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

Goal state before:
pp: case refine_1
α : Type u_1
β : Type u_2
inst✝⁶ : MeasurableSpace α
inst✝⁵ : TopologicalSpace β
inst✝⁴ : CompleteLattice β
inst✝³ : OrderClosedTopology β
inst✝² : Zero β
inst✝¹ : MeasurableSpace β
inst✝ : OpensMeasurableSpace β
i : ℕ → β
f : α → β
a : α
hf : Measurable f
h_zero : 0 = ⊥
n : ℕ
⊢ ((Finset.range n).sup fun k ↦ if i k ≤ f a then i k else ⊥) ≤ ⨆ k, ⨆ (_ : i k ≤ f a), i k

Tactic:
refine Finset.sup_le fun k _ => ?_

Goal state after:
case refine_1
α : Type u_1
β : Type u_2
inst✝⁶ : MeasurableSpace α
inst✝⁵ : TopologicalSpace β
inst✝⁴ : CompleteLattice β
inst✝³ : OrderClosedTopology β
inst✝² : Zero β
inst✝¹ : MeasurableSpace β
inst✝ : OpensMeasurableSpace β
i : ℕ → β
f : α → β
a : α
hf : Measurable f
h_zero : 0 = ⊥
n k : ℕ
x✝ : k ∈ Finset.range n
⊢ (if i k ≤ f a then i k else ⊥) ≤ ⨆ k, ⨆ (_ : i k ≤ f a), i k
Module: Mathlib.MeasureTheory.Constructions.BorelSpace.Order

Goal state before:
pp: case neg
α : Type u_1
δ : Type u_4
inst✝⁵ : TopologicalSpace α
mα : MeasurableSpace α
inst✝⁴ : BorelSpace α
mδ : MeasurableSpace δ
inst✝³ : LinearOrder α
inst✝² : OrderTopology α
inst✝¹ : SecondCountableTopology α
ι : Sort u_5
inst✝ : Countable ι
f : ι → δ → α
g g' : δ → α
hf : ∀ (i : ι), Measurable (f i)
s : Set δ
hs : MeasurableSet s
hg : ∀ b ∈ s, IsLUB {a | ∃ i, f i b = a} (g b)
hg' : EqOn g g' sᶜ
g'_meas : Measurable g'
i : ι
this : Nonempty ι
f' : ι → δ → α := fun i ↦ s.piecewise (f i) g'
b : δ
hb : b ∉ s
A : ∀ (i : ι), f' i b = g' b
⊢ IsLUB {a | ∃ i, f' i b = a} (g b)

Tactic:
simp [A, hg' hb, isLUB_singleton]

Goal state after:
Module: Mathlib.MeasureTheory.Constructions.BorelSpace.Order

Goal state before:
pp: α : Type u_1
δ : Type u_4
inst✝⁴ : TopologicalSpace α
mα : MeasurableSpace α
inst✝³ : BorelSpace α
mδ : MeasurableSpace δ
inst✝² : ConditionallyCompleteLinearOrder α
inst✝¹ : OrderTopology α
inst✝ : SecondCountableTopology α
ι : Type u_5
f : ι → δ → α
s : Set ι
hs : s.Countable
hf : ∀ i ∈ s, Measurable (f i)
this : Countable ↑s
⊢ Measurable fun x ↦ sSup (range fun x_1 ↦ f (↑x_1) x)

Tactic:
exact .iSup fun i ↦ hf i i.2

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

Goal state before:
pp: α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : AddZeroClass γ
motive : (α →ₛ γ) → Prop
const :
  ∀ (c : γ) {s : Set α} (hs : MeasurableSet s), motive (piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0))
add : ∀ ⦃f g : α →ₛ γ⦄, Disjoint (support ⇑f) (support ⇑g) → motive f → motive g → motive (f + g)
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {0} = ↑s → motive f
f : α →ₛ γ
h : range ⇑f \ {0} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx 0 f
⊢ ⇑0 '' ⇑f ⁻¹' {x} \ {0} ∪ insert x ↑s \ {x} = ↑s

Tactic:
insert_sdiff_self_of_notMem,

Goal state after:
α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : AddZeroClass γ
motive : (α →ₛ γ) → Prop
const :
  ∀ (c : γ) {s : Set α} (hs : MeasurableSet s), motive (piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0))
add : ∀ ⦃f g : α →ₛ γ⦄, Disjoint (support ⇑f) (support ⇑g) → motive f → motive g → motive (f + g)
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {0} = ↑s → motive f
f : α →ₛ γ
h : range ⇑f \ {0} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx 0 f
⊢ ⇑0 '' ⇑f ⁻¹' {x} \ {0} ∪ ↑s = ↑s

α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : AddZeroClass γ
motive : (α →ₛ γ) → Prop
const :
  ∀ (c : γ) {s : Set α} (hs : MeasurableSet s), motive (piecewise s hs (SimpleFunc.const α c) (SimpleFunc.const α 0))
add : ∀ ⦃f g : α →ₛ γ⦄, Disjoint (support ⇑f) (support ⇑g) → motive f → motive g → motive (f + g)
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {0} = ↑s → motive f
f : α →ₛ γ
h : range ⇑f \ {0} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx 0 f
⊢ x ∉ ↑s
Module: Mathlib.MeasureTheory.Constructions.BorelSpace.Order

Goal state before:
pp: α : Type u_1
δ : Type u_4
inst✝⁴ : TopologicalSpace α
mα : MeasurableSpace α
inst✝³ : BorelSpace α
mδ : MeasurableSpace δ
inst✝² : ConditionallyCompleteLinearOrder α
inst✝¹ : OrderTopology α
inst✝ : SecondCountableTopology α
ι : Type u_5
ι' : Type u_6
f : ι → δ → α
v : Filter ι
hf : ∀ (i : ι), Measurable (f i)
p : ι' → Prop
s : ι' → Set ι
hv : v.HasCountableBasis p s
hs : ∀ (j : ι'), (s j).Countable
this✝ : Countable (Subtype p)
hp : Nonempty (Subtype p)
H : ¬∃ j, s ↑j = ∅
this : ∀ (i : ι'), Countable ↑(s i)
m : Subtype p → Set δ := fun j ↦ {x | BddBelow (range fun i ↦ f (↑i) x)}
m_meas : ∀ (j : Subtype p), MeasurableSet (m j)
mc_meas : MeasurableSet {x | ∀ (j : Subtype p), x ∉ m j}
j : Subtype p
reparam : δ → Subtype p → Subtype p := fun x ↦ liminfReparam (fun i ↦ f i x) s p
F0 : Subtype p → δ → α := fun j x ↦ ⨅ i, f (↑i) x
F0_meas : ∀ (j : Subtype p), Measurable (F0 j)
F1 : δ → α := fun x ↦ F0 (reparam x j) x
hF1 : F1 = fun x ↦ F0 (reparam x j) x
g : ℕ → Subtype p := Classical.choose ⋯
Z : ∀ (x : δ), ∃ n, x ∈ m (g n) ∨ ∀ (k : Subtype p), x ∉ m k
x : δ
A : reparam x j = if x ∈ m j then j else g (Nat.find ⋯)
hjx : x ∉ m j
⊢ (if x ∈ m j then j else g (Nat.find ⋯)) = g (Nat.find ⋯)

Tactic:
if_neg hjx

Goal state after:
α : Type u_1
δ : Type u_4
inst✝⁴ : TopologicalSpace α
mα : MeasurableSpace α
inst✝³ : BorelSpace α
mδ : MeasurableSpace δ
inst✝² : ConditionallyCompleteLinearOrder α
inst✝¹ : OrderTopology α
inst✝ : SecondCountableTopology α
ι : Type u_5
ι' : Type u_6
f : ι → δ → α
v : Filter ι
hf : ∀ (i : ι), Measurable (f i)
p : ι' → Prop
s : ι' → Set ι
hv : v.HasCountableBasis p s
hs : ∀ (j : ι'), (s j).Countable
this✝ : Countable (Subtype p)
hp : Nonempty (Subtype p)
H : ¬∃ j, s ↑j = ∅
this : ∀ (i : ι'), Countable ↑(s i)
m : Subtype p → Set δ := fun j ↦ {x | BddBelow (range fun i ↦ f (↑i) x)}
m_meas : ∀ (j : Subtype p), MeasurableSet (m j)
mc_meas : MeasurableSet {x | ∀ (j : Subtype p), x ∉ m j}
j : Subtype p
reparam : δ → Subtype p → Subtype p := fun x ↦ liminfReparam (fun i ↦ f i x) s p
F0 : Subtype p → δ → α := fun j x ↦ ⨅ i, f (↑i) x
F0_meas : ∀ (j : Subtype p), Measurable (F0 j)
F1 : δ → α := fun x ↦ F0 (reparam x j) x
hF1 : F1 = fun x ↦ F0 (reparam x j) x
g : ℕ → Subtype p := Classical.choose ⋯
Z : ∀ (x : δ), ∃ n, x ∈ m (g n) ∨ ∀ (k : Subtype p), x ∉ m k
x : δ
A : reparam x j = if x ∈ m j then j else g (Nat.find ⋯)
hjx : x ∉ m j
⊢ g (Nat.find ⋯) = g (Nat.find ⋯)
Module: Mathlib.MeasureTheory.Function.SimpleFunc

Goal state before:
pp: α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : Nonempty γ
P : (α →ₛ γ) → Prop
const : ∀ (c : γ), P (SimpleFunc.const α c)
pcw : ∀ ⦃f g : α →ₛ γ⦄ {s : Set α} (hs : MeasurableSet s), P f → P g → P (piecewise s hs f g)
c : γ := Classical.ofNonempty
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {c} = ↑s → P f
f : α →ₛ γ
h : range ⇑f \ {c} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx (SimpleFunc.const α c) f
⊢ ⇑(SimpleFunc.const α c) '' ⇑f ⁻¹' {x} \ {c} ∪ insert x ↑s \ {x} = ↑s

Tactic:
insert_sdiff_self_of_notMem,

Goal state after:
α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : Nonempty γ
P : (α →ₛ γ) → Prop
const : ∀ (c : γ), P (SimpleFunc.const α c)
pcw : ∀ ⦃f g : α →ₛ γ⦄ {s : Set α} (hs : MeasurableSet s), P f → P g → P (piecewise s hs f g)
c : γ := Classical.ofNonempty
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {c} = ↑s → P f
f : α →ₛ γ
h : range ⇑f \ {c} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx (SimpleFunc.const α c) f
⊢ ⇑(SimpleFunc.const α c) '' ⇑f ⁻¹' {x} \ {c} ∪ ↑s = ↑s

α : Type u_5
γ : Type u_6
inst✝¹ : MeasurableSpace α
inst✝ : Nonempty γ
P : (α →ₛ γ) → Prop
const : ∀ (c : γ), P (SimpleFunc.const α c)
pcw : ∀ ⦃f g : α →ₛ γ⦄ {s : Set α} (hs : MeasurableSet s), P f → P g → P (piecewise s hs f g)
c : γ := Classical.ofNonempty
x : γ
s : Finset γ
hxs : x ∉ s
ih : ∀ (f : α →ₛ γ), range ⇑f \ {c} = ↑s → P f
f : α →ₛ γ
h : range ⇑f \ {c} = ↑(insert x s)
mx : MeasurableSet (⇑f ⁻¹' {x})
g : α →ₛ γ := piecewise (⇑f ⁻¹' {x}) mx (SimpleFunc.const α c) f
⊢ x ∉ ↑s
Module: Mathlib.MeasureTheory.Function.StronglyMeasurable.AEStronglyMeasurable

Goal state before:
pp: case mpr
α : Type u_1
β : Type u_2
inst✝¹ : TopologicalSpace β
m₀ : MeasurableSpace α
μ : Measure α
f : α → β
inst✝ : Zero β
s : Set α
hs : MeasurableSet s
h : AEStronglyMeasurable f (μ.restrict s)
A : s.indicator f =ᵐ[μ.restrict s] s.indicator (AEStronglyMeasurable.mk f h)
⊢ s.indicator f =ᵐ[μ] s.indicator (AEStronglyMeasurable.mk f h)

Tactic:
have B : s.indicator f =ᵐ[μ.restrict sᶜ] s.indicator (h.mk f) :=
      (indicator_ae_eq_restrict_compl hs).trans (indicator_ae_eq_restrict_compl hs).symm

Goal state after:
case mpr
α : Type u_1
β : Type u_2
inst✝¹ : TopologicalSpace β
m₀ : MeasurableSpace α
μ : Measure α
f : α → β
inst✝ : Zero β
s : Set α
hs : MeasurableSet s
h : AEStronglyMeasurable f (μ.restrict s)
A : s.indicator f =ᵐ[μ.restrict s] s.indicator (AEStronglyMeasurable.mk f h)
B : s.indicator f =ᵐ[μ.restrict sᶜ] s.indicator (AEStronglyMeasurable.mk f h)
⊢ s.indicator f =ᵐ[μ] s.indicator (AEStronglyMeasurable.mk f h)
Module: Mathlib.MeasureTheory.Integral.Lebesgue.Add

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ : Measure α
f : ℕ → α → ℝ≥0∞
hf : ∀ (n : ℕ), Measurable (f n)
h_mono : Monotone f
c : ℝ≥0 → ℝ≥0∞ := ofNNReal
F : α → ℝ≥0∞ := fun a ↦ ⨆ n, f n a
s : α →ₛ ℝ≥0
hsf : ∀ (x : α), ↑(s x) ≤ ⨆ n, f n x
r : ℝ≥0
right✝ ha✝ : ↑r < 1
ha : r < 1
⊢ ↑r * (SimpleFunc.map ofNNReal s).lintegral μ ≤ ⨆ n, ∫⁻ (a : α), f n a ∂μ

Tactic:
let rs := s.map fun a => r * a

Goal state after:
α : Type u_1
m : MeasurableSpace α
μ : Measure α
f : ℕ → α → ℝ≥0∞
hf : ∀ (n : ℕ), Measurable (f n)
h_mono : Monotone f
c : ℝ≥0 → ℝ≥0∞ := ofNNReal
F : α → ℝ≥0∞ := fun a ↦ ⨆ n, f n a
s : α →ₛ ℝ≥0
hsf : ∀ (x : α), ↑(s x) ≤ ⨆ n, f n x
r : ℝ≥0
right✝ ha✝ : ↑r < 1
ha : r < 1
rs : α →ₛ ℝ≥0 := SimpleFunc.map (fun a ↦ r * a) s
⊢ ↑r * (SimpleFunc.map ofNNReal s).lintegral μ ≤ ⨆ n, ∫⁻ (a : α), f n a ∂μ
Module: Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic

Goal state before:

Tactic:
‖min 1 (c / ‖hf.approx n x‖) • hf.approx n x‖ =
          ‖min 1 (c / ‖hf.approx n x‖)‖ * ‖hf.approx n x‖ :=
        norm_smul _ _
      _ ≤ ‖(1 : ℝ)‖ * ‖hf.approx n x‖ := by
        gcongr
        rw [norm_one, Real.norm_of_nonneg]
        · exact min_le_left _ _
        · exact le_min zero_le_one (div_nonneg ((norm_nonneg _).trans hfx) (norm_nonneg _))
      _ = ‖hf.approx n x‖ := by rw [norm_one, one_mul]

Goal state after:
Module: Mathlib.MeasureTheory.Function.StronglyMeasurable.Basic

Goal state before:
pp: case refine_1
α : Type u_1
β : Type u_2
f : α → β
inst✝¹ : TopologicalSpace β
inst✝ : Zero β
m : MeasurableSpace α
μ : Measure α
hf_meas : StronglyMeasurable f
t : Set α
ht : MeasurableSet t
hft_zero : ∀ x ∈ tᶜ, f x = 0
htμ this : SigmaFinite (μ.restrict t)
S : ℕ → Set α := spanningSets (μ.restrict t)
hS_meas : ∀ (n : ℕ), MeasurableSet (S n)
f_approx : ℕ → α →ₛ β := hf_meas.approx
fs : ℕ → α →ₛ β := fun n ↦ (f_approx n).restrict (S n ∩ t)
h_fs_t_compl : ∀ (n : ℕ), ∀ x ∉ t, (fs n) x = 0
n : ℕ
y : β
hy : y ∈ ↑({y ∈ (fs n).range | y ≠ 0})
h_lt_top : (μ.restrict t) (spanningSets (μ.restrict t) n) < ∞
⊢ μ (S n ∩ t) < ∞

Tactic:
rwa [Measure.restrict_apply' ht] at h_lt_top

Goal state after:
Module: Mathlib.MeasureTheory.Integral.Lebesgue.Sub

Goal state before:
pp: α : Type u_1
β : Type u_2
inst✝¹ : MeasurableSpace α
inst✝ : Countable β
f : β → α → ℝ≥0∞
μ : Measure α
hμ : μ ≠ 0
hf : ∀ (b : β), Measurable (f b)
hf_int : ∀ (b : β), ∫⁻ (a : α), f b a ∂μ ≠ ∞
h_directed : Directed (fun x1 x2 ↦ x1 ≥ x2) f
val✝ : Encodable β
h✝ : Nonempty β
inhabited_h : Inhabited β
this : ∀ (a : α), ⨅ b, f b a = ⨅ n, f (Directed.sequence f h_directed n) a
⊢ ∫⁻ (a : α), ⨅ n, (f ∘ Directed.sequence f h_directed) n a ∂μ =
    ⨅ n, ∫⁻ (a : α), (f ∘ Directed.sequence f h_directed) n a ∂μ

Tactic:
lintegral_iInf ?_ h_directed.sequence_anti

Goal state after:
α : Type u_1
β : Type u_2
inst✝¹ : MeasurableSpace α
inst✝ : Countable β
f : β → α → ℝ≥0∞
μ : Measure α
hμ : μ ≠ 0
hf : ∀ (b : β), Measurable (f b)
hf_int : ∀ (b : β), ∫⁻ (a : α), f b a ∂μ ≠ ∞
h_directed : Directed (fun x1 x2 ↦ x1 ≥ x2) f
val✝ : Encodable β
h✝ : Nonempty β
inhabited_h : Inhabited β
this : ∀ (a : α), ⨅ b, f b a = ⨅ n, f (Directed.sequence f h_directed n) a
⊢ ⨅ n, ∫⁻ (a : α), (f ∘ Directed.sequence f h_directed) n a ∂μ =
    ⨅ n, ∫⁻ (a : α), (f ∘ Directed.sequence f h_directed) n a ∂μ

α : Type u_1
β : Type u_2
inst✝¹ : MeasurableSpace α
inst✝ : Countable β
f : β → α → ℝ≥0∞
μ : Measure α
hμ : μ ≠ 0
hf : ∀ (b : β), Measurable (f b)
hf_int : ∀ (b : β), ∫⁻ (a : α), f b a ∂μ ≠ ∞
h_directed : Directed (fun x1 x2 ↦ x1 ≥ x2) f
val✝ : Encodable β
h✝ : Nonempty β
inhabited_h : Inhabited β
this : ∀ (a : α), ⨅ b, f b a = ⨅ n, f (Directed.sequence f h_directed n) a
⊢ ∫⁻ (a : α), (f ∘ Directed.sequence f h_directed) 0 a ∂μ ≠ ∞

α : Type u_1
β : Type u_2
inst✝¹ : MeasurableSpace α
inst✝ : Countable β
f : β → α → ℝ≥0∞
μ : Measure α
hμ : μ ≠ 0
hf : ∀ (b : β), Measurable (f b)
hf_int : ∀ (b : β), ∫⁻ (a : α), f b a ∂μ ≠ ∞
h_directed : Directed (fun x1 x2 ↦ x1 ≥ x2) f
val✝ : Encodable β
h✝ : Nonempty β
inhabited_h : Inhabited β
this : ∀ (a : α), ⨅ b, f b a = ⨅ n, f (Directed.sequence f h_directed n) a
⊢ ∀ (n : ℕ), Measurable ((f ∘ Directed.sequence f h_directed) n)
Module: Mathlib.MeasureTheory.Integral.Lebesgue.DominatedConvergence

Goal state before:
pp: α : Type u_1
inst✝¹ : MeasurableSpace α
μ : Measure α
ι : Type u_2
l : Filter ι
inst✝ : l.IsCountablyGenerated
F : ι → α → ℝ≥0∞
f bound : α → ℝ≥0∞
hF_meas : ∀ᶠ (n : ι) in l, Measurable (F n)
h_bound : ∀ᶠ (n : ι) in l, ∀ᵐ (a : α) ∂μ, F n a ≤ bound a
h_fin : ∫⁻ (a : α), bound a ∂μ ≠ ∞
h_lim : ∀ᵐ (a : α) ∂μ, Tendsto (fun n ↦ F n a) l (𝓝 (f a))
⊢ Tendsto (fun n ↦ ∫⁻ (a : α), F n a ∂μ) l (𝓝 (∫⁻ (a : α), f a ∂μ))

Tactic:
refine tendsto_lintegral_filter_of_dominated_convergence' bound ?_ h_bound h_fin h_lim
  filter_upwards [hF_meas] using by fun_prop

Goal state after:
Module: Mathlib.Topology.Perfect

Goal state before:
pp: case mpr
α : Type u_1
inst✝¹ : TopologicalSpace α
C : Set α
inst✝ : T1Space α
h : Perfect (closure[inst✝¹] C)
x : α
xC : x ∈ C
H : ∃ᶠ (y : α) in 𝓝 x, y ≠ x ∧ y ∈ closure[inst✝¹] C
this : ∀ (y : α), y ≠ x ∧ y ∈ closure[inst✝¹] C → ∃ᶠ (z : α) in 𝓝 y, z ≠ x ∧ z ∈ C
⊢ ∃ᶠ (y : α) in 𝓝 x, y ≠ x ∧ y ∈ C

Tactic:
← frequently_frequently_nhds

Goal state after:
case mpr
α : Type u_1
inst✝¹ : TopologicalSpace α
C : Set α
inst✝ : T1Space α
h : Perfect (closure[inst✝¹] C)
x : α
xC : x ∈ C
H : ∃ᶠ (y : α) in 𝓝 x, y ≠ x ∧ y ∈ closure[inst✝¹] C
this : ∀ (y : α), y ≠ x ∧ y ∈ closure[inst✝¹] C → ∃ᶠ (z : α) in 𝓝 y, z ≠ x ∧ z ∈ C
⊢ ∃ᶠ (x' : α) in 𝓝 x, ∃ᶠ (x'' : α) in 𝓝 x', x'' ≠ x ∧ x'' ∈ C
Module: Mathlib.MeasureTheory.Integral.Lebesgue.DominatedConvergence

Goal state before:
pp: case succ
α : Type u_2
mα : MeasurableSpace α
f : ℕ → α → ℝ≥0∞
F : α → ℝ≥0∞
μ : Measure α
hF_meas : AEMeasurable F μ
hf_tendsto : Tendsto (fun i ↦ ∫⁻ (a : α), f i a ∂μ) atTop (𝓝 (∫⁻ (a : α), F a ∂μ))
hf_mono : ∀ᵐ (a : α) ∂μ, Monotone fun i ↦ f i a
h_bound : ∀ᵐ (a : α) ∂μ, ∀ (i : ℕ), f i a ≤ F a
h_int_finite : ∫⁻ (a : α), F a ∂μ ≠ ∞
g : ℕ → α → ℝ≥0∞
gmeas : ∀ (n : ℕ), Measurable (g n)
gf : ∀ (n : ℕ), g n ≤ f n
hg : ∀ (n : ℕ), ∫⁻ (a : α), f n a ∂μ = ∫⁻ (a : α), g n a ∂μ
g' : ℕ → α → ℝ≥0∞ := fun t ↦ Nat.rec (motive := fun x ↦ α → ℝ≥0∞) (g 0) (fun n I x ↦ max (g (n + 1) x) (I x)) t
n : ℕ
ih : Measurable (g' n)
⊢ Measurable (g' (n + 1))

Tactic:
exact Measurable.max (gmeas (n + 1)) ih

Goal state after:
Module: Mathlib.Topology.Perfect

Goal state before:
pp: case refine_2
α : Type u_1
inst✝¹ : TopologicalSpace α
C : Set α
inst✝ : SecondCountableTopology α
hclosed : IsClosed[inst✝¹] C
b : Set (Set α)
bct : b.Countable
left✝ : ∅ ∉ b
bbasis : IsTopologicalBasis b
v : Set (Set α) := {U | U ∈ b ∧ (U ∩ C).Countable}
V : Set α := ⋃ U ∈ v, U
D : Set α := C \ V
Vct : (V ∩ C).Countable
⊢ ∀ x ∈ D, ∀ U ∈ 𝓝 x, ∃ y ∈ U ∩ D, y ≠ x

Tactic:
intro x xD E xE

Goal state after:
case refine_2
α : Type u_1
inst✝¹ : TopologicalSpace α
C : Set α
inst✝ : SecondCountableTopology α
hclosed : IsClosed[inst✝¹] C
b : Set (Set α)
bct : b.Countable
left✝ : ∅ ∉ b
bbasis : IsTopologicalBasis b
v : Set (Set α) := {U | U ∈ b ∧ (U ∩ C).Countable}
V : Set α := ⋃ U ∈ v, U
D : Set α := C \ V
Vct : (V ∩ C).Countable
x : α
xD : x ∈ D
E : Set α
xE : E ∈ 𝓝 x
⊢ ∃ y ∈ E ∩ D, y ≠ x
Module: Mathlib.Analysis.Normed.Group.FunctionSeries

Goal state before:
pp: β : Type u_2
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : CompleteSpace F
ι : Type u_4
f : ι → β → F
u : ι → ℝ
hu : Summable u
s : Set β
ε : ℝ
εpos : ε > 0
t : Finset ι
ht : ∀ (b : Finset ι), t ⊆ b → ∑' (a : { x // x ∉ b }), u ↑a < ε
N : Set ι
hN : N ∈ cofinite
HN : ∀ y ∈ N, ∀ x ∈ s, ‖f y x‖ ≤ u y
n : Finset ι
hn : Finite.toFinset hN ∪ t ⊆ n
x : β
hx : x ∈ s
⊢ Summable ((fun n ↦ ‖f n x‖) ∘ Subtype.val)

Tactic:
apply Summable.of_nonneg_of_le (fun _ ↦ norm_nonneg _) _ (hu.subtype _)

Goal state after:
β : Type u_2
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : CompleteSpace F
ι : Type u_4
f : ι → β → F
u : ι → ℝ
hu : Summable u
s : Set β
ε : ℝ
εpos : ε > 0
t : Finset ι
ht : ∀ (b : Finset ι), t ⊆ b → ∑' (a : { x // x ∉ b }), u ↑a < ε
N : Set ι
hN : N ∈ cofinite
HN : ∀ y ∈ N, ∀ x ∈ s, ‖f y x‖ ≤ u y
n : Finset ι
hn : Finite.toFinset hN ∪ t ⊆ n
x : β
hx : x ∈ s
⊢ ∀ (b : { x // x ∈ (↑(Finite.toFinset hN))ᶜ }), ‖f (↑b) x‖ ≤ (u ∘ Subtype.val) b
Module: Mathlib.Topology.MetricSpace.Gluing

Goal state before:
pp: case mp
X : Type u
Y : Type v
Z : Type w
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
Φ : Z → X
Ψ : Z → Y
ε : ℝ
hε : 0 < ε
s : Set ((X ⊕ Y) × (X ⊕ Y))
δX : ℝ
δX0 : δX > 0
hX : ∀ ⦃a b : X⦄, dist a b < δX → Prod.map Sum.inl Sum.inl (a, b) ∈ s
δY : ℝ
δY0 : δY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < δY → Prod.map Sum.inr Sum.inr (a, b) ∈ s
⊢ ∀ (a b : X ⊕ Y), glueDist Φ Ψ ε a b < min (min δX δY) ε → (a, b) ∈ s

Tactic:
rintro (a | a) (b | b) h

Goal state after:
case mp.inl.inl
X : Type u
Y : Type v
Z : Type w
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
Φ : Z → X
Ψ : Z → Y
ε : ℝ
hε : 0 < ε
s : Set ((X ⊕ Y) × (X ⊕ Y))
δX : ℝ
δX0 : δX > 0
hX : ∀ ⦃a b : X⦄, dist a b < δX → Prod.map Sum.inl Sum.inl (a, b) ∈ s
δY : ℝ
δY0 : δY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < δY → Prod.map Sum.inr Sum.inr (a, b) ∈ s
a b : X
h : glueDist Φ Ψ ε (Sum.inl a) (Sum.inl b) < min (min δX δY) ε
⊢ (Sum.inl a, Sum.inl b) ∈ s

case mp.inl.inr
X : Type u
Y : Type v
Z : Type w
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
Φ : Z → X
Ψ : Z → Y
ε : ℝ
hε : 0 < ε
s : Set ((X ⊕ Y) × (X ⊕ Y))
δX : ℝ
δX0 : δX > 0
hX : ∀ ⦃a b : X⦄, dist a b < δX → Prod.map Sum.inl Sum.inl (a, b) ∈ s
δY : ℝ
δY0 : δY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < δY → Prod.map Sum.inr Sum.inr (a, b) ∈ s
a : X
b : Y
h : glueDist Φ Ψ ε (Sum.inl a) (Sum.inr b) < min (min δX δY) ε
⊢ (Sum.inl a, Sum.inr b) ∈ s

case mp.inr.inl
X : Type u
Y : Type v
Z : Type w
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
Φ : Z → X
Ψ : Z → Y
ε : ℝ
hε : 0 < ε
s : Set ((X ⊕ Y) × (X ⊕ Y))
δX : ℝ
δX0 : δX > 0
hX : ∀ ⦃a b : X⦄, dist a b < δX → Prod.map Sum.inl Sum.inl (a, b) ∈ s
δY : ℝ
δY0 : δY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < δY → Prod.map Sum.inr Sum.inr (a, b) ∈ s
a : Y
b : X
h : glueDist Φ Ψ ε (Sum.inr a) (Sum.inl b) < min (min δX δY) ε
⊢ (Sum.inr a, Sum.inl b) ∈ s

case mp.inr.inr
X : Type u
Y : Type v
Z : Type w
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
Φ : Z → X
Ψ : Z → Y
ε : ℝ
hε : 0 < ε
s : Set ((X ⊕ Y) × (X ⊕ Y))
δX : ℝ
δX0 : δX > 0
hX : ∀ ⦃a b : X⦄, dist a b < δX → Prod.map Sum.inl Sum.inl (a, b) ∈ s
δY : ℝ
δY0 : δY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < δY → Prod.map Sum.inr Sum.inr (a, b) ∈ s
a b : Y
h : glueDist Φ Ψ ε (Sum.inr a) (Sum.inr b) < min (min δX δY) ε
⊢ (Sum.inr a, Sum.inr b) ∈ s
Module: Mathlib.Topology.MetricSpace.Gluing

Goal state before:
pp: case mp
X : Type u
Y : Type v
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
s : Set ((X ⊕ Y) × (X ⊕ Y))
hsX : s ∈ Filter.map (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) (𝓤 X)
hsY : s ∈ Filter.map (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) (𝓤 Y)
εX : ℝ
εX0 : εX > 0
hX : ∀ ⦃a b : X⦄, dist a b < εX → (a, b) ∈ (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) ⁻¹' s
εY : ℝ
εY0 : εY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < εY → (a, b) ∈ (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) ⁻¹' s
⊢ ∀ (a b : X ⊕ Y), Sum.dist a b < min (min εX εY) 1 → (a, b) ∈ s

Tactic:
rintro (a | a) (b | b) h

Goal state after:
case mp.inl.inl
X : Type u
Y : Type v
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
s : Set ((X ⊕ Y) × (X ⊕ Y))
hsX : s ∈ Filter.map (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) (𝓤 X)
hsY : s ∈ Filter.map (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) (𝓤 Y)
εX : ℝ
εX0 : εX > 0
hX : ∀ ⦃a b : X⦄, dist a b < εX → (a, b) ∈ (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) ⁻¹' s
εY : ℝ
εY0 : εY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < εY → (a, b) ∈ (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) ⁻¹' s
a b : X
h : Sum.dist (Sum.inl a) (Sum.inl b) < min (min εX εY) 1
⊢ (Sum.inl a, Sum.inl b) ∈ s

case mp.inl.inr
X : Type u
Y : Type v
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
s : Set ((X ⊕ Y) × (X ⊕ Y))
hsX : s ∈ Filter.map (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) (𝓤 X)
hsY : s ∈ Filter.map (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) (𝓤 Y)
εX : ℝ
εX0 : εX > 0
hX : ∀ ⦃a b : X⦄, dist a b < εX → (a, b) ∈ (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) ⁻¹' s
εY : ℝ
εY0 : εY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < εY → (a, b) ∈ (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) ⁻¹' s
a : X
b : Y
h : Sum.dist (Sum.inl a) (Sum.inr b) < min (min εX εY) 1
⊢ (Sum.inl a, Sum.inr b) ∈ s

case mp.inr.inl
X : Type u
Y : Type v
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
s : Set ((X ⊕ Y) × (X ⊕ Y))
hsX : s ∈ Filter.map (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) (𝓤 X)
hsY : s ∈ Filter.map (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) (𝓤 Y)
εX : ℝ
εX0 : εX > 0
hX : ∀ ⦃a b : X⦄, dist a b < εX → (a, b) ∈ (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) ⁻¹' s
εY : ℝ
εY0 : εY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < εY → (a, b) ∈ (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) ⁻¹' s
a : Y
b : X
h : Sum.dist (Sum.inr a) (Sum.inl b) < min (min εX εY) 1
⊢ (Sum.inr a, Sum.inl b) ∈ s

case mp.inr.inr
X : Type u
Y : Type v
inst✝¹ : MetricSpace X
inst✝ : MetricSpace Y
s : Set ((X ⊕ Y) × (X ⊕ Y))
hsX : s ∈ Filter.map (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) (𝓤 X)
hsY : s ∈ Filter.map (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) (𝓤 Y)
εX : ℝ
εX0 : εX > 0
hX : ∀ ⦃a b : X⦄, dist a b < εX → (a, b) ∈ (fun p ↦ (Sum.inl p.1, Sum.inl p.2)) ⁻¹' s
εY : ℝ
εY0 : εY > 0
hY : ∀ ⦃a b : Y⦄, dist a b < εY → (a, b) ∈ (fun p ↦ (Sum.inr p.1, Sum.inr p.2)) ⁻¹' s
a b : Y
h : Sum.dist (Sum.inr a) (Sum.inr b) < min (min εX εY) 1
⊢ (Sum.inr a, Sum.inr b) ∈ s
Module: Mathlib.Topology.Metrizable.CompletelyMetrizable

Goal state before:
pp: case refine_2
X : Type u_1
Y : Type u_2
inst✝¹ : TopologicalSpace X
inst✝ : DiscreteTopology X
m : MetricSpace X :=
  { dist := fun x y ↦ if x = y then 0 else 1, dist_self := ⋯, dist_comm := ⋯, dist_triangle := ⋯, edist_dist := ⋯,
    uniformity_dist := ⋯, cobounded_sets := ⋯, eq_of_dist_eq_zero := ⋯ }
⊢ CompleteSpace X

Tactic:
refine Metric.complete_of_cauchySeq_tendsto fun u hu ↦ ?_

Goal state after:
case refine_2
X : Type u_1
Y : Type u_2
inst✝¹ : TopologicalSpace X
inst✝ : DiscreteTopology X
m : MetricSpace X :=
  { dist := fun x y ↦ if x = y then 0 else 1, dist_self := ⋯, dist_comm := ⋯, dist_triangle := ⋯, edist_dist := ⋯,
    uniformity_dist := ⋯, cobounded_sets := ⋯, eq_of_dist_eq_zero := ⋯ }
u : ℕ → X
hu : CauchySeq u
⊢ ∃ a, Tendsto u atTop (𝓝 a)
Module: Mathlib.Topology.MetricSpace.Gluing

Goal state before:
pp: case inl.inr
ι : Type u_1
E : ι → Type u_2
inst✝ : (i : ι) → MetricSpace (E i)
i : ι
x : E i
j : ι
y : E j
z : E i
hij : i ≠ j
⊢ dist ⟨i, x⟩ ⟨i, z⟩ ≤ dist ⟨i, x⟩ ⟨j, y⟩ + dist ⟨j, y⟩ ⟨i, z⟩

Tactic:
· simp only [Sigma.dist_same, Sigma.dist_ne hij, Sigma.dist_ne hij.symm]
      calc
        dist x z ≤ dist x (Nonempty.some ⟨x⟩) + 0 + 0 + (0 + 0 + dist (Nonempty.some ⟨z⟩) z) := by
          simpa only [zero_add, add_zero] using dist_triangle _ _ _
        _ ≤ _ := by apply_rules [add_le_add, le_rfl, dist_nonneg, zero_le_one]

Goal state after: