mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Integral.RieszMarkovKakutani.Real

Goal state before:
pp: X : Type u_1
inst✝⁴ : TopologicalSpace X
inst✝³ : T2Space X
inst✝² : MeasurableSpace X
inst✝¹ : BorelSpace X
Λ : (X →C_c ℝ) →ₚ[ℝ] ℝ
inst✝ : LocallyCompactSpace X
f : X →C_c ℝ
μ : Measure X := rieszMeasure Λ
K : Set X := tsupport ⇑f
ε : ℝ
hε : 0 < ε
a b : ℝ
hab : a < b ∧ range ⇑f ⊆ Ioo a b
N : ℕ
hN : 0 < N
ε' : ℝ := (b - a) / ↑N
hε' : 0 < ε' ∧ ε' * (2 * μ.real K + |a| + b + ε') ≤ ε
E : Fin N → Set X
hE :
  tsupport ⇑f = ⋃ j, E j ∧
    univ.PairwiseDisjoint E ∧
      (∀ (n : Fin N), ∀ x ∈ E n, a + ε' * ↑↑n < f x ∧ f x ≤ a + ε' * (↑↑n + 1)) ∧ ∀ (n : Fin N), MeasurableSet (E n)
y : Fin N → ℝ := fun n ↦ a + ε' * (↑↑n + 1)
hE' : ∀ (n : Fin N), μ (E n) ≠ ∞
V : Fin N → Opens X
hV : ∀ (n : Fin N), E n ⊆ ↑(V n) ∧ (∀ x ∈ V n, f x < y n + ε') ∧ μ ↑(V n) ≤ μ (E n) + ENNReal.ofReal (ε' / ↑N)
g : Fin N → X →C_c ℝ
hg :
  (∀ (n : Fin N), tsupport ⇑(g n) ⊆ (V n).carrier) ∧
    EqOn (∑ n, ⇑(g n)) 1 (tsupport f.toFun) ∧
      (∀ (n : Fin N) (x : X), (g n) x ∈ Icc 0 1) ∧ ∀ (n : Fin N), HasCompactSupport ⇑(g n)
n : Fin N
⊢ ↑↑n + 1 ≤ ↑N

Tactic:
norm_cast

Goal state after:
X : Type u_1
inst✝⁴ : TopologicalSpace X
inst✝³ : T2Space X
inst✝² : MeasurableSpace X
inst✝¹ : BorelSpace X
Λ : (X →C_c ℝ) →ₚ[ℝ] ℝ
inst✝ : LocallyCompactSpace X
f : X →C_c ℝ
μ : Measure X := rieszMeasure Λ
K : Set X := tsupport ⇑f
ε : ℝ
hε : 0 < ε
a b : ℝ
hab : a < b ∧ range ⇑f ⊆ Ioo a b
N : ℕ
hN : 0 < N
ε' : ℝ := (b - a) / ↑N
hε' : 0 < ε' ∧ ε' * (2 * μ.real K + |a| + b + ε') ≤ ε
E : Fin N → Set X
hE :
  tsupport ⇑f = ⋃ j, E j ∧
    univ.PairwiseDisjoint E ∧
      (∀ (n : Fin N), ∀ x ∈ E n, a + ε' * ↑↑n < f x ∧ f x ≤ a + ε' * (↑↑n + 1)) ∧ ∀ (n : Fin N), MeasurableSet (E n)
y : Fin N → ℝ := fun n ↦ a + ε' * (↑↑n + 1)
hE' : ∀ (n : Fin N), μ (E n) ≠ ∞
V : Fin N → Opens X
hV : ∀ (n : Fin N), E n ⊆ ↑(V n) ∧ (∀ x ∈ V n, f x < y n + ε') ∧ μ ↑(V n) ≤ μ (E n) + ENNReal.ofReal (ε' / ↑N)
g : Fin N → X →C_c ℝ
hg :
  (∀ (n : Fin N), tsupport ⇑(g n) ⊆ (V n).carrier) ∧
    EqOn (∑ n, ⇑(g n)) 1 (tsupport f.toFun) ∧
      (∀ (n : Fin N) (x : X), (g n) x ∈ Icc 0 1) ∧ ∀ (n : Fin N), HasCompactSupport ⇑(g n)
n : Fin N
⊢ ↑n + 1 ≤ N
Module: Mathlib.MeasureTheory.Integral.RieszMarkovKakutani.Real

Goal state before:
pp: X : Type u_1
inst✝⁷ : TopologicalSpace X
inst✝⁶ : T2Space X
inst✝⁵ : MeasurableSpace X
inst✝⁴ : BorelSpace X
μ ν : Measure X
inst✝³ : LocallyCompactSpace X
inst✝² : ν.OuterRegular
inst✝¹ : IsFiniteMeasureOnCompacts ν
inst✝ : IsFiniteMeasureOnCompacts μ
hμν : ∀ (f : X →C_c ℝ), ∫ (x : X), f x ∂μ ≤ ∫ (x : X), f x ∂ν
K : Set X
hK : IsCompact K
ε : NNReal
hε : 0 < ε
hν : ν K < ∞
hνK : ν K ≠ ∞
hμK : μ K ≠ ∞
V : Set X
pV1 : V ⊇ K
pV2 : IsOpen[inst✝⁷] V
pV3 : ν V ≤ ν K + ↑ε
VltTop : ν V < ∞
f : X →C_c ℝ
pf1 : EqOn (⇑f) 1 K
pf2 : tsupport ⇑f ⊆ V
pf3 : ∀ (x : X), f x ∈ Icc 0 1
hfV : ∀ (x : X), f x ≤ V.indicator 1 x
hfK : ∀ (x : X), K.indicator 1 x ≤ f x
⊢ ∫ (x : X), K.indicator 1 x ∂μ ≤ ∫ (x : X), f x ∂μ

Tactic:
refine integral_mono ?_ f.integrable hfK
      exact (continuousOn_const.integrableOn_compact hK).integrable_indicator hK.measurableSet

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

Goal state before:
pp: case neg
Ω : Type u_1
inst✝² : MeasurableSpace Ω
inst✝¹ : PseudoMetricSpace Ω
inst✝ : OpensMeasurableSpace Ω
μs : ℕ → LevyProkhorov (ProbabilityMeasure Ω)
ν : LevyProkhorov (ProbabilityMeasure Ω)
hμs : Tendsto μs atTop (𝓝 ν)
P : ProbabilityMeasure Ω := ν.toMeasure
Ps : ℕ → ProbabilityMeasure Ω := toMeasure ∘ μs
f✝ f : Ω →ᵇ ℝ
f_nn : 0 ≤ f
f_zero : ¬‖f‖ = 0
norm_f_pos : 0 < ‖f‖
δ : ℝ
δ_pos : 0 < δ
εs : ℕ → ℝ
left✝ : StrictAnti εs
εs_pos : ∀ (n : ℕ), 0 < εs n
εs_lim : Tendsto εs atTop (𝓝 0)
ε_of_room : Tendsto (fun x ↦ dist (μs x) ν + εs x) atTop (𝓝 0)
ε_of_room' : Tendsto (fun n ↦ dist (μs n) ν + εs n) atTop (𝓝[>] 0)
key :
  Tendsto ((fun ε ↦ ∫ (t : ℝ) in Ioc 0 ‖f‖, (↑P).real (thickening ε {a | t ≤ f a})) ∘ fun n ↦ dist (μs n) ν + εs n)
    atTop (𝓝 (∫ (t : ℝ) in Ioc 0 ‖f‖, (↑P).real {a | t ≤ f a}))
⊢ ∀ᶠ (n : ℕ) in atTop, ∫ (x : Ω), f x ∂↑(Ps n) ≤ ∫ (x : Ω), f x ∂↑P + δ

Tactic:
have aux : ∀ (z : ℝ), Iio (z + δ / 2) ∈ 𝓝 z := fun z ↦ Iio_mem_nhds (by linarith)

Goal state after:
case neg
Ω : Type u_1
inst✝² : MeasurableSpace Ω
inst✝¹ : PseudoMetricSpace Ω
inst✝ : OpensMeasurableSpace Ω
μs : ℕ → LevyProkhorov (ProbabilityMeasure Ω)
ν : LevyProkhorov (ProbabilityMeasure Ω)
hμs : Tendsto μs atTop (𝓝 ν)
P : ProbabilityMeasure Ω := ν.toMeasure
Ps : ℕ → ProbabilityMeasure Ω := toMeasure ∘ μs
f✝ f : Ω →ᵇ ℝ
f_nn : 0 ≤ f
f_zero : ¬‖f‖ = 0
norm_f_pos : 0 < ‖f‖
δ : ℝ
δ_pos : 0 < δ
εs : ℕ → ℝ
left✝ : StrictAnti εs
εs_pos : ∀ (n : ℕ), 0 < εs n
εs_lim : Tendsto εs atTop (𝓝 0)
ε_of_room : Tendsto (fun x ↦ dist (μs x) ν + εs x) atTop (𝓝 0)
ε_of_room' : Tendsto (fun n ↦ dist (μs n) ν + εs n) atTop (𝓝[>] 0)
key :
  Tendsto ((fun ε ↦ ∫ (t : ℝ) in Ioc 0 ‖f‖, (↑P).real (thickening ε {a | t ≤ f a})) ∘ fun n ↦ dist (μs n) ν + εs n)
    atTop (𝓝 (∫ (t : ℝ) in Ioc 0 ‖f‖, (↑P).real {a | t ≤ f a}))
aux : ∀ (z : ℝ), Iio (z + δ / 2) ∈ 𝓝 z
⊢ ∀ᶠ (n : ℕ) in atTop, ∫ (x : Ω), f x ∂↑(Ps n) ≤ ∫ (x : Ω), f x ∂↑P + δ
Module: Mathlib.MeasureTheory.Measure.Haar.Extension

Goal state before:
pp: A : Type u_1
B : Type u_2
C : Type u_3
E : Type u_4
inst✝¹³ : Group A
inst✝¹² : Group B
inst✝¹¹ : Group C
inst✝¹⁰ : TopologicalSpace A
inst✝⁹ : TopologicalSpace B
inst✝⁸ : TopologicalSpace C
φ : A →* B
ψ : B →* C
H : IsSES φ ψ
inst✝⁷ : IsTopologicalGroup A
inst✝⁶ : IsTopologicalGroup B
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : MeasurableSpace A
inst✝³ : BorelSpace A
μA : Measure A
hμA : μA.IsHaarMeasure
inst✝² : NormedSpace ℝ E
inst✝¹ : IsTopologicalGroup C
inst✝ : LocallyCompactSpace B
f : CompactlySupportedContinuousMap B E
this : UniformSpace B := IsTopologicalGroup.rightUniformSpace B
ε : ℝ
hε : ε > 0
U₀ : Set B
hU₀ : IsCompact U₀
K : Set B
hK : IsCompact K
hf₀ : ∀ x ∉ K, f x = 0
S : Set A := ⇑φ ⁻¹' (U₀⁻¹ * K)
hSc : IsCompact S
δ : ℝ
hδ0 : δ > 0
hδ : ENNReal.ofReal δ * μA S < ENNReal.ofReal ε
hS : ∀ {x : B}, x ∈ U₀ → ∀ {y : A}, y ∉ S → (H.pullback f x) y = 0
ha : ∀ r ∈ uniformity E, ∀ᶠ (x : B × B) in uniformity B, (f x.1, f x.2) ∈ r
U : Set B
hU : U ∈ nhds 1
hf : (fun p ↦ p.2 * p.1⁻¹) ⁻¹' U ⊆ {x | (fun x ↦ (f x.1, f x.2) ∈ {p | dist p.1 p.2 < δ}) x}
t : B
ht : t ∈ U⁻¹
b : B
hb : U₀ ∈ nhds b
htb : (fun x1 x2 ↦ x1 * x2) t b ∈ U₀
h : ∀ a ∈ S, edist ((H.pullback f (t * b)) a) ((H.pullback f b) a) ≤ ENNReal.ofReal δ
⊢ (Function.support fun a ↦ edist ((H.pullback f (t * b)) a) ((H.pullback f b) a)) ⊆ S

Tactic:
intro y hy
        contrapose hy
        rw [Function.notMem_support, hS htb hy, hS (mem_of_mem_nhds hb) hy, edist_self]

Goal state after:
Module: Mathlib.MeasureTheory.Measure.Haar.Extension

Goal state before:
pp: A : Type u_1
B : Type u_2
C : Type u_3
E : Type u_4
inst✝¹⁸ : Group A
inst✝¹⁷ : Group B
inst✝¹⁶ : Group C
inst✝¹⁵ : TopologicalSpace A
inst✝¹⁴ : TopologicalSpace B
inst✝¹³ : TopologicalSpace C
φ : A →* B
ψ : B →* C
H : IsSES φ ψ
inst✝¹² : IsTopologicalGroup A
inst✝¹¹ : IsTopologicalGroup B
inst✝¹⁰ : NormedAddCommGroup E
inst✝⁹ : MeasurableSpace A
inst✝⁸ : BorelSpace A
μA : Measure A
hμA : μA.IsHaarMeasure
inst✝⁷ : NormedSpace ℝ E
inst✝⁶ : IsTopologicalGroup C
inst✝⁵ : LocallyCompactSpace B
inst✝⁴ : MeasurableSpace C
inst✝³ : BorelSpace C
μC : Measure C
hμC : μC.IsHaarMeasure
inst✝² : T2Space B
inst✝¹ : MeasurableSpace B
inst✝ : BorelSpace B
U : Set B
hU : IsOpen U
b : B
hb✝ : b ∈ U
K : Set B
hK : IsCompact K
hb : b ∈ interior K
hKU : K ⊆ U
f : C(B, ℝ)
hf1 : Set.EqOn (⇑f) 1 K
hf2 : IsCompact (tsupport ⇑f)
hf3 : tsupport ⇑f ⊆ U
hf4 : ∀ (x : B), f x ∈ Set.Icc 0 1
hf0 : 0 ≤ (H.pushforward μA) { toContinuousMap := f, hasCompactSupport' := hf2 }
a : A
ha : φ a = (Function.invFun (⇑ψ) (ψ b))⁻¹ * b
⊢ 0 < ((H.pushforward μA) { toContinuousMap := f, hasCompactSupport' := hf2 }) (ψ b)

Tactic:
replace ha : f (Function.invFun ψ (ψ b) * φ a) ≠ 0 := by simp [ha, hf1 (interior_subset hb)]

Goal state after:
A : Type u_1
B : Type u_2
C : Type u_3
E : Type u_4
inst✝¹⁸ : Group A
inst✝¹⁷ : Group B
inst✝¹⁶ : Group C
inst✝¹⁵ : TopologicalSpace A
inst✝¹⁴ : TopologicalSpace B
inst✝¹³ : TopologicalSpace C
φ : A →* B
ψ : B →* C
H : IsSES φ ψ
inst✝¹² : IsTopologicalGroup A
inst✝¹¹ : IsTopologicalGroup B
inst✝¹⁰ : NormedAddCommGroup E
inst✝⁹ : MeasurableSpace A
inst✝⁸ : BorelSpace A
μA : Measure A
hμA : μA.IsHaarMeasure
inst✝⁷ : NormedSpace ℝ E
inst✝⁶ : IsTopologicalGroup C
inst✝⁵ : LocallyCompactSpace B
inst✝⁴ : MeasurableSpace C
inst✝³ : BorelSpace C
μC : Measure C
hμC : μC.IsHaarMeasure
inst✝² : T2Space B
inst✝¹ : MeasurableSpace B
inst✝ : BorelSpace B
U : Set B
hU : IsOpen U
b : B
hb✝ : b ∈ U
K : Set B
hK : IsCompact K
hb : b ∈ interior K
hKU : K ⊆ U
f : C(B, ℝ)
hf1 : Set.EqOn (⇑f) 1 K
hf2 : IsCompact (tsupport ⇑f)
hf3 : tsupport ⇑f ⊆ U
hf4 : ∀ (x : B), f x ∈ Set.Icc 0 1
hf0 : 0 ≤ (H.pushforward μA) { toContinuousMap := f, hasCompactSupport' := hf2 }
a : A
ha : f (Function.invFun (⇑ψ) (ψ b) * φ a) ≠ 0
⊢ 0 < ((H.pushforward μA) { toContinuousMap := f, hasCompactSupport' := hf2 }) (ψ b)
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
p : ℝ × ℝ
⊢ ‖Function.uncurry (fun x y ↦ cexp (↑x * ↑y * I)) (p.1, p.2)‖ = 1

Tactic:
norm_cast

Goal state after:
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
p : ℝ × ℝ
⊢ ‖Function.uncurry (fun x y ↦ cexp (↑(x * y) * I)) (p.1, p.2)‖ = 1
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: case neg.refine_2
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
y : ℝ
hy : ¬y = 0
h : ↑y * ∫ (x : ℝ) in -r..r, cexp (↑y * ↑x * I) = ∫ (x : ℝ) in -(y * r)..y * r, cexp (↑x * I)
⊢ ∫ (x : ℝ) in -r..r, cexp (↑x * ↑y * I) = (↑y)⁻¹ * ↑y * ∫ (x : ℝ) in -r..r, cexp (↑y * ↑x * I)

Tactic:
norm_cast

Goal state after:
case neg.refine_2
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
y : ℝ
hy : ¬y = 0
h : ↑y * ∫ (x : ℝ) in -r..r, cexp (↑y * ↑x * I) = ∫ (x : ℝ) in -(y * r)..y * r, cexp (↑x * I)
⊢ ∫ (x : ℝ) in -r..r, cexp (↑(x * y) * I) = ↑(y⁻¹ * y) * ∫ (x : ℝ) in -r..r, cexp (↑(y * x) * I)
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: case neg
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
y : ℝ
hry : ¬r * y = 0
hy : y ≠ 0
⊢ ↑y⁻¹ * (2 * ↑(y * r) * ↑(sinc (y * r))) = 2 * ↑r * ↑(sinc (r * y))

Tactic:
norm_cast

Goal state after:
case neg
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
y : ℝ
hry : ¬r * y = 0
hy : y ≠ 0
⊢ y⁻¹ * (2 * (y * r) * sinc (y * r)) = 2 * r * sinc (r * y)
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
⊢ ∫ (x : ℝ), 2 * ↑r * ↑(sinc (r * x)) ∂μ = 2 * ↑r * ↑(∫ (x : ℝ), sinc (r * x) ∂μ)

Tactic:
norm_cast

Goal state after:
μ : Measure ℝ
r : ℝ
inst✝ : IsFiniteMeasure μ
hr : 0 < r
h_int : Integrable (Function.uncurry fun x y ↦ cexp (↑x * ↑y * I)) ((volume.restrict (Set.uIoc (-r) r)).prod μ)
⊢ ∫ (x : ℝ), 2 * r * sinc (r * x) ∂μ = 2 * r * ∫ (x : ℝ), sinc (r * x) ∂μ
Module: Mathlib.MeasureTheory.Measure.IntegralCharFun

Goal state before:
pp: μ : Measure ℝ
r : ℝ
inst✝ : IsProbabilityMeasure μ
hr : 0 < r
integrable_sinc_const_mul : ∀ (r : ℝ), Integrable (fun x ↦ sinc (r * x)) μ
⊢ 2 * ‖∫ (x : ℝ), 1 - sinc (2 * r⁻¹ * x) ∂μ‖ =
    2⁻¹ * r * ‖2 * (↑r)⁻¹ + 2 * ↑r⁻¹ - 2 * (2 * ↑r⁻¹) * ↑(∫ (x : ℝ), sinc (2 * r⁻¹ * x) ∂μ)‖

Tactic:
norm_cast

Goal state after:
μ : Measure ℝ
r : ℝ
inst✝ : IsProbabilityMeasure μ
hr : 0 < r
integrable_sinc_const_mul : ∀ (r : ℝ), Integrable (fun x ↦ sinc (r * x)) μ
⊢ 2 * ‖∫ (x : ℝ), 1 - sinc (2 * r⁻¹ * x) ∂μ‖ =
    2⁻¹ * r * ‖2 * r⁻¹ + 2 * r⁻¹ - 2 * (2 * r⁻¹) * ∫ (x : ℝ), sinc (2 * r⁻¹ * x) ∂μ‖
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: ι : Type u_1
inst✝ : Fintype ι
p : ℝ
hp : 1 ≤ p
h₁ : 0 < p
this✝ : (ENNReal.ofReal p).toReal = p
h₂ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
eq_norm : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = (∑ i, ‖x i‖ ^ p) ^ (1 / p)
this : Fact (1 ≤ ENNReal.ofReal p)
nm_zero : ‖toLp (ENNReal.ofReal p) 0‖ = 0
eq_zero : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = 0 ↔ x = 0
nm_neg : ∀ (x : ι → ℂ), ‖-toLp (ENNReal.ofReal p) x‖ = ‖toLp (ENNReal.ofReal p) x‖
⊢ volume {x | ∑ i, ‖x i‖ ^ p < 1} =
    ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))

Tactic:
have nm_add := fun x y : ι → ℂ => norm_add_le (toLp (.ofReal p) x) (toLp (.ofReal p) y)

Goal state after:
ι : Type u_1
inst✝ : Fintype ι
p : ℝ
hp : 1 ≤ p
h₁ : 0 < p
this✝ : (ENNReal.ofReal p).toReal = p
h₂ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
eq_norm : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = (∑ i, ‖x i‖ ^ p) ^ (1 / p)
this : Fact (1 ≤ ENNReal.ofReal p)
nm_zero : ‖toLp (ENNReal.ofReal p) 0‖ = 0
eq_zero : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = 0 ↔ x = 0
nm_neg : ∀ (x : ι → ℂ), ‖-toLp (ENNReal.ofReal p) x‖ = ‖toLp (ENNReal.ofReal p) x‖
nm_add :
  ∀ (x y : ι → ℂ),
    ‖toLp (ENNReal.ofReal p) x + toLp (ENNReal.ofReal p) y‖ ≤ ‖toLp (ENNReal.ofReal p) x‖ + ‖toLp (ENNReal.ofReal p) y‖
⊢ volume {x | ∑ i, ‖x i‖ ^ p < 1} =
    ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: case e'_2
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : 0 < r
⊢ {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = {a | ∑ x, |r|⁻¹ ^ p * ‖a x‖ ^ p < 1}

Tactic:
inv_rpow
        (abs_nonneg _),

Goal state after:
case e'_2
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : 0 < r
⊢ {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = {a | ∑ x, (|r| ^ p)⁻¹ * ‖a x‖ ^ p < 1}
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: case e'_2
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : 0 < r
⊢ {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = {a | (r ^ p)⁻¹ * ∑ i, ‖a i‖ ^ p < 1}

Tactic:
inv_mul_lt_iff₀
        (rpow_pos_of_pos hr _),

Goal state after:
case e'_2
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : ∀ (x : ι → ℂ), 0 ≤ ∑ i, ‖x i‖ ^ p
h₂ : ∀ (x : ι → ℂ), 0 ≤ (∑ i, ‖x i‖ ^ p) ^ (1 / p)
hr : 0 < r
⊢ {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) < r} = {a | ∑ i, ‖a i‖ ^ p < r ^ p * 1}
Module: Mathlib.MeasureTheory.Measure.Lebesgue.VolumeOfBalls

Goal state before:
pp: ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : 0 < p
this✝ : (ENNReal.ofReal p).toReal = p
eq_norm : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = (∑ i, ‖x i‖ ^ p) ^ (1 / p)
this : Fact (1 ≤ ENNReal.ofReal p)
nm_zero : ‖toLp (ENNReal.ofReal p) 0‖ = 0
eq_zero : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = 0 ↔ x = 0
nm_neg : ∀ (x : ι → ℂ), ‖-toLp (ENNReal.ofReal p) x‖ = ‖toLp (ENNReal.ofReal p) x‖
⊢ volume {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ (2 * card ι) *
      ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))

Tactic:
have nm_add := fun x y : ι → ℂ => norm_add_le (toLp (.ofReal p) x) (toLp (.ofReal p) y)

Goal state after:
ι : Type u_1
inst✝¹ : Fintype ι
inst✝ : Nonempty ι
p : ℝ
hp : 1 ≤ p
r : ℝ
h₁ : 0 < p
this✝ : (ENNReal.ofReal p).toReal = p
eq_norm : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = (∑ i, ‖x i‖ ^ p) ^ (1 / p)
this : Fact (1 ≤ ENNReal.ofReal p)
nm_zero : ‖toLp (ENNReal.ofReal p) 0‖ = 0
eq_zero : ∀ (x : ι → ℂ), ‖toLp (ENNReal.ofReal p) x‖ = 0 ↔ x = 0
nm_neg : ∀ (x : ι → ℂ), ‖-toLp (ENNReal.ofReal p) x‖ = ‖toLp (ENNReal.ofReal p) x‖
nm_add :
  ∀ (x y : ι → ℂ),
    ‖toLp (ENNReal.ofReal p) x + toLp (ENNReal.ofReal p) y‖ ≤ ‖toLp (ENNReal.ofReal p) x‖ + ‖toLp (ENNReal.ofReal p) y‖
⊢ volume {x | (∑ i, ‖x i‖ ^ p) ^ (1 / p) ≤ r} =
    ENNReal.ofReal r ^ (2 * card ι) *
      ENNReal.ofReal ((π * Real.Gamma (2 / p + 1)) ^ card ι / Real.Gamma (2 * ↑(card ι) / p + 1))
Module: Mathlib.MeasureTheory.Measure.MeasuredSets

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
hC : IsSetSemiring C
h'C : ∃ D, D.Countable ∧ D ⊆ C ∧ μ (⋃₀ D)ᶜ = 0
h : mα = generateFrom C
s : Set α
hs : MeasurableSet s
ε : ℝ≥0∞
hε : 0 < ε
⊢ ∃ D, D.Countable ∧ D ⊆ supClosure C ∧ μ (⋃₀ D)ᶜ = 0

pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
hC : IsSetSemiring C
h'C : ∃ D, D.Countable ∧ D ⊆ C ∧ μ (⋃₀ D)ᶜ = 0
h : mα = generateFrom C
s : Set α
hs : MeasurableSet s
ε : ℝ≥0∞
hε : 0 < ε
⊢ mα = generateFrom (supClosure C)

Tactic:
· rcases h'C with ⟨D, D_count, DC, hD⟩
    exact ⟨D, D_count, DC.trans subset_supClosure, hD⟩

Goal state after:
α : Type u_1
mα : MeasurableSpace α
μ : Measure α
inst✝ : IsFiniteMeasure μ
C : Set (Set α)
hC : IsSetSemiring C
h'C : ∃ D, D.Countable ∧ D ⊆ C ∧ μ (⋃₀ D)ᶜ = 0
h : mα = generateFrom C
s : Set α
hs : MeasurableSet s
ε : ℝ≥0∞
hε : 0 < ε
⊢ mα = generateFrom (supClosure C)
Module: Mathlib.MeasureTheory.Measure.PreVariation

Goal state before:
pp: X : Type u_1
inst✝ : MeasurableSpace X
f : Set X → ℝ≥0∞
s : ℕ → Set X
hs : ∀ (i : ℕ), MeasurableSet (s i)
hs' : Pairwise (Disjoint on s)
n : ℕ
hn : ¬n = 0
ε' : ℝ≥0
hε' : 0 < ε'
hsnetop : preVariationFun f (⋃ i, s i) < ∞
ε : ℝ≥0 := ε' / ↑n
hε : 0 < ε
hs'' : ∀ (i : ℕ), preVariationFun f (s i) ≠ ∞
P : (i : ℕ) → Finpartition ⟨s i, ⋯⟩
hP : ∀ (i : ℕ), preVariationFun f (s i) ≤ ∑ p ∈ (P i).parts, f ↑p + ↑ε
⊢ ∑ x ∈ Finset.range n, ∑ p ∈ (P x).parts, f ↑p + ∑ x ∈ Finset.range n, ↑ε =
    ∑ i ∈ Finset.range n, ∑ p ∈ (P i).parts, f ↑p + ↑ε'

Tactic:
norm_cast

Goal state after:
X : Type u_1
inst✝ : MeasurableSpace X
f : Set X → ℝ≥0∞
s : ℕ → Set X
hs : ∀ (i : ℕ), MeasurableSet (s i)
hs' : Pairwise (Disjoint on s)
n : ℕ
hn : ¬n = 0
ε' : ℝ≥0
hε' : 0 < ε'
hsnetop : preVariationFun f (⋃ i, s i) < ∞
ε : ℝ≥0 := ε' / ↑n
hε : 0 < ε
hs'' : ∀ (i : ℕ), preVariationFun f (s i) ≠ ∞
P : (i : ℕ) → Finpartition ⟨s i, ⋯⟩
hP : ∀ (i : ℕ), preVariationFun f (s i) ≤ ∑ p ∈ (P i).parts, f ↑p + ↑ε
⊢ ∑ x ∈ Finset.range n, ∑ p ∈ (P x).parts, f ↑p + ↑(∑ i ∈ Finset.range n, ε) =
    ∑ x ∈ Finset.range n, ∑ p ∈ (P x).parts, f ↑p + ↑ε'
Module: Mathlib.MeasureTheory.Measure.Prokhorov

Goal state before:
pp: E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
C : ℝ≥0
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
I :
  ∀ (μ : FiniteMeasure E) (n : ℕ),
    ∑ i ∈ Finset.range (n + 1), μ.restrict (disjointed K i) = μ.restrict ((partialSups K) n)
A : ∀ (n : ℕ), IsCompact ((partialSups K) n)
f : Ultrafilter (FiniteMeasure E)
hf : {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∈ f
ν : ℕ → FiniteMeasure E
ν_reg : ∀ (n : ℕ), (↑(ν n)).InnerRegular
νK : ∀ (n : ℕ), (ν n) ((partialSups K) n)ᶜ = 0
hν : ∀ (n : ℕ), Tendsto (fun ρ ↦ ρ.restrict (disjointed K n)) (↑f) (𝓝 (ν n))
B : (Measure.sum fun n ↦ ↑(ν n)) univ ≤ ↑C
μ : FiniteMeasure E := ⟨Measure.sum fun n ↦ ↑(ν n), ⋯⟩
L : Tendsto id (↑f) (𝓝 μ)
n : ℕ
h : Monotone K
this : Tendsto (fun m ↦ ∑ i ∈ Finset.range (m + 1), ↑(ν i) (K n)ᶜ) atTop (𝓝 (∑' (i : ℕ), ↑(ν i) (K n)ᶜ))
m : ℕ
hm : n ≤ m
⊢ ∀ x ≤ m, x ≤ n → (ν x) (K n)ᶜ = 0

Tactic:
intro i

Goal state after:
E : Type u_1
inst✝³ : MeasurableSpace E
inst✝² : TopologicalSpace E
inst✝¹ : T2Space E
inst✝ : BorelSpace E
u : ℕ → ℝ≥0
K : ℕ → Set E
C : ℝ≥0
hu : Tendsto u atTop (𝓝 0)
hK : ∀ (n : ℕ), IsCompact (K n)
I :
  ∀ (μ : FiniteMeasure E) (n : ℕ),
    ∑ i ∈ Finset.range (n + 1), μ.restrict (disjointed K i) = μ.restrict ((partialSups K) n)
A : ∀ (n : ℕ), IsCompact ((partialSups K) n)
f : Ultrafilter (FiniteMeasure E)
hf : {μ | μ.mass ≤ C ∧ ∀ (n : ℕ), μ (K n)ᶜ ≤ u n} ∈ f
ν : ℕ → FiniteMeasure E
ν_reg : ∀ (n : ℕ), (↑(ν n)).InnerRegular
νK : ∀ (n : ℕ), (ν n) ((partialSups K) n)ᶜ = 0
hν : ∀ (n : ℕ), Tendsto (fun ρ ↦ ρ.restrict (disjointed K n)) (↑f) (𝓝 (ν n))
B : (Measure.sum fun n ↦ ↑(ν n)) univ ≤ ↑C
μ : FiniteMeasure E := ⟨Measure.sum fun n ↦ ↑(ν n), ⋯⟩
L : Tendsto id (↑f) (𝓝 μ)
n : ℕ
h : Monotone K
this : Tendsto (fun m ↦ ∑ i ∈ Finset.range (m + 1), ↑(ν i) (K n)ᶜ) atTop (𝓝 (∑' (i : ℕ), ↑(ν i) (K n)ᶜ))
m : ℕ
hm : n ≤ m
i : ℕ
⊢ i ≤ m → i ≤ n → (ν i) (K n)ᶜ = 0
Module: Mathlib.MeasureTheory.Measure.ResolventTransform

Goal state before:
pp: 𝕜 : Type u_1
A : Type u_2
inst✝⁷ : NontriviallyNormedField 𝕜
inst✝⁶ : MeasurableSpace 𝕜
a : A
inst✝⁵ : OpensMeasurableSpace 𝕜
inst✝⁴ : NormedRing A
inst✝³ : NormedAlgebra 𝕜 A
inst✝² : CompleteSpace A
inst✝¹ : MeasurableSpace A
inst✝ : BorelSpace A
⊢ Measurable (resolvent a)

Tactic:
have h1 : ContinuousOn (resolvent (R := 𝕜) a) (resolventSet 𝕜 a) :=
    HasDerivAt.continuousOn (fun _ hx ↦ hasDerivAt_resolvent_const_left hx)

Goal state after:
𝕜 : Type u_1
A : Type u_2
inst✝⁷ : NontriviallyNormedField 𝕜
inst✝⁶ : MeasurableSpace 𝕜
a : A
inst✝⁵ : OpensMeasurableSpace 𝕜
inst✝⁴ : NormedRing A
inst✝³ : NormedAlgebra 𝕜 A
inst✝² : CompleteSpace A
inst✝¹ : MeasurableSpace A
inst✝ : BorelSpace A
h1 : ContinuousOn (resolvent a) (resolventSet 𝕜 a)
⊢ Measurable (resolvent a)
Module: Mathlib.MeasureTheory.Measure.LevyConvergence

Goal state before:
pp: E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : InnerProductSpace ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
ι : Type u_2
𝓕 : Filter ι
μ₀ : ProbabilityMeasure E
μ : ι → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ n)) t) 𝓕 (𝓝 (charFun (↑μ₀) t))
g : E →ᵇ ℂ
w : AddMonoidAlgebra ℂ E
hw : ⇑g = fun x ↦ w.coeff.sum fun a z ↦ z * ↑(probChar (((innerₗ E) x) a))
h_eq :
  ∀ (μ : Measure E),
    IsProbabilityMeasure μ → ∫ (x : E), g x ∂μ = w.coeff.sum fun a z ↦ z * ∫ (x : E), ↑(probChar (((innerₗ E) x) a)) ∂μ
⊢ Tendsto (fun n ↦ ∫ (x : E), g x ∂↑(μ n)) 𝓕 (𝓝 (∫ (x : E), g x ∂↑μ₀))

Tactic:
h_eq (μ _),

Goal state after:
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : InnerProductSpace ℝ E
inst✝¹ : MeasurableSpace E
inst✝ : BorelSpace E
ι : Type u_2
𝓕 : Filter ι
μ₀ : ProbabilityMeasure E
μ : ι → ProbabilityMeasure E
h : ∀ (t : E), Tendsto (fun n ↦ charFun (↑(μ n)) t) 𝓕 (𝓝 (charFun (↑μ₀) t))
g : E →ᵇ ℂ
w : AddMonoidAlgebra ℂ E
hw : ⇑g = fun x ↦ w.coeff.sum fun a z ↦ z * ↑(probChar (((innerₗ E) x) a))
h_eq :
  ∀ (μ : Measure E),
    IsProbabilityMeasure μ → ∫ (x : E), g x ∂μ = w.coeff.sum fun a z ↦ z * ∫ (x : E), ↑(probChar (((innerₗ E) x) a)) ∂μ
⊢ Tendsto (fun n ↦ w.coeff.sum fun a z ↦ z * ∫ (x : E), ↑(probChar (((innerₗ E) x) a)) ∂↑(μ n)) 𝓕
    (𝓝 (∫ (x : E), g x ∂↑μ₀))
Module: Mathlib.MeasureTheory.Measure.SubFinite

Goal state before:
pp: α : Type u_1
mα : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
inst✝ : IsFiniteMeasure (μ.withDensity g)
hf : Measurable f
hg : Measurable g
t : Set α := {x | f x ≤ g x}
ht : MeasurableSet t
x : α
hx : x ∈ t
⊢ (f - g) x = 0 x

Tactic:
simpa [tsub_eq_zero_iff_le]

Goal state after: