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import OAI.LinearAlgebra.MatrixMultiplication.FieldGroups.PairWindows
import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.ConditionalCountEntropy
namespace OAI
/-! Group assignments, orbit counts and extraction capacities. -/
noncomputable section
namespace MatrixMultiplication.AllFieldGroupPairEntropy
open MatrixMultiplication.Foundation AllFieldParameters AllFieldHistory AllFieldActiveLaws
open AllFieldActiveCapacity AllFieldHistoryChildLaws AllFieldGroupOrbitData
open AllFieldGroupDegrees AllFieldGroupNativeLaws AllFieldGroupPairWindows
open JointCompatibilityScaling JointCompatibilityRateLimit JointPairClassWindows
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
theorem sum_conditionalCenter_entropy {A B : Type*} [Fintype A] [Fintype B]
[DecidableEq B] (p : FiniteLaw A) (f : A → B) :
(∑ b, (p.map f).mass b * finiteEntropy
(conditionalCenter f b p.mass ((p.map f).mass b))) =
finiteEntropy p.mass - finiteEntropy (p.map f).mass := by
have ht (b : B) :
(p.map f).mass b * finiteEntropy
(conditionalCenter f b p.mass ((p.map f).mass b)) =
(p.map f).mass b * finiteEntropy (p.conditional f b).mass := by
by_cases hz : (p.map f).mass b = 0
· simp only [hz, zero_mul]
· congr 1
congr 1
funext a
simp only [conditionalCenter, FiniteLaw.conditional, dite_eq_right hz]
split_ifs <;> simp
simp_rw [ht]
have he := p.entropy_eq_map_add_conditional f
linarith
variable {K tick : ℕ} {sigma : Placement}
theorem baseSize_eq_parentBase_mul_sideMass (allocation : Allocation)
(sigma : Placement) (side : Fin 3) (h : ActiveOrder K tick sigma) (k : Fin 17) :
(baseSize (base allocation sigma side) (h, k) : ℝ) =
(parentBase allocation h : ℝ) *
JointPopulationRates.sideMass (orderLaw h).mass (sigma side) k := by
simp only [baseSize, base, JointPopulationCompatibility.classCounts,
Nat.cast_sum, Nat.cast_ite, Nat.cast_zero, JointPopulationRates.sideMass,
Finset.mul_sum]
apply Finset.sum_congr rfl
intro u _
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]
theorem classMass_eq_sideMass (allocation : Allocation) (sigma : Placement)
(side : Fin 3) (c : Class (K := K) (tick := tick) sigma) :
classMass allocation sigma side c =
JointPopulationRates.sideMass (orderLaw c.1).mass (sigma side) c.2 := by
rcases c with ⟨h, k⟩
unfold classMass
rw [baseSize_eq_parentBase_mul_sideMass]
exact mul_div_cancel_left₀ _ (by exact_mod_cast (parentBase_pos allocation h).ne')
theorem nativePair_weight_marginal {K : ℕ} (w : Work K) (side : Fin 3)
(hs : w.stage ≠ 2) :
((nativePairLaw w side).map (fun a => weightCode w a.1)).mass =
canonicalSideMass w side := by
cases w with
| stageA h =>
rw [canonicalSideMass_stageA]
exact congrArg FiniteLaw.mass
(AllFieldPairMarginals.stageAPairLaw_leftWeight_marginal _ h.property side)
| stageB h =>
rw [canonicalSideMass_stageB]
exact congrArg FiniteLaw.mass
(AllFieldPairMarginals.stageBPairLaw_leftWeight_marginal _ h.property side)
| stageC h => exact False.elim (hs rfl)
theorem orderPair_weight_marginal (h : ActiveOrder K tick sigma) (side : Fin 3)
(hs : h.val.val.1.stage ≠ 2) :
((nativePairLaw h.val.val.1 (h.val.val.1.priority side)).map
(fun a => weightCode h.val.val.1 a.1)).mass =
JointPopulationRates.sideMass (orderLaw h).mass (sigma side) := by
rw [nativePair_weight_marginal _ _ hs]
have hm := placedLaw_priority_sideMass h.val.val side
rw [h.property] at hm
exact hm.symm
theorem q_eq_native_conditionalCenter (allocation : Allocation) (sigma : Placement)
(side : Fin 3) (c : Class (K := K) (tick := tick) sigma)
(hs : c.1.val.val.1.stage ≠ 2) :
q allocation sigma side c = conditionalCenter
(fun a => weightCode c.1.val.val.1 a.1) c.2
(nativePairLaw c.1.val.val.1 (c.1.val.val.1.priority side)).mass
(((nativePairLaw c.1.val.val.1 (c.1.val.val.1.priority side)).map
(fun a => weightCode c.1.val.val.1 a.1)).mass c.2) := by
rw [q_eq_conditionalCenter allocation sigma side c hs, classMass_eq_sideMass,
orderPair_weight_marginal _ _ hs]
have hp : parentPair allocation sigma side c.1 =
(nativePairLaw c.1.val.val.1 (c.1.val.val.1.priority side)).mass := by
funext a
rw [parentPair_eq_native, orderPairMixture_eq_native]
rw [hp]
theorem history_pair_entropy_of_sharing (allocation : Allocation) (sigma : Placement)
(side : Fin 3) (h : ActiveOrder K tick sigma) (hs : h.val.val.1.stage ≠ 2) :
(∑ k : Fin 17, (baseSize (base allocation sigma side) (h, k) : ℝ) *
finiteEntropy (q allocation sigma side (h, k))) =
(parentBase allocation h : ℝ) *
(finiteEntropy (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass -
finiteEntropy (JointPopulationRates.sideMass (orderLaw h).mass (sigma side))) := by
have hq (k : Fin 17) := q_eq_native_conditionalCenter allocation sigma side (h, k) hs
simp_rw [baseSize_eq_parentBase_mul_sideMass, hq, mul_assoc]
rw [← Finset.mul_sum]
simpa only [orderPair_weight_marginal h side hs] using
congrArg (fun x : ℝ => (parentBase allocation h : ℝ) * x)
(sum_conditionalCenter_entropy
(nativePairLaw h.val.val.1 (h.val.val.1.priority side))
(fun a => weightCode h.val.val.1 a.1))
theorem history_pair_entropy_of_ordinary (allocation : Allocation) (sigma : Placement)
(side : Fin 3) (h : ActiveOrder K tick sigma) (hs : h.val.val.1.stage = 2) :
(∑ k : Fin 17, (baseSize (base allocation sigma side) (h, k) : ℝ) *
finiteEntropy (q allocation sigma side (h, k))) = 0 := by
have : Subsingleton (Statistic h.val) := by
change Subsingleton h.val.val.1.Statistic
cases he : h.val.val.1 with
| stageA a => simp [he, Work.stage] at hs
| stageB a => simp [he, Work.stage] at hs
| stageC a => dsimp [Work.Statistic]; infer_instance
apply Finset.sum_eq_zero
intro k _
by_cases hz : baseSize (base allocation sigma side) (h, k) = 0
· simp only [hz, Nat.cast_zero, zero_mul]
· have hq : q allocation sigma side (h, k) = fun _ => 1 := by
funext a
exact q_eq_one_of_subsingleton allocation sigma side (h, k)
(Nat.pos_of_ne_zero hz) a
simp only [hq, finiteEntropy, entropyTerm, Real.log_one, mul_zero,
Finset.sum_const_zero]
theorem pairReferenceEntropy_eq (allocation : Allocation) (sigma : Placement)
(side : Fin 3) :
pairReferenceEntropy (base (K := K) (tick := tick) allocation sigma side)
(q allocation sigma side) =
∑ h : ActiveOrder K tick sigma, (parentBase allocation h : ℝ) *
(if h.val.val.1.stage ≠ 2 then
finiteEntropy (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass -
finiteEntropy (JointPopulationRates.sideMass (orderLaw h).mass (sigma side))
else 0) := by
unfold pairReferenceEntropy
rw [Fintype.sum_prod_type]
apply Finset.sum_congr rfl
intro h _
by_cases hs : h.val.val.1.stage ≠ 2
· rw [ite_eq_left hs]
exact history_pair_entropy_of_sharing allocation sigma side h hs
· rw [ite_eq_right hs, mul_zero]
exact history_pair_entropy_of_ordinary allocation sigma side h (not_not.mp hs)
theorem baseEntropy_eq (allocation : Allocation) (sigma : Placement) (side : Fin 3) :
baseEntropy (base (K := K) (tick := tick) allocation sigma side) =
∑ h : ActiveOrder K tick sigma, (parentBase allocation h : ℝ) *
(finiteEntropy (orderLaw h).mass -
finiteEntropy (JointPopulationRates.sideMass (orderLaw h).mass (sigma side))) := by
unfold baseEntropy
rw [Fintype.sum_prod_type]
apply Finset.sum_congr rfl
intro h _
have hb (k : Fin 17) : base allocation sigma side (h, k) =
JointConditionalCountEntropy.classCounts (Counts allocation 1 sigma h)
(JointPopulation.shapeSide (sigma side)) k := by
funext u
by_cases hu : JointPopulation.shapeSide (sigma side) u = k
· simp only [base, JointPopulationCompatibility.classCounts,
JointConditionalCountEntropy.classCounts, hu, ite_true]
· simp only [base, JointPopulationCompatibility.classCounts,
JointConditionalCountEntropy.classCounts, hu, ite_false]
have hs (k : Fin 17) : baseSize (base allocation sigma side) (h, k) =
JointConditionalCountEntropy.classSize (Counts allocation 1 sigma h)
(JointPopulation.shapeSide (sigma side)) k := by
simp only [baseSize, JointConditionalCountEntropy.classSize, hb k]
have hm : ((orderLaw h).map (JointPopulation.shapeSide (sigma side))).mass =
JointPopulationRates.sideMass (orderLaw h).mass (sigma side) := by
funext k
rw [FiniteLaw.map_mass]
rfl
have he := JointConditionalCountEntropy.sum_classSize_mul_entropy_of_law
(Counts allocation 1 sigma h) (JointPopulation.shapeSide (sigma side))
(orderLaw h) (parentBase allocation h : ℝ)
(fun u => jointCounts_cast allocation 1 h.val.val u)
rw [hm] at he
simpa only [hs, hb] using he
def observedEntropy (h : ActiveOrder K tick sigma) (side : Fin 3) : ℝ :=
if h.val.val.1.stage ≠ 2 then
finiteEntropy (nativePairLaw h.val.val.1 (h.val.val.1.priority side)).mass
else finiteEntropy (JointPopulationRates.sideMass (orderLaw h).mass (sigma side))
theorem baseEntropy_sub_pairReferenceEntropy (allocation : Allocation)
(sigma : Placement) (side : Fin 3) :
baseEntropy (base (K := K) (tick := tick) allocation sigma side) -
pairReferenceEntropy (base (K := K) (tick := tick) allocation sigma side)
(q allocation sigma side) =
∑ h : ActiveOrder K tick sigma, (parentBase allocation h : ℝ) *
(finiteEntropy (orderLaw h).mass - observedEntropy h side) := by
rw [baseEntropy_eq, pairReferenceEntropy_eq, ← Finset.sum_sub_distrib]
apply Finset.sum_congr rfl
intro h _
unfold observedEntropy
split_ifs <;> ring
end MatrixMultiplication.AllFieldGroupPairEntropy
end
end OAI