mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.KleinFour

Goal state before:
pp: case «4»
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
g : Perm α
n : ℕ
hg : orderOf g ∣ 2 ^ n
k : ℕ
hk : 4 ∈ g.cycleType
hk4 : 4 ≤ 4
hk1 : 1 < 4
hg0 : 4 ≠ 2
t : Multiset ℕ
h1 : t = Multiset.replicate t.card 0
ht : g.cycleType = 4 ::ₘ t
⊢ (-1) ^ (g.cycleType.sum + g.cycleType.card) ≠ 1

Tactic:
have h : 0 ∉ g.cycleType := Nat.not_succ_lt_self ∘ one_lt_of_mem_cycleType

Goal state after:
case «4»
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
g : Perm α
n : ℕ
hg : orderOf g ∣ 2 ^ n
k : ℕ
hk : 4 ∈ g.cycleType
hk4 : 4 ≤ 4
hk1 : 1 < 4
hg0 : 4 ≠ 2
t : Multiset ℕ
h1 : t = Multiset.replicate t.card 0
ht : g.cycleType = 4 ::ₘ t
h : 0 ∉ g.cycleType
⊢ (-1) ^ (g.cycleType.sum + g.cycleType.card) ≠ 1
Module: Mathlib.GroupTheory.SpecificGroups.Alternating.KleinFour

Goal state before:
pp: case refine_2
α : Type u_1
inst✝¹ : DecidableEq α
inst✝ : Fintype α
hα4 : Nat.card α = 4
S : Sylow 2 ↥(alternatingGroup α)
⊢ Fintype.card ↑({1} ∪ {g | (↑g).cycleType = {2, 2}}) ≤ Fintype.card ↑↑S

Tactic:
· -- card (kleinFour α) ≤ card S
    simp_rw [← Nat.card_eq_fintype_card]
    refine (card_two_sylow_of_card_eq_four hα4 S).trans_ge ?_
    rw [Nat.card_eq_card_toFinset, Set.toFinset_union, Set.toFinset_singleton, Set.toFinset_ofPred]
    apply (Finset.card_union_le _ _).trans
    rw [Finset.card_singleton, AlternatingGroup.card_of_cycleType, ← Nat.card_eq_fintype_card, hα4]
    decide

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

Goal state before:
pp: case refine_2
α : Type u_1
inst✝² : DecidableEq α
inst✝¹ : Fintype α
hα : 5 ≤ Nat.card α
hα' : Nat.card α ≠ 6
N : Subgroup ↥(alternatingGroup α)
inst✝ : N.Normal
hN : Nontrivial ↥N
⊢ Nat.card α ≠ 2 * 3

Tactic:
simpa using hα'

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

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
h : IsFiniteKernel κ
⊢ κ.bound < ∞

Tactic:
by
  obtain ⟨C, hC, hle⟩ := h.exists_univ_le
  refine lt_of_le_of_lt ?_ hC
  simp [bound, hle]

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 : α → β
hf : Measurable f
a : α
s : Set β
hs : MeasurableSet s
⊢ ((deterministic f hf) a) s = s.indicator (fun x ↦ 1) (f a)

Tactic:
rw [deterministic]
  change Measure.dirac (f a) s = s.indicator 1 (f a)
  simp_rw [Measure.dirac_apply' _ hs]

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
μ ν : Measure α
inst✝¹ : IsProbabilityMeasure μ
inst✝ : IsProbabilityMeasure ν
b : Bool
⊢ IsProbabilityMeasure ((boolKernel μ ν) b)

Tactic:
cases b
      <;> simp only [boolKernel_apply, Bool.false_eq_true, ↓reduceIte]

Goal state after:
case false
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
μ ν : Measure α
inst✝¹ : IsProbabilityMeasure μ
inst✝ : IsProbabilityMeasure ν
⊢ IsProbabilityMeasure μ

case true
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
μ ν : Measure α
inst✝¹ : IsProbabilityMeasure μ
inst✝ : IsProbabilityMeasure ν
⊢ IsProbabilityMeasure ν
Module: Mathlib.Probability.Kernel.Composition.MapComap

Goal state before:
pp: case pos.inl
α : Type u_1
β : Type u_2
γ✝ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ✝ : MeasurableSpace γ✝
γ : Type u_4
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
f✝ : β → γ
g : γ → α
f : β → γ
hf : Measurable f
inst✝ : IsZeroOrMarkovKernel 0
⊢ IsZeroOrMarkovKernel (Kernel.map 0 f)

pp: case pos.inr
α : Type u_1
β : Type u_2
γ✝ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ✝ : MeasurableSpace γ✝
γ : Type u_4
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
f✝ : β → γ
g : γ → α
κ : Kernel α β
inst✝ : IsZeroOrMarkovKernel κ
f : β → γ
hf : Measurable f
h : IsMarkovKernel κ
⊢ IsZeroOrMarkovKernel (κ.map f)

Tactic:
· simp only [map_zero]; infer_instance

Goal state after:
case pos.inr
α : Type u_1
β : Type u_2
γ✝ : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ✝ : MeasurableSpace γ✝
γ : Type u_4
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
f✝ : β → γ
g : γ → α
κ : Kernel α β
inst✝ : IsZeroOrMarkovKernel κ
f : β → γ
hf : Measurable f
h : IsMarkovKernel κ
⊢ IsZeroOrMarkovKernel (κ.map f)
Module: Mathlib.Probability.Kernel.Composition.ParallelComp

Goal state before:
pp: α : Type u_1
β : Type u_2
γ : Type u_3
δ : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
κ : Kernel α β
η : Kernel γ δ
x : α × γ
⊢ IsSFiniteKernel (κ ∥ₖ η)

Tactic:
by
  by_cases h : IsSFiniteKernel κ
  swap
  · simp only [h, not_false_eq_true, parallelComp_of_not_isSFiniteKernel_left]
    infer_instance
  by_cases h : IsSFiniteKernel η
  swap
  · simp only [h, not_false_eq_true, parallelComp_of_not_isSFiniteKernel_right]
    infer_instance
  simp_rw [← kernel_sum_seq κ, ← kernel_sum_seq η, parallelComp_sum_left, parallelComp_sum_right]
  infer_instance

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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝ : IsMarkovKernel κ
⊢ IsMarkovKernel (Kernel.prodMkLeft γ κ)

Tactic:
rw [Kernel.prodMkLeft]; infer_instance

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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝ : IsZeroOrMarkovKernel κ
⊢ IsZeroOrMarkovKernel (Kernel.prodMkLeft γ κ)

Tactic:
rw [Kernel.prodMkLeft]; infer_instance

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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝ : IsFiniteKernel κ
⊢ IsFiniteKernel (Kernel.prodMkLeft γ κ)

Tactic:
rw [Kernel.prodMkLeft]; infer_instance

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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α β
inst✝ : IsSFiniteKernel κ
⊢ IsSFiniteKernel (Kernel.prodMkLeft γ κ)

Tactic:
rw [Kernel.prodMkLeft]; infer_instance

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
κ : Kernel α β
η : Kernel (α × β) γ
inst✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
a✝ : α
s : Set β
t : Set γ
hs : MeasurableSet s
ht : MeasurableSet t
a : β
⊢ (η (a✝, a)) (Prod.mk a ⁻¹' s ×ˢ t) = s.indicator (fun b ↦ (η (a✝, b)) t) a

Tactic:
by_cases ha : a ∈ s <;> simp [ha]

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

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
κ : Kernel (α × β) γ
⊢ 0 ⊗ₖ κ = 0

Tactic:
by_cases h : IsSFiniteKernel κ
  · ext a s hs
    rw [Kernel.compProd_apply hs]
    simp
  · rw [Kernel.compProd_of_not_isSFiniteKernel_right _ _ h]

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

Goal state before:
pp: case refine_1.refine_2
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✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
h : κ ⊗ₖ η = 0
a : α
⊢ ∫⁻ (a_1 : β), (η (a, a_1)) Set.univ ∂κ a = 0

Tactic:
rw [← setLIntegral_univ, ← Kernel.compProd_apply_prod .univ .univ, h]

Goal state after:
case refine_1.refine_2
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✝¹ : IsSFiniteKernel κ
inst✝ : IsSFiniteKernel η
h : κ ⊗ₖ η = 0
a : α
⊢ (0 a) (Set.univ ×ˢ Set.univ) = 0
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
⊢ μ'.rnDeriv ν' x = μ.rnDeriv ν x

Tactic:
rw [h1, Pi.smul_apply, smul_eq_mul, h2]

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 * ((ν univ)⁻¹⁻¹ • μ.rnDeriv ν) x = μ.rnDeriv ν x
Module: Mathlib.Probability.Kernel.Composition.IntegralCompProd

Goal state before:
pp: 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

pp: 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}

pp: 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

Tactic:
· intro f g _ i_f i_g hf hg
    simp_rw [integral_add' i_f i_g, Kernel.integral_integral_add' i_f i_g, hf, hg]

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

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
κ : Kernel α β
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
⊢ swap γ β ∘ₖ (η ∥ₖ Kernel.id) ∘ₖ deterministic ⇑MeasurableEquiv.prodAssoc.symm ⋯ ∘ₖ (Kernel.id ∥ₖ copy β) ∘ₖ
        (Kernel.id ∥ₖ κ) ∘ₖ
      copy α =
    Kernel.sum fun n ↦
      swap γ β ∘ₖ (η.seq n ∥ₖ Kernel.id) ∘ₖ deterministic ⇑MeasurableEquiv.prodAssoc.symm ⋯ ∘ₖ (Kernel.id ∥ₖ copy β) ∘ₖ
          (Kernel.id ∥ₖ κ) ∘ₖ
        copy α

Tactic:
rw [← comp_sum_left, ← comp_sum_left, ← comp_sum_left, ← comp_sum_left, ← comp_sum_right,
    ← parallelComp_sum_left, kernel_sum_seq]

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

Goal state before:
pp: case pos
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝ : SigmaFinite μ
x : α
hx : μ.rnDeriv ν x < ∞
h_zero : μ.rnDeriv ν x = 0
⊢ rexp (llr μ ν x) = if μ.rnDeriv ν x = 0 then 1 else (μ.rnDeriv ν x).toReal

pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝ : SigmaFinite μ
x : α
hx : μ.rnDeriv ν x < ∞
h_zero : ¬μ.rnDeriv ν x = 0
⊢ rexp (llr μ ν x) = if μ.rnDeriv ν x = 0 then 1 else (μ.rnDeriv ν x).toReal

Tactic:
· simp only [llr, h_zero, ENNReal.toReal_zero, log_zero, exp_zero, ite_true]

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝ : SigmaFinite μ
x : α
hx : μ.rnDeriv ν x < ∞
h_zero : ¬μ.rnDeriv ν x = 0
⊢ rexp (llr μ ν x) = if μ.rnDeriv ν x = 0 then 1 else (μ.rnDeriv ν x).toReal
Module: Mathlib.MeasureTheory.Measure.Tilted

Goal state before:
pp: case inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f : α → ℝ
hf : Integrable (fun x ↦ rexp (f x)) μ
g : α → ℝ
h0 : NeZero μ
⊢ (μ.tilted f).tilted g = μ.tilted (f + g)

Tactic:
ext1 s hs
    rw [tilted_apply' _ _ hs, tilted_apply' _ _ hs, setLIntegral_tilted' f _ hs]
    congr with x
    rw [← ENNReal.ofReal_mul (by positivity),
      integral_exp_tilted f, Pi.add_apply, exp_add]
    congr 1
    simp only [Pi.add_apply]
    have := (integral_exp_pos hf).ne'
    simp [field]

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

Goal state before:
pp: case e'_3
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✝¹ : NormedAddCommGroup E
a : α
κ : Kernel α β
η : Kernel β γ
inst✝ : NormedSpace ℝ E
f✝ : γ → E
hE : CompleteSpace E
f g : γ → E
hfg : f =ᵐ[(η ∘ₖ κ) a] g
hf : ∫ (z : γ), f z ∂(η ∘ₖ κ) a = ∫ (x : β), ∫ (y : γ), f y ∂η x ∂κ a
⊢ ∫ (x : β), ∫ (y : γ), g y ∂η x ∂κ a = ∫ (x : β), ∫ (y : γ), f y ∂η x ∂κ a

Tactic:
apply integral_congr_ae
      filter_upwards [ae_ae_of_ae_comp hfg] with x hfgx using integral_congr_ae (ae_eq_symm hfgx)

Goal state after:
Module: Mathlib.InformationTheory.KullbackLeibler.KLFun

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ ∫ (a : α), (μ.rnDeriv ν a).toReal * log (μ.rnDeriv ν a).toReal + 1 ∂ν - ∫ (a : α), (μ.rnDeriv ν a).toReal ∂ν =
    ∫ (x : α), llr μ ν x ∂μ + ν.real univ - μ.real univ

pp: case hf
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ (μ.rnDeriv ν x).toReal * log (μ.rnDeriv ν x).toReal + 1) ν

pp: case hg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ (μ.rnDeriv ν x).toReal) ν

Tactic:
integral_add,

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ ∫ (a : α), (μ.rnDeriv ν a).toReal * log (μ.rnDeriv ν a).toReal ∂ν + ∫ (a : α), 1 ∂ν -
      ∫ (a : α), (μ.rnDeriv ν a).toReal ∂ν =
    ∫ (x : α), llr μ ν x ∂μ + ν.real univ - μ.real univ

case hf
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun a ↦ (μ.rnDeriv ν a).toReal * log (μ.rnDeriv ν a).toReal) ν

case hg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun a ↦ 1) ν

case hf
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ (μ.rnDeriv ν x).toReal * log (μ.rnDeriv ν x).toReal + 1) ν

case hg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
⊢ Integrable (fun x ↦ (μ.rnDeriv ν x).toReal) ν
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ klDiv μ (c • ν) = ↑c * klDiv (c⁻¹ • μ) ν

Tactic:
klDiv_of_not_ac,

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ∞ = ↑c * klDiv (c⁻¹ • μ) ν

case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ¬μ ≪ c • ν
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ∞ = ↑c * klDiv (c⁻¹ • μ) ν

pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ¬μ ≪ c • ν

Tactic:
klDiv_of_not_ac,

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ∞ = ↑c * ∞

case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ¬c⁻¹ • μ ≪ ν

case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : c ≠ 0
hc' : ↑c ≠ 0
hμ_smul : μ = c • c⁻¹ • μ
hν_smul : ν = c⁻¹ • c • ν
hμν : ¬μ ≪ ν
⊢ ¬μ ≪ c • ν
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Unique

Goal state before:
pp: α : Type u_1
F' : Type u_3
m m0 : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
inst✝¹ : CompleteSpace F'
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f g : α → F'
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn f s μ
hg_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn g s μ
hfg_eq : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, f x ∂μ = ∫ (x : α) in s, g x ∂μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ Integrable (AEStronglyMeasurable.mk f hfm) ((μ.restrict s).trim hm)

Tactic:
refine Integrable.trim hm ?_ hfm.stronglyMeasurable_mk

Goal state after:
α : Type u_1
F' : Type u_3
m m0 : MeasurableSpace α
μ : Measure α
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
inst✝¹ : CompleteSpace F'
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f g : α → F'
hf_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn f s μ
hg_int_finite : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → IntegrableOn g s μ
hfg_eq : ∀ (s : Set α), MeasurableSet s → μ s < ∞ → ∫ (x : α) in s, f x ∂μ = ∫ (x : α) in s, g x ∂μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ Integrable (AEStronglyMeasurable.mk f hfm) (μ.restrict s)
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : ¬c = 0
hc' : ↑c ≠ 0
hμ_smul : ∀ (μ : Measure α), μ = c⁻¹ • c • μ
hμν : ¬μ ≪ ν
⊢ klDiv (c • μ) (c • ν) = ↑c * ∞

Tactic:
klDiv_of_not_ac,

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : ¬c = 0
hc' : ↑c ≠ 0
hμ_smul : ∀ (μ : Measure α), μ = c⁻¹ • c • μ
hμν : ¬μ ≪ ν
⊢ ∞ = ↑c * ∞

case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
c : ℝ≥0
hc : ¬c = 0
hc' : ↑c ≠ 0
hμ_smul : ∀ (μ : Measure α), μ = c⁻¹ • c • μ
hμν : ¬μ ≪ ν
⊢ ¬c • μ ≪ c • ν
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
E : Type u_2
𝕜 : Type u_7
inst✝³ : RCLike 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : InnerProductSpace 𝕜 E
inst✝ : CompleteSpace E
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
f : ↥(Lp E 2 μ)
⊢ (eLpNorm (↑↑↑((condExpL2 E 𝕜 hm) f)) 2 μ).toReal ≤ (eLpNorm (↑↑f) 2 μ).toReal

Tactic:
exact ENNReal.toReal_mono (Lp.eLpNorm_ne_top _) (eLpNorm_condExpL2_le hm f)

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

Goal state before:
pp: α : Type u_1
E : Type u_3
m m₀ : MeasurableSpace α
μ : Measure α
f : α → E
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
hm_not : ¬m ≤ m₀
⊢ μ[f | m] = 0

Tactic:
rw [condExp, dif_neg hm_not]

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

Goal state before:
pp: α : Type u_1
E : Type u_2
m m0 : MeasurableSpace α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedSpace ℝ E
inst✝ : CompleteSpace E
μ : Measure α
f : α → E
s : Set α
hf_int : Integrable f μ
hs : MeasurableSet s
hm : m ≤ m0
hμm this✝ : SigmaFinite (μ.trim hm)
this : s.indicator μ[f | m] =ᵐ[μ] s.indicator μ[s.indicator f + sᶜ.indicator f | m]
x : α
hx : μ[s.indicator f + sᶜ.indicator f | m] x = (μ[s.indicator f | m] + μ[sᶜ.indicator f | m]) x
⊢ s.indicator μ[s.indicator f + sᶜ.indicator f | m] x = s.indicator (μ[s.indicator f | m] + μ[sᶜ.indicator f | m]) x

Tactic:
rw [Set.indicator_apply, Set.indicator_apply, hx]

Goal state after: