openAI-math-dataset / lean /OAI /Computability /BinPacking /PCP /PreprocessingGuarantees.lean
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import OAI.Computability.BinPacking.PCP.FinalConstants
namespace OAI
namespace BinPackingGames.Foundations.PCP.PreprocessingTables
open PreprocessingRegularTables
abbrev BaseTable := PreprocessingRegularTables.BaseTable
def degree : Nat := 2 * ((internalDegree + 1) + internalDegree)
theorem degree_eq : degree = Preprocessing.degree := by
unfold degree internalDegree Preprocessing.degree
rw [pow_two]
omega
def regularVertices (t : GraphTables.Table) : Nat := vertexCount t (padding t)
def vertices (t : GraphTables.Table) : Nat := PreprocessingLevels.paddedSize (regularVertices t)
def padded (H : BaseTable) (t : GraphTables.Table) :
PortTables.Table (vertices t) (internalDegree + 1) :=
PreprocessingPaddingTables.pad (regularize H t)
(PreprocessingLevels.le_paddedSize (regularVertices t))
def overlayFamily (H : BaseTable) (t : GraphTables.Table) :
ExpanderTables.Table (vertices t) internalDegree :=
resizeTable (PreprocessingLevels.table_vertexCount_eq_paddedSize (regularVertices t))
(ExpanderTables.family H (PreprocessingLevels.boundedLevel (regularVertices t)))
def preprocess (H : BaseTable) (t : GraphTables.Table) :
PortTables.Table (vertices t) degree :=
PreprocessingOverlayTables.lazy
(PreprocessingOverlayTables.overlay (padded H t) (overlayFamily H t))
def output (H : BaseTable) (t : GraphTables.Table) : PortTables.Input degree :=
⟨vertices t, preprocess H t⟩
def graphTable (H : BaseTable) (t : GraphTables.Table) : GraphTables.Table :=
PortTables.graphTable (preprocess H t)
def outputBits (H : BaseTable) (t : GraphTables.Table) : List Bool :=
PortTables.tableBits (preprocess H t)
theorem regularVertices_ge_darts (t : GraphTables.Table) : t.darts ≤ regularVertices t := by
change t.darts ≤ t.darts + _
omega
theorem regularVertices_le (t : GraphTables.Table) :
regularVertices t ≤ ExpanderFamily.growth * t.darts := vertexCount_le t
theorem vertices_positive (t : GraphTables.Table) : 0 < vertices t :=
PreprocessingLevels.paddedSize_positive _
theorem vertices_le_of_positive (t : GraphTables.Table) (ht : 0 < t.darts) :
vertices t ≤ ExpanderFamily.growth ^ 2 * t.darts := by
have hr : 0 < regularVertices t := ht.trans_le (regularVertices_ge_darts t)
calc
_ ≤ ExpanderFamily.growth * regularVertices t :=
(PreprocessingLevels.paddedSize_bounds hr).2
_ ≤ ExpanderFamily.growth * (ExpanderFamily.growth * t.darts) :=
Nat.mul_le_mul_left _ (regularVertices_le t)
_ = _ := by ring
theorem vertices_eq_one_of_no_darts (t : GraphTables.Table) (ht : t.darts = 0) :
vertices t = 1 := by
unfold vertices regularVertices
rw [vertexCount_eq_zero_of_no_darts t ht, PreprocessingLevels.paddedSize_zero]
theorem vertices_le (t : GraphTables.Table) :
vertices t ≤ ExpanderFamily.growth ^ 2 * (t.darts + 1) := by
by_cases ht : t.darts = 0
· rw [vertices_eq_one_of_no_darts t ht, ht]
have hg : 0 < ExpanderFamily.growth := Nat.zero_lt_one.trans ExpanderFamily.growth_gt_one
have hp : 0 < ExpanderFamily.growth ^ 2 := Nat.pow_pos hg
simpa using Nat.succ_le_of_lt hp
· exact (vertices_le_of_positive t (Nat.pos_of_ne_zero ht)).trans
(Nat.mul_le_mul_left _ (Nat.le_succ _))
theorem darts_eq (H : BaseTable) (t : GraphTables.Table) :
(graphTable H t).darts = vertices t * degree := rfl
theorem darts_le (H : BaseTable) (t : GraphTables.Table) :
(graphTable H t).darts ≤ Preprocessing.sizeFactor * (t.darts + 1) := by
rw [darts_eq]
calc
_ ≤ (ExpanderFamily.growth ^ 2 * (t.darts + 1)) * degree :=
Nat.mul_le_mul_right _ (vertices_le t)
_ = _ := by rw [degree_eq]; unfold Preprocessing.sizeFactor; ring
theorem vertices_le_inputBits (t : GraphTables.Table) :
vertices t ≤ ExpanderFamily.growth ^ 2 * ((GraphTables.tableBits t).length + 1) :=
(vertices_le t).trans (Nat.mul_le_mul_left _
(Nat.add_le_add_right (GraphTables.darts_le_tableBits_length t) 1))
theorem darts_le_inputBits (H : BaseTable) (t : GraphTables.Table) :
(graphTable H t).darts ≤
Preprocessing.sizeFactor * ((GraphTables.tableBits t).length + 1) :=
(darts_le H t).trans (Nat.mul_le_mul_left _
(Nat.add_le_add_right (GraphTables.darts_le_tableBits_length t) 1))
end BinPackingGames.Foundations.PCP.PreprocessingTables
namespace BinPackingGames.Foundations.PCP.PreprocessingStageMaps
open PreprocessingRegularTables
abbrev BaseTable := PreprocessingTables.BaseTable
def regular (H : BaseTable) (t : GraphTables.Table) : PortTables.Input (internalDegree + 1) :=
⟨vertexCount t (PreprocessingRegularTables.padding t), regularize H t⟩
def padding (d : Nat) (input : PortTables.Input d) : PortTables.Input d :=
⟨PreprocessingLevels.paddedSize input.1,
PreprocessingPaddingTables.pad input.2 (PreprocessingLevels.le_paddedSize input.1)⟩
def familyAt (H : BaseTable) (n : Nat) :
ExpanderTables.Table (PreprocessingLevels.paddedSize n) internalDegree :=
resizeTable (PreprocessingLevels.table_vertexCount_eq_paddedSize n)
(ExpanderTables.family H (PreprocessingLevels.boundedLevel n))
def paddedOverlay (H : BaseTable) (d : Nat) (input : PortTables.Input d) :
PortTables.Input (d + internalDegree) :=
⟨PreprocessingLevels.paddedSize input.1,
PreprocessingOverlayTables.overlay (padding d input).2 (familyAt H input.1)⟩
def lazy (d : Nat) (input : PortTables.Input d) : PortTables.Input (2 * d) :=
⟨input.1, PreprocessingOverlayTables.lazy input.2⟩
theorem output_eq (H : BaseTable) (t : GraphTables.Table) :
PreprocessingTables.output H t =
lazy ((internalDegree + 1) + internalDegree)
(paddedOverlay H (internalDegree + 1) (regular H t)) := rfl
end BinPackingGames.Foundations.PCP.PreprocessingStageMaps
noncomputable section
namespace BinPackingGames.Foundations.PCP.PreprocessingGuarantees
open PoweringWalks SpectralReturn PreprocessingTables
open PreprocessingRegularTables (internalDegree regularize)
variable {n d e : Nat}
theorem overlay_rejectionCount (G : PortTables.Table n d) (H : ExpanderTables.Table n e)
(labels : Fin n → GraphTables.Label) :
(PortTables.baseGraph (PreprocessingOverlayTables.overlay G H)).rejectionCount labels =
(PortTables.baseGraph G).rejectionCount labels := by
rw [PreprocessingOverlayTables.overlay_semantics]
calc
_ = (Overlay.constraintGraph (PortTables.baseGraph G) (ExpanderTables.graph H)).rejectionCount labels := by
convert ConstraintGraph.reindex_rejectionCount
(Overlay.constraintGraph (PortTables.baseGraph G) (ExpanderTables.graph H))
(Equiv.refl _) (Equiv.prodCongr (Equiv.refl _)
(PreprocessingOverlayTables.overlayPorts d e)) (Equiv.refl _) labels using 1
rfl
_ = _ := Overlay.rejectionCount_eq _ _ rfl labels
theorem lazy_rejectionCount (G : PortTables.Table n d)
(labels : Fin n → GraphTables.Label) :
(PortTables.baseGraph (PreprocessingOverlayTables.lazy G)).rejectionCount labels =
(PortTables.baseGraph G).rejectionCount labels := by
rw [PreprocessingOverlayTables.lazy_semantics]
calc
_ = (LazyConstraint.constraintGraph (PortTables.baseGraph G)).rejectionCount labels := by
convert ConstraintGraph.reindex_rejectionCount
(LazyConstraint.constraintGraph (PortTables.baseGraph G))
(Equiv.refl _) (Equiv.prodCongr (Equiv.refl _)
(PreprocessingOverlayTables.lazyPorts d)) (Equiv.refl _) labels using 1
rfl
_ = _ := LazyConstraint.rejectionCount_eq _ rfl labels
theorem overlayFamily_certificate (H : BaseTable)
(certificate : SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ))
(t : GraphTables.Table) :
SpectralCertificate (ExpanderTables.graph (overlayFamily H t)) (1 / 2 : ℝ) := by
let : NeZero Expanders.baseDegree := ⟨PreprocessingRegularSoundness.baseDegree_ne_zero⟩
apply PreprocessingRegularSoundness.resizeTable_certificate
exact ExpanderTables.family_certificate H certificate _
theorem overlay_certificate (H : BaseTable)
(certificate : SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ))
(t : GraphTables.Table) :
SpectralCertificate (PortTables.portGraph
(PreprocessingOverlayTables.overlay (padded H t) (overlayFamily H t))) (7 / 8 : ℝ) :=
PreprocessingTableSpectral.overlay_certificate_seven_eighths _ _
(vertices_positive t) rfl PreprocessingRegularSoundness.internalDegree_ge_eight
(overlayFamily_certificate H certificate t)
theorem spectral_certificate (H : BaseTable)
(certificate : SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ))
(t : GraphTables.Table) :
SpectralCertificate (PortTables.portGraph (preprocess H t)) (31 / 32 : ℝ) := by
apply PreprocessingTableSpectral.lazy_certificate_31_32
· omega
· exact overlay_certificate H certificate t
def restrictedLabel (t : GraphTables.Table)
(labels : Fin (vertices t) → GraphTables.Label) :
Fin (regularVertices t) → GraphTables.Label :=
fun v => labels (v.castLE (PreprocessingLevels.le_paddedSize (regularVertices t)))
theorem rejectionCount_eq_regularized (H : BaseTable) (t : GraphTables.Table)
(labels : Fin (vertices t) → GraphTables.Label) :
(PortTables.baseGraph (preprocess H t)).rejectionCount labels =
(PortTables.baseGraph (regularize H t)).rejectionCount (restrictedLabel t labels) := by
unfold preprocess PreprocessingTables.degree
rw [lazy_rejectionCount, overlay_rejectionCount]
exact PreprocessingPaddingTables.pad_rejectionCount _ _ labels
def roundLabels (t : GraphTables.Table)
(labels : Fin (vertices t) → GraphTables.Label) : Fin t.vertices → GraphTables.Label :=
PreprocessingRegularSoundness.roundLabels t (restrictedLabel t labels)
theorem soundness (H : BaseTable)
(certificate : SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ))
(t : GraphTables.Table) (labels : Fin (vertices t) → GraphTables.Label) :
(GraphTables.semantics t).rejectionCount (roundLabels t labels) ≤
(PortTables.baseGraph (preprocess H t)).rejectionCount labels := by
rw [rejectionCount_eq_regularized]
exact PreprocessingRegularSoundness.soundness H certificate t (restrictedLabel t labels)
theorem completeness (H : BaseTable) (t : GraphTables.Table)
(h : (GraphTables.semantics t).Satisfiable) :
(PortTables.baseGraph (preprocess H t)).Satisfiable := by
have hp : (PortTables.baseGraph (padded H t)).Satisfiable :=
(PreprocessingPaddingTables.pad_satisfiable_iff _ _).mpr
(PreprocessingRegularSoundness.completeness H t h)
obtain ⟨labels, hlabels⟩ := hp
refine ⟨labels, ?_⟩
apply (ConstraintGraph.rejectionCount_eq_zero_iff _ labels).mp
unfold preprocess PreprocessingTables.degree
rw [lazy_rejectionCount, overlay_rejectionCount]
exact (ConstraintGraph.rejectionCount_eq_zero_iff _ labels).mpr hlabels
theorem gap_transfer_real (H : BaseTable)
(certificate : SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ))
(t : GraphTables.Table) (ht : 0 < t.darts)
(epsilon : ℝ) (he : 0 ≤ epsilon)
(lower : ∀ labels : Fin t.vertices → GraphTables.Label,
epsilon * t.darts ≤ ((GraphTables.semantics t).rejectionCount labels : ℝ))
(labels : Fin (vertices t) → GraphTables.Label) :
(epsilon / Preprocessing.sizeFactor) *
Fintype.card (Fin (vertices t) × Fin PreprocessingTables.degree) ≤
((PortTables.baseGraph (preprocess H t)).rejectionCount labels : ℝ) := by
have hs : (0 : ℝ) < Preprocessing.sizeFactor :=
Nat.cast_pos.mpr Preprocessing.sizeFactor_positive
have hcount : Fintype.card (Fin (vertices t) × Fin PreprocessingTables.degree) ≤
Preprocessing.sizeFactor * t.darts := by
simp only [Fintype.card_prod, Fintype.card_fin]
calc
_ ≤ (ExpanderFamily.growth ^ 2 * t.darts) * PreprocessingTables.degree :=
Nat.mul_le_mul_right _ (vertices_le_of_positive t ht)
_ = _ := by rw [PreprocessingTables.degree_eq]; unfold Preprocessing.sizeFactor; ring
have hcountR : (Fintype.card (Fin (vertices t) × Fin PreprocessingTables.degree) : ℝ) ≤
(Preprocessing.sizeFactor : ℝ) * t.darts := by exact_mod_cast hcount
calc
_ ≤ (epsilon / Preprocessing.sizeFactor) *
((Preprocessing.sizeFactor : ℝ) * t.darts) :=
mul_le_mul_of_nonneg_left hcountR (div_nonneg he hs.le)
_ = epsilon * t.darts := by field_simp
_ ≤ ((GraphTables.semantics t).rejectionCount (roundLabels t labels) : ℝ) := lower _
_ ≤ _ := Nat.cast_le.mpr (soundness H certificate t labels)
end BinPackingGames.Foundations.PCP.PreprocessingGuarantees
end
end OAI