mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.GroupTheory.RegularWreathProduct

Goal state before:
pp: case succ
D : Type u_1
Q : Type u_2
inst✝² : Group D
inst✝¹ : Group Q
G : Type u
n✝ : ℕ
inst✝ : Finite G
n : ℕ
h : Finite (IteratedWreathProduct G n)
⊢ Finite (IteratedWreathProduct G (n + 1))

Tactic:
rw [IteratedWreathProduct_succ]

Goal state after:
case succ
D : Type u_1
Q : Type u_2
inst✝² : Group D
inst✝¹ : Group Q
G : Type u
n✝ : ℕ
inst✝ : Finite G
n : ℕ
h : Finite (IteratedWreathProduct G n)
⊢ Finite (IteratedWreathProduct G n ≀ᵣ G)
Module: Mathlib.GroupTheory.RegularWreathProduct

Goal state before:
pp: case succ
D : Type u_1
Q : Type u_2
inst✝² : Group D
inst✝¹ : Group Q
G : Type u
n✝ : ℕ
inst✝ : Group G
n : ℕ
ih : Group (IteratedWreathProduct G n)
⊢ Group (IteratedWreathProduct G (n + 1))

Tactic:
rw [IteratedWreathProduct_succ]

Goal state after:
case succ
D : Type u_1
Q : Type u_2
inst✝² : Group D
inst✝¹ : Group Q
G : Type u
n✝ : ℕ
inst✝ : Group G
n : ℕ
ih : Group (IteratedWreathProduct G n)
⊢ Group (IteratedWreathProduct G n ≀ᵣ G)
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.Centralizer

Goal state before:
pp: case neg
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
m : Multiset ℕ
hm : ¬((m.sum ≤ Fintype.card α ∧ ∀ a ∈ m, 2 ≤ a) ∧ Even (m.sum + m.card))
⊢ (if Even (m.sum + m.card) then #{g | g.cycleType = m} else #∅) = 0

Tactic:
Finset.card_empty

Goal state after:
case neg
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
m : Multiset ℕ
hm : ¬((m.sum ≤ Fintype.card α ∧ ∀ a ∈ m, 2 ≤ a) ∧ Even (m.sum + m.card))
⊢ (if Even (m.sum + m.card) then #{g | g.cycleType = m} else 0) = 0
Module: Mathlib.GroupTheory.SchurZassenhaus

Goal state before:
pp: case pos
G : Type u
inst✝¹ : Group G
N : Subgroup G
inst✝ : N.Normal
hN : N = ⊤
hN1 : Nat.card ↥N = 0
⊢ ∃ H, N.IsComplement' H

Tactic:
rw [hN]

Goal state after:
case pos
G : Type u
inst✝¹ : Group G
N : Subgroup G
inst✝ : N.Normal
hN : N = ⊤
hN1 : Nat.card ↥N = 0
⊢ ∃ H, ⊤.IsComplement' H
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.Simple

Goal state before:
pp: α : Type u_1
inst✝² : Finite α
inst✝¹ : DecidableEq α
inst✝ : (s : Set α) → DecidablePred fun x ↦ x ∈ s
g : Perm α
s : ↑(Set.powersetCard α 2)
⊢ ofSubtype.range = MulAut.conj g • ofSubtype.range

Tactic:
convert! (conj_smul_range_ofSubtype g s).symm

Goal state after:
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.KleinFour

Goal state before:
pp: case inr
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
g : Perm α
hg : g ∈ alternatingGroup α
hg' : ⟨g, hg⟩ ∈ {g | (↑g).cycleType = {2, 2}}
⊢ g ^ 2 = 1

Tactic:
convert! pow_orderOf_eq_one g
      rw [← Equiv.Perm.lcm_cycleType, hg']
      simp

Goal state after:
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.Centralizer

Goal state before:
pp: α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
h5 : 5 ≤ Nat.card α
⊢ closure {b | (↑b).IsThreeCycle} = ⊤

Tactic:
← closure_three_cycles_eq_alternating

Goal state after:
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
h5 : 5 ≤ Nat.card α
⊢ closure {b | (↑b).IsThreeCycle} = ⊤
Module: Mathlib.GroupTheory.SpecificGroups.Quaternion

Goal state before:
pp: n : ℕ
⊢ ∀ (x y : QuaternionGroup 0),
    (match x * y with
      | a j => DihedralGroup.r j
      | xa j => DihedralGroup.sr j) =
      (match x with
        | a j => DihedralGroup.r j
        | xa j => DihedralGroup.sr j) *
        match y with
        | a j => DihedralGroup.r j
        | xa j => DihedralGroup.sr j

Tactic:
rintro (k | k) (l | l) <;> simp

Goal state after:
Module: Mathlib.GroupTheory.SpecificGroups.Quaternion

Goal state before:
pp: case succ
n k : ℕ
IH : a 1 ^ k = a ↑k
⊢ a 1 ^ (k + 1) = a ↑(k + 1)

Tactic:
rw [pow_succ, IH, a_mul_a]

Goal state after:
case succ
n k : ℕ
IH : a 1 ^ k = a ↑k
⊢ a (↑k + 1) = a ↑(k + 1)
Module: Mathlib.GroupTheory.PushoutI

Goal state before:
pp: ι : Type u_1
G : ι → Type u_2
H : Type u_3
inst✝¹ : (i : ι) → Group (G i)
inst✝ : Group H
φ : (i : ι) → H →* G i
hφ : ∀ (i : ι), Injective ⇑(φ i)
i : ι
d : Transversal φ
x✝¹ : DecidableEq ι := Classical.decEq ι
x✝ : (i : ι) → DecidableEq (G i) := fun i ↦ Classical.decEq (G i)
⊢ Injective ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(of i))

Tactic:
intro _ _ h

Goal state after:
ι : Type u_1
G : ι → Type u_2
H : Type u_3
inst✝¹ : (i : ι) → Group (G i)
inst✝ : Group H
φ : (i : ι) → H →* G i
hφ : ∀ (i : ι), Injective ⇑(φ i)
i : ι
d : Transversal φ
x✝¹ : DecidableEq ι := Classical.decEq ι
x✝ : (i : ι) → DecidableEq (G i) := fun i ↦ Classical.decEq (G i)
a₁✝ a₂✝ : G i
h : ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(of i)) a₁✝ = ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(of i)) a₂✝
⊢ a₁✝ = a₂✝
Module: Mathlib.GroupTheory.PushoutI

Goal state before:
pp: ι : Type u_1
G : ι → Type u_2
H : Type u_3
inst✝¹ : (i : ι) → Group (G i)
inst✝ : Group H
φ : (i : ι) → H →* G i
hφ : ∀ (i : ι), Injective ⇑(φ i)
d : Transversal φ
x✝¹ : DecidableEq ι := Classical.decEq ι
x✝ : (i : ι) → DecidableEq (G i) := fun i ↦ Classical.decEq (G i)
⊢ Injective ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(base φ))

Tactic:
intro _ _ h

Goal state after:
ι : Type u_1
G : ι → Type u_2
H : Type u_3
inst✝¹ : (i : ι) → Group (G i)
inst✝ : Group H
φ : (i : ι) → H →* G i
hφ : ∀ (i : ι), Injective ⇑(φ i)
d : Transversal φ
x✝¹ : DecidableEq ι := Classical.decEq ι
x✝ : (i : ι) → DecidableEq (G i) := fun i ↦ Classical.decEq (G i)
a₁✝ a₂✝ : H
h : ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(base φ)) a₁✝ = ((fun x1 x2 ↦ x1 • x2) ∘ ⇑(base φ)) a₂✝
⊢ a₁✝ = a₂✝
Module: Mathlib.Probability.Kernel.Defs

Goal state before:
pp: case inr
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
inst✝ : IsZeroOrMarkovKernel κ
h✝ : Nonempty α
⊢ κ.bound ≤ 1

Tactic:
· rcases eq_zero_or_isMarkovKernel κ with rfl | _ <;> simp

Goal state after:
Module: Mathlib.GroupTheory.SpecificGroups.ZGroup

Goal state before:
pp: case inr
G : Type u_1
G' : Type u_2
G'' : Type u_3
inst✝⁵ : Group G
inst✝⁴ : Group G'
inst✝³ : Group G''
f : G →* G'
f' : G' →* G''
inst✝² : Finite G
inst✝¹ : IsZGroup G
inst✝ : IsZGroup G''
h_le : f'.ker ≤ f.range
p : ℕ
hp : Nat.Prime p
P : Sylow p G'
this✝ : Fact (Nat.Prime p)
h_cop : (Nat.card ↥f'.ker).Coprime f'.ker.index
h : Disjoint f'.ker ↑P
this : IsCyclic ↥(Subgroup.map f' ↑P)
⊢ (f'.subgroupMap ↑P).ker = ⊥

Tactic:
P.ker_subgroupMap f',

Goal state after:
case inr
G : Type u_1
G' : Type u_2
G'' : Type u_3
inst✝⁵ : Group G
inst✝⁴ : Group G'
inst✝³ : Group G''
f : G →* G'
f' : G' →* G''
inst✝² : Finite G
inst✝¹ : IsZGroup G
inst✝ : IsZGroup G''
h_le : f'.ker ≤ f.range
p : ℕ
hp : Nat.Prime p
P : Sylow p G'
this✝ : Fact (Nat.Prime p)
h_cop : (Nat.card ↥f'.ker).Coprime f'.ker.index
h : Disjoint f'.ker ↑P
this : IsCyclic ↥(Subgroup.map f' ↑P)
⊢ f'.ker.subgroupOf ↑P = ⊥
Module: Mathlib.Probability.Kernel.Defs

Goal state before:
pp: α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
n : ℕ
⊢ IsFiniteKernel (if n = 0 then κ else 0)

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
n : ℕ
h✝ : n = 0
⊢ IsFiniteKernel κ

case neg
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
n : ℕ
h✝ : ¬n = 0
⊢ IsFiniteKernel 0
Module: Mathlib.Probability.Kernel.Defs

Goal state before:
pp: α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
a : α
s : Set β
hs : MeasurableSet s
i : ℕ
⊢ ((if i = 0 then κ else 0) a) s = if i = 0 then (κ a) s else 0

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
a : α
s : Set β
hs : MeasurableSet s
i : ℕ
h✝ : i = 0
⊢ (κ a) s = (κ a) s

case neg
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
h : IsFiniteKernel κ
a : α
s : Set β
hs : MeasurableSet s
i : ℕ
h✝ : ¬i = 0
⊢ (0 a) s = 0
Module: Mathlib.Probability.Kernel.MeasurableLIntegral

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
t : Set (α × β)
hκs : ∀ (a : α), IsFiniteMeasure (κ a)
t₁ : Set α
ht₁ : MeasurableSet t₁
t₂ : Set β
ht₂ : MeasurableSet t₂
a : α
⊢ (κ a) (if a ∈ t₁ then t₂ else ∅) = if a ∈ t₁ then (κ a) t₂ else 0

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
t : Set (α × β)
hκs : ∀ (a : α), IsFiniteMeasure (κ a)
t₁ : Set α
ht₁ : MeasurableSet t₁
t₂ : Set β
ht₂ : MeasurableSet t₂
a : α
h✝ : a ∈ t₁
⊢ (κ a) t₂ = (κ a) t₂

case neg
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
t : Set (α × β)
hκs : ∀ (a : α), IsFiniteMeasure (κ a)
t₁ : Set α
ht₁ : MeasurableSet t₁
t₂ : Set β
ht₂ : MeasurableSet t₂
a : α
h✝ : a ∉ t₁
⊢ (κ a) ∅ = 0
Module: Mathlib.Probability.Kernel.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
t : Set β
⊢ (if a ∈ s then κ a else η a) t = if a ∈ s then (κ a) t else (η a) t

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
t : Set β
h✝ : a ∈ s
⊢ (κ a) t = (κ a) t

case neg
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
t : Set β
h✝ : a ∉ s
⊢ (η a) t = (η a) t
Module: Mathlib.Probability.Kernel.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝² : DecidablePred fun x ↦ x ∈ s
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
a : α
⊢ (if a ∈ s then κ a else η a) = Measure.sum fun n ↦ if a ∈ s then (κ.seq n) a else (η.seq n) a

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝² : DecidablePred fun x ↦ x ∈ s
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
a : α
h✝ : a ∈ s
⊢ κ a = Measure.sum fun n ↦ (κ.seq n) a

case neg
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝² : DecidablePred fun x ↦ x ∈ s
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
a : α
h✝ : a ∉ s
⊢ η a = Measure.sum fun n ↦ (η.seq n) a
Module: Mathlib.Probability.Kernel.Composition.Comp

Goal state before:
pp: case hs
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
κ : Kernel α β
η : Kernel β γ
a : α
p : γ → Prop
hp : MeasurableSet {z | p z}
h : (κ a) {a | ¬∀ᵐ (z : γ) ∂η a, p z} = 0
⊢ MeasurableSet {a | ¬p a}

Tactic:
exact hp.compl

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

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
⊢ (∫⁻ (b : β), g b ∂if a ∈ s then κ a else η a) = if a ∈ s then ∫⁻ (b : β), g b ∂κ a else ∫⁻ (b : β), g b ∂η a

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
h✝ : a ∈ s
⊢ ∫⁻ (b : β), g b ∂κ a = ∫⁻ (b : β), g b ∂κ a

case neg
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
h✝ : a ∉ s
⊢ ∫⁻ (b : β), g b ∂η a = ∫⁻ (b : β), g b ∂η a
Module: Mathlib.Probability.Kernel.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
t : Set β
⊢ (∫⁻ (b : β) in t, g b ∂if a ∈ s then κ a else η a) =
    if a ∈ s then ∫⁻ (b : β) in t, g b ∂κ a else ∫⁻ (b : β) in t, g b ∂η a

Tactic:
split_ifs

Goal state after:
case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
t : Set β
h✝ : a ∈ s
⊢ ∫⁻ (b : β) in t, g b ∂κ a = ∫⁻ (b : β) in t, g b ∂κ a

case neg
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ η : Kernel α β
s : Set α
hs : MeasurableSet s
inst✝ : DecidablePred fun x ↦ x ∈ s
a : α
g : β → ℝ≥0∞
t : Set β
h✝ : a ∉ s
⊢ ∫⁻ (b : β) in t, g b ∂η a = ∫⁻ (b : β) in t, g b ∂η a
Module: Mathlib.Probability.Kernel.Composition.MapComap

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
γ : Type u_4
mγ : MeasurableSpace γ
κ : Kernel α β
f : β ≃ᵐ γ
η : Kernel α γ
⊢ (∀ (a : α), (κ.map ⇑f) a = η a) ↔ ∀ (a : α), κ a = (η.map ⇑f.symm) a

Tactic:
map_apply _ f.measurable,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
γ : Type u_4
mγ : MeasurableSpace γ
κ : Kernel α β
f : β ≃ᵐ γ
η : Kernel α γ
⊢ (∀ (a : α), Measure.map (⇑f) (κ a) = η a) ↔ ∀ (a : α), κ a = (η.map ⇑f.symm) a
Module: Mathlib.Probability.Kernel.Composition.MapComap

Goal state before:
pp: α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
⊢ prodMkLeft α 0 = 0

Tactic:
ext x s _; simp

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.MapComap

Goal state before:
pp: α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
⊢ prodMkRight α 0 = 0

Tactic:
ext x s _; simp

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.CompMap

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
⊢ swap α β ∘ₖ swap β α = Kernel.id

Tactic:
simp_rw [swap, Kernel.deterministic_comp_deterministic, Prod.swap_swap_eq, Kernel.id]

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.MeasureCompProd

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure α
κ : Kernel α β
γ : Type u_3
mγ : MeasurableSpace γ
η : Kernel (α × β) γ
⊢ map (⇑MeasurableEquiv.prodAssoc) (μ ⊗ₘ κ ⊗ₘ η) = μ ⊗ₘ (κ ⊗ₖ η)

Tactic:
simp [← Measure.compProd_assoc]

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.CompProd

Goal state before:
pp: case e_f
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
s : Set (β × γ)
hs : MeasurableSet s
κ : Kernel α β
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
b : β
⊢ ((swap γ β ∘ₖ (η ∥ₖ Kernel.id) ∘ₖ deterministic ⇑MeasurableEquiv.prodAssoc.symm ⋯ ∘ₖ (Kernel.id ∥ₖ copy β))
        ((a, a).1, b))
      s =
    (η (a, b)) (Prod.mk b ⁻¹' s)

Tactic:
rw [comp_apply, parallelComp_apply, Kernel.id_apply, copy_apply, Measure.dirac_prod_dirac,
    Measure.dirac_bind (by fun_prop), comp_apply, deterministic_apply (by fun_prop),
    Measure.dirac_bind (by fun_prop), comp_apply]

Goal state after:
case e_f
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
s : Set (β × γ)
hs : MeasurableSet s
κ : Kernel α β
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
b : β
⊢ (((η ∥ₖ Kernel.id) (MeasurableEquiv.prodAssoc.symm (((a, a).1, b).1, ((a, a).1, b).2, ((a, a).1, b).2))).bind
        ⇑(swap γ β))
      s =
    (η (a, b)) (Prod.mk b ⁻¹' s)
Module: Mathlib.Probability.Kernel.Composition.Prod

Goal state before:
pp: case hf
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
γ : Type u_4
mγ : MeasurableSpace γ
f : α → β
mf : Measurable f
κ : Kernel α γ
inst✝ : IsSFiniteKernel κ
a : α
s : Set (β × γ)
hs : MeasurableSet s
⊢ Measurable fun b ↦ (κ a) (Prod.mk b ⁻¹' s)

Tactic:
exact measurable_measure_prodMk_left hs

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.MapComap

Goal state before:
pp: α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝ : Nonempty γ
κ : Kernel α β
inhabited_h : Inhabited γ
h : IsSFiniteKernel (prodMkLeft γ κ)
⊢ IsSFiniteKernel κ

Tactic:
rw [← sectR_prodMkLeft γ κ default]

Goal state after:
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝ : Nonempty γ
κ : Kernel α β
inhabited_h : Inhabited γ
h : IsSFiniteKernel (prodMkLeft γ κ)
⊢ IsSFiniteKernel ((prodMkLeft γ κ).sectR default)
Module: Mathlib.Probability.Kernel.Composition.KernelLemmas

Goal state before:
pp: case e_f.hf
X : Type u_1
Y : Type u_2
Z : Type u_3
mX : MeasurableSpace X
mY : MeasurableSpace Y
mZ : MeasurableSpace Z
κ : Kernel X Y
inst✝¹ : IsSFiniteKernel κ
η : Kernel Y Z
inst✝ : IsSFiniteKernel η
a : X
s : Set (Y × Z)
hs : MeasurableSet s
b : Y
⊢ Measurable fun b_1 ↦ (η b) (Prod.mk b_1 ⁻¹' s)

Tactic:
exact measurable_measure_prodMk_left hs

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.CompProd

Goal state before:
pp: case pos.hs
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
a : α
κ : Kernel α β
η : Kernel (α × β) γ
p : β × γ → Prop
hp : MeasurableSet {x | p x}
hκ : IsSFiniteKernel κ
hη : IsSFiniteKernel η
h : (κ a) {a_1 | ¬(η (a, a_1)) {a | ¬p (a_1, a)} = 0} = 0
⊢ MeasurableSet {a | ¬p a}

Tactic:
exact hp.compl

Goal state after:
Module: Mathlib.Probability.Kernel.Composition.RadonNikodym

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ ν : Measure α
κ η : Kernel α β
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsFiniteKernel κ
inst✝ : IsFiniteKernel η
h :
  (μ.singularPart ν ⊗ₘ κ + ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η]
    (μ.singularPart ν ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) + (ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η)
⊢ (ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η]
    (μ.singularPart ν ⊗ₘ κ + ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η)

Tactic:
have h2 : (μ.singularPart ν ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η] 0 := by
    refine Measure.rnDeriv_eq_zero_of_mutuallySingular ?_ ?_
    · exact Measure.MutuallySingular.compProd_of_left (μ.mutuallySingular_singularPart _) _ _
    · exact Measure.AbsolutelyContinuous.rfl

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ ν : Measure α
κ η : Kernel α β
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsFiniteKernel κ
inst✝ : IsFiniteKernel η
h :
  (μ.singularPart ν ⊗ₘ κ + ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η]
    (μ.singularPart ν ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) + (ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η)
h2 : (μ.singularPart ν ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η] 0
⊢ (ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) =ᵐ[ν ⊗ₘ η]
    (μ.singularPart ν ⊗ₘ κ + ν.withDensity (μ.rnDeriv ν) ⊗ₘ κ).rnDeriv (ν ⊗ₘ η)
Module: Mathlib.Probability.Kernel.Composition.IntegralCompProd

Goal state before:
pp: case pos
α : Type u_1
β : Type u_2
γ : Type u_3
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝³ : NormedAddCommGroup E
a : α
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel η
inst✝ : NormedSpace ℝ E
f✝ : β × γ → E
hE : CompleteSpace E
⊢ Integrable f✝ ((κ ⊗ₖ η) a) → ∫ (z : β × γ), f✝ z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), f✝ (x, y) ∂η (a, x) ∂κ a

Tactic:
apply Integrable.induction

Goal state after:
case pos.h_ind
α : Type u_1
β : Type u_2
γ : Type u_3
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝³ : NormedAddCommGroup E
a : α
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel η
inst✝ : NormedSpace ℝ E
f✝ : β × γ → E
hE : CompleteSpace E
⊢ ∀ (c : E) ⦃s : Set (β × γ)⦄,
    MeasurableSet s →
      ((κ ⊗ₖ η) a) s < ∞ →
        ∫ (z : β × γ), s.indicator (fun x ↦ c) z ∂(κ ⊗ₖ η) a =
          ∫ (x : β), ∫ (y : γ), s.indicator (fun x ↦ c) (x, y) ∂η (a, x) ∂κ a

case pos.h_add
α : Type u_1
β : Type u_2
γ : Type u_3
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝³ : NormedAddCommGroup E
a : α
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel η
inst✝ : NormedSpace ℝ E
f✝ : β × γ → E
hE : CompleteSpace E
⊢ ∀ ⦃f g : β × γ → E⦄,
    Disjoint (support f) (support g) →
      Integrable f ((κ ⊗ₖ η) a) →
        Integrable g ((κ ⊗ₖ η) a) →
          ∫ (z : β × γ), f z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), f (x, y) ∂η (a, x) ∂κ a →
            ∫ (z : β × γ), g z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), g (x, y) ∂η (a, x) ∂κ a →
              ∫ (z : β × γ), (f + g) z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), (f + g) (x, y) ∂η (a, x) ∂κ a

case h_closed
α : Type u_1
β : Type u_2
γ : Type u_3
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝³ : NormedAddCommGroup E
a : α
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel η
inst✝ : NormedSpace ℝ E
f✝ : β × γ → E
hE : CompleteSpace E
⊢ IsClosed {f | ∫ (z : β × γ), ↑↑f z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), ↑↑f (x, y) ∂η (a, x) ∂κ a}

case h_ae
α : Type u_1
β : Type u_2
γ : Type u_3
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
inst✝³ : NormedAddCommGroup E
a : α
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel η
inst✝ : NormedSpace ℝ E
f✝ : β × γ → E
hE : CompleteSpace E
⊢ ∀ ⦃f g : β × γ → E⦄,
    f =ᵐ[(κ ⊗ₖ η) a] g →
      Integrable f ((κ ⊗ₖ η) a) →
        ∫ (z : β × γ), f z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), f (x, y) ∂η (a, x) ∂κ a →
          ∫ (z : β × γ), g z ∂(κ ⊗ₖ η) a = ∫ (x : β), ∫ (y : γ), g (x, y) ∂η (a, x) ∂κ a
Module: Mathlib.MeasureTheory.Measure.Decomposition.IntegralRNDeriv

Goal state before:
pp: 𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
μ ν : Measure 𝓧
f : ℝ → ℝ
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont : ContinuousWithinAt f (Ici 0) 0
hf_int : Integrable (fun x ↦ f (μ.rnDeriv ν x).toReal) ν
hμν : μ ≪ ν
hν : ¬ν = 0
this✝ : NeZero ν
μ' : Measure 𝓧 := (ν univ)⁻¹ • μ
ν' : Measure 𝓧 := (ν univ)⁻¹ • ν
this : IsFiniteMeasure μ'
hμν' : μ' ≪ ν'
h1' : μ'.rnDeriv ν' =ᵐ[ν'] (ν univ)⁻¹ • μ.rnDeriv ν'
h1 : μ'.rnDeriv ν' =ᵐ[ν] (ν univ)⁻¹ • μ.rnDeriv ν'
h2 : μ.rnDeriv ν' =ᵐ[ν] (ν univ)⁻¹⁻¹ • μ.rnDeriv ν
x : 𝓧
⊢ μ'.rnDeriv ν' x = ((ν univ)⁻¹ • μ.rnDeriv ν') x →
    μ.rnDeriv ν' x = ((ν univ)⁻¹⁻¹ • μ.rnDeriv ν) x → μ'.rnDeriv ν' x = μ.rnDeriv ν x

Tactic:
h1

Goal state after:
𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
μ ν : Measure 𝓧
f : ℝ → ℝ
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont : ContinuousWithinAt f (Ici 0) 0
hf_int : Integrable (fun x ↦ f (μ.rnDeriv ν x).toReal) ν
hμν : μ ≪ ν
hν : ¬ν = 0
this✝ : NeZero ν
μ' : Measure 𝓧 := (ν univ)⁻¹ • μ
ν' : Measure 𝓧 := (ν univ)⁻¹ • ν
this : IsFiniteMeasure μ'
hμν' : μ' ≪ ν'
h1' : μ'.rnDeriv ν' =ᵐ[ν'] (ν univ)⁻¹ • μ.rnDeriv ν'
h1✝ : μ'.rnDeriv ν' =ᵐ[ν] (ν univ)⁻¹ • μ.rnDeriv ν'
h2 : μ.rnDeriv ν' =ᵐ[ν] (ν univ)⁻¹⁻¹ • μ.rnDeriv ν
x : 𝓧
h1 : μ'.rnDeriv ν' x = ((ν univ)⁻¹ • μ.rnDeriv ν') x
⊢ μ.rnDeriv ν' x = ((ν univ)⁻¹⁻¹ • μ.rnDeriv ν) x → μ'.rnDeriv ν' x = μ.rnDeriv ν x
Module: Mathlib.Probability.Kernel.Composition.CompProd

Goal state before:
pp: case pos
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
κ : Kernel α β
η : Kernel (α × β) γ
inst✝ : IsFiniteKernel η
a : α
hκ : IsSFiniteKernel κ
⊢ ((κ ⊗ₖ η) a) Set.univ ≤ (κ a) Set.univ * η.bound

Tactic:
compProd_apply .univ

Goal state after:
case pos
α : Type u_1
β : Type u_2
γ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
κ : Kernel α β
η : Kernel (α × β) γ
inst✝ : IsFiniteKernel η
a : α
hκ : IsSFiniteKernel κ
⊢ ∫⁻ (b : β), (η (a, b)) (Prod.mk b ⁻¹' Set.univ) ∂κ a ≤ (κ a) Set.univ * η.bound