l3lab/ntp-mathlib huggingface dataset:
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
⊢ abv ((∑ k in range K, a k) * ∑ k in range K, b k - ∑ n in range K, ∑ m in range (n + 1), a m * b (n - m)) < ε

Next tactic:
have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by 

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
⊢ ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k

Next tactic:
rw [← sum_add_distrib]
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; 

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
⊢ ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ x in range K, (a x * (∑ k in range (K - x), b k - ∑ k in range K, b k) + a x * ∑ k in range K, b k)

Next tactic:
simp [(mul_add _ _ _).symm]
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
    

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
h₃ :
  ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k
⊢ abv ((∑ k in range K, a k) * ∑ k in range K, b k - ∑ n in range K, ∑ m in range (n + 1), a m * b (n - m)) < ε

Next tactic:
have two_mul_two : (4 : α) = 2 * 2 := by norm_num
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
    have two_mul_two : (4 : α) = 2 * 2 := by 

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
h₃ :
  ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k
⊢ 4 = 2 * 2

Next tactic:
norm_num
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
    have two_mul_two : (4 : α) = 2 * 2 := by norm_num
    

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
h₃ :
  ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k
two_mul_two : 4 = 2 * 2
⊢ abv ((∑ k in range K, a k) * ∑ k in range K, b k - ∑ n in range K, ∑ m in range (n + 1), a m * b (n - m)) < ε

Next tactic:
have hQ0 : Q ≠ 0 := fun h => by simp [h, lt_irrefl] at hQε0
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
    have two_mul_two : (4 : α) = 2 * 2 := by norm_num
    have hQ0 : Q ≠ 0 := fun h => by 

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
h₃ :
  ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k
two_mul_two : 4 = 2 * 2
h : Q = 0
⊢ False

Next tactic:
simp [h, lt_irrefl] at hQε0
theorem cauchy_product {a b : ℕ → β} (ha : IsCauSeq abs fun m => ∑ n in range m, abv (a n))
    (hb : IsCauSeq abv fun m => ∑ n in range m, b n) (ε : α) (ε0 : 0 < ε) :
    ∃ i : ℕ,
      ∀ j ≥ i,
        abv
            (((∑ k in range j, a k) * ∑ k in range j, b k) -
              ∑ n in range j, ∑ m in range (n + 1), a m * b (n - m)) <
          ε :=
  let ⟨Q, hQ⟩ := CauSeq.bounded ⟨_, hb⟩
  let ⟨P, hP⟩ := CauSeq.bounded ⟨_, ha⟩
  have hP0 : 0 < P := lt_of_le_of_lt (abs_nonneg _) (hP 0)
  have hPε0 : 0 < ε / (2 * P) := div_pos ε0 (mul_pos (show (2 : α) > 0 by norm_num) hP0)
  let ⟨N, hN⟩ := CauSeq.cauchy₂ ⟨_, hb⟩ hPε0
  have hQε0 : 0 < ε / (4 * Q) :=
    div_pos ε0 (mul_pos (show (0 : α) < 4 by norm_num) (lt_of_le_of_lt (abv_nonneg _ _) (hQ 0)))
  let ⟨M, hM⟩ := CauSeq.cauchy₂ ⟨_, ha⟩ hQε0
  ⟨2 * (max N M + 1), fun K hK => by
    have h₁ :
      (∑ m in range K, ∑ k in range (m + 1), a k * b (m - k)) =
        ∑ m in range K, ∑ n in range (K - m), a m * b n :=
      by simpa using sum_range_diag_flip K fun m n => a m * b n
    have h₂ :
      (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k := by
      simp [Finset.mul_sum]
    have h₃ :
      (∑ i in range K, a i * ∑ k in range (K - i), b k) =
        (∑ i in range K, a i * ((∑ k in range (K - i), b k) - ∑ k in range K, b k)) +
          ∑ i in range K, a i * ∑ k in range K, b k :=
      by rw [← sum_add_distrib]; simp [(mul_add _ _ _).symm]
    have two_mul_two : (4 : α) = 2 * 2 := by norm_num
    have hQ0 : Q ≠ 0 := fun h => by simp [h, lt_irrefl] at hQε0
    

Proof state:
α : Type u_1
β : Type u_2
inst✝² : LinearOrderedField α
abv : β → α
inst✝¹ : Ring β
inst✝ : IsAbsoluteValue abv
a b : ℕ → β
ha : IsCauSeq abs' fun m => ∑ n in range m, abv (a n)
hb : IsCauSeq abv fun m => ∑ n in range m, b n
ε : α
ε0 : 0 < ε
Q : α
hQ : ∀ (i : ℕ), abv (↑{ val := fun m => ∑ n in range m, b n, property := hb } i) < Q
P : α
hP : ∀ (i : ℕ), abs' (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } i) < P
hP0 : 0 < P
hPε0 : 0 < ε / (2 * P)
N : ℕ
hN :
  ∀ j ≥ N,
    ∀ k ≥ N,
      abv
          (↑{ val := fun m => ∑ n in range m, b n, property := hb } j -
            ↑{ val := fun m => ∑ n in range m, b n, property := hb } k) <
        ε / (2 * P)
hQε0 : 0 < ε / (4 * Q)
M : ℕ
hM :
  ∀ j ≥ M,
    ∀ k ≥ M,
      abs'
          (↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } j -
            ↑{ val := fun m => ∑ n in range m, abv (a n), property := ha } k) <
        ε / (4 * Q)
K : ℕ
hK : K ≥ 2 * (max N M + 1)
h₁ : ∑ m in range K, ∑ k in range (m + 1), a k * b (m - k) = ∑ m in range K, ∑ n in range (K - m), a m * b n
h₂ : (fun i => ∑ k in range (K - i), a i * b k) = fun i => a i * ∑ k in range (K - i), b k
h₃ :
  ∑ i in range K, a i * ∑ k in range (K - i), b k =
    ∑ i in range K, a i * (∑ k in range (K - i), b k - ∑ k in range K, b k) + ∑ i in range K, a i * ∑ k in range K, b k
two_mul_two : 4 = 2 * 2
hQ0 : Q ≠ 0
⊢ abv ((∑ k in range K, a k) * ∑ k in range K, b k - ∑ n in range K, ∑ m in range (n + 1), a m * b (n - m)) < ε

Next tactic:
have h2Q0 : 2 * Q ≠ 0 := mul_ne_zero two_ne_zero hQ0
theorem isCauSeq_abs_exp (z : ℂ) :
    IsCauSeq Abs.abs fun n => ∑ m in range n, abs (z ^ m / m.factorial) :=
  let ⟨n, hn⟩ := exists_nat_gt (abs z)
  have hn0 : (0 : ℝ) < n := lt_of_le_of_lt (abs.nonneg _) hn
  series_ratio_test n (abs z / n) (div_nonneg (abs.nonneg _) (le_of_lt hn0))
    (by 

Proof state:
z : ℂ
n : ℕ
hn : abs z < ↑n
hn0 : 0 < ↑n
⊢ abs z / ↑n < 1

Next tactic:
rwa [div_lt_iff hn0, one_mul]