mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

Goal state before:
pp: case refine_2.inr
R : Type u_1
S : Type u_2
inst✝⁷ : Field R
inst✝⁶ : Field S
inst✝⁵ : LinearOrder S
inst✝⁴ : TopologicalSpace S
inst✝³ : IsStrictOrderedRing S
inst✝² : Archimedean S
inst✝¹ : OrderTopology S
ι✝ : Type u_3
inst✝ : Finite ι✝
v✝ : ι✝ → AbsoluteValue R S
this : Fintype ι✝
P : (ι : Type u_3) → [Fintype ι] → Prop :=
  fun ι [Fintype ι] ↦
    ∀ (v : ι → AbsoluteValue R S),
      (∀ (i : ι), (v i).IsNontrivial) →
        (Pairwise fun i j ↦ ¬(v i).IsEquiv (v j)) → ∀ (i : ι), ∃ a, 1 < (v i) a ∧ ∀ (j : ι), j ≠ i → (v j) a < 1
ι : Type u_3
x✝¹ : Fintype ι
x✝ : Nontrivial ι
ih : ∀ (β : Type u_3) [inst : Fintype β], card β < card ι → P β
v : ι → AbsoluteValue R S
h : ∀ (i : ι), (v i).IsNontrivial
hv : Pairwise fun i j ↦ ¬(v i).IsEquiv (v j)
i : ι
hc : card ι ≠ 2
hlt : 2 < card ι
j : ι
hj : j ≠ i
⊢ ∃ a, 1 < (v i) a ∧ ∀ (j : ι), j ≠ i → (v j) a < 1

Tactic:
let ⟨a, ha⟩ := ih {k : ι // k ≠ j} (card_subtype_lt fun a ↦ a rfl) (restrict _ v)
      (fun i ↦ h _) (hv.comp_of_injective val_injective) ⟨i, hj.symm⟩

Goal state after:
case refine_2.inr
R : Type u_1
S : Type u_2
inst✝⁷ : Field R
inst✝⁶ : Field S
inst✝⁵ : LinearOrder S
inst✝⁴ : TopologicalSpace S
inst✝³ : IsStrictOrderedRing S
inst✝² : Archimedean S
inst✝¹ : OrderTopology S
ι✝ : Type u_3
inst✝ : Finite ι✝
v✝ : ι✝ → AbsoluteValue R S
this : Fintype ι✝
P : (ι : Type u_3) → [Fintype ι] → Prop :=
  fun ι [Fintype ι] ↦
    ∀ (v : ι → AbsoluteValue R S),
      (∀ (i : ι), (v i).IsNontrivial) →
        (Pairwise fun i j ↦ ¬(v i).IsEquiv (v j)) → ∀ (i : ι), ∃ a, 1 < (v i) a ∧ ∀ (j : ι), j ≠ i → (v j) a < 1
ι : Type u_3
x✝¹ : Fintype ι
x✝ : Nontrivial ι
ih : ∀ (β : Type u_3) [inst : Fintype β], card β < card ι → P β
v : ι → AbsoluteValue R S
h : ∀ (i : ι), (v i).IsNontrivial
hv : Pairwise fun i j ↦ ¬(v i).IsEquiv (v j)
i : ι
hc : card ι ≠ 2
hlt : 2 < card ι
j : ι
hj : j ≠ i
a : R
ha :
  1 < (restrict (fun k ↦ k ≠ j) v ⟨i, ⋯⟩) a ∧
    ∀ (j_1 : { k // k ≠ j }), j_1 ≠ ⟨i, ⋯⟩ → (restrict (fun k ↦ k ≠ j) v j_1) a < 1
⊢ ∃ a, 1 < (v i) a ∧ ∀ (j : ι), j ≠ i → (v j) a < 1
Module: Mathlib.Analysis.Normed.Module.Connected

Goal state before:
pp: F : Type u_1
inst✝⁴ : AddCommGroup F
inst✝³ : Module ℝ F
inst✝² : TopologicalSpace F
inst✝¹ : IsTopologicalAddGroup F
inst✝ : ContinuousSMul ℝ F
E : Submodule ℝ F
hcodim : 1 < Module.rank ℝ (F ⧸ E)
E' : Submodule ℝ F
hE' : IsCompl E E'
⊢ 1 < Module.rank ℝ ↥E'

Tactic:
← (E.quotientEquivOfIsCompl E' hE').rank_eq

Goal state after:
F : Type u_1
inst✝⁴ : AddCommGroup F
inst✝³ : Module ℝ F
inst✝² : TopologicalSpace F
inst✝¹ : IsTopologicalAddGroup F
inst✝ : ContinuousSMul ℝ F
E : Submodule ℝ F
hcodim : 1 < Module.rank ℝ (F ⧸ E)
E' : Submodule ℝ F
hE' : IsCompl E E'
⊢ 1 < Module.rank ℝ (F ⧸ E)
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
ε : ℝ
b : E
ε0 : 0 ≤ ε
hε : closedBall b ε ⊆ s
y : F
hy : y ∈ closedBall (f b) (((↑f'symm.nnnorm)⁻¹ - ↑c) * ε)
hc : ↑c < (↑f'symm.nnnorm)⁻¹
If' : 0 < ↑f'symm.nnnorm
Icf' : ↑c * ↑f'symm.nnnorm < 1
Jcf' : 1 - ↑c * ↑f'symm.nnnorm ≠ 0
g : E → E := fun x ↦ x + f'symm.toFun (y - f x)
hg : g = fun x ↦ x + f'symm.toFun (y - f x)
u : ℕ → E := fun n ↦ g^[n] b
hu : u = fun n ↦ g^[n] b
usucc : ∀ (n : ℕ), u (n + 1) = g (u n)
A : ∀ (z : E), dist (g z) z ≤ ↑f'symm.nnnorm * dist (f z) y
B : ∀ z ∈ closedBall b ε, g z ∈ closedBall b ε → dist (f (g z)) y ≤ ↑c * ↑f'symm.nnnorm * dist (f z) y
C :
  ∀ (n : ℕ) (w : E),
    dist w b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y →
      w ∈ closedBall b ε
D :
  ∀ (n : ℕ),
    dist (f (u n)) y ≤ (↑c * ↑f'symm.nnnorm) ^ n * dist (f b) y ∧
      dist (u n) b ≤ ↑f'symm.nnnorm * (1 - (↑c * ↑f'symm.nnnorm) ^ n) / (1 - ↑c * ↑f'symm.nnnorm) * dist (f b) y
n : ℕ
⊢ dist (u n) (u (n + 1)) = dist (g (u n)) (u n)

Tactic:
rw [usucc, dist_comm]

Goal state after:
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: case inl
𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
hs : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
hE : Subsingleton F
⊢ IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (f '' s)

pp: case inr
𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
hs : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
hc : c < f'symm.nnnorm⁻¹
⊢ IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (f '' s)

Tactic:
· exact isOpen_discrete _

Goal state after:
case inr
𝕜 : Type u_1
inst✝⁵ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace 𝕜 E
F : Type u_3
inst✝² : NormedAddCommGroup F
inst✝¹ : NormedSpace 𝕜 F
f : E → F
inst✝ : CompleteSpace E
s : Set E
c : ℝ≥0
f' : E →L[𝕜] F
hf : ApproximatesLinearOn f f' s c
f'symm : f'.NonlinearRightInverse
hs : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
hc : c < f'symm.nnnorm⁻¹
⊢ IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] (f '' s)
Module: Mathlib.Analysis.Calculus.InverseFunctionTheorem.ApproximatesLinearOn

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
f : E → F
f' : E ≃L[𝕜] F
s : Set E
c : ℝ≥0
hf : ApproximatesLinearOn f (↑f') s c
hc : Subsingleton E ∨ c < ‖↑f'.symm‖₊⁻¹
x : F
hx : x ∈ f '' s
y : F
hy : y ∈ f '' s
⊢ ‖↑(hf.toPartialEquiv hc).symm x - ↑(hf.toPartialEquiv hc).symm y - ↑f'.symm (x - y)‖ ≤
    ↑(‖↑f'.symm‖₊ * (‖↑f'.symm‖₊⁻¹ - c)⁻¹ * c) * ‖x - y‖

Tactic:
set A := hf.toPartialEquiv hc
  have Af : ∀ z, A z = f z := fun z => rfl
  rcases (mem_image _ _ _).1 hx with ⟨x', x's, rfl⟩
  rcases (mem_image _ _ _).1 hy with ⟨y', y's, rfl⟩
  rw [← Af x', ← Af y', A.left_inv x's, A.left_inv y's]
  calc
    ‖x' - y' - f'.symm (A x' - A y')‖ ≤ N * ‖f' (x' - y' - f'.symm (A x' - A y'))‖ :=
      (f' : E →L[𝕜] F).bound_of_antilipschitz f'.antilipschitz _
    _ = N * ‖A y' - A x' - f' (y' - x')‖ := by
      congr 2
      simp only [ContinuousLinearEquiv.apply_symm_apply, map_sub]
      abel
    _ ≤ N * (c * ‖y' - x'‖) := by gcongr; exact hf _ y's _ x's
    _ ≤ N * (c * (((N⁻¹ - c)⁻¹ : ℝ≥0) * ‖A y' - A x'‖)) := by
      gcongr
      rw [← dist_eq_norm, ← dist_eq_norm]
      exact (hf.antilipschitz hc).le_mul_dist ⟨y', y's⟩ ⟨x', x's⟩
    _ = (N * (N⁻¹ - c)⁻¹ * c : ℝ≥0) * ‖A x' - A y'‖ := by
      simp only [norm_sub_rev, NNReal.coe_mul]; ring

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: 𝕜 : Type u_1
inst✝ : NontriviallyNormedField 𝕜
c : 𝕜
⊢ analyticOrderAt (fun x ↦ x - c) c = 1

Tactic:
have := analyticOrderAt_centeredMonomial (n := 1) (z₀ := c)
  simp_all [pow_one]

Goal state after:
Module: Mathlib.Analysis.AperiodicOrder.Delone.Basic

Goal state before:
pp: X : Type u_1
inst✝ : MetricSpace X
D : DeloneSet X
⊢ (mapIsometry (IsometryEquiv.refl X)) D = D

Tactic:
by
  ext <;> simp [mapIsometry, IsometryEquiv.refl, DeloneSet.copy]

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
a : EReal
⊢ linearGrowthSup u ≤ a ↔ ∀ b > a, ∀ᶠ (n : ℕ) in atTop, u n ≤ b * ↑n

Tactic:
rw [linearGrowthSup, limsup_le_iff']
  refine forall₂_congr fun b _ ↦ eventually_congr (eventually_atTop.2 ⟨1, fun n _ ↦ ?_⟩)
  rw [div_le_iff_le_mul (by norm_cast) (natCast_ne_top n), mul_comm _ b]

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u v : ℕ → EReal
⊢ limsup (fun n ↦ (u ⊔ v) n / ↑n) atTop = max (limsup (fun n ↦ u n / ↑n) atTop) (limsup (fun n ↦ v n / ↑n) atTop)

Tactic:
← limsup_max

Goal state after:
u v : ℕ → EReal
⊢ limsup (fun n ↦ (u ⊔ v) n / ↑n) atTop = limsup (fun a ↦ max (u a / ↑a) (v a / ↑a)) atTop
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: a✝ b : EReal
a : ℝ
hb : 0 ≤ ⊤
h : ↑a < ⊤
⊢ ∀ᶠ (n : ℕ) in atTop, ∃ m, ↑a * ↑n ≤ ↑m ∧ ↑m ≤ ⊤ * ↑n

Tactic:
refine (eventually_gt_atTop 0).mono fun n n_0 ↦ ?_
      obtain ⟨m, hm⟩ := exists_nat_ge_mul h.ne n
      exact ⟨m, hm, le_of_le_of_eq le_top (top_mul_of_pos (Nat.cast_pos'.2 n_0)).symm⟩

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: v : ℕ → ℕ
h : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
M : ℕ
this : Tendsto (fun n ↦ ↑(v n)) atTop (𝓝 ⊤)
⊢ ∀ᶠ (a : ℕ) in atTop, M ≤ v a

Tactic:
exact (tendsto_nhds_top_iff_real.1 this M).mono fun n ↦ by exact_mod_cast le_of_lt

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
v : ℕ → ℕ
hu : ∃ᶠ (n : ℕ) in atTop, 0 ≤ u n
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
hv₂ : Tendsto v atTop atTop
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
⊢ ∀ a' > linearGrowthSup fun n ↦ ↑(v n), ∀ b' > linearGrowthSup u, linearGrowthSup (u ∘ v) ≤ a' * b'

Tactic:
refine fun a v_a b u_b ↦ Eventually.linearGrowthSup_le ?_

Goal state after:
u : ℕ → EReal
v : ℕ → ℕ
hu : ∃ᶠ (n : ℕ) in atTop, 0 ≤ u n
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
hv₂ : Tendsto v atTop atTop
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
u_b : b > linearGrowthSup u
⊢ ∀ᶠ (n : ℕ) in atTop, (u ∘ v) n ≤ a * b * ↑n
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: u v : ℕ → ℝ≥0∞
h : expGrowthSup u ≠ ⊥ ∨ expGrowthInf v ≠ ⊤
h' : expGrowthSup u ≠ ⊤ ∨ expGrowthInf v ≠ ⊥
⊢ expGrowthInf (u * v) ≤ expGrowthSup u + expGrowthInf v

Tactic:
refine (liminf_add_le h h').trans_eq' (liminf_congr (Eventually.of_forall fun n ↦ ?_))
  rw [Pi.add_apply, Pi.mul_apply, ← add_div_of_nonneg_right n.cast_nonneg', log_mul_add]

Goal state after:
Module: Mathlib.Analysis.Asymptotics.ExpGrowth

Goal state before:
pp: u v : ℕ → ℝ≥0∞
⊢ limsup (fun n ↦ ((u ⊔ v) n).log / ↑n) atTop =
    max (limsup (fun n ↦ (u n).log / ↑n) atTop) (limsup (fun n ↦ (v n).log / ↑n) atTop)

Tactic:
← limsup_max

Goal state after:
u v : ℕ → ℝ≥0∞
⊢ limsup (fun n ↦ ((u ⊔ v) n).log / ↑n) atTop = limsup (fun a ↦ max ((u a).log / ↑a) ((v a).log / ↑a)) atTop
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
b_u : b < linearGrowthSup u
⊢ ∃ᶠ (n : ℕ) in atTop, a * b * ↑n ≤ (u ∘ v) n

Tactic:
obtain ⟨a', a_a', a_v'⟩ := exists_between a_v

Goal state after:
case neg
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
b_u : b < linearGrowthSup u
a' : EReal
a_a' : a < a'
a_v' : a' < linearGrowthInf fun n ↦ ↑(v n)
⊢ ∃ᶠ (n : ℕ) in atTop, a * b * ↑n ≤ (u ∘ v) n
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg
u : ℕ → EReal
v : ℕ → ℕ
a : EReal
h : Monotone u
hv : Tendsto (fun n ↦ ↑(v n) / ↑n) atTop (𝓝 a)
ha : a ≠ 0
ha' : a ≠ ⊤
hv₁ : 0 < liminf (fun n ↦ ↑(v n) / ↑n) atTop
v_top : Tendsto v atTop atTop
u_0 : ¬u = ⊥
u_1 : ∃ᶠ (x : ℕ) in atTop, 0 < u x
⊢ linearGrowthSup (u ∘ v) = a * linearGrowthSup u

Tactic:
replace u_1 := u_1.mono fun x hx ↦ hx.le

Goal state after:
case neg
u : ℕ → EReal
v : ℕ → ℕ
a : EReal
h : Monotone u
hv : Tendsto (fun n ↦ ↑(v n) / ↑n) atTop (𝓝 a)
ha : a ≠ 0
ha' : a ≠ ⊤
hv₁ : 0 < liminf (fun n ↦ ↑(v n) / ↑n) atTop
v_top : Tendsto v atTop atTop
u_0 : ¬u = ⊥
u_1 : ∃ᶠ (x : ℕ) in atTop, 0 ≤ u x
⊢ linearGrowthSup (u ∘ v) = a * linearGrowthSup u
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
m : ℕ
h : Monotone u
hm : m ≠ 0
x : ℕ
hx : 0 < x
⊢ ↑(m * x) / ↑x = ↑m

Tactic:
rw [mul_comm, natCast_mul x m, ← mul_div]

Goal state after:
u : ℕ → EReal
m : ℕ
h : Monotone u
hm : m ≠ 0
x : ℕ
hx : 0 < x
⊢ ↑x * (↑m / ↑x) = ↑m
Module: Mathlib.MeasureTheory.Function.AEEqOfLIntegral

Goal state before:
pp: α : Type u_1
m0 : MeasurableSpace α
μ : Measure α
inst✝ : SigmaFinite μ
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
h : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫⁻ (x : α) in s, f x ∂μ ≤ ∫⁻ (x : α) in s, g x ∂μ
⊢ f ≤ᵐ[μ] g

Tactic:
by
  have A : ∀ (ε N : ℝ≥0) (p : ℕ), 0 < ε →
      μ ({x | g x + ε ≤ f x ∧ g x ≤ N} ∩ spanningSets μ p) = 0 := by
    intro ε N p εpos
    let s := {x | g x + ε ≤ f x ∧ g x ≤ N} ∩ spanningSets μ p
    have s_lt_top : μ s < ∞ :=
      (measure_mono (Set.inter_subset_right)).trans_lt (measure_spanningSets_lt_top μ p)
    have A : (∫⁻ x in s, g x ∂μ) + ε * μ s ≤ (∫⁻ x in s, g x ∂μ) + 0 :=
      calc
        (∫⁻ x in s, g x ∂μ) + ε * μ s = (∫⁻ x in s, g x ∂μ) + ∫⁻ _ in s, ε ∂μ := by
          simp only [lintegral_const, Set.univ_inter, MeasurableSet.univ, Measure.restrict_apply]
        _ = ∫⁻ x in s, g x + ε ∂μ := (lintegral_add_right _ measurable_const).symm
        _ ≤ ∫⁻ x in s, f x ∂μ :=
          setLIntegral_mono_ae hf.restrict <| ae_of_all _ fun x hx => hx.1.1
        _ ≤ (∫⁻ x in s, g x ∂μ) + 0 := by
          rw [add_zero, ← Measure.restrict_toMeasurable s_lt_top.ne]
          refine h _ (measurableSet_toMeasurable ..) ?_
          rwa [measure_toMeasurable]
    have B : (∫⁻ x in s, g x ∂μ) ≠ ∞ :=
      (setLIntegral_lt_top_of_le_nnreal s_lt_top.ne ⟨N, fun _ h ↦ h.1.2⟩).ne
    have : (ε : ℝ≥0∞) * μ s ≤ 0 := ENNReal.le_of_add_le_add_left B A
    simpa only [ENNReal.coe_eq_zero, nonpos_iff_eq_zero, mul_eq_zero, εpos.ne', false_or]
  obtain ⟨u, _, u_pos, u_lim⟩ :
    ∃ u : ℕ → ℝ≥0, StrictAnti u ∧ (∀ n, 0 < u n) ∧ Tendsto u atTop (𝓝 0) :=
    exists_seq_strictAnti_tendsto (0 : ℝ≥0)
  let s := fun n : ℕ => {x | g x + u n ≤ f x ∧ g x ≤ (n : ℝ≥0)} ∩ spanningSets μ n
  have μs : ∀ n, μ (s n) = 0 := fun n => A _ _ _ (u_pos n)
  have B : {x | f x ≤ g x}ᶜ ⊆ ⋃ n, s n := by
    intro x hx
    simp only [Set.mem_compl_iff, Set.mem_ofPred, not_le] at hx
    have L1 : ∀ᶠ n in atTop, g x + u n ≤ f x := by
      have : Tendsto (fun n => g x + u n) atTop (𝓝 (g x + (0 : ℝ≥0))) :=
        tendsto_const_nhds.add (ENNReal.tendsto_coe.2 u_lim)
      simp only [ENNReal.coe_zero, add_zero] at this
      exact this.eventually_le_const hx
    have L2 : ∀ᶠ n : ℕ in (atTop : Filter ℕ), g x ≤ (n : ℝ≥0) :=
      have : Tendsto (fun n : ℕ => ((n : ℝ≥0) : ℝ≥0∞)) atTop (𝓝 ∞) := by
        simp only [ENNReal.coe_natCast]
        exact ENNReal.tendsto_nat_nhds_top
      this.eventually_const_le (hx.trans_le le_top)
    apply Set.mem_iUnion.2
    exact ((L1.and L2).and (eventually_mem_spanningSets μ x)).exists
  refine le_antisymm ?_ bot_le
  calc
    μ {x : α | (fun x : α => f x ≤ g x) x}ᶜ ≤ μ (⋃ n, s n) := measure_mono B
    _ ≤ ∑' n, μ (s n) := measure_iUnion_le _
    _ = 0 := by simp only [μs, tsum_zero]

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Decomposition.Hahn

Goal state before:
pp: case refine_2
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
d : Set α → ℝ := fun s ↦ ↑(μ s).toNNReal - ↑(ν s).toNNReal
c : Set ℝ := d '' {s | MeasurableSet s}
γ : ℝ := sSup c
hμ : ∀ (s : Set α), μ s ≠ ∞
hν : ∀ (s : Set α), ν s ≠ ∞
to_nnreal_μ : ∀ (s : Set α), ↑(μ s).toNNReal = μ s
to_nnreal_ν : ∀ (s : Set α), ↑(ν s).toNNReal = ν s
d_split : ∀ (s t : Set α), MeasurableSet t → d s = d (s \ t) + d (s ∩ t)
d_Union : ∀ (s : ℕ → Set α), Monotone s → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋃ n, s n)))
d_Inter :
  ∀ (s : ℕ → Set α),
    (∀ (n : ℕ), MeasurableSet (s n)) →
      (∀ (n m : ℕ), n ≤ m → s m ⊆ s n) → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋂ n, s n)))
bdd_c : BddAbove c
c_nonempty : c.Nonempty
d_le_γ : ∀ (s : Set α), MeasurableSet s → d s ≤ γ
this : ∀ (n : ℕ), ∃ s, MeasurableSet s ∧ γ - (1 / 2) ^ n < d s
e : ℕ → Set α
he : ∀ (x : ℕ), MeasurableSet (e x) ∧ γ - (1 / 2) ^ x < d (e x)
he₁ : ∀ (n : ℕ), MeasurableSet (e n)
he₂ : ∀ (n : ℕ), γ - (1 / 2) ^ n < d (e n)
f : ℕ → ℕ → Set α := fun n m ↦ (Finset.Ico n (m + 1)).inf e
hf : ∀ (n m : ℕ), MeasurableSet (f n m)
f_subset_f : ∀ {a b c d : ℕ}, a ≤ b → c ≤ d → f a d ⊆ f b c
f_succ : ∀ (n m : ℕ), n ≤ m → f n (m + 1) = f n m ∩ e (m + 1)
n✝ m : ℕ
h : m ≤ n✝
n : ℕ
⊢ m ≤ n → γ - 2 * (1 / 2) ^ m + (1 / 2) ^ n ≤ d (f m n) → γ - 2 * (1 / 2) ^ m + (1 / 2) ^ (n + 1) ≤ d (f m (n + 1))

Tactic:
(hmn : m ≤ n)

Goal state after:
case refine_2
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
d : Set α → ℝ := fun s ↦ ↑(μ s).toNNReal - ↑(ν s).toNNReal
c : Set ℝ := d '' {s | MeasurableSet s}
γ : ℝ := sSup c
hμ : ∀ (s : Set α), μ s ≠ ∞
hν : ∀ (s : Set α), ν s ≠ ∞
to_nnreal_μ : ∀ (s : Set α), ↑(μ s).toNNReal = μ s
to_nnreal_ν : ∀ (s : Set α), ↑(ν s).toNNReal = ν s
d_split : ∀ (s t : Set α), MeasurableSet t → d s = d (s \ t) + d (s ∩ t)
d_Union : ∀ (s : ℕ → Set α), Monotone s → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋃ n, s n)))
d_Inter :
  ∀ (s : ℕ → Set α),
    (∀ (n : ℕ), MeasurableSet (s n)) →
      (∀ (n m : ℕ), n ≤ m → s m ⊆ s n) → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋂ n, s n)))
bdd_c : BddAbove c
c_nonempty : c.Nonempty
d_le_γ : ∀ (s : Set α), MeasurableSet s → d s ≤ γ
this : ∀ (n : ℕ), ∃ s, MeasurableSet s ∧ γ - (1 / 2) ^ n < d s
e : ℕ → Set α
he : ∀ (x : ℕ), MeasurableSet (e x) ∧ γ - (1 / 2) ^ x < d (e x)
he₁ : ∀ (n : ℕ), MeasurableSet (e n)
he₂ : ∀ (n : ℕ), γ - (1 / 2) ^ n < d (e n)
f : ℕ → ℕ → Set α := fun n m ↦ (Finset.Ico n (m + 1)).inf e
hf : ∀ (n m : ℕ), MeasurableSet (f n m)
f_subset_f : ∀ {a b c d : ℕ}, a ≤ b → c ≤ d → f a d ⊆ f b c
f_succ : ∀ (n m : ℕ), n ≤ m → f n (m + 1) = f n m ∩ e (m + 1)
n✝ m : ℕ
h : m ≤ n✝
n : ℕ
hmn : m ≤ n
⊢ γ - 2 * (1 / 2) ^ m + (1 / 2) ^ n ≤ d (f m n) → γ - 2 * (1 / 2) ^ m + (1 / 2) ^ (n + 1) ≤ d (f m (n + 1))
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: case neg
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
h : ¬μ.HaveLebesgueDecomposition ν
⊢ μ.singularPart ν ⟂ₘ ν

Tactic:
rw [singularPart_of_not_haveLebesgueDecomposition h]

Goal state after:
case neg
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
h : ¬μ.HaveLebesgueDecomposition ν
⊢ 0 ⟂ₘ ν
Module: Mathlib.MeasureTheory.Covering.OneDim

Goal state before:
pp: x y : ℝ
hxy : x < y
⊢ Icc x y ∈ (vitaliFamily volume 1).setsAt x

Tactic:
rw [Icc_eq_closedBall]

Goal state after:
x y : ℝ
hxy : x < y
⊢ Metric.closedBall ((x + y) / 2) ((y - x) / 2) ∈ (vitaliFamily volume 1).setsAt x
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: case pos
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : ¬μ ⟂ₘ ν
f : ℕ → Set α
hf₁ : ∀ (n : ℕ), MeasurableSet (f n)
hf₂ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → ((1 / (↑n + 1)) • ν) (t ∩ f n) ≤ μ (t ∩ f n)
hf₃ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → μ (t ∩ (f n)ᶜ) ≤ ((1 / (↑n + 1)) • ν) (t ∩ (f n)ᶜ)
A : Set α := ⋂ n, (f n)ᶜ
hAmeas : MeasurableSet A
hA₂ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → μ (t ∩ A) ≤ ((1 / (↑n + 1)) • ν) (t ∩ A)
μA νA : ℝ≥0
hA₃ : ∀ (n : ℕ), ↑μA ≤ ↑(1 / (↑n + 1)) * ↑νA
hb : 0 < νA
c : ℝ≥0
hc : 0 < c
n : ℕ
hn : 1 / (↑n + 1) < ↑c * (↑νA)⁻¹
hb₁ : 0 < (↑νA)⁻¹
h' : 1 / (↑n + 1) * νA < c
⊢ ↑μA ≤ ↑(1 / (↑n + 1) * νA)

Tactic:
ENNReal.coe_mul

Goal state after:
case pos
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : ¬μ ⟂ₘ ν
f : ℕ → Set α
hf₁ : ∀ (n : ℕ), MeasurableSet (f n)
hf₂ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → ((1 / (↑n + 1)) • ν) (t ∩ f n) ≤ μ (t ∩ f n)
hf₃ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → μ (t ∩ (f n)ᶜ) ≤ ((1 / (↑n + 1)) • ν) (t ∩ (f n)ᶜ)
A : Set α := ⋂ n, (f n)ᶜ
hAmeas : MeasurableSet A
hA₂ : ∀ (n : ℕ) (t : Set α), MeasurableSet t → μ (t ∩ A) ≤ ((1 / (↑n + 1)) • ν) (t ∩ A)
μA νA : ℝ≥0
hA₃ : ∀ (n : ℕ), ↑μA ≤ ↑(1 / (↑n + 1)) * ↑νA
hb : 0 < νA
c : ℝ≥0
hc : 0 < c
n : ℕ
hn : 1 / (↑n + 1) < ↑c * (↑νA)⁻¹
hb₁ : 0 < (↑νA)⁻¹
h' : 1 / (↑n + 1) * νA < c
⊢ ↑μA ≤ ↑(1 / (↑n + 1)) * ↑νA
Module: Mathlib.MeasureTheory.Covering.OneDim

Goal state before:
pp: x y : ℝ
hxy : x < y
⊢ Icc x y ∈ (vitaliFamily volume 1).setsAt y

Tactic:
rw [Icc_eq_closedBall]

Goal state after:
x y : ℝ
hxy : x < y
⊢ Metric.closedBall ((x + y) / 2) ((y - x) / 2) ∈ (vitaliFamily volume 1).setsAt y
Module: Mathlib.Analysis.Calculus.Monotone

Goal state before:
pp: f : ℝ → ℝ
hf : Monotone f
x : ℝ
hx :
  Tendsto (fun b ↦ (↑hf.stieltjesFunction b - f x) / (b - x)) (𝓝[<] x)
      (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal) ∧
    Tendsto (fun b ↦ (↑hf.stieltjesFunction b - f x) / (b - x)) (𝓝[>] x)
      (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal)
h'x : ¬¬ContinuousAt f x
A : ↑hf.stieltjesFunction x = f x
L1 : Tendsto (fun y ↦ (f y - f x) / (y - x)) (𝓝[>] x) (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal)
⊢ Tendsto (fun y ↦ (↑hf.stieltjesFunction (y + -1 * (y - x) ^ 2) - f x) / (y - x)) (𝓝[<] x)
    (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal)

Tactic:
apply tendsto_apply_add_mul_sq_div_sub (nhdsLT_le_nhdsNE x) hx.1

Goal state after:
f : ℝ → ℝ
hf : Monotone f
x : ℝ
hx :
  Tendsto (fun b ↦ (↑hf.stieltjesFunction b - f x) / (b - x)) (𝓝[<] x)
      (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal) ∧
    Tendsto (fun b ↦ (↑hf.stieltjesFunction b - f x) / (b - x)) (𝓝[>] x)
      (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal)
h'x : ¬¬ContinuousAt f x
A : ↑hf.stieltjesFunction x = f x
L1 : Tendsto (fun y ↦ (f y - f x) / (y - x)) (𝓝[>] x) (𝓝 (hf.stieltjesFunction.measure.rnDeriv volume x).toReal)
⊢ Tendsto (fun y ↦ y + -1 * (y - x) ^ 2) (𝓝[<] x) (𝓝[<] x)
Module: Mathlib.Topology.EMetricSpace.VariationOnFromTo

Goal state before:
pp: α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s : Set α
a b : α
⊢ variationOnFromTo f s a b = -variationOnFromTo f s b a

Tactic:
by
  rcases lt_trichotomy a b with (ab | rfl | ba)
  · simp only [variationOnFromTo, if_pos ab.le, if_neg ab.not_ge, neg_neg]
  · simp only [variationOnFromTo.self, neg_zero]
  · simp only [variationOnFromTo, if_pos ba.le, if_neg ba.not_ge]

Goal state after:
Module: Mathlib.Topology.ContinuousMap.StarOrdered

Goal state before:
pp: α : Type u_1
inst✝¹⁰ : TopologicalSpace α
inst✝⁹ : Zero α
R : Type u_2
inst✝⁸ : TopologicalSpace R
inst✝⁷ : CommSemiring R
inst✝⁶ : PartialOrder R
inst✝⁵ : NoZeroDivisors R
inst✝⁴ : StarRing R
inst✝³ : StarOrderedRing R
inst✝² : IsTopologicalSemiring R
inst✝¹ : ContinuousStar R
inst✝ : StarOrderedRing C(α, R)
p✝ p : C(α, R)
p_mem : p ∈ AddSubmonoid.closure (Set.range fun s ↦ star s * s)
hp' : ∀ (f g : C(α, R)₀), ↑g = ↑f + p → ∃ p ∈ AddSubmonoid.closure (Set.range fun s ↦ star s * s), g = f + p
f : C(α, R)₀
s : C(α, R)
h₀ : (star s * s + p) 0 = 0
p'₀ : 0 ≤ p 0
s₉ : (star s * s) 0 = 0
s₀' : s 0 = 0
s' : C(α, R)₀ := { toContinuousMap := s, map_zero' := s₀' }
p' : C(α, R)₀
hp'_mem : p' ∈ AddSubmonoid.closure (Set.range fun s ↦ star s * s)
hp : ↑(f + star s' * s' + p') = ↑f + star s * s + p
⊢ f + star s' * s' + p' = f + (star s' * s' + p')

Tactic:
rw [add_assoc]

Goal state after: