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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Parameters.JointOrdinaryPopulationSelection
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
noncomputable section
namespace MatrixMultiplication.AllFieldInitialEntropy
open AllFieldParameters AllFieldHistory MatrixMultiplication.Foundation
open JointPopulationRates JointOrdinaryPopulationSelection
open scoped BigOperators
abbrev PlacedInitial := Fin sortedInitial.length × Placement
theorem placement_read_card : ∀ s w : Fin 3,
Fintype.card {phi : Placement // phi.symm s = w} = 2 := by
decide +kernel
theorem sum_placement_read (s : Fin 3) (f : Fin 3 → ℝ) :
(∑ phi : Placement, f (phi.symm s)) = 2 * ∑ w, f w := by
classical
rw [← Fintype.sum_fiberwise' (fun phi : Placement => phi.symm s) f]
simp only [Finset.sum_const, Finset.card_univ, placement_read_card,
nsmul_eq_mul, Nat.cast_ofNat, ← Finset.mul_sum]
def initialShapeCode (p : PlacedInitial) : JointPopulation.Shape :=
rootShape ((0 : Fin 1), p.1) p.2
@[simp] theorem initialShapeCode_side (p : PlacedInitial) (s : Fin 3) :
(JointPopulation.shapeSide s (initialShapeCode p)).val =
sortedInitial.get p.1 (p.2.symm s) := by
simp only [initialShapeCode, rootShape, encodePhysicalShape_side, initialShape]
@[simp] theorem rootShape_eq_initialShapeCode {K : ℕ} (j : Fin K)
(g : Fin sortedInitial.length) (phi : Placement) :
rootShape (j, g) phi = initialShapeCode (g, phi) := rfl
def placedInitialLaw : FiniteLaw PlacedInitial where
mass p := (initialLaw (sortedInitial.get p.1) : ℝ) / 6
nonneg p := div_nonneg (by
exact_mod_cast (initialLaw_positive _ (List.get_mem _ _)).le) (by norm_num)
total := by
have hsum : (∑ g : Fin sortedInitial.length,
(initialLaw (sortedInitial.get g) : ℝ)) = 1 := by
exact_mod_cast initial_amount_sum 1 (0 : Fin 1)
rw [Fintype.sum_prod_type]
simp only [Finset.sum_const, Finset.card_univ,
PhysicalOrders.card_physical_orders, nsmul_eq_mul]
calc
_ = ∑ g : Fin sortedInitial.length,
(initialLaw (sortedInitial.get g) : ℝ) := by
apply Finset.sum_congr rfl
intro g _
ring
_ = 1 := hsum
def orderedInitialLaw : FiniteLaw JointPopulation.Shape :=
placedInitialLaw.map initialShapeCode
def nativeInitialMarginal (k : Fin 17) : ℝ :=
∑ g : Fin sortedInitial.length,
(initialLaw (sortedInitial.get g) : ℝ) *
(∑ w : Fin 3, if sortedInitial.get g w = k.val then 1 else 0) / 3
def nativeH0 : ℝ := homogeneousEntropy nativeInitialMarginal
theorem nativeInitialMarginal_eq_list (k : Fin 17) :
nativeInitialMarginal k =
(sortedInitial.map (fun g => (initialLaw g : ℝ) *
(∑ w : Fin 3, if g w = k.val then 1 else 0) / 3)).sum := by
unfold nativeInitialMarginal
simpa only [List.get_eq_getElem] using
(Fin.sum_univ_fun_getElem sortedInitial (fun g => (initialLaw g : ℝ) *
(∑ w : Fin 3, if g w = k.val then 1 else 0) / 3))
theorem sideMass_orderedInitialLaw (s : Fin 3) (k : Fin 17) :
sideMass orderedInitialLaw.mass s k =
∑ p : PlacedInitial,
if JointPopulation.shapeSide s (initialShapeCode p) = k
then placedInitialLaw.mass p else 0 := by
classical
unfold sideMass orderedInitialLaw
simp only [FiniteLaw.map_mass]
calc
_ = ∑ u : JointPopulation.Shape, ∑ p : PlacedInitial,
if initialShapeCode p = u then
if JointPopulation.shapeSide s u = k then placedInitialLaw.mass p 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 orderedInitialLaw_sideMass (s : Fin 3) :
sideMass orderedInitialLaw.mass s = nativeInitialMarginal := by
classical
funext k
rw [sideMass_orderedInitialLaw, Fintype.sum_prod_type]
unfold nativeInitialMarginal
apply Finset.sum_congr rfl
intro g _
have hside (phi : Placement) :
JointPopulation.shapeSide s (initialShapeCode (g, phi)) = k ↔
sortedInitial.get g (phi.symm s) = k.val := by
rw [← Fin.val_inj, initialShapeCode_side]
simp only [hside, placedInitialLaw]
calc
_ = ∑ phi : Placement, ((initialLaw (sortedInitial.get g) : ℝ) / 6) *
(if sortedInitial.get g (phi.symm s) = k.val then 1 else 0) := by
apply Finset.sum_congr rfl
intro phi _
split_ifs <;> ring
_ = ((initialLaw (sortedInitial.get g) : ℝ) / 6) *
(2 * ∑ w : Fin 3, if sortedInitial.get g w = k.val then 1 else 0) := by
rw [← Finset.mul_sum,
sum_placement_read s (fun w : Fin 3 =>
if sortedInitial.get g w = k.val then 1 else 0)]
_ = _ := by ring
theorem nativeInitialMarginal_total : ∑ k, nativeInitialMarginal k = 1 := by
rw [← orderedInitialLaw_sideMass 0, sideMass_total, orderedInitialLaw.total]
theorem nativeInitialMarginal_nonneg (k : Fin 17) : 0 ≤ nativeInitialMarginal k := by
rw [← orderedInitialLaw_sideMass 0]
simpa only [FiniteLaw.map_mass, sideMass] using
(orderedInitialLaw.map (JointPopulation.shapeSide 0)).nonneg k
theorem nativeH0_eq_finiteEntropy : nativeH0 = finiteEntropy nativeInitialMarginal :=
homogeneousEntropy_normalized _ nativeInitialMarginal_total
theorem orderedInitialLaw_side_entropy (s : Fin 3) :
finiteEntropy (sideMass orderedInitialLaw.mass s) = nativeH0 := by
rw [orderedInitialLaw_sideMass, nativeH0_eq_finiteEntropy]
theorem ordinary_capacity_per_lot :
finiteEntropy orderedInitialLaw.mass -
max (finiteEntropy orderedInitialLaw.mass -
finiteEntropy (sideMass orderedInitialLaw.mass 0))
(max (finiteEntropy orderedInitialLaw.mass -
finiteEntropy (sideMass orderedInitialLaw.mass 1))
(finiteEntropy orderedInitialLaw.mass -
finiteEntropy (sideMass orderedInitialLaw.mass 2))) = nativeH0 := by
simp only [orderedInitialLaw_side_entropy, max_self]
ring
theorem ordinary_capacity_all_lots (K : ℕ) :
entropyRate (fun _ : Fin K => 1) (fun _ => orderedInitialLaw) -
degreeRate (fun _ : Fin K => 1) (fun _ => orderedInitialLaw) =
(K : ℝ) * nativeH0 := by
simp only [entropyRate, degreeRate, sideDegreeRate, one_mul,
orderedInitialLaw_side_entropy, Finset.sum_const, Finset.card_univ,
Fintype.card_fin, nsmul_eq_mul, max_self]
ring
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 initialJointCounts_cast {K : ℕ} (allocation : Allocation) (dilation : ℕ)
(j : Fin K) (u : JointPopulation.Shape) :
(initialJointCounts allocation dilation j u : ℝ) =
(populationLength (K := K) allocation dilation : ℝ) * orderedInitialLaw.mass u := by
classical
unfold initialJointCounts shapeCounts orderedInitialLaw
simp only [FiniteLaw.map_mass, Nat.cast_sum, Finset.mul_sum,
rootShape_eq_initialShapeCode]
apply Finset.sum_congr rfl
intro p _
by_cases hp : initialShapeCode p = u
· simp only [hp, ite_true, population_cast_real, placedInitialLaw]
congr 1
simp only [amount, canonicalAmount, initialAmount, initialShape,
Rat.cast_div, Rat.cast_ofNat]
· simp [hp]
theorem initialJointCounts_ratio {K : ℕ} (allocation : Allocation) {dilation : ℕ}
(hd : 0 < dilation) (j : Fin K) (u : JointPopulation.Shape) :
(initialJointCounts allocation dilation j u : ℝ) /
populationLength (K := K) allocation dilation = orderedInitialLaw.mass u := by
classical
rw [initialJointCounts_cast]
have hp : (populationLength (K := K) allocation dilation : ℝ) ≠ 0 := by
exact_mod_cast (ne_of_gt
(AllFieldPopulationCounts.blockLength_pos (amount (K := K) allocation) hd))
exact mul_div_cancel_left₀ _ hp
theorem initialJointCounts_sideMass {K : ℕ} (allocation : Allocation) {dilation : ℕ}
(hd : 0 < dilation) (j : Fin K) (s : Fin 3) :
sideMass (fun u => (initialJointCounts allocation dilation j u : ℝ) /
populationLength (K := K) allocation dilation) s = nativeInitialMarginal := by
simp only [initialJointCounts_ratio allocation hd, orderedInitialLaw_sideMass]
end MatrixMultiplication.AllFieldInitialEntropy
end
end MatrixAllFields
end OAI