mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Function.UniformIntegrable

Goal state before:
pp: α : Type u_1
β : Type u_2
m : MeasurableSpace α
μ : Measure α
inst✝ : NormedAddCommGroup β
p : ℝ≥0∞
f : α → β
hp_one : 1 ≤ p
hp_top : p ≠ ∞
hf : MemLp f p μ
hmeas : StronglyMeasurable f
ε : ℝ
hε : 0 < ε
M : ℝ
hMpos : 0 < M
hM : eLpNorm ({x | M ≤ ↑‖f x‖₊}.indicator f) p μ ≤ ENNReal.ofReal ε
⊢ ∀ (x : α), ‖{x | ‖f x‖ < M}.indicator f x‖ < ?m.95

Tactic:
by
      intro x
      rw [norm_indicator_eq_indicator_norm, Set.indicator_apply]
      · split_ifs with h
        exacts [h, hMpos]

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

Goal state before:
pp: case neg.hd
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi₁ : MeasurableSet i
hi₂ : s i < 0
h : ¬s ≤[i] 0
hn : ∃ n, s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
k : ℕ := Nat.find hn
hk₂ : s ≤[i \ ⋃ l, ⋃ (_ : l < k), s.restrictNonposSeq i l] 0
hmeas : MeasurableSet (⋃ l, ⋃ (_ : l < k), s.restrictNonposSeq i l)
a b : ℕ
hab : a ≠ b
x✝ : a < k
⊢ Disjoint (s.restrictNonposSeq i a) ((fun l ↦ ⋃ (_ : l < k), s.restrictNonposSeq i l) b)

Tactic:
refine Set.disjoint_iUnion_right.mpr fun _ => ?_

Goal state after:
case neg.hd
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi₁ : MeasurableSet i
hi₂ : s i < 0
h : ¬s ≤[i] 0
hn : ∃ n, s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
k : ℕ := Nat.find hn
hk₂ : s ≤[i \ ⋃ l, ⋃ (_ : l < k), s.restrictNonposSeq i l] 0
hmeas : MeasurableSet (⋃ l, ⋃ (_ : l < k), s.restrictNonposSeq i l)
a b : ℕ
hab : a ≠ b
x✝¹ : a < k
x✝ : b < k
⊢ Disjoint (s.restrictNonposSeq i a) (s.restrictNonposSeq i b)
Module: Mathlib.MeasureTheory.VectorMeasure.Decomposition.Hahn

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ s i = s A + ∑' (l : ℕ), s (s.restrictNonposSeq i l)

Tactic:
rw [hA, ← s.of_disjoint_iUnion, add_comm, of_add_of_sdiff]

Goal state after:
case hA
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ MeasurableSet (⋃ i_1, s.restrictNonposSeq i i_1)

case hB
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ MeasurableSet i

case h
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ ⋃ i_1, s.restrictNonposSeq i i_1 ⊆ i

case hm
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ ∀ (i_1 : ℕ), MeasurableSet (s.restrictNonposSeq i i_1)

case hd
α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i : Set α
hi : s i < 0
hi₁ : MeasurableSet i
h : ¬s ≤[i] 0
hn : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l < n), s.restrictNonposSeq i l] 0
A : Set α := i \ ⋃ l, s.restrictNonposSeq i l
hA : A = i \ ⋃ l, s.restrictNonposSeq i l
bdd : ℕ → ℕ := fun n ↦ s.findExistsOneDivLT (i \ ⋃ k, ⋃ (_ : k ≤ n), s.restrictNonposSeq i k)
hn' : ∀ (n : ℕ), ¬s ≤[i \ ⋃ l, ⋃ (_ : l ≤ n), s.restrictNonposSeq i l] 0
⊢ Pairwise (Function.onFun Disjoint (s.restrictNonposSeq i))
Module: Mathlib.MeasureTheory.VectorMeasure.Decomposition.Jordan

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
j₁ j₂ : JordanDecomposition α
hj : j₁.toSignedMeasure = j₂.toSignedMeasure
S : Set α
hS₁ : MeasurableSet S
hS₂ : j₁.toSignedMeasure ≤[S] 0
hS₃ : 0 ≤[Sᶜ] j₁.toSignedMeasure
hS₄ : j₁.posPart S = 0
hS₅ : j₁.negPart Sᶜ = 0
T : Set α
hT₁ : MeasurableSet T
hT₂ : j₁.toSignedMeasure ≤[T] 0
hT₃ : 0 ≤[Tᶜ] j₁.toSignedMeasure
hT₄ : j₂.posPart T = 0
hT₅ : j₂.negPart Tᶜ = 0
hST₁ : j₁.toSignedMeasure (symmDiff Sᶜ Tᶜ) = 0
i : Set α
hi : MeasurableSet i
⊢ j₁.posPart.real (i ∩ S ∪ i ∩ Sᶜ) = j₁.posPart.real (i ∩ Sᶜ)

Tactic:
rw [measureReal_union, measureReal_def,
      show j₁.posPart (i ∩ S) = 0 from
        nonpos_iff_eq_zero.1 (hS₄ ▸ measure_mono Set.inter_subset_right),
      ENNReal.toReal_zero, zero_add]

Goal state after:
case hd
α : Type u_1
inst✝ : MeasurableSpace α
j₁ j₂ : JordanDecomposition α
hj : j₁.toSignedMeasure = j₂.toSignedMeasure
S : Set α
hS₁ : MeasurableSet S
hS₂ : j₁.toSignedMeasure ≤[S] 0
hS₃ : 0 ≤[Sᶜ] j₁.toSignedMeasure
hS₄ : j₁.posPart S = 0
hS₅ : j₁.negPart Sᶜ = 0
T : Set α
hT₁ : MeasurableSet T
hT₂ : j₁.toSignedMeasure ≤[T] 0
hT₃ : 0 ≤[Tᶜ] j₁.toSignedMeasure
hT₄ : j₂.posPart T = 0
hT₅ : j₂.negPart Tᶜ = 0
hST₁ : j₁.toSignedMeasure (symmDiff Sᶜ Tᶜ) = 0
i : Set α
hi : MeasurableSet i
⊢ Disjoint (i ∩ S) (i ∩ Sᶜ)

case h
α : Type u_1
inst✝ : MeasurableSpace α
j₁ j₂ : JordanDecomposition α
hj : j₁.toSignedMeasure = j₂.toSignedMeasure
S : Set α
hS₁ : MeasurableSet S
hS₂ : j₁.toSignedMeasure ≤[S] 0
hS₃ : 0 ≤[Sᶜ] j₁.toSignedMeasure
hS₄ : j₁.posPart S = 0
hS₅ : j₁.negPart Sᶜ = 0
T : Set α
hT₁ : MeasurableSet T
hT₂ : j₁.toSignedMeasure ≤[T] 0
hT₃ : 0 ≤[Tᶜ] j₁.toSignedMeasure
hT₄ : j₂.posPart T = 0
hT₅ : j₂.negPart Tᶜ = 0
hST₁ : j₁.toSignedMeasure (symmDiff Sᶜ Tᶜ) = 0
i : Set α
hi : MeasurableSet i
⊢ MeasurableSet (i ∩ Sᶜ)
Module: Mathlib.MeasureTheory.VectorMeasure.Basic

Goal state before:
pp: case hi
α : Type u_1
m : MeasurableSpace α
M : Type u_4
inst✝¹ : AddCommMonoid M
inst✝ : TopologicalSpace M
n : MeasurableSpace α
v : VectorMeasure α M
hle : m ≤ n
i : Set α
hi : MeasurableSet i
j : Set α
hj : MeasurableSet j
⊢ MeasurableSet (j ∩ i)

pp: case hi
α : Type u_1
m : MeasurableSpace α
M : Type u_4
inst✝¹ : AddCommMonoid M
inst✝ : TopologicalSpace M
n : MeasurableSpace α
v : VectorMeasure α M
hle : m ≤ n
i : Set α
hi : MeasurableSet i
j : Set α
hj : MeasurableSet j
⊢ MeasurableSet i

pp: case hj
α : Type u_1
m : MeasurableSpace α
M : Type u_4
inst✝¹ : AddCommMonoid M
inst✝ : TopologicalSpace M
n : MeasurableSpace α
v : VectorMeasure α M
hle : m ≤ n
i : Set α
hi : MeasurableSet i
j : Set α
hj : MeasurableSet j
⊢ MeasurableSet j

pp: case hi
α : Type u_1
m : MeasurableSpace α
M : Type u_4
inst✝¹ : AddCommMonoid M
inst✝ : TopologicalSpace M
n : MeasurableSpace α
v : VectorMeasure α M
hle : m ≤ n
i : Set α
hi : MeasurableSet i
j : Set α
hj : MeasurableSet j
⊢ MeasurableSet i

pp: case hj
α : Type u_1
m : MeasurableSpace α
M : Type u_4
inst✝¹ : AddCommMonoid M
inst✝ : TopologicalSpace M
n : MeasurableSpace α
v : VectorMeasure α M
hle : m ≤ n
i : Set α
hi : MeasurableSet i
j : Set α
hj : MeasurableSet j
⊢ MeasurableSet j

Tactic:
all_goals measurability

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

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i j : Set α
hi : MeasurableSet i
hj : MeasurableSet j
hi' : (∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ i → 0 j ≤ s j) ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j
hj' : 0 ≤[j] s ∧ ∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ jᶜ → s j_1 ≤ 0 j_1
⊢ MeasurableSet j

pp: α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i j : Set α
hi : MeasurableSet i
hj : MeasurableSet j
hi' : 0 ≤[i] s ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j
hj' : 0 ≤[j] s ∧ ∀ ⦃j_1 : Set α⦄, MeasurableSet j_1 → j_1 ⊆ jᶜ → s j_1 ≤ 0 j_1
⊢ MeasurableSet i

pp: α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i j : Set α
hi : MeasurableSet i
hj : MeasurableSet j
hi' : 0 ≤[i] s ∧ ∀ ⦃j : Set α⦄, MeasurableSet j → j ⊆ iᶜ → s j ≤ 0 j
hj' : 0 ≤[j] s ∧ s ≤[jᶜ] 0
⊢ MeasurableSet jᶜ

pp: α : Type u_1
inst✝ : MeasurableSpace α
s : SignedMeasure α
i j : Set α
hi : MeasurableSet i
hj : MeasurableSet j
hi' : 0 ≤[i] s ∧ s ≤[iᶜ] 0
hj' : 0 ≤[j] s ∧ s ≤[jᶜ] 0
⊢ MeasurableSet iᶜ

Tactic:
all_goals measurability

Goal state after:
Module: Mathlib.MeasureTheory.Function.LpSeminorm.LpNorm

Goal state before:
pp: case pos
α : Type u_1
E : Type u_2
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝ : NormedAddCommGroup E
f : α → E
g : α → ℝ
hg : MemLp g p μ
h : ∀ (x : α), ‖f x‖ ≤ g x
hf : AEStronglyMeasurable f μ
⊢ (eLpNorm f p μ).toReal ≤ lpNorm g p μ

Tactic:
← toReal_eLpNorm hg.aestronglyMeasurable

Goal state after:
case pos
α : Type u_1
E : Type u_2
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝ : NormedAddCommGroup E
f : α → E
g : α → ℝ
hg : MemLp g p μ
h : ∀ (x : α), ‖f x‖ ≤ g x
hf : AEStronglyMeasurable f μ
⊢ (eLpNorm f p μ).toReal ≤ (eLpNorm g p μ).toReal
Module: Mathlib.MeasureTheory.Function.LpSeminorm.LpNorm

Goal state before:
pp: α : Type u_1
E : Type u_2
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝ : NormedAddCommGroup E
f : α → E
c : ℝ≥0
hc : c ≠ 0
⊢ lpNorm f p (c • μ) = c ^ p.toReal⁻¹ • lpNorm f p μ

Tactic:
by
  by_cases hf : AEStronglyMeasurable f μ
  · simp [← toReal_eLpNorm, hf, hf.smul_measure, eLpNorm_smul_measure_of_ne_zero' hc f p μ]
    simp [ENNReal.smul_def, NNReal.smul_def]
  · rw [lpNorm_of_not_aestronglyMeasurable hf, lpNorm_of_not_aestronglyMeasurable fun h ↦ hf <| by
      simpa [hc] using h.smul_measure c⁻¹]
    simp

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Real

Goal state before:
pp: case neg.refine_2
α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
E : Type u_2
inst✝⁶ : NormedAddCommGroup E
inst✝⁵ : NormedSpace ℝ E
inst✝⁴ : CompleteSpace E
inst✝³ : PartialOrder E
inst✝² : ClosedIciTopology E
inst✝¹ : IsOrderedAddMonoid E
inst✝ : IsOrderedModule ℝ E
f : α → E
c : E
hc : 0 ≤ c
hfc : ∀ᵐ (x : α) ∂μ, f x ≤ c
hm : m ≤ m0
hfint : Integrable f μ
hsig : SigmaFinite (μ.trim hm)
n : ℕ
⊢ (μ.restrict (spanningSets (μ.trim hm) n)) {x | (fun x ↦ μ[f | m] x ≤ c) x}ᶜ = 0

Tactic:
· have h1 := condExp_restrict_ae_eq_restrict hm (measurableSet_spanningSets (μ.trim hm) n) hfint
    have h2 := condExp_mono (μ := μ.restrict (spanningSets (μ.trim hm) n)) (m := m)
      hfint.restrict (integrable_const c) (ae_restrict_of_ae hfc)
    filter_upwards [h1, h2] with a ha hb
    grw [← ha, hb, condExp_const hm]

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

Goal state before:
pp: case h.refine_1
X : Type u_1
inst✝¹ : TopologicalSpace X
inst✝ : TopologicalSpace.PseudoMetrizableSpace X
this : PseudoMetricSpace X := TopologicalSpace.pseudoMetrizableSpacePseudoMetric X
F : Set X
hF : IsClosed[inst✝¹] F
⊢ ∀ (n : ℕ) (x : X), ((fun n ↦ thickenedIndicator ⋯ F) n) x ≤ 1

Tactic:
exact fun n x ↦ thickenedIndicator_le_one Nat.one_div_pos_of_nat F x

Goal state after:
Module: Mathlib.MeasureTheory.Function.UniformIntegrable

Goal state before:
pp: case h₂
α : Type u_1
β : Type u_2
ι : Type u_3
m : MeasurableSpace α
μ : Measure α
inst✝ : NormedAddCommGroup β
p : ℝ≥0∞
hp : 1 ≤ p
hp' : p ≠ ∞
f : ι → α → β
hf : ∀ (i : ι), StronglyMeasurable (f i)
h : ∀ (ε : ℝ), 0 < ε → ∃ C, 0 < C ∧ ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal ε
hpzero : p ≠ 0
hμ : ¬μ univ = 0
ε : ℝ
hε : 0 < ε
C : ℝ≥0
hCpos : 0 < C
hC : ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal (ε / 2)
i : ι
s : Set α
hs : MeasurableSet s
hμs : μ s ≤ ENNReal.ofReal ((ε / (2 * ↑C)) ^ p.toReal)
hμs' : ¬μ s = 0
⊢ μ s ^ p.toReal⁻¹ ≤ ENNReal.ofReal (ε / (2 * ↑C))

Tactic:
ENNReal.rpow_inv_le_iff (ENNReal.toReal_pos hpzero hp'),

Goal state after:
case h₂
α : Type u_1
β : Type u_2
ι : Type u_3
m : MeasurableSpace α
μ : Measure α
inst✝ : NormedAddCommGroup β
p : ℝ≥0∞
hp : 1 ≤ p
hp' : p ≠ ∞
f : ι → α → β
hf : ∀ (i : ι), StronglyMeasurable (f i)
h : ∀ (ε : ℝ), 0 < ε → ∃ C, 0 < C ∧ ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal ε
hpzero : p ≠ 0
hμ : ¬μ univ = 0
ε : ℝ
hε : 0 < ε
C : ℝ≥0
hCpos : 0 < C
hC : ∀ (i : ι), eLpNorm ({x | C ≤ ‖f i x‖₊}.indicator (f i)) p μ ≤ ENNReal.ofReal (ε / 2)
i : ι
s : Set α
hs : MeasurableSet s
hμs : μ s ≤ ENNReal.ofReal ((ε / (2 * ↑C)) ^ p.toReal)
hμs' : ¬μ s = 0
⊢ μ s ≤ ENNReal.ofReal (ε / (2 * ↑C)) ^ p.toReal
Module: Mathlib.MeasureTheory.Measure.FiniteMeasure

Goal state before:
pp: Ω : Type u_1
Ω' : Type u_2
inst✝⁵ : MeasurableSpace Ω
inst✝⁴ : MeasurableSpace Ω'
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
inst✝¹ : TopologicalSpace Ω'
inst✝ : BorelSpace Ω'
ι : Type u_3
L : Filter ι
νs : ι → FiniteMeasure Ω
ν : FiniteMeasure Ω
lim : Tendsto νs L (𝓝 ν)
f : Ω → Ω'
f_cont : Continuous[inst✝³, inst✝¹] f
⊢ Tendsto (fun i ↦ (νs i).map f) L (𝓝 (ν.map f))

Tactic:
rw [FiniteMeasure.tendsto_iff_forall_lintegral_tendsto] at lim ⊢

Goal state after:
Ω : Type u_1
Ω' : Type u_2
inst✝⁵ : MeasurableSpace Ω
inst✝⁴ : MeasurableSpace Ω'
inst✝³ : TopologicalSpace Ω
inst✝² : OpensMeasurableSpace Ω
inst✝¹ : TopologicalSpace Ω'
inst✝ : BorelSpace Ω'
ι : Type u_3
L : Filter ι
νs : ι → FiniteMeasure Ω
ν : FiniteMeasure Ω
lim : ∀ (f : Ω →ᵇ ℝ≥0), Tendsto (fun i ↦ ∫⁻ (x : Ω), ↑(f x) ∂↑(νs i)) L (𝓝 (∫⁻ (x : Ω), ↑(f x) ∂↑ν))
f : Ω → Ω'
f_cont : Continuous[inst✝³, inst✝¹] f
⊢ ∀ (f_1 : Ω' →ᵇ ℝ≥0),
    Tendsto (fun i ↦ ∫⁻ (x : Ω'), ↑(f_1 x) ∂↑((νs i).map f)) L (𝓝 (∫⁻ (x : Ω'), ↑(f_1 x) ∂↑(ν.map f)))
Module: Mathlib.Probability.Independence.Kernel.IndepFun

Goal state before:
pp: α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : ι → Type u_8
mβ : (i : ι) → MeasurableSpace (β i)
f g : (i : ι) → Ω → β i
hf :
  ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},
    (∀ i ∈ S, MeasurableSet (sets i)) → ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, f i ⁻¹' sets i) = ∏ i ∈ S, (κ a) (f i ⁻¹' sets i)
h : ∀ (i : ι), ∀ᵐ (a : α) ∂μ, f i =ᵐ[κ a] g i
⊢ ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},
    (∀ i ∈ S, MeasurableSet (sets i)) → ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, g i ⁻¹' sets i) = ∏ i ∈ S, (κ a) (g i ⁻¹' sets i)

Tactic:
intro S sets hmeas

Goal state after:
α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : ι → Type u_8
mβ : (i : ι) → MeasurableSpace (β i)
f g : (i : ι) → Ω → β i
hf :
  ∀ (S : Finset ι) {sets : (i : ι) → Set (β i)},
    (∀ i ∈ S, MeasurableSet (sets i)) → ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, f i ⁻¹' sets i) = ∏ i ∈ S, (κ a) (f i ⁻¹' sets i)
h : ∀ (i : ι), ∀ᵐ (a : α) ∂μ, f i =ᵐ[κ a] g i
S : Finset ι
sets : (i : ι) → Set (β i)
hmeas : ∀ i ∈ S, MeasurableSet (sets i)
⊢ ∀ᵐ (a : α) ∂μ, (κ a) (⋂ i ∈ S, g i ⁻¹' sets i) = ∏ i ∈ S, (κ a) (g i ⁻¹' sets i)
Module: Mathlib.Probability.Independence.Basic

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
_mΩ : MeasurableSpace Ω
μ : Measure Ω
f : ι → Set Ω
hf : ∀ (i : ι), MeasurableSet (f i)
⊢ iIndepSet f μ ↔ ∀ (s : Finset ι), μ (⋂ i ∈ s, f i) = ∏ i ∈ s, μ (f i)

Tactic:
simp_rw [iIndepSet, Kernel.iIndepSet_iff_meas_biInter hf, ae_dirac_eq, Filter.eventually_pure,
    Kernel.const_apply]

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

Goal state before:
pp: case a
ι : Type u_6
Ω : Type u_7
α : Type u_8
β : Type u_9
mΩ : MeasurableSpace Ω
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure Ω
X : ι → Ω → α
Y : ι → Ω → β
t : ι → Set β
inst✝ : Finite ι
hY : ∀ (i : ι), Measurable (Y i)
hindep : iIndepFun (fun i ω ↦ (X i ω, Y i ω)) μ
hy : ∀ (i : ι), μ (Y i ⁻¹' t i) ≠ 0
ht : ∀ (i : ι), MeasurableSet (t i)
s : Finset ι
f : ι → Set Ω
hf : ∀ i ∈ s, MeasurableSet (f i)
i : ι
hi : i ∈ s
⊢ μ[f i | ⋂ i, Y i ⁻¹' t i] = μ[f i | Y i ⁻¹' t i]

Tactic:
simpa using cond_iInter hY hindep (fun j hj ↦ hf _ <| Finset.mem_singleton.1 hj ▸ hi)
    (fun i _ ↦ hy _) ht

Goal state after:
Module: Mathlib.Probability.Independence.Kernel.IndepFun

Goal state before:
pp: case inr
α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : ι → Type u_8
m : (i : ι) → MeasurableSpace (β i)
f : (i : ι) → Ω → β i
S T : Finset ι
hST : Disjoint S T
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), Measurable (f i)
hμ : μ ≠ 0
η : Kernel α Ω
η_eq : ⇑κ =ᵐ[μ] ⇑η
hη : IsMarkovKernel η
πSβ : Set (Set ((i : ↥S) → β ↑i)) := univ.pi '' univ.pi fun i ↦ {s | MeasurableSet s}
πS : Set (Set Ω) := {s | ∃ t ∈ πSβ, (fun a i ↦ f (↑i) a) ⁻¹' t = s}
hπS_pi : IsPiSystem πS
hπS_gen : MeasurableSpace.comap (fun a i ↦ f (↑i) a) MeasurableSpace.pi = generateFrom πS
πTβ : Set (Set ((i : ↥T) → β ↑i)) := univ.pi '' univ.pi fun i ↦ {s | MeasurableSet s}
πT : Set (Set Ω) := {s | ∃ t ∈ πTβ, (fun a i ↦ f (↑i) a) ⁻¹' t = s}
hπT_pi : IsPiSystem πT
hπT_gen : MeasurableSpace.comap (fun a i ↦ f (↑i) a) MeasurableSpace.pi = generateFrom πT
⊢ IndepFun (fun a i ↦ f (↑i) a) (fun a i ↦ f (↑i) a) η μ

Tactic:
refine IndepSets.indep (Measurable.comap_le (measurable_pi_iff.mpr fun i => hf_meas i))
    (Measurable.comap_le (measurable_pi_iff.mpr fun i => hf_meas i)) hπS_pi hπT_pi hπS_gen hπT_gen
    ?_

Goal state after:
case inr
α : Type u_1
Ω : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mΩ : MeasurableSpace Ω
κ : Kernel α Ω
μ : Measure α
β : ι → Type u_8
m : (i : ι) → MeasurableSpace (β i)
f : (i : ι) → Ω → β i
S T : Finset ι
hST : Disjoint S T
hf_Indep : iIndepFun f κ μ
hf_meas : ∀ (i : ι), Measurable (f i)
hμ : μ ≠ 0
η : Kernel α Ω
η_eq : ⇑κ =ᵐ[μ] ⇑η
hη : IsMarkovKernel η
πSβ : Set (Set ((i : ↥S) → β ↑i)) := univ.pi '' univ.pi fun i ↦ {s | MeasurableSet s}
πS : Set (Set Ω) := {s | ∃ t ∈ πSβ, (fun a i ↦ f (↑i) a) ⁻¹' t = s}
hπS_pi : IsPiSystem πS
hπS_gen : MeasurableSpace.comap (fun a i ↦ f (↑i) a) MeasurableSpace.pi = generateFrom πS
πTβ : Set (Set ((i : ↥T) → β ↑i)) := univ.pi '' univ.pi fun i ↦ {s | MeasurableSet s}
πT : Set (Set Ω) := {s | ∃ t ∈ πTβ, (fun a i ↦ f (↑i) a) ⁻¹' t = s}
hπT_pi : IsPiSystem πT
hπT_gen : MeasurableSpace.comap (fun a i ↦ f (↑i) a) MeasurableSpace.pi = generateFrom πT
⊢ IndepSets πS πT η μ
Module: Mathlib.MeasureTheory.Measure.Portmanteau

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : SecondCountableTopology Ω
inst✝¹ : OpensMeasurableSpace Ω
S : Set (Set Ω)
hS : IsPiSystem S
μ : ι → ProbabilityMeasure Ω
ν : ProbabilityMeasure Ω
l : Filter ι
inst✝ : l.IsCountablyGenerated
hmeas : ∀ s ∈ S, MeasurableSet s
h : ∀ (u : Set Ω), IsOpen[inst✝³] u → ∀ x ∈ u, ∃ s ∈ S, s ∈ 𝓝 x ∧ s ⊆ u
h' : ∀ s ∈ S, Tendsto (fun i ↦ (μ i) s) l (𝓝 (ν s))
⊢ Tendsto μ l (𝓝 ν)

Tactic:
rcases l.eq_or_neBot with rfl | hl

Goal state after:
case inl
Ω : Type u_1
ι : Type u_2
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : SecondCountableTopology Ω
inst✝¹ : OpensMeasurableSpace Ω
S : Set (Set Ω)
hS : IsPiSystem S
μ : ι → ProbabilityMeasure Ω
ν : ProbabilityMeasure Ω
hmeas : ∀ s ∈ S, MeasurableSet s
h : ∀ (u : Set Ω), IsOpen[inst✝³] u → ∀ x ∈ u, ∃ s ∈ S, s ∈ 𝓝 x ∧ s ⊆ u
inst✝ : ⊥.IsCountablyGenerated
h' : ∀ s ∈ S, Tendsto (fun i ↦ (μ i) s) ⊥ (𝓝 (ν s))
⊢ Tendsto μ ⊥ (𝓝 ν)

case inr
Ω : Type u_1
ι : Type u_2
inst✝⁴ : MeasurableSpace Ω
inst✝³ : TopologicalSpace Ω
inst✝² : SecondCountableTopology Ω
inst✝¹ : OpensMeasurableSpace Ω
S : Set (Set Ω)
hS : IsPiSystem S
μ : ι → ProbabilityMeasure Ω
ν : ProbabilityMeasure Ω
l : Filter ι
inst✝ : l.IsCountablyGenerated
hmeas : ∀ s ∈ S, MeasurableSet s
h : ∀ (u : Set Ω), IsOpen[inst✝³] u → ∀ x ∈ u, ∃ s ∈ S, s ∈ 𝓝 x ∧ s ⊆ u
h' : ∀ s ∈ S, Tendsto (fun i ↦ (μ i) s) l (𝓝 (ν s))
hl : l.NeBot
⊢ Tendsto μ l (𝓝 ν)
Module: Mathlib.Probability.Moments.Variance

Goal state before:
pp: case pos
Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
inst✝ : IsProbabilityMeasure μ
X : Ω → ℝ
hm : AEStronglyMeasurable X μ
hX : ¬MemLp X 2 μ
hint : Integrable X μ
h : Integrable (fun a ↦ (X a - ∫ (x : Ω), X x ∂μ) ^ 2) μ
A : MemLp (X - fun ω ↦ ∫ (x : Ω), X x ∂μ) 2 μ
⊢ False

Tactic:
have B : MemLp (fun _ : Ω => μ[X]) 2 μ := memLp_const _

Goal state after:
case pos
Ω : Type u_1
mΩ : MeasurableSpace Ω
μ : Measure Ω
inst✝ : IsProbabilityMeasure μ
X : Ω → ℝ
hm : AEStronglyMeasurable X μ
hX : ¬MemLp X 2 μ
hint : Integrable X μ
h : Integrable (fun a ↦ (X a - ∫ (x : Ω), X x ∂μ) ^ 2) μ
A : MemLp (X - fun ω ↦ ∫ (x : Ω), X x ∂μ) 2 μ
B : MemLp (fun x ↦ ∫ (x : Ω), X x ∂μ) 2 μ
⊢ False
Module: Mathlib.MeasureTheory.Function.Floor

Goal state before:
pp: R : Type u_2
inst✝⁷ : Ring R
inst✝⁶ : LinearOrder R
inst✝⁵ : FloorRing R
inst✝⁴ : TopologicalSpace R
inst✝³ : OrderTopology R
inst✝² : MeasurableSpace R
inst✝¹ : IsStrictOrderedRing R
inst✝ : BorelSpace R
s : Set R
hs : MeasurableSet s
⊢ MeasurableSet (Int.fract ⁻¹' s)

Tactic:
rw [Int.preimage_fract]

Goal state after:
R : Type u_2
inst✝⁷ : Ring R
inst✝⁶ : LinearOrder R
inst✝⁵ : FloorRing R
inst✝⁴ : TopologicalSpace R
inst✝³ : OrderTopology R
inst✝² : MeasurableSpace R
inst✝¹ : IsStrictOrderedRing R
inst✝ : BorelSpace R
s : Set R
hs : MeasurableSet s
⊢ MeasurableSet (⋃ m, (fun x ↦ x - ↑m) ⁻¹' (s ∩ Ico 0 1))
Module: Mathlib.Probability.Process.Filtration

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i j : ι
hij : i ≤ j
m' : MeasurableSpace Ω
hm' : m' ∈ (fun f ↦ ↑f i) '' s
⊢ m' ≤ (fun i ↦ sSup ((fun f ↦ ↑f i) '' s)) j

Tactic:
Set.mem_image

Goal state after:
Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i j : ι
hij : i ≤ j
m' : MeasurableSpace Ω
hm' : ∃ x ∈ s, ↑x i = m'
⊢ m' ≤ (fun i ↦ sSup ((fun f ↦ ↑f i) '' s)) j
Module: Mathlib.Probability.Process.Filtration

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i : ι
m' : MeasurableSpace Ω
hm' : m' ∈ (fun f ↦ ↑f i) '' s
⊢ m' ≤ m

Tactic:
Set.mem_image

Goal state after:
Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : Preorder ι
s : Set (Filtration ι m)
i : ι
m' : MeasurableSpace Ω
hm' : ∃ x ∈ s, ↑x i = m'
⊢ m' ≤ m
Module: Mathlib.Probability.Process.Filtration

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m : MeasurableSpace Ω
inst✝ : PartialOrder ι
𝓕 : Filtration ι m
this : TopologicalSpace ι := Preorder.topology ι
i : ι
⊢ (if (𝓝[>] i).NeBot then ⨅ j, ⨅ (_ : j > i), ↑𝓕 j else ↑𝓕 i) ≤ m

Tactic:
by
      split_ifs with hi
      · obtain ⟨j, hj⟩ := (frequently_gt_nhds i).exists
        exact iInf₂_le_of_le j hj (𝓕.le j)
      · exact 𝓕.le i

Goal state after:
Module: Mathlib.MeasureTheory.Function.LpSpace.DomAct.Basic

Goal state before:
pp: M : Type u_1
α : Type u_3
E : Type u_4
inst✝⁴ : MeasurableSpace α
inst✝³ : NormedAddCommGroup E
μ : Measure α
p : ℝ≥0∞
inst✝² : SMul M α
inst✝¹ : SMulInvariantMeasure M α μ
inst✝ : MeasurableConstSMul M α
c : Mᵈᵐᵃ
⊢ ∀ (f g : ↥(Lp E p μ)), c • (f + g) = c • f + c • g

Tactic:
rintro ⟨⟨⟩, _⟩ ⟨⟨⟩, _⟩; rfl

Goal state after:
Module: Mathlib.MeasureTheory.Function.LpSpace.DomAct.Basic

Goal state before:
pp: M : Type u_1
α : Type u_3
E : Type u_4
inst✝⁴ : MeasurableSpace α
inst✝³ : NormedAddCommGroup E
μ : Measure α
p : ℝ≥0∞
inst✝² : SMul M α
inst✝¹ : SMulInvariantMeasure M α μ
inst✝ : MeasurableConstSMul M α
c : Mᵈᵐᵃ
⊢ ∀ (f g : ↥(Lp E p μ)), c • (f - g) = c • f - c • g

Tactic:
rintro ⟨⟨⟩, _⟩ ⟨⟨⟩, _⟩; rfl

Goal state after: