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Add lean source and binary files (part 84)
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import Mathlib
import OAI.LinearAlgebra.MatrixFields.Extraction.ComplexRationalTypes
import OAI.LinearAlgebra.MatrixFields.Parameters.NativeCapacity
namespace OAI
namespace MatrixAllFields
open scoped BigOperators Topology Polynomial
noncomputable section
namespace MatrixMultiplication.AllFieldNativeCapacity
open MatrixMultiplication.Foundation AllFieldParameters AllFieldHistory
open scoped BigOperators
def indexedRationalLaw (support : List Shape) (p : Shape → ℚ)
(hpos : ∀ u ∈ support, 0 ≤ p u) (htotal : (support.map p).sum = 1) :
RationalLaw (Fin support.length) where
mass j := p (support.get j)
nonneg j := hpos _ (List.get_mem _ _)
total := by
simp only [List.get_eq_getElem]
rw [Fin.sum_univ_fun_getElem]
exact htotal
def stageASplitLaw (g : Shape) (hg : g ∈ positiveInitial) :
FiniteLaw (Fin (below g).length) :=
(indexedRationalLaw (below g) (stageALaw g)
(fun u hu => (stageALaw_positive g u hu).le) (stageALaw_normalized g hg)).toFiniteLaw
def stageBSplitLaw (t : Shape) (ht : t ∈ positiveSecond) :
FiniteLaw (Fin (below t).length) :=
(indexedRationalLaw (below t) (stageBLaw t)
(fun u hu => (stageBLaw_positive t u hu).le) (stageBLaw_normalized t ht)).toFiniteLaw
def indexedMarginalLaw (support : List Shape) (p : Shape → ℚ)
(hpos : ∀ u ∈ support, 0 ≤ p u) (htotal : (support.map p).sum = 1)
(side : Fin 3) (hbound : ∀ u ∈ support, u side < 17) : FiniteLaw (Fin 17) :=
(indexedRationalLaw support p hpos htotal).toFiniteLaw.map
(fun j => ⟨support.get j side, hbound _ (List.get_mem _ _)⟩)
theorem indexedMarginalLaw_mass (support : List Shape) (p : Shape → ℚ)
(hpos : ∀ u ∈ support, 0 ≤ p u) (htotal : (support.map p).sum = 1)
(side : Fin 3) (hbound : ∀ u ∈ support, u side < 17) (k : Fin 17) :
(indexedMarginalLaw support p hpos htotal side hbound).mass k =
marginal support (fun u => (p u : ℝ)) side k := by
simp only [indexedMarginalLaw, FiniteLaw.map_mass, RationalLaw.toFiniteLaw_mass,
indexedRationalLaw, Fin.ext_iff, marginal, List.get_eq_getElem]
exact Fin.sum_univ_fun_getElem support (fun u : Shape => if u side = k.val then (p u : ℝ) else 0)
def stageAMarginalLaw (g : Shape) (hg : g ∈ positiveInitial) (side : Fin 3) :
FiniteLaw (Fin 17) :=
indexedMarginalLaw (below g) (stageALaw g)
(fun u hu => (stageALaw_positive g u hu).le) (stageALaw_normalized g hg) side
(fun _ hu => Nat.lt_succ_of_le ((below_le hu side).trans
((positiveInitial_shape_spec g hg).1 side)))
def stageBMarginalLaw (t : Shape) (ht : t ∈ positiveSecond) (side : Fin 3) :
FiniteLaw (Fin 17) :=
indexedMarginalLaw (below t) (stageBLaw t)
(fun u hu => (stageBLaw_positive t u hu).le) (stageBLaw_normalized t ht) side
(fun _ hu => Nat.lt_succ_of_le ((below_le hu side).trans
((positiveSecond_shape_spec t ht).1 side)))
theorem stageACapacity_first_entropy (g : Shape) (hg : g ∈ positiveInitial) :
stageACapacity g 0 = finiteEntropy (stageAMarginalLaw g hg 0).mass := by
rw [stageACapacity, nativeCapacity_first]
simp only [Equiv.refl_apply]
have hm : (stageAMarginalLaw g hg 0).mass =
marginal (below g) (fun u => (stageALaw g u : ℝ)) 0 := by
funext k
exact indexedMarginalLaw_mass _ _ _ _ _ _ k
rw [← hm]
exact homogeneousEntropy_normalized _ (stageAMarginalLaw g hg 0).total
theorem stageBCapacity_first_entropy (t : Shape) (ht : t ∈ positiveSecond) :
stageBCapacity t 0 =
finiteEntropy (stageBMarginalLaw t ht (stageBPriority t 0)).mass := by
rw [stageBCapacity, nativeCapacity_first]
have hm : (stageBMarginalLaw t ht (stageBPriority t 0)).mass =
marginal (below t) (fun u => (stageBLaw t u : ℝ)) (stageBPriority t 0) := by
funext k
exact indexedMarginalLaw_mass _ _ _ _ _ _ k
rw [← hm]
exact homogeneousEntropy_normalized _ (stageBMarginalLaw t ht (stageBPriority t 0)).total
def halfFiniteLaw (t : Shape) (ht : t ∈ shapes 8) (side : Fin 3) : FiniteLaw PairSlot where
mass a := (halfLaw t side a : ℝ)
nonneg a := by exact_mod_cast halfLaw_nonnegative t side a
total := by exact_mod_cast halfLaw_normalized t ht side
def littleFiniteLaw (t u : Shape) (side : Fin 3) : FiniteLaw (Fin 6) where
mass a := (littleLaw t u side a : ℝ)
nonneg a := by exact_mod_cast littleLaw_nonnegative t u side a
total := by exact_mod_cast littleLaw_normalized t u side
private theorem list_rat_cast_inline_MatrixMultiplication_AllFieldNativeLaws {I : Type*} (xs : List I) (f : I → ℚ) :
((xs.map f).sum : ℝ) = (xs.map fun i => (f i : ℝ)).sum := by
induction xs with
| nil => simp
| cons i xs ih => simp [ih]
theorem pairLaw_total {A : Type*} [Fintype A] (support : List Shape) (s : Shape)
(p : Shape → ℝ) (q : Shape → A → ℝ)
(hleft : ∀ u ∈ support, ∑ a, q u a = 1)
(hright : ∀ u ∈ support, ∑ a, q (complement s u) a = 1) :
(∑ ij : A × A, pairLaw support s p q ij) = (support.map p).sum := by
unfold pairLaw
induction support with
| nil => simp
| cons u us ih =>
have hl := hleft u (by simp)
have hr := hright u (by simp)
have hh : (∑ ij : A × A, p u * q u ij.1 * q (complement s u) ij.2) = p u := by
simp [Fintype.sum_prod_type, ← Finset.mul_sum, hl, hr]
have ht := ih (fun v hv => hleft v (by simp [hv]))
(fun v hv => hright v (by simp [hv]))
simpa only [List.map_cons, List.sum_cons, Finset.sum_add_distrib, hh] using
congrArg (fun x => p u + x) ht
def pairFiniteLaw {A : Type*} [Fintype A] (support : List Shape) (s : Shape)
(p : Shape → ℝ) (q : Shape → A → ℝ)
(hpos : ∀ u ∈ support, 0 ≤ p u) (htotal : (support.map p).sum = 1)
(hqpos : ∀ u a, 0 ≤ q u a)
(hleft : ∀ u ∈ support, ∑ a, q u a = 1)
(hright : ∀ u ∈ support, ∑ a, q (complement s u) a = 1) : FiniteLaw (A × A) where
mass := pairLaw support s p q
nonneg ij := by
apply List.sum_nonneg
intro x hx
obtain ⟨u, hu, rfl⟩ := List.mem_map.mp hx
exact mul_nonneg (mul_nonneg (hpos u hu) (hqpos u ij.1))
(hqpos (complement s u) ij.2)
total := (pairLaw_total support s p q hleft hright).trans htotal
def stageAPairLaw (g : Shape) (hg : g ∈ positiveInitial) (side : Fin 3) :
FiniteLaw (PairSlot × PairSlot) :=
pairFiniteLaw (below g) g (fun u => (stageALaw g u : ℝ))
(fun u a => (halfLaw u side a : ℝ))
(fun u hu => Rat.cast_nonneg.mpr (stageALaw_positive g u hu).le)
(by rw [← list_rat_cast_inline_MatrixMultiplication_AllFieldNativeLaws, stageALaw_normalized g hg]; norm_num)
(fun u a => Rat.cast_nonneg.mpr (halfLaw_nonnegative u side a))
(fun u hu => (halfFiniteLaw u (stageA_children_size g hg u hu) side).total)
(fun u hu => (halfFiniteLaw (complement g u)
(stageA_children_size g hg _ (stageA_support_complement g hg u hu).1) side).total)
def stageBPairLaw (t : Shape) (ht : t ∈ positiveSecond) (side : Fin 3) :
FiniteLaw (Fin 6 × Fin 6) :=
pairFiniteLaw (below t) t (fun u => (stageBLaw t u : ℝ))
(fun u a => (littleLaw t u side a : ℝ))
(fun u hu => Rat.cast_nonneg.mpr (stageBLaw_positive t u hu).le)
(by rw [← list_rat_cast_inline_MatrixMultiplication_AllFieldNativeLaws, stageBLaw_normalized t ht]; norm_num)
(fun u a => Rat.cast_nonneg.mpr (littleLaw_nonnegative t u side a))
(fun u _ => (littleFiniteLaw t u side).total)
(fun u _ => (littleFiniteLaw t (complement t u) side).total)
theorem stageACapacity_sharing (g : Shape) (hg : g ∈ positiveInitial)
(i : Fin 3) (hi : i ≠ 0) :
stageACapacity g i = finiteEntropy (stageAPairLaw g hg i).mass -
2 * groupedEntropy (below g) (fun u => (stageALaw g u : ℝ))
(Equiv.refl (Fin 3)) i (fun u a => (halfLaw u i a : ℝ)) := by
rw [stageACapacity, nativeCapacity_sharing _ _ _ _ _ i hi]
congr 1
exact homogeneousEntropy_normalized _ (stageAPairLaw g hg i).total
theorem stageBCapacity_sharing (t : Shape) (ht : t ∈ positiveSecond)
(i : Fin 3) (hi : i ≠ 0) :
stageBCapacity t i = finiteEntropy (stageBPairLaw t ht (stageBPriority t i)).mass -
2 * groupedEntropy (below t) (fun u => (stageBLaw t u : ℝ))
(stageBPriority t) i (fun u a => (littleLaw t u (stageBPriority t i) a : ℝ)) := by
rw [stageBCapacity, nativeCapacity_sharing _ _ _ _ _ i hi]
congr 1
exact homogeneousEntropy_normalized _ (stageBPairLaw t ht (stageBPriority t i)).total
end MatrixMultiplication.AllFieldNativeCapacity
end
end MatrixAllFields
end OAI