roseking's picture
Add lean source and binary files (part 84)
cdec422 verified
Raw History Blame Contribute Delete
12.1 kB
import OAI.LinearAlgebra.MatrixMultiplication.FieldConstruction.ActiveLaws
import Mathlib.Data.Rat.BigOperators
namespace OAI
/-! Tensor extraction over arbitrary fields and its asymptotic rate. -/
noncomputable section
namespace MatrixMultiplication.AllFieldActiveGibbs
open AllFieldParameters AllFieldHistory AllFieldActiveLaws MatrixMultiplication.Foundation
open scoped BigOperators
attribute [local instance] Classical.propDecidable Classical.decEq
def splitCoordinateWeight (parents : List Shape) (data : List ℤ)
(s : Shape) (i : Fin 3) (k : ℕ) : ℝ :=
(weight (assigned (splitKeys parents) data (s, i, min k (s i - k))) : ℝ)
def splitPotential (parents : List Shape) (data : List ℤ)
(s : Shape) (i : Fin 3) (k : ℕ) : ℝ :=
Real.log (splitCoordinateWeight parents data s i k)
def splitNormalizer (parents : List Shape) (data : List ℤ) (s : Shape) : ℝ :=
(((below s).map (splitWeight parents data s)).sum : ℚ)
def splitLogNormalizer (parents : List Shape) (data : List ℤ) (s : Shape) : ℝ :=
Real.log (splitNormalizer parents data s)
theorem splitCoordinateWeight_pos (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s : Shape) (i : Fin 3) (k : ℕ) :
0 < splitCoordinateWeight parents data s i k := by
apply Rat.cast_pos.mpr
exact weight_positive_of_argument_bound _ (assigned_argument_bound _ data hd _)
theorem splitNormalizer_pos (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s : Shape) (hne : below s ≠ []) :
0 < splitNormalizer parents data s := by
apply Rat.cast_pos.mpr
exact list_sum_map_positive _ _ hne (fun u _ => splitWeight_positive parents data hd s u)
theorem splitWeight_log (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s u : Shape) :
Real.log (splitWeight parents data s u : ℝ) =
∑ i : Fin 3, splitPotential parents data s i (u i) := by
have hweight (i : Fin 3) : (weight (splitSignature parents data s u i) : ℝ) ≠ 0 :=
ne_of_gt (splitCoordinateWeight_pos parents data hd s i (u i))
rw [splitWeight, Rat.cast_prod, Real.log_prod (s := Finset.univ) (fun i _ => hweight i)]
rfl
theorem splitLaw_log (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s u : Shape) (hu : u ∈ below s) :
Real.log (splitLaw parents data s u : ℝ) =
(∑ i : Fin 3, splitPotential parents data s i (u i)) -
splitLogNormalizer parents data s := by
have hweight : (splitWeight parents data s u : ℝ) ≠ 0 := by
exact_mod_cast ne_of_gt (splitWeight_positive parents data hd s u)
have hne : below s ≠ [] := by
intro he
simp only [he, List.not_mem_nil] at hu
have hnormal := ne_of_gt (splitNormalizer_pos parents data hd s hne)
rw [splitLaw, ite_eq_left hu, Rat.cast_div]
change Real.log ((splitWeight parents data s u : ℝ) / splitNormalizer parents data s) = _
rw [Real.log_div hweight hnormal, splitWeight_log parents data hd]
rfl
theorem splitLaw_positive_iff (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s u : Shape) :
0 < (splitLaw parents data s u : ℝ) ↔ u ∈ below s := by
constructor
· intro hp
by_contra hu
rw [splitLaw_outside_support parents data s u hu] at hp
norm_num at hp
· intro hu
exact_mod_cast splitLaw_positive parents data hd s u hu
def physicalPotential (parents : List Shape) (data : List ℤ) (s : Shape)
(phi : Placement) (i : Fin 3) (k : Fin 17) : ℝ :=
splitPotential parents data s (phi.symm i) k.val
theorem splitLaw_log_physical (parents : List Shape) (data : List ℤ)
(hd : ∀ n ∈ data, |n| ≤ 160000) (s u : Shape) (hu : u ∈ below s)
(hb : ShapeBounded u) (phi : Placement) :
Real.log (splitLaw parents data s u : ℝ) =
physicalPotential parents data s phi 0 (JointPopulation.shapeSide 0 (encodePhysicalShape phi u hb)) +
physicalPotential parents data s phi 1 (JointPopulation.shapeSide 1 (encodePhysicalShape phi u hb)) +
physicalPotential parents data s phi 2 (JointPopulation.shapeSide 2 (encodePhysicalShape phi u hb)) -
splitLogNormalizer parents data s := by
rw [splitLaw_log parents data hd s u hu]
have hsum : (∑ i : Fin 3, splitPotential parents data s i (u i)) =
∑ i : Fin 3, physicalPotential parents data s phi i
(JointPopulation.shapeSide i (encodePhysicalShape phi u hb)) := by
simp only [physicalPotential, encodePhysicalShape_side]
exact (phi.symm.sum_comp (fun i => splitPotential parents data s i (u i))).symm
rw [hsum, Fin.sum_univ_three]
theorem placedLaw_positive_has_branch {K : ℕ} (w : PlacedWork K)
(u : JointPopulation.Shape) (hu : 0 < (placedLaw w).mass u) :
∃ b : w.1.Branch, branchShape w b = u := by
by_contra hn
have hz : (placedLaw w).mass u = 0 := by
rw [placedLaw_mass]
apply Finset.sum_eq_zero
intro b _
exact ite_eq_right (fun hb => hn ⟨b, hb⟩)
rw [hz] at hu
exact lt_irrefl 0 hu
theorem placedLaw_stageA_branch_log {K : ℕ} (h : InitialPositive K)
(phi : Placement) (b : ASplit h) :
Real.log ((placedLaw (Work.stageA h, phi)).mass (branchShape (Work.stageA h, phi) b)) =
physicalPotential positiveInitial tableP (initialShape h.val) phi 0
(JointPopulation.shapeSide 0 (branchShape (Work.stageA h, phi) b)) +
physicalPotential positiveInitial tableP (initialShape h.val) phi 1
(JointPopulation.shapeSide 1 (branchShape (Work.stageA h, phi) b)) +
physicalPotential positiveInitial tableP (initialShape h.val) phi 2
(JointPopulation.shapeSide 2 (branchShape (Work.stageA h, phi) b)) -
splitLogNormalizer positiveInitial tableP (initialShape h.val) := by
change (Work.stageA h).Branch at b
rw [placedLaw_mass_branch]
exact splitLaw_log_physical positiveInitial tableP stageA_table_arguments_bounded
(initialShape h.val) (aSplit ⟨h, b, false⟩) (aSplit_mem ⟨h, b, false⟩)
((Work.stageA h).splitShape_spec b).1 phi
theorem placedLaw_stageB_branch_log {K : ℕ} (h : APositive K)
(phi : Placement) (b : BSplit h) :
Real.log ((placedLaw (Work.stageB h, phi)).mass (branchShape (Work.stageB h, phi) b)) =
physicalPotential positiveSecond tablep (aShape h.val) phi 0
(JointPopulation.shapeSide 0 (branchShape (Work.stageB h, phi) b)) +
physicalPotential positiveSecond tablep (aShape h.val) phi 1
(JointPopulation.shapeSide 1 (branchShape (Work.stageB h, phi) b)) +
physicalPotential positiveSecond tablep (aShape h.val) phi 2
(JointPopulation.shapeSide 2 (branchShape (Work.stageB h, phi) b)) -
splitLogNormalizer positiveSecond tablep (aShape h.val) := by
change (Work.stageB h).Branch at b
rw [placedLaw_mass_branch]
exact splitLaw_log_physical positiveSecond tablep stageB_table_arguments_bounded
(aShape h.val) (bSplit ⟨h, b, false⟩) (bSplit_mem ⟨h, b, false⟩)
((Work.stageB h).splitShape_spec b).1 phi
theorem placedLaw_stageA_log {K : ℕ} (h : InitialPositive K) (phi : Placement)
(u : JointPopulation.Shape) (hu : 0 < (placedLaw (Work.stageA h, phi)).mass u) :
Real.log ((placedLaw (Work.stageA h, phi)).mass u) =
physicalPotential positiveInitial tableP (initialShape h.val) phi 0 (JointPopulation.shapeSide 0 u) +
physicalPotential positiveInitial tableP (initialShape h.val) phi 1 (JointPopulation.shapeSide 1 u) +
physicalPotential positiveInitial tableP (initialShape h.val) phi 2 (JointPopulation.shapeSide 2 u) -
splitLogNormalizer positiveInitial tableP (initialShape h.val) := by
obtain ⟨b, rfl⟩ := placedLaw_positive_has_branch (Work.stageA h, phi) u hu
exact placedLaw_stageA_branch_log h phi b
theorem placedLaw_stageB_log {K : ℕ} (h : APositive K) (phi : Placement)
(u : JointPopulation.Shape) (hu : 0 < (placedLaw (Work.stageB h, phi)).mass u) :
Real.log ((placedLaw (Work.stageB h, phi)).mass u) =
physicalPotential positiveSecond tablep (aShape h.val) phi 0 (JointPopulation.shapeSide 0 u) +
physicalPotential positiveSecond tablep (aShape h.val) phi 1 (JointPopulation.shapeSide 1 u) +
physicalPotential positiveSecond tablep (aShape h.val) phi 2 (JointPopulation.shapeSide 2 u) -
splitLogNormalizer positiveSecond tablep (aShape h.val) := by
obtain ⟨b, rfl⟩ := placedLaw_positive_has_branch (Work.stageB h, phi) u hu
exact placedLaw_stageB_branch_log h phi b
theorem mem_shapes_of_total (u : Shape) (n : ℕ)
(h : shapeTotal u = n) : u ∈ shapes n := by
dsimp [shapeTotal] at h
simp only [shapes, List.mem_flatMap, List.mem_map, List.mem_range]
refine ⟨u 0, by omega, u 1, by omega, ?_⟩
funext i
fin_cases i
· rfl
· rfl
· change n - u 0 - u 1 = u 2
omega
theorem mem_below_iff (s u : Shape) :
u ∈ below s ↔ shapeTotal u = shapeTotal s / 2 ∧ ∀ i, u i ≤ s i := by
constructor
· intro hu
exact ⟨below_total hu, below_le hu⟩
· rintro ⟨ht, hle⟩
apply List.mem_filter.mpr
refine ⟨mem_shapes_of_total u _ ht, ?_⟩
simpa only [Bool.and_eq_true, decide_eq_true_eq, and_assoc] using
And.intro (hle 0) (And.intro (hle 1) (hle 2))
theorem splitShape_exhaustive {K : ℕ} (w : Work K)
(u : Shape) (hu : u ∈ below w.parentShape) :
∃ b : w.Branch, w.splitShape b = u := by
cases w with
| stageA h =>
change u ∈ below (initialShape h.val) at hu
obtain ⟨b, hb⟩ := List.mem_iff_get.mp hu
exact ⟨b, hb⟩
| stageB h =>
change u ∈ below (aShape h.val) at hu
obtain ⟨b, hb⟩ := List.mem_iff_get.mp hu
exact ⟨b, hb⟩
| stageC h =>
exact stageCAtom_exhaustive _ (bShape_size h.1.val) h.1.property u hu
theorem branchShape_exhaustive {K : ℕ} (w : PlacedWork K)
(u : JointPopulation.Shape)
(ht : u.1.val + u.2.1.val + u.2.2.val = 2 * w.1.halfLength)
(hle : ∀ i, (JointPopulation.shapeSide i u).val ≤
physicalShape w.2 w.1.parentShape i) :
∃ b : w.1.Branch, branchShape w b = u := by
let v : Shape := physicalShape w.2.symm (decodeShape u)
have hvt : shapeTotal v = 2 * w.1.halfLength := by
dsimp [v]
rw [physicalShape_total]
exact ht
have hvl : ∀ i, v i ≤ w.1.parentShape i := by
intro i
simpa only [v, physicalShape, decodeShape, Equiv.symm_symm,
Equiv.symm_apply_apply] using hle (w.2 i)
have hv : v ∈ below w.1.parentShape := by
apply (mem_below_iff _ _).2
refine ⟨?_, hvl⟩
rw [hvt, (w.1.parentShape_spec).2]
omega
obtain ⟨b, hb⟩ := splitShape_exhaustive w.1 v hv
refine ⟨b, ?_⟩
have hd : decodeShape (branchShape w b) = decodeShape u := by
rw [branchShape, decode_encodePhysicalShape, hb]
funext i
simp only [v, physicalShape, Equiv.symm_symm, Equiv.apply_symm_apply]
apply Prod.ext
· exact Fin.ext (congrFun hd 0)
· apply Prod.ext
· exact Fin.ext (congrFun hd 1)
· exact Fin.ext (congrFun hd 2)
theorem placedLaw_stageA_positive {K : ℕ} (h : InitialPositive K) (phi : Placement)
(u : JointPopulation.Shape) (ht : u.1.val + u.2.1.val + u.2.2.val = 8)
(hle : ∀ i, (JointPopulation.shapeSide i u).val ≤
physicalShape phi (initialShape h.val) i) :
0 < (placedLaw (Work.stageA h, phi)).mass u := by
obtain ⟨b, rfl⟩ := branchShape_exhaustive (Work.stageA h, phi) u ht hle
rw [placedLaw_mass_branch]
exact_mod_cast stageALaw_positive (initialShape h.val) (aSplit ⟨h, b, false⟩)
(aSplit_mem ⟨h, b, false⟩)
theorem placedLaw_stageB_positive {K : ℕ} (h : APositive K) (phi : Placement)
(u : JointPopulation.Shape) (ht : u.1.val + u.2.1.val + u.2.2.val = 4)
(hle : ∀ i, (JointPopulation.shapeSide i u).val ≤
physicalShape phi (aShape h.val) i) :
0 < (placedLaw (Work.stageB h, phi)).mass u := by
obtain ⟨b, rfl⟩ := branchShape_exhaustive (Work.stageB h, phi) u ht hle
rw [placedLaw_mass_branch]
exact_mod_cast stageBLaw_positive (aShape h.val) (bSplit ⟨h, b, false⟩)
(bSplit_mem ⟨h, b, false⟩)
end MatrixMultiplication.AllFieldActiveGibbs
end
end OAI