l3lab/ntp-mathlib huggingface dataset:
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      

Proof state:
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
⊢ ∑' (n : ℕ), ENNReal.ofReal (B n) = ENNReal.ofReal (∑' (b : ℕ), B b)

Next tactic:
exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    

Proof state:
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
h_tsum_B1 : ∑' (i : ℕ), B1 i = ENNReal.ofReal M
⊢ HasSum B1 (ENNReal.ofReal M)

Next tactic:
have h_sum := (@ENNReal.summable _ B1).hasSum
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    

Proof state:
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
h_tsum_B1 : ∑' (i : ℕ), B1 i = ENNReal.ofReal M
h_sum : HasSum B1 (∑' (b : ℕ), B1 b)
⊢ HasSum B1 (ENNReal.ofReal M)

Next tactic:
rwa [h_tsum_B1] at h_sum
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  

Proof state:
case intro
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
⊢ ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (↑↑(f n) - f_lim) p μ) atTop (𝓝 0)

Next tactic:
have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    exact ENNReal.ofReal_lt_top
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    

Proof state:
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
⊢ ∑' (i : ℕ), B1 i < ⊤

Next tactic:
rw [hB1_has.tsum_eq]
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    

Proof state:
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
⊢ ENNReal.ofReal M < ⊤

Next tactic:
exact ENNReal.ofReal_lt_top
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    exact ENNReal.ofReal_lt_top
  

Proof state:
case intro
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
hB1 : ∑' (i : ℕ), B1 i < ⊤
⊢ ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (↑↑(f n) - f_lim) p μ) atTop (𝓝 0)

Next tactic:
let f1 : ℕ → α → E := fun n => f n
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    exact ENNReal.ofReal_lt_top
  let f1 : ℕ → α → E := fun n => f n
  

Proof state:
case intro
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
hB1 : ∑' (i : ℕ), B1 i < ⊤
f1 : ℕ → α → E := fun n => ↑↑(f n)
⊢ ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (↑↑(f n) - f_lim) p μ) atTop (𝓝 0)

Next tactic:
refine' H f1 (fun n => Lp.memℒp (f n)) B1 hB1 fun N n m hn hm => _
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    exact ENNReal.ofReal_lt_top
  let f1 : ℕ → α → E := fun n => f n
  refine' H f1 (fun n => Lp.memℒp (f n)) B1 hB1 fun N n m hn hm => _
  

Proof state:
case intro
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m✝ m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
hf : ∀ (N n m : ℕ), N ≤ n → N ≤ m → dist (f n) (f m) < B N
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
hB1 : ∑' (i : ℕ), B1 i < ⊤
f1 : ℕ → α → E := fun n => ↑↑(f n)
N n m : ℕ
hn : N ≤ n
hm : N ≤ m
⊢ snorm (f1 n - f1 m) p μ < B1 N

Next tactic:
specialize hf N n m hn hm
theorem completeSpace_lp_of_cauchy_complete_ℒp [hp : Fact (1 ≤ p)]
    (H :
      ∀ (f : ℕ → α → E) (hf : ∀ n, Memℒp (f n) p μ) (B : ℕ → ℝ≥0∞) (hB : ∑' i, B i < ∞)
        (h_cau : ∀ N n m : ℕ, N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N),
        ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
          atTop.Tendsto (fun n => snorm (f n - f_lim) p μ) (𝓝 0)) :
    CompleteSpace (Lp E p μ) := by
  let B := fun n : ℕ => ((1 : ℝ) / 2) ^ n
  have hB_pos : ∀ n, 0 < B n := fun n => pow_pos (div_pos zero_lt_one zero_lt_two) n
  refine' Metric.complete_of_convergent_controlled_sequences B hB_pos fun f hf => _
  rsuffices ⟨f_lim, hf_lim_meas, h_tendsto⟩ :
    ∃ (f_lim : α → E), Memℒp f_lim p μ ∧
      atTop.Tendsto (fun n => snorm (⇑(f n) - f_lim) p μ) (𝓝 0)
  · exact ⟨hf_lim_meas.toLp f_lim, tendsto_Lp_of_tendsto_ℒp f_lim hf_lim_meas h_tendsto⟩
  obtain ⟨M, hB⟩ : Summable B := summable_geometric_two
  let B1 n := ENNReal.ofReal (B n)
  have hB1_has : HasSum B1 (ENNReal.ofReal M) := by
    have h_tsum_B1 : ∑' i, B1 i = ENNReal.ofReal M := by
      change (∑' n : ℕ, ENNReal.ofReal (B n)) = ENNReal.ofReal M
      rw [← hB.tsum_eq]
      exact (ENNReal.ofReal_tsum_of_nonneg (fun n => le_of_lt (hB_pos n)) hB.summable).symm
    have h_sum := (@ENNReal.summable _ B1).hasSum
    rwa [h_tsum_B1] at h_sum
  have hB1 : ∑' i, B1 i < ∞ := by
    rw [hB1_has.tsum_eq]
    exact ENNReal.ofReal_lt_top
  let f1 : ℕ → α → E := fun n => f n
  refine' H f1 (fun n => Lp.memℒp (f n)) B1 hB1 fun N n m hn hm => _
  specialize hf N n m hn hm
  

Proof state:
case intro
α : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
m✝ m0 : MeasurableSpace α
p : ℝ≥0∞
q : ℝ
μ ν : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : NormedAddCommGroup F
inst✝ : NormedAddCommGroup G
hp : Fact (1 ≤ p)
H :
  ∀ (f : ℕ → α → E),
    (∀ (n : ℕ), Memℒp (f n) p) →
      ∀ (B : ℕ → ℝ≥0∞),
        ∑' (i : ℕ), B i < ⊤ →
          (∀ (N n m : ℕ), N ≤ n → N ≤ m → snorm (f n - f m) p μ < B N) →
            ∃ f_lim, Memℒp f_lim p ∧ Tendsto (fun n => snorm (f n - f_lim) p μ) atTop (𝓝 0)
B : ℕ → ℝ := fun n => (1 / 2) ^ n
hB_pos : ∀ (n : ℕ), 0 < B n
f : ℕ → ↥(Lp E p)
M : ℝ
hB : HasSum B M
B1 : ℕ → ℝ≥0∞ := fun n => ENNReal.ofReal (B n)
hB1_has : HasSum B1 (ENNReal.ofReal M)
hB1 : ∑' (i : ℕ), B1 i < ⊤
f1 : ℕ → α → E := fun n => ↑↑(f n)
N n m : ℕ
hn : N ≤ n
hm : N ≤ m
hf : dist (f n) (f m) < B N
⊢ snorm (f1 n - f1 m) p μ < B1 N

Next tactic:
rw [dist_def] at hf