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import OAI.Combinatorics.CycleDecomposition.ScaleExtraction
namespace OAI
universe u
universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6
section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
section
namespace ErdosGallai.Scale
open Finset SimpleGraph Classical Real
variable {V : Type cycleUniverse1} [Fintype V] [DecidableEq V]
lemma edgeOccurrences_refine {I : Type cycleUniverse2} (L : List I)
(g : I → SimpleGraph V) (f : I → List (SimpleGraph V))
(h : ∀ i ∈ L, GraphPartition (g i) (f i)) (x y : V) :
edgeOccurrences (L.flatMap f) x y = edgeOccurrences (L.map g) x y := by
induction L with
| nil => simp
| cons i L ih =>
simp only [List.flatMap_cons, edgeOccurrences_append, List.map_cons,
edgeOccurrences_cons]
rw [h i (by simp), ih (fun j hj => h j (by simp [hj]))]
lemma graphPartition_refine {I : Type cycleUniverse3} {G : SimpleGraph V}
{C : List (SimpleGraph V)} {L : List I}
{g : I → SimpleGraph V} {f : I → List (SimpleGraph V)}
(hp : GraphPartition G (C ++ L.map g))
(h : ∀ i ∈ L, GraphPartition (g i) (f i)) :
GraphPartition G (C ++ L.flatMap f) := by
intro x y
simpa only [edgeOccurrences_append, edgeOccurrences_refine L g f h] using hp x y
theorem scale_split : ∃ Dsp : ℝ, ∀ D ≥ Dsp,
∀ (V : Type u) [Fintype V] [DecidableEq V]
(G : SimpleGraph V) (A : Finset V), A.Nonempty → SupportedOn G A →
2*(edgeCount G : ℝ)/A.card ≤ D →
∃ (C : List (SimpleGraph V)) (L : List (AssignedPiece V))
(R : AssignedPiece V → List (AssignedPiece V))
(H : AssignedPiece V → SimpleGraph V),
(∀ K ∈ C, IsCycleGraph K ∧ D^(101/100:ℝ) ≤ (edgeCount K : ℝ)) ∧
(C.length : ℝ) ≤ A.card/(2*D^(1/100:ℝ)) ∧
(∀ P ∈ L, P.vertices ⊆ A ∧ P.vertices.Nonempty ∧
(P.vertices.card : ℝ) ≤ D^(51/50:ℝ)) ∧
(∀ x ∈ A, ∃ P ∈ L, x ∈ P.vertices) ∧
(L.map (fun P => (P.vertices.card : ℝ))).sum ≤ (1+2/logb 2 D)*A.card ∧
(∀ P ∈ L,
(∀ Q ∈ R P, Q.vertices ⊆ P.vertices ∧
D^(9/10:ℝ) ≤ Q.vertices.card ∧
(Q.vertices.card:ℝ) ≤ D^(51/50:ℝ) ∧
CutExpansionOn Q.graph Q.vertices (D^(9/10:ℝ))) ∧
(R P).Pairwise (fun Q T => Disjoint Q.vertices T.vertices) ∧
GraphPartition P.graph (H P :: (R P).map AssignedPiece.graph) ∧
SupportedOn (H P) P.vertices ∧
2*(edgeCount (H P) : ℝ)/P.vertices.card ≤ D^(19/20:ℝ)) ∧
GraphPartition G (C ++ L.flatMap (fun P => H P :: (R P).map AssignedPiece.graph)) := by
classical
obtain ⟨D₁,h₁⟩ := scale_boxes.{u}
obtain ⟨D₂,h₂⟩ := scale_cut_extraction.{u}
refine ⟨max D₁ D₂, ?_⟩
intro D hD V _ _ G A hA hs hd
obtain ⟨C,L,hC,hCN,hL,hcover,hp,hcost⟩ :=
h₁ D ((le_max_left _ _).trans hD) V G A hA hs hd
have hres : ∀ P : AssignedPiece V,
∃ (R : List (AssignedPiece V)) (H : SimpleGraph V), P ∈ L →
(∀ Q ∈ R, Q.vertices ⊆ P.vertices ∧
D^(9/10:ℝ) ≤ Q.vertices.card ∧
(Q.vertices.card:ℝ) ≤ D^(51/50:ℝ) ∧
CutExpansionOn Q.graph Q.vertices (D^(9/10:ℝ))) ∧
R.Pairwise (fun Q T => Disjoint Q.vertices T.vertices) ∧
GraphPartition P.graph (H :: R.map AssignedPiece.graph) ∧
SupportedOn H P.vertices ∧
2*(edgeCount H : ℝ)/P.vertices.card ≤ D^(19/20:ℝ) := by
intro P
by_cases hP : P ∈ L
· obtain ⟨R,H,hgood⟩ := h₂ D ((le_max_right _ _).trans hD) V
P.graph P.vertices (hL P hP).2.1 P.supported (hL P hP).2.2
exact ⟨R,H,fun _ => hgood⟩
· exact ⟨[],⊥,fun hp => False.elim (hP hp)⟩
choose R H hR using hres
refine ⟨C,L,R,H,hC,hCN,hL,hcover,hcost,hR,?_⟩
exact graphPartition_refine hp (fun P hP => (hR P hP).2.2.1)
end ErdosGallai.Scale
namespace ErdosGallai.Scale
noncomputable section
open Real Filter Finset
open scoped Topology
def scaleTheta : ℝ := 19/20
def inductionScale (n : ℝ) (j : ℕ) : ℝ := n ^ (scaleTheta ^ j)
lemma scaleTheta_pos : 0 < scaleTheta := by norm_num [scaleTheta]
lemma scaleTheta_lt_one : scaleTheta < 1 := by norm_num [scaleTheta]
lemma inductionScale_zero (n : ℝ) : inductionScale n 0 = n := by
simp [inductionScale]
lemma inductionScale_pos (n : ℝ) (hn : 0 < n) (j : ℕ) :
0 < inductionScale n j := Real.rpow_pos_of_pos hn _
lemma inductionScale_succ (n : ℝ) (hn : 0 ≤ n) (j : ℕ) :
inductionScale n (j+1) = (inductionScale n j) ^ scaleTheta := by
simp only [inductionScale, pow_succ, Real.rpow_mul hn]
lemma inductionScale_gt_one (n : ℝ) (hn : 1 < n) (j : ℕ) :
1 < inductionScale n j := by
simpa [inductionScale] using Real.rpow_lt_rpow_of_exponent_lt hn
(pow_pos scaleTheta_pos j)
lemma inductionScale_le (n : ℝ) (hn : 1 ≤ n) (j : ℕ) :
inductionScale n j ≤ n := by
have hp : scaleTheta ^ j ≤ 1 := pow_le_one₀ scaleTheta_pos.le scaleTheta_lt_one.le
simpa [inductionScale] using Real.rpow_le_rpow_of_exponent_le hn hp
lemma inductionScale_log (n : ℝ) (hn : 0 < n) (j : ℕ) :
logb 2 (inductionScale n j) = scaleTheta ^ j * logb 2 n := by
exact Real.logb_rpow_eq_mul_logb_of_pos hn
lemma inductionScale_log_pos (n : ℝ) (hn : 1 < n) (j : ℕ) :
0 < logb 2 (inductionScale n j) := by
exact Real.logb_pos (by norm_num) (inductionScale_gt_one n hn j)
lemma inductionScale_log_succ (n : ℝ) (hn : 0 < n) (j : ℕ) :
logb 2 (inductionScale n (j+1)) = scaleTheta * logb 2 (inductionScale n j) := by
rw [inductionScale_log n hn, inductionScale_log n hn, pow_succ]
ring
lemma inductionScale_add (n : ℝ) (hn : 0 ≤ n) (i K : ℕ) :
inductionScale n (i+K) = (inductionScale n i) ^ (scaleTheta ^ K) := by
simp only [inductionScale, pow_add, Real.rpow_mul hn]
lemma inductionScale_window : (51/50 : ℝ) * scaleTheta ^ 200 < 1/1000 ∧
scaleTheta ^ 201 < 1/1000 := by
norm_num [scaleTheta]
lemma inductionScale_tendsto (n : ℝ) (hn : 0 < n) :
Tendsto (inductionScale n) atTop (𝓝 1) := by
have ht := (Real.continuous_const_rpow (ne_of_gt hn)).tendsto 0
change Tendsto (fun j : ℕ => n ^ (scaleTheta ^ j)) atTop (𝓝 1)
simpa only [Function.comp_def, Real.rpow_zero] using
ht.comp (tendsto_pow_atTop_nhds_zero_of_lt_one scaleTheta_pos.le scaleTheta_lt_one)
theorem inductionScale_first_cutoff (n Dstar : ℝ) (hD : 1 < Dstar) (hn : Dstar ≤ n) :
∃ m : ℕ, 0 < m ∧ inductionScale n m < Dstar ∧
∀ j < m, Dstar ≤ inductionScale n j := by
have hn0 : 0 < n := lt_trans (by norm_num) (hD.trans_le hn)
have he : ∀ᶠ j in atTop, inductionScale n j < Dstar :=
(inductionScale_tendsto n hn0).eventually (gt_mem_nhds hD)
have hex : ∃ j, inductionScale n j < Dstar := he.exists
refine ⟨Nat.find hex, ?_, Nat.find_spec hex, ?_⟩
· by_contra hm
have hz : Nat.find hex = 0 := by omega
have := Nat.find_spec hex
rw [hz, inductionScale_zero] at this
linarith
· intro j hj
exact le_of_not_gt (Nat.find_min hex hj)
theorem scale_reciprocal_log_sum (n : ℝ) (hn : 1 < n) (j : ℕ) :
(∑ l ∈ Finset.range (j+1), 1 / logb 2 (inductionScale n l)) ≤
20 / logb 2 (inductionScale n j) := by
induction j with
| zero =>
simp only [zero_add, Finset.sum_range_succ, Finset.sum_range_zero, zero_add]
exact div_le_div_of_nonneg_right (by norm_num) (inductionScale_log_pos n hn 0).le
| succ j ih =>
rw [Finset.sum_range_succ]
have hb : (∑ x ∈ range (j + 1), 1 / logb 2 (inductionScale n x)) +
1 / logb 2 (inductionScale n (j+1)) ≤
20 / logb 2 (inductionScale n j) + 1 / logb 2 (inductionScale n (j+1)) := by
linarith [ih]
apply hb.trans_eq
rw [inductionScale_log_succ n (by linarith)]
have hz : logb 2 (inductionScale n j) ≠ 0 := ne_of_gt (inductionScale_log_pos n hn j)
dsimp [scaleTheta]
field_simp
; ring
lemma exp_le_one_add_twice {x : ℝ} (hx : 0 ≤ x) (hxhalf : x ≤ 1/2) :
exp x ≤ 1+2*x := by
apply (Real.exp_bound_div_one_sub_of_interval hx (by linarith)).trans
apply (div_le_iff₀ (by linarith : 0 < 1-x)).mpr
nlinarith
theorem scale_overlap_product (n C₀ : ℝ) (hn : 1 < n) (hC : 0 ≤ C₀) (j : ℕ)
(hcut : 40*C₀ ≤ logb 2 (inductionScale n j)) :
(∏ l ∈ Finset.range (j+1), (1 + C₀ / logb 2 (inductionScale n l))) ≤
1 + 40*C₀ / logb 2 (inductionScale n j) := by
have hL := inductionScale_log_pos n hn j
have hsum : (∑ l ∈ Finset.range (j+1), C₀ / logb 2 (inductionScale n l)) ≤
20*C₀ / logb 2 (inductionScale n j) := by
have hh := mul_le_mul_of_nonneg_left (scale_reciprocal_log_sum n hn j) hC
calc
_ ≤ C₀ * (20 / logb 2 (inductionScale n j)) := by
simpa only [Finset.mul_sum, mul_one_div] using hh
_ = _ := by ring
calc
_ ≤ ∏ l ∈ Finset.range (j+1), exp (C₀ / logb 2 (inductionScale n l)) := by
apply Finset.prod_le_prod₀
· intro l hl
have := div_nonneg hC (inductionScale_log_pos n hn l).le
linarith
· intro l hl
simpa [add_comm] using Real.add_one_le_exp (C₀ / logb 2 (inductionScale n l))
_ = exp (∑ l ∈ Finset.range (j+1), C₀ / logb 2 (inductionScale n l)) :=
(Real.exp_sum _ _).symm
_ ≤ exp (20*C₀ / logb 2 (inductionScale n j)) := Real.exp_le_exp.mpr hsum
_ ≤ 1 + 2*(20*C₀ / logb 2 (inductionScale n j)) := by
apply exp_le_one_add_twice (div_nonneg (by positivity) hL.le)
apply (div_le_iff₀ hL).mpr
linarith
_ = _ := by ring
theorem scale_prefix_cycle_cost (n : ℝ) (hn : 1 < n) (j : ℕ) (A : ℕ → ℝ)
(hA : ∀ l ∈ Finset.range (j+1), A l ≤ 2*n)
(hscale : ∀ l ∈ Finset.range (j+1),
1 / (inductionScale n l) ^ (1/100 : ℝ) ≤ 1 / logb 2 (inductionScale n l)) :
(∑ l ∈ Finset.range (j+1), A l / (2*(inductionScale n l) ^ (1/100 : ℝ))) ≤
20*n / logb 2 (inductionScale n j) := by
have hn0 : 0 < n := by linarith
calc
_ ≤ ∑ l ∈ Finset.range (j+1), n * (1 / logb 2 (inductionScale n l)) := by
apply Finset.sum_le_sum
intro l hl
have hp : 0 < (inductionScale n l) ^ (1/100 : ℝ) :=
Real.rpow_pos_of_pos (inductionScale_pos n hn0 l) _
calc
_ ≤ 2*n / (2*(inductionScale n l) ^ (1/100 : ℝ)) :=
div_le_div_of_nonneg_right (hA l hl) (by positivity)
_ = n * (1 / (inductionScale n l) ^ (1/100 : ℝ)) := by ring
_ ≤ _ := mul_le_mul_of_nonneg_left (hscale l hl) hn0.le
_ = n * (∑ l ∈ Finset.range (j+1), 1 / logb 2 (inductionScale n l)) :=
(Finset.mul_sum _ _ _).symm
_ ≤ n * (20 / logb 2 (inductionScale n j)) :=
mul_le_mul_of_nonneg_left (scale_reciprocal_log_sum n hn j) hn0.le
_ = _ := by ring
end
end ErdosGallai.Scale
namespace ErdosGallai.Scale
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V]
structure StageSplit (P : AssignedPiece V) where
cycles : List (SimpleGraph V)
boxes : List (AssignedPiece V)
pieces : AssignedPiece V → List (AssignedPiece V)
remainder : AssignedPiece V → SimpleGraph V
cycles_good : ∀ K ∈ cycles, IsCycleGraph K
box_subset : ∀ B ∈ boxes, B.vertices ⊆ P.vertices
box_nonempty : P.vertices.Nonempty → ∀ B ∈ boxes, B.vertices.Nonempty
box_cover : ∀ v ∈ P.vertices, ∃ B ∈ boxes, v ∈ B.vertices
piece_subset : ∀ B ∈ boxes, ∀ R ∈ pieces B, R.vertices ⊆ B.vertices
piece_disjoint : ∀ B ∈ boxes, (pieces B).Pairwise fun R S => Disjoint R.vertices S.vertices
remainder_supported : ∀ B ∈ boxes, SupportedOn (remainder B) B.vertices
box_partition : ∀ B ∈ boxes, GraphPartition B.graph (remainder B :: (pieces B).map AssignedPiece.graph)
partition : GraphPartition P.graph (cycles ++ boxes.map AssignedPiece.graph)
def StageSplit.Bounded {P : AssignedPiece V} (s : StageSplit P) (D : ℝ) : Prop :=
(s.cycles.length:ℝ) ≤ P.vertices.card / (2*D^(1/100:ℝ)) ∧
(s.boxes.map (fun B => (B.vertices.card:ℝ))).sum ≤ (1+2/logb 2 D)*P.vertices.card ∧
(∀ B ∈ s.boxes, (B.vertices.card:ℝ) ≤ D^(51/50:ℝ)) ∧
(∀ B ∈ s.boxes, ∀ R ∈ s.pieces B,
D^(9/10:ℝ) ≤ (R.vertices.card:ℝ) ∧ (R.vertices.card:ℝ) ≤ D^(51/50:ℝ) ∧
CutExpansionOn R.graph R.vertices (D^(9/10:ℝ))) ∧
(∀ B ∈ s.boxes, 2*(edgeCount (s.remainder B):ℝ)/B.vertices.card ≤ D^(19/20:ℝ))
def StageSplit.trivial (P : AssignedPiece V) : StageSplit P where
cycles := []
boxes := [P]
pieces := fun _ => []
remainder := AssignedPiece.graph
cycles_good := by simp
box_subset := by simp
box_nonempty := by simp
box_cover := by intro v hv; exact ⟨P,by simp,hv⟩
piece_subset := by simp
piece_disjoint := by simp
remainder_supported := fun B _ => B.supported
box_partition := by intro B _ x y; simp
partition := by intro x y; simp
theorem scale_splitter : ∃ Dsp : ℝ, ∀ (V : Type) [Fintype V] [DecidableEq V],
∃ split : ∀ (_D : ℝ) (P : AssignedPiece V), StageSplit P,
∀ D ≥ Dsp, ∀ P, P.vertices.Nonempty →
2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ D → (split D P).Bounded D := by
obtain ⟨Dsp,hsp⟩ := scale_split
refine ⟨Dsp,?_⟩
intro V _ _
have hex (D : ℝ) (P : AssignedPiece V) : ∃ s : StageSplit P,
Dsp ≤ D → P.vertices.Nonempty → 2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ D → s.Bounded D := by
by_cases h : Dsp ≤ D ∧ P.vertices.Nonempty ∧ 2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ D
· obtain ⟨C,L,R,H,hC,hCl,hL,hcover,horder,hR,hpart⟩ :=
hsp D h.1 V P.graph P.vertices h.2.1 P.supported h.2.2
have hpart' : GraphPartition P.graph (C ++ L.map AssignedPiece.graph) := by
intro x y
rw [edgeOccurrences_append, ← edgeOccurrences_refine L AssignedPiece.graph
(fun B => H B :: (R B).map AssignedPiece.graph) (fun B hB => (hR B hB).2.2.1)]
simpa only [edgeOccurrences_append] using hpart x y
let s : StageSplit P := {
cycles := C, boxes := L, pieces := R, remainder := H
cycles_good := fun K hK => (hC K hK).1
box_subset := fun B hB => (hL B hB).1
box_nonempty := fun _ B hB => (hL B hB).2.1
box_cover := hcover
piece_subset := fun B hB Q hQ => (hR B hB).1 Q hQ |>.1
piece_disjoint := fun B hB => (hR B hB).2.1
remainder_supported := fun B hB => (hR B hB).2.2.2.1
box_partition := fun B hB => (hR B hB).2.2.1
partition := hpart' }
refine ⟨s,fun _ _ _ => ⟨hCl,horder,fun B hB => (hL B hB).2.2,?_,?_⟩⟩
· exact fun B hB Q hQ => (hR B hB).1 Q hQ |>.2
· exact fun B hB => (hR B hB).2.2.2.2
· exact ⟨StageSplit.trivial P,fun hD hP hdeg => False.elim (h ⟨hD,hP,hdeg⟩)⟩
choose s hs using hex
exact ⟨s,fun D hD P hP hdeg => hs D P hD hP hdeg⟩
def StageSplit.children {P : AssignedPiece V} (s : StageSplit P) : List (AssignedPiece V) :=
s.boxes.pmap (fun B hB => ⟨B.vertices,s.remainder B,s.remainder_supported B hB⟩) (fun _ h => h)
lemma StageSplit.mem_children {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {P : AssignedPiece V} (s : StageSplit P) (Q : AssignedPiece V) :
Q ∈ s.children ↔ ∃ B ∈ s.boxes, Q.vertices = B.vertices ∧ Q.graph = s.remainder B := by
simp only [StageSplit.children, List.mem_pmap]
constructor
· rintro ⟨B,hB,rfl⟩; exact ⟨B,hB,rfl,rfl⟩
· rintro ⟨B,hB,hv,hg⟩
refine ⟨B,hB,?_⟩
cases Q; cases B; simp_all
lemma StageSplit.children_map {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {P : AssignedPiece V} (s : StageSplit P)
{α : Type cycleUniverse4} (f : Finset V → SimpleGraph V → α) :
s.children.map (fun Q => f Q.vertices Q.graph) =
s.boxes.map (fun B => f B.vertices (s.remainder B)) := by
unfold StageSplit.children
rw [List.map_pmap]
change List.pmap (fun B (_ : B ∈ s.boxes) => f B.vertices (s.remainder B)) s.boxes _ = _
exact List.pmap_eq_map (fun B (h : B ∈ s.boxes) => h)
lemma list_disjoint_card_le {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (L : List (Finset V)) (A : Finset V)
(hd : L.Pairwise Disjoint) (hA : ∀ B ∈ L, B ⊆ A) :
(L.map Finset.card).sum ≤ A.card := by
induction L generalizing A with
| nil => simp
| cons B L ih =>
obtain ⟨hBL,hd⟩ := List.pairwise_cons.mp hd
have hBA := hA B (by simp)
have hLA : ∀ C ∈ L, C ⊆ A \ B := by
intro C hC v hv
exact Finset.mem_sdiff.mpr ⟨hA C (by simp [hC]) hv,
fun hb => Finset.disjoint_left.mp (hBL C hC) hb hv⟩
have hh := ih (A \ B) hd hLA
have hc := Finset.card_sdiff_of_subset hBA
have hBAcard := Finset.card_le_card hBA
simp only [List.map_cons,List.sum_cons]
omega
def vertexMass (L : List (AssignedPiece V)) : ℝ :=
(L.map (fun P => (P.vertices.card:ℝ))).sum
lemma vertexMass_nonneg {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (L : List (AssignedPiece V)) : 0 ≤ vertexMass L :=
List.sum_nonneg (fun x hx => by obtain ⟨P,_,rfl⟩ := List.mem_map.mp hx; positivity)
@[simp] lemma vertexMass_nil {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] : vertexMass ([] : List (AssignedPiece V)) = 0 := rfl
@[simp] lemma vertexMass_cons {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : AssignedPiece V) (L) :
vertexMass (P::L) = P.vertices.card + vertexMass L := rfl
@[simp] lemma vertexMass_append {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (L M : List (AssignedPiece V)) :
vertexMass (L++M) = vertexMass L + vertexMass M := by simp [vertexMass]
lemma vertexMass_flatMap {I : Type cycleUniverse5} (L : List I) (f : I → List (AssignedPiece V)) :
vertexMass (L.flatMap f) = (L.map (fun i => vertexMass (f i))).sum := by
induction L with
| nil => simp
| cons i L ih => simp [ih]
lemma StageSplit.children_mass {P : AssignedPiece V} (s : StageSplit P) :
vertexMass s.children = vertexMass s.boxes := by
unfold vertexMass
rw [s.children_map (fun A _ => (A.card:ℝ))]
lemma StageSplit.pieces_mass {P : AssignedPiece V} (s : StageSplit P) {B : AssignedPiece V}
(hB : B ∈ s.boxes) : vertexMass (s.pieces B) ≤ B.vertices.card := by
have hh := list_disjoint_card_le ((s.pieces B).map AssignedPiece.vertices) B.vertices
(List.pairwise_map.mpr (s.piece_disjoint B hB)) (by
intro A hA; obtain ⟨Q,hQ,rfl⟩ := List.mem_map.mp hA
exact s.piece_subset B hB Q hQ)
simpa [vertexMass,List.map_map,Function.comp_def] using (Nat.cast_le.mpr hh : (_:ℝ) ≤ _)
end
end ErdosGallai.Scale
namespace ErdosGallai.Scale
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V]
abbrev SplitSystem (V : Type) [Fintype V] [DecidableEq V] :=
ℕ → (P : AssignedPiece V) → StageSplit P
def nextLayer (s : SplitSystem V) (j : ℕ) (L : List (AssignedPiece V)) : List (AssignedPiece V) :=
L.flatMap fun P => (s j P).children
def advance (s : SplitSystem V) (j : ℕ) : ℕ → List (AssignedPiece V) → List (AssignedPiece V)
| 0,L => L
| k+1,L => nextLayer s (j+k) (advance s j k L)
@[simp] lemma advance_zero (s : SplitSystem V) (j) (L) : advance s j 0 L = L := rfl
@[simp] lemma advance_succ (s : SplitSystem V) (j k) (L) :
advance s j (k+1) L = nextLayer s (j+k) (advance s j k L) := rfl
lemma advance_add (s : SplitSystem V) (j k l) (L) :
advance s j (k+l) L = advance s (j+k) l (advance s j k L) := by
induction l with
| zero => simp
| succ l ih => simp only [Nat.add_succ,advance_succ,ih,Nat.add_assoc]
lemma advance_flatMap (s : SplitSystem V) (j k) {I : Type cycleUniverse6}
(L : List I) (f : I → List (AssignedPiece V)) :
advance s j k (L.flatMap f) = L.flatMap (fun i => advance s j k (f i)) := by
induction k with
| zero => rfl
| succ k ih => simp only [advance_succ,nextLayer,ih,List.flatMap_assoc]
lemma nextLayer_mem (s : SplitSystem V) (j) (L) (Q : AssignedPiece V) :
Q ∈ nextLayer s j L ↔ ∃ P ∈ L, ∃ B ∈ (s j P).boxes,
Q.vertices = B.vertices ∧ Q.graph = (s j P).remainder B := by
simp only [nextLayer,List.mem_flatMap,StageSplit.mem_children]
lemma advance_subset (s : SplitSystem V) (j k) (L) (A : Finset V)
(hA : ∀ P ∈ L, P.vertices ⊆ A) :
∀ Q ∈ advance s j k L, Q.vertices ⊆ A := by
induction k with
| zero => exact hA
| succ k ih =>
intro Q hQ
obtain ⟨P,hP,B,hB,hv,_⟩ := (nextLayer_mem s (j+k) _ Q).mp hQ
rw [hv]
exact ((s (j+k) P).box_subset B hB).trans (ih P hP)
lemma advance_nonempty (s : SplitSystem V) (j k) (L)
(hL : ∀ P ∈ L, P.vertices.Nonempty) :
∀ Q ∈ advance s j k L, Q.vertices.Nonempty := by
induction k with
| zero => exact hL
| succ k ih =>
intro Q hQ
obtain ⟨P,hP,B,hB,hv,_⟩ := (nextLayer_mem s (j+k) _ Q).mp hQ
rw [hv]
exact (s (j+k) P).box_nonempty (ih P hP) B hB
lemma advance_cover (s : SplitSystem V) (j k) (L) (P : AssignedPiece V) (hP : P ∈ L)
(v : V) (hv : v ∈ P.vertices) : ∃ Q ∈ advance s j k L, v ∈ Q.vertices := by
induction k with
| zero => exact ⟨P,hP,hv⟩
| succ k ih =>
obtain ⟨Q,hQ,hvQ⟩ := ih
obtain ⟨B,hB,hvB⟩ := (s (j+k) Q).box_cover v hvQ
let T : AssignedPiece V := ⟨B.vertices,(s (j+k) Q).remainder B,
(s (j+k) Q).remainder_supported B hB⟩
exact ⟨T,(nextLayer_mem s (j+k) _ T).mpr ⟨Q,hQ,B,hB,rfl,rfl⟩,hvB⟩
lemma list_union_mem {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (L : List (AssignedPiece V)) (v : V) :
v ∈ L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅ ↔ ∃ P ∈ L, v ∈ P.vertices := by
induction L with
| nil => simp
| cons P L ih =>
simp only [List.foldr_cons,Finset.mem_union,ih,List.mem_cons]
aesop
lemma list_union_card {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (L : List (AssignedPiece V)) :
((L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅).card:ℝ) ≤ vertexMass L := by
induction L with
| nil => simp
| cons P L ih =>
simp only [List.foldr_cons,vertexMass_cons]
have hc := Finset.card_union_le P.vertices (L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅)
have hc' : ((P.vertices ∪ L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅).card:ℝ) ≤
P.vertices.card + (L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅).card := by exact_mod_cast hc
linarith
lemma list_cover_card_le (L : List (AssignedPiece V)) (A : Finset V)
(hcover : ∀ v ∈ A, ∃ P ∈ L, v ∈ P.vertices) : (A.card:ℝ) ≤ vertexMass L := by
have hsub : A ⊆ L.foldr (fun (P : AssignedPiece V) (U : Finset V) => P.vertices ∪ U) ∅ :=
fun v hv => (list_union_mem L v).mpr (hcover v hv)
exact (Nat.cast_le.mpr (Finset.card_le_card hsub)).trans (list_union_card L)
lemma advance_mass_lower (s : SplitSystem V) (j k) (P : AssignedPiece V) :
(P.vertices.card:ℝ) ≤ vertexMass (advance s j k [P]) :=
list_cover_card_le _ _ (fun v hv => advance_cover s j k [P] P (by simp) v hv)
lemma nextLayer_mass_bound (s : SplitSystem V) (j) (L : List (AssignedPiece V)) (D : ℝ)
(hb : ∀ P ∈ L, (s j P).Bounded D) :
vertexMass (nextLayer s j L) ≤ (1+2/logb 2 D)*vertexMass L := by
induction L with
| nil => simp [nextLayer]
| cons P L ih =>
have hP := (hb P (by simp)).2.1
have hL := ih (fun Q hQ => hb Q (by simp [hQ]))
simp only [nextLayer,List.flatMap_cons,vertexMass_append,StageSplit.children_mass,
vertexMass_cons] at hL ⊢
change vertexMass (s j P).boxes ≤ _ at hP
nlinarith
lemma advance_valid (s : SplitSystem V) (n Dstar : ℝ) (hn : 0 ≤ n)
(hs : ∀ l P, Dstar ≤ inductionScale n l → P.vertices.Nonempty →
2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ inductionScale n l →
(s l P).Bounded (inductionScale n l))
(j k : ℕ) (L : List (AssignedPiece V))
(hL : ∀ P ∈ L, P.vertices.Nonempty)
(hdeg : ∀ P ∈ L, 2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ inductionScale n j)
(hcut : ∀ l, j ≤ l → l < j+k → Dstar ≤ inductionScale n l) :
∀ P ∈ advance s j k L,
2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ inductionScale n (j+k) := by
induction k with
| zero => simpa using hdeg
| succ k ih =>
intro Q hQ
obtain ⟨P,hP,B,hB,hv,hg⟩ := (nextLayer_mem s (j+k) _ Q).mp hQ
have hPdeg := ih (fun l hlj hl => hcut l hlj (by omega)) P hP
have hb := hs (j+k) P (hcut (j+k) (by omega) (by omega))
(advance_nonempty s j k L hL P hP) hPdeg
rw [hv,hg,show j+(k+1) = (j+k)+1 by omega,inductionScale_succ n hn]
exact hb.2.2.2.2 B hB
lemma advance_bounded (s : SplitSystem V) (n Dstar : ℝ) (hn : 0 ≤ n)
(hs : ∀ l P, Dstar ≤ inductionScale n l → P.vertices.Nonempty →
2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ inductionScale n l →
(s l P).Bounded (inductionScale n l))
(j k : ℕ) (L : List (AssignedPiece V))
(hL : ∀ P ∈ L, P.vertices.Nonempty)
(hdeg : ∀ P ∈ L, 2*(edgeCount P.graph:ℝ)/P.vertices.card ≤ inductionScale n j)
(hcut : ∀ l, j ≤ l → l ≤ j+k → Dstar ≤ inductionScale n l) :
∀ P ∈ advance s j k L, (s (j+k) P).Bounded (inductionScale n (j+k)) := by
intro P hP
exact hs (j+k) P (hcut _ (by omega) (by omega)) (advance_nonempty s j k L hL P hP)
(advance_valid s n Dstar hn hs j k L hL hdeg (fun l hlj hl => hcut l hlj (by omega)) P hP)
lemma advance_mass_global_product (s : SplitSystem V) (n : ℝ) (hn : 1 < n)
(j k : ℕ) (L : List (AssignedPiece V))
(hb : ∀ l < k, ∀ P ∈ advance s j l L, (s (j+l) P).Bounded (inductionScale n (j+l))) :
vertexMass (advance s j k L) ≤ vertexMass L *
∏ l ∈ Finset.range (j+k), (1+2/logb 2 (inductionScale n l)) := by
have hfac (l) : 1 ≤ 1+2/logb 2 (inductionScale n l) := by
have := div_nonneg (by norm_num : (0:ℝ) ≤ 2) (inductionScale_log_pos n hn l).le
linarith
induction k with
| zero =>
simp only [advance_zero,Nat.add_zero]
exact le_mul_of_one_le_right (vertexMass_nonneg L) (Finset.one_le_prod₀ (fun l _ => hfac l))
| succ k ih =>
have hm := nextLayer_mass_bound s (j+k) (advance s j k L) (inductionScale n (j+k))
(hb k (by omega))
have hi := mul_le_mul_of_nonneg_left (ih (fun l hl => hb l (by omega))) ((hfac (j+k)).trans' (by norm_num : (0:ℝ) ≤ 1))
rw [advance_succ,show j+(k+1) = (j+k)+1 by omega,Finset.prod_range_succ]
calc
_ ≤ (1+2/logb 2 (inductionScale n (j+k))) * vertexMass (advance s j k L) := hm
_ ≤ _ := by nlinarith only [hi]
end
end ErdosGallai.Scale
end
end
end
end OAI