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import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.OrbitData
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.ActiveLaws
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.PairConditionalEntropy
import OAI.LinearAlgebra.MatrixMultiplication.FieldParameters.HalfComplement
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.EntropyMax
namespace OAI
/-! Group assignments, orbit counts and extraction capacities. -/
noncomputable section
namespace MatrixMultiplication.AllFieldGroupNativeLaws
open MatrixMultiplication.Foundation AllFieldParameters AllFieldHistory
open AllFieldHistoryChildLaws AllFieldGroupOrbitData AllFieldActiveLaws
open AllFieldNativeCapacity AllFieldPairMarginals AllFieldPairConditionalEntropy
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
def statisticComplement {K : ℕ} (w : Work K) : w.Statistic ≃ w.Statistic :=
match w with
| .stageA _ => CWCompleteStatistics.orderedComplementStatistic
| .stageB _ => CWCompleteStatistics.complementStatistic
| .stageC _ => Equiv.refl _
theorem childLaw_complementary_sides {K : ℕ} (w : Work K)
(u : Shape) (hu : u ∈ shapes (2 * w.halfLength))
(source target : Fin 3) (hne : source ≠ target)
(hsum : u source + u target = 2 * w.halfLength) (a : w.Statistic) :
w.childLaw u source ((statisticComplement w).symm a) = w.childLaw u target a := by
cases w with
| stageA h => exact halfLaw_complementary_sides u hu source target hne hsum a
| stageB h =>
exact littleLaw_complement (aShape h.val) u source target
(lt_of_le_of_lt (mem_shapes_bound hu source) (by norm_num [Work.halfLength]))
(lt_of_le_of_lt (mem_shapes_bound hu target) (by norm_num [Work.halfLength]))
hsum a
| stageC h => rfl
def halfLawAt {K tick : ℕ} (right : Bool) (h : Active K tick)
(u : JointPopulation.Shape) (side : Fin 3) : Statistic h → ℝ :=
if right then rightLaw h u side else leftLaw h u side
def childWeight {K tick : ℕ} (right : Bool) (h : Active K tick)
(u : JointPopulation.Shape) (side : Fin 3) : ℕ :=
if right then activeParentShape h side - (JointPopulation.shapeSide side u).val
else (JointPopulation.shapeSide side u).val
theorem halfLawAt_eq {K tick : ℕ} (right : Bool) (h : Active K tick)
(u : JointPopulation.Shape) (side : Fin 3) (a : Statistic h) :
halfLawAt right h u side a =
(h.val.1.childLaw
(halfShape h.val.1.parentShape (canonicalChildShape h.val u) right)
(h.val.2.symm side) a : ℝ) := by
cases right <;> rfl
theorem halfLawAt_nonnegative {K tick : ℕ} (right : Bool) (h : Active K tick)
(u : JointPopulation.Shape) (side : Fin 3) (a : Statistic h) :
0 ≤ halfLawAt right h u side a := by
cases right
· exact leftLaw_nonnegative h u side a
· exact rightLaw_nonnegative h u side a
theorem halfLawAt_normalized {K tick : ℕ} (allocation : Allocation) (m : ℕ)
(right : Bool) (h : Active K tick) (u : JointPopulation.Shape)
(hu : 0 < activeCounts allocation m h u) (side : Fin 3) :
∑ a, halfLawAt right h u side a = 1 := by
cases right
· exact leftLaw_normalized allocation m h u hu side
· exact rightLaw_normalized allocation m h u hu side
theorem halfLawAt_le_one_of_counts_pos {K tick : ℕ} (allocation : Allocation) (m : ℕ)
(right : Bool) (h : Active K tick) (u : JointPopulation.Shape)
(hu : 0 < activeCounts allocation m h u) (side : Fin 3) (a : Statistic h) :
halfLawAt right h u side a ≤ 1 := by
have hle := Finset.single_le_sum
(fun b (_ : b ∈ Finset.univ) => halfLawAt_nonnegative right h u side b)
(Finset.mem_univ a)
rw [halfLawAt_normalized allocation m right h u hu side] at hle
exact hle
def supportedHalfLaw {K tick : ℕ} (allocation : Allocation) (right : Bool)
(h : Active K tick) (u : JointPopulation.Shape) (side : Fin 3) : Statistic h → ℝ :=
if 0 < activeCounts allocation 1 h u then halfLawAt right h u side else fun _ => 0
theorem supportedHalfLaw_bounds {K tick : ℕ} (allocation : Allocation) (right : Bool)
(h : Active K tick) (u : JointPopulation.Shape) (side : Fin 3) (a : Statistic h) :
0 ≤ supportedHalfLaw allocation right h u side a ∧
supportedHalfLaw allocation right h u side a ≤ 1 := by
unfold supportedHalfLaw
split_ifs with hu
· exact ⟨halfLawAt_nonnegative right h u side a,
halfLawAt_le_one_of_counts_pos allocation 1 right h u hu side a⟩
· norm_num
theorem supportedHalfLaw_eq_of_counts_pos {K tick : ℕ} (allocation : Allocation)
(m : ℕ) (right : Bool) (h : Active K tick) (u : JointPopulation.Shape)
(hu : 0 < activeCounts allocation m h u) (side : Fin 3) :
supportedHalfLaw allocation right h u side = halfLawAt right h u side := by
have hbase : 0 < activeCounts allocation 1 h u := by
rw [AllFieldHistorySupport.activeCounts_dilation] at hu
exact Nat.pos_of_mul_pos_left hu
simp only [supportedHalfLaw, ite_eq_left hbase]
theorem placedLaw_mass_zero_of_count_zero {K : ℕ} (allocation : Allocation)
(w : PlacedWork K) (u : JointPopulation.Shape)
(hu : jointCounts allocation 1 w u = 0) : (placedLaw w).mass u = 0 := by
have hp : (population allocation 1 (w.1.source, w.2) : ℝ) ≠ 0 := by
exact_mod_cast Nat.ne_of_gt
(AllFieldHistory.work_source_population_pos allocation (by decide : 0 < (1 : ℕ)) w)
have he := jointCounts_cast allocation 1 w u
rw [hu, Nat.cast_zero] at he
exact (mul_eq_zero.mp he.symm).resolve_left hp
theorem halfShape_childWeight {K tick : ℕ} (right : Bool) (h : Active K tick)
(u : JointPopulation.Shape) (side : Fin 3) :
(halfShape h.val.1.parentShape (canonicalChildShape h.val u) right)
(h.val.2.symm side) = childWeight right h u side := by
cases right <;>
simp [halfShape, canonicalChildShape, childWeight, activeParentShape,
physicalShape, decodeShape, AllFieldParameters.complement]
theorem halfShape_mem_of_counts_pos {K tick : ℕ} (allocation : Allocation) (m : ℕ)
(right : Bool) (h : Active K tick) (u : JointPopulation.Shape)
(hu : 0 < activeCounts allocation m h u) :
halfShape h.val.1.parentShape (canonicalChildShape h.val u) right ∈
shapes (2 * h.val.1.halfLength) := by
obtain ⟨b, rfl, _⟩ := shapeCounts_positive _ _ u hu
rw [canonicalChildShape_branchShape]
exact h.val.1.halfShape_mem b right
theorem childWeight_sum {K tick : ℕ} (allocation : Allocation) (m : ℕ)
(right : Bool) (h : Active K tick) (u : JointPopulation.Shape)
(hu : 0 < activeCounts allocation m h u) (sigma : Placement) :
childWeight right h u (sigma 0) + childWeight right h u (sigma 1) +
childWeight right h u (sigma 2) = 2 * h.val.1.halfLength := by
let v := halfShape h.val.1.parentShape (canonicalChildShape h.val u) right
have ht := mem_shapes_total (halfShape_mem_of_counts_pos allocation m right h u hu)
have hp := Equiv.sum_comp (sigma.trans h.val.2.symm) v
have he : (∑ i : Fin 3, v (h.val.2.symm (sigma i))) = 2 * h.val.1.halfLength := by
calc
_ = ∑ i : Fin 3, v i := hp
_ = _ := by simpa [v, shapeTotal, Fin.sum_univ_succ, Nat.add_assoc] using ht
simpa [v, halfShape_childWeight, Fin.sum_univ_succ, Nat.add_assoc] using he
theorem designated_source_geometry (weight : Fin 3 → ℕ) (total : ℕ)
(htotal : weight 0 + weight 1 + weight 2 = total) (side : Fin 3)
(hd : if side = 1 then weight 2 = 0
else if side = 2 then weight 0 * weight 1 = 0 else False) :
let source : Fin 3 := if side = 2 ∧ weight 1 ≠ 0 then 1 else 0
source ≠ side ∧ weight source + weight side = total := by
fin_cases side
· simp at hd
· simp at hd ⊢
omega
· by_cases hzero : weight 1 = 0
· simp [hzero] at hd ⊢
omega
· have hz : weight 0 = 0 := by simpa [hzero] using hd
simp [hzero]
omega
theorem compatibilityLaw_eq {K tick : ℕ} (allocation : Allocation) (m : ℕ)
(sigma : Placement) (right : Bool) (side : Fin 3)
(h : ActiveOrder K tick sigma) (u : JointPopulation.Shape)
(hu : 0 < Counts allocation m sigma h u)
(hd : designated right side sigma h u) :
compatibilityLaw right side sigma h u =
if right then rightLaw h.val u (sigma side) else leftLaw h.val u (sigma side) := by
let weight : Fin 3 → ℕ := fun i => childWeight right h.val u (sigma i)
let source : Fin 3 := if side = 2 ∧ weight 1 ≠ 0 then 1 else 0
have hdesignated : if side = 1 then weight 2 = 0
else if side = 2 then weight 0 * weight 1 = 0 else False := by
simpa only [AllFieldGroupOrbitData.designated, weight, childWeight] using hd.2
have hgeom := designated_source_geometry weight (2 * h.val.val.1.halfLength)
(childWeight_sum allocation m right h.val u hu sigma) side hdesignated
have hsource : (if side = 2 ∧ weight 1 ≠ 0 then sigma 1 else sigma 0) = sigma source := by
dsimp only [source]
split_ifs <;> rfl
have hne : h.val.val.2.symm (sigma source) ≠ h.val.val.2.symm (sigma side) := by
intro heq
exact hgeom.1 (sigma.injective (h.val.val.2.symm.injective heq))
have hsum :
(halfShape h.val.val.1.parentShape (canonicalChildShape h.val.val u) right)
(h.val.val.2.symm (sigma source)) +
(halfShape h.val.val.1.parentShape (canonicalChildShape h.val.val u) right)
(h.val.val.2.symm (sigma side)) = 2 * h.val.val.1.halfLength := by
simpa only [halfShape_childWeight] using hgeom.2
funext a
have hlaw := childLaw_complementary_sides h.val.val.1
(halfShape h.val.val.1.parentShape (canonicalChildShape h.val.val u) right)
(halfShape_mem_of_counts_pos allocation m right h.val u hu)
(h.val.val.2.symm (sigma source)) (h.val.val.2.symm (sigma side)) hne hsum a
have hre : halfLawAt right h.val u (sigma source)
((statisticComplement h.val.val.1).symm a) =
halfLawAt right h.val u (sigma side) a := by
rw [halfLawAt_eq, halfLawAt_eq]
exact_mod_cast hlaw
change ((if right then rightLaw h.val u
(if side = 2 ∧ weight 1 ≠ 0 then sigma 1 else sigma 0)
else leftLaw h.val u
(if side = 2 ∧ weight 1 ≠ 0 then sigma 1 else sigma 0))
((statisticComplement h.val.val.1).symm a)) = _
rw [hsource]
exact hre
def nativePairLaw {K : ℕ} (w : Work K) (side : Fin 3) :
FiniteLaw (w.Statistic × w.Statistic) :=
match w with
| .stageA h => stageAPairLaw (initialShape h.val) h.property side
| .stageB h => stageBPairLaw (aShape h.val) h.property side
| .stageC _ =>
{ mass := fun _ => 1
nonneg := fun _ => zero_le_one
total := Fintype.sum_subsingleton (fun _ : PUnit × PUnit => (1 : ℝ))
(PUnit.unit, PUnit.unit) }
theorem placedLaw_sum_mul {K : ℕ} (w : PlacedWork K)
(f : JointPopulation.Shape → ℝ) :
(∑ u, (placedLaw w).mass u * f u) =
∑ b : w.1.Branch, (branchLaw w.1).mass b * f (branchShape w b) := by
exact (JointEntropyMax.sum_mass_mul_coordinate
(branchLaw w.1) (branchShape w) f).symm
theorem childLaw_branchShape {K : ℕ} (w : PlacedWork K)
(b : w.1.Branch) (side : Fin 3) (a : w.1.Statistic) :
childLaw w (branchShape w b) side a =
(w.1.childLaw (w.1.splitShape b) (w.2.symm side) a : ℝ) := by
change (w.1.childLaw (canonicalChildShape w (branchShape w b))
(w.2.symm side) a : ℝ) = _
rw [canonicalChildShape_branchShape]
theorem rightChildLaw_branchShape {K : ℕ} (w : PlacedWork K)
(b : w.1.Branch) (side : Fin 3) (a : w.1.Statistic) :
rightChildLaw w (branchShape w b) side a =
(w.1.childLaw (AllFieldParameters.complement w.1.parentShape (w.1.splitShape b))
(w.2.symm side) a : ℝ) := by
change (w.1.childLaw
(AllFieldParameters.complement w.1.parentShape (canonicalChildShape w (branchShape w b)))
(w.2.symm side) a : ℝ) = _
rw [canonicalChildShape_branchShape]
theorem branchPairMixture_eq_native {K : ℕ} (w : Work K) (side : Fin 3)
(a : w.Statistic × w.Statistic) :
(∑ b : w.Branch, (branchLaw w).mass b *
(w.childLaw (w.splitShape b) side a.1 : ℝ) *
(w.childLaw (AllFieldParameters.complement w.parentShape (w.splitShape b)) side a.2 : ℝ)) =
(nativePairLaw w side).mass a := by
cases w with
| stageA h =>
change (∑ b : Fin (below (initialShape h.val)).length,
(stageALaw (initialShape h.val) (below (initialShape h.val))[b.val] : ℝ) *
(halfLaw (below (initialShape h.val))[b.val] side a.1 : ℝ) *
(halfLaw (AllFieldParameters.complement (initialShape h.val)
(below (initialShape h.val))[b.val]) side a.2 : ℝ)) = _
exact Fin.sum_univ_fun_getElem _ (fun u : Shape =>
(stageALaw (initialShape h.val) u : ℝ) * (halfLaw u side a.1 : ℝ) *
(halfLaw (AllFieldParameters.complement (initialShape h.val) u) side a.2 : ℝ))
| stageB h =>
change (∑ b : Fin (below (aShape h.val)).length,
(stageBLaw (aShape h.val) (below (aShape h.val))[b.val] : ℝ) *
(littleLaw (aShape h.val) (below (aShape h.val))[b.val] side a.1 : ℝ) *
(littleLaw (aShape h.val) (AllFieldParameters.complement (aShape h.val)
(below (aShape h.val))[b.val]) side a.2 : ℝ)) = _
exact Fin.sum_univ_fun_getElem _ (fun u : Shape =>
(stageBLaw (aShape h.val) u : ℝ) *
(littleLaw (aShape h.val) u side a.1 : ℝ) *
(littleLaw (aShape h.val) (AllFieldParameters.complement (aShape h.val) u) side a.2 : ℝ))
| stageC h =>
simpa only [Work.childLaw, Rat.cast_one, mul_one, nativePairLaw] using
(branchLaw (Work.stageC h)).total
def placedPairMixture {K : ℕ} (w : PlacedWork K) (side : Fin 3)
(a : w.1.Statistic × w.1.Statistic) : ℝ :=
∑ u, (placedLaw w).mass u * childLaw w u side a.1 * rightChildLaw w u side a.2
theorem placedPairMixture_eq_native {K : ℕ} (w : PlacedWork K) (side : Fin 3)
(a : w.1.Statistic × w.1.Statistic) :
placedPairMixture w side a = (nativePairLaw w.1 (w.2.symm side)).mass a := by
simp only [placedPairMixture, mul_assoc]
rw [placedLaw_sum_mul]
simpa only [childLaw_branchShape, rightChildLaw_branchShape, mul_assoc] using
branchPairMixture_eq_native w.1 (w.2.symm side) a
theorem placement_symm_order_side {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) :
h.val.val.2.symm (sigma side) = h.val.val.1.priority side := by
have hs : h.val.val.2 (h.val.val.1.priority side) = sigma side :=
Equiv.congr_fun h.property side
rw [← hs, Equiv.symm_apply_apply]
def orderPairMixture {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3)
(a : Statistic h.val × Statistic h.val) : ℝ :=
∑ u, (orderLaw h).mass u * leftLaw h.val u (sigma side) a.1 *
rightLaw h.val u (sigma side) a.2
theorem orderPairMixture_eq_native {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3)
(a : Statistic h.val × Statistic h.val) :
orderPairMixture h side a =
(nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass a := by
change placedPairMixture h.val.val (sigma side) a = _
rw [placedPairMixture_eq_native, placement_symm_order_side]
theorem orderPairMixture_supported {K tick : ℕ} {sigma : Placement}
(allocation : Allocation) (h : ActiveOrder K tick sigma) (side : Fin 3)
(a : Statistic h.val × Statistic h.val) :
(∑ u, (orderLaw h).mass u *
supportedHalfLaw allocation false h.val u (sigma side) a.1 *
supportedHalfLaw allocation true h.val u (sigma side) a.2) =
(nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass a := by
rw [← orderPairMixture_eq_native]
unfold orderPairMixture
apply Finset.sum_congr rfl
intro u _
by_cases hu : 0 < activeCounts allocation 1 h.val u
· simp [supportedHalfLaw, hu, halfLawAt]
· have hz : (orderLaw h).mass u = 0 :=
placedLaw_mass_zero_of_count_zero allocation h.val.val u (Nat.eq_zero_of_not_pos hu)
simp only [hz, zero_mul]
theorem orderPairMixture_nonneg {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3)
(a : Statistic h.val × Statistic h.val) : 0 ≤ orderPairMixture h side a := by
rw [orderPairMixture_eq_native]
exact (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).nonneg a
theorem orderPairMixture_total {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) :
∑ a, orderPairMixture h side a = 1 := by
simp_rw [orderPairMixture_eq_native]
exact (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).total
theorem orderPairMixture_entropy {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) :
finiteEntropy (orderPairMixture h side) =
finiteEntropy (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass := by
have hm : orderPairMixture h side =
(nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass :=
funext (orderPairMixture_eq_native h side)
rw [hm]
def nativeStatisticWeightCode {K : ℕ} (w : Work K) : w.Statistic → Fin 17 :=
match w with
| .stageA _ => halfWeightCode
| .stageB _ => statisticWeightCode
| .stageC _ => fun _ => 0
def nativeSplitWeightCode {K : ℕ} (w : Work K) (side : Fin 3)
(b : w.Branch) : Fin 17 :=
⟨w.splitShape b side, Nat.lt_succ_of_le ((w.splitShape_spec b).1 side)⟩
@[simp] theorem nativeSplitWeightCode_val {K : ℕ} (w : Work K) (side : Fin 3)
(b : w.Branch) : (nativeSplitWeightCode w side b).val = w.splitShape b side := rfl
theorem nativePairLaw_weight_marginal {K : ℕ} (w : Work K) (side : Fin 3)
(hstage : w.stage ≠ 2) :
(nativePairLaw w side).map (fun a => nativeStatisticWeightCode w a.1) =
(branchLaw w).map (nativeSplitWeightCode w side) := by
cases w with
| stageA h =>
change (stageAPairLaw (initialShape h.val) h.property side).map
(fun a => halfWeightCode a.1) =
(stageASplitLaw (initialShape h.val) h.property).map
(stageASplitWeight (initialShape h.val) h.property side)
rw [stageAPairLaw_leftWeight_marginal, stageASplitLaw_ownWeight_marginal]
| stageB h =>
change (stageBPairLaw (aShape h.val) h.property side).map
(fun a => statisticWeightCode a.1) =
(stageBSplitLaw (aShape h.val) h.property).map
(stageBSplitWeight (aShape h.val) h.property side)
rw [stageBPairLaw_leftWeight_marginal, stageBSplitLaw_ownWeight_marginal]
| stageC h => exact False.elim (hstage rfl)
private theorem commonWeight_law_ext {A : Type*} [Fintype A]
(p q : FiniteLaw A) (hmass : ∀ a, p.mass a = q.mass a) : p = q := by
cases p with
| mk p hp htotal =>
cases q with
| mk q hq hqtotal =>
have heq : p = q := funext hmass
subst q
rfl
theorem order_branch_weight {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) (b : h.val.val.1.Branch) :
JointPopulation.shapeSide (sigma side) (branchShape h.val.val b) =
nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side) b := by
apply Fin.ext
rw [branchShape, encodePhysicalShape_side, nativeSplitWeightCode_val,
placement_symm_order_side]
theorem orderLaw_weight_marginal {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) :
(orderLaw h).map (JointPopulation.shapeSide (sigma side)) =
(branchLaw h.val.val.1).map
(nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side)) := by
apply commonWeight_law_ext
intro k
have hm : ((orderLaw h).map (JointPopulation.shapeSide (sigma side))).mass k =
JointPopulationRates.sideMass (placedLaw h.val.val).mass (sigma side) k := by
rw [FiniteLaw.map_mass]
unfold JointPopulationRates.sideMass
apply Finset.sum_congr rfl
intro u _
by_cases hu : JointPopulation.shapeSide (sigma side) u = k <;> simp [hu, orderLaw]
rw [hm, placedLaw_sideMass, FiniteLaw.map_mass]
apply Finset.sum_congr rfl
intro b _
simp only [order_branch_weight, branchLaw_mass]
theorem orderPairLaw_common_weight {K tick : ℕ} {sigma : Placement}
(h : ActiveOrder K tick sigma) (side : Fin 3) (hstage : h.val.val.1.stage ≠ 2) :
(nativePairLaw h.val.val.1 (h.val.val.1.priority side)).map
(fun a => nativeStatisticWeightCode h.val.val.1 a.1) =
(orderLaw h).map (JointPopulation.shapeSide (sigma side)) := by
rw [nativePairLaw_weight_marginal _ _ hstage, orderLaw_weight_marginal]
theorem order_entropy_sub_pair_eq_conditional_sum
{K tick : ℕ} {sigma : Placement} (h : ActiveOrder K tick sigma)
(side : Fin 3) (hstage : h.val.val.1.stage ≠ 2) :
finiteEntropy (orderLaw h).mass -
finiteEntropy (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass =
∑ k, ((orderLaw h).map (JointPopulation.shapeSide (sigma side))).mass k *
(finiteEntropy ((orderLaw h).conditional
(JointPopulation.shapeSide (sigma side)) k).mass -
finiteEntropy ((nativePairLaw h.val.val.1 (h.val.val.1.priority side)).conditional
(fun a => nativeStatisticWeightCode h.val.val.1 a.1) k).mass) :=
entropy_sub_eq_conditional_sum _ _ _ _ _ rfl (orderPairLaw_common_weight h side hstage)
theorem order_entropy_sub_mixture_eq_conditional_sum
{K tick : ℕ} {sigma : Placement} (h : ActiveOrder K tick sigma)
(side : Fin 3) (hstage : h.val.val.1.stage ≠ 2) :
finiteEntropy (orderLaw h).mass - finiteEntropy (orderPairMixture h side) =
∑ k, ((orderLaw h).map (JointPopulation.shapeSide (sigma side))).mass k *
(finiteEntropy ((orderLaw h).conditional
(JointPopulation.shapeSide (sigma side)) k).mass -
finiteEntropy ((nativePairLaw h.val.val.1 (h.val.val.1.priority side)).conditional
(fun a => nativeStatisticWeightCode h.val.val.1 a.1) k).mass) := by
rw [orderPairMixture_entropy]
exact order_entropy_sub_pair_eq_conditional_sum h side hstage
end MatrixMultiplication.AllFieldGroupNativeLaws
end
end OAI