mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Geometry.Euclidean.Inversion.Basic

Goal state before:
pp: case inr
V : Type u_1
P : Type u_2
inst✝³ : NormedAddCommGroup V
inst✝² : InnerProductSpace ℝ V
inst✝¹ : MetricSpace P
inst✝ : NormedAddTorsor V P
c x : P
R : ℝ
hx : x ≠ c
this : dist x c ≠ 0
⊢ dist ((R / dist x c) ^ 2 • (x -ᵥ c) +ᵥ c) c = R ^ 2 / dist x c

Tactic:
field_simp

Goal state after:
case inr
V : Type u_1
P : Type u_2
inst✝³ : NormedAddCommGroup V
inst✝² : InnerProductSpace ℝ V
inst✝¹ : MetricSpace P
inst✝ : NormedAddTorsor V P
c x : P
R : ℝ
hx : x ≠ c
this : dist x c ≠ 0
⊢ dist x c * dist ((R ^ 2 / dist x c ^ 2) • (x -ᵥ c) +ᵥ c) c = R ^ 2
Module: Mathlib.Topology.Compactification.StoneCech

Goal state before:
pp: α : Type u
γ : Type u_1
inst✝² : TopologicalSpace γ
inst✝¹ : T2Space γ
inst✝ : CompactSpace γ
f : α → γ
b : Ultrafilter α
⊢ ↑(Ultrafilter.map f b) ≤ 𝓟 univ

Tactic:
rw [le_principal_iff]; exact univ_mem

Goal state after:
Module: Mathlib.Topology.Compactification.OnePoint.Basic

Goal state before:
pp: X : Type u_1
x₁ x₂ : X
⊢ ↑x₁ = ↑x₂ ↔ x₁ = x₂

Tactic:
by
  rw [iff_eq_eq]
  exact Option.some.injEq x₁ x₂

Goal state after:
Module: Mathlib.Topology.Compactification.OnePoint.Basic

Goal state before:
pp: X : Type u_1
inst✝ : TopologicalSpace X
⊢ 𝓝 ∞ = map some (coclosedCompact X) ⊔ pure ∞

Tactic:
rw [← nhdsNE_infty_eq, nhdsNE_sup_pure]

Goal state after:
Module: Mathlib.Topology.Compactification.OnePoint.Basic

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝³ : TopologicalSpace X
s : Set (OnePoint X)
inst✝² : TopologicalSpace Y
inst✝¹ : T2Space Y
inst✝ : CompactSpace Y
y : Y
f : X → Y
hf : IsEmbedding f
hy : range f = {y}ᶜ
_i : T2Space X
⊢ Tendsto f (coclosedCompact X) (𝓝 y)

Tactic:
rw [coclosedCompact_eq_cocompact, hasBasis_cocompact.tendsto_left_iff]

Goal state after:
X : Type u_1
Y : Type u_2
inst✝³ : TopologicalSpace X
s : Set (OnePoint X)
inst✝² : TopologicalSpace Y
inst✝¹ : T2Space Y
inst✝ : CompactSpace Y
y : Y
f : X → Y
hf : IsEmbedding f
hy : range f = {y}ᶜ
_i : T2Space X
⊢ ∀ t ∈ 𝓝 y, ∃ i, IsCompact i ∧ MapsTo f iᶜ t
Module: Mathlib.Topology.Compactification.OnePoint.Basic

Goal state before:
pp: X : Type u_1
Y : Type u_2
inst✝³ : TopologicalSpace X
s : Set (OnePoint X)
inst✝² : TopologicalSpace Y
inst✝¹ : T2Space Y
inst✝ : CompactSpace Y
y : Y
f : X → Y
hf : IsEmbedding f
hy : range f = {y}ᶜ
_i : T2Space X
this : Tendsto f (coclosedCompact X) (𝓝 y)
p : OnePoint X
⊢ (fun q ↦ if hq : q = y then ∞ else ↑(Exists.choose ⋯)) ((fun p ↦ p.elim y f) p) = p

Tactic:
induction p using OnePoint.rec with
        | infty => simp
        | coe p =>
          have hp : f p ≠ y := by simpa [hy] using mem_range_self (f := f) p
          simpa [hp] using hf.injective (mem_range_self p).choose_spec

Goal state after:
Module: Mathlib.Analysis.Complex.ValueDistribution.CharacteristicFunction

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
α : Type u_2
s : Finset α
f : α → ℂ → E
r : ℝ
hf : ∀ a ∈ s, Meromorphic (f a)
hr : 1 ≤ r
⊢ proximity (∑ a ∈ s, f a) ⊤ r + logCounting (∑ a ∈ s, f a) ⊤ r ≤
    (∑ a ∈ s, proximity (f a) ⊤) r + log ↑s.card + (∑ a ∈ s, logCounting (f a) ⊤) r

Tactic:
by
      gcongr
      · apply proximity_sum_top_le s f hf r
      · apply logCounting_sum_top_le s f hf hr

Goal state after:
Module: Mathlib.Analysis.Complex.ValueDistribution.CharacteristicFunction

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
f₁ f₂ : ℂ → E
h₁f₁ : Meromorphic f₁
h₁f₂ : Meromorphic f₂
r : ℝ
⊢ 1 ≤ r → characteristic (f₁ + f₂) ⊤ r ≤ (characteristic f₁ ⊤ + characteristic f₂ ⊤ + fun x ↦ log 2) r

Tactic:
hr

Goal state after:
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
f₁ f₂ : ℂ → E
h₁f₁ : Meromorphic f₁
h₁f₂ : Meromorphic f₂
r : ℝ
hr : 1 ≤ r
⊢ characteristic (f₁ + f₂) ⊤ r ≤ (characteristic f₁ ⊤ + characteristic f₂ ⊤ + fun x ↦ log 2) r
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Basic

Goal state before:
pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ ↑(((toClosedBall r) D₂) z) * log (r * ‖z‖⁻¹)
⊢ x ∈ ↑h₁s.toFinset

pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ ↑(((toClosedBall r) D₁) z) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset

pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset

Tactic:
by_contra

Goal state after:
case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this✝ : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ ↑(((toClosedBall r) D₂) z) * log (r * ‖z‖⁻¹)
this : x ∉ ↑h₁s.toFinset
⊢ False

case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ ↑(((toClosedBall r) D₁) z) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset

case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Basic

Goal state before:
pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ ↑(((toClosedBall r) D₁) z) * log (r * ‖z‖⁻¹)
⊢ x ∈ ↑h₁s.toFinset

pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset

Tactic:
by_contra

Goal state after:
case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this✝ : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ ↑(((toClosedBall r) D₁) z) * log (r * ‖z‖⁻¹)
this : x ∉ ↑h₁s.toFinset
⊢ False

case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
⊢ (Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)) ⊆ ↑h₁s.toFinset
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Basic

Goal state before:
pp: case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)
⊢ x ∈ ↑h₁s.toFinset

Tactic:
by_contra

Goal state after:
case e_a.h
E✝ : Type u_1
inst✝² : NormedAddCommGroup E✝
E : Type u_2
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D₁ D₂ : locallyFinsupp E ℤ
r : ℝ
this✝ : ∀ {A B C D : ℝ}, A + B + (C + D) = A + C + (B + D)
h₁s : (((toClosedBall r) D₁).support ∪ ((toClosedBall r) D₂).support).Finite
x : E
hx : x ∈ Function.support fun z ↦ (↑(((toClosedBall r) D₁) z) + ↑(((toClosedBall r) D₂) z)) * log (r * ‖z‖⁻¹)
this : x ∉ ↑h₁s.toFinset
⊢ False
Module: Mathlib.Analysis.Complex.ValueDistribution.Proximity.IntegralPresentation

Goal state before:
pp: f : ℂ → ℂ
R : ℝ
h : Meromorphic f
⊢ IntegrableOn (fun p ↦ cartanKernel f R p.1 p.2) (uIoc 0 (2 * π) ×ˢ uIoc 0 (2 * π)) volume

Tactic:
rw [IntegrableOn, Measure.volume_eq_prod, ← Measure.prod_restrict]
  have := h.measurable
  simpa [uIoc_of_le two_pi_pos.le] using (integrable_prod_iff' (by fun_prop)).2
    ⟨Eventually.of_forall (integrableOn_cartanKernel_left f R),
      integrable_integral_norm_cartanKernel h⟩

Goal state after:
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Asymptotic

Goal state before:
pp: E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : DecidableEq E
inst✝ : ProperSpace E
e : E
hΘ : (fun r ↦ log r - log ‖e‖) =Θ[atTop] log
h₁ : 1 =o[atTop] fun r ↦ log r - log ‖e‖
r : ℝ
⊢ ‖e‖ ≤ r → log r - log ‖e‖ = logCounting (single e 1) r

Tactic:
hr

Goal state after:
E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : DecidableEq E
inst✝ : ProperSpace E
e : E
hΘ : (fun r ↦ log r - log ‖e‖) =Θ[atTop] log
h₁ : 1 =o[atTop] fun r ↦ log r - log ‖e‖
r : ℝ
hr : ‖e‖ ≤ r
⊢ log r - log ‖e‖ = logCounting (single e 1) r
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Asymptotic

Goal state before:
pp: E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : DecidableEq E
inst✝ : ProperSpace E
e : E
n : ℤ
r : ℝ
⊢ ‖e‖ ≤ r → logCounting (single e n) r = ↑n * log r - ↑n * log ‖e‖

Tactic:
hr

Goal state after:
E : Type u_1
inst✝² : NormedAddCommGroup E
inst✝¹ : DecidableEq E
inst✝ : ProperSpace E
e : E
n : ℤ
r : ℝ
hr : ‖e‖ ≤ r
⊢ logCounting (single e n) r = ↑n * log r - ↑n * log ‖e‖
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Asymptotic

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D : locallyFinsupp E ℤ
h : 0 ≤ D
hO : logCounting D =O[atTop] log
C : ℝ
hC : ∀ᶠ (x : ℝ) in atTop, ‖logCounting D x‖ ≤ C * ‖log x‖
N : ℕ
hCN : max C 0 < ↑N
hCN' : C < ↑N
hInf : (support D).Infinite
t : Finset E
htsub : ↑t ⊆ support D
htcard : t.card = N
D' : locallyFinsupp E ℤ := ∑ z ∈ t, single z 1
hD' : D' = ∑ z ∈ t, single z 1
hle : D' ≤ D
R₀ : ℝ
hR₀ : ∀ z ∈ t, ‖z‖ ≤ R₀
K : ℝ := ∑ z ∈ t, log ‖z‖
hK : K = ∑ z ∈ t, log ‖z‖
r : ℝ
⊢ R₀ ≤ r → logCounting D' r = ↑N * log r - K

Tactic:
hr

Goal state after:
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D : locallyFinsupp E ℤ
h : 0 ≤ D
hO : logCounting D =O[atTop] log
C : ℝ
hC : ∀ᶠ (x : ℝ) in atTop, ‖logCounting D x‖ ≤ C * ‖log x‖
N : ℕ
hCN : max C 0 < ↑N
hCN' : C < ↑N
hInf : (support D).Infinite
t : Finset E
htsub : ↑t ⊆ support D
htcard : t.card = N
D' : locallyFinsupp E ℤ := ∑ z ∈ t, single z 1
hD' : D' = ∑ z ∈ t, single z 1
hle : D' ≤ D
R₀ : ℝ
hR₀ : ∀ z ∈ t, ‖z‖ ≤ R₀
K : ℝ := ∑ z ∈ t, log ‖z‖
hK : K = ∑ z ∈ t, log ‖z‖
r : ℝ
hr : R₀ ≤ r
⊢ logCounting D' r = ↑N * log r - K
Module: Mathlib.Analysis.ConstantSpeed

Goal state before:
pp: case mp
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : ℝ → E
s : Set ℝ
l : ℝ≥0
t : Set ℝ
hfs : ∀ ⦃x : ℝ⦄, x ∈ s → ∀ ⦃y : ℝ⦄, y ∈ s → x ≤ y → eVariationOn f (s ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
hft : ∀ ⦃x : ℝ⦄, x ∈ t → ∀ ⦃y : ℝ⦄, y ∈ t → x ≤ y → eVariationOn f (t ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
x : ℝ
hs : IsGreatest s x
ht : IsLeast t x
z : ℝ
zt : z ∈ t
y : ℝ
yt : y ∈ t
zy : z ≤ y
w : ℝ
⊢ w ∈ (s ∪ t) ∩ Icc z y → w ∈ t ∩ Icc z y

pp: case mpr
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : ℝ → E
s : Set ℝ
l : ℝ≥0
t : Set ℝ
hfs : ∀ ⦃x : ℝ⦄, x ∈ s → ∀ ⦃y : ℝ⦄, y ∈ s → x ≤ y → eVariationOn f (s ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
hft : ∀ ⦃x : ℝ⦄, x ∈ t → ∀ ⦃y : ℝ⦄, y ∈ t → x ≤ y → eVariationOn f (t ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
x : ℝ
hs : IsGreatest s x
ht : IsLeast t x
z : ℝ
zt : z ∈ t
y : ℝ
yt : y ∈ t
zy : z ≤ y
w : ℝ
⊢ w ∈ t ∩ Icc z y → w ∈ (s ∪ t) ∩ Icc z y

Tactic:
· rintro ⟨ws | wt, zw, wy⟩
        · exact ⟨le_antisymm ((ht.2 zt).trans zw) (hs.2 ws) ▸ ht.1, zw, wy⟩
        · exact ⟨wt, zw, wy⟩

Goal state after:
case mpr
E : Type u_2
inst✝ : PseudoEMetricSpace E
f : ℝ → E
s : Set ℝ
l : ℝ≥0
t : Set ℝ
hfs : ∀ ⦃x : ℝ⦄, x ∈ s → ∀ ⦃y : ℝ⦄, y ∈ s → x ≤ y → eVariationOn f (s ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
hft : ∀ ⦃x : ℝ⦄, x ∈ t → ∀ ⦃y : ℝ⦄, y ∈ t → x ≤ y → eVariationOn f (t ∩ Icc x y) = ENNReal.ofReal (↑l * (y - x))
x : ℝ
hs : IsGreatest s x
ht : IsLeast t x
z : ℝ
zt : z ∈ t
y : ℝ
yt : y ∈ t
zy : z ≤ y
w : ℝ
⊢ w ∈ t ∩ Icc z y → w ∈ (s ∪ t) ∩ Icc z y
Module: Mathlib.Analysis.Complex.ValueDistribution.LogCounting.Asymptotic

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D : locallyFinsupp E ℤ
h : 0 ≤ D
hO : logCounting D =O[atTop] log
C : ℝ
hC : ∀ᶠ (x : ℝ) in atTop, ‖logCounting D x‖ ≤ C * ‖log x‖
N : ℕ
hCN : max C 0 < ↑N
hCN' : C < ↑N
hInf : (support D).Infinite
t : Finset E
htsub : ↑t ⊆ support D
htcard : t.card = N
D' : locallyFinsupp E ℤ := ∑ z ∈ t, single z 1
hD' : D' = ∑ z ∈ t, single z 1
hle : D' ≤ D
R₀ : ℝ
hR₀ : ∀ z ∈ t, ‖z‖ ≤ R₀
K : ℝ := ∑ z ∈ t, log ‖z‖
hK : K = ∑ z ∈ t, log ‖z‖
hEq : ∀ᶠ (r : ℝ) in atTop, logCounting D' r = ↑N * log r - K
r : ℝ
⊢ logCounting D' r = ↑N * log r - K → 1 ≤ r → ‖logCounting D r‖ ≤ C * ‖log r‖ → (↑N - C) * log r ≤ K

Tactic:
hr₁

Goal state after:
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : ProperSpace E
D : locallyFinsupp E ℤ
h : 0 ≤ D
hO : logCounting D =O[atTop] log
C : ℝ
hC : ∀ᶠ (x : ℝ) in atTop, ‖logCounting D x‖ ≤ C * ‖log x‖
N : ℕ
hCN : max C 0 < ↑N
hCN' : C < ↑N
hInf : (support D).Infinite
t : Finset E
htsub : ↑t ⊆ support D
htcard : t.card = N
D' : locallyFinsupp E ℤ := ∑ z ∈ t, single z 1
hD' : D' = ∑ z ∈ t, single z 1
hle : D' ≤ D
R₀ : ℝ
hR₀ : ∀ z ∈ t, ‖z‖ ≤ R₀
K : ℝ := ∑ z ∈ t, log ‖z‖
hK : K = ∑ z ∈ t, log ‖z‖
hEq : ∀ᶠ (r : ℝ) in atTop, logCounting D' r = ↑N * log r - K
r : ℝ
hr₁ : logCounting D' r = ↑N * log r - K
⊢ 1 ≤ r → ‖logCounting D r‖ ≤ C * ‖log r‖ → (↑N - C) * log r ≤ K
Module: Mathlib.Analysis.ConstantSpeed

Goal state before:
pp: case inr
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 : α
as : a ∈ s
b : α
bs : b ∈ s
c : α
cs : c ∈ s
h : variationOnFromTo f s a b ≤ variationOnFromTo f s a c
bc : b ≤ c
⊢ eVariationOn (naturalParameterization f s a)
      (variationOnFromTo f s a '' s ∩ Icc (variationOnFromTo f s a b) (variationOnFromTo f s a c)) =
    ENNReal.ofReal (variationOnFromTo f s a c + -variationOnFromTo f s a b)

Tactic:
variationOnFromTo.eq_neg_swap,

Goal state after:
case inr
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 : α
as : a ∈ s
b : α
bs : b ∈ s
c : α
cs : c ∈ s
h : variationOnFromTo f s a b ≤ variationOnFromTo f s a c
bc : b ≤ c
⊢ eVariationOn (naturalParameterization f s a)
      (variationOnFromTo f s a '' s ∩ Icc (-variationOnFromTo f s b a) (variationOnFromTo f s a c)) =
    ENNReal.ofReal (variationOnFromTo f s a c + - -variationOnFromTo f s b a)
Module: Mathlib.Analysis.Convex.Approximation

Goal state before:
pp: case h
𝕜 : Type u_1
E : Type u_2
s : Set E
φ : E → ℝ
inst✝⁹ : RCLike 𝕜
inst✝⁸ : TopologicalSpace E
inst✝⁷ : AddCommGroup E
inst✝⁶ : Module ℝ E
inst✝⁵ : Module 𝕜 E
inst✝⁴ : IsScalarTower ℝ 𝕜 E
inst✝³ : IsTopologicalAddGroup E
inst✝² : ContinuousSMul 𝕜 E
inst✝¹ : LocallyConvexSpace ℝ E
inst✝ : HereditarilyLindelofSpace E
hsc : IsClosed s
hφc : LowerSemicontinuousOn φ s
hφcv : ConvexOn ℝ s φ
hs : s = ∅
⊢ ∅.Countable ∧
    sSup ∅ = s.domRestrict φ ∧ ∀ f ∈ ∅, f ≤ s.domRestrict φ ∧ ∃ l c, f = s.domRestrict (⇑re ∘ ⇑l) + const (↑s) c

Tactic:
simp [domRestrict_def]

Goal state after:
case h
𝕜 : Type u_1
E : Type u_2
s : Set E
φ : E → ℝ
inst✝⁹ : RCLike 𝕜
inst✝⁸ : TopologicalSpace E
inst✝⁷ : AddCommGroup E
inst✝⁶ : Module ℝ E
inst✝⁵ : Module 𝕜 E
inst✝⁴ : IsScalarTower ℝ 𝕜 E
inst✝³ : IsTopologicalAddGroup E
inst✝² : ContinuousSMul 𝕜 E
inst✝¹ : LocallyConvexSpace ℝ E
inst✝ : HereditarilyLindelofSpace E
hsc : IsClosed s
hφc : LowerSemicontinuousOn φ s
hφcv : ConvexOn ℝ s φ
hs : s = ∅
⊢ sSup ∅ = fun x ↦ φ ↑x
Module: Mathlib.Analysis.Convex.Between

Goal state before:
pp: case neg
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁷ : Ring R
inst✝⁶ : PartialOrder R
inst✝⁵ : AddCommGroup V
inst✝⁴ : Module R V
inst✝³ : AddTorsor V P
inst✝² : IsOrderedRing R
inst✝¹ : IsDomain R
inst✝ : IsTorsionFree R V
x y : P
r : R
hxy : ¬x = y
⊢ (lineMap x y) r ∈ ⇑(lineMap x y) '' Set.Icc 0 1 ↔ r ∈ Set.Icc 0 1

Tactic:
(lineMap_injective R hxy).mem_set_image

Goal state after:
case neg
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁷ : Ring R
inst✝⁶ : PartialOrder R
inst✝⁵ : AddCommGroup V
inst✝⁴ : Module R V
inst✝³ : AddTorsor V P
inst✝² : IsOrderedRing R
inst✝¹ : IsDomain R
inst✝ : IsTorsionFree R V
x y : P
r : R
hxy : ¬x = y
⊢ r ∈ Set.Icc 0 1 ↔ r ∈ Set.Icc 0 1
Module: Mathlib.Analysis.Convex.Between

Goal state before:
pp: R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁷ : Ring R
inst✝⁶ : PartialOrder R
inst✝⁵ : AddCommGroup V
inst✝⁴ : Module R V
inst✝³ : AddTorsor V P
inst✝² : IsOrderedRing R
inst✝¹ : IsDomain R
inst✝ : IsTorsionFree R V
x y : P
r : R
hxy : x ≠ y
⊢ (lineMap x y) r ∈ ⇑(lineMap x y) '' Set.Ioo 0 1 ↔ r ∈ Set.Ioo 0 1

Tactic:
(lineMap_injective R hxy).mem_set_image

Goal state after:
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁷ : Ring R
inst✝⁶ : PartialOrder R
inst✝⁵ : AddCommGroup V
inst✝⁴ : Module R V
inst✝³ : AddTorsor V P
inst✝² : IsOrderedRing R
inst✝¹ : IsDomain R
inst✝ : IsTorsionFree R V
x y : P
r : R
hxy : x ≠ y
⊢ r ∈ Set.Ioo 0 1 ↔ r ∈ Set.Ioo 0 1
Module: Mathlib.Data.Matrix.PEquiv

Goal state before:
pp: m : Type u_3
n : Type u_4
α : Type u_5
inst✝² : DecidableEq n
inst✝¹ : MulZeroOneClass α
inst✝ : Nontrivial α
f g : m ≃. n
⊢ f.toMatrix = g.toMatrix → f = g

Tactic:
refine not_imp_not.1 ?_

Goal state after:
m : Type u_3
n : Type u_4
α : Type u_5
inst✝² : DecidableEq n
inst✝¹ : MulZeroOneClass α
inst✝ : Nontrivial α
f g : m ≃. n
⊢ ¬f = g → ¬f.toMatrix = g.toMatrix
Module: Mathlib.LinearAlgebra.Matrix.Stochastic

Goal state before:
pp: R : Type u_1
n : Type u_2
inst✝⁶ : Fintype n
inst✝⁵ : DecidableEq n
inst✝⁴ : Semiring R
inst✝³ : PartialOrder R
inst✝² : IsOrderedRing R
m : Type u_3
inst✝¹ : Fintype m
inst✝ : DecidableEq m
M : Matrix n n R
e₁ e₂ : n ≃ m
h : (reindex e₁ e₂) M ∈ rowStochastic R m
⊢ M ∈ rowStochastic R n

Tactic:
have : M = (M.reindex e₁ e₂).reindex e₁.symm e₂.symm := by simp

Goal state after:
R : Type u_1
n : Type u_2
inst✝⁶ : Fintype n
inst✝⁵ : DecidableEq n
inst✝⁴ : Semiring R
inst✝³ : PartialOrder R
inst✝² : IsOrderedRing R
m : Type u_3
inst✝¹ : Fintype m
inst✝ : DecidableEq m
M : Matrix n n R
e₁ e₂ : n ≃ m
h : (reindex e₁ e₂) M ∈ rowStochastic R m
this : M = (reindex e₁.symm e₂.symm) ((reindex e₁ e₂) M)
⊢ M ∈ rowStochastic R n
Module: Mathlib.Analysis.Convex.Caratheodory

Goal state before:
pp: 𝕜 : Type u_1
E : Type u
inst✝⁵ : Field 𝕜
inst✝⁴ : LinearOrder 𝕜
inst✝³ : IsStrictOrderedRing 𝕜
inst✝² : AddCommGroup E
inst✝¹ : Module 𝕜 E
inst✝ : DecidableEq E
t : Finset E
f : E → 𝕜
fpos : ∀ y ∈ t, 0 ≤ f y
fsum : ∑ y ∈ t, f y = 1
g : E → 𝕜
gcombo : ∑ e ∈ t, g e • e = 0
gsum : ∑ e ∈ t, g e = 0
gpos : ∃ i ∈ t, 0 < g i
s : Finset E := {z ∈ t | 0 < g z}
i₀ : E
mem : i₀ ∈ s
w : ∀ i ∈ s, f i₀ / g i₀ ≤ f i / g i
hg : 0 < g i₀
hi₀ : i₀ ∈ t
k : E → 𝕜 := fun z ↦ f z - f i₀ / g i₀ * g z
⊢ k i₀ = 0

Tactic:
simp [k, ne_of_gt hg]

Goal state after:
Module: Mathlib.Analysis.Convex.Birkhoff

Goal state before:
pp: R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Field R
inst✝¹ : LinearOrder R
inst✝ : IsStrictOrderedRing R
h✝ : Nonempty n
d : ℕ
ih :
  ∀ m < d,
    ∀ (M : Matrix n n R) (s : R),
      0 ≤ s →
        (∃ M' ∈ doublyStochastic R n, M = s • M') →
          #{i | M i.1 i.2 ≠ 0} = m → ∃ w, (∀ (σ : Equiv.Perm n), 0 ≤ w σ) ∧ ∑ σ, w σ • Equiv.Perm.permMatrix R σ = M
M : Matrix n n R
s : R
hs : 0 ≤ s
hM : (∀ (i j : n), 0 ≤ M i j) ∧ (∀ (i : n), ∑ j, M i j = s) ∧ ∀ (j : n), ∑ i, M i j = s
hd : #{i | M i.1 i.2 ≠ 0} = d
hs'✝ : 0 < s
σ : Equiv.Perm n
hσ : ∀ (i j : n), M i j = 0 → Equiv.Perm.permMatrix R σ i j = 0
i : n
hi : i ∈ univ
hi' : ∀ x' ∈ univ, M i (σ i) ≤ M x' (σ x')
N : Matrix n n R := M - M i (σ i) • Equiv.Perm.permMatrix R σ
hMi' : 0 < M i (σ i)
s' : R := s - M i (σ i)
hs' : 0 ≤ s'
this : ∃ M' ∈ doublyStochastic R n, N = s' • M'
i' j' : n
a✝ : (i', j') ∈ univ
hN' : N (i', j').1 (i', j').2 ≠ 0
hM' : M (i', j').1 (i', j').2 = 0
⊢ False

Tactic:
have hσ' : σ i' ≠ j' := by
        simpa [Equiv.toPEquiv_apply] using hσ i' j' hM'

Goal state after:
R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Field R
inst✝¹ : LinearOrder R
inst✝ : IsStrictOrderedRing R
h✝ : Nonempty n
d : ℕ
ih :
  ∀ m < d,
    ∀ (M : Matrix n n R) (s : R),
      0 ≤ s →
        (∃ M' ∈ doublyStochastic R n, M = s • M') →
          #{i | M i.1 i.2 ≠ 0} = m → ∃ w, (∀ (σ : Equiv.Perm n), 0 ≤ w σ) ∧ ∑ σ, w σ • Equiv.Perm.permMatrix R σ = M
M : Matrix n n R
s : R
hs : 0 ≤ s
hM : (∀ (i j : n), 0 ≤ M i j) ∧ (∀ (i : n), ∑ j, M i j = s) ∧ ∀ (j : n), ∑ i, M i j = s
hd : #{i | M i.1 i.2 ≠ 0} = d
hs'✝ : 0 < s
σ : Equiv.Perm n
hσ : ∀ (i j : n), M i j = 0 → Equiv.Perm.permMatrix R σ i j = 0
i : n
hi : i ∈ univ
hi' : ∀ x' ∈ univ, M i (σ i) ≤ M x' (σ x')
N : Matrix n n R := M - M i (σ i) • Equiv.Perm.permMatrix R σ
hMi' : 0 < M i (σ i)
s' : R := s - M i (σ i)
hs' : 0 ≤ s'
this : ∃ M' ∈ doublyStochastic R n, N = s' • M'
i' j' : n
a✝ : (i', j') ∈ univ
hN' : N (i', j').1 (i', j').2 ≠ 0
hM' : M (i', j').1 (i', j').2 = 0
hσ' : σ i' ≠ j'
⊢ False
Module: Mathlib.Analysis.Convex.Birkhoff

Goal state before:
pp: R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Field R
inst✝¹ : LinearOrder R
inst✝ : IsStrictOrderedRing R
σ : Equiv.Perm n
x₁ : Matrix n n R
hx₁ : x₁ ∈ ↑(doublyStochastic R n)
x₂ : Matrix n n R
hx₂ : x₂ ∈ ↑(doublyStochastic R n)
hσ : Equiv.Perm.permMatrix R σ ∈ openSegment R x₁ x₂
i j : n
h₁ : Equiv.Perm.permMatrix R σ i j ∈ openSegment R (x₁ i j) (x₂ i j)
h : x₁ i j ≠ x₂ i j
⊢ Set.Ioo (min (x₁ i j) (x₂ i j)) (max (x₁ i j) (x₂ i j)) ⊆ Set.Ioo 0 1

Tactic:
apply Set.Ioo_subset_Ioo

Goal state after:
case ha
R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Field R
inst✝¹ : LinearOrder R
inst✝ : IsStrictOrderedRing R
σ : Equiv.Perm n
x₁ : Matrix n n R
hx₁ : x₁ ∈ ↑(doublyStochastic R n)
x₂ : Matrix n n R
hx₂ : x₂ ∈ ↑(doublyStochastic R n)
hσ : Equiv.Perm.permMatrix R σ ∈ openSegment R x₁ x₂
i j : n
h₁ : Equiv.Perm.permMatrix R σ i j ∈ openSegment R (x₁ i j) (x₂ i j)
h : x₁ i j ≠ x₂ i j
⊢ 0 ≤ min (x₁ i j) (x₂ i j)

case hb
R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Field R
inst✝¹ : LinearOrder R
inst✝ : IsStrictOrderedRing R
σ : Equiv.Perm n
x₁ : Matrix n n R
hx₁ : x₁ ∈ ↑(doublyStochastic R n)
x₂ : Matrix n n R
hx₂ : x₂ ∈ ↑(doublyStochastic R n)
hσ : Equiv.Perm.permMatrix R σ ∈ openSegment R x₁ x₂
i j : n
h₁ : Equiv.Perm.permMatrix R σ i j ∈ openSegment R (x₁ i j) (x₂ i j)
h : x₁ i j ≠ x₂ i j
⊢ max (x₁ i j) (x₂ i j) ≤ 1