awhecmu/canonical-drafter-extract-mathlib huggingface dataset:
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
⊢ s = ⋃ (n : ℕ), s ∩ t n

Tactic:
have : s = ⋃ n, s ∩ t n := by
        rw [← inter_iUnion]
        exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : s = ⋃ (n : ℕ), s ∩ t n
rw : μ.restrict (⋃ (n : ℕ), s ∩ t n)
| μ.restrict s

Tactic:
rw [this]
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : s = ⋃ (n : ℕ), s ∩ t n
conv_lhs : μ.restrict (⋃ (n : ℕ), s ∩ t n) ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)
⊢ μ.restrict s ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)

Tactic:
conv_lhs => rw [this]
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : s = ⋃ (n : ℕ), s ∩ t n
⊢ μ.restrict (⋃ (n : ℕ), s ∩ t n) ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)

Tactic:
restrict_iUnion_le

Premises used: MeasureTheory.Measure.restrict_iUnion_le
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : s = ⋃ (n : ℕ), s ∩ t n
⊢ μ.restrict (⋃ (n : ℕ), s ∩ t n) ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)

Tactic:
exact restrict_iUnion_le

Premises used: MeasureTheory.Measure.restrict_iUnion_le
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
⊢ μ.restrict s ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)

Tactic:
have : μ.restrict s ≤ sum fun n => μ.restrict (s ∩ t n) := by
      have : s = ⋃ n, s ∩ t n := by
        rw [← inter_iUnion]
        exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
      conv_lhs => rw [this]
      exact restrict_iUnion_le
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : μ.restrict s ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)
⊢ ∀ᵐ (x : E) ∂μ.restrict s, dist (g x) (f' x) ≤ ε

Tactic:
ae_mono this H

Premises used: Filter.Eventually, MeasureTheory.ae_mono
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
H : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
this : μ.restrict s ≤ sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n)
⊢ ∀ᵐ (x : E) ∂μ.restrict s, dist (g x) (f' x) ≤ ε

Tactic:
exact ae_mono this H

Premises used: MeasureTheory.ae_mono
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
suffices : ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
⊢ ∀ᵐ (x : E) ∂μ.restrict s, dist (g x) (f' x) ≤ ε

Tactic:
suffices H : ∀ᵐ x : E ∂sum fun n ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε by
    have : μ.restrict s ≤ sum fun n => μ.restrict (s ∩ t n) := by
      have : s = ⋃ n, s ∩ t n := by
        rw [← inter_iUnion]
        exact Subset.antisymm (subset_inter Subset.rfl t_cover) inter_subset_left
      conv_lhs => rw [this]
      exact restrict_iUnion_le
    exact ae_mono this H
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
⊢ ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε

Tactic:
ae_sum_iff.2 fun n => ?_

Premises used: Iff.mpr, MeasureTheory.Measure.ae_sum_iff
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
refine : ∀ (n : ℕ), ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε
⊢ ∀ᵐ (x : E) ∂sum fun (n : ℕ) ↦ μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε

Tactic:
refine ae_sum_iff.2 fun n => ?_

Premises used: Iff.mpr, MeasureTheory.Measure.ae_sum_iff
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
⊢ ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ

Tactic:
have E₁ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ :=
    (ht n).norm_fderiv_sub_le μ (hs.inter (t_meas n)) f' fun x hx =>
      (hf' x hx.1).mono inter_subset_left
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
suffices : ∀ᵐ (x : E) ∂μ.restrict (t n), g x = A n
⊢ ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n

Tactic:
suffices H : ∀ᵐ x : E ∂μ.restrict (t n), g x = A n from
      ae_mono (restrict_mono inter_subset_right le_rfl) H
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
h : ∀ a ∈ t n, g a = A n
⊢ ∀ᵐ (x : E) ∂μ.restrict (t n), g x = A n

Tactic:
filter_upwards [ae_restrict_mem (t_meas n)]

Premises used: MeasureTheory.ae_restrict_mem
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
⊢ ∀ a ∈ t n, g a = A n

Tactic:
hg n
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
⊢ ∀ a ∈ t n, g a = A n

Tactic:
exact hg n
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
⊢ ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n

Tactic:
have E₂ : ∀ᵐ x : E ∂μ.restrict (s ∩ t n), g x = A n := by
    suffices H : ∀ᵐ x : E ∂μ.restrict (t n), g x = A n from
      ae_mono (restrict_mono inter_subset_right le_rfl) H
    filter_upwards [ae_restrict_mem (t_meas n)]
    exact hg n
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
h : ∀ (x : E) (hx1 : ‖f' x - A n‖₊ ≤ δ) (hx2 : g x = A n), dist (g x) (f' x) ≤ ε
⊢ ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), dist (g x) (f' x) ≤ ε

Tactic:
filter_upwards [E₁, E₂] with x hx1 hx2
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
x : E
hx1 : ‖f' x - A n‖₊ ≤ δ
hx2 : g x = A n
⊢ nndist (f' x) (A n) ≤ δ

Tactic:
rw [← nndist_eq_nnnorm] at hx1

Premises used: nndist_eq_nnnorm
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
x : E
hx1 : ‖f' x - A n‖₊ ≤ δ
hx2 : g x = A n
hx1₁ : nndist (f' x) (A n) ≤ δ
⊢ g x = A n

Tactic:
rw [← nndist_eq_nnnorm] at hx1

Premises used: nndist_eq_nnnorm
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
x : E
hx1 : nndist (f' x) (A n) ≤ δ
hx2 : g x = A n
h : dist (f' x) (A n) ≤ ε
⊢ dist (g x) (f' x) ≤ ε

Tactic:
rw [hx2, dist_comm]

Premises used: dist_comm
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
x : E
hx1 : nndist (f' x) (A n) ≤ δ
hx2 : g x = A n
⊢ dist (f' x) (A n) ≤ ε

Tactic:
hx1
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
ε : ℝ
εpos : ε > 0
δ : ℝ≥0 := Subtype.mk (p := fun (r : ℝ) ↦ 0 ≤ r) ε ⋯
δpos : 0 < δ
t : ℕ → Set E
A : ℕ → E →L[ℝ] E
t_disj : Pairwise (Disjoint on t)
t_meas : ∀ (n : ℕ), MeasurableSet (t n)
t_cover : s ⊆ ⋃ (n : ℕ), t n
ht : ∀ (n : ℕ), ApproximatesLinearOn f (A n) (s ∩ t n) δ
right : s.Nonempty → ∀ (n : ℕ), ∃ y ∈ s, A n = f' y
g : E → E →L[ℝ] E
g_meas : Measurable g
hg : ∀ (n : ℕ), ∀ x ∈ t n, g x = A n
n : ℕ
E₁ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), ‖f' x - A n‖₊ ≤ δ
E₂ : ∀ᵐ (x : E) ∂μ.restrict (s ∩ t n), g x = A n
x : E
hx1 : nndist (f' x) (A n) ≤ δ
hx2 : g x = A n
⊢ dist (f' x) (A n) ≤ ε

Tactic:
exact hx1
-- Module: Mathlib.MeasureTheory.Function.Jacobian
Goal:
E : Type u_1
inst : NormedAddCommGroup E
inst_1 : NormedSpace ℝ E
inst_2 : FiniteDimensional ℝ E
s : Set E
f : E → E
f' : E → E →L[ℝ] E
inst_3 : MeasurableSpace E
inst_4 : BorelSpace E
μ : Measure E
inst_5 : μ.IsAddHaarMeasure
hs : MeasurableSet s
hf' : ∀ x ∈ s, HasFDerivWithinAt f (f' x) s x
apply : AEMeasurable (β := ℝ) (fun (x : E) ↦ |(f' x).det|) (μ.restrict s)
⊢ AEMeasurable (β := ℝ≥0∞) (fun (x : E) ↦ ENNReal.ofReal |(f' x).det|) (μ.restrict s)

Tactic:
apply ENNReal.measurable_ofReal.comp_aemeasurable

Premises used: ENNReal.measurable_ofReal, Measurable.comp_aemeasurable