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import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.PairEntropy
import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.DegreeLaws
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.GroupedEntropyEmbedding
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.ProjectedGroupEntropy
import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.BranchDesignation
import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.BranchLaws
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.NativeGroupedRates
namespace OAI
/-! Group assignments, orbit counts and extraction capacities. -/
noncomputable section
namespace MatrixMultiplication.AllFieldGroupProjectedEntropy
open MatrixMultiplication.Foundation AllFieldParameters AllFieldHistory AllFieldActiveLaws
open AllFieldHistoryChildLaws AllFieldGroupOrbitData AllFieldGroupDegrees
open AllFieldGroupNativeLaws AllFieldGroupPairWindows AllFieldGroupDegreeLaws
open JointCompatibilityScaling JointCompatibilityRateLimit JointCompatibilityControls
open JointCompatibilityIncidence JointGroupedEntropyEmbedding JointGroupedEntropyPartition
open AllFieldGroupBranchDesignation AllFieldGroupBranchLaws AllFieldNativeGroupedRates
open AllFieldScheduledYield AllFieldGroupPairEntropy
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
section Kernel
variable {U V G A : Type*} [Fintype U] [Fintype V] [Fintype G] [Fintype A]
theorem groupedEntropy_congr_law_on_support (p : U → ℝ) (group : U → G)
(q q' : U → A → ℝ) (hq : ∀ u, p u ≠ 0 → q u = q' u) :
groupedEntropy p group q = groupedEntropy p group q' := by
have he (g : G) : groupLaw p group q g = groupLaw p group q' g := by
funext a
unfold groupLaw
congr 1
apply Finset.sum_congr rfl
intro u _
by_cases hp : p u = 0
· simp only [hp, zero_mul]
· rw [hq u hp]
simp only [groupedEntropy, he]
theorem groupedEntropy_designated_pushforward (p : U → ℝ) (f : U → V)
(hf : Function.Injective f) (d : V → Prop) (d' : U → Prop)
(hd : ∀ u, d (f u) ↔ d' u) (q : V → A → ℝ) (q' : U → A → ℝ)
(hq : ∀ u, p u ≠ 0 → q (f u) = q' u) :
groupedEntropy (pushforwardWeight p f) (designatedGroup d) q =
groupedEntropy p (designatedGroup d') q' := by
rw [groupedEntropy_pushforward]
have hg : designatedGroup d ∘ f = Option.map f ∘ designatedGroup d' := by
funext u
by_cases hu : d' u
· simp [designatedGroup, (hd u).mpr hu, hu]
· simp [designatedGroup, mt (hd u).mp hu, hu]
rw [hg, groupedEntropy_label_injective (Option.map f) (Option.map_injective hf)]
exact groupedEntropy_congr_law_on_support p _ _ q' hq
theorem groupedEntropy_const_one (p : U → ℝ) (group : U → G) :
groupedEntropy p group (fun _ (_ : A) => 1) = 0 := by
unfold groupedEntropy
apply Finset.sum_eq_zero
intro g _
by_cases hg : groupMass p group g = 0
· rw [hg, zero_mul]
· have he : groupLaw p group (fun _ (_ : A) => 1) g = fun _ => 1 := by
funext a
simp only [groupLaw, mul_one]
exact div_self hg
rw [he]
simp [finiteEntropy, entropyTerm]
omit [Fintype V] [Fintype G] in
theorem pushforwardWeight_mask (p : U → ℝ) (f : U → V)
(weight : V → G) (k : G) :
(fun v => if weight v = k then pushforwardWeight p f v else 0) =
pushforwardWeight (fun u => if weight (f u) = k then p u else 0) f := by
funext v
unfold pushforwardWeight
by_cases hv : weight v = k
· simp only [hv, ite_true]
apply Finset.sum_congr rfl
intro u _
by_cases hu : f u = v <;> simp [hu, hv]
· simp only [hv, ite_false]
symm
apply Finset.sum_eq_zero
intro u _
by_cases hu : f u = v <;> simp [hu, hv]
end Kernel
variable {K tick : ℕ} {sigma : Placement}
def maskedBranchMass (h : ActiveOrder K tick sigma) (side : Fin 3) (k : Fin 17)
(b : h.val.val.1.Branch) : ℝ :=
if nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side) b = k
then (branchLaw h.val.val.1).mass b else 0
theorem classCounts_cast_eq_pushforward (allocation : Allocation) (side : Fin 3)
(h : ActiveOrder K tick sigma) (k : Fin 17) :
(fun u => (base allocation sigma side (h, k) u : ℝ)) =
fun u => (parentBase allocation h : ℝ) *
pushforwardWeight (maskedBranchMass h side k) (branchShape h.val.val) u := by
have hpmap : (placedLaw h.val.val).mass =
pushforwardWeight (branchLaw h.val.val.1).mass (branchShape h.val.val) := by
funext u
simp only [placedLaw, FiniteLaw.map_mass, pushforwardWeight]
apply Finset.sum_congr rfl
intro b _
by_cases hb : branchShape h.val.val b = u <;> simp only [hb, ite_true, ite_false]
have hm : (fun u => if JointPopulation.shapeSide (sigma side) u = k
then (placedLaw h.val.val).mass u else 0) =
pushforwardWeight (maskedBranchMass h side k) (branchShape h.val.val) := by
rw [hpmap]
funext u
unfold pushforwardWeight maskedBranchMass
by_cases hu : JointPopulation.shapeSide (sigma side) u = k
· simp only [hu, ite_true]
apply Finset.sum_congr rfl
intro b _
by_cases hb : branchShape h.val.val b = u
· have hk : nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side) b = k := by
rw [← order_branch_weight h side b, hb]
exact hu
simp only [hb, hk, ite_true]
· simp only [hb, ite_false]
· simp only [hu, ite_false]
symm
apply Finset.sum_eq_zero
intro b _
by_cases hb : branchShape h.val.val b = u
· have hk : nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side) b ≠ k := by
rw [← order_branch_weight h side b, hb]
exact hu
simp only [hb, hk, ite_true, ite_false]
· simp only [hb, ite_false]
funext u
change ((if JointPopulation.shapeSide (sigma side) u = k
then Counts allocation 1 sigma h u else 0 : ℕ) : ℝ) = _
rw [Nat.cast_ite, Nat.cast_zero]
rw [← hm]
by_cases hu : JointPopulation.shapeSide (sigma side) u = k
· simp only [hu, ite_true]
exact jointCounts_cast allocation 1 h.val.val u
· simp only [hu, ite_false, mul_zero]
def branchHalfLaw (w : Work K) (right : Bool) (side : Fin 3)
(b : w.Branch) (a : w.Statistic) : ℝ :=
(w.childLaw (halfShape w.parentShape (w.splitShape b) right) (w.priority side) a : ℝ)
theorem class_groupedEntropy_eq_masked (allocation : Allocation) (right : Bool)
(side : Fin 3) (hside : side ≠ 0) (h : ActiveOrder K tick sigma) (k : Fin 17) :
groupedEntropy (fun u => (base allocation sigma side (h, k) u : ℝ))
(designatedGroup (classDesignated right side sigma (h, k)))
(nativeLaw allocation right side sigma (h, k)) =
(parentBase allocation h : ℝ) *
groupedEntropy (maskedBranchMass h side k)
(designatedGroup (nativeBranchDesignated h.val.val.1 right side))
(branchHalfLaw h.val.val.1 right side) := by
rw [classCounts_cast_eq_pushforward, groupedEntropy_mul]
congr 1
apply groupedEntropy_designated_pushforward _ _ (branchShape_injective h.val.val)
_ _ (fun b => designated_branchShape right side h hside b)
intro b hb
have hp : (branchLaw h.val.val.1).mass b ≠ 0 := by
intro hp
apply hb
simp only [maskedBranchMass, hp, ite_self]
exact supportedHalfLaw_branchShape_of_mass_ne_zero allocation right h b hp side
theorem maskedBranchMass_eq_conditional (h : ActiveOrder K tick sigma)
(side : Fin 3) (k : Fin 17) :
maskedBranchMass h side k = fun b =>
((branchLaw h.val.val.1).map
(nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side))).mass k *
((branchLaw h.val.val.1).conditional
(nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side)) k).mass b := by
funext b
exact ((branchLaw h.val.val.1).map_mass_mul_conditional
(nativeSplitWeightCode h.val.val.1 (h.val.val.1.priority side)) k b).symm
def branchConditionalCost (w : Work K) (side : Fin 3) : ℝ :=
∑ k : Fin 17,
((branchLaw w).map (nativeSplitWeightCode w (w.priority side))).mass k *
(groupedEntropy ((branchLaw w).conditional
(nativeSplitWeightCode w (w.priority side)) k).mass
(designatedGroup (nativeBranchDesignated w false side)) (branchHalfLaw w false side) +
groupedEntropy ((branchLaw w).conditional
(nativeSplitWeightCode w (w.priority side)) k).mass
(designatedGroup (nativeBranchDesignated w true side)) (branchHalfLaw w true side))
theorem history_projected_entropy_eq (allocation : Allocation)
(side : Fin 3) (hside : side ≠ 0) (h : ActiveOrder K tick sigma) :
(∑ k : Fin 17,
(groupedEntropy (fun u => (base allocation sigma side (h, k) u : ℝ))
(designatedGroup (classDesignated false side sigma (h, k)))
(nativeLaw allocation false side sigma (h, k)) +
groupedEntropy (fun u => (base allocation sigma side (h, k) u : ℝ))
(designatedGroup (classDesignated true side sigma (h, k)))
(nativeLaw allocation true side sigma (h, k)))) =
(parentBase allocation h : ℝ) * branchConditionalCost h.val.val.1 side := by
simp_rw [class_groupedEntropy_eq_masked allocation _ side hside,
maskedBranchMass_eq_conditional, groupedEntropy_mul]
simp only [branchConditionalCost, Finset.mul_sum, mul_add]
theorem branchConditionalCost_eq (w : Work K) (side : Fin 3) (hside : side ≠ 0) :
branchConditionalCost w side =
if w.stage ≠ 2 then
finiteEntropy (nativePairLaw w (w.priority side)).mass - workCapacity w side
else 0 := by
cases w with
| stageA h =>
have hs : (Work.stageA h).stage ≠ 2 := by change (0 : Fin 3) ≠ 2; decide
have hl : branchLaw (Work.stageA h) =
AllFieldNativeCapacity.stageASplitLaw (initialShape h.val) h.property := rfl
have hw : nativeSplitWeightCode (Work.stageA h) ((Work.stageA h).priority side) =
AllFieldPairConditionalEntropy.stageASplitWeight (initialShape h.val) h.property side := by
funext b
apply Fin.ext
rfl
have hd (right : Bool) : nativeBranchDesignated (Work.stageA h) right side =
fun b => AllFieldNativeCapacity.designated (Equiv.refl (Fin 3)) side
(halfShape (initialShape h.val) (below (initialShape h.val))[b.val] right) := by
funext b
apply propext
change (_ ∧ _) ↔ _
exact ⟨fun hh => hh.2, fun hh => ⟨hs, hh⟩⟩
have hq (right : Bool) : branchHalfLaw (Work.stageA h) right side =
fun b a => (halfLaw
(halfShape (initialShape h.val) (below (initialShape h.val))[b.val] right)
side a : ℝ) := rfl
rw [ite_eq_left hs]
rw [branchConditionalCost, hl, hw]
simp_rw [hd, hq]
change _ = finiteEntropy (AllFieldNativeCapacity.stageAPairLaw
(initialShape h.val) h.property side).mass -
AllFieldNativeCapacity.stageACapacity (initialShape h.val) side
dsimp only [Work.Branch, Work.Statistic, instFintypeBranch, instFintypeStatistic]
simpa only [twoHalfConditionalCost, halfShape, Bool.false_eq_true, ite_false, ite_true] using!
stageA_twoHalfConditionalCost_eq_entropy_sub_capacity _ h.property side hside
| stageB h =>
have hs : (Work.stageB h).stage ≠ 2 := by change (1 : Fin 3) ≠ 2; decide
have hl : branchLaw (Work.stageB h) =
AllFieldNativeCapacity.stageBSplitLaw (aShape h.val) h.property := rfl
have hw : nativeSplitWeightCode (Work.stageB h) ((Work.stageB h).priority side) =
AllFieldPairConditionalEntropy.stageBSplitWeight (aShape h.val) h.property
(stageBPriority (aShape h.val) side) := by
funext b
apply Fin.ext
rfl
have hd (right : Bool) : nativeBranchDesignated (Work.stageB h) right side =
fun b => AllFieldNativeCapacity.designated (stageBPriority (aShape h.val)) side
(halfShape (aShape h.val) (below (aShape h.val))[b.val] right) := by
funext b
apply propext
change (_ ∧ _) ↔ _
exact ⟨fun hh => hh.2, fun hh => ⟨hs, hh⟩⟩
have hq (right : Bool) : branchHalfLaw (Work.stageB h) right side =
fun b a => (littleLaw (aShape h.val)
(halfShape (aShape h.val) (below (aShape h.val))[b.val] right)
(stageBPriority (aShape h.val) side) a : ℝ) := rfl
rw [ite_eq_left hs]
rw [branchConditionalCost, hl, hw]
simp_rw [hd, hq]
change _ = finiteEntropy (AllFieldNativeCapacity.stageBPairLaw
(aShape h.val) h.property (stageBPriority (aShape h.val) side)).mass -
AllFieldNativeCapacity.stageBCapacity (aShape h.val) side
dsimp only [Work.Branch, Work.Statistic, instFintypeBranch, instFintypeStatistic]
simpa only [twoHalfConditionalCost, halfShape, Bool.false_eq_true, ite_false, ite_true] using!
stageB_twoHalfConditionalCost_eq_entropy_sub_capacity _ h.property side hside
| stageC h =>
rw [ite_eq_right (show ¬ (Work.stageC h).stage ≠ 2 by simp [Work.stage])]
unfold branchConditionalCost
have hq (right : Bool) : branchHalfLaw (Work.stageC h) right side =
fun _ _ => 1 := by
funext b a
simp only [branchHalfLaw, Work.childLaw, Rat.cast_one]
simp only [hq, groupedEntropy_const_one, zero_add, mul_zero, Finset.sum_const_zero]
theorem branchConditionalCost_eq_observed (h : ActiveOrder K tick sigma)
(side : Fin 3) (hside : side ≠ 0) :
branchConditionalCost h.val.val.1 side =
observedEntropy h side - workCapacity h.val.val.1 side := by
rw [branchConditionalCost_eq _ side hside]
unfold observedEntropy
by_cases hs : h.val.val.1.stage ≠ 2
· rw [ite_eq_left hs, ite_eq_left hs]
· rw [ite_eq_right hs, ite_eq_right hs]
have hc : workCapacity h.val.val.1 side = finiteEntropy
(JointPopulationRates.sideMass (orderLaw h).mass (sigma side)) := by
rcases h with ⟨⟨⟨w, phi⟩, ht⟩, ho⟩
cases w with
| stageA a => exact False.elim (hs (by change (0 : Fin 3) ≠ 2; decide))
| stageB a => exact False.elim (hs (by change (1 : Fin 3) ≠ 2; decide))
| stageC a =>
have hh := AllFieldActiveCapacity.workCapacity_stageC_physical a phi side
simpa only [ho, orderLaw] using hh
rw [hc, sub_self]
theorem projected_native_entropy_eq (allocation : Allocation) (sigma : Placement)
(side : Fin 3) (hside : side ≠ 0) :
projectedReferenceEntropy (base (K := K) (tick := tick) allocation sigma side)
(classDesignated false side sigma)
(groupCap (base allocation sigma side) (classDesignated false side sigma)
(nativeLaw allocation false side sigma) 0) +
projectedReferenceEntropy (base (K := K) (tick := tick) allocation sigma side)
(classDesignated true side sigma)
(groupCap (base allocation sigma side) (classDesignated true side sigma)
(nativeLaw allocation true side sigma) 0) =
∑ h : ActiveOrder K tick sigma, (parentBase allocation h : ℝ) *
(observedEntropy h side - workCapacity h.val.val.1 side) := by
rw [JointProjectedGroupEntropy.projectedReferenceEntropy_eq_sum_counts_groupedEntropy,
JointProjectedGroupEntropy.projectedReferenceEntropy_eq_sum_counts_groupedEntropy,
← Finset.sum_add_distrib, Fintype.sum_prod_type]
apply Finset.sum_congr rfl
intro h _
rw [history_projected_entropy_eq allocation side hside,
branchConditionalCost_eq_observed h side hside]
end MatrixMultiplication.AllFieldGroupProjectedEntropy
end
end OAI