mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.NumberTheory.Padics.Hensel

Goal state before:
pp: p : ℕ
inst✝² : Fact (Nat.Prime p)
R : Type u_1
inst✝¹ : CommSemiring R
inst✝ : Algebra R ℤ_[p]
F : Polynomial R
a : ℤ_[p]
hnorm : ‖(Polynomial.aeval a) F‖ < ‖(Polynomial.aeval a) (Polynomial.derivative F)‖ ^ 2
⊢ ∃ z,
    (Polynomial.aeval z) F = 0 ∧
      ‖z - a‖ < ‖(Polynomial.aeval a) (Polynomial.derivative F)‖ ∧
        ‖(Polynomial.aeval z) (Polynomial.derivative F)‖ = ‖(Polynomial.aeval a) (Polynomial.derivative F)‖ ∧
          ∀ (z' : ℤ_[p]),
            (Polynomial.aeval z') F = 0 → ‖z' - a‖ < ‖(Polynomial.aeval a) (Polynomial.derivative F)‖ → z' = z

Tactic:
classical
  exact if ha : F.aeval a = 0 then ⟨a, a_is_soln hnorm ha⟩
  else by
    exact ⟨soln_gen hnorm, eval_soln hnorm,
      soln_dist_to_a_lt_deriv hnorm ha, soln_deriv_norm hnorm, fun z => soln_unique hnorm ha z⟩

Goal state after:
Module: Mathlib.NumberTheory.SelbergSieve

Goal state before:
pp: f : ℕ → ℕ → ℕ → ℝ
n d : ℕ
hd : d ∣ n ∧ n ≠ 0
this : ∀ (d1 d2 : ℕ), (d1 ∣ d ∧ d2 ∣ d ∧ d = d1.lcm d2) = (d = d1.lcm d2)
⊢ (∑ d1 ∈ d.divisors, ∑ d2 ∈ d.divisors, if d = d1.lcm d2 then f d1 d2 d else 0) =
    ∑ d1 ∈ n.divisors, ∑ d2 ∈ n.divisors, if d = d1.lcm d2 then f d1 d2 d else 0

Tactic:
← Nat.divisors_filter_dvd_of_dvd hd.2 hd.1,

Goal state after:
f : ℕ → ℕ → ℕ → ℝ
n d : ℕ
hd : d ∣ n ∧ n ≠ 0
this : ∀ (d1 d2 : ℕ), (d1 ∣ d ∧ d2 ∣ d ∧ d = d1.lcm d2) = (d = d1.lcm d2)
⊢ (∑ x ∈ n.divisors with x ∣ d, ∑ x_1 ∈ n.divisors with x_1 ∣ d, if d = x.lcm x_1 then f x x_1 d else 0) =
    ∑ d1 ∈ n.divisors, ∑ d2 ∈ n.divisors, if d = d1.lcm d2 then f d1 d2 d else 0
Module: Mathlib.NumberTheory.Zsqrtd.GaussianInt

Goal state before:
pp: x y : ℤ[i]
⊢ (toComplex (x / y)).im = ↑(round (toComplex x / toComplex y).im)

Tactic:
rw [div_def, ← @Rat.round_cast ℝ _ _, ← @Rat.round_cast ℝ _ _]

Goal state after:
x y : ℤ[i]
⊢ (toComplex { re := round ↑(↑(x * star y).re / ↑(norm y)), im := round ↑(↑(x * star y).im / ↑(norm y)) }).im =
    ↑(round (toComplex x / toComplex y).im)
Module: Mathlib.NumberTheory.Zsqrtd.GaussianInt

Goal state before:
pp: x y : ℤ[i]
⊢ toComplex x / toComplex y - toComplex (x / y) =
    ↑(toComplex x / toComplex y).re - ↑(toComplex (x / y)).re +
      (↑(toComplex x / toComplex y).im - ↑(toComplex (x / y)).im) * I

Tactic:
apply Complex.ext <;> simp

Goal state after:
Module: Mathlib.NumberTheory.Zsqrtd.QuadraticReciprocity

Goal state before:
pp: p : ℕ
hp : Fact (Nat.Prime p)
hpi : Prime ↑p
hp1 : p % 2 = 1
hp3 : p % 4 ≠ 3
k : ZMod p
hk : -1 = k * k
⊢ False

Tactic:
obtain ⟨k, k_lt_p, rfl⟩ : ∃ (k' : ℕ) (_ : k' < p), (k' : ZMod p) = k := by
        exact ⟨k.val, k.val_lt, ZMod.natCast_zmod_val k⟩

Goal state after:
p : ℕ
hp : Fact (Nat.Prime p)
hpi : Prime ↑p
hp1 : p % 2 = 1
hp3 : p % 4 ≠ 3
k : ℕ
k_lt_p : k < p
hk : -1 = ↑k * ↑k
⊢ False
Module: Mathlib.NumberTheory.SumTwoSquares

Goal state before:
pp: case zero
h : IsSquare (-1)
⊢ ∃ x y, 0 = x ^ 2 + y ^ 2

Tactic:
exact ⟨0, 0, rfl⟩

Goal state after:
Module: Mathlib.NumberTheory.Transcendental.Liouville.LiouvilleWith

Goal state before:
pp: p q x : ℝ
h : LiouvilleWith p x
hle : q ≤ p
C : ℝ
hC₀ : 0 < C
hC : ∃ᶠ (n : ℕ) in atTop, 1 ≤ n ∧ ∃ m, x ≠ ↑m / ↑n ∧ |x - ↑m / ↑n| < C / ↑n ^ p
⊢ ∀ (x_1 : ℕ),
    (1 ≤ x_1 ∧ ∃ m, x ≠ ↑m / ↑x_1 ∧ |x - ↑m / ↑x_1| < C / ↑x_1 ^ p) →
      ∃ m, x ≠ ↑m / ↑x_1 ∧ |x - ↑m / ↑x_1| < C / ↑x_1 ^ q

Tactic:
rintro n ⟨hn, m, hne, hlt⟩

Goal state after:
p q x : ℝ
h : LiouvilleWith p x
hle : q ≤ p
C : ℝ
hC₀ : 0 < C
hC : ∃ᶠ (n : ℕ) in atTop, 1 ≤ n ∧ ∃ m, x ≠ ↑m / ↑n ∧ |x - ↑m / ↑n| < C / ↑n ^ p
n : ℕ
hn : 1 ≤ n
m : ℤ
hne : x ≠ ↑m / ↑n
hlt : |x - ↑m / ↑n| < C / ↑n ^ p
⊢ ∃ m, x ≠ ↑m / ↑n ∧ |x - ↑m / ↑n| < C / ↑n ^ q
Module: Mathlib.NumberTheory.Transcendental.Liouville.LiouvilleWith

Goal state before:
pp: p x : ℝ
h : LiouvilleWith p x
r : ℚ
C : ℝ
_hC₀ : 0 < C
hC : ∃ᶠ (n : ℕ) in atTop, 1 ≤ n ∧ ∃ m, x ≠ ↑m / ↑n ∧ |x - ↑m / ↑n| < C / ↑n ^ p
⊢ ∀ (x_1 : ℕ),
    (1 ≤ x_1 ∧ ∃ m, x ≠ ↑m / ↑x_1 ∧ |x - ↑m / ↑x_1| < C / ↑x_1 ^ p) →
      ∃ m, x + ↑r ≠ ↑m / ↑(r.den • id x_1) ∧ |x + ↑r - ↑m / ↑(r.den • id x_1)| < ↑r.den ^ p * C / ↑(r.den • id x_1) ^ p

Tactic:
rintro n ⟨hn, m, hne, hlt⟩

Goal state after:
p x : ℝ
h : LiouvilleWith p x
r : ℚ
C : ℝ
_hC₀ : 0 < C
hC : ∃ᶠ (n : ℕ) in atTop, 1 ≤ n ∧ ∃ m, x ≠ ↑m / ↑n ∧ |x - ↑m / ↑n| < C / ↑n ^ p
n : ℕ
hn : 1 ≤ n
m : ℤ
hne : x ≠ ↑m / ↑n
hlt : |x - ↑m / ↑n| < C / ↑n ^ p
⊢ ∃ m, x + ↑r ≠ ↑m / ↑(r.den • id n) ∧ |x + ↑r - ↑m / ↑(r.den • id n)| < ↑r.den ^ p * C / ↑(r.den • id n) ^ p
Module: Mathlib.Order.Bounded

Goal state before:
pp: α : Type u_1
s : Set α
inst✝ : LinearOrder α
⊢ Unbounded (fun x1 x2 ↦ x1 ≤ x2) s ↔ ∀ (a : α), ∃ b, b ∈ s ∧ a < b

Tactic:
simp only [Unbounded, not_le]

Goal state after:
Module: Mathlib.Order.Bounded

Goal state before:
pp: α : Type u_1
s : Set α
inst✝ : LinearOrder α
a : α
⊢ Bounded (fun x1 x2 ↦ x1 ≤ x2) (s ∩ {b | a < b}) ↔ Bounded (fun x1 x2 ↦ x1 ≤ x2) s

Tactic:
← not_le,

Goal state after:
α : Type u_1
s : Set α
inst✝ : LinearOrder α
a : α
⊢ Bounded (fun x1 x2 ↦ x1 ≤ x2) (s ∩ {b | ¬b ≤ a}) ↔ Bounded (fun x1 x2 ↦ x1 ≤ x2) s
Module: Mathlib.Order.Bounded

Goal state before:
pp: α : Type u_1
s : Set α
inst✝ : LinearOrder α
a : α
⊢ Unbounded (fun x1 x2 ↦ x1 ≤ x2) (s ∩ {b | a < b}) ↔ Unbounded (fun x1 x2 ↦ x1 ≤ x2) s

Tactic:
by
  convert! @unbounded_le_inter_not_le _ s _ a
  exact lt_iff_not_ge

Goal state after:
Module: Mathlib.NumberTheory.WellApproximable

Goal state before:
pp: T : ℝ
hT : Fact (0 < T)
δ : ℕ → ℝ
hδ : Tendsto δ atTop (𝓝 0)
this : SemilatticeSup Nat.Primes := Nat.Subtype.semilatticeSup fun p ↦ Nat.Prime p
μ : Measure 𝕊 := volume
u : Nat.Primes → 𝕊 := fun p ↦ ↑(↑1 / ↑↑p * T)
hu₀ : ∀ (p : Nat.Primes), addOrderOf (u p) = ↑p
h_mono : Monotone Subtype.val
n p : ℕ
hp : n ≤ p
hp' : Nat.Prime p
⊢ ∃ a, n ≤ ↑a

Tactic:
exact ⟨⟨p, hp'⟩, hp⟩

Goal state after:
Module: Mathlib.Order.Concept

Goal state before:
pp: case refine_2
α : Type u_2
β : Type u_3
r : α → β → Prop
c d : Concept α β r
h : d ≤ c
⊢ c.intent ⊆ d.intent

Tactic:
· rw [← c.upperPolar_extent, ← d.upperPolar_extent]
    exact upperPolar_anti _ h

Goal state after:
Module: Mathlib.Order.Completion

Goal state before:
pp: α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ principal a < c ↔ ∃ b ∈ c.left, a < b

Tactic:
← not_le,

Goal state after:
α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ ¬c ≤ principal a ↔ ∃ b ∈ c.left, a < b
Module: Mathlib.Order.Completion

Goal state before:
pp: α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ (∀ (x : α), ¬(x ∈ c.left ∧ a < x)) ↔ c ≤ principal a

Tactic:
← not_le,

Goal state after:
α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ (∀ (x : α), ¬(x ∈ c.left ∧ ¬x ≤ a)) ↔ c ≤ principal a
Module: Mathlib.Order.Completion

Goal state before:
pp: α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ c < principal a ↔ ∃ b ∈ c.right, b < a

Tactic:
← not_le,

Goal state after:
α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ ¬principal a ≤ c ↔ ∃ b ∈ c.right, b < a
Module: Mathlib.Order.Completion

Goal state before:
pp: α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ (∀ (x : α), ¬(x ∈ c.right ∧ x < a)) ↔ c.intent ⊆ (principal a).intent

Tactic:
← not_le,

Goal state after:
α : Type u_1
inst✝ : LinearOrder α
a : α
c : DedekindCut α
⊢ (∀ (x : α), ¬(x ∈ c.right ∧ ¬a ≤ x)) ↔ c.intent ⊆ (principal a).intent
Module: Mathlib.Order.Nucleus

Goal state before:
pp: X : Type u_1
inst✝ : SemilatticeInf X
n✝ m✝ : Nucleus X
x✝ y : X
m n : Nucleus X
x : X
⊢ (⇑m ⊓ ⇑n) ((⇑m ⊓ ⇑n) x) ≤ (⇑m ⊓ ⇑n) x

Tactic:
simp only [Pi.inf_apply, map_inf, idempotent]
      exact inf_le_inf inf_le_left inf_le_right

Goal state after:
Module: Mathlib.Order.SaddlePoint

Goal state before:
pp: case refine_1
E : Type u_1
F : Type u_2
β : Type u_3
X : Set E
Y : Set F
f : E → F → β
inst✝ : CompleteLinearOrder β
a : E
ha : a ∈ X
b : F
hb : b ∈ Y
x✝ : ⨆ y ∈ Y, f a y = f a b ∧ ⨅ x ∈ X, f x b = f a b
h : ⨆ y ∈ Y, f a y = f a b
h' : ⨅ x ∈ X, f x b = f a b
⊢ ⨆ y ∈ Y, f a y ≤ ⨅ x ∈ X, f x b

Tactic:
exact le_trans (le_of_eq h) (le_of_eq h'.symm)

Goal state after:
Module: Mathlib.Order.SaddlePoint

Goal state before:
pp: case left.a
E : Type u_1
F : Type u_2
β : Type u_3
X : Set E
Y : Set F
f : E → F → β
inst✝ : CompleteLinearOrder β
a : E
ha : a ∈ X
b : F
hb : b ∈ Y
h : ⨆ y ∈ Y, f a y = f a b ∧ ⨅ x ∈ X, f x b = f a b
⊢ ⨅ x ∈ X, ⨆ y ∈ Y, f x y ≤ f a b

pp: case a
E : Type u_1
F : Type u_2
β : Type u_3
X : Set E
Y : Set F
f : E → F → β
inst✝ : CompleteLinearOrder β
a : E
ha : a ∈ X
b : F
hb : b ∈ Y
h : ⨆ y ∈ Y, f a y = f a b ∧ ⨅ x ∈ X, f x b = f a b
⊢ f a b ≤ ⨅ x ∈ X, ⨆ y ∈ Y, f x y

Tactic:
· rw [← h.1]
      exact le_trans (iInf₂_le a ha) (le_rfl)

Goal state after:
case a
E : Type u_1
F : Type u_2
β : Type u_3
X : Set E
Y : Set F
f : E → F → β
inst✝ : CompleteLinearOrder β
a : E
ha : a ∈ X
b : F
hb : b ∈ Y
h : ⨆ y ∈ Y, f a y = f a b ∧ ⨅ x ∈ X, f x b = f a b
⊢ f a b ≤ ⨅ x ∈ X, ⨆ y ∈ Y, f x y
Module: Mathlib.Order.ScottContinuity.Prod

Goal state before:
pp: case refine_1
α : Type u_1
β : Type u_2
α' : Type u_4
β' : Type u_5
inst✝³ : Preorder α
inst✝² : Preorder β
inst✝¹ : Preorder α'
inst✝ : Preorder β'
f : α → α'
g : β → β'
hf : ScottContinuous f
hg : ScottContinuous g
a : α
d : Set β
hd₁ : d.Nonempty
hd₂ : DirectedOn (fun x1 x2 ↦ x1 ≤ x2) d
c : β
hdc : IsLUB d c
⊢ IsLUB ((fun b ↦ Prod.map f g (a, b)) '' d) ((fun b ↦ Prod.map f g (a, b)) c)

pp: case refine_2
α : Type u_1
β : Type u_2
α' : Type u_4
β' : Type u_5
inst✝³ : Preorder α
inst✝² : Preorder β
inst✝¹ : Preorder α'
inst✝ : Preorder β'
f : α → α'
g : β → β'
hf : ScottContinuous f
hg : ScottContinuous g
b : β
d : Set α
hd₁ : d.Nonempty
hd₂ : DirectedOn (fun x1 x2 ↦ x1 ≤ x2) d
c : α
hdc : IsLUB d c
⊢ IsLUB ((fun a ↦ Prod.map f g (a, b)) '' d) ((fun a ↦ Prod.map f g (a, b)) c)

Tactic:
· have e1 : (fun b ↦ (f a, g b)) '' d = {f a} ×ˢ (g '' d) := by aesop
    simp_rw [Prod.map_apply, e1]
    exact .prod (singleton_nonempty _) (hd₁.image _) isLUB_singleton (hg hd₁ hd₂ hdc)

Goal state after:
case refine_2
α : Type u_1
β : Type u_2
α' : Type u_4
β' : Type u_5
inst✝³ : Preorder α
inst✝² : Preorder β
inst✝¹ : Preorder α'
inst✝ : Preorder β'
f : α → α'
g : β → β'
hf : ScottContinuous f
hg : ScottContinuous g
b : β
d : Set α
hd₁ : d.Nonempty
hd₂ : DirectedOn (fun x1 x2 ↦ x1 ≤ x2) d
c : α
hdc : IsLUB d c
⊢ IsLUB ((fun a ↦ Prod.map f g (a, b)) '' d) ((fun a ↦ Prod.map f g (a, b)) c)
Module: Mathlib.Order.Sublocale

Goal state before:
pp: case mp
X : Type u_1
inst✝ : Order.Frame X
ι : Sort u_2
S✝ T : Sublocale X
s : Set X
f : ι → X
a✝ b✝ : X
S : Sublocale X
a : X
b : ↥S
h : S.restrictAux a ≤ b
⊢ a ≤ ↑b

Tactic:
exact le_trans (by simp +contextual [restrictAux]) h

Goal state after:
Module: Mathlib.Order.Sublocale

Goal state before:
pp: X : Type u_1
inst✝ : Order.Frame X
n : Nucleus X
a : Set X
h : a ⊆ range ⇑n
⊢ sInf a ∈ range ⇑n

Tactic:
by
    rw [mem_range]
    refine le_antisymm (le_sInf_iff.mpr (fun b h1 ↦ ?_)) le_apply
    simp_rw [subset_def, mem_range] at h
    rw [← h b h1]
    exact n.monotone (sInf_le h1)

Goal state after:
Module: Mathlib.Order.UpperLower.LocallyFinite

Goal state before:
pp: α : Type u_1
inst✝¹ : Preorder α
s : Set α
inst✝ : LocallyFiniteOrderTop α
hs : s.Finite
⊢ (⋃ a ∈ s, Ici a).Finite

Tactic:
exact hs.biUnion fun _ _ => finite_Ici _

Goal state after:
Module: Mathlib.Probability.Martingale.Centering

Goal state before:
pp: Ω : Type u_1
E : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
f : ℕ → Ω → E
ℱ : Filtration ℕ m0
inst✝ : CompleteSpace E
c : ℝ
n : ℕ
⊢ predictablePart (c • f) ℱ μ n =ᵐ[μ] c • predictablePart f ℱ μ n

Tactic:
by
  simp only [predictablePart, Finset.smul_sum]
  refine eventuallyEq_sum fun i hi => ?_
  simp [← smul_sub, condExp_smul]

Goal state after:
Module: Mathlib.Probability.Martingale.Centering

Goal state before:
pp: Ω : Type u_1
E : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
ℱ : Filtration ℕ m0
inst✝¹ : CompleteSpace E
inst✝ : SigmaFiniteFiltration μ ℱ
f g : ℕ → Ω → E
hf : Martingale f ℱ μ
hg : StronglyAdapted ℱ fun n ↦ g (n + 1)
hg0 : g 0 = 0
hgint : ∀ (n : ℕ), Integrable (g n) μ
n : ℕ
h : ℕ → Ω → E := f - martingalePart (f + g) ℱ μ
hhdef : h = f - martingalePart (f + g) ℱ μ
hh : h = predictablePart (f + g) ℱ μ - g
⊢ StronglyAdapted ℱ fun n ↦ (predictablePart (f + g) ℱ μ - g) (n + 1)

Tactic:
exact stronglyAdapted_predictablePart.sub hg

Goal state after:
Module: Mathlib.Probability.Martingale.Basic

Goal state before:
pp: Ω : Type u_1
E : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
inst✝⁷ : NormedAddCommGroup E
inst✝⁶ : NormedSpace ℝ E
𝒢 : Filtration ℕ m0
inst✝⁵ : CompleteSpace E
inst✝⁴ : PartialOrder E
inst✝³ : IsOrderedAddMonoid E
inst✝² : ClosedIciTopology E
inst✝¹ : IsOrderedModule ℝ E
inst✝ : IsFiniteMeasure μ
f : ℕ → Ω → E
hadp : StronglyAdapted 𝒢 f
hint : ∀ (i : ℕ), Integrable (f i) μ
hf : ∀ (i : ℕ), f i ≤ᵐ[μ] μ[f (i + 1) | ↑𝒢 i]
i j k : ℕ
hik : i ≤ k
hk : f i ≤ᵐ[μ] μ[f k | ↑𝒢 i]
ω : Ω
hω1 : f i ω ≤ μ[f k | ↑𝒢 i] ω
hω2 : μ[f k | ?m.143] ω ≤ μ[μ[f (k + 1) | ↑𝒢 k] | ?m.143] ω
hω3 : μ[μ[f (k + 1) | ↑𝒢 k] | ↑𝒢 i] ω = μ[f (k + 1) | ↑𝒢 i] ω
⊢ f i ω ≤ μ[f (k + 1) | ↑𝒢 i] ω

Tactic:
grw [hω1, hω2, hω3]

Goal state after:
Module: Mathlib.Probability.Martingale.Upcrossing

Goal state before:
pp: Ω : Type u_1
a b : ℝ
f : ℕ → Ω → ℝ
N : ℕ
ω : Ω
hab : a < b
⊢ BddAbove {n | upperCrossingTime a b f N n ω < N}

Tactic:
obtain ⟨k, hk⟩ := exists_upperCrossingTime_eq f N ω hab
  refine ⟨k, fun n (hn : upperCrossingTime a b f N n ω < N) => ?_⟩
  by_contra hn'
  exact hn.ne (upperCrossingTime_stabilize (not_le.1 hn').le hk)

Goal state after:
Module: Mathlib.Probability.Martingale.Upcrossing

Goal state before:
pp: case h.inl
Ω : Type u_1
a b : ℝ
f : ℕ → Ω → ℝ
N n : ℕ
ω : Ω
i : ℕ
a✝¹ : i ∈ ↑(Finset.range N)
j : ℕ
a✝ : j ∈ ↑(Finset.range N)
hij : i ≠ j
hij' : i < j
⊢ min (upperCrossingTime a b f N (i + 1) ω) (upperCrossingTime a b f N (j + 1) ω) ≤
    max (lowerCrossingTime a b f N i ω) (lowerCrossingTime a b f N j ω)

pp: case h.inr
Ω : Type u_1
a b : ℝ
f : ℕ → Ω → ℝ
N n : ℕ
ω : Ω
i : ℕ
a✝¹ : i ∈ ↑(Finset.range N)
j : ℕ
a✝ : j ∈ ↑(Finset.range N)
hij : i ≠ j
hij' : j < i
⊢ min (upperCrossingTime a b f N (i + 1) ω) (upperCrossingTime a b f N (j + 1) ω) ≤
    max (lowerCrossingTime a b f N i ω) (lowerCrossingTime a b f N j ω)

Tactic:
· rw [min_eq_left (upperCrossingTime_mono (Nat.succ_le_succ hij'.le) :
      upperCrossingTime a b f N _ ω ≤ upperCrossingTime a b f N _ ω),
      max_eq_right (lowerCrossingTime_mono hij'.le :
        lowerCrossingTime a b f N _ _ ≤ lowerCrossingTime _ _ _ _ _ _)]
    refine le_trans upperCrossingTime_le_lowerCrossingTime
      (lowerCrossingTime_mono (Nat.succ_le_of_lt hij'))

Goal state after:
case h.inr
Ω : Type u_1
a b : ℝ
f : ℕ → Ω → ℝ
N n : ℕ
ω : Ω
i : ℕ
a✝¹ : i ∈ ↑(Finset.range N)
j : ℕ
a✝ : j ∈ ↑(Finset.range N)
hij : i ≠ j
hij' : j < i
⊢ min (upperCrossingTime a b f N (i + 1) ω) (upperCrossingTime a b f N (j + 1) ω) ≤
    max (lowerCrossingTime a b f N i ω) (lowerCrossingTime a b f N j ω)
Module: Mathlib.Probability.Process.HittingTime

Goal state before:
pp: Ω : Type u_1
β : Type u_2
ι : Type u_3
m : MeasurableSpace Ω
inst✝⁶ : ConditionallyCompleteLinearOrder ι
inst✝⁵ : WellFoundedLT ι
inst✝⁴ : Countable ι
inst✝³ : TopologicalSpace ι
inst✝² : OrderTopology ι
inst✝¹ : FirstCountableTopology ι
inst✝ : MeasurableSpace β
f : Filtration ι m
u : ι → Ω → β
τ : Ω → WithTop ι
hτ : IsStoppingTime f τ
N : ι
s : Set β
hs : MeasurableSet s
hf : Adapted f u
n : ι
x : Ω
hτbdd : τ x ≤ ↑N
h : τ x = ⊤
⊢ False

Tactic:
simp [h] at hτbdd

Goal state after:
Module: Mathlib.Probability.Process.HittingTime

Goal state before:
pp: Ω : Type u_1
β : Type u_2
ι : Type u_3
m✝ : MeasurableSpace Ω
inst✝⁶ : ConditionallyCompleteLinearOrder ι
inst✝⁵ : WellFoundedLT ι
inst✝⁴ : Countable ι
inst✝³ : TopologicalSpace ι
inst✝² : OrderTopology ι
inst✝¹ : FirstCountableTopology ι
inst✝ : MeasurableSpace β
f : Filtration ι m✝
u : ι → Ω → β
τ : Ω → WithTop ι
hτ✝ : IsStoppingTime f τ
N : ι
s : Set β
hs : MeasurableSet s
hf : Adapted f u
n : ι
h₁ :
  {x | hittingBtwn u s (τ x).untopA N x ≤ n} =
    (⋃ i, ⋃ (_ : i ≤ n), {x | τ x = ↑i} ∩ {x | hittingBtwn u s i N x ≤ n}) ∪
      ⋃ i, ⋃ (_ : i > n), {x | τ x = ↑i} ∩ {x | hittingBtwn u s i N x ≤ n}
x : Ω
hτbdd : τ x ≤ ↑N
m : ι
hm : n < m
hτ : τ x = ↑m
h : τ x = ⊤
⊢ False

Tactic:
simp [h] at hτbdd

Goal state after:
Module: Mathlib.Probability.Process.Stopping

Goal state before:
pp: case pos
Ω : Type u_1
β : Type u_2
ι : Type u_3
inst✝¹ : Nonempty ι
u : ι → Ω → β
τ σ : Ω → WithTop ι
inst✝ : LinearOrder ι
i : ι
ω : Ω
hτ : τ ω = ⊤
⊢ u (min (↑(min (↑i) (σ ω)).untopA) (τ ω)).untopA ω = u (min (↑i) ((σ ⊓ τ) ω)).untopA ω

pp: case neg
Ω : Type u_1
β : Type u_2
ι : Type u_3
inst✝¹ : Nonempty ι
u : ι → Ω → β
τ σ : Ω → WithTop ι
inst✝ : LinearOrder ι
i : ι
ω : Ω
hτ : ¬τ ω = ⊤
⊢ u (min (↑(min (↑i) (σ ω)).untopA) (τ ω)).untopA ω = u (min (↑i) ((σ ⊓ τ) ω)).untopA ω

Tactic:
· simp [hτ]

Goal state after:
case neg
Ω : Type u_1
β : Type u_2
ι : Type u_3
inst✝¹ : Nonempty ι
u : ι → Ω → β
τ σ : Ω → WithTop ι
inst✝ : LinearOrder ι
i : ι
ω : Ω
hτ : ¬τ ω = ⊤
⊢ u (min (↑(min (↑i) (σ ω)).untopA) (τ ω)).untopA ω = u (min (↑i) ((σ ⊓ τ) ω)).untopA ω
Module: Mathlib.Probability.Martingale.BorelCantelli

Goal state before:
pp: Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
f : ℕ → Ω → ℝ
R : ℝ≥0
inst✝ : IsFiniteMeasure μ
hf : Submartingale f ℱ μ
hf0 : f 0 = 0
hbdd : ∀ᵐ (ω : Ω) ∂μ, ∀ (i : ℕ), |f (i + 1) ω - f i ω| ≤ ↑R
ht : ∀ᵐ (ω : Ω) ∂μ, ∀ (i : ℕ), ∃ c, Tendsto (fun n ↦ stoppedAbove f (↑i) n ω) atTop (𝓝 c)
⊢ ∀ᵐ (ω : Ω) ∂μ, BddAbove (Set.range fun n ↦ f n ω) → ∃ c, Tendsto (fun n ↦ f n ω) atTop (𝓝 c)

Tactic:
filter_upwards [ht] with ω hω hωb

Goal state after:
Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
f : ℕ → Ω → ℝ
R : ℝ≥0
inst✝ : IsFiniteMeasure μ
hf : Submartingale f ℱ μ
hf0 : f 0 = 0
hbdd : ∀ᵐ (ω : Ω) ∂μ, ∀ (i : ℕ), |f (i + 1) ω - f i ω| ≤ ↑R
ht : ∀ᵐ (ω : Ω) ∂μ, ∀ (i : ℕ), ∃ c, Tendsto (fun n ↦ stoppedAbove f (↑i) n ω) atTop (𝓝 c)
ω : Ω
hω : ∀ (i : ℕ), ∃ c, Tendsto (fun n ↦ stoppedAbove f (↑i) n ω) atTop (𝓝 c)
hωb : BddAbove (Set.range fun n ↦ f n ω)
⊢ ∃ c, Tendsto (fun n ↦ f n ω) atTop (𝓝 c)
Module: Mathlib.Probability.Moments.Basic

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
μ : Measure Ω
t : ℝ
inst✝ : IsFiniteMeasure μ
X : ι → Ω → ℝ
h_indep : iIndepFun X μ
h_meas : ∀ (i : ι), Measurable (X i)
s : Finset ι
h_int : ∀ i ∈ s, Integrable (fun ω ↦ rexp (t * X i ω)) μ
⊢ Integrable (fun ω ↦ rexp (t * (∑ i ∈ s, X i) ω)) μ

Tactic:
induction s using Finset.induction_on with
  | empty =>
    simp only [Finset.sum_apply, sum_empty, mul_zero, exp_zero]
    exact integrable_const _
  | insert i s hi_notin_s h_rec =>
    have : ∀ i : ι, i ∈ s → Integrable (fun ω : Ω => exp (t * X i ω)) μ := fun i hi =>
      h_int i (mem_insert_of_mem hi)
    specialize h_rec this
    rw [sum_insert hi_notin_s]
    refine IndepFun.integrable_exp_mul_add ?_ (h_int i (mem_insert_self _ _)) h_rec
    exact (h_indep.indepFun_finsetSum_of_notMem h_meas hi_notin_s).symm

Goal state after:
Module: Mathlib.Probability.Martingale.BorelCantelli

Goal state before:
pp: case mpr
Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
f : ℕ → Ω → ℝ
R : ℝ≥0
inst✝ : IsFiniteMeasure μ
hfmono : ∀ᵐ (ω : Ω) ∂μ, ∀ (n : ℕ), f n ω ≤ f (n + 1) ω
hf : StronglyAdapted ℱ f
hint : ∀ (n : ℕ), Integrable (f n) μ
hbdd : ∀ᵐ (ω : Ω) ∂μ, ∀ (n : ℕ), ‖f (n + 1) ω - f n ω‖ ≤ ↑R
h₀ : ∀ᵐ (ω : Ω) ∂μ, ∀ (i : ℕ), |martingalePart f ℱ μ (i + 1) ω - martingalePart f ℱ μ i ω| ≤ ↑(2 * R)
h₁ : ∀ᵐ (ω : Ω) ∂μ, ¬Tendsto (fun n ↦ martingalePart f ℱ μ n ω) atTop atTop
h₂ : ∀ᵐ (ω : Ω) ∂μ, ¬Tendsto (fun n ↦ martingalePart f ℱ μ n ω) atTop atBot
h₃ : ∀ᵐ (ω : Ω) ∂μ, ∀ (n : ℕ), 0 ≤ μ[f (n + 1) - f n | ↑ℱ n] ω
ω : Ω
hω₁ : ¬Tendsto (fun n ↦ martingalePart f ℱ μ n ω) atTop atTop
hω₂ : ¬Tendsto (fun n ↦ martingalePart f ℱ μ n ω) atTop atBot
hω₃ : ∀ (n : ℕ), 0 ≤ μ[f (n + 1) - f n | ↑ℱ n] ω
hω₄ : ∀ (n : ℕ), f n ω ≤ f (n + 1) ω
ht : Tendsto (fun n ↦ predictablePart f ℱ μ n ω) atTop atTop
⊢ Tendsto (fun n ↦ f n ω) atTop atTop

Tactic:
· refine tendsto_atTop_atTop_of_monotone' (monotone_nat_of_le_succ hω₄) ?_
    rintro ⟨b, hbdd⟩
    exact hω₂ ((tendsto_atBot_add_left_of_ge _ b fun n =>
      hbdd ⟨n, rfl⟩) <| tendsto_neg_atBot_iff.2 ht)

Goal state after:
Module: Mathlib.Probability.Martingale.BorelCantelli

Goal state before:
pp: case refine_1
Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
inst✝ : IsFiniteMeasure μ
s : ℕ → Set Ω
hs : ∀ (n : ℕ), MeasurableSet (s n)
ω : Ω
n : ℕ
⊢ process s n ω ≤ process s (n + 1) ω

pp: case refine_2
Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
inst✝ : IsFiniteMeasure μ
s : ℕ → Set Ω
hs : ∀ (n : ℕ), MeasurableSet (s n)
this :
  ∀ᵐ (ω : Ω) ∂μ,
    Tendsto (fun n ↦ process s n ω) atTop atTop ↔ Tendsto (fun n ↦ predictablePart (process s) ℱ μ n ω) atTop atTop
⊢ ∀ᵐ (ω : Ω) ∂μ,
    Tendsto (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator 1 ω) atTop atTop ↔
      Tendsto (fun n ↦ ∑ k ∈ Finset.range n, μ[(s (k + 1)).indicator 1 | ↑ℱ k] ω) atTop atTop

Tactic:
· rw [process, process, ← sub_nonneg, Finset.sum_apply, Finset.sum_apply,
      Finset.sum_range_succ_sub_sum]
    exact Set.indicator_nonneg (fun _ _ => zero_le_one) _

Goal state after:
case refine_2
Ω : Type u_2
m0 : MeasurableSpace Ω
μ : Measure Ω
ℱ : Filtration ℕ m0
inst✝ : IsFiniteMeasure μ
s : ℕ → Set Ω
hs : ∀ (n : ℕ), MeasurableSet (s n)
this :
  ∀ᵐ (ω : Ω) ∂μ,
    Tendsto (fun n ↦ process s n ω) atTop atTop ↔ Tendsto (fun n ↦ predictablePart (process s) ℱ μ n ω) atTop atTop
⊢ ∀ᵐ (ω : Ω) ∂μ,
    Tendsto (fun n ↦ ∑ k ∈ Finset.range n, (s (k + 1)).indicator 1 ω) atTop atTop ↔
      Tendsto (fun n ↦ ∑ k ∈ Finset.range n, μ[(s (k + 1)).indicator 1 | ↑ℱ k] ω) atTop atTop
Module: Mathlib.Probability.Moments.IntegrableExpMul

Goal state before:
pp: Ω : Type u_1
m : MeasurableSpace Ω
X : Ω → ℝ
μ : Measure Ω
t : ℝ
ht : t ≠ 0
ht_int_pos : Integrable (fun ω ↦ rexp (t * X ω)) μ
ht_int_neg : Integrable (fun ω ↦ rexp (-t * X ω)) μ
p : ℝ
hp : 0 ≤ p
⊢ Integrable (fun ω ↦ |X ω| ^ p) μ

Tactic:
have h := integrable_rpow_abs_mul_exp_of_integrable_exp_mul (μ := μ) (X := X) ht (v := 0) ?_ ?_ hp

Goal state after:
case refine_3
Ω : Type u_1
m : MeasurableSpace Ω
X : Ω → ℝ
μ : Measure Ω
t : ℝ
ht : t ≠ 0
ht_int_pos : Integrable (fun ω ↦ rexp (t * X ω)) μ
ht_int_neg : Integrable (fun ω ↦ rexp (-t * X ω)) μ
p : ℝ
hp : 0 ≤ p
h : Integrable (fun ω ↦ |X ω| ^ p * rexp (0 * X ω)) μ
⊢ Integrable (fun ω ↦ |X ω| ^ p) μ

case refine_1
Ω : Type u_1
m : MeasurableSpace Ω
X : Ω → ℝ
μ : Measure Ω
t : ℝ
ht : t ≠ 0
ht_int_pos : Integrable (fun ω ↦ rexp (t * X ω)) μ
ht_int_neg : Integrable (fun ω ↦ rexp (-t * X ω)) μ
p : ℝ
hp : 0 ≤ p
⊢ Integrable (fun ω ↦ rexp ((0 + t) * X ω)) μ

case refine_2
Ω : Type u_1
m : MeasurableSpace Ω
X : Ω → ℝ
μ : Measure Ω
t : ℝ
ht : t ≠ 0
ht_int_pos : Integrable (fun ω ↦ rexp (t * X ω)) μ
ht_int_neg : Integrable (fun ω ↦ rexp (-t * X ω)) μ
p : ℝ
hp : 0 ≤ p
⊢ Integrable (fun ω ↦ rexp ((0 - t) * X ω)) μ
Module: Mathlib.Probability.Distributions.Gaussian.Real

Goal state before:
pp: case e_a
μ : ℝ
v : ℝ≥0
z : ℂ
hv : ¬v = 0
⊢ (↑π * (2 * ↑↑v)) ^ 2⁻¹ = ↑((2 * π * ↑v) ^ 2⁻¹)

Tactic:
Complex.ofReal_cpow (by positivity)

Goal state after:
case e_a
μ : ℝ
v : ℝ≥0
z : ℂ
hv : ¬v = 0
⊢ (↑π * (2 * ↑↑v)) ^ 2⁻¹ = ↑(2 * π * ↑v) ^ ↑2⁻¹
Module: Mathlib.Probability.Distributions.Fernique

Goal state before:
pp: E : Type u_1
inst✝⁵ : SeminormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : SecondCountableTopology E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : Measure E
inst✝ : SFinite μ
h : Measure.map (⇑(ContinuousLinearMap.rotation (-(π / 4)))) (μ.prod μ) = μ.prod μ
a b : ℝ
p : E × E
⊢ p ∈ {p | ‖p.1 - p.2‖ / √2 ≤ a ∧ b < ‖p.1 + p.2‖ / √2} → p ∈ {p | (b - a) / √2 < ‖p.1‖ ∧ (b - a) / √2 < ‖p.2‖}

Tactic:
simp only [Set.mem_ofPred_eq, and_imp]

Goal state after:
E : Type u_1
inst✝⁵ : SeminormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : SecondCountableTopology E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : Measure E
inst✝ : SFinite μ
h : Measure.map (⇑(ContinuousLinearMap.rotation (-(π / 4)))) (μ.prod μ) = μ.prod μ
a b : ℝ
p : E × E
⊢ ‖p.1 - p.2‖ / √2 ≤ a → b < ‖p.1 + p.2‖ / √2 → (b - a) / √2 < ‖p.1‖ ∧ (b - a) / √2 < ‖p.2‖