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import OAI.Combinatorics.CycleDecomposition.UniformLayers
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]
lemma assigned_union_edges (L : List (AssignedPiece V)) :
(⋃ i : Fin L.length, (L.get i).graph.edgeSet) = (graphUnion (L.map AssignedPiece.graph)).edgeSet := by
ext e
induction e using Sym2.ind with
| _ x y =>
simp only [Set.mem_iUnion,SimpleGraph.mem_edgeSet]
rw [graphUnion_adj]
constructor
· rintro ⟨i,hi⟩
exact ⟨_,List.mem_map.mpr ⟨_,L.get_mem i,rfl⟩,hi⟩
· rintro ⟨G,hG,hxy⟩
obtain ⟨Q,hQ,rfl⟩ := List.mem_map.mp hG
obtain ⟨i,rfl⟩ := List.mem_iff_get.mp hQ
exact ⟨i,hxy⟩
lemma box_coupled_partition {B R : AssignedPiece V} (A : List (AssignedPiece V))
(hBR : GraphPartition B.graph (R.graph :: A.map AssignedPiece.graph))
(s : SplitSystem V) (j k : ℕ) :
GraphPartition (graphUnion ((advance s j k [R]).map AssignedPiece.graph ++ A.map AssignedPiece.graph))
((advance s j k [R]).map AssignedPiece.graph ++ A.map AssignedPiece.graph) := by
apply graphPartition_of_le_one
intro x y
have hb := hBR x y
have hr := past_partition s j k R x y
simp only [edgeOccurrences_cons,edgeOccurrences_append] at hb hr ⊢
split_ifs at hb hr <;> omega
theorem uniform_local_box_cost : ∃ D₀ : ℝ, 1 < D₀ ∧ ∀ D ≥ D₀, ∀ wmin : ℝ,
ErdosGallai.MainScaleReady wmin D →
∀ (V : Type) [Fintype V] (L A : List (AssignedPiece V)) (Y : Finset V),
GraphPartition (graphUnion (L.map AssignedPiece.graph ++ A.map AssignedPiece.graph))
(L.map AssignedPiece.graph ++ A.map AssignedPiece.graph) →
A.Pairwise (fun R S => Disjoint R.vertices S.vertices) →
(∀ R ∈ A, R.vertices ⊆ Y) →
(∀ Q ∈ L, Q.vertices ⊆ Y) →
(∀ v ∈ Y, ∃ Q ∈ L, v ∈ Q.vertices) →
(∀ Q ∈ L, Q.vertices.Nonempty ∧ (Q.vertices.card:ℝ) ≤ D^(1/1000:ℝ) ∧
2*(edgeCount Q.graph:ℝ)/Q.vertices.card ≤ D^(1/1000:ℝ)) →
(∀ R ∈ A, 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))) →
(Y.card:ℝ) ≤ D^(51/50:ℝ) → vertexMass L ≤ 2*Y.card →
∀ (n : ℕ) (C t : ℝ), 0 ≤ C → 0 ≤ t → Y.card ≤ n → D^(3/10:ℝ) < n →
(∀ (Q : Type) [Fintype Q] (H : SimpleGraph Q), Fintype.card Q < n →
(ErdosGallai.decompositionCost H:ℝ) ≤ C*Fintype.card Q) →
(∀ (Q : Type) [Fintype Q] (H : SimpleGraph Q), Fintype.card Q < n →
(Fintype.card Q:ℝ) ≤ D^(3/10:ℝ) → (Batch.decompositionCost H:ℝ) ≤ t*Fintype.card Q) →
(decompositionCost (graphUnion (L.map AssignedPiece.graph ++ A.map AssignedPiece.graph)):ℝ) ≤
(9+C*ErdosGallai.mainEta)*vertexMass A + (t+8)*vertexMass L +
(8-t/3)*vertexMass A + ((2/3)*t/logb 2 D-8)*Y.card := by
obtain ⟨D₀,hD₀,hbox⟩ := ErdosGallai.uniform_box_cost
refine ⟨D₀,hD₀,?_⟩
intro D hD wmin hready V _ L A Y hpart hAd hAY hLY hcover hL hA hY hmass
n C t hC ht hYn hsmall ih ihq
let F := graphUnion (L.map AssignedPiece.graph)
let G := graphUnion (L.map AssignedPiece.graph ++ A.map AssignedPiece.graph)
let R (r : Fin A.length) := (A.get r).graph
let U (r : Fin A.length) := (A.get r).vertices
have hp := List.pairwise_append.mp (graphPartition_pairwise hpart)
have hLL := list_pairwise_get (List.pairwise_map.mp hp.1) (fun _ _ h => h.symm)
have hRR : Pairwise (fun r s => Disjoint (R r).edgeSet (R s).edgeSet) :=
list_pairwise_get (List.pairwise_map.mp hp.2.1) (fun _ _ h => h.symm)
have hUU : Pairwise (fun r s => Disjoint (U r) (U s)) :=
list_pairwise_get hAd (fun _ _ h => h.symm)
have hFR (r) : Disjoint F.edgeSet (R r).edgeSet := by
rw [← assigned_union_edges]
exact Set.disjoint_iUnion_left.mpr (fun i => hp.2.2 _ (List.mem_map.mpr ⟨_,L.get_mem i,rfl⟩)
_ (List.mem_map.mpr ⟨_,A.get_mem r,rfl⟩))
have hFG : F ≤ G := graphUnion_sublist (List.sublist_append_left _ _)
have hRG (r) : R r ≤ G := by
intro x y hxy
exact (graphUnion_adj _ _ _).mpr ⟨_,List.mem_append_right _ (List.mem_map.mpr ⟨_,A.get_mem r,rfl⟩),hxy⟩
have hcov : F.edgeSet ∪ (⋃ r, (R r).edgeSet) = G.edgeSet := by
change F.edgeSet ∪ (⋃ r : Fin A.length, (A.get r).graph.edgeSet) = _
rw [assigned_union_edges]
ext e
induction e using Sym2.ind with
| _ x y => simp only [Set.mem_union,SimpleGraph.mem_edgeSet,G,graphUnion_append,SimpleGraph.sup_adj,F]
have hB : 0 < D^(3/10:ℝ) := Real.rpow_pos_of_pos (by linarith [hready.gt_one]) _
obtain ⟨b⟩ := Indexing.materialize_batches F Y (fun i : Fin L.length => (L.get i).graph)
(fun i => (L.get i).vertices) hLL (assigned_union_edges L)
(fun i x y hxy => (L.get i).supported hxy) (fun i => hLY _ (L.get_mem i))
(by
intro v hv
obtain ⟨Q,hQ,hvQ⟩ := hcover v hv
obtain ⟨i,rfl⟩ := List.mem_iff_get.mp hQ
exact Finset.mem_biUnion.mpr ⟨i,mem_univ _,hvQ⟩)
(D^(3/10:ℝ)) hB (fun i => ((hL _ (L.get_mem i)).2.1).trans hready.batch_power)
have hsum : (∑ i : Fin L.length, ((L.get i).vertices.card:ℝ)) = vertexMass L := list_sum_get L (fun Q => (Q.vertices.card:ℝ))
have hAsum : (∑ i : Fin A.length, ((U i).card:ℝ)) = vertexMass A := list_sum_get A (fun Q => (Q.vertices.card:ℝ))
have hF : 2*(F.edgeFinset.card:ℝ) ≤ 2*Y.card*D^(1/1000:ℝ) := by
have hh := (Nat.cast_le.mpr (edgeCount_union_le (L.map AssignedPiece.graph)) : (_:ℝ) ≤ _)
have hdeg : (L.map (fun Q => 2*(edgeCount Q.graph:ℝ))).sum ≤ vertexMass L * D^(1/1000:ℝ) := by
unfold vertexMass
rw [← List.sum_map_mul_right]
apply List.sum_le_sum
intro Q hQ
have hc : (0:ℝ) < Q.vertices.card := by exact_mod_cast Finset.card_pos.mpr (hL Q hQ).1
simpa only [mul_comm] using (div_le_iff₀ hc).mp (hL Q hQ).2.2
simp only [Nat.cast_list_sum,List.map_map,Function.comp_def] at hh
rw [List.sum_map_mul_left] at hdeg
have hx := mul_le_mul_of_nonneg_right hmass (Real.rpow_nonneg (show (0:ℝ) ≤ D by linarith [hready.gt_one]) (1/1000:ℝ))
change 2*(edgeCount F:ℝ) ≤ _
linarith
have hcost := hbox D hD wmin hready V (Fin A.length) G F R U Y hFG hRG hRR hUU
(fun r => hAY _ (A.get_mem r)) (fun r x y hxy => (A.get r).supported hxy) hFR hcov
(fun r => (hA _ (A.get_mem r)).2.2)
(fun r => ⟨(hA _ (A.get_mem r)).1,(hA _ (A.get_mem r)).2.1⟩)
hY hF (∑ i : Fin L.length, ((L.get i).vertices.card:ℝ)) (by simpa only [hsum] using hmass)
b n C t hC ht hYn hsmall ih ihq
rw [hsum,hAsum] at hcost
change (decompositionCost G:ℝ) ≤ _
convert hcost using 1 <;> first | rfl | ring
end
end ErdosGallai.Scale
end
section
namespace ErdosGallai.Scale
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V]
lemma pastPieces_mem (s : SplitSystem V) (j k : ℕ) (L : List (AssignedPiece V))
{R : AssignedPiece V} (hR : R ∈ pastPieces s j k L) :
∃ l < k, R ∈ levelPieces s (j+l) (advance s j l L) := by
induction k with
| zero => simp [pastPieces] at hR
| succ k ih =>
rcases List.mem_append.mp hR with h | h
· obtain ⟨l,hl,hR⟩ := ih h
exact ⟨l,by omega,hR⟩
· exact ⟨k,by omega,h⟩
theorem uniform_committed_piece_cost : ∃ D₀ : ℝ, 1 < D₀ ∧ ∀ Dstar ≥ D₀,
∀ (V : Type) [Fintype V] [DecidableEq V] (P : AssignedPiece V) (H : Layers P Dstar),
∀ (C : ℝ), 0 ≤ C →
(∀ (Q : Type) [Fintype Q] (G : SimpleGraph Q), Fintype.card Q < P.vertices.card →
(ErdosGallai.decompositionCost G:ℝ) ≤ C*Fintype.card Q) →
∀ k ≤ H.count, ∀ R ∈ pastPieces H.system 0 k [P],
(decompositionCost R.graph:ℝ) ≤ (9+C*ErdosGallai.mainEta)*R.vertices.card := by
obtain ⟨D₀,hD₀,hpc⟩ := ErdosGallai.uniform_piece_cost_on 1 ErdosGallai.mainEta (by norm_num) ErdosGallai.mainEta_pos
refine ⟨D₀,hD₀,?_⟩
intro Dstar hD V _ _ P H C hC ih k hk R hR
obtain ⟨j,hjk,hR⟩ := pastPieces_mem H.system 0 k [P] hR
simp only [Nat.zero_add] at hR
obtain ⟨Q,hQ,B,hB,hR⟩ := (by simpa [levelPieces,List.mem_flatMap] using hR :
∃ Q ∈ H.frontier j, ∃ B ∈ (H.system j Q).boxes, R ∈ (H.system j Q).pieces B)
have hj : j < H.count := by omega
have hb := (H.bounded j hj Q hQ).2.2.2.1 B hB R hR
have hsub := ((H.system j Q).piece_subset B hB R hR).trans (H.box_subset j hQ hB)
exact hpc (H.scale j) (hD.trans (H.cutoff j hj)) P.vertices.card C hC ih V R.graph R.graph R.vertices
le_rfl (Finset.card_le_card hsub) R.supported hb.1 hb.2.1 (by
simpa only [one_mul,ErdosGallai.CutExpansionOn,CutExpansionOn,cutCount,Layers.scale] using hb.2.2)
theorem uniform_gap_prefix_cost : ∃ D₀ : ℝ, 1 < D₀ ∧ ∀ Dstar ≥ D₀,
∀ (V : Type) [Fintype V] (P : AssignedPiece V) (H : Layers P Dstar),
1 < (P.vertices.card:ℝ) →
(∀ j < H.count, ErdosGallai.MainScaleReady 80 (H.scale j)) →
∀ i, i+200 < H.count → ∀ C t : ℝ, 0 ≤ C → 0 ≤ t →
(∀ (Q : Type) [Fintype Q] (G : SimpleGraph Q), Fintype.card Q < P.vertices.card →
(ErdosGallai.decompositionCost G:ℝ) ≤ C*Fintype.card Q) →
(∀ (Q : Type) [Fintype Q] (G : SimpleGraph Q), Fintype.card Q < P.vertices.card →
(Fintype.card Q:ℝ) ≤ (H.scale i)^(3/10:ℝ) →
(Batch.decompositionCost G:ℝ) ≤ t*Fintype.card Q) →
(∀ R ∈ pastPieces H.system 0 (i+201) [P],
(decompositionCost R.graph:ℝ) ≤ (9+C*ErdosGallai.mainEta)*R.vertices.card) →
(decompositionCost P.graph:ℝ) ≤ ((pastCycles H.system 0 (i+201) [P]).length:ℝ) +
(9+C*ErdosGallai.mainEta)*vertexMass (pastPieces H.system 0 (i+201) [P]) +
(t+8)*H.mass (i+201) + (8-t/3)*H.pieceMass i +
((2/3)*t/logb 2 (H.scale i)-8)*H.mass (i+1) := by
obtain ⟨D₀,hD₀,hlocal⟩ := uniform_local_box_cost
refine ⟨D₀,hD₀,?_⟩
intro Dstar hD V _ P H hn hready i hik C t hC ht ih ihq hp
have hi : i < H.count := by omega
have hne : P.vertices.Nonempty := Finset.card_pos.mp (by exact_mod_cast (by linarith : (0:ℝ) < P.vertices.card))
have hsmall : (H.scale i)^(3/10:ℝ) < (P.vertices.card:ℝ) := by
apply lt_of_lt_of_le _ (inductionScale_le P.vertices.card hn.le i)
have hd := inductionScale_gt_one P.vertices.card hn i
simpa only [Real.rpow_one] using Real.rpow_lt_rpow_of_exponent_lt hd (by norm_num : (3/10:ℝ) < 1)
apply selected_prefix_cost H.system i 200 P (9+C*ErdosGallai.mainEta)
(t+8) (8-t/3) ((2/3)*t/logb 2 (H.scale i)-8) hp
intro Q hQ B hB
have hQne := advance_nonempty H.system 0 i [P] (by simpa using hne) Q hQ
have hBne := (H.system i Q).box_nonempty hQne B hB
have hrest : ((H.system i Q).rest B).vertices.Nonempty := by simpa only [StageSplit.rest_vertices] using hBne
exact hlocal (H.scale i) (hD.trans (H.cutoff i hi)) 80 (hready i hi) V
(advance H.system (i+1) 200 [(H.system i Q).rest B]) ((H.system i Q).pieces B) B.vertices
(box_coupled_partition _ (by simpa only [StageSplit.rest_graph _ hB] using (H.system i Q).box_partition B hB) _ _ _)
((H.system i Q).piece_disjoint B hB) ((H.system i Q).piece_subset B hB)
(advance_subset H.system (i+1) 200 [(H.system i Q).rest B] B.vertices (by simp))
(fun v hv => advance_cover H.system (i+1) 200 [(H.system i Q).rest B] ((H.system i Q).rest B) (by simp) v (by simpa only [StageSplit.rest_vertices] using hv))
(fun R hR => ⟨advance_nonempty H.system (i+1) 200 [(H.system i Q).rest B] (by simpa using hrest) R hR,
H.gap_order hn i hik hQ hB hR⟩)
((H.bounded i hi Q hQ).2.2.2.1 B hB) ((H.bounded i hi Q hQ).2.2.1 B hB)
(H.local_mass_two hn (fun j hj => (hready j hj).log_large) i 200 hik hQ hB)
P.vertices.card C t hC ht (Finset.card_le_card (H.box_subset i hQ hB)) hsmall ih ihq
end
end ErdosGallai.Scale
end
section
namespace ErdosGallai
noncomputable section
open Real
lemma main_gap_scalar (q n S M L Nt Ni C t w : ℝ)
(hn : 0 ≤ n) (hS : 0 ≤ S) (hC : 0 ≤ C) (ht : 0 ≤ t) (hw : 0 < w)
(hM : M ≤ mainP*S) (hL : L ≤ mainH*n/w)
(hNt : Nt ≤ n+mainH*n/w) (hNilo : n ≤ Ni) (hNihi : Ni ≤ 2*n)
(hq : q ≤ L+(9+C*mainEta)*M+(t+8)*Nt+(8-t/3)*S+((2/3)*t/w-8)*Ni) :
q ≤ mainA₂*(S+n/w)+(C/100)*S+t*(n-S/3+mainA₁*n/w) := by
have hη := mainEta_pos
have hc := mul_le_mul_of_nonneg_left hM (by positivity : 0 ≤ 9+C*mainEta)
have hT := mul_le_mul_of_nonneg_left hNt (by linarith : 0 ≤ t+8)
have hI := mul_le_mul_of_nonneg_left hNihi (by positivity : 0 ≤ (2/3)*t/w)
have hI' : -8*Ni ≤ -8*n := by linarith
have hA := mul_le_mul_of_nonneg_right (le_max_left (9*mainP+8) (9*mainH)) hS
have hB := mul_le_mul_of_nonneg_right (le_max_right (9*mainP+8) (9*mainH)) (div_nonneg hn hw.le)
change (9*mainP+8)*S ≤ mainA₂*S at hA
change 9*mainH*(n/w) ≤ mainA₂*(n/w) at hB
simp only [mainEta,mainP,mainA₁,div_eq_mul_inv] at hc hT hI hI' hA hB hq hL ⊢
nlinarith only [hc,hT,hI,hI',hA,hB,hq,hL]
lemma main_terminal_scalar (q n M C Dstar : ℝ) (hn : 0 ≤ n) (hC : 0 ≤ C)
(hCbig : 4*(20+Dstar+18*mainP) ≤ C) (hM : M ≤ 2*mainP*n)
(hq : q ≤ (20+Dstar)*n+(9+C*mainEta)*M) :
q ≤ C*Batch.inductionPhi n*n := by
have hη := mainEta_pos
have hc := mul_le_mul_of_nonneg_left hM (by positivity : 0 ≤ 9+C*mainEta)
have hbig := mul_le_mul_of_nonneg_right hCbig hn
have hphi := mul_le_mul_of_nonneg_left (Batch.inductionPhi_bounds n).1 (mul_nonneg hC hn)
have hCn : 0 ≤ C*n := mul_nonneg hC hn
simp only [mainEta,mainP] at hc hbig hq
nlinarith only [hq,hc,hbig,hphi,hCn]
end
end ErdosGallai
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}
lemma Layers.gap_log (H : Layers P Dstar) (hn : 1 < (P.vertices.card:ℝ)) (i) :
logb 2 (H.scale (i+200)) = scaleTheta^200 * logb 2 (H.scale i) := by
dsimp only [Layers.scale]
rw [inductionScale_add _ (by positivity)]
exact Real.logb_rpow_eq_mul_logb_of_pos (inductionScale_pos _ (by linarith) _)
lemma Layers.gap_mass (H : Layers P Dstar) (hn : 1 < (P.vertices.card:ℝ))
(hready : ∀ j < H.count, ErdosGallai.MainScaleReady 80 (H.scale j)) (i)
(hik : i+200 < H.count) :
H.mass (i+201) ≤ (P.vertices.card:ℝ) + ErdosGallai.mainH*P.vertices.card/logb 2 (H.scale i) := by
have hh := H.mass_upper hn (fun j hj => (hready j hj).log_large) (i+200) hik
rw [H.gap_log hn] at hh
convert hh using 1 ; try omega
unfold ErdosGallai.mainH
simp only [div_eq_mul_inv,mul_inv_rev]
ring
lemma Layers.gap_cycles (H : Layers P Dstar) (hn : 1 < (P.vertices.card:ℝ))
(hready : ∀ j < H.count, ErdosGallai.MainScaleReady 80 (H.scale j)) (i)
(hik : i+200 < H.count) :
((pastCycles H.system 0 (i+201) [P]).length:ℝ) ≤
ErdosGallai.mainH*P.vertices.card/logb 2 (H.scale i) := by
have hh := H.cycles_bound hn hready (i+200) hik
rw [H.gap_log hn] at hh
have hw : 0 < logb 2 (H.scale i) := inductionScale_log_pos _ hn i
calc
_ ≤ 20*P.vertices.card/(scaleTheta^200*logb 2 (H.scale i)) := hh
_ ≤ 80*P.vertices.card/(scaleTheta^200*logb 2 (H.scale i)) :=
div_le_div_of_nonneg_right (by nlinarith [(Nat.cast_nonneg P.vertices.card : (0:ℝ) ≤ _)]) (by positivity)
_ = _ := by unfold ErdosGallai.mainH; simp only [div_eq_mul_inv,mul_inv_rev]; ring
lemma Layers.boundary_cost (H : Layers P Dstar) (hn : 1 < (P.vertices.card:ℝ))
(hready : ∀ j < H.count, ErdosGallai.MainScaleReady 80 (H.scale j)) :
costMass (H.frontier H.count) ≤ Dstar*P.vertices.card := by
have hne : P.vertices.Nonempty := Finset.card_pos.mp (by exact_mod_cast (by linarith : (0:ℝ) < P.vertices.card))
have hD : 0 ≤ Dstar := by
have hh := H.last_lt
have hd := inductionScale_pos P.vertices.card (by linarith) H.count
linarith
have hcost : ∀ Q ∈ H.frontier H.count, (decompositionCost Q.graph:ℝ) ≤ (Dstar/2)*Q.vertices.card := by
intro Q hQ
have hQne := advance_nonempty H.system 0 H.count [P] (by simpa using hne) Q hQ
have hc : (0:ℝ) < Q.vertices.card := by exact_mod_cast Finset.card_pos.mpr hQne
have hg := (div_le_iff₀ hc).mp (H.degree H.count le_rfl Q hQ)
have hh := mul_le_mul_of_nonneg_right H.last_lt.le hc.le
have he := (Nat.cast_le.mpr (decompositionCost_edgeCount Q.graph) : (_:ℝ) ≤ _)
nlinarith only [hg,hh,he]
have hh := piece_list_cost (H.frontier H.count) (Dstar/2) hcost
have hm := mul_le_mul_of_nonneg_left (H.mass_two hn (fun j hj => (hready j hj).log_large) H.count le_rfl)
(div_nonneg hD (by norm_num : (0:ℝ) ≤ 2))
change costMass (H.frontier H.count) ≤ (Dstar/2)*H.mass H.count at hh
nlinarith only [hh,hm]
lemma Layers.terminal_cost (H : Layers P Dstar) (hn : 1 < (P.vertices.card:ℝ))
(hready : ∀ j < H.count, ErdosGallai.MainScaleReady 80 (H.scale j)) (c : ℝ)
(hp : ∀ R ∈ pastPieces H.system 0 H.count [P], (decompositionCost R.graph:ℝ) ≤ c*R.vertices.card) :
(decompositionCost P.graph:ℝ) ≤ (20+Dstar)*P.vertices.card + c*vertexMass (pastPieces H.system 0 H.count [P]) := by
have hcost := past_cost H.system 0 H.count P c hp
have he := H.boundary_cost hn hready
obtain ⟨j,hj⟩ := Nat.exists_eq_succ_of_ne_zero (Nat.ne_of_gt H.positive)
have hcy := H.cycles_bound hn hready j (by omega)
have hw := (hready j (by omega)).log_large
have hdiv : 20*(P.vertices.card:ℝ)/logb 2 (H.scale j) ≤ 20*P.vertices.card :=
div_le_self (by positivity) (by linarith)
rw [hj] at hcost he ⊢
nlinarith only [hcost,he,hcy,hdiv]
end
end ErdosGallai.Scale
end
end
end
end OAI