mp he).1
38
+ have hn : ¬ ∀ p : S.FixedIndex w, (p.val:ℕ) ∣ w.label e →
39
+ a p+(w.offset e.castSucc : ZMod (p.val:ℕ))=0 := by
40
+ intro ha
41
+ exact (mem_sdiff.mp he).2 (mem_filter.mpr ⟨ht,ha⟩)
42
+ push Not at hn
43
+ obtain ⟨p,hp,ha⟩ := hn
44
+ exact mem_biUnion.mpr ⟨p,mem_univ _,mem_filter.mpr ⟨mem_univ e,hp,ha⟩⟩
45
+ rw [totalUnlitCount_eq_subtype]
46
+ exact (card_le_card hs).trans (card_biUnion_le ..)
47
+
48
+ lemma cut_tree_edges_lt_of_core_lit (w : ClosedLine h ℓ) (a : S.FixedResidues w)
49
+ (hc : AllCoreLit w a) (t : ℕ) (hu : repeatedCenterUnlitCount w a<t) :
50
+ (w.treeSteps \ uncutTreeEdges w a).card < t := by
51
+ exact (cut_tree_edges_le_unlit w a).trans_lt ((totalUnlit_eq_center w a hc).symm ▸ hu)
52
+
53
+ end
54
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
55
+
56
+ end
57
+
58
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeBlocksWithEdges.lean ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TreeEdgeInjective
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.NumericalSubtrees
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.ForestTraversal Finset Classical SimpleGraph
16
+ noncomputable section
17
+ variable {h ℓ : ℕ}
18
+
19
+ theorem tree_blocks_with_edges (w : ClosedLine h ℓ) (hh : 0<h) (H : Finset (Fin ℓ))
20
+ (L : ℕ) (hL : 0<L) :
21
+ ∃ bs : List (Block (edgeGraph w hh (w.treeSteps \ H))),
22
+ bs.length ≤ (2*ℓ)/L+2*H.card+1 ∧
23
+ (∀ b ∈ bs,b.walk.length ≤ L) ∧
24
+ (∀ z ∈ treeVertices w,∃ b ∈ bs,z ∈ b.walk.support) ∧
25
+ (∀ e ∈ w.treeSteps \ H,∃ b ∈ bs,treeEdge w e ∈ b.walk.edges) := by
26
+ obtain ⟨p,hplen,hcover,hcount⟩ := grown_tour w hh 0 w.treeSteps (grows_full_tree w)
27
+ obtain ⟨bs,hbs,hbl,hbc⟩ := chunk_cut_cover (edgeGraph w hh (w.treeSteps \ H)) L hL p
28
+ refine ⟨bs,?_,hbl,?_,?_⟩
29
+ · have hcut := tour_cutCount w hh H p hcount
30
+ have hcard : w.treeSteps.card ≤ ℓ := by simpa using card_le_univ w.treeSteps
31
+ have hlen : p.length ≤ 2*ℓ := by rw [hplen]; omega
32
+ exact hbs.trans (Nat.add_le_add_right (Nat.add_le_add (Nat.div_le_div_right hlen) hcut) 1)
33
+ · intro z hz
34
+ exact hbc.1 z (hcover z (reached_full_tree w ▸ hz))
35
+ · intro e he
36
+ apply hbc.2
37
+ · apply List.count_pos_iff.mp
38
+ rw [hcount]
39
+ have hc : 0<(w.treeSteps.filter (fun f => treeEdge w f=treeEdge w e)).card :=
40
+ card_pos.mpr ⟨e,mem_filter.mpr ⟨(mem_sdiff.mp he).1,rfl⟩⟩
41
+ omega
42
+ · exact edgeGraph_adj w hh _ e he
43
+
44
+ theorem full_tree_blocks (w : ClosedLine h ℓ) (hh : 0<h) (L : ℕ) (hL : 0<L) :
45
+ ∃ bs : List (Block (edgeGraph w hh w.treeSteps)),
46
+ bs.length ≤ (2*ℓ)/L+1 ∧ (∀ b ∈ bs,b.walk.length ≤ L) ∧
47
+ (∀ z ∈ treeVertices w,∃ b ∈ bs,z ∈ b.walk.support) ∧
48
+ (∀ e ∈ w.treeSteps,∃ b ∈ bs,treeEdge w e ∈ b.walk.edges) := by
49
+ obtain ⟨p,hplen,hcover,hcount⟩ := grown_tour w hh 0 w.treeSteps (grows_full_tree w)
50
+ obtain ⟨bs,hbs,hbl,hbc⟩ := chunk_cut_cover (edgeGraph w hh w.treeSteps) L hL p
51
+ have hcut : cutCount (edgeGraph w hh w.treeSteps) p=0 := by
52
+ apply List.countP_eq_zero.mpr
53
+ intro e he hn
54
+ have hnot : e ∉ (edgeGraph w hh w.treeSteps).edgeSet := of_decide_eq_true hn
55
+ exact hnot (p.edges_subset_edgeSet he)
56
+ refine ⟨bs,?_,hbl,?_,?_⟩
57
+ · have hcard : w.treeSteps.card ≤ ℓ := by simpa using card_le_univ w.treeSteps
58
+ have hlen : p.length ≤ 2*ℓ := by rw [hplen]; omega
59
+ rw [hcut,Nat.add_zero] at hbs
60
+ exact hbs.trans (Nat.add_le_add_right (Nat.div_le_div_right hlen) 1)
61
+ · intro z hz
62
+ exact hbc.1 z (hcover z (reached_full_tree w ▸ hz))
63
+ · intro e he
64
+ apply hbc.2
65
+ · apply List.count_pos_iff.mp
66
+ rw [hcount]
67
+ have hc : 0<(w.treeSteps.filter (fun f => treeEdge w f=treeEdge w e)).card :=
68
+ card_pos.mpr ⟨e,mem_filter.mpr ⟨he,rfl⟩⟩
69
+ omega
70
+ · exact edgeGraph_adj w hh _ e he
71
+
72
+ end
73
+ end OrdinaryCorrelations.NumericalSubtrees
74
+
75
+ end
76
+
77
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeDestinationInjective.lean ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TreeVertices
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+
10
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
11
+ open OrdinaryCorrelations.SignedTrace
12
+ open Finset Classical
13
+ variable {h ℓ : ℕ}
14
+
15
+ lemma tree_destination_injective (w : ClosedLine h ℓ) :
16
+ Set.InjOn (fun i : Fin ℓ => w.offset i.succ) w.treeSteps := by
17
+ intro i hi j hj heq
18
+ have hi' := (mem_filter.mp hi).2
19
+ have hj' := (mem_filter.mp hj).2
20
+ apply Fin.ext
21
+ by_contra hn
22
+ rcases lt_or_gt_of_ne hn with hij | hji
23
+ · exact hj' i.succ (by change i.val + 1 ≤ j.val; omega) heq
24
+ · exact hi' j.succ (by change j.val + 1 ≤ i.val; omega) heq.symm
25
+
26
+ lemma tree_destination_nonzero (w : ClosedLine h ℓ) (i : Fin ℓ) (hi : i ∈ w.treeSteps) :
27
+ w.offset i.succ ≠ 0 := by
28
+ have h := (mem_filter.mp hi).2 0 (Nat.zero_le _)
29
+ rwa [w.start_zero, ne_comm] at h
30
+
31
+ lemma has_incoming_edge (w : ClosedLine h ℓ) (v : ℤ)
32
+ (hv : v ∈ treeVertices w) (hv0 : v ≠ 0) :
33
+ ∃ i ∈ w.treeSteps, w.offset i.succ = v := by
34
+ let visits : Finset (Fin (ℓ+1)) := univ.filter (fun j => w.offset j = v)
35
+ have hn : visits.Nonempty := by
36
+ obtain ⟨j,hj,hv⟩ := mem_image.mp hv
37
+ exact ⟨j,mem_filter.mpr ⟨hj,hv⟩⟩
38
+ let j := visits.min' hn
39
+ have hj : w.offset j = v := (mem_filter.mp (min'_mem visits hn)).2
40
+ have hj0 : j ≠ 0 := by
41
+ intro heq
42
+ rw [heq, w.start_zero] at hj
43
+ exact hv0 hj.symm
44
+ obtain ⟨i,hi⟩ := Fin.eq_succ_of_ne_zero hj0
45
+ refine ⟨i,mem_filter.mpr ⟨mem_univ _,?_⟩,?_⟩
46
+ · intro k hk hki
47
+ have hkv : w.offset k = v := by rw [hki, ← hi]; exact hj
48
+ have hkmin : j ≤ k := min'_le visits k (mem_filter.mpr ⟨mem_univ _,hkv⟩)
49
+ have hkmin' : j.val ≤ k.val := hkmin
50
+ rw [hi, Fin.val_succ] at hkmin'
51
+ omega
52
+ · rwa [← hi]
53
+
54
+ def goodOrigins (w : ClosedLine h ℓ) : Finset ℤ :=
55
+ (univ.filter w.Good).image (fun i => w.offset i.castSucc)
56
+
57
+ lemma good_origin_data (w : ClosedLine h ℓ) {v : ℤ} (hv : v ∈ goodOrigins w) :
58
+ v ∈ treeVertices w ∧ v ≠ 0 ∧ w.children v = 1 ∧ w.NoReturnIncidence v := by
59
+ obtain ⟨i, hi, rfl⟩ := mem_image.mp hv
60
+ have hg := (mem_filter.mp hi).2
61
+ exact ⟨departure_mem_vertices w i, hg.2.2.2.1, hg.2.1, hg.2.2.2.2.1⟩
62
+
63
+ def incomingCharges (w : ClosedLine h ℓ) (U : Finset ℤ) : Finset (Fin ℓ) :=
64
+ w.treeSteps.filter (fun i => w.offset i.succ ∈ U)
65
+
66
+ def returnSteps (w : ClosedLine h ℓ) : Finset (Fin ℓ) := univ \ w.treeSteps
67
+
68
+ lemma incomingCharges_image (w : ClosedLine h ℓ) (U : Finset ℤ)
69
+ (hU : U ⊆ goodOrigins w) :
70
+ (incomingCharges w U).image (fun i => w.offset i.succ) = U := by
71
+ ext v
72
+ constructor
73
+ · rintro hv
74
+ obtain ⟨i,hi,rfl⟩ := mem_image.mp hv
75
+ exact (mem_filter.mp hi).2
76
+ · intro hv
77
+ have hd := good_origin_data w (hU hv)
78
+ obtain ⟨i,hi,hiv⟩ := has_incoming_edge w v hd.1 hd.2.1
79
+ exact mem_image.mpr ⟨i,mem_filter.mpr ⟨hi,by rwa [hiv]⟩,hiv⟩
80
+
81
+ lemma incomingCharges_card (w : ClosedLine h ℓ) (U : Finset ℤ)
82
+ (hU : U ⊆ goodOrigins w) : (incomingCharges w U).card = U.card := by
83
+ calc
84
+ _ = ((incomingCharges w U).image (fun i => w.offset i.succ)).card :=
85
+ (card_image_iff.mpr ((tree_destination_injective w).mono (filter_subset _ _))).symm
86
+ _ = U.card := congrArg Finset.card (incomingCharges_image w U hU)
87
+
88
+ lemma incoming_return_disjoint (w : ClosedLine h ℓ) (U : Finset ℤ) :
89
+ Disjoint (incomingCharges w U) (returnSteps w) := by
90
+ apply disjoint_left.mpr
91
+ intro i hi hr
92
+ exact (mem_sdiff.mp hr).2 (mem_filter.mp hi).1
93
+
94
+ theorem source_cutoff_charges {S : PrimeSystem} (w : ClosedLine h ℓ) {T : ℝ}
95
+ (cut : S.Cutoffs T) (x : S.CoreResidues) (U : Finset ℤ)
96
+ (hU : U ⊆ goodOrigins w) :
97
+ S.cutoffProduct w cut x ≤
98
+ Real.exp (-kappa * (S.harmonicCore - T * Real.sqrt S.harmonicCore) *
99
+ (((returnSteps w).card : ℝ) + U.card)) *
100
+ Real.exp (kappa *
101
+ ((∑ i ∈ returnSteps w, (S.cutoffCount (w.label i)
102
+ (S.shiftCore x (w.offset i.castSucc)) : ℝ)) +
103
+ ∑ i ∈ incomingCharges w U, (S.cutoffCount (w.label i)
104
+ (S.shiftCore x (w.offset i.succ)) : ℝ))) := by
105
+ simpa only [incomingCharges_card w U hU] using
106
+ cutoffProduct_le_charges w cut x (returnSteps w) (incomingCharges w U)
107
+
108
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
109
+
110
+ end
111
+
112
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeEdge.lean ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Directed
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.NumericalSubtrees
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open Finset Classical SimpleGraph
16
+ noncomputable section
17
+ variable {h ℓ : ℕ}
18
+
19
+ def treeEdge (w : ClosedLine h ℓ) (e : Fin ℓ) : Sym2 ℤ :=
20
+ s(w.offset e.castSucc,w.offset e.succ)
21
+
22
+ lemma grows_full_tree (w : ClosedLine h ℓ) : Grows w 0 w.treeSteps := by
23
+ refine ⟨Subset.rfl,?_⟩
24
+ intro e he
25
+ by_cases hz : w.offset e.castSucc=0
26
+ · exact Or.inl hz
27
+ · obtain ⟨j,hj,hjv⟩ := has_incoming_edge w (w.offset e.castSucc) (departure_mem_vertices w e) hz
28
+ exact Or.inr ⟨j,hj,incoming_earlier w hj hjv,hjv⟩
29
+
30
+ lemma reached_full_tree (w : ClosedLine h ℓ) : reached w 0 w.treeSteps=treeVertices w := by
31
+ apply Finset.ext
32
+ intro v
33
+ constructor
34
+ · intro hv
35
+ rcases mem_insert.mp hv with rfl | hv
36
+ · exact mem_image.mpr ⟨0,mem_univ _,w.start_zero⟩
37
+ · obtain ⟨e,he,rfl⟩ := mem_image.mp hv
38
+ exact endpoint_mem_vertices w e
39
+ · intro hv
40
+ by_cases hz : v=0
41
+ · rw [hz]; exact mem_insert_self _ _
42
+ · obtain ⟨e,he,hev⟩ := has_incoming_edge w v hv hz
43
+ exact mem_insert_of_mem (mem_image.mpr ⟨e,he,hev⟩)
44
+
45
+ theorem grown_tour (w : ClosedLine h ℓ) (hh : 0<h) (v : ℤ) (E : Finset (Fin ℓ))
46
+ (hg : Grows w v E) :
47
+ ∃ p : (edgeGraph w hh w.treeSteps).Walk v v,
48
+ p.length=2*E.card ∧ (∀ z ∈ reached w v E,z ∈ p.support) ∧
49
+ ∀ q : Sym2 ℤ,p.edges.count q=2*(E.filter (fun e => treeEdge w e=q)).card := by
50
+ suffices aux : ∀ n,∀ E : Finset (Fin ℓ),E.card=n → Grows w v E →
51
+ ∃ p : (edgeGraph w hh w.treeSteps).Walk v v,
52
+ p.length=2*E.card ∧ (∀ z ∈ reached w v E,z ∈ p.support) ∧
53
+ ∀ q : Sym2 ℤ,p.edges.count q=2*(E.filter (fun e => treeEdge w e=q)).card by
54
+ exact aux _ E rfl hg
55
+ intro n
56
+ induction n using Nat.strong_induction_on with
57
+ | h n ih =>
58
+ intro E hcard hg
59
+ by_cases hne : E.Nonempty
60
+ · let e := E.max' hne
61
+ have he : e ∈ E := max'_mem E hne
62
+ let F := E.erase e
63
+ have hF : F ⊆ E := erase_subset _ _
64
+ have heF : e ∉ F := notMem_erase _ _
65
+ have hinsert : insert e F=E := insert_erase he
66
+ have hFgrow : Grows w v F := by
67
+ refine ⟨hF.trans hg.1,?_⟩
68
+ intro f hf
69
+ rcases hg.2 f (hF hf) with hr | ⟨j,hj,hjf,hjv⟩
70
+ · exact Or.inl hr
71
+ · refine Or.inr ⟨j,mem_erase.mpr ⟨?_,hj⟩,hjf,hjv⟩
72
+ intro hje
73
+ subst j
74
+ exact (not_lt_of_ge (le_max' E f (hF hf))) hjf
75
+ have hlt : F.card<n := by rw [←hcard]; exact card_erase_lt_of_mem he
76
+ obtain ⟨p,hplen,hcover,hcount⟩ := ih F.card hlt F rfl hFgrow
77
+ have hsource : w.offset e.castSucc ∈ reached w v F := by
78
+ rcases hg.2 e he with hr | ⟨j,hj,hje,hjv⟩
79
+ · rw [hr]; exact mem_insert_self _ _
80
+ · exact mem_insert_of_mem (mem_image.mpr ⟨j,mem_erase.mpr ⟨ne_of_lt hje,hj⟩,hjv⟩)
81
+ obtain ⟨p₁,p₂,hp⟩ := SimpleGraph.Walk.mem_support_iff_exists_append.mp
82
+ (hcover _ hsource)
83
+ let ha := edgeGraph_adj w hh w.treeSteps e (hg.1 he)
84
+ let loop : (edgeGraph w hh w.treeSteps).Walk (w.offset e.castSucc) (w.offset e.castSucc) :=
85
+ .cons ha (.cons ha.symm .nil)
86
+ let q := p₁.append (loop.append p₂)
87
+ refine ⟨q,?_,?_,?_⟩
88
+ · have hcard' : E.card=F.card+1 := by rw [←hinsert,card_insert_of_notMem heF]
89
+ rw [hp,SimpleGraph.Walk.length_append] at hplen
90
+ simp only [q,loop,SimpleGraph.Walk.length_append,SimpleGraph.Walk.length_cons,
91
+ SimpleGraph.Walk.length_nil]
92
+ omega
93
+ · intro z hz
94
+ rcases mem_insert.mp hz with hroot | hz
95
+ · subst z; exact q.start_mem_support
96
+ · obtain ⟨f,hf,rfl⟩ := mem_image.mp hz
97
+ by_cases hfe : f=e
98
+ · subst f
99
+ exact (SimpleGraph.Walk.mem_support_append_iff p₁ (loop.append p₂)).mpr
100
+ (Or.inr ((SimpleGraph.Walk.mem_support_append_iff loop p₂).mpr
101
+ (Or.inl (by simp [loop]))))
102
+ · have hmem := hcover (w.offset f.succ) (mem_insert_of_mem (mem_image.mpr ⟨f,mem_erase.mpr ⟨hfe,hf⟩,rfl⟩))
103
+ rw [hp,SimpleGraph.Walk.mem_support_append_iff] at hmem
104
+ exact (SimpleGraph.Walk.mem_support_append_iff p₁ (loop.append p₂)).mpr
105
+ (hmem.imp_right (fun hh => (SimpleGraph.Walk.mem_support_append_iff loop p₂).mpr (Or.inr hh)))
106
+ · intro s
107
+ have hc := hcount s
108
+ rw [hp,SimpleGraph.Walk.edges_append,List.count_append] at hc
109
+ have hsame : s(w.offset e.castSucc,w.offset e.succ)=treeEdge w e := rfl
110
+ have hsym : s(w.offset e.succ,w.offset e.castSucc)=treeEdge w e := Sym2.eq_swap
111
+ have hef : e ∉ F.filter (fun e => treeEdge w e=s) := fun he => heF (mem_filter.mp he).1
112
+ have heqcard : (E.filter (fun e => treeEdge w e=s)).card =
113
+ (F.filter (fun e => treeEdge w e=s)).card + if treeEdge w e=s then 1 else 0 := by
114
+ rw [←hinsert,filter_insert]
115
+ split_ifs <;> simp [hef]
116
+ rw [heqcard]
117
+ simp only [q,loop,SimpleGraph.Walk.edges_append,SimpleGraph.Walk.edges_cons,
118
+ SimpleGraph.Walk.edges_nil,List.count_append,hsame,hsym]
119
+ by_cases hes : treeEdge w e=s
120
+ · subst s
121
+ simp only [List.count_cons_self,List.count_nil,ite_true]
122
+ omega
123
+ · have hse : s≠treeEdge w e := Ne.symm hes
124
+ simp only [List.count_cons_of_ne hes,List.count_nil,hes,ite_false]
125
+ omega
126
+ · have hE : E=∅ := not_nonempty_iff_eq_empty.mp hne
127
+ subst E
128
+ refine ⟨.nil,by simp,?_,by simp⟩
129
+ intro z hz
130
+ simpa [reached] using hz
131
+
132
+ end
133
+ end OrdinaryCorrelations.NumericalSubtrees
134
+
135
+ end
136
+
137
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeEdgeInjective.lean ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TreeEdge
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Append
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.NumericalSubtrees
15
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
16
+ open OrdinaryCorrelations.ForestTraversal Finset Classical SimpleGraph
17
+ noncomputable section
18
+ variable {h ℓ : ℕ}
19
+
20
+ lemma treeEdge_injective (w : ClosedLine h ℓ) : Set.InjOn (treeEdge w) w.treeSteps := by
21
+ intro e he f hf hef
22
+ rcases Sym2.eq_iff.mp hef with hd | hs
23
+ · exact tree_destination_injective w he hf hd.2
24
+ · have hfe := incoming_earlier w hf hs.1.symm
25
+ have hef := incoming_earlier w he hs.2
26
+ exact (lt_asymm hfe hef).elim
27
+
28
+ lemma treeEdge_mem_edgeSet_iff (w : ClosedLine h ℓ) (hh : 0<h)
29
+ {e : Fin ℓ} (he : e ∈ w.treeSteps) {E : Finset (Fin ℓ)} (hE : E ⊆ w.treeSteps) :
30
+ treeEdge w e ∈ (edgeGraph w hh E).edgeSet ↔ e ∈ E := by
31
+ constructor
32
+ · rintro ⟨f,hf,hor | hrev⟩
33
+ · have hef : treeEdge w e=treeEdge w f := by dsimp only at hor; unfold treeEdge; rw [hor.1,hor.2]
34
+ exact treeEdge_injective w he (hE hf) hef ▸ hf
35
+ · have hef : treeEdge w e=treeEdge w f := by dsimp only at hrev; unfold treeEdge; rw [hrev.1,hrev.2]; exact Sym2.eq_swap
36
+ exact treeEdge_injective w he (hE hf) hef ▸ hf
37
+ · intro heE
38
+ exact edgeGraph_adj w hh E e heE
39
+
40
+ lemma tour_cutCount (w : ClosedLine h ℓ) (hh : 0<h) (H : Finset (Fin ℓ))
41
+ (p : (edgeGraph w hh w.treeSteps).Walk 0 0)
42
+ (hc : ∀ q : Sym2 ℤ,p.edges.count q=2*(w.treeSteps.filter (fun e => treeEdge w e=q)).card) :
43
+ cutCount (edgeGraph w hh (w.treeSteps \ H)) p ≤ 2*H.card := by
44
+ let F := p.edges.toFinset.filter (fun q => q ∉ (edgeGraph w hh (w.treeSteps \ H)).edgeSet)
45
+ have hF : F ⊆ H.image (treeEdge w) := by
46
+ intro q hq
47
+ obtain ⟨hql,hqn⟩ := mem_filter.mp hq
48
+ have ht := p.edges_subset_edgeSet (List.mem_toFinset.mp hql)
49
+ induction q using Sym2.ind with | _ u v =>
50
+ obtain ⟨e,he,hor | hrev⟩ := ht
51
+ · have hqe : s(u,v)=treeEdge w e := by dsimp only at hor; unfold treeEdge; rw [hor.1,hor.2]
52
+ refine mem_image.mpr ⟨e,?_,hqe.symm⟩
53
+ by_contra hn
54
+ exact hqn (hqe.symm ▸ (treeEdge_mem_edgeSet_iff w hh he sdiff_subset).mpr (mem_sdiff.mpr ⟨he,hn⟩))
55
+ · have hqe : s(u,v)=treeEdge w e := by dsimp only at hrev; unfold treeEdge; rw [hrev.1,hrev.2]; exact Sym2.eq_swap
56
+ refine mem_image.mpr ⟨e,?_,hqe.symm⟩
57
+ by_contra hn
58
+ exact hqn (hqe.symm ▸ (treeEdge_mem_edgeSet_iff w hh he sdiff_subset).mpr (mem_sdiff.mpr ⟨he,hn⟩))
59
+ have hcount (q : Sym2 ℤ) : p.edges.count q ≤ 2 := by
60
+ rw [hc]
61
+ have hf : (w.treeSteps.filter (fun e => treeEdge w e=q)).card ≤ 1 := by
62
+ apply card_le_one.mpr
63
+ intro e he f hf
64
+ exact treeEdge_injective w (mem_filter.mp he).1 (mem_filter.mp hf).1
65
+ ((mem_filter.mp he).2.trans (mem_filter.mp hf).2.symm)
66
+ omega
67
+ calc
68
+ cutCount (edgeGraph w hh (w.treeSteps \ H)) p = ∑ q ∈ F,p.edges.count q :=
69
+ (sum_filter_count_eq_countP _ _).symm
70
+ _ ≤ ∑ _q ∈ F,2 := sum_le_sum (fun q _ => hcount q)
71
+ _ = 2*F.card := by simp [Nat.mul_comm]
72
+ _ ≤ 2*H.card := Nat.mul_le_mul_left 2 ((card_le_card hF).trans card_image_le)
73
+
74
+ theorem tree_blocks (w : ClosedLine h ℓ) (hh : 0<h) (H : Finset (Fin ℓ))
75
+ (L : ℕ) (hL : 0<L) :
76
+ ∃ bs : List (Block (edgeGraph w hh (w.treeSteps \ H))),
77
+ bs.length ≤ (2*ℓ)/L+2*H.card+1 ∧
78
+ (∀ b ∈ bs,b.walk.length ≤ L) ∧
79
+ (∀ z ∈ treeVertices w,∃ b ∈ bs,z ∈ b.walk.support) := by
80
+ obtain ⟨p,hplen,hcover,hcount⟩ := grown_tour w hh 0 w.treeSteps (grows_full_tree w)
81
+ obtain ⟨bs,hbs,hbl,hbc⟩ := chunk_cut_cover (edgeGraph w hh (w.treeSteps \ H)) L hL p
82
+ refine ⟨bs,?_,hbl,?_⟩
83
+ · have hcut := tour_cutCount w hh H p hcount
84
+ have hcard : w.treeSteps.card ≤ ℓ := by simpa using card_le_univ w.treeSteps
85
+ have hlen : p.length ≤ 2*ℓ := by rw [hplen]; omega
86
+ exact hbs.trans (Nat.add_le_add_right (Nat.add_le_add (Nat.div_le_div_right hlen) hcut) 1)
87
+ · intro z hz
88
+ exact hbc.1 z (hcover z (reached_full_tree w ▸ hz))
89
+
90
+ end
91
+ end OrdinaryCorrelations.NumericalSubtrees
92
+
93
+ end
94
+
95
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeOccurrences.lean ADDED
@@ -0,0 +1,232 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PrimeChargeProduct
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+
10
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
11
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
12
+ open Finset Classical
13
+ variable {S : PrimeSystem} {h ℓ : ℕ}
14
+
15
+ def treeOccurrences (w : ClosedLine h ℓ) (p : S.Index) : Finset (Fin ℓ) :=
16
+ w.treeSteps.filter (fun i => (p : ℕ) ∣ w.label i)
17
+
18
+ def litEdges (w : ClosedLine h ℓ) (p : S.Index) (a : ZMod (p : ℕ)) : Finset (Fin ℓ) :=
19
+ (treeOccurrences w p).filter (fun i => a + (w.offset i.castSucc : ZMod (p : ℕ)) = 0)
20
+
21
+ def edgeVertices (w : ClosedLine h ℓ) (E : Finset (Fin ℓ)) : Finset ℤ :=
22
+ E.image (fun i => w.offset i.castSucc) ∪ E.image (fun i => w.offset i.succ)
23
+
24
+ lemma edgeVertices_subset (w : ClosedLine h ℓ) (E : Finset (Fin ℓ)) :
25
+ edgeVertices w E ⊆ treeVertices w := by
26
+ intro v hv
27
+ rcases mem_union.mp hv with hv | hv
28
+ · obtain ⟨i,hi,rfl⟩ := mem_image.mp hv
29
+ exact departure_mem_vertices w i
30
+ · obtain ⟨i,hi,rfl⟩ := mem_image.mp hv
31
+ exact endpoint_mem_vertices w i
32
+
33
+ lemma lit_vertex_active (w : ClosedLine h ℓ) (p : S.Index) (a : ZMod (p : ℕ))
34
+ {v : ℤ} (hv : v ∈ edgeVertices w (litEdges w p a)) : a + (v : ZMod (p : ℕ)) = 0 := by
35
+ rcases mem_union.mp hv with hv | hv
36
+ · obtain ⟨i,hi,rfl⟩ := mem_image.mp hv
37
+ exact (mem_filter.mp hi).2
38
+ · obtain ⟨i,hi,rfl⟩ := mem_image.mp hv
39
+ rw [w.label_residue_eq i (mem_filter.mp (mem_filter.mp hi).1).2]
40
+ exact (mem_filter.mp hi).2
41
+
42
+ def NoComponentTop (w : ClosedLine h ℓ) (U : Finset ℤ) (p : S.Index)
43
+ (E : Finset (Fin ℓ)) : Prop :=
44
+ S.IsCore p → ∀ i ∈ incomingCharges w U,
45
+ w.offset i.succ ∈ edgeVertices w E → (p : ℕ) ∣ w.label i
46
+
47
+ def isolatedCharge (w : ClosedLine h ℓ) (U : Finset ℤ) (p : S.Index)
48
+ (E : Finset (Fin ℓ)) (a : ZMod (p : ℕ)) (v : ℤ) : ℝ :=
49
+ if S.IsCore p ∧ v ∈ U ∧ a + (v : ZMod (p : ℕ)) = 0 ∧ v ∉ edgeVertices w E
50
+ then Real.exp kappa else 1
51
+
52
+ lemma isolatedCharge_nonneg (w : ClosedLine h ℓ) (U : Finset ℤ) (p : S.Index)
53
+ (E : Finset (Fin ℓ)) (a : ZMod (p : ℕ)) (v : ℤ) :
54
+ 0 ≤ isolatedCharge w U p E a v := by
55
+ unfold isolatedCharge; split_ifs <;> positivity
56
+
57
+ lemma incoming_charge_le_isolated (w : ClosedLine h ℓ) (U : Finset ℤ) (p : S.Index)
58
+ (E : Finset (Fin ℓ)) (htop : NoComponentTop w U p E)
59
+ (a : ZMod (p : ℕ)) (i : Fin ℓ) (hi : i ∈ incomingCharges w U) :
60
+ S.primeCharge p (w.label i) (w.offset i.succ) a ≤
61
+ isolatedCharge w U p E a (w.offset i.succ) := by
62
+ have hiU := (mem_filter.mp hi).2
63
+ by_cases hc : S.IsCore p
64
+ · by_cases he : w.offset i.succ ∈ edgeVertices w E
65
+ · have hd := htop hc i hi he
66
+ simp [primeCharge, isolatedCharge, hc, hd, he]
67
+ · by_cases ha : a + (w.offset i.succ : ZMod (p : ℕ)) = 0
68
+ · simp only [isolatedCharge, hc, hiU, ha, he, not_false_eq_true, and_self, ite_true]
69
+ unfold primeCharge
70
+ split_ifs
71
+ · exact le_rfl
72
+ · exact Real.one_le_exp (by unfold kappa eta epsilon; positivity)
73
+ · simp [primeCharge, isolatedCharge, ha]
74
+ · simp [primeCharge, isolatedCharge, hc]
75
+
76
+ lemma incoming_charges_le_vertices (w : ClosedLine h ℓ) (U : Finset ℤ)
77
+ (hU : U ⊆ goodOrigins w) (p : S.Index) (E : Finset (Fin ℓ))
78
+ (htop : NoComponentTop w U p E) (a : ZMod (p : ℕ)) :
79
+ (∏ i ∈ incomingCharges w U, S.primeCharge p (w.label i) (w.offset i.succ) a) ≤
80
+ ∏ v ∈ treeVertices w, isolatedCharge w U p E a v := by
81
+ calc
82
+ _ ≤ ∏ i ∈ incomingCharges w U, isolatedCharge w U p E a (w.offset i.succ) :=
83
+ prod_le_prod₀ (fun _ _ => primeCharge_nonneg _ _ _ _)
84
+ (fun i hi => incoming_charge_le_isolated w U p E htop a i hi)
85
+ _ = ∏ v ∈ U, isolatedCharge w U p E a v := by
86
+ calc
87
+ _ = ∏ v ∈ (incomingCharges w U).image (fun i => w.offset i.succ),
88
+ isolatedCharge w U p E a v := by
89
+ symm
90
+ apply prod_image
91
+ intro i hi j hj hij
92
+ exact tree_destination_injective w (mem_filter.mp hi).1 (mem_filter.mp hj).1 hij
93
+ _ = _ := congrArg (fun V => ∏ v ∈ V, isolatedCharge w U p E a v)
94
+ (incomingCharges_image w U hU)
95
+ _ = ∏ v ∈ treeVertices w, isolatedCharge w U p E a v := by
96
+ apply prod_subset (fun v hv => (good_origin_data w (hU hv)).1)
97
+ intro v hv hn
98
+ simp [isolatedCharge, hn]
99
+
100
+ def subtreeUnionWeight (w : ClosedLine h ℓ) (p : S.Index) (E : Finset (Fin ℓ)) : ℝ :=
101
+ S.amplitude p ^ E.card * ∏ v ∈ edgeVertices w E, S.beta p ^ w.children v
102
+
103
+ lemma tree_norm_charges_le (w : ClosedLine h ℓ) (U : Finset ℤ)
104
+ (hU : U ⊆ goodOrigins w) (p : S.Index) (a : ZMod (p : ℕ))
105
+ (htop : NoComponentTop w U p (litEdges w p a)) :
106
+ (∏ i ∈ w.treeSteps, S.beta p ^
107
+ (if a + (w.offset i.castSucc : ZMod (p : ℕ)) = 0 then (1 : ℕ) else 0)) *
108
+ (∏ i ∈ incomingCharges w U, S.primeCharge p (w.label i) (w.offset i.succ) a) ≤
109
+ ∏ v ∈ edgeVertices w (litEdges w p a), S.beta p ^ w.children v := by
110
+ let E := litEdges w p a
111
+ have hn : ∀ v : ℤ, (0 : ℝ) ≤ (if a + (v : ZMod (p : ℕ)) = 0 then
112
+ S.beta p ^ w.children v else 1) := by
113
+ intro v
114
+ have hb := beta_nonneg p
115
+ split_ifs <;> positivity
116
+ rw [tree_normalization]
117
+ calc
118
+ _ ≤ (∏ v ∈ treeVertices w, if a + (v : ZMod (p : ℕ)) = 0 then
119
+ S.beta p ^ w.children v else 1) *
120
+ ∏ v ∈ treeVertices w, isolatedCharge w U p E a v :=
121
+ mul_le_mul_of_nonneg_left (incoming_charges_le_vertices w U hU p E htop a)
122
+ (prod_nonneg (fun v _ => hn v))
123
+ _ = ∏ v ∈ treeVertices w, (if a + (v : ZMod (p : ℕ)) = 0 then
124
+ S.beta p ^ w.children v else 1) * isolatedCharge w U p E a v := by
125
+ rw [prod_mul_distrib]
126
+ _ ≤ ∏ v ∈ treeVertices w, if v ∈ edgeVertices w E then S.beta p ^ w.children v else 1 := by
127
+ apply Finset.prod_le_prod₀
128
+ · intro v hv
129
+ exact mul_nonneg (hn v) (isolatedCharge_nonneg w U p E a v)
130
+ · intro v hv
131
+ by_cases he : v ∈ edgeVertices w E
132
+ · rw [ite_eq_left he, ite_eq_left (lit_vertex_active w p a he)]
133
+ simp [isolatedCharge, he]
134
+ · rw [ite_eq_right he]
135
+ by_cases ha : a + (v : ZMod (p : ℕ)) = 0
136
+ · rw [ite_eq_left ha]
137
+ by_cases hu : S.IsCore p ∧ v ∈ U
138
+ · have hv1 := (good_origin_data w (hU hu.2)).2.2.1
139
+ simp only [isolatedCharge, hu.1, hu.2, ha, he, not_false_eq_true, and_self,
140
+ ite_true, hv1, pow_one, beta_eq_core p hu.1]
141
+ exact betaC_mul_exp_le_one
142
+ · have hc : ¬(S.IsCore p ∧ v ∈ U ∧ a + (v : ZMod (p : ℕ)) = 0 ∧ v ∉ edgeVertices w E) :=
143
+ fun hh => hu ⟨hh.1,hh.2.1⟩
144
+ rw [isolatedCharge, ite_eq_right hc, mul_one]
145
+ exact pow_le_one₀ (beta_nonneg p) (beta_le_one p)
146
+ · simp [isolatedCharge, ha]
147
+ _ = ∏ v ∈ edgeVertices w E, S.beta p ^ w.children v := by
148
+ rw [← prod_filter]
149
+ congr 1
150
+ rw [filter_mem_eq_inter, inter_eq_right.mpr (edgeVertices_subset w E)]
151
+
152
+ lemma charged_prime_le_tree (w : ClosedLine h ℓ) (U : Finset ℤ)
153
+ (p : S.Index) (a : ZMod (p : ℕ)) :
154
+ |S.primeFactor w p a| * allPrimeCharges w U p a ≤
155
+ (∏ i ∈ w.treeSteps, |S.occurrenceFactor w p i a|) *
156
+ ((∏ i ∈ w.treeSteps, S.beta p ^
157
+ (if a + (w.offset i.castSucc : ZMod (p : ℕ)) = 0 then (1 : ℕ) else 0)) *
158
+ ∏ i ∈ incomingCharges w U, S.primeCharge p (w.label i) (w.offset i.succ) a) := by
159
+ have hret : |∏ i ∈ returnSteps w, S.stepFactor w p i a| *
160
+ (∏ i ∈ returnSteps w, S.primeCharge p (w.label i) (w.offset i.castSucc) a) ≤ 1 := by
161
+ rw [abs_prod, ← prod_mul_distrib]
162
+ exact prod_le_one₀ (fun i _ => mul_nonneg (abs_nonneg _) (primeCharge_nonneg _ _ _ _))
163
+ (fun i _ => charged_return_le_one w p i a)
164
+ have hi0 : 0 ≤ ∏ i ∈ incomingCharges w U,
165
+ S.primeCharge p (w.label i) (w.offset i.succ) a :=
166
+ prod_nonneg (fun i _ => primeCharge_nonneg _ _ _ _)
167
+ rw [primeFactor_split_steps, abs_mul, allPrimeCharges]
168
+ calc
169
+ _ = (|∏ i ∈ w.treeSteps, S.stepFactor w p i a| *
170
+ ∏ i ∈ incomingCharges w U, S.primeCharge p (w.label i) (w.offset i.succ) a) *
171
+ (|∏ i ∈ returnSteps w, S.stepFactor w p i a| *
172
+ ∏ i ∈ returnSteps w, S.primeCharge p (w.label i) (w.offset i.castSucc) a) := by
173
+ unfold returnSteps
174
+ ring
175
+ _ ≤ (|∏ i ∈ w.treeSteps, S.stepFactor w p i a| *
176
+ ∏ i ∈ incomingCharges w U, S.primeCharge p (w.label i) (w.offset i.succ) a) * 1 :=
177
+ mul_le_mul_of_nonneg_left hret (mul_nonneg (abs_nonneg _) hi0)
178
+ _ = _ := by
179
+ simp only [mul_one, abs_prod, stepFactor, abs_mul,
180
+ abs_of_nonneg (pow_nonneg (beta_nonneg p) _), prod_mul_distrib]
181
+ ring
182
+
183
+ lemma occurrence_abs_le_lit_amplitude (w : ClosedLine h ℓ) (p : S.Index)
184
+ (a : ZMod (p : ℕ)) (i : Fin ℓ) (hi : i ∈ w.treeSteps) :
185
+ |S.occurrenceFactor w p i a| ≤
186
+ if i ∈ litEdges w p a then S.amplitude p else 1 := by
187
+ have ht := theta_div_bounds p
188
+ by_cases hd : (p : ℕ) ∣ w.label i <;>
189
+ by_cases ha : a + (w.offset i.castSucc : ZMod (p : ℕ)) = 0 <;>
190
+ by_cases hc : S.IsCore p
191
+ all_goals simp only [occurrenceFactor, activity, hd, ha, hc, ite_true, ite_false,
192
+ amplitude, litEdges, treeOccurrences, mem_filter, hi, and_true,
193
+ and_false, mul_zero, mul_one, abs_zero, zero_sub, abs_neg]
194
+ · exact le_of_eq (abs_of_pos A_pos)
195
+ · rw [abs_of_nonneg (sub_nonneg.mpr ht.2)]; linarith [ht.1]
196
+ · norm_num
197
+ · exact (abs_of_nonneg ht.1).le.trans ht.2
198
+ all_goals norm_num
199
+
200
+ lemma occurrence_product_le (w : ClosedLine h ℓ) (p : S.Index) (a : ZMod (p : ℕ)) :
201
+ (∏ i ∈ w.treeSteps, |S.occurrenceFactor w p i a|) ≤
202
+ S.amplitude p ^ (litEdges w p a).card := by
203
+ calc
204
+ _ ≤ ∏ i ∈ w.treeSteps, if i ∈ litEdges w p a then S.amplitude p else 1 :=
205
+ prod_le_prod₀ (fun _ _ => abs_nonneg _) (fun i hi => occurrence_abs_le_lit_amplitude w p a i hi)
206
+ _ = _ := by
207
+ rw [prod_ite_mem, inter_eq_right.mpr]
208
+ · simp only [prod_const]
209
+ · exact (filter_subset _ _).trans (filter_subset _ _)
210
+
211
+ theorem charged_prime_le_weight (w : ClosedLine h ℓ) (U : Finset ℤ)
212
+ (hU : U ⊆ goodOrigins w) (p : S.Index) (a : ZMod (p : ℕ))
213
+ (htop : NoComponentTop w U p (litEdges w p a)) :
214
+ |S.primeFactor w p a| * allPrimeCharges w U p a ≤
215
+ subtreeUnionWeight w p (litEdges w p a) := by
216
+ apply (charged_prime_le_tree w U p a).trans
217
+ unfold subtreeUnionWeight
218
+ apply mul_le_mul (occurrence_product_le w p a) (tree_norm_charges_le w U hU p a htop)
219
+ · exact mul_nonneg (prod_nonneg (fun _ _ => pow_nonneg (beta_nonneg p) _))
220
+ (prod_nonneg (fun _ _ => primeCharge_nonneg _ _ _ _))
221
+ · have hp : 0 ≤ S.amplitude p := by
222
+ unfold amplitude
223
+ split_ifs
224
+ · exact A_pos.le
225
+ · exact zero_le_one
226
+ exact pow_nonneg hp _
227
+
228
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
229
+
230
+ end
231
+
232
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeOccurrencesEmptyOfFree.lean ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.FixedCharges
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.RecordedTops
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SingleEdgeWeight
4
+
5
+ namespace OAI
6
+
7
+ noncomputable section
8
+ open scoped BigOperators
9
+ open Finset
10
+ open Finset Classical
11
+
12
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
13
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
14
+ open Finset Classical
15
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
16
+
17
+ lemma treeOccurrences_empty_of_free_core (w : ClosedLine h ℓ) (p : S.FreeCoreIndex w) :
18
+ treeOccurrences w p.val.val = ∅ := by
19
+ apply eq_empty_iff_forall_notMem.mpr
20
+ intro i hi
21
+ exact p.val.property ⟨⟨i,(mem_filter.mp hi).2⟩, Or.inl p.property⟩
22
+
23
+ lemma treeOccurrences_singleton_of_free (w : ClosedLine h ℓ) (p : S.FreeIndex w)
24
+ (e : Fin ℓ) (he : e ∈ treeOccurrences w p.val) :
25
+ treeOccurrences w p.val = {e} := by
26
+ ext i
27
+ constructor
28
+ · intro hi
29
+ exact mem_singleton.mpr ((unique_occurrence_of_free w p.val p.property e
30
+ (mem_filter.mp he).2 i).mp (mem_filter.mp hi).2)
31
+ · intro hi
32
+ simpa only [mem_singleton.mp hi] using he
33
+
34
+ def freeTreeWeight (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) (p : S.Index) : ℝ :=
35
+ ∏ e ∈ treeOccurrences w p, singletonTokenWeight w 𝔏 p e
36
+
37
+ lemma freeTreeWeight_nonneg (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
38
+ (p : S.Index) : 0 ≤ freeTreeWeight w 𝔏 p :=
39
+ prod_nonneg (fun _ _ => singletonTokenWeight_nonneg w 𝔏 p _)
40
+
41
+ def primeBound (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) (U : Finset ℤ)
42
+ (E : S.Index → Finset (Fin ℓ)) (p : S.Index) : ℝ :=
43
+ if (treeOccurrences w p).Nonempty then
44
+ (if S.IsFixed w p then fixedTreeWeight w p (E p) else freeTreeWeight w 𝔏 p) / (p : ℝ)
45
+ else outsideTreeBound w 𝔏 U p
46
+
47
+ lemma primeBound_nonneg (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
48
+ (U : Finset ℤ) (E : S.Index → Finset (Fin ℓ)) (p : S.Index) :
49
+ 0 ≤ primeBound w 𝔏 U E p := by
50
+ unfold primeBound
51
+ split_ifs
52
+ · exact div_nonneg (fixedTreeWeight_nonneg w p _) (Nat.cast_nonneg _)
53
+ · exact div_nonneg (freeTreeWeight_nonneg w 𝔏 p) (Nat.cast_nonneg _)
54
+ · exact outsideTreeBound_nonneg w 𝔏 U p
55
+
56
+ lemma no_tree_of_not_nonempty (w : ClosedLine h ℓ) (p : S.Index)
57
+ (hn : ¬(treeOccurrences w p).Nonempty) :
58
+ ∀ i ∈ w.treeSteps, ¬(p : ℕ) ∣ w.label i := by
59
+ intro i hi hd
60
+ exact hn ⟨i, mem_filter.mpr ⟨hi,hd⟩⟩
61
+
62
+ lemma fixed_mean_le_primeBound (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
63
+ (U : Finset ℤ) (hU : U ⊆ goodOrigins w) (E : S.Index → Finset (Fin ℓ))
64
+ (p : S.FixedIndex w) (htop : NoComponentTop w U p.val (E p.val)) :
65
+ avg (recordPrime w 𝔏 U p.val (E p.val)) ≤ primeBound w 𝔏 U E p.val := by
66
+ by_cases ho : (treeOccurrences w p.val).Nonempty
67
+ · rw [primeBound, ite_eq_left ho, ite_eq_left p.property]
68
+ exact fixed_tree_mean w 𝔏 U hU p.val (E p.val) htop ho
69
+ · rw [primeBound, ite_eq_right ho]
70
+ exact (avg_mono (recordPrime_le_charged_local w 𝔏 U p.val (E p.val))).trans
71
+ (outside_tree_mean w 𝔏 U hU p.val (no_tree_of_not_nonempty w p.val ho))
72
+
73
+ lemma free_core_mean_le_primeBound (w : ClosedLine h ℓ)
74
+ (𝔏 : List (AttachedSpec w D L)) (U : Finset ℤ) (hU : U ⊆ goodOrigins w)
75
+ (E : S.Index → Finset (Fin ℓ)) (p : S.FreeCoreIndex w) :
76
+ avg (fun a => |localWithList w 𝔏 p.val.val a| * allPrimeCharges w U p.val.val a) ≤
77
+ primeBound w 𝔏 U E p.val.val := by
78
+ have ho : ¬(treeOccurrences w p.val.val).Nonempty := by
79
+ rw [treeOccurrences_empty_of_free_core w p]
80
+ exact not_nonempty_empty
81
+ rw [primeBound, ite_eq_right ho]
82
+ exact outside_tree_mean w 𝔏 U hU p.val.val (no_tree_of_not_nonempty w p.val.val ho)
83
+
84
+ lemma free_center_mean_le_primeBound (w : ClosedLine h ℓ) (hh : 0 < h)
85
+ (𝔏 : List (AttachedSpec w D L)) (U : Finset ℤ) (hU : U ⊆ goodOrigins w)
86
+ (E : S.Index → Finset (Fin ℓ)) (p : S.FreeCenterIndex w)
87
+ (hlarge : 2 * (ℓ+1) ≤ (p.val.val : ℕ)) :
88
+ |avg (localWithList w 𝔏 p.val.val)| ≤ primeBound w 𝔏 U E p.val.val := by
89
+ by_cases ho : (treeOccurrences w p.val.val).Nonempty
90
+ · rw [primeBound, ite_eq_left ho, ite_eq_right p.val.property]
91
+ obtain ⟨e,he⟩ := ho
92
+ rw [freeTreeWeight, treeOccurrences_singleton_of_free w p.val e he, prod_singleton]
93
+ exact free_center_tree_mean w hh 𝔏 p e (mem_filter.mp he).2 hlarge
94
+ · rw [primeBound, ite_eq_right ho]
95
+ have hc := outside_tree_mean w 𝔏 U hU p.val.val
96
+ (no_tree_of_not_nonempty w p.val.val ho)
97
+ simp only [allPrimeCharges_center w U p.val.val p.property, mul_one] at hc
98
+ exact (abs_avg_le _).trans hc
99
+
100
+ lemma product_index_split (w : ClosedLine h ℓ) (f : S.Index → ℝ) :
101
+ (∏ p : S.FixedIndex w, f p.val) *
102
+ ((∏ p : S.FreeCoreIndex w, f p.val.val) *
103
+ (∏ p : S.FreeCenterIndex w, f p.val.val)) = ∏ p : S.Index, f p := by
104
+ rw [Fintype.prod_subtype_mul_prod_subtype (fun p : S.FreeIndex w => S.IsCore p.val)
105
+ (fun p : S.FreeIndex w => f p.val)]
106
+ exact Fintype.prod_subtype_mul_prod_subtype (S.IsFixed w) f
107
+
108
+ theorem assignedKernelIntegral_le_all_prime_bounds (w : ClosedLine h ℓ) (hh : 0 < h)
109
+ {T : ℝ} (cut : S.Cutoffs T) (𝔏 : List (AttachedSpec w D L))
110
+ (E : S.Index → Finset (Fin ℓ)) (hE : ∀ p, E p ⊆ treeOccurrences w p)
111
+ (group : S.FixedResidues w → Prop)
112
+ (hgroup : ∀ a, group a → ∀ p : S.FixedIndex w, litEdges w p.val (a p) = E p.val)
113
+ (hlarge : ∀ p : S.Index, 2 * (ℓ+1) ≤ (p : ℕ)) :
114
+ assignedKernelIntegral w cut 𝔏 group ≤
115
+ chargeConstant (S := S) w T (recordU w E) *
116
+ ∏ p : S.Index, primeBound w 𝔏 (recordU w E) E p := by
117
+ let U := recordU w E
118
+ have hU := recordU_subset w E
119
+ have hh' := assignedKernelIntegral_le_prime_means w cut 𝔏 U hU group
120
+ (fun p => E p.val) hgroup
121
+ apply hh'.trans
122
+ calc
123
+ _ ≤ chargeConstant (S := S) w T U *
124
+ (∏ p : S.FreeCenterIndex w, primeBound w 𝔏 U E p.val.val) *
125
+ (∏ p : S.FixedIndex w, primeBound w 𝔏 U E p.val) *
126
+ ∏ p : S.FreeCoreIndex w, primeBound w 𝔏 U E p.val.val := by
127
+ have hZ := prod_le_prod₀ (s := univ) (fun (p : S.FreeCenterIndex w) _ => abs_nonneg
128
+ (avg (localWithList w 𝔏 p.val.val)))
129
+ (fun p _ => free_center_mean_le_primeBound w hh 𝔏 U hU E p (hlarge _))
130
+ have hF := prod_le_prod₀ (s := univ) (fun (p : S.FixedIndex w) _ =>
131
+ avg_nonneg (recordPrime_nonneg w 𝔏 U p.val (E p.val)))
132
+ (fun p _ => fixed_mean_le_primeBound w 𝔏 U hU E p
133
+ (recordU_noComponentTop w E hE _))
134
+ have hC := prod_le_prod₀ (s := univ) (fun (p : S.FreeCoreIndex w) _ => avg_nonneg (fun a =>
135
+ mul_nonneg (abs_nonneg _) (allPrimeCharges_nonneg w U p.val.val a)))
136
+ (fun p _ => free_core_mean_le_primeBound w 𝔏 U hU E p)
137
+ have hZF := mul_le_mul hZ hF
138
+ (prod_nonneg (fun p _ => avg_nonneg (recordPrime_nonneg w 𝔏 U p.val _)))
139
+ (prod_nonneg (fun p _ => primeBound_nonneg w 𝔏 U E p.val.val))
140
+ have hZFC := mul_le_mul hZF hC
141
+ (prod_nonneg (fun p _ => avg_nonneg (fun a =>
142
+ mul_nonneg (abs_nonneg _) (allPrimeCharges_nonneg w U p.val.val a))))
143
+ (mul_nonneg (prod_nonneg (fun p _ => primeBound_nonneg w 𝔏 U E p.val.val))
144
+ (prod_nonneg (fun p _ => primeBound_nonneg w 𝔏 U E p.val)))
145
+ simpa only [chargeConstant, mul_assoc] using mul_le_mul_of_nonneg_left hZFC
146
+ ((Real.exp_pos _).le : 0 ≤ chargeConstant (S := S) w T U)
147
+ _ = _ := by
148
+ rw [← product_index_split w]
149
+ ring
150
+
151
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
152
+
153
+ end
154
+
155
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreePrimeSupport.lean ADDED
@@ -0,0 +1,131 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.CardTreeVerticesLe
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PrimeFactorsCardLeLog
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+
11
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
12
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
13
+ open Finset Classical
14
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
15
+
16
+ def treePrimeSupport (w : ClosedLine h ℓ) : Finset ℕ :=
17
+ w.treeSteps.biUnion (fun i => (w.label i).primeFactors)
18
+
19
+ lemma treePrimeSupport_card_le (w : ClosedLine h ℓ) (hlabels : ∀ i, w.label i ∈ D.members) :
20
+ (treePrimeSupport w).card ≤ ℓ * ⌈C₀ * Real.log B⌉₊ := by
21
+ have hcard : w.treeSteps.card ≤ ℓ := by
22
+ exact (card_le_card (filter_subset _ _)).trans_eq (by simp)
23
+ exact (card_biUnion_le_card_mul w.treeSteps _ _
24
+ (fun i _ => D.omega _ (hlabels i))).trans (Nat.mul_le_mul_right _ hcard)
25
+
26
+ lemma Specification.primeSupport_card_le (s : S.Specification D h L) :
27
+ s.primeSupport.card ≤ L * ⌈C₀ * Real.log B⌉₊ + 1 := by
28
+ calc
29
+ _ ≤ (univ.biUnion (fun i : Fin s.length => (s.label i).primeFactors)).card + 1 :=
30
+ card_insert_le _ _
31
+ _ ≤ s.length * ⌈C₀ * Real.log B⌉₊ + 1 := by
32
+ gcongr
33
+ simpa only [card_univ, Fintype.card_fin] using card_biUnion_le_card_mul
34
+ (univ : Finset (Fin s.length)) (fun i => (s.label i).primeFactors) _
35
+ (fun i _ => D.omega _ (s.label_mem i))
36
+ _ ≤ _ := Nat.add_le_add_right (Nat.mul_le_mul_right _ s.length_le) _
37
+
38
+ lemma listSupport_card_le (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) :
39
+ (listSupport w 𝔏).card ≤ 𝔏.length * (L * ⌈C₀ * Real.log B⌉₊ + 1) := by
40
+ exact (card_biUnion_le_card_mul 𝔏.toFinset _ _
41
+ (fun s _ => s.spec.primeSupport_card_le)).trans
42
+ (Nat.mul_le_mul_right _ (List.toFinset_card_le _))
43
+
44
+ lemma usedPrime_mem_support (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
45
+ (p : S.Index) : UsedPrime w 𝔏 p ↔ (p : ℕ) ∈ treePrimeSupport w ∪ listSupport w 𝔏 := by
46
+ unfold UsedPrime
47
+ rw [mem_union]
48
+ refine or_congr ?_ Iff.rfl
49
+ unfold treePrimeSupport
50
+ constructor
51
+ · rintro ⟨e,he⟩
52
+ obtain ⟨het,hep⟩ := mem_filter.mp he
53
+ exact mem_biUnion.mpr ⟨e,het, Nat.mem_primeFactors.mpr
54
+ ⟨S.prime_mem p p.property,hep,(w.label_pos e).ne'⟩⟩
55
+ · intro hm
56
+ obtain ⟨e,he,hep⟩ := mem_biUnion.mp hm
57
+ exact ⟨e,mem_filter.mpr ⟨he,(Nat.mem_primeFactors.mp hep).2.1⟩⟩
58
+
59
+ def usedIndices (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) : Finset S.Index :=
60
+ univ.filter (UsedPrime w 𝔏)
61
+
62
+ def lineListSlots (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) : ℕ :=
63
+ ℓ * ⌈C₀ * Real.log B⌉₊ + 𝔏.length * (L * ⌈C₀ * Real.log B⌉₊ + 1)
64
+
65
+ lemma usedIndices_card_le (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
66
+ (hlabels : ∀ i, w.label i ∈ D.members) :
67
+ (usedIndices w 𝔏).card ≤ lineListSlots w 𝔏 := by
68
+ have hsub : (usedIndices w 𝔏).image Subtype.val ⊆ treePrimeSupport w ∪ listSupport w 𝔏 := by
69
+ intro p hp
70
+ obtain ⟨q,hq,hqp⟩ := mem_image.mp hp
71
+ rw [← hqp]
72
+ exact (usedPrime_mem_support w 𝔏 q).mp (mem_filter.mp hq).2
73
+ calc
74
+ _ = ((usedIndices w 𝔏).image Subtype.val).card :=
75
+ (card_image_of_injective _ Subtype.val_injective).symm
76
+ _ ≤ (treePrimeSupport w ∪ listSupport w 𝔏).card := card_le_card hsub
77
+ _ ≤ (treePrimeSupport w).card + (listSupport w 𝔏).card := card_union_le _ _
78
+ _ ≤ _ := Nat.add_le_add (treePrimeSupport_card_le w hlabels) (listSupport_card_le w 𝔏)
79
+
80
+ lemma restorationError_le_masses (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) :
81
+ restorationError w 𝔏 ≤ ((ℓ : ℝ)+1) *
82
+ ((∑ p ∈ usedIndices w 𝔏, (p : ℝ)⁻¹) +
83
+ ∑ p ∈ collisionIndices (S := S) w, (p : ℝ)⁻¹) := by
84
+ apply mul_le_mul_of_nonneg_left _ (by positivity)
85
+ rw [usedIndices, collisionIndices, sum_filter, sum_filter, ← sum_add_distrib]
86
+ apply sum_le_sum
87
+ intro p hp
88
+ unfold OmittedPrime
89
+ by_cases hu : UsedPrime w 𝔏 p <;> by_cases hc : IsCollision w p <;>
90
+ simp [hu,hc, inv_nonneg.mpr (show 0 ≤ (p : ℝ) from Nat.cast_nonneg _)]
91
+
92
+ lemma card_tree_offDiag_le (w : ClosedLine h ℓ) :
93
+ (treeVertices w).offDiag.card ≤ (ℓ+1)^2 := by
94
+ have hsub : (treeVertices w).offDiag ⊆ (treeVertices w) ×ˢ (treeVertices w) := by
95
+ intro vu hvu
96
+ obtain ⟨hv,hu,_⟩ := mem_offDiag.mp hvu
97
+ exact mem_product.mpr ⟨hv,hu⟩
98
+ calc
99
+ _ ≤ ((treeVertices w) ×ˢ (treeVertices w)).card := card_le_card hsub
100
+ _ = (treeVertices w).card * (treeVertices w).card := card_product _ _
101
+ _ ≤ (ℓ+1) * (ℓ+1) := Nat.mul_le_mul (card_treeVertices_le w) (card_treeVertices_le w)
102
+ _ = _ := (pow_two _).symm
103
+
104
+ theorem restorationError_le (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L))
105
+ (hlabels : ∀ i, w.label i ∈ D.members) (M P₀ : ℝ) (hM₀ : 0 ≤ M) (hP₀ : 0 < P₀)
106
+ (hp : ∀ p : S.Index, P₀ ≤ (p : ℝ))
107
+ (hM : ∀ v ∈ treeVertices w, ∀ u ∈ treeVertices w,
108
+ v ≠ u → ((u-v).natAbs : ℝ) ≤ Real.exp M) :
109
+ restorationError w 𝔏 ≤ ((ℓ : ℝ)+1) *
110
+ ((lineListSlots w 𝔏 : ℝ) + ((ℓ : ℝ)+1)^2 * (M / Real.log 2)) / P₀ := by
111
+ have huCard : ((usedIndices w 𝔏).card : ℝ) ≤ (lineListSlots w 𝔏 : ℝ) := by
112
+ exact_mod_cast usedIndices_card_le w 𝔏 hlabels
113
+ have hused := (sum_inv_le_card_div (usedIndices w 𝔏) P₀ hP₀ (fun p _ => hp p)).trans
114
+ (div_le_div_of_nonneg_right huCard hP₀.le)
115
+ have hcoll := collision_reciprocal_mass w M P₀ hP₀ hp hM
116
+ have hcoll' : (∑ p ∈ collisionIndices (S := S) w, (p : ℝ)⁻¹) ≤
117
+ ((ℓ : ℝ)+1)^2 * (M / Real.log 2) / P₀ := by
118
+ apply hcoll.trans
119
+ apply div_le_div_of_nonneg_right _ hP₀.le
120
+ exact mul_le_mul_of_nonneg_right (by exact_mod_cast card_tree_offDiag_le w)
121
+ (div_nonneg hM₀ (Real.log_nonneg (by norm_num)))
122
+ apply (restorationError_le_masses w 𝔏).trans
123
+ have hm := mul_le_mul_of_nonneg_left (add_le_add hused hcoll') (by positivity : 0 ≤ (ℓ : ℝ)+1)
124
+ convert hm using 1
125
+ ring
126
+
127
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
128
+
129
+ end
130
+
131
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TreeVertices.lean ADDED
@@ -0,0 +1,134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.KappaPos
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+
10
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
11
+ open OrdinaryCorrelations.FiniteIntegration OrdinaryCorrelations.SignedTrace
12
+ open Finset Classical
13
+ variable {S : PrimeSystem} {h ℓ : ℕ}
14
+
15
+ def treeVertices (w : ClosedLine h ℓ) : Finset ℤ := univ.image w.offset
16
+
17
+ lemma departure_mem_vertices (w : ClosedLine h ℓ) (i : Fin ℓ) :
18
+ w.offset i.castSucc ∈ treeVertices w := mem_image.mpr ⟨i.castSucc, mem_univ _, rfl⟩
19
+
20
+ lemma endpoint_mem_vertices (w : ClosedLine h ℓ) (i : Fin ℓ) :
21
+ w.offset i.succ ∈ treeVertices w := mem_image.mpr ⟨i.succ, mem_univ _, rfl⟩
22
+
23
+ lemma tree_normalization (w : ClosedLine h ℓ) (p : S.Index) (x : ZMod (p : ℕ)) :
24
+ (∏ i ∈ w.treeSteps, S.beta p ^
25
+ (if x + (w.offset i.castSucc : ZMod (p : ℕ)) = 0 then (1 : ℕ) else 0)) =
26
+ ∏ v ∈ treeVertices w, if x + (v : ZMod (p : ℕ)) = 0 then
27
+ S.beta p ^ w.children v else 1 := by
28
+ rw [← prod_fiberwise_of_maps_to (fun i (_ : i ∈ w.treeSteps) => departure_mem_vertices w i)]
29
+ apply prod_congr rfl
30
+ intro v hv
31
+ by_cases ha : x + (v : ZMod (p : ℕ)) = 0
32
+ · simp only [ha, ite_true, ClosedLine.children]
33
+ trans ∏ i ∈ w.treeSteps.filter (fun i => w.offset i.castSucc = v), S.beta p
34
+ · apply prod_congr rfl
35
+ intro i hi
36
+ rw [(mem_filter.mp hi).2, ite_eq_left ha, pow_one]
37
+ · rw [prod_const]
38
+ · rw [ite_eq_right ha]
39
+ apply prod_eq_one
40
+ intro i hi
41
+ rw [(mem_filter.mp hi).2, ite_eq_right ha, pow_zero]
42
+
43
+ lemma residue_product_mean {ι : Type*} {p : ℕ} [NeZero p]
44
+ (V : Finset ι) (r : ι → ZMod p) (g : ι → ℝ)
45
+ (hinj : Set.InjOn r V) :
46
+ avg (fun a : ZMod p => ∏ v ∈ V, if a = r v then g v else 1) =
47
+ 1 - (∑ v ∈ V, (1 - g v)) / p := by
48
+ have hpoint (a : ZMod p) :
49
+ (∏ v ∈ V, if a = r v then g v else 1) =
50
+ 1 + ∑ v ∈ V, if a = r v then g v - 1 else 0 := by
51
+ by_cases ha : ∃ v ∈ V, a = r v
52
+ · obtain ⟨v,hv,ha⟩ := ha
53
+ have hne (q : ι) (hq : q ∈ V) (hqv : q ≠ v) : a ≠ r q := by
54
+ intro h
55
+ exact hqv (hinj hq hv (h.symm.trans ha))
56
+ rw [prod_eq_single_of_mem v hv (fun q hq hqv => ite_eq_right (hne q hq hqv)),
57
+ sum_eq_single_of_mem v hv (fun q hq hqv => ite_eq_right (hne q hq hqv))]
58
+ simp only [ite_eq_left ha]
59
+ ring
60
+ · have hne (v : ι) (hv : v ∈ V) : a ≠ r v := fun h => ha ⟨v,hv,h⟩
61
+ rw [prod_eq_one (fun v hv => ite_eq_right (hne v hv)),
62
+ sum_eq_zero (fun v hv => ite_eq_right (hne v hv))]
63
+ ring
64
+ simp_rw [hpoint]
65
+ simp only [avg, sum_add_distrib, sum_const, card_univ, ZMod.card, nsmul_eq_mul]
66
+ rw [sum_comm]
67
+ simp only [sum_ite_eq', mem_univ, ite_true]
68
+ have hp : (p : ℝ) ≠ 0 := by exact_mod_cast NeZero.ne p
69
+ rw [sum_sub_distrib, sum_const, nsmul_eq_mul]
70
+ simp only [sum_sub_distrib, sum_const, nsmul_eq_mul]
71
+ field_simp
72
+ ring
73
+
74
+ def backgroundMultiplier (w : ClosedLine h ℓ) (U : Finset ℤ) (p : S.Index)
75
+ (a : ZMod (p : ℕ)) : ℝ :=
76
+ ∏ v ∈ treeVertices w, if a + (v : ZMod (p : ℕ)) = 0 then
77
+ S.beta p ^ w.children v * (if S.IsCore p ∧ v ∈ U then Real.exp kappa else 1) else 1
78
+
79
+ def treeDefect (w : ClosedLine h ℓ) (p : S.Index) : ℝ :=
80
+ ∑ v ∈ treeVertices w, (1 - S.beta p ^ w.children v)
81
+
82
+ lemma beta_nonneg (p : S.Index) : 0 ≤ S.beta p := by
83
+ have ha := A_pos
84
+ unfold beta amplitude
85
+ split_ifs <;> positivity
86
+
87
+ lemma beta_le_one (p : S.Index) : S.beta p ≤ 1 := by
88
+ unfold beta amplitude
89
+ split_ifs
90
+ · exact betaC_le_one
91
+ · norm_num
92
+
93
+ lemma background_vertex_le_one (w : ClosedLine h ℓ) (U : Finset ℤ)
94
+ (hU : ∀ v ∈ U, w.children v = 1) (p : S.Index) (v : ℤ) :
95
+ S.beta p ^ w.children v * (if S.IsCore p ∧ v ∈ U then Real.exp kappa else 1) ≤ 1 := by
96
+ by_cases hu : S.IsCore p ∧ v ∈ U
97
+ · rw [ite_eq_left hu, hU v hu.2, pow_one]
98
+ simpa only [beta, amplitude, hu.1, ite_true, betaC] using betaC_mul_exp_le_one
99
+ · rw [ite_eq_right hu, mul_one]
100
+ exact pow_le_one₀ (beta_nonneg p) (beta_le_one p)
101
+
102
+ lemma backgroundMultiplier_bounds (w : ClosedLine h ℓ) (U : Finset ℤ)
103
+ (hU : ∀ v ∈ U, w.children v = 1) (p : S.Index) (a : ZMod (p : ℕ)) :
104
+ 0 ≤ backgroundMultiplier w U p a ∧ backgroundMultiplier w U p a ≤ 1 := by
105
+ have hnon (v : ℤ) : 0 ≤ (if a + (v : ZMod (p : ℕ)) = 0 then
106
+ S.beta p ^ w.children v * (if S.IsCore p ∧ v ∈ U then Real.exp kappa else 1) else 1) := by
107
+ have hb := beta_nonneg p
108
+ split_ifs <;> positivity
109
+ constructor
110
+ · exact prod_nonneg (fun v _ => hnon v)
111
+ · apply prod_le_one₀ (fun v _ => hnon v)
112
+ intro v hv
113
+ by_cases ha : a + (v : ZMod (p : ℕ)) = 0
114
+ · rw [ite_eq_left ha]
115
+ exact background_vertex_le_one w U hU p v
116
+ · rw [ite_eq_right ha]
117
+
118
+ lemma background_mean_exact (w : ClosedLine h ℓ) (U : Finset ℤ)
119
+ (p : S.Index) (hinj : Set.InjOn (fun v : ℤ => (v : ZMod (p : ℕ))) (treeVertices w)) :
120
+ avg (backgroundMultiplier w U p) = 1 -
121
+ (∑ v ∈ treeVertices w,
122
+ (1 - S.beta p ^ w.children v *
123
+ (if S.IsCore p ∧ v ∈ U then Real.exp kappa else 1))) / (p : ℝ) := by
124
+ change avg (fun a => ∏ v ∈ treeVertices w, if a + (v : ZMod (p : ℕ)) = 0 then _ else _) = _
125
+ simp only [add_eq_zero_iff_eq_neg]
126
+ apply residue_product_mean
127
+ intro v hv u hu hneg
128
+ exact hinj hv hu (neg_injective hneg)
129
+
130
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
131
+
132
+ end
133
+
134
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TwoBlockRerooting.lean ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.GateAncestor
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.Rerooting
14
+ open Classical Finset SimpleGraph
15
+ noncomputable section
16
+ variable {V α : Type*} [DecidableEq V] [Fintype α] [DecidableEq α]
17
+ variable {G₁ G₂ : SimpleGraph V} {root₁ root₂ : V} {A₁ A₂ : α→Finset V}
18
+
19
+ theorem two_block_rerooting (hG₁ : G₁.IsAcyclic) (hG₂ : G₂.IsAcyclic)
20
+ (g₁ : ∀ p,Gate G₁ root₁ (A₁ p)) (g₂ : ∀ p,Gate G₂ root₂ (A₂ p))
21
+ (hA₂ : ∀ p,ConnectedSet G₂ (A₂ p))
22
+ (J n : ℕ) (hn : n^8 ≤ Fintype.card α)
23
+ (hcap : ∀ x y,G₂.Adj x y → (univ.filter (fun p => x ∈ A₂ p ∧ y ∈ A₂ p)).card ≤ J) :
24
+ ∃ (t : Finset α) (root : V) (g : ∀ p : t,Gate G₂ root (A₂ p.val)) (key : t→ℕ),
25
+ n ≤ (2*J+1)*t.card ∧ (root=root₂ ∨ ∃ p,root=(g₂ p).vertex) ∧
26
+ ∀ p q : t,gateAncestor (fun p : t => g₁ p.val) p q ∨ gateAncestor g p q → key p<key q := by
27
+ by_cases hn0 : n=0
28
+ · refine ⟨∅,root₂,(fun p => g₂ p.val),(fun p => (g₁ p.val).path.length),by simp [hn0],Or.inl rfl,?_⟩
29
+ intro p _ _
30
+ exact (notMem_empty p.val p.property).elim
31
+ have hr₁ := ancestor_trans hG₁ root₁ (fun p => (g₁ p).vertex) (fun p => (g₁ p).path) (fun p => (g₁ p).simple)
32
+ have hr₂ := ancestor_trans hG₂ root₂ (fun p => (g₂ p).vertex) (fun p => (g₂ p).path) (fun p => (g₂ p).simple)
33
+ obtain ⟨c,hcu,hc,hcases⟩ := two_order_extraction (gateAncestor g₁) (gateAncestor g₂)
34
+ hr₁ (ancestor_irrefl root₁ (fun p => (g₁ p).vertex) (fun p => (g₁ p).path))
35
+ hr₂ (ancestor_irrefl root₂ (fun p => (g₂ p).vertex) (fun p => (g₂ p).path)) univ n (by simpa using hn)
36
+ have hcne : c.Nonempty := card_pos.mp (by omega)
37
+ have hcs : n ≤ (2*J+1)*c.card := hc.trans (by nlinarith)
38
+ rcases hcases with ha₁|ha₂|hag|hre
39
+ · refine ⟨c,root₂,(fun p => g₂ p.val),(fun p => (g₂ p.val).path.length),hcs,Or.inl rfl,?_⟩
40
+ intro p q h
41
+ rcases h with h|h
42
+ · exact ((ha₁ p.property q.property (fun he => h.2 (congrArg (fun p => (g₁ p).vertex) he))).1 h).elim
43
+ · exact ancestor_length_lt hG₂ root₂ _ _ (fun p : c => (g₂ p.val).simple) h
44
+ · refine ⟨c,root₂,(fun p => g₂ p.val),(fun p => (g₁ p.val).path.length),hcs,Or.inl rfl,?_⟩
45
+ intro p q h
46
+ rcases h with h|h
47
+ · exact ancestor_length_lt hG₁ root₁ _ _ (fun p : c => (g₁ p.val).simple) h
48
+ · exact ((ha₂ p.property q.property (fun he => h.2 (congrArg (fun p => (g₂ p).vertex) he))).1 h).elim
49
+ · refine ⟨c,root₂,(fun p => g₂ p.val),(fun p => (g₁ p.val).path.length),hcs,Or.inl rfl,?_⟩
50
+ intro p q h
51
+ rcases h with h|h
52
+ · exact ancestor_length_lt hG₁ root₁ _ _ (fun p : c => (g₁ p.val).simple) h
53
+ · have hpq : p.val≠q.val := fun he => h.2 (congrArg (fun p => (g₂ p).vertex) he)
54
+ rcases hag p.property q.property hpq with ha|ha
55
+ · exact ancestor_length_lt hG₁ root₁ _ _ (fun p => (g₁ p).simple) ha.1
56
+ · have hlt := ancestor_length_lt hG₂ root₂ _ _ (fun p : c => (g₂ p.val).simple) h
57
+ have hgt := ancestor_length_lt hG₂ root₂ _ _ (fun p => (g₂ p).simple) ha.2
58
+ omega
59
+ · let : Nonempty c := ⟨⟨hcne.choose,hcne.choose_spec⟩⟩
60
+ have hre' : Chain (Reverse (gateAncestor (fun p : c => g₁ p.val))
61
+ (gateAncestor (fun p : c => g₂ p.val))) univ := by
62
+ intro p _ q _ hpq
63
+ exact hre p.property q.property (fun he => hpq (Subtype.ext he))
64
+ have hcap' (x y : V) (hxy : G₂.Adj x y) :
65
+ (univ.filter (fun p : c => x ∈ A₂ p.val ∧ y ∈ A₂ p.val)).card ≤ J := by
66
+ let u := univ.filter (fun p : c => x ∈ A₂ p.val ∧ y ∈ A₂ p.val)
67
+ calc
68
+ u.card=(u.image Subtype.val).card := (card_image_of_injective _ Subtype.val_injective).symm
69
+ _ ≤ (univ.filter (fun p => x ∈ A₂ p ∧ y ∈ A₂ p)).card := by
70
+ apply card_le_card
71
+ intro p hp
72
+ obtain ⟨q,hq,rfl⟩ := mem_image.mp hp
73
+ exact mem_filter.mpr ⟨mem_univ _,(mem_filter.mp hq).2⟩
74
+ _ ≤ J := hcap x y hxy
75
+ obtain ⟨root,g,u,hcard,hroot,horder⟩ := reroot_reverse hG₁ hG₂
76
+ (fun p : c => g₁ p.val) (fun p : c => g₂ p.val) (fun p => hA₂ p.val) hre' J hcap'
77
+ let t := u.image Subtype.val
78
+ have htc : t ⊆ c := image_subset_iff.mpr (fun p _ => p.property)
79
+ let e : t→c := fun p => ⟨p.val,htc p.property⟩
80
+ have heu (p : t) : e p ∈ u := by
81
+ obtain ⟨q,hq,he⟩ := mem_image.mp p.property
82
+ have heq : e p=q := Subtype.ext he.symm
83
+ simpa only [heq] using hq
84
+ have htcard : t.card=u.card := card_image_of_injective _ Subtype.val_injective
85
+ refine ⟨t,root,(fun p => g (e p)),(fun p => (g₁ p.val).path.length),?_,?_,?_⟩
86
+ · rw [htcard]
87
+ exact hc.trans (by simpa using hcard)
88
+ · right
89
+ obtain ⟨p,hp⟩ := hroot
90
+ exact ⟨p.val,hp⟩
91
+ · intro p q h
92
+ rcases h with h|h
93
+ · exact ancestor_length_lt hG₁ root₁ _ _ (fun p : t => (g₁ p.val).simple) h
94
+ · exact horder (e p) (heu p) (e q) (heu q) h
95
+
96
+ end
97
+ end OrdinaryCorrelations.Rerooting
98
+
99
+ end
100
+
101
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/TwoTermBinomial.lean ADDED
@@ -0,0 +1,164 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.MemSupport
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.SourceCylinder
14
+ variable {ι : Type*} [Fintype ι] {Ω : ι → Type*} [∀ p, Fintype (Ω p)]
15
+ local instance twoTermBinomialDecidableEqIndex : DecidableEq ι := Classical.decEq _
16
+ local instance twoTermBinomialDecidableEqIntersection (E : Finset (Cylinder Ω)) :
17
+ DecidableEq (Intersection E) := Classical.decEq _
18
+ local instance twoTermBinomialDecidableLEIntersection (E : Finset (Cylinder Ω)) :
19
+ DecidableLE (Intersection E) := Classical.decRel _
20
+ local instance twoTermBinomialDecidableLTIntersection (E : Finset (Cylinder Ω)) :
21
+ DecidableLT (Intersection E) := Classical.decRel _
22
+ local instance twoTermBinomialLocallyFiniteOrderIntersection (E : Finset (Cylinder Ω)) :
23
+ LocallyFiniteOrder (Intersection E) :=
24
+ Fintype.toLocallyFiniteOrder
25
+
26
+ lemma two_term_binomial (a k : ℕ) :
27
+ a ^ (k + 1) + (k + 1) * a ^ k ≤ (a + 1) ^ (k + 1) := by
28
+ induction k with
29
+ | zero => simp
30
+ | succ k ih =>
31
+ have h := Nat.mul_le_mul_right (a + 1) ih
32
+ simp only [pow_succ] at h ⊢
33
+ calc
34
+ a ^ k * a * a + (k+1+1) * (a^k*a)
35
+ ≤ a ^ k * a * a + (k+1+1) * (a^k*a) + (k+1)*a^k := Nat.le_add_right _ _
36
+ _ = (a^k*a + (k+1)*a^k)*(a+1) := by ring
37
+ _ ≤ (a+1)^k*(a+1)*(a+1) := h
38
+
39
+ lemma double_power_le (n : ℕ) : 2 * n ^ (n+1) ≤ (n+1) ^ (n+1) := by
40
+ have h := two_term_binomial n n
41
+ have h' : 2 * n ^ (n+1) ≤ n ^ (n+1) + (n+1) * n ^ n := by
42
+ rw [pow_succ]
43
+ calc
44
+ 2*(n^n*n) ≤ 2*(n^n*n)+n^n := Nat.le_add_right _ _
45
+ _ = n^n*n+(n+1)*n^n := by ring
46
+ exact h'.trans h
47
+
48
+ lemma factorial_power_bound (m : ℕ) (hm : 2 ≤ m) :
49
+ 2 ^ m * m.factorial ≤ m ^ (m+1) := by
50
+ induction m with
51
+ | zero => omega
52
+ | succ n ih =>
53
+ by_cases hn : 2 ≤ n
54
+ · calc
55
+ 2 ^ (n+1) * (n+1).factorial = (n+1) * (2 * (2^n * n.factorial)) := by
56
+ rw [pow_succ, Nat.factorial_succ]; ring
57
+ _ ≤ (n+1) * (2 * n ^ (n+1)) := Nat.mul_le_mul_left _ (Nat.mul_le_mul_left _ (ih hn))
58
+ _ ≤ (n+1) * (n+1) ^ (n+1) := Nat.mul_le_mul_left _ (double_power_le n)
59
+ _ = (n+1) ^ (n+1+1) := by rw [pow_succ]; ring
60
+ · have : n = 1 := by omega
61
+ subst n
62
+ decide
63
+
64
+ lemma geometric_two_bound (m : ℕ) : (∑ k ∈ Finset.range m, 2^k) ≤ 2^m := by
65
+ induction m with
66
+ | zero => simp
67
+ | succ m ih => rw [Finset.sum_range_succ, pow_succ]; omega
68
+
69
+ lemma choose_factorial_le {m k : ℕ} (hk : k ≤ m) :
70
+ m.choose k * k.factorial ≤ m.factorial := by
71
+ have h := Nat.choose_mul_factorial_mul_factorial hk
72
+ calc
73
+ m.choose k * k.factorial ≤ (m.choose k * k.factorial) * (m-k).factorial := by
74
+ exact Nat.le_mul_of_pos_right _ (Nat.factorial_pos _)
75
+ _ = m.factorial := h
76
+
77
+ omit [Fintype ι] in
78
+ lemma proper_subset_factorial_sum (U : Finset ι) :
79
+ (∑ S ∈ U.powerset with S.card < U.card, 2 ^ S.card * S.card.factorial) ≤
80
+ 2 ^ U.card * U.card.factorial := by
81
+ classical
82
+ rw [Finset.sum_filter]
83
+ rw [Finset.sum_powerset]
84
+ have hlevel (k : ℕ) :
85
+ (∑ S ∈ U.powersetCard k,
86
+ if S.card < U.card then 2 ^ S.card * S.card.factorial else 0) =
87
+ U.card.choose k * (if k < U.card then 2 ^ k * k.factorial else 0) := by
88
+ simpa [nsmul_eq_mul] using
89
+ (Finset.sum_powersetCard k U (fun k => if k < U.card then 2 ^ k * k.factorial else 0))
90
+ simp_rw [hlevel]
91
+ rw [Finset.sum_range_succ]
92
+ simp only [lt_self_iff_false, ↓reduceIte, mul_zero, add_zero]
93
+ calc
94
+ (∑ k ∈ Finset.range U.card,
95
+ U.card.choose k * (if k < U.card then 2 ^ k * k.factorial else 0))
96
+ ≤ ∑ k ∈ Finset.range U.card, 2 ^ k * U.card.factorial := by
97
+ apply Finset.sum_le_sum
98
+ intro k hk
99
+ have hk' := Finset.mem_range.mp hk
100
+ simp only [hk', ↓reduceIte]
101
+ calc
102
+ U.card.choose k * (2 ^ k * k.factorial) = 2 ^ k * (U.card.choose k * k.factorial) := by ring
103
+ _ ≤ 2 ^ k * U.card.factorial := Nat.mul_le_mul_left _ (choose_factorial_le hk'.le)
104
+ _ = (∑ k ∈ Finset.range U.card, 2 ^ k) * U.card.factorial := by rw [Finset.sum_mul]
105
+ _ ≤ 2 ^ U.card * U.card.factorial := Nat.mul_le_mul_right _ (geometric_two_bound _)
106
+
107
+ omit [∀ p, Fintype (Ω p)] in
108
+ lemma intersection_support_inj (E : Finset (Cylinder Ω)) (I : Intersection E) :
109
+ Set.InjOn (fun J : Intersection E => J.val.support) {J | J ≤ I} := by
110
+ intro J hJ K hK heq
111
+ exact Subtype.ext (Cylinder.eq_of_support_eq hJ hK heq)
112
+
113
+ lemma coefficient_crude (E : Finset (Cylinder Ω)) (I : Intersection E) :
114
+ (coefficient E I).natAbs ≤ 2 ^ I.val.support.card * I.val.support.card.factorial := by
115
+ classical
116
+ have aux : ∀ m, ∀ I : Intersection E, I.val.support.card = m →
117
+ (coefficient E I).natAbs ≤ 2 ^ m * m.factorial := by
118
+ intro m
119
+ induction m using Nat.strong_induction_on with
120
+ | h m ih =>
121
+ intro I hcard
122
+ by_cases hI : I = ⊥
123
+ · subst I
124
+ simp [coefficient, IncidenceAlgebra.mu_self, show (⊥ : Intersection E).val = ⊥ from rfl] at hcard ⊢
125
+ subst m
126
+ simp
127
+ · have hmu : coefficient E I = -∑ J ∈ Finset.Ico ⊥ I, coefficient E J := by
128
+ exact IncidenceAlgebra.mu_eq_neg_sum_Ico_of_ne (Ne.symm hI)
129
+ rw [hmu, Int.natAbs_neg]
130
+ calc
131
+ (∑ J ∈ Finset.Ico ⊥ I, coefficient E J).natAbs
132
+ ≤ ∑ J ∈ Finset.Ico ⊥ I, (coefficient E J).natAbs := Int.natAbs_sum_le _ _
133
+ _ ≤ ∑ J ∈ Finset.Ico ⊥ I, 2 ^ J.val.support.card * J.val.support.card.factorial := by
134
+ apply Finset.sum_le_sum
135
+ intro J hJ
136
+ have hjlt : J.val.support.card < m := by
137
+ rw [← hcard]
138
+ exact Finset.card_lt_card (Cylinder.support_ssubset (Finset.mem_Ico.mp hJ).2)
139
+ exact ih _ hjlt J rfl
140
+ _ = ∑ S ∈ (Finset.Ico ⊥ I).image (fun J : Intersection E => J.val.support),
141
+ 2 ^ S.card * S.card.factorial := by
142
+ symm
143
+ apply Finset.sum_image
144
+ intro J hJ K hK hJK
145
+ exact intersection_support_inj E I (Finset.mem_Ico.mp hJ).2.le
146
+ (Finset.mem_Ico.mp hK).2.le hJK
147
+ _ ≤ ∑ S ∈ I.val.support.powerset with S.card < I.val.support.card,
148
+ 2 ^ S.card * S.card.factorial := by
149
+ apply Finset.sum_le_sum_of_subset_of_nonneg
150
+ · intro S hS
151
+ obtain ⟨J,hJ,rfl⟩ := Finset.mem_image.mp hS
152
+ have hlt := (Finset.mem_Ico.mp hJ).2
153
+ exact Finset.mem_filter.mpr ⟨Finset.mem_powerset.mpr (Cylinder.support_mono hlt.le),
154
+ Finset.card_lt_card (Cylinder.support_ssubset hlt)⟩
155
+ · intros; omega
156
+ _ ≤ 2 ^ I.val.support.card * I.val.support.card.factorial := proper_subset_factorial_sum _
157
+ _ = 2 ^ m * m.factorial := by rw [hcard]
158
+ exact aux _ I rfl
159
+
160
+ end OrdinaryCorrelations.SourceCylinder
161
+
162
+ end
163
+
164
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UncutTreeEdges.lean ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.NumericalLine
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.NoFixedQualifyingPath
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace Finset Classical
16
+ noncomputable section
17
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
18
+
19
+ def uncutTreeEdges (w : ClosedLine h ℓ) (a : S.FixedResidues w) : Finset (Fin ℓ) :=
20
+ w.treeSteps.filter (fun e => ∀ p : S.FixedIndex w, (p.val:ℕ) ∣ w.label e →
21
+ a p+(w.offset e.castSucc : ZMod (p.val:ℕ))=0)
22
+
23
+ structure TreePath (w : NumericalLine D h ℓ) (L : ℕ) where
24
+ length : ℕ
25
+ length_pos : 0 < length
26
+ length_le : length ≤ L
27
+ vertex : Fin (length+1) → ℤ
28
+ distinct : Function.Injective vertex
29
+ vertex_mem : ∀ i, ∃ j, vertex i=w.line.offset j
30
+ edge : Fin length → Fin ℓ
31
+ tree : ∀ i, edge i ∈ w.line.treeSteps
32
+ forward : Fin length → Bool
33
+ endpoints : ∀ i, if forward i then
34
+ vertex i.castSucc=w.line.offset (edge i).castSucc ∧ vertex i.succ=w.line.offset (edge i).succ
35
+ else vertex i.castSucc=w.line.offset (edge i).succ ∧ vertex i.succ=w.line.offset (edge i).castSucc
36
+
37
+ namespace TreePath
38
+ variable {w : NumericalLine D h ℓ}
39
+
40
+ def pathSign (P : TreePath w L) (i : Fin P.length) : ℤ :=
41
+ if P.forward i then w.line.sign (P.edge i) else -w.line.sign (P.edge i)
42
+
43
+ lemma pathSign_mem (P : TreePath w L) (i : Fin P.length) :
44
+ P.pathSign i = -1 ∨ P.pathSign i = 1 := by
45
+ rcases w.line.sign_mem (P.edge i) with hs | hs <;>
46
+ cases hf : P.forward i <;> simp [pathSign,hf,hs]
47
+
48
+ lemma path_step (P : TreePath w L) (i : Fin P.length) :
49
+ P.vertex i.succ-P.vertex i.castSucc = P.pathSign i*h*w.line.label (P.edge i) := by
50
+ have he := P.endpoints i
51
+ have hs := w.line.step (P.edge i)
52
+ cases hf : P.forward i <;> simp only [hf,Bool.false_eq_true,ite_false,ite_true] at he
53
+ · rw [he.1,he.2]
54
+ simp only [pathSign,hf,Bool.false_eq_true,ite_false]
55
+ linear_combination -hs
56
+ · rw [he.1,he.2]
57
+ simpa only [pathSign,hf,ite_true] using hs
58
+
59
+ lemma vertex_residue_eq (P : TreePath w L) (p : S.Index) (i : Fin P.length)
60
+ (hd : (p:ℕ) ∣ w.line.label (P.edge i)) :
61
+ (P.vertex i.succ : ZMod (p:ℕ))=(P.vertex i.castSucc : ZMod (p:ℕ)) := by
62
+ have he := P.endpoints i
63
+ have hs := w.line.label_residue_eq (P.edge i) hd
64
+ cases hf : P.forward i <;> simp only [hf,Bool.false_eq_true,ite_false,ite_true] at he
65
+ · rw [he.1,he.2]; exact hs.symm
66
+ · rw [he.1,he.2]; exact hs
67
+
68
+ lemma departure_lit (P : TreePath w L) (a : S.FixedResidues w.line)
69
+ (hu : ∀ i, P.edge i ∈ uncutTreeEdges w.line a) (p : S.FixedIndex w.line)
70
+ (i : Fin P.length) (hd : (p.val:ℕ) ∣ w.line.label (P.edge i)) :
71
+ a p+(P.vertex i.castSucc : ZMod (p.val:ℕ))=0 := by
72
+ have hl := (mem_filter.mp (hu i)).2 p hd
73
+ have he := P.endpoints i
74
+ cases hf : P.forward i <;> simp only [hf,Bool.false_eq_true,ite_false,ite_true] at he
75
+ · rw [he.1,w.line.label_residue_eq (P.edge i) hd]; exact hl
76
+ · rw [he.1]; exact hl
77
+
78
+ def IsGap (P : TreePath w L) (a : S.FixedResidues w.line) (p : S.FixedIndex w.line) : Prop :=
79
+ 1<P.length ∧ a p+(P.vertex 0 : ZMod (p.val:ℕ))=0 ∧
80
+ a p+(P.vertex (Fin.last P.length) : ZMod (p.val:ℕ))=0 ∧
81
+ ∀ j : Fin (P.length+1), 0<j.val → j.val<P.length →
82
+ a p+(P.vertex j : ZMod (p.val:ℕ))≠0
83
+
84
+ lemma gap_prime_free (P : TreePath w L) (a : S.FixedResidues w.line)
85
+ (hu : ∀ i, P.edge i ∈ uncutTreeEdges w.line a) (p : S.FixedIndex w.line)
86
+ (hg : P.IsGap a p) : ∀ i, ¬(p.val:ℕ) ∣ w.line.label (P.edge i) := by
87
+ intro i hi
88
+ have hlen := hg.1
89
+ have hd := P.departure_lit a hu p i hi
90
+ by_cases hz : i.val=0
91
+ · have ha : a p+(P.vertex i.succ : ZMod (p.val:ℕ))=0 := by
92
+ rwa [P.vertex_residue_eq p.val i hi]
93
+ exact hg.2.2.2 i.succ (by simp) (by simp; omega) ha
94
+ · exact hg.2.2.2 i.castSucc (by dsimp; omega) (by exact i.isLt) hd
95
+
96
+ lemma gap_div_displacement (P : TreePath w L) (a : S.FixedResidues w.line)
97
+ (p : S.FixedIndex w.line) (hg : P.IsGap a p) :
98
+ ((p.val:ℕ):ℤ) ∣ P.vertex (Fin.last P.length)-P.vertex 0 := by
99
+ apply (ZMod.intCast_zmod_eq_zero_iff_dvd _ p.val).mp
100
+ rw [Int.cast_sub]
101
+ exact sub_eq_zero.mpr (add_left_cancel (hg.2.2.1.trans hg.2.1.symm))
102
+
103
+ def specification (P : TreePath w L) (p : S.Index)
104
+ (hfree : ∀ i, ¬(p:ℕ) ∣ w.line.label (P.edge i))
105
+ (hd : ((p:ℕ):ℤ) ∣ P.vertex (Fin.last P.length)-P.vertex 0) :
106
+ S.Specification D h L where
107
+ length := P.length
108
+ length_pos := P.length_pos
109
+ length_le := P.length_le
110
+ offset j := P.vertex j-P.vertex 0
111
+ offset_zero := sub_self _
112
+ offsets_distinct := by
113
+ intro i j he
114
+ apply P.distinct
115
+ linarith
116
+ label i := w.line.label (P.edge i)
117
+ label_mem i := w.labels (P.edge i)
118
+ sign := P.pathSign
119
+ sign_mem := P.pathSign_mem
120
+ step i := by simpa only [sub_sub_sub_cancel_right] using P.path_step i
121
+ extra := p
122
+ extra_not_div := hfree
123
+ suffix := ⟨0,P.length_pos⟩
124
+ extra_div_suffix := by simpa using hd
125
+
126
+ theorem gap_has_nonfixed (P : TreePath w L) (a : S.FixedResidues w.line)
127
+ (hu : ∀ i, P.edge i ∈ uncutTreeEdges w.line a) (hf : NoFixedForbidden w.line D L a)
128
+ (p : S.FixedIndex w.line) (hg : P.IsGap a p) :
129
+ ∃ (i : Fin P.length) (q : S.Index), (q:ℕ) ∣ w.line.label (P.edge i) ∧ ¬S.IsFixed w.line q := by
130
+ by_contra hn
131
+ have ha : ∀ (i : Fin P.length) (q : S.Index), (q:ℕ) ∣ w.line.label (P.edge i) → S.IsFixed w.line q := by
132
+ intro i q hq
133
+ by_contra hnf
134
+ exact hn ⟨i,q,hq,hnf⟩
135
+ let s := P.specification p.val (P.gap_prime_free a hu p hg) (P.gap_div_displacement a p hg)
136
+ apply no_fixed_qualifying_path w.line a hf s (P.vertex 0)
137
+ · intro j
138
+ simpa only [s,specification,add_sub_cancel] using P.vertex_mem j
139
+ · intro q hq
140
+ rcases mem_insert.mp hq with he | he
141
+ · have he' : q=p.val := Subtype.ext he
142
+ exact he' ▸ p.property
143
+ · obtain ⟨i,_,hqi⟩ := mem_biUnion.mp he
144
+ exact ha i q (Nat.mem_primeFactors.mp hqi).2.1
145
+ · intro q
146
+ constructor
147
+ · intro hqp
148
+ have he : q=p := Subtype.ext (Subtype.ext hqp)
149
+ subst q
150
+ exact hg.2.1
151
+ · intro i hqi
152
+ have hl := P.departure_lit a hu q i hqi
153
+ change a q+((P.vertex 0+(P.vertex i.castSucc-P.vertex 0):ℤ):ZMod (q.val:ℕ))=0
154
+ rw [show P.vertex 0+(P.vertex i.castSucc-P.vertex 0)=P.vertex i.castSucc by ring]
155
+ exact hl
156
+
157
+ end TreePath
158
+ end
159
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
160
+
161
+ end
162
+
163
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UnlitPolynomialBound.lean ADDED
@@ -0,0 +1,125 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SourceWitnessBasicScales
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.RepeatedUnlitTotalEqFixed
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration OrdinaryCorrelations.NumericalSubtrees
16
+ open Finset Classical Filter
17
+ namespace NumericalLine
18
+
19
+ lemma unlit_polynomial_bound (S : PrimeSystem) (M ℓ L J t : ℕ) :
20
+ unlitPrefactor S ℓ J ≤ witnessEntropyBase S M ℓ L J t ^ witnessEntropyDegree M ℓ L J t := by
21
+ let Q := witnessEntropyBase S M ℓ L J t
22
+ let N := ℓ*J
23
+ let H : ℝ := max 1 (∑ p ∈ S.primes,(p:ℝ)⁻¹)
24
+ have hH : 1 ≤ H := le_max_left _ _
25
+ have hA := A_pos
26
+ have hM := Nat.cast_nonneg (α:=ℝ) M
27
+ have hℓ := Nat.cast_nonneg (α:=ℝ) ℓ
28
+ have hL := Nat.cast_nonneg (α:=ℝ) L
29
+ have ht := Nat.cast_nonneg (α:=ℝ) t
30
+ have hN : N ≤ witnessSlotCount ℓ L J t := by
31
+ simp only [N,witnessSlotCount,WitnessConfiguration.codeSlot_card]
32
+ omega
33
+ have hNcast : (N:ℝ) ≤ (witnessSlotCount ℓ L J t:ℝ) := by exact_mod_cast hN
34
+ have hN0 : (0:ℝ) ≤ N := by positivity
35
+ have hslot := Nat.cast_nonneg (α:=ℝ) (witnessSlotCount ℓ L J t)
36
+ have hQ : 2 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H] at *; linarith
37
+ have hQA : A ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H] at *; linarith
38
+ have hQℓ : (ℓ:ℝ)+2 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H] at *; linarith
39
+ have hQN : (N:ℝ)+1 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H] at *; linarith
40
+ have hQH : H ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H] at *; linarith
41
+ have hQ0 : 0 ≤ Q := by linarith
42
+ have hHid : max 1 (∑ p : S.Index,(p:ℝ)⁻¹)=H := by
43
+ exact congrArg (max (1:ℝ)) (sum_coe_sort S.primes (fun p : ℕ => (p:ℝ)⁻¹))
44
+ unfold unlitPrefactor lineMassBound
45
+ rw [hHid,←Nat.cast_mul]
46
+ change A^N*((ℓ:ℝ)+2)^N*(2^ℓ*((N:ℝ)+1)*((N:ℝ)+1)^N*H^N) ≤ _
47
+ calc
48
+ _ ≤ Q^N*Q^N*(Q^ℓ*Q*Q^N*Q^N) := by gcongr
49
+ _ = Q^(4*N+ℓ+1) := by simp only [pow_add,pow_mul,pow_one]; ring
50
+ _ ≤ _ := pow_le_pow_right₀ (by linarith)
51
+ (by unfold witnessEntropyDegree; omega)
52
+
53
+ lemma source_unlit_prefactor_small (C₀ : ℝ) (hC₀ : 0 ≤ C₀) :
54
+ ∀ᶠ B : ℝ in atTop,
55
+ unlitPrefactor (sourceSystem B) (sourceLength B) ⌈C₀*Real.log B⌉₊ ≤
56
+ Real.exp (B^(1+epsilon/2)) := by
57
+ have hlim := (isLittleO_log_rpow_atTop (by norm_num [epsilon] : 0 < epsilon/4)).tendsto_div_nhds_zero
58
+ filter_upwards [source_witness_entropy_scales C₀ hC₀,
59
+ hlim.eventually (eventually_le_nhds (by norm_num : (0:ℝ)<1/2)),
60
+ eventually_ge_atTop (1:ℝ)] with B hs hlog hB
61
+ have hB0 : 0 < B := zero_lt_one.trans_le hB
62
+ have hbase0 : 0 ≤ witnessEntropyBase (sourceSystem B) (sourceListSlotBudget C₀ B)
63
+ (sourceLength B) (pathLength B) ⌈C₀*Real.log B⌉₊ (listCutoff B) := by
64
+ unfold witnessEntropyBase
65
+ have := A_pos
66
+ positivity
67
+ apply (unlit_polynomial_bound (sourceSystem B) (sourceListSlotBudget C₀ B)
68
+ (sourceLength B) (pathLength B) ⌈C₀*Real.log B⌉₊ (listCutoff B)).trans
69
+ apply (pow_le_pow_left₀ hbase0 hs.2 _).trans
70
+ rw [←Real.rpow_natCast,Real.rpow_def_of_pos (sq_pos_of_pos hB0),Real.log_pow]
71
+ apply Real.exp_le_exp.mpr
72
+ have hlog0 := Real.log_nonneg hB
73
+ have hl := (div_le_iff₀ (Real.rpow_pos_of_pos hB0 (epsilon/4))).mp hlog
74
+ have hd := mul_le_mul hs.1 hl hlog0 (Real.rpow_nonneg hB0.le _)
75
+ have hid : B^(1+epsilon/4)*((1/2)*B^(epsilon/4)) = (1/2)*B^(1+epsilon/2) := by
76
+ rw [mul_left_comm,←Real.rpow_add hB0]
77
+ congr 2
78
+ ring
79
+ rw [hid] at hd
80
+ norm_num only [Nat.cast_ofNat] at *
81
+ nlinarith
82
+
83
+ theorem source_unlit_tail_small (h : ℕ) (τ T C₀ : ℝ) (hC₀ : 0 ≤ C₀) :
84
+ ∀ᶠ B : ℝ in atTop, ∀ (D : (sourceSystem B).DivisorFamily B τ C₀)
85
+ (cut : (sourceSystem B).Cutoffs T),
86
+ unlitTailSum D h (sourceLength B) (pathLength B) cut (listCutoff B) ≤
87
+ Real.exp (-B^(1+epsilon/2)) := by
88
+ filter_upwards [source_unlit_prefactor_small C₀ hC₀,
89
+ eventually_const_mul_rpow_le (1+epsilon/2) (1+3*epsilon) 4 (by norm_num [epsilon]),
90
+ eventually_ge_atTop (1:ℝ)] with B hpref hdom hB
91
+ intro D cut
92
+ have hB0 : 0 < B := zero_lt_one.trans_le hB
93
+ let z := Real.exp ((1/2)*B^(1-epsilon))
94
+ have hz : 1 ≤ z := Real.one_le_exp (by positivity)
95
+ have hzp : ∀ p : (sourceSystem B).Index, z^2 ≤ (p:ℝ) := by
96
+ intro p
97
+ have he : z^2=sourceMinPrime B := by
98
+ dsimp [z,sourceMinPrime]
99
+ rw [←Real.exp_nat_mul]
100
+ congr 1
101
+ ring
102
+ rw [he]
103
+ exact (source_prime_lower B hB p).le
104
+ have hh := unlit_tail_sum_bound (h:=h) (ℓ:=sourceLength B) (L:=pathLength B) D cut z hz hzp (listCutoff B)
105
+ have hzt : 0 < z^(listCutoff B) := pow_pos (Real.exp_pos _) _
106
+ have ht : B^(4*epsilon) ≤ (listCutoff B:ℝ) := Nat.le_ceil _
107
+ have hs : (1/2)*B^(1+3*epsilon) ≤ (listCutoff B:ℝ)*((1/2)*B^(1-epsilon)) := by
108
+ have hm := mul_le_mul_of_nonneg_right ht (show 0 ≤ (1/2)*B^(1-epsilon) by positivity)
109
+ have he : B^(4*epsilon)*((1/2)*B^(1-epsilon))=(1/2)*B^(1+3*epsilon) := by
110
+ rw [mul_left_comm,←Real.rpow_add hB0]
111
+ congr 2
112
+ ring
113
+ rwa [he] at hm
114
+ apply (le_div_iff₀ hzt).mpr (hh.trans hpref) |>.trans
115
+ change Real.exp (B^(1+epsilon/2))/(Real.exp ((1/2)*B^(1-epsilon)))^(listCutoff B) ≤ _
116
+ rw [←Real.exp_nat_mul,←Real.exp_sub]
117
+ apply Real.exp_le_exp.mpr
118
+ nlinarith
119
+
120
+ end NumericalLine
121
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
122
+
123
+ end
124
+
125
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Unselected.lean ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+
12
+ namespace OrdinaryCorrelations.PivotSummation
13
+ open Finset Classical
14
+ variable {σ P : Type*} {n : ℕ}
15
+
16
+ abbrev Unselected (sel : Fin n → σ) := {s : σ // s ∉ Set.range sel}
17
+
18
+ def splitSlots (sel : Fin n → σ) (hinj : Function.Injective sel) :
19
+ (σ → P) ≃ (Fin n → P) × (Unselected sel → P) :=
20
+ (Equiv.piEquivPiSubtypeProd (fun s => s ∈ Set.range sel) (fun _ => P)).trans
21
+ (Equiv.prodCongr (Equiv.arrowCongr (Equiv.ofInjective sel hinj).symm (Equiv.refl P)) (Equiv.refl _))
22
+
23
+ lemma splitSlots_first (sel : Fin n → σ) (hinj : Function.Injective sel) (x : σ → P) (i : Fin n) :
24
+ (splitSlots sel hinj x).1 i = x (sel i) := rfl
25
+
26
+ lemma splitSlots_second (sel : Fin n → σ) (hinj : Function.Injective sel) (x : σ → P) (s : Unselected sel) :
27
+ (splitSlots sel hinj x).2 s = x s.val := rfl
28
+
29
+ def mergeSlots (sel : Fin n → σ) (hinj : Function.Injective sel)
30
+ (y : Fin n → P) (z : Unselected sel → P) : σ → P := (splitSlots sel hinj).symm (y,z)
31
+
32
+ lemma mergeSlots_selected (sel : Fin n → σ) (hinj : Function.Injective sel)
33
+ (y : Fin n → P) (z : Unselected sel → P) (i : Fin n) :
34
+ mergeSlots sel hinj y z (sel i)=y i := by
35
+ have he := congrArg (fun x : (Fin n → P) × (Unselected sel → P) => x.1 i)
36
+ ((splitSlots sel hinj).apply_symm_apply (y,z))
37
+ exact he
38
+
39
+ lemma mergeSlots_unselected (sel : Fin n → σ) (hinj : Function.Injective sel)
40
+ (y : Fin n → P) (z : Unselected sel → P) (s : Unselected sel) :
41
+ mergeSlots sel hinj y z s.val=z s := by
42
+ have he := congrArg (fun x : (Fin n → P) × (Unselected sel → P) => x.2 s)
43
+ ((splitSlots sel hinj).apply_symm_apply (y,z))
44
+ exact he
45
+
46
+ variable [Fintype σ] [Fintype P]
47
+
48
+ lemma prod_slots (sel : Fin n → σ) (hinj : Function.Injective sel) (f : σ → ℝ) :
49
+ (∏ s, f s) = (∏ i, f (sel i)) * ∏ s : Unselected sel, f s.val := by
50
+ rw [← Fintype.prod_subtype_mul_prod_subtype (fun s => s ∈ Set.range sel) f]
51
+ congr 1
52
+ convert (Equiv.prod_comp (Equiv.ofInjective sel hinj) (fun s => f s.val)).symm using 1
53
+ · congr 1
54
+ ext x
55
+ simp
56
+ · rfl
57
+
58
+ lemma sum_slots (sel : Fin n → σ) (hinj : Function.Injective sel) (F : (σ → P) → ℝ) :
59
+ (∑ x, F x) = ∑ z : Unselected sel → P, ∑ y : Fin n → P, F (mergeSlots sel hinj y z) := by
60
+ rw [← Equiv.sum_comp (splitSlots sel hinj).symm F,Fintype.sum_prod_type,sum_comm]
61
+ rfl
62
+
63
+ theorem slots_weighted_bound (sel : Fin n → σ) (hinj : Function.Injective sel)
64
+ (W : σ → P → ℝ) (hW : ∀ s p, 0 ≤ W s p) (A : (σ → P) → ℝ)
65
+ (K : ℝ) (hinner : ∀ z : Unselected sel → P,
66
+ (∑ y : Fin n → P, A (mergeSlots sel hinj y z) * ∏ i, W (sel i) (y i)) ≤ K) :
67
+ (∑ x : σ → P, A x * ∏ s, W s (x s)) ≤
68
+ K * ∏ s : Unselected sel, ∑ p : P, W s.val p := by
69
+ rw [sum_slots sel hinj]
70
+ have he : ∀ z : Unselected sel → P,
71
+ (∑ y : Fin n → P, A (mergeSlots sel hinj y z) * ∏ s, W s (mergeSlots sel hinj y z s)) =
72
+ (∑ y : Fin n → P, A (mergeSlots sel hinj y z) * ∏ i, W (sel i) (y i)) *
73
+ ∏ s : Unselected sel, W s.val (z s) := by
74
+ intro z
75
+ rw [sum_mul]
76
+ apply sum_congr rfl
77
+ intro y hy
78
+ rw [prod_slots sel hinj]
79
+ simp only [mergeSlots_selected,mergeSlots_unselected,mul_assoc]
80
+ simp_rw [he]
81
+ calc
82
+ _ ≤ ∑ z : Unselected sel → P, K * ∏ s : Unselected sel, W s.val (z s) := by
83
+ apply sum_le_sum
84
+ intro z hz
85
+ exact mul_le_mul_of_nonneg_right (hinner z) (prod_nonneg (fun s _ => hW _ _))
86
+ _ = _ := by rw [← mul_sum,← Fintype.prod_sum (fun s : Unselected sel => W s.val)]
87
+
88
+ end OrdinaryCorrelations.PivotSummation
89
+
90
+ end
91
+
92
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UnselectedCard.lean ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.CoordinateEquiv
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.ArithmeticSaving
14
+ open Finset Classical
15
+ lemma unselected_card {ι : Type*} [Fintype ι] [DecidableEq ι] {k : ℕ} (e : Fin k ↪ ι) :
16
+ Fintype.card (Unselected e) = Fintype.card ι-k := by
17
+ have he := Fintype.card_congr (coordinateEquiv e)
18
+ simp only [Fintype.card_sum,Fintype.card_fin] at he
19
+ omega
20
+ end OrdinaryCorrelations.ArithmeticSaving
21
+
22
+ end
23
+
24
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UntaggedEdgeCode.lean ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ModifiedWeightSameBand
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TopologyTreeSteps
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.VertexIndex
4
+
5
+ namespace OAI
6
+
7
+ noncomputable section
8
+ open scoped BigOperators
9
+ open Finset
10
+ open Finset Classical
11
+ open Filter
12
+ open Finset Classical Filter
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
16
+ open Finset Classical
17
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
18
+
19
+ def untaggedEdgeCode (w : ClosedLine h ℓ) (hh : 0 < h)
20
+ (𝔏 : List (AttachedSpec w D L)) (a : S.FixedResidues w) (p : S.Index) :
21
+ Option (Bool × Finset (Fin ℓ)) :=
22
+ (untaggedType w hh 𝔏 a p).map (fun t => (t.1,t.2.edges.val))
23
+
24
+ lemma tokens_eq_of_codes (w v : ClosedLine h ℓ) (hh : 0 < h)
25
+ (𝔏 : List (AttachedSpec w D L)) (𝔐 : List (AttachedSpec v D L))
26
+ (a : S.FixedResidues w) (b : S.FixedResidues v) (p : S.Index)
27
+ (hT : taggedTokens w hh 𝔏 (recordAt w hh 𝔏 a) p = taggedTokens v hh 𝔐 (recordAt v hh 𝔐 b) p)
28
+ (hU : untaggedEdgeCode w hh 𝔏 a p = untaggedEdgeCode v hh 𝔐 b p) :
29
+ recordTokens w hh 𝔏 (recordAt w hh 𝔏 a) p = recordTokens v hh 𝔐 (recordAt v hh 𝔐 b) p := by
30
+ rcases he : untaggedType w hh 𝔏 a p with _ | t <;>
31
+ rcases hf : untaggedType v hh 𝔐 b p with _ | u
32
+ · rw [← taggedTokens_of_none w hh 𝔏 a p he,← taggedTokens_of_none v hh 𝔐 b p hf]
33
+ exact hT
34
+ · simp only [untaggedEdgeCode,he,hf,Option.map_none,Option.map_some] at hU
35
+ contradiction
36
+ · simp only [untaggedEdgeCode,he,hf,Option.map_none,Option.map_some] at hU
37
+ contradiction
38
+ · simp only [untaggedEdgeCode,he,hf,Option.map_some] at hU
39
+ have hE : t.2.edges.val = u.2.edges.val := congrArg Prod.snd (Option.some.inj hU)
40
+ rw [(untaggedType_some w hh 𝔏 a p t he).2,(untaggedType_some v hh 𝔐 b p u hf).2,hE]
41
+
42
+ theorem line_eq_of_record_codes (w v : ClosedLine h ℓ) (hh : 0 < h)
43
+ (hw : ∀ i, w.label i ∈ D.members) (hv : ∀ i, v.label i ∈ D.members)
44
+ (r : ℕ) (hwr : (returnSteps w).card=r) (hvr : (returnSteps v).card=r)
45
+ (ht : encodeTopology w r hwr=encodeTopology v r hvr)
46
+ (𝔏 : List (AttachedSpec w D L)) (𝔐 : List (AttachedSpec v D L))
47
+ (a : S.FixedResidues w) (b : S.FixedResidues v)
48
+ (hT : ∀ p, taggedTokens w hh 𝔏 (recordAt w hh 𝔏 a) p = taggedTokens v hh 𝔐 (recordAt v hh 𝔐 b) p)
49
+ (hU : untaggedEdgeCode w hh 𝔏 a = untaggedEdgeCode v hh 𝔐 b) : w=v := by
50
+ apply topology_tree_labels_injective w v hh r hwr hvr ht
51
+ intro e he
52
+ have hev : e ∈ v.treeSteps := topology_treeSteps hwr hvr ht ▸ he
53
+ rw [← recordTokens_recover_label w hh 𝔏 a hw e he,
54
+ ← recordTokens_recover_label v hh 𝔐 b hv e hev]
55
+ apply Finset.prod_congr rfl
56
+ intro p hp
57
+ rw [tokens_eq_of_codes w v hh 𝔏 𝔐 a b p (hT p) (congrFun hU p)]
58
+
59
+ def untaggedReference {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
60
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) : S.Index → Option (TokenType w) :=
61
+ fun p => (untaggedType v hh 𝔏 a p).map (fun t => (t.1,H.shapeMap t.2))
62
+
63
+ lemma untaggedReference_edges {w v : ClosedLine h ℓ} (H : SameGeometry v w) (hh : 0 < h)
64
+ (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v) (p : S.Index) :
65
+ (untaggedReference H hh 𝔏 a p).map (fun t => (t.1,t.2.edges.val)) =
66
+ untaggedEdgeCode v hh 𝔏 a p := by
67
+ simp only [untaggedReference,untaggedEdgeCode,Option.map_map]
68
+ rfl
69
+
70
+ lemma tokenWeight_reference {w v : ClosedLine h ℓ} (H : SameGeometry v w)
71
+ (pC pZ : S.Index) (t : TokenType v) :
72
+ tokenWeight v pC pZ t = tokenWeight w pC pZ (t.1,H.shapeMap t.2) := by
73
+ unfold tokenWeight
74
+ exact H.modifiedWeight _ _
75
+
76
+ lemma untaggedReference_injective {w v : ClosedLine h ℓ} (H : SameGeometry v w) :
77
+ Function.Injective (fun t : TokenType v => (t.1,H.shapeMap t.2)) := by
78
+ intro t u he
79
+ apply Prod.ext
80
+ · exact congrArg (fun z : TokenType w => z.1) he
81
+ · exact H.shapeEquiv.injective (congrArg Prod.snd he)
82
+
83
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
84
+
85
+ end
86
+
87
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UntaggedReferenceWeight.lean ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SlotWeight
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.RecordPacket
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ExceptionalCodeSlot
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.FlatCode
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+
15
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
16
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
17
+ open OrdinaryCorrelations.TaggedPrimeGroups
18
+ open Finset Classical
19
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
20
+
21
+ lemma untagged_reference_weight {v w : ClosedLine h ℓ} (H : SameGeometry v w)
22
+ (hh : 0 < h) (𝔏 : List (AttachedSpec v D L)) (a : S.FixedResidues v)
23
+ (pC pZ : S.Index) (_hpC : S.IsCore pC) (_hpZ : ¬S.IsCore pZ) :
24
+ (∏ p : S.Index, TypeFibers.factor (untaggedReference H hh 𝔏 a)
25
+ (fun t p => tokenWeight w pC pZ t * slotWeight S (t.1=true) p) p) =
26
+ FactorialAssignments.unorderedWeight (TypeFibers.multiplicity (untaggedType v hh 𝔏 a))
27
+ (fun t (p : S.Index) => tokenWeight v pC pZ t * (p:ℝ)⁻¹)
28
+ (TypeFibers.unordered (untaggedType v hh 𝔏 a)) := by
29
+ rw [TypeFibers.unorderedWeight_eq]
30
+ apply prod_congr rfl
31
+ intro p hp
32
+ rcases he : untaggedType v hh 𝔏 a p with _ | t
33
+ · simp only [TypeFibers.factor,untaggedReference,he,Option.map_none]
34
+ · have ht := (untaggedType_some v hh 𝔏 a p t he).1
35
+ simp only [TypeFibers.factor,untaggedReference,he,Option.map_some,slotWeight,ht,ite_true]
36
+ rw [← tokenWeight_reference H]
37
+
38
+ namespace RecordPacket
39
+ variable {w₀ : ClosedLine h ℓ} {hh : 0 < h} {r : ℕ}
40
+ variable {hr₀ : (returnSteps w₀).card=r} {n N : ℕ}
41
+
42
+ noncomputable instance fintype : Fintype (RecordPacket D L w₀ hh r hr₀ n N) := Fintype.ofFinite _
43
+
44
+ noncomputable def exceptionalWeight (c : FlatCode S w₀ C₀ B L n N) : ℝ :=
45
+ weight (paddedGroupWeight (fun p : S.Index => (p:ℝ)⁻¹)) c.2.1 *
46
+ ∏ i : Fin N, paddedShapeWeight (fun p s => localTokenWeight w₀ p (taggedShapeCode w₀ s))
47
+ (c.2.1 (exceptionalPick L ⌈C₀*Real.log B⌉₊ n N i)) (c.2.2.1 i)
48
+
49
+ noncomputable def flatWeight (pC pZ : S.Index) (c : FlatCode S w₀ C₀ B L n N) : ℝ :=
50
+ exceptionalWeight c * ∏ p : S.Index, TypeFibers.factor c.2.2.2
51
+ (fun t p => tokenWeight w₀ pC pZ t * slotWeight S (t.1=true) p) p
52
+
53
+ noncomputable def nativeWeight (x : RecordPacket D L w₀ hh r hr₀ n N) : ℝ :=
54
+ ∏ p : S.Index, (if UsedPrime x.line x.primitives p then (p:ℝ)⁻¹ else 1) *
55
+ recordTreeWeight x.line hh x.primitives x.record p
56
+
57
+ lemma flatWeight_code (pC pZ : S.Index) (hpC : S.IsCore pC) (hpZ : ¬S.IsCore pZ)
58
+ (x : RecordPacket D L w₀ hh r hr₀ n N) : flatWeight pC pZ x.flatCode=x.nativeWeight := by
59
+ unfold nativeWeight flatWeight exceptionalWeight
60
+ rw [← x.realized_residues,record_weight_factorization x.line hh x.primitives x.residues pC pZ hpC hpZ]
61
+ rw [exceptionalCode_weight x.geometry hh x.primitives x.residues n N x.length_le x.tagCount]
62
+ congr 1
63
+ exact untagged_reference_weight x.geometry hh x.primitives x.residues pC pZ hpC hpZ
64
+
65
+ lemma factor_nonneg {P T : Type*} (f : P → Option T) (W : T → P → ℝ)
66
+ (hW : ∀ t p, 0 ≤ W t p) (p : P) : 0 ≤ TypeFibers.factor f W p := by
67
+ unfold TypeFibers.factor
68
+ cases he : f p with
69
+ | none => exact zero_le_one
70
+ | some t => exact hW t p
71
+
72
+ lemma exceptionalWeight_nonneg (c : FlatCode S w₀ C₀ B L n N) : 0 ≤ exceptionalWeight c := by
73
+ unfold exceptionalWeight
74
+ apply mul_nonneg
75
+ · exact weight_nonneg _ (paddedGroupWeight_nonneg _ (fun p => by positivity)) _
76
+ · exact prod_nonneg (fun i _ => paddedShapeWeight_nonneg _ (fun p s => localTokenWeight_nonneg w₀ p _) _ _)
77
+
78
+ lemma flatWeight_nonneg (pC pZ : S.Index) (c : FlatCode S w₀ C₀ B L n N) :
79
+ 0 ≤ flatWeight pC pZ c := by
80
+ exact mul_nonneg (exceptionalWeight_nonneg c) (prod_nonneg (fun p _ =>
81
+ factor_nonneg _ _ (fun t p => mul_nonneg (tokenWeight_nonneg _ _ _ _) (slotWeight_nonneg _ _ _)) p))
82
+
83
+ theorem native_sum_le_gated_code (pC pZ : S.Index) (hpC : S.IsCore pC) (hpZ : ¬S.IsCore pZ) :
84
+ (∑ x : RecordPacket D L w₀ hh r hr₀ n N, x.nativeWeight) ≤
85
+ ∑ c : FlatCode S w₀ C₀ B L n N, if flatGate D.H τ c then flatWeight pC pZ c else 0 := by
86
+ let W := fun c : FlatCode S w₀ C₀ B L n N => if flatGate D.H τ c then flatWeight pC pZ c else 0
87
+ have hx (x : RecordPacket D L w₀ hh r hr₀ n N) : W x.flatCode=x.nativeWeight := by
88
+ rw [show W x.flatCode=flatWeight pC pZ x.flatCode from ite_eq_left x.flatCode_gate,
89
+ flatWeight_code pC pZ hpC hpZ]
90
+ simp_rw [← hx]
91
+ calc
92
+ _ = ∑ c ∈ univ.image flatCode, W c := (sum_image (fun x _ y _ he => flatCode_injective he)).symm
93
+ _ ≤ _ := sum_le_sum_of_subset_of_nonneg (subset_univ _) (fun c _ _ => by
94
+ unfold W
95
+ split_ifs
96
+ · exact flatWeight_nonneg pC pZ c
97
+ · exact le_rfl)
98
+
99
+ end RecordPacket
100
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
101
+
102
+ end
103
+
104
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/UsedPrimeReciprocal.lean ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SourcePolyDivTendsto
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.FixedIsTagged
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+
12
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
13
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
14
+ open Finset Classical Filter
15
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
16
+
17
+ def usedPrimeReciprocal (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) : ℝ :=
18
+ ∏ p : S.Index, if UsedPrime w 𝔏 p then (p : ℝ)⁻¹ else 1
19
+
20
+ lemma usedPrimeReciprocal_nonneg (w : ClosedLine h ℓ) (𝔏 : List (AttachedSpec w D L)) :
21
+ 0 ≤ usedPrimeReciprocal w 𝔏 := by
22
+ unfold usedPrimeReciprocal
23
+ positivity
24
+
25
+ def traceIntegrationMajorant (w : ClosedLine h ℓ) (hh : 0 < h)
26
+ (𝔏 : List (AttachedSpec w D L)) (R : AssignedRecord S ℓ) (T err : ℝ) : ℝ :=
27
+ chargeConstant (S := S) w T (recordU w R.1) *
28
+ Real.exp (-S.harmonicCore * bandDefect w betaC - S.harmonicCenter * bandDefect w betaZ +
29
+ S.harmonicCore * betaC * (Real.exp kappa - 1) * (recordU w R.1).card + err) *
30
+ usedPrimeReciprocal w 𝔏 * ∏ p : S.Index, recordTreeWeight w hh 𝔏 R p
31
+
32
+ lemma traceIntegrationMajorant_nonneg (w : ClosedLine h ℓ) (hh : 0 < h)
33
+ (𝔏 : List (AttachedSpec w D L)) (R : AssignedRecord S ℓ) (T err : ℝ) :
34
+ 0 ≤ traceIntegrationMajorant w hh 𝔏 R T err := by
35
+ unfold traceIntegrationMajorant chargeConstant
36
+ exact mul_nonneg (mul_nonneg (mul_nonneg (Real.exp_pos _).le (Real.exp_pos _).le)
37
+ (usedPrimeReciprocal_nonneg w 𝔏)) (prod_nonneg (fun p _ => recordTreeWeight_nonneg w hh 𝔏 R p))
38
+
39
+ lemma traceIntegrationMajorant_mono (w : ClosedLine h ℓ) (hh : 0 < h)
40
+ (𝔏 : List (AttachedSpec w D L)) (R : AssignedRecord S ℓ) (T : ℝ) {e₁ e₂ : ℝ}
41
+ (he : e₁ ≤ e₂) :
42
+ traceIntegrationMajorant w hh 𝔏 R T e₁ ≤ traceIntegrationMajorant w hh 𝔏 R T e₂ := by
43
+ unfold traceIntegrationMajorant
44
+ apply mul_le_mul_of_nonneg_right _ (prod_nonneg (fun p _ => recordTreeWeight_nonneg w hh 𝔏 R p))
45
+ apply mul_le_mul_of_nonneg_right _ (usedPrimeReciprocal_nonneg w 𝔏)
46
+ apply mul_le_mul_of_nonneg_left _ (Real.exp_pos _).le
47
+ apply Real.exp_le_exp.mpr
48
+ linarith
49
+
50
+ theorem trace_integration_finite (w : ClosedLine h ℓ) (hh : 0 < h)
51
+ {T : ℝ} (cut : S.Cutoffs T) (𝔏 : List (AttachedSpec w D L))
52
+ (R : AssignedRecord S ℓ) (hlarge : ∀ p : S.Index, 2 * (ℓ+1) ≤ (p : ℕ)) :
53
+ assignedKernelIntegral w cut 𝔏 (recordGroup w hh 𝔏 R) ≤
54
+ traceIntegrationMajorant w hh 𝔏 R T (restorationError w 𝔏) := by
55
+ by_cases hex : ∃ a, recordGroup w hh 𝔏 R a
56
+ · obtain ⟨a,ha⟩ := hex
57
+ change recordAt w hh 𝔏 a = R at ha
58
+ subst R
59
+ have hb := assignedKernelIntegral_restored w hh cut 𝔏 (recordAt w hh 𝔏 a).1
60
+ (recordAt_compatible w hh 𝔏 a) (recordGroup w hh 𝔏 (recordAt w hh 𝔏 a))
61
+ (fun b hb p => recordGroup_edges w hh 𝔏 (recordAt w hh 𝔏 a) b hb p) hlarge
62
+ apply hb.trans
63
+ have hp : (∏ p : S.Index, tokenPrimeFactor w 𝔏 (recordAt w hh 𝔏 a).1 p) ≤
64
+ usedPrimeReciprocal w 𝔏 * ∏ p : S.Index, recordTreeWeight w hh 𝔏 (recordAt w hh 𝔏 a) p := by
65
+ rw [usedPrimeReciprocal, ← prod_mul_distrib]
66
+ exact prod_le_prod₀ (fun p _ => tokenPrimeFactor_nonneg w 𝔏 _ p)
67
+ (fun p _ => record_tokenPrimeFactor_le w hh 𝔏 a p)
68
+ simpa only [traceIntegrationMajorant,chargeConstant,mul_assoc] using
69
+ mul_le_mul_of_nonneg_left hp (mul_nonneg (Real.exp_pos _).le (Real.exp_pos _).le)
70
+ · have hfalse : ∀ a, ¬recordGroup w hh 𝔏 R a := not_exists.mp hex
71
+ have hz : assignedKernelIntegral w cut 𝔏 (recordGroup w hh 𝔏 R) = 0 := by
72
+ simp [assignedKernelIntegral,hfalse,avg]
73
+ rw [hz]
74
+ exact traceIntegrationMajorant_nonneg w hh 𝔏 R T _
75
+
76
+ theorem trace_integration_source (h : ℕ) (hh : 0 < h) (τ C₀ : ℝ)
77
+ (hτ : 0 ≤ τ) (hC₀ : 0 ≤ C₀) :
78
+ ∀ᶠ B : ℝ in atTop,
79
+ ∀ (D : (sourceSystem B).DivisorFamily B τ C₀)
80
+ (w : ClosedLine h (sourceLength B)),
81
+ (∀ i, w.label i ∈ D.members) →
82
+ ∀ {T : ℝ} (cut : (sourceSystem B).Cutoffs T)
83
+ (𝔏 : List (AttachedSpec w D (pathLength B))),
84
+ 𝔏.length < listCutoff B →
85
+ ∀ R : AssignedRecord (sourceSystem B) (sourceLength B),
86
+ assignedKernelIntegral w cut 𝔏 (recordGroup w hh 𝔏 R) ≤
87
+ traceIntegrationMajorant w hh 𝔏 R T (sourceErrorBound h τ C₀ B) := by
88
+ filter_upwards [source_eventually_large h] with B hB
89
+ intro D w hlabels T cut 𝔏 ht R
90
+ have he := restorationError_source_bound w 𝔏 hlabels hB.1 hC₀ hτ
91
+ (sourceLength_le B (by linarith [hB.1])) (pathLength_le B hB.1)
92
+ ((by exact_mod_cast ht.le : (𝔏.length : ℝ) ≤ (listCutoff B : ℝ)).trans (listCutoff_le B hB.1))
93
+ (fun p => (source_prime_lower B hB.1 p).le)
94
+ exact (trace_integration_finite w hh cut 𝔏 R (fun p => (hB.2 p).1)).trans
95
+ (traceIntegrationMajorant_mono w hh 𝔏 R T he)
96
+
97
+ lemma assignedKernelIntegral_mono (w : ClosedLine h ℓ) {T : ℝ} (cut : S.Cutoffs T)
98
+ (𝔏 : List (AttachedSpec w D L)) (G H : S.FixedResidues w → Prop)
99
+ (hGH : ∀ a, G a → H a) :
100
+ assignedKernelIntegral w cut 𝔏 G ≤ assignedKernelIntegral w cut 𝔏 H := by
101
+ apply avg_mono
102
+ intro a
103
+ by_cases hg : G a
104
+ · simp only [hg,hGH a hg,ite_true,le_refl]
105
+ · simp only [hg,ite_false]
106
+ split_ifs
107
+ · exact abs_nonneg _
108
+ · exact le_refl _
109
+
110
+ theorem trace_integration_retained (w : ClosedLine h ℓ) (hh : 0 < h)
111
+ {T : ℝ} (cut : S.Cutoffs T) (𝔏 : List (AttachedSpec w D L))
112
+ (R : AssignedRecord S ℓ) (retained : S.FixedResidues w → Prop)
113
+ (hlarge : ∀ p : S.Index, 2 * (ℓ+1) ≤ (p : ℕ)) :
114
+ assignedKernelIntegral w cut 𝔏 (fun a => retained a ∧ recordGroup w hh 𝔏 R a) ≤
115
+ traceIntegrationMajorant w hh 𝔏 R T (restorationError w 𝔏) :=
116
+ (assignedKernelIntegral_mono w cut 𝔏 _ _ (fun _ ha => ha.2)).trans
117
+ (trace_integration_finite w hh cut 𝔏 R hlarge)
118
+
119
+ theorem source_active_graph_eventually (h : ℕ) (hh : 0 < h) :
120
+ ∀ᶠ B : ℝ in atTop, ∀ (w : ClosedLine h (sourceLength B))
121
+ (p : (sourceSystem B).Index) (a : ZMod (p : ℕ)) (u v : ℤ),
122
+ (edgeGraph w hh (litEdges w p a)).Adj u v ↔
123
+ (edgeGraph w hh w.treeSteps).Adj u v ∧
124
+ a + (u : ZMod (p : ℕ)) = 0 ∧ a + (v : ZMod (p : ℕ)) = 0 := by
125
+ filter_upwards [source_eventually_large h] with B hB
126
+ intro w p a u v
127
+ exact active_graph_exact w hh p (Nat.not_dvd_of_pos_of_lt hh (hB.2 p).2) a u v
128
+
129
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
130
+
131
+ end
132
+
133
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexAt.lean ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.DivisorFamily
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem.Specification
14
+ open OrdinaryCorrelations.SignedTrace
15
+ open Finset Classical
16
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h L : ℕ}
17
+
18
+ def vertexAt (s : S.Specification D h L) (n : ℕ) : ℤ :=
19
+ if hn : n ≤ s.length then s.offset ⟨n,by omega⟩ else 0
20
+
21
+ def edgeAt (s : S.Specification D h L) (n : ℕ) : ℤ :=
22
+ if hn : n<s.length then s.sign ⟨n,hn⟩*(h:ℤ)*s.label ⟨n,hn⟩ else 0
23
+
24
+ def coefficientAt (s : S.Specification D h L) (q n : ℕ) : ℤ :=
25
+ if hn : n<s.length then
26
+ if q ∣ s.label ⟨n,hn⟩ then s.sign ⟨n,hn⟩*(h:ℤ)*(s.label ⟨n,hn⟩/q : ℕ) else 0
27
+ else 0
28
+
29
+ def coefficient (s : S.Specification D h L) (q a b : ℕ) : ℤ :=
30
+ ∑ n ∈ Ico a b, s.coefficientAt q n
31
+
32
+ lemma edgeAt_eq (s : S.Specification D h L) (n : ℕ) (hn : n<s.length) :
33
+ s.edgeAt n = s.vertexAt (n+1)-s.vertexAt n := by
34
+ simp only [edgeAt,vertexAt,dite_eq_left hn,dite_eq_left (show n+1 ≤ s.length by omega),
35
+ dite_eq_left (show n ≤ s.length by omega)]
36
+ exact (s.step ⟨n,hn⟩).symm
37
+
38
+ lemma displacement_eq_sum (s : S.Specification D h L) (a b : ℕ)
39
+ (hab : a ≤ b) (hb : b ≤ s.length) :
40
+ s.offset ⟨b,by omega⟩-s.offset ⟨a,by omega⟩ = ∑ n ∈ Ico a b, s.edgeAt n := by
41
+ calc
42
+ _ = s.vertexAt b-s.vertexAt a := by
43
+ simp only [vertexAt,dite_eq_left hb,dite_eq_left (hab.trans hb)]
44
+ _ = ∑ n ∈ Ico a b, (s.vertexAt (n+1)-s.vertexAt n) := (sum_Ico_sub _ hab).symm
45
+ _ = _ := sum_congr rfl (fun n hn => (s.edgeAt_eq n (by have := mem_Ico.mp hn; omega)).symm)
46
+
47
+ lemma mul_coefficient_interval (s : S.Specification D h L) (q a b : ℕ)
48
+ (hab : a ≤ b) (hb : b ≤ s.length)
49
+ (hq : ∀ n : Fin s.length, a ≤ n.val → n.val<b → q ∣ s.label n) :
50
+ (q:ℤ)*s.coefficient q a b = s.offset ⟨b,by omega⟩-s.offset ⟨a,by omega⟩ := by
51
+ rw [s.displacement_eq_sum a b hab hb,coefficient,mul_sum]
52
+ apply sum_congr rfl
53
+ intro n hn
54
+ have hi := mem_Ico.mp hn
55
+ have hn' : n<s.length := by omega
56
+ have hqn := hq ⟨n,hn'⟩ hi.1 hi.2
57
+ simp only [coefficientAt,edgeAt,dite_eq_left hn',ite_eq_left hqn]
58
+ have he : (q:ℤ)*(s.label ⟨n,hn'⟩/q : ℕ) = (s.label ⟨n,hn'⟩:ℤ) := by
59
+ exact_mod_cast Nat.mul_div_cancel' hqn
60
+ calc
61
+ _ = s.sign ⟨n,hn'⟩*(h:ℤ)*((q:ℤ)*(s.label ⟨n,hn'⟩/q : ℕ)) := by ring
62
+ _ = _ := by rw [he]
63
+
64
+ lemma coefficient_restrict (s : S.Specification D h L) (q a b c d : ℕ)
65
+ (hca : c ≤ a) (hbd : b ≤ d) (hd : d ≤ s.length)
66
+ (hzero : ∀ i : Fin s.length, c ≤ i.val → i.val<d →
67
+ (i.val<a ∨ b ≤ i.val) → ¬q ∣ s.label i) :
68
+ s.coefficient q c d = s.coefficient q a b := by
69
+ unfold coefficient
70
+ symm
71
+ apply sum_subset
72
+ · intro n hn
73
+ have hi := mem_Ico.mp hn
74
+ exact mem_Ico.mpr ⟨hca.trans hi.1,lt_of_lt_of_le hi.2 hbd⟩
75
+ · intro n hn hout
76
+ have hi := mem_Ico.mp hn
77
+ have hn' : n<s.length := by omega
78
+ have hsplit : n<a ∨ b ≤ n := by
79
+ by_contra he
80
+ push Not at he
81
+ exact hout (mem_Ico.mpr ⟨by omega,by omega⟩)
82
+ have hq := hzero ⟨n,hn'⟩ hi.1 hi.2 hsplit
83
+ simp only [coefficientAt,dite_eq_left hn',ite_eq_right hq]
84
+
85
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem.Specification
86
+
87
+ end
88
+
89
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexIndex.lean ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Nonempty
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.TopologyTreeSteps
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+
13
+ namespace OrdinaryCorrelations.NumericalSubtrees
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open Finset Classical
16
+ variable {h ℓ : ℕ} {w v : ClosedLine h ℓ}
17
+
18
+ def vertexIndex (w : ClosedLine h ℓ) (x : ℤ) : Fin (ℓ+1) :=
19
+ if hx : x ∈ treeVertices w then Classical.choose (mem_image.mp hx) else 0
20
+
21
+ lemma vertexIndex_spec (w : ClosedLine h ℓ) (x : ℤ) (hx : x ∈ treeVertices w) :
22
+ w.offset (vertexIndex w x)=x := by
23
+ simpa only [vertexIndex,dite_eq_left hx] using (Classical.choose_spec (mem_image.mp hx)).2
24
+
25
+ lemma offset_mem_vertices (w : ClosedLine h ℓ) (i : Fin (ℓ+1)) :
26
+ w.offset i ∈ treeVertices w := mem_image.mpr ⟨i,mem_univ _,rfl⟩
27
+
28
+ lemma edgeVertices_subset_vertices (w : ClosedLine h ℓ) (E : Finset (Fin ℓ)) :
29
+ edgeVertices w E ⊆ treeVertices w := by
30
+ intro x hx
31
+ rcases mem_union.mp hx with hx | hx
32
+ · obtain ⟨e,he,rfl⟩ := mem_image.mp hx
33
+ exact offset_mem_vertices w _
34
+ · obtain ⟨e,he,rfl⟩ := mem_image.mp hx
35
+ exact offset_mem_vertices w _
36
+
37
+ namespace SameGeometry
38
+
39
+ def vertexImage (_ : SameGeometry w v) (x : ℤ) : ℤ := v.offset (vertexIndex w x)
40
+
41
+ lemma vertexImage_offset (H : SameGeometry w v) (i : Fin (ℓ+1)) :
42
+ H.vertexImage (w.offset i) = v.offset i :=
43
+ (H.pattern _ _).mp (vertexIndex_spec w (w.offset i) (offset_mem_vertices w i))
44
+
45
+ lemma vertexImage_injective (H : SameGeometry w v) :
46
+ Set.InjOn H.vertexImage (treeVertices w) := by
47
+ intro x hx y hy he
48
+ have hh := (H.pattern (vertexIndex w x) (vertexIndex w y)).mpr he
49
+ simpa only [vertexIndex_spec w x hx,vertexIndex_spec w y hy] using hh
50
+
51
+ lemma vertices_image (H : SameGeometry w v) : (treeVertices w).image H.vertexImage = treeVertices v := by
52
+ simp only [treeVertices,image_image,Function.comp_def,H.vertexImage_offset]
53
+
54
+ lemma edgeVertices_image (H : SameGeometry w v) (E : Finset (Fin ℓ)) :
55
+ (edgeVertices w E).image H.vertexImage = edgeVertices v E := by
56
+ simp only [edgeVertices,image_union,image_image,Function.comp_def,H.vertexImage_offset]
57
+
58
+ lemma children_image (H : SameGeometry w v) (x : ℤ) (hx : x ∈ treeVertices w) :
59
+ v.children (H.vertexImage x) = w.children x := by
60
+ have he := H.children (vertexIndex w x)
61
+ simpa only [vertexIndex_spec w x hx,vertexImage] using he.symm
62
+
63
+ lemma weight (H : SameGeometry w v) {S : OrdinaryCorrelations.GraphKernel.PrimeSystem}
64
+ (p : S.Index) (E : Finset (Fin ℓ)) :
65
+ subtreeUnionWeight w p E = subtreeUnionWeight v p E := by
66
+ unfold subtreeUnionWeight
67
+ congr 1
68
+ rw [← H.edgeVertices_image E,prod_image (H.vertexImage_injective.mono (edgeVertices_subset_vertices w E))]
69
+ apply prod_congr rfl
70
+ intro x hx
71
+ rw [H.children_image x (edgeVertices_subset_vertices w E hx)]
72
+
73
+ lemma modifiedWeight (H : SameGeometry w v) {S : OrdinaryCorrelations.GraphKernel.PrimeSystem}
74
+ (p : S.Index) (E : Finset (Fin ℓ)) :
75
+ OrdinaryCorrelations.GraphKernel.PrimeSystem.modifiedWeight w p E =
76
+ OrdinaryCorrelations.GraphKernel.PrimeSystem.modifiedWeight v p E := by
77
+ simp only [OrdinaryCorrelations.GraphKernel.PrimeSystem.modifiedWeight,H.weight,H.good]
78
+
79
+ lemma bandDefect (H : SameGeometry w v) (β : ℝ) :
80
+ OrdinaryCorrelations.GraphKernel.PrimeSystem.bandDefect w β =
81
+ OrdinaryCorrelations.GraphKernel.PrimeSystem.bandDefect v β := by
82
+ unfold OrdinaryCorrelations.GraphKernel.PrimeSystem.bandDefect
83
+ rw [← H.vertices_image,sum_image H.vertexImage_injective]
84
+ apply sum_congr rfl
85
+ intro x hx
86
+ rw [H.children_image x hx]
87
+
88
+ def shapeMap (H : SameGeometry w v) (Q : Shape w) : Shape v where
89
+ top := ⟨v.offset Q.topEdge.castSucc,offset_mem_vertices v _⟩
90
+ edges := ⟨Q.edges.val,mem_erase.mpr ⟨Q.nonempty.ne_empty, (mem_shapes ..).mpr (by
91
+ apply (H.grows Q.topEdge.castSucc Q.edges.val).mp
92
+ simpa only [Q.topEdge_origin] using Q.grows)⟩⟩
93
+
94
+ lemma shapeMap_edges (H : SameGeometry w v) (Q : Shape w) : (H.shapeMap Q).edges.val=Q.edges.val := rfl
95
+
96
+ lemma Shape.ext_edges {w : ClosedLine h ℓ} (Q R : Shape w) (hE : Q.edges.val=R.edges.val) : Q=R := by
97
+ have htop : Q.top=R.top := by
98
+ apply Subtype.ext
99
+ rw [← Q.topEdge_origin,← R.topEdge_origin]
100
+ congr 2
101
+ simp only [Shape.topEdge,hE]
102
+ cases Q
103
+ cases R
104
+ cases htop
105
+ congr
106
+ exact Subtype.ext hE
107
+
108
+ lemma shapeMap_inverse (H : SameGeometry w v) (Q : Shape w) : H.symm.shapeMap (H.shapeMap Q)=Q :=
109
+ Shape.ext_edges _ _ rfl
110
+
111
+ def shapeEquiv (H : SameGeometry w v) : Shape w ≃ Shape v where
112
+ toFun := H.shapeMap
113
+ invFun := H.symm.shapeMap
114
+ left_inv := H.shapeMap_inverse
115
+ right_inv := H.symm.shapeMap_inverse
116
+
117
+ lemma goodEdges (H : SameGeometry w v) : OrdinaryCorrelations.NumericalSubtrees.goodEdges w =
118
+ OrdinaryCorrelations.NumericalSubtrees.goodEdges v := by
119
+ ext e
120
+ simp only [OrdinaryCorrelations.NumericalSubtrees.goodEdges,mem_filter,H.trees,H.good]
121
+
122
+ end SameGeometry
123
+
124
+ end OrdinaryCorrelations.NumericalSubtrees
125
+
126
+ end
127
+
128
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VertexWeight.lean ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PrimeSystem
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+
10
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
11
+ open OrdinaryCorrelations.FiniteIntegration OrdinaryCorrelations.SignedTrace
12
+ open Finset Classical
13
+ variable {S : PrimeSystem} {h ℓ : ℕ}
14
+
15
+ def vertexWeight (S : PrimeSystem) (r : S.Residues) (b : ℤ) : ℝ :=
16
+ ∏ p : S.Index, (S.beta p)⁻¹ ^
17
+ (if r p + (b : ZMod (p : ℕ)) = 0 then (1 : ℕ) else 0)
18
+
19
+ lemma vertexWeight_inv (S : PrimeSystem) (r : S.Residues) (b : ℤ) :
20
+ (S.vertexWeight r b)⁻¹ = ∏ p : S.Index, S.beta p ^
21
+ (if r p + (b : ZMod (p : ℕ)) = 0 then (1 : ℕ) else 0) := by
22
+ simp only [vertexWeight, prod_inv_distrib, inv_pow, inv_inv]
23
+
24
+ def edgeWeight (S : PrimeSystem) (w : ClosedLine h ℓ) {T : ℝ}
25
+ (cut : S.Cutoffs T) (r : S.Residues) (i : Fin ℓ) : ℝ :=
26
+ (cut.value (w.label i) (S.shiftCore (S.restrictCore r) (w.offset i.castSucc)) *
27
+ cut.value (w.label i) (S.shiftCore (S.restrictCore r) (w.offset i.succ))) *
28
+ ∏ p, S.occurrenceFactor w p i (r p)
29
+
30
+ def chronologicalKernel (S : PrimeSystem) (w : ClosedLine h ℓ) {T : ℝ}
31
+ (cut : S.Cutoffs T) (r : S.Residues) : ℝ :=
32
+ ∏ i : Fin ℓ, S.edgeWeight w cut r i / S.vertexWeight r (w.offset i.castSucc)
33
+
34
+ lemma chronologicalKernel_eq (S : PrimeSystem) (w : ClosedLine h ℓ) {T : ℝ}
35
+ (cut : S.Cutoffs T) (r : S.Residues) :
36
+ S.chronologicalKernel w cut r = S.kernel w cut r := by
37
+ simp only [chronologicalKernel, edgeWeight, div_eq_mul_inv, vertexWeight_inv,
38
+ kernel, cutoffProduct, primeFactor]
39
+ trans (∏ i : Fin ℓ,
40
+ (cut.value (w.label i) (S.shiftCore (S.restrictCore r) (w.offset i.castSucc)) *
41
+ cut.value (w.label i) (S.shiftCore (S.restrictCore r) (w.offset i.succ))) *
42
+ (∏ p : S.Index, S.occurrenceFactor w p i (r p) *
43
+ S.beta p ^ (if r p + (w.offset i.castSucc : ZMod (p : ℕ)) = 0 then 1 else 0)))
44
+ · apply prod_congr rfl
45
+ intro i _
46
+ rw [prod_mul_distrib]
47
+ ring
48
+ · rw [prod_mul_distrib, prod_comm]
49
+
50
+ lemma center_primeFactor_eq (S : PrimeSystem) (w : ClosedLine h ℓ) (p : S.Index)
51
+ (hp : ¬S.IsCore p) (r : ZMod (p : ℕ)) :
52
+ S.primeFactor w p r = centerPrimeFactor w.departures w.label r := by
53
+ simp only [primeFactor, occurrenceFactor, hp, ite_false, beta, amplitude,
54
+ add_eq_zero_iff_eq_neg, centerPrimeFactor, activeResidue, ClosedLine.departures,
55
+ activity, betaZ]
56
+ rfl
57
+
58
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
59
+
60
+ end
61
+
62
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/VerticesInBlock.lean ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WalkBetweenSupport
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WalkVertices
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.BlockEdges
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.AllForward
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+ open scoped Topology
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
18
+ open OrdinaryCorrelations.ForestTraversal Finset Classical SimpleGraph
19
+ noncomputable section
20
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ K : ℕ}
21
+ variable {w : NumericalLine D h ℓ} {hh : 0<h}
22
+
23
+ lemma TreePath.vertices_in_block (P : TreePath w K) (b : Block (edgeGraph w.line hh w.line.treeSteps))
24
+ (hPE : ∀ i,P.edge i ∈ blockEdges b) : ∀ j,P.vertex j ∈ b.walk.support := by
25
+ intro j
26
+ cases j using Fin.cases with
27
+ | zero =>
28
+ let i : Fin P.length := ⟨0,P.length_pos⟩
29
+ have hp := block_edge_endpoints b (P.edge i) (hPE i)
30
+ have he := P.endpoints i
31
+ have hi : i.castSucc=(0:Fin (P.length+1)) := rfl
32
+ cases hf : P.forward i <;> simp only [hf,Bool.false_eq_true,ite_false,ite_true] at he
33
+ · exact by simpa only [hi] using (he.1.symm ▸ hp.2)
34
+ · exact by simpa only [hi] using (he.1.symm ▸ hp.1)
35
+ | succ i =>
36
+ have hp := block_edge_endpoints b (P.edge i) (hPE i)
37
+ have he := P.endpoints i
38
+ cases hf : P.forward i <;> simp only [hf,Bool.false_eq_true,ite_false,ite_true] at he
39
+ · exact he.2.symm ▸ hp.1
40
+ · exact he.2.symm ▸ hp.2
41
+
42
+ lemma block_root_paths (b : Block (edgeGraph w.line hh w.line.treeSteps))
43
+ (hsmall : b.walk.length ≤ K) (hne : (blockEdges b).Nonempty) :
44
+ ∃ c : Fin (ℓ+1),w.line.offset c ∈ b.walk.support ∧
45
+ ∀ e ∈ blockEdges b,w.line.offset c=w.line.offset e.castSucc ∨
46
+ ∃ P : TreePath w K,P.vertex 0=w.line.offset c ∧
47
+ P.vertex (Fin.last P.length)=w.line.offset e.castSucc ∧
48
+ (∀ i,P.edge i<e) := by
49
+ let e₀ := (blockEdges b).min' hne
50
+ let c := e₀.castSucc
51
+ have hc : w.line.offset c ∈ b.walk.support :=
52
+ (block_edge_endpoints b e₀ (min'_mem _ _)).1
53
+ refine ⟨c,hc,?_⟩
54
+ intro e he
55
+ by_cases hv : w.line.offset c=w.line.offset e.castSucc
56
+ · exact Or.inl hv
57
+ · right
58
+ have ht : w.line.offset e.castSucc ∈ b.walk.support := (block_edge_endpoints b e he).1
59
+ obtain ⟨q,hq⟩ := walk_between_support (u := w.line.offset c) (v := w.line.offset e.castSucc) (localBlockWalk b)
60
+ (by rwa [localBlockWalk_support]) (by rwa [localBlockWalk_support])
61
+ have hlen : q.length ≤ K := by rw [localBlockWalk_length] at hq; exact hq.trans hsmall
62
+ obtain ⟨P,hP0,hPL,hPE⟩ := exists_treePath w hh (blockEdges_subset b) q hlen
63
+ (mem_image.mpr ⟨c,mem_univ _,rfl⟩) hv
64
+ have hf : ∀ i,P.forward i=true := P.all_forward hPE (by
65
+ rw [hP0]
66
+ exact min_origin_not_destination w.line (blockEdges_subset b) hne)
67
+ exact ⟨P,hP0,hPL,P.edges_before_endpoint hf e hPL⟩
68
+
69
+ lemma block_local_paths (b : Block (edgeGraph w.line hh w.line.treeSteps))
70
+ (hsmall : b.walk.length ≤ K) (c v : Fin (ℓ+1))
71
+ (hc : w.line.offset c ∈ b.walk.support) (hv : w.line.offset v ∈ b.walk.support) :
72
+ w.line.offset c=w.line.offset v ∨ ∃ P : TreePath w K,
73
+ P.vertex 0=w.line.offset c ∧ P.vertex (Fin.last P.length)=w.line.offset v ∧
74
+ ∀ i,P.vertex i ∈ b.walk.support := by
75
+ by_cases he : w.line.offset c=w.line.offset v
76
+ · exact Or.inl he
77
+ · right
78
+ obtain ⟨q,hq⟩ := walk_between_support (u := w.line.offset c) (v := w.line.offset v) (localBlockWalk b)
79
+ (by rwa [localBlockWalk_support]) (by rwa [localBlockWalk_support])
80
+ have hlen : q.length ≤ K := by rw [localBlockWalk_length] at hq; exact hq.trans hsmall
81
+ obtain ⟨P,hP0,hPL,hPE⟩ := exists_treePath w hh (blockEdges_subset b) q hlen
82
+ (mem_image.mpr ⟨c,mem_univ _,rfl⟩) he
83
+ exact ⟨P,hP0,hPL,P.vertices_in_block b hPE⟩
84
+
85
+ end
86
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
87
+
88
+ end
89
+
90
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkBetweenSupport.lean ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.ForestTraversal
14
+ open Classical SimpleGraph
15
+ noncomputable section
16
+ variable {V : Type*} {G : SimpleGraph V}
17
+
18
+ lemma walk_between_support {s t u v : V} (p : G.Walk s t)
19
+ (hu : u ∈ p.support) (hv : v ∈ p.support) :
20
+ ∃ q : G.Walk u v,q.length ≤ p.length := by
21
+ obtain ⟨p₁,p₂,hp⟩ := Walk.mem_support_iff_exists_append.mp hu
22
+ have hlen : p₁.length+p₂.length=p.length := by rw [hp,Walk.length_append]
23
+ rw [hp,Walk.mem_support_append_iff] at hv
24
+ rcases hv with hv | hv
25
+ · refine ⟨(p₁.dropUntil v hv).reverse,?_⟩
26
+ rw [Walk.length_reverse,Walk.length_dropUntil]
27
+ omega
28
+ · refine ⟨p₂.takeUntil v hv,?_⟩
29
+ exact (Walk.length_le_of_isSubwalk (p₂.isSubwalk_takeUntil hv)).trans (by omega)
30
+
31
+ end
32
+ end OrdinaryCorrelations.ForestTraversal
33
+
34
+ end
35
+
36
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkSupportConnected.lean ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ConnectedSet
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.Rerooting
14
+ open Classical Finset SimpleGraph
15
+ noncomputable section
16
+ variable {V : Type*} [DecidableEq V] {G : SimpleGraph V}
17
+
18
+ lemma walk_support_connected {x y : V} (p : G.Walk x y) : ConnectedSet G p.support.toFinset := by
19
+ intro u hu v hv
20
+ have hu' := List.mem_toFinset.mp hu
21
+ have hv' := List.mem_toFinset.mp hv
22
+ refine ⟨(p.takeUntil u hu').reverse.append (p.takeUntil v hv'),?_⟩
23
+ intro z hz
24
+ apply List.mem_toFinset.mpr
25
+ rw [Walk.mem_support_append_iff] at hz
26
+ rcases hz with hz|hz
27
+ · exact p.support_takeUntil_subset_support hu' (by simpa using hz)
28
+ · exact p.support_takeUntil_subset_support hv' hz
29
+ end
30
+ end OrdinaryCorrelations.Rerooting
31
+
32
+ end
33
+
34
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WalkVertices.lean ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.UncutTreeEdges
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
14
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
15
+ open Finset Classical SimpleGraph
16
+ noncomputable section
17
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L : ℕ}
18
+
19
+ lemma walk_vertices (w : ClosedLine h ℓ) (hh : 0<h) {E : Finset (Fin ℓ)}
20
+ {u v : ℤ} (p : (edgeGraph w hh E).Walk u v) (hu : u ∈ treeVertices w) :
21
+ ∀ z ∈ p.support,z ∈ treeVertices w := by
22
+ induction p with
23
+ | nil => simpa using hu
24
+ | @cons u v z ha p ih =>
25
+ have hv : v ∈ treeVertices w := by
26
+ obtain ⟨e,he,hor | hrev⟩ := ha
27
+ · rw [hor.2]; exact endpoint_mem_vertices w e
28
+ · rw [hrev.1]; exact departure_mem_vertices w e
29
+ intro x hx
30
+ rcases List.mem_cons.mp hx with rfl | hx
31
+ · exact hu
32
+ · exact ih hv x hx
33
+
34
+ lemma exists_treePath (w : NumericalLine D h ℓ) (hh : 0<h) {E : Finset (Fin ℓ)}
35
+ (hE : E ⊆ w.line.treeSteps) {u v : ℤ} (q : (edgeGraph w.line hh E).Walk u v)
36
+ (hlen : q.length ≤ L) (hu : u ∈ treeVertices w.line) (hne : u≠v) :
37
+ ∃ P : TreePath w L,P.vertex 0=u ∧ P.vertex (Fin.last P.length)=v ∧ ∀ i,P.edge i ∈ E := by
38
+ let p := q.bypass
39
+ have hp : p.IsPath := q.bypass_isPath
40
+ have hpL : p.length ≤ L := q.length_bypass_le_length.trans hlen
41
+ have hp0 : 0<p.length := by
42
+ by_contra hn
43
+ exact hne (Walk.eq_of_length_eq_zero (Nat.eq_zero_of_not_pos hn))
44
+ have hedge : ∀ i : Fin p.length,∃ e ∈ E,
45
+ (p.getVert i.val=w.line.offset e.castSucc ∧ p.getVert (i.val+1)=w.line.offset e.succ) ∨
46
+ (p.getVert (i.val+1)=w.line.offset e.castSucc ∧ p.getVert i.val=w.line.offset e.succ) :=
47
+ fun i => p.adj_getVert_succ i.isLt
48
+ choose edge he hor using hedge
49
+ let vf : Fin (p.length+1) → ℤ := fun i => p.getVert i.val
50
+ let forward : Fin p.length → Bool := fun i => decide (p.getVert i.val=w.line.offset (edge i).castSucc)
51
+ have endpoints (i : Fin p.length) : if forward i then
52
+ vf i.castSucc=w.line.offset (edge i).castSucc ∧ vf i.succ=w.line.offset (edge i).succ
53
+ else vf i.castSucc=w.line.offset (edge i).succ ∧ vf i.succ=w.line.offset (edge i).castSucc := by
54
+ dsimp [forward,vf]
55
+ split_ifs with hi
56
+ · have hi' : p.getVert i.val=w.line.offset (edge i).castSucc := of_decide_eq_true hi
57
+ rcases hor i with hor | hrev
58
+ · exact hor
59
+ · exact (w.line.endpoints_ne hh (edge i) (hi'.symm.trans hrev.2)).elim
60
+ · rcases hor i with hor | hrev
61
+ · exact (hi (decide_eq_true hor.1)).elim
62
+ · exact ⟨hrev.2,hrev.1⟩
63
+ let P : TreePath w L := {
64
+ length := p.length
65
+ length_pos := hp0
66
+ length_le := hpL
67
+ vertex := vf
68
+ distinct := by
69
+ intro i j hij
70
+ apply Fin.ext
71
+ exact hp.getVert_injOn (Nat.le_of_lt_succ i.isLt) (Nat.le_of_lt_succ j.isLt) hij
72
+ vertex_mem := by
73
+ intro i
74
+ have hi := walk_vertices w.line hh p hu _ (p.getVert_mem_support i.val)
75
+ obtain ⟨j,hj,hjv⟩ := mem_image.mp hi
76
+ exact ⟨j,hjv.symm⟩
77
+ edge := edge
78
+ tree := fun i => hE (he i)
79
+ forward := forward
80
+ endpoints := endpoints }
81
+ exact ⟨P,by simp [P,vf],by simp [P,vf],he⟩
82
+
83
+ end
84
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
85
+
86
+ end
87
+
88
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/Witness.lean ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.BoundedLists
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.SourceCylinder
14
+ open Finset Classical
15
+ variable {α ι : Type*} [Fintype α] [Fintype ι] {Ω : ι → Type*} [∀ p, Fintype (Ω p)]
16
+
17
+ abbrev Witness (V : Finset α) (f : α → Cylinder Ω) (t : ℕ) :=
18
+ {I : Intersection (V.image f) // I ∈ witnesses (V.image f) t}
19
+
20
+ omit [Fintype α] in
21
+ lemma exists_witnessGenerator (V : Finset α) (f : α → Cylinder Ω) (t : ℕ)
22
+ (I : Witness V f t) : ∃ l : List α, l.length ≤ t ∧
23
+ (∀ a ∈ l, a ∈ V) ∧ Cylinder.Generates (l.toFinset.image f) I.val.val := by
24
+ obtain ⟨A,hA,hcard,hgen⟩ := (mem_filter.mp I.property).2.2
25
+ let rep : A → α := fun e => Classical.choose (mem_image.mp (hA e.property))
26
+ have hv (e : A) : rep e ∈ V := (Classical.choose_spec (mem_image.mp (hA e.property))).1
27
+ have hf (e : A) : f (rep e)=e.val := (Classical.choose_spec (mem_image.mp (hA e.property))).2
28
+ let l : List α := A.attach.toList.map rep
29
+ have hlen : l.length = A.card := by simp [l]
30
+ have hmem (a : α) (ha : a ∈ l) : a ∈ V := by
31
+ obtain ⟨e,he,rfl⟩ := List.mem_map.mp ha
32
+ exact hv e
33
+ have he : l.toFinset.image f = A := by
34
+ ext c
35
+ constructor
36
+ · intro hc
37
+ obtain ⟨a,ha,rfl⟩ := mem_image.mp hc
38
+ obtain ⟨e,he,rfl⟩ := List.mem_map.mp (List.mem_toFinset.mp ha)
39
+ rw [hf e]
40
+ exact e.property
41
+ · intro hc
42
+ let e : A := ⟨c,hc⟩
43
+ exact mem_image.mpr ⟨rep e,List.mem_toFinset.mpr
44
+ (List.mem_map.mpr ⟨e,mem_toList.mpr (mem_attach A e),rfl⟩),hf e⟩
45
+ exact ⟨l,hlen ▸ hcard,hmem,he.symm ▸ hgen⟩
46
+
47
+ noncomputable def witnessGenerator (V : Finset α) (f : α → Cylinder Ω) (t : ℕ)
48
+ (I : Witness V f t) : List α := Classical.choose (exists_witnessGenerator V f t I)
49
+
50
+ omit [Fintype α] in
51
+ lemma witnessGenerator_spec (V : Finset α) (f : α → Cylinder Ω) (t : ℕ)
52
+ (I : Witness V f t) : (witnessGenerator V f t I).length ≤ t ∧
53
+ (∀ a ∈ witnessGenerator V f t I, a ∈ V) ∧
54
+ Cylinder.Generates ((witnessGenerator V f t I).toFinset.image f) I.val.val :=
55
+ Classical.choose_spec (exists_witnessGenerator V f t I)
56
+
57
+ omit [Fintype α] in
58
+ lemma witnessGenerator_injective (V : Finset α) (f : α → Cylinder Ω) (t : ℕ) :
59
+ Function.Injective (witnessGenerator V f t) := by
60
+ intro I J he
61
+ apply Subtype.ext
62
+ apply Subtype.ext
63
+ exact Cylinder.generates_unique (witnessGenerator_spec V f t I).2.2
64
+ (by simpa only [he] using (witnessGenerator_spec V f t J).2.2)
65
+
66
+ omit [Fintype α] in
67
+ lemma witnessGenerator_holds (V : Finset α) (f : α → Cylinder Ω) (t : ℕ)
68
+ (I : Witness V f t) (x : ∀ p, Ω p) (hx : I.val.val.Holds x) :
69
+ ∀ a ∈ witnessGenerator V f t I, a ∈ V ∧ (f a).Holds x := by
70
+ intro a ha
71
+ refine ⟨(witnessGenerator_spec V f t I).2.1 a ha,?_⟩
72
+ apply Cylinder.holds_mono _ hx
73
+ exact (witnessGenerator_spec V f t I).2.2.1 (f a)
74
+ (mem_image.mpr ⟨a,List.mem_toFinset.mpr ha,rfl⟩)
75
+
76
+ omit [Fintype α] in
77
+ lemma witnessCount_eq_sum (V : Finset α) (f : α → Cylinder Ω) (t : ℕ) (x : ∀ p, Ω p) :
78
+ (witnessCount (V.image f) t x : ℝ) =
79
+ ∑ I : Witness V f t, if I.val.val.Holds x then (1:ℝ) else 0 := by
80
+ rw [witnessCount,card_eq_sum_ones,Nat.cast_sum]
81
+ simp only [Nat.cast_one,sum_filter]
82
+ exact sum_subtype (witnesses (V.image f) t) (fun _ => Iff.rfl)
83
+ (fun I : Intersection (V.image f) => if I.val.Holds x then (1:ℝ) else 0)
84
+
85
+ theorem witnessCount_le_list_sum (V : Finset α) (f : α → Cylinder Ω) (t : ℕ)
86
+ (x : ∀ p, Ω p) (F : List α → ℝ) (hF : ∀ l, 0 ≤ F l)
87
+ (hI : ∀ I : Witness V f t, I.val.val.Holds x → 1 ≤ F (witnessGenerator V f t I)) :
88
+ (witnessCount (V.image f) t x : ℝ) ≤ ∑ l ∈ boundedLists α t, F l := by
89
+ rw [witnessCount_eq_sum V f]
90
+ calc
91
+ _ ≤ ∑ I : Witness V f t, F (witnessGenerator V f t I) := by
92
+ apply sum_le_sum
93
+ intro I hmem
94
+ split_ifs with hx
95
+ · exact hI I hx
96
+ · exact hF _
97
+ _ ≤ _ := by
98
+ rw [← sum_image (fun x _ y _ he => witnessGenerator_injective V f t he)]
99
+ apply sum_le_sum_of_subset_of_nonneg
100
+ · intro l hl
101
+ obtain ⟨I,hI,rfl⟩ := mem_image.mp hl
102
+ exact (mem_boundedLists _ _).mpr (witnessGenerator_spec V f t I).1
103
+ · intro l hl hnot
104
+ exact hF l
105
+
106
+ end OrdinaryCorrelations.SourceCylinder
107
+
108
+ end
109
+
110
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessBaseDoublePath.lean ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SourceWitnessBasicScales
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.PackedGapPrefactor
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.ComponentBoundAfterGap
4
+
5
+ namespace OAI
6
+
7
+ noncomputable section
8
+ open scoped BigOperators
9
+ open Finset
10
+ open Finset Classical
11
+ open Filter
12
+ open Finset Classical Filter
13
+ open scoped Topology
14
+
15
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
16
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.FiniteIntegration
17
+ open OrdinaryCorrelations.NumericalSubtrees Finset Classical Filter
18
+ noncomputable section
19
+
20
+ lemma witness_base_double_path (S : PrimeSystem) (M ℓ L J t : ℕ) :
21
+ witnessEntropyBase S M ℓ (L+L) J t ≤ 2*witnessEntropyBase S M ℓ L J t := by
22
+ unfold witnessEntropyBase witnessSlotCount
23
+ rw [WitnessConfiguration.codeSlot_card,WitnessConfiguration.codeSlot_card]
24
+ push_cast
25
+ have hH : 0 ≤ max 1 (∑ p ∈ S.primes,(p:ℝ)⁻¹) := le_trans (by norm_num) (le_max_left _ _)
26
+ have hA := A_pos
27
+ have hM := Nat.cast_nonneg (α:=ℝ) M
28
+ have hℓ := Nat.cast_nonneg (α:=ℝ) ℓ
29
+ have hL := Nat.cast_nonneg (α:=ℝ) L
30
+ have hJ := Nat.cast_nonneg (α:=ℝ) J
31
+ have ht := Nat.cast_nonneg (α:=ℝ) t
32
+ nlinarith
33
+ lemma witness_degree_double_path (M ℓ L J t : ℕ) :
34
+ witnessEntropyDegree M ℓ (L+L) J t ≤ 2*witnessEntropyDegree M ℓ L J t := by
35
+ unfold witnessEntropyDegree witnessSlotCount
36
+ rw [WitnessConfiguration.codeSlot_card,WitnessConfiguration.codeSlot_card]
37
+ nlinarith
38
+
39
+ namespace NumericalLine
40
+ lemma source_double_path_prefactor (C₀ : ℝ) (hC₀ : 0≤C₀) :
41
+ ∀ᶠ B : ℝ in atTop,
42
+ packedGapPrefactor (sourceSystem B) (sourceLength B) (pathLength B+pathLength B)
43
+ ⌈C₀*Real.log B⌉₊ (listCutoff B) ≤ Real.exp (B^(1+epsilon/2)) := by
44
+ have hlim := (isLittleO_log_rpow_atTop (by norm_num [epsilon] : 0<epsilon/4)).tendsto_div_nhds_zero
45
+ filter_upwards [source_witness_entropy_scales C₀ hC₀,
46
+ hlim.eventually (eventually_le_nhds (by norm_num : (0:ℝ)<1/6)),
47
+ eventually_ge_atTop (2:ℝ)] with B hs hlog hB
48
+ have hB1 : 1≤B := by linarith
49
+ have hB0 : 0<B := by linarith
50
+ let M := sourceListSlotBudget C₀ B
51
+ let ℓ := sourceLength B
52
+ let L := pathLength B
53
+ let J := ⌈C₀*Real.log B⌉₊
54
+ let t := listCutoff B
55
+ have hbase0 : 0≤witnessEntropyBase (sourceSystem B) M ℓ (L+L) J t := by
56
+ unfold witnessEntropyBase
57
+ have := A_pos
58
+ positivity
59
+ have hbase : witnessEntropyBase (sourceSystem B) M ℓ (L+L) J t ≤ B^3 := by
60
+ calc
61
+ _ ≤ 2*witnessEntropyBase (sourceSystem B) M ℓ L J t := witness_base_double_path ..
62
+ _ ≤ 2*(B^2) := mul_le_mul_of_nonneg_left hs.2 (by norm_num)
63
+ _ ≤ B^3 := by nlinarith [sq_nonneg B]
64
+ have hdegree : (witnessEntropyDegree M ℓ (L+L) J t:ℝ) ≤ 2*B^(1+epsilon/4) := by
65
+ calc
66
+ _ ≤ ((2*witnessEntropyDegree M ℓ L J t:ℕ):ℝ) := Nat.cast_le.mpr (witness_degree_double_path ..)
67
+ _ ≤ _ := by push_cast; exact mul_le_mul_of_nonneg_left hs.1 (by norm_num)
68
+ apply (packed_gap_polynomial_bound (sourceSystem B) M ℓ (L+L) J t).trans
69
+ apply (pow_le_pow_left₀ hbase0 hbase _).trans
70
+ rw [←Real.rpow_natCast,Real.rpow_def_of_pos (pow_pos hB0 3),Real.log_pow]
71
+ apply Real.exp_le_exp.mpr
72
+ have hlog0 := Real.log_nonneg hB1
73
+ have hl := (div_le_iff₀ (Real.rpow_pos_of_pos hB0 (epsilon/4))).mp hlog
74
+ have hd := mul_le_mul hdegree hl hlog0 (by positivity : 0≤2*B^(1+epsilon/4))
75
+
76
+ have hid' : (2*B^(1+epsilon/4))*((1/6)*B^(epsilon/4))=(1/3)*B^(1+epsilon/2) := by
77
+ calc
78
+ _ = (1/3)*(B^(1+epsilon/4)*B^(epsilon/4)) := by ring
79
+ _ = _ := by rw [←Real.rpow_add hB0]; congr 2; ring
80
+ rw [hid'] at hd
81
+ norm_num only [Nat.cast_ofNat] at *
82
+ nlinarith
83
+
84
+ lemma source_disconnected_threshold (C₀ : ℝ) (hC₀ : 0≤C₀) :
85
+ ∀ᶠ B : ℝ in atTop,
86
+ (((((2*sourceLength B)/pathLength B+6*listCutoff B+1)^2)*
87
+ ((2*⌈C₀*Real.log B⌉₊+1)*listCutoff B)^8:ℕ):ℝ) ≤ B^(1-2*rho) := by
88
+ filter_upwards [source_component_budget,source_witness_basic_scales C₀ hC₀,
89
+ eventually_const_mul_rpow_le (2*rho+8*(epsilon/8+4*epsilon)) (1-2*rho)
90
+ (32^2*6^8) (by norm_num [rho,epsilon])] with B hcomp hs hdom
91
+ obtain ⟨hB,hM,htL,ht,hJ,hH⟩ := hs
92
+ have hB0 : 0<B := zero_lt_one.trans_le hB
93
+ have ht' := ceil_rpow_le_two B (4*epsilon) hB (by norm_num [epsilon])
94
+ have hJ1 : 1≤B^(epsilon/8) := Real.one_le_rpow hB (by norm_num [epsilon])
95
+ have hn : (((2*⌈C₀*Real.log B⌉₊+1)*listCutoff B:ℕ):ℝ) ≤ 6*B^(epsilon/8+4*epsilon) := by
96
+ push_cast
97
+ calc
98
+ _ ≤ (3*B^(epsilon/8))*(2*B^(4*epsilon)) := mul_le_mul (by linarith) ht' (Nat.cast_nonneg _) (by positivity)
99
+ _ = _ := by rw [Real.rpow_add hB0]; ring
100
+ have hq := pow_le_pow_left₀ (Nat.cast_nonneg (α:=ℝ) _) hcomp.2 2
101
+ have hn8 := pow_le_pow_left₀ (Nat.cast_nonneg (α:=ℝ) _) hn 8
102
+ have hmul := mul_le_mul hq hn8 (by positivity) (by positivity)
103
+ have he : (32*B^rho)^2*(6*B^(epsilon/8+4*epsilon))^8 =
104
+ (32^2*6^8)*B^(2*rho+8*(epsilon/8+4*epsilon)) := by
105
+ have hp2 : (B^rho)^2 = B^(rho*2) := by
106
+ rw [Real.rpow_mul hB0.le]
107
+ norm_num
108
+ have hp8 : (B^(epsilon/8+4*epsilon))^8 = B^((epsilon/8+4*epsilon)*8) := by
109
+ rw [Real.rpow_mul hB0.le]
110
+ norm_num
111
+ rw [mul_pow,mul_pow,hp2,hp8]
112
+ calc
113
+ _ = (32^2*6^8)*(B^(rho*2)*B^((epsilon/8+4*epsilon)*8)) := by ring
114
+ _ = _ := by rw [←Real.rpow_add hB0]; congr 2; ring
115
+ rw [he] at hmul
116
+ exact le_trans (by simpa only [Nat.cast_mul,Nat.cast_pow] using hmul) hdom
117
+
118
+ end NumericalLine
119
+ end
120
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
121
+
122
+ end
123
+
124
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessConfiguration.lean ADDED
@@ -0,0 +1,149 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.GlobalRecord
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.DataInjective
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.LinePrimeMemFullUsed
4
+
5
+ namespace OAI
6
+
7
+ noncomputable section
8
+ open scoped BigOperators
9
+ open Finset
10
+ open Finset Classical
11
+ open Filter
12
+ open Finset Classical Filter
13
+ open scoped Topology
14
+
15
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
16
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
17
+ open Finset Classical
18
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L t : ℕ}
19
+
20
+ structure WitnessConfiguration (D : S.DivisorFamily B τ C₀) (h ℓ L t : ℕ) where
21
+ line : ClosedLine h ℓ
22
+ labels : ∀ i, line.label i ∈ D.members
23
+ primitives : List (AttachedSpec line D L)
24
+ length_le : primitives.length ≤ t
25
+ family : PrivateFamily line D L t
26
+
27
+ abbrev WitnessCodeSlot (ℓ L J t : ℕ) :=
28
+ (Fin ℓ × Fin J) ⊕ (ListCodeSlot L J t ⊕ ((Fin t × SpecCodeSlot L J) ⊕ Fin t))
29
+
30
+ abbrev WitnessMetadata (ℓ L t : ℕ) :=
31
+ (Fin ℓ → Bool) × ListMetadata ℓ L t × (Fin t → AttachedMetadata ℓ L)
32
+
33
+ namespace WitnessConfiguration
34
+ variable (x : WitnessConfiguration D h ℓ L t)
35
+
36
+ noncomputable def metadata : WitnessMetadata ℓ L t :=
37
+ (signBit x.line,listMetadata x.line x.primitives t x.length_le,
38
+ fun j => attachedMetadata x.line (x.family.witness j))
39
+
40
+ noncomputable def primeCode : WitnessCodeSlot ℓ L ⌈C₀*Real.log B⌉₊ t → Option S.Index
41
+ | .inl (i,j) => FiniteSlotEncoding.code (labelPrimeSet (x.line.label i) (x.labels i)) ⌈C₀*Real.log B⌉₊ j
42
+ | .inr (.inl k) => listPrimeCode x.line x.primitives t k
43
+ | .inr (.inr (.inl (j,k))) => specPrimeCode (x.family.witness j).spec k
44
+ | .inr (.inr (.inr j)) => some (x.family.key j)
45
+
46
+ noncomputable def rawCode := (x.metadata,x.primeCode)
47
+
48
+ lemma rawCode_injective : Function.Injective
49
+ (rawCode : WitnessConfiguration D h ℓ L t → _) := by
50
+ intro x y he
51
+ have hm := congrArg Prod.fst he
52
+ have hp := congrArg Prod.snd he
53
+ have hline : x.line=y.line := by
54
+ apply GlobalRecord.line_eq_of_labels_signs
55
+ · funext i
56
+ have hsets : labelPrimeSet (x.line.label i) (x.labels i)=
57
+ labelPrimeSet (y.line.label i) (y.labels i) := by
58
+ apply FiniteSlotEncoding.code_injective (m:=⌈C₀*Real.log B⌉₊)
59
+ · rw [labelPrimeSet_card]; exact D.omega _ (x.labels i)
60
+ · rw [labelPrimeSet_card]; exact D.omega _ (y.labels i)
61
+ · funext j
62
+ exact congrFun hp (.inl (i,j))
63
+ rw [←labelPrimeSet_product (x.line.label i) (x.labels i),
64
+ ←labelPrimeSet_product (y.line.label i) (y.labels i),hsets]
65
+ · funext i
66
+ have hs : signBit x.line i=signBit y.line i :=
67
+ congrArg (fun z : WitnessMetadata ℓ L t => z.1 i) hm
68
+ rw [signBit_decode x.line i,signBit_decode y.line i,hs]
69
+ cases x with
70
+ | mk w hw l hl F =>
71
+ cases y with
72
+ | mk v hv m hm' G =>
73
+ dsimp only at hline
74
+ subst v
75
+ have hlist : l=m := list_code_injective w l m t hl hm'
76
+ (congrArg (fun z : WitnessMetadata ℓ L t => z.2.1) hm)
77
+ (funext (fun k => congrFun hp (.inr (.inl k))))
78
+ subst m
79
+ have hfamily : F=G := by
80
+ apply PrivateFamily.data_injective
81
+ apply Prod.ext
82
+ · funext j
83
+ apply attached_code_injective w
84
+ · exact congrArg (fun z : WitnessMetadata ℓ L t => z.2.2 j) hm
85
+ · funext k
86
+ exact congrFun hp (.inr (.inr (.inl (j,k))))
87
+ · funext j
88
+ exact Option.some.inj (congrFun hp (.inr (.inr (.inr j))))
89
+ subst G
90
+ rfl
91
+
92
+ instance : Finite (WitnessConfiguration D h ℓ L t) :=
93
+ Finite.of_injective _ rawCode_injective
94
+
95
+ noncomputable instance : Fintype (WitnessConfiguration D h ℓ L t) := Fintype.ofFinite _
96
+
97
+ lemma primeCode_support (p : S.Index) :
98
+ (∃ k, x.primeCode k=some p) ↔ p ∈ fullUsedIndices x.line (x.primitives++List.ofFn x.family.witness) := by
99
+ constructor
100
+ · rintro ⟨(⟨i,j⟩ | (k | (⟨j,k⟩ | j))),hp⟩
101
+ · have hm := FiniteSlotEncoding.code_mem _ _ j p hp
102
+ exact line_prime_mem_fullUsed x.line _ p ((mem_labelPrimeSet _ _ _).mp hm)
103
+ · have hm := (listPrimeCode_support x.line x.primitives t x.length_le p).mpr ⟨k,hp⟩
104
+ obtain ⟨s,hs,hm⟩ := mem_biUnion.mp hm
105
+ exact list_prime_mem_fullUsed x.line _ s
106
+ (List.mem_append_left _ (List.mem_toFinset.mp hs)) p hm
107
+ · exact list_prime_mem_fullUsed x.line _ (x.family.witness j)
108
+ (List.mem_append_right _ (List.mem_ofFn.mpr ⟨j,rfl⟩)) p
109
+ ((specPrimeCode_support (x.family.witness j).spec p).mpr ⟨k,hp⟩)
110
+ · have he : x.family.key j=p := Option.some.inj hp
111
+ exact he ▸ list_prime_mem_fullUsed x.line _ (x.family.witness j)
112
+ (List.mem_append_right _ (List.mem_ofFn.mpr ⟨j,rfl⟩)) (x.family.key j) (x.family.key_mem j)
113
+ · intro hp
114
+ rcases (mem_filter.mp hp).2 with ⟨i,hi⟩|hp
115
+ · have hc : (labelPrimeSet (x.line.label i) (x.labels i)).card ≤ ⌈C₀*Real.log B⌉₊ := by
116
+ rw [labelPrimeSet_card]; exact D.omega _ (x.labels i)
117
+ have hm : p ∈ labelPrimeSet (x.line.label i) (x.labels i) :=
118
+ (mem_labelPrimeSet _ _ _).mpr
119
+ (Nat.mem_primeFactors.mpr ⟨S.prime_mem p p.property,hi,(x.line.label_pos i).ne'⟩)
120
+ obtain ⟨j,hj⟩ := (FiniteSlotEncoding.mem_iff_code _ _ hc p).mp hm
121
+ exact ⟨.inl (i,j),hj⟩
122
+ · obtain ⟨s,hs,hp⟩ := mem_biUnion.mp hp
123
+ rcases List.mem_append.mp (List.mem_toFinset.mp hs) with hs|hs
124
+ · obtain ⟨k,hk⟩ := (listPrimeCode_support x.line x.primitives t x.length_le p).mp
125
+ (mem_biUnion.mpr ⟨s,List.mem_toFinset.mpr hs,hp⟩)
126
+ exact ⟨.inr (.inl k),hk⟩
127
+ · obtain ⟨j,rfl⟩ := List.mem_ofFn.mp hs
128
+ obtain ⟨k,hk⟩ := (specPrimeCode_support (x.family.witness j).spec p).mp hp
129
+ exact ⟨.inr (.inr (.inl (j,k))),hk⟩
130
+
131
+ lemma codeSlot_card (ℓ L J t : ℕ) :
132
+ Fintype.card (WitnessCodeSlot ℓ L J t)=ℓ*J+2*t*(L*J+1)+t := by
133
+ simp only [WitnessCodeSlot,ListCodeSlot,SpecCodeSlot,Fintype.card_sum,Fintype.card_prod,
134
+ Fintype.card_option,Fintype.card_fin]
135
+ ring
136
+
137
+ lemma metadata_card (ℓ L t : ℕ) :
138
+ Fintype.card (WitnessMetadata ℓ L t)=
139
+ 2^ℓ*((t+1)*(1+(ℓ+1)*((L+1)^2*2^L))^t)*((ℓ+1)*((L+1)^2*2^L))^t := by
140
+ simp only [WitnessMetadata,Fintype.card_prod,Fintype.card_fun,Fintype.card_fin,Fintype.card_bool,
141
+ ListMetadata,AttachedMetadata,SpecMetadata,Fintype.card_option]
142
+ ring
143
+
144
+ end WitnessConfiguration
145
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
146
+
147
+ end
148
+
149
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessEntropyBase.lean ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.CylinderBudget
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WitnessSlotCount
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.SignedTrace
16
+ open Finset Classical
17
+
18
+ noncomputable def witnessEntropyBase (S : PrimeSystem) (M ℓ L J t : ℕ) : ℝ :=
19
+ 2+A+M+ℓ+L+t+witnessSlotCount ℓ L J t + max 1 (∑ p ∈ S.primes,(p:ℝ)⁻¹)
20
+
21
+ noncomputable def witnessEntropyDegree (M ℓ L J t : ℕ) : ℕ :=
22
+ 2*M+ℓ*J+3*witnessSlotCount ℓ L J t+ℓ+2*t*(L+10)+4
23
+
24
+ lemma add_one_le_pow_succ {Q x : ℝ} {n : ℕ} (hQ : 2 ≤ Q) (hx : x ≤ Q^n) :
25
+ x+1 ≤ Q^(n+1) := by
26
+ have hpow : 1 ≤ Q^n := one_le_pow₀ (by linarith)
27
+ rw [pow_succ]
28
+ nlinarith
29
+
30
+ lemma witness_polynomial_bound (S : PrimeSystem) (M ℓ L J t : ℕ) :
31
+ cylinderBudget M * (A^(ℓ*J)*2^(witnessSlotCount ℓ L J t)) *
32
+ (witnessTemplateBudget ℓ L J t:ℝ) *
33
+ (max 1 (∑ p ∈ S.primes,(p:ℝ)⁻¹))^(witnessSlotCount ℓ L J t) ≤
34
+ witnessEntropyBase S M ℓ L J t ^ witnessEntropyDegree M ℓ L J t := by
35
+ let N := witnessSlotCount ℓ L J t
36
+ let H : ℝ := max 1 (∑ p ∈ S.primes,(p:ℝ)⁻¹)
37
+ let Q := witnessEntropyBase S M ℓ L J t
38
+ have hH : 1 ≤ H := le_max_left _ _
39
+ have hA := A_pos
40
+ have hM := Nat.cast_nonneg (α:=ℝ) M
41
+ have hℓ := Nat.cast_nonneg (α:=ℝ) ℓ
42
+ have hL := Nat.cast_nonneg (α:=ℝ) L
43
+ have ht := Nat.cast_nonneg (α:=ℝ) t
44
+ have hN := Nat.cast_nonneg (α:=ℝ) N
45
+ have hQ : 2 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
46
+ have hQA : A ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
47
+ have hQM : (M:ℝ) ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
48
+ have hQℓ : (ℓ:ℝ)+1 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
49
+ have hQL : (L:ℝ)+1 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
50
+ have hQt : (t:ℝ)+1 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
51
+ have hQN : (N:ℝ)+1 ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
52
+ have hQH : H ≤ Q := by dsimp [Q,witnessEntropyBase]; dsimp only [H,N] at *; linarith
53
+ have hQ0 : 0 ≤ Q := by linarith
54
+ have hcyl : cylinderBudget M ≤ Q^(2*M+1) := by
55
+ unfold cylinderBudget
56
+ push_cast
57
+ calc
58
+ _ ≤ Q^M * Q^(M+1) := by
59
+ apply mul_le_mul (pow_le_pow_left₀ (by norm_num) hQ _) _ (by positivity) (pow_nonneg hQ0 _)
60
+ apply max_le
61
+ · exact one_le_pow₀ (by linarith)
62
+ · exact pow_le_pow_left₀ hM hQM _
63
+ _ = _ := by rw [←pow_add]; congr 1; omega
64
+ have hcore : ((ℓ:ℝ)+1)*(((L:ℝ)+1)^2*2^L) ≤ Q^(L+3) := by
65
+ calc
66
+ _ ≤ Q*(Q^2*Q^L) := by gcongr
67
+ _ = _ := by rw [show L+3=L+2+1 by omega,pow_succ,pow_add]; ring
68
+ have hcore1 : 1+((ℓ:ℝ)+1)*(((L:ℝ)+1)^2*2^L) ≤ Q^(L+4) := by
69
+ simpa only [show L+4=(L+3)+1 by omega,add_comm (1:ℝ)] using add_one_le_pow_succ hQ hcore
70
+ have hmeta : (Fintype.card (WitnessMetadata ℓ L t):ℝ) ≤ Q^(ℓ+1+2*t*(L+4)) := by
71
+ rw [WitnessConfiguration.metadata_card]
72
+ push_cast
73
+ calc
74
+ _ ≤ Q^ℓ*(Q*(Q^(L+4))^t)*(Q^(L+4))^t := by
75
+ apply mul_le_mul
76
+ · apply mul_le_mul (pow_le_pow_left₀ (by norm_num) hQ _) _ (by positivity) (pow_nonneg hQ0 _)
77
+ exact mul_le_mul hQt (pow_le_pow_left₀ (by positivity) hcore1 _) (by positivity) hQ0
78
+ · exact pow_le_pow_left₀ (by positivity) (hcore.trans (pow_le_pow_right₀ (by linarith) (by omega))) _
79
+ · positivity
80
+ · positivity
81
+ _ = _ := by ring
82
+ have hdesc : (Fintype.card (WitnessTestDescriptor ℓ L t N):ℝ) ≤ Q^11 := by
83
+ rw [WitnessTemplateCode.descriptor_card]
84
+ push_cast
85
+ calc
86
+ _ ≤ (Q^2*Q*Q^3*Q^2)*Q^2*Q := by
87
+ gcongr <;> linarith
88
+ _ = _ := by ring
89
+ have hdesc1 : (Fintype.card (WitnessTestDescriptor ℓ L t N):ℝ)+1 ≤ Q^12 :=
90
+ add_one_le_pow_succ hQ hdesc
91
+ have hbudget : (witnessTemplateBudget ℓ L J t:ℝ) ≤
92
+ Q^(N+ℓ+2*t*(L+10)+3) := by
93
+ unfold witnessTemplateBudget
94
+ change (((N+1)*Fintype.card (WitnessMetadata ℓ L t)*(N+1)^N*
95
+ ((t+1)*(Fintype.card (WitnessTestDescriptor ℓ L t N)+1)^t):ℕ):ℝ) ≤ _
96
+ push_cast
97
+ calc
98
+ _ ≤ Q*Q^(ℓ+1+2*t*(L+4))*Q^N*(Q*(Q^12)^t) := by
99
+ gcongr
100
+ _ = _ := by ring
101
+ apply (mul_le_mul (mul_le_mul (mul_le_mul hcyl
102
+ (mul_le_mul (pow_le_pow_left₀ hA.le hQA _) (pow_le_pow_left₀ (by norm_num) hQ _)
103
+ (by positivity) (pow_nonneg hQ0 _)) (by positivity) (pow_nonneg hQ0 _))
104
+ hbudget (Nat.cast_nonneg _) (by positivity))
105
+ (pow_le_pow_left₀ (zero_le_one.trans hH) hQH _) (by positivity) (by positivity)).trans_eq
106
+ unfold witnessEntropyDegree
107
+ change Q^(2*M+1)*(Q^(ℓ*J)*Q^N)*Q^(N+��+2*t*(L+10)+3)*Q^N = _
108
+ simp only [←pow_add]
109
+ congr 1
110
+ dsimp only [N]
111
+ omega
112
+
113
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
114
+
115
+ end
116
+
117
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessSlotCount.lean ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.UnselectedCard
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WitnessTestDescriptor
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.ArithmeticSaving OrdinaryCorrelations.SharedSlotPatterns
16
+ open Finset Classical
17
+
18
+ noncomputable def witnessSlotCount (ℓ L J t : ℕ) : ℕ := Fintype.card (WitnessCodeSlot ℓ L J t)
19
+ noncomputable def witnessTemplateBudget (ℓ L J t : ℕ) : ℕ :=
20
+ let N := witnessSlotCount ℓ L J t
21
+ (N+1)*Fintype.card (WitnessMetadata ℓ L t)*(N+1)^N *
22
+ ((t+1)*(Fintype.card (WitnessTestDescriptor ℓ L t N)+1)^t)
23
+
24
+ lemma witnessTemplate_card_uniform (ℓ L J t m : ℕ) (hm : m ≤ witnessSlotCount ℓ L J t) :
25
+ Fintype.card (WitnessTemplateCode ℓ L J t m) ≤
26
+ Fintype.card (WitnessMetadata ℓ L t)*(witnessSlotCount ℓ L J t+1)^(witnessSlotCount ℓ L J t)*
27
+ ((t+1)*(Fintype.card (WitnessTestDescriptor ℓ L t (witnessSlotCount ℓ L J t))+1)^t) := by
28
+ apply (WitnessTemplateCode.card_le ℓ L J t m).trans
29
+ have hc : Fintype.card (WitnessTestDescriptor ℓ L t m) ≤
30
+ Fintype.card (WitnessTestDescriptor ℓ L t (witnessSlotCount ℓ L J t)) := by
31
+ rw [WitnessTemplateCode.descriptor_card,WitnessTemplateCode.descriptor_card]
32
+ gcongr
33
+ change _ ≤ Fintype.card (WitnessMetadata ℓ L t)*
34
+ (witnessSlotCount ℓ L J t+1)^(Fintype.card (WitnessCodeSlot ℓ L J t))*_
35
+ gcongr
36
+
37
+ abbrev GoodWitnessTemplate (h ℓ L J t m r : ℕ) :=
38
+ {d : WitnessTemplateCode ℓ L J t m // d.WellFormed h ∧ r ≤ d.rank}
39
+
40
+ noncomputable def witnessTemplateMass (S : PrimeSystem) (P K : ℝ) (h ℓ L J t r : ℕ) : ℝ :=
41
+ ∑ m : Fin (witnessSlotCount ℓ L J t+1),
42
+ ∑ d : GoodWitnessTemplate h ℓ L J t m.val r,
43
+ ∑ v : Fin m.val → S.Index,
44
+ (d.val.system h d.property.1).fiberWeight P K (fun a => (v a:ℕ))
45
+
46
+ lemma witnessTemplateMass_le (S : PrimeSystem) (P B K : ℝ) (h ℓ L J t r : ℕ)
47
+ (hP : 0 < P) (hB : 0 ≤ B) (hK : 0 ≤ K)
48
+ (hS : ∀ p : S.Index, P ≤ (p:ℝ) ∧ (p:ℝ) ≤ Real.exp B)
49
+ (hδ : max (K/(P*Real.log 2)) ((2+B)/P) ≤ 1) :
50
+ witnessTemplateMass S P K h ℓ L J t r ≤
51
+ (witnessTemplateBudget ℓ L J t:ℝ) *
52
+ (max 1 (∑ p ∈ S.primes, (p:ℝ)⁻¹))^(witnessSlotCount ℓ L J t) *
53
+ (max (K/(P*Real.log 2)) ((2+B)/P))^r := by
54
+ let N := witnessSlotCount ℓ L J t
55
+ let H : ℝ := max 1 (∑ p ∈ S.primes, (p:ℝ)⁻¹)
56
+ let δ : ℝ := max (K/(P*Real.log 2)) ((2+B)/P)
57
+ let C : ℕ := Fintype.card (WitnessMetadata ℓ L t)*(N+1)^N *
58
+ ((t+1)*(Fintype.card (WitnessTestDescriptor ℓ L t N)+1)^t)
59
+ have h0δ : 0 ≤ δ := le_trans (by positivity : 0 ≤ (2+B)/P) (le_max_right _ _)
60
+ have hH : 1 ≤ H := le_max_left _ _
61
+ have h0H : 0 ≤ H := le_trans zero_le_one hH
62
+ have hrow (m : Fin (N+1)) (d : GoodWitnessTemplate h ℓ L J t m.val r) :
63
+ (∑ v : Fin m.val → S.Index,
64
+ (d.val.system h d.property.1).fiberWeight P K (fun a => (v a:ℕ))) ≤ H^N*δ^r := by
65
+ apply ((d.val.system h d.property.1).fiber_sum_le S.primes P B K hP hB hK
66
+ (fun p hp => ⟨S.prime_mem p hp,(hS ⟨p,hp⟩).1,(hS ⟨p,hp⟩).2⟩)).trans
67
+ apply mul_le_mul
68
+ · apply (pow_le_pow_left₀ (by positivity) (le_max_right (1:ℝ) _) _).trans
69
+ apply pow_le_pow_right₀ hH
70
+ rw [unselected_card,Fintype.card_fin]
71
+ omega
72
+ · exact pow_le_pow_of_le_one h0δ hδ d.property.2
73
+ · positivity
74
+ · positivity
75
+ have hcodes (m : Fin (N+1)) :
76
+ (∑ d : GoodWitnessTemplate h ℓ L J t m.val r,
77
+ ∑ v : Fin m.val → S.Index,
78
+ (d.val.system h d.property.1).fiberWeight P K (fun a => (v a:ℕ))) ≤
79
+ (C:ℝ)*(H^N*δ^r) := by
80
+ calc
81
+ _ ≤ ∑ _ : GoodWitnessTemplate h ℓ L J t m.val r, H^N*δ^r :=
82
+ sum_le_sum (fun d _ => hrow m d)
83
+ _ = (Fintype.card (GoodWitnessTemplate h ℓ L J t m.val r):ℝ)*(H^N*δ^r) := by simp
84
+ _ ≤ _ := by
85
+ apply mul_le_mul_of_nonneg_right _ (mul_nonneg (pow_nonneg h0H _) (pow_nonneg h0δ _))
86
+ exact_mod_cast (Fintype.card_subtype_le _).trans
87
+ (witnessTemplate_card_uniform ℓ L J t m.val (Nat.lt_succ_iff.mp m.isLt))
88
+ calc
89
+ _ ≤ ∑ _ : Fin (N+1), (C:ℝ)*(H^N*δ^r) := sum_le_sum (fun m _ => hcodes m)
90
+ _ = ((N+1:ℕ):ℝ)*(C:ℝ)*(H^N*δ^r) := by simp [mul_assoc]
91
+ _ = _ := by
92
+ dsimp only [witnessTemplateBudget,C,N,H,δ]
93
+ push_cast
94
+ ring
95
+
96
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
97
+
98
+ end
99
+
100
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessTestDescriptor.lean ADDED
@@ -0,0 +1,139 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WitnessTestShape
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.OfRelabel
3
+
4
+ namespace OAI
5
+
6
+ noncomputable section
7
+ open scoped BigOperators
8
+ open Finset
9
+ open Finset Classical
10
+ open Filter
11
+ open Finset Classical Filter
12
+ open scoped Topology
13
+
14
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
15
+ open OrdinaryCorrelations.ArithmeticSaving OrdinaryCorrelations.SharedSlotPatterns
16
+ open Finset Classical
17
+
18
+ abbrev WitnessTestDescriptor (ℓ L t m : ℕ) := WitnessTestShape ℓ L t × Fin m × Fin m × Bool
19
+ abbrev WitnessTemplateCode (ℓ L J t m : ℕ) :=
20
+ WitnessMetadata ℓ L t × (WitnessCodeSlot ℓ L J t → Option (Fin m)) ×
21
+ ((k : Fin (t+1)) × (Fin k.val → WitnessTestDescriptor ℓ L t m))
22
+
23
+ noncomputable instance (ℓ L J t m : ℕ) : Fintype (WitnessTemplateCode ℓ L J t m) := by
24
+ haveI : Fintype (WitnessMetadata ℓ L t) := inferInstance
25
+ haveI : Fintype (WitnessCodeSlot ℓ L J t → Option (Fin m)) := inferInstance
26
+ haveI : Fintype (WitnessTestDescriptor ℓ L t m) := inferInstance
27
+ haveI : ∀ k : Fin (t+1), Fintype (Fin k.val → WitnessTestDescriptor ℓ L t m) :=
28
+ fun k => inferInstance
29
+ haveI : Fintype ((k : Fin (t+1)) × (Fin k.val → WitnessTestDescriptor ℓ L t m)) := inferInstance
30
+ unfold WitnessTemplateCode
31
+ infer_instance
32
+
33
+ namespace WitnessTemplateCode
34
+ variable {ℓ L J t m : ℕ}
35
+ noncomputable def rank (d : WitnessTemplateCode ℓ L J t m) : ℕ := d.2.2.1.val
36
+ noncomputable def selected (d : WitnessTemplateCode ℓ L J t m) (i : Fin d.rank) : Fin m :=
37
+ (d.2.2.2 i).2.1
38
+ noncomputable def modulus (d : WitnessTemplateCode ℓ L J t m) (i : Fin d.rank) : Fin m :=
39
+ (d.2.2.2 i).2.2.1
40
+ noncomputable def linear (d : WitnessTemplateCode ℓ L J t m) (i : Fin d.rank) : Bool :=
41
+ (d.2.2.2 i).2.2.2
42
+ noncomputable def expression (d : WitnessTemplateCode ℓ L J t m) (h : ℕ) (i : Fin d.rank) :
43
+ SquarefreeExpression (Fin m) ((ℓ+L)+L) := (d.2.2.2 i).1.expression h d.1 d.2.1
44
+
45
+ def WellFormed (d : WitnessTemplateCode ℓ L J t m) (h : ℕ) : Prop :=
46
+ Function.Injective d.selected ∧
47
+ (∀ i, d.linear i=false → d.modulus i=d.selected i) ∧
48
+ (∀ i, d.linear i=false → d.selected i ∉ (d.expression h i).support) ∧
49
+ (∀ i, d.linear i=true → d.modulus i≠d.selected i) ∧
50
+ (∀ i j, i<j → d.selected j ∉ insert (d.modulus i) (d.expression h i).support)
51
+
52
+ noncomputable def embedding (d : WitnessTemplateCode ℓ L J t m) (h : ℕ) (hd : d.WellFormed h) :
53
+ Fin d.rank ↪ Fin m := ⟨d.selected,hd.1⟩
54
+ noncomputable def system (d : WitnessTemplateCode ℓ L J t m) (h : ℕ) (hd : d.WellFormed h) :
55
+ TriangularExpressions (d.embedding h hd) ((ℓ+L)+L) where
56
+ expression := d.expression h
57
+ modulus := d.modulus
58
+ linear := d.linear
59
+ divisor_modulus := hd.2.1
60
+ divisor_own_absent := hd.2.2.1
61
+ linear_modulus_ne := hd.2.2.2.1
62
+ future_absent := hd.2.2.2.2
63
+
64
+ lemma wellFormed_of_relabel (d : WitnessTemplateCode ℓ L J t m) (h : ℕ)
65
+ {α : Type*} [DecidableEq α] (v : Fin m ↪ α) (e : Fin d.rank ↪ α)
66
+ (q : TriangularExpressions e ((ℓ+L)+L))
67
+ (hs : ∀ i, v (d.selected i)=e i)
68
+ (he : ∀ i, (d.expression h i).relabel v=q.expression i)
69
+ (hm : ∀ i, v (d.modulus i)=q.modulus i)
70
+ (hl : ∀ i, d.linear i=q.linear i) : d.WellFormed h := by
71
+ have hinj : Function.Injective d.selected := by
72
+ intro i j hij
73
+ apply e.injective
74
+ rw [←hs i,←hs j,hij]
75
+ let e' : Fin d.rank ↪ Fin m := ⟨d.selected,hinj⟩
76
+ let c := q.ofRelabel v e' hs (d.expression h) d.modulus he hm
77
+ refine ⟨hinj,?_,?_,?_,?_⟩
78
+ · intro i hi
79
+ exact c.divisor_modulus i (by simpa only [c,TriangularExpressions.ofRelabel,←hl] using hi)
80
+ · intro i hi
81
+ exact c.divisor_own_absent i (by simpa only [c,TriangularExpressions.ofRelabel,←hl] using hi)
82
+ · intro i hi
83
+ exact c.linear_modulus_ne i (by simpa only [c,TriangularExpressions.ofRelabel,←hl] using hi)
84
+ · exact c.future_absent
85
+
86
+ lemma system_admissible_of_relabel (d : WitnessTemplateCode ℓ L J t m) (h : ℕ)
87
+ (hd : d.WellFormed h) {α : Type*} [DecidableEq α]
88
+ (v : Fin m ↪ α) (e : Fin d.rank ↪ α) (q : TriangularExpressions e ((ℓ+L)+L))
89
+ (hs : ∀ i, v (d.selected i)=e i)
90
+ (he : ∀ i, (d.expression h i).relabel v=q.expression i)
91
+ (hm : ∀ i, v (d.modulus i)=q.modulus i)
92
+ (hl : ∀ i, d.linear i=q.linear i)
93
+ (P K : ℝ) (x : α → ℕ) (hx : q.Admissible P K x) :
94
+ (d.system h hd).Admissible P K (fun a => x (v a)) := by
95
+ intro i
96
+ have hi := hx i
97
+ change (if d.linear i then
98
+ ArithmeticClause.linear ((d.expression h i).linearCoeff (d.selected i) (fun a => (x (v a):ℤ)))
99
+ ((d.expression h i).constantTerm (d.selected i) (fun a => (x (v a):ℤ))) (x (v (d.modulus i)))
100
+ else ArithmeticClause.divisor ((d.expression h i).eval (fun a => (x (v a):ℤ)))).Holds P K (x (v (d.selected i)))
101
+ rw [←SquarefreeExpression.linearCoeff_relabel (d.expression h i) v (fun a => (x a:ℤ)) (d.selected i),
102
+ ←SquarefreeExpression.constant_relabel (d.expression h i) v (fun a => (x a:ℤ)) (d.selected i),
103
+ ←SquarefreeExpression.eval_relabel (d.expression h i) v (fun a => (x a:ℤ)),hs i,hm i,he i,hl i]
104
+ exact hi
105
+
106
+ lemma descriptor_card (ℓ L t m : ℕ) :
107
+ Fintype.card (WitnessTestDescriptor ℓ L t m)=
108
+ (t^2*2*(L+1)^3*(ℓ+1)^2)*m^2*2 := by
109
+ simp only [WitnessTestDescriptor,Fintype.card_prod,Fintype.card_bool,Fintype.card_fin,
110
+ WitnessTestShape.card]
111
+ ring
112
+
113
+ lemma card_le (ℓ L J t m : ℕ) :
114
+ Fintype.card (WitnessTemplateCode ℓ L J t m) ≤
115
+ Fintype.card (WitnessMetadata ℓ L t)*(m+1)^(Fintype.card (WitnessCodeSlot ℓ L J t)) *
116
+ ((t+1)*(Fintype.card (WitnessTestDescriptor ℓ L t m)+1)^t) := by
117
+ have hc : Fintype.card (WitnessTemplateCode ℓ L J t m) =
118
+ Fintype.card (WitnessMetadata ℓ L t)*(m+1)^(Fintype.card (WitnessCodeSlot ℓ L J t)) *
119
+ (∑ k : Fin (t+1), (Fintype.card (WitnessTestDescriptor ℓ L t m))^k.val) := by
120
+ simp only [WitnessTemplateCode,Fintype.card_prod,Fintype.card_fun,Fintype.card_option,
121
+ Fintype.card_fin,Fintype.card_sigma]
122
+ ring
123
+ rw [hc]
124
+ apply Nat.mul_le_mul_left
125
+ calc
126
+ _ ≤ ∑ k : Fin (t+1), (Fintype.card (WitnessTestDescriptor ℓ L t m)+1)^t := by
127
+ apply sum_le_sum
128
+ intro k hk
129
+ exact (Nat.pow_le_pow_left (Nat.le_succ _) k.val).trans
130
+ (Nat.pow_le_pow_right (n:=Fintype.card (WitnessTestDescriptor ℓ L t m)+1)
131
+ (Nat.succ_pos _) (Nat.lt_succ_iff.mp k.isLt))
132
+ _ = _ := by simp
133
+
134
+ end WitnessTemplateCode
135
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
136
+
137
+ end
138
+
139
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/WitnessTestShape.lean ADDED
@@ -0,0 +1,130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.Symbolic
2
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.WitnessConfiguration
3
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SpecSegment
4
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.RelabelAppend
5
+
6
+ namespace OAI
7
+
8
+ noncomputable section
9
+ open scoped BigOperators
10
+ open Finset
11
+ open Finset Classical
12
+ open Filter
13
+ open Finset Classical Filter
14
+ open scoped Topology
15
+
16
+ namespace OrdinaryCorrelations.GraphKernel.PrimeSystem
17
+ open OrdinaryCorrelations.SignedTrace OrdinaryCorrelations.NumericalSubtrees
18
+ open OrdinaryCorrelations.ArithmeticSaving OrdinaryCorrelations.SharedSlotPatterns
19
+ open Finset Classical
20
+
21
+ structure WitnessTestShape (ℓ L t : ℕ) where
22
+ witness : Fin t
23
+ other : Fin t
24
+ compare : Bool
25
+ a : Fin (L+1)
26
+ b : Fin (L+1)
27
+ c : Fin (L+1)
28
+ lineA : Fin (ℓ+1)
29
+ lineB : Fin (ℓ+1)
30
+ deriving DecidableEq
31
+
32
+ namespace WitnessTestShape
33
+ noncomputable def equiv (ℓ L t : ℕ) : WitnessTestShape ℓ L t ≃
34
+ Fin t × Fin t × Bool × Fin (L+1) × Fin (L+1) × Fin (L+1) × Fin (ℓ+1) × Fin (ℓ+1) :=
35
+ { toFun d := (d.witness,d.other,d.compare,d.a,d.b,d.c,d.lineA,d.lineB)
36
+ invFun z := ⟨z.1,z.2.1,z.2.2.1,z.2.2.2.1,z.2.2.2.2.1,z.2.2.2.2.2.1,
37
+ z.2.2.2.2.2.2.1,z.2.2.2.2.2.2.2⟩
38
+ left_inv _ := rfl
39
+ right_inv _ := rfl }
40
+ noncomputable instance (ℓ L t : ℕ) : Fintype (WitnessTestShape ℓ L t) :=
41
+ Fintype.ofEquiv _ (equiv ℓ L t).symm
42
+
43
+ variable {α β : Type*} [DecidableEq α] [DecidableEq β] {ℓ L J t : ℕ}
44
+
45
+ noncomputable def expression (d : WitnessTestShape ℓ L t) (h : ℕ)
46
+ (m : WitnessMetadata ℓ L t) (p : WitnessCodeSlot ℓ L J t → Option α) :
47
+ SquarefreeExpression α ((ℓ+L)+L) :=
48
+ if d.compare then
49
+ ((PatternExpression.lineSegment h m.1 (fun k => p (.inl k)) d.lineA d.lineB).append
50
+ (PatternExpression.specSegment h (m.2.2 d.witness).2
51
+ (fun k => p (.inr (.inr (.inl (d.witness,k))))) d.a.val d.b.val)).append
52
+ (PatternExpression.specSegment h (m.2.2 d.other).2
53
+ (fun k => p (.inr (.inr (.inl (d.other,k))))) 0 d.c.val).neg
54
+ else ((SquarefreeExpression.zeroExpression α ℓ).append
55
+ (PatternExpression.specSegment h (m.2.2 d.witness).2
56
+ (fun k => p (.inr (.inr (.inl (d.witness,k))))) d.a.val d.b.val)).append
57
+ (SquarefreeExpression.zeroExpression α L)
58
+
59
+ lemma expression_relabel (d : WitnessTestShape ℓ L t) (h : ℕ)
60
+ (m : WitnessMetadata ℓ L t) (p : WitnessCodeSlot ℓ L J t → Option α) (e : α ↪ β) :
61
+ (d.expression h m p).relabel e=d.expression h m (fun s => (p s).map e) := by
62
+ unfold expression
63
+ split_ifs <;> simp only [SquarefreeExpression.relabel_append,
64
+ SquarefreeExpression.relabel_neg,SquarefreeExpression.relabel_zero,
65
+ PatternExpression.specSegment_relabel,PatternExpression.lineSegment_relabel]
66
+
67
+ lemma card (ℓ L t : ℕ) :
68
+ Fintype.card (WitnessTestShape ℓ L t)=t^2*2*(L+1)^3*(ℓ+1)^2 := by
69
+ rw [Fintype.card_congr (equiv ℓ L t)]
70
+ simp only [Fintype.card_prod,Fintype.card_bool,Fintype.card_fin]
71
+ ring
72
+ end WitnessTestShape
73
+
74
+ variable {S : PrimeSystem} {B τ C₀ : ℝ} {D : S.DivisorFamily B τ C₀} {h ℓ L t : ℕ}
75
+ namespace WitnessConfiguration
76
+ variable (x : WitnessConfiguration D h ℓ L t)
77
+
78
+ noncomputable def shape {j : Fin t} : x.family.Test j → WitnessTestShape ℓ L t
79
+ | .extra | .tail _ =>
80
+ { witness := j, other := j, compare := false
81
+ a := ⟨(x.family.witness j).spec.suffix.val,by
82
+ have := (x.family.witness j).spec.suffix.isLt
83
+ have := (x.family.witness j).spec.length_le
84
+ omega⟩
85
+ b := ⟨(x.family.witness j).spec.length,Nat.lt_succ_of_le (x.family.witness j).spec.length_le⟩
86
+ c := 0, lineA := 0, lineB := 0 }
87
+ | .compare i _ r hi =>
88
+ { witness := j, other := i, compare := true
89
+ a := 0
90
+ b := ⟨(x.family.witness j).spec.tailStart.val,by
91
+ have := (x.family.witness j).spec.tailStart.isLt
92
+ have := (x.family.witness j).spec.length_le
93
+ omega⟩
94
+ c := ⟨((x.family.witness i).spec.activity r hi).val,by
95
+ have := ((x.family.witness i).spec.activity r hi).isLt
96
+ have := (x.family.witness i).spec.length_le
97
+ omega⟩
98
+ lineA := (x.family.witness i).index
99
+ lineB := (x.family.witness j).index }
100
+
101
+ lemma shape_expression {j : Fin t} (d : x.family.Test j) :
102
+ (x.shape d).expression h x.metadata x.primeCode=d.symbolic x.labels := by
103
+ have hs (j : Fin t) (a b : ℕ) :
104
+ PatternExpression.specSegment h (x.metadata.2.2 j).2
105
+ (fun k => x.primeCode (.inr (.inr (.inl (j,k))))) a b =
106
+ (x.family.witness j).spec.segmentExpression a b :=
107
+ PatternExpression.specSegment_source _ a b
108
+ have hl (a b : Fin (ℓ+1)) :
109
+ PatternExpression.lineSegment h x.metadata.1 (fun k => x.primeCode (.inl k)) a b=
110
+ LineExpression.segment x.line x.labels a b :=
111
+ PatternExpression.lineSegment_source x.line x.labels a b
112
+ cases d with
113
+ | extra | tail => simp only [shape,WitnessTestShape.expression,Bool.false_eq_true,ite_false,
114
+ hs,PrivateFamily.Test.symbolic]
115
+ | compare i q r hi => simp only [shape,WitnessTestShape.expression,ite_true,Fin.val_zero,
116
+ hs,hl,PrivateFamily.Test.symbolic]
117
+
118
+ lemma pattern_shape_expression {j : Fin t} (d : x.family.Test j) :
119
+ ((x.shape d).expression h x.metadata (pattern x.primeCode)).relabel (values x.primeCode)=
120
+ d.symbolic x.labels := by
121
+ rw [WitnessTestShape.expression_relabel]
122
+ simp only [decode_pattern]
123
+ exact x.shape_expression d
124
+
125
+ end WitnessConfiguration
126
+ end OrdinaryCorrelations.GraphKernel.PrimeSystem
127
+
128
+ end
129
+
130
+ end OAI
lean/OAI/NumberTheory/OrdinaryCorrelations/HighTrace/ZeroExpression.lean ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.OrdinaryCorrelations.HighTrace.SquarefreeExpression
2
+
3
+ namespace OAI
4
+
5
+ noncomputable section
6
+ open scoped BigOperators
7
+ open Finset
8
+ open Finset Classical
9
+ open Filter
10
+ open Finset Classical Filter
11
+ open scoped Topology
12
+
13
+ namespace OrdinaryCorrelations.ArithmeticSaving.SquarefreeExpression
14
+ open Finset Classical
15
+ variable {ι : Type*} [DecidableEq ι] {E F : ℕ}
16
+
17
+ noncomputable def zeroExpression (ι : Type*) [DecidableEq ι] (E : ℕ) : SquarefreeExpression ι E where
18
+ factors _ := ∅
19
+ coefficient _ := 0
20
+
21
+ noncomputable def append (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F) :
22
+ SquarefreeExpression ι (E+F) where
23
+ factors := Fin.addCases d.factors e.factors
24
+ coefficient := Fin.addCases d.coefficient e.coefficient
25
+
26
+ noncomputable def neg (d : SquarefreeExpression ι E) : SquarefreeExpression ι E where
27
+ factors := d.factors
28
+ coefficient i := -d.coefficient i
29
+
30
+ @[simp] lemma eval_zero (x : ι → ℤ) : (zeroExpression ι E).eval x=0 := by simp [eval,zeroExpression]
31
+ @[simp] lemma coefficient_zero (q : ι) (x : ι → ℤ) : (zeroExpression ι E).linearCoeff q x=0 := by
32
+ simp [linearCoeff,zeroExpression]
33
+ @[simp] lemma support_zero : (zeroExpression ι E).support=∅ := by ext v; simp [support,zeroExpression]
34
+
35
+ @[simp] lemma eval_append (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F) (x : ι → ℤ) :
36
+ (d.append e).eval x=d.eval x+e.eval x := by
37
+ unfold eval
38
+ rw [Fin.sum_univ_add]
39
+ simp only [append,Fin.addCases_left,Fin.addCases_right]
40
+
41
+ @[simp] lemma coefficient_append (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F)
42
+ (q : ι) (x : ι → ℤ) : (d.append e).linearCoeff q x=d.linearCoeff q x+e.linearCoeff q x := by
43
+ unfold linearCoeff
44
+ rw [Fin.sum_univ_add]
45
+ simp only [append,Fin.addCases_left,Fin.addCases_right]
46
+
47
+ @[simp] lemma eval_neg (d : SquarefreeExpression ι E) (x : ι → ℤ) : d.neg.eval x= -d.eval x := by
48
+ simp only [eval,neg,neg_mul,sum_neg_distrib]
49
+
50
+ @[simp] lemma coefficient_neg (d : SquarefreeExpression ι E) (q : ι) (x : ι → ℤ) :
51
+ d.neg.linearCoeff q x= -d.linearCoeff q x := by
52
+ unfold linearCoeff
53
+ rw [←sum_neg_distrib]
54
+ apply sum_congr rfl
55
+ intro i hi
56
+ simp only [neg,neg_mul]
57
+ split_ifs <;> simp
58
+
59
+ @[simp] lemma support_neg (d : SquarefreeExpression ι E) : d.neg.support=d.support := by
60
+ simp only [support,neg,neg_eq_zero]
61
+
62
+ @[simp] lemma support_append (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F) :
63
+ (d.append e).support=d.support ∪ e.support := by
64
+ ext v
65
+ simp only [support,mem_biUnion,mem_univ,true_and,mem_union]
66
+ constructor
67
+ · rintro ⟨i,hi⟩
68
+ refine Fin.addCases ?_ ?_ i hi
69
+ · intro j hj; exact Or.inl ⟨j,by simpa only [append,Fin.addCases_left] using hj⟩
70
+ · intro j hj; exact Or.inr ⟨j,by simpa only [append,Fin.addCases_right] using hj⟩
71
+ · rintro (⟨i,hi⟩|⟨i,hi⟩)
72
+ · exact ⟨i.castAdd F,by simpa only [append,Fin.addCases_left] using hi⟩
73
+ · exact ⟨i.natAdd E,by simpa only [append,Fin.addCases_right] using hi⟩
74
+
75
+ lemma factors_append_le (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F) (J : ℕ)
76
+ (hd : ∀ i, (d.factors i).card ≤ J) (he : ∀ i, (e.factors i).card ≤ J) :
77
+ ∀ i, ((d.append e).factors i).card ≤ J := by
78
+ intro i
79
+ refine Fin.addCases ?_ ?_ i
80
+ · intro j; simpa only [append,Fin.addCases_left] using hd j
81
+ · intro j; simpa only [append,Fin.addCases_right] using he j
82
+
83
+ lemma abs_coefficient_append_le (d : SquarefreeExpression ι E) (e : SquarefreeExpression ι F) (H : ℝ)
84
+ (hd : ∀ i, |(d.coefficient i:ℝ)| ≤ H) (he : ∀ i, |(e.coefficient i:ℝ)| ≤ H) :
85
+ ∀ i, |((d.append e).coefficient i:ℝ)| ≤ H := by
86
+ intro i
87
+ refine Fin.addCases ?_ ?_ i
88
+ · intro j; simpa only [append,Fin.addCases_left] using hd j
89
+ · intro j; simpa only [append,Fin.addCases_right] using he j
90
+
91
+ end OrdinaryCorrelations.ArithmeticSaving.SquarefreeExpression
92
+
93
+ end
94
+
95
+ end OAI
lean/OAI/NumberTheory/Ostmann/All.lean ADDED
@@ -0,0 +1,152 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.NumberTheory.Ostmann.Arithmetic.ArithmeticPatternNormRate
2
+ import OAI.NumberTheory.Ostmann.Arithmetic.ArithmeticSlotProducts
3
+ import OAI.NumberTheory.Ostmann.Arithmetic.BulkKernelCellError
4
+ import OAI.NumberTheory.Ostmann.Arithmetic.BulkLogPairComparison
5
+ import OAI.NumberTheory.Ostmann.Arithmetic.BulkLogWeightedCellComparison
6
+ import OAI.NumberTheory.Ostmann.Arithmetic.BulkPageProjection
7
+ import OAI.NumberTheory.Ostmann.Arithmetic.BulkStatisticBound
8
+ import OAI.NumberTheory.Ostmann.Arithmetic.CRTInternalLines
9
+ import OAI.NumberTheory.Ostmann.Arithmetic.CRTLineProbabilities
10
+ import OAI.NumberTheory.Ostmann.Arithmetic.CompensatedHistoryRate
11
+ import OAI.NumberTheory.Ostmann.Arithmetic.ForwardHistoryRate
12
+ import OAI.NumberTheory.Ostmann.Arithmetic.GlobalHistoryPairDecay
13
+ import OAI.NumberTheory.Ostmann.Arithmetic.HarmonicGraphCancellation
14
+ import OAI.NumberTheory.Ostmann.Arithmetic.IdealSmoothHistoryNorm
15
+ import OAI.NumberTheory.Ostmann.Arithmetic.JointLineComparison
16
+ import OAI.NumberTheory.Ostmann.Arithmetic.LeafFrequencySupport
17
+ import OAI.NumberTheory.Ostmann.Arithmetic.LeafModulusRanges
18
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingAmplitudeFullHarmonicCost
19
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingAmplitudeStep
20
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingArithmeticPageDeletion
21
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingArithmeticScale
22
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingBulkLogVariation
23
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingBulkSupport
24
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingCompleteIntegerCells
25
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingConstructedProductStep
26
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingEarlyTemplateCaps
27
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingFieldBulkComparison
28
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingFirstNodeWindows
29
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingFrequencyEnergy
30
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingFullPair
31
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingJointSquareLoss
32
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingMixedResidueRate
33
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingNormalizedEnergyBound
34
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingOriginalEnergyBound
35
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingOriginalGiantComparison
36
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingOriginalLogGiantWeight
37
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingOriginalPair
38
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPairAdaptiveSupport
39
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternGoodMaskedPriors
40
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternHalfLogTwoPrimeIntegratedRate
41
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternLines
42
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternLogLeafBridge
43
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternLogTwoPrimeIntegratedRate
44
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternMainGain
45
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternSameNormArithmetic
46
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternSignedArithmetic
47
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternSignedMajorant
48
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternWholeShellArithmetic
49
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternWindowWeightedWholeShell
50
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternWindowWholeShellArithmetic
51
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPatternWordArithmetic
52
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPrimeInternalNorm
53
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingPrimeResidueRate
54
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingRealWeight
55
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingRegularOuterComparison
56
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSampleDiagonalRate
57
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedDiagonalDecay
58
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedEarlyDiagonalDecay
59
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedPhaseStatistic
60
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedPrimeEnergy
61
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedPrimeStatistic
62
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSelectedStatistic
63
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSeparatedOuterComparison
64
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSmoothPrimeComparison
65
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSpectatorRangeUnits
66
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingSupportedOuterComparison
67
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingTaggedPrimeCore
68
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingTemplateMatchedBound
69
+ import OAI.NumberTheory.Ostmann.Arithmetic.MovingTemplateNormalizer
70
+ import OAI.NumberTheory.Ostmann.Arithmetic.NaturalScheduleEnergy
71
+ import OAI.NumberTheory.Ostmann.Arithmetic.PeriodicGraphCancellation
72
+ import OAI.NumberTheory.Ostmann.Arithmetic.PrimeIntegerTransfer
73
+ import OAI.NumberTheory.Ostmann.Arithmetic.RangedPairAdmissibility
74
+ import OAI.NumberTheory.Ostmann.Arithmetic.RecursiveArchimedeanCutoff
75
+ import OAI.NumberTheory.Ostmann.Arithmetic.ReducedCoefficientLift
76
+ import OAI.NumberTheory.Ostmann.Arithmetic.ResidueProductSupport
77
+ import OAI.NumberTheory.Ostmann.Arithmetic.SmoothCellRate
78
+ import OAI.NumberTheory.Ostmann.Characters.AnchorDiagonalTotal
79
+ import OAI.NumberTheory.Ostmann.Characters.CharacterCompletedOrderOne
80
+ import OAI.NumberTheory.Ostmann.Characters.CharacterFinalTop
81
+ import OAI.NumberTheory.Ostmann.Characters.MixedGiantIdealization
82
+ import OAI.NumberTheory.Ostmann.Characters.PrimeCorrelationBounds
83
+ import OAI.NumberTheory.Ostmann.Characters.QuartetAllMajorants
84
+ import OAI.NumberTheory.Ostmann.Characters.QuartetFriendlyBound
85
+ import OAI.NumberTheory.Ostmann.Construction.BalancedHalfInitialAmplitude
86
+ import OAI.NumberTheory.Ostmann.Construction.ConstituentFinalComparison
87
+ import OAI.NumberTheory.Ostmann.Construction.ConstituentFourierBridge
88
+ import OAI.NumberTheory.Ostmann.Construction.ConstituentMatchingRate
89
+ import OAI.NumberTheory.Ostmann.Construction.ConstituentOriginalPair
90
+ import OAI.NumberTheory.Ostmann.Construction.ConstituentSelectedProducts
91
+ import OAI.NumberTheory.Ostmann.Construction.DiagonalRegularLift
92
+ import OAI.NumberTheory.Ostmann.Construction.DyadicGraphHistory
93
+ import OAI.NumberTheory.Ostmann.Construction.FinalArithmeticContradiction
94
+ import OAI.NumberTheory.Ostmann.Construction.FinalAsymptoticComparison
95
+ import OAI.NumberTheory.Ostmann.Construction.FinalEnergyCutoff
96
+ import OAI.NumberTheory.Ostmann.Construction.FinalOneSidedFactor
97
+ import OAI.NumberTheory.Ostmann.Construction.FiniteMatchedFubini
98
+ import OAI.NumberTheory.Ostmann.Construction.FiniteScheduledTemplate
99
+ import OAI.NumberTheory.Ostmann.Construction.FormulaHistoryGraphBound
100
+ import OAI.NumberTheory.Ostmann.Construction.FrozenOriginalBulk
101
+ import OAI.NumberTheory.Ostmann.Construction.FullPrimeRatioPair
102
+ import OAI.NumberTheory.Ostmann.Construction.HarmonicMatchedEnergy
103
+ import OAI.NumberTheory.Ostmann.Construction.HistoryLineComparison
104
+ import OAI.NumberTheory.Ostmann.Construction.HistoryResidueData
105
+ import OAI.NumberTheory.Ostmann.Construction.InitialOutsideTransform
106
+ import OAI.NumberTheory.Ostmann.Construction.InitialProductSize
107
+ import OAI.NumberTheory.Ostmann.Construction.InitialWordSupport
108
+ import OAI.NumberTheory.Ostmann.Construction.IntegerGridSupport
109
+ import OAI.NumberTheory.Ostmann.Construction.NaturalBadDiagonal
110
+ import OAI.NumberTheory.Ostmann.Construction.OriginalKernelComparison
111
+ import OAI.NumberTheory.Ostmann.Construction.OriginalPrimeRestoration
112
+ import OAI.NumberTheory.Ostmann.Construction.PhaseGiantInitialStatistic
113
+ import OAI.NumberTheory.Ostmann.Construction.PrimeCutoffFactors
114
+ import OAI.NumberTheory.Ostmann.Construction.PrimeTupleDiagonal
115
+ import OAI.NumberTheory.Ostmann.Construction.RepeatedPivotPhase
116
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledAnchorDiagonalSplit
117
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledAnchorEnergyBound
118
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledDistinctSources
119
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledFinalBound
120
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledFinalPrimeComparison
121
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledIntervalStep
122
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledNonanchorDecay
123
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledSpectatorComparison
124
+ import OAI.NumberTheory.Ostmann.Construction.ScheduledSpectatorProducts
125
+ import OAI.NumberTheory.Ostmann.Construction.SelectedAnchorEnergyBound
126
+ import OAI.NumberTheory.Ostmann.Construction.SelectedAnchorSupportedEnergy
127
+ import OAI.NumberTheory.Ostmann.Construction.SelectedCutoffData
128
+ import OAI.NumberTheory.Ostmann.Construction.SelectedFinalNaturalPrimeComparison
129
+ import OAI.NumberTheory.Ostmann.Construction.SelectedFinalPrimeComparison
130
+ import OAI.NumberTheory.Ostmann.Construction.SelectedNodeSources
131
+ import OAI.NumberTheory.Ostmann.Construction.SelectedNonanchorDecay
132
+ import OAI.NumberTheory.Ostmann.Construction.SmoothGiantLossBudget
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+ import OAI.NumberTheory.Ostmann.Construction.SmoothMatchedPrior
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+ import OAI.NumberTheory.Ostmann.Construction.UniformInitialAmplitude
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+ import OAI.NumberTheory.Ostmann.Construction.WeightedRegularNorm
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+ import OAI.NumberTheory.Ostmann.PaperMain
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+ import OAI.NumberTheory.Ostmann.Preliminaries.Reduction
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+ import OAI.NumberTheory.Ostmann.Quadratic.CommonCenterFromApproximation
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+ import OAI.NumberTheory.Ostmann.Quadratic.KernelPopulationDiscard
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+ import OAI.NumberTheory.Ostmann.Quadratic.QuadraticIntervalInverse
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+ import OAI.NumberTheory.Ostmann.Quadratic.QuadraticNegligibleError
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+ import OAI.NumberTheory.Ostmann.Quadratic.QuadraticSecondCorrections
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+ import OAI.NumberTheory.Ostmann.Quadratic.QuadraticVaryingSmooth
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+ import OAI.NumberTheory.Ostmann.Quadratic.QuadraticWholeDivisorBound
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+ import OAI.NumberTheory.Ostmann.QuadraticCenter.RootSeparation
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+ import OAI.NumberTheory.Ostmann.Tree.PairMoment
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.ActualPrincipalPNT
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.ArithmeticProgressionRows
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.BulkAbsoluteDensity
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.CharacterContourHeights
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.DensityFiniteIntegralEnergy
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+ import OAI.NumberTheory.Ostmann.ZeroDensity.NonexceptionalRieszDecay
lean/OAI/NumberTheory/Ostmann/Arithmetic/AccidentalDivisibility.lean ADDED
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+ import Mathlib
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+
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+ namespace OAI
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+
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+ noncomputable section
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+ namespace Ostmann.Arithmetic.AccidentalDivisibility
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+ open scoped BigOperators
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+
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+ theorem primeFactors_card_log_bound (N : ℕ) (hN : N ≠ 0) :
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+ (N.primeFactors.card : ℝ) * Real.log 2 ≤ Real.log N := by
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+ have hpow : 2 ^ N.primeFactors.card ≤ N := by
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+ calc
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+ _ = ∏ _p ∈ N.primeFactors, 2 := by simp
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+ _ ≤ ∏ p ∈ N.primeFactors, p := Finset.prod_le_prod fun p hp =>
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+ (Nat.prime_of_mem_primeFactors hp).two_le
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+ _ ≤ N := Nat.le_of_dvd (Nat.pos_of_ne_zero hN) (Nat.prod_primeFactors_dvd N)
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+ have hreal : (2:ℝ)^N.primeFactors.card ≤ (N:ℝ) := by exact_mod_cast hpow
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+ have hlog := Real.log_le_log (by positivity : 0 < (2:ℝ)^N.primeFactors.card) hreal
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+ simpa only [Real.log_pow] using hlog
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+
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+ theorem weighted_prime_divisors (N : ℕ) (hN : N ≠ 0) (S : Finset ℕ)
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+ (μ : ℕ → ℝ) {α : ℝ} (hα : 0 ≤ α)
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+ (hbound : ∀ p ∈ S, μ p ≤ α) :
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+ (∑ p ∈ S with p.Prime ∧ p ∣ N, μ p) ≤
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+ α * (Real.log N / Real.log 2) := by
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+ have hcard : (S.filter fun p => p.Prime ∧ p ∣ N).card ≤ N.primeFactors.card := by
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+ apply Finset.card_le_card
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+ intro p hp
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+ exact Nat.mem_primeFactors.mpr ⟨(Finset.mem_filter.mp hp).2.1,
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+ (Finset.mem_filter.mp hp).2.2,hN⟩
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+ have hlog2 : 0 < Real.log 2 := Real.log_pos (by norm_num)
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+ calc
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+ _ ≤ ∑ _p ∈ S with _p.Prime ∧ _p ∣ N, α :=
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+ Finset.sum_le_sum fun p hp => hbound p (Finset.mem_filter.mp hp).1
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+ _ = ((S.filter fun p => p.Prime ∧ p ∣ N).card : ℝ) * α := by simp
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+ _ ≤ (N.primeFactors.card:ℝ)*α :=
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+ mul_le_mul_of_nonneg_right (by exact_mod_cast hcard) hα
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+ _ ≤ (Real.log N / Real.log 2)*α := by
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+ apply mul_le_mul_of_nonneg_right _ hα
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+ exact (le_div_iff₀ hlog2).2 (primeFactors_card_log_bound N hN)
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+ _ = _ := mul_comm _ _
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+
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+ theorem weighted_polynomial_roots {K : Type*} [CommRing K] [IsDomain K]
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+ [DecidableEq K] (P : Polynomial K) (hP : P ≠ 0) (S : Finset K)
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+ (μ : K → ℝ) {α : ℝ} (hα : 0 ≤ α) (hbound : ∀ x ∈ S, μ x ≤ α) :
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+ (∑ x ∈ S with P.eval x = 0, μ x) ≤ (P.natDegree:ℝ)*α := by
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+ have hcard : (S.filter fun x => P.eval x=0).card ≤ P.natDegree := by
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+ calc
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+ _ ≤ P.roots.toFinset.card := Finset.card_le_card fun x hx => by
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+ simpa [Polynomial.mem_roots hP, Polynomial.IsRoot] using
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+ (Finset.mem_filter.mp hx).2
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+ _ ≤ P.roots.card := Multiset.toFinset_card_le _
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+ _ ≤ P.natDegree := P.card_roots'
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+ calc
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+ _ ≤ ∑ _x ∈ S with P.eval _x=0, α :=
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+ Finset.sum_le_sum fun x hx => hbound x (Finset.mem_filter.mp hx).1
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+ _ = ((S.filter fun x => P.eval x=0).card:ℝ)*α := by simp
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+ _ ≤ (P.natDegree:ℝ)*α :=
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+ mul_le_mul_of_nonneg_right (by exact_mod_cast hcard) hα
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+
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+ end Ostmann.Arithmetic.AccidentalDivisibility
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+
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+ end
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+
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+ end OAI