mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Combinatorics.SimpleGraph.CompleteMultipartite

Goal state before:
pp: case neg.refine_4
α : Type u
G✝ : SimpleGraph α
s : Set α
V : Type u_1
G : SimpleGraph V
r t : ℕ
K : G.CompleteEquipartiteSubgraph r t
f : (completeEquipartiteGraph r t).Copy G
ht : ¬t = 0
p✝ : Finset V
w✝ : Fin r
h : map { toFun := fun j ↦ f (w✝, j), inj' := ⋯ } univ = p✝
⊢ #p✝ = t

Tactic:
simp [← h]

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.Zarankiewicz

Goal state before:
pp: case hb
n s t : ℕ
α : Type u_3
β : Type u_4
inst✝⁴ : Fintype α
inst✝³ : Fintype β
inst✝² : Nonempty α
inst✝¹ : Nonempty β
hs : Fintype.card α = s
ht : Fintype.card β = t
G : SimpleGraph (Fin n)
inst✝ : DecidableRel G.Adj
h : (completeBipartiteGraph α β).Free G
⊢ (completeBipartiteGraph (Fin s) (Fin t)).Free G.bipartiteDoubleCover

Tactic:
contrapose! h

Goal state after:
case hb
n s t : ℕ
α : Type u_3
β : Type u_4
inst✝⁴ : Fintype α
inst✝³ : Fintype β
inst✝² : Nonempty α
inst✝¹ : Nonempty β
hs : Fintype.card α = s
ht : Fintype.card β = t
G : SimpleGraph (Fin n)
inst✝ : DecidableRel G.Adj
h : completeBipartiteGraph (Fin s) (Fin t) ⊑ G.bipartiteDoubleCover
⊢ completeBipartiteGraph α β ⊑ G
Module: Mathlib.Combinatorics.SimpleGraph.FiveWheelLike

Goal state before:
pp: α : Type u_1
s : Finset α
G : SimpleGraph α
r k : ℕ
inst✝ : DecidableEq α
v w₁ w₂ : α
t : Finset α
hw : G.IsFiveWheelLike r k v w₁ w₂ s t
h : G.CliqueFree (r + 2)
⊢ k < r

Tactic:
contrapose! h

Goal state after:
α : Type u_1
s : Finset α
G : SimpleGraph α
r k : ℕ
inst✝ : DecidableEq α
v w₁ w₂ : α
t : Finset α
hw : G.IsFiveWheelLike r k v w₁ w₂ s t
h : r ≤ k
⊢ ¬G.CliqueFree (r + 2)
Module: Mathlib.Combinatorics.SimpleGraph.Hamiltonian

Goal state before:
pp: α : Type u_1
inst✝ : DecidableEq α
G : SimpleGraph α
a b : α
p : G.Walk a b
h : Infinite α
⊢ ¬p.IsHamiltonian

Tactic:
contrapose! h

Goal state after:
α : Type u_1
inst✝ : DecidableEq α
G : SimpleGraph α
a b : α
p : G.Walk a b
h : p.IsHamiltonian
⊢ Finite α
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.ErdosStoneSimonovits

Goal state before:
pp: case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
⊢ ∀ᶠ (n : ℕ) in atTop,
    ∀ {G : SimpleGraph (Fin n)} [inst : DecidableRel G.Adj],
      ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n → completeEquipartiteGraph (r + 1) t ⊑ G

Tactic:
refine eventually_atTop.mpr ⟨N, fun n hn {G} _ hδ ↦ ?_⟩

Goal state after:
case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
ih :
  ∀ (b : ℕ),
    N' ≤ b →
      ∀ {G : SimpleGraph (Fin b)} [inst : DecidableRel G.Adj],
        ↑G.minDegree ≥ (1 - 1 / ↑(r - 1) + ε') * ↑b → completeEquipartiteGraph (r - 1 + 1) t' ⊑ G
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
⊢ completeEquipartiteGraph (r + 1) t ⊑ G
Module: Mathlib.Combinatorics.SimpleGraph.Hamiltonian

Goal state before:
pp: α : Type u_1
inst✝ : DecidableEq α
G : SimpleGraph α
a : α
p : G.Walk a a
h : Infinite α
⊢ ¬p.IsHamiltonianCycle

Tactic:
contrapose! h

Goal state after:
α : Type u_1
inst✝ : DecidableEq α
G : SimpleGraph α
a : α
p : G.Walk a a
h : p.IsHamiltonianCycle
⊢ Finite α
Module: Mathlib.Combinatorics.SimpleGraph.LapMatrix

Goal state before:
pp: V : Type u_1
R : Type u_2
inst✝³ : Fintype V
G : SimpleGraph V
inst✝² : DecidableRel G.Adj
inst✝¹ : DecidableEq V
inst✝ : NonAssocSemiring R
v : V
vec : V → R
⊢ (degMatrix R G *ᵥ vec) v = ↑(G.degree v) * vec v

Tactic:
rw [degMatrix, mulVec_diagonal]

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Matching

Goal state before:
pp: V : Type u_1
G G' : SimpleGraph V
M : G.Subgraph
hM : M.IsPerfectMatching
hG' : G'.IsAlternating M.spanningCoe
hG'cyc : G'.IsCycles
v : V
⊢ ∃! w, ⊤.Adj v w

Tactic:
simp only [symmDiff_def]

Goal state after:
V : Type u_1
G G' : SimpleGraph V
M : G.Subgraph
hM : M.IsPerfectMatching
hG' : G'.IsAlternating M.spanningCoe
hG'cyc : G'.IsCycles
v : V
⊢ ∃! w, ⊤.Adj v w
Module: Mathlib.Combinatorics.SimpleGraph.FiveWheelLike

Goal state before:
pp: α : Type u_1
G : SimpleGraph α
r k : ℕ
v w₁ w₂ : α
s t : Finset α
inst✝² : DecidableEq α
hw : G.IsFiveWheelLike r k v w₁ w₂ s t
hcf : G.CliqueFree (r + 2)
inst✝¹ : DecidableRel G.Adj
inst✝ : Fintype α
hm : G.FiveWheelLikeFree r (k + 1)
X : Finset α := {x | ∀ ⦃y : α⦄, y ∈ s ∩ t → G.Adj x y}
W : Finset α := {v} ∪ ({w₁} ∪ ({w₂} ∪ (s ∪ t)))
dXle : ∀ x ∈ X, 3 ≤ #({z ∈ W | ¬G.Adj x z})
one_le : ∀ (x : α), 1 ≤ #({z ∈ {v} ∪ ({w₁} ∪ ({w₂} ∪ (s ∪ t))) | ¬G.Adj x z})
bdW : ∑ w ∈ W, G.degree w ≤ #X * (#W - 3) + #Xᶜ * (#W - 1)
xcle : ∀ x ∈ Xᶜ, 1 ≤ #({z ∈ s ∩ t | ¬G.Adj x z})
bdX : ∑ w ∈ s ∩ t, G.degree w ≤ #X * #(s ∩ t) + #Xᶜ * (#(s ∩ t) - 1)
⊢ G.minDegree * (2 * r + k + 3) ≤ (2 * r + k) * ‖α‖

Tactic:
have Wc : #W + k = 2 * r + 3 := by grind

Goal state after:
α : Type u_1
G : SimpleGraph α
r k : ℕ
v w₁ w₂ : α
s t : Finset α
inst✝² : DecidableEq α
hw : G.IsFiveWheelLike r k v w₁ w₂ s t
hcf : G.CliqueFree (r + 2)
inst✝¹ : DecidableRel G.Adj
inst✝ : Fintype α
hm : G.FiveWheelLikeFree r (k + 1)
X : Finset α := {x | ∀ ⦃y : α⦄, y ∈ s ∩ t → G.Adj x y}
W : Finset α := {v} ∪ ({w₁} ∪ ({w₂} ∪ (s ∪ t)))
dXle : ∀ x ∈ X, 3 ≤ #({z ∈ W | ¬G.Adj x z})
one_le : ∀ (x : α), 1 ≤ #({z ∈ {v} ∪ ({w₁} ∪ ({w₂} ∪ (s ∪ t))) | ¬G.Adj x z})
bdW : ∑ w ∈ W, G.degree w ≤ #X * (#W - 3) + #Xᶜ * (#W - 1)
xcle : ∀ x ∈ Xᶜ, 1 ≤ #({z ∈ s ∩ t | ¬G.Adj x z})
bdX : ∑ w ∈ s ∩ t, G.degree w ≤ #X * #(s ∩ t) + #Xᶜ * (#(s ∩ t) - 1)
Wc : #W + k = 2 * r + 3
⊢ G.minDegree * (2 * r + k + 3) ≤ (2 * r + k) * ‖α‖
Module: Mathlib.Combinatorics.SimpleGraph.Trails

Goal state before:
pp: V : Type u_1
G : SimpleGraph V
inst✝ : DecidableEq V
u v : V
p : G.Walk u v
hp : p.IsTrail
h : p.edgeSet = G.edgeSet
⊢ ∀ e ∈ G.edgeSet, e ∈ p.edges

Tactic:
simp [← h]

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Extremal.ErdosStoneSimonovits

Goal state before:
pp: case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
ih : completeEquipartiteGraph r t' ⊑ G
K : G.CompleteEquipartiteSubgraph r t'
y : (a : Finset (Fin n)) → a ∈ K.parts → Finset (Fin n)
hy✝ : y ∈ K.parts.pi fun x ↦ powersetCard t x
hy : ∀ (a : Finset (Fin n)) (h : a ∈ K.parts), y a h ∈ powersetCard t a
ht_le_card_filter : t ≤ #{w | ErdosStone.filter.pi K w = ⟨y, hy✝⟩}
s : Finset ↥(ErdosStone.filter K t)
hs_subset : s ⊆ {w | ErdosStone.filter.pi K w = ⟨y, hy✝⟩}
hcards : #s = t
K' : G.CompleteEquipartiteSubgraph r t :=
  { parts := Finset.map { toFun := fun p ↦ y ↑p ⋯, inj' := ⋯ } univ, card_parts := ⋯, card_mem_parts := ⋯,
    isCompleteBetween := ⋯ }
p' : Finset (Fin n)
hp' : p' ∈ K'.parts
v : Fin n
hv : v ∈ ↑p'
w : Fin n
hw : w ∈ ↑(Finset.map (Function.Embedding.subtype fun x ↦ x ∈ ErdosStone.filter K t) s)
w' : ↥(ErdosStone.filter K t)
hw'_mem : w' ∈ s
hw'_eq : ↑w' = w
⊢ G.Adj v w

Tactic:
K',

Goal state after:
case inr
ε : ℝ
hε : 0 < ε
r t : ℕ
hr_pos : 0 < r
ht_pos : 0 < t
ε' : ℝ := 1 / (↑(r - 1) * ↑r) + ε
hε' : 0 < ε'
t' : ℕ := ⌊↑t / (↑r * ε)⌋₊ + 1
ht_lt_rt'ε : ↑t < ↑r * ↑t' * ε
ht'_pos : 0 < t'
N' : ℕ
N : ℕ := max (max 1 N') ⌈(↑(t'.choose t) ^ r * ↑t + ↑r * ↑t') * (↑t' - ↑t) / (↑r * ↑t' * ε - ↑t)⌉₊
n : ℕ
hn : N ≤ n
G : SimpleGraph (Fin n)
x✝ : DecidableRel G.Adj
hδ : ↑G.minDegree ≥ (1 - 1 / ↑r + ε) * ↑n
this : Nonempty (Fin n)
hrε_lt_1 : ↑r * ε < 1
ht_lt_t' : t < t'
ih : completeEquipartiteGraph r t' ⊑ G
K : G.CompleteEquipartiteSubgraph r t'
y : (a : Finset (Fin n)) → a ∈ K.parts → Finset (Fin n)
hy✝ : y ∈ K.parts.pi fun x ↦ powersetCard t x
hy : ∀ (a : Finset (Fin n)) (h : a ∈ K.parts), y a h ∈ powersetCard t a
ht_le_card_filter : t ≤ #{w | ErdosStone.filter.pi K w = ⟨y, hy✝⟩}
s : Finset ↥(ErdosStone.filter K t)
hs_subset : s ⊆ {w | ErdosStone.filter.pi K w = ⟨y, hy✝⟩}
hcards : #s = t
K' : G.CompleteEquipartiteSubgraph r t :=
  { parts := Finset.map { toFun := fun p ↦ y ↑p ⋯, inj' := ⋯ } univ, card_parts := ⋯, card_mem_parts := ⋯,
    isCompleteBetween := ⋯ }
p' : Finset (Fin n)
hp' : p' ∈ Finset.map { toFun := fun p ↦ y ↑p ⋯, inj' := ⋯ } univ
v : Fin n
hv : v ∈ ↑p'
w : Fin n
hw : w ∈ ↑(Finset.map (Function.Embedding.subtype fun x ↦ x ∈ ErdosStone.filter K t) s)
w' : ↥(ErdosStone.filter K t)
hw'_mem : w' ∈ s
hw'_eq : ↑w' = w
⊢ G.Adj v w
Module: Mathlib.Combinatorics.Young.SemistandardTableau

Goal state before:
pp: μ : YoungDiagram
T : SemistandardYoungTableau μ
i1 i2 j : ℕ
hi : i1 ≤ i2
cell : (i2, j) ∈ μ
⊢ T i1 j ≤ T i2 j

Tactic:
rcases eq_or_lt_of_le hi with h | h

Goal state after:
case inl
μ : YoungDiagram
T : SemistandardYoungTableau μ
i1 i2 j : ℕ
hi : i1 ≤ i2
cell : (i2, j) ∈ μ
h : i1 = i2
⊢ T i1 j ≤ T i2 j

case inr
μ : YoungDiagram
T : SemistandardYoungTableau μ
i1 i2 j : ℕ
hi : i1 ≤ i2
cell : (i2, j) ∈ μ
h : i1 < i2
⊢ T i1 j ≤ T i2 j
Module: Mathlib.Data.Nat.PSub

Goal state before:
pp: m n k : ℕ
⊢ m.psub (n + k) = do
    let __do_lift ← m.psub n
    __do_lift.psub k

Tactic:
induction k with

Goal state after:
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : α → β → σ
⊢ Primrec (Function.uncurry f) ↔ Primrec₂ f

Tactic:
rw [show Function.uncurry f = fun p : α × β => f p.1 p.2 from funext fun ⟨a, b⟩ => rfl]

Goal state after:
α : Type u_1
β : Type u_2
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : α → β → σ
⊢ (Primrec fun p ↦ f p.1 p.2) ↔ Primrec₂ f
Module: Mathlib.Computability.Primrec.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : α → β → σ
⊢ (Primrec₂ fun a n ↦ Option.map (f a) (decode n)) ↔ Primrec₂ f

Tactic:
simp only [Option.map_eq_bind]

Goal state after:
α : Type u_1
β : Type u_2
σ : Type u_3
inst✝² : Primcodable α
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : α → β → σ
⊢ (Primrec₂ fun a n ↦ (decode n).bind (some ∘ f a)) ↔ Primrec₂ f
Module: Mathlib.Computability.Primrec.List

Goal state before:
pp: β : Type u_2
σ : Type u_4
inst✝¹ : Primcodable β
inst✝ : Primcodable σ
f : β → σ
m : β → ℕ
l : β → List β
g : β → List σ → Option σ
hm : Primrec m
hl : Primrec l
hg : Primrec₂ g
Ord : ∀ (b b' : β), b' ∈ l b → m b' < m b
H : ∀ (b : β), g b (List.map f (l b)) = some (f b)
this✝ : DecidableEq β
mapGraph : List (β × σ) → List β → List σ := fun M bs ↦ List.flatMap (fun x ↦ (List.lookup x M).toList) bs
bindList : β → ℕ → List β := fun b n ↦ Nat.rec [b] (fun x bs ↦ List.flatMap l bs) n
graph : β → ℕ → List (β × σ) :=
  fun b i ↦
    Nat.rec []
      (fun i ih ↦
        List.filterMap (fun b' ↦ Option.map (fun x ↦ (b', x)) (g b' (mapGraph ih (l b')))) (bindList b (m b - i)))
      i
mapGraph_primrec : Primrec₂ mapGraph
bindList_primrec : Primrec₂ bindList
graph_primrec : Primrec₂ graph
this : Primrec fun b ↦ Option.map Prod.snd (graph b (m b + 1))[0]?
b : β
i : ℕ
hi : i ≤ m b + 1
k : ℕ
⊢ ∀ b' ∈ bindList b k, m b' < m b + 1 - k

Tactic:
induction k with

Goal state after:
Module: Mathlib.Computability.Partrec

Goal state before:
pp: α : Type u_1
inst✝ : Primcodable α
p : α → ℕ →. Bool
hp : Partrec₂ p
n : ℕ
⊢ (Nat.rfind fun n_1 ↦
      (fun m ↦ decide (m = 0)) <$>
        (↑(decode (Nat.pair n n_1))).bind fun a ↦
          Part.map encode ((fun a ↦ Part.map (fun b ↦ bif (a, b).2 then 0 else 1) (p a.1 a.2)) a)) =
    (↑(decode n)).bind fun a ↦ Part.map encode ((fun a ↦ Nat.rfind (p a)) a)

Tactic:
rcases e : decode (α := α) n <;> simp [e, Nat.rfind_zero_none, map_map, map_id']

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf : GrowsPolynomially f
hf' : ∃ᶠ (x : ℝ) in atTop, f x = 0
⊢ 1 / 2 ∈ Set.Ioo 0 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf✝ : GrowsPolynomially f
hf' : ∀ (a : ℝ), ∃ b, a ≤ b ∧ f b = 0
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (1 / 2 * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
x : ℝ
hx : ∀ (y : ℝ), x ≤ y → ∀ u ∈ Set.Icc (1 / 2 * y) y, f u ∈ Set.Icc (c₁ * f y) (c₂ * f y)
hx_pos : 0 < x
x₀ : ℝ
hx₀_ge : max x 1 ≤ x₀
hx₀ : f x₀ = 0
⊢ 0 < 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.Ackermann

Goal state before:
pp: h : Nat.Primrec fun n ↦ ack n n
⊢ False

Tactic:
by
  obtain ⟨m, hm⟩ := exists_lt_ack_of_nat_primrec h
  exact (hm m).false

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: ⊢ 0 < 2

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Tutte

Goal state before:
pp: V : Type u_1
G : SimpleGraph V
inst✝ : Finite V
h : ∀ (M : G.Subgraph), ¬M.IsPerfectMatching
hvEven : Even (Nat.card V)
val✝ : Fintype V
Gmax : SimpleGraph V
hSubgraph : G ≤ Gmax
hMatchingFree : Gmax.IsMatchingFree
hMaximal : ∀ G' > Gmax, ∃ M, M.IsPerfectMatching
hc✝ : ¬Fintype.card ↑Gmax.universalVerts < Fintype.card ↑(⊤.deleteVerts Gmax.universalVerts).coe.oddComponents
K : Gmax.deleteUniversalVerts.coe.ConnectedComponent
hK : ¬Gmax.deleteUniversalVerts.coe.IsClique K.supp
x✝ y : ↑K.supp
hxy : x✝ ≠ y ∧ ¬Gmax.deleteUniversalVerts.coe.Adj ↑x✝ ↑y
p : K.toSimpleGraph.Walk x✝ y
hp : p.IsPath ∧ p.length = K.toSimpleGraph.dist x✝ y
x a b : ↥K
hnxb : x ≠ b
hxa : Gmax.Adj ↑↑x ↑↑a
hxb : Gmax.Adj ↑↑a ↑↑b
hnadjxb : ¬Gmax.Adj ↑↑x ↑↑b
c : V
hc : ↑↑a ≠ c ∧ ¬Gmax.Adj (↑↑a) c
hbnec : ↑↑b ≠ c
w✝ : (Gmax ⊔ edge ↑↑x ↑↑b).Subgraph
hG1 : w✝.IsPerfectMatching
⊢ ¬?m.343 ≤ Gmax

Tactic:
by
      rwa [edge_le_iff (v := a.1.1) (w := c), not_or]

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf✝ : GrowsPolynomially f
hf' : ∀ (a : ℝ), ∃ b, a ≤ b ∧ f b = 0
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (1 / 2 * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
x : ℝ
hx_pos : 0 < x
x₀ : ℝ
hx₀_ge : max x 1 ≤ x₀
hx₀ : f x₀ = 0
x₀_pos : 0 < x₀
k : ℕ
ih : f (2 ^ (-↑k - 1) * x₀) = 0
z : ℝ
hxz : x ≤ z
hz : z ∈ Set.Icc (2 ^ (-(↑k + 1) - 1) * x₀) (2 ^ (-(↑k + 1)) * x₀)
hx' : x ≤ 2 ^ (-↑k - 1) * x₀
hx : z ∈ Set.Icc (1 / 2 * (2 ^ (-↑k - 1) * x₀)) (2 ^ (-↑k - 1) * x₀) → f z = 0
⊢ 2 ≠ 0

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.AkraBazzi

Goal state before:
pp: p : ℝ
hp : p ≠ 0
⊢ 2 ≠ 0

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
c : ℝ := b (max_bi b) + (1 - b (max_bi b)) / 2
h_max_bi_pos : 0 < b (max_bi b)
h_max_bi_lt_one : 0 < 1 - b (max_bi b)
hc_pos : 0 < c
h₁ : 0 < (1 - b (max_bi b)) / 2
⊢ 1 * (1 / 2) + 1 / 2 = 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf✝ : GrowsPolynomially f
hf' : ∀ (a : ℝ), ∃ b, a ≤ b ∧ f b = 0
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (1 / 2 * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
x : ℝ
hx : ∀ (y : ℝ), x ≤ y → ∀ u ∈ Set.Icc (1 / 2 * y) y, f u ∈ Set.Icc (c₁ * f y) (c₂ * f y)
hx_pos : 0 < x
x₀ : ℝ
hx₀_ge : max x 1 ≤ x₀
hx₀ : f x₀ = 0
x₀_pos : 0 < x₀
hmain : ∀ (m : ℕ) (z : ℝ), x ≤ z → z ∈ Set.Icc (2 ^ (-↑m - 1) * x₀) (2 ^ (-↑m) * x₀) → f z = 0
⊢ 1 < 2

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf✝ : GrowsPolynomially f
hf' : ∀ (a : ℝ), ∃ b, a ≤ b ∧ f b = 0
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (1 / 2 * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
x : ℝ
hx : ∀ (y : ℝ), x ≤ y → ∀ u ∈ Set.Icc (1 / 2 * y) y, f u ∈ Set.Icc (c₁ * f y) (c₂ * f y)
hx_pos : 0 < x
x₀ : ℝ
hx₀_ge : max x 1 ≤ x₀
hx₀ : f x₀ = 0
x₀_pos : 0 < x₀
hmain : ∀ (m : ℕ) (z : ℝ), x ≤ z → z ∈ Set.Icc (2 ^ (-↑m - 1) * x₀) (2 ^ (-↑m) * x₀) → f z = 0
⊢ 0 < 2

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf✝ : GrowsPolynomially f
hf' : ∀ (a : ℝ), ∃ b, a ≤ b ∧ f b = 0
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (1 / 2 * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
x : ℝ
hx : ∀ (y : ℝ), x ≤ y → ∀ u ∈ Set.Icc (1 / 2 * y) y, f u ∈ Set.Icc (c₁ * f y) (c₂ * f y)
hx_pos : 0 < x
x₀ : ℝ
hx₀_ge : max x 1 ≤ x₀
hx₀ : f x₀ = 0
x₀_pos : 0 < x₀
hmain : ∀ (m : ℕ) (z : ℝ), x ≤ z → z ∈ Set.Icc (2 ^ (-↑m - 1) * x₀) (2 ^ (-↑m) * x₀) → f z = 0
⊢ 2 ≠ 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf : GrowsPolynomially f
⊢ 1 / 2 ∈ Set.Ioo 0 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: ⊢ 2 ≠ 0

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
i : α
⊢ (fun n ↦ 1 / log (b i * ↑n) - 1 / log ↑n) =ᶠ[atTop] fun n ↦ (log ↑n - log (b i * ↑n)) / (log (b i * ↑n) * log ↑n)

Tactic:
filter_upwards [eventually_gt_atTop 1, R.eventually_log_b_mul_pos] with n hn hn'
      have h_log_pos : 0 < log n := Real.log_pos <| by simp_all
      simp only [one_div]
      rw [inv_sub_inv (by have := hn' i; positivity) (by aesop)]

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f : ℝ → ℝ
hf : GrowsPolynomially f
c₁ : ℝ
left✝¹ : c₁ > 0
c₂ : ℝ
left✝ : c₂ > 0
heq : c₁ = c₂
n₀ : ℝ
hn₀ : ∀ (b : ℝ), n₀ ≤ b → ∀ u ∈ Set.Icc (1 / 2 * b) b, f u = c₂ * f b
⊢ 1 < 2

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.SumTransform

Goal state before:
pp: α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
n : ℕ
hn : 0 < n
⊢ 0 < asympBound g a b n

Tactic:
by
  calc 0 < (n : ℝ) ^ p a b * (1 + 0) := by aesop (add safe Real.rpow_pos_of_pos)
       _ ≤ asympBound g a b n := by
        simp only [asympBound_def']
        gcongr n ^ p a b * (1 + ?_)
        have := R.g_nonneg
        aesop (add safe Real.rpow_nonneg, safe div_nonneg, safe Finset.sum_nonneg)

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: c x✝¹ : ℝ
x✝ : x✝¹ ∈ Set.Ioo 0 1
⊢ 1 > 0

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: b : ℝ
hb : b ∈ Set.Ioo 0 1
⊢ 1 > 0

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f g : ℝ → ℝ
hf : GrowsPolynomially f
hg : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
⊢ ∃ c₁ > 0,
    ∃ c₂ > 0,
      ∀ᶠ (x : ℝ) in atTop,
        ∀ u ∈ Set.Icc (b * x) x,
          (fun x ↦ |f x| * |g x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x| * |g x|) x) (c₂ * (fun x ↦ |f x| * |g x|) x)

Tactic:
have hf := hf.abs b hb

Goal state after:
f g : ℝ → ℝ
hf✝ : GrowsPolynomially f
hg : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
hf :
  ∃ c₁ > 0,
    ∃ c₂ > 0,
      ∀ᶠ (x : ℝ) in atTop,
        ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |f x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x|) x) (c₂ * (fun x ↦ |f x|) x)
⊢ ∃ c₁ > 0,
    ∃ c₂ > 0,
      ∀ᶠ (x : ℝ) in atTop,
        ∀ u ∈ Set.Icc (b * x) x,
          (fun x ↦ |f x| * |g x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x| * |g x|) x) (c₂ * (fun x ↦ |f x| * |g x|) x)
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f g : ℝ → ℝ
hf✝ : GrowsPolynomially f
hg✝ : GrowsPolynomially g
b : ℝ
hb : b ∈ Set.Ioo 0 1
c₁ : ℝ
hc₁_mem : c₁ > 0
c₂ : ℝ
hc₂_mem : c₂ > 0
hf :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |f x|) u ∈ Set.Icc (c₁ * (fun x ↦ |f x|) x) (c₂ * (fun x ↦ |f x|) x)
c₃ : ℝ
hc₃_mem : c₃ > 0
c₄ : ℝ
hc₄_mem : c₄ > 0
hg :
  ∀ᶠ (x : ℝ) in atTop,
    ∀ u ∈ Set.Icc (b * x) x, (fun x ↦ |g x|) u ∈ Set.Icc (c₃ * (fun x ↦ |g x|) x) (c₄ * (fun x ↦ |g x|) x)
⊢ c₁ * c₃ > 0

Tactic:
change 0 < c₁ * c₃; positivity

Goal state after:
Module: Mathlib.Computability.AkraBazzi.AkraBazzi

Goal state before:
pp: case refine_1
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n : ℕ) in atTop, 0 ≤ T n

pp: case refine_2
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n : ℕ) in atTop, 0 < (1 - ε ↑n) * asympBound g a b n

pp: case refine_3
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n₀ : ℕ) in atTop,
    ∃ C₀,
      ∀ᶠ (n : ℕ) in atTop,
        ∀ C ≥ C₀,
          (∀ m ∈ Ico n₀ n, T m ≤ C * ((1 - ε ↑m) * asympBound g a b m)) → T n ≤ C * ((1 - ε ↑n) * asympBound g a b n)

Tactic:
· exact Eventually.of_forall fun h => R.T_nonneg _

Goal state after:
case refine_2
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n : ℕ) in atTop, 0 < (1 - ε ↑n) * asympBound g a b n

case refine_3
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n₀ : ℕ) in atTop,
    ∃ C₀,
      ∀ᶠ (n : ℕ) in atTop,
        ∀ C ≥ C₀,
          (∀ m ∈ Ico n₀ n, T m ≤ C * ((1 - ε ↑m) * asympBound g a b m)) → T n ≤ C * ((1 - ε ↑n) * asympBound g a b n)
Module: Mathlib.Computability.AkraBazzi.AkraBazzi

Goal state before:
pp: case refine_2
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
⊢ ∀ᶠ (n : ℕ) in atTop, 0 < (1 - ε ↑n) * asympBound g a b n

Tactic:
filter_upwards [R.eventually_asympBound_pos, eventually_one_sub_smoothingFn_pos] with n hn hn₂

Goal state after:
α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
n : ℕ
hn : 0 < asympBound g a b n
hn₂ : 0 < 1 - ε ↑n
⊢ 0 < (1 - ε ↑n) * asympBound g a b n
Module: Mathlib.Computability.AkraBazzi.AkraBazzi

Goal state before:
pp: α : Type u_1
inst✝¹ : Fintype α
T : ℕ → ℝ
g : ℝ → ℝ
a b : α → ℝ
r : α → ℕ → ℕ
inst✝ : Nonempty α
R : AkraBazziRecurrence T g a b r
b' : ℝ := b (min_bi b) / 2
hb_pos : 0 < b'
c₁ : ℝ
hc₁ : c₁ > 0
h_sumTransform_aux : ∀ᶠ (n : ℕ) in atTop, ∀ (i : α), c₁ * g ↑n ≤ sumTransform (p a b) g (r i n) n
n₀ : ℕ
n₀_ge_Rn₀ : R.n₀ ≤ n₀
⊢ 1 / 2 < 1

Tactic:
by norm_num

Goal state after:
Module: Mathlib.Computability.AkraBazzi.GrowsPolynomially

Goal state before:
pp: f g : ℝ → ℝ
hf✝ : GrowsPolynomially f
hfg : ∀ ⦃c : ℝ⦄, 0 < c → ∀ᶠ (x : ℝ) in atTop, ‖g x‖ ≤ c * ‖f x‖
b : ℝ
hb : b ∈ Set.Ioo 0 1
hb_ub : b < 1
hf' : ∀ᶠ (x : ℝ) in atTop, 0 ≤ f x
c₁ : ℝ
hc₁_mem : 0 < c₁
c₂ : ℝ
hc₂_mem : 0 < c₂
hf : ∀ᶠ (x : ℝ) in atTop, ∀ u ∈ Set.Icc (b * x) x, f u ∈ Set.Icc (c₁ * f x) (c₂ * f x)
⊢ 0 < 1 / 2

Tactic:
by norm_num

Goal state after: