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Add lean source and binary files (part 47)
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import Mathlib
import OAI.Combinatorics.MatchingCount.Sampling.Sym2Order
namespace OAI
namespace MatchingFPRAS.Transport
open Finset Replica Replica.Ladder Variation
def discreteLadderSteps (N D K T m : ℕ) : ℕ :=
20*ladderL N D*ladderM N D T*(ladderLambda N D K T+Nat.clog 2 m+1)
lemma discreteLadderSteps_eq (N D K T m : ℕ) :
discreteLadderSteps N D K T m=ladderSteps N D K T ((m:ℝ)⁻¹) := by
simp only [discreteLadderSteps,ladderSteps,inv_inv]
rw [show (2:ℝ)=(2:ℕ) by norm_cast,Real.natCeil_logb_natCast]
variable {V L : Type*} [Fintype V] [LinearOrder V] [Fintype L] [LinearOrder L]
variable {bags : V → Finset L} {G : SimpleGraph L}
attribute [local instance] sym2Order bagEdgeOrder bagEdgeFintype UnitRefresh.Computable.allowedDec
noncomputable local instance : DecidableEq (BagPM bags) := Classical.decEq _
attribute [local instance] prodOrder sumOrder
variable (hbags : ∀ v,∀ a∈bags v,∀ b∈bags v,a=b ∨ G.Adj a b) (hG : G.IsAcyclic)
variable (rank : L → ℕ) (parent : L → Option L)
variable (hb : UnitRefresh.RankedBags bags rank parent) (hne : ∀ v,(bags v).Nonempty)
variable (hp : ∀ l p,parent l=some p → rank p<rank l)
def finiteLadder (D K T m : ℕ) (hq : 0<ladderQ (Fintype.card V) D)
(w : BagEdge bags → ℚ) (M : BagPM bags) (η : ℚ)
(s : Slot T (ladderQ (Fintype.card V) D) → BagPM bags) :
(Fin (discreteLadderSteps (Fintype.card V) D K T m * scanBitCount (Fintype.card V)
(bitPrecision (discreteLadderSteps (Fintype.card V) D K T m *
scanErrorNumerator V L bags T (ladderQ (Fintype.card V) D)) η)) → Bool) →
Slot T (ladderQ (Fintype.card V) D) → BagPM bags :=
ladderBitRun hbags hG rank parent hb hne hp hq w M
(bitPrecision (discreteLadderSteps (Fintype.card V) D K T m *
scanErrorNumerator V L bags T (ladderQ (Fintype.card V) D)) η)
(discreteLadderSteps (Fintype.card V) D K T m) s
lemma finiteLadder_tv (height : L → ℝ) (hheight : ∀ l,0<height l)
(hstep : ∀ a b,G.Adj a b → height a≤2*height b)
(D K : ℕ) (hD : 1≤D) (hN : 2≤Fintype.card V) (w : BagEdge bags → ℚ)
(hw : ∀ e,height e.color / D ≤ (w e:ℝ) ∧ (w e:ℝ)≤3*height e.color)
(hglobal : ∀ e,(D:ℝ)⁻¹≤(w e:ℝ) ∧ (w e:ℝ)≤3*4^K)
(M : BagPM bags) (T m : ℕ) (hm : 1 < m) (η : ℚ) (hη : 0<η)
(hq : 0<ladderQ (Fintype.card V) D)
(s : Slot T (ladderQ (Fintype.card V) D) → BagPM bags) :
tv (imageLaw (finiteLadder hbags hG rank parent hb hne hp D K T m hq w M η s))
(ladderLaw (fun e=>(w e:ℝ)) T (ladderQ (Fintype.card V) D)) ≤ (η:ℝ)+(m:ℝ)⁻¹ := by
have hm' : (1:ℝ)<(m:ℝ) := by exact_mod_cast hm
have hi:=ideal_ladder_sampling hbags hG height hheight hstep D K hD hN
(fun e=>(w e:ℝ)) hw hglobal M T s ((m:ℝ)⁻¹) (by positivity) (by exact inv_lt_one_of_one_lt₀ hm')
rw [←discreteLadderSteps_eq] at hi
have hb:=ladderBitRun_walk_tv hbags hG rank parent hb hne hp hq w M
(discreteLadderSteps (Fintype.card V) D K T m) η hη s
exact (tv_triangle _ _ _).trans (add_le_add hb hi)
end MatchingFPRAS.Transport
namespace MatchingFPRAS.BottleneckAlgorithm
open Finset MatchingFPRAS.Switching
variable {V : Type*} [Fintype V] [LinearOrder V]
variable {α : Type*} [LinearOrder α] [OfNat α 1]
def edge (w : V → V → α) (a b : V) : α := if a<b then w a b else w b a
def seed (w : V → V → α) (a b : V) : α := if a=b then 1 else max 1 (edge w a b)
def advance (w : V → V → α) (a b : V) : α :=
if a=b then 1 else max (w a b)
(univ.sup' ⟨a,mem_univ a⟩ fun c => min (w a c) (w c b))
def close (w : V → V → α) : ℕ → V → V → α
| 0 => seed w
| k+1 => advance (close w k)
@[simp] lemma close_diag (w : V → V → α) (k : ℕ) (a : V) : close w k a a=1 := by
cases k <;> simp [close,seed,advance]
lemma close_one (w : V → V → α) (k : ℕ) (a b : V) : 1≤close w k a b := by
induction k with
| zero =>
by_cases hab : a=b
· simp [close,seed,hab]
· simp [close,seed,hab]
| succ k ih =>
by_cases h : a=b
· subst b; simp
· exact ih.trans (by simp [close,advance,h])
lemma close_mono_step (w : V → V → α) (k : ℕ) (a b : V) :
close w k a b≤close w (k+1) a b := by
by_cases h : a=b
· subst b; simp
· simp [close,advance,h]
lemma close_mono (w : V → V → α) (a b : V) : Monotone (fun k=>close w k a b) :=
monotone_nat_of_le_succ (fun k=>close_mono_step w k a b)
lemma edge_le_close (w : V → V → α) (k : ℕ) (a b : V) (hab : a≠b) :
edge w a b≤close w k a b := by
have h : edge w a b≤close w 0 a b := by
simp [close,seed,hab]
exact h.trans (close_mono w a b (Nat.zero_le k))
lemma via_le_close (w : V → V → α) (k : ℕ) (a b c : V) (hab : a≠b) :
min (close w k a c) (close w k c b)≤close w (k+1) a b := by
exact (le_sup' (fun c=>min (close w k a c) (close w k c b)) (mem_univ c)).trans
(by simp [close,advance,hab])
lemma chain_le_close (w : V → V → α) (t : α) (a b : V) (L : List V)
(hab : a≠b) (hc : List.IsChain (fun x y=>t≤edge w x y) (a::L))
(hn : (a::L).Nodup) (hb : b∈L) : t≤close w L.length a b := by
induction L generalizing a with
| nil => simp at hb
| cons c cs ih =>
rcases List.isChain_cons_cons.mp hc with ⟨hac,hc⟩
have han := List.nodup_cons.mp hn
have hne : a≠c := by intro h; apply han.1; simp [h]
rcases List.mem_cons.mp hb with rfl|hb
· exact hac.trans (edge_le_close w _ _ _ hne)
· have hcb : c≠b := by
intro he
exact (List.nodup_cons.mp han.2).1 (he ▸ hb)
have hh := ih c hcb hc han.2 hb
change t≤close w (cs.length+1) a b
exact (le_min (hac.trans (edge_le_close w cs.length a c hne)) hh).trans
(via_le_close w cs.length a b c hab)
lemma close_le (w B : V → V → α) (_hdiag : ∀ a,B a a=1) (hone : ∀ a b,1≤B a b)
(hedge : ∀ a b,a≠b → edge w a b≤B a b)
(htri : ∀ a b c,a≠b → a≠c → b≠c → min (B a c) (B c b)≤B a b)
(k : ℕ) (a b : V) : close w k a b≤B a b := by
induction k generalizing a b with
| zero =>
by_cases hab : a=b
· subst b; simpa [close,seed] using hone a a
· simpa [close,seed,hab] using max_le (hone a b) (hedge a b hab)
| succ k ih =>
by_cases hab : a=b
· subst b; simpa using hone a a
· change (if a=b then 1 else _)≤_
rw [ite_eq_right hab]
apply max_le (ih a b)
apply sup'_le
intro c _
by_cases hac : a=c
· subst c
rw [close_diag]
exact (min_le_left _ _).trans (hone a b)
by_cases hbc : b=c
· subst c
rw [close_diag]
exact (min_le_right _ _).trans (hone a b)
exact (min_le_min (ih a c) (ih c b)).trans (htri a b c hab hac hbc)
theorem real_close_eq (w : V → V → ℝ) (a b : V) :
close w (Fintype.card V) a b=bottleneck w a b := by
apply le_antisymm
· exact close_le w (bottleneck w) (by intro a; simp [bottleneck])
(one_le_bottleneck w) (edgeActivity_le_bottleneck w) (bottleneck_ultrametric w) _ _ _
· by_cases hab : a=b
· subst b; simp [bottleneck]
by_cases ht : 1<bottleneck w a b
· obtain ⟨L,hL,hnd,hb⟩ := bottleneck_path w a b hab ht
have hlen := hnd.length_le_card
have h := chain_le_close w (bottleneck w a b) a b L hab hL hnd hb
exact h.trans (close_mono w a b (by simpa using (show L.length≤Fintype.card V from by simpa using (Nat.le_of_succ_le hlen))))
· exact (le_of_not_gt ht).trans (close_one w _ _ _)
lemma cast_close (w : V → V → ℚ) (k : ℕ) (a b : V) :
((close w k a b : ℚ) : ℝ)=close (fun x y => (w x y : ℝ)) k a b := by
induction k generalizing a b with
| zero =>
unfold close seed edge
split_ifs <;> simp [Rat.cast_max]
| succ k ih =>
simp only [close,advance]
split_ifs with hab
· simp
· have hh := Finset.apply_sup'_eq_sup'_comp (s:=(univ:Finset V))
(f:=fun c=>min (close w k a c) (close w k c b)) ⟨a,mem_univ a⟩
(fun x : ℚ => (x : ℝ)) (by intro x y; exact Rat.cast_max x y)
rw [Rat.cast_max]
apply congrArg₂ max (ih a b)
calc
_ = _ := hh
_ = _ := by
apply Finset.sup'_congr _ rfl
intro c _
simp [Rat.cast_min,ih]
theorem rational_close_eq (w : V → V → ℚ) (a b : V) :
((close w (Fintype.card V) a b : ℚ) : ℝ)=bottleneck (fun x y=>(w x y:ℝ)) a b := by
rw [cast_close,real_close_eq]
end MatchingFPRAS.BottleneckAlgorithm
end OAI