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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 | import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Counts
import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Priority
import OAI.LinearAlgebra.MatrixMultiplication.FieldHistory.Bounds
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.PopulationRates
namespace OAI
/-! Tensor extraction over arbitrary fields and its asymptotic rate. -/
noncomputable section
namespace MatrixMultiplication.AllFieldActiveLaws
open AllFieldParameters AllFieldHistory MatrixMultiplication.Foundation Filter
open scoped BigOperators Topology
attribute [local instance] Classical.propDecidable Classical.decEq
def branchProbability {K : ℕ} (w : Work K) (b : w.Branch) : ℚ :=
match w with
| .stageA h => stageALaw (initialShape h.val) (aSplit ⟨h, b, false⟩)
| .stageB h => stageBLaw (aShape h.val) (bSplit ⟨h, b, false⟩)
| .stageC h => stageCWeight (cParameterParent h) (cShapeParent h) b
theorem branchProbability_nonneg {K : ℕ} (w : Work K) (b : w.Branch) :
0 ≤ branchProbability w b := by
cases w with
| stageA h => exact (stageALaw_positive _ _ (aSplit_mem ⟨h, b, false⟩)).le
| stageB h => exact (stageBLaw_positive _ _ (bSplit_mem ⟨h, b, false⟩)).le
| stageC h => exact stageCWeight_nonnegative _ _ b
theorem branchProbability_total {K : ℕ} (w : Work K) :
∑ b : w.Branch, branchProbability w b = 1 := by
cases w with
| stageA h =>
change (∑ b : ASplit h,
stageALaw (initialShape h.val) (below (initialShape h.val))[b.val]) = 1
rw [Fin.sum_univ_fun_getElem]
exact stageALaw_normalized _ h.property
| stageB h =>
change (∑ b : BSplit h,
stageBLaw (aShape h.val) (below (aShape h.val))[b.val]) = 1
rw [Fin.sum_univ_fun_getElem]
exact stageBLaw_normalized _ h.property
| stageC h => exact stageCWeight_normalized _ _
def branchLaw {K : ℕ} (w : Work K) : FiniteLaw w.Branch where
mass b := (branchProbability w b : ℝ)
nonneg b := by exact_mod_cast branchProbability_nonneg w b
total := by exact_mod_cast branchProbability_total w
@[simp] theorem branchLaw_mass {K : ℕ} (w : Work K) (b : w.Branch) :
(branchLaw w).mass b = (branchProbability w b : ℝ) := rfl
def placedLaw {K : ℕ} (w : PlacedWork K) : FiniteLaw JointPopulation.Shape :=
(branchLaw w.1).map (branchShape w)
@[simp] theorem placedLaw_mass {K : ℕ} (w : PlacedWork K)
(u : JointPopulation.Shape) :
(placedLaw w).mass u =
∑ b : w.1.Branch, if branchShape w b = u then
(branchProbability w.1 b : ℝ) else 0 := by
simp only [placedLaw, FiniteLaw.map_mass, branchLaw_mass]
theorem placedLaw_mass_branch {K : ℕ} (w : PlacedWork K) (b : w.1.Branch) :
(placedLaw w).mass (branchShape w b) = (branchProbability w.1 b : ℝ) :=
FiniteLaw.map_mass_apply _ _ (branchShape_injective w) b
theorem placedLaw_entropy {K : ℕ} (w : PlacedWork K) :
finiteEntropy (placedLaw w).mass = finiteEntropy (branchLaw w.1).mass :=
FiniteLaw.map_entropy_of_injective _ _ (branchShape_injective w)
theorem placedLaw_sideMass {K : ℕ} (w : PlacedWork K) (s : Fin 3)
(k : Fin 17) :
JointPopulationRates.sideMass (placedLaw w).mass s k =
∑ b : w.1.Branch, if JointPopulation.shapeSide s (branchShape w b) = k
then (branchProbability w.1 b : ℝ) else 0 := by
unfold JointPopulationRates.sideMass
simp only [placedLaw_mass]
calc
_ = ∑ u : JointPopulation.Shape, ∑ b : w.1.Branch,
if branchShape w b = u then
if JointPopulation.shapeSide s u = k then (branchProbability w.1 b : ℝ) else 0
else 0 := by
apply Finset.sum_congr rfl
intro u _
by_cases hu : JointPopulation.shapeSide s u = k <;> simp [hu]
_ = _ := by rw [Finset.sum_comm]; simp
theorem branchPopulation_cast_rat {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (b : w.1.Branch) :
(branchPopulation allocation dilation w b : ℚ) =
(population allocation dilation (w.1.source, w.2) : ℚ) *
branchProbability w.1 b := by
rcases w with ⟨w, phi⟩
cases w <;>
simp only [branchPopulation, Work.child, Work.source, population_cast,
amount, canonicalAmount, aAmount, bAmount, cAmount, branchProbability] <;> ring
theorem branchPopulation_cast {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (b : w.1.Branch) :
(branchPopulation allocation dilation w b : ℝ) =
(population allocation dilation (w.1.source, w.2) : ℝ) *
(branchLaw w.1).mass b := by
rw [branchLaw_mass]
exact_mod_cast branchPopulation_cast_rat allocation dilation w b
theorem jointCounts_cast {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (u : JointPopulation.Shape) :
(jointCounts allocation dilation w u : ℝ) =
(population allocation dilation (w.1.source, w.2) : ℝ) *
(placedLaw w).mass u := by
simp only [jointCounts, shapeCounts, Nat.cast_sum, placedLaw_mass, Finset.mul_sum]
apply Finset.sum_congr rfl
intro b _
by_cases hb : branchShape w b = u
· simp only [hb, ite_true, branchPopulation_cast, branchLaw_mass]
· simp [hb]
theorem jointCounts_ratio {K dilation : ℕ} (allocation : Allocation)
(hd : 0 < dilation) (w : PlacedWork K) (u : JointPopulation.Shape) :
(jointCounts allocation dilation w u : ℝ) /
population allocation dilation (w.1.source, w.2) = (placedLaw w).mass u := by
rw [jointCounts_cast]
have hp : (population allocation dilation (w.1.source, w.2) : ℝ) ≠ 0 := by
exact_mod_cast Nat.ne_of_gt (work_source_population_pos allocation hd w)
exact mul_div_cancel_left₀ _ hp
theorem jointCounts_normalized {K dilation : ℕ} (allocation : Allocation)
(hd : 0 < dilation) (w : PlacedWork K) :
(∑ u, (jointCounts allocation dilation w u : ℝ) /
population allocation dilation (w.1.source, w.2)) = 1 := by
simp only [jointCounts_ratio allocation hd]
exact (placedLaw w).total
theorem population_cast_real {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(h : History K) :
(population allocation dilation h : ℝ) =
(populationLength (K := K) allocation dilation : ℝ) * (amount allocation h : ℝ) := by
exact_mod_cast population_cast allocation dilation h
theorem jointCounts_source_cast {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(w : PlacedWork K) (u : JointPopulation.Shape) :
(jointCounts allocation dilation w u : ℝ) =
(populationLength (K := K) allocation dilation : ℝ) *
((amount allocation (w.1.source, w.2) : ℝ) * (placedLaw w).mass u) := by
rw [jointCounts_cast, population_cast_real, mul_assoc]
theorem jointCounts_source_ratio {K dilation : ℕ} (allocation : Allocation)
(hd : 0 < dilation) (w : PlacedWork K) (u : JointPopulation.Shape) :
(jointCounts allocation dilation w u : ℝ) /
populationLength (K := K) allocation dilation =
(amount allocation (w.1.source, w.2) : ℝ) * (placedLaw w).mass u := by
rw [jointCounts_source_cast]
have hp : (populationLength (K := K) allocation dilation : ℝ) ≠ 0 := by
exact_mod_cast Nat.ne_of_gt
(AllFieldPopulationCounts.blockLength_pos (amount (K := K) allocation) hd)
exact mul_div_cancel_left₀ _ hp
theorem jointCounts_source_rate {K : ℕ} (allocation : Allocation)
(w : PlacedWork K) (u : JointPopulation.Shape) :
Tendsto (fun dilation : ℕ => (jointCounts allocation dilation w u : ℝ) /
populationLength (K := K) allocation dilation) atTop
(𝓝 ((amount allocation (w.1.source, w.2) : ℝ) * (placedLaw w).mass u)) := by
apply tendsto_const_nhds.congr'
filter_upwards [eventually_gt_atTop (0 : ℕ)] with dilation hd
exact (jointCounts_source_ratio allocation hd w u).symm
theorem populationLength_dilation {K : ℕ} (allocation : Allocation) (dilation : ℕ) :
populationLength (K := K) allocation dilation =
dilation * populationLength (K := K) allocation 1 := by
simp only [populationLength, AllFieldPopulationCounts.blockLength, one_mul]
theorem jointCounts_dilation_ratio {K dilation : ℕ} (allocation : Allocation)
(hd : 0 < dilation) (w : PlacedWork K) (u : JointPopulation.Shape) :
(jointCounts allocation dilation w u : ℝ) / (dilation : ℝ) =
((populationLength (K := K) allocation 1 : ℝ) *
(amount allocation (w.1.source, w.2) : ℝ)) * (placedLaw w).mass u := by
rw [jointCounts_source_cast, populationLength_dilation, Nat.cast_mul]
have hd' : (dilation : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr (Nat.ne_of_gt hd)
field_simp [hd']
theorem jointCounts_dilation_rate {K : ℕ} (allocation : Allocation)
(w : PlacedWork K) (u : JointPopulation.Shape) :
Tendsto (fun dilation : ℕ => (jointCounts allocation dilation w u : ℝ) /
(dilation : ℝ)) atTop
(𝓝 (((populationLength (K := K) allocation 1 : ℝ) *
(amount allocation (w.1.source, w.2) : ℝ)) * (placedLaw w).mass u)) := by
apply tendsto_const_nhds.congr'
filter_upwards [eventually_gt_atTop (0 : ℕ)] with dilation hd
exact (jointCounts_dilation_ratio allocation hd w u).symm
def orderLaw {K tick : ℕ} {sigma : Placement} (h : ActiveOrder K tick sigma) :
FiniteLaw JointPopulation.Shape := placedLaw h.val.val
def orderMass {K tick : ℕ} {sigma : Placement} (allocation : Allocation)
(h : ActiveOrder K tick sigma) : ℝ :=
amount allocation (h.val.val.1.source, h.val.val.2)
def orderCounts {K tick : ℕ} {sigma : Placement} (allocation : Allocation)
(dilation : ℕ) (h : ActiveOrder K tick sigma) : JointPopulation.Shape → ℕ :=
activeCounts allocation dilation h.val
theorem orderMass_nonneg {K tick : ℕ} {sigma : Placement} (allocation : Allocation)
(h : ActiveOrder K tick sigma) : 0 ≤ orderMass allocation h := by
unfold orderMass
exact_mod_cast amount_nonneg allocation (h.val.val.1.source, h.val.val.2)
theorem orderCounts_source_cast {K tick : ℕ} {sigma : Placement}
(allocation : Allocation) (dilation : ℕ) (h : ActiveOrder K tick sigma)
(u : JointPopulation.Shape) :
(orderCounts allocation dilation h u : ℝ) =
(populationLength (K := K) allocation dilation : ℝ) *
(orderMass allocation h * (orderLaw h).mass u) :=
jointCounts_source_cast allocation dilation h.val.val u
theorem orderCounts_source_rate {K tick : ℕ} {sigma : Placement}
(allocation : Allocation) (h : ActiveOrder K tick sigma) (u : JointPopulation.Shape) :
Tendsto (fun dilation : ℕ => (orderCounts allocation dilation h u : ℝ) /
populationLength (K := K) allocation dilation) atTop
(𝓝 (orderMass allocation h * (orderLaw h).mass u)) :=
jointCounts_source_rate allocation h.val.val u
theorem orderCounts_dilation_rate {K tick : ℕ} {sigma : Placement}
(allocation : Allocation) (h : ActiveOrder K tick sigma) (u : JointPopulation.Shape) :
Tendsto (fun dilation : ℕ => (orderCounts allocation dilation h u : ℝ) /
(dilation : ℝ)) atTop
(𝓝 (((populationLength (K := K) allocation 1 : ℝ) * orderMass allocation h) *
(orderLaw h).mass u)) :=
jointCounts_dilation_rate allocation h.val.val u
end MatrixMultiplication.AllFieldActiveLaws
end
end OAI
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