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cdec422 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 | import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.StageCLaw
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.PopulationCounts
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.Population
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.FiniteSchedule
import OAI.LinearAlgebra.MatrixMultiplication.Recovery.PhysicalOrders
import Mathlib.Data.Fintype.Sigma
import Mathlib.Data.Fintype.Sum
import Mathlib.Data.Fintype.Sets
namespace OAI
/-! Finite extraction histories, inherited masks and recovery bounds. -/
noncomputable section
namespace MatrixMultiplication.AllFieldHistory
open AllFieldParameters
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
structure Allocation where
mass : Fin 3 → ℚ
positive : ∀ i, 0 < mass i
total : ∑ i, mass i = 1
abbrev Placement := PhysicalOrders.PhysicalOrder
abbrev Initial (K : ℕ) := Fin K × Fin sortedInitial.length
def initialShape {K : ℕ} (h : Initial K) : Shape := sortedInitial.get h.2
theorem initialShape_mem {K : ℕ} (h : Initial K) : initialShape h ∈ sortedInitial :=
List.get_mem _ _
abbrev InitialPositive (K : ℕ) := {h : Initial K // initialShape h ∈ positiveInitial}
abbrev ASplit {K : ℕ} (h : InitialPositive K) := Fin (below (initialShape h.val)).length
abbrev AfterA (K : ℕ) := Σ h : InitialPositive K, ASplit h × Bool
def aSplit {K : ℕ} (h : AfterA K) : Shape :=
(below (initialShape h.1.val)).get h.2.1
def halfShape (parent left : Shape) (right : Bool) : Shape :=
if right then complement parent left else left
def aShape {K : ℕ} (h : AfterA K) : Shape :=
halfShape (initialShape h.1.val) (aSplit h) h.2.2
theorem aSplit_mem {K : ℕ} (h : AfterA K) : aSplit h ∈ below (initialShape h.1.val) :=
List.get_mem _ _
theorem aShape_mem {K : ℕ} (h : AfterA K) : aShape h ∈ below (initialShape h.1.val) := by
have hc := (stageA_support_complement _ h.1.property _ (aSplit_mem h)).1
cases hh : h.2.2 <;> simp [aShape, halfShape, hh, aSplit_mem h, hc]
theorem stageA_children_size : ∀ g ∈ positiveInitial, ∀ t ∈ below g, t ∈ shapes 8 := by
decide +kernel
theorem aShape_size {K : ℕ} (h : AfterA K) : aShape h ∈ shapes 8 :=
stageA_children_size _ h.1.property _ (aShape_mem h)
abbrev APositive (K : ℕ) := {h : AfterA K // aShape h ∈ positiveSecond}
abbrev BSplit {K : ℕ} (h : APositive K) := Fin (below (aShape h.val)).length
abbrev AfterB (K : ℕ) := Σ h : APositive K, BSplit h × Bool
def bSplit {K : ℕ} (h : AfterB K) : Shape :=
(below (aShape h.1.val)).get h.2.1
def bShape {K : ℕ} (h : AfterB K) : Shape :=
halfShape (aShape h.1.val) (bSplit h) h.2.2
theorem bSplit_mem {K : ℕ} (h : AfterB K) : bSplit h ∈ below (aShape h.1.val) :=
List.get_mem _ _
theorem bShape_mem {K : ℕ} (h : AfterB K) : bShape h ∈ below (aShape h.1.val) := by
have hc := (stageB_support_complement _ h.1.property _ (bSplit_mem h)).1
cases hh : h.2.2 <;> simp [bShape, halfShape, hh, bSplit_mem h, hc]
theorem stageB_children_size : ∀ t ∈ positiveSecond, ∀ u ∈ below t, u ∈ shapes 4 := by
decide +kernel
theorem bShape_size {K : ℕ} (h : AfterB K) : bShape h ∈ shapes 4 :=
stageB_children_size _ h.1.property _ (bShape_mem h)
abbrev BPositive (K : ℕ) := {h : AfterB K // positive (bShape h) = true}
abbrev PartC (K : ℕ) := BPositive K × Fin 3
abbrev AfterC (K : ℕ) := PartC K × Fin 4 × Bool
def cParameterParent {K : ℕ} (h : PartC K) : Shape := aShape h.1.val.1.val
def cShapeParent {K : ℕ} (h : PartC K) : Shape := bShape h.1.val
def cSplit {K : ℕ} (h : AfterC K) : Shape := stageCAtom (cShapeParent h.1) h.2.1
def cShape {K : ℕ} (h : AfterC K) : Shape :=
halfShape (cShapeParent h.1) (cSplit h) h.2.2
theorem cShape_zero {K : ℕ} (h : AfterC K) : ∃ i, cShape h i = 0 := by
have hg := stageC_children_geometry (cShapeParent h.1)
(bShape_size h.1.1.val) h.1.1.property (cSplit h)
(stageCAtom_mem _ (bShape_size h.1.1.val) h.1.1.property h.2.1)
cases hh : h.2.2 with
| false => simpa [cShape, halfShape, hh] using hg.2.2.1
| true => simpa [cShape, halfShape, hh] using hg.2.2.2
instance initialPositiveFintype (K : ℕ) : Fintype (InitialPositive K) :=
Fintype.ofFinite _
instance aPositiveFintype (K : ℕ) : Fintype (APositive K) :=
Fintype.ofFinite _
instance bPositiveFintype (K : ℕ) : Fintype (BPositive K) :=
Fintype.ofFinite _
inductive CanonicalHistory (K : ℕ) where
| initial (h : Initial K)
| afterA (h : AfterA K)
| afterB (h : AfterB K)
| partC (h : PartC K)
| afterC (h : AfterC K)
deriving Fintype
abbrev History (K : ℕ) := CanonicalHistory K × Placement
def initialAmount {K : ℕ} (h : Initial K) : ℚ := initialLaw (initialShape h)
def aAmount {K : ℕ} (h : AfterA K) : ℚ :=
initialAmount h.1.val * stageALaw (initialShape h.1.val) (aSplit h)
def bAmount {K : ℕ} (h : AfterB K) : ℚ :=
aAmount h.1.val * stageBLaw (aShape h.1.val) (bSplit h)
def partAmount {K : ℕ} (allocation : Allocation) (h : PartC K) : ℚ :=
bAmount h.1.val * allocation.mass h.2
def cAmount {K : ℕ} (allocation : Allocation) (h : AfterC K) : ℚ :=
partAmount allocation h.1 * stageCWeight (cParameterParent h.1) (cShapeParent h.1) h.2.1
def canonicalAmount {K : ℕ} (allocation : Allocation) : CanonicalHistory K → ℚ
| .initial h => initialAmount h
| .afterA h => aAmount h
| .afterB h => bAmount h
| .partC h => partAmount allocation h
| .afterC h => cAmount allocation h
def amount {K : ℕ} (allocation : Allocation) (h : History K) : ℚ :=
canonicalAmount allocation h.1 / 6
theorem initialAmount_pos {K : ℕ} (h : Initial K) : 0 < initialAmount h :=
initialLaw_positive _ (initialShape_mem h)
theorem aAmount_pos {K : ℕ} (h : AfterA K) : 0 < aAmount h :=
mul_pos (initialAmount_pos _) (stageALaw_positive _ _ (aSplit_mem h))
theorem bAmount_pos {K : ℕ} (h : AfterB K) : 0 < bAmount h :=
mul_pos (aAmount_pos _) (stageBLaw_positive _ _ (bSplit_mem h))
theorem partAmount_pos {K : ℕ} (allocation : Allocation) (h : PartC K) :
0 < partAmount allocation h := mul_pos (bAmount_pos _) (allocation.positive _)
theorem cAmount_nonneg {K : ℕ} (allocation : Allocation) (h : AfterC K) :
0 ≤ cAmount allocation h :=
mul_nonneg (partAmount_pos allocation _).le (stageCWeight_nonnegative _ _ _)
theorem amount_nonneg {K : ℕ} (allocation : Allocation) (h : History K) :
0 ≤ amount allocation h := by
apply div_nonneg _ (by norm_num)
cases h.1 with
| initial h => exact (initialAmount_pos h).le
| afterA h => exact (aAmount_pos h).le
| afterB h => exact (bAmount_pos h).le
| partC h => exact (partAmount_pos allocation h).le
| afterC h => exact cAmount_nonneg allocation h
theorem placement_amount_eq {K : ℕ} (allocation : Allocation)
(h : CanonicalHistory K) (phi psi : Placement) :
amount allocation (h, phi) = amount allocation (h, psi) := rfl
theorem sum_placement_amount {K : ℕ} (allocation : Allocation) (h : CanonicalHistory K) :
∑ phi : Placement, amount allocation (h, phi) = canonicalAmount allocation h := by
simp only [amount, Finset.sum_const, Finset.card_univ,
PhysicalOrders.card_physical_orders, nsmul_eq_mul]
norm_num
ring
theorem initial_amount_sum (K : ℕ) (j : Fin K) :
∑ g : Fin sortedInitial.length, initialAmount (j, g) = 1 := by
change (∑ g : Fin sortedInitial.length, initialLaw sortedInitial[g.val]) = 1
rw [Fin.sum_univ_fun_getElem]
exact initialLaw_normalized
theorem root_mass_sum_lot {K : ℕ} (allocation : Allocation) (j : Fin K) :
(∑ g : Fin sortedInitial.length, ∑ phi : Placement,
amount allocation (.initial (j, g), phi)) = 1 := by
simp only [sum_placement_amount, canonicalAmount]
exact initial_amount_sum K j
theorem a_transition {K : ℕ} (h : InitialPositive K) (right : Bool) :
∑ k : ASplit h, aAmount ⟨h, k, right⟩ = initialAmount h.val := by
change (∑ k : ASplit h, initialAmount h.val *
stageALaw (initialShape h.val) (below (initialShape h.val))[k.val]) = _
rw [← Finset.mul_sum, Fin.sum_univ_fun_getElem,
stageALaw_normalized _ h.property, mul_one]
theorem b_transition {K : ℕ} (h : APositive K) (right : Bool) :
∑ k : BSplit h, bAmount ⟨h, k, right⟩ = aAmount h.val := by
change (∑ k : BSplit h, aAmount h.val *
stageBLaw (aShape h.val) (below (aShape h.val))[k.val]) = _
rw [← Finset.mul_sum, Fin.sum_univ_fun_getElem,
stageBLaw_normalized _ h.property, mul_one]
theorem part_transition {K : ℕ} (allocation : Allocation) (h : BPositive K) :
∑ i : Fin 3, partAmount allocation (h, i) = bAmount h.val := by
simp only [partAmount, ← Finset.mul_sum, allocation.total, mul_one]
theorem c_transition {K : ℕ} (allocation : Allocation) (h : PartC K) (right : Bool) :
∑ k : Fin 4, cAmount allocation (h, k, right) = partAmount allocation h := by
simp only [cAmount, ← Finset.mul_sum, stageCWeight_normalized, mul_one]
def population {K : ℕ} (allocation : Allocation) (dilation : ℕ) : History K → ℕ :=
AllFieldPopulationCounts.count (amount allocation) dilation
def populationLength {K : ℕ} (allocation : Allocation) (dilation : ℕ) : ℕ :=
AllFieldPopulationCounts.blockLength (amount (K := K) allocation) dilation
theorem population_cast {K : ℕ} (allocation : Allocation) (dilation : ℕ) (h : History K) :
(population allocation dilation h : ℚ) =
(populationLength (K := K) allocation dilation : ℚ) * amount allocation h :=
AllFieldPopulationCounts.count_cast_blockLength _ (amount_nonneg allocation) dilation h
theorem population_zero_iff {K : ℕ} (allocation : Allocation) {dilation : ℕ}
(hd : 0 < dilation) (h : History K) :
population allocation dilation h = 0 ↔ amount allocation h = 0 :=
AllFieldPopulationCounts.count_zero_iff _ (amount_nonneg allocation) hd h
theorem initial_population_sum {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(j : Fin K) :
(∑ g : Fin sortedInitial.length, ∑ phi : Placement,
population allocation dilation (.initial (j, g), phi)) =
populationLength (K := K) allocation dilation := by
apply Nat.cast_injective (R := ℚ)
simp only [Nat.cast_sum, population_cast, ← Finset.mul_sum,
root_mass_sum_lot allocation j, mul_one]
theorem a_population_transition {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : InitialPositive K) (right : Bool) (phi : Placement) :
(∑ k : ASplit h, population allocation dilation (.afterA ⟨h, k, right⟩, phi)) =
population allocation dilation (.initial h.val, phi) := by
apply Nat.cast_injective (R := ℚ)
simp only [Nat.cast_sum, population_cast, amount, canonicalAmount,
← Finset.mul_sum, ← Finset.sum_div, a_transition]
theorem b_population_transition {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : APositive K) (right : Bool) (phi : Placement) :
(∑ k : BSplit h, population allocation dilation (.afterB ⟨h, k, right⟩, phi)) =
population allocation dilation (.afterA h.val, phi) := by
apply Nat.cast_injective (R := ℚ)
simp only [Nat.cast_sum, population_cast, amount, canonicalAmount,
← Finset.mul_sum, ← Finset.sum_div, b_transition]
theorem part_population_transition {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : BPositive K) (phi : Placement) :
(∑ i : Fin 3, population allocation dilation (.partC (h, i), phi)) =
population allocation dilation (.afterB h.val, phi) := by
apply Nat.cast_injective (R := ℚ)
simp only [Nat.cast_sum, population_cast, amount, canonicalAmount,
← Finset.mul_sum, ← Finset.sum_div, part_transition]
theorem c_population_transition {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : PartC K) (right : Bool) (phi : Placement) :
(∑ k : Fin 4, population allocation dilation (.afterC (h, k, right), phi)) =
population allocation dilation (.partC h, phi) := by
apply Nat.cast_injective (R := ℚ)
simp only [Nat.cast_sum, population_cast, amount, canonicalAmount,
← Finset.mul_sum, ← Finset.sum_div, c_transition]
theorem a_half_counts_eq {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : InitialPositive K) (k : ASplit h) (phi : Placement) :
population allocation dilation (.afterA ⟨h, k, false⟩, phi) =
population allocation dilation (.afterA ⟨h, k, true⟩, phi) :=
AllFieldPopulationCounts.count_eq_of_mass_eq _ (amount_nonneg allocation) dilation rfl
theorem b_half_counts_eq {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : APositive K) (k : BSplit h) (phi : Placement) :
population allocation dilation (.afterB ⟨h, k, false⟩, phi) =
population allocation dilation (.afterB ⟨h, k, true⟩, phi) :=
AllFieldPopulationCounts.count_eq_of_mass_eq _ (amount_nonneg allocation) dilation rfl
theorem c_half_counts_eq {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : PartC K) (k : Fin 4) (phi : Placement) :
population allocation dilation (.afterC (h, k, false), phi) =
population allocation dilation (.afterC (h, k, true), phi) :=
AllFieldPopulationCounts.count_eq_of_mass_eq _ (amount_nonneg allocation) dilation rfl
end MatrixMultiplication.AllFieldHistory
end
end OAI
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