roseking's picture
Add lean source and binary files (part 43)
e63eb7f verified
Raw History Blame Contribute Delete
11.2 kB
import OAI.Combinatorics.CycleDecomposition.LayerCosts
namespace OAI
section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
section
namespace ErdosGallai.Scale
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V] {P : AssignedPiece V} {Dstar : ℝ}
def Layers.pieceSequence (H : Layers P Dstar) (j : ℕ) : ℝ :=
if j < H.count then H.pieceMass j else 0
lemma Layers.pieceSequence_nonneg (H : Layers P Dstar) (j) : 0 ≤ H.pieceSequence j := by
unfold Layers.pieceSequence
split_ifs
· exact vertexMass_nonneg _
· rfl
lemma Layers.pieceSequence_zero (H : Layers P Dstar) (j) (hj : H.count ≤ j) :
H.pieceSequence j = 0 := by simp only [Layers.pieceSequence,ite_eq_right (by omega : ¬ j < H.count)]
lemma Layers.past_mass_eq_sequence (H : Layers P Dstar) (k) (hk : k ≤ H.count) :
vertexMass (pastPieces H.system 0 k [P]) = ∑ j ∈ range k, H.pieceSequence j := by
rw [pastPieces_mass]
apply Finset.sum_congr rfl
intro j hj
simp only [Nat.zero_add,Layers.pieceSequence,ite_eq_left (by have := Finset.mem_range.mp hj; omega : j < H.count)]
lemma Layers.prefix_choice (H : Layers P Dstar) :
vertexMass (pastPieces H.system 0 H.count [P]) = 0 ∨
∃ i < H.count, 0 < H.pieceMass i ∧
∀ k ≤ H.count, k ≤ i+201 →
vertexMass (pastPieces H.system 0 k [P]) ≤ ErdosGallai.mainP*H.pieceMass i := by
by_cases he : ∃ j, 0 < H.pieceSequence j
· right
obtain ⟨i,hi,hpref⟩ := ErdosGallai.prefix_selection H.pieceSequence H.pieceSequence_nonneg
200 H.count H.pieceSequence_zero he
have hic : i < H.count := by
by_contra hi'
rw [H.pieceSequence_zero i (by omega)] at hi
linarith
simp only [Layers.pieceSequence,ite_eq_left hic] at hi
refine ⟨i,hic,hi,?_⟩
intro k hk hki
rw [H.past_mass_eq_sequence k hk]
have hh : (∑ j ∈ range k, H.pieceSequence j) ≤ ∑ j ∈ range (i+200+1), H.pieceSequence j :=
Finset.sum_le_sum_of_subset_of_nonneg (Finset.range_mono (by omega)) (fun j _ _ => H.pieceSequence_nonneg j)
apply hh.trans
norm_num only [Layers.pieceSequence,ite_eq_left hic,ErdosGallai.mainP,Nat.cast_ofNat] at hpref ⊢
exact hpref
· left
rw [H.past_mass_eq_sequence H.count le_rfl]
apply Finset.sum_eq_zero
intro j _
exact le_antisymm (le_of_not_gt (fun h => he ⟨j,h⟩)) (H.pieceSequence_nonneg j)
end
end ErdosGallai.Scale
end
section
namespace ErdosGallai
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
lemma main_edge_bound {V : Type} [Fintype V] (G : SimpleGraph V) :
2*(Scale.edgeCount G:ℝ) ≤ (Fintype.card V:ℝ)^2 := by
classical
have h : (G.edgeFinset.card:ℝ) ≤ ((Fintype.card V).choose 2:ℝ) :=
Nat.cast_le.mpr G.card_edgeFinset_le_card_choose_two
rw [Nat.cast_choose_two] at h
change 2*(G.edgeFinset.card:ℝ) ≤ _
nlinarith [(Nat.cast_nonneg (Fintype.card V) : (0:ℝ) ≤ _)]
lemma main_cost_eq_scale {V : Type} [Fintype V] (G : SimpleGraph V) :
decompositionCost G = Scale.decompositionCost G := by rfl
lemma main_cost_eq_batch {V : Type} [Fintype V] (G : SimpleGraph V) :
decompositionCost G = Batch.decompositionCost G := by rfl
theorem main_cost_bound : ∃ C : ℝ, 0 < C ∧ ∀ (V : Type) [Fintype V] (G : SimpleGraph V),
(decompositionCost G:ℝ) ≤ C*Batch.inductionPhi (Fintype.card V)*Fintype.card V := by
classical
let wmin : ℝ := max 80 (((mainA₁+1)/Batch.inductionDelta)^2)
obtain ⟨Da,ha,hLayers⟩ := Scale.uniform_layers
obtain ⟨Db,hb,hPiece⟩ := Scale.uniform_committed_piece_cost
obtain ⟨Dc,hc,hGap⟩ := Scale.uniform_gap_prefix_cost
obtain ⟨Dr,hr,hReady⟩ := main_scale_ready_cutoff wmin
let Dstar : ℝ := max (max Da Db) (max Dc Dr)
have hDa : Da ≤ Dstar := (le_max_left Da Db).trans (le_max_left _ _)
have hDb : Db ≤ Dstar := (le_max_right Da Db).trans (le_max_left _ _)
have hDc : Dc ≤ Dstar := (le_max_left Dc Dr).trans (le_max_right _ _)
have hDr : Dr ≤ Dstar := (le_max_right Dc Dr).trans (le_max_right _ _)
have hDstar : 1 < Dstar := ha.trans_le hDa
let C : ℝ := max (4*(20+Dstar+18*mainP)) (7*mainA₂)
have hCbig : 4*(20+Dstar+18*mainP) ≤ C := le_max_left _ _
have hCA : 7*mainA₂ ≤ C := le_max_right _ _
have hCpos : 0 < C := lt_of_lt_of_le (by linarith [mainP_pos]) hCbig
have hC : 0 ≤ C := hCpos.le
refine ⟨C,hCpos,?_⟩
have hmain : ∀ n : ℕ, ∀ (V : Type) [Fintype V], Fintype.card V = n → ∀ (G : SimpleGraph V),
(decompositionCost G:ℝ) ≤ C*Batch.inductionPhi (Fintype.card V)*Fintype.card V := by
intro n
induction n using Nat.strong_induction_on with
| h n ih =>
intro V _ hn G
subst n
have hn0 : (0:ℝ) ≤ Fintype.card V := Nat.cast_nonneg _
by_cases hsmall : (Fintype.card V:ℝ) < Dstar
· have he := main_edge_bound G
have hq : (decompositionCost G:ℝ) ≤ Scale.edgeCount G :=
Nat.cast_le.mpr (Scale.decompositionCost_edgeCount G)
have hnD := mul_le_mul_of_nonneg_right hsmall.le hn0
have hphi := mul_le_mul_of_nonneg_left (Batch.inductionPhi_bounds (Fintype.card V)).1
(mul_nonneg hC hn0)
have hbig := mul_le_mul_of_nonneg_right hCbig hn0
have hP := mul_nonneg mainP_pos.le hn0
nlinarith only [he,hq,hnD,hphi,hbig,hP]
· have hnD : Dstar ≤ (Fintype.card V:ℝ) := le_of_not_gt hsmall
have hn1 : 1 < (Fintype.card V:ℝ) := hDstar.trans_le hnD
let P : Scale.AssignedPiece V := ⟨univ,G,fun _ _ _ => ⟨mem_univ _,mem_univ _⟩⟩
have hpc : P.vertices.card = Fintype.card V := Finset.card_univ
have hp1 : 1 < (P.vertices.card:ℝ) := by simpa only [hpc] using hn1
have hdeg : 2*(Scale.edgeCount P.graph:ℝ)/P.vertices.card ≤ P.vertices.card := by
apply (div_le_iff₀ (by linarith : (0:ℝ) < P.vertices.card)).mpr
simpa only [hpc,P,pow_two] using main_edge_bound G
obtain ⟨H⟩ := hLayers Dstar hDa V P (by simpa only [hpc] using hnD) hdeg
have hready' : ∀ j < H.count, MainScaleReady wmin (H.scale j) := by
intro j hj
exact hReady _ (hDr.trans (H.cutoff j hj))
have hready : ∀ j < H.count, MainScaleReady 80 (H.scale j) := by
intro j hj
have hh := hready' j hj
exact ⟨hh.gt_one,(le_max_left _ _).trans hh.log_large,hh.cycle_power,hh.batch_power,
hh.bad_power,hh.skip_power,hh.active_eight⟩
have ihw : ∀ (Q : Type) [Fintype Q] (F : SimpleGraph Q), Fintype.card Q < P.vertices.card →
(decompositionCost F:ℝ) ≤ C*Fintype.card Q := by
intro Q _ F hQ
have hh := ih (Fintype.card Q) (by simpa only [hpc] using hQ) Q rfl F
have hp := mul_le_mul_of_nonneg_left (Batch.inductionPhi_bounds (Fintype.card Q)).2
(mul_nonneg hC (Nat.cast_nonneg (Fintype.card Q) : (0:ℝ) ≤ _))
nlinarith only [hh,hp]
have hpieces := hPiece Dstar hDb V P H C hC ihw
have terminal (hm : Scale.vertexMass (Scale.pastPieces H.system 0 H.count [P]) ≤
2*mainP*P.vertices.card) :
(decompositionCost G:ℝ) ≤ C*Batch.inductionPhi (Fintype.card V)*Fintype.card V := by
have hh := H.terminal_cost hp1 hready (9+C*mainEta) (hpieces H.count le_rfl)
have ht := main_terminal_scalar _ P.vertices.card _ C Dstar (Nat.cast_nonneg _) hC hCbig hm hh
simpa only [hpc,P,← main_cost_eq_scale] using ht
rcases H.prefix_choice with hz | ⟨i,hic,hi,hprefix⟩
· apply terminal
rw [hz]
exact mul_nonneg (mul_nonneg (by norm_num) mainP_pos.le) (Nat.cast_nonneg _)
· by_cases hgap : i+200 < H.count
· let t := C*Batch.inductionPhi ((H.scale i)^(3/10:ℝ))
have ht : 0 ≤ t := mul_nonneg hC (by linarith [(Batch.inductionPhi_bounds ((H.scale i)^(3/10:ℝ))).1])
have ihq : ∀ (Q : Type) [Fintype Q] (F : SimpleGraph Q), Fintype.card Q < P.vertices.card →
(Fintype.card Q:ℝ) ≤ (H.scale i)^(3/10:ℝ) →
(Batch.decompositionCost F:ℝ) ≤ t*Fintype.card Q := by
intro Q _ F hQ hQD
have hh := ih (Fintype.card Q) (by simpa only [hpc] using hQ) Q rfl F
by_cases h0 : Fintype.card Q = 0
· simpa only [h0,Nat.cast_zero,mul_zero,← main_cost_eq_batch] using hh
· have h1 : (1:ℝ) ≤ Fintype.card Q := by exact_mod_cast (by omega : 1 ≤ Fintype.card Q)
have hp := Batch.inductionPhi_monotone h1 (h1.trans hQD) hQD
have hp' := mul_le_mul_of_nonneg_left hp
(mul_nonneg hC (Nat.cast_nonneg (Fintype.card Q) : (0:ℝ) ≤ _))
change (decompositionCost F:ℝ) ≤ C*Batch.inductionPhi ((H.scale i)^(3/10:ℝ))*Fintype.card Q
nlinarith only [hh,hp']
have hlocal := hGap Dstar hDc V P H hp1 hready i hgap C t hC ht ihw ihq
(hpieces (i+201) (by omega))
have hscalar := main_gap_scalar _ P.vertices.card (H.pieceMass i)
(Scale.vertexMass (Scale.pastPieces H.system 0 (i+201) [P]))
((Scale.pastCycles H.system 0 (i+201) [P]).length:ℝ)
(H.mass (i+201)) (H.mass (i+1)) C t (logb 2 (H.scale i))
(Nat.cast_nonneg _) (Scale.vertexMass_nonneg _) hC ht
(by linarith [(hready i hic).log_large])
(hprefix (i+201) (by omega) le_rfl) (H.gap_cycles hp1 hready i hgap)
(H.gap_mass hp1 hready i hgap) (H.mass_lower (i+1))
(H.mass_two hp1 (fun j hj => (hready j hj).log_large) (i+1) (by omega)) hlocal
have habs := Batch.induction_cost_absorbed (H.scale i) P.vertices.card (H.pieceMass i)
C mainA₁ mainA₂ (hready i hic).gt_one (Scale.inductionScale_le _ hp1.le i)
(Scale.vertexMass_nonneg _) hC mainA₁_nonneg mainA₂_nonneg hCA
(by linarith [(hready i hic).log_large])
((le_max_right _ _).trans (hready' i hic).log_large)
have hfinal := hscalar.trans habs
simpa only [hpc,P,← main_cost_eq_scale] using hfinal
· apply terminal
calc
_ ≤ mainP*H.pieceMass i := hprefix H.count le_rfl (by omega)
_ ≤ mainP*(2*P.vertices.card) := mul_le_mul_of_nonneg_left
(H.pieceMass_two hp1 (fun j hj => (hready j hj).log_large) i hic) mainP_pos.le
_ = _ := by ring
intro V _ G
exact hmain (Fintype.card V) V rfl G
theorem erdos_gallai : MainStatement := by
obtain ⟨C,hC,hcost⟩ := main_cost_bound
refine ⟨C,hC,?_⟩
intro n G
refine ⟨decompositionCost G,decompositionCost_spec G,?_⟩
have hh := hcost (Fin n) G
simp only [Fintype.card_fin] at hh
have hp := mul_le_mul_of_nonneg_left (Batch.inductionPhi_bounds n).2
(mul_nonneg hC.le (Nat.cast_nonneg n : (0:ℝ) ≤ _))
nlinarith only [hh,hp]
end
end ErdosGallai
end
end
end
end OAI