mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u : ℕ → EReal
v : ℕ → ℕ
hu : 0 ≤ᶠ[atTop] u
hv : Tendsto v atTop atTop
uv_0 : 0 ≤ linearGrowthInf (u ∘ v)
a : EReal
x✝¹ : a ∈ Set.Ioo 0 (linearGrowthInf fun n ↦ ↑(v n))
b : EReal
x✝ : b ∈ Set.Ioo 0 (linearGrowthInf u)
left✝ : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b_0 : 0 < b
b_u : b < linearGrowthInf u
b_uv : ∀ᶠ (a : ℕ) in atTop, b * ↑(v a) ≤ u (v a)
n : ℕ
b_uvn : b * ↑(v n) ≤ u (v n)
n_0 : 0 < n
a_vn : a * ↑n ≤ ↑(v n)
⊢ a * b * ↑n ≤ u (v n)

Tactic:
mul_comm a b,

Goal state after:
u : ℕ → EReal
v : ℕ → ℕ
hu : 0 ≤ᶠ[atTop] u
hv : Tendsto v atTop atTop
uv_0 : 0 ≤ linearGrowthInf (u ∘ v)
a : EReal
x✝¹ : a ∈ Set.Ioo 0 (linearGrowthInf fun n ↦ ↑(v n))
b : EReal
x✝ : b ∈ Set.Ioo 0 (linearGrowthInf u)
left✝ : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b_0 : 0 < b
b_u : b < linearGrowthInf u
b_uv : ∀ᶠ (a : ℕ) in atTop, b * ↑(v a) ≤ u (v a)
n : ℕ
b_uvn : b * ↑(v n) ≤ u (v n)
n_0 : 0 < n
a_vn : a * ↑n ≤ ↑(v n)
⊢ b * a * ↑n ≤ u (v n)
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 : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
u_b : b > linearGrowthSup u
b_0 : 0 ≤ b
uv_b : ∀ᶠ (n : ℕ) in atTop, u (v n) ≤ b * ↑(v n)
n : ℕ
uvn_b : u (v n) ≤ b * ↑(v n)
n_0 : 0 < n
vn_a : ↑(v n) ≤ a * ↑n
⊢ u (v n) ≤ a * b * ↑n

Tactic:
mul_comm a b,

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
b_0 : 0 ≤ b
uv_b : ∀ᶠ (n : ℕ) in atTop, u (v n) ≤ b * ↑(v n)
n : ℕ
uvn_b : u (v n) ≤ b * ↑(v n)
n_0 : 0 < n
vn_a : ↑(v n) ≤ a * ↑n
⊢ u (v n) ≤ b * a * ↑n
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.inr.refine_1
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : a * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
⊢ M ≤ k

Tactic:
rw [mul_comm a, ← le_div_iff_mul_le a_0 a_top, EReal.div_eq_inv_mul] at aM_M'

Goal state after:
case neg.inr.refine_1
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : ↑M ≤ a⁻¹ * ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
⊢ M ≤ k
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.inr.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : a * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
vk_ak' : ↑(v k) ≤ a' * ↑k
⊢ u (v k) ≤ a * b * ↑k

Tactic:
mul_comm a b,

Goal state after:
case neg.inr.refine_2
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv₀ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ 0
hv₁ : (linearGrowthSup fun n ↦ ↑(v n)) ≠ ⊤
u_0 : ¬u = ⊥
v_0 : 0 < linearGrowthSup fun n ↦ ↑(v n)
a : EReal
v_a : a > linearGrowthSup fun n ↦ ↑(v n)
b : EReal
a_0 : 0 < a
b_0 : 0 < b
a_top : a ≠ ⊤
a' : EReal
a_a' : a' < a
a_0' : 0 < a'
a_a_inv' : a⁻¹ < a'⁻¹
v_a' : ∀ᶠ (n : ℕ) in atTop, ↑(v n) ≤ a' * ↑n
u_b : ∃ᶠ (x : ℕ) in atTop, (u x ≤ b * ↑x ∧ 0 < x) ∧ ∃ m, a⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a'⁻¹ * ↑x
M M' : ℕ
aM_M' : a * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
un_bn : u n ≤ b * ↑n
right✝ : 0 < n
k : ℕ
an_k : a⁻¹ * ↑n ≤ ↑k
k_an' : ↑k ≤ a'⁻¹ * ↑n
vk_ak' : ↑(v k) ≤ a' * ↑k
⊢ u (v k) ≤ b * a * ↑k
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.refine_2
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
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : a' * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
ak_vk' : a' * ↑k ≤ ↑(v k)
⊢ a * b * ↑k ≤ u (v k)

Tactic:
mul_comm a b,

Goal state after:
case neg.refine_2
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
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : a' * ↑M ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
ak_vk' : a' * ↑k ≤ ↑(v k)
⊢ b * a * ↑k ≤ u (v k)
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: α : Type u_1
ι : Type u_2
inst✝ : PseudoMetricSpace α
x : ι → α
r : ι → ℝ
R τ : ℝ
hτ : 3 < τ
hr : ∀ a ∈ ∅, r a ≤ R
⊢ ∀ a ∈ ∅, ∃ b ∈ ∅, closedBall (x a) (r a) ⊆ closedBall (x b) (τ * r b)

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: α : Type u_1
ι : Type u_2
inst✝ : PseudoMetricSpace α
x : ι → α
r : ι → ℝ
R τ : ℝ
hτ : 3 < τ
hr : ∀ a ∈ ∅, r a ≤ R
⊢ ∀ a ∈ ∅, ∃ b ∈ ∅, ball (x a) (r a) ⊆ ball (x b) (τ * r b)

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Integral.Average

Goal state before:
pp: α : Type u_1
E : Type u_2
m0 : MeasurableSpace α
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
μ : Measure α
inst✝ : IsFiniteMeasure μ
f : α → E
⊢ ∫ (x : α), ⨍ (a : α), f a ∂μ ∂μ = ∫ (x : α), f x ∂μ

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Sub

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
s : Set α
inst✝ : IsFiniteMeasure ν
h₁ : MeasurableSet s
h₂ : ν ≤ μ
⊢ μ ∅ - ν ∅ = 0

Tactic:
by simp

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Sub

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
s : Set α
h_meas_s : MeasurableSet s
⊢ (μ - ν).restrict s = μ.restrict s - ν.restrict s

Tactic:
repeat rw [sub_def]
  have h_nonempty : { d | μ ≤ d + ν }.Nonempty := ⟨μ, Measure.le_add_right le_rfl⟩
  rw [restrict_sInf_eq_sInf_restrict h_nonempty h_meas_s]
  apply le_antisymm
  · refine sInf_le_sInf_of_isCoinitialFor ?_
    intro ν' h_ν'_in
    rw [mem_ofPred_eq] at h_ν'_in
    refine ⟨ν'.restrict s, ?_, restrict_le_self⟩
    refine ⟨ν' + (⊤ : Measure α).restrict sᶜ, ?_, ?_⟩
    · rw [mem_ofPred_eq, add_right_comm, Measure.le_iff]
      intro t h_meas_t
      repeat rw [← measure_inter_add_sdiff t h_meas_s]
      refine add_le_add ?_ ?_
      · rw [add_apply, add_apply]
        apply le_add_right _
        rw [← restrict_eq_self μ inter_subset_right,
          ← restrict_eq_self ν inter_subset_right]
        apply h_ν'_in
      · rw [add_apply, restrict_apply (h_meas_t.diff h_meas_s), sdiff_eq, inter_assoc, inter_self,
          ← add_apply]
        have h_mu_le_add_top : μ ≤ ν' + ν + ⊤ := by simp only [add_top, le_top]
        exact Measure.le_iff'.1 h_mu_le_add_top _
    · ext1 t h_meas_t
      simp [restrict_apply h_meas_t, restrict_apply (h_meas_t.inter h_meas_s), inter_assoc]
  · refine sInf_le_sInf_of_isCoinitialFor ?_
    refine forall_mem_image.2 fun t h_t_in => ⟨t.restrict s, ?_, le_rfl⟩
    rw [Set.mem_ofPred_eq, ← restrict_add]
    exact restrict_mono Subset.rfl h_t_in

Goal state after:
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]
    exact MutuallySingular.zero_left

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
h : μ ⟂ₘ ν
⊢ μ = (μ, 0).1 + ν.withDensity (μ, 0).2

Tactic:
by simp

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
⊢ μ = (0, 1).1 + μ.withDensity (0, 1).2

Tactic:
by simp

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ✝ ν✝ μ ν : Measure α
inst✝ : μ.HaveLebesgueDecomposition ν
r : ℝ≥0
⊢ (r • μ).HaveLebesgueDecomposition ν

Tactic:
ENNReal.smul_def

Goal state after:
α : Type u_1
m : MeasurableSpace α
μ✝ ν✝ μ ν : Measure α
inst✝ : μ.HaveLebesgueDecomposition ν
r : ℝ≥0
⊢ (↑r • μ).HaveLebesgueDecomposition ν
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ✝ ν✝ μ ν : Measure α
inst✝ : μ.HaveLebesgueDecomposition ν
r : ℝ≥0
hmeas : Measurable (μ.rnDeriv ν)
hsing : μ.singularPart ν ⟂ₘ ν
hadd : μ = μ.singularPart ν + ν.withDensity (μ.rnDeriv ν)
hr : r = 0
⊢ μ = (μ, 0).1 + (r • ν).withDensity (μ, 0).2

Tactic:
by simp

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
⊢ μ.singularPart ν = (μ.singularPart ν, 0).1 + ν.withDensity (μ.singularPart ν, 0).2

Tactic:
by simp

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

Goal state before:
pp: case pos
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
r : ℝ≥0
hr : ¬r = 0
hl : μ.HaveLebesgueDecomposition ν
⊢ r • μ = ↑r • μ

Tactic:
ENNReal.smul_def

Goal state after:
case pos
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
r : ℝ≥0
hr : ¬r = 0
hl : μ.HaveLebesgueDecomposition ν
⊢ ↑r • μ = ↑r • μ
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
⊢ μ.withDensity ((r • ν).rnDeriv μ) = μ.withDensity (r • ν.rnDeriv μ)

Tactic:
ENNReal.smul_def

Goal state after:
α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
⊢ μ.withDensity ((↑r • ν).rnDeriv μ) = μ.withDensity (↑r • ν.rnDeriv μ)
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
hr : r ≠ 0
⊢ (r • μ).withDensity (ν.rnDeriv (r • μ)) = (r • μ).withDensity (r⁻¹ • ν.rnDeriv μ)

Tactic:
ENNReal.smul_def

Goal state after:
α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0
hr : r ≠ 0
⊢ (↑r • μ).withDensity (ν.rnDeriv (↑r • μ)) = (↑r • μ).withDensity (↑r⁻¹ • ν.rnDeriv μ)
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0∞
hr : r ≠ 0
hr_ne_top : r ≠ ∞
h : ν.rnDeriv (r.toNNReal • μ) =ᵐ[μ] r.toNNReal⁻¹ • ν.rnDeriv μ
x : α
⊢ ↑r.toNNReal⁻¹ * ν.rnDeriv μ x = r⁻¹ * ν.rnDeriv μ x

Tactic:
ENNReal.coe_inv,

Goal state after:
α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0∞
hr : r ≠ 0
hr_ne_top : r ≠ ∞
h : ν.rnDeriv (r.toNNReal • μ) =ᵐ[μ] r.toNNReal⁻¹ • ν.rnDeriv μ
x : α
⊢ (↑r.toNNReal)⁻¹ * ν.rnDeriv μ x = r⁻¹ * ν.rnDeriv μ x

α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0∞
hr : r ≠ 0
hr_ne_top : r ≠ ∞
h : ν.rnDeriv (r.toNNReal • μ) =ᵐ[μ] r.toNNReal⁻¹ • ν.rnDeriv μ
x : α
⊢ r.toNNReal ≠ 0
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
ν μ : Measure α
inst✝¹ : IsFiniteMeasure ν
inst✝ : ν.HaveLebesgueDecomposition μ
r : ℝ≥0∞
hr : r ≠ 0
hr_ne_top : r ≠ ∞
⊢ ν.rnDeriv (r • μ) =ᵐ[μ] r⁻¹ • ν.rnDeriv μ

Tactic:
have h : ν.rnDeriv (r.toNNReal • μ) =ᵐ[μ] r.toNNReal⁻¹ • ν.rnDeriv μ := by
    refine rnDeriv_smul_right ν μ ?_
    rw [ne_eq, ENNReal.toNNReal_eq_zero_iff]
    simp [hr, hr_ne_top]
  have : (r.toNNReal)⁻¹ • rnDeriv ν μ = r⁻¹ • rnDeriv ν μ := by
    ext x
    simp only [Pi.smul_apply, ENNReal.smul_def, smul_eq_mul]
    rw [ENNReal.coe_inv, ENNReal.coe_toNNReal hr_ne_top]
    rw [ne_eq, ENNReal.toNNReal_eq_zero_iff]
    simp [hr, hr_ne_top]
  simp_rw [this, ENNReal.smul_def, ENNReal.coe_toNNReal hr_ne_top] at h
  exact h

Goal state after:
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: case refine_1
α : Type u_1
ι : Type u_2
inst✝⁴ : PseudoMetricSpace α
inst✝³ : MeasurableSpace α
inst✝² : OpensMeasurableSpace α
inst✝¹ : SecondCountableTopology α
μ : Measure α
inst✝ : IsLocallyFiniteMeasure μ
C : ℝ≥0
h : ∀ (x : α), ∃ᶠ (r : ℝ) in 𝓝[>] 0, μ (closedBall x (3 * r)) ≤ ↑C * μ (closedBall x r)
s : Set α
f : α → Set (Set α)
fsubset :
  ∀ x ∈ s,
    f x ⊆
      {a |
        IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] a ∧
          (interior a).Nonempty ∧ ∃ r, a ⊆ closedBall x r ∧ μ (closedBall x (3 * r)) ≤ ↑C * μ a}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
t : Set (ℝ × α × Set α) :=
  {p |
    p.2.2 ⊆ closedBall p.2.1 p.1 ∧
      μ (closedBall p.2.1 (3 * p.1)) ≤ ↑C * μ p.2.2 ∧
        (interior p.2.2).Nonempty ∧
          IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] p.2.2 ∧ p.2.2 ∈ f p.2.1 ∧ p.2.1 ∈ s}
A : ∀ x ∈ s, ∀ ε > 0, ∃ p ∈ t, p.1 ≤ ε ∧ p.2.1 = x
t' : Set (ℝ × α × Set α)
t't : t' ⊆ t
left✝ : t'.Countable
t'_disj : t'.PairwiseDisjoint fun p ↦ p.2.2
μt' : μ (s \ ⋃ a ∈ t', a.2.2) = 0
⊢ ∀ p ∈ (fun p ↦ p.2) '' t', p.1 ∈ s

Tactic:
rintro - ⟨q, hq, rfl⟩

Goal state after:
case refine_1
α : Type u_1
ι : Type u_2
inst✝⁴ : PseudoMetricSpace α
inst✝³ : MeasurableSpace α
inst✝² : OpensMeasurableSpace α
inst✝¹ : SecondCountableTopology α
μ : Measure α
inst✝ : IsLocallyFiniteMeasure μ
C : ℝ≥0
h : ∀ (x : α), ∃ᶠ (r : ℝ) in 𝓝[>] 0, μ (closedBall x (3 * r)) ≤ ↑C * μ (closedBall x r)
s : Set α
f : α → Set (Set α)
fsubset :
  ∀ x ∈ s,
    f x ⊆
      {a |
        IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] a ∧
          (interior a).Nonempty ∧ ∃ r, a ⊆ closedBall x r ∧ μ (closedBall x (3 * r)) ≤ ↑C * μ a}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
t : Set (ℝ × α × Set α) :=
  {p |
    p.2.2 ⊆ closedBall p.2.1 p.1 ∧
      μ (closedBall p.2.1 (3 * p.1)) ≤ ↑C * μ p.2.2 ∧
        (interior p.2.2).Nonempty ∧
          IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] p.2.2 ∧ p.2.2 ∈ f p.2.1 ∧ p.2.1 ∈ s}
A : ∀ x ∈ s, ∀ ε > 0, ∃ p ∈ t, p.1 ≤ ε ∧ p.2.1 = x
t' : Set (ℝ × α × Set α)
t't : t' ⊆ t
left✝ : t'.Countable
t'_disj : t'.PairwiseDisjoint fun p ↦ p.2.2
μt' : μ (s \ ⋃ a ∈ t', a.2.2) = 0
q : ℝ × α × Set α
hq : q ∈ t'
⊢ ((fun p ↦ p.2) q).1 ∈ s
Module: Mathlib.MeasureTheory.Covering.Differentiation

Goal state before:
pp: α : Type u_1
inst✝⁴ : PseudoMetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
ε : ℝ≥0
εpos : ε > 0
s : Set α := {x | ¬∀ᶠ (a : Set α) in v.filterAt x, ρ a < ↑ε * μ a}
hs : s = {x | ¬∀ᶠ (a : Set α) in v.filterAt x, ρ a < ↑ε * μ a}
o : Set α
left✝ : MeasurableSet o
ρo : ρ o = 0
μo : μ oᶜ = 0
⊢ (↑ε)⁻¹ * (ε • μ) (s ∩ o) ≤ (↑ε)⁻¹ * ρ (s ∩ o)

Tactic:
by
        gcongr _ * ?_
        refine v.measure_le_of_frequently_le ρ smul_absolutelyContinuous _ ?_
        intro x hx
        rw [hs] at hx
        simp only [mem_inter_iff, not_lt, not_eventually, mem_ofPred_eq] at hx
        exact hx.1

Goal state after:
Module: Mathlib.MeasureTheory.Covering.Vitali

Goal state before:
pp: case refine_3
α : Type u_1
ι : Type u_2
inst✝⁴ : PseudoMetricSpace α
inst✝³ : MeasurableSpace α
inst✝² : OpensMeasurableSpace α
inst✝¹ : SecondCountableTopology α
μ : Measure α
inst✝ : IsLocallyFiniteMeasure μ
C : ℝ≥0
h : ∀ (x : α), ∃ᶠ (r : ℝ) in 𝓝[>] 0, μ (closedBall x (3 * r)) ≤ ↑C * μ (closedBall x r)
s : Set α
f : α → Set (Set α)
fsubset :
  ∀ x ∈ s,
    f x ⊆
      {a |
        IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] a ∧
          (interior a).Nonempty ∧ ∃ r, a ⊆ closedBall x r ∧ μ (closedBall x (3 * r)) ≤ ↑C * μ a}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
t : Set (ℝ × α × Set α) :=
  {p |
    p.2.2 ⊆ closedBall p.2.1 p.1 ∧
      μ (closedBall p.2.1 (3 * p.1)) ≤ ↑C * μ p.2.2 ∧
        (interior p.2.2).Nonempty ∧
          IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] p.2.2 ∧ p.2.2 ∈ f p.2.1 ∧ p.2.1 ∈ s}
A : ∀ x ∈ s, ∀ ε > 0, ∃ p ∈ t, p.1 ≤ ε ∧ p.2.1 = x
t' : Set (ℝ × α × Set α)
t't : t' ⊆ t
left✝ : t'.Countable
t'_disj : t'.PairwiseDisjoint fun p ↦ p.2.2
μt' : μ (s \ ⋃ a ∈ t', a.2.2) = 0
⊢ ∀ p ∈ (fun p ↦ p.2) '' t', p.2 ∈ f p.1

Tactic:
rintro - ⟨q, hq, rfl⟩

Goal state after:
case refine_3
α : Type u_1
ι : Type u_2
inst✝⁴ : PseudoMetricSpace α
inst✝³ : MeasurableSpace α
inst✝² : OpensMeasurableSpace α
inst✝¹ : SecondCountableTopology α
μ : Measure α
inst✝ : IsLocallyFiniteMeasure μ
C : ℝ≥0
h : ∀ (x : α), ∃ᶠ (r : ℝ) in 𝓝[>] 0, μ (closedBall x (3 * r)) ≤ ↑C * μ (closedBall x r)
s : Set α
f : α → Set (Set α)
fsubset :
  ∀ x ∈ s,
    f x ⊆
      {a |
        IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] a ∧
          (interior a).Nonempty ∧ ∃ r, a ⊆ closedBall x r ∧ μ (closedBall x (3 * r)) ≤ ↑C * μ a}
ffine : ∀ x ∈ s, ∀ ε > 0, ∃ t ∈ f x, t ⊆ closedBall x ε
t : Set (ℝ × α × Set α) :=
  {p |
    p.2.2 ⊆ closedBall p.2.1 p.1 ∧
      μ (closedBall p.2.1 (3 * p.1)) ≤ ↑C * μ p.2.2 ∧
        (interior p.2.2).Nonempty ∧
          IsClosed[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] p.2.2 ∧ p.2.2 ∈ f p.2.1 ∧ p.2.1 ∈ s}
A : ∀ x ∈ s, ∀ ε > 0, ∃ p ∈ t, p.1 ≤ ε ∧ p.2.1 = x
t' : Set (ℝ × α × Set α)
t't : t' ⊆ t
left✝ : t'.Countable
t'_disj : t'.PairwiseDisjoint fun p ↦ p.2.2
μt' : μ (s \ ⋃ a ∈ t', a.2.2) = 0
q : ℝ × α × Set α
hq : q ∈ t'
⊢ ((fun p ↦ p.2) q).2 ∈ f ((fun p ↦ p.2) q).1
Module: Mathlib.MeasureTheory.Covering.DensityTheorem

Goal state before:
pp: α : Type u_1
inst✝⁵ : PseudoMetricSpace α
inst✝⁴ : MeasurableSpace α
μ : Measure α
inst✝³ : IsUnifLocDoublingMeasure μ
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
S : Set α
K : ℝ
x : α
hx : Tendsto (fun a ↦ μ (S ∩ a) / μ a) ((vitaliFamily μ K).filterAt x) (𝓝 1)
ι : Type u_3
⊢ ∀ {l : Filter ι} (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ μ (S ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1)

Tactic:
l

Goal state after:
α : Type u_1
inst✝⁵ : PseudoMetricSpace α
inst✝⁴ : MeasurableSpace α
μ : Measure α
inst✝³ : IsUnifLocDoublingMeasure μ
inst✝² : SecondCountableTopology α
inst✝¹ : BorelSpace α
inst✝ : IsLocallyFiniteMeasure μ
S : Set α
K : ℝ
x : α
hx : Tendsto (fun a ↦ μ (S ∩ a) / μ a) ((vitaliFamily μ K).filterAt x) (𝓝 1)
ι : Type u_3
l : Filter ι
⊢ ∀ (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ μ (S ∩ closedBall (w j) (δ j)) / μ (closedBall (w j) (δ j))) l (𝓝 1)
Module: Mathlib.MeasureTheory.Covering.DensityTheorem

Goal state before:
pp: α : Type u_1
inst✝⁶ : PseudoMetricSpace α
inst✝⁵ : MeasurableSpace α
μ : Measure α
inst✝⁴ : IsUnifLocDoublingMeasure μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
E : Type u_2
inst✝ : NormedAddCommGroup E
f : α → E
hf : LocallyIntegrable f μ
K : ℝ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ) ((vitaliFamily μ K).filterAt x) (𝓝 0)
ι : Type u_3
⊢ ∀ {l : Filter ι} (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ ⨍ (y : α) in closedBall (w j) (δ j), ‖f y - f x‖ ∂μ) l (𝓝 0)

Tactic:
l

Goal state after:
α : Type u_1
inst✝⁶ : PseudoMetricSpace α
inst✝⁵ : MeasurableSpace α
μ : Measure α
inst✝⁴ : IsUnifLocDoublingMeasure μ
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
E : Type u_2
inst✝ : NormedAddCommGroup E
f : α → E
hf : LocallyIntegrable f μ
K : ℝ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, ‖f y - f x‖ ∂μ) ((vitaliFamily μ K).filterAt x) (𝓝 0)
ι : Type u_3
l : Filter ι
⊢ ∀ (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ ⨍ (y : α) in closedBall (w j) (δ j), ‖f y - f x‖ ∂μ) l (𝓝 0)
Module: Mathlib.MeasureTheory.Covering.DensityTheorem

Goal state before:
pp: α : Type u_1
inst✝⁸ : PseudoMetricSpace α
inst✝⁷ : MeasurableSpace α
μ : Measure α
inst✝⁶ : IsUnifLocDoublingMeasure μ
inst✝⁵ : SecondCountableTopology α
inst✝⁴ : BorelSpace α
inst✝³ : IsLocallyFiniteMeasure μ
E : Type u_2
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : α → E
hf : LocallyIntegrable f μ
K : ℝ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, f y ∂μ) ((vitaliFamily μ K).filterAt x) (𝓝 (f x))
ι : Type u_3
⊢ ∀ {l : Filter ι} (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ ⨍ (y : α) in closedBall (w j) (δ j), f y ∂μ) l (𝓝 (f x))

Tactic:
l

Goal state after:
α : Type u_1
inst✝⁸ : PseudoMetricSpace α
inst✝⁷ : MeasurableSpace α
μ : Measure α
inst✝⁶ : IsUnifLocDoublingMeasure μ
inst✝⁵ : SecondCountableTopology α
inst✝⁴ : BorelSpace α
inst✝³ : IsLocallyFiniteMeasure μ
E : Type u_2
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
f : α → E
hf : LocallyIntegrable f μ
K : ℝ
x : α
hx : Tendsto (fun a ↦ ⨍ (y : α) in a, f y ∂μ) ((vitaliFamily μ K).filterAt x) (𝓝 (f x))
ι : Type u_3
l : Filter ι
⊢ ∀ (w : ι → α) (δ : ι → ℝ),
    Tendsto δ l (𝓝[>] 0) →
      (∀ᶠ (j : ι) in l, x ∈ closedBall (w j) (K * δ j)) →
        Tendsto (fun j ↦ ⨍ (y : α) in closedBall (w j) (δ j), f y ∂μ) l (𝓝 (f x))
Module: Mathlib.MeasureTheory.Covering.OneDim

Goal state before:
pp: x : ℝ
⊢ Tendsto (fun y ↦ Icc y x) (𝓝[<] x) ((vitaliFamily volume 1).filterAt x)

Tactic:
refine (VitaliFamily.tendsto_filterAt_iff _).2 ⟨?_, ?_⟩
  · filter_upwards [self_mem_nhdsWithin] with y hy using Icc_mem_vitaliFamily_at_left hy
  · intro ε εpos
    filter_upwards [Icc_mem_nhdsLT <| show x - ε < x by linarith] with y hy
    rw [closedBall_eq_Icc]
    exact Icc_subset_Icc hy.1 (by linarith)

Goal state after: