openAI-math-dataset / lean /OAI /Probability /SATVariance /LifetimePotential.lean
roseking's picture
Add lean source and binary files (part 127)
135052a verified
Raw History Blame Contribute Delete
19.4 kB
import OAI.Probability.SATVariance.OccupationBounds
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory
namespace RandomKSAT
open scoped Classical ENNReal
lemma favg_tsum.{u_1} {α : Type u_1} [Fintype α] (f : α → ℕ → ℝ)
(hf : ∀ a, Summable (f a)) :
favg (fun a => ∑' m, f a m) = ∑' m, favg (fun a => f a m) := by
unfold favg
rw [← Summable.tsum_finsetSum (fun a _ => hf a), tsum_div_const]
lemma lifetime_mono {u s : ℕ} (hsu : s ≤ u) {S T : Finset (Assignment u)} (hST : S ⊆ T) :
lifetime u s S ≤ lifetime u s T := by
exact Summable.tsum_le_tsum (survival_mono hST) (survival_summable hsu S)
(survival_summable hsu T)
lemma lifetime_bellman {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) :
lifetime u s S = alive u S + clauseStep u s (lifetime u s) S := by
unfold clauseStep
simp_rw [lifetime]
rw [favg_tsum _ (fun _ => survival_summable hsu _)]
have hs := survival_summable hsu S
rw [tsum_eq_zero_add' (hs.comp_injective (fun _ _ h => Nat.add_right_cancel h))]
congr 1
congr 1
funext m
change (clauseStep u s)^[m+1] (alive u) S = _
rw [Function.iterate_succ_apply']
rfl
lemma alive_le_lifetime {u s : ℕ} (hsu : s ≤ u) (S : Finset (Assignment u)) :
alive u S ≤ lifetime u s S := by
rw [lifetime_bellman hsu]
exact le_add_of_nonneg_right (favg_nonneg fun _ => lifetime_nonneg _ _ _)
def markovSum.{u_1} {X : Type u_1} (P : ℕ → (X → ℝ) → X → ℝ) (f : X → ℝ) : ℕ → X → ℝ
| 0 => fun _ => 0
| m+1 => fun x => f x + P 0 (markovSum (fun i => P (i+1)) f m) x
lemma markovSum_mono.{u_1} {X : Type u_1} (P : ℕ → (X → ℝ) → X → ℝ)
(hP : ∀ i, Monotone (P i)) {f g : X → ℝ} (hfg : f ≤ g) (m : ℕ) :
markovSum P f m ≤ markovSum P g m := by
induction m generalizing P with
| zero => exact le_rfl
| succ m ih =>
intro x
exact add_le_add (hfg x) (hP 0 (ih _ (fun i => hP (i+1))) x)
lemma markovSum_potential.{u_1} {X : Type u_1} (P : ℕ → (X → ℝ) → X → ℝ)
(hP : ∀ i, Monotone (P i))
(hPc : ∀ i f c, P i (fun x => f x+c) = fun x => P i f x+c)
(f τ : X → ℝ) (hτ : ∀ x, 0 ≤ τ x) (z : ℕ → ℝ)
(hdrift : ∀ i x, f x + P i τ x ≤ τ x + z i) (m : ℕ) (x : X) :
markovSum P f m x ≤ τ x + ∑ i ∈ Finset.range m, z i := by
induction m generalizing P z x with
| zero => simpa [markovSum] using hτ x
| succ m ih =>
have hi := hP 0 (fun y => ih (fun i => P (i+1)) (fun i => hP (i+1))
(fun i => hPc (i+1)) (fun i => z (i+1)) (fun i => hdrift (i+1)) y)
rw [hPc] at hi
calc
markovSum P f (m+1) x ≤ f x +
(P 0 τ x + ∑ i ∈ Finset.range m, z (i+1)) := by
change f x + P 0 (markovSum (fun i => P (i+1)) f m) x ≤ _
linarith [hi x]
_ ≤ τ x + z 0 + ∑ i ∈ Finset.range m, z (i+1) := by linarith [hdrift 0 x]
_ = _ := by rw [Finset.sum_range_succ']; ring
lemma markovSum_level.{u_1} {X : Type u_1} (P : ℕ → (X → ℝ) → X → ℝ)
(hP : ∀ i, Monotone (P i))
(hPc : ∀ i f c, P i (fun x => f x+c) = fun x => P i f x+c)
(hPconst : ∀ i c, P i (fun _ => c) = fun _ => c)
(f τ : X → ℝ) (hτ : ∀ x, 0 ≤ τ x) (z : ℕ → ℝ) (hz : ∀ i, 0 ≤ z i)
(hdrift : ∀ i x, f x + P i τ x ≤ τ x + z i)
(e : X → ℝ) (hef : e ≤ f) {C : ℝ} (hC : 0 ≤ C)
(hlevel : ∀ x, e x ≠ 0 → τ x ≤ C) (m : ℕ) (x : X) :
markovSum P e m x ≤ C + ∑ i ∈ Finset.range m, z i := by
induction m generalizing P z x with
| zero => simpa [markovSum] using hC
| succ m ih =>
by_cases he : e x = 0
· have hi := hP 0 (fun y => ih (fun i => P (i+1)) (fun i => hP (i+1))
(fun i => hPc (i+1)) (fun i => hPconst (i+1)) (fun i => z (i+1))
(fun i => hz (i+1)) (fun i => hdrift (i+1)) y)
rw [hPconst] at hi
change e x + _ ≤ _
rw [he, zero_add, Finset.sum_range_succ']
linarith [hi x, hz 0]
· exact (markovSum_mono P hP hef (m+1) x).trans
((markovSum_potential P hP hPc f τ hτ z hdrift (m+1) x).trans
(by linarith [hlevel x he]))
def scheduledStep (u k : ℕ) (ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ)
(f : Finset (Assignment u) → ℝ) (S : Finset (Assignment u)) : ℝ :=
if ordinary i then clauseStep u k f S else f (S ∩ mask i)
lemma scheduledStep_mono (u k : ℕ) (ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ) :
Monotone (scheduledStep u k ordinary mask i) := by
intro f g h S
unfold scheduledStep
split
· exact clauseStep_mono u k h S
· exact h _
lemma scheduledStep_const {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ) (c : ℝ) :
scheduledStep u k ordinary mask i (fun _ => c) = fun _ => c := by
funext S
unfold scheduledStep
split
· exact congrFun (clauseStep_const hku c) S
· rfl
lemma scheduledStep_add_const {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ)
(f : Finset (Assignment u) → ℝ) (c : ℝ) :
scheduledStep u k ordinary mask i (fun S => f S+c) =
fun S => scheduledStep u k ordinary mask i f S+c := by
funext S
unfold scheduledStep
split
· exact congrFun (clauseStep_add_const hku f c) S
· rfl
lemma scheduledStep_drift {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ) (S : Finset (Assignment u)) :
alive u S + scheduledStep u k ordinary mask i (lifetime u k) S ≤
lifetime u k S + if ordinary i then 0 else 1 := by
unfold scheduledStep
split
· simpa using (lifetime_bellman hku S).ge
· have ht := lifetime_mono hku (Finset.inter_subset_left : S ∩ mask i ⊆ S)
have hf := alive_le_one u S
linarith
lemma scheduled_occupation {u r d : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u) (hd : 1 ≤ d)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (L : ℕ) (S : Finset (Assignment u))
{a : ℝ} (ha : 0 < a) :
markovSum (scheduledStep u (r+1) ordinary mask)
(fun T => if T.Nonempty ∧ a ≤ blockKill u r T d then 1 else 0) L S ≤
lifetimeC (r+1) * (d : ℝ)^(lifetimeBeta (r+1)) * a^(-lifetimeBeta (r+1)) +
∑ i ∈ Finset.range L, if ordinary i then (0 : ℝ) else 1 := by
apply markovSum_level _ (scheduledStep_mono u (r+1) ordinary mask)
(scheduledStep_add_const hru ordinary mask) (scheduledStep_const hru ordinary mask)
(alive u) (lifetime u (r+1)) (lifetime_nonneg _ _) _
(fun _ => by split <;> norm_num) (scheduledStep_drift hru ordinary mask)
· intro T
by_cases hT : T.Nonempty
· simp only [alive, ite_eq_left hT]
split <;> norm_num
· simp [alive, hT]
· exact mul_nonneg (mul_nonneg (lifetimeC_pos (by omega : 1 ≤ r)).le
(Real.rpow_nonneg (by positivity) _)) (Real.rpow_nonneg ha.le _)
· intro T hT
have hTa : a ≤ blockKill u r T d := by
split_ifs at hT with h
· exact h.2
· exact (hT rfl).elim
exact lifetime_level hr hru hd T ha hTa
lemma markovSum_const.{u_1} {X : Type u_1} (P : ℕ → (X → ℝ) → X → ℝ)
(hPc : ∀ i c, P i (fun _ => c) = fun _ => c) (c : ℝ) (m : ℕ) :
markovSum P (fun _ => c) m = fun _ => m*c := by
induction m generalizing P with
| zero => funext x; simp [markovSum]
| succ m ih =>
funext x
simp only [markovSum, ih _ (fun i => hPc (i+1)), hPc]
push_cast
ring
lemma scheduled_occupation_le_length {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (e : Finset (Assignment u) → ℝ)
(he : ∀ S, e S ≤ 1) (L : ℕ) (S : Finset (Assignment u)) :
markovSum (scheduledStep u k ordinary mask) e L S ≤ L := by
have hm := markovSum_mono _ (scheduledStep_mono u k ordinary mask) he L S
rw [markovSum_const _ (scheduledStep_const hku ordinary mask) 1] at hm
simpa using hm
lemma tailIndicator_antitone (x : ℝ) :
Antitone (fun a : ℝ => if a ≤ x then (1 : ℝ) else 0) := by
intro a b hab
dsimp only
by_cases hb : b ≤ x
· simp [hb, hab.trans hb]
· simp only [ite_eq_right hb]
split <;> norm_num
lemma integral_tailIndicator {x : ℝ} (hx : 0 ≤ x) (hx1 : x ≤ 1) :
(∫ a in (0 : ℝ)..1, if a ≤ x then (1 : ℝ) else 0) = x := by
have h := intervalIntegral.integral_indicator (μ := volume)
(f := fun _ : ℝ => (1 : ℝ)) (show x ∈ Set.Icc 0 1 from ⟨hx, hx1⟩)
simpa [Set.indicator, intervalIntegral.integral_const] using h
lemma favg_integral.{u_1} {α : Type u_1} [Fintype α] (f : α → ℝ → ℝ) {a b : ℝ}
(hf : ∀ x, IntervalIntegrable (f x) volume a b) :
favg (fun x => ∫ t in a..b, f x t) = ∫ t in a..b, favg (fun x => f x t) := by
unfold favg
rw [intervalIntegral.integral_div, intervalIntegral.integral_finsetSum (fun x _ => hf x)]
lemma scheduledStep_antitone {u k : ℕ}
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ)
(f : ℝ → Finset (Assignment u) → ℝ) (hf : ∀ S, Antitone (fun a => f a S))
(S : Finset (Assignment u)) :
Antitone (fun a => scheduledStep u k ordinary mask i (f a) S) := by
intro a b hab
exact scheduledStep_mono u k ordinary mask i (fun T => hf T hab) S
lemma scheduledStep_integral {u k : ℕ}
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (i : ℕ)
(f : ℝ → Finset (Assignment u) → ℝ) (hf : ∀ S, Antitone (fun a => f a S))
(S : Finset (Assignment u)) (a b : ℝ) :
scheduledStep u k ordinary mask i (fun T => ∫ t in a..b, f t T) S =
∫ t in a..b, scheduledStep u k ordinary mask i (f t) S := by
unfold scheduledStep
split
· simpa only [clauseStep] using favg_integral
(fun c : Clause u k => fun t => f t (S.filter (Satisfies c)))
(fun c => (hf _).intervalIntegrable)
· rfl
lemma scheduledSum_antitone {u k : ℕ}
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u))
(f : ℝ → Finset (Assignment u) → ℝ) (hf : ∀ S, Antitone (fun a => f a S))
(L : ℕ) (S : Finset (Assignment u)) :
Antitone (fun a => markovSum (scheduledStep u k ordinary mask) (f a) L S) := by
intro a b hab
exact markovSum_mono _ (scheduledStep_mono u k ordinary mask) (fun T => hf T hab) L S
lemma scheduledSum_integral {u k : ℕ}
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u))
(f : ℝ → Finset (Assignment u) → ℝ) (hf : ∀ S, Antitone (fun a => f a S))
(L : ℕ) (S : Finset (Assignment u)) (a b : ℝ) :
markovSum (scheduledStep u k ordinary mask) (fun T => ∫ t in a..b, f t T) L S =
∫ t in a..b, markovSum (scheduledStep u k ordinary mask) (f t) L S := by
induction L generalizing ordinary mask S with
| zero => simp [markovSum]
| succ L ih =>
change (∫ t in a..b, f t S) + scheduledStep u k ordinary mask 0
(markovSum (scheduledStep u k (fun i => ordinary (i+1)) (fun i => mask (i+1)))
(fun T => ∫ t in a..b, f t T) L) S = _
have he : markovSum (scheduledStep u k (fun i => ordinary (i+1)) (fun i => mask (i+1)))
(fun T => ∫ t in a..b, f t T) L =
fun T => ∫ t in a..b, markovSum
(scheduledStep u k (fun i => ordinary (i+1)) (fun i => mask (i+1))) (f t) L T := by
funext T
exact ih _ _ T
rw [he, scheduledStep_integral _ _ _ _
(fun T => scheduledSum_antitone _ _ f hf L T)]
exact (intervalIntegral.integral_add (hf S).intervalIntegrable
(scheduledStep_antitone _ _ _ _
(fun T => scheduledSum_antitone _ _ f hf L T) S).intervalIntegrable).symm
lemma scheduled_layercake {u k : ℕ}
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (f : Finset (Assignment u) → ℝ)
(hf : ∀ S, 0 ≤ f S) (hf1 : ∀ S, f S ≤ 1)
(L : ℕ) (S : Finset (Assignment u)) :
markovSum (scheduledStep u k ordinary mask) f L S =
∫ a in (0 : ℝ)..1, markovSum (scheduledStep u k ordinary mask)
(fun T => if a ≤ f T then 1 else 0) L S := by
have he : f = fun T => ∫ a in (0 : ℝ)..1, if a ≤ f T then (1 : ℝ) else 0 := by
funext T
exact (integral_tailIndicator (hf T) (hf1 T)).symm
conv_lhs => rw [he]
exact scheduledSum_integral _ _ _ (fun T => tailIndicator_antitone (f T)) L S 0 1
lemma scheduled_reward_tail {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (f : Finset (Assignment u) → ℝ)
(hfempty : f ∅ = 0) {θ Q : ℝ}
(hθ : 0 ≤ θ) (hQ : 0 ≤ Q)
(hprod : ∀ S, lifetime u k S * (f S)^θ ≤ Q) (L : ℕ)
(S : Finset (Assignment u)) {a : ℝ} (ha : 0 < a) :
markovSum (scheduledStep u k ordinary mask)
(fun T => if a ≤ f T then 1 else 0) L S ≤ Q*a^(-θ) +
∑ i ∈ Finset.range L, if ordinary i then (0 : ℝ) else 1 := by
apply markovSum_level _ (scheduledStep_mono u k ordinary mask)
(scheduledStep_add_const hku ordinary mask) (scheduledStep_const hku ordinary mask)
(alive u) (lifetime u k) (lifetime_nonneg _ _) _
(fun _ => by split <;> norm_num) (scheduledStep_drift hku ordinary mask)
· intro T
dsimp only
by_cases hT : T.Nonempty
· simp only [alive, ite_eq_left hT]
split <;> norm_num
· have he : T = ∅ := Finset.not_nonempty_iff_eq_empty.mp hT
subst T
simp [alive, hfempty, not_le.mpr ha]
· exact mul_nonneg hQ (Real.rpow_nonneg ha.le _)
· intro T hT
have hTa : a ≤ f T := by
split_ifs at hT with h
· exact h
· exact (hT rfl).elim
have hp := mul_le_mul_of_nonneg_left (Real.rpow_le_rpow ha.le hTa hθ)
(lifetime_nonneg u k T)
rw [Real.rpow_neg ha.le, ← div_eq_mul_inv]
exact (le_div_iff₀ (Real.rpow_pos_of_pos ha _)).2 (hp.trans (hprod T))
lemma scheduled_reward_tail_bound {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (f : Finset (Assignment u) → ℝ)
(hfempty : f ∅ = 0) {θ Q Z : ℝ} (hθ : 0 ≤ θ) (hQ : 0 ≤ Q) (hZ : 0 ≤ Z)
(hprod : ∀ S, lifetime u k S * (f S)^θ ≤ Q) (L : ℕ)
(hcount : (∑ i ∈ Finset.range L, if ordinary i then (0 : ℝ) else 1) ≤ Z)
(S : Finset (Assignment u)) {a : ℝ} (ha : a ∈ Set.Ioo (0 : ℝ) 1) :
markovSum (scheduledStep u k ordinary mask)
(fun T => if a ≤ f T then 1 else 0) L S ≤ (Q+Z+1)*a^(-θ) := by
have hp : 1 ≤ a^(-θ) := Real.one_le_rpow_of_pos_of_le_one_of_nonpos
ha.1 ha.2.le (neg_nonpos.mpr hθ)
have ht := scheduled_reward_tail hku ordinary mask f hfempty hθ hQ hprod L S ha.1
nlinarith [mul_nonneg hZ (sub_nonneg.mpr hp)]
lemma scheduled_reward_integrated_subcritical {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (f : Finset (Assignment u) → ℝ)
(hfempty : f ∅ = 0) (hf : ∀ S, 0 ≤ f S) (hf1 : ∀ S, f S ≤ 1)
{θ Q Z : ℝ} (hθ : 0 ≤ θ) (hθ1 : θ < 1) (hQ : 0 ≤ Q) (hZ : 0 ≤ Z)
(hprod : ∀ S, lifetime u k S * (f S)^θ ≤ Q) (L : ℕ)
(hcount : (∑ i ∈ Finset.range L, if ordinary i then (0 : ℝ) else 1) ≤ Z)
(S : Finset (Assignment u)) :
markovSum (scheduledStep u k ordinary mask) f L S ≤ (Q+Z+1)/(1-θ) := by
rw [scheduled_layercake ordinary mask f hf hf1 L S]
apply integrated_tail_subcritical
(scheduledSum_antitone ordinary mask _ (fun T => tailIndicator_antitone (f T)) L S) hθ1
intro a ha
exact scheduled_reward_tail_bound hku ordinary mask f hfempty hθ hQ hZ hprod L hcount S ha
lemma scheduled_reward_integrated_critical {u k : ℕ} (hku : k ≤ u)
(ordinary : ℕ → Prop) [DecidablePred ordinary]
(mask : ℕ → Finset (Assignment u)) (f : Finset (Assignment u) → ℝ)
(hfempty : f ∅ = 0) (hf : ∀ S, 0 ≤ f S) (hf1 : ∀ S, f S ≤ 1)
{Q Z : ℝ} (hQ : 0 ≤ Q) (hZ : 0 ≤ Z)
(hprod : ∀ S, lifetime u k S * f S ≤ Q) {L : ℕ} (hL : 1 ≤ L)
(hcount : (∑ i ∈ Finset.range L, if ordinary i then (0 : ℝ) else 1) ≤ Z)
(S : Finset (Assignment u)) :
markovSum (scheduledStep u k ordinary mask) f L S ≤ (Q+Z+1)*(1+Real.log L) := by
rw [scheduled_layercake ordinary mask f hf hf1 L S]
apply integrated_tail_critical
(scheduledSum_antitone ordinary mask _ (fun T => tailIndicator_antitone (f T)) L S)
(by linarith) (by exact_mod_cast hL)
· intro a
exact scheduled_occupation_le_length hku ordinary mask _
(fun T => by split <;> norm_num) L S
· intro a ha
have ht := scheduled_reward_tail_bound hku ordinary mask f hfempty
(by norm_num : (0 : ℝ) ≤ 1) hQ hZ (by simpa using hprod) L hcount S ha
simpa [Real.rpow_neg_one, div_eq_mul_inv] using ht
def occupationGamma (k : ℕ) : ℝ := (k : ℝ)-lifetimeBeta k
lemma occupationGamma_succ {r : ℕ} (hr : 2 ≤ r) :
occupationGamma (r+1) = lifetimeBeta (r+1) * ((r-1 : ℕ) : ℝ) := by
rw [occupationGamma, lifetimeBeta_succ (by omega), Nat.cast_add, Nat.cast_one,
Nat.cast_sub (by omega : 1 ≤ r), Nat.cast_one]
have hr₀ : (r : ℝ) ≠ 0 := by exact_mod_cast (by omega : r ≠ 0)
field_simp
lemma occupationGamma_pos {r : ℕ} (hr : 2 ≤ r) : 0 < occupationGamma (r+1) := by
rw [occupationGamma_succ hr, lifetimeBeta_succ (by omega)]
have h : (0 : ℝ) < ((r-1 : ℕ) : ℝ) := by exact_mod_cast (by omega : 0 < r-1)
positivity
def occupationReward (u r d : ℕ) (S : Finset (Assignment u)) : ℝ :=
if S.Nonempty then (blockKill u r S d)^(occupationGamma (r+1)) else 0
lemma occupationReward_nonneg (u r d : ℕ) (S : Finset (Assignment u)) :
0 ≤ occupationReward u r d S := by
unfold occupationReward
split
· exact Real.rpow_nonneg (blockKill_nonneg _ _ _ _) _
· rfl
lemma occupationReward_le_one {u r : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u)
(d : ℕ) (S : Finset (Assignment u)) : occupationReward u r d S ≤ 1 := by
unfold occupationReward
split
· exact Real.rpow_le_one (blockKill_nonneg _ _ _ _) (blockKill_le_one (by omega) _ _)
(occupationGamma_pos hr).le
· norm_num
lemma occupationReward_product {u r d : ℕ} (hr : 2 ≤ r) (hru : r+1 ≤ u) (hd : 1 ≤ d)
(S : Finset (Assignment u)) :
lifetime u (r+1) S * (occupationReward u r d S)^(((r-1 : ℕ) : ℝ)⁻¹) ≤
lifetimeC (r+1) * (d : ℝ)^(lifetimeBeta (r+1)) := by
have hθ : (0 : ℝ) < (((r-1 : ℕ) : ℝ)⁻¹) := by
exact inv_pos.mpr (by exact_mod_cast (by omega : 0 < r-1))
unfold occupationReward
split
· rw [← Real.rpow_mul (blockKill_nonneg _ _ _ _), occupationGamma_succ hr,
mul_inv_cancel_right₀ (by exact_mod_cast (by omega : r-1 ≠ 0) : ((r-1 : ℕ) : ℝ) ≠ 0)]
exact lifetime_product hr hru hd S
· rw [Real.zero_rpow hθ.ne', mul_zero]
exact mul_nonneg (lifetimeC_pos (by omega : 1 ≤ r)).le (Real.rpow_nonneg (by positivity) _)
end RandomKSAT
end
end OAI