openAI-math-dataset / lean /OAI /Computability /PerfectCompleteness /Foundations /HierarchicalProjectedRawAverage.lean
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import OAI.Computability.PerfectCompleteness.Foundations.HierarchicalProjectedRawMeeting
import OAI.Computability.PerfectCompleteness.Foundations.TupleIndexEmitterLemmas
namespace OAI
section
namespace PerfectCompleteness.HierarchicalProjectedRawAverage
noncomputable section
open scoped BigOperators Classical TensorProduct
open TreeSourceSpaces HierarchicalArrays UpperParameterScalars
open UniqueGamesTheorem.Foundations.Games
open UniqueGamesTheorem.Appendix.RankLevelFilter (linearMapFintype)
attribute [local instance] linearMapFintype
private theorem event_mass_le_expectation {X : Type*} [Fintype X]
(μ : FiniteDistribution X) (event : X → Bool) (value : X → ℝ) (factor : ℝ)
(hnonneg : ∀ x, 0 ≤ value x)
(hbound : ∀ x, event x = true → factor ≤ value x) :
factor * μ.probability event ≤ μ.expectation value := by
unfold FiniteDistribution.probability FiniteDistribution.expectation
rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro x _
by_cases hx : event x = true
· rw [ite_eq_left hx]
calc
factor * μ.weight x = μ.weight x * factor := mul_comm _ _
_ ≤ μ.weight x * value x :=
mul_le_mul_of_nonneg_left (hbound x hx) (μ.nonnegative x)
· rw [ite_eq_right hx, mul_zero]
exact mul_nonneg (μ.nonnegative x) (hnonneg x)
variable {δ : ℚ} (plan : FixedRows.Plan δ) {branch : Nat → Nat} {t : Nat}
(slots projected : RecursiveSpaces.Slots branch plan.depth → Fin t → MixedSupport.Slot)
(projection : ∀ s j, MixedSupport.Projection (slots s j) (projected s j))
(upper lower : Nodes branch plan.depth) (lowerLevel : Nat)
{Ω : Type*} [Fintype Ω]
(original : FiniteDistribution Ω) (originalArrays : Ω → Arrays slots (FixedRows.rows plan))
(lowerEvent : Ω → Bool)
(σ : KeyStrategy.Strategy (TreeCanonical.locationCount branch plan.depth t))
(A : ManyGoodRows.RowMap (Block (FixedRows.rows plan) upper) plan.order)
(a : Block (FixedRows.rows plan) lower) (cut : OwnInputReference.Cut upper lower)
abbrev Raw := HierarchicalProjectedRawPrediction.Raw projected (FixedRows.rows plan) upper lower A
(FixedRows.repeats plan) cut
abbrev Visible := HierarchicalProjectedRawPrediction.Visible projected (FixedRows.rows plan) upper lower A
(FixedRows.repeats plan) cut
def law (externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower)) :
FiniteDistribution (Raw plan projected upper lower A cut) :=
OwnInputReference.rawLaw projected (FixedRows.rows plan) upper lower (LinearMap.ker A)
(FixedRows.repeats plan) cut externalLaw
abbrev J := HierarchicalProjectedRawPrediction.rawJ slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut
abbrev prediction := HierarchicalProjectedRawPrediction.rawPrediction slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut a
def goodRecord (externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower))
(v : Visible plan projected upper lower A cut) : Bool :=
PositiveFiberMass.goodRecord (law plan projected upper lower A cut externalLaw)
(fun sample : Raw plan projected upper lower A cut => sample.2)
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut)
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut)
(rhoPred (InitialParameters.useful δ) plan.density) v
def goodEvent (externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower))
(sample : Raw plan projected upper lower A cut) : Bool :=
J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample &&
goodRecord plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut
externalLaw sample.2
def factor : ℝ :=
(1 / (2 : ℝ) ^ plan.order) *
(tau (InitialParameters.useful δ) plan.density plan.order
(FixedRows.rows plan (Nodes.height upper)) ^ 2 /
(2 * (2 : ℝ) ^ FixedRows.rows plan (Nodes.height upper)))
theorem factor_nonneg : 0 ≤ factor plan upper := by
unfold factor
positivity
abbrev meetingProbability :=
HierarchicalProjectedRawMeeting.meetingProbability plan slots projected projection upper lower lowerLevel
original originalArrays lowerEvent σ A a cut
def expectedMeeting (externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower)) : ℝ :=
(law plan projected upper lower A cut externalLaw).expectation
(fun sample => meetingProbability plan slots projected projection upper lower lowerLevel
original originalArrays lowerEvent σ A a cut sample.2)
theorem meeting_lower_of_goodRecord (hδ : 0 < δ)
(externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower))
(v : Visible plan projected upper lower A cut)
(hgood : goodRecord plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ
A a cut externalLaw v = true) :
factor plan upper ≤
meetingProbability plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut v := by
have hpositive := (PositiveFiberMass.goodRecord_iff
(law plan projected upper lower A cut externalLaw)
(fun sample : Raw plan projected upper lower A cut => sample.2)
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut)
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut)
(rhoPred (InitialParameters.useful δ) plan.density) v).mp hgood
let originalGiven : Raw plan projected upper lower A cut → Bool := fun sample =>
J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample &&
@decide (sample.2 = v) (Classical.propDecidable _)
have hgiven : originalGiven =
HierarchicalProjectedRawPrediction.given slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut v := by
funext sample
unfold originalGiven HierarchicalProjectedRawPrediction.given
apply congrArg (fun flag : Bool =>
J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample && flag)
exact (@decide_eq_decide _ _ _ _).mpr Iff.rfl
have positive : 0 < (law plan projected upper lower A cut externalLaw).probability
(HierarchicalProjectedRawPrediction.given slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut v) := by
rw [← hgiven]
exact hpositive.1
have conditional : rhoPred (InitialParameters.useful δ) plan.density ≤
((law plan projected upper lower A cut externalLaw).condition
(HierarchicalProjectedRawPrediction.given slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut v) positive).probability
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut) := by
have hprediction := hpositive.2
have hmatch : (fun sample : Raw plan projected upper lower A cut =>
originalGiven sample &&
prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut sample) =
(fun sample =>
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample &&
prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut sample) &&
@decide (sample.2 = v) (Classical.propDecidable _)) := by
funext sample
dsimp only [originalGiven]
cases J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample <;>
cases prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut sample <;>
cases @decide (sample.2 = v) (Classical.propDecidable _) <;> rfl
change rhoPred (InitialParameters.useful δ) plan.density ≤
(law plan projected upper lower A cut externalLaw).probability
(fun sample =>
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample &&
prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut sample) &&
@decide (sample.2 = v) (Classical.propDecidable _)) /
(law plan projected upper lower A cut externalLaw).probability originalGiven at hprediction
rw [← hmatch, hgiven] at hprediction
exact hprediction.trans_eq
(FiniteDistribution.probability_condition (law plan projected upper lower A cut externalLaw)
(HierarchicalProjectedRawPrediction.given slots projected projection (FixedRows.rows plan) upper lower lowerLevel
original originalArrays lowerEvent (InitialParameters.useful δ) σ plan.density A
(FixedRows.repeats plan) cut v)
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut)
positive).symm
exact HierarchicalProjectedRawMeeting.meeting_probability_lower plan slots projected projection upper lower lowerLevel
original originalArrays lowerEvent σ A a cut v hδ externalLaw positive conditional
theorem expectedMeeting_ge_good_mass (hδ : 0 < δ)
(externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower)) :
factor plan upper *
(law plan projected upper lower A cut externalLaw).probability
(goodEvent plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut externalLaw) ≤
expectedMeeting plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut externalLaw := by
apply event_mass_le_expectation
· intro sample
exact HierarchicalProjectedRawMeeting.meetingProbability_nonneg plan slots projected projection upper lower lowerLevel
original originalArrays lowerEvent σ A a cut sample.2
· intro sample hs
exact meeting_lower_of_goodRecord plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ
A a cut hδ externalLaw sample.2 (Bool.and_eq_true_iff.mp hs).2
theorem J_and_prediction :
(fun sample => J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut sample &&
prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut sample) =
prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut := by
funext sample
unfold J prediction HierarchicalProjectedRawPrediction.rawJ HierarchicalProjectedRawPrediction.rawPrediction
HierarchicalPrediction.prediction
exact Bool.and_self_left _ _
theorem prediction_difference_le_good_mass (hδ : 0 < δ)
(externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower)) :
(law plan projected upper lower A cut externalLaw).probability
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut) -
rhoPred (InitialParameters.useful δ) plan.density *
(law plan projected upper lower A cut externalLaw).probability
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut) ≤
(law plan projected upper lower A cut externalLaw).probability
(goodEvent plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut externalLaw) := by
have h := PositiveFiberMass.difference_le_good_mass
(law plan projected upper lower A cut externalLaw)
(fun sample : Raw plan projected upper lower A cut => sample.2)
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut)
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut)
(rhoPred (InitialParameters.useful δ) plan.density)
(rhoPred_pos (InitialParameters.useful_pos hδ) plan.density_pos).le
rw [J_and_prediction] at h
exact h
theorem expectedMeeting_ge_prediction_difference (hδ : 0 < δ)
(externalLaw : FiniteDistribution
(OwnInputReference.Exterior projected (FixedRows.rows plan) upper lower)) :
factor plan upper *
((law plan projected upper lower A cut externalLaw).probability
(prediction plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut) -
rhoPred (InitialParameters.useful δ) plan.density *
(law plan projected upper lower A cut externalLaw).probability
(J plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A cut)) ≤
expectedMeeting plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ A a cut externalLaw :=
(mul_le_mul_of_nonneg_left
(prediction_difference_le_good_mass plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ
A a cut hδ externalLaw) (factor_nonneg plan upper)).trans
(expectedMeeting_ge_good_mass plan slots projected projection upper lower lowerLevel original originalArrays lowerEvent σ
A a cut hδ externalLaw)
end
end PerfectCompleteness.HierarchicalProjectedRawAverage
end
end OAI