/-- Given two thresholds `p < q`, the sets `{x | v.limRatio ρ x < p}`
and `{x | q < v.limRatio ρ x}` are obviously disjoint. The key to proving that `v.limRatio ρ` is
almost everywhere measurable is to show that these sets have measurable supersets which are also
disjoint, up to zero measure. This is the content of this lemma. -/
theorem exists_measurable_supersets_limRatio {p q : ℝ≥0} (hpq : p < q) :
    ∃ a b, MeasurableSet a ∧ MeasurableSet b ∧
      {x | v.limRatio ρ x < p} ⊆ a ∧ {x | (q : ℝ≥0∞) < v.limRatio ρ x} ⊆ b ∧ μ (a ∩ b) = 0 := by
  /- Here is a rough sketch, assuming that the measure is finite and the limit is well defined
    everywhere. Let `u := {x | v.limRatio ρ x < p}` and `w := {x | q < v.limRatio ρ x}`. They
    have measurable supersets `u'` and `w'` of the same measure. We will show that these satisfy
    the conclusion of the theorem, i.e., `μ (u' ∩ w') = 0`. For this, note that
    `ρ (u' ∩ w') = ρ (u ∩ w')` (as `w'` is measurable, see `measure_toMeasurable_add_inter_left`).
    The latter set is included in the set where the limit of the ratios is `< p`, and therefore
    its measure is `≤ p * μ (u ∩ w')`. Using the same trick in the other direction gives that this
    is `p * μ (u' ∩ w')`. We have shown that `ρ (u' ∩ w') ≤ p * μ (u' ∩ w')`. Arguing in the same
    way but using the `w` part gives `q * μ (u' ∩ w') ≤ ρ (u' ∩ w')`. If `μ (u' ∩ w')` were nonzero,
    this would be a contradiction as `p < q`.

    For the rigorous proof, we need to work on a part of the space where the measure is finite
    (provided by `spanningSets (ρ + μ)`) and to restrict to the set where the limit is well defined
    (called `s` below, of full measure). Otherwise, the argument goes through.
    -/
  let s := {x | ∃ c, Tendsto (fun a => ρ a / μ a) (v.filterAt x) (𝓝 c)}
  let o : ℕ → Set α := spanningSets (ρ + μ)
  let u n := s ∩ {x | v.limRatio ρ x < p} ∩ o n
  let w n := s ∩ {x | (q : ℝ≥0∞) < v.limRatio ρ x} ∩ o n
  -- the supersets are obtained by restricting to the set `s` where the limit is well defined, to
  -- a finite measure part `o n`, taking a measurable superset here, and then taking the union over
  -- `n`.
  refine'
    ⟨toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (u n),
      toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (w n), _, _, _, _, _⟩
  -- check that these sets are measurable supersets as required
  · exact
      (measurableSet_toMeasurable _ _).union
        (MeasurableSet.iUnion fun n => measurableSet_toMeasurable _ _)
  · exact
      (measurableSet_toMeasurable _ _).union
        (MeasurableSet.iUnion fun n => measurableSet_toMeasurable _ _)
  · intro x hx
    by_cases h : x ∈ s
    · refine' Or.inr (mem_iUnion.2 ⟨spanningSetsIndex (ρ + μ) x, _⟩)
      exact subset_toMeasurable _ _ ⟨⟨h, hx⟩, mem_spanningSetsIndex _ _⟩
    · exact Or.inl (subset_toMeasurable μ sᶜ h)
  · intro x hx
    by_cases h : x ∈ s
    · refine' Or.inr (mem_iUnion.2 ⟨spanningSetsIndex (ρ + μ) x, _⟩)
      exact subset_toMeasurable _ _ ⟨⟨h, hx⟩, mem_spanningSetsIndex _ _⟩
    · exact Or.inl (subset_toMeasurable μ sᶜ h)
  -- it remains to check the nontrivial part that these sets have zero measure intersection.
  -- it suffices to do it for fixed `m` and `n`, as one is taking countable unions.
  suffices H : ∀ m n : ℕ, μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) = 0
  · have A :
      (toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (u n)) ∩
          (toMeasurable μ sᶜ ∪ ⋃ n, toMeasurable (ρ + μ) (w n)) ⊆
        toMeasurable μ sᶜ ∪
          ⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n) := by
      simp only [inter_distrib_left, inter_distrib_right, true_and_iff, subset_union_left,
        union_subset_iff, inter_self]
      refine' ⟨_, _, _⟩
      · exact (inter_subset_right _ _).trans (subset_union_left _ _)
      · exact (inter_subset_left _ _).trans (subset_union_left _ _)
      · simp_rw [iUnion_inter, inter_iUnion]; exact subset_union_right _ _
    refine' le_antisymm ((measure_mono A).trans _) bot_le
    calc
      μ (toMeasurable μ sᶜ ∪
        ⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
          μ (toMeasurable μ sᶜ) +
            μ (⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
        measure_union_le _ _
      _ = μ (⋃ (m) (n), toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
        have : μ sᶜ = 0 := v.ae_tendsto_div hρ; rw [measure_toMeasurable, this, zero_add]
      _ ≤ ∑' (m) (n), μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
        ((measure_iUnion_le _).trans (ENNReal.tsum_le_tsum fun m => measure_iUnion_le _))
      _ = 0 := by simp only [H, tsum_zero]
  -- now starts the nontrivial part of the argument. We fix `m` and `n`, and show that the
  -- measurable supersets of `u m` and `w n` have zero measure intersection by using the lemmas
  -- `measure_toMeasurable_add_inter_left` (to reduce to `u m` or `w n` instead of the measurable
  -- superset) and `measure_le_of_frequently_le` to compare their measures for `ρ` and `μ`.
  intro m n
  have I : (ρ + μ) (u m) ≠ ∞ := by
    apply (lt_of_le_of_lt (measure_mono _) (measure_spanningSets_lt_top (ρ + μ) m)).ne
    exact inter_subset_right _ _
  have J : (ρ + μ) (w n) ≠ ∞ := by
    apply (lt_of_le_of_lt (measure_mono _) (measure_spanningSets_lt_top (ρ + μ) n)).ne
    exact inter_subset_right _ _
  have A :
    ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
      p * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
    calc
      ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) =
          ρ (u m ∩ toMeasurable (ρ + μ) (w n)) :=
        measure_toMeasurable_add_inter_left (measurableSet_toMeasurable _ _) I
      _ ≤ (p • μ) (u m ∩ toMeasurable (ρ + μ) (w n)) := by
        refine' v.measure_le_of_frequently_le (p • μ) hρ _ fun x hx => _
        have L : Tendsto (fun a : Set α => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatio ρ x)) :=
          tendsto_nhds_limUnder hx.1.1.1
        have I : ∀ᶠ b : Set α in v.filterAt x, ρ b / μ b < p := (tendsto_order.1 L).2 _ hx.1.1.2
        apply I.frequently.mono fun a ha => ?_
        rw [coe_nnreal_smul_apply]
        refine' (ENNReal.div_le_iff_le_mul _ (Or.inr (bot_le.trans_lt ha).ne')).1 ha.le
        simp only [ENNReal.coe_ne_top, Ne.def, or_true_iff, not_false_iff]
      _ = p * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
        simp only [coe_nnreal_smul_apply,
          measure_toMeasurable_add_inter_right (measurableSet_toMeasurable _ _) I]
  

Proof state:
case H
α : Type u_1
inst✝⁵ : MetricSpace α
m0 : MeasurableSpace α
μ : Measure α
v : VitaliFamily μ
E : Type u_2
inst✝⁴ : NormedAddCommGroup E
inst✝³ : SecondCountableTopology α
inst✝² : BorelSpace α
inst✝¹ : IsLocallyFiniteMeasure μ
ρ : Measure α
inst✝ : IsLocallyFiniteMeasure ρ
hρ : ρ ≪ μ
p q : ℝ≥0
hpq : p < q
s : Set α := {x | ∃ c, Tendsto (fun a => ↑↑ρ a / ↑↑μ a) (filterAt v x) (𝓝 c)}
o : ℕ → Set α := spanningSets (ρ + μ)
u : ℕ → Set α := fun n => s ∩ {x | limRatio v ρ x < ↑p} ∩ o n
w : ℕ → Set α := fun n => s ∩ {x | ↑q < limRatio v ρ x} ∩ o n
m n : ℕ
I : ↑↑(ρ + μ) (u m) ≠ ⊤
J : ↑↑(ρ + μ) (w n) ≠ ⊤
A :
  ↑↑ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
    ↑p * ↑↑μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n))
⊢ ↑↑μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) = 0

Next tactic:
have B :
    (q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) ≤
      ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) :=
    calc
      (q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) =
          (q : ℝ≥0∞) * μ (toMeasurable (ρ + μ) (u m) ∩ w n) := by
        conv_rhs => rw [inter_comm]
        rw [inter_comm, measure_toMeasurable_add_inter_right (measurableSet_toMeasurable _ _) J]
      _ ≤ ρ (toMeasurable (ρ + μ) (u m) ∩ w n) := by
        rw [← coe_nnreal_smul_apply]
        refine' v.measure_le_of_frequently_le _ (AbsolutelyContinuous.rfl.smul _) _ _
        intro x hx
        have L : Tendsto (fun a : Set α => ρ a / μ a) (v.filterAt x) (𝓝 (v.limRatio ρ x)) :=
          tendsto_nhds_limUnder hx.2.1.1
        have I : ∀ᶠ b : Set α in v.filterAt x, (q : ℝ≥0∞) < ρ b / μ b :=
          (tendsto_order.1 L).1 _ hx.2.1.2
        apply I.frequently.mono fun a ha => ?_
        rw [coe_nnreal_smul_apply]
        exact ENNReal.mul_le_of_le_div ha.le
      _ = ρ (toMeasurable (ρ + μ) (u m) ∩ toMeasurable (ρ + μ) (w n)) := by
        conv_rhs => rw [inter_comm]
        rw [inter_comm]
        exact (measure_toMeasurable_add_inter_left (measurableSet_toMeasurable _ _) J).symm