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

Goal state before:
pp: G : Type u_1
G' : Type u_2
G'' : Type u_3
inst✝⁵ : Group G
inst✝⁴ : Group G'
inst✝³ : Group G''
f : G →* G'
f' : G' →* G''
inst✝² : Finite G
inst✝¹ : IsZGroup G
inst✝ : IsZGroup G''
h_le : f'.ker ≤ f.range
h_cop : (Nat.card G).Coprime (Nat.card G'')
⊢ IsZGroup G'

Tactic:
by
  refine ⟨fun p hp P ↦ ?_⟩
  have := Fact.mk hp
  replace h_cop := (h_cop.of_dvd ((Subgroup.card_dvd_of_le h_le).trans
    (Subgroup.card_range_dvd f)) (Subgroup.index_ker f' ▸ f'.range.card_subgroup_dvd_card))
  rcases P.2.le_or_disjoint_of_coprime h_cop with h | h
  · replace h_le : P ≤ f.range := h.trans h_le
    suffices IsCyclic (P.subgroupOf f.range) by
      have key := Subgroup.subgroupOfEquivOfLe h_le
      exact isCyclic_of_surjective key key.surjective
    obtain ⟨Q, hQ⟩ := Sylow.mapSurjective_surjective f.rangeRestrict_surjective p (P.subtype h_le)
    rw [Sylow.ext_iff, Sylow.coe_mapSurjective, Sylow.coe_subtype] at hQ
    exact hQ ▸ isCyclic_of_surjective _ (f.rangeRestrict.subgroupMap_surjective Q)
  · have := (P.2.map f').isCyclic_of_isZGroup
    apply isCyclic_of_injective (f'.subgroupMap P)
    rwa [← MonoidHom.ker_eq_bot_iff, P.ker_subgroupMap f', Subgroup.subgroupOf_eq_bot]

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
ab : α × β
⊢ (swap α β) ab = Measure.dirac ab.swap

Tactic:
swap,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
ab : α × β
⊢ (deterministic Prod.swap ⋯) ab = Measure.dirac ab.swap
Module: Mathlib.Probability.Kernel.Composition.Comp

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
a : α
s t : Set β
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∫⁻ (b : β), ((copy β) b) (s ×ˢ t) ∂κ a = (κ a) (s ∩ t)

Tactic:
simp_rw [copy_apply, Measure.dirac_apply' _ <| hs.prod ht, Set.indicator_prod_one]

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
a : α
s t : Set β
hs : MeasurableSet s
ht : MeasurableSet t
⊢ ∫⁻ (b : β), s.indicator 1 b * t.indicator 1 b ∂κ a = (κ a) (s ∩ t)
Module: Mathlib.Probability.Kernel.Composition.CompMap

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

Tactic:
swap,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
⊢ deterministic Prod.swap ⋯ ∘ₖ deterministic Prod.swap ⋯ = Kernel.id
Module: Mathlib.Probability.Kernel.Composition.CompMap

Goal state before:
pp: α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
⊢ deterministic (Prod.swap ∘ Prod.swap) ⋯ = Kernel.id

Tactic:
Prod.swap_swap_eq,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
⊢ deterministic id ⋯ = Kernel.id
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:
swap,

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)
⊢ deterministic Prod.swap ⋯ ∘ₖ κ = 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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α (β × γ)
inst✝ : IsMarkovKernel κ
⊢ IsMarkovKernel κ.swapRight

Tactic:
Kernel.swapRight_eq

Goal state after:
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 × γ)
inst✝ : IsMarkovKernel κ
⊢ IsMarkovKernel (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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α (β × γ)
inst✝ : IsZeroOrMarkovKernel κ
⊢ IsZeroOrMarkovKernel κ.swapRight

Tactic:
Kernel.swapRight_eq

Goal state after:
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 × γ)
inst✝ : IsZeroOrMarkovKernel κ
⊢ IsZeroOrMarkovKernel (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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α (β × γ)
inst✝ : IsFiniteKernel κ
⊢ IsFiniteKernel κ.swapRight

Tactic:
Kernel.swapRight_eq

Goal state after:
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 × γ)
inst✝ : IsFiniteKernel κ
⊢ IsFiniteKernel (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
δ : Type u_4
mδ : MeasurableSpace δ
κ : Kernel α (β × γ)
inst✝ : IsSFiniteKernel κ
⊢ IsSFiniteKernel κ.swapRight

Tactic:
Kernel.swapRight_eq

Goal state after:
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 × γ)
inst✝ : IsSFiniteKernel κ
⊢ IsSFiniteKernel (κ.map Prod.swap)
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
δ : Type u_5
mγ : MeasurableSpace γ
mδ : MeasurableSpace δ
κ : Kernel α β
η : Kernel β (γ × δ)
⊢ (η ∘ₖ κ).map Prod.snd = η.map Prod.snd ∘ₖ κ

Tactic:
map_comp κ η _

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✝ : NormedAddCommGroup E
f : β → E
hf : StronglyMeasurable f
⊢ MeasurableSet {a | AEStronglyMeasurable f (κ a) ∧ HasFiniteIntegral f (κ a)}

Tactic:
hf.aestronglyMeasurable,

Goal state after:
α : Type u_1
β : Type u_2
mα : MeasurableSpace α
mβ : MeasurableSpace β
κ : Kernel α β
E : Type u_4
inst✝ : NormedAddCommGroup E
f : β → E
hf : StronglyMeasurable f
⊢ MeasurableSet {a | True ∧ HasFiniteIntegral f (κ a)}
Module: Mathlib.Probability.Kernel.Composition.RadonNikodym

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

Tactic:
rw [Measure.compProd_add_left]

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

Goal state before:
pp: case inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f g : α → ℝ
h0 : NeZero μ
⊢ ∫ (x : α), (rexp (f x) / ∫ (x : α), rexp (f x) ∂μ) • rexp (g x) ∂μ =
    (∫ (x : α), rexp ((f + g) x) ∂μ) / ∫ (x : α), rexp (f x) ∂μ

Tactic:
smul_eq_mul

Goal state after:
case inr
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f g : α → ℝ
h0 : NeZero μ
⊢ ∫ (x : α), (rexp (f x) / ∫ (x : α), rexp (f x) ∂μ) * rexp (g x) ∂μ =
    (∫ (x : α), rexp ((f + g) x) ∂μ) / ∫ (x : α), rexp (f x) ∂μ
Module: Mathlib.InformationTheory.KullbackLeibler.KLFun

Goal state before:
pp: ⊢ Tendsto klFun atTop atTop

Tactic:
have : klFun = (fun x ↦ x * (log x - 1) + 1) := by unfold klFun; ext; ring
  rw [this]
  refine Tendsto.atTop_add ?_ tendsto_const_nhds
  refine tendsto_id.atTop_mul_atTop₀ ?_
  exact tendsto_log_atTop.atTop_add tendsto_const_nhds

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

Goal state before:
pp: case inr.inl
α : Type u_1
E : Type u_2
inst✝¹ : NormedAddCommGroup E
mα : MeasurableSpace α
μ : Measure α
inst✝ : Nontrivial ↥(Lp E 0 μ)
f : ↥(Lp E 0 μ)
hf : f ≠ 0
hfne : ¬↑↑f =ᵐ[μ] 0
h'p : 0 < ∞
⊢ Nontrivial ↥(Lp ℝ 0 μ)

pp: case inr.inr
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
⊢ Nontrivial ↥(Lp ℝ p μ)

Tactic:
· have : MemLp (fun (_ : α) ↦ (1 : ℝ)) 0 μ := by simpa using aestronglyMeasurable_const
    apply nontrivial_of_ne (this.toLp _) 0
    contrapose! hfne
    have := Lp.ext_iff.1 hfne
    grw [Lp.coeFn_zero, MemLp.coeFn_toLp] at this
    filter_upwards [this] with x hx using by simp at hx

Goal state after:
case inr.inr
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
⊢ Nontrivial ↥(Lp ℝ p μ)
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
⊢ ¬Integrable (fun x ↦ klFun (μ.rnDeriv ν x).toReal) ν

Tactic:
· rwa [integrable_klFun_rnDeriv_iff h]

Goal state after:
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
hf_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk f hfm) s (μ.trim hm)
⊢ AEStronglyMeasurable.mk f hfm =ᵐ[μ.trim hm] AEStronglyMeasurable.mk g hgm

Tactic:
have hg_mk_int_finite (s) :
      MeasurableSet[m] s → μ.trim hm s < ∞ → @IntegrableOn _ _ m _ _ (hgm.mk g) s (μ.trim hm) := by
    intro hs hμs
    rw [trim_measurableSet_eq hm hs] at hμs
    rw [IntegrableOn, restrict_trim hm _ hs]
    refine Integrable.trim hm ?_ hgm.stronglyMeasurable_mk
    exact Integrable.congr (hg_int_finite s hs hμs) (ae_restrict_of_ae hgm.ae_eq_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
hf_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk f hfm) s (μ.trim hm)
hg_mk_int_finite :
  ∀ (s : Set α), MeasurableSet s → (μ.trim hm) s < ∞ → IntegrableOn (AEStronglyMeasurable.mk g hgm) s (μ.trim hm)
⊢ AEStronglyMeasurable.mk f hfm =ᵐ[μ.trim hm] AEStronglyMeasurable.mk g hgm
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.Unique

Goal state before:
pp: α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
f g : α → ℝ
hf : StronglyMeasurable f
hfi : IntegrableOn f s μ
hg : StronglyMeasurable g
hgi : IntegrableOn g s μ
hgf : ∀ (t : Set α), MeasurableSet t → μ t < ∞ → ∫ (x : α) in t, g x ∂μ = ∫ (x : α) in t, f x ∂μ
hs : MeasurableSet s
hμs : μ s ≠ ∞
⊢ ∫⁻ (x : α) in s, ‖g x‖ₑ ∂μ ≤ ENNReal.ofReal (∫ (x : α) in s, ‖f x‖ ∂μ)

Tactic:
←
    ofReal_integral_norm_eq_lintegral_enorm hgi,

Goal state after:
α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
f g : α → ℝ
hf : StronglyMeasurable f
hfi : IntegrableOn f s μ
hg : StronglyMeasurable g
hgi : IntegrableOn g s μ
hgf : ∀ (t : Set α), MeasurableSet t → μ t < ∞ → ∫ (x : α) in t, g x ∂μ = ∫ (x : α) in t, f x ∂μ
hs : MeasurableSet s
hμs : μ s ≠ ∞
⊢ ENNReal.ofReal (∫ (x : α) in s, ‖g x‖ ∂μ) ≤ ENNReal.ofReal (∫ (x : α) in s, ‖f x‖ ∂μ)
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: 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)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : G
⊢ Integrable (↑↑(condExpIndSMul hm hs hμs x)) μ

Tactic:
apply integrable_condExpIndSMul

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

Goal state before:
pp: case neg.refine_2
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
hμ : ¬μ = 0
hν : ¬ν = 0
this : NeZero ν
ν' : Measure α := (ν univ)⁻¹ • ν
hμν' : μ ≪ ν'
h : 0 ≤ ∫ (a : α), llr μ ν a ∂μ - μ.real univ • log (ν univ)⁻¹.toReal + ν'.real univ - μ.real univ
⊢ 0 ≤ ∫ (x : α), llr μ ν x ∂μ + μ.real univ * log (ν.real univ) + 1 - μ.real univ

Tactic:
smul_eq_mul

Goal state after:
case neg.refine_2
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
hμ : ¬μ = 0
hν : ¬ν = 0
this : NeZero ν
ν' : Measure α := (ν univ)⁻¹ • ν
hμν' : μ ≪ ν'
h : 0 ≤ ∫ (a : α), llr μ ν a ∂μ - μ.real univ * log (ν univ)⁻¹.toReal + ν'.real univ - μ.real univ
⊢ 0 ≤ ∫ (x : α), llr μ ν x ∂μ + μ.real univ * log (ν.real univ) + 1 - μ.real univ
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
hμν : μ ≪ ν
h_int : Integrable (llr μ ν) μ
hμ : ¬μ = 0
hν : ¬ν = 0
⊢ μ.real univ * log (μ.real univ / ν.real univ) + ν.real univ - μ.real univ ≤ (klDiv μ ν).toReal

Tactic:
refine (le_of_eq ?_).trans (mul_klFun_le_toReal_klDiv hμν h_int)

Goal state after:
case neg
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
hμ : ¬μ = 0
hν : ¬ν = 0
⊢ μ.real univ * log (μ.real univ / ν.real univ) + ν.real univ - μ.real univ =
    ν.real univ * klFun (μ.real univ / ν.real univ)
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL1

Goal state before:
pp: 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)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : G
⊢ condExpIndL1 hm μ s x = condExpIndL1Fin hm hs hμs x

Tactic:
by
  simp only [condExpIndL1, And.intro hs hμs, dif_pos, Ne, not_false_iff, and_self_iff]

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

Goal state before:
pp: case inl
X : Type u_1
E : Type u_2
x✝ : MeasurableSpace X
μ : Measure X
inst✝² : NormedAddCommGroup E
p : ℝ≥0∞
hp : Fact (1 ≤ p)
ι : Type u_3
inst✝¹ : Countable ι
inst✝ : CompleteSpace E
f : ι → ↥(Lp E p μ)
hf : ∑' (n : ι), ‖f n‖ₑ ≠ ∞
hι : Finite ι
this : Fintype ι := Fintype.ofFinite ι
⊢ ∀ᵐ (a : X) ∂μ, HasSum (fun n ↦ ↑↑(f n) a) (↑↑(∑' (n : ι), f n) a)

Tactic:
filter_upwards [coeFn_fun_finsetSum univ f] with x hx

Goal state after:
X : Type u_1
E : Type u_2
x✝ : MeasurableSpace X
μ : Measure X
inst✝² : NormedAddCommGroup E
p : ℝ≥0∞
hp : Fact (1 ≤ p)
ι : Type u_3
inst✝¹ : Countable ι
inst✝ : CompleteSpace E
f : ι → ↥(Lp E p μ)
hf : ∑' (n : ι), ‖f n‖ₑ ≠ ∞
hι : Finite ι
this : Fintype ι := Fintype.ofFinite ι
x : X
hx : ↑↑(∑ i, f i) x = ∑ i, ↑↑(f i) x
⊢ HasSum (fun n ↦ ↑↑(f n) x) (↑↑(∑' (n : ι), f n) x)
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: case refine_1
α : Type u_1
E' : Type u_3
𝕜 : Type u_7
inst✝⁹ : RCLike 𝕜
inst✝⁸ : NormedAddCommGroup E'
inst✝⁷ : InnerProductSpace 𝕜 E'
inst✝⁶ : CompleteSpace E'
inst✝⁵ : NormedSpace ℝ E'
m m0 : MeasurableSpace α
μ : Measure α
E'' : Type u_8
𝕜' : Type u_9
inst✝⁴ : RCLike 𝕜'
inst✝³ : NormedAddCommGroup E''
inst✝² : InnerProductSpace 𝕜' E''
inst✝¹ : CompleteSpace E''
inst✝ : NormedSpace ℝ E''
hm : m ≤ m0
T : E' →L[ℝ] E''
f : ↥(Lp E' 2 μ)
s : Set α
hs : MeasurableSet s
hμs : μ s < ∞
⊢ ∫ (x : α) in s, ↑↑↑((condExpL2 E'' 𝕜' hm) (T.compLp f)) x ∂μ =
    ∫ (x : α) in s, ↑↑(T.compLp ↑((condExpL2 E' 𝕜 hm) f)) x ∂μ

Tactic:
rw [T.setIntegral_compLp _ (hm s hs),
      T.integral_comp_comm
        (integrableOn_Lp_of_measure_ne_top _ fact_one_le_two_ennreal.elim hμs.ne),
      integral_condExpL2_eq hm f hs hμs.ne,
      integral_condExpL2_eq hm (T.compLp f) hs hμs.ne, T.setIntegral_compLp _ (hm s hs),
      T.integral_comp_comm
        (integrableOn_Lp_of_measure_ne_top f fact_one_le_two_ennreal.elim hμs.ne)]

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConditionalExpectation.CondexpL2

Goal state before:
pp: α : Type u_1
m m0 : MeasurableSpace α
μ : Measure α
s : Set α
hm : m ≤ m0
E : Type u_10
inst✝⁴ : NormedAddCommGroup E
inst✝³ : PartialOrder E
inst✝² : NormedSpace ℝ E
inst✝¹ : IsOrderedModule ℝ E
inst✝ : SigmaFinite (μ.trim hm)
hs : MeasurableSet s
hμs : μ s ≠ ∞
x : E
hx : 0 ≤ x
⊢ 0 ≤ᵐ[μ] ↑↑(condExpIndSMul hm hs hμs x)

Tactic:
by
  refine EventuallyLE.trans_eq ?_ (condExpIndSMul_ae_eq_smul hm hs hμs x).symm
  filter_upwards [condExpL2_indicator_nonneg hm hs hμs] with a ha
  exact smul_nonneg ha hx

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

Goal state before:
pp: E : Type u_1
inst✝⁴ : NormedAddCommGroup E
inst✝³ : NormedSpace ℝ E
inst✝² : CompleteSpace E
α : Type u_2
f : α → E
φ : E → ℝ
m mα : MeasurableSpace α
μ : Measure α
s : Set E
inst✝¹ : IsFiniteMeasure μ
inst✝ : HereditarilyLindelofSpace E
hm : m ≤ mα
hφ_cvx : ConvexOn ℝ s φ
hφ_cont : LowerSemicontinuousOn φ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
hs : IsClosed s
hf_int : Integrable f μ
hφ_int : Integrable (φ ∘ f) μ
⊢ ∀ᵐ (a : α) ∂μ, φ (μ[f | m] a) ≤ μ[φ ∘ f | m] a

Tactic:
obtain ⟨L, c, hLc1, hLc2⟩ := hφ_cvx.real_sSup_of_nat_affine_eq hs hφ_cont
  have hp := ae_all_iff.2 fun i => (L i).comp_condExp_add_const_comm hm hf_int (c i)
  have hw : ∀ᵐ a ∂μ, ∀ i : ℕ, μ[(L i) ∘ f + const α (c i) | m] a ≤ μ[φ ∘ f | m] a := by
    refine ae_all_iff.2 fun i => condExp_mono ?_ hφ_int ?_
    · exact ((L i).integrable_comp hf_int).add (integrable_const (c i))
    · filter_upwards [hf] with a ha using hLc1 i ⟨f a, ha⟩
  filter_upwards [hp, hw, hφ_cvx.1.condExp_mem hm hf_int hs hf] with a hp hw hq
  rw [show φ (μ[f | m] a) = s.domRestrict φ ⟨μ[f | m] a, hq⟩ by simp, ← hLc2]
  simpa [iSup_congr hp] using! ciSup_le hw

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

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
α : Type u_2
f : α → E
φ : E → ℝ
m mα : MeasurableSpace α
μ : Measure α
s : Set E
hm : m ≤ mα
inst✝ : SigmaFinite (μ.trim hm)
hφ_cvx : ConvexOn ℝ s φ
hφ_cont : LowerSemicontinuousOn φ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
hs : IsClosed s
hf_int : Integrable f μ
hφ_int : Integrable (φ ∘ f) μ
n : ℕ
h1 : (μ.restrict (spanningSets (μ.trim hm) n))[f | m] =ᵐ[μ.restrict (spanningSets (μ.trim hm) n)] μ[f | m]
h2 : (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] =ᵐ[μ.restrict (spanningSets (μ.trim hm) n)] μ[φ ∘ f | m]
this : IsFiniteMeasure (μ.restrict (spanningSets (μ.trim hm) n))
h3 :
  φ ∘ (μ.restrict (spanningSets (μ.trim hm) n))[f | m] ≤ᵐ[μ.restrict (spanningSets (μ.trim hm) n)]
    (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m]
a : α
ha : (μ.restrict (spanningSets (μ.trim hm) n))[f | m] a = μ[f | m] a
hb : (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] a = μ[φ ∘ f | m] a
⊢ (φ ∘ (μ.restrict (spanningSets (μ.trim hm) n))[f | m]) a ≤ (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] a →
    (φ ∘ μ[f | m]) a ≤ μ[φ ∘ f | m] a

Tactic:
hc

Goal state after:
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
inst✝¹ : CompleteSpace E
α : Type u_2
f : α → E
φ : E → ℝ
m mα : MeasurableSpace α
μ : Measure α
s : Set E
hm : m ≤ mα
inst✝ : SigmaFinite (μ.trim hm)
hφ_cvx : ConvexOn ℝ s φ
hφ_cont : LowerSemicontinuousOn φ s
hf : ∀ᵐ (a : α) ∂μ, f a ∈ s
hs : IsClosed s
hf_int : Integrable f μ
hφ_int : Integrable (φ ∘ f) μ
n : ℕ
h1 : (μ.restrict (spanningSets (μ.trim hm) n))[f | m] =ᵐ[μ.restrict (spanningSets (μ.trim hm) n)] μ[f | m]
h2 : (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] =ᵐ[μ.restrict (spanningSets (μ.trim hm) n)] μ[φ ∘ f | m]
this : IsFiniteMeasure (μ.restrict (spanningSets (μ.trim hm) n))
h3 :
  φ ∘ (μ.restrict (spanningSets (μ.trim hm) n))[f | m] ≤ᵐ[μ.restrict (spanningSets (μ.trim hm) n)]
    (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m]
a : α
ha : (μ.restrict (spanningSets (μ.trim hm) n))[f | m] a = μ[f | m] a
hb : (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] a = μ[φ ∘ f | m] a
hc : (φ ∘ (μ.restrict (spanningSets (μ.trim hm) n))[f | m]) a ≤ (μ.restrict (spanningSets (μ.trim hm) n))[φ ∘ f | m] a
⊢ (φ ∘ μ[f | m]) a ≤ μ[φ ∘ f | m] a
Module: Mathlib.LinearAlgebra.AffineSpace.AffineSubspace.Shift

Goal state before:
pp: case mp.refine_1
k : Type u_1
V : Type u_2
P : Type u_3
inst✝³ : Ring k
inst✝² : AddCommGroup V
inst✝¹ : AddTorsor V P
inst✝ : Module k V
s : AffineSubspace k P
p : ↥s
c : P
r : k
h : Nonempty ↥s
q x : P
hx : x ∈ s
heq : (1 - r) • (c -ᵥ ↑⋯.some) +ᵥ x = q
⊢ (1 - r) • (↑p -ᵥ ↑h.some) +ᵥ x ∈ s

Tactic:
exact vadd_mem_of_mem_direction (smul_mem _ _ (vsub_mem_direction p.prop h.some.prop)) hx

Goal state after:
Module: Mathlib.RingTheory.TensorProduct.IsBaseChangeFree

Goal state before:
pp: case h₀
R : Type u_1
inst✝⁸ : CommSemiring R
S : Type u_2
inst✝⁷ : CommSemiring S
inst✝⁶ : Algebra R S
V : Type u_3
inst✝⁵ : AddCommMonoid V
inst✝⁴ : Module R V
W : Type u_4
inst✝³ : AddCommMonoid W
inst✝² : Module R W
inst✝¹ : Module S W
inst✝ : IsScalarTower R S W
ι : Type u_5
ε : V →ₗ[R] W
b : Module.Basis ι R V
ibc : IsBaseChange S ε
v : V
i : ι
⊢ ∀ (b_1 : ι), (b.repr v) b_1 ≠ 0 → b_1 ≠ i → ((basis b ibc).repr ((b.repr v) b_1 • ε (b b_1))) i = 0

Tactic:
intro i' _ h

Goal state after:
case h₀
R : Type u_1
inst✝⁸ : CommSemiring R
S : Type u_2
inst✝⁷ : CommSemiring S
inst✝⁶ : Algebra R S
V : Type u_3
inst✝⁵ : AddCommMonoid V
inst✝⁴ : Module R V
W : Type u_4
inst✝³ : AddCommMonoid W
inst✝² : Module R W
inst✝¹ : Module S W
inst✝ : IsScalarTower R S W
ι : Type u_5
ε : V →ₗ[R] W
b : Module.Basis ι R V
ibc : IsBaseChange S ε
v : V
i i' : ι
a✝ : (b.repr v) i' ≠ 0
h : i' ≠ i
⊢ ((basis b ibc).repr ((b.repr v) i' • ε (b i'))) i = 0
Module: Mathlib.LinearAlgebra.AffineSpace.AffineSubspace.Shift

Goal state before:
pp: k : Type u_1
V : Type u_2
P : Type u_3
inst✝³ : CommRing k
inst✝² : AddCommGroup V
inst✝¹ : AddTorsor V P
inst✝ : Module k V
s : AffineSubspace k P
c : P
r : k
hr : IsUnit r
t : k
ht : r * t = 1
h✝ : (↑s).Nonempty
h : Nonempty ↥s
p : P
this : (∃ y ∈ s, (1 - r) • (c -ᵥ ↑h.some) +ᵥ y = p) ↔ ∃ y ∈ s, r • (y -ᵥ c) +ᵥ c = p
⊢ p ∈ map (↑(AffineEquiv.constVAdd k P ((1 - r) • (c -ᵥ ↑h.some)))) s ↔ p ∈ map (homothety c r) s

Tactic:
simpa [homothety_def]

Goal state after: