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import OAI.Combinatorics.CycleDecomposition.BatchResolution
namespace OAI
universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7 cycleUniverse8
section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
section
namespace ErdosGallai.Batch.Splitting
open MeasureTheory ProbabilityTheory Finset Real
section BernoulliBounds
variable {Ω : Type cycleUniverse1} {I : Type cycleUniverse2} [MeasurableSpace Ω] {μ : Measure Ω} [IsProbabilityMeasure μ]
lemma indicator_mem_Icc {Ω : Type cycleUniverse3} [_contextInstance1 : MeasurableSpace Ω] {X : Ω → ℝ} (hX : ∀ ω, X ω = 0 ∨ X ω = 1) (ω : Ω) :
X ω ∈ Set.Icc (0 : ℝ) 1 := by rcases hX ω with h | h <;> simp [h]
lemma mgf_indicator {X : Ω → ℝ} (hm : Measurable X)
(hX : ∀ ω, X ω = 0 ∨ X ω = 1) (p t : ℝ) (hp : ∫ ω, X ω ∂μ = p) :
mgf X μ t = 1 + p * (exp t - 1) := by
have hXi : Integrable X μ := Integrable.of_mem_Icc 0 1 hm.aemeasurable
(ae_of_all _ (indicator_mem_Icc hX))
have heq : (fun ω => exp (t * X ω)) = fun ω => (1 : ℝ) + (exp t - 1) * X ω := by
funext ω
rcases hX ω with h | h <;> simp [h]
rw [mgf, heq, integral_add (integrable_const _) (hXi.const_mul _), integral_const_mul,
hp, integral_const]
simp [mul_comm]
lemma mgf_indicator_sum_bound {X : I → Ω → ℝ} (s : Finset I)
(hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
(hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
(p t : ℝ) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
mgf (∑ i ∈ s, X i) μ t ≤ exp ((s.card : ℝ) * p * (exp t - 1)) := by
by_cases hs : s.Nonempty
swap
· have he := Finset.not_nonempty_iff_eq_empty.mp hs
simp [he]
rw [hi.mgf_sum hm]
have heq : (∏ i ∈ s, mgf (X i) μ t) = (1 + p * (exp t - 1)) ^ s.card := by
simp_rw [mgf_indicator (hm _) (hX _) p t (hp _)]
simp
rw [heq]
have hn : 0 ≤ 1 + p * (exp t - 1) := by
obtain ⟨i, _⟩ := hs
rw [← mgf_indicator (hm i) (hX i) p t (hp i)]
exact mgf_nonneg
calc
(1 + p * (exp t - 1)) ^ s.card ≤ exp (p * (exp t - 1)) ^ s.card :=
pow_le_pow_left₀ hn (by linarith [add_one_le_exp (p * (exp t - 1))]) _
_ = _ := by rw [← exp_nat_mul]; congr 1; ring
lemma exp_neg_half_bound : exp (-(1 / 2 : ℝ)) ≤ 5 / 8 := by
have he : exp (1 / 2 : ℝ) * exp (1 / 2 : ℝ) = exp 1 := by
rw [← exp_add]; norm_num
have hlow : (8 / 5 : ℝ) ≤ exp (1 / 2 : ℝ) := by
nlinarith [exp_one_gt_d9, exp_pos (1 / 2 : ℝ)]
rw [exp_neg]
exact (inv_le_comm₀ (exp_pos _) (by norm_num)).mpr (by norm_num at *; exact hlow)
lemma exp_half_bound : exp (1 / 2 : ℝ) ≤ 5 / 3 := by
have he : exp (1 / 2 : ℝ) * exp (1 / 2 : ℝ) = exp 1 := by
rw [← exp_add]; norm_num
nlinarith [exp_one_lt_d9, exp_pos (1 / 2 : ℝ)]
theorem bernoulli_sum_lower_tail {X : I → Ω → ℝ} (s : Finset I)
(hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
(hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
(p : ℝ) (hp0 : 0 ≤ p) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
μ.real {ω | (∑ i ∈ s, X i ω) ≤ p * s.card / 2} ≤ exp (-p * s.card / 8) := by
have hInt : Integrable (fun ω => exp (-(1 / 2 : ℝ) * (∑ i ∈ s, X i) ω)) μ :=
hi.integrable_exp_mul_sum hm (fun i _ => integrable_exp_mul_of_mem_Icc
(hm i).aemeasurable (ae_of_all _ (indicator_mem_Icc (hX i))))
have hb := measure_le_le_exp_mul_mgf (X := ∑ i ∈ s, X i) (p * s.card / 2)
(by norm_num : -(1 / 2 : ℝ) ≤ 0) hInt
simp only [Finset.sum_apply] at hb
apply hb.trans
calc
_ ≤ exp (-(-(1 / 2 : ℝ)) * (p * s.card / 2)) *
exp ((s.card : ℝ) * p * (exp (-(1 / 2 : ℝ)) - 1)) := by
exact mul_le_mul_of_nonneg_left (mgf_indicator_sum_bound s hm hi hX p _ hp) (exp_pos _).le
_ = exp (p * s.card / 4 + (s.card : ℝ) * p * (exp (-(1 / 2 : ℝ)) - 1)) := by
rw [← exp_add]; congr 1; ring
_ ≤ _ := by
apply exp_le_exp.mpr
nlinarith [mul_le_mul_of_nonneg_left exp_neg_half_bound
(mul_nonneg (Nat.cast_nonneg s.card) hp0)]
theorem bernoulli_sum_upper_tail {X : I → Ω → ℝ} (s : Finset I)
(hm : ∀ i, Measurable (X i)) (hi : iIndepFun X μ)
(hX : ∀ i ω, X i ω = 0 ∨ X i ω = 1)
(p : ℝ) (hp0 : 0 ≤ p) (hp : ∀ i, ∫ ω, X i ω ∂μ = p) :
μ.real {ω | 2 * p * s.card ≤ ∑ i ∈ s, X i ω} ≤ exp (-p * s.card / 3) := by
have hInt : Integrable (fun ω => exp ((1 / 2 : ℝ) * (∑ i ∈ s, X i) ω)) μ :=
hi.integrable_exp_mul_sum hm (fun i _ => integrable_exp_mul_of_mem_Icc
(hm i).aemeasurable (ae_of_all _ (indicator_mem_Icc (hX i))))
have hb := measure_ge_le_exp_mul_mgf (X := ∑ i ∈ s, X i) (2 * p * s.card)
(by norm_num : (0 : ℝ) ≤ 1 / 2) hInt
simp only [Finset.sum_apply] at hb
apply hb.trans
calc
_ ≤ exp (-(1 / 2 : ℝ) * (2 * p * s.card)) *
exp ((s.card : ℝ) * p * (exp (1 / 2 : ℝ) - 1)) := by
exact mul_le_mul_of_nonneg_left (mgf_indicator_sum_bound s hm hi hX p _ hp) (exp_pos _).le
_ = exp (-p * s.card + (s.card : ℝ) * p * (exp (1 / 2 : ℝ) - 1)) := by
rw [← exp_add]; congr 1; ring
_ ≤ _ := by
apply exp_le_exp.mpr
nlinarith [mul_le_mul_of_nonneg_left exp_half_bound
(mul_nonneg (Nat.cast_nonneg s.card) hp0)]
end BernoulliBounds
noncomputable section
variable {V : Type cycleUniverse4} [Fintype V] [DecidableEq V]
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)
lemma boundary_sym2_injective (P : SimpleGraph V) [DecidableRel P.Adj]
(U : Finset V) :
Set.InjOn (fun e : V × V => s(e.1, e.2)) (P.interedges U Uᶜ : Set (V × V)) := by
intro e he f hf hef
rcases (Sym2.mk_eq_mk_iff.mp hef) with h | h
· exact h
· have he1 := (P.mem_interedges_iff.mp he).1
have hf2 := (P.mem_interedges_iff.mp hf).2.1
have hfirst : e.1 = f.2 := congrArg Prod.fst h
exact False.elim ((Finset.mem_compl.mp hf2) (hfirst ▸ he1))
def edgeColorMeasure (V : Type cycleUniverse5) [Fintype V] (l : ℕ) [NeZero l] :
Measure (Sym2 V → Fin l) :=
Measure.pi (fun _ : Sym2 V => (PMF.uniformOfFintype (Fin l)).toMeasure)
instance edgeColorMeasure_probability (l : ℕ) [NeZero l] :
IsProbabilityMeasure (edgeColorMeasure V l) := by
unfold edgeColorMeasure
infer_instance
def colorIndicator {l : ℕ} (i : Fin l) (e : Sym2 V) (ω : Sym2 V → Fin l) : ℝ :=
if ω e = i then 1 else 0
lemma colorIndicator_indep {V : Type cycleUniverse6} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {l : ℕ} [NeZero l] (i : Fin l) :
iIndepFun (colorIndicator (V := V) i) (edgeColorMeasure V l) := by
exact iIndepFun_pi (X := fun _ : Sym2 V => fun j : Fin l => if j = i then (1 : ℝ) else 0)
(fun _ => (measurable_of_finite _).aemeasurable)
lemma colorIndicator_integral {V : Type cycleUniverse7} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {l : ℕ} [NeZero l] (i : Fin l) (e : Sym2 V) :
∫ ω, colorIndicator i e ω ∂edgeColorMeasure V l = 1/(l : ℝ) := by
have hl := (measurePreserving_eval
(fun _ : Sym2 V => (PMF.uniformOfFintype (Fin l)).toMeasure) e).hasLaw
have hi := hl.integral_comp (f := fun j : Fin l => if j = i then (1 : ℝ) else 0)
(measurable_of_finite _).aestronglyMeasurable
rw [PMF.integral_eq_sum] at hi
simpa [edgeColorMeasure, colorIndicator, PMF.uniformOfFintype_apply] using hi
def colorGraph (P : SimpleGraph V) {l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) :
SimpleGraph V where
Adj x y := P.Adj x y ∧ ω s(x,y) = i
symm := ⟨by intro x y h; exact ⟨h.1.symm, by simpa only [Sym2.eq_swap] using h.2⟩⟩
loopless := ⟨by intro x h; exact P.irrefl h.1⟩
instance colorGraph_decidable (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) :
DecidableRel (colorGraph P ω i).Adj := fun _ _ => inferInstanceAs (Decidable (_ ∧ _))
lemma colorGraph_interedges {V : Type cycleUniverse8} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) (S T : Finset V) :
(colorGraph P ω i).interedges S T =
(P.interedges S T).filter (fun e => ω s(e.1,e.2) = i) := by
ext ⟨x,y⟩
simp only [SimpleGraph.mem_interedges_iff, Finset.mem_filter]
change (x ∈ S ∧ y ∈ T ∧ (P.Adj x y ∧ ω s(x,y) = i)) ↔ _
tauto
lemma color_cut_sum (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} (ω : Sym2 V → Fin l) (i : Fin l) (S : Finset V) :
(∑ e ∈ (P.interedges S Sᶜ).image (fun e => s(e.1,e.2)), colorIndicator i e ω) =
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) := by
rw [Finset.sum_image (boundary_sym2_injective P S)]
simp only [colorIndicator, Finset.sum_boole, colorGraph_interedges]
lemma color_cut_lower_tail (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} [NeZero l] (i : Fin l) (S : Finset V) {h : ℝ}
(hexp : CutExpansion P h) (hS : S.card ≤ Sᶜ.card) :
(edgeColorMeasure V l).real {ω |
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} ≤
exp (-h*S.card/(8*l)) := by
let E := (P.interedges S Sᶜ).image (fun e => s(e.1,e.2))
have hcard : E.card = (P.interedges S Sᶜ).card :=
Finset.card_image_of_injOn (boundary_sym2_injective P S)
have hl : 0 < (l : ℝ) := by exact_mod_cast Nat.pos_of_ne_zero (NeZero.ne l)
have hcut : h * S.card ≤ (E.card : ℝ) := by
rw [hcard]
have he := hexp S
rwa [min_eq_left (by exact_mod_cast hS)] at he
have hb := bernoulli_sum_lower_tail (μ := edgeColorMeasure V l) E
(fun e => measurable_of_finite (colorIndicator i e)) (colorIndicator_indep i)
(fun e ω => by simp only [colorIndicator]; split <;> simp)
(1/(l : ℝ)) (by positivity) (colorIndicator_integral i)
apply (measureReal_mono (show {ω |
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} ⊆
{ω | (∑ e ∈ E, colorIndicator i e ω) ≤ (1/(l : ℝ))*E.card/2} from ?_)).trans
(hb.trans ?_)
· intro ω hω
change (∑ e ∈ E, colorIndicator i e ω) ≤ (1/(l : ℝ))*E.card/2
rw [show (∑ e ∈ E, colorIndicator i e ω) =
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) from color_cut_sum P ω i S]
calc
_ ≤ h*S.card/(2*l) := le_of_lt hω
_ ≤ (E.card : ℝ)/(2*l) := div_le_div_of_nonneg_right hcut (by positivity)
_ = _ := by ring
· apply exp_le_exp.mpr
have he := div_le_div_of_nonneg_right hcut (show 0 ≤ 8*(l : ℝ) by positivity)
calc
_ = -((E.card : ℝ)/(8*l)) := by ring
_ ≤ -(h*S.card/(8*l)) := neg_le_neg he
_ = _ := by ring
lemma cutExpansion_of_small_cuts (P : SimpleGraph V) [DecidableRel P.Adj] {h : ℝ}
(hcut : ∀ S : Finset V, S.Nonempty → S.card ≤ Sᶜ.card →
h*S.card ≤ ((P.interedges S Sᶜ).card : ℝ)) : CutExpansion P h := by
intro S
by_cases he : S = ∅
· simp [he]
by_cases hc : Sᶜ = ∅
· simp [hc]
by_cases hs : S.card ≤ Sᶜ.card
· rw [min_eq_left (by exact_mod_cast hs)]
exact hcut S (Finset.nonempty_iff_ne_empty.mpr he) hs
· rw [min_eq_right (by exact_mod_cast le_of_not_ge hs)]
have hi := hcut Sᶜ (Finset.nonempty_iff_ne_empty.mpr hc) (by simpa using le_of_not_ge hs)
have hcomm : (P.interedges Sᶜ S).card = (P.interedges S Sᶜ).card := by
have := P.symm
exact Rel.card_interedges_comm Sᶜ S
simpa only [compl_compl, hcomm] using hi
lemma sum_nonempty_subsets_power (q : ℝ) :
(∑ S ∈ (Finset.univ : Finset (Finset V)).erase ∅, q^S.card) =
(1+q)^(Fintype.card V)-1 := by
have hs := Finset.sum_erase_add (s := Finset.univ) (fun S : Finset V => q^S.card)
(Finset.mem_univ (∅ : Finset V))
have hp := Finset.prod_one_add (s := (Finset.univ : Finset V)) (f := fun _ => q)
simp only [Finset.prod_const, Finset.card_univ, Finset.powerset_univ] at hp
simp only [Finset.card_empty, pow_zero] at hs
linarith
theorem edge_splitting_failure_bound (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} [NeZero l] {h : ℝ} (hexp : CutExpansion P h) :
(edgeColorMeasure V l).real {ω | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} ≤
l * (exp ((Fintype.card V : ℝ)*exp (-h/(8*l)))-1) := by
let cuts : Finset (Finset V) := Finset.univ.erase ∅
let B (i : Fin l) (S : Finset V) : Set (Sym2 V → Fin l) :=
{ω | S.card ≤ Sᶜ.card ∧
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)}
let q : ℝ := exp (-h/(8*l))
have cover : {ω | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} ⊆
⋃ i ∈ (Finset.univ : Finset (Fin l)), ⋃ S ∈ cuts, B i S := by
intro ω hω
rcases hω with ⟨i, hi⟩
by_contra hn
apply hi
apply cutExpansion_of_small_cuts
intro S hS hs
have hb : ω ∉ B i S := by
intro hm
apply hn
exact Set.mem_iUnion.mpr ⟨i, Set.mem_iUnion.mpr ⟨Finset.mem_univ _,
Set.mem_iUnion.mpr ⟨S, Set.mem_iUnion.mpr
⟨Finset.mem_erase.mpr ⟨hS.ne_empty, Finset.mem_univ _⟩, hm⟩⟩⟩⟩
have hc : h*S.card/(2*l) ≤ (((colorGraph P ω i).interedges S Sᶜ).card : ℝ) := by
exact le_of_not_gt (fun hf => hb ⟨hs, hf⟩)
convert hc using 1 ; ring
have hbound (i : Fin l) (S : Finset V) :
(edgeColorMeasure V l).real (B i S) ≤ q^S.card := by
by_cases hs : S.card ≤ Sᶜ.card
· calc
_ ≤ (edgeColorMeasure V l).real {ω |
(((colorGraph P ω i).interedges S Sᶜ).card : ℝ) < h*S.card/(2*l)} :=
measureReal_mono (fun _ hw => hw.2)
_ ≤ exp (-h*S.card/(8*l)) := color_cut_lower_tail P i S hexp hs
_ = q^S.card := by dsimp [q]; rw [← exp_nat_mul]; congr 1; ring
· have he : B i S = ∅ := by ext ω; simp [B,hs]
rw [he, measureReal_empty]
exact pow_nonneg (exp_pos _).le _
calc
_ ≤ (edgeColorMeasure V l).real
(⋃ i ∈ (Finset.univ : Finset (Fin l)), ⋃ S ∈ cuts, B i S) :=
measureReal_mono cover (measure_ne_top _ _)
_ ≤ ∑ i : Fin l, (edgeColorMeasure V l).real (⋃ S ∈ cuts, B i S) :=
measureReal_biUnion_finset_le _ _
_ ≤ ∑ i : Fin l, ∑ S ∈ cuts, (edgeColorMeasure V l).real (B i S) :=
Finset.sum_le_sum (fun _ _ => measureReal_biUnion_finset_le _ _)
_ ≤ ∑ _i : Fin l, ∑ S ∈ cuts, q^S.card := by
apply Finset.sum_le_sum; intro i _; exact Finset.sum_le_sum (fun S _ => hbound i S)
_ = (l : ℝ)*((1+q)^(Fintype.card V)-1) := by
simp only [cuts, sum_nonempty_subsets_power, Finset.sum_const, Finset.card_univ,
Fintype.card_fin, nsmul_eq_mul]
_ ≤ l*(exp ((Fintype.card V : ℝ)*q)-1) := by
apply mul_le_mul_of_nonneg_left _ (Nat.cast_nonneg l)
apply sub_le_sub_right
calc
_ ≤ (exp q)^(Fintype.card V) :=
pow_le_pow_left₀ (by dsimp [q]; positivity) (by linarith [add_one_le_exp q]) _
_ = _ := (exp_nat_mul _ _).symm
theorem edge_splitting_of_error_lt_one (P : SimpleGraph V) [DecidableRel P.Adj]
{l : ℕ} [NeZero l] {h : ℝ} (hexp : CutExpansion P h)
(herror : (l : ℝ)*(exp ((Fintype.card V : ℝ)*exp (-h/(8*l)))-1) < 1) :
∃ ω : Sym2 V → Fin l,
(∀ i, CutExpansion (colorGraph P ω i) (h/(2*l))) ∧
(∀ x y, P.Adj x y ↔ ∃ i, (colorGraph P ω i).Adj x y) ∧
(∀ i j, i ≠ j → Disjoint (colorGraph P ω i).edgeSet (colorGraph P ω j).edgeSet) := by
have he := (edge_splitting_failure_bound P hexp).trans_lt herror
have hh : ∃ ω : Sym2 V → Fin l, ∀ i, CutExpansion (colorGraph P ω i) (h/(2*l)) := by
by_contra hn
push Not at hn
have hall : {ω : Sym2 V → Fin l | ∃ i, ¬CutExpansion (colorGraph P ω i) (h/(2*l))} =
Set.univ := Set.eq_univ_of_forall hn
simp only [hall, Measure.real, measure_univ, ENNReal.toReal_one] at he
exact (lt_irrefl _ he)
obtain ⟨ω, hω⟩ := hh
refine ⟨ω, hω, ?_, ?_⟩
· intro x y
exact ⟨fun hxy => ⟨ω s(x,y), hxy, rfl⟩, fun ⟨_, hxy, _⟩ => hxy⟩
· intro i j hij
apply Set.disjoint_left.mpr
intro e hei hej
induction e using Sym2.ind with | _ x y =>
have hi : (colorGraph P ω i).Adj x y := by simpa using hei
have hj : (colorGraph P ω j).Adj x y := by simpa using hej
exact hij (hi.2.symm.trans hj.2)
end
open Filter Asymptotics
open scoped Topology
lemma tendsto_monomial_exp_neg_power (a b c : ℝ) (hb : 0 < b) (hc : 0 < c) :
Tendsto (fun D : ℝ => D^a * exp (-c * D^b)) atTop (𝓝 0) := by
have ht := (tendsto_rpow_mul_exp_neg_mul_atTop_nhds_zero (a/b) c hc).comp
(tendsto_rpow_atTop hb)
apply ht.congr'
filter_upwards [eventually_gt_atTop (0 : ℝ)] with D hD
dsimp only [Function.comp_def]
rw [← Real.rpow_mul hD.le, mul_div_cancel₀ _ hb.ne']
noncomputable def edgeSplittingScaleError (c : ℝ) (l : ℕ) (D : ℝ) : ℝ :=
(l : ℝ) * (Real.exp (D^(51/50 : ℝ) * Real.exp ((-(c / (8*l))) * D^(9/10 : ℝ))) - 1)
lemma edgeSplittingScaleError_tendsto (c : ℝ) (hc : 0 < c) (l : ℕ) (hl : 0 < l) :
Tendsto (edgeSplittingScaleError c l) atTop (𝓝 0) := by
have hlR : 0 < (l : ℝ) := by exact_mod_cast hl
have ht := tendsto_monomial_exp_neg_power (51/50) (9/10) (c/(8*l))
(by norm_num) (by positivity)
have hh := ((Real.continuous_exp.tendsto 0).comp ht).sub_const 1 |>.const_mul (l : ℝ)
unfold edgeSplittingScaleError
convert hh using 1 <;> norm_num
universe u
theorem edge_splitting_uniform (c : ℝ) (hc : 0 < c) (l : ℕ) (hl : 0 < l) :
∃ D₀ : ℝ, ∀ D : ℝ, D₀ ≤ D → ∀ (V : Type u) [Fintype V] [DecidableEq V]
(P : SimpleGraph V) [DecidableRel P.Adj] (h : ℝ),
c*D^(9/10 : ℝ) ≤ h → D^(9/10 : ℝ) ≤ (Fintype.card V : ℝ) →
(Fintype.card V : ℝ) ≤ D^(51/50 : ℝ) → CutExpansion P h →
∃ ω : Sym2 V → Fin l,
(∀ i, CutExpansion (colorGraph P ω i) (h/(2*l))) ∧
(∀ x y, P.Adj x y ↔ ∃ i, (colorGraph P ω i).Adj x y) ∧
(∀ i j, i ≠ j → Disjoint (colorGraph P ω i).edgeSet (colorGraph P ω j).edgeSet) := by
have : NeZero l := ⟨hl.ne'⟩
have hlR : 0 < (l : ℝ) := by exact_mod_cast hl
have hevent := (edgeSplittingScaleError_tendsto c hc l hl).eventually_lt_const
(show (0 : ℝ) < 1 by norm_num)
obtain ⟨D₀,hD₀⟩ := hevent.exists_forall_of_atTop
refine ⟨D₀, ?_⟩
intro D hD V _ _ P _ h hh _hrlo hrhi hexp
apply edge_splitting_of_error_lt_one P hexp
apply lt_of_le_of_lt _ (hD₀ D hD)
unfold edgeSplittingScaleError
apply mul_le_mul_of_nonneg_left _ hlR.le
apply sub_le_sub_right
apply exp_le_exp.mpr
apply mul_le_mul hrhi _ (exp_pos _).le ((Nat.cast_nonneg (Fintype.card V)).trans hrhi)
apply exp_le_exp.mpr
have he := div_le_div_of_nonneg_right hh (show 0 ≤ 8*(l : ℝ) by positivity)
calc
-h/(8*l) = -(h/(8*l)) := by ring
_ ≤ -(c*D^(9/10 : ℝ)/(8*l)) := neg_le_neg he
_ = -(c/(8*l))*D^(9/10 : ℝ) := by ring
end ErdosGallai.Batch.Splitting
namespace ErdosGallai.Batch
noncomputable section
open Real
def inductionPhi (x : ℝ) : ℝ :=
if x = 1 then 1/2 else max (1/2) (1 - 1 / sqrt (logb 2 x))
lemma inductionPhi_one : inductionPhi 1 = 1/2 := by simp [inductionPhi]
lemma inductionPhi_bounds (x : ℝ) : 1/2 ≤ inductionPhi x ∧ inductionPhi x ≤ 1 := by
by_cases hx : x = 1
· norm_num [inductionPhi, hx]
· simp only [inductionPhi, hx, ite_false]
exact ⟨le_max_left _ _, max_le (by norm_num) (by linarith [one_div_nonneg.mpr (Real.sqrt_nonneg (logb 2 x))])⟩
lemma inductionPhi_monotone : MonotoneOn inductionPhi (Set.Ici 1) := by
intro x hx y hy hxy
by_cases hx1 : x = 1
· simpa [hx1, inductionPhi_one] using (inductionPhi_bounds y).1
have hxgt : 1 < x := lt_of_le_of_ne hx (Ne.symm hx1)
have hygt : 1 < y := hxgt.trans_le hxy
have hlog : logb 2 x ≤ logb 2 y := Real.logb_le_logb_of_le (by norm_num)
(by linarith) hxy
have hxlog : 0 < logb 2 x := Real.logb_pos (by norm_num) hxgt
have hinv := one_div_le_one_div_of_le (Real.sqrt_pos.mpr hxlog) (Real.sqrt_le_sqrt hlog)
simp only [inductionPhi, hx1, ne_of_gt hygt, ite_false]
exact max_le_max le_rfl (by linarith)
lemma inductionPhi_nonconstant (x : ℝ) (hlog : 4 ≤ logb 2 x) :
inductionPhi x = 1 - 1 / sqrt (logb 2 x) := by
have hx : x ≠ 1 := by intro hx; subst x; norm_num at hlog
have hsqrt : 2 ≤ sqrt (logb 2 x) := by
convert Real.sqrt_le_sqrt hlog using 1 ; norm_num
have hinv : 1 / sqrt (logb 2 x) ≤ 1/2 :=
one_div_le_one_div_of_le (by norm_num) hsqrt
simp only [inductionPhi, hx, ite_false]
exact max_eq_right (by linarith)
def inductionDelta : ℝ := 1 / sqrt (3/10) - 1
lemma inductionDelta_pos : 0 < inductionDelta := by
have hs : 0 < sqrt (3/10 : ℝ) := Real.sqrt_pos.mpr (by norm_num)
have hs1 : sqrt (3/10 : ℝ) < 1 := by
exact (Real.sqrt_lt' (by norm_num)).mpr (by norm_num)
dsimp [inductionDelta]
have hh := (one_lt_div hs).mpr hs1
linarith
theorem induction_potential_gain (D n : ℝ) (hD : 1 < D) (hn : D ≤ n)
(hw : 40/3 ≤ logb 2 D) :
inductionDelta / sqrt (logb 2 D) ≤ inductionPhi n - inductionPhi (D^(3/10:ℝ)) := by
have hD0 : 0 < D := by linarith
have hw0 : 0 < logb 2 D := by linarith
have hnlog : logb 2 D ≤ logb 2 n :=
Real.logb_le_logb_of_le (by norm_num) hD0 hn
have hblog : logb 2 (D^(3/10:ℝ)) = (3/10)*logb 2 D := by
exact Real.logb_rpow_eq_mul_logb_of_pos hD0
rw [inductionPhi_nonconstant n (by linarith),
inductionPhi_nonconstant (D^(3/10:ℝ)) (by rw [hblog]; linarith), hblog]
have hinv := one_div_le_one_div_of_le (Real.sqrt_pos.mpr hw0)
(Real.sqrt_le_sqrt hnlog)
have hid : 1 / sqrt ((3/10)*logb 2 D) - 1 / sqrt (logb 2 D) =
inductionDelta / sqrt (logb 2 D) := by
rw [Real.sqrt_mul (by norm_num : (0:ℝ) ≤ 3/10)]
dsimp [inductionDelta]
field_simp
rw [← hid]
linarith
lemma induction_cutoff_absorption (A w : ℝ) (hA : 0 ≤ A) (hw0 : 0 < w)
(hw : ((A+1)/inductionDelta)^2 ≤ w) :
(A+1)/w ≤ inductionDelta / sqrt w := by
have hd := inductionDelta_pos
have hratio : 0 ≤ (A+1)/inductionDelta := by positivity
have hs : (A+1)/inductionDelta ≤ sqrt w := by
have hh := Real.sqrt_le_sqrt hw
simpa [Real.sqrt_sq hratio] using hh
have hm : A+1 ≤ inductionDelta * sqrt w := by
have := (div_le_iff₀ hd).mp hs
simpa [mul_comm] using this
apply (div_le_div_iff₀ hw0 (Real.sqrt_pos.mpr hw0)).mpr
have hmul := mul_le_mul_of_nonneg_right hm (Real.sqrt_nonneg w)
simpa [mul_assoc, Real.mul_self_sqrt hw0.le] using hmul
theorem induction_cost_absorbed (D n S C A₁ A₂ : ℝ)
(hD : 1 < D) (hn : D ≤ n) (hS : 0 ≤ S) (hC : 0 ≤ C)
(hA₁ : 0 ≤ A₁) (_hA₂ : 0 ≤ A₂) (hCA : 7*A₂ ≤ C)
(hw : 40/3 ≤ logb 2 D)
(hcut : ((A₁+1)/inductionDelta)^2 ≤ logb 2 D) :
A₂*(S+n/logb 2 D) + (C/100)*S +
C*inductionPhi (D^(3/10:ℝ))*(n-S/3+A₁*n/logb 2 D) ≤ C*inductionPhi n*n := by
let f := inductionPhi (D^(3/10:ℝ))
obtain ⟨hflo,hfhi⟩ := inductionPhi_bounds (D^(3/10:ℝ))
have hw0 : 0 < logb 2 D := by linarith
have hn0 : 0 ≤ n := by linarith
have hnw : 0 ≤ n/logb 2 D := div_nonneg hn0 hw0.le
have hcoeff : A₂+C/100-C*f/3 ≤ 0 := by
dsimp [f]
nlinarith [mul_le_mul_of_nonneg_left hflo hC]
have hScost := mul_nonpos_of_nonpos_of_nonneg hcoeff hS
have hA₂C : A₂ ≤ C := by linarith
have hAprod : C*f*A₁ ≤ C*A₁ := by
exact mul_le_mul_of_nonneg_right (by
simpa [f] using mul_le_mul_of_nonneg_left hfhi hC) hA₁
have how := mul_le_mul_of_nonneg_right (add_le_add hA₂C hAprod) hnw
have habs := induction_cutoff_absorption A₁ (logb 2 D) hA₁ hw0 hcut
have hgain := induction_potential_gain D n hD hn hw
have hpay := mul_le_mul_of_nonneg_left (habs.trans hgain) (mul_nonneg hC hn0)
change A₂*(S+n/logb 2 D) + (C/100)*S + C*f*(n-S/3+A₁*n/logb 2 D) ≤ _
change C*n*((A₁+1)/logb 2 D) ≤ C*n*(inductionPhi n - f) at hpay
simp only [div_eq_mul_inv] at hScost how hpay ⊢
nlinarith only [hScost, how, hpay]
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
variable {V : Type} [Fintype V] [DecidableEq V]
lemma cutExpansionOn_of_induce (P : SimpleGraph V) [DecidableRel P.Adj]
(W : Finset V) (h : ℝ) (he : CutExpansion (P.induce (W:Set V)) h) : CutExpansionOn P W h := by
intro A hA
let B : Finset (W:Set V) := univ.filter (fun x => x.val ∈ A)
have him : B.image Subtype.val = A := by
ext x
simp only [Finset.mem_image]
constructor
· rintro ⟨y,hy,rfl⟩; exact (Finset.mem_filter.mp hy).2
· intro hx; exact ⟨⟨x,hA hx⟩,by simp [B,hx],rfl⟩
have hcomp := subtype_image_compl W B
rw [him] at hcomp
have hh := he B
rw [induced_interedges_card,him] at hh
have hc : B.card = A.card := by rw [← him,Finset.card_image_of_injective _ Subtype.val_injective]
have hcc : Bᶜ.card = (W \ A).card := by rw [← hcomp,Finset.card_image_of_injective _ Subtype.val_injective]
simpa only [hc,hcc] using hh
lemma cutExpansionOn_mono {V : Type} [_contextInstance1 : Fintype V] [_contextInstance2 : DecidableEq V] {P Q : SimpleGraph V} [DecidableRel P.Adj] [DecidableRel Q.Adj]
{W : Finset V} {h : ℝ} (he : CutExpansionOn P W h) (hPQ : P ≤ Q) : CutExpansionOn Q W h := by
intro A hA
exact (he A hA).trans (Nat.cast_le.mpr (Finset.card_le_card (by
intro e he
simp only [SimpleGraph.mem_interedges_iff] at he ⊢
exact ⟨he.1,he.2.1,hPQ he.2.2⟩)))
theorem uniform_two_routers_on : ∃ D₀ : ℝ, ∀ D ≥ D₀,
∀ (V : Type) [Fintype V] [DecidableEq V] (R : SimpleGraph V) (W : Finset V),
(∀ ⦃x y⦄, R.Adj x y → x ∈ W ∧ y ∈ W) →
D^(9/10:ℝ) ≤ (W.card:ℝ) → (W.card:ℝ) ≤ D^(51/50:ℝ) →
CutExpansionOn R W (D^(9/10:ℝ)) →
∃ P T : SimpleGraph V, P ≤ R ∧ T ≤ R ∧ Disjoint P.edgeSet T.edgeSet ∧
P.edgeSet ∪ T.edgeSet = R.edgeSet ∧
CutExpansionOn P W (D^(9/10:ℝ)/4) ∧ CutExpansionOn T W (D^(9/10:ℝ)/4) := by
obtain ⟨D₀,hsplit⟩ := Splitting.edge_splitting_uniform 1 (by norm_num) 2 (by norm_num)
refine ⟨D₀,?_⟩
intro D hD V _ _ R W hW hlo hhi he
let R' := R.induce (W:Set V)
have he' : Splitting.CutExpansion R' (D^(9/10:ℝ)) := cutExpansion_induce R W _ he
obtain ⟨ω,hω,hcover,hdis⟩ := hsplit D hD (W:Set V) R' (D^(9/10:ℝ))
(by simp) (by simpa using hlo) (by simpa using hhi) he'
let f : (W:Set V) ↪ V := ⟨Subtype.val,Subtype.val_injective⟩
let Q (i : Fin 2) := (Splitting.colorGraph R' ω i).map f
have hQR (i : Fin 2) : Q i ≤ R := by
apply SimpleGraph.map_le_iff_le_comap.mpr
exact fun _ _ h => h.1
have hind (i) : (Q i).induce (W:Set V) = Splitting.colorGraph R' ω i :=
SimpleGraph.comap_map_eq f _
have hexp (i) : @CutExpansionOn V _ (Q i) (fun _ _ => Classical.propDecidable _) W (D^(9/10:ℝ)/4) := by
apply @cutExpansionOn_of_induce V _ _ (Q i) (fun _ _ => Classical.propDecidable _) W
have hcol : CutExpansion (Splitting.colorGraph R' ω i) (D^(9/10:ℝ)/4) := by simpa only [CutExpansion, Splitting.CutExpansion, Nat.cast_ofNat, show (2:ℝ)*2=4 by norm_num] using hω i
convert hcol using 1 ; simp only [hind]
have hQedge (i) : (Q i).edgeSet = Sym2.map (Subtype.val : ↥(W:Set V) → V) ''
(Splitting.colorGraph R' ω i).edgeSet := SimpleGraph.edgeSet_map f _
refine ⟨Q 0,Q 1,hQR 0,hQR 1,?_,?_,hexp 0,hexp 1⟩
· rw [hQedge,hQedge]
apply Set.disjoint_left.mpr
rintro e ⟨a,ha,hae⟩ ⟨b,hb,hbe⟩
have hab := Sym2.map.injective Subtype.val_injective (hae.trans hbe.symm)
subst b
exact Set.disjoint_left.mp (hdis 0 1 (by decide)) ha hb
· apply Set.Subset.antisymm
· exact Set.union_subset (SimpleGraph.edgeSet_mono (hQR 0)) (SimpleGraph.edgeSet_mono (hQR 1))
· intro e heR
induction e using Sym2.ind with
| _ x y =>
have hxy : R.Adj x y := heR
obtain ⟨i,hi⟩ := (hcover ⟨x,(hW hxy).1⟩ ⟨y,(hW hxy).2⟩).mp hxy
have hm : s(x,y) ∈ (Q i).edgeSet := by
rw [hQedge]
exact ⟨s(⟨x,(hW hxy).1⟩,⟨y,(hW hxy).2⟩),hi,rfl⟩
fin_cases i
· exact Or.inl hm
· exact Or.inr hm
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
noncomputable section
open SimpleGraph Finset
attribute [local instance] Classical.propDecidable
lemma decompositionCost_adjoin_same {V I J : Type} [Fintype V] [Fintype I] [Fintype J]
(G : SimpleGraph V) (parts : I → Set (Sym2 V))
(hp : ∀ i, CycleOrSingleEdge G (parts i))
(hd : Pairwise fun i j => Disjoint (parts i) (parts j))
(H : J → SimpleGraph V) (hHG : ∀ j, H j ≤ G)
(hHH : Pairwise fun i j => Disjoint (H i).edgeSet (H j).edgeSet)
(hHP : ∀ j i, Disjoint (H j).edgeSet (parts i))
(hu : (⋃ i, parts i) ∪ (⋃ j, (H j).edgeSet) = G.edgeSet) :
decompositionCost G ≤ Fintype.card I + ∑ j, decompositionCost (H j) := by
let f : ∀ j, H j →g G := fun j => ⟨id,fun h => hHG j h⟩
have he (j) : Sym2.map (f j) '' (H j).edgeSet = (H j).edgeSet := by
have hf : (f j : V → V) = id := rfl
rw [hf, Sym2.map_id, Set.image_id]
apply decompositionCost_adjoin G parts hp hd (fun _ => V) H f (fun _ => Function.injective_id)
· simpa only [he] using hHH
· simpa only [he] using hHP
· simpa only [he] using hu
lemma decompositionCost_assemble_same {V J : Type} [Fintype V] [Fintype J]
(G : SimpleGraph V) (H : J → SimpleGraph V) (hHG : ∀ j, H j ≤ G)
(hHH : Pairwise fun i j => Disjoint (H i).edgeSet (H j).edgeSet)
(hu : (⋃ j, (H j).edgeSet) = G.edgeSet) :
decompositionCost G ≤ ∑ j, decompositionCost (H j) := by
simpa using decompositionCost_adjoin_same (I := Empty) G Empty.elim (fun i => nomatch i)
(by intro i; exact i.elim) H hHG hHH (fun _ i => nomatch i) (by simpa using hu)
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
def routerRemainder {V : Type} (R : SimpleGraph V) (used : Set (Sym2 V)) : SimpleGraph V :=
R \ SimpleGraph.fromEdgeSet used
lemma routerRemainder_edges {V : Type} (R : SimpleGraph V) (used : Set (Sym2 V)) :
(routerRemainder R used).edgeSet = R.edgeSet \ used := by
simp [routerRemainder,SimpleGraph.edgeSet_sdiff]
lemma routerRemainder_le {V : Type} (R : SimpleGraph V) (used : Set (Sym2 V)) :
routerRemainder R used ≤ R := fun _ _ h => h.1
lemma protected_le_remainder {V : Type} {R T : SimpleGraph V} {used : Set (Sym2 V)}
(hTR : T ≤ R) (htu : Disjoint T.edgeSet used) : T ≤ routerRemainder R used := by
apply SimpleGraph.edgeSet_subset_edgeSet.mp
rw [routerRemainder_edges]
exact fun _ he => ⟨SimpleGraph.edgeSet_mono hTR he,fun hu => Set.disjoint_left.mp htu he hu⟩
lemma protected_avoids_used {V A : Type} (R P T : A → SimpleGraph V)
(hRR : Pairwise fun i j => Disjoint (R i).edgeSet (R j).edgeSet)
(hPR : ∀ i, P i ≤ R i) (hTR : ∀ i, T i ≤ R i)
(hTP : ∀ i, Disjoint (T i).edgeSet (P i).edgeSet)
(used : Set (Sym2 V)) (hu : used ⊆ ⋃ i, (P i).edgeSet) :
∀ i, Disjoint (T i).edgeSet used := by
intro i
apply Set.disjoint_left.mpr
intro e he heu
obtain ⟨j,hj⟩ := Set.mem_iUnion.mp (hu heu)
by_cases hij : i = j
· subst j; exact Set.disjoint_left.mp (hTP i) he hj
· exact Set.disjoint_left.mp (hRR hij) (SimpleGraph.edgeSet_mono (hTR i) he)
(SimpleGraph.edgeSet_mono (hPR j) hj)
lemma batch_remainder_ledger {V A K : Type} [Fintype V] [Fintype A] [Fintype K]
(G F : SimpleGraph V) (R : A → SimpleGraph V)
(hRG : ∀ i, R i ≤ G)
(hRR : Pairwise fun i j => Disjoint (R i).edgeSet (R j).edgeSet)
(hFR : ∀ i, Disjoint F.edgeSet (R i).edgeSet)
(hcover : F.edgeSet ∪ (⋃ i, (R i).edgeSet) = G.edgeSet)
(parts : K → Set (Sym2 V)) (hp : ∀ k, CycleOrSingleEdge G (parts k))
(hd : Pairwise fun j k => Disjoint (parts j) (parts k))
(used : Set (Sym2 V)) (hu : used ⊆ ⋃ i, (R i).edgeSet)
(hparts : (⋃ k, parts k) = F.edgeSet ∪ used) :
decompositionCost G ≤ Fintype.card K + ∑ i, decompositionCost (routerRemainder (R i) used) := by
apply decompositionCost_adjoin_same G parts hp hd (fun i => routerRemainder (R i) used)
(fun i => (routerRemainder_le _ _).trans (hRG i))
· intro i j hij
exact (hRR hij).mono (SimpleGraph.edgeSet_mono (routerRemainder_le _ _))
(SimpleGraph.edgeSet_mono (routerRemainder_le _ _))
· intro i k
rw [routerRemainder_edges]
apply Set.disjoint_left.mpr
intro e he hp
have hpe : e ∈ F.edgeSet ∪ used := hparts ▸ Set.mem_iUnion.mpr ⟨k,hp⟩
rcases hpe with hpe | hpe
· exact Set.disjoint_left.mp (hFR i) hpe he.1
· exact he.2 hpe
· rw [hparts,← hcover]
simp_rw [routerRemainder_edges]
ext e
simp only [Set.mem_union,Set.mem_iUnion,Set.mem_sdiff]
constructor
· rintro ((hf | hu') | ⟨i,hi,_⟩)
· exact Or.inl hf
· exact Or.inr (Set.mem_iUnion.mp (hu hu'))
· exact Or.inr ⟨i,hi⟩
· rintro (hf | ⟨i,hi⟩)
· exact Or.inl (Or.inl hf)
· by_cases he : e ∈ used
· exact Or.inl (Or.inr he)
· exact Or.inr ⟨i,hi,he⟩
lemma prepared_quotient_cost {V I : Type} [Fintype V] [Fintype I]
(J : SimpleGraph V) (X : I → Finset V) (hd : Pairwise fun i j => Disjoint (X i) (X j))
(p : PreparedBatch J X hd) (W : Finset V)
(hW : ∀ ⦃x y⦄, J.Adj x y → x ∈ W ∧ y ∈ W)
(hX : ∀ i, X i ⊆ W) (n : ℕ) (M t : ℝ) (_ht : 0 ≤ t) (hn : W.card < n) (hM : (W.card:ℝ) ≤ M)
(ih : ∀ (A : Type) [Fintype A] (H : SimpleGraph A), Fintype.card A < n → (Fintype.card A:ℝ) ≤ M →
(decompositionCost H:ℝ) ≤ t * Fintype.card A) :
∃ k, EdgeDecomposition p.quotient k ∧
(k:ℝ) ≤ t * ((W.card:ℝ) - ∑ i, ((X i).card / 2:ℕ)) := by
classical
let A := W.image (familyProject X hd p.pairing)
let H := p.quotient.induce (A:Set (FamilyQuotient X p.pairing))
have ho : A.card + ∑ i, (X i).card / 2 = W.card := family_quotient_image_order X hd p.pairing W hX
have hn' : Fintype.card (A:Set (FamilyQuotient X p.pairing)) < n := by simp only [Finset.coe_sort_coe,Fintype.card_coe]; omega
refine ⟨decompositionCost H,edgeDecomposition_on _ A (p.quotient_supported W hW) (decompositionCost_spec H),?_⟩
have hc := ih (A:Set (FamilyQuotient X p.pairing)) H hn' (by simp only [Finset.coe_sort_coe,Fintype.card_coe]; exact (Nat.cast_le.mpr (by omega : A.card ≤ W.card)).trans hM)
simp only [Finset.coe_sort_coe,Fintype.card_coe] at hc
have heq : (A.card:ℝ) = (W.card:ℝ) - ∑ i, ((X i).card / 2:ℕ) := by
have hh : (A.card:ℝ) + ∑ i, ((X i).card / 2:ℕ) = W.card := by exact_mod_cast ho
linarith
rwa [heq] at hc
end
end ErdosGallai.Batch
namespace ErdosGallai.Batch
noncomputable section
open Finset SimpleGraph Real
attribute [local instance] Classical.propDecidable
theorem uniform_coupled_resolution_cost : ∃ D₀ : ℝ, 1 < D₀ ∧ ∀ D ≥ D₀,
∀ (V A B : Type) [Fintype V] [Fintype A] [Fintype B],
∀ (G F : SimpleGraph V) (R : A → SimpleGraph V) (U : A → Finset V),
F ≤ G → (∀ r, R r ≤ G) →
Pairwise (fun r s => Disjoint (R r).edgeSet (R s).edgeSet) →
Pairwise (fun r s => Disjoint (U r) (U s)) →
(∀ r, ∀ ⦃x y⦄, (R r).Adj x y → x ∈ U r ∧ y ∈ U r) →
(∀ r, Disjoint F.edgeSet (R r).edgeSet) →
F.edgeSet ∪ (⋃ r, (R r).edgeSet) = G.edgeSet →
(∀ r, CutExpansionOn (R r) (U r) (D^(9/10:ℝ))) →
(∀ r, D^(9/10:ℝ) ≤ ((U r).card:ℝ) ∧ ((U r).card:ℝ) ≤ D^(51/50:ℝ)) →
∀ (J : B → SimpleGraph V) (W : B → Finset V),
(∀ b, J b ≤ F) → Pairwise (fun b c => Disjoint (J b).edgeSet (J c).edgeSet) →
(⋃ b, (J b).edgeSet) = F.edgeSet →
(∀ b, ∀ ⦃x y⦄, (J b).Adj x y → x ∈ W b ∧ y ∈ W b) →
(∀ b, ((W b).card:ℝ) ≤ D^(3/10:ℝ)) →
∀ (I : B → Type) [∀ b, Fintype (I b)] (X : ∀ b, I b → Finset V)
(_hXd : ∀ b, Pairwise fun i j => Disjoint (X b i) (X b j)),
(∀ b i, X b i ⊆ W b) →
∀ rX : ∀ b, I b → A,
(∀ b i, X b i ⊆ U (rX b i)) →
(∀ b i v, v ∈ X b i → (F.degree v:ℝ) ≤ D^(1/100:ℝ)) →
1 ≤ D^(1/100:ℝ) → (∀ b i, 8 ≤ (X b i).card) →
(∀ b i, (D^(1/100:ℝ))^2 ≤ (X b i).card) →
∀ (n : ℕ) (t : ℝ), 0 ≤ t → (∀ b, (W b).card < n) →
(∀ (Q : Type) [Fintype Q] (H : SimpleGraph Q), Fintype.card Q < n →
(Fintype.card Q:ℝ) ≤ D^(3/10:ℝ) → (decompositionCost H:ℝ) ≤ t * Fintype.card Q) →
∃ H : A → SimpleGraph V,
(∀ r, H r ≤ R r) ∧
(∀ r, CutExpansionOn (H r) (U r) (D^(9/10:ℝ)/4)) ∧
(decompositionCost G:ℝ) ≤
t * ((∑ b, ((W b).card:ℝ)) - ∑ b, ∑ i, ((X b i).card / 2:ℕ)) +
8 * (∑ b, ∑ i, ((X b i).card:ℝ)) + ∑ r, (decompositionCost (H r):ℝ) := by
obtain ⟨D₁,hsplit⟩ := uniform_two_routers_on
obtain ⟨D₂,hD₂,hresolve⟩ := uniform_batch_resolution
refine ⟨max D₁ D₂,lt_of_lt_of_le hD₂ (le_max_right _ _),?_⟩
intro D hD V A B _ _ _ G F R U hFG hRG hRR hUU hRU hFR hcover he hr
J W hJF hJJ hJu hW hWnum I _ X hXd hXW rX hXU hdeg ha hm hma n t ht hn ih
have hs (r : A) := hsplit D ((le_max_left _ _).trans hD) V (R r) (U r)
(hRU r) (hr r).1 (hr r).2 (he r)
choose P T hPR hTR hPT hPu hPe hTe using hs
have hPP : Pairwise fun r s => Disjoint (P r).edgeSet (P s).edgeSet :=
fun _ _ h => (hRR h).mono (SimpleGraph.edgeSet_mono (hPR _)) (SimpleGraph.edgeSet_mono (hPR _))
have hp (b : B) : Nonempty (PreparedBatch (J b) (X b) (hXd b)) :=
prepare_batch (J b) (X b) (hXd b) (D^(1/100:ℝ)) ha (hm b) (hma b)
(fun i v hv => (Nat.cast_le.mpr (SimpleGraph.degree_le_of_le (hJF b))).trans (hdeg b i v hv))
let prep (b : B) := Classical.choice (hp b)
have hq (b : B) := prepared_quotient_cost (J b) (X b) (hXd b) (prep b) (W b)
(hW b) (hXW b) n (D^(3/10:ℝ)) t ht (hn b) (hWnum b) ih
choose k hk hkc using hq
obtain ⟨K,hK,parts,used,hcount,hparts,hdis,hused,hFu,hpartscover⟩ :=
hresolve D ((le_max_right _ _).trans hD) V A B G F P U hFG
(fun r => (hPR r).trans (hRG r)) hPP hUU
(fun r => (hFR r).mono_right (SimpleGraph.edgeSet_mono (hPR r))) hPe hr
J W hJF hJJ hJu hW hWnum I X hXd hXW rX hXU hdeg prep k hk
let : Fintype K := hK
have husedR : used ⊆ ⋃ r, (R r).edgeSet := hused.trans (Set.iUnion_mono fun r => SimpleGraph.edgeSet_mono (hPR r))
have hTu := protected_avoids_used R P T hRR hPR hTR (fun r => (hPT r).symm) used hused
let H (r : A) := routerRemainder (R r) used
have hcost := batch_remainder_ledger G F R hRG hRR hFR hcover parts hparts hdis used husedR hpartscover
refine ⟨H,fun r => routerRemainder_le _ _,fun r => ?_,?_⟩
· exact cutExpansionOn_mono (hTe r) (protected_le_remainder (hTR r) (hTu r))
· have hkreal : (Fintype.card K:ℝ) ≤ (∑ b, (k b:ℝ)) + 8 * (∑ b, ∑ i, ((X b i).card:ℝ)) := by
exact_mod_cast hcount
have hqsum := Finset.sum_le_sum (s := univ) (fun b _ => hkc b)
have hqsum' : (∑ b, (k b:ℝ)) ≤
t * ((∑ b, ((W b).card:ℝ)) - ∑ b, ∑ i, ((X b i).card / 2:ℕ)) := by
simpa only [Finset.mul_sum,Finset.sum_sub_distrib,mul_sub,Nat.cast_sum] using hqsum
have hc : (decompositionCost G:ℝ) ≤ (Fintype.card K:ℝ) + ∑ r, (decompositionCost (H r):ℝ) := by
exact_mod_cast hcost
linarith
end
end ErdosGallai.Batch
end
end
end
end OAI