mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ (((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2)).prod (η.hom a✝.2)) (⇑prodAssoc ⁻¹' s✝) =
    ((κ₁.hom (prodAssoc a✝).1).prod ((κ₂.hom ∥ₖ η.hom) (prodAssoc a✝).2)) s✝

Tactic:
]

Goal state after:
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ (((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2)).prod (η.hom a✝.2)) (⇑prodAssoc ⁻¹' s✝) =
    ((κ₁.hom (prodAssoc a✝).1).prod ((κ₂.hom ∥ₖ η.hom) (prodAssoc a✝).2)) s✝
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ (((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2)).prod (η.hom a✝.2)) (⇑prodAssoc ⁻¹' s✝) =
    ((κ₁.hom (prodAssoc a✝).1).prod ((κ₂.hom (prodAssoc a✝).2.1).prod (η.hom (prodAssoc a✝).2.2))) s✝

Tactic:
]

Goal state after:
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ (((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2)).prod (η.hom a✝.2)) (⇑prodAssoc ⁻¹' s✝) =
    ((κ₁.hom (prodAssoc a✝).1).prod ((κ₂.hom (prodAssoc a✝).2.1).prod (η.hom (prodAssoc a✝).2.2))) s✝
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
s : ι → Set Ω
hπ : ∀ (i : ι), MeasurableSet (s i)
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (s_1 : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s_1, f i ∈ {s i}) →
        μ[(⋂ i ∈ s_1, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s_1, μ[(f i).indicator fun ω ↦ 1 | m']) ↔
    ∀ (S : Finset ι), μ[(⋂ i ∈ S, s i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ S, μ[(s i).indicator fun ω ↦ 1 | m']

pp: case hπ
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
s : ι → Set Ω
hπ : ∀ (i : ι), MeasurableSet (s i)
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ (i : ι), ∀ s_1 ∈ {s i}, MeasurableSet s_1

Tactic:
]

Goal state after:
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
s : ι → Set Ω
hπ : ∀ (i : ι), MeasurableSet (s i)
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (s_1 : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s_1, f i ∈ {s i}) →
        μ[(⋂ i ∈ s_1, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s_1, μ[(f i).indicator fun ω ↦ 1 | m']) ↔
    ∀ (S : Finset ι), μ[(⋂ i ∈ S, s i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ S, μ[(s i).indicator fun ω ↦ 1 | m']

case hπ
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
s : ι → Set Ω
hπ : ∀ (i : ι), MeasurableSet (s i)
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ (i : ι), ∀ s_1 ∈ {s i}, MeasurableSet s_1
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ ∫⁻ (x : Y₁✝.carrier),
      ∫⁻ (y : Y₂✝.carrier), (η.hom a✝.2) (Prod.mk (x, y) ⁻¹' ⇑prodAssoc ⁻¹' s✝) ∂κ₂.hom a✝.1.2 ∂κ₁.hom a✝.1.1 =
    ∫⁻ (x : Y₁✝.carrier),
      ((κ₂.hom (prodAssoc a✝).2.1).prod (η.hom (prodAssoc a✝).2.2)) (Prod.mk x ⁻¹' s✝) ∂κ₁.hom (prodAssoc a✝).1

pp: case hf
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ AEMeasurable (fun x ↦ (η.hom a✝.2) (Prod.mk x ⁻¹' ⇑prodAssoc ⁻¹' s✝)) ((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2))

Tactic:
]

Goal state after:
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ ∫⁻ (x : Y₁✝.carrier),
      ∫⁻ (y : Y₂✝.carrier), (η.hom a✝.2) (Prod.mk (x, y) ⁻¹' ⇑prodAssoc ⁻¹' s✝) ∂κ₂.hom a✝.1.2 ∂κ₁.hom a✝.1.1 =
    ∫⁻ (x : Y₁✝.carrier),
      ((κ₂.hom (prodAssoc a✝).2.1).prod (η.hom (prodAssoc a✝).2.2)) (Prod.mk x ⁻¹' s✝) ∂κ₁.hom (prodAssoc a✝).1

case hf
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
⊢ AEMeasurable (fun x ↦ (η.hom a✝.2) (Prod.mk x ⁻¹' ⇑prodAssoc ⁻¹' s✝)) ((κ₁.hom a✝.1.1).prod (κ₂.hom a✝.1.2))
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ (∀ (t1 t2 : Set Ω),
      t1 ∈ {s} →
        t2 ∈ {t} →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']) ↔
    μ[(s ∩ t).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[s.indicator fun ω ↦ 1 | m'] * μ[t.indicator fun ω ↦ 1 | m']

pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∀ s_1 ∈ {s}, MeasurableSet s_1

pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∀ s ∈ {t}, MeasurableSet s

Tactic:
]

Goal state after:
Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ (∀ (t1 t2 : Set Ω),
      t1 ∈ {s} →
        t2 ∈ {t} →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']) ↔
    μ[(s ∩ t).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[s.indicator fun ω ↦ 1 | m'] * μ[t.indicator fun ω ↦ 1 | m']

Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∀ s_1 ∈ {s}, MeasurableSet s_1

Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∀ s ∈ {t}, MeasurableSet s
Module: Mathlib.Probability.Kernel.Proper

Goal state before:
pp: case refine_2
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f₁ f₂ : X → ℝ≥0∞
a✝¹ : Measurable f₁
a✝ : Measurable f₂
hf₁ : ∫⁻ (x : X), B.indicator 1 x * f₁ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀
hf₂ : ∫⁻ (x : X), B.indicator 1 x * f₂ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀
⊢ B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀ + B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀ =
    B.indicator 1 x₀ * ∫⁻ (a : X), f₁ a ∂π x₀ + B.indicator 1 x₀ * ∫⁻ (a : X), f₂ a ∂π x₀

pp: case refine_2.hg
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f₁ f₂ : X → ℝ≥0∞
a✝¹ : Measurable f₁
a✝ : Measurable f₂
hf₁ : ∫⁻ (x : X), B.indicator 1 x * f₁ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀
hf₂ : ∫⁻ (x : X), B.indicator 1 x * f₂ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀
⊢ Measurable f₂

pp: case refine_2.hg
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f₁ f₂ : X → ℝ≥0∞
a✝¹ : Measurable f₁
a✝ : Measurable f₂
hf₁ : ∫⁻ (x : X), B.indicator 1 x * f₁ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀
hf₂ : ∫⁻ (x : X), B.indicator 1 x * f₂ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀
⊢ Measurable fun x ↦ B.indicator 1 x * f₂ x

Tactic:
]

Goal state after:
case refine_2.hg
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f₁ f₂ : X → ℝ≥0∞
a✝¹ : Measurable f₁
a✝ : Measurable f₂
hf₁ : ∫⁻ (x : X), B.indicator 1 x * f₁ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀
hf₂ : ∫⁻ (x : X), B.indicator 1 x * f₂ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀
⊢ Measurable f₂

case refine_2.hg
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f₁ f₂ : X → ℝ≥0∞
a✝¹ : Measurable f₁
a✝ : Measurable f₂
hf₁ : ∫⁻ (x : X), B.indicator 1 x * f₁ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₁ x ∂π x₀
hf₂ : ∫⁻ (x : X), B.indicator 1 x * f₂ x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f₂ x ∂π x₀
⊢ Measurable fun x ↦ B.indicator 1 x * f₂ x
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: case e_f
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
a : Y₁✝.carrier
⊢ ∫⁻ (y : Y₂✝.carrier), (η.hom a✝.2) (Prod.mk (a, y) ⁻¹' ⇑prodAssoc ⁻¹' s✝) ∂κ₂.hom a✝.1.2 =
    ∫⁻ (x : Y₂✝.carrier), (η.hom (prodAssoc a✝).2.2) (Prod.mk x ⁻¹' Prod.mk a ⁻¹' s✝) ∂κ₂.hom (prodAssoc a✝).2.1

Tactic:
]

Goal state after:
case e_f
X₁✝ X₂✝ X₃✝ Y₁✝ Y₂✝ Y₃✝ : SFinKer
κ₁ : X₁✝ ⟶ Y₁✝
κ₂ : X₂✝ ⟶ Y₂✝
η : X₃✝ ⟶ Y₃✝
a✝ : (X₁✝.carrier × X₂✝.carrier) × X₃✝.carrier
s✝ : Set (Y₁✝.carrier × Y₂✝.carrier × Y₃✝.carrier)
hs : MeasurableSet s✝
a : Y₁✝.carrier
⊢ ∫⁻ (y : Y₂✝.carrier), (η.hom a✝.2) (Prod.mk (a, y) ⁻¹' ⇑prodAssoc ⁻¹' s✝) ∂κ₂.hom a✝.1.2 =
    ∫⁻ (x : Y₂✝.carrier), (η.hom (prodAssoc a✝).2.2) (Prod.mk x ⁻¹' Prod.mk a ⁻¹' s✝) ∂κ₂.hom (prodAssoc a✝).2.1
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = s
⊢ MeasurableSet s'

Tactic:
]

Goal state after:
Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = s
⊢ MeasurableSet s'
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = s
⊢ MeasurableSet s

Tactic:
]

Goal state after:
Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = s
⊢ MeasurableSet s
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = t
⊢ MeasurableSet s'

Tactic:
]

Goal state after:
Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = t
⊢ MeasurableSet s'
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = t
⊢ MeasurableSet t

Tactic:
]

Goal state after:
Ω : Type u_1
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
s t : Set Ω
hs : MeasurableSet s
ht : MeasurableSet t
s' : Set Ω
hs' : s' = t
⊢ MeasurableSet t
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
⊢ Kernel.deterministic Prod.snd ⋯ ∘ₖ (Kernel.id ∥ₖ κ.hom) = κ.hom ∘ₖ Kernel.deterministic Prod.snd ⋯

Tactic:
]

Goal state after:
X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
⊢ Kernel.deterministic Prod.snd ⋯ ∘ₖ (Kernel.id ∥ₖ κ.hom) = κ.hom ∘ₖ Kernel.deterministic Prod.snd ⋯
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
m : ι → MeasurableSpace Ω
hm : ∀ (i : ι), m i ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (s : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s, f i ∈ {s | MeasurableSet s}) →
        μ[(⋂ i ∈ s, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s, μ[(f i).indicator fun ω ↦ 1 | m']) ↔
    ∀ (s : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s, MeasurableSet (f i)) →
        μ[(⋂ i ∈ s, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s, μ[(f i).indicator fun ω ↦ 1 | m']

pp: case hπ
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
m : ι → MeasurableSpace Ω
hm : ∀ (i : ι), m i ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ (i : ι), ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s

Tactic:
]

Goal state after:
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
m : ι → MeasurableSpace Ω
hm : ∀ (i : ι), m i ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (s : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s, f i ∈ {s | MeasurableSet s}) →
        μ[(⋂ i ∈ s, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s, μ[(f i).indicator fun ω ↦ 1 | m']) ↔
    ∀ (s : Finset ι) {f : ι → Set Ω},
      (∀ i ∈ s, MeasurableSet (f i)) →
        μ[(⋂ i ∈ s, f i).indicator fun ω ↦ 1 | m'] =ᵐ[μ] ∏ i ∈ s, μ[(f i).indicator fun ω ↦ 1 | m']

case hπ
Ω : Type u_1
ι : Type u_2
m' mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
m : ι → MeasurableSpace Ω
hm : ∀ (i : ι), m i ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ (i : ι), ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s
Module: Mathlib.Probability.Kernel.Proper

Goal state before:
pp: case refine_3
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f' : ℕ → X → ℝ≥0∞
hf'_meas : ∀ (n : ℕ), Measurable (f' n)
hf'_mono : Monotone f'
hf' : ∀ (n : ℕ), ∫⁻ (x : X), B.indicator 1 x * f' n x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f' n x ∂π x₀
⊢ ⨆ n, ∫⁻ (a : X), B.indicator 1 a * f' n a ∂π x₀ = ⨆ i, B.indicator 1 x₀ * ∫⁻ (a : X), f' i a ∂π x₀

pp: case refine_3
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f' : ℕ → X → ℝ≥0∞
hf'_meas : ∀ (n : ℕ), Measurable (f' n)
hf'_mono : Monotone f'
hf' : ∀ (n : ℕ), ∫⁻ (x : X), B.indicator 1 x * f' n x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f' n x ∂π x₀
⊢ Monotone fun i x ↦ B.indicator 1 x * f' i x

Tactic:
]

Goal state after:
case refine_3
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f' : ℕ → X → ℝ≥0∞
hf'_meas : ∀ (n : ℕ), Measurable (f' n)
hf'_mono : Monotone f'
hf' : ∀ (n : ℕ), ∫⁻ (x : X), B.indicator 1 x * f' n x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f' n x ∂π x₀
⊢ ⨆ n, ∫⁻ (a : X), B.indicator 1 a * f' n a ∂π x₀ = ⨆ i, B.indicator 1 x₀ * ∫⁻ (a : X), f' i a ∂π x₀

case refine_3
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
B : Set X
f : X → ℝ≥0∞
x₀ : X
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hB : MeasurableSet B
f' : ℕ → X → ℝ≥0∞
hf'_meas : ∀ (n : ℕ), Measurable (f' n)
hf'_mono : Monotone f'
hf' : ∀ (n : ℕ), ∫⁻ (x : X), B.indicator 1 x * f' n x ∂π x₀ = B.indicator 1 x₀ * ∫⁻ (x : X), f' n x ∂π x₀
⊢ Monotone fun i x ↦ B.indicator 1 x * f' i x
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : PUnit.{u + 1} × X✝.carrier
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : PUnit.{u + 1}), (κ.hom a✝.2) (Prod.mk b ⁻¹' Prod.snd ⁻¹' s✝) ∂Kernel.id a✝.1 = (κ.hom a✝.2) s✝

Tactic:
]

Goal state after:
X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : PUnit.{u + 1} × X✝.carrier
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : PUnit.{u + 1}), (κ.hom a✝.2) (Prod.mk b ⁻¹' Prod.snd ⁻¹' s✝) ∂Kernel.id a✝.1 = (κ.hom a✝.2) s✝
Module: Mathlib.Probability.Kernel.Proper

Goal state before:
pp: X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
A B : Set X
f : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hA : MeasurableSet A
hB : MeasurableSet B
x₀ : X
⊢ ∫⁻ (x : X) in A ∩ B, f x ∂π x₀ = ∫⁻ (a : X) in A ∩ B, f a ∂π x₀

pp: case hs
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
A B : Set X
f : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hA : MeasurableSet A
hB : MeasurableSet B
x₀ : X
⊢ MeasurableSet A

pp: X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
A B : Set X
f : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hA : MeasurableSet A
hB : MeasurableSet B
x₀ : X
⊢ Measurable (A.indicator f)

Tactic:
]

Goal state after:
case hs
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
A B : Set X
f : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hA : MeasurableSet A
hB : MeasurableSet B
x₀ : X
⊢ MeasurableSet A

X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
A B : Set X
f : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hA : MeasurableSet A
hB : MeasurableSet B
x₀ : X
⊢ Measurable (A.indicator f)
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
⊢ Kernel.deterministic Prod.fst ⋯ ∘ₖ (κ.hom ∥ₖ Kernel.id) = κ.hom ∘ₖ Kernel.deterministic Prod.fst ⋯

Tactic:
]

Goal state after:
X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
⊢ Kernel.deterministic Prod.fst ⋯ ∘ₖ (κ.hom ∥ₖ Kernel.id) = κ.hom ∘ₖ Kernel.deterministic Prod.fst ⋯
Module: Mathlib.Probability.Independence.Conditional

Goal state before:
pp: Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (t1 t2 : Set Ω),
      t1 ∈ {s | MeasurableSet s} →
        t2 ∈ {s | MeasurableSet s} →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']) ↔
    ∀ (t1 t2 : Set Ω),
      MeasurableSet t1 →
        MeasurableSet t2 →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']

pp: case hs1
Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s

pp: case hs2
Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s

Tactic:
]

Goal state after:
Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ (∀ (t1 t2 : Set Ω),
      t1 ∈ {s | MeasurableSet s} →
        t2 ∈ {s | MeasurableSet s} →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']) ↔
    ∀ (t1 t2 : Set Ω),
      MeasurableSet t1 →
        MeasurableSet t2 →
          μ[(t1 ∩ t2).indicator fun ω ↦ 1 | m'] =ᵐ[μ] μ[t1.indicator fun ω ↦ 1 | m'] * μ[t2.indicator fun ω ↦ 1 | m']

case hs1
Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s

case hs2
Ω : Type u_1
m' m₁ m₂ mΩ : MeasurableSpace Ω
inst✝¹ : StandardBorelSpace Ω
hm' : m' ≤ mΩ
hm₁ : m₁ ≤ mΩ
hm₂ : m₂ ≤ mΩ
μ : Measure Ω
inst✝ : IsFiniteMeasure μ
⊢ ∀ s ∈ {s | MeasurableSet s}, MeasurableSet s
Module: Mathlib.Probability.Independence.BoundedContinuousFunction

Goal state before:
pp: Ω : Type u_1
mΩ : MeasurableSpace Ω
P : Measure Ω
G : Type u_6
H : Type u_7
inst✝⁸ : TopologicalSpace G
inst✝⁷ : MeasurableSpace G
inst✝⁶ : BorelSpace G
inst✝⁵ : HasOuterApproxClosed G
inst✝⁴ : TopologicalSpace H
inst✝³ : MeasurableSpace H
inst✝² : BorelSpace H
inst✝¹ : HasOuterApproxClosed H
Z : Ω → G
U : Ω → H
inst✝ : IsFiniteMeasure P
mZ : AEMeasurable Z P
mU : AEMeasurable U P
h :
  ∀ (f : G →ᵇ ℝ) (g : H →ᵇ ℝ), ∫ (x : Ω), (⇑f ∘ Z * ⇑g ∘ U) x ∂P = (∫ (x : Ω), (⇑f ∘ Z) x ∂P) * ∫ (x : Ω), (⇑g ∘ U) x ∂P
⊢ map (fun ω ↦ (Z ω, U ω)) P = (map Z P).prod (map U P)

Tactic:
]

Goal state after:
Ω : Type u_1
mΩ : MeasurableSpace Ω
P : Measure Ω
G : Type u_6
H : Type u_7
inst✝⁸ : TopologicalSpace G
inst✝⁷ : MeasurableSpace G
inst✝⁶ : BorelSpace G
inst✝⁵ : HasOuterApproxClosed G
inst✝⁴ : TopologicalSpace H
inst✝³ : MeasurableSpace H
inst✝² : BorelSpace H
inst✝¹ : HasOuterApproxClosed H
Z : Ω → G
U : Ω → H
inst✝ : IsFiniteMeasure P
mZ : AEMeasurable Z P
mU : AEMeasurable U P
h :
  ∀ (f : G →ᵇ ℝ) (g : H →ᵇ ℝ), ∫ (x : Ω), (⇑f ∘ Z * ⇑g ∘ U) x ∂P = (∫ (x : Ω), (⇑f ∘ Z) x ∂P) * ∫ (x : Ω), (⇑g ∘ U) x ∂P
⊢ map (fun ω ↦ (Z ω, U ω)) P = (map Z P).prod (map U P)
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : X✝.carrier × PUnit.{u + 1}
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : Y✝.carrier), (Kernel.id a✝.2) (Prod.mk b ⁻¹' Prod.fst ⁻¹' s✝) ∂κ.hom a✝.1 = (κ.hom a✝.1) s✝

Tactic:
]

Goal state after:
X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : X✝.carrier × PUnit.{u + 1}
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : Y✝.carrier), (Kernel.id a✝.2) (Prod.mk b ⁻¹' Prod.fst ⁻¹' s✝) ∂κ.hom a✝.1 = (κ.hom a✝.1) s✝
Module: Mathlib.Probability.Kernel.Category.SFinKer

Goal state before:
pp: X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : X✝.carrier × PUnit.{u + 1}
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : Y✝.carrier), (Prod.mk b ⁻¹' Prod.fst ⁻¹' s✝).indicator 1 a✝.2 ∂κ.hom a✝.1 =
    ∫⁻ (a : Y✝.carrier), s✝.indicator 1 a ∂κ.hom a✝.1

Tactic:
]

Goal state after:
X✝ Y✝ : SFinKer
κ : X✝ ⟶ Y✝
a✝ : X✝.carrier × PUnit.{u + 1}
s✝ : Set Y✝.carrier
hs : MeasurableSet s✝
this : IsSFiniteKernel κ.hom
⊢ ∫⁻ (b : Y✝.carrier), (Prod.mk b ⁻¹' Prod.fst ⁻¹' s✝).indicator 1 a✝.2 ∂κ.hom a✝.1 =
    ∫⁻ (a : Y✝.carrier), s✝.indicator 1 a ∂κ.hom a✝.1
Module: Mathlib.Probability.Kernel.Proper

Goal state before:
pp: case refine_1
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
f g : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hg : Measurable g
x₀ : X
c : ℝ≥0∞
A : Set X
hA : MeasurableSet A
⊢ c * (A.indicator 1 x₀ * ∫⁻ (x : X), f x ∂π x₀) = c * (A.indicator 1 x₀ * ∫⁻ (x : X), f x ∂π x₀)

pp: case refine_1.hf
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
f g : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hg : Measurable g
x₀ : X
c : ℝ≥0∞
A : Set X
hA : MeasurableSet A
⊢ Measurable fun x ↦ A.indicator 1 x * f x

Tactic:
]

Goal state after:
case refine_1.hf
X : Type u_1
𝓑 𝓧 : MeasurableSpace X
π : Kernel X X
f g : X → ℝ≥0∞
hπ : π.IsProper
h𝓑𝓧 : 𝓑 ≤ 𝓧
hf : Measurable f
hg : Measurable g
x₀ : X
c : ℝ≥0∞
A : Set X
hA : MeasurableSet A
⊢ Measurable fun x ↦ A.indicator 1 x * f x