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Add lean source and binary files (part 61)
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import OAI.Computability.MeanPayoff.CountedRecursion
namespace OAI
section
namespace MeanPayoff
theorem volume_add {n : ℕ} {a r b : Vec (Fin n)} (har : a ≤ r) (hrb : r ≤ b) :
volume b a = volume b r + volume r a := by
unfold volume
rw [← Finset.sum_add_distrib]
apply Finset.sum_congr rfl
intro i hi
have ha : a i ≤ r i := har i
have hb : r i ≤ b i := hrb i
change (b i - a i).toNat = (b i - r i).toNat + (r i - a i).toNat
omega
theorem volume_floor_drop {n Bmax : ℕ} (I : SolveBox n Bmax) (r : BoxVector I)
(h : ∃ i, (I.delta : ℤ) ≤ r.val i - I.a i) :
volume (I.withFloor r).b (I.withFloor r).a + I.delta ≤ volume I.b I.a := by
obtain ⟨i, hi⟩ := h
have hcoord : I.delta ≤ (r.val i - I.a i).toNat := by omega
have hv : I.delta ≤ volume r.val I.a := hcoord.trans
(Finset.single_le_sum (fun j _ => Nat.zero_le ((r.val j - I.a j).toNat)) (Finset.mem_univ i))
have heq := volume_add r.property.1 r.property.2
change volume I.b r.val + I.delta ≤ volume I.b I.a
omega
theorem volume_ceiling_drop {n Bmax : ℕ} (I : SolveBox n Bmax) (r : BoxVector I)
(h : ∃ i, (I.delta : ℤ) ≤ I.b i - r.val i) :
volume (I.withCeiling r).b (I.withCeiling r).a + I.delta ≤ volume I.b I.a := by
obtain ⟨i, hi⟩ := h
have hcoord : I.delta ≤ (I.b i - r.val i).toNat := by omega
have hv : I.delta ≤ volume I.b r.val := hcoord.trans
(Finset.single_le_sum (fun j _ => Nat.zero_le ((I.b j - r.val j).toNat)) (Finset.mem_univ i))
have heq := volume_add r.property.1 r.property.2
change volume r.val I.a + I.delta ≤ volume I.b I.a
omega
theorem quotient_drop {v w d : ℕ} (hd : 0 < d) (h : w + d ≤ v) : w / d + 1 ≤ v / d := by
have hh := Nat.div_le_div_right (c := d) h
rwa [Nat.add_div_right _ hd] at hh
namespace CountedAlgorithm
theorem bounded_centerUpdate {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox n Bmax) (hB : 128 * globalS Bmax < I.width) (q : BoxVector I) :
(centerUpdate P hR lower I hB q).Bounded (2 * globalJ n Bmax * N) := by
unfold centerUpdate
apply Counted.bounded_mono (Counted.bounded_bind _ (SolveBox.bounded_repeated _ (hN _ _ _) _)
(fun _ => Counted.bounded_map _ (SolveBox.bounded_repeated _ (hN _ _ _) _)))
nlinarith
theorem bounded_centerSteps {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox n Bmax) (hB : 128 * globalS Bmax < I.width) (t : ℕ) (q : BoxVector I) :
(centerSteps P hR lower I hB t q).Bounded (t * (2 * globalJ n Bmax * N)) := by
induction t generalizing q with
| zero => exact Counted.bounded_pure _
| succ t ih =>
unfold centerSteps
apply Counted.bounded_mono (Counted.bounded_bind _
(bounded_centerUpdate P hR lower hN I hB q) (fun q' => Counted.bounded_map _ (ih q')))
simp only [Nat.add_mul, one_mul]
omega
theorem bounded_orientationTail (G : Game) {Bmax : ℕ} (P : Budgets G.n)
(I : SolveBox G.n Bmax) (qs : List (BoxVector I))
(child : BoxVector I → Counted (Orientation P)) {N : ℕ} (hN : ∀ q, (child q).Bounded N) :
(orientationTail G P I qs child).Bounded N := by
unfold orientationTail
dsimp only
split_ifs
· exact Counted.bounded_pure _
· exact Counted.bounded_pure _
· simpa only [zero_add] using Counted.bounded_bind _ (Counted.bounded_lift _)
(fun j => Counted.bounded_map _ (hN _))
theorem bounded_orient (G : Game) {Bmax : ℕ} (P : Budgets G.n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox G.n Bmax) :
(orient G P hR lower I).Bounded
((Nat.clog 2 I.width + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N))) := by
induction I using (measure (fun I : SolveBox G.n Bmax => I.width)).wf.induction with
| h I ih =>
rw [orient]
split_ifs with hB
· exact Counted.bounded_pure _
· have hb : 128 * globalS Bmax < I.width := lt_of_not_ge hB
have hs := globalS_large Bmax
have hr := (I.radius_bounds hb).2.2.2
have hc := clog_double_decrease (by omega : 1 < I.width) (by omega : 2 * (2 * I.E) ≤ I.width)
have hchild : ∀ q : BoxVector I,
(orient G P hR lower (I.wideCentered hb q.val)).Bounded
((Nat.clog 2 (2 * I.E) + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N))) := by
intro q
exact ih (I.wideCentered hb q.val) (by exact I.E_smaller)
have htail := fun qs => bounded_orientationTail G P I qs _ hchild
have hineq : globalS Bmax * (2 * globalJ G.n Bmax * N) +
(Nat.clog 2 (2 * I.E) + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N)) ≤
(Nat.clog 2 I.width + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N)) := by
calc
_ = (Nat.clog 2 (2 * I.E) + 1 + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N)) := by ring
_ ≤ _ := Nat.mul_le_mul_right _ (Nat.add_le_add_right hc 1)
dsimp only
with_reducible
exact Counted.bounded_mono
(Counted.bounded_bind
(t := centerSteps P hR lower I hb (globalS Bmax) I.midpoint)
(fun qs => orientationTail G P I qs (fun q => orient G P hR lower (I.wideCentered hb q.val)))
(bounded_centerSteps P hR lower hN I hb (globalS Bmax) I.midpoint) htail) hineq
theorem bounded_orient_global (G : Game) {Bmax : ℕ} (P : Budgets G.n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox G.n Bmax) :
(orient G P hR lower I).Bounded
((globalG Bmax + 1) * (globalS Bmax * (2 * globalJ G.n Bmax * N))) := by
apply Counted.bounded_mono (bounded_orient G P hR lower hN I)
apply Nat.mul_le_mul_right
have hh := Nat.clog_mono_right 2 (show I.width ≤ Bmax + 1 from I.bounded.trans (Nat.le_succ Bmax))
unfold globalG
omega
theorem bounded_orientPlus {n : ℕ} {P : Budgets n} {t : Counted (Orientation P)}
{N : ℕ} (hN : t.Bounded N) (J : ℕ) : (orientPlus t J).Bounded (J * N) :=
Counted.bounded_map _ (Counted.bounded_trials hN J)
theorem bounded_tighten {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox n Bmax) (hB : 128 * globalS Bmax < I.width) :
(tighten P hR lower I hB).Bounded
((volume I.b I.a / I.delta + 1) * (2 * globalJ n Bmax * N)) := by
rw [tighten]
refine Counted.bounded_mono (Counted.bounded_bind (M := globalJ n Bmax * N +
(volume I.b I.a / I.delta) * (2 * globalJ n Bmax * N)) _
(SolveBox.bounded_repeated _ (hN _ _ _) _) ?_) ?_
· intro r₁
split_ifs with h₁
· have hv := quotient_drop (I.delta_positive hB) (volume_floor_drop I r₁ h₁)
apply Counted.bounded_mono (Counted.bounded_map _
(bounded_tighten P hR lower hN (I.withFloor r₁) hB))
change (volume (I.withFloor r₁).b (I.withFloor r₁).a / I.delta + 1) * _ ≤ _
exact (Nat.mul_le_mul_right _ hv).trans (Nat.le_add_left _ _)
· refine Counted.bounded_mono (Counted.bounded_bind (M :=
(volume I.b I.a / I.delta) * (2 * globalJ n Bmax * N)) _
(SolveBox.bounded_repeated _ (hN _ _ _) _) ?_) ?_
· intro r₂
split_ifs with h₂
· have hv := quotient_drop (I.delta_positive hB) (volume_ceiling_drop I r₂ h₂)
apply Counted.bounded_mono (Counted.bounded_map _
(bounded_tighten P hR lower hN (I.withCeiling r₂) hB))
change (volume (I.withCeiling r₂).b (I.withCeiling r₂).a / I.delta + 1) * _ ≤ _
exact Nat.mul_le_mul_right _ hv
· exact Counted.bounded_pure _
· exact le_rfl
· nlinarith
termination_by volume I.b I.a
decreasing_by
· have hv := volume_floor_drop I r₁ h₁
have hd := I.delta_positive hB
omega
· have hv := volume_ceiling_drop I r₂ h₂
have hd := I.delta_positive hB
omega
end CountedAlgorithm
def widthPotential (s B : ℕ) : ℕ :=
8 * s * Nat.log 2 B + (8 * s * B) / (2 ^ Nat.log 2 B)
theorem widthPotential_bound (s B : ℕ) (hs : 0 < s) :
widthPotential s B < 8 * s * (Nat.log 2 B + 2) := by
have hp : 0 < 2 ^ Nat.log 2 B := pow_pos (by norm_num) _
have hb := Nat.lt_pow_succ_log_self (by norm_num : 1 < 2) B
rw [pow_succ] at hb
have hd : 8 * s * B / 2 ^ Nat.log 2 B < 16 * s := by
apply (Nat.div_lt_iff_lt_mul hp).mpr
nlinarith
unfold widthPotential
nlinarith
theorem widthPotential_decreases {s B C : ℕ} (hs : 0 < s) (hC : 0 < C)
(hCB : C < B) (hdrop : B ≤ 8 * s * (B - C)) :
widthPotential s C < widthPotential s B := by
have hB : 0 < B := hC.trans hCB
have hp : 0 < 2 ^ Nat.log 2 B := pow_pos (by norm_num) _
have hpb : 2 ^ Nat.log 2 B ≤ B := Nat.pow_log_le_self 2 (by omega)
have hlog : Nat.log 2 C ≤ Nat.log 2 B := Nat.log_mono_right hCB.le
have hlower : 8 * s ≤ (8 * s * B) / 2 ^ Nat.log 2 B := by
apply (Nat.le_div_iff_mul_le hp).mpr
exact Nat.mul_le_mul_left _ hpb
rcases eq_or_lt_of_le hlog with heq | hlt
· have hsub : 8 * s * C + 2 ^ Nat.log 2 B ≤ 8 * s * B := by
have ht : C + (B - C) = B := Nat.add_sub_of_le hCB.le
nlinarith
have hdiv := Nat.div_le_div_right (c := 2 ^ Nat.log 2 B) hsub
rw [Nat.add_div_right _ hp] at hdiv
unfold widthPotential
rw [heq]
omega
· have hc := widthPotential_bound s C hs
have hm : 8 * s * (Nat.log 2 C + 2) ≤ 8 * s * (Nat.log 2 B + 1) := by
apply Nat.mul_le_mul_left
omega
unfold widthPotential at hc ⊢
nlinarith
theorem SolveBox.delta_lower {n Bmax : ℕ} (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) : I.width ≤ 8 * globalS Bmax * I.delta := by
have hs := globalS_large Bmax
have hp := I.delta_positive hB
have hd := Nat.lt_mul_div_succ I.width (by omega : 0 < 4 * globalS Bmax)
change I.width < 4 * globalS Bmax * (I.delta + 1) at hd
nlinarith
theorem SolveBox.volume_width {n Bmax : ℕ} (I : SolveBox n Bmax) :
volume I.b I.a ≤ n * I.width := by
calc
_ ≤ ∑ _i : Fin n, I.width := Finset.sum_le_sum (fun i _ => (Int.toNat_le).mpr (I.width_bound i))
_ = _ := by simp
theorem SolveBox.tightening_passes {n Bmax : ℕ} (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) : volume I.b I.a / I.delta ≤ 8 * n * globalS Bmax := by
apply Nat.le_of_lt_succ
apply (Nat.div_lt_iff_lt_mul (I.delta_positive hB)).mpr
have hm := Nat.mul_le_mul_left n (I.delta_lower hB)
have hv := I.volume_width
have hd := I.delta_positive hB
nlinarith
theorem SolveBox.C_potential {n Bmax : ℕ} (I : SolveBox n Bmax)
(hB : 128 * globalS Bmax < I.width) :
widthPotential (globalS Bmax) I.C < widthPotential (globalS Bmax) I.width := by
apply widthPotential_decreases (by have hh := globalS_large Bmax; omega)
I.C_positive (I.C_smaller hB)
have h := I.delta_lower hB
have hd := I.delta_smaller
have he : I.width - I.C = I.delta := by unfold SolveBox.C; omega
simpa only [he, Nat.mul_assoc] using h
namespace CountedAlgorithm
theorem bounded_tighten_global {n Bmax : ℕ} (P : Budgets n) (hR : 1 ≤ P.parameter)
(lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox n Bmax) (hB : 128 * globalS Bmax < I.width) :
(tighten P hR lower I hB).Bounded ((16 * n * globalS Bmax + 2) * globalJ n Bmax * N) := by
apply Counted.bounded_mono (bounded_tighten P hR lower hN I hB)
calc
_ ≤ (8 * n * globalS Bmax + 1) * (2 * globalJ n Bmax * N) :=
Nat.mul_le_mul_right _ (Nat.add_le_add_right (I.tightening_passes hB) 1)
_ = _ := by ring
theorem bounded_finishChoice (G : Game) {Bmax : ℕ} (P : Budgets G.n)
(hR : 1 ≤ P.parameter) (lower : LowerSolver (Bmax := Bmax) P) {N : ℕ} (hN : LowerBound lower N)
(I : SolveBox G.n Bmax) (hB : 128 * globalS Bmax < I.width) (O : Orientation P)
(up : Counted (BoxVector (I.capHigh I.C I.C_positive (I.C_smaller hB).le)))
(lo : Counted (BoxVector (I.capLow I.C I.C_positive (I.C_smaller hB).le)))
{M : ℕ} (hu : up.Bounded M) (hl : lo.Bounded M) :
(finishChoice G P hR lower I hB O up lo).Bounded
(O.exceptions.length * (globalJ G.n Bmax * N) + M) := by
unfold finishChoice
split_ifs
· exact Counted.bounded_bind _
(Counted.bounded_traverse _ (fun H => I.bounded_repeated (hN _ _ _) _) _)
(fun _ => Counted.bounded_map _ hu)
· exact Counted.bounded_bind _
(Counted.bounded_traverse _ (fun H => I.bounded_repeated (hN _ _ _) _) _)
(fun _ => Counted.bounded_map _ hl)
end CountedAlgorithm
end MeanPayoff
end
end OAI