mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.Normed.Module.Connected

Goal state before:
pp: case e'_4
E : Type u_1
inst✝⁴ : AddCommGroup E
inst✝³ : Module ℝ E
inst✝² : TopologicalSpace E
inst✝¹ : ContinuousAdd E
inst✝ : ContinuousSMul ℝ E
h : 1 < Module.rank ℝ E
s : Set E
hs : s.Countable
this : Nontrivial E
a : E
ha : a ∈ sᶜ
b : E
hb : b ∈ sᶜ
hab : a ≠ b
c : E := 2⁻¹ • (a + b)
x : E := 2⁻¹ • (b - a)
Ia : c - x = a
Ib : c + x = b
x_ne_zero : x ≠ 0
y : E
hy : LinearIndependent ℝ ![x, y]
A : {t | ([c + x -[ℝ] c + t • y] ∩ s).Nonempty}.Countable
t t' : ℝ
htt' : t ≠ t'
N : {c - x} ∩ s = ∅
⊢ ![-x, y] = ![-1, 1] • ![x, y]

Tactic:
simp [← List.ofFn_inj]

Goal state after:
Module: Mathlib.Analysis.AbsoluteValue.Equivalence

Goal state before:
pp: case pos.inr.inr
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
hw : w.IsNontrivial
a : F
ha₀ : a ≠ 0
ha₁ : w a ≠ 1
b : F
hb₀ : b ≠ 0
hb₁ : w b ≠ 1
⊢ rexp (log (w b)) = w b

Tactic:
exp_log (w.pos hb₀)

Goal state after:
case pos.inr.inr
F : Type u_1
inst✝ : Field F
v w : AbsoluteValue F ℝ
h : v.IsEquiv w
hw : w.IsNontrivial
a : F
ha₀ : a ≠ 0
ha₁ : w a ≠ 1
b : F
hb₀ : b ≠ 0
hb₁ : w b ≠ 1
⊢ w b = w b
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case pos
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
z₀ : 𝕜
hf : AnalyticAt 𝕜 f z₀
⊢ analyticOrderAt f z₀ = 0 ↔ ¬AnalyticAt 𝕜 f z₀ ∨ f z₀ ≠ 0

Tactic:
rw [← ENat.natCast_zero, hf.analyticOrderAt_eq_natCast]
    constructor
    · intro ⟨g, _, _, hg⟩
      simpa [hf, hg.self_of_nhds]
    · exact fun hz ↦ ⟨f, hf, hz.resolve_left <| not_not_intro hf, by simp⟩

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f g : 𝕜 → E
z₀ : 𝕜
⊢ min (analyticOrderAt f z₀) (analyticOrderAt g z₀) ≤ analyticOrderAt (f - g) z₀

Tactic:
simpa [sub_eq_add_neg] using le_analyticOrderAt_add (f := f) (g := -g)

Goal state after:
Module: Mathlib.Analysis.Analytic.Order

Goal state before:
pp: case a
𝕜 : Type u_1
E : Type u_2
inst✝² : NontriviallyNormedField 𝕜
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f : 𝕜 → E
x : 𝕜
hf : AnalyticAt 𝕜 f x
hf' : deriv f x ≠ 0
r : ℕ
h : analyticOrderAt (fun x_1 ↦ f x_1 - f x) x = ↑r
F : 𝕜 → E
hFa : AnalyticAt 𝕜 F x
hFne : F x ≠ 0
hfF : ∀ᶠ (z : 𝕜) in 𝓝 x, f z - f x = (z - x) ^ r • F z
⊢ r ≤ 1

Tactic:
· contrapose! hf'
      simp_rw [sub_eq_iff_eq_add] at hfF
      rw [EventuallyEq.deriv_eq hfF, deriv_add_const, deriv_fun_smul (by fun_prop) (by fun_prop),
        deriv_fun_pow (by fun_prop), sub_self, zero_pow (by lia), zero_pow (by lia),
        mul_zero, zero_mul, zero_smul, zero_smul, add_zero]

Goal state after:
Module: Mathlib.AlgebraicTopology.SimplicialSet.NerveAdjunction

Goal state before:
pp: X : Truncated 2
C D : Type u
inst✝¹ : SmallCategory C
inst✝ : SmallCategory D
φ : X ⟶ (truncation 2).obj (nerve C)
s : X.obj (op { obj := ⦋1⦌, property := ⋯ })
⊢ (ConcreteCategory.hom ((homToNerveMk (descOfTruncation φ)).app (op { obj := ⦋1⦌, property := ⋯ }))) s =
    (ConcreteCategory.hom (φ.app (op { obj := ⦋1⦌, property := ⋯ }))) s

Tactic:
obtain ⟨x₀, x₁, f, rfl⟩ := Edge.exists_of_simplex s
      dsimp [nerve.homEquiv]
      simp only [homToNerveMk_app_edge, descOfTruncation_obj_mk,
        descOfTruncation_map_homMk]
      refine ComposableArrows.ext₁ ?_ ?_ rfl
      · dsimp [nerveEquiv, ComposableArrows.right]
        simp only [← f.src_eq, NatTrans.naturality_apply]
        rfl
      · dsimp [nerveEquiv, ComposableArrows.right]
        simp only [← f.tgt_eq, NatTrans.naturality_apply]
        rfl

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Complex.Analytic

Goal state before:
pp: case succ
n : ℕ
⊢ -(-1) ^ (n + 1) / ↑(n + 1) = iteratedDeriv (n + 1) log 1 / ↑(n + 1).factorial

Tactic:
simp [iteratedDeriv_succ_log one_mem_slitPlane, Nat.factorial_succ, pow_succ]

Goal state after:
case succ
n : ℕ
⊢ (-1) ^ n / (↑n + 1) = (-1) ^ n * ↑n.factorial / ((↑n + 1) * ↑n.factorial)
Module: Mathlib.Analysis.Calculus.FDeriv.Extend

Goal state before:
pp: case neg
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
F : Type u_2
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace ℝ F
f : E → F
s : Set E
x : E
f' : E →L[ℝ] F
f_diff : DifferentiableOn ℝ f s
s_conv : Convex ℝ s
s_open : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
f_cont : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt f s y
h : Tendsto (fun y ↦ fderiv ℝ f y) (𝓝[s] x) (𝓝 f')
hx : x ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
ε : ℝ
ε_pos : 0 < ε
δ : ℝ
δ_pos : δ > 0
hδ : ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε
B : Set E := ball x δ
⊢ ∀ p ∈ closure[instTopologicalSpaceProd] ((B ∩ s) ×ˢ (B ∩ s)), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖

Tactic:
have key : ∀ p : E × E, p ∈ (B ∩ s) ×ˢ (B ∩ s) →
        ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖ := by
    rintro ⟨u, v⟩ ⟨u_in, v_in⟩
    have conv : Convex ℝ (B ∩ s) := (convex_ball _ _).inter s_conv
    have diff : DifferentiableOn ℝ f (B ∩ s) := f_diff.mono inter_subset_right
    have bound : ∀ z ∈ B ∩ s, ‖fderivWithin ℝ f (B ∩ s) z - f'‖ ≤ ε := by
      intro z z_in
      have h := hδ z
      have : fderivWithin ℝ f (B ∩ s) z = fderiv ℝ f z := by
        have op : IsOpen (B ∩ s) := isOpen_ball.inter s_open
        rw [DifferentiableAt.fderivWithin _ (op.uniqueDiffOn z z_in)]
        exact (diff z z_in).differentiableAt (IsOpen.mem_nhds op z_in)
      rw [← this] at h
      exact le_of_lt (h z_in.2 z_in.1)
    simpa using conv.norm_image_sub_le_of_norm_fderivWithin_le' diff bound u_in v_in

Goal state after:
case neg
E : Type u_1
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace ℝ E
F : Type u_2
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace ℝ F
f : E → F
s : Set E
x : E
f' : E →L[ℝ] F
f_diff : DifferentiableOn ℝ f s
s_conv : Convex ℝ s
s_open : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
f_cont : ∀ y ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s, ContinuousWithinAt f s y
h : Tendsto (fun y ↦ fderiv ℝ f y) (𝓝[s] x) (𝓝 f')
hx : x ∈ closure[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] s
ε : ℝ
ε_pos : 0 < ε
δ : ℝ
δ_pos : δ > 0
hδ : ∀ y ∈ s, dist y x < δ → ‖fderiv ℝ f y - f'‖ < ε
B : Set E := ball x δ
key : ∀ p ∈ (B ∩ s) ×ˢ (B ∩ s), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖
⊢ ∀ p ∈ closure[instTopologicalSpaceProd] ((B ∩ s) ×ˢ (B ∩ s)), ‖f p.2 - f p.1 - (f' p.2 - f' p.1)‖ ≤ ε * ‖p.2 - p.1‖
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: 𝕜 : Type u_1
𝕜' : Type u_2
inst✝⁶ : NontriviallyNormedField 𝕜
inst✝⁵ : NontriviallyNormedField 𝕜'
inst✝⁴ : NormedAlgebra 𝕜 𝕜'
F : Type u_5
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace 𝕜 F
inst✝¹ : NormedSpace 𝕜' F
inst✝ : IsScalarTower 𝕜 𝕜' F
x : 𝕜
f : 𝕜' → F
g : 𝕜 → 𝕜'
hg : AnalyticAt 𝕜 g x
r : ℕ
hg' : ¬analyticOrderAt (fun x_1 ↦ g x_1 - g x) x = ⊤
n : ℕ
hn : ↑n = analyticOrderAt (fun x_1 ↦ g x_1 - g x) x
h : 𝕜 → 𝕜'
han : AnalyticAt 𝕜 h x
hne : h x ≠ 0
heq : ∀ᶠ (z : 𝕜) in 𝓝 x, g z - g x = (z - x) ^ n • h z
j : 𝕜' → F := fun z ↦ (z - g x) ^ r • f z
hr : AnalyticAt 𝕜' j (g x)
this : AnalyticAt 𝕜 (fun i ↦ (h i)⁻¹ ^ r • j (g i)) x
z : 𝕜
hz : g z - g x = (z - x) ^ n • h z
hzne : h z ≠ 0
⊢ ((z - x) ^ n • h z) ^ r • f (g z) = ((z - x) ^ (n * r) • h z ^ r) • f (g z)

Tactic:
pow_mul,

Goal state after:
𝕜 : Type u_1
𝕜' : Type u_2
inst✝⁶ : NontriviallyNormedField 𝕜
inst✝⁵ : NontriviallyNormedField 𝕜'
inst✝⁴ : NormedAlgebra 𝕜 𝕜'
F : Type u_5
inst✝³ : NormedAddCommGroup F
inst✝² : NormedSpace 𝕜 F
inst✝¹ : NormedSpace 𝕜' F
inst✝ : IsScalarTower 𝕜 𝕜' F
x : 𝕜
f : 𝕜' → F
g : 𝕜 → 𝕜'
hg : AnalyticAt 𝕜 g x
r : ℕ
hg' : ¬analyticOrderAt (fun x_1 ↦ g x_1 - g x) x = ⊤
n : ℕ
hn : ↑n = analyticOrderAt (fun x_1 ↦ g x_1 - g x) x
h : 𝕜 → 𝕜'
han : AnalyticAt 𝕜 h x
hne : h x ≠ 0
heq : ∀ᶠ (z : 𝕜) in 𝓝 x, g z - g x = (z - x) ^ n • h z
j : 𝕜' → F := fun z ↦ (z - g x) ^ r • f z
hr : AnalyticAt 𝕜' j (g x)
this : AnalyticAt 𝕜 (fun i ↦ (h i)⁻¹ ^ r • j (g i)) x
z : 𝕜
hz : g z - g x = (z - x) ^ n • h z
hzne : h z ≠ 0
⊢ ((z - x) ^ n • h z) ^ r • f (g z) = (((z - x) ^ n) ^ r • h z ^ r) • f (g z)
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: case refine_1
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
x c : 𝕜
f : 𝕜 → E
h : MeromorphicAt (f ∘ fun x ↦ x + c) x
⊢ MeromorphicAt f (x + c)

Tactic:
rw [show f = ((f ∘ fun x ↦ x + c) ∘ fun z ↦ z - c) by aesop]

Goal state after:
case refine_1
𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
x c : 𝕜
f : 𝕜 → E
h : MeromorphicAt (f ∘ fun x ↦ x + c) x
⊢ MeromorphicAt ((f ∘ fun x ↦ x + c) ∘ fun z ↦ z - c) (x + c)
Module: Mathlib.Analysis.Meromorphic.Basic

Goal state before:
pp: 𝕜 : Type u_1
inst✝² : NontriviallyNormedField 𝕜
E : Type u_3
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace 𝕜 E
f g : 𝕜 → E
U : Set 𝕜
hf : MeromorphicOn f U
h₁ : f =ᶠ[codiscreteWithin U] g
h₂ : IsOpen[PseudoMetricSpace.toUniformSpace.toTopologicalSpace] U
⊢ MeromorphicOn g U

Tactic:
by
  intro x hx
  apply (hf x hx).congr
  simp_rw [EventuallyEq, Filter.Eventually, mem_codiscreteWithin,
    disjoint_principal_right] at h₁
  have : U ∈ 𝓝[≠] x := by
    apply mem_nhdsWithin.mpr
    use U, h₂, hx, Set.inter_subset_left
  filter_upwards [this, h₁ x hx] with a h₁a h₂a
  simp only [Set.mem_compl_iff, Set.mem_sdiff, Set.mem_ofPred_eq, not_and] at h₂a
  tauto

Goal state after:
Module: Mathlib.Analysis.Analytic.IteratedFDeriv

Goal state before:
pp: case zero
𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
p : FormalMultilinearSeries 𝕜 E F
n : ℕ
h : p (n + 0) = 0
x✝¹ : Fin n → E
x✝ : Fin 0 → E
⊢ ((p.iteratedFDerivSeries 0 n) x✝¹) x✝ = (0 x✝¹) x✝

Tactic:
have : p n = 0 := p.congr_zero rfl h

Goal state after:
case zero
𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
p : FormalMultilinearSeries 𝕜 E F
n : ℕ
h : p (n + 0) = 0
x✝¹ : Fin n → E
x✝ : Fin 0 → E
this : p n = 0
⊢ ((p.iteratedFDerivSeries 0 n) x✝¹) x✝ = (0 x✝¹) x✝
Module: Mathlib.Analysis.SpecialFunctions.Pow.Deriv

Goal state before:
pp: case e'_12
p : ℝ × ℝ
hp : p.1 < 0
this : (fun x ↦ x.1 ^ x.2) =ᶠ[𝓝 p] fun x ↦ rexp (log x.1 * x.2) * cos (x.2 * π)
e_4✝ : Prod.instAddCommGroup = Prod.normedAddCommGroup.toAddCommGroup
e_5✝ : Prod.instModule ≍ Prod.normedSpace.toModule
e_6✝ : instTopologicalSpaceProd = PseudoMetricSpace.toUniformSpace.toTopologicalSpace
e_8✝ : instAddCommGroup = normedCommRing.toCommRing.toAddCommGroup
e_9✝ : Semiring.toModule ≍ (NormedAlgebra.toNormedSpace ℝ).toModule
⊢ (p.1 ^ p.2 * log p.1 - rexp (log p.1 * p.2) * sin (p.2 * π) * π) • ContinuousLinearMap.snd ℝ ℝ ℝ +
      (p.2 * (p.1 ^ p.2 * p.1⁻¹)) • ContinuousLinearMap.fst ℝ ℝ ℝ =
    (rexp (log p.1 * p.2) * -sin (p.2 * π) * π + p.1 ^ p.2 * log p.1) • ContinuousLinearMap.snd ℝ ℝ ℝ +
      (p.1 ^ p.2 * p.2 * p.1⁻¹) • ContinuousLinearMap.fst ℝ ℝ ℝ

Tactic:
congr 2 <;> ring

Goal state after:
Module: Mathlib.Analysis.Analytic.RadiusLiminf

Goal state before:
pp: 𝕜 : Type u_1
inst✝⁴ : NontriviallyNormedField 𝕜
E : Type u_2
inst✝³ : NormedAddCommGroup E
inst✝² : NormedSpace 𝕜 E
F : Type u_3
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedSpace 𝕜 F
p : FormalMultilinearSeries 𝕜 E F
⊢ p.radius⁻¹ = limsup (fun n ↦ ↑(‖p n‖₊ ^ (1 / ↑n))) atTop

Tactic:
by
  simpa [ENNReal.inv_liminf] using congr($(p.radius_eq_liminf)⁻¹)

Goal state after:
Module: Mathlib.Topology.MetricSpace.MetricSeparated

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝¹ : PseudoEMetricSpace X
inst✝ : PseudoEMetricSpace Y
s : Set X
ε K₁ : ℝ≥0
f : X → Y
hs : IsSeparated (↑ε) s
hf : AntilipschitzWith K₁ f
hK₁ : 0 < K₁
x : X
hx : x ∈ s
y : X
hy : y ∈ s
hne : f x ≠ f y
⊢ edist x y ≤ edist (f x) (f y) * ↑K₁

Tactic:
rw [mul_comm]; exact hf x y

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: ⊢ linearGrowthInf ⊤ = liminf (fun x ↦ ⊤) atTop

Tactic:
refine liminf_congr (eventually_atTop.2 ?_)

Goal state after:
⊢ ∃ a, ∀ (b : ℕ), a ≤ b → ⊤ b / ↑b = ⊤
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u v : ℕ → EReal
⊢ linearGrowthSup v + linearGrowthInf u ≤ linearGrowthSup (v + u)

Tactic:
exact le_linearGrowthSup_add

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: u v : ℕ → EReal
⊢ linearGrowthInf u + linearGrowthSup v ≤ linearGrowthSup (u + v)

Tactic:
by
  rw [add_comm u v, add_comm (linearGrowthInf u) (linearGrowthSup v)]
  exact le_linearGrowthSup_add

Goal state after:
Module: Mathlib.Analysis.Asymptotics.LinearGrowth

Goal state before:
pp: case neg.refine_1
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : ↑M * a' ≤ ↑M'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
⊢ M ≤ k

Tactic:
← le_div_iff_mul_le a_0' a_top',

Goal state after:
case neg.refine_1
u : ℕ → EReal
v : ℕ → ℕ
h : Monotone u
hv : (linearGrowthInf fun n ↦ ↑(v n)) ≠ 0
v_0 : 0 < linearGrowthInf fun n ↦ ↑(v n)
u_0 : ¬u = ⊥
a : EReal
a_0 : 0 < a
a_v : a < linearGrowthInf fun n ↦ ↑(v n)
b : EReal
b_0 : 0 < b
a' : EReal
a_a' : a < a'
a_top' : a' ≠ ⊤
a_0' : 0 < a'
a_a_inv' : a'⁻¹ < a⁻¹
a_v' : ∀ᶠ (n : ℕ) in atTop, a' * ↑n ≤ ↑(v n)
b_u : ∃ᶠ (x : ℕ) in atTop, (b * ↑x ≤ u x ∧ 0 < x) ∧ ∃ m, a'⁻¹ * ↑x ≤ ↑m ∧ ↑m ≤ a⁻¹ * ↑x
M M' : ℕ
aM_M' : ↑M ≤ ↑M' / a'
n : ℕ
n_M' : M' ≤ n
bn_un : b * ↑n ≤ u n
right✝ : 0 < n
k : ℕ
an_k' : a'⁻¹ * ↑n ≤ ↑k
k_an : ↑k ≤ a⁻¹ * ↑n
⊢ M ≤ k
Module: Mathlib.MeasureTheory.Measure.Decomposition.Hahn

Goal state before:
pp: case h
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
d : Set α → ℝ := ⋯
c : Set ℝ := ⋯
γ : ℝ := ⋯
hμ : ∀ (s : Set α), μ s ≠ ∞
hν : ∀ (s : Set α), ν s ≠ ∞
to_nnreal_μ : ∀ (s : Set α), ↑(μ s).toNNReal = μ s
to_nnreal_ν : ∀ (s : Set α), ↑(ν s).toNNReal = ν s
d_split : ∀ (s t : Set α), MeasurableSet t → d s = d (s \ t) + d (s ∩ t)
d_Union : ∀ (s : ℕ → Set α), Monotone s → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋃ n, s n)))
d_Inter :
  ∀ (s : ℕ → Set α),
    (∀ (n : ℕ), MeasurableSet (s n)) →
      (∀ (n m : ℕ), n ≤ m → s m ⊆ s n) → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋂ n, s n)))
⊢ ↑(μ univ).toNNReal ∈ upperBounds c

Tactic:
rintro r ⟨s, _hs, rfl⟩

Goal state after:
case h
α : Type u_1
mα : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
d : Set α → ℝ := fun s ↦ ↑(μ s).toNNReal - ↑(ν s).toNNReal
c : Set ℝ := d '' {s | MeasurableSet s}
γ : ℝ := sSup c
hμ : ∀ (s : Set α), μ s ≠ ∞
hν : ∀ (s : Set α), ν s ≠ ∞
to_nnreal_μ : ∀ (s : Set α), ↑(μ s).toNNReal = μ s
to_nnreal_ν : ∀ (s : Set α), ↑(ν s).toNNReal = ν s
d_split : ∀ (s t : Set α), MeasurableSet t → d s = d (s \ t) + d (s ∩ t)
d_Union : ∀ (s : ℕ → Set α), Monotone s → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋃ n, s n)))
d_Inter :
  ∀ (s : ℕ → Set α),
    (∀ (n : ℕ), MeasurableSet (s n)) →
      (∀ (n m : ℕ), n ≤ m → s m ⊆ s n) → Tendsto (fun n ↦ d (s n)) atTop (𝓝 (d (⋂ n, s n)))
s : Set α
_hs : s ∈ {s | MeasurableSet s}
⊢ d s ≤ ↑(μ univ).toNNReal
Module: Mathlib.MeasureTheory.Measure.Decomposition.Lebesgue

Goal state before:

Tactic:
_ ≤ (singularPart μ ν) (toMeasurable μ s) + _ := le_add_self
      _ = μ s := by rw [← Measure.add_apply, ← haveLebesgueDecomposition_add, measure_toMeasurable]
      _ < ⊤ := hs.lt_top

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : μ.HaveLebesgueDecomposition ν
inst✝ : IsFiniteMeasure μ
⊢ μ - ν.withDensity (μ.rnDeriv ν) = μ.singularPart ν

Tactic:
nth_rw 1 [← singularPart_add_rnDeriv μ ν]
  exact Measure.add_sub_cancel

Goal state after:
Module: Mathlib.MeasureTheory.Covering.OneDim

Goal state before:
pp: case refine_2
x : ℝ
⊢ ∀ ε > 0, ∀ᶠ (i : ℝ) in 𝓝[>] x, Icc x i ⊆ Metric.closedBall x ε

Tactic:
· intro ε εpos
    filter_upwards [Icc_mem_nhdsGT <| show x < x + ε by linarith] with y hy
    rw [closedBall_eq_Icc]
    exact Icc_subset_Icc (by linarith) hy.2

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

Goal state before:
pp: case refine_3
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : ℕ → ℝ≥0∞
h✝ : Monotone g
hg₂ : Filter.Tendsto g Filter.atTop (nhds (sSup (measurableLEEval ν μ)))
f : ℕ → α → ℝ≥0∞
hf₁ : ∀ (n : ℕ), f n ∈ measurableLE ν μ
hf₂ : ∀ (n : ℕ), (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) = g n
ξ : α → ℝ≥0∞ := ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ : ξ = ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
a : α
⊢ Filter.Tendsto (fun n ↦ (⨆ k, ⨆ (_ : k ≤ n), f k) a) Filter.atTop (nhds ((⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k) a))

Tactic:
simp [tendsto_atTop_iSup (iSup_monotone' f a)]

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : ℕ → ℝ≥0∞
h✝ : Monotone g
hg₂ : Filter.Tendsto g Filter.atTop (nhds (sSup (measurableLEEval ν μ)))
f : ℕ → α → ℝ≥0∞
hf₁ : ∀ (n : ℕ), f n ∈ measurableLE ν μ
hf₂ : ∀ (n : ℕ), (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) = g n
ξ : α → ℝ≥0∞ := ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ : ξ = ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ₁ : sSup (measurableLEEval ν μ) = ∫⁻ (a : α), ξ a ∂ν
hξm : Measurable ξ
hξle : ∀ (A : Set α), MeasurableSet A → ∫⁻ (a : α) in A, ξ a ∂ν ≤ μ A
hle : ν.withDensity ξ ≤ μ
this : IsFiniteMeasure (ν.withDensity ξ)
μ₁ : Measure α := μ - ν.withDensity ξ
hμ₁ : μ₁ = μ - ν.withDensity ξ
⊢ ∃ p, Measurable p.2 ∧ p.1 ⟂ₘ ν ∧ μ = p.1 + ν.withDensity p.2

Tactic:
refine ⟨⟨μ₁, ξ⟩, hξm, ?_, ?_⟩

Goal state after:
case refine_1
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : ℕ → ℝ≥0∞
h✝ : Monotone g
hg₂ : Filter.Tendsto g Filter.atTop (nhds (sSup (measurableLEEval ν μ)))
f : ℕ → α → ℝ≥0∞
hf₁ : ∀ (n : ℕ), f n ∈ measurableLE ν μ
hf₂ : ∀ (n : ℕ), (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) = g n
ξ : α → ℝ≥0∞ := ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ : ξ = ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ₁ : sSup (measurableLEEval ν μ) = ∫⁻ (a : α), ξ a ∂ν
hξm : Measurable ξ
hξle : ∀ (A : Set α), MeasurableSet A → ∫⁻ (a : α) in A, ξ a ∂ν ≤ μ A
hle : ν.withDensity ξ ≤ μ
this : IsFiniteMeasure (ν.withDensity ξ)
μ₁ : Measure α := μ - ν.withDensity ξ
hμ₁ : μ₁ = μ - ν.withDensity ξ
⊢ (μ₁, ξ).1 ⟂ₘ ν

case refine_2
α : Type u_1
m : MeasurableSpace α
μ ν : Measure α
inst✝¹ : IsFiniteMeasure μ
inst✝ : IsFiniteMeasure ν
g : ℕ → ℝ≥0∞
h✝ : Monotone g
hg₂ : Filter.Tendsto g Filter.atTop (nhds (sSup (measurableLEEval ν μ)))
f : ℕ → α → ℝ≥0∞
hf₁ : ∀ (n : ℕ), f n ∈ measurableLE ν μ
hf₂ : ∀ (n : ℕ), (fun f ↦ ∫⁻ (x : α), f x ∂ν) (f n) = g n
ξ : α → ℝ≥0∞ := ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ : ξ = ⨆ n, ⨆ k, ⨆ (_ : k ≤ n), f k
hξ₁ : sSup (measurableLEEval ν μ) = ∫⁻ (a : α), ξ a ∂ν
hξm : Measurable ξ
hξle : ∀ (A : Set α), MeasurableSet A → ∫⁻ (a : α) in A, ξ a ∂ν ≤ μ A
hle : ν.withDensity ξ ≤ μ
this : IsFiniteMeasure (ν.withDensity ξ)
μ₁ : Measure α := μ - ν.withDensity ξ
hμ₁ : μ₁ = μ - ν.withDensity ξ
⊢ μ = (μ₁, ξ).1 + ν.withDensity (μ₁, ξ).2
Module: Mathlib.Topology.EMetricSpace.VariationOnFromTo

Goal state before:
pp: case refine_1
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s : Set α
hf : LocallyBoundedVariationOn f s
a b c : α
ha : a ∈ s
hb : b ∈ s
hc : c ∈ s
x y : α
_xs : x ∈ s
_ys : y ∈ s
⊢ variationOnFromTo f s x y + variationOnFromTo f s y x = 0

Tactic:
simp only [variationOnFromTo.eq_neg_swap f s y x, add_neg_cancel]

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

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
μ ν ξ : Measure α
h : μ ⟂ₘ ξ
s : Set α := h.nullSet
hs : MeasurableSet s
h_le_s : μ.restrict s + (ν - ξ).restrict s = μ.restrict s + ν.restrict s - ξ.restrict s
h_le_s_compl : μ.restrict sᶜ + (ν - ξ).restrict sᶜ = μ.restrict sᶜ + ν.restrict sᶜ - ξ.restrict sᶜ
⊢ (μ + ν - ξ).restrict s + (μ + ν - ξ).restrict sᶜ = μ + ν - ξ

Tactic:
by rw [restrict_add_restrict_compl hs]

Goal state after:
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: case pos
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s t : Set α
h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y
hs : s = ∅
⊢ eVariationOn f s + eVariationOn f t ≤ eVariationOn f (s ∪ t)

pp: case neg
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s t : Set α
h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y
hs : ¬s = ∅
⊢ eVariationOn f s + eVariationOn f t ≤ eVariationOn f (s ∪ t)

Tactic:
· simp [hs]

Goal state after:
case neg
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
s t : Set α
h : ∀ x ∈ s, ∀ y ∈ t, x ≤ y
hs : ¬s = ∅
⊢ eVariationOn f s + eVariationOn f t ≤ eVariationOn f (s ∪ t)
Module: Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Unital

Goal state before:
pp: R : Type u_1
A : Type u_2
p : A → Prop
inst✝⁸ : CommSemiring R
inst✝⁷ : StarRing R
inst✝⁶ : MetricSpace R
inst✝⁵ : IsTopologicalSemiring R
inst✝⁴ : ContinuousStar R
inst✝³ : TopologicalSpace A
inst✝² : Ring A
inst✝¹ : StarRing A
inst✝ : Algebra R A
instCFC : ContinuousFunctionalCalculus R A p
f : R → R
a : A
ha : ¬(p a ∧ ContinuousOn f (spectrum R a))
⊢ cfc f a = 0

Tactic:
rw [cfc_def, dif_neg ha]

Goal state after:
Module: Mathlib.Topology.EMetricSpace.BoundedVariation

Goal state before:
pp: α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
ε : ℝ≥0∞
s : Set α
h : ε < eVariationOn f s
n : ℕ
u : ℕ → α
hu : ε < ∑ x ∈ Finset.range n, edist (f (u (x + 1))) (f (u x))
u_mono : Monotone u
u_mem : ∀ (i : ℕ), u i ∈ s
A : ε < eVariationOn f (s ∩ Icc (u 0) (u n))
this : u n ≤ u 0
⊢ False

Tactic:
have : Set.Subsingleton (s ∩ Icc (u 0) (u n)) := by
    intro a ha b hb
    simp only [mem_inter_iff, mem_Icc] at ha hb
    order

Goal state after:
α : Type u_1
inst✝¹ : LinearOrder α
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : α → E
ε : ℝ≥0∞
s : Set α
h : ε < eVariationOn f s
n : ℕ
u : ℕ → α
hu : ε < ∑ x ∈ Finset.range n, edist (f (u (x + 1))) (f (u x))
u_mono : Monotone u
u_mem : ∀ (i : ℕ), u i ∈ s
A : ε < eVariationOn f (s ∩ Icc (u 0) (u n))
this✝ : u n ≤ u 0
this : (s ∩ Icc (u 0) (u n)).Subsingleton
⊢ False
Module: Mathlib.Analysis.CStarAlgebra.ContinuousFunctionalCalculus.Unital

Goal state before:
pp: R : Type u_1
A : Type u_2
p : A → Prop
inst✝⁹ : CommSemiring R
inst✝⁸ : StarRing R
inst✝⁷ : MetricSpace R
inst✝⁶ : IsTopologicalSemiring R
inst✝⁵ : ContinuousStar R
inst✝⁴ : TopologicalSpace A
inst✝³ : Ring A
inst✝² : StarRing A
inst✝¹ : Algebra R A
instCFC : ContinuousFunctionalCalculus R A p
inst✝ : UniqueHom R A
g f : R → R
a : A
ha : p a
hg : ContinuousOn g (f '' spectrum R a)
hf : ContinuousOn f (spectrum R a)
this : ContinuousOn (g ∘ f) (spectrum R a)
sp_eq : spectrum R ((cfcHom ⋯) { toFun := (spectrum R a).domRestrict f, continuous_toFun := ⋯ }) = f '' spectrum R a
x : ↑(spectrum R a)
⊢ (spectrum R a).domRestrict f x ∈
    spectrum R ((cfcHom ⋯) { toFun := (spectrum R a).domRestrict f, continuous_toFun := ⋯ })

Tactic:
rw [sp_eq]; use x.1; simp

Goal state after:
Module: Mathlib.Topology.Algebra.StarSubalgebra

Goal state before:
pp: case convert_4
R : Type u_1
A : Type u_2
inst✝⁶ : CommSemiring R
inst✝⁵ : StarRing R
inst✝⁴ : TopologicalSpace A
inst✝³ : Semiring A
inst✝² : Algebra R A
inst✝¹ : StarRing A
inst✝ : StarModule R A
S₁ S₂ : StarSubalgebra R A
h : S₁ ≤ S₂
hS₁ : IsClosed[inst✝⁴] ↑S₁
⊢ ∀ x ∈ S₁, id x ∈ S₂

Tactic:
· intro _ h'
            apply h h'

Goal state after: