-- Mathlib/MeasureTheory/Constructions/BorelSpace/Real.lean
theorem exists_spanning_measurableSet_le {f : α → ℝ≥0} (hf : Measurable f) (μ : Measure α)
    [SigmaFinite μ] :
    ∃ s : ℕ → Set α,
      (∀ n, MeasurableSet (s n) ∧ μ (s n) < ∞ ∧ ∀ x ∈ s n, f x ≤ n) ∧
      ⋃ i, s i = Set.univ

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
⊢ ∀ (n : ℕ), MeasurableSet (sets n)

Tactic:
refine fun n => MeasurableSet.inter ?_ ?_

Result:
case refine_1
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
n : ℕ
⊢ MeasurableSet (sigma_finite_sets n)

case refine_2
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
n : ℕ
⊢ MeasurableSet (norm_sets n)

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
⊢ ∃ s, (∀ (n : ℕ), MeasurableSet (s n) ∧ μ (s n) < ⊤ ∧ ∀ x ∈ s n, f x ≤ ↑n) ∧ ⋃ i, s i = univ

Tactic:
refine ⟨sets, fun n => ⟨h_meas n, h_finite n, ?_⟩, ?_⟩

Result:
case refine_1
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
n : ℕ
⊢ ∀ x ∈ sets n, f x ≤ ↑n

case refine_2
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
⊢ ⋃ i, sets i = univ

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
⊢ ∃ s, (∀ (n : ℕ), MeasurableSet (s n) ∧ μ (s n) < ⊤ ∧ ∀ x ∈ s n, f x ≤ ↑n) ∧ ⋃ i, s i = univ

Tactic:
let sets n := sigma_finite_sets n ∩ norm_sets n

Result:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
⊢ ∃ s, (∀ (n : ℕ), MeasurableSet (s n) ∧ μ (s n) < ⊤ ∧ ∀ x ∈ s n, f x ≤ ↑n) ∧ ⋃ i, s i = univ

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
n : ℕ
⊢ μ (sigma_finite_sets n) < ⊤

Tactic:
exact measure_spanningSets_lt_top μ n

Result:
no goals

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
⊢ ⋃ n, norm_sets n = univ

Tactic:
ext1 x

Result:
case h
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
x : α
⊢ x ∈ ⋃ n, norm_sets n ↔ x ∈ univ

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
⊢ ∃ s, (∀ (n : ℕ), MeasurableSet (s n) ∧ μ (s n) < ⊤ ∧ ∀ x ∈ s n, f x ≤ ↑n) ∧ ⋃ i, s i = univ

Tactic:
have h_finite : ∀ n, μ (sets n) < ∞ := by
  refine fun n => (measure_mono Set.inter_subset_left).trans_lt ?_
  exact measure_spanningSets_lt_top μ n

Result:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
⊢ ∃ s, (∀ (n : ℕ), MeasurableSet (s n) ∧ μ (s n) < ⊤ ∧ ∀ x ∈ s n, f x ≤ ↑n) ∧ ⋃ i, s i = univ

Proof state:
case refine_1
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
n : ℕ
⊢ ∀ x ∈ sets n, f x ≤ ↑n

Tactic:
exact fun x hx => hx.2

Result:
no goals

Proof state:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
⊢ ⋃ i, sigma_finite_sets i ∩ norm_sets i = (⋃ i, sigma_finite_sets i) ∩ ⋃ i, norm_sets i

Tactic:
refine Set.iUnion_inter_of_monotone (monotone_spanningSets μ) fun i j hij x => ?_

Result:
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
h_meas : ∀ (n : ℕ), MeasurableSet (sets n)
h_finite : ∀ (n : ℕ), μ (sets n) < ⊤
i j : ℕ
hij : i ≤ j
x : α
⊢ x ∈ norm_sets i → x ∈ norm_sets j

Proof state:
case refine_2
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ≥0
hf : Measurable f
μ : Measure α
inst✝ : SigmaFinite μ
sigma_finite_sets : ℕ → Set α := spanningSets μ
norm_sets : ℕ → Set α := fun n => {x | f x ≤ ↑n}
norm_sets_spanning : ⋃ n, norm_sets n = univ
sets : ℕ → Set α := fun n => sigma_finite_sets n ∩ norm_sets n
n : ℕ
⊢ MeasurableSet (norm_sets n)

Tactic:
exact hf measurableSet_Iic

Result:
no goals