roseking's picture
Add lean source and binary files (part 41)
97c3405 verified
Raw History Blame Contribute Delete
7.7 kB
import OAI.Combinatorics.CliqueFree.Deletion
import OAI.Combinatorics.CliqueFree.CrossBound
import OAI.Combinatorics.CliqueFree.TriangleBound
namespace OAI
noncomputable section
open scoped BigOperators
open Finset
attribute [local instance] Classical.propDecidable
namespace CliqueFreeIndependence.WeightedGraph
universe u v
variable {V : Type u} [Fintype V]
lemma exists_optimizer_triangle_bound (k : ℕ) :
∃ B : ℝ, 0 < B ∧ ∀ {V : Type u} [Fintype V] (G : SimpleGraph V) (w : V → ℝ),
IsOptimizer G w → G.CliqueFree (k+2) → triangleMass G w ≤ B * edgeMass G w := by
have hC : 1 ≤ 16*((k : ℝ)+2)^2 := by nlinarith [Nat.cast_nonneg (α := ℝ) k]
obtain ⟨B,hB,hbound⟩ := weighted_triangles.{u} hC
exact ⟨B,hB,fun G w hw hf ↦ hbound G w (fun v ↦ (optimizer_stationary hw v).1)
(optimizer_cross_bound k G hw hf)⟩
lemma exists_cheap_vertex {G : SimpleGraph V} {w : V → ℝ} (hw : IsOptimizer G w)
[Nonempty V] {Δ B : ℝ} (hΔ : 3 ≤ Δ) (hB : 0 ≤ B)
(hdeg : ∀ v, (G.degree v : ℝ) ≤ Δ) (htri : triangleMass G w ≤ B * edgeMass G w) :
∃ v, mass w (closedNeighbors G v) + edgeMass G (restrict (closedNeighbors G v) w) ≤
(3+3*B/2) * Real.log Δ := by
have hwpos (v : V) : 0 < w v := (optimizer_stationary hw v).1
have hp (v : V) :
w v * (mass w (closedNeighbors G v) + edgeMass G (restrict (closedNeighbors G v) w)) ≤
w v + 2 * (w v * neighborMass G w v) + w v * triangleAt G w v / 2 := by
rw [mass_closedNeighbors,edgeMass_closedNeighbors]
have hv := (optimizer_stationary hw v).2.2
have hN := neighborMass_nonneg G hw.1 v
have hsq : w v * w v ≤ w v := by nlinarith [hw.1 v]
have hmul := mul_le_mul_of_nonneg_right hsq hN
nlinarith
have hsum := sum_le_sum (s := univ) fun v _ ↦ hp v
simp only [sum_add_distrib, ← mul_sum, ← sum_div] at hsum
have he := edgeForm_self G w
rw [edgeForm_neighbor] at he
have ht : (∑ v, w v * triangleAt G w v) / 2 = 3*triangleMass G w := by
unfold triangleMass
ring
rw [he,ht] at hsum
have hedge := optimizer_edge_bound hw hΔ hdeg
have hlog : 1 ≤ Real.log Δ := le_of_lt <| (Real.lt_log_iff_exp_lt (by linarith)).2
(Real.exp_one_lt_three.trans_le hΔ)
have hW : 0 ≤ ∑ v, w v := sum_nonneg (fun v _ ↦ hw.1 v)
have htot : (∑ v, w v * (mass w (closedNeighbors G v) +
edgeMass G (restrict (closedNeighbors G v) w))) ≤
((3+3*B/2)*Real.log Δ) * (∑ v, w v) := by
have h1 := mul_le_mul_of_nonneg_right hlog hW
have h2 := mul_le_mul_of_nonneg_left hedge (show 0 ≤ 2+3*B/2 by positivity)
nlinarith
by_contra h
push Not at h
have hlt (v : V) := mul_lt_mul_of_pos_left (h v) (hwpos v)
have hh := sum_lt_sum (s := univ) (fun v _ ↦ (hlt v).le)
⟨Classical.arbitrary V, mem_univ _, hlt _⟩
rw [← sum_mul] at hh
linarith
lemma degree_induce_le (G : SimpleGraph V) (A : Finset V) (v : (A : Set V)) :
(G.induce (A : Set V)).degree v ≤ G.degree v := by
classical
rw [← SimpleGraph.card_neighborSet_eq_degree, ← SimpleGraph.card_neighborSet_eq_degree]
exact Fintype.card_le_of_injective
(fun u : (G.induce (A : Set V)).neighborSet v ↦
(⟨u.val.val, u.property⟩ : G.neighborSet v))
(fun u z h ↦ by
apply Subtype.ext
apply Subtype.ext
exact congrArg (fun x : G.neighborSet v ↦ (x : V)) h)
omit [Fintype V] in
lemma indepSet_image_induce (G : SimpleGraph V) (A : Finset V) (I : Finset (A : Set V))
(hI : (G.induce (A : Set V)).IsIndepSet (I : Set (A : Set V))) :
G.IsIndepSet (I.map ⟨Subtype.val, Subtype.val_injective⟩ : Set V) := by
classical
intro a ha b hb hab
obtain ⟨a',ha',rfl⟩ := mem_map.1 ha
obtain ⟨b',hb',rfl⟩ := mem_map.1 hb
exact hI ha' hb' (fun h ↦ hab (congrArg Subtype.val h))
omit [Fintype V] in
lemma indepSet_insert_induce (G : SimpleGraph V) (A : Finset V) (v : V)
(hA : ∀ b ∈ A, b ≠ v ∧ ¬G.Adj v b)
(I : Finset (A : Set V))
(hI : (G.induce (A : Set V)).IsIndepSet (I : Set _)) :
G.IsIndepSet (↑(insert v (I.map ⟨Subtype.val, Subtype.val_injective⟩) : Finset V) : Set V) ∧
(insert v (I.map ⟨Subtype.val, Subtype.val_injective⟩)).card = I.card + 1 := by
classical
have hnot (b : V) (hb : b ∈ I.map ⟨Subtype.val, Subtype.val_injective⟩) :
b ≠ v ∧ ¬G.Adj v b := by
obtain ⟨b',_,rfl⟩ := mem_map.1 hb
exact hA b' b'.property
have hi := indepSet_image_induce G A I hI
constructor
· intro a ha b hb hab
change a ∈ insert v (I.map _) at ha
change b ∈ insert v (I.map _) at hb
rw [mem_insert] at ha hb
rcases ha with rfl | ha
· rcases hb with rfl | hb
· exact fun _ ↦ hab rfl
· exact (hnot b hb).2
· rcases hb with rfl | hb
· exact fun h ↦ (hnot a ha).2 h.symm
· exact hi ha hb hab
· rw [card_insert_of_notMem (fun h ↦ (hnot v h).1 rfl), card_map]
/-- The maximum-degree induction controls the original variational functional,
not a surrogate objective or a conditional independence bound. -/
lemma maximum_degree_potential_bound (k : ℕ) {B Δ : ℝ} (hB : 0 ≤ B) (hΔ : 3 ≤ Δ)
(htri : ∀ {U : Type u} [Fintype U] (H : SimpleGraph U) (w : U → ℝ),
IsOptimizer H w → H.CliqueFree (k+2) → triangleMass H w ≤ B * edgeMass H w)
(G : SimpleGraph V) (hf : G.CliqueFree (k+2)) (hdeg : ∀ v, (G.degree v : ℝ) ≤ Δ) :
∃ I : Finset V, G.IsIndepSet (I : Set V) ∧
∀ q : V → ℝ, (∀ v, 0 ≤ q v) →
potential G q ≤ ((3+3*B/2)*Real.log Δ) * (I.card : ℝ) := by
classical
have aux : ∀ n : ℕ, ∀ (U : Type u) [Fintype U], Fintype.card U = n →
∀ H : SimpleGraph U, H.CliqueFree (k+2) → (∀ v, (H.degree v : ℝ) ≤ Δ) →
∃ I : Finset U, H.IsIndepSet (I : Set U) ∧
∀ q : U → ℝ, (∀ v, 0 ≤ q v) →
potential H q ≤ ((3+3*B/2)*Real.log Δ) * (I.card : ℝ) := by
intro n
induction n using Nat.strong_induction_on with
| h n ih =>
intro U _ hn H hfree hdegree
rcases isEmpty_or_nonempty U with hU | hU
· let _ := hU
refine ⟨∅,by simp,?_⟩
intro q _
simp [potential,edgeMass,crossMass]
· let _ := hU
obtain ⟨w,hw⟩ := exists_optimizer H
obtain ⟨v,hv⟩ := exists_cheap_vertex hw hΔ hB hdegree (htri H w hw hfree)
let A : Finset U := (closedNeighbors H v)ᶜ
have hA : ∀ b ∈ A, b ≠ v ∧ ¬H.Adj v b := by
intro b hb
simpa [A] using hb
have hcard : Fintype.card (A : Set U) < n := by
rw [← hn]
exact Fintype.card_subtype_lt (x := v) (by simp [A])
have hfreeA : (H.induce (A : Set U)).CliqueFree (k+2) :=
(H.cliqueFree_induce_iff _ _).2 hfree.cliqueFreeOn
have hdegA (a : (A : Set U)) : ((H.induce (A : Set U)).degree a : ℝ) ≤ Δ :=
(Nat.cast_le.2 (degree_induce_le H A a)).trans (hdegree a)
obtain ⟨I,hI,hIp⟩ := ih _ hcard (A : Set U) rfl (H.induce (A : Set U)) hfreeA hdegA
obtain ⟨hJ,hJcard⟩ := indepSet_insert_induce H A v hA I hI
refine ⟨insert v (I.map ⟨Subtype.val,Subtype.val_injective⟩),hJ,?_⟩
intro q hq
have hres := hIp (fun a ↦ w a) (fun a ↦ hw.1 a)
rw [potential_induce] at hres
have hcost := optimizer_deletion_cost hw (closedNeighbors H v)
change potential H w - potential H (restrict A w) = _ at hcost
rw [hJcard,Nat.cast_add,Nat.cast_one]
have hmax := hw.2 q hq
nlinarith
exact aux _ V rfl G hf hdeg
end CliqueFreeIndependence.WeightedGraph
end
end OAI