roseking's picture
Add lean source and binary files (part 47)
e5a97c6 verified
Raw History Blame Contribute Delete
20.4 kB
import Mathlib
import OAI.Combinatorics.MatchingCount.Machines.TreePairProposal
import OAI.Combinatorics.MatchingCount.Graphs.PushedFlow
namespace OAI
namespace MatchingFPRAS.FiniteChain
open Finset MatchingFPRAS.Replica
variable {Ω : Type*} [Fintype Ω] [DecidableEq Ω]
noncomputable def evolve (π : Ω → ℝ) (C : Ω → Ω → ℝ) : ℕ → (Ω → ℝ) → (Ω → ℝ)
| 0, f => f
| n+1, f => stepDensity π C (evolve π C n f)
omit [DecidableEq Ω] in
lemma evolve_mean (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (C : Ω → Ω → ℝ)
(hrow : ∀ a, ∑ b, C a b = π a) (n : ℕ) (f : Ω → ℝ) :
massMean π (evolve π C n f) = massMean π f := by
induction n with
| zero => rfl
| succ n ih => rw [evolve,stepDensity_mean π hp C hrow,ih]
omit [DecidableEq Ω] in
lemma evolve_center (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (C : Ω → Ω → ℝ)
(hcol : ∀ b, ∑ a, C a b = π b) (n : ℕ) (f : Ω → ℝ) :
evolve π C n (fun a => f a-1) = fun a => evolve π C n f a-1 := by
induction n with
| zero => rfl
| succ n ih =>
simp only [evolve,ih]
have he : (fun a => evolve π C n f a-1) = fun a => 1*evolve π C n f a+(-1)*(1:ℝ) := by funext a; ring
rw [he,stepDensity_linear,stepDensity_one π hp C hcol]
funext a; ring
lemma lazy_decay (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (C : Ω → Ω → ℝ)
(hC : ∀ a b, 0 ≤ C a b) (hrow : ∀ a, ∑ b, C a b = π a)
(hcol : ∀ b, ∑ a, C a b = π b) (hlazy : ∀ a, π a/2 ≤ C a a)
(γ : ℝ) (hγ : γ ≤ 1)
(hgap : ∀ f, massMean π f = 0 → γ*sqNorm π f ≤ localEnergy C f)
(f : Ω → ℝ) (hf : massMean π f = 0) (n : ℕ) :
sqNorm π (evolve π C n f) ≤ (1-γ)^n*sqNorm π f := by
induction n with
| zero => simp [evolve]
| succ n ih =>
have hm : massMean π (evolve π C n f) = 0 := (evolve_mean π hp C hrow n f).trans hf
have hl := lazy_l2 π hp C hC hrow hcol hlazy (evolve π C n f)
have hg := hgap (evolve π C n f) hm
have hh := mul_le_mul_of_nonneg_left ih (sub_nonneg.mpr hγ)
rw [evolve,pow_succ]
nlinarith
noncomputable def deltaDensity (π : Ω → ℝ) (z a : Ω) : ℝ := if a=z then (π z)⁻¹ else 0
lemma deltaDensity_mean (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (z : Ω) :
massMean π (deltaDensity π z) = 1 := by
simp [massMean,deltaDensity,mul_ite,ne_of_gt (hp z)]
omit [DecidableEq Ω] in
lemma sqNorm_center (π f : Ω → ℝ) (hs : ∑ a, π a = 1) :
sqNorm π (fun a => f a-1) = sqNorm π f-2*massMean π f+1 := by
have he (a : Ω) : π a*(f a-1)^2 = π a*(f a)^2-2*(π a*f a)+π a := by ring
simp only [sqNorm,massMean,he,Finset.sum_add_distrib,Finset.sum_sub_distrib,← Finset.mul_sum,hs]
lemma deltaDensity_sqNorm (π : Ω → ℝ) (_hp : ∀ a, 0 < π a) (z : Ω) :
sqNorm π (deltaDensity π z) = (π z)⁻¹ := by
simp only [sqNorm,deltaDensity,ite_pow,zero_pow (by decide : (2:ℕ) ≠ 0),mul_ite,mul_zero,
Finset.sum_ite_eq',Finset.mem_univ,ite_true]
field_simp
lemma deltaDensity_center_norm (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (hs : ∑ a, π a = 1) (z : Ω) :
sqNorm π (fun a => deltaDensity π z a-1) = (π z)⁻¹-1 := by
rw [sqNorm_center π _ hs,deltaDensity_sqNorm π hp,deltaDensity_mean π hp]
ring
omit [DecidableEq Ω] in
lemma abs_sum_sq_le (π f : Ω → ℝ) (hp : ∀ a, 0 ≤ π a) (hs : ∑ a, π a = 1) :
(∑ a, |π a*f a|)^2 ≤ sqNorm π f := by
have hh := square_average π hp hs (fun a => |f a|)
simpa only [abs_mul,abs_of_nonneg (hp _),sq_abs,sqNorm] using hh
noncomputable def kernel (π : Ω → ℝ) (C : Ω → Ω → ℝ) (a b : Ω) : ℝ := C a b/π a
noncomputable def walk (π : Ω → ℝ) (C : Ω → Ω → ℝ) (z : Ω) : ℕ → Ω → ℝ
| 0, a => if a=z then 1 else 0
| n+1, b => ∑ a, walk π C z n a*kernel π C a b
lemma walk_density (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (C : Ω → Ω → ℝ) (z : Ω) (n : ℕ) (a : Ω) :
walk π C z n a = π a*evolve π C n (deltaDensity π z) a := by
induction n generalizing a with
| zero =>
by_cases h : a=z
· subst a; simp [walk,evolve,deltaDensity,ne_of_gt (hp z)]
· simp [walk,evolve,deltaDensity,h]
| succ n ih =>
simp only [walk,ih,kernel,evolve,stepDensity,mul_div_cancel₀ _ (ne_of_gt (hp a))]
apply Finset.sum_congr rfl
intro b _
field_simp [ne_of_gt (hp b)]
lemma meeting_bound (π : Ω → ℝ) (hp : ∀ a, 0 < π a) (hs : ∑ a, π a = 1)
(C : Ω → Ω → ℝ) (hC : ∀ a b, 0 ≤ C a b)
(hrow : ∀ a, ∑ b, C a b = π a) (hcol : ∀ b, ∑ a, C a b = π b)
(hlazy : ∀ a, π a/2 ≤ C a a) (γ : ℝ) (hγ : γ ≤ 1)
(hgap : ∀ f, massMean π f = 0 → γ*sqNorm π f ≤ localEnergy C f)
(z : Ω) (n : ℕ) :
(∑ a, |walk π C z n a-π a|)^2 ≤ (1-γ)^n*((π z)⁻¹-1) := by
let f : Ω → ℝ := fun a => deltaDensity π z a-1
have hf : massMean π f = 0 := by
simp only [f,massMean,mul_sub,mul_one,Finset.sum_sub_distrib,hs]
change massMean π (deltaDensity π z)-1=0
rw [deltaDensity_mean π hp]; ring
have hb := lazy_decay π hp C hC hrow hcol hlazy γ hγ hgap f hf n
have ha := abs_sum_sq_le π (evolve π C n f) (fun a => (hp a).le) hs
have he : (fun a => π a*evolve π C n f a) = fun a => walk π C z n a-π a := by
funext a
dsimp only [f]
rw [evolve_center π hp C hcol,walk_density π hp C z n]
ring
have hh : (∑ a, |π a*evolve π C n f a|) = ∑ a, |walk π C z n a-π a| := by
exact congrArg (fun g : Ω → ℝ => ∑ a, |g a|) he
rw [hh] at ha
have hn : sqNorm π f = (π z)⁻¹-1 := deltaDensity_center_norm π hp hs z
rw [hn] at hb
exact ha.trans hb
end MatchingFPRAS.FiniteChain
namespace MatchingFPRAS.Transport
section
open Finset MatchingFPRAS.Replica MatchingFPRAS.Replica.Ladder
variable {V J : Type*} [Fintype V] [DecidableEq V] [Fintype J] [DecidableEq J]
variable {bags : V → Finset J} {G : SimpleGraph J}
noncomputable local instance : Fintype (BagEdge bags) := Fintype.ofFinite _
noncomputable local instance : DecidableEq (PM (BagEdge.Incident (bags := bags))) := Classical.decEq _
noncomputable def ladderLaw (w : BagEdge bags → ℝ) (T q : ℕ) :
(Slot T q → PM (BagEdge.Incident (bags := bags))) → ℝ := density (slotLaw w)
noncomputable def ladderFlow
(hbags : ∀ v, ∀ a ∈ bags v, ∀ b ∈ bags v, a = b ∨ G.Adj a b)
(hG : G.IsAcyclic) (w : BagEdge bags → ℝ) (T q : ℕ) :
(Slot T q → PM (BagEdge.Incident (bags := bags))) →
(Slot T q → PM (BagEdge.Incident (bags := bags))) → ℝ :=
scanFlow (slotLaw w) guides (base T q) (treeLadderCapacity hbags hG w)
noncomputable local instance : Fintype (BagEdge bags) := Fintype.ofFinite _
noncomputable local instance : DecidableEq (PM (BagEdge.Incident (bags := bags))) := Classical.decEq _
variable {hbags : ∀ v, ∀ a ∈ bags v, ∀ b ∈ bags v, a = b ∨ G.Adj a b}
variable {hG : G.IsAcyclic}
variable (height : J → ℝ) (hheight : ∀ l, 0 < height l)
variable (hstep : ∀ a b, G.Adj a b → height a ≤ 2 * height b)
variable (D : ℕ) (hD : 1 ≤ D) (w : BagEdge bags → ℝ)
variable (hw : ∀ e, height e.color / D ≤ w e ∧ w e ≤ 3 * height e.color)
include hheight hstep hD hw hbags hG
theorem concrete_ladder_mixing (hN : 2 ≤ Fintype.card V)
(M₀ : PM (BagEdge.Incident (bags := bags))) (T : ℕ)
(z : Slot T (32*(10^4*Fintype.card V*D)^100) → PM (BagEdge.Incident (bags := bags)))
(n : ℕ) :
let q := 32*(10^4*Fintype.card V*D)^100
let ν := ladderLaw w T q
let C := ladderFlow hbags hG w T q
(∑ s, |MatchingFPRAS.FiniteChain.walk ν C z n s-ν s|)^2 ≤
(1-3/((8*(T*q^2+q):ℕ):ℝ))^n*((ν z)⁻¹-1) := by
classical
dsimp only
let q : ℕ := 32*(10^4*Fintype.card V*D)^100
let ν := ladderLaw w T q
let C := ladderFlow hbags hG w T q
have hq : 0 < q := by
have hV : 0 < Fintype.card V := lt_of_lt_of_le (by norm_num) hN
have hd : 0 < D := lt_of_lt_of_le (by norm_num) hD
dsimp [q]; positivity
have hM : 0 < ((8*(T*q^2+q):ℕ):ℝ) := by exact_mod_cast (by omega : 0 < 8*(T*q^2+q))
have hp (s) : 0 < ν s := by
apply Finset.prod_pos; intro i _; exact slotLaw_pos w i (s i)
have hs : (∑ s, ν s) = 1 := density_sum (slotLaw w) (fun i => slotLaw_sum w i M₀)
have hbase : (base T q).Nonempty := Finset.card_pos.mp (by rw [base_card]; exact hq)
have hC (s t) : 0 ≤ C s t := scanFlow_nonneg (slotLaw w) (fun i a => (slotLaw_pos w i a).le)
guides (base T q) (treeLadderCapacity hbags hG w) s t
have hrow (s) : (∑ t, C s t) = ν s := scanFlow_row (slotLaw w) (fun i => slotLaw_sum w i M₀)
guides (base T q) hbase (treeLadderCapacity hbags hG w) s
have hcol (t) : (∑ s, C s t) = ν t := scanFlow_col (slotLaw w) (fun i => slotLaw_sum w i M₀)
guides (base T q) hbase (treeLadderCapacity hbags hG w) t
have hlazy (s) : ν s/2 ≤ C s s := scanFlow_lazy (slotLaw w) (fun i a => (slotLaw_pos w i a).le)
guides (base T q) (treeLadderCapacity hbags hG w) s
have hγ : 3/((8*(T*q^2+q):ℕ):ℝ) ≤ 1 := by
apply (div_le_one hM).mpr
exact_mod_cast (by omega : 3 ≤ 8*(T*q^2+q))
have hgap (f) (hf : MatchingFPRAS.FiniteChain.massMean ν f = 0) :
(3/((8*(T*q^2+q):ℕ):ℝ))*MatchingFPRAS.FiniteChain.sqNorm ν f ≤ localEnergy C f := by
have hh := concrete_ladder_poincare (hbags := hbags) (hG := hG) height hheight hstep D hD w hw hN M₀ T f
dsimp only at hh
have hv : MatchingFPRAS.Replica.variance (slotLaw w) f = MatchingFPRAS.FiniteChain.sqNorm ν f := by
have hm : MatchingFPRAS.Replica.mean (slotLaw w) f = 0 := hf
unfold MatchingFPRAS.Replica.variance MatchingFPRAS.Replica.dot
simp only [hm,Pi.sub_apply,sub_zero]
unfold MatchingFPRAS.FiniteChain.sqNorm
apply Finset.sum_congr rfl
intro s _; change ν s*f s*f s=ν s*(f s)^2; ring
rw [hv] at hh
have he : localEnergy C f = scanEnergy (slotLaw w) guides (base T q) (treeLadderCapacity hbags hG w) f :=
scanFlow_energy (slotLaw w) (fun i => slotLaw_sum w i M₀) guides (base T q) (treeLadderCapacity hbags hG w) f
rw [← he] at hh
change MatchingFPRAS.FiniteChain.sqNorm ν f ≤ ((8*(T*q^2+q):ℕ):ℝ)/3*localEnergy C f at hh
rw [div_mul_eq_mul_div]
apply (div_le_iff₀ hM).mpr
linarith
exact MatchingFPRAS.FiniteChain.meeting_bound ν hp hs C hC hrow hcol hlazy
(3/((8*(T*q^2+q):ℕ):ℝ)) hγ hgap z n
end
section
open Finset
variable {V E : Type*} [Fintype V] [DecidableEq V] [Fintype E] [DecidableEq E]
variable {inc : E → V → Prop}
noncomputable def chosenEdge (A : PM inc) (v : V) : E :=
Classical.choose (A.property.2 v (mem_univ v))
omit [DecidableEq V] [Fintype E] [DecidableEq E] in
lemma chosenEdge_mem (A : PM inc) (v : V) : chosenEdge A v ∈ A.val :=
(Classical.choose_spec (A.property.2 v (mem_univ v))).1.1
omit [DecidableEq V] [Fintype E] [DecidableEq E] in
lemma chosenEdge_incident (A : PM inc) (v : V) : inc (chosenEdge A v) v :=
(Classical.choose_spec (A.property.2 v (mem_univ v))).1.2
omit [DecidableEq V] [Fintype E] [DecidableEq E] in
lemma chosenEdge_injective (hinc : ∀ e, ∃ v, inc e v) :
Function.Injective (chosenEdge (inc := inc)) := by
intro A B h
apply Subtype.ext; ext e
have hh (A B : PM inc) (h : chosenEdge A = chosenEdge B) : e ∈ A.val → e ∈ B.val := by
intro he
obtain ⟨v,hv⟩ := hinc e
have heq : e = chosenEdge A v := A.property.unique (mem_univ v) he hv
(chosenEdge_mem A v) (chosenEdge_incident A v)
rw [heq,congrFun h v]
exact chosenEdge_mem B v
exact ⟨hh A B h,hh B A h.symm⟩
omit [DecidableEq E] in
lemma pm_card_le (hinc : ∀ e, ∃ v, inc e v) :
Fintype.card (PM inc) ≤ Fintype.card E ^ Fintype.card V := by
classical
simpa only [Fintype.card_fun] using Fintype.card_le_of_injective chosenEdge (chosenEdge_injective hinc)
omit [DecidableEq V] [DecidableEq E] in
lemma gibbs_mass_lower (hinc : ∀ e, ∃ v, inc e v) (w : E → ℝ)
(D B : ℝ) (hD : 1 ≤ D) (hB : 1 ≤ B)
(hw : ∀ e, D⁻¹ ≤ w e ∧ w e ≤ B) (A : PM inc) :
(Fintype.card (PM inc)*(D*B)^Fintype.card V)⁻¹ ≤ gibbs w A := by
classical
have hD0 : 0 < D := by linarith
have hB0 : 0 < B := by linarith
have hw0 : ∀ e, 0 < w e := fun e => (inv_pos.mpr hD0).trans_le (hw e).1
have lower (M : PM inc) : (D^Fintype.card V)⁻¹ ≤ matchingWeight w M := by
have hh : (D⁻¹)^M.val.card ≤ matchingWeight w M := by
simpa only [matchingWeight,Finset.prod_const] using Finset.prod_le_prod₀
(fun e (_ : e ∈ M.val) => (inv_pos.mpr hD0).le) (fun e _ => (hw e).1)
rw [inv_pow] at hh
exact (inv_anti₀ (pow_pos hD0 _) (pow_le_pow_right₀ hD (PM.card_le_vertices hinc M))).trans hh
have upper (M : PM inc) : matchingWeight w M ≤ B^Fintype.card V := by
have hh : matchingWeight w M ≤ B^M.val.card := by
simpa only [matchingWeight,Finset.prod_const] using Finset.prod_le_prod₀
(fun e (_ : e ∈ M.val) => (hw0 e).le) (fun e _ => (hw e).2)
exact hh.trans (pow_le_pow_right₀ hB (PM.card_le_vertices hinc M))
have hc : 0 < (Fintype.card (PM inc):ℝ) := by
have : Nonempty (PM inc) := ⟨A⟩
exact_mod_cast Fintype.card_pos
have hz : partition (inc := inc) w ≤ Fintype.card (PM inc)*B^Fintype.card V := by
have he : partition (inc := inc) w = ∑ M : PM inc, matchingWeight w M := by
unfold partition
congr
exact Subsingleton.elim _ _
rw [he]
calc
_ ≤ ∑ _M : PM inc, B^Fintype.card V := Finset.sum_le_sum (fun M _ => upper M)
_ = _ := by simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul]
have hp := partition_pos w hw0 A
have hden : 0 < (Fintype.card (PM inc):ℝ)*B^Fintype.card V := mul_pos hc (pow_pos hB0 _)
calc
_ = (D^Fintype.card V)⁻¹/(Fintype.card (PM inc)*B^Fintype.card V) := by
rw [mul_pow]; field_simp
_ ≤ matchingWeight w A/partition (inc := inc) w :=
div_le_div₀ (matchingWeight_pos w hw0 A).le (lower A) hp hz
_ = _ := rfl
end
section
open Finset MatchingFPRAS.Replica MatchingFPRAS.Replica.Ladder
variable {V J : Type*} [Fintype V] [DecidableEq V] [Fintype J] [DecidableEq J]
variable {bags : V → Finset J} {G : SimpleGraph J}
noncomputable local instance : Fintype (BagEdge bags) := Fintype.ofFinite _
lemma tierClamp_range {c lo hi w : ℝ} (hc : 1 ≤ c) (hlo : lo ≤ 1) (hhi : 1 ≤ hi)
(hw : lo ≤ w ∧ w ≤ hi) (t : ℕ) : lo ≤ tierClamp c t w ∧ tierClamp c t w ≤ hi := by
have hp : 1 ≤ c^t := one_le_pow₀ hc
have hip : (c^t)⁻¹ ≤ 1 := inv_le_one_of_one_le₀ hp
constructor
· exact le_trans (le_min (hlo.trans hp) hw.1) (le_max_right _ _)
· exact max_le (hip.trans hhi) ((min_le_right _ _).trans hw.2)
omit [DecidableEq V] [Fintype J] [DecidableEq J] in
lemma slotWeight_range (D K : ℕ) (hD : 1 ≤ D) (w : BagEdge bags → ℝ)
(hw : ∀ e, (D:ℝ)⁻¹ ≤ w e ∧ w e ≤ 3*4^K) {T q : ℕ} (x : Slot T q) (e : BagEdge bags) :
(D:ℝ)⁻¹ ≤ slotWeight w x e ∧ slotWeight w x e ≤ 3*4^K := by
apply tierClamp_range
· unfold tierBase; exact le_add_of_nonneg_right (by positivity)
· apply inv_le_one_of_one_le₀; exact_mod_cast hD
· have h : (1:ℝ) ≤ 4^K := one_le_pow₀ (by norm_num)
linarith
· exact hw e
omit [DecidableEq J] in
lemma bag_pm_card_le
(hbags : ∀ v, ∀ a ∈ bags v, ∀ b ∈ bags v, a = b ∨ G.Adj a b)
(hG : G.IsAcyclic) :
Fintype.card (PM (BagEdge.Incident (bags := bags))) ≤ (2*Fintype.card V^2)^Fintype.card V := by
apply (pm_card_le BagEdge.exists_incident).trans
exact Nat.pow_le_pow_left (bag_edges_card_le hbags hG) _
lemma denominator_power_bound (N D K : ℕ) (hN : 2 ≤ N) (hD : 1 ≤ D) :
((2*(N:ℝ)^2)^N)*((D:ℝ)*(3*4^K))^N ≤
(2:ℝ)^(10*N*(K+Nat.clog 2 (N*D+2)+1)) := by
let a := Nat.clog 2 (N*D+2)
have hp : (N*D+2:ℝ) ≤ (2:ℝ)^a := by exact_mod_cast Nat.le_pow_clog (by decide : 1 < 2) (N*D+2)
have hn : (N:ℝ) ≤ 2^a := by
have hd : (1:ℝ) ≤ D := by exact_mod_cast hD
have hn0 : (0:ℝ) ≤ N := Nat.cast_nonneg N
have hnd : (N:ℝ) ≤ N*D := by nlinarith
exact hnd.trans (le_trans (by linarith) hp)
have hd : (D:ℝ) ≤ 2^a := by
have hn2 : (2:ℝ) ≤ N := by exact_mod_cast hN
have hd0 : (0:ℝ) ≤ D := Nat.cast_nonneg D
have hnd : (D:ℝ) ≤ N*D := by nlinarith
exact hnd.trans (le_trans (by linarith) hp)
have hfour : (4:ℝ)^K = 2^(2*K) := by rw [pow_mul]; norm_num
have hb : 2*(N:ℝ)^2*((D:ℝ)*(3*4^K)) ≤ 2^(3+3*a+2*K) := by
calc
_ ≤ 2*(2^a)^2*((2^a)*(3*4^K)) := mul_le_mul
(mul_le_mul_of_nonneg_left (pow_le_pow_left₀ (Nat.cast_nonneg N) hn 2) (by norm_num))
(mul_le_mul_of_nonneg_right hd (by positivity)) (by positivity) (by positivity)
_ ≤ 2*(2^a)^2*((2^a)*(4*4^K)) := by
apply mul_le_mul_of_nonneg_left _ (by positivity)
apply mul_le_mul_of_nonneg_left _ (by positivity)
exact mul_le_mul_of_nonneg_right (by norm_num : (3:ℝ) ≤ 4) (by positivity)
_ = _ := by
rw [hfour]
calc
_ = (2:ℝ)^3*2^(a*2)*2^a*2^(2*K) := by rw [pow_mul]; norm_num; ring
_ = _ := by simp only [← pow_add]; congr 1; omega
calc
_ = (2*(N:ℝ)^2*((D:ℝ)*(3*4^K)))^N := (mul_pow _ _ _).symm
_ ≤ (2^(3+3*a+2*K))^N := pow_le_pow_left₀ (by positivity) hb N
_ = (2:ℝ)^((3+3*a+2*K)*N) := (pow_mul _ _ _).symm
_ ≤ _ := pow_le_pow_right₀ (by norm_num) (by dsimp only [a]; nlinarith)
end
open Finset MatchingFPRAS.Replica MatchingFPRAS.Replica.Ladder
variable {V J : Type*} [Fintype V] [DecidableEq V] [Fintype J] [DecidableEq J]
variable {bags : V → Finset J} {G : SimpleGraph J}
noncomputable local instance : Fintype (BagEdge bags) := Fintype.ofFinite _
omit [DecidableEq J] in
lemma slotLaw_minimum_mass
(hbags : ∀ v, ∀ a ∈ bags v, ∀ b ∈ bags v, a = b ∨ G.Adj a b)
(hG : G.IsAcyclic) (D K : ℕ) (hD : 1 ≤ D) (hN : 2 ≤ Fintype.card V)
(w : BagEdge bags → ℝ) (hw : ∀ e, (D:ℝ)⁻¹ ≤ w e ∧ w e ≤ 3*4^K)
{T q : ℕ} (x : Slot T q) (A : PM (BagEdge.Incident (bags := bags))) :
((2:ℝ)^(10*Fintype.card V*(K+Nat.clog 2 (Fintype.card V*D+2)+1)))⁻¹ ≤ slotLaw w x A := by
have hl := gibbs_mass_lower BagEdge.exists_incident (slotWeight w x) D (3*4^K)
(by exact_mod_cast hD) (by
have hh : (1:ℝ) ≤ 4^K := one_le_pow₀ (by norm_num)
linarith)
(slotWeight_range D K hD w hw x) A
have hc : (Fintype.card (PM (BagEdge.Incident (bags := bags))):ℝ) ≤
(2*Fintype.card V^2:ℝ)^Fintype.card V := by exact_mod_cast bag_pm_card_le hbags hG
have hd := (mul_le_mul_of_nonneg_right hc (by positivity : (0:ℝ) ≤ ((D:ℝ)*(3*4^K))^Fintype.card V)).trans
(denominator_power_bound (Fintype.card V) D K hN hD)
have hp : 0 < (Fintype.card (PM (BagEdge.Incident (bags := bags))):ℝ)*
((D:ℝ)*(3*4^K))^Fintype.card V := by
have : Nonempty (PM (BagEdge.Incident (bags := bags))) := ⟨A⟩
have hc0 : (0:ℝ) < Fintype.card (PM (BagEdge.Incident (bags := bags))) := by exact_mod_cast Fintype.card_pos
have hd0 : (0:ℝ) < D := by exact_mod_cast (by omega : 0 < D)
positivity
exact (inv_anti₀ hp hd).trans hl
omit [DecidableEq J] in
lemma ladderLaw_power_lower
(hbags : ∀ v, ∀ a ∈ bags v, ∀ b ∈ bags v, a = b ∨ G.Adj a b)
(hG : G.IsAcyclic) (D K : ℕ) (hD : 1 ≤ D) (hN : 2 ≤ Fintype.card V)
(w : BagEdge bags → ℝ) (hw : ∀ e, (D:ℝ)⁻¹ ≤ w e ∧ w e ≤ 3*4^K) (T q : ℕ)
(z : Slot T q → PM (BagEdge.Incident (bags := bags))) :
((2:ℝ)^(10*Fintype.card V*q*(T+1)*(K+Nat.clog 2 (Fintype.card V*D+2)+1)))⁻¹ ≤ ladderLaw w T q z := by
have hh := Finset.prod_le_prod₀ (s := Finset.univ)
(fun (x : Slot T q) _ => (by positivity : (0:ℝ) ≤ ((2:ℝ)^(10*Fintype.card V*(K+Nat.clog 2 (Fintype.card V*D+2)+1)))⁻¹))
(fun x _ => slotLaw_minimum_mass hbags hG D K hD hN w hw x (z x))
simp only [prod_const,card_univ,slots_card,← inv_pow,← pow_mul] at hh
have he : 10*Fintype.card V*(K+Nat.clog 2 (Fintype.card V*D+2)+1)*((T+1)*q) =
10*Fintype.card V*q*(T+1)*(K+Nat.clog 2 (Fintype.card V*D+2)+1) := by ring
rw [he] at hh
simpa only [inv_pow,ladderLaw,density] using hh
end MatchingFPRAS.Transport
end OAI