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import OAI.Combinatorics.CycleDecomposition.Sampling
namespace OAI
universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7
section
namespace ErdosGallai.Sampling
open Finset MeasureTheory ProbabilityTheory Real
open scoped symmDiff
variable {V : Type cycleUniverse1} [Fintype V] [DecidableEq V]
noncomputable def cutColor (e : V × V) : ℕ :=
(Fintype.equivFin V e.1).val + (Fintype.equivFin V e.2).val
lemma cutColor_lt {V : Type cycleUniverse2} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (e : V × V) : cutColor e < 2 * Fintype.card V := by
have h₁ := (Fintype.equivFin V e.1).isLt
have h₂ := (Fintype.equivFin V e.2).isLt
dsimp [cutColor]
omega
lemma same_cutColor_blocks_disjoint (A B : Finset V) (hAB : Disjoint A B)
{e f : V × V} (he₁ : e.1 ∈ A) (he₂ : e.2 ∈ B)
(hf₁ : f.1 ∈ A) (hf₂ : f.2 ∈ B) (hc : cutColor e = cutColor f) (hef : e ≠ f) :
Disjoint ({e.1, e.2} : Finset V) {f.1, f.2} := by
have h₁ : e.1 ≠ f.1 := by
intro h
have ht : e.2 = f.2 := (Fintype.equivFin V).injective (Fin.ext (by
dsimp [cutColor] at hc
rw [h] at hc
omega))
exact hef (Prod.ext h ht)
have h₂ : e.2 ≠ f.2 := by
intro h
have ht : e.1 = f.1 := (Fintype.equivFin V).injective (Fin.ext (by
dsimp [cutColor] at hc
rw [h] at hc
omega))
exact hef (Prod.ext ht h)
have h₃ : e.1 ≠ f.2 := fun h => Finset.disjoint_left.mp hAB he₁ (h ▸ hf₂)
have h₄ : e.2 ≠ f.1 := fun h => Finset.disjoint_left.mp hAB hf₁ (h ▸ he₂)
simp [Finset.disjoint_left, h₁, h₂, h₃, h₄]
lemma blockIndicator_sum_card (E : Finset (V × V)) (ω : V → Bool) :
(∑ e ∈ E, blockIndicator ({e.1, e.2} : Finset V) ω) =
((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) := by
classical
simp only [blockIndicator, Set.indicator_apply, Set.mem_ofPred_eq,
Finset.insert_subset_iff, Finset.singleton_subset_iff]
exact Finset.sum_boole _ _
lemma sampled_matching_lower_tail (p : unitInterval) (A B : Finset V) (hAB : Disjoint A B)
(E : Finset (V × V)) (hE : ∀ e ∈ E, e.1 ∈ A ∧ e.2 ∈ B)
(c : ℕ) (hc : ∀ e ∈ E, cutColor e = c) :
(sampleMeasure V p).real {ω |
((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) ≤
(p : ℝ) ^ 2 * E.card / 2} ≤ exp (-(p : ℝ) ^ 2 * E.card / 8) := by
classical
let S : E → Finset V := fun e => {e.val.1, e.val.2}
have hS : Pairwise fun e f : E => Disjoint (S e) (S f) := by
intro e f hef
exact same_cutColor_blocks_disjoint A B hAB (hE e e.property).1 (hE e e.property).2
(hE f f.property).1 (hE f f.property).2 ((hc e e.property).trans (hc f f.property).symm)
(fun h => hef (Subtype.ext h))
have hd : ∀ e : E, (S e).card = 2 := by
intro e
apply Finset.card_pair
intro h
exact Finset.disjoint_left.mp hAB (hE e e.property).1 (h ▸ (hE e e.property).2)
have ht := sample_blocks_lower_tail p S hS 2 hd Finset.univ
have heq (ω : V → Bool) : (∑ e : E, blockIndicator (S e) ω) =
(∑ e ∈ E, blockIndicator ({e.1, e.2} : Finset V) ω) := by
exact Finset.sum_attach E (fun e => blockIndicator ({e.1, e.2} : Finset V) ω)
simp_rw [heq, blockIndicator_sum_card] at ht
simpa using ht
lemma sum_cutColor_class_card (E : Finset (V × V)) :
(∑ i ∈ Finset.range (2 * Fintype.card V), (E.filter (fun e => cutColor e = i)).card) =
E.card := by
rw [Finset.sum_card_fiberwise_eq_card_filter]
congr 1
apply Finset.filter_true_of_mem
intro e _
exact Finset.mem_range.mpr (cutColor_lt e)
theorem sampled_bipartite_cut_lower_tail (p : unitInterval)
(hr : 0 < Fintype.card V) (A B : Finset V) (hAB : Disjoint A B)
(E : Finset (V × V)) (hE : ∀ e ∈ E, e.1 ∈ A ∧ e.2 ∈ B) :
(sampleMeasure V p).real {ω |
((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) <
(p : ℝ) ^ 2 * E.card / 4} ≤
2 * (Fintype.card V : ℝ) * exp (-(p : ℝ) ^ 2 * E.card / (32 * Fintype.card V)) := by
classical
let r : ℝ := Fintype.card V
have hrR : 0 < r := by
change 0 < (Fintype.card V : ℝ)
exact_mod_cast hr
let colors := Finset.range (2 * Fintype.card V)
let C (i : ℕ) := E.filter (fun e => cutColor e = i)
let m (i : ℕ) : ℝ := (C i).card
let L := colors.filter (fun i => (E.card : ℝ) / (4 * r) ≤ m i)
let retained (i : ℕ) (ω : V → Bool) : ℝ :=
((C i |>.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ)
have hsum : ∑ i ∈ colors, m i = (E.card : ℝ) := by
dsimp [colors, m, C]
exact_mod_cast sum_cutColor_class_card E
have hretain (ω : V → Bool) : ∑ i ∈ colors, retained i ω =
((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) := by
have ht := sum_cutColor_class_card
(E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω))
simpa only [retained, C, colors, Finset.filter_filter, and_comm, Nat.cast_sum] using
(show (∑ i ∈ Finset.range (2 * Fintype.card V),
(((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).filter
(fun e => cutColor e = i)).card : ℝ)) = _ by exact_mod_cast ht)
have hlarge : (E.card : ℝ) / 2 ≤ ∑ i ∈ L, m i := by
have hb : ∑ i ∈ colors, m i ≤
∑ i ∈ colors, ((if i ∈ L then m i else 0) + (E.card : ℝ) / (4 * r)) := by
apply Finset.sum_le_sum
intro i hi
by_cases hiL : i ∈ L
· simp only [hiL, ↓reduceIte]
have : 0 ≤ (E.card : ℝ) / (4 * r) := by positivity
linarith
· have hiM : m i < (E.card : ℝ) / (4 * r) := by
simpa only [L, Finset.mem_filter, hi, true_and, not_le] using hiL
simp only [hiL, ↓reduceIte, zero_add]
exact hiM.le
rw [hsum, Finset.sum_add_distrib, Finset.sum_ite_mem] at hb
have hsub : colors ∩ L = L := Finset.inter_eq_right.mpr (Finset.filter_subset _ _)
rw [hsub] at hb
have hconst : ∑ _i ∈ colors, (E.card : ℝ) / (4 * r) = (E.card : ℝ) / 2 := by
simp only [Finset.sum_const, nsmul_eq_mul, colors, Finset.card_range, Nat.cast_mul,
Nat.cast_ofNat]
dsimp [r] at *
field_simp
; ring
rw [hconst] at hb
linarith
let Bad (i : ℕ) : Set (V → Bool) :=
{ω | retained i ω ≤ (p : ℝ) ^ 2 * m i / 2}
have hcover : {ω |
((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) <
(p : ℝ) ^ 2 * E.card / 4} ⊆ ⋃ i ∈ L, Bad i := by
intro ω hfail
by_contra hnot
have hiok : ∀ i ∈ L, (p : ℝ) ^ 2 * m i / 2 ≤ retained i ω := by
intro i hi
have hn : ω ∉ Bad i := fun h => hnot (Set.mem_iUnion.mpr ⟨i,
Set.mem_iUnion.mpr ⟨hi, h⟩⟩)
exact (lt_of_not_ge hn).le
have hs₁ : (p : ℝ) ^ 2 / 2 * (∑ i ∈ L, m i) ≤ ∑ i ∈ L, retained i ω := by
rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro i hi
calc
_ = (p : ℝ) ^ 2 * m i / 2 := by ring
_ ≤ retained i ω := hiok i hi
have hs₂ : (∑ i ∈ L, retained i ω) ≤ ∑ i ∈ colors, retained i ω :=
Finset.sum_le_sum_of_subset_of_nonneg (Finset.filter_subset _ _)
(fun i _ _ => Nat.cast_nonneg _)
rw [hretain] at hs₂
have hs₃ := mul_le_mul_of_nonneg_left hlarge (by positivity : 0 ≤ (p : ℝ) ^ 2 / 2)
change ((E.filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω)).card : ℝ) <
(p : ℝ) ^ 2 * E.card / 4 at hfail
nlinarith
have hbad (i : ℕ) (hi : i ∈ L) : (sampleMeasure V p).real (Bad i) ≤
exp (-(p : ℝ) ^ 2 * E.card / (32 * r)) := by
have ht := sampled_matching_lower_tail p A B hAB (C i)
(fun e he => hE e (Finset.mem_filter.mp he).1) i
(fun e he => (Finset.mem_filter.mp he).2)
have hm : (E.card : ℝ) / (4 * r) ≤ m i := (Finset.mem_filter.mp hi).2
have he : -(p : ℝ) ^ 2 * m i / 8 ≤ -(p : ℝ) ^ 2 * E.card / (32 * r) := by
have ht := mul_le_mul_of_nonpos_left hm (neg_nonpos.mpr (sq_nonneg (p : ℝ)))
calc
_ ≤ (-(p : ℝ) ^ 2 * ((E.card : ℝ) / (4 * r))) / 8 := by linarith
_ = _ := by ring
exact ht.trans (exp_le_exp.mpr he)
calc
_ ≤ (sampleMeasure V p).real (⋃ i ∈ L, Bad i) := measureReal_mono hcover (measure_ne_top _ _)
_ ≤ ∑ i ∈ L, (sampleMeasure V p).real (Bad i) := measureReal_biUnion_finset_le L Bad
_ ≤ ∑ i ∈ L, exp (-(p : ℝ) ^ 2 * E.card / (32 * r)) := Finset.sum_le_sum hbad
_ = (L.card : ℝ) * exp (-(p : ℝ) ^ 2 * E.card / (32 * r)) := by simp
_ ≤ 2 * r * exp (-(p : ℝ) ^ 2 * E.card / (32 * r)) := by
apply mul_le_mul_of_nonneg_right _ (exp_pos _).le
have ht := Finset.card_le_card (Finset.filter_subset (fun i => (E.card : ℝ) / (4 * r) ≤ m i) colors)
have ht' : L.card ≤ 2 * Fintype.card V := by
simpa only [colors, Finset.card_range] using ht
change (L.card : ℝ) ≤ 2 * (Fintype.card V : ℝ)
exact_mod_cast ht'
def neighborsIn (P : SimpleGraph V) [DecidableRel P.Adj] (v : V) (A : Finset V) :=
A.filter (P.Adj v)
lemma card_interedges_eq_sum_neighborsIn {V : Type cycleUniverse3} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : SimpleGraph V) [DecidableRel P.Adj]
(A B : Finset V) : (P.interedges A B).card = ∑ v ∈ A, (neighborsIn P v B).card := by
simp only [SimpleGraph.interedges, Rel.interedges, neighborsIn, Finset.card_filter]
rw [Finset.sum_product]
lemma neighborsIn_partition_card {V : Type cycleUniverse4} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : SimpleGraph V) [DecidableRel P.Adj]
(v : V) (A W : Finset V) (hAW : A ⊆ W) :
(neighborsIn P v W).card = (neighborsIn P v A).card + (neighborsIn P v (W \ A)).card := by
have hu : neighborsIn P v W = neighborsIn P v A ∪ neighborsIn P v (W \ A) := by
ext x; simp only [neighborsIn, Finset.mem_union, Finset.mem_filter, Finset.mem_sdiff]
constructor
· intro ⟨hx, ha⟩
by_cases hxA : x ∈ A
· exact Or.inl ⟨hxA, ha⟩
· exact Or.inr ⟨⟨hx, hxA⟩, ha⟩
· rintro (⟨hx, ha⟩ | ⟨⟨hx, _⟩, ha⟩)
· exact ⟨hAW hx, ha⟩
· exact ⟨hx, ha⟩
rw [hu, Finset.card_union_of_disjoint]
apply Finset.disjoint_left.mpr
intro x hx hy
exact (Finset.mem_sdiff.mp (Finset.mem_filter.mp hy).1).2 (Finset.mem_filter.mp hx).1
lemma interedges_sym2_injective {V : Type cycleUniverse5} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : SimpleGraph V) [DecidableRel P.Adj]
(A B : Finset V) (hAB : Disjoint A B) :
Set.InjOn (fun e : V × V => s(e.1, e.2)) (P.interedges A B : Set (V × V)) := by
intro e he f hf hef
rcases Sym2.mk_eq_mk_iff.mp hef with h | h
· exact h
· exact False.elim <| Finset.disjoint_left.mp hAB (P.mem_interedges_iff.mp he).1
((congrArg Prod.fst h).symm ▸ (P.mem_interedges_iff.mp hf).2.1)
lemma cut_perturbation_card (P : SimpleGraph V) [DecidableRel P.Adj]
(W A T : Finset V) (_hAW : A ⊆ W) (_hTW : T ⊆ W) :
(P.interedges T (W \ T)).card ≤ (P.interedges A (W \ A)).card +
Fintype.card V * (A ∆ T).card := by
classical
let f := fun e : V × V => s(e.1, e.2)
let E := (P.interedges A (W \ A)).image f
let D := (((A ∆ T) ×ˢ (Finset.univ : Finset V)).image f)
have hinj := interedges_sym2_injective P T (W \ T) (Finset.disjoint_left.mpr (by
intro x hx hy
exact (Finset.mem_sdiff.mp hy).2 hx))
have hsub : (P.interedges T (W \ T)).image f ⊆ E ∪ D := by
intro e he
obtain ⟨⟨x,y⟩, hxy, rfl⟩ := Finset.mem_image.mp he
rcases P.mem_interedges_iff.mp hxy with ⟨hxT, hyWT, hxy⟩
obtain ⟨hyW, hyT⟩ := Finset.mem_sdiff.mp hyWT
by_cases hxA : x ∈ A
· by_cases hyA : y ∈ A
· apply Finset.mem_union_right
apply Finset.mem_image.mpr
refine ⟨(y,x), Finset.mem_product.mpr ⟨?_, Finset.mem_univ _⟩, ?_⟩
· exact Finset.mem_symmDiff.mpr (Or.inl ⟨hyA, hyT⟩)
· exact Sym2.eq_swap
· apply Finset.mem_union_left
exact Finset.mem_image.mpr ⟨(x,y), P.mem_interedges_iff.mpr
⟨hxA, Finset.mem_sdiff.mpr ⟨hyW, hyA⟩, hxy⟩, rfl⟩
· apply Finset.mem_union_right
exact Finset.mem_image.mpr ⟨(x,y), Finset.mem_product.mpr
⟨Finset.mem_symmDiff.mpr (Or.inr ⟨hxT, hxA⟩), Finset.mem_univ _⟩, rfl⟩
calc
_ = ((P.interedges T (W \ T)).image f).card := (Finset.card_image_of_injOn hinj).symm
_ ≤ (E ∪ D).card := Finset.card_le_card hsub
_ ≤ E.card + D.card := Finset.card_union_le _ _
_ ≤ (P.interedges A (W \ A)).card + (((A ∆ T) ×ˢ (Finset.univ : Finset V))).card :=
Nat.add_le_add (Finset.card_image_le) Finset.card_image_le
_ = _ := by simp [mul_comm]
lemma card_le_add_symmDiff {V : Type cycleUniverse6} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (A T : Finset V) : A.card ≤ T.card + (A ∆ T).card := by
have hs : A ⊆ T ∪ (A ∆ T) := by
intro x hx
by_cases hxT : x ∈ T
· exact Finset.mem_union_left _ hxT
· exact Finset.mem_union_right _ (Finset.mem_symmDiff.mpr (Or.inl ⟨hx,hxT⟩))
exact (Finset.card_le_card hs).trans (Finset.card_union_le _ _)
lemma sdiff_card_le_add_symmDiff {V : Type cycleUniverse7} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (W A T : Finset V) :
(W \ A).card ≤ (W \ T).card + (A ∆ T).card := by
have hs : W \ A ⊆ (W \ T) ∪ (A ∆ T) := by
intro x hx
obtain ⟨hxW,hxA⟩ := Finset.mem_sdiff.mp hx
by_cases hxT : x ∈ T
· exact Finset.mem_union_right _ (Finset.mem_symmDiff.mpr (Or.inr ⟨hxT,hxA⟩))
· exact Finset.mem_union_left _ (Finset.mem_sdiff.mpr ⟨hxW,hxT⟩)
exact (Finset.card_le_card hs).trans (Finset.card_union_le _ _)
lemma cut_card_lower_of_neighbors (P : SimpleGraph V) [DecidableRel P.Adj]
(A B Q : Finset V) (hQA : Q ⊆ A) (c : ℝ)
(hc : ∀ v ∈ Q, c ≤ (neighborsIn P v B).card) :
c * Q.card ≤ ((P.interedges A B).card : ℝ) := by
rw [card_interedges_eq_sum_neighborsIn, Nat.cast_sum]
calc
_ = ∑ v ∈ Q, c := by simp [mul_comm]
_ ≤ ∑ v ∈ Q, ((neighborsIn P v B).card : ℝ) := Finset.sum_le_sum hc
_ ≤ ∑ v ∈ A, ((neighborsIn P v B).card : ℝ) :=
Finset.sum_le_sum_of_subset_of_nonneg hQA (fun _ _ _ => Nat.cast_nonneg _)
lemma bad_sampled_cut_size_and_exceptional (P : SimpleGraph V) [DecidableRel P.Adj]
(W A : Finset V) (hAW : A ⊆ W) (_ha : 0 < (A.card : ℝ))
{p h τ : ℝ} (hp : 0 < p) (hh : 0 < h) (hτ : τ < p*h/4)
(hdeg : ∀ v, p*h/2 ≤ ((neighborsIn P v W).card : ℝ))
(hbad : ((P.interedges A (W \ A)).card : ℝ) < τ * A.card) :
p*h/4 < (A.card : ℝ) ∧
((A \ A.filter (fun v => p*h/4 ≤ ((neighborsIn P v A).card : ℝ))).card : ℝ) ≤
4*τ*A.card/(p*h) := by
have hpart (v : V) : ((neighborsIn P v W).card : ℝ) =
((neighborsIn P v A).card : ℝ) + ((neighborsIn P v (W \ A)).card : ℝ) := by
exact_mod_cast neighborsIn_partition_card P v A W hAW
constructor
· by_contra hn
have ha' : (A.card : ℝ) ≤ p*h/4 := le_of_not_gt hn
have hlo : p*h/4 * A.card ≤ ((P.interedges A (W \ A)).card : ℝ) := by
apply cut_card_lower_of_neighbors P A (W \ A) A (Finset.Subset.refl _) (p*h/4)
intro v _
have hc : ((neighborsIn P v A).card : ℝ) ≤ A.card := by
exact_mod_cast Finset.card_le_card (Finset.filter_subset (P.Adj v) A)
have hd := hdeg v
have he := hpart v
linarith
nlinarith
· let Q := A \ A.filter (fun v => p*h/4 ≤ ((neighborsIn P v A).card : ℝ))
have hl : p*h/4 * Q.card ≤ ((P.interedges A (W \ A)).card : ℝ) := by
apply cut_card_lower_of_neighbors P A (W \ A) Q Finset.sdiff_subset (p*h/4)
intro v hv
obtain ⟨hvA,hvG⟩ := Finset.mem_sdiff.mp hv
have hn : ((neighborsIn P v A).card : ℝ) < p*h/4 := by
simpa only [Finset.mem_filter, hvA, true_and, not_le] using hvG
have hd := hdeg v
have he := hpart v
linarith
change (Q.card : ℝ) ≤ _
apply (le_div_iff₀ (mul_pos hp hh)).mpr
nlinarith
def neighborhoodUnion (P : SimpleGraph V) [DecidableRel P.Adj] (S : Finset V) : Finset V :=
S.biUnion (fun v => neighborsIn P v Finset.univ)
lemma neighborhoodUnion_leakage (P : SimpleGraph V) [DecidableRel P.Adj]
(S W A : Finset V) :
(((neighborhoodUnion P S ∩ W) \ A).card : ℝ) ≤
∑ v ∈ S, ((neighborsIn P v (W \ A)).card : ℝ) := by
have heq : (neighborhoodUnion P S ∩ W) \ A =
S.biUnion (fun v => neighborsIn P v (W \ A)) := by
ext x
simp only [neighborhoodUnion, neighborsIn, Finset.mem_sdiff, Finset.mem_inter,
Finset.mem_biUnion, Finset.mem_filter, Finset.mem_univ, true_and]
aesop
rw [heq]
exact_mod_cast Finset.card_biUnion_le
lemma hitting_neighborhoodUnion (P : SimpleGraph V) [DecidableRel P.Adj]
(good S A : Finset V) (hhit : ∀ v ∈ good, ¬Disjoint (neighborsIn P v A) S) :
good ⊆ neighborhoodUnion P S := by
intro v hv
obtain ⟨x,hxK,hxS⟩ := Finset.not_disjoint_iff.mp (hhit v hv)
apply Finset.mem_biUnion.mpr
refine ⟨x,hxS,?_⟩
exact Finset.mem_filter.mpr ⟨Finset.mem_univ _, P.adj_symm (Finset.mem_filter.mp hxK).2⟩
theorem exists_approximating_witness (P : SimpleGraph V) [DecidableRel P.Adj]
(W A : Finset V) (hAW : A ⊆ W) (ha : 0 < (A.card : ℝ))
{p h τ M : ℝ} (hp : 0 < p) (hh : 0 < h) (hτ0 : 0 < τ)
(hτ : τ < p*h/4) (hM : 0 < M) (hMh : M ≤ h)
(hmiss : (Fintype.card V : ℝ) * exp (-p*M/4) < 1/2)
(hdeg : ∀ v, p*h/2 ≤ ((neighborsIn P v W).card : ℝ))
(hbad : ((P.interedges A (W \ A)).card : ℝ) < τ * A.card) :
p*h/4 < (A.card : ℝ) ∧ ∃ S : Finset V, S ⊆ A ∧
(S.card : ℝ) ≤ 4 * A.card * M / h ∧
((A ∆ (neighborhoodUnion P S ∩ W)).card : ℝ) ≤
(4*τ/(p*h) + 4*τ*M/h) * A.card := by
classical
obtain ⟨hlarge, hexc⟩ := bad_sampled_cut_size_and_exceptional P W A hAW ha hp hh hτ hdeg hbad
refine ⟨hlarge, ?_⟩
let good := A.filter (fun v => p*h/4 ≤ ((neighborsIn P v A).card : ℝ))
let w : V → ℝ := fun v => ((neighborsIn P v (W \ A)).card : ℝ)
let q : unitInterval := ⟨M/h, div_nonneg hM.le hh.le, (div_le_one hh).mpr hMh⟩
have hq : 0 < (q : ℝ) := div_pos hM hh
have hm : (good.card : ℝ) * exp (-(q : ℝ) * (p*h/4)) < 1/2 := by
have heq : -(q : ℝ) * (p*h/4) = -p*M/4 := by
dsimp [q]
field_simp [hh.ne']
rw [heq]
have hg : (good.card : ℝ) ≤ Fintype.card V := by exact_mod_cast Finset.card_le_univ good
exact (mul_le_mul_of_nonneg_right hg (exp_pos _).le).trans_lt hmiss
have hsum : ∑ v ∈ A, w v ≤ τ * A.card := by
dsimp [w]
rw [← Nat.cast_sum, ← card_interedges_eq_sum_neighborsIn]
exact hbad.le
obtain ⟨S,hSA,hSc,hSw,hSh⟩ := exists_small_weighted_hitting_set A
(Finset.card_pos.mp (by exact_mod_cast ha)) good (fun v => neighborsIn P v A)
(fun v _ => Finset.filter_subset _ _) w (fun _ _ => Nat.cast_nonneg _)
(mul_pos hτ0 ha) hsum
(fun v hv => (Finset.mem_filter.mp hv).2) q hq hm
refine ⟨S,hSA,?_,?_⟩
· convert hSc using 1 ; dsimp [q] ; ring
· let T := neighborhoodUnion P S ∩ W
have hgood : good ⊆ neighborhoodUnion P S := hitting_neighborhoodUnion P good S A hSh
have hsub : A ∆ T ⊆ (A \ good) ∪ (T \ A) := by
intro v hv
rcases Finset.mem_symmDiff.mp hv with ⟨hvA,hvT⟩ | ⟨hvT,hvA⟩
· apply Finset.mem_union_left
apply Finset.mem_sdiff.mpr
refine ⟨hvA,?_⟩
intro hvG
exact hvT (Finset.mem_inter.mpr ⟨hgood hvG, hAW hvA⟩)
· exact Finset.mem_union_right _ (Finset.mem_sdiff.mpr ⟨hvT,hvA⟩)
have hδ : ((A ∆ T).card : ℝ) ≤ ((A \ good).card : ℝ) + ((T \ A).card : ℝ) := by
exact_mod_cast (Finset.card_le_card hsub).trans (Finset.card_union_le _ _)
have hleak : ((T \ A).card : ℝ) ≤ 4*(q : ℝ)*(τ*A.card) :=
(neighborhoodUnion_leakage P S W A).trans hSw
change ((A ∆ T).card : ℝ) ≤ _
change ((A \ good).card : ℝ) ≤ _ at hexc
calc
_ ≤ 4*τ*A.card/(p*h) + 4*(q : ℝ)*(τ*A.card) := add_le_add hexc hleak |>.trans' hδ
_ = _ := by dsimp [q]; ring
def CutExpansion (P : SimpleGraph V) [DecidableRel P.Adj] (h : ℝ) : Prop :=
∀ U : Finset V, h * min (U.card : ℝ) (Uᶜ.card : ℝ) ≤
((P.interedges U Uᶜ).card : ℝ)
def CutExpansionOn (P : SimpleGraph V) [DecidableRel P.Adj] (W : Finset V) (h : ℝ) : Prop :=
∀ A : Finset V, A ⊆ W → h * min (A.card : ℝ) ((W \ A).card : ℝ) ≤
((P.interedges A (W \ A)).card : ℝ)
theorem cutExpansionOn_of_witnesses (P : SimpleGraph V) [DecidableRel P.Adj]
(W : Finset V) {p h τ M : ℝ} (hp : 0 < p) (hh : 0 < h) (hτ0 : 0 < τ)
(hτ : τ < p*h/4) (hM : 0 < M) (hMh : M ≤ h)
(hmiss : (Fintype.card V : ℝ) * exp (-p*M/4) < 1/2)
(hε : 4*τ/(p*h) + 4*τ*M/h ≤ 1/2)
(hperturb : τ + Fintype.card V * (4*τ/(p*h) + 4*τ*M/h) ≤ p^2*h/8)
(hexp : CutExpansion P h)
(hdeg : ∀ v, p*h/2 ≤ ((neighborsIn P v W).card : ℝ))
(hwitness : ∀ S : Finset V, (S.card : ℝ) ≤ 4*Fintype.card V*M/h →
let U := neighborhoodUnion P S
p*h/8 ≤ min (U.card : ℝ) (Uᶜ.card : ℝ) →
(p^2/4) * ((P.interedges U Uᶜ).card : ℝ) ≤
((P.interedges (U ∩ W) (W \ (U ∩ W))).card : ℝ)) :
CutExpansionOn P W τ := by
classical
have hsmall (A : Finset V) (hAW : A ⊆ W)
(hsize : (A.card : ℝ) ≤ (W \ A).card) :
τ * A.card ≤ ((P.interedges A (W \ A)).card : ℝ) := by
by_contra hn
have hbad := lt_of_not_ge hn
have ha : 0 < (A.card : ℝ) := by
by_contra hn
have hz : (A.card : ℝ) = 0 := (le_of_not_gt hn).antisymm (Nat.cast_nonneg _)
rw [hz, mul_zero] at hbad
exact (Nat.cast_nonneg _).not_gt hbad
obtain ⟨hlarge,S,hSA,hSc,hδ⟩ := exists_approximating_witness P W A hAW ha
hp hh hτ0 hτ hM hMh hmiss hdeg hbad
let U := neighborhoodUnion P S
let T := U ∩ W
let δ : ℝ := (A ∆ T).card
have hδ' : δ ≤ (A.card : ℝ)/2 := by
have ht := mul_le_mul_of_nonneg_right hε ha.le
dsimp [δ,T,U]
linarith
have hmin : (A.card : ℝ)/2 ≤ min (U.card : ℝ) (Uᶜ.card : ℝ) := by
apply le_min
· have ht : (A.card : ℝ) ≤ (T.card : ℝ) + δ := by
dsimp [δ]
exact_mod_cast card_le_add_symmDiff A T
have hTU : (T.card : ℝ) ≤ U.card := by
exact_mod_cast Finset.card_le_card (Finset.inter_subset_left : T ⊆ U)
linarith
· have ht : ((W \ A).card : ℝ) ≤ ((W \ T).card : ℝ) + δ := by
dsimp [δ]
exact_mod_cast sdiff_card_le_add_symmDiff W A T
have hs : W \ T ⊆ Uᶜ := by
intro v hv
obtain ⟨hvW,hvT⟩ := Finset.mem_sdiff.mp hv
apply Finset.mem_compl.mpr
intro hvU
exact hvT (Finset.mem_inter.mpr ⟨hvU,hvW⟩)
have hh' : ((W \ T).card : ℝ) ≤ Uᶜ.card := by exact_mod_cast Finset.card_le_card hs
linarith
have hsbound : (S.card : ℝ) ≤ 4*Fintype.card V*M/h := by
apply hSc.trans
have hac : (A.card : ℝ) ≤ Fintype.card V := by exact_mod_cast Finset.card_le_univ A
gcongr
have hw := hwitness S hsbound (by dsimp [U] at hmin; linarith)
have he := hexp U
have hlo : p^2*h*A.card/8 ≤ ((P.interedges T (W \ T)).card : ℝ) := by
have hm := mul_le_mul_of_nonneg_left hmin hh.le
have ht := mul_le_mul_of_nonneg_left (hm.trans he) (by positivity : 0 ≤ p^2/4)
change p^2/4 * ((P.interedges U Uᶜ).card : ℝ) ≤ _ at hw
nlinarith
have hupper : ((P.interedges T (W \ T)).card : ℝ) ≤
((P.interedges A (W \ A)).card : ℝ) + Fintype.card V * δ := by
dsimp [δ]
exact_mod_cast cut_perturbation_card P W A T hAW Finset.inter_subset_right
have hd := mul_le_mul_of_nonneg_left hδ (by positivity : 0 ≤ (Fintype.card V : ℝ))
have hp' := mul_le_mul_of_nonneg_right hperturb ha.le
change (Fintype.card V : ℝ) * δ ≤ _ at hd
nlinarith
intro A hAW
by_cases hs : (A.card : ℝ) ≤ (W \ A).card
· rw [min_eq_left hs]
exact hsmall A hAW hs
· have hs' : ((W \ A).card : ℝ) ≤ A.card := (lt_of_not_ge hs).le
rw [min_eq_right hs']
have heq : W \ (W \ A) = A := Finset.sdiff_sdiff_eq_self hAW
have ht := hsmall (W \ A) Finset.sdiff_subset (by simpa only [heq] using hs')
rw [heq] at ht
let : Std.Symm P.Adj := P.symm
have hcomm : (P.interedges (W \ A) A).card = (P.interedges A (W \ A)).card :=
Rel.card_interedges_comm (W \ A) A
rwa [hcomm] at ht
lemma cutExpansion_minDegree (P : SimpleGraph V) [DecidableRel P.Adj]
{h : ℝ} (hexp : CutExpansion P h) (hr : 2 ≤ Fintype.card V) (v : V) :
h ≤ ((neighborsIn P v Finset.univ).card : ℝ) := by
have ht := hexp {v}
have hc : (1 : ℝ) ≤ ((({v} : Finset V)ᶜ).card : ℝ) := by
have : 1 ≤ (({v} : Finset V)ᶜ).card := by
rw [Finset.card_compl, Finset.card_singleton]
omega
exact_mod_cast this
simp only [Finset.card_singleton, Nat.cast_one, min_eq_left hc, mul_one] at ht
rw [card_interedges_eq_sum_neighborsIn, Finset.sum_singleton] at ht
have heq : neighborsIn P v ({v} : Finset V)ᶜ = neighborsIn P v Finset.univ := by
ext x
simp only [neighborsIn, Finset.mem_filter, Finset.mem_compl, Finset.mem_singleton,
Finset.mem_univ, true_and]
exact ⟨fun h => h.2, fun h => ⟨fun he => P.irrefl (he ▸ h), h⟩⟩
rwa [heq] at ht
lemma sample_neighbors_lower_tail (P : SimpleGraph V) [DecidableRel P.Adj]
(p : unitInterval) {h : ℝ} (hdeg : ∀ v, h ≤ ((neighborsIn P v Finset.univ).card : ℝ))
(v : V) :
(sampleMeasure V p).real {ω | ((neighborsIn P v (sampleVertices ω)).card : ℝ) < (p : ℝ)*h/2} ≤
exp (-(p : ℝ)*h/8) := by
have heq (ω : V → Bool) : neighborsIn P v (sampleVertices ω) =
neighborsIn P v Finset.univ ∩ sampleVertices ω := by
ext x; simp [neighborsIn, and_comm]
simp_rw [heq]
have hs : {ω | (((neighborsIn P v Finset.univ) ∩ sampleVertices ω).card : ℝ) < (p : ℝ)*h/2} ⊆
{ω | (((neighborsIn P v Finset.univ) ∩ sampleVertices ω).card : ℝ) ≤
(p : ℝ)*(neighborsIn P v Finset.univ).card/2} := by
intro ω hω
change (((neighborsIn P v Finset.univ) ∩ sampleVertices ω).card : ℝ) < (p : ℝ)*h/2 at hω
exact hω.le.trans (div_le_div_of_nonneg_right
(mul_le_mul_of_nonneg_left (hdeg v) p.property.1) (by norm_num))
have he : -(p : ℝ)*(neighborsIn P v Finset.univ).card/8 ≤ -(p : ℝ)*h/8 := by
have ht := mul_le_mul_of_nonneg_left (hdeg v) p.property.1
linarith
exact (measureReal_mono hs (measure_ne_top _ _)).trans
((sample_card_lower_tail p _).trans (exp_le_exp.mpr he))
lemma card_small_subsets_le (s : ℕ) (hr : 0 < Fintype.card V) :
(((Finset.univ : Finset V).powerset).filter (fun S => S.card ≤ s)).card ≤
(s+1) * Fintype.card V ^ s := by
classical
have heq : (((Finset.univ : Finset V).powerset).filter (fun S => S.card ≤ s)) =
(Finset.range (s+1)).biUnion (fun t => (Finset.univ : Finset V).powersetCard t) := by
ext S
simp only [Finset.mem_filter, Finset.mem_powerset, Finset.subset_univ, true_and,
Finset.mem_biUnion, Finset.mem_range, Finset.mem_powersetCard]
exact ⟨fun h => ⟨S.card, by omega, rfl⟩,
fun ⟨t,ht,he⟩ => by omega⟩
rw [heq]
calc
_ ≤ ∑ t ∈ Finset.range (s+1), ((Finset.univ : Finset V).powersetCard t).card :=
Finset.card_biUnion_le
_ ≤ ∑ t ∈ Finset.range (s+1), Fintype.card V ^ s := by
apply Finset.sum_le_sum
intro t ht
rw [Finset.card_powersetCard, Finset.card_univ]
exact (Nat.choose_le_pow _ _).trans (Nat.pow_le_pow_right hr (by simpa using ht))
_ = _ := by simp [mul_comm]
def witnessFamily (P : SimpleGraph V) [DecidableRel P.Adj] (s : ℕ) : Finset (Finset V) :=
((((Finset.univ : Finset V).powerset).filter (fun S => S.card ≤ s))).image (neighborhoodUnion P)
lemma card_witnessFamily_le (P : SimpleGraph V) [DecidableRel P.Adj]
(s : ℕ) (hr : 0 < Fintype.card V) :
(witnessFamily P s).card ≤ (s+1) * Fintype.card V ^ s :=
Finset.card_image_le.trans (card_small_subsets_le s hr)
lemma sampled_witness_cut_lower_tail (P : SimpleGraph V) [DecidableRel P.Adj]
(p : unitInterval) {h : ℝ} (hh : 0 ≤ h) (hexp : CutExpansion P h)
(hr : 0 < Fintype.card V) (U : Finset V)
(hU : (p : ℝ)*h/8 ≤ min (U.card : ℝ) (Uᶜ.card : ℝ)) :
(sampleMeasure V p).real {ω |
((P.interedges (U ∩ sampleVertices ω) (sampleVertices ω \ (U ∩ sampleVertices ω))).card : ℝ) <
(p : ℝ)^2/4 * (P.interedges U Uᶜ).card} ≤
2 * (Fintype.card V : ℝ) * exp (-(p : ℝ)^3*h^2/(256*Fintype.card V)) := by
have hAB : Disjoint U Uᶜ := Finset.disjoint_left.mpr (fun _ hx hy => (Finset.mem_compl.mp hy) hx)
have heq (ω : V → Bool) :
P.interedges (U ∩ sampleVertices ω) (sampleVertices ω \ (U ∩ sampleVertices ω)) =
(P.interedges U Uᶜ).filter (fun e => e.1 ∈ sampleVertices ω ∧ e.2 ∈ sampleVertices ω) := by
ext ⟨x,y⟩
simp only [SimpleGraph.mem_interedges_iff, Finset.mem_inter, Finset.mem_sdiff,
Finset.mem_filter, Finset.mem_compl]
aesop
have ht := sampled_bipartite_cut_lower_tail p hr U Uᶜ hAB (P.interedges U Uᶜ)
(fun e he => ⟨(P.mem_interedges_iff.mp he).1, (P.mem_interedges_iff.mp he).2.1⟩)
have hl : (p : ℝ)*h^2/8 ≤ ((P.interedges U Uᶜ).card : ℝ) := by
have ht := mul_le_mul_of_nonneg_left hU hh
have hu := hexp U
nlinarith
have he : -(p : ℝ)^2 * (P.interedges U Uᶜ).card/(32*Fintype.card V) ≤
-(p : ℝ)^3*h^2/(256*Fintype.card V) := by
have hrR : 0 < (Fintype.card V : ℝ) := by exact_mod_cast hr
apply (div_le_div_iff₀ (by positivity) (by positivity)).mpr
have hs := mul_le_mul_of_nonneg_left hl (by positivity : 0 ≤ (p : ℝ)^2)
nlinarith
simp_rw [heq]
have hc : (p : ℝ)^2/4 * (P.interedges U Uᶜ).card = (p : ℝ)^2 * (P.interedges U Uᶜ).card/4 := by ring
rw [hc]
exact ht.trans (mul_le_mul_of_nonneg_left (exp_le_exp.mpr he) (by positivity))
def SampleGood (P : SimpleGraph V) [DecidableRel P.Adj] (p h τ : ℝ) (ω : V → Bool) : Prop :=
((sampleVertices ω).card : ℝ) ≤ 2*p*Fintype.card V ∧
(∀ v, p*h/2 ≤ ((neighborsIn P v (sampleVertices ω)).card : ℝ)) ∧
CutExpansionOn P (sampleVertices ω) τ
theorem vertex_sampling_failure_bound (P : SimpleGraph V) [DecidableRel P.Adj]
(p : unitInterval) {h τ M : ℝ} (hp : 0 < (p : ℝ)) (hh : 0 < h) (hτ0 : 0 < τ)
(hτ : τ < (p : ℝ)*h/4) (hM : 0 < M) (hMh : M ≤ h)
(hr : 2 ≤ Fintype.card V)
(hmiss : (Fintype.card V : ℝ) * exp (-(p : ℝ)*M/4) < 1/2)
(hε : 4*τ/((p : ℝ)*h) + 4*τ*M/h ≤ 1/2)
(hperturb : τ + Fintype.card V * (4*τ/((p : ℝ)*h) + 4*τ*M/h) ≤ (p : ℝ)^2*h/8)
(hexp : CutExpansion P h) :
(sampleMeasure V p).real {ω | ¬SampleGood P (p : ℝ) h τ ω} ≤
exp (-(p : ℝ)*Fintype.card V/3) +
Fintype.card V * exp (-(p : ℝ)*h/8) +
2*Fintype.card V * ((⌈4*Fintype.card V*M/h⌉₊+1 : ℕ) : ℝ) *
(Fintype.card V : ℝ)^⌈4*Fintype.card V*M/h⌉₊ *
exp (-(p : ℝ)^3*h^2/(256*Fintype.card V)) := by
classical
let μ := sampleMeasure V p
let s := ⌈4*(Fintype.card V : ℝ)*M/h⌉₊
let large := (witnessFamily P s).filter
(fun U => (p : ℝ)*h/8 ≤ min (U.card : ℝ) (Uᶜ.card : ℝ))
let B₀ : Set (V → Bool) := {ω | 2*(p : ℝ)*Fintype.card V < ((sampleVertices ω).card : ℝ)}
let B₁ (v : V) : Set (V → Bool) :=
{ω | ((neighborsIn P v (sampleVertices ω)).card : ℝ) < (p : ℝ)*h/2}
let B₂ (U : Finset V) : Set (V → Bool) := {ω |
((P.interedges (U ∩ sampleVertices ω) (sampleVertices ω \ (U ∩ sampleVertices ω))).card : ℝ) <
(p : ℝ)^2/4 * (P.interedges U Uᶜ).card}
have h₀ : μ.real B₀ ≤ exp (-(p : ℝ)*Fintype.card V/3) := by
have hs : B₀ ⊆ {ω | 2*(p : ℝ)*Fintype.card V ≤ ((sampleVertices ω).card : ℝ)} := by
intro ω hω
change 2*(p : ℝ)*Fintype.card V < ((sampleVertices ω).card : ℝ) at hω
exact hω.le
have ht := sample_card_upper_tail p (Finset.univ : Finset V)
simp only [Finset.card_univ, Finset.univ_inter] at ht
exact (measureReal_mono hs (measure_ne_top _ _)).trans ht
have h₁ : μ.real (⋃ v ∈ (Finset.univ : Finset V), B₁ v) ≤
Fintype.card V * exp (-(p : ℝ)*h/8) := by
calc
_ ≤ ∑ v : V, μ.real (B₁ v) := measureReal_biUnion_finset_le _ _
_ ≤ ∑ _v : V, exp (-(p : ℝ)*h/8) := Finset.sum_le_sum (fun v _ =>
sample_neighbors_lower_tail P p (cutExpansion_minDegree P hexp hr) v)
_ = _ := by simp
have h₂ : μ.real (⋃ U ∈ large, B₂ U) ≤
2*Fintype.card V * ((s+1 : ℕ) : ℝ) * (Fintype.card V : ℝ)^s *
exp (-(p : ℝ)^3*h^2/(256*Fintype.card V)) := by
calc
_ ≤ ∑ U ∈ large, μ.real (B₂ U) := measureReal_biUnion_finset_le _ _
_ ≤ ∑ _U ∈ large, 2*(Fintype.card V : ℝ)*exp (-(p : ℝ)^3*h^2/(256*Fintype.card V)) := by
apply Finset.sum_le_sum
intro U hU
exact sampled_witness_cut_lower_tail P p hh.le hexp (by omega) U (Finset.mem_filter.mp hU).2
_ = (large.card : ℝ) * (2*Fintype.card V * exp (-(p : ℝ)^3*h^2/(256*Fintype.card V))) := by simp
_ ≤ (((s+1 : ℕ) : ℝ) * (Fintype.card V : ℝ)^s) *
(2*Fintype.card V * exp (-(p : ℝ)^3*h^2/(256*Fintype.card V))) := by
apply mul_le_mul_of_nonneg_right _ (by positivity)
have ht : large.card ≤ (s+1)*Fintype.card V^s :=
(Finset.card_le_card (Finset.filter_subset _ _)).trans
(card_witnessFamily_le P s (by omega))
exact_mod_cast ht
_ = _ := by ring
have hcover : {ω | ¬SampleGood P (p : ℝ) h τ ω} ⊆
(B₀ ∪ (⋃ v ∈ (Finset.univ : Finset V), B₁ v)) ∪ (⋃ U ∈ large, B₂ U) := by
intro ω hω
by_contra hn
have hn₀ : ω ∉ B₀ := fun h => hn (Or.inl (Or.inl h))
have hn₁ (v : V) : ω ∉ B₁ v := fun h => hn (Or.inl (Or.inr
(Set.mem_iUnion.mpr ⟨v, Set.mem_iUnion.mpr ⟨Finset.mem_univ _, h⟩⟩)))
have hn₂ (U : Finset V) (hU : U ∈ large) : ω ∉ B₂ U := fun h => hn (Or.inr
(Set.mem_iUnion.mpr ⟨U, Set.mem_iUnion.mpr ⟨hU,h⟩⟩))
apply hω
have hd (v : V) : (p : ℝ)*h/2 ≤ ((neighborsIn P v (sampleVertices ω)).card : ℝ) :=
le_of_not_gt (hn₁ v)
refine ⟨le_of_not_gt hn₀, hd, ?_⟩
apply cutExpansionOn_of_witnesses P (sampleVertices ω) hp hh hτ0 hτ hM hMh
hmiss hε hperturb hexp hd
intro S hS
dsimp only
intro hU
let U := neighborhoodUnion P S
have hSc : S.card ≤ s := by
have ht := hS.trans (Nat.le_ceil (4*(Fintype.card V : ℝ)*M/h))
dsimp [s]
exact_mod_cast ht
have hmem : U ∈ large := by
apply Finset.mem_filter.mpr
refine ⟨?_, hU⟩
apply Finset.mem_image.mpr
exact ⟨S, Finset.mem_filter.mpr ⟨Finset.mem_powerset.mpr (Finset.subset_univ _), hSc⟩, rfl⟩
exact le_of_not_gt (hn₂ U hmem)
calc
_ ≤ μ.real ((B₀ ∪ (⋃ v ∈ (Finset.univ : Finset V), B₁ v)) ∪ (⋃ U ∈ large, B₂ U)) :=
measureReal_mono hcover (measure_ne_top _ _)
_ ≤ μ.real (B₀ ∪ (⋃ v ∈ (Finset.univ : Finset V), B₁ v)) + μ.real (⋃ U ∈ large, B₂ U) :=
measureReal_union_le _ _
_ ≤ μ.real B₀ + μ.real (⋃ v ∈ (Finset.univ : Finset V), B₁ v) + μ.real (⋃ U ∈ large, B₂ U) :=
add_le_add (measureReal_union_le _ _) le_rfl
_ ≤ _ := add_le_add (add_le_add h₀ h₁) h₂
end ErdosGallai.Sampling
end
end OAI