mathlib-initiative/mathlib-tactics huggingface dataset:
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a✝ : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
a : β
⊢ ∫⁻ (c : γ), ⨆ n, (F n) (a, c) ∂η (a✝, a) = ⨆ n, ∫⁻ (c : γ), (F n) (a, c) ∂η (a✝, a)

Tactic:
lintegral_iSup

Goal state after:
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a✝ : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
a : β
⊢ ⨆ n, ∫⁻ (a_1 : γ), (F n) (a, a_1) ∂η (a✝, a) = ⨆ n, ∫⁻ (c : γ), (F n) (a, c) ∂η (a✝, a)

case hf
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a✝ : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
a : β
⊢ ∀ (n : ℕ), Measurable fun c ↦ (F n) (a, c)

case h_mono
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a✝ : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
a : β
⊢ Monotone fun n c ↦ (F n) (a, c)
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
⊢ ⨆ n, ∫⁻ (a : β × γ), (F n) a ∂(κ ⊗ₖ η) a = ∫⁻ (b : β), ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b) ∂κ a

Tactic:
lintegral_iSup

Goal state after:
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
⊢ ⨆ n, ∫⁻ (a : β × γ), (F n) a ∂(κ ⊗ₖ η) a = ⨆ n, ∫⁻ (a_1 : β), ∫⁻ (c : γ), (F n) (a_1, c) ∂η (a, a_1) ∂κ a

case hf
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
⊢ ∀ (n : ℕ), Measurable fun b ↦ ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)

case h_mono
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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
⊢ Monotone fun n b ↦ ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
Module: Mathlib.Probability.Kernel.Composition.CompProd

Goal state before:
pp: case 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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f✝ : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f✝)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f✝)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f✝ a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
n : ℕ
f f' : SimpleFunc (β × γ) ℝ≥0∞
a✝ : Disjoint (Function.support ⇑f) (Function.support ⇑f')
hf_eq : ∫⁻ (a : β × γ), f a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), f (a_1, c) ∂η (a, a_1) ∂κ a
hf'_eq : ∫⁻ (a : β × γ), f' a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), f' (a_1, c) ∂η (a, a_1) ∂κ a
⊢ ∫⁻ (a : β × γ), (f + f') a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), (f + f') (a_1, c) ∂η (a, a_1) ∂κ a

Tactic:
simp_rw [SimpleFunc.coe_add, Pi.add_apply]

Goal state after:
case 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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f✝ : β → γ → ℝ≥0∞
hf : Measurable (Function.uncurry f✝)
F : ℕ → SimpleFunc (β × γ) ℝ≥0∞ := SimpleFunc.eapprox (Function.uncurry f✝)
h : ∀ (a : β) (b : γ), ⨆ n, (F n) (a, b) = f✝ a b
h_mono : Monotone F
this : ∀ (b : β), ∫⁻ (c : γ), ⨆ n, (F n) (b, c) ∂η (a, b) = ⨆ n, ∫⁻ (c : γ), (F n) (b, c) ∂η (a, b)
h_some_meas_integral : ∀ (f' : SimpleFunc (β × γ) ℝ≥0∞), Measurable fun b ↦ ∫⁻ (c : γ), f' (b, c) ∂η (a, b)
n : ℕ
f f' : SimpleFunc (β × γ) ℝ≥0∞
a✝ : Disjoint (Function.support ⇑f) (Function.support ⇑f')
hf_eq : ∫⁻ (a : β × γ), f a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), f (a_1, c) ∂η (a, a_1) ∂κ a
hf'_eq : ∫⁻ (a : β × γ), f' a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), f' (a_1, c) ∂η (a, a_1) ∂κ a
⊢ ∫⁻ (a : β × γ), f a + f' a ∂(κ ⊗ₖ η) a = ∫⁻ (a_1 : β), ∫⁻ (c : γ), f (a_1, c) + f' (a_1, c) ∂η (a, a_1) ∂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
inst✝ : IsSFiniteKernel κ
η : Kernel (α × β) γ
⊢ 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 =
    swap γ β ∘ₖ (η ∥ₖ Kernel.id) ∘ₖ deterministic ⇑MeasurableEquiv.prodAssoc.symm ⋯ ∘ₖ (Kernel.id ∥ₖ copy β) ∘ₖ
        (Kernel.id ∥ₖ Kernel.sum κ.seq) ∘ₖ
      copy α

Tactic:
kernel_sum_seq

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

Tactic:
kernel_sum_seq

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

Goal state before:
pp: 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
hf : AEStronglyMeasurable f ((η ∘ₖ κ) a)
⊢ (fun x ↦ ∫ (y : γ), f y ∂η x) =ᵐ[κ a] fun x ↦ ∫ (y : γ), AEStronglyMeasurable.mk f hf y ∂η x

Tactic:
filter_upwards [ae_ae_of_ae_comp hf.ae_eq_mk] with _ hx using integral_congr_ae hx

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

Goal state before:
pp: case refine_2
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
g : ↥(Lp E 1 ((η ∘ₖ κ) a))
⊢ (fun i ↦ ∫⁻ (x : β), ‖∫ (y : γ), ↑↑i y - ↑↑g y ∂η x‖ₑ ∂κ a) ≤ fun i ↦
    ∫⁻ (x : β), ∫⁻ (y : γ), ‖↑↑i y - ↑↑g y‖ₑ ∂η x ∂κ a

pp: case refine_1
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
g : ↥(Lp E 1 ((η ∘ₖ κ) a))
⊢ Tendsto (fun i ↦ ∫⁻ (x : β), ∫⁻ (y : γ), ‖↑↑i y - ↑↑g y‖ₑ ∂η x ∂κ a) (𝓝 g) (𝓝 0)

Tactic:
· exact fun _ ↦ lintegral_mono fun _ ↦ enorm_integral_le_lintegral_enorm _

Goal state after:
case refine_1
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
g : ↥(Lp E 1 ((η ∘ₖ κ) a))
⊢ Tendsto (fun i ↦ ∫⁻ (x : β), ∫⁻ (y : γ), ‖↑↑i y - ↑↑g y‖ₑ ∂η x ∂κ a) (𝓝 g) (𝓝 0)
Module: Mathlib.MeasureTheory.Measure.Tilted

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f : α → ℝ
hf : Integrable (fun x ↦ rexp (f x)) μ
⊢ (μ.tilted f).tilted (-f) = (μ Set.univ)⁻¹ • μ

Tactic:
by
  rw [tilted_tilted hf]; simp

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

Goal state before:
pp: ⊢ ¬DifferentiableAt ℝ (fun x ↦ x * log x + 1 - x) 0

Tactic:
simpa using not_DifferentiableAt_log_mul_zero

Goal state after:
Module: Mathlib.MeasureTheory.Function.LpSpace.CompleteOfCompleteLp

Goal state before:
pp: α : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp E p μ)
hf : f ≠ 0
hfne : ¬↑↑f =ᵐ[μ] 0
h'p : p < ∞
hp : p ≠ 0
h'f : AEFinStronglyMeasurable (↑↑f) μ
s : Set α
s_meas : MeasurableSet s
s_pos : 0 < μ s
s_top : μ s < ∞
hzero : indicatorConstLp p s_meas ⋯ 1 = 0
⊢ ‖indicatorConstLp p s_meas ⋯ 1‖ = ‖0‖

Tactic:
hzero

Goal state after:
α : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp E p μ)
hf : f ≠ 0
hfne : ¬↑↑f =ᵐ[μ] 0
h'p : p < ∞
hp : p ≠ 0
h'f : AEFinStronglyMeasurable (↑↑f) μ
s : Set α
s_meas : MeasurableSet s
s_pos : 0 < μ s
s_top : μ s < ∞
hzero : indicatorConstLp p s_meas ⋯ 1 = 0
⊢ ‖0‖ = ‖0‖
Module: Mathlib.MeasureTheory.Function.LpSpace.CompleteOfCompleteLp

Goal state before:
pp: α : Type u_1
E : Type u_2
inst✝³ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝² : NormedSpace ℝ E
hp : Fact (1 ≤ p)
inst✝¹ : CompleteSpace ↥(Lp E p μ)
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp ℝ p μ)
hf : f ≠ 0
⊢ CompleteSpace E

Tactic:
let m : E →L[ℝ] Lp E p μ := ((ContinuousLinearMap.lsmul ℝ ℝ).flip.compLpL₂ p μ).flip f

Goal state after:
α : Type u_1
E : Type u_2
inst✝³ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝² : NormedSpace ℝ E
hp : Fact (1 ≤ p)
inst✝¹ : CompleteSpace ↥(Lp E p μ)
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp ℝ p μ)
hf : f ≠ 0
m : E →L[ℝ] ↥(Lp E p μ) := (compLpL₂ p μ (lsmul ℝ ℝ).flip).flip f
⊢ CompleteSpace E
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
h : μ ≪ ν
h_eq : μ univ = ν univ
h_int : ¬Integrable (llr μ ν) μ
⊢ ∞.toReal = 0

Tactic:
ENNReal.toReal_top

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : μ ≪ ν
h_eq : μ univ = ν univ
h_int : ¬Integrable (llr μ ν) μ
⊢ 0 = 0
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
h : μ ≪ ν
h_int : ¬Integrable (llr μ ν) μ
⊢ ∞.toReal = 0

Tactic:
ENNReal.toReal_top

Goal state after:
case neg
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : μ ≪ ν
h_int : ¬Integrable (llr μ ν) μ
⊢ 0 = 0
Module: Mathlib.MeasureTheory.Function.LpSpace.CompleteOfCompleteLp

Goal state before:
pp: α : Type u_1
E : Type u_2
inst✝³ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝² : NormedSpace ℝ E
hp : Fact (1 ≤ p)
inst✝¹ : CompleteSpace ↥(Lp E p μ)
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp ℝ p μ)
hf : f ≠ 0
m : E →L[ℝ] ↥(Lp E p μ) := (compLpL₂ p μ (lsmul ℝ ℝ).flip).flip f
u : ℕ → E
hu : CauchySeq u
g : ↥(Lp E p μ)
hg : Tendsto (⇑m ∘ u) atTop (𝓝 g)
f' : ℕ → α → E := fun n ↦ ↑↑((⇑m ∘ u) n)
ns : ℕ → ℕ
hns : StrictMono ns
nslim : ∀ᵐ (x : α) ∂μ, Tendsto (fun i ↦ f' (ns i) x) atTop (𝓝 (↑↑g x))
this : (ae (μ.restrict (Function.support ↑↑f))).NeBot
A : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), Tendsto (fun i ↦ f' (ns i) x) atTop (𝓝 (↑↑g x))
B : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), x ∈ Function.support ↑↑f
C : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), ∀ (n : ℕ), ↑↑(m (u n)) x = ↑↑f x • u n
x : α
xlim : Tendsto (fun i ↦ f' (ns i) x) atTop (𝓝 (↑↑g x))
hx : x ∈ Function.support ↑↑f
hmx : ∀ (n : ℕ), ↑↑(m (u n)) x = ↑↑f x • u n
⊢ ∃ a, Tendsto u atTop (𝓝 a)

Tactic:
simp only [Function.comp_apply, hmx, f'] at xlim

Goal state after:
α : Type u_1
E : Type u_2
inst✝³ : NormedAddCommGroup E
mα : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
inst✝² : NormedSpace ℝ E
hp : Fact (1 ≤ p)
inst✝¹ : CompleteSpace ↥(Lp E p μ)
inst✝ : Nontrivial ↥(Lp E p μ)
f : ↥(Lp ℝ p μ)
hf : f ≠ 0
m : E →L[ℝ] ↥(Lp E p μ) := (compLpL₂ p μ (lsmul ℝ ℝ).flip).flip f
u : ℕ → E
hu : CauchySeq u
g : ↥(Lp E p μ)
hg : Tendsto (⇑m ∘ u) atTop (𝓝 g)
f' : ℕ → α → E := fun n ↦ ↑↑((⇑m ∘ u) n)
ns : ℕ → ℕ
hns : StrictMono ns
nslim : ∀ᵐ (x : α) ∂μ, Tendsto (fun i ↦ f' (ns i) x) atTop (𝓝 (↑↑g x))
this : (ae (μ.restrict (Function.support ↑↑f))).NeBot
A : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), Tendsto (fun i ↦ f' (ns i) x) atTop (𝓝 (↑↑g x))
B : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), x ∈ Function.support ↑↑f
C : ∀ᵐ (x : α) ∂μ.restrict (Function.support ↑↑f), ∀ (n : ℕ), ↑↑(m (u n)) x = ↑↑f x • u n
x : α
hx : x ∈ Function.support ↑↑f
hmx : ∀ (n : ℕ), ↑↑(m (u n)) x = ↑↑f x • u n
xlim : Tendsto (fun i ↦ ↑↑f x • u (ns i)) atTop (𝓝 (↑↑g x))
⊢ ∃ a, Tendsto u atTop (𝓝 a)
Module: Mathlib.InformationTheory.KullbackLeibler.Basic

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : (fun x ↦ ENNReal.ofReal (klFun (μ.rnDeriv ν x).toReal)) =ᵐ[ν] 0
h_ne : μ ≪ ν ∧ Integrable (llr μ ν) μ
x : α
hx : klFun (μ.rnDeriv ν x).toReal ≤ 0
hx' : klFun (μ.rnDeriv ν x).toReal = 0
⊢ μ.rnDeriv ν x = 1 x

Tactic:
klFun_eq_zero_iff ENNReal.toReal_nonneg,

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
h : (fun x ↦ ENNReal.ofReal (klFun (μ.rnDeriv ν x).toReal)) =ᵐ[ν] 0
h_ne : μ ≪ ν ∧ Integrable (llr μ ν) μ
x : α
hx : klFun (μ.rnDeriv ν x).toReal ≤ 0
hx' : (μ.rnDeriv ν x).toReal = 1
⊢ μ.rnDeriv ν x = 1 x
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: case refine_1
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)
c : E
h_mem_Lp : MemLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) 2 μ
h_eq : ↑↑(MemLp.toLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) h_mem_Lp) =ᵐ[μ] fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫
⊢ ∀ (s : Set α),
    MeasurableSet s → μ s < ∞ → IntegrableOn (↑↑(MemLp.toLp (fun a ↦ ⟪c, ↑↑↑((condExpL2 E 𝕜 hm) f) a⟫) h_mem_Lp)) s μ

Tactic:
intro s _ hμs
    rw [IntegrableOn, integrable_congr (ae_restrict_of_ae h_eq)]
    exact (integrableOn_condExpL2_of_measure_ne_top hm hμs.ne _).const_inner _

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

Goal state before:
pp: α : Type u_1
F : Type u_2
p : ℝ≥0∞
inst✝² : NormedAddCommGroup F
m m0 : MeasurableSpace α
μ : Measure α
inst✝¹ : Fact (1 ≤ p)
inst✝ : NormedSpace ℝ F
hm : m ≤ m0
hp_ne_top : p ≠ ∞
P : ↥(Lp F p μ) → Prop
h_ind : ∀ (c : F) {s : Set α} (hs : MeasurableSet s) (hμs : μ s < ∞), P ↑(simpleFunc.indicatorConst p ⋯ ⋯ c)
h_add :
  ∀ ⦃f g : α → F⦄ (hf : MemLp f p μ) (hg : MemLp g p μ),
    StronglyMeasurable f →
      StronglyMeasurable g →
        Disjoint (Function.support f) (Function.support g) →
          P (MemLp.toLp f hf) → P (MemLp.toLp g hg) → P (MemLp.toLp f hf + MemLp.toLp g hg)
h_closed : IsClosed {f | P ↑f}
f✝ : ↥(Lp F p μ)
hf✝ : AEStronglyMeasurable (↑↑f✝) μ
f g : α → F
hf : MemLp f p μ
hg : MemLp g p μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
h_disj : Disjoint (Function.support f) (Function.support g)
hPf : P (MemLp.toLp f hf)
hPg : P (MemLp.toLp g hg)
s_f : Set α := Function.support (AEStronglyMeasurable.mk f hfm)
hs_f : MeasurableSet s_f
hs_f_eq : s_f =ᵐ[μ] Function.support f
s_g : Set α := Function.support (AEStronglyMeasurable.mk g hgm)
hs_g : MeasurableSet s_g
hs_g_eq : s_g =ᵐ[μ] Function.support g
h_inter_empty : s_f ∩ s_g =ᵐ[μ] ∅
f' : α → F := (s_f \ s_g).indicator (AEStronglyMeasurable.mk f hfm)
hff' : f =ᵐ[μ] f'
hf'_meas : StronglyMeasurable f'
hf'_Lp : MemLp f' p μ
g' : α → F := (s_g \ s_f).indicator (AEStronglyMeasurable.mk g hgm)
⊢ s_g \ s_f =ᵐ[μ] s_g

Tactic:
← Set.sdiff_inter_self_eq_sdiff

Goal state after:
α : Type u_1
F : Type u_2
p : ℝ≥0∞
inst✝² : NormedAddCommGroup F
m m0 : MeasurableSpace α
μ : Measure α
inst✝¹ : Fact (1 ≤ p)
inst✝ : NormedSpace ℝ F
hm : m ≤ m0
hp_ne_top : p ≠ ∞
P : ↥(Lp F p μ) → Prop
h_ind : ∀ (c : F) {s : Set α} (hs : MeasurableSet s) (hμs : μ s < ∞), P ↑(simpleFunc.indicatorConst p ⋯ ⋯ c)
h_add :
  ∀ ⦃f g : α → F⦄ (hf : MemLp f p μ) (hg : MemLp g p μ),
    StronglyMeasurable f →
      StronglyMeasurable g →
        Disjoint (Function.support f) (Function.support g) →
          P (MemLp.toLp f hf) → P (MemLp.toLp g hg) → P (MemLp.toLp f hf + MemLp.toLp g hg)
h_closed : IsClosed {f | P ↑f}
f✝ : ↥(Lp F p μ)
hf✝ : AEStronglyMeasurable (↑↑f✝) μ
f g : α → F
hf : MemLp f p μ
hg : MemLp g p μ
hfm : AEStronglyMeasurable f μ
hgm : AEStronglyMeasurable g μ
h_disj : Disjoint (Function.support f) (Function.support g)
hPf : P (MemLp.toLp f hf)
hPg : P (MemLp.toLp g hg)
s_f : Set α := Function.support (AEStronglyMeasurable.mk f hfm)
hs_f : MeasurableSet s_f
hs_f_eq : s_f =ᵐ[μ] Function.support f
s_g : Set α := Function.support (AEStronglyMeasurable.mk g hgm)
hs_g : MeasurableSet s_g
hs_g_eq : s_g =ᵐ[μ] Function.support g
h_inter_empty : s_f ∩ s_g =ᵐ[μ] ∅
f' : α → F := (s_f \ s_g).indicator (AEStronglyMeasurable.mk f hfm)
hff' : f =ᵐ[μ] f'
hf'_meas : StronglyMeasurable f'
hf'_Lp : MemLp f' p μ
g' : α → F := (s_g \ s_f).indicator (AEStronglyMeasurable.mk g hgm)
⊢ s_g \ (s_f ∩ s_g) =ᵐ[μ] s_g
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: α : Type u_1
F' : Type u_3
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝¹ : SigmaFinite (μ.trim hm)
inst✝ : CompleteSpace F'
f : ↥(lpMeas F' ℝ m 1 μ)
⊢ (condExpL1CLM F' hm μ) ↑f = ↑f

Tactic:
let g := lpMeasToLpTrimLie F' ℝ 1 μ hm f

Goal state after:
α : Type u_1
F' : Type u_3
inst✝³ : NormedAddCommGroup F'
inst✝² : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝¹ : SigmaFinite (μ.trim hm)
inst✝ : CompleteSpace F'
f : ↥(lpMeas F' ℝ m 1 μ)
g : ↥(Lp F' 1 (μ.trim hm)) := (lpMeasToLpTrimLie F' ℝ 1 μ hm) f
⊢ (condExpL1CLM F' hm μ) ↑f = ↑f
Module: Mathlib.InformationTheory.KullbackLeibler.ChainRule

Goal state before:
pp: 𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ : Kernel 𝓧 𝓨
inst✝² : IsFiniteMeasure μ
inst✝¹ : IsFiniteMeasure ν
inst✝ : IsMarkovKernel κ
h_ac : μ ≪ ν
⊢ ∫⁻ (p : 𝓧 × 𝓨), ENNReal.ofReal (klFun ((∂μ/∂ν) p.1).toReal) ∂ν ⊗ₘ κ =
    ∫⁻ (x : 𝓧), ENNReal.ofReal (klFun ((∂μ/∂ν) x).toReal) ∂ν

Tactic:
rw [Measure.lintegral_compProd (by fun_prop)]

Goal state after:
𝓧 : Type u_1
𝓨 : Type u_2
m𝓧 : MeasurableSpace 𝓧
m𝓨 : MeasurableSpace 𝓨
μ ν : Measure 𝓧
κ : Kernel 𝓧 𝓨
inst✝² : IsFiniteMeasure μ
inst✝¹ : IsFiniteMeasure ν
inst✝ : IsMarkovKernel κ
h_ac : μ ≪ ν
⊢ ∫⁻ (a : 𝓧), ∫⁻ (b : 𝓨), ENNReal.ofReal (klFun ((∂μ/∂ν) (a, b).1).toReal) ∂κ a ∂ν =
    ∫⁻ (x : 𝓧), ENNReal.ofReal (klFun ((∂μ/∂ν) x).toReal) ∂ν
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: α : Type u_1
F' : Type u_3
inst✝² : NormedAddCommGroup F'
inst✝¹ : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f : α → F'
hF' : CompleteSpace ↥(Lp F' 1 μ)
hf : Integrable f μ
hf' : ¬f =ᵐ[μ] 0
⊢ Integrable.toL1 f hf ≠ 0

Tactic:
grw [ne_eq, Lp.ext_iff, Integrable.coeFn_toL1, coeFn_zero]

Goal state after:
α : Type u_1
F' : Type u_3
inst✝² : NormedAddCommGroup F'
inst✝¹ : NormedSpace ℝ F'
m m0 : MeasurableSpace α
μ : Measure α
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
f : α → F'
hF' : CompleteSpace ↥(Lp F' 1 μ)
hf : Integrable f μ
hf' : ¬f =ᵐ[μ] 0
⊢ ¬f =ᵐ[μ] 0
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
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
ι : Type u_5
inst✝ : Countable ι
f : ι → α → E
hf : ∀ (i : ι), AEStronglyMeasurable (f i) μ
hf' : ∑' (i : ι), ∫⁻ (a : α), ‖f i a‖ₑ ∂μ ≠ ∞
hm : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
A : ∀ᵐ (a : α) ∂μ, ∀ (i : ι), μ[f i | m] a = ↑↑(condExpL1 hm μ (f i)) a
B : ∑' (n : ι), ‖condExpL1 hm μ (f n)‖ₑ ≠ ∞
C : ↑↑(∑' (n : ι), condExpL1 hm μ (f n)) =ᵐ[μ] fun x ↦ ∑' (n : ι), ↑↑(condExpL1 hm μ (f n)) x
a : α
ha : ∀ (i : ι), μ[f i | m] a = ↑↑(condExpL1 hm μ (f i)) a
h'a : ↑↑(∑' (n : ι), condExpL1 hm μ (f n)) a = ∑' (n : ι), ↑↑(condExpL1 hm μ (f n)) a
⊢ ↑↑(condExpL1 hm μ fun a ↦ ∑' (i : ι), f i a) a = ∑' (i : ι), μ[f i | m] a

Tactic:
simp_all [condExpL1, setToFun_tsum]

Goal state after: