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

Goal state before:
pp: case cons
ι : Type u_1
G : ι → Type u_2
H : Type u_3
K : Type u_4
inst✝⁴ : Monoid K
inst✝³ : (i : ι) → Group (G i)
inst✝² : Group H
φ : (i : ι) → H →* G i
d : Transversal φ
inst✝¹ : DecidableEq ι
inst✝ : (i : ι) → DecidableEq (G i)
motive : NormalWord d → Sort ?u.126
empty : motive NormalWord.empty
cons :
  (i : ι) →
    (g : G i) →
      (w : NormalWord d) →
        (hmw : w.fstIdx ≠ some i) →
          g ∈ d.set i → (hgr : g ∉ (φ i).range) → w.head = 1 → motive w → motive (NormalWord.cons g w hmw hgr)
base : (h : H) → (w : NormalWord d) → w.head = 1 → motive w → motive ((PushoutI.base φ) h • w)
head : H
i : ι
g : G i
w : Word G
h1 : w.fstIdx ≠ some i
hg1 : g ≠ 1
ih : (h3 : ∀ (i : ι) (g : G i), ⟨i, g⟩ ∈ w.toList → g ∈ d.set i) → motive { toWord := w, head := 1, normalized := h3 }
h3 : ∀ (i_1 : ι) (g_1 : G i_1), ⟨i_1, g_1⟩ ∈ (Word.cons g w h1 hg1).toList → g_1 ∈ d.set i_1
⊢ g ∉ ↑(φ i).range

Tactic:
← coe_equiv_snd_eq_one_iff_mem (d.compl i) (d.one_mem _),

Goal state after:
case cons
ι : Type u_1
G : ι → Type u_2
H : Type u_3
K : Type u_4
inst✝⁴ : Monoid K
inst✝³ : (i : ι) → Group (G i)
inst✝² : Group H
φ : (i : ι) → H →* G i
d : Transversal φ
inst✝¹ : DecidableEq ι
inst✝ : (i : ι) → DecidableEq (G i)
motive : NormalWord d → Sort ?u.126
empty : motive NormalWord.empty
cons :
  (i : ι) →
    (g : G i) →
      (w : NormalWord d) →
        (hmw : w.fstIdx ≠ some i) →
          g ∈ d.set i → (hgr : g ∉ (φ i).range) → w.head = 1 → motive w → motive (NormalWord.cons g w hmw hgr)
base : (h : H) → (w : NormalWord d) → w.head = 1 → motive w → motive ((PushoutI.base φ) h • w)
head : H
i : ι
g : G i
w : Word G
h1 : w.fstIdx ≠ some i
hg1 : g ≠ 1
ih : (h3 : ∀ (i : ι) (g : G i), ⟨i, g⟩ ∈ w.toList → g ∈ d.set i) → motive { toWord := w, head := 1, normalized := h3 }
h3 : ∀ (i_1 : ι) (g_1 : G i_1), ⟨i_1, g_1⟩ ∈ (Word.cons g w h1 hg1).toList → g_1 ∈ d.set i_1
⊢ ¬↑(⋯.equiv g).2 = 1
Module: Mathlib.GroupTheory.SpecificGroups.ZGroup

Goal state before:
pp: G : Type u_1
inst✝⁴ : Group G
p : ℕ
inst✝³ : Fact (Nat.Prime p)
inst✝² : IsCyclic G
hG : IsPGroup p G
K : Type u_4
inst✝¹ : Group K
inst✝ : MulDistribMulAction K G
hGK : (Nat.card G).Coprime (Nat.card K)
⊢ (∀ (g : G) (k : K), k • g * g⁻¹ = 1) ∨ ∀ (g : G), ∃ k q, k • q * q⁻¹ = g

Tactic:
by_cases hc : Nat.card G = 0

Goal state after:
case pos
G : Type u_1
inst✝⁴ : Group G
p : ℕ
inst✝³ : Fact (Nat.Prime p)
inst✝² : IsCyclic G
hG : IsPGroup p G
K : Type u_4
inst✝¹ : Group K
inst✝ : MulDistribMulAction K G
hGK : (Nat.card G).Coprime (Nat.card K)
hc : Nat.card G = 0
⊢ (∀ (g : G) (k : K), k • g * g⁻¹ = 1) ∨ ∀ (g : G), ∃ k q, k • q * q⁻¹ = g

case neg
G : Type u_1
inst✝⁴ : Group G
p : ℕ
inst✝³ : Fact (Nat.Prime p)
inst✝² : IsCyclic G
hG : IsPGroup p G
K : Type u_4
inst✝¹ : Group K
inst✝ : MulDistribMulAction K G
hGK : (Nat.card G).Coprime (Nat.card K)
hc : ¬Nat.card G = 0
⊢ (∀ (g : G) (k : K), k • g * g⁻¹ = 1) ∨ ∀ (g : G), ∃ k q, k • q * q⁻¹ = g
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
⊢ (base φ).range ≤ (of i).range

Tactic:
← of_comp_eq_base i

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
⊢ ((of i).comp (φ i)).range ≤ (of i).range
Module: Mathlib.Probability.Kernel.Basic

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
s : Set β
μ : Measure β
hs : MeasurableSet s
⊢ (const α μ).restrict hs = const α (μ.restrict s)

Tactic:
by
  ext a
  simp [Kernel.restrict_apply, Kernel.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
s : Set β
κ : Kernel α β
hs : MeasurableSet s
a : α
f : β → ℝ≥0∞
t : Set β
⊢ ∫⁻ (b : β) in t, f b ∂(κ.restrict hs) a = ∫⁻ (b : β) in t ∩ s, f b ∂κ a

Tactic:
restrict_apply,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
s : Set β
κ : Kernel α β
hs : MeasurableSet s
a : α
f : β → ℝ≥0∞
t : Set β
⊢ ∫⁻ (b : β) in t, f b ∂(κ a).restrict s = ∫⁻ (b : β) in t ∩ s, f b ∂κ a
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
s t : Set β
κ : Kernel α β
inst✝ : IsSFiniteKernel κ
hs : MeasurableSet s
a : α
⊢ (κ.restrict hs) a = Measure.sum fun n ↦ ((κ.seq n).restrict hs) a

Tactic:
restrict_apply,

Goal state after:
α : Type u_1
β : Type u_2
ι : Type u_3
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ✝ : Kernel α β
s t : Set β
κ : Kernel α β
inst✝ : IsSFiniteKernel κ
hs : MeasurableSet s
a : α
⊢ (κ a).restrict s = Measure.sum fun n ↦ ((κ.seq n) a).restrict s
Module: Mathlib.Probability.Kernel.MeasurableLIntegral

Goal state before:
pp: case empty
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)
⊢ Measurable fun a ↦ (κ a) (Prod.mk a ⁻¹' ∅)

Tactic:
simp only [preimage_empty, measure_empty, measurable_const]

Goal state after:
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)
ht : MeasurableSet t
hκs : ∀ (a : α), IsFiniteMeasure (κ a)
⊢ Measurable fun a ↦ (κ a) (Prod.mk a ⁻¹' t)

Tactic:
induction t, ht
    using MeasurableSpace.induction_on_inter generateFrom_prod.symm isPiSystem_prod with

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
ν : Measure β
inst✝¹ : SFinite μ
inst✝ : SFinite ν
⊢ μ ⊗ₘ Kernel.const α ν = μ.prod ν

Tactic:
by
  ext s hs
  simp_rw [compProd_apply hs, prod_apply hs, Kernel.const_apply]

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

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
f : α → β
hf : Measurable f
⊢ Kernel.id.comap f hf = deterministic f hf

Tactic:
by
  ext
  rw [Kernel.comap_apply _ hf, Kernel.deterministic_apply, Kernel.id_apply]

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)
⊢ swap β γ ∘ₖ κ = κ.map Prod.swap

Tactic:
rw [swap, deterministic_comp_eq_map]

Goal state after:
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
mγ : MeasurableSpace γ
κ : Kernel α β
inst✝¹ : IsSFiniteKernel κ
η : Kernel α γ
inst✝ : IsSFiniteKernel η
a : α
g : β × γ → ℝ≥0∞
hg : Measurable g
⊢ ∫⁻ (b : α × α), ∫⁻ (c : β × γ), g c ∂(κ ∥ₖ η) b ∂Measure.dirac (a, a) = ∫⁻ (b : β), ∫⁻ (c : γ), g (b, c) ∂η a ∂κ a

Tactic:
rw [lintegral_dirac' _ (by fun_prop)]

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
inst✝¹ : IsSFiniteKernel κ
η : Kernel α γ
inst✝ : IsSFiniteKernel η
a : α
g : β × γ → ℝ≥0∞
hg : Measurable g
⊢ ∫⁻ (c : β × γ), g c ∂(κ ∥ₖ η) (a, a) = ∫⁻ (b : β), ∫⁻ (c : γ), g (b, c) ∂η a ∂κ a
Module: Mathlib.Probability.Kernel.Composition.KernelLemmas

Goal state before:
pp: X : Type u_1
Y : Type u_2
Z : Type u_3
T : Type u_4
mX : MeasurableSpace X
mY : MeasurableSpace Y
mZ : MeasurableSpace Z
mT : MeasurableSpace T
κ : Kernel X Y
η : Kernel Z T
⊢ Kernel.id ∥ₖ κ ∘ₖ (η ∥ₖ Kernel.id) = η ∥ₖ Kernel.id ∘ₖ (Kernel.id ∥ₖ κ)

Tactic:
by_cases hκ : IsSFiniteKernel κ
  swap; · simp [hκ]
  by_cases hη : IsSFiniteKernel η
  swap; · simp [hη]
  rw [parallelComp_id_left_comp_parallelComp, parallelComp_id_right_comp_parallelComp,
    comp_id, comp_id]

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

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
E : Type u_4
inst✝¹ : NormedAddCommGroup E
inst✝ : IsSFiniteKernel κ
f : α → β → E
hf : StronglyMeasurable (uncurry f)
⊢ MeasurableSet {x | Integrable (f x) (κ x)}

Tactic:
simp_rw [Integrable, hf.of_uncurry_left.aestronglyMeasurable, true_and]
  exact measurableSet_lt (Measurable.lintegral_kernel_prod_right hf.enorm) measurable_const

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

Goal state before:
pp: 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)

Tactic:
exact fun i j hij b => h_mono hij _

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
inst✝¹ : IsSFiniteKernel κ
η : Kernel (α × β) γ
inst✝ : IsSFiniteKernel η
a : α
f : β × γ → ℝ≥0∞
hf : Measurable f
g : β → γ → ℝ≥0∞ := Function.curry f
⊢ ∫⁻ (bc : β × γ), f bc ∂(κ ⊗ₖ η) a = ∫⁻ (b : β), ∫⁻ (c : γ), f (b, c) ∂η (a, b) ∂κ a

Tactic:
change ∫⁻ bc, f bc ∂(κ ⊗ₖ η) a = ∫⁻ b, ∫⁻ c, g b c ∂η (a, b) ∂κ a

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 f
g : β → γ → ℝ≥0∞ := Function.curry f
⊢ ∫⁻ (bc : β × γ), f bc ∂(κ ⊗ₖ η) a = ∫⁻ (b : β), ∫⁻ (c : γ), g b c ∂η (a, b) ∂κ a
Module: Mathlib.MeasureTheory.Measure.Tilted

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f : α → ℝ
⊢ μ.tilted f = μ.withDensity fun x ↦ ↑(NNReal.mk (rexp (f x) / ∫ (x : α), rexp (f x) ∂μ) ⋯)

Tactic:
rw [Measure.tilted]
  congr with x
  rw [ENNReal.ofReal_eq_coe_nnreal]

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Decomposition.IntegralRNDeriv

Goal state before:
pp: case neg.refine_2
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'
h_rnDeriv_eq : μ'.rnDeriv ν' =ᵐ[ν] μ.rnDeriv ν
h_eq : ∫ (x : 𝓧), f (μ'.rnDeriv ν' x).toReal ∂ν' = (ν.real univ)⁻¹ * ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
h : (ν.real univ)⁻¹⁻¹ * f (μ'.real univ) ≤ ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
⊢ ν.real univ * f (μ.real univ / ν.real univ) ≤ ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν

pp: case neg.refine_2
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'
h_rnDeriv_eq : μ'.rnDeriv ν' =ᵐ[ν] μ.rnDeriv ν
h_eq : ∫ (x : 𝓧), f (μ'.rnDeriv ν' x).toReal ∂ν' = (ν.real univ)⁻¹ * ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
h : f (μ'.real univ) ≤ (∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν) * (ν.real univ)⁻¹
⊢ 0 < (ν.real univ)⁻¹

Tactic:
inv_inv

Goal state after:
case neg.refine_2
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'
h_rnDeriv_eq : μ'.rnDeriv ν' =ᵐ[ν] μ.rnDeriv ν
h_eq : ∫ (x : 𝓧), f (μ'.rnDeriv ν' x).toReal ∂ν' = (ν.real univ)⁻¹ * ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
h : ν.real univ * f (μ'.real univ) ≤ ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
⊢ ν.real univ * f (μ.real univ / ν.real univ) ≤ ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν

case neg.refine_2
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'
h_rnDeriv_eq : μ'.rnDeriv ν' =ᵐ[ν] μ.rnDeriv ν
h_eq : ∫ (x : 𝓧), f (μ'.rnDeriv ν' x).toReal ∂ν' = (ν.real univ)⁻¹ * ∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν
h : f (μ'.real univ) ≤ (∫ (x : 𝓧), f (μ.rnDeriv ν x).toReal ∂ν) * (ν.real univ)⁻¹
⊢ 0 < (ν.real univ)⁻¹
Module: Mathlib.Probability.Kernel.Composition.IntegralCompProd

Goal state before:
pp: α : Type u_1
β : Type u_2
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
hf : AEStronglyMeasurable f (⇑κ ∘ₘ μ)
⊢ Integrable f (⇑κ ∘ₘ μ) ↔ (∀ᵐ (x : α) ∂μ, Integrable f (κ x)) ∧ Integrable (fun x ↦ ∫ (y : β), ‖f y‖ ∂κ x) μ

Tactic:
Measure.comp_eq_comp_const_apply,

Goal state after:
α : Type u_1
β : Type u_2
E : Type u_4
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
hf : AEStronglyMeasurable f (⇑κ ∘ₘ μ)
⊢ Integrable f ((κ ∘ₖ Kernel.const Unit μ) ()) ↔
    (∀ᵐ (x : α) ∂μ, Integrable f (κ x)) ∧ Integrable (fun x ↦ ∫ (y : β), ‖f y‖ ∂κ x) μ
Module: Mathlib.MeasureTheory.Measure.Tilted

Goal state before:
pp: case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ ENNReal.ofReal (rexp (f x) / ∫ (x : α), rexp (f x) ∂ν)⁻¹ = ENNReal.ofReal (rexp (-f x) * ∫ (x : α), rexp (f x) ∂ν)

pp: case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ 0 < rexp (f x) / ∫ (x : α), rexp (f x) ∂ν

Tactic:
inv_div',

Goal state after:
case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ ENNReal.ofReal ((rexp (f x))⁻¹ / (∫ (x : α), rexp (f x) ∂ν)⁻¹) =
    ENNReal.ofReal (rexp (-f x) * ∫ (x : α), rexp (f x) ∂ν)

case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ 0 < rexp (f x) / ∫ (x : α), rexp (f x) ∂ν
Module: Mathlib.MeasureTheory.Measure.Tilted

Goal state before:
pp: case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ ENNReal.ofReal (rexp (-f x) * (∫ (x : α), rexp (f x) ∂ν)⁻¹⁻¹) =
    ENNReal.ofReal (rexp (-f x) * ∫ (x : α), rexp (f x) ∂ν)

pp: case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ 0 < rexp (f x) / ∫ (x : α), rexp (f x) ∂ν

Tactic:
inv_inv

Goal state after:
case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ ENNReal.ofReal (rexp (-f x) * ∫ (x : α), rexp (f x) ∂ν) = ENNReal.ofReal (rexp (-f x) * ∫ (x : α), rexp (f x) ∂ν)

case inr.refine_4.e_a
α : Type u_1
mα : MeasurableSpace α
f : α → ℝ
μ ν : Measure α
inst✝¹ : SigmaFinite μ
inst✝ : SigmaFinite ν
hf : Integrable (fun x ↦ rexp (f x)) ν
h0 : NeZero ν
x : α
⊢ 0 < rexp (f x) / ∫ (x : α), rexp (f x) ∂ν
Module: Mathlib.Probability.Kernel.Composition.IntegralCompProd

Goal state before:
pp: α : Type u_5
β : Type u_6
E : Type u_7
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
h_int : Integrable f (⇑κ ∘ₘ μ)
⊢ ∀ᵐ (x : α) ∂μ, Integrable f (κ x)

Tactic:
Measure.comp_eq_comp_const_apply,

Goal state after:
α : Type u_5
β : Type u_6
E : Type u_7
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
h_int : Integrable f ((κ ∘ₖ Kernel.const Unit μ) ())
⊢ ∀ᵐ (x : α) ∂μ, Integrable f (κ x)
Module: Mathlib.Probability.Kernel.Composition.IntegralCompProd

Goal state before:
pp: α : Type u_5
β : Type u_6
E : Type u_7
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
h_int : Integrable f (⇑κ ∘ₘ μ)
⊢ Integrable (fun x ↦ ∫ (y : β), ‖f y‖ ∂κ x) μ

Tactic:
Measure.comp_eq_comp_const_apply,

Goal state after:
α : Type u_5
β : Type u_6
E : Type u_7
mα : MeasurableSpace α
mβ : MeasurableSpace β
inst✝ : NormedAddCommGroup E
κ : Kernel α β
μ : Measure α
f : β → E
h_int : Integrable f ((κ ∘ₖ Kernel.const Unit μ) ())
⊢ Integrable (fun x ↦ ∫ (y : β), ‖f y‖ ∂κ x) μ
Module: Mathlib.MeasureTheory.Measure.Decomposition.IntegralRNDeriv

Goal state before:
pp: 𝓧 : Type u_1
m𝓧 : MeasurableSpace 𝓧
μ ν : Measure 𝓧
𝓨 : Type u_2
m𝓨 : MeasurableSpace 𝓨
κ η : Kernel 𝓧 𝓨
f : ℝ → ℝ
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
hf : StronglyMeasurable f
hf_cvx : ConvexOn ℝ (Ici 0) f
hf_cont_at : ContinuousWithinAt f (Ici 0) 0
h_int✝ :
  (∀ᵐ (x : 𝓧) ∂ν, Integrable (fun y ↦ f ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (x, y)).toReal) (η x)) ∧
    Integrable (fun x ↦ ∫ (y : 𝓨), ‖f ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (x, y)).toReal‖ ∂η x) ν
hκη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
hf_cont : ContinuousOn f (Ici 0)
h_lt_top✝ : ∀ᵐ (a : 𝓧) ∂ν, ∀ᵐ (b : 𝓨) ∂η a, (μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b) < ∞
h_integrable :
  (∀ᵐ (x : 𝓧) ∂ν, Integrable (fun y ↦ ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (x, y)).toReal) (η x)) ∧
    Integrable (fun x ↦ ∫ (y : 𝓨), ‖((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (x, y)).toReal‖ ∂η x) ν
h_ae1 : ∀ᵐ (a : 𝓧) ∂ν, μ.rnDeriv ν a * ∫⁻ (b : 𝓨), (μ ⊗ₘ κ).rnDeriv (μ ⊗ₘ η) (a, b) ∂η a = μ.rnDeriv ν a
h_ae2 :
  ∀ᵐ (a : 𝓧) ∂ν, ∀ᵐ (b : 𝓨) ∂η a, μ.rnDeriv ν a * (μ ⊗ₘ κ).rnDeriv (μ ⊗ₘ η) (a, b) = (μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b)
a : 𝓧
h_eq_one : μ.rnDeriv ν a * ∫⁻ (b : 𝓨), (μ ⊗ₘ κ).rnDeriv (μ ⊗ₘ η) (a, b) ∂η a = μ.rnDeriv ν a
h_mul_eq : ∀ᵐ (b : 𝓨) ∂η a, μ.rnDeriv ν a * (μ ⊗ₘ κ).rnDeriv (μ ⊗ₘ η) (a, b) = (μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b)
h_lt_top : ∀ᵐ (b : 𝓨) ∂η a, (μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b) < ∞
h_int' : Integrable (fun y ↦ ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, y)).toReal) (η a)
h_int : Integrable (fun y ↦ f ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, y)).toReal) (η a)
⊢ f (∫ (b : 𝓨), ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b)).toReal ∂η a) ≤
    ∫ (b : 𝓨), f ((μ ⊗ₘ κ).rnDeriv (ν ⊗ₘ η) (a, b)).toReal ∂η a

Tactic:
rw [← average_eq_integral, ← average_eq_integral]
    exact ConvexOn.map_average_le hf_cvx hf_cont isClosed_Ici (by simp) h_int' h_int

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

Goal state before:
pp: x : ℝ
hx : 0 ≤ x
h : klFun x = 0
⊢ x = 1

Tactic:
exact strictConvexOn_klFun.eq_of_isMinOn (isMinOn_iff.mpr fun y hy ↦ h ▸ klFun_nonneg hy)
    isMinOn_klFun hx (zero_le_one' ℝ)

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: case neg
α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
x : G
hs : MeasurableSet s
hμs : ¬μ s = ∞
⊢ ‖condExpIndL1 hm μ s x‖ ≤ μ.real s * ‖x‖

Tactic:
condExpIndL1_of_measurableSet_of_measure_ne_top hs hμs x

Goal state after:
case neg
α : Type u_1
G : Type u_4
inst✝² : NormedAddCommGroup G
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
inst✝¹ : NormedSpace ℝ G
hm : m ≤ m0
inst✝ : SigmaFinite (μ.trim hm)
x : G
hs : MeasurableSet s
hμs : ¬μ s = ∞
⊢ ‖condExpIndL1Fin hm hs hμs x‖ ≤ μ.real s * ‖x‖
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Basic

Goal state before:
pp: case pos
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 : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
hfi : Integrable f μ
hfm : StronglyMeasurable f
⊢ StronglyMeasurable f

pp: case neg
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 : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
hfi : Integrable f μ
hfm : ¬StronglyMeasurable f
⊢ StronglyMeasurable (AEStronglyMeasurable.mk ↑↑(condExpL1 hm μ f) ⋯)

pp: case neg
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 : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
hfi : ¬Integrable f μ
⊢ StronglyMeasurable 0

Tactic:
· exact hfm

Goal state after:
case neg
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 : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
hfi : Integrable f μ
hfm : ¬StronglyMeasurable f
⊢ StronglyMeasurable (AEStronglyMeasurable.mk ↑↑(condExpL1 hm μ f) ⋯)

case neg
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 : m ≤ m₀
hμm : SigmaFinite (μ.trim hm)
hfi : ¬Integrable f μ
⊢ StronglyMeasurable 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
f : α → E
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℝ E
⊢ StronglyMeasurable μ[f | m]

Tactic:
by
  by_cases hm : m ≤ m₀
  swap; · rw [condExp_of_not_le hm]; exact stronglyMeasurable_zero
  by_cases hμm : SigmaFinite (μ.trim hm)
  swap; · rw [condExp_of_not_sigmaFinite hm hμm]; exact stronglyMeasurable_zero
  rw [condExp_of_sigmaFinite hm]
  split_ifs with hfi hfm
  · exact hfm
  · exact aestronglyMeasurable_condExpL1.stronglyMeasurable_mk
  · exact stronglyMeasurable_zero

Goal state after:
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 η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
⊢ Integrable (fun x ↦ log ((∂μ/∂ν) x.1).toReal + log ((∂μ ⊗ₘ κ/∂μ ⊗ₘ η) x).toReal) (μ ⊗ₘ κ) ↔
    Integrable (llr μ ν) μ ∧ Integrable (llr (μ ⊗ₘ κ) (μ ⊗ₘ η)) (μ ⊗ₘ κ)

Tactic:
have h_iff_κ : Integrable (llr μ ν) μ ↔ Integrable (fun x ↦ llr μ ν x.1) (μ ⊗ₘ κ) := by
    rw [Measure.integrable_compProd_iff]
    swap; · exact StronglyMeasurable.aestronglyMeasurable (by fun_prop)
    simp only [ne_eq, enorm_ne_top, not_false_eq_true, integrable_const_enorm,
      Filter.eventually_true, integral_const, probReal_univ, smul_eq_mul, one_mul, true_and]
    rw [← integrable_norm_iff (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 η : Kernel 𝓧 𝓨
inst✝³ : IsFiniteMeasure μ
inst✝² : IsFiniteMeasure ν
inst✝¹ : IsMarkovKernel κ
inst✝ : IsMarkovKernel η
h_ac : μ ⊗ₘ κ ≪ ν ⊗ₘ η
h_ac_μν : μ ≪ ν
h_ac_κη : μ ⊗ₘ κ ≪ μ ⊗ₘ η
h_iff_κ : Integrable (llr μ ν) μ ↔ Integrable (fun x ↦ llr μ ν x.1) (μ ⊗ₘ κ)
⊢ Integrable (fun x ↦ log ((∂μ/∂ν) x.1).toReal + log ((∂μ ⊗ₘ κ/∂μ ⊗ₘ η) x).toReal) (μ ⊗ₘ κ) ↔
    Integrable (llr μ ν) μ ∧ Integrable (llr (μ ⊗ₘ κ) (μ ⊗ₘ η)) (μ ⊗ₘ κ)