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

Goal state before:
pp: G : Type u_1
inst✝ : Group G
A B : Subgroup G
φ : ↥A ≃* ↥B
motive : HNNExtension G A B φ → Prop
x : HNNExtension G A B φ
of : ∀ (g : G), motive (HNNExtension.of g)
t : motive HNNExtension.t
mul : ∀ (x y : HNNExtension G A B φ), motive x → motive y → motive (x * y)
inv : ∀ (x : HNNExtension G A B φ), motive x → motive x⁻¹
S : Subgroup (HNNExtension G A B φ) := { carrier := Set.ofPred motive, mul_mem' := ⋯, one_mem' := ⋯, inv_mem' := ⋯ }
f : HNNExtension G A B φ →* ↥S := lift (HNNExtension.of.codRestrict S of) ⟨HNNExtension.t, t⟩ ⋯
⊢ motive x

Tactic:
have hf : S.subtype.comp f = MonoidHom.id _ :=
    hom_ext (by ext; simp [f]) (by simp [f])

Goal state after:
G : Type u_1
inst✝ : Group G
A B : Subgroup G
φ : ↥A ≃* ↥B
motive : HNNExtension G A B φ → Prop
x : HNNExtension G A B φ
of : ∀ (g : G), motive (HNNExtension.of g)
t : motive HNNExtension.t
mul : ∀ (x y : HNNExtension G A B φ), motive x → motive y → motive (x * y)
inv : ∀ (x : HNNExtension G A B φ), motive x → motive x⁻¹
S : Subgroup (HNNExtension G A B φ) := { carrier := Set.ofPred motive, mul_mem' := ⋯, one_mem' := ⋯, inv_mem' := ⋯ }
f : HNNExtension G A B φ →* ↥S := lift (HNNExtension.of.codRestrict S of) ⟨HNNExtension.t, t⟩ ⋯
hf : S.subtype.comp f = MonoidHom.id (HNNExtension G A B φ)
⊢ motive x
Module: Mathlib.GroupTheory.IsSubnormal

Goal state before:
pp: G : Type u_1
inst✝ : Group G
H : Subgroup G
hG : IsSimpleGroup G
hN : H.IsSubnormal
⊢ H.Normal

Tactic:
induction hN with

Goal state after:
Module: Mathlib.GroupTheory.HNNExtension

Goal state before:
pp: G : Type u_1
inst✝² : Group G
A B : Subgroup G
φ : ↥A ≃* ↥B
H : Type u_2
inst✝¹ : Group H
M : Type u_3
inst✝ : Monoid M
d : TransversalPair G A B
⊢ ∀ (x y : G) (b : NormalWord d), (x * y) • b = x • y • b

Tactic:
by simp +instances [instHSMul, mul_assoc]

Goal state after:
Module: Mathlib.GroupTheory.IsSubnormal

Goal state before:
pp: G : Type u_1
inst✝ : Group G
H : Subgroup G
hN : H.IsSubnormal
ne_top : H ≠ ⊤
⊢ ∃ K, K.Normal ∧ H ≤ K ∧ K < ⊤

Tactic:
induction hN with

Goal state after:
Module: Mathlib.GroupTheory.Perm.Centralizer

Goal state before:
pp: case inl.hx
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
a : g.Basis
τ : ↥(range_toPermHom' g)
x : α
j : ℤ
hx : x ∈ Function.fixedPoints ⇑g
⊢ (g ^ j) x ∈ Function.fixedPoints ⇑g

Tactic:
rw [Function.mem_fixedPoints_iff]

Goal state after:
case inl.hx
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
a : g.Basis
τ : ↥(range_toPermHom' g)
x : α
j : ℤ
hx : x ∈ Function.fixedPoints ⇑g
⊢ g ((g ^ j) x) = (g ^ j) x
Module: Mathlib.GroupTheory.Perm.ClosureSwap

Goal state before:
pp: case pos
α : Type u_2
inst✝ : DecidableEq α
S : Set (Equiv.Perm α)
hS : ∀ f ∈ S, f.IsSwap
supp : Set α
fin : supp.Finite
a : α
s : Set α
ih : ∀ {f : Equiv.Perm α}, (∀ (x : α), f x ∈ orbit (↥(closure S)) x) → (fixedBy α f)ᶜ ⊆ s → f ∈ closure S
f : Equiv.Perm α
hf : ∀ (x : α), f x ∈ orbit (↥(closure S)) x
supp_subset : (fixedBy α f)ᶜ ⊆ insert a s
b : α
hb : b ∉ s
hb' : f b = b
⊢ (if b = a then a else if f b = a then f a else f b) = b

pp: case neg
α : Type u_2
inst✝ : DecidableEq α
S : Set (Equiv.Perm α)
hS : ∀ f ∈ S, f.IsSwap
supp : Set α
fin : supp.Finite
a : α
s : Set α
ih : ∀ {f : Equiv.Perm α}, (∀ (x : α), f x ∈ orbit (↥(closure S)) x) → (fixedBy α f)ᶜ ⊆ s → f ∈ closure S
f : Equiv.Perm α
hf : ∀ (x : α), f x ∈ orbit (↥(closure S)) x
supp_subset : (fixedBy α f)ᶜ ⊆ insert a s
b : α
hb : b ∉ s
hb' : ¬f b = b
⊢ (if b = a then a else if f b = a then f a else f b) = b

Tactic:
· rw [hb']; split_ifs with h <;> simp only [h]

Goal state after:
case neg
α : Type u_2
inst✝ : DecidableEq α
S : Set (Equiv.Perm α)
hS : ∀ f ∈ S, f.IsSwap
supp : Set α
fin : supp.Finite
a : α
s : Set α
ih : ∀ {f : Equiv.Perm α}, (∀ (x : α), f x ∈ orbit (↥(closure S)) x) → (fixedBy α f)ᶜ ⊆ s → f ∈ closure S
f : Equiv.Perm α
hf : ∀ (x : α), f x ∈ orbit (↥(closure S)) x
supp_subset : (fixedBy α f)ᶜ ⊆ insert a s
b : α
hb : b ∉ s
hb' : ¬f b = b
⊢ (if b = a then a else if f b = a then f a else f b) = b
Module: Mathlib.GroupTheory.Perm.Centralizer

Goal state before:
pp: case neg
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
u : Perm ↑(Function.fixedPoints ⇑g)
v : (c : ↥g.cycleFactorsFinset) → ↥(zpowers ↑c)
x : α
hx : g.cycleOf x ∉ g.cycleFactorsFinset
⊢ ((kerParam g) (u, v)) x = (ofSubtype u) x

Tactic:
rw [cycleOf_mem_cycleFactorsFinset_iff] at hx

Goal state after:
case neg
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
u : Perm ↑(Function.fixedPoints ⇑g)
v : (c : ↥g.cycleFactorsFinset) → ↥(zpowers ↑c)
x : α
hx : x ∉ g.support
⊢ ((kerParam g) (u, v)) x = (ofSubtype u) x
Module: Mathlib.GroupTheory.PushoutI

Goal state before:
pp: ι : Type u_1
G : ι → Type u_2
H : Type u_3
K : Type u_4
inst✝² : Monoid K
inst✝¹ : (i : ι) → Group (G i)
inst✝ : Group H
φ : (i : ι) → H →* G i
d : Transversal φ
⊢ ∀ (x y : H) (b : NormalWord d), (x * y) • b = x • y • b

Tactic:
by simp +instances [instHSMul, mul_assoc]

Goal state after:
Module: Mathlib.GroupTheory.Perm.Centralizer

Goal state before:
pp: case a.left
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
a : Perm ↑(Function.fixedPoints ⇑g)
⊢ ofSubtype a ∈ map (centralizer {g}).subtype (toPermHom g).ker

Tactic:
refine ⟨⟨ofSubtype a, ?_⟩, ?_, rfl⟩

Goal state after:
case a.left.refine_1
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
a : Perm ↑(Function.fixedPoints ⇑g)
⊢ ofSubtype a ∈ centralizer {g}

case a.left.refine_2
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
a : Perm ↑(Function.fixedPoints ⇑g)
⊢ ⟨ofSubtype a, ?a.left.refine_1✝⟩ ∈ ↑(toPermHom g).ker
Module: Mathlib.GroupTheory.Perm.Centralizer

Goal state before:
pp: case a.right
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
i : ↥g.cycleFactorsFinset
⊢ ↑i ∈ map (centralizer {g}).subtype (toPermHom g).ker

Tactic:
refine ⟨⟨i, mem_centralizer_singleton_iff.mpr (self_mem_cycle_factors_commute i.2)⟩, ?_, rfl⟩

Goal state after:
case a.right
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
i : ↥g.cycleFactorsFinset
⊢ ⟨↑i, ⋯⟩ ∈ ↑(toPermHom g).ker
Module: Mathlib.GroupTheory.Perm.Centralizer

Goal state before:
pp: case e'_2
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g : Perm α
⊢ {h | IsConj g h} = orbit (ConjAct (Perm α)) g

Tactic:
ext h

Goal state after:
case e'_2
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
g h : Perm α
⊢ h ∈ {h | IsConj g h} ↔ h ∈ orbit (ConjAct (Perm α)) g
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.KleinFour

Goal state before:
pp: α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
S : Sylow 2 ↥(alternatingGroup α)
this : 12 = 2 ^ 2 * 3
⊢ 2 ^ ((2 • ⇑(Nat.factorization 2)) 2 + (Nat.factorization 3) 2) = 4

Tactic:
Pi.smul_apply,

Goal state after:
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
S : Sylow 2 ↥(alternatingGroup α)
this : 12 = 2 ^ 2 * 3
⊢ 2 ^ (2 • (Nat.factorization 2) 2 + (Nat.factorization 3) 2) = 4
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.Centralizer

Goal state before:
pp: case e'_2
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
g : Perm α
h_odd : ∀ c ∈ g.cycleType, Odd c
h_fixed : Fintype.card α ≤ g.cycleType.sum + 1
h_count : ∀ (i : ℕ), Multiset.count i g.cycleType ≤ 1
y : Perm ↑(Function.fixedPoints ⇑g)
uv : (c : ↥g.cycleFactorsFinset) → ↥(Subgroup.zpowers ↑c)
hx : (kerParam g) (y, uv) ∈ (kerParam g).range
c : Perm α
hc : c ∈ g.cycleFactorsFinset
a✝ : ⟨c, hc⟩ ∈ univ
k : ℤ
hk : (fun x ↦ ↑⟨c, hc⟩ ^ x) k = ↑(uv ⟨c, hc⟩)
⊢ sign ↑⟨c, hc⟩ = 1

Tactic:
IsCycle.sign,

Goal state after:
case e'_2
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
g : Perm α
h_odd : ∀ c ∈ g.cycleType, Odd c
h_fixed : Fintype.card α ≤ g.cycleType.sum + 1
h_count : ∀ (i : ℕ), Multiset.count i g.cycleType ≤ 1
y : Perm ↑(Function.fixedPoints ⇑g)
uv : (c : ↥g.cycleFactorsFinset) → ↥(Subgroup.zpowers ↑c)
hx : (kerParam g) (y, uv) ∈ (kerParam g).range
c : Perm α
hc : c ∈ g.cycleFactorsFinset
a✝ : ⟨c, hc⟩ ∈ univ
k : ℤ
hk : (fun x ↦ ↑⟨c, hc⟩ ^ x) k = ↑(uv ⟨c, hc⟩)
⊢ -(-1) ^ #(↑⟨c, hc⟩).support = 1

case e'_2
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
g : Perm α
h_odd : ∀ c ∈ g.cycleType, Odd c
h_fixed : Fintype.card α ≤ g.cycleType.sum + 1
h_count : ∀ (i : ℕ), Multiset.count i g.cycleType ≤ 1
y : Perm ↑(Function.fixedPoints ⇑g)
uv : (c : ↥g.cycleFactorsFinset) → ↥(Subgroup.zpowers ↑c)
hx : (kerParam g) (y, uv) ∈ (kerParam g).range
c : Perm α
hc : c ∈ g.cycleFactorsFinset
a✝ : ⟨c, hc⟩ ∈ univ
k : ℤ
hk : (fun x ↦ ↑⟨c, hc⟩ ^ x) k = ↑(uv ⟨c, hc⟩)
⊢ (↑⟨c, hc⟩).IsCycle
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.KleinFour

Goal state before:
pp: α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
⊢ ↑(kleinFour α) = {1} ∪ {g | (↑g).cycleType = {2, 2}}

Tactic:
by
  obtain ⟨S : Sylow 2 (alternatingGroup α)⟩ := Sylow.nonempty (G := alternatingGroup α)
  rw [← two_sylow_eq_kleinFour_of_card_eq_four hα4 S]
  exact coe_two_sylow_of_card_eq_four hα4 S

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
⊢ Subgroup.map (alternatingGroup α).subtype (_root_.commutator ↥(alternatingGroup α)) = alternatingGroup α

Tactic:
commutator_alternatingGroup_eq_top h5,

Goal state after:
α : Type u_1
inst✝¹ : Fintype α
inst✝ : DecidableEq α
h5 : 5 ≤ Nat.card α
⊢ Subgroup.map (alternatingGroup α).subtype ⊤ = alternatingGroup α
Module: Mathlib.GroupTheory.SpecificGroups.Quaternion

Goal state before:
pp: case inr
n : ℕ
hn : NeZero n
h : orderOf (a 1) < 2 * n
h2 : orderOf (a 1) = 0
⊢ False

Tactic:
exact absurd h2.symm (orderOf_pos _).ne

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

Goal state before:
pp: G : Type u_1
G' : Type u_2
G'' : Type u_3
inst✝⁴ : Group G
inst✝³ : Group G'
inst✝² : Group G''
f : G →* G'
f' : G' →* G''
inst✝¹ : Finite G
inst✝ : IsZGroup G
hG : Group.IsNilpotent G
⊢ IsCyclic G

Tactic:
by
  have (p : { x // x ∈ (Nat.card G).primeFactors }) : Fact p.1.Prime :=
    ⟨Nat.prime_of_mem_primeFactors p.2⟩
  obtain ⟨ϕ⟩ := ((Group.isNilpotent_of_finite_tfae (G := G)).out 0 4).mp hG
  let _ : CommGroup G :=
    ⟨fun g h ↦ by rw [← ϕ.symm.injective.eq_iff, map_mul, mul_comm, ← map_mul]⟩
  exact IsCyclic.of_exponent_eq_card (exponent_eq_card G)

Goal state after:
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 j : ι
hij : i ≠ j
x : PushoutI φ
g₁ : G i
hg₁ : (of i) g₁ = x
g₂ : G j
hg₂ : (of j) g₂ = x
hx : ¬x ∈ (base φ).range
hx1 : x ≠ 1
hg₁1 : g₁ ≠ 1
⊢ False

Tactic:
have hg₂1 : g₂ ≠ 1 :=
        ne_of_apply_ne (of (φ := φ) j) (by simp_all)

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 j : ι
hij : i ≠ j
x : PushoutI φ
g₁ : G i
hg₁ : (of i) g₁ = x
g₂ : G j
hg₂ : (of j) g₂ = x
hx : ¬x ∈ (base φ).range
hx1 : x ≠ 1
hg₁1 : g₁ ≠ 1
hg₂1 : g₂ ≠ 1
⊢ False
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✝ κ η : Kernel α β
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
⊢ IsSFiniteKernel (κ + η)

Tactic:
refine ⟨⟨fun n => seq κ n + seq η n, fun n => inferInstance, ?_⟩⟩

Goal state after:
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ✝ η✝ κ η : Kernel α β
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
⊢ κ + η = Kernel.sum fun n ↦ κ.seq n + η.seq n
Module: Mathlib.Probability.Kernel.Basic

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
inst✝ : MeasurableSingletonClass α
f : α → ℝ≥0∞
a : α
⊢ ∫⁻ (a : α), f a ∂Kernel.id a = f a

Tactic:
rw [id_apply, lintegral_dirac]

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
f : β → ℝ≥0∞
μ : Measure β
a : α
⊢ ∫⁻ (x : β), f x ∂(const α μ) a = ∫⁻ (x : β), f x ∂μ

Tactic:
rw [const_apply]

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
f : β → ℝ≥0∞
μ : Measure β
a : α
s : Set β
⊢ ∫⁻ (x : β) in s, f x ∂(const α μ) a = ∫⁻ (x : β) in s, f x ∂μ

Tactic:
rw [const_apply]

Goal state after:
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✝ : Kernel α β
γ : Type u_4
mγ : MeasurableSpace γ
f : γ → β
κ : Kernel α β
hf : MeasurableEmbedding f
t : Set γ
ht : MeasurableSet t
a : α
⊢ ∀ (s : Set γ), MeasurableSet s → MeasurableSet (f '' s)

Tactic:
exact fun s' hs' ↦ hf.measurableSet_image.mpr hs'

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
γ : Type u_4
mγ : MeasurableSpace γ
κ : Kernel α (β × γ)
⊢ deterministic Prod.swap ⋯ ∘ₖ κ = κ.map Prod.swap

Tactic:
deterministic_comp_eq_map

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 × γ)
⊢ κ.map Prod.swap = κ.map Prod.swap
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
⊢ IsSFiniteKernel (prodMkLeft γ κ) ↔ IsSFiniteKernel κ

Tactic:
inhabit γ
  refine ⟨fun h ↦ ?_, fun _ ↦ inferInstance⟩
  rw [← sectR_prodMkLeft γ κ default]
  infer_instance

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

Goal state before:
pp: case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ ν : Measure α
κ η : Kernel α β
inst✝¹ : SFinite ν
inst✝ : IsSFiniteKernel η
hμν : μ ≪ ν
hκη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
hμ : SFinite μ
s : Set (α × β)
hs : MeasurableSet s
hs_zero : (ν ⊗ₘ η) s = 0
⊢ (μ ⊗ₘ κ) s = 0

Tactic:
suffices (μ ⊗ₘ η) s = 0 from hκη this

Goal state after:
case pos
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ ν : Measure α
κ η : Kernel α β
inst✝¹ : SFinite ν
inst✝ : IsSFiniteKernel η
hμν : μ ≪ ν
hκη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
hμ : SFinite μ
s : Set (α × β)
hs : MeasurableSet s
hs_zero : (ν ⊗ₘ η) s = 0
⊢ (μ ⊗ₘ η) s = 0
Module: Mathlib.Probability.Kernel.Composition.MeasureComp

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure α
f : α → β
hf : AEMeasurable f μ
⊢ ⇑(Kernel.deterministic Function.diag ⋯) ∘ₘ map f μ = map (Function.prod f f) μ

Tactic:
deterministic_comp_eq_map

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure α
f : α → β
hf : AEMeasurable f μ
⊢ map Function.diag (map f μ) = map (Function.prod f f) μ
Module: Mathlib.Probability.Kernel.Composition.MeasureComp

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : SFinite μ
⊢ map Function.diag μ = ⇑(Kernel.deterministic Function.diag ⋯) ∘ₘ μ

Tactic:
deterministic_comp_eq_map

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : SFinite μ
⊢ map Function.diag μ = map Function.diag μ
Module: Mathlib.Probability.Kernel.Composition.Prod

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
γ : Type u_4
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel α γ
inst✝¹ : IsSFiniteKernel η
ξ : Kernel α δ
inst✝ : IsSFiniteKernel ξ
a : α
⊢ Measure.map (⇑MeasurableEquiv.prodAssoc) (((κ a).prod (ξ a)).prod (η a)) = (κ ×ₖ (ξ ×ₖ η)) a

Tactic:
Measure.prodAssoc_prod,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
γ : Type u_4
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝² : IsSFiniteKernel κ
η : Kernel α γ
inst✝¹ : IsSFiniteKernel η
ξ : Kernel α δ
inst✝ : IsSFiniteKernel ξ
a : α
⊢ (κ a).prod ((ξ a).prod (η a)) = (κ ×ₖ (ξ ×ₖ η)) a
Module: Mathlib.Probability.Kernel.Composition.MeasureComp

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure α
inst✝ : SFinite μ
f : α → β
hf : Measurable f
⊢ ⇑(Kernel.deterministic (fun a ↦ (id a, f a)) ⋯) ∘ₘ μ = map (fun a ↦ (a, f a)) μ

Tactic:
deterministic_comp_eq_map

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
μ : Measure α
inst✝ : SFinite μ
f : α → β
hf : Measurable f
⊢ map (fun a ↦ (id a, f a)) μ = map (fun a ↦ (a, f a)) μ
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
h1 : μ'.rnDeriv ν' x = ((ν univ)⁻¹ • μ.rnDeriv ν') x
h2 : μ.rnDeriv ν' x = ((ν univ)⁻¹⁻¹ • μ.rnDeriv ν) x
⊢ ((ν univ)⁻¹ • μ.rnDeriv ν') x = μ.rnDeriv ν x

Tactic:
Pi.smul_apply,

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
h2 : μ.rnDeriv ν' x = ((ν univ)⁻¹⁻¹ • μ.rnDeriv ν) x
⊢ (ν univ)⁻¹ • 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
ι : Type u_4
inst✝¹ : Countable ι
κ : Kernel α β
η : ι → Kernel (α × β) γ
inst✝ : ∀ (i : ι), IsSFiniteKernel (η i)
hκ : IsSFiniteKernel κ
a : α
s : Set (β × γ)
hs : MeasurableSet s
⊢ ∀ (i : ι), AEMeasurable (fun b ↦ ((η i) (a, b)) (Prod.mk b ⁻¹' s)) (κ a)

Tactic:
· exact fun _ ↦ (measurable_kernel_prodMk_left' hs a).aemeasurable

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

Goal state before:
pp: case hx
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : (c • μ).rnDeriv ν =ᵐ[ν] c • μ.rnDeriv ν
x : α
hx_eq : (c • μ).rnDeriv ν x = (c • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ c.toReal ≠ 0

pp: case hy
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : (c • μ).rnDeriv ν =ᵐ[ν] c • μ.rnDeriv ν
x : α
hx_eq : (c • μ).rnDeriv ν x = (c • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ (μ.rnDeriv ν x).toReal ≠ 0

pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : (c • μ).rnDeriv ν =ᵐ[ν] c • μ.rnDeriv ν
x : α
hx_eq : (c • μ).rnDeriv ν x = (c • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ log c.toReal + log (μ.rnDeriv ν x).toReal = log (μ.rnDeriv ν x).toReal + log c.toReal

Tactic:
· rw [ENNReal.toReal_ne_zero]
    simp [hc, hc_ne_top]

Goal state after:
case hy
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : (c • μ).rnDeriv ν =ᵐ[ν] c • μ.rnDeriv ν
x : α
hx_eq : (c • μ).rnDeriv ν x = (c • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ (μ.rnDeriv ν x).toReal ≠ 0

α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : (c • μ).rnDeriv ν =ᵐ[ν] c • μ.rnDeriv ν
x : α
hx_eq : (c • μ).rnDeriv ν x = (c • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ log c.toReal + log (μ.rnDeriv ν x).toReal = log (μ.rnDeriv ν x).toReal + log c.toReal
Module: Mathlib.MeasureTheory.Measure.LogLikelihoodRatio

Goal state before:
pp: case hx
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : μ.rnDeriv (c • ν) =ᵐ[ν] c⁻¹ • μ.rnDeriv ν
x : α
hx_eq : μ.rnDeriv (c • ν) x = (c⁻¹ • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ c⁻¹.toReal ≠ 0

pp: case hy
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : μ.rnDeriv (c • ν) =ᵐ[ν] c⁻¹ • μ.rnDeriv ν
x : α
hx_eq : μ.rnDeriv (c • ν) x = (c⁻¹ • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ (μ.rnDeriv ν x).toReal ≠ 0

pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : μ.rnDeriv (c • ν) =ᵐ[ν] c⁻¹ • μ.rnDeriv ν
x : α
hx_eq : μ.rnDeriv (c • ν) x = (c⁻¹ • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ log c⁻¹.toReal + log (μ.rnDeriv ν x).toReal = log (μ.rnDeriv ν x).toReal - log c.toReal

Tactic:
· rw [ENNReal.toReal_ne_zero]
    simp [hc, hc_ne_top]

Goal state after:
case hy
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : μ.rnDeriv (c • ν) =ᵐ[ν] c⁻¹ • μ.rnDeriv ν
x : α
hx_eq : μ.rnDeriv (c • ν) x = (c⁻¹ • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ (μ.rnDeriv ν x).toReal ≠ 0

α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : μ.HaveLebesgueDecomposition ν
hμν : μ ≪ ν
c : ℝ≥0∞
hc : c ≠ 0
hc_ne_top : c ≠ ∞
h : μ.rnDeriv (c • ν) =ᵐ[ν] c⁻¹ • μ.rnDeriv ν
x : α
hx_eq : μ.rnDeriv (c • ν) x = (c⁻¹ • μ.rnDeriv ν) x
hx_pos : 0 < μ.rnDeriv ν x
hx_ne_top : μ.rnDeriv ν x < ∞
⊢ log c⁻¹.toReal + log (μ.rnDeriv ν x).toReal = log (μ.rnDeriv ν x).toReal - log c.toReal
Module: Mathlib.MeasureTheory.Measure.LogLikelihoodRatio

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
f : α → ℝ
inst✝¹ : IsProbabilityMeasure μ
inst✝ : SigmaFinite ν
hμν : μ ≪ ν
hfμ : Integrable f μ
hfν : Integrable (fun x ↦ rexp (f x)) ν
h_int : Integrable (llr μ ν) μ
⊢ ∫ (x : α), -f x + log (∫ (x : α), rexp (f x) ∂ν) + llr μ ν x ∂μ =
    -∫ (x : α), f x ∂μ + log (∫ (x : α), rexp (f x) ∂ν) + ∫ (x : α), llr μ ν x ∂μ

Tactic:
← integral_neg,

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
f : α → ℝ
inst✝¹ : IsProbabilityMeasure μ
inst✝ : SigmaFinite ν
hμν : μ ≪ ν
hfμ : Integrable f μ
hfν : Integrable (fun x ↦ rexp (f x)) ν
h_int : Integrable (llr μ ν) μ
⊢ ∫ (x : α), -f x + log (∫ (x : α), rexp (f x) ∂ν) + llr μ ν x ∂μ =
    ∫ (a : α), -f a ∂μ + log (∫ (x : α), rexp (f x) ∂ν) + ∫ (x : α), llr μ ν x ∂μ