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Add lean source and binary files (part 64)
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import Mathlib
import OAI.Computability.VertexCover.PCP.Expanders
import OAI.Computability.VertexCover.PCP.GraphTransport
import OAI.Computability.VertexCover.PCP.ZigzagSpectral
namespace OAI
namespace UniqueGames.Foundations.PCP.ExpanderFamily
open PoweringWalks SpectralReturn Expanders
abbrev Port := BasePort × BasePort
abbrev CloudPort := Port × Port
def growth : Nat := baseDegree ^ 4
theorem card_port : Fintype.card Port = baseDegree ^ 2 := by
change Fintype.card (BasePort × BasePort) = baseDegree ^ 2
rw [Fintype.card_prod, card_basePort, pow_two]
theorem card_cloudPort : Fintype.card CloudPort = growth := by
change Fintype.card (Port × Port) = growth
rw [Fintype.card_prod, card_port]
unfold growth
ring
theorem growth_gt_one : 1 < growth := by
norm_num [growth, baseDegree, initialDegree, basePower]
theorem port_degree_ge_eight : 8 ≤ Fintype.card Port := by
rw [card_port]
norm_num [baseDegree, initialDegree, basePower]
noncomputable def baseVertexEquiv : BaseVertex ≃ CloudPort :=
Fintype.equivOfCardEq (card_baseVertex.trans card_cloudPort.symm)
noncomputable def baseOnCloud : PortGraph CloudPort BasePort :=
GraphTransport.reindex (Classical.choose exists_baseGraph) baseVertexEquiv (Equiv.refl _)
theorem baseOnCloud_certificate : SpectralCertificate baseOnCloud (1 / 100 : ℝ) :=
GraphTransport.reindex_spectralCertificate _ _ _ _ (Classical.choose_spec exists_baseGraph)
def Vertex : Nat → Type
| 0 => Unit
| n + 1 => Vertex n × CloudPort
instance vertexFintype (n : Nat) : Fintype (Vertex n) := by
induction n with
| zero => exact inferInstanceAs (Fintype Unit)
| succ n ih =>
letI : Fintype (Vertex n) := ih
change Fintype (Vertex n × CloudPort)
infer_instance
instance basePortNonempty : Nonempty BasePort :=
⟨fun _ => ⟨0, by norm_num [initialQuarterDegree]⟩⟩
instance vertexNonempty (n : Nat) : Nonempty (Vertex n) := by
induction n with
| zero => exact inferInstanceAs (Nonempty Unit)
| succ n ih =>
let : Nonempty (Vertex n) := ih
change Nonempty (Vertex n × CloudPort)
infer_instance
def graph (H : PortGraph CloudPort BasePort) : (n : Nat) → PortGraph (Vertex n) Port
| 0 => { rot := Equiv.refl _, rot_involutive := fun _ => rfl }
| n + 1 => ZigzagGraphs.zigzag (ZigzagGraphs.square (graph H n)) H
theorem graph_certificate (H : PortGraph CloudPort BasePort)
(hH : SpectralCertificate H (1 / 100 : ℝ)) (n : Nat) :
SpectralCertificate (graph H n) (1 / 2 : ℝ) := by
induction n with
| zero =>
refine ⟨by norm_num, by norm_num, ?_⟩
intro f hf
have hm : mean f = f () := by
change mean (fun x : Unit => f x) = f ()
have hfun : (fun x : Unit => f x) = fun _ : Unit => f () := by
funext x
cases x
rfl
rw [hfun, mean_const]
have hz : f = fun _ => 0 := by
funext x
cases x
exact hm.symm.trans hf
rw [hz]
simp [energy, mean, averagingOperator]
| succ n ih =>
exact ZigzagSpectral.square_zigzag_halfCertificate (graph H n) H ih hH
noncomputable def family (n : Nat) : PortGraph (Vertex n) Port := graph baseOnCloud n
theorem family_certificate (n : Nat) : SpectralCertificate (family n) (1 / 2 : ℝ) :=
graph_certificate baseOnCloud baseOnCloud_certificate n
theorem card_vertex (n : Nat) : Fintype.card (Vertex n) = growth ^ n := by
induction n with
| zero => rfl
| succ n ih =>
change Fintype.card (Vertex n × CloudPort) = growth ^ (n + 1)
rw [Fintype.card_prod, ih, card_cloudPort, pow_succ]
def level (k : Nat) : Nat := Nat.clog growth k
def size (k : Nat) : Nat := growth ^ level k
theorem le_size (k : Nat) : k ≤ size k := Nat.le_pow_clog growth_gt_one k
theorem size_le_mul {k : Nat} (hk : 0 < k) : size k ≤ growth * k := by
by_cases hk1 : k = 1
· subst k
simpa [size, level] using growth_gt_one.le
· have hk2 : 1 < k := by omega
have hl : 0 < level k := Nat.clog_pos growth_gt_one hk2
have hp : growth ^ (level k).pred < k :=
Nat.pow_pred_clog_lt_self growth_gt_one hk2
have he : (level k).pred + 1 = level k := Nat.succ_pred_eq_of_pos hl
calc
size k = growth ^ ((level k).pred + 1) := by rw [he]; rfl
_ = growth * growth ^ (level k).pred := by rw [pow_succ, Nat.mul_comm]
_ ≤ growth * k := Nat.mul_le_mul_left growth hp.le
theorem padded_family_size {k : Nat} (hk : 0 < k) :
k ≤ Fintype.card (Vertex (level k)) ∧
Fintype.card (Vertex (level k)) ≤ growth * k := by
rw [card_vertex]
exact ⟨le_size k, size_le_mul hk⟩
end UniqueGames.Foundations.PCP.ExpanderFamily
end OAI