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Add lean source and binary files (part 84)
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import OAI.LinearAlgebra.MatrixMultiplication.JointExtraction.CanonicalCW
import Mathlib.Tactic.FinCases
namespace OAI
/-! Joint tensor extraction, compatibility and entropy estimates. -/
noncomputable section
namespace MatrixMultiplication.JointCanonicalInitial
open MatrixMultiplication.Foundation JointPopulation JointCanonicalization JointCanonicalCW
open InheritedMasks CWStrands
open scoped BigOperators
attribute [local instance] Classical.propDecidable
variable {H F : Type*} [Fintype H] [DecidableEq H] [CommRing F]
(counts : H → Shape → ℕ)
abbrev Word := Fin 8 → Fin 7
abbrev RawWords := ∀ h, Positions counts h → Word
abbrev CanonicalWords := ∀ c : ClassKey (H := H), ClassPositions counts c → Word
def wholeEquiv (e : Target counts) : RawWords counts ≃ CanonicalWords counts where
toFun w := fun c j => w c.1 ((positionEquiv counts e c.1).symm ⟨c.2, j⟩)
invFun w := fun h i => w (h, (e h).val i) (positionEquiv counts e h i).2
left_inv w := by
funext h i
change w h ((positionEquiv counts e h).symm (positionEquiv counts e h i)) = w h i
simp
right_inv w := by
funext c j
exact congrArg (fun p : Σ u, Fin (counts c.1 u) => w (c.1, p.1) p.2)
((positionEquiv counts e c.1).apply_symm_apply ⟨c.2, j⟩)
def rawSource : Tensor F (RawWords counts) (RawWords counts) (RawWords counts) :=
classProduct (fun _ : H => strand (Fin 8))
def coarseWord (w : RawWords counts) : Position counts → Fin 17 :=
fun i => CWCoarseIndices.coarseIndex (by simp) (w i.1 i.2)
def ideal (e : Target counts) : Tensor F (RawWords counts) (RawWords counts)
(RawWords counts) :=
JointIdealBranches.ideal (rawSource counts) (coarseWord counts) (coarseWord counts)
(coarseWord counts) (fun _ _ => True) (fun _ _ => True) (fun _ _ => True)
(triple counts e)
def canonical : Tensor F (CanonicalWords counts) (CanonicalWords counts)
(CanonicalWords counts) :=
classProduct (fun c : ClassKey (H := H) => shapeTensor (Fin 8) (shapeNat c.2))
omit [DecidableEq H] in
theorem canonical_pack (e : Target counts) (x y z : RawWords counts) :
canonical counts (wholeEquiv counts e x) (wholeEquiv counts e y)
(wholeEquiv counts e z) =
∏ h, ∏ i, shapeTensor (F := F) (Fin 8) (shapeNat ((e h).val i))
(x h i) (y h i) (z h i) := by
unfold canonical classProduct
rw [Fintype.prod_prod_type]
apply Finset.prod_congr rfl
intro h _
rw [← Fintype.prod_sigma']
apply Fintype.prod_equiv (positionEquiv counts e h).symm
intro i
simp only [wholeEquiv, Equiv.coe_fn_mk, positionEquiv_symm_shape]
omit [DecidableEq H] in
theorem ideal_eq_canonical (e : Target counts) (x y z : RawWords counts) :
ideal (F := F) counts e x y z = canonical counts (wholeEquiv counts e x)
(wholeEquiv counts e y) (wholeEquiv counts e z) := by
rw [canonical_pack]
simp only [ideal, JointIdealBranches.ideal, ExactRecovery.delete, and_true,
rawSource, classProduct, shapeTensor, Fintype.prod_ite_zero, forall_and]
congr 1
simp [coarseWord, triple, shapeNat, shapeSide, CWCoarseIndices.coarseIndex,
funext_iff, Fin.ext_iff, Sigma.forall]
def coordinateMatrix (e : Target counts) : CanonicalWords counts → RawWords counts → F :=
fun x v => if v = (wholeEquiv counts e).symm x then 1 else 0
theorem ideal_restrict (e : Target counts) :
Tensor.restrict (coordinateMatrix (F := F) counts e) (coordinateMatrix counts e)
(coordinateMatrix counts e) (ideal counts e) = canonical counts := by
funext x y z
simp only [Tensor.restrict, coordinateMatrix]
simp only [ite_mul, mul_ite, zero_mul, mul_zero, one_mul, Finset.sum_ite_eq',
Finset.mem_univ, ↓reduceIte]
rw [ideal_eq_canonical]
simp
omit [DecidableEq H] in
theorem coarse_support (x y z : RawWords counts)
(hT : rawSource (F := F) counts x y z ≠ 0) (i : Position counts) :
(coarseWord counts x i).val + (coarseWord counts y i).val +
(coarseWord counts z i).val = 16 := by
have hh : strand (F := F) (Fin 8) (x i.1 i.2) (y i.1 i.2) (z i.1 i.2) ≠ 0 := by
intro hz
apply hT
unfold rawSource classProduct
apply Finset.prod_eq_zero (Finset.mem_univ i.1)
exact Finset.prod_eq_zero (Finset.mem_univ i.2) hz
simpa [coarseWord] using
CWCoarseIndices.strand_coarse_support (F := F) (by simp)
(x i.1 i.2) (y i.1 i.2) (z i.1 i.2) hh
def sideMask (s : Fin 3) (w : RawWords counts) : Prop :=
∀ h a, wordPopulation (fun i => coarseWord counts w ⟨h, i⟩) a =
wordPopulation (sideWord counts s (triple counts (canonicalTarget counts)) h) a
def maskedSource : Tensor F (RawWords counts) (RawWords counts) (RawWords counts) :=
ExactRecovery.delete (rawSource counts) (sideMask counts 0) (sideMask counts 1)
(sideMask counts 2)
omit [Fintype H] [DecidableEq H] in
theorem sideMask_of_target (s : Fin 3) (e : Target counts) (w : RawWords counts)
(he : coarseWord counts w =
fun i => sideWord counts s (triple counts e) i.1 i.2) :
sideMask counts s w := by
intro h a
rw [he]
exact marginal_population_eq counts e (canonicalTarget counts) h s a
theorem maskedSource_support (x y z : RawWords counts)
(hT : maskedSource (F := F) counts x y z ≠ 0) :
(coarseWord counts x, coarseWord counts y, coarseWord counts z) ∈
ambientSet counts (fun _ => 16) := by
have hm : sideMask counts 0 x ∧ sideMask counts 1 y ∧ sideMask counts 2 z := by
by_contra hn
simp [maskedSource, ExactRecovery.delete, hn] at hT
have hr : rawSource (F := F) counts x y z ≠ 0 := by
simpa [maskedSource, ExactRecovery.delete, hm] using hT
apply Finset.mem_filter.mpr
refine ⟨Finset.mem_univ _, ?_, ?_⟩
· intro i
exact coarse_support counts x y z hr i
· intro h s a
fin_cases s
· refine Eq.trans ?_ (hm.1 h a)
apply congrArg (fun v : Positions counts h → Fin 17 => wordPopulation v a)
funext i
simp [sideWord, shapeSide]
· refine Eq.trans ?_ (hm.2.1 h a)
apply congrArg (fun v : Positions counts h → Fin 17 => wordPopulation v a)
funext i
simp [sideWord, shapeSide]
· refine Eq.trans ?_ (hm.2.2 h a)
apply congrArg (fun v : Positions counts h → Fin 17 => wordPopulation v a)
funext i
simp [sideWord, shapeSide]
omit [DecidableEq H] in
theorem ideal_support_masks (e : Target counts) (x y z : RawWords counts)
(hT : ideal (F := F) counts e x y z ≠ 0) :
sideMask counts 0 x ∧ sideMask counts 1 y ∧ sideMask counts 2 z := by
have hc : coarseWord counts x = (triple counts e).1 ∧
coarseWord counts y = (triple counts e).2.1 ∧
coarseWord counts z = (triple counts e).2.2 := by
by_contra hn
simp [ideal, JointIdealBranches.ideal, ExactRecovery.delete, hn] at hT
constructor
· apply sideMask_of_target counts 0 e x
simpa [sideWord, shapeSide] using hc.1
constructor
· apply sideMask_of_target counts 1 e y
simpa [sideWord, shapeSide] using hc.2.1
· apply sideMask_of_target counts 2 e z
simpa [sideWord, shapeSide] using hc.2.2
omit [DecidableEq H] in
theorem delete_ideal_eq (e : Target counts) :
ExactRecovery.delete (ideal (F := F) counts e) (sideMask counts 0)
(sideMask counts 1) (sideMask counts 2) = ideal counts e := by
funext x y z
by_cases h : ideal (F := F) counts e x y z = 0
· rw [ExactRecovery.delete, h]
simp
· rw [ExactRecovery.delete, ite_eq_left (ideal_support_masks counts e x y z h)]
end MatrixMultiplication.JointCanonicalInitial
end
end OAI