openAI-math-dataset / lean /OAI /Computability /PerfectCompleteness /Decoding /FixedUpperPairErrorLemmas.lean
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import OAI.Computability.PerfectCompleteness.Decoding.FixedProjectionErrorLemmas
import OAI.Computability.PerfectCompleteness.Decoding.UpperCutTriangle
import OAI.Computability.PerfectCompleteness.Decoding.UpperScalarCutCalls
import OAI.Computability.PerfectCompleteness.Reduction.FixedStoppedError
import OAI.Computability.PerfectCompleteness.Sampling.CommonProductVariationLemmas
import OAI.Computability.PerfectCompleteness.Sampling.HierarchicalBackgroundVariation
namespace OAI
section
namespace PerfectCompleteness.FixedUpperPairError
open FixedParameters FixedRows DescendantSpaces
noncomputable section
variable {δ : ℚ} {hδ : 0 < δ} (params : Parameters δ hδ)
{root upper lower : Nat}
theorem lower_errors_lt (pref : Path (branch params) root (upper + 1))
(segment : Path (branch params) (upper + 1) (lower + 1))
(direction : BucketSampler.Direction (rows params.plan (upper + 1)))
(hroot : root ≤ params.plan.depth) :
let L : ℝ := ChildBlockCardinality.bound (branch params) lower
(sourceLength params.plan hδ)
(UpperScalarCutCalls.count (rows params.plan) (repeats params.plan)
root (upper + 1) (lower + 1)) (rows params.plan)
Real.sqrt ((1 + (projectionProbability params lower : ℝ) ^ 2 * (L - 1)) ^
branch params lower - 1) / 2 +
Real.sqrt (L ^ 2 / branch params lower) / 2 < 2 * params.accuracy := by
have hcalls := UpperScalarCutCalls.count_le_fixed_calls params.plan pref segment direction hroot
have hsparse := FixedProjectionError.sparse_error_lt params hcalls lower
have hhidden := FixedStoppedError.hidden_error_lt params hcalls lower
dsimp only
linarith
theorem three_errors_lt (pref : Path (branch params) root (upper + 1))
(segment : Path (branch params) (upper + 1) (lower + 1))
(direction : BucketSampler.Direction (rows params.plan (upper + 1)))
(hroot : root ≤ params.plan.depth) :
let L : ℝ := ChildBlockCardinality.bound (branch params) lower
(sourceLength params.plan hδ)
(UpperScalarCutCalls.count (rows params.plan) (repeats params.plan)
root (upper + 1) (lower + 1)) (rows params.plan)
Real.sqrt ((1 + (projectionProbability params lower : ℝ) ^ 2 * (L - 1)) ^
branch params lower - 1) / 2 +
Real.sqrt (L ^ 2 / branch params lower) / 2 +
Real.sqrt ((ChildBlockCardinality.bound (branch params) upper
(sourceLength params.plan hδ)
(OriginalCutCalls.count (rows params.plan) (repeats params.plan) root (upper + 1) + 1)
(rows params.plan) : ℝ) ^ 2 / branch params upper) / 2 <
3 * params.accuracy := by
have hlower := lower_errors_lt params pref segment direction hroot
have hupper := FixedStoppedError.collision_error_lt params hroot pref.height_le
dsimp only at hlower ⊢
linarith
end
end PerfectCompleteness.FixedUpperPairError
end
section
namespace PerfectCompleteness.FixedUpperCutTriangle
open FixedParameters FixedRows RecursiveSpaces DescendantSpaces
open TreeSourceSpaces HierarchicalArrays OriginalWholeCutTape WholeArrayInteriorExterior
open UniqueGamesTheorem.Foundations.Games
open UniqueGamesTheorem.Appendix.RankLevelFilter (linearMapFintype)
open scoped Classical
noncomputable section
attribute [local instance] linearMapFintype
variable {δ : ℚ} {hδ : 0 < δ} (params : Parameters δ hδ)
{root upper lower : Nat}
theorem rows_positive (height : Nat) : 0 < rows params.plan height :=
lt_of_lt_of_le Nat.zero_lt_one (params.plan.rows_pos (params.plan.depth - height))
variable (pref : Path (branch params) root (upper + 1))
(hcut : lower + 1 ≤ upper + 1)
(slots : Slots (branch params) root → Fin (sourceLength params.plan hδ) → MixedSupport.Slot)
local instance backgroundFintype :
Fintype (HierarchicalAgreementMean.Background (rows := rows params.plan) slots (upperNode pref)) :=
Fintype.ofFinite _
local instance rowSpaceFintype : Fintype (NodeEmbedding.RowSpace slots (upperNode pref)) :=
Fintype.ofFinite _
def upperReferenceLaw :
FiniteDistribution (HierarchicalAgreementMean.PairRecord (rows := rows params.plan) slots (upperNode pref)) :=
HierarchicalAgreementMean.referenceLaw slots (upperNode pref)
(OriginalOwnBucketSplit.backgroundLaw (rows params.plan) (repeats params.plan) pref slots)
(by simpa only [upperNode_height] using rows_positive params (upper + 1))
variable {Z : UpperCutTriangle.Prefix (branch params) upper lower → Fin (branch params lower) → Type*}
[∀ lowerPref child, Fintype (Z lowerPref child)]
(projected : (lowerPref : UpperCutTriangle.Prefix (branch params) upper lower) →
(child : Fin (branch params lower)) → Z lowerPref child →
Slots (branch params) lower → Fin (sourceLength params.plan hδ) → MixedSupport.Slot)
(projection : ∀ lowerPref child z s a, MixedSupport.Projection
(childSlots (cutSlots (pref.append (GeometricCutSplit.prefixPath hcut lowerPref)) slots) child s a)
(projected lowerPref child z s a))
(choiceLaw : (lowerPref : UpperCutTriangle.Prefix (branch params) upper lower) →
(child : Fin (branch params lower)) → FiniteDistribution (Z lowerPref child))
def modifiedPairLaw :
FiniteDistribution (HierarchicalAgreementMean.PairRecord (rows := rows params.plan) slots (upperNode pref)) :=
UpperCutTriangle.modifiedPairLaw (rows params.plan) (repeats params.plan) pref hcut slots
(fun k _ => branch_pos params k) (rows_positive params (upper + 1))
projected projection choiceLaw (projectionProbability params lower : ℝ)
(by exact_mod_cast (projectionProbability_bounds params lower).1.le)
(by exact_mod_cast (projectionProbability_bounds params lower).2.le)
def originalReferenceLaw :
FiniteDistribution (HierarchicalAgreementMean.PairRecord (rows := rows params.plan) slots (upperNode pref)) :=
HierarchicalAgreementMean.referenceLaw slots (upperNode pref)
((modifiedPairLaw params pref hcut slots projected projection choiceLaw).pushforward Prod.fst)
(by simpa only [upperNode_height] using rows_positive params (upper + 1))
theorem modified_reference_lt (hroot : root ≤ params.plan.depth) :
(modifiedPairLaw params pref hcut slots projected projection choiceLaw).totalVariation
(upperReferenceLaw params pref slots) < 3 * params.accuracy := by
have hcomparison := UpperCutTriangle.modified_reference_variation
(rows params.plan) (repeats params.plan) pref hcut slots
(fun k _ => branch_pos params k) (rows_positive params (upper + 1))
projected projection choiceLaw (projectionProbability params lower : ℝ)
(by exact_mod_cast (projectionProbability_bounds params lower).1.le)
(by exact_mod_cast (projectionProbability_bounds params lower).2.le)
let lowerPref : UpperCutTriangle.Prefix (branch params) upper lower :=
Classical.choice (GeometricCutSplit.prefix_nonempty hcut (fun k _ => branch_pos params k))
let direction : BucketSampler.Direction (rows params.plan (upper + 1)) :=
BucketUniform.coordinateDirection ⟨0, rows_positive params (upper + 1)⟩
have herror := FixedUpperPairError.three_errors_lt params pref
(GeometricCutSplit.prefixPath hcut lowerPref) direction hroot
simpa only [modifiedPairLaw, upperReferenceLaw] using hcomparison.trans_lt herror
theorem original_reference_lt (hroot : root ≤ params.plan.depth) :
(modifiedPairLaw params pref hcut slots projected projection choiceLaw).totalVariation
(originalReferenceLaw params pref hcut slots projected projection choiceLaw) <
6 * params.accuracy := by
have h := HierarchicalBackgroundVariation.original_background_variation slots (upperNode pref)
(modifiedPairLaw params pref hcut slots projected projection choiceLaw)
(OriginalOwnBucketSplit.backgroundLaw (rows params.plan) (repeats params.plan) pref slots)
(by simpa only [upperNode_height] using rows_positive params (upper + 1))
change (modifiedPairLaw params pref hcut slots projected projection choiceLaw).totalVariation
(originalReferenceLaw params pref hcut slots projected projection choiceLaw) ≤
2 * (modifiedPairLaw params pref hcut slots projected projection choiceLaw).totalVariation
(upperReferenceLaw params pref slots) at h
have hthree := modified_reference_lt params pref hcut slots projected projection choiceLaw hroot
linarith
theorem original_reference_le_ten (hroot : root ≤ params.plan.depth) :
(modifiedPairLaw params pref hcut slots projected projection choiceLaw).totalVariation
(originalReferenceLaw params pref hcut slots projected projection choiceLaw) ≤
10 * params.accuracy := by
have h := original_reference_lt params pref hcut slots projected projection choiceLaw hroot
have hpositive := params.accuracy_pos
linarith
end
end PerfectCompleteness.FixedUpperCutTriangle
end
section
namespace PerfectCompleteness.FixedUpperCutFamily
open FixedParameters FixedRows RecursiveSpaces DescendantSpaces
open TreeSourceSpaces HierarchicalArrays OriginalWholeCutTape WholeArrayInteriorExterior
open UniqueGamesTheorem.Foundations.Games
open UniqueGamesTheorem.Appendix.RankLevelFilter (linearMapFintype)
open scoped Classical
noncomputable section
attribute [local instance] linearMapFintype
variable {δ : ℚ} {hδ : 0 < δ} (params : Parameters δ hδ)
{root upper lower : Nat} {O : Type*} [Fintype O]
(pref : O → Path (branch params) root (upper + 1))
(hcut : lower + 1 ≤ upper + 1)
(slots : O → Slots (branch params) root → Fin (sourceLength params.plan hδ) → MixedSupport.Slot)
local instance backgroundFintype (o : O) :
Fintype (HierarchicalAgreementMean.Background (rows := rows params.plan) (slots o) (upperNode (pref o))) :=
Fintype.ofFinite _
local instance rowSpaceFintype (o : O) :
Fintype (NodeEmbedding.RowSpace (slots o) (upperNode (pref o))) := Fintype.ofFinite _
abbrev Record := Σ o : O,
HierarchicalAgreementMean.PairRecord (rows := rows params.plan) (slots o) (upperNode (pref o))
variable {Z : O → UpperCutTriangle.Prefix (branch params) upper lower → Fin (branch params lower) → Type*}
[∀ o lowerPref child, Fintype (Z o lowerPref child)]
(projected : (o : O) → (lowerPref : UpperCutTriangle.Prefix (branch params) upper lower) →
(child : Fin (branch params lower)) → Z o lowerPref child →
Slots (branch params) lower → Fin (sourceLength params.plan hδ) → MixedSupport.Slot)
(projection : ∀ o lowerPref child z s a, MixedSupport.Projection
(childSlots (cutSlots ((pref o).append (GeometricCutSplit.prefixPath hcut lowerPref)) (slots o)) child s a)
(projected o lowerPref child z s a))
(choiceLaw : (o : O) → (lowerPref : UpperCutTriangle.Prefix (branch params) upper lower) →
(child : Fin (branch params lower)) → FiniteDistribution (Z o lowerPref child))
def modifiedLaw (outerLaw : FiniteDistribution O) :
FiniteDistribution (Record params pref slots) :=
CompletionSoundness.sigmaLaw outerLaw (fun o =>
FixedUpperCutTriangle.modifiedPairLaw params (pref o) hcut (slots o)
(projected o) (projection o) (choiceLaw o))
def referenceLaw (outerLaw : FiniteDistribution O) :
FiniteDistribution (Record params pref slots) :=
CompletionSoundness.sigmaLaw outerLaw (fun o =>
FixedUpperCutTriangle.originalReferenceLaw params (pref o) hcut (slots o)
(projected o) (projection o) (choiceLaw o))
theorem totalVariation_le_six (outerLaw : FiniteDistribution O)
(hroot : root ≤ params.plan.depth) :
(modifiedLaw params pref hcut slots projected projection choiceLaw outerLaw).totalVariation
(referenceLaw params pref hcut slots projected projection choiceLaw outerLaw) ≤
6 * params.accuracy := by
have h := ConditionalVariation.observed_sigma_le_const outerLaw
(fun o => FixedUpperCutTriangle.modifiedPairLaw params (pref o) hcut (slots o)
(projected o) (projection o) (choiceLaw o))
(fun o => FixedUpperCutTriangle.originalReferenceLaw params (pref o) hcut (slots o)
(projected o) (projection o) (choiceLaw o))
(6 * params.accuracy)
(fun o => (FixedUpperCutTriangle.original_reference_lt params (pref o) hcut (slots o)
(projected o) (projection o) (choiceLaw o) hroot).le)
(id : Record params pref slots → Record params pref slots)
simpa only [modifiedLaw, referenceLaw, FiniteDistribution.pushforward_id] using h
theorem observed_totalVariation_le_ten {Γ : Type*} [Fintype Γ]
(outerLaw : FiniteDistribution O) (hroot : root ≤ params.plan.depth)
(observe : Record params pref slots → Γ) :
((modifiedLaw params pref hcut slots projected projection choiceLaw outerLaw).pushforward observe).totalVariation
((referenceLaw params pref hcut slots projected projection choiceLaw outerLaw).pushforward observe) ≤
10 * params.accuracy := by
have h := (DensityVariation.variation_pushforward_le _ _ observe).trans
(totalVariation_le_six params pref hcut slots projected projection choiceLaw outerLaw hroot)
have hpositive := params.accuracy_pos
linarith
end
end PerfectCompleteness.FixedUpperCutFamily
end
end OAI