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import OAI.Computability.MeanPayoff.Probability
namespace OAI
section
namespace MeanPayoff
abbrev Vec (V : Type) := V → ℤ
def shift {V : Type} (p : Vec V) (c : ℤ) : Vec V := fun i => p i + c
def clip {V : Type} (a b p : Vec V) : Vec V :=
fun i => min (b i) (max (a i) (p i))
def InBox {V : Type} (a b p : Vec V) : Prop := a ≤ p ∧ p ≤ b
def Subsolution {V : Type} (F : Vec V → Vec V) (a b y : Vec V) : Prop :=
InBox a b y ∧ ∀ i, a i < y i → y i ≤ F y i
def Supersolution {V : Type} (F : Vec V → Vec V) (a b z : Vec V) : Prop :=
InBox a b z ∧ ∀ i, z i < b i → F z i ≤ z i
def subSupport {V : Type} (a y : Vec V) : Set V := {i | a i < y i}
def superSupport {V : Type} (b z : Vec V) : Set V := {i | z i < b i}
structure OperatorLaws {V : Type} (F : Vec V → Vec V) : Prop where
mono : Monotone F
translation : ∀ p c, F (shift p c) = shift (F p) c
def transformed (G : Game) (e : Fin G.m) : ℤ := (G.n + 1 : ℤ) * G.weight e + 1
def outgoing (G : Game) (v : Fin G.n) : Finset (Fin G.m) :=
Finset.univ.filter (fun e => G.tail e = v)
theorem outgoing_nonempty (G : Game) (v : Fin G.n) : (outgoing G v).Nonempty := by
obtain ⟨e, he⟩ := G.total v
exact ⟨e, by simp [outgoing, he]⟩
def operator (G : Game) (p : Vec (Fin G.n)) : Vec (Fin G.n) := fun i =>
if G.maxOwner i then
(outgoing G i).sup' (outgoing_nonempty G i) (fun e => transformed G e + p (G.head e))
else
(outgoing G i).inf' (outgoing_nonempty G i) (fun e => transformed G e + p (G.head e))
theorem operator_laws (G : Game) : OperatorLaws (operator G) := by
constructor
· intro p q hpq i
simp only [operator]
split
· apply (Finset.sup'_le_iff _ _).2
intro e he
exact le_trans (add_le_add_right (hpq (G.head e)) _)
(Finset.le_sup' (fun e => transformed G e + q (G.head e)) he)
· apply (Finset.le_inf'_iff _ _).2
intro e he
exact le_trans (Finset.inf'_le (fun e => transformed G e + p (G.head e)) he)
(add_le_add_right (hpq (G.head e)) _)
· intro p c
funext i
simp only [operator, shift]
split
· simpa only [add_assoc] using
(Finset.sup'_add (outgoing G i)
(fun e => transformed G e + p (G.head e)) c (outgoing_nonempty G i)).symm
· obtain ⟨e, he, heq⟩ := Finset.exists_mem_eq_inf' (outgoing_nonempty G i)
(fun e => transformed G e + p (G.head e))
obtain ⟨f, hf, hfq⟩ := Finset.exists_mem_eq_inf' (outgoing_nonempty G i)
(fun e => transformed G e + (p (G.head e) + c))
have hlo := Finset.inf'_le (fun e => transformed G e + p (G.head e)) hf
have hup := Finset.inf'_le (fun e => transformed G e + (p (G.head e) + c)) he
rw [heq] at hlo ⊢
rw [hfq] at hup ⊢
omega
section Projections
variable {V : Type} {F : Vec V → Vec V}
theorem subsolution_raise_floor (laws : OperatorLaws F) {a b a' y : Vec V}
(hy : Subsolution F a b y) (haa' : a ≤ a') (ha'b : a' ≤ b) :
Subsolution F a' b (fun i => max (y i) (a' i)) ∧
subSupport a' (fun i => max (y i) (a' i)) ⊆ subSupport a y := by
refine ⟨⟨⟨?_, ?_⟩, ?_⟩, ?_⟩
· intro i; exact le_max_right _ _
· intro i; exact max_le (hy.1.2 i) (ha'b i)
· intro i hi
have hiy : a' i < y i := by simpa using hi
have heq : max (y i) (a' i) = y i := max_eq_left (le_of_lt hiy)
dsimp only
rw [heq]
exact le_trans (hy.2 i (lt_of_le_of_lt (haa' i) hiy))
(laws.mono (fun j => le_max_left (y j) (a' j)) i)
· intro i hi
have hiy : a' i < y i := by simpa [subSupport] using hi
exact lt_of_le_of_lt (haa' i) hiy
theorem supersolution_lower_ceiling (laws : OperatorLaws F) {a b b' z : Vec V}
(hz : Supersolution F a b z) (hab' : a ≤ b') (hb'b : b' ≤ b) :
Supersolution F a b' (fun i => min (z i) (b' i)) ∧
superSupport b' (fun i => min (z i) (b' i)) ⊆ superSupport b z := by
refine ⟨⟨⟨?_, ?_⟩, ?_⟩, ?_⟩
· intro i; exact le_min (hz.1.1 i) (hab' i)
· intro i; exact min_le_right _ _
· intro i hi
have hiz : z i < b' i := by simpa using hi
have heq : min (z i) (b' i) = z i := min_eq_left (le_of_lt hiz)
dsimp only
rw [heq]
exact le_trans (laws.mono (fun j => min_le_left (z j) (b' j)) i)
(hz.2 i (lt_of_lt_of_le hiz (hb'b i)))
· intro i hi
have hiz : z i < b' i := by simpa [superSupport] using hi
exact lt_of_lt_of_le hiz (hb'b i)
def centerSub (y q : Vec V) (d A : ℤ) : Vec V :=
fun i => max (y i - d + A) (q i - A)
def centerSuper (z q : Vec V) (e A : ℤ) : Vec V :=
fun i => min (z i + e - A) (q i + A)
theorem centerSub_support (y q : Vec V) (d A : ℤ) :
subSupport (fun i => q i - A) (centerSub y q d A) =
{i | d - 2 * A < y i - q i} := by
ext i
simp only [subSupport, centerSub, Set.mem_ofPred_eq, lt_max_iff, lt_self_iff_false,
or_false]
omega
theorem centerSuper_support (z q : Vec V) (e A : ℤ) :
superSupport (fun i => q i + A) (centerSuper z q e A) =
{i | e - 2 * A < q i - z i} := by
ext i
simp only [superSupport, centerSuper, Set.mem_ofPred_eq, min_lt_iff,
lt_self_iff_false, or_false]
omega
theorem centered_subsolution (laws : OperatorLaws F) {a b y q : Vec V} {d A : ℤ}
(hy : Subsolution F a b y) (hq : InBox a b q)
(hA : 0 < A) (hdev : ∀ i, y i - q i ≤ d) (hd : 2 * A ≤ d) :
Subsolution F (fun i => q i - A) (fun i => q i + A) (centerSub y q d A) ∧
subSupport (fun i => q i - A) (centerSub y q d A) ⊆ subSupport a y := by
have hs : subSupport (fun i => q i - A) (centerSub y q d A) ⊆
subSupport a y := by
rw [centerSub_support]
intro i hi
have hqi : a i ≤ q i := hq.1 i
change a i < y i
change d - 2 * A < y i - q i at hi
omega
refine ⟨⟨⟨?_, ?_⟩, ?_⟩, hs⟩
· intro i; exact le_max_right _ _
· intro i
change max (y i - d + A) (q i - A) ≤ q i + A
apply max_le
· have := hdev i; omega
· omega
· intro i hi
have hiy : y i ≤ F y i := hy.2 i (hs hi)
have hlarge : q i - A < y i - d + A := by
simpa only [centerSub, lt_max_iff, lt_self_iff_false, or_false] using hi
have heq : centerSub y q d A i = y i - d + A :=
max_eq_left (le_of_lt hlarge)
rw [heq]
have hmono : F (shift y (-d + A)) i ≤ F (centerSub y q d A) i := by
apply laws.mono
intro j
have := le_max_left (y j - d + A) (q j - A)
simp [shift, centerSub, sub_eq_add_neg, add_assoc]
rw [laws.translation] at hmono
simp only [shift] at hmono
omega
theorem centered_supersolution (laws : OperatorLaws F) {a b z q : Vec V} {e A : ℤ}
(hz : Supersolution F a b z) (hq : InBox a b q)
(hA : 0 < A) (hdev : ∀ i, q i - z i ≤ e) (he : 2 * A ≤ e) :
Supersolution F (fun i => q i - A) (fun i => q i + A) (centerSuper z q e A) ∧
superSupport (fun i => q i + A) (centerSuper z q e A) ⊆ superSupport b z := by
have hs : superSupport (fun i => q i + A) (centerSuper z q e A) ⊆
superSupport b z := by
rw [centerSuper_support]
intro i hi
have hqi : q i ≤ b i := hq.2 i
change z i < b i
change e - 2 * A < q i - z i at hi
omega
refine ⟨⟨⟨?_, ?_⟩, ?_⟩, hs⟩
· intro i
change q i - A ≤ min (z i + e - A) (q i + A)
apply le_min
· have := hdev i; omega
· omega
· intro i; exact min_le_right _ _
· intro i hi
have hiz : F z i ≤ z i := hz.2 i (hs hi)
have hsmall : z i + e - A < q i + A := by
simpa only [centerSuper, min_lt_iff, lt_self_iff_false, or_false] using hi
have heq : centerSuper z q e A i = z i + e - A :=
min_eq_left (le_of_lt hsmall)
rw [heq]
have hmono : F (centerSuper z q e A) i ≤ F (shift z (e - A)) i := by
apply laws.mono
intro j
have := min_le_left (z j + e - A) (q j + A)
simp [shift, centerSuper, sub_eq_add_neg, add_assoc]
rw [laws.translation] at hmono
simp only [shift] at hmono
omega
end Projections
def averageStep {V : Type} (a b r₁ r₂ : Vec V) : Vec V :=
clip a b (fun i => (r₁ i + r₂ i) / 2)
theorem high_deviation_step {V : Type} {a b y q r₁ r₂ : Vec V} {d D : ℤ}
(hyb : y ≤ b) (hD : 0 < D) (hd : 2 * D ≤ d)
(hdev : ∀ i, y i - q i ≤ d)
(hr₁ : ∀ i, q i - D ≤ r₁ i)
(hr₂ : centerSub y q d D ≤ r₂) :
∀ i, y i - averageStep a b r₁ r₂ i ≤ d := by
intro i
have hq := hdev i
have h1 := hr₁ i
have h2 := le_trans (le_max_left (y i - d + D) (q i - D)) (hr₂ i)
have hb : y i ≤ b i := hyb i
have havg : y i - d ≤ (r₁ i + r₂ i) / 2 := by omega
have hclip : y i - d ≤ min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) :=
le_min (by omega) (le_trans havg (le_max_right _ _))
change y i - min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) ≤ d
omega
theorem high_bad_step {V : Type} {a b y q r₁ r₂ : Vec V} {d D : ℤ}
(hyb : y ≤ b) (hD : 0 < D) (hd : 2 * D ≤ d)
(hr₁ : centerSub y q d D ≤ r₁) (hr₂ : centerSub y q d D ≤ r₂) :
∀ i, y i - averageStep a b r₁ r₂ i ≤ d - D := by
intro i
have h1 := le_trans (le_max_left (y i - d + D) (q i - D)) (hr₁ i)
have h2 := le_trans (le_max_left (y i - d + D) (q i - D)) (hr₂ i)
have hb : y i ≤ b i := hyb i
have havg : y i - d + D ≤ (r₁ i + r₂ i) / 2 := by omega
have hclip : y i - d + D ≤ min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) :=
le_min (by omega) (le_trans havg (le_max_right _ _))
change y i - min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) ≤ d - D
omega
theorem low_deviation_step {V : Type} {a b z q r₁ r₂ : Vec V} {e D : ℤ}
(haz : a ≤ z) (hD : 0 < D) (he : 2 * D ≤ e)
(hdev : ∀ i, q i - z i ≤ e)
(hr₁ : r₁ ≤ centerSuper z q e D)
(hr₂ : ∀ i, r₂ i ≤ q i + D) :
∀ i, averageStep a b r₁ r₂ i - z i ≤ e := by
intro i
have hq := hdev i
have h1 : r₁ i ≤ z i + e - D := le_trans (hr₁ i) (min_le_left (z i + e - D) (q i + D))
have h2 := hr₂ i
have ha : a i ≤ z i := haz i
have havg : (r₁ i + r₂ i) / 2 ≤ z i + e := by omega
have hclip : min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) ≤ z i + e :=
le_trans (min_le_right _ _) (max_le (by omega) havg)
change min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) - z i ≤ e
omega
theorem low_bad_step {V : Type} {a b z q r₁ r₂ : Vec V} {e D : ℤ}
(haz : a ≤ z) (hD : 0 < D) (he : 2 * D ≤ e)
(hr₁ : r₁ ≤ centerSuper z q e D) (hr₂ : r₂ ≤ centerSuper z q e D) :
∀ i, averageStep a b r₁ r₂ i - z i ≤ e - D := by
intro i
have h1 : r₁ i ≤ z i + e - D := le_trans (hr₁ i) (min_le_left (z i + e - D) (q i + D))
have h2 : r₂ i ≤ z i + e - D := le_trans (hr₂ i) (min_le_left (z i + e - D) (q i + D))
have ha : a i ≤ z i := haz i
have havg : (r₁ i + r₂ i) / 2 ≤ z i + e - D := by omega
have hclip : min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) ≤ z i + e - D :=
le_trans (min_le_right _ _) (max_le (by omega) havg)
change min (b i) (max (a i) ((r₁ i + r₂ i) / 2)) - z i ≤ e - D
omega
theorem no_tight_sequence (G : Game) (p : Vec (Fin G.n))
(v : ℕ → Fin G.n) (w : ℕ → ℤ)
(h : ∀ k, p (v k) = (G.n + 1 : ℤ) * w k + 1 + p (v (k + 1))) : False := by
have hmod : ∀ k : ℕ,
p (v k) + (k : ℤ) ≡ p (v 0) [ZMOD (G.n + 1 : ℤ)] := by
intro k
induction k with
| zero => simp
| succ k ih =>
apply Int.ModEq.trans _ ih
apply Int.modEq_iff_dvd.mpr
use w k
have hk := h k
push_cast
linarith
have hinj : Function.Injective (fun k : Fin (G.n + 1) => v k.val) := by
intro i j hij
change v i.val = v j.val at hij
apply Fin.ext
have hm := (hmod i.val).trans (hmod j.val).symm
rw [hij] at hm
have hc := Int.ModEq.add_left_cancel' (p (v j.val)) hm
have hn : i.val ≡ j.val [MOD (G.n + 1)] :=
Int.natCast_modEq_iff.mp (by simpa only [Nat.cast_add, Nat.cast_one] using hc)
exact hn.eq_of_lt_of_lt i.isLt j.isLt
have hc := Fintype.card_le_of_injective _ hinj
simp only [Fintype.card_fin] at hc
omega
theorem comparison_step (G : Game) {a b y z : Vec (Fin G.n)}
(hy : Subsolution (operator G) a b y)
(hz : Supersolution (operator G) a b z)
{d : ℤ} (hd : 0 < d) (hdev : ∀ j, y j - z j ≤ d)
(i : Fin G.n) (hi : y i - z i = d) :
∃ e : Fin G.m, G.tail e = i ∧
y (G.head e) - z (G.head e) = d ∧
y i = transformed G e + y (G.head e) := by
have hay : a i < y i := by have hzi : a i ≤ z i := hz.1.1 i; omega
have hzb : z i < b i := by have hyi : y i ≤ b i := hy.1.2 i; omega
have hys := hy.2 i hay
have hzs := hz.2 i hzb
have hmono : operator G y i ≤ operator G z i + d := by
have hm := (operator_laws G).mono (a := y) (b := shift z d)
(fun j => by have := hdev j; dsimp [shift]; omega) i
rw [(operator_laws G).translation] at hm
exact hm
have hyeq : y i = operator G y i := by omega
have hzeq : z i = operator G z i := by omega
by_cases ho : G.maxOwner i = true
· obtain ⟨e, he, heq⟩ := Finset.exists_mem_eq_sup' (outgoing_nonempty G i)
(fun e => transformed G e + y (G.head e))
have htail : G.tail e = i := (Finset.mem_filter.mp he).2
have hye : y i = transformed G e + y (G.head e) := by
rw [hyeq, operator, ite_eq_left ho]; exact heq
have hzle : transformed G e + z (G.head e) ≤ z i := by
rw [hzeq, operator, ite_eq_left ho]
exact Finset.le_sup' (fun e => transformed G e + z (G.head e)) he
exact ⟨e, htail, by have := hdev (G.head e); omega, hye⟩
· obtain ⟨e, he, heq⟩ := Finset.exists_mem_eq_inf' (outgoing_nonempty G i)
(fun e => transformed G e + z (G.head e))
have htail : G.tail e = i := (Finset.mem_filter.mp he).2
have hze : z i = transformed G e + z (G.head e) := by
rw [hzeq, operator, ite_eq_right ho]; exact heq
have hyle : y i ≤ transformed G e + y (G.head e) := by
rw [hyeq, operator, ite_eq_right ho]
exact Finset.inf'_le (fun e => transformed G e + y (G.head e)) he
have hj := hdev (G.head e)
exact ⟨e, htail, by omega, by omega⟩
theorem box_comparison (G : Game) {a b y z : Vec (Fin G.n)}
(hy : Subsolution (operator G) a b y)
(hz : Supersolution (operator G) a b z) : y ≤ z := by
classical
let : Nonempty (Fin G.n) := ⟨⟨0, G.positive⟩⟩
let d : ℤ := Finset.univ.sup' Finset.univ_nonempty (fun i => y i - z i)
have hdev : ∀ i, y i - z i ≤ d := fun i =>
Finset.le_sup' (fun j => y j - z j) (Finset.mem_univ i)
by_contra h
change ¬ (∀ i, y i ≤ z i) at h
obtain ⟨k, hk⟩ := not_forall.mp h
have hd : 0 < d := by have := hdev k; omega
obtain ⟨v, _, hv⟩ := Finset.exists_mem_eq_sup' (Finset.univ_nonempty (α := Fin G.n))
(fun i => y i - z i)
let S := {i : Fin G.n // y i - z i = d}
let s₀ : S := ⟨v, hv.symm⟩
have hs : ∀ s : S, ∃ e : Fin G.m, G.tail e = s.val ∧
y (G.head e) - z (G.head e) = d ∧
y s.val = transformed G e + y (G.head e) :=
fun s => comparison_step G hy hz hd hdev s.val s.property
choose edge hedge using hs
let next : S → S := fun s => ⟨G.head (edge s), (hedge s).2.1⟩
let path : ℕ → S := fun k => next^[k] s₀
apply no_tight_sequence G y (fun k => (path k).val)
(fun k => G.weight (edge (path k)))
intro k
have heq := (hedge (path k)).2.2
simpa only [path, Function.iterate_succ_apply', next, transformed] using heq
def boxStep {V : Type} (F : Vec V → Vec V) (a b p : Vec V) : Vec V :=
clip a b (F p)
theorem boxStep_in_box {V : Type} (F : Vec V → Vec V)
{a b : Vec V} (hab : a ≤ b) (p : Vec V) : InBox a b (boxStep F a b p) := by
constructor
· intro i
exact le_min (hab i) (le_max_left _ _)
· intro i; exact min_le_left _ _
theorem boxStep_mono {V : Type} {F : Vec V → Vec V} (hF : Monotone F)
(a b : Vec V) : Monotone (boxStep F a b) := by
intro p q hpq i
exact min_le_min_left _ (max_le_max_left _ (hF hpq i))
theorem fixed_iff_comparisons {V : Type} (F : Vec V → Vec V)
{a b p : Vec V} (hab : a ≤ b) :
boxStep F a b p = p ↔ Subsolution F a b p ∧ Supersolution F a b p := by
constructor
· intro heq
have hp := boxStep_in_box F hab p
rw [heq] at hp
have hc : ∀ i, min (b i) (max (a i) (F p i)) = p i := congrFun heq
constructor
· refine ⟨hp, ?_⟩
intro i hi
have := hc i
omega
· refine ⟨hp, ?_⟩
intro i hi
have := hc i
omega
· rintro ⟨hy, hz⟩
funext i
have ha : a i ≤ p i := hy.1.1 i
have hb : p i ≤ b i := hy.1.2 i
have hs := hy.2 i
have ht := hz.2 i
change min (b i) (max (a i) (F p i)) = p i
omega
def volume {n : ℕ} (b p : Vec (Fin n)) : ℕ := ∑ i, (b i - p i).toNat
theorem volume_decreases {n : ℕ} {b p q : Vec (Fin n)}
(hpq : p ≤ q) (hqb : q ≤ b) (hne : p ≠ q) : volume b q < volume b p := by
apply Finset.sum_lt_sum
· intro i _
exact Int.toNat_le_toNat (sub_le_sub_left (hpq i) _)
· have hx : ∃ i, p i ≠ q i := Function.ne_iff.mp hne
obtain ⟨i, hi⟩ := hx
have hpi : p i ≤ q i := hpq i
have hqi : q i ≤ b i := hqb i
refine ⟨i, Finset.mem_univ i, ?_⟩
apply (Int.toNat_lt_toNat (by omega)).mpr
omega
def basicFrom {n : ℕ} (F : Vec (Fin n) → Vec (Fin n)) (hF : Monotone F)
(a b : Vec (Fin n)) (hab : a ≤ b) (p : Vec (Fin n))
(hp : InBox a b p) (hinc : p ≤ boxStep F a b p) :
{r : Vec (Fin n) × ℕ // InBox a b r.1 ∧ boxStep F a b r.1 = r.1 ∧
r.2 ≤ volume b p + 1} := by
by_cases heq : boxStep F a b p = p
· exact ⟨(p, 1), hp, heq, by omega⟩
· have hq := boxStep_in_box F hab p
have hnext : boxStep F a b p ≤ boxStep F a b (boxStep F a b p) :=
boxStep_mono hF a b hinc
have hvol : volume b (boxStep F a b p) < volume b p :=
volume_decreases hinc hq.2 (Ne.symm heq)
let r := basicFrom F hF a b hab (boxStep F a b p) hq hnext
exact ⟨(r.val.1, r.val.2 + 1), r.property.1, r.property.2.1, by
have := r.property.2.2; dsimp only; omega⟩
termination_by volume b p
def basic (G : Game) (a b : Vec (Fin G.n)) (hab : a ≤ b) : Vec (Fin G.n) × ℕ :=
(basicFrom (operator G) (operator_laws G).mono a b hab a
⟨le_refl a, hab⟩ (boxStep_in_box (operator G) hab a).1).val
theorem basic_spec (G : Game) (a b : Vec (Fin G.n)) (hab : a ≤ b) :
Subsolution (operator G) a b (basic G a b hab).1 ∧
Supersolution (operator G) a b (basic G a b hab).1 ∧
(basic G a b hab).2 ≤ volume b a + 1 := by
have h := (basicFrom (operator G) (operator_laws G).mono a b hab a
⟨le_refl a, hab⟩ (boxStep_in_box (operator G) hab a).1).property
have hc := (fixed_iff_comparisons (operator G) hab).mp h.2.1
exact ⟨hc.1, hc.2, h.2.2⟩
theorem box_solution_exists_unique (G : Game) (a b : Vec (Fin G.n)) (hab : a ≤ b) :
∃! x, Subsolution (operator G) a b x ∧ Supersolution (operator G) a b x := by
refine ⟨(basic G a b hab).1, ⟨(basic_spec G a b hab).1,
(basic_spec G a b hab).2.1⟩, ?_⟩
intro y hy
apply le_antisymm
· exact box_comparison G hy.1 (basic_spec G a b hab).2.1
· exact box_comparison G (basic_spec G a b hab).1 hy.2
theorem no_tight_segment (G : Game) (p : Vec (Fin G.n))
(v : ℕ → Fin G.n) (w : ℕ → ℤ)
(h : ∀ k < G.n, p (v k) = (G.n + 1 : ℤ) * w k + 1 + p (v (k + 1))) : False := by
have hmod : ∀ k : ℕ, k ≤ G.n →
p (v k) + (k : ℤ) ≡ p (v 0) [ZMOD (G.n + 1 : ℤ)] := by
intro k
induction k with
| zero => intro _; simp
| succ k ih =>
intro hk
apply Int.ModEq.trans _ (ih (by omega))
apply Int.modEq_iff_dvd.mpr
use w k
have hstep := h k (by omega)
push_cast
linarith
have hinj : Function.Injective (fun k : Fin (G.n + 1) => v k.val) := by
intro i j hij
change v i.val = v j.val at hij
apply Fin.ext
have hm := (hmod i.val (by omega)).trans (hmod j.val (by omega)).symm
rw [hij] at hm
have hc := Int.ModEq.add_left_cancel' (p (v j.val)) hm
have hn : i.val ≡ j.val [MOD (G.n + 1)] :=
Int.natCast_modEq_iff.mp (by simpa only [Nat.cast_add, Nat.cast_one] using hc)
exact hn.eq_of_lt_of_lt i.isLt j.isLt
have hc := Fintype.card_le_of_injective _ hinj
simp only [Fintype.card_fin] at hc
omega
theorem operator_attained (G : Game) (p : Vec (Fin G.n)) (i : Fin G.n) :
∃ e : Fin G.m, G.tail e = i ∧ operator G p i = transformed G e + p (G.head e) := by
by_cases ho : G.maxOwner i = true
· obtain ⟨e, he, heq⟩ := Finset.exists_mem_eq_sup' (outgoing_nonempty G i)
(fun e => transformed G e + p (G.head e))
exact ⟨e, (Finset.mem_filter.mp he).2, by simpa [operator, ho] using heq⟩
· obtain ⟨e, he, heq⟩ := Finset.exists_mem_eq_inf' (outgoing_nonempty G i)
(fun e => transformed G e + p (G.head e))
exact ⟨e, (Finset.mem_filter.mp he).2, by simpa [operator, ho] using heq⟩
theorem solution_near_boundary (G : Game) {x : Vec (Fin G.n)} {B W : ℤ}
(hW : 0 ≤ W) (hweights : ∀ e, |transformed G e| ≤ W)
(hx : Subsolution (operator G) (fun _ => 0) (fun _ => B) x ∧
Supersolution (operator G) (fun _ => 0) (fun _ => B) x) :
∀ i, x i ≤ G.n * W ∨ B - G.n * W ≤ x i := by
classical
choose edge hedge using operator_attained G x
let next : Fin G.n → Fin G.n := fun i =>
if 0 < x i ∧ x i < B then G.head (edge i) else i
have hstep : ∀ i, |x (next i) - x i| ≤ W := by
intro i
by_cases hi : 0 < x i ∧ x i < B
· have hsub := hx.1.2 i hi.1
have hsuper := hx.2.2 i hi.2
have he := (hedge i).2
have hw := hweights (edge i)
simp only [next, ite_eq_left hi]
rw [show x (G.head (edge i)) - x i = -transformed G (edge i) by omega,
abs_neg]
exact hw
· simp only [next, ite_eq_right hi, sub_self, abs_zero]; exact hW
intro start
let path : ℕ → Fin G.n := fun k => next^[k] start
have hmove : ∀ k, |x (path k) - x start| ≤ k * W := by
intro k
induction k with
| zero => simp [path]
| succ k ih =>
have hs := hstep (path k)
have hp : path (k + 1) = next (path k) := Function.iterate_succ_apply' next k start
rw [← hp] at hs
calc
|x (path (k + 1)) - x start| =
|(x (path (k + 1)) - x (path k)) + (x (path k) - x start)| := by congr 1; ring
_ ≤ |x (path (k + 1)) - x (path k)| + |x (path k) - x start| := abs_add_le _ _
_ ≤ W + k * W := add_le_add hs ih
_ = (↑(k + 1) : ℤ) * W := by push_cast; ring
have hboundary : ∃ k < G.n, ¬ (0 < x (path k) ∧ x (path k) < B) := by
by_contra h
push Not at h
apply no_tight_segment G x path (fun k => G.weight (edge (path k)))
intro k hk
have hi := h k hk
have hsub := hx.1.2 (path k) hi.1
have hsuper := hx.2.2 (path k) hi.2
have hp : path (k + 1) = G.head (edge (path k)) := by
change next^[k + 1] start = _
rw [Function.iterate_succ_apply']
exact ite_eq_left hi
rw [hp]
have he := (hedge (path k)).2
change x (path k) = transformed G (edge (path k)) + x (G.head (edge (path k)))
omega
obtain ⟨k, hk, hbound⟩ := hboundary
have hlo : 0 ≤ x (path k) := hx.1.1.1 (path k)
have hhi : x (path k) ≤ B := hx.1.1.2 (path k)
have hm := hmove k
have hk' : (k : ℤ) ≤ G.n := by omega
have hkn := mul_le_mul_of_nonneg_right hk' hW
have ha := (abs_le.mp hm)
by_cases he : x (path k) = 0
· left; omega
· right; have he' : x (path k) = B := by omega
omega
theorem exists_rounding_shift {n : ℕ} (p : Vec (Fin n)) :
∃ c : ℤ, ∀ i, (p i - c) % (n + 1 : ℤ) ≠ 0 := by
classical
have hN : (0 : ℤ) < n + 1 := by omega
let residue : Fin n → Fin (n + 1) := fun i =>
⟨(p i % (n + 1 : ℤ)).toNat,
(Int.toNat_lt (Int.emod_nonneg _ (ne_of_gt hN))).mpr (by
simpa only [Nat.cast_add, Nat.cast_one] using Int.emod_lt_of_pos (p i) hN)⟩
have hns : ¬ Function.Surjective residue := by
intro hs
have hc := Fintype.card_le_of_surjective residue hs
simp only [Fintype.card_fin] at hc
omega
have hex : ∃ c : Fin (n + 1), ∀ i, residue i ≠ c := by
simpa only [Function.Surjective, not_forall, not_exists] using hns
obtain ⟨c, hc⟩ := hex
refine ⟨c.val, ?_⟩
intro i hi
apply hc i
apply Fin.ext
change (p i % (n + 1 : ℤ)).toNat = c.val
have hm : (c.val : ℤ) ≡ p i [ZMOD (n + 1 : ℤ)] :=
Int.modEq_iff_dvd.mpr (Int.dvd_of_emod_eq_zero hi)
have hcmod : (c.val : ℤ) % (n + 1 : ℤ) = c.val :=
Int.emod_eq_of_lt (by omega) (by exact_mod_cast c.isLt)
change (c.val : ℤ) % (n + 1 : ℤ) = p i % (n + 1 : ℤ) at hm
rw [hcmod] at hm
rw [← hm]
simp
theorem rounded_high_edge {N a b w c : ℤ} (hN : 0 < N)
(hgap : (a - c) % N ≠ 0) (h : a ≤ N * w + 1 + b) :
(a - c) / N ≤ w + (b - c) / N := by
have ha := Int.ediv_emod_unique (a := a - c) (b := N)
(r := (a - c) % N) (q := (a - c) / N) hN
have hb := Int.ediv_emod_unique (a := b - c) (b := N)
(r := (b - c) % N) (q := (b - c) / N) hN
have hqa := ha.mp ⟨rfl, rfl⟩
have hqb := hb.mp ⟨rfl, rfl⟩
by_contra hn
have hq : w + (b - c) / N + 1 ≤ (a - c) / N := by omega
have hp := mul_le_mul_of_nonneg_left hq (le_of_lt hN)
have hra : 1 ≤ (a - c) % N := by omega
have hrb : (b - c) % N ≤ N - 1 := by omega
nlinarith [hqa.1, hqb.1]
def weightBound (G : Game) : ℤ :=
max 1 ((Finset.univ.sup (fun e : Fin G.m => (transformed G e).natAbs) : ℕ) : ℤ)
def topWidth (G : Game) : ℤ := 8 * G.n * weightBound G
theorem weightBound_positive (G : Game) : 0 < weightBound G := by
have := le_max_left (1 : ℤ) ((Finset.univ.sup (fun e : Fin G.m => (transformed G e).natAbs) : ℕ) : ℤ)
change 0 < max 1 _
omega
theorem transformed_le_bound (G : Game) (e : Fin G.m) : |transformed G e| ≤ weightBound G := by
have h := Finset.le_sup (f := fun e : Fin G.m => (transformed G e).natAbs) (Finset.mem_univ e)
have hc : ((transformed G e).natAbs : ℤ) ≤
((Finset.univ.sup (fun e : Fin G.m => (transformed G e).natAbs) : ℕ) : ℤ) := by exact_mod_cast h
rw [Int.natCast_natAbs] at hc
exact hc.trans (le_max_right _ _)
theorem top_bands (G : Game) {x : Vec (Fin G.n)}
(hx : Subsolution (operator G) (fun _ => 0) (fun _ => topWidth G) x ∧
Supersolution (operator G) (fun _ => 0) (fun _ => topWidth G) x) :
∀ i, x i ≤ G.n * weightBound G ∨ 7 * G.n * weightBound G ≤ x i := by
intro i
have h := solution_near_boundary G (le_of_lt (weightBound_positive G))
(transformed_le_bound G) hx i
simpa only [topWidth, show 8 * (G.n : ℤ) * weightBound G - G.n * weightBound G =
7 * G.n * weightBound G by ring] using h
theorem max_edge_le_operator (G : Game) (p : Vec (Fin G.n))
{i : Fin G.n} (ho : G.maxOwner i = true) {e : Fin G.m} (he : G.tail e = i) :
transformed G e + p (G.head e) ≤ operator G p i := by
rw [operator, ite_eq_left ho]
exact Finset.le_sup' (fun e => transformed G e + p (G.head e)) (by simp [outgoing, he])
theorem operator_le_min_edge (G : Game) (p : Vec (Fin G.n))
{i : Fin G.n} (ho : G.maxOwner i ≠ true) {e : Fin G.m} (he : G.tail e = i) :
operator G p i ≤ transformed G e + p (G.head e) := by
rw [operator, ite_eq_right ho]
exact Finset.inf'_le (fun e => transformed G e + p (G.head e)) (by simp [outgoing, he])
theorem move_tail (G : Game) (σ τ : Strategy G) (v : Fin G.n)
(history : List (Fin G.m)) : G.tail (move G σ τ v history) = v := by
unfold move
split
· exact (σ history v).property
· exact (τ history v).property
theorem next_position (G : Game) (σ τ : Strategy G) (v : Fin G.n) (t : ℕ) :
(position G σ τ v (t + 1)).1 = G.head (play G σ τ v t) := rfl
theorem high_edge_stays_high (G : Game) {x : Vec (Fin G.n)}
(hbands : ∀ i, x i ≤ G.n * weightBound G ∨ 7 * G.n * weightBound G ≤ x i)
{i : Fin G.n} {e : Fin G.m}
(hi : 7 * G.n * weightBound G ≤ x i)
(he : x i ≤ transformed G e + x (G.head e)) :
7 * G.n * weightBound G ≤ x (G.head e) := by
rcases hbands (G.head e) with hl | hh
· have hw := (abs_le.mp (transformed_le_bound G e)).2
have hn : (1 : ℤ) ≤ G.n := by exact_mod_cast G.positive
have hW := weightBound_positive G
have hnW : weightBound G ≤ G.n * weightBound G := by nlinarith
nlinarith
· exact hh
theorem low_edge_stays_low (G : Game) {x : Vec (Fin G.n)}
(hbands : ∀ i, x i ≤ G.n * weightBound G ∨ 7 * G.n * weightBound G ≤ x i)
{i : Fin G.n} {e : Fin G.m}
(hi : x i ≤ G.n * weightBound G)
(he : transformed G e + x (G.head e) ≤ x i) :
x (G.head e) ≤ G.n * weightBound G := by
rcases hbands (G.head e) with hl | hh
· exact hl
· have hw := (abs_le.mp (transformed_le_bound G e)).1
have hn : (1 : ℤ) ≤ G.n := by exact_mod_cast G.positive
have hW := weightBound_positive G
have hnW : weightBound G ≤ G.n * weightBound G := by nlinarith
nlinarith
theorem high_strategy (G : Game) {x : Vec (Fin G.n)}
(hx : Subsolution (operator G) (fun _ => 0) (fun _ => topWidth G) x ∧
Supersolution (operator G) (fun _ => 0) (fun _ => topWidth G) x) :
∃ σ : Strategy G, ∀ τ : Strategy G, ∀ start : Fin G.n,
7 * G.n * weightBound G ≤ x start → ∀ t : ℕ,
7 * G.n * weightBound G ≤ x (position G σ τ start t).1 ∧
x (position G σ τ start t).1 ≤
transformed G (play G σ τ start t) + x (position G σ τ start (t + 1)).1 := by
classical
choose edge hedge using operator_attained G x
let σ : Strategy G := fun _ i => ⟨edge i, (hedge i).1⟩
refine ⟨σ, ?_⟩
intro τ start hstart
have hlocal (i : Fin G.n) (history : List (Fin G.m))
(hi : 7 * G.n * weightBound G ≤ x i) :
x i ≤ transformed G (move G σ τ i history) + x (G.head (move G σ τ i history)) := by
have hn : (0 : ℤ) < G.n := by exact_mod_cast G.positive
have hW := weightBound_positive G
have hpos : 0 < x i := by nlinarith
have hsub := hx.1.2 i hpos
by_cases ho : G.maxOwner i = true
· simpa only [move, ite_eq_left ho, σ] using hsub.trans_eq (hedge i).2
· exact hsub.trans (operator_le_min_edge G x ho (move_tail G σ τ i history))
have hstay : ∀ t : ℕ, 7 * G.n * weightBound G ≤ x (position G σ τ start t).1 := by
intro t
induction t with
| zero => exact hstart
| succ t ih =>
rw [next_position]
exact high_edge_stays_high G (top_bands G hx) ih
(hlocal (position G σ τ start t).1 (position G σ τ start t).2 ih)
intro t
refine ⟨hstay t, ?_⟩
rw [next_position]
exact hlocal (position G σ τ start t).1 (position G σ τ start t).2 (hstay t)
theorem low_strategy (G : Game) {x : Vec (Fin G.n)}
(hx : Subsolution (operator G) (fun _ => 0) (fun _ => topWidth G) x ∧
Supersolution (operator G) (fun _ => 0) (fun _ => topWidth G) x) :
∃ τ : Strategy G, ∀ σ : Strategy G, ∀ start : Fin G.n,
x start ≤ G.n * weightBound G → ∀ t : ℕ,
x (position G σ τ start t).1 ≤ G.n * weightBound G ∧
transformed G (play G σ τ start t) + x (position G σ τ start (t + 1)).1 ≤
x (position G σ τ start t).1 := by
classical
choose edge hedge using operator_attained G x
let τ : Strategy G := fun _ i => ⟨edge i, (hedge i).1⟩
refine ⟨τ, ?_⟩
intro σ start hstart
have hlocal (i : Fin G.n) (history : List (Fin G.m))
(hi : x i ≤ G.n * weightBound G) :
transformed G (move G σ τ i history) + x (G.head (move G σ τ i history)) ≤ x i := by
have hn : (0 : ℤ) < G.n := by exact_mod_cast G.positive
have hW := weightBound_positive G
have hlt : x i < topWidth G := by unfold topWidth; nlinarith
have hsuper := hx.2.2 i hlt
by_cases ho : G.maxOwner i = true
· exact (max_edge_le_operator G x ho (move_tail G σ τ i history)).trans hsuper
· simpa only [move, ite_eq_right ho, τ] using (hedge i).2.symm.trans_le hsuper
have hstay : ∀ t : ℕ, x (position G σ τ start t).1 ≤ G.n * weightBound G := by
intro t
induction t with
| zero => exact hstart
| succ t ih =>
rw [next_position]
exact low_edge_stays_low G (top_bands G hx) ih
(hlocal (position G σ τ start t).1 (position G σ τ start t).2 ih)
intro t
refine ⟨hstay t, ?_⟩
rw [next_position]
exact hlocal (position G σ τ start t).1 (position G σ τ start t).2 (hstay t)
def vectorBound {n : ℕ} (p : Fin n → ℤ) : ℕ :=
Finset.univ.sup (fun i => (p i).natAbs)
theorem le_vectorBound {n : ℕ} (p : Fin n → ℤ) (i : Fin n) :
|p i| ≤ (vectorBound p : ℤ) := by
have h := Finset.le_sup (f := fun i => (p i).natAbs) (Finset.mem_univ i)
rw [← Int.natCast_natAbs]
exact_mod_cast h
noncomputable def average (w : ℕ → ℝ) (T : ℕ) : ℝ := (∑ j ∈ Finset.range T, w j) / T
theorem average_bounds {w : ℕ → ℝ} {M : ℝ} (hM : 0 ≤ M)
(hw : ∀ t, |w t| ≤ M) (T : ℕ) : -M ≤ average w T ∧ average w T ≤ M := by
by_cases hT : T = 0
· simp [hT, average, hM, neg_nonpos.mpr hM]
have ht : (0 : ℝ) < T := by exact_mod_cast Nat.pos_of_ne_zero hT
constructor
· apply (le_div_iff₀ ht).2
calc
-M * (T : ℝ) = ∑ j ∈ Finset.range T, -M := by simp; ring
_ ≤ ∑ j ∈ Finset.range T, w j :=
Finset.sum_le_sum (fun j _ => (abs_le.mp (hw j)).1)
· apply (div_le_iff₀ ht).2
calc
(∑ j ∈ Finset.range T, w j) ≤ ∑ j ∈ Finset.range T, M :=
Finset.sum_le_sum (fun j _ => (abs_le.mp (hw j)).2)
_ = M * (T : ℝ) := by simp; ring
theorem payoff_bounded (G : Game) (π : ℕ → Fin G.m) :
Filter.IsBoundedUnder (· ≤ ·) Filter.atTop
(average (fun t => (G.weight (π t) : ℝ))) ∧
Filter.IsBoundedUnder (· ≥ ·) Filter.atTop
(average (fun t => (G.weight (π t) : ℝ))) := by
let M : ℝ := vectorBound G.weight
have hM : 0 ≤ M := by positivity
have hw (t : ℕ) : |(G.weight (π t) : ℝ)| ≤ M := by
dsimp [M]
exact_mod_cast le_vectorBound G.weight (π t)
exact ⟨Filter.isBoundedUnder_of_eventually_le
(Filter.Eventually.of_forall fun t => (average_bounds hM hw t).2),
Filter.isBoundedUnder_of_eventually_ge
(Filter.Eventually.of_forall fun t => (average_bounds hM hw t).1)⟩
theorem lower_average_from_potential {w p : ℕ → ℝ} {K : ℝ}
(hp : ∀ t, |p t| ≤ K) (he : ∀ t, p t - p (t + 1) ≤ w t) (T : ℕ) :
(-2 * K) / (T : ℝ) ≤ average w T := by
apply div_le_div_of_nonneg_right _ (Nat.cast_nonneg T)
calc
-2 * K ≤ p 0 - p T := by
have h0 := (abs_le.mp (hp 0)).1
have hT := (abs_le.mp (hp T)).2
linarith
_ = ∑ j ∈ Finset.range T, (p j - p (j + 1)) := (Finset.sum_range_sub' p T).symm
_ ≤ ∑ j ∈ Finset.range T, w j := Finset.sum_le_sum fun j _ => he j
theorem upper_average_from_potential {w p : ℕ → ℝ} {K N δ : ℝ}
(hN : 0 < N) (hp : ∀ t, |p t| ≤ K)
(he : ∀ t, N * w t + δ ≤ p t - p (t + 1))
{T : ℕ} (hT : 0 < T) :
average w T ≤ (2 * K / N) / (T : ℝ) - δ / N := by
have ht : (0 : ℝ) < T := by exact_mod_cast hT
have hs : N * (∑ j ∈ Finset.range T, w j) + (T : ℝ) * δ ≤ 2 * K := by
calc
N * (∑ j ∈ Finset.range T, w j) + (T : ℝ) * δ =
∑ j ∈ Finset.range T, (N * w j + δ) := by
simp [Finset.sum_add_distrib, Finset.mul_sum]
_ ≤ ∑ j ∈ Finset.range T, (p j - p (j + 1)) :=
Finset.sum_le_sum fun j _ => he j
_ = p 0 - p T := Finset.sum_range_sub' p T
_ ≤ 2 * K := by
have h0 := (abs_le.mp (hp 0)).2
have hT := (abs_le.mp (hp T)).1
linarith
have hd := div_le_div_of_nonneg_right hs (le_of_lt (mul_pos hN ht))
have hleft : (N * (∑ j ∈ Finset.range T, w j) + (T : ℝ) * δ) / (N * T) =
average w T + δ / N := by
unfold average
field_simp
have hright : 2 * K / (N * (T : ℝ)) = (2 * K / N) / T := by ring
rw [hleft, hright] at hd
linarith
theorem high_payoff (G : Game) {x : Vec (Fin G.n)} (σ τ : Strategy G)
(start : Fin G.n)
(he : ∀ t, x (position G σ τ start t).1 ≤
transformed G (play G σ τ start t) + x (position G σ τ start (t + 1)).1) :
0 ≤ meanPayoff G (play G σ τ start) := by
obtain ⟨c, hc⟩ := exists_rounding_shift x
let q (i : Fin G.n) : ℤ := (x i - c) / (G.n + 1 : ℤ)
let p (t : ℕ) : ℝ := q (position G σ τ start t).1
let K : ℝ := vectorBound q
have hp (t : ℕ) : |p t| ≤ K := by
dsimp [p, K]
exact_mod_cast le_vectorBound q (position G σ τ start t).1
have hedge (t : ℕ) : p t - p (t + 1) ≤ (G.weight (play G σ τ start t) : ℝ) := by
have hN : (0 : ℤ) < G.n + 1 := by omega
have h := rounded_high_edge hN (hc (position G σ τ start t).1) (he t)
change q (position G σ τ start t).1 ≤
G.weight (play G σ τ start t) + q (position G σ τ start (t + 1)).1 at h
have hr : p t ≤ (G.weight (play G σ τ start t) : ℝ) + p (t + 1) := by
dsimp [p]
exact_mod_cast h
linarith
have hl := lower_average_from_potential hp hedge
have ht := tendsto_const_div_atTop_nhds_zero_nat (-2 * K)
have hb := (payoff_bounded G (play G σ τ start)).1
have hcb : Filter.IsCoboundedUnder (· ≥ ·) Filter.atTop
(average (fun t => (G.weight (play G σ τ start t) : ℝ))) :=
Filter.IsBounded.isCobounded_flip hb
have hm := Filter.liminf_le_liminf (Filter.Eventually.of_forall hl)
ht.isBoundedUnder_ge hcb
rw [ht.liminf_eq] at hm
exact hm
theorem low_payoff (G : Game) {x : Vec (Fin G.n)} (σ τ : Strategy G)
(start : Fin G.n)
(he : ∀ t, transformed G (play G σ τ start t) +
x (position G σ τ start (t + 1)).1 ≤ x (position G σ τ start t).1) :
meanPayoff G (play G σ τ start) ≤ -1 / (G.n + 1 : ℝ) := by
let p (t : ℕ) : ℝ := x (position G σ τ start t).1
let K : ℝ := vectorBound x
have hp (t : ℕ) : |p t| ≤ K := by
dsimp [p, K]
exact_mod_cast le_vectorBound x (position G σ τ start t).1
have hedge (t : ℕ) : (G.n + 1 : ℝ) * G.weight (play G σ τ start t) + 1 ≤
p t - p (t + 1) := by
have h := he t
unfold transformed at h
have hr : (G.n + 1 : ℝ) * G.weight (play G σ τ start t) + 1 + p (t + 1) ≤ p t := by
dsimp [p]
exact_mod_cast h
linarith
have hN : (0 : ℝ) < G.n + 1 := by positivity
have hev : ∀ᶠ T : ℕ in Filter.atTop,
average (fun t => (G.weight (play G σ τ start t) : ℝ)) T ≤
(2 * K / (G.n + 1 : ℝ)) / T - 1 / (G.n + 1 : ℝ) := by
filter_upwards [Filter.eventually_gt_atTop 0] with T hT
exact upper_average_from_potential hN hp hedge hT
have ht := (tendsto_const_div_atTop_nhds_zero_nat (2 * K / (G.n + 1 : ℝ))).sub_const
(1 / (G.n + 1 : ℝ))
have hcb : Filter.IsCoboundedUnder (· ≥ ·) Filter.atTop
(fun T : ℕ => (2 * K / (G.n + 1 : ℝ)) / T - 1 / (G.n + 1 : ℝ)) :=
Filter.IsBounded.isCobounded_flip ht.isBoundedUnder_le
have hm := Filter.liminf_le_liminf hev (payoff_bounded G (play G σ τ start)).2 hcb
rw [ht.liminf_eq] at hm
change meanPayoff G (play G σ τ start) ≤ (0 : ℝ) - 1 / (G.n + 1 : ℝ) at hm
rw [show (-1 : ℝ) / (G.n + 1 : ℝ) = 0 - 1 / (G.n + 1 : ℝ) by ring]
exact hm
theorem winning_iff_high (G : Game) {x : Vec (Fin G.n)}
(hx : Subsolution (operator G) (fun _ => 0) (fun _ => topWidth G) x ∧
Supersolution (operator G) (fun _ => 0) (fun _ => topWidth G) x) (v : Fin G.n) :
Winning G v ↔ topWidth G / 2 < x v := by
have hn : (0 : ℤ) < G.n := by exact_mod_cast G.positive
have hW := weightBound_positive G
have hhalf : topWidth G / 2 = 4 * G.n * weightBound G := by
unfold topWidth
rw [show 8 * (G.n : ℤ) * weightBound G = (4 * G.n * weightBound G) * 2 by ring]
omega
constructor
· rintro ⟨σ, hσ⟩
rcases top_bands G hx v with hl | hh
· obtain ⟨τ, hτ⟩ := low_strategy G hx
have he := fun t => (hτ σ v hl t).2
have hp := low_payoff G σ τ v he
have hneg : (-1 : ℝ) / (G.n + 1 : ℝ) < 0 := div_neg_of_neg_of_pos (by norm_num) (by positivity)
exact False.elim (not_lt_of_ge ((hσ τ).trans hp) hneg)
· rw [hhalf]
nlinarith
· intro hv
obtain ⟨σ, hσ⟩ := high_strategy G hx
refine ⟨σ, fun τ => ?_⟩
have hh : 7 * G.n * weightBound G ≤ x v := by
rcases top_bands G hx v with hl | hh
· rw [hhalf] at hv
nlinarith
· exact hh
exact high_payoff G σ τ v fun t => (hσ τ v hh t).2
def mass {n : ℕ} (a : Fin n → ℚ) (S : Finset (Fin n)) : ℚ := ∑ i ∈ S, a i
def lowerActive {n : ℕ} (a y : Vec (Fin n)) : Finset (Fin n) :=
Finset.univ.filter (fun i => a i < y i)
def upperActive {n : ℕ} (b z : Vec (Fin n)) : Finset (Fin n) :=
Finset.univ.filter (fun i => z i < b i)
theorem mass_nonneg {n : ℕ} {a : Fin n → ℚ} (ha : ∀ i, 0 ≤ a i) (S : Finset (Fin n)) :
0 ≤ mass a S := Finset.sum_nonneg (fun i _ => ha i)
theorem mass_mono {n : ℕ} {a : Fin n → ℚ} (ha : ∀ i, 0 ≤ a i)
{S T : Finset (Fin n)} (hST : S ⊆ T) : mass a S ≤ mass a T :=
Finset.sum_le_sum_of_subset_of_nonneg hST (fun i _ _ => ha i)
theorem weight_le_mass {n : ℕ} {a : Fin n → ℚ} (ha : ∀ i, 0 ≤ a i)
{S : Finset (Fin n)} {i : Fin n} (hi : i ∈ S) : a i ≤ mass a S :=
Finset.single_le_sum (fun i _ => ha i) hi
end MeanPayoff
end
end OAI