mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.Convex.Between

Goal state before:
pp: R : Type u_1
inst✝¹ : Ring R
inst✝ : PartialOrder R
x : R
⊢ Wbtw R 0 x 1 ↔ x ∈ Set.Icc 0 1

Tactic:
rw [Wbtw, affineSegment, Set.mem_image]

Goal state after:
R : Type u_1
inst✝¹ : Ring R
inst✝ : PartialOrder R
x : R
⊢ (∃ x_1 ∈ Set.Icc 0 1, (lineMap 0 1) x_1 = x) ↔ x ∈ 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✝⁵ : Ring R
inst✝⁴ : PartialOrder R
inst✝³ : AddCommGroup V
inst✝² : Module R V
inst✝¹ : AddTorsor V P
inst✝ : IsOrderedRing R
w x y z : P
h₁ : Wbtw R z x w
h₂ : Wbtw R z y x
⊢ Wbtw R z y w

Tactic:
exact h₁.trans_left h₂

Goal state after:
Module: Mathlib.CategoryTheory.CofilteredSystem

Goal state before:
pp: case refine_1
J : Type u
inst✝¹ : Category.{v_1, u} J
F : J ⥤ Type v
i : J
s : Set (F.obj i)
inst✝ : IsCofilteredOrEmpty J
h : F.IsMittagLeffler
j j₁ : J
g₁ : j₁ ⟶ i
f₁ : j₁ ⟶ j
j₂ : J
f₂ : j₂ ⟶ j₁
h₂ : F.eventualRange j₁ = range ⇑(ConcreteCategory.hom (F.map f₂))
j₃ : J
f₃ : j₃ ⟶ j₂
x : F.obj j₂
hx : x ∈ ⋂ f, ⇑(ConcreteCategory.hom (F.map f)) ⁻¹' s
this : (ConcreteCategory.hom (F.map f₂)) x ∈ F.eventualRange j₁
y : F.obj j₃
hy : y ∈ F.eventualRange j₃
h₃ : (ConcreteCategory.hom (F.map (f₃ ≫ f₂))) y = (ConcreteCategory.hom (F.map f₂)) x
g₂ : j₃ ⟶ i
⊢ y ∈ ⇑(ConcreteCategory.hom (F.map g₂)) ⁻¹' s

Tactic:
obtain ⟨j₄, f₄, h₄⟩ := IsCofilteredOrEmpty.cone_maps g₂ ((f₃ ≫ f₂) ≫ g₁)

Goal state after:
case refine_1
J : Type u
inst✝¹ : Category.{v_1, u} J
F : J ⥤ Type v
i : J
s : Set (F.obj i)
inst✝ : IsCofilteredOrEmpty J
h : F.IsMittagLeffler
j j₁ : J
g₁ : j₁ ⟶ i
f₁ : j₁ ⟶ j
j₂ : J
f₂ : j₂ ⟶ j₁
h₂ : F.eventualRange j₁ = range ⇑(ConcreteCategory.hom (F.map f₂))
j₃ : J
f₃ : j₃ ⟶ j₂
x : F.obj j₂
hx : x ∈ ⋂ f, ⇑(ConcreteCategory.hom (F.map f)) ⁻¹' s
this : (ConcreteCategory.hom (F.map f₂)) x ∈ F.eventualRange j₁
y : F.obj j₃
hy : y ∈ F.eventualRange j₃
h₃ : (ConcreteCategory.hom (F.map (f₃ ≫ f₂))) y = (ConcreteCategory.hom (F.map f₂)) x
g₂ : j₃ ⟶ i
j₄ : J
f₄ : j₄ ⟶ j₃
h₄ : f₄ ≫ g₂ = f₄ ≫ (f₃ ≫ f₂) ≫ g₁
⊢ y ∈ ⇑(ConcreteCategory.hom (F.map g₂)) ⁻¹' s
Module: Mathlib.Analysis.Convex.Approximation

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
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
hφc : LowerSemicontinuous φ
hφcv : ConvexOn ℝ univ φ
⊢ ∃ l c, (∀ (i : ℕ), ⇑re ∘ ⇑(l i) + const E (c i) ≤ φ) ∧ ⨆ i, ⇑re ∘ ⇑(l i) + const E (c i) = φ

Tactic:
obtain ⟨l, c, hle, hsup⟩ := hφcv.sSup_of_nat_affine_eq (𝕜 := 𝕜) (s := univ) isClosed_univ
    (lowerSemicontinuousOn_univ_iff.2 hφc)

Goal state after:
𝕜 : Type u_1
E : Type u_2
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
hφc : LowerSemicontinuous φ
hφcv : ConvexOn ℝ univ φ
l : ℕ → E →L[𝕜] 𝕜
c : ℕ → ℝ
hle : ∀ (i : ℕ), univ.domRestrict (⇑re ∘ ⇑(l i)) + const (↑univ) (c i) ≤ univ.domRestrict φ
hsup : ⨆ i, univ.domRestrict (⇑re ∘ ⇑(l i)) + const (↑univ) (c i) = univ.domRestrict φ
⊢ ∃ l c, (∀ (i : ℕ), ⇑re ∘ ⇑(l i) + const E (c i) ≤ φ) ∧ ⨆ i, ⇑re ∘ ⇑(l i) + const E (c i) = φ
Module: Mathlib.Data.PEquiv

Goal state before:
pp: α : Type u
β : Type v
inst✝¹ : DecidableEq α
inst✝ : DecidableEq β
a₁ a₂ : α
b₁ b₂ : β
⊢ b₁ ∈ (single a₂ b₂) a₁ ↔ a₁ = a₂ ∧ b₁ = b₂

Tactic:
by
  dsimp [single]; split_ifs <;> simp [*, eq_comm]

Goal state after:
Module: Mathlib.CategoryTheory.CofilteredSystem

Goal state before:
pp: J : Type u
inst✝⁵ : Category.{v_1, u} J
F : J ⥤ Type v
inst✝⁴ : IsCofilteredOrEmpty J
inst✝³ : ∀ (j : J), Nonempty (F.obj j)
inst✝² : ∀ (j : J), Finite (F.obj j)
Fsur : ∀ ⦃i j : J⦄ (f : i ⟶ j), Function.Surjective ⇑(ConcreteCategory.hom (F.map f))
inst✝¹ : Nonempty J
inst✝ : Finite ↑F.sections
this✝ : (j : J) → Fintype (F.obj j)
this : Fintype ↑F.sections
card_le : ∀ (j : J), Fintype.card (F.obj j) ≤ Fintype.card ↑F.sections
fn : J → ℕ := fun j ↦ Fintype.card ↑F.sections - Fintype.card (F.obj j)
⊢ ∃ j, ∀ (i : J) (f : i ⟶ j), Function.Injective ⇑(ConcreteCategory.hom (F.map f))

Tactic:
refine ⟨fn.argmin,
    fun i f => ((Fintype.bijective_iff_surjective_and_card _).2
      ⟨Fsur f, le_antisymm ?_ (Fintype.card_le_of_surjective _ <| Fsur f)⟩).1⟩

Goal state after:
J : Type u
inst✝⁵ : Category.{v_1, u} J
F : J ⥤ Type v
inst✝⁴ : IsCofilteredOrEmpty J
inst✝³ : ∀ (j : J), Nonempty (F.obj j)
inst✝² : ∀ (j : J), Finite (F.obj j)
Fsur : ∀ ⦃i j : J⦄ (f : i ⟶ j), Function.Surjective ⇑(ConcreteCategory.hom (F.map f))
inst✝¹ : Nonempty J
inst✝ : Finite ↑F.sections
this✝ : (j : J) → Fintype (F.obj j)
this : Fintype ↑F.sections
card_le : ∀ (j : J), Fintype.card (F.obj j) ≤ Fintype.card ↑F.sections
fn : J → ℕ := fun j ↦ Fintype.card ↑F.sections - Fintype.card (F.obj j)
i : J
f : i ⟶ Function.argmin fn
⊢ Fintype.card ((fun X ↦ X) (F.obj i)) ≤ Fintype.card ((fun X ↦ X) (F.obj (Function.argmin fn)))
Module: Mathlib.LinearAlgebra.Matrix.Stochastic

Goal state before:
pp: R✝ : Type u_1
n✝ : Type u_2
inst✝⁹ : Fintype n✝
inst✝⁸ : DecidableEq n✝
inst✝⁷ : Semiring R✝
inst✝⁶ : PartialOrder R✝
inst✝⁵ : IsOrderedRing R✝
M✝ : Matrix n✝ n✝ R✝
x : n✝ → R✝
R : Type u_3
n : Type u_4
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Semiring R
inst✝¹ : PartialOrder R
inst✝ : IsOrderedRing R
M N : Matrix n n R
hM : M ∈ {M | (∀ (i j : n), 0 ≤ M i j) ∧ M *ᵥ 1 = 1}
hN : N ∈ {M | (∀ (i j : n), 0 ≤ M i j) ∧ M *ᵥ 1 = 1}
⊢ M *ᵥ N *ᵥ 1 = 1

Tactic:
hN.2,

Goal state after:
R✝ : Type u_1
n✝ : Type u_2
inst✝⁹ : Fintype n✝
inst✝⁸ : DecidableEq n✝
inst✝⁷ : Semiring R✝
inst✝⁶ : PartialOrder R✝
inst✝⁵ : IsOrderedRing R✝
M✝ : Matrix n✝ n✝ R✝
x : n✝ → R✝
R : Type u_3
n : Type u_4
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Semiring R
inst✝¹ : PartialOrder R
inst✝ : IsOrderedRing R
M N : Matrix n n R
hM : M ∈ {M | (∀ (i j : n), 0 ≤ M i j) ∧ M *ᵥ 1 = 1}
hN : N ∈ {M | (∀ (i j : n), 0 ≤ M i j) ∧ M *ᵥ 1 = 1}
⊢ M *ᵥ 1 = 1
Module: Mathlib.LinearAlgebra.Matrix.Stochastic

Goal state before:
pp: R : Type u_1
n : Type u_2
inst✝⁴ : Fintype n
inst✝³ : DecidableEq n
inst✝² : Semiring R
inst✝¹ : PartialOrder R
inst✝ : IsOrderedRing R
M : Matrix n n R
x : n → R
hM : M ∈ colStochastic R n
hx : ∀ (i : n), 0 ≤ x i
⊢ ∀ (j : n), 0 ≤ (x ᵥ* M) j

Tactic:
by
  intro j
  simp only [Matrix.vecMul, dotProduct]
  apply Finset.sum_nonneg
  intro k _
  refine Left.mul_nonneg (hx k) ?_
  exact nonneg_of_mem_colStochastic hM

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

Goal state before:
pp: case neg
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
w z : P
t₁ : R
ht₁ : t₁ ∈ Set.Icc 0 1
t₂ : R
ht₂ : t₂ ∈ Set.Icc 0 1
h : ¬1 - t₂ * t₁ = 0
⊢ ((t₁ - t₂ * t₁) * 1 + t₂ * t₁) • (z -ᵥ w) = t₁ • (z -ᵥ w)

Tactic:
ring_nf

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
M : Matrix n n R
hM : M ∈ doublyStochastic R n
h✝ : Nonempty n
w : Equiv.Perm n → R
hw1 : ∀ (σ : Equiv.Perm n), 0 ≤ w σ
hw3 : ∑ σ, w σ • Equiv.Perm.permMatrix R σ = M
inhabited_h : Inhabited n
⊢ ∑ x, M default x = 1

Tactic:
sum_row_of_mem_doublyStochastic 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
M : Matrix n n R
hM : M ∈ doublyStochastic R n
h✝ : Nonempty n
w : Equiv.Perm n → R
hw1 : ∀ (σ : Equiv.Perm n), 0 ≤ w σ
hw3 : ∑ σ, w σ • Equiv.Perm.permMatrix R σ = M
inhabited_h : Inhabited n
⊢ 1 = 1
Module: Mathlib.Analysis.Convex.Between

Goal state before:
pp: R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
x y z : P
⊢ Wbtw R x y z ↔ SameRay R (y -ᵥ x) (z -ᵥ y)

Tactic:
by
  simp [← wbtw_vsub_const_iff x, ← mem_segment_iff_wbtw, mem_segment_iff_sameRay]

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

Goal state before:
pp: R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
x y z : P
r₁ r₂ : R
hr₁ : 0 < r₁
hr₂ : 0 < r₂
h : r₁ • (y -ᵥ x) = r₂ • (z -ᵥ x)
hr : r₂ ≤ r₁
h' : y = r₁⁻¹ • r₂ • (z -ᵥ x) +ᵥ x
⊢ (r₂ / r₁) • (z -ᵥ x) = (r₁⁻¹ * r₂) • (z -ᵥ x)

Tactic:
ring_nf

Goal state after:
Module: Mathlib.Geometry.Convex.Cone.TensorProduct

Goal state before:
pp: R : Type u_1
inst✝⁶ : CommRing R
inst✝⁵ : LinearOrder R
inst✝⁴ : IsStrictOrderedRing R
G : Type u_2
inst✝³ : AddCommGroup G
inst✝² : Module R G
H : Type u_3
inst✝¹ : AddCommGroup H
inst✝ : Module R H
C₁ : PointedCone R G
C₂ : PointedCone R H
z : H ⊗[R] G
⊢ (∃ x,
      (∀ φ ∈ dual (Dual.eval R G) ↑C₁, ∀ ψ ∈ dual (Dual.eval R H) ↑C₂, 0 ≤ ((dualDistrib R G H) (φ ⊗ₜ[R] ψ)) x) ∧
        ↑(TensorProduct.comm R G H) x = z) ↔
    ∀ φ ∈ dual (Dual.eval R H) ↑C₂, ∀ ψ ∈ dual (Dual.eval R G) ↑C₁, 0 ≤ ((dualDistrib R H G) (φ ⊗ₜ[R] ψ)) z

Tactic:
refine ⟨?_, fun hz ↦
    ⟨(TensorProduct.comm R H G) z, ?_, (TensorProduct.comm R H G).symm_apply_apply z⟩⟩

Goal state after:
case refine_1
R : Type u_1
inst✝⁶ : CommRing R
inst✝⁵ : LinearOrder R
inst✝⁴ : IsStrictOrderedRing R
G : Type u_2
inst✝³ : AddCommGroup G
inst✝² : Module R G
H : Type u_3
inst✝¹ : AddCommGroup H
inst✝ : Module R H
C₁ : PointedCone R G
C₂ : PointedCone R H
z : H ⊗[R] G
⊢ (∃ x,
      (∀ φ ∈ dual (Dual.eval R G) ↑C₁, ∀ ψ ∈ dual (Dual.eval R H) ↑C₂, 0 ≤ ((dualDistrib R G H) (φ ⊗ₜ[R] ψ)) x) ∧
        ↑(TensorProduct.comm R G H) x = z) →
    ∀ φ ∈ dual (Dual.eval R H) ↑C₂, ∀ ψ ∈ dual (Dual.eval R G) ↑C₁, 0 ≤ ((dualDistrib R H G) (φ ⊗ₜ[R] ψ)) z

case refine_2
R : Type u_1
inst✝⁶ : CommRing R
inst✝⁵ : LinearOrder R
inst✝⁴ : IsStrictOrderedRing R
G : Type u_2
inst✝³ : AddCommGroup G
inst✝² : Module R G
H : Type u_3
inst✝¹ : AddCommGroup H
inst✝ : Module R H
C₁ : PointedCone R G
C₂ : PointedCone R H
z : H ⊗[R] G
hz : ∀ φ ∈ dual (Dual.eval R H) ↑C₂, ∀ ψ ∈ dual (Dual.eval R G) ↑C₁, 0 ≤ ((dualDistrib R H G) (φ ⊗ₜ[R] ψ)) z
⊢ ∀ φ ∈ dual (Dual.eval R G) ↑C₁,
    ∀ ψ ∈ dual (Dual.eval R H) ↑C₂, 0 ≤ ((dualDistrib R G H) (φ ⊗ₜ[R] ψ)) ((TensorProduct.comm R H G) z)
Module: Mathlib.Analysis.Convex.GaugeRescale

Goal state before:
pp: E : Type u_1
inst✝¹ : AddCommGroup E
inst✝ : Module ℝ E
s t : Set E
c : ℝ
hc : 0 ≤ c
x : E
⊢ gaugeRescale s t (c • x) = c • gaugeRescale s t x

Tactic:
by
  simp only [gaugeRescale, gauge_smul_of_nonneg hc, smul_smul, smul_eq_mul]
  rw [mul_div_mul_comm, mul_right_comm, div_self_mul_self]

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

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
inst✝⁶ : TopologicalSpace 𝕜
inst✝⁵ : Ring 𝕜
inst✝⁴ : PartialOrder 𝕜
inst✝³ : AddCommMonoid E
inst✝² : TopologicalSpace E
inst✝¹ : Module 𝕜 E
inst✝ : OrderClosedTopology 𝕜
A B : Set E
hAB : IsExposed 𝕜 A B
hA : IsClosed A
⊢ IsClosed B

Tactic:
obtain rfl | hB := B.eq_empty_or_nonempty
  · simp
  obtain ⟨l, a, rfl⟩ := hAB.eq_inter_halfSpace' hB
  exact hA.isClosed_le continuousOn_const l.continuous.continuousOn

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

Goal state before:
pp: 𝕜 : Type u_2
E : Type u_3
inst✝³ : Semiring 𝕜
inst✝² : PartialOrder 𝕜
inst✝¹ : AddCommMonoid E
inst✝ : Module 𝕜 E
s t : Set E
x : E
⊢ x ∈ convexJoin 𝕜 s t ↔ ∃ a ∈ s, ∃ b ∈ t, x ∈ segment 𝕜 a b

Tactic:
by
  simp [convexJoin]

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

Goal state before:
pp: f : ℝ → ℝ
y z : ℝ
hf_cnv : ConcaveOn ℝ (Icc y z) f
hyz : y < z
hfy : ContinuousWithinAt f (Ici y) y
hfz : ContinuousWithinAt f (Iic z) z
⊢ ContinuousOn f (Icc y z)

Tactic:
simpa using hf_cnv.neg.continuousOn_Icc hyz hfy.neg hfz.neg

Goal state after:
Module: Mathlib.Geometry.Convex.ConvexSpace.Defs

Goal state before:
pp: R : Type u_1
X : Type u_2
M : Type u_3
N : Type u_4
P : Type u_5
I : Type u_6
J : Type u_7
K : Type u_8
inst✝² : Semifield K
inst✝¹ : LinearOrder K
inst✝ : IsStrictOrderedRing K
w : StdSimplex K X
s : Set X
hs : ∃ x ∈ s, w.weights x ≠ 0
⊢ 0 ≤ ((filter (fun x ↦ x ∈ s) w.weights).sum fun x k ↦ k)⁻¹ • filter (fun x ↦ x ∈ s) w.weights

Tactic:
by
    classical
    exact smul_nonneg (inv_nonneg.2 restrict_nonneg_aux) fun _ ↦ by simp [filter_apply, apply_ite]

Goal state after:
Module: Mathlib.Geometry.Convex.ConvexSpace.Defs

Goal state before:
pp: R : Type u_1
M : Type u_3
inst✝³ : PartialOrder R
inst✝² : Semiring R
inst✝¹ : IsStrictOrderedRing R
inst✝ : ConvexSpace R M
s t : R
hs : 0 ≤ s
ht : 0 ≤ t
hst : s + t = 1
w w' : StdSimplex R M
⊢ sConvexComb (convexCombPair s t hs ht hst w w') = convexCombPair s t hs ht hst (sConvexComb w) (sConvexComb w')

Tactic:
simp [convexCombPair, sConvexComb_sConvexComb]

Goal state after:
Module: Mathlib.Geometry.Convex.Set

Goal state before:
pp: R : Type u_3
X : Type u_5
Y : Type u_6
inst✝⁴ : Semiring R
inst✝³ : PartialOrder R
inst✝² : IsStrictOrderedRing R
inst✝¹ : ConvexSpace R X
inst✝ : ConvexSpace R Y
f : X → Y
s : Set X
hf : IsAffineMap R f
hs : IsConvexSet R s
w : StdSimplex R Y
hw : ↑w.weights.support ⊆ f '' s
u : Finset X
hus : ↑u ⊆ s
hfu : InjOn f ↑u
huw : Finset.image f u = w.weights.support
x : X
⊢ 0 x ≤ (onFinset u (fun x ↦ if x ∈ u then w.weights (f x) else 0) ⋯) x

Tactic:
by simp; split <;> simp

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

Goal state before:
pp: case hb
𝕜 : Type u_1
E : Type u_2
β : Type u_3
inst✝¹¹ : Semiring 𝕜
inst✝¹⁰ : PartialOrder 𝕜
inst✝⁹ : AddCommMonoid E
inst✝⁸ : LinearOrder E
inst✝⁷ : IsOrderedAddMonoid E
inst✝⁶ : Module 𝕜 E
inst✝⁵ : PosSMulMono 𝕜 E
inst✝⁴ : AddCommGroup β
inst✝³ : PartialOrder β
inst✝² : IsOrderedAddMonoid β
inst✝¹ : Module 𝕜 β
inst✝ : PosSMulMono 𝕜 β
e : E
f g : E → β
hf : ConvexOn 𝕜 (Set.Iic e) f
hg : ConvexOn 𝕜 (Set.Ici e) g
h_anti : AntitoneOn f (Set.Iic e)
h_mono : MonotoneOn g (Set.Ici e)
h_eq : f e = g e
x : E
x✝¹ : x ∈ Set.univ
y : E
x✝ : y ∈ Set.univ
a b : 𝕜
ha : 0 ≤ a
hb : 0 ≤ b
hab : a + b = 1
hx : x ≤ e
hy : e < y
hc : e < a • x + b • y
hc' : a • x + b • y ≤ a • e + b • y
⊢ f e ≤ f x

Tactic:
exact h_anti hx Set.self_mem_Iic hx

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

Goal state before:
pp: case neg
ι : Type u_1
𝕜 : Type u_2
E : Type u_3
inst✝⁷ : Field 𝕜
inst✝⁶ : LinearOrder 𝕜
inst✝⁵ : IsStrictOrderedRing 𝕜
inst✝⁴ : AddCommGroup E
inst✝³ : Module 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : TopologicalSpace E
inst✝ : T2Space E
F : ι → Set E
h_card : ↑(finrank 𝕜 E) + 1 ≤ ENat.card ι
h_convex : ∀ (i : ι), Convex 𝕜 (F i)
h_compact : ∀ (i : ι), IsCompact (F i)
h_inter : ∀ (I : Finset ι), #I = finrank 𝕜 E + 1 → (⋂ i ∈ I, F i).Nonempty
I : Finset ι
hI_card : #I ≤ finrank 𝕜 E + 1
h : ¬Infinite ι
⊢ ∃ J, I ⊆ J ∧ #J = finrank 𝕜 E + 1

Tactic:
· have : Finite ι := Finite.of_not_infinite h
      have : Fintype ι := Fintype.ofFinite ι
      apply exists_superset_card_eq hI_card
      simp only [ENat.card_eq_coe_fintype_card] at h_card
      rwa [← Nat.cast_one, ← Nat.cast_add, Nat.cast_le] at h_card

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

Goal state before:
pp: case a
𝕜 : Type u_2
E : Type u_3
inst✝⁷ : Field 𝕜
inst✝⁶ : LinearOrder 𝕜
inst✝⁵ : IsStrictOrderedRing 𝕜
inst✝⁴ : AddCommGroup E
inst✝³ : Module 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : TopologicalSpace E
inst✝ : T2Space E
F : Set (Set E)
h_card : ↑(finrank 𝕜 E) + 1 ≤ F.encard
h_convex : ∀ X ∈ F, Convex 𝕜 X
h_compact : ∀ X ∈ F, IsCompact X
h_inter : ∀ (G : Finset (Set E)), ↑G ⊆ F → #G = finrank 𝕜 E + 1 → (⋂₀ ↑G).Nonempty
I : Finset (Set E)
hI_ss : ↑I ⊆ F
hI_card : #I ≤ finrank 𝕜 E + 1
J : Set (Set E)
left✝ : ↑I ⊆ J
hJ_ss : J ⊆ F
hJ_card : J.encard = ↑(finrank 𝕜 E) + 1
hJ_fin : Fintype ↑J
J' : Finset (Set E) := ⋯
⊢ #J' = finrank 𝕜 E + 1

Tactic:
encard_eq_coe_toFinset_card J,

Goal state after:
case a
𝕜 : Type u_2
E : Type u_3
inst✝⁷ : Field 𝕜
inst✝⁶ : LinearOrder 𝕜
inst✝⁵ : IsStrictOrderedRing 𝕜
inst✝⁴ : AddCommGroup E
inst✝³ : Module 𝕜 E
inst✝² : FiniteDimensional 𝕜 E
inst✝¹ : TopologicalSpace E
inst✝ : T2Space E
F : Set (Set E)
h_card : ↑(finrank 𝕜 E) + 1 ≤ F.encard
h_convex : ∀ X ∈ F, Convex 𝕜 X
h_compact : ∀ X ∈ F, IsCompact X
h_inter : ∀ (G : Finset (Set E)), ↑G ⊆ F → #G = finrank 𝕜 E + 1 → (⋂₀ ↑G).Nonempty
I : Finset (Set E)
hI_ss : ↑I ⊆ F
hI_card : #I ≤ finrank 𝕜 E + 1
J : Set (Set E)
left✝ : ↑I ⊆ J
hJ_ss : J ⊆ F
hJ_fin : Fintype ↑J
hJ_card : ↑(#J.toFinset) = ↑(finrank 𝕜 E) + 1
J' : Finset (Set E) := J.toFinset
⊢ #J' = finrank 𝕜 E + 1
Module: Mathlib.Combinatorics.SimpleGraph.Basic

Goal state before:
pp: V : Type u
v w : V
⊢ (fromEdgeSet ∅).Adj v w ↔ ⊥.Adj v w

Tactic:
simp only [fromEdgeSet_adj, Set.mem_empty_iff_false, false_and, bot_adj]

Goal state after:
Module: Mathlib.Combinatorics.SimpleGraph.Basic

Goal state before:
pp: V : Type u
G : SimpleGraph V
v w : V
h : ∀ {a b : V}, G.Adj a b → a ≠ b
⊢ G.Adj v w ∨ Gᶜ.Adj v w ↔ w ∈ {v}ᶜ

Tactic:
compl_adj,

Goal state after:
V : Type u
G : SimpleGraph V
v w : V
h : ∀ {a b : V}, G.Adj a b → a ≠ b
⊢ G.Adj v w ∨ v ≠ w ∧ ¬G.Adj v w ↔ w ∈ {v}ᶜ
Module: Mathlib.Analysis.Convex.StrictConvexBetween

Goal state before:
pp: case inr.inr
V : Type u_1
P : Type u_2
inst✝⁴ : NormedAddCommGroup V
inst✝³ : NormedSpace ℝ V
inst✝² : StrictConvexSpace ℝ V
inst✝¹ : PseudoMetricSpace P
inst✝ : NormedAddTorsor V P
p p₁ p₂ p₃ : P
hp₁p₃ : p₁ -ᵥ p ≠ p₃ -ᵥ p
h : p₂ -ᵥ p ∈ openSegment ℝ (p₁ -ᵥ p) (p₃ -ᵥ p)
hp₂p₁ : p₂ ≠ p₁
hp₂p₃ : p₂ ≠ p₃
⊢ dist p₂ p < max (dist p₁ p) (dist p₃ p)

Tactic:
openSegment_eq_image,

Goal state after:
case inr.inr
V : Type u_1
P : Type u_2
inst✝⁴ : NormedAddCommGroup V
inst✝³ : NormedSpace ℝ V
inst✝² : StrictConvexSpace ℝ V
inst✝¹ : PseudoMetricSpace P
inst✝ : NormedAddTorsor V P
p p₁ p₂ p₃ : P
hp₁p₃ : p₁ -ᵥ p ≠ p₃ -ᵥ p
h : p₂ -ᵥ p ∈ (fun θ ↦ (1 - θ) • (p₁ -ᵥ p) + θ • (p₃ -ᵥ p)) '' Set.Ioo 0 1
hp₂p₁ : p₂ ≠ p₁
hp₂p₃ : p₂ ≠ p₃
⊢ dist p₂ p < max (dist p₁ p) (dist p₃ p)
Module: Mathlib.Analysis.Convex.StoneSeparation

Goal state before:
pp: case inl
𝕜 : Type u_1
E : Type u_2
inst✝⁴ : Field 𝕜
inst✝³ : LinearOrder 𝕜
inst✝² : IsStrictOrderedRing 𝕜
inst✝¹ : AddCommGroup E
inst✝ : Module 𝕜 E
p q u v x y : E
hu : u ∈ segment 𝕜 x p
hv : v ∈ segment 𝕜 y q
bz : 𝕜
hbz : 0 ≤ bz
haz : 0 ≤ 0
habz : bz = 1
⊢ ∃ x ∈ segment 𝕜 u v, x ∈ (convexHull 𝕜) {p, q, y}

Tactic:
refine ⟨v, by apply right_mem_segment, segment_subset_convexHull ?_ ?_ hv⟩

Goal state after:
case inl.refine_1
𝕜 : Type u_1
E : Type u_2
inst✝⁴ : Field 𝕜
inst✝³ : LinearOrder 𝕜
inst✝² : IsStrictOrderedRing 𝕜
inst✝¹ : AddCommGroup E
inst✝ : Module 𝕜 E
p q u v x y : E
hu : u ∈ segment 𝕜 x p
hv : v ∈ segment 𝕜 y q
bz : 𝕜
hbz : 0 ≤ bz
haz : 0 ≤ 0
habz : bz = 1
⊢ y ∈ {p, q, y}

case inl.refine_2
𝕜 : Type u_1
E : Type u_2
inst✝⁴ : Field 𝕜
inst✝³ : LinearOrder 𝕜
inst✝² : IsStrictOrderedRing 𝕜
inst✝¹ : AddCommGroup E
inst✝ : Module 𝕜 E
p q u v x y : E
hu : u ∈ segment 𝕜 x p
hv : v ∈ segment 𝕜 y q
bz : 𝕜
hbz : 0 ≤ bz
haz : 0 ≤ 0
habz : bz = 1
⊢ q ∈ {p, q, y}
Module: Mathlib.Analysis.Convex.Side

Goal state before:
pp: case inr.inr.refine_1
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
s : AffineSubspace R P
x y p₁ : P
hp₁ : p₁ ∈ s
p₂ : P
hp₂ : p₂ ∈ s
r₁ r₂ : R
hr₁ : 0 < r₁
hr₂ : 0 < r₂
h : r₁ • (x -ᵥ p₁) = r₂ • (p₂ -ᵥ y)
⊢ (lineMap x y) (r₂ / (r₁ + r₂)) ∈ s

Tactic:
have : (r₂ / (r₁ + r₂)) • (y -ᵥ p₂ + (p₂ -ᵥ p₁) - (x -ᵥ p₁)) + (x -ᵥ p₁) =
          (r₂ / (r₁ + r₂)) • (p₂ -ᵥ p₁) := by
        rw [← neg_vsub_eq_vsub_rev p₂ y]
        linear_combination (norm := match_scalars <;> field) (r₁ + r₂)⁻¹ • h

Goal state after:
case inr.inr.refine_1
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
s : AffineSubspace R P
x y p₁ : P
hp₁ : p₁ ∈ s
p₂ : P
hp₂ : p₂ ∈ s
r₁ r₂ : R
hr₁ : 0 < r₁
hr₂ : 0 < r₂
h : r₁ • (x -ᵥ p₁) = r₂ • (p₂ -ᵥ y)
this : (r₂ / (r₁ + r₂)) • (y -ᵥ p₂ + (p₂ -ᵥ p₁) - (x -ᵥ p₁)) + (x -ᵥ p₁) = (r₂ / (r₁ + r₂)) • (p₂ -ᵥ p₁)
⊢ (lineMap x y) (r₂ / (r₁ + r₂)) ∈ s
Module: Mathlib.Analysis.Convex.Side

Goal state before:
pp: case refine_1
R : Type u_1
V : Type u_2
P : Type u_4
inst✝⁵ : Field R
inst✝⁴ : LinearOrder R
inst✝³ : IsStrictOrderedRing R
inst✝² : AddCommGroup V
inst✝¹ : Module R V
inst✝ : AddTorsor V P
s : AffineSubspace R P
y p : P
hp : p ∈ s
h : s.SOppSide p y
hw : Wbtw R p p y
⊢ False

Tactic:
exact h.2.1 hp

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

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : InnerProductSpace ℝ E
b m : ℝ
x y : E
f : E → ℝ
hb : 0 ≤ b
ha : 0 ≤ 1 - b
hab : 1 - b + b = 1
⊢ (1 - b) * (f x - m / 2 * ‖x‖ ^ 2) + b * (f y - m / 2 * ‖y‖ ^ 2) +
      m / 2 * ((1 - b) ^ 2 * ‖x‖ ^ 2 + 2 * ((1 - b) * (b * inner ℝ x y)) + b ^ 2 * ‖y‖ ^ 2) =
    (1 - b) * f x + b * f y - m / 2 * (1 - b) * b * (‖x‖ ^ 2 - 2 * inner ℝ x y + ‖y‖ ^ 2)

Tactic:
ring_nf

Goal state after:
Module: Mathlib.MeasureTheory.Function.Holder

Goal state before:
pp: α : Type u_1
𝕜 : Type u_3
E : Type u_4
m : MeasurableSpace α
μ : Measure α
p q r : ℝ≥0∞
hpqr : p.HolderTriple q r
inst✝³ : NormedRing 𝕜
inst✝² : NormedAddCommGroup E
inst✝¹ : Module 𝕜 E
inst✝ : IsBoundedSMul 𝕜 E
f₁ f₂ : ↥(Lp 𝕜 p μ)
g : ↥(Lp E q μ)
⊢ (f₁ + f₂) • g = f₁ • g + f₂ • g

Tactic:
simp only [smul_def, ← MemLp.toLp_add]
  apply MemLp.toLp_congr
  filter_upwards [AEEqFun.coeFn_add f₁.val f₂.val] with x hx
  simp [hx, add_smul]

Goal state after:
Module: Mathlib.MeasureTheory.Integral.Layercake

Goal state before:
pp: α : Type u_1
inst✝¹ : MeasurableSpace α
f : α → ℝ
g : ℝ → ℝ
μ : Measure α
inst✝ : SFinite μ
f_nn : 0 ≤ f
f_mble : Measurable f
g_intble : ∀ t > 0, IntervalIntegrable g volume 0 t
g_mble : Measurable g
g_nn : ∀ t > 0, 0 ≤ g t
g_intble' : ∀ (t : ℝ), 0 ≤ t → IntervalIntegrable g volume 0 t
integrand_eq : ∀ (ω : α), ENNReal.ofReal (∫ (t : ℝ) in 0..f ω, g t) = ∫⁻ (t : ℝ) in Ioc 0 (f ω), ENNReal.ofReal (g t)
⊢ ∫⁻ (a : α), ∫⁻ (a_1 : ℝ), (Ioc 0 (f a)).indicator (fun t ↦ ENNReal.ofReal (g t)) a_1 ∂μ =
    ∫⁻ (t : ℝ) in Ioi 0, μ {a | t ≤ f a} * ENNReal.ofReal (g t)

Tactic:
← lintegral_indicator measurableSet_Ioi,

Goal state after:
α : Type u_1
inst✝¹ : MeasurableSpace α
f : α → ℝ
g : ℝ → ℝ
μ : Measure α
inst✝ : SFinite μ
f_nn : 0 ≤ f
f_mble : Measurable f
g_intble : ∀ t > 0, IntervalIntegrable g volume 0 t
g_mble : Measurable g
g_nn : ∀ t > 0, 0 ≤ g t
g_intble' : ∀ (t : ℝ), 0 ≤ t → IntervalIntegrable g volume 0 t
integrand_eq : ∀ (ω : α), ENNReal.ofReal (∫ (t : ℝ) in 0..f ω, g t) = ∫⁻ (t : ℝ) in Ioc 0 (f ω), ENNReal.ofReal (g t)
⊢ ∫⁻ (a : α), ∫⁻ (a_1 : ℝ), (Ioc 0 (f a)).indicator (fun t ↦ ENNReal.ofReal (g t)) a_1 ∂μ =
    ∫⁻ (a : ℝ), (Ioi 0).indicator (fun t ↦ μ {a | t ≤ f a} * ENNReal.ofReal (g t)) a
Module: Mathlib.Analysis.SpecialFunctions.JapaneseBracket

Goal state before:
pp: E : Type u_1
inst✝⁵ : NormedAddCommGroup E
inst✝⁴ : NormedSpace ℝ E
inst✝³ : FiniteDimensional ℝ E
inst✝² : MeasurableSpace E
inst✝¹ : BorelSpace E
μ : Measure E
inst✝ : μ.IsAddHaarMeasure
r : ℝ
hnr : ↑(finrank ℝ E) < r
hr : 0 < r
h_meas : Measurable fun ω ↦ (1 + ‖ω‖) ^ (-r)
h_pos : ∀ (x : E), 0 ≤ (1 + ‖x‖) ^ (-r)
t : ℝ
ht : 0 < t
⊢ μ {a | t ≤ (1 + ‖a‖) ^ (-r)} = μ (Metric.closedBall 0 (t ^ (-r⁻¹) - 1))

Tactic:
congr 1
    ext x
    simp only [mem_ofPred_eq, mem_closedBall_zero_iff]
    exact le_rpow_one_add_norm_iff_norm_le hr (mem_Ioi.mp ht) x

Goal state after: