openAI-math-dataset / lean /OAI /Computability /BinPacking /Expanders /PreprocessingTableSpectral.lean
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import Mathlib.Tactic.NormNum
import OAI.Computability.BinPacking.PCP.PreprocessingLazyWords
namespace OAI
namespace BinPackingGames.Foundations.PCP.LazySpectral
open PoweringWalks SpectralReturn
noncomputable section
variable {V D : Type*}
theorem half_sum_sq_le (a b : ℝ) : ((a + b) / 2) ^ 2 ≤ (a ^ 2 + b ^ 2) / 2 := by
nlinarith [sq_nonneg (a - b)]
theorem lazy_energy_le_average [Fintype V] [Fintype D] [Nonempty D]
(G : PortGraph V D) (f : V → ℝ) :
energy (averagingOperator (lazyGraph G) f) ≤
(energy f + energy (averagingOperator G f)) / 2 := by
calc
energy (averagingOperator (lazyGraph G) f) =
mean (fun v => ((f v + averagingOperator G f v) / 2) ^ 2) := by
unfold energy
congr 1
funext v
rw [PoweringLazy.averagingOperator_lazy]
_ ≤ mean (fun v => (f v ^ 2 + averagingOperator G f v ^ 2) / 2) :=
mean_mono (fun v => half_sum_sq_le _ _)
_ = mean (fun v => (1 / 2 : ℝ) * (f v ^ 2 + averagingOperator G f v ^ 2)) := by
congr 1
funext v
ring
_ = (1 / 2 : ℝ) * (energy f + energy (averagingOperator G f)) := by
rw [mean_mul_left, mean_add]
rfl
_ = (energy f + energy (averagingOperator G f)) / 2 := by ring
theorem lazy_energy_bound [Fintype V] [Fintype D] [Nonempty D]
(G : PortGraph V D) (lambda : ℝ) (hG : SpectralCertificate G lambda)
(f : V → ℝ) (hf : mean f = 0) :
energy (averagingOperator (lazyGraph G) f) ≤
((1 + lambda ^ 2) / 2) * energy f := by
calc
energy (averagingOperator (lazyGraph G) f) ≤
(energy f + energy (averagingOperator G f)) / 2 := lazy_energy_le_average G f
_ ≤ (energy f + lambda ^ 2 * energy f) / 2 := by
have h := hG.contraction f hf
linarith
_ = ((1 + lambda ^ 2) / 2) * energy f := by ring
theorem lazy_certificate_31_32 [Fintype V] [Fintype D] [Nonempty D]
(G : PortGraph V D) (hG : SpectralCertificate G (7 / 8)) :
SpectralCertificate (lazyGraph G) (31 / 32) where
nonnegative := by norm_num
lt_one := by norm_num
contraction f hf := by
have h := lazy_energy_bound G (7 / 8) hG f hf
have hcoef : ((1 + (7 / 8 : ℝ) ^ 2) / 2) ≤ (31 / 32 : ℝ) ^ 2 := by norm_num
exact h.trans (mul_le_mul_of_nonneg_right hcoef (energy_nonnegative f))
end
end BinPackingGames.Foundations.PCP.LazySpectral
namespace BinPackingGames.Foundations.PCP.PreprocessingTableSpectral
open PoweringWalks SpectralReturn
private theorem portGraph_ext {V D : Type*} {G H : PortGraph V D}
(h : ∀ x, G.rot x = H.rot x) : G = H := by
have hr : G.rot = H.rot := Equiv.ext h
cases G
cases H
cases hr
rfl
theorem materialize_portGraph {n d : Nat} {D : Type*}
(G : ConstraintGraph (Fin n) (Fin n × D) PortTables.Label)
(ports : D ≃ Fin d) :
PortTables.portGraph (PreprocessingOverlayTables.materialize G ports) =
GraphTransport.reindex (Overlay.originalPortGraph G) (Equiv.refl _) ports := by
apply portGraph_ext
intro x
rw [PortTables.portGraph_rot, PreprocessingOverlayTables.rotation_materialize]
rfl
theorem overlay_portGraph {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) :
PortTables.portGraph (PreprocessingOverlayTables.overlay G H) =
GraphTransport.reindex
(Overlay.portGraph (PortTables.portGraph G) (ExpanderTables.graph H))
(Equiv.refl _) (PreprocessingOverlayTables.overlayPorts d e) := by
unfold PreprocessingOverlayTables.overlay
rw [materialize_portGraph]
rfl
theorem overlay_rotation_eq {n d e : Nat} (G : PortTables.Table n d)
(H : ExpanderTables.Table n e) (x : Fin n × Fin (d + e)) :
PortTables.rotation (PreprocessingOverlayTables.overlay G H) x =
(GraphTransport.reindex
(Overlay.portGraph (PortTables.portGraph G) (ExpanderTables.graph H))
(Equiv.refl _) (PreprocessingOverlayTables.overlayPorts d e)).rot x := by
change (PortTables.portGraph (PreprocessingOverlayTables.overlay G H)).rot x = _
rw [overlay_portGraph]
theorem lazy_portGraph {n d : Nat} (G : PortTables.Table n d) :
PortTables.portGraph (PreprocessingOverlayTables.lazy G) =
GraphTransport.reindex (lazyGraph (PortTables.portGraph G))
(Equiv.refl _) (PreprocessingOverlayTables.lazyPorts d) := by
unfold PreprocessingOverlayTables.lazy
rw [materialize_portGraph]
rfl
theorem lazy_rotation_eq {n d : Nat} (G : PortTables.Table n d)
(x : Fin n × Fin (2 * d)) :
PortTables.rotation (PreprocessingOverlayTables.lazy G) x =
(GraphTransport.reindex (lazyGraph (PortTables.portGraph G))
(Equiv.refl _) (PreprocessingOverlayTables.lazyPorts d)).rot x := by
change (PortTables.portGraph (PreprocessingOverlayTables.lazy G)).rot x = _
rw [lazy_portGraph]
theorem overlay_certificate_seven_eighths {n d e : Nat}
(G : PortTables.Table n d) (H : ExpanderTables.Table n e)
(hn : 0 < n) (hdegree : d = e + 1) (he : 8 ≤ e)
(hH : SpectralCertificate (ExpanderTables.graph H) (1 / 2 : ℝ)) :
SpectralCertificate (PortTables.portGraph (PreprocessingOverlayTables.overlay G H))
(7 / 8 : ℝ) := by
let : Nonempty (Fin n) := ⟨⟨0, hn⟩⟩
rw [overlay_portGraph]
apply GraphTransport.reindex_spectralCertificate
apply Overlay.spectralCertificate_seven_eighths
(PortTables.portGraph G) (ExpanderTables.graph H)
· simpa only [Fintype.card_fin] using hdegree
· simp only [Fintype.card_fin]
omega
· exact hH
theorem lazy_certificate_31_32 {n d : Nat} (G : PortTables.Table n d)
(hd : 0 < d) (hG : SpectralCertificate (PortTables.portGraph G) (7 / 8 : ℝ)) :
SpectralCertificate (PortTables.portGraph (PreprocessingOverlayTables.lazy G))
(31 / 32 : ℝ) := by
let : Nonempty (Fin d) := ⟨⟨0, hd⟩⟩
rw [lazy_portGraph]
exact GraphTransport.reindex_spectralCertificate _ _ _ _
(LazySpectral.lazy_certificate_31_32 (PortTables.portGraph G) hG)
end BinPackingGames.Foundations.PCP.PreprocessingTableSpectral
end OAI