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https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have E'volume : MeasureTheory.volume E' < ⊤ := lt_of_le_of_lt (MeasureTheory.measure_mono E'subset) Evolume
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x ⊢ MeasureTheory.volume.real E ≤ ε
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ ⊢ MeasureTheory.volume.real E ≤ ε
Please generate a tactic in lean4 to solve the state. STATE: case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x ⊢ MeasureTheory.volume.real E ≤ ε TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ (2 : ℝ)⁻¹) * (MeasureTheory.volume E') ^ (2 : ℝ)⁻¹ := by calc ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' _ = ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 * MeasureTheory.volume E' := by congr rw [← ENNReal.ofReal_ofNat, ← ENNReal.ofReal_div_of_pos (by norm_num)] ring_nf _ ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ (2 : ℝ)⁻¹) * (MeasureTheory.volume E') ^ (2 : ℝ)⁻¹ := by rcases h with hE' | hE' <;> . apply rcarleson_exceptional_set_estimate_specific hδ _ measurableSetE' hE' intro x rw [fdef, ← Fdef] simp (config := { failIfUnchanged := false }) only [RCLike.star_def, Function.comp_apply, map_mul, norm_mul, RingHomIsometric.is_iso] rw [norm_indicator_eq_indicator_norm] simp only [norm_eq_abs, Pi.one_apply, norm_one] rw [Set.indicator_apply, Set.indicator_apply] split_ifs with inF . simp exact h_bound x inF . simp
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ ⊢ MeasureTheory.volume.real E ≤ ε
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε
Please generate a tactic in lean4 to solve the state. STATE: case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ ⊢ MeasureTheory.volume.real E ≤ ε TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ (2 : ℝ)⁻¹ := by apply mul_pos apply mul_pos hδ (by rw [C1_2]; norm_num) apply Real.rpow_pos_of_pos linarith [Real.two_pi_pos]
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε
Please generate a tactic in lean4 to solve the state. STATE: case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have ε'_δ_expression_pos : 0 < Real.pi * (ε' - Real.pi * δ) := by rw [ε'def, C_control_approximation_effect_eq hε.1.le, add_sub_cancel_right, mul_div_cancel₀ _ Real.pi_pos.ne.symm] apply mul_pos δ_mul_const_pos apply Real.rpow_pos_of_pos apply div_pos (by norm_num) hε.1
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ε'_δ_expression_pos : 0 < Real.pi * (ε' - Real.pi * δ) ⊢ MeasureTheory.volume.real E ≤ ε
Please generate a tactic in lean4 to solve the state. STATE: case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ⊢ MeasureTheory.volume.real E ≤ ε TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
calc MeasureTheory.volume.real E _ ≤ 2 * MeasureTheory.volume.real E' := by rwa [MeasureTheory.measureReal_def, MeasureTheory.measureReal_def, ←@ENNReal.toReal_ofReal 2 (by norm_num), ←ENNReal.toReal_mul, ENNReal.toReal_le_toReal Evolume.ne, ENNReal.ofReal_ofNat] apply ENNReal.mul_ne_top ENNReal.ofReal_ne_top E'volume.ne _ = 2 * MeasureTheory.volume.real E' ^ ((1 + -(2 : ℝ)⁻¹) * 2) := by conv => lhs; rw [←Real.rpow_one (MeasureTheory.volume.real E')] congr norm_num _ ≤ 2 * (δ * C1_2 4 2 * (4 * Real.pi) ^ (2 : ℝ)⁻¹ / (Real.pi * (ε' - Real.pi * δ))) ^ (2 : ℝ) := by gcongr rw [Real.rpow_mul MeasureTheory.measureReal_nonneg] gcongr rw [Real.rpow_add' MeasureTheory.measureReal_nonneg (by norm_num), Real.rpow_one, le_div_iff' ε'_δ_expression_pos, ← mul_assoc] apply mul_le_of_nonneg_of_le_div δ_mul_const_pos.le apply Real.rpow_nonneg MeasureTheory.measureReal_nonneg rw[Real.rpow_neg MeasureTheory.measureReal_nonneg, div_inv_eq_mul] rw [← ENNReal.ofReal_le_ofReal_iff, ENNReal.ofReal_mul ε'_δ_expression_pos.le, MeasureTheory.measureReal_def, ENNReal.ofReal_toReal E'volume.ne] apply le_trans this rw [ENNReal.ofReal_mul δ_mul_const_pos.le, ← ENNReal.ofReal_rpow_of_nonneg ENNReal.toReal_nonneg (by norm_num), ENNReal.ofReal_toReal E'volume.ne] apply mul_nonneg δ_mul_const_pos.le apply Real.rpow_nonneg MeasureTheory.measureReal_nonneg _ = ε := by rw [ε'def, C_control_approximation_effect_eq hε.1.le, add_sub_cancel_right, mul_div_cancel₀, div_mul_eq_div_div, div_self, one_div, Real.inv_rpow, ← Real.rpow_mul, inv_mul_cancel, Real.rpow_one, inv_div] ring norm_num apply div_nonneg <;> linarith [hε.1] apply Real.rpow_nonneg apply div_nonneg <;> linarith [hε.1] exact δ_mul_const_pos.ne.symm exact Real.pi_pos.ne.symm
case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ε'_δ_expression_pos : 0 < Real.pi * (ε' - Real.pi * δ) ⊢ MeasureTheory.volume.real E ≤ ε
no goals
Please generate a tactic in lean4 to solve the state. STATE: case right.right.intro.intro.intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h✝ : ℝ → ℂ h_measurable : Measurable h✝ h_periodic : Function.Periodic h✝ (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h✝ N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h✝ N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h✝ MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h✝ x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h✝ x * F.indicator 1 x fdef : f = fun x => h✝ x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) le_operator_add : ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x Evolume : MeasureTheory.volume E < ⊤ E' : Set ℝ E'subset : E' ⊆ E measurableSetE' : MeasurableSet E' E'measure : MeasureTheory.volume E ≤ 2 * MeasureTheory.volume E' h : (∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' f x) ∨ ∀ x ∈ E', ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) / 2 ≤ T' (star ∘ f) x E'volume : MeasureTheory.volume E' < ⊤ this : ENNReal.ofReal (Real.pi * (ε' - Real.pi * δ)) * MeasureTheory.volume E' ≤ ENNReal.ofReal (δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) * MeasureTheory.volume E' ^ 2⁻¹ δ_mul_const_pos : 0 < δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ ε'_δ_expression_pos : 0 < Real.pi * (ε' - Real.pi * δ) ⊢ MeasureTheory.volume.real E ≤ ε TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Edef]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
ext x
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}
case h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} x : ℝ ⊢ x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ↔ x ∈ Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp
case h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} x : ℝ ⊢ x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ↔ x ∈ Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} x : ℝ ⊢ x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ↔ x ∈ Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [E_eq]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet E
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet E TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply MeasurableSet.inter
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
case h₁ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi)) case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖}) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. apply measurableSet_Icc
case h₁ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi)) case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
Please generate a tactic in lean4 to solve the state. STATE: case h₁ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi)) case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖}) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply MeasurableSet.iUnion
case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖})
case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ ∀ (b : ℕ), MeasurableSet {x | ε' < ‖partialFourierSum h b x‖}
Please generate a tactic in lean4 to solve the state. STATE: case h₂ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (⋃ N, {x | ε' < ‖partialFourierSum h N x‖}) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro N
case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ ∀ (b : ℕ), MeasurableSet {x | ε' < ‖partialFourierSum h b x‖}
case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ MeasurableSet {x | ε' < ‖partialFourierSum h N x‖}
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ ∀ (b : ℕ), MeasurableSet {x | ε' < ‖partialFourierSum h b x‖} TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply measurableSet_lt
case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ MeasurableSet {x | ε' < ‖partialFourierSum h N x‖}
case h₂.h.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ε' case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ MeasurableSet {x | ε' < ‖partialFourierSum h N x‖} TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. apply measurable_const
case h₂.h.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ε' case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖
case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ε' case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Measurable.norm
case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖
case h₂.h.hg.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => partialFourierSum h N a
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h.hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ‖partialFourierSum h N a‖ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply partialFourierSum_uniformContinuous.continuous.measurable
case h₂.h.hg.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => partialFourierSum h N a
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h.hg.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => partialFourierSum h N a TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply measurableSet_Icc
case h₁ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi))
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h₁ ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} ⊢ MeasurableSet (Set.Icc 0 (2 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply measurable_const
case h₂.h.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ε'
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h₂.h.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} N : ℕ ⊢ Measurable fun a => ε' TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro x hx
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ E ⊆ Set.Icc 0 (2 * Real.pi)
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ E ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ E ⊆ Set.Icc 0 (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Edef] at hx
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ E ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ E ⊢ x ∈ Set.Icc 0 (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp at hx
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : (0 ≤ x ∧ x ≤ 2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x) ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} ⊢ x ∈ Set.Icc 0 (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
exact hx.1
case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : (0 ≤ x ∧ x ≤ 2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x) ⊢ x ∈ Set.Icc 0 (2 * Real.pi)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case h.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : (0 ≤ x ∧ x ≤ 2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x) ⊢ x ∈ Set.Icc 0 (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Edef]
case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ x ∈ Set.Icc 0 (2 * Real.pi) \ E, ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε'
case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ x ∈ Set.Icc 0 (2 * Real.pi) \ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)}, ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε'
Please generate a tactic in lean4 to solve the state. STATE: case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ x ∈ Set.Icc 0 (2 * Real.pi) \ E, ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε' TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp
case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ x ∈ Set.Icc 0 (2 * Real.pi) \ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)}, ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε'
case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ℝ), 0 ≤ x → x ≤ 2 * Real.pi → (0 ≤ x → x ≤ 2 * Real.pi → ∀ (x_1 : ℕ), Complex.abs (partialFourierSum h x_1 x) ≤ ε') → ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε'
Please generate a tactic in lean4 to solve the state. STATE: case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ x ∈ Set.Icc 0 (2 * Real.pi) \ {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)}, ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε' TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
exact fun x x_nonneg x_le_two_pi h ↦ h x_nonneg x_le_two_pi
case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ℝ), 0 ≤ x → x ≤ 2 * Real.pi → (0 ≤ x → x ≤ 2 * Real.pi → ∀ (x_1 : ℕ), Complex.abs (partialFourierSum h x_1 x) ≤ ε') → ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε'
no goals
Please generate a tactic in lean4 to solve the state. STATE: case right.left ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ℝ), 0 ≤ x → x ≤ 2 * Real.pi → (0 ≤ x → x ≤ 2 * Real.pi → ∀ (x_1 : ℕ), Complex.abs (partialFourierSum h x_1 x) ≤ ε') → ∀ (N : ℕ), Complex.abs (partialFourierSum h N x) ≤ ε' TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply @IntervalIntegrable.mono_fun' _ _ _ _ _ _ (fun _ ↦ δ)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi)
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ IntervalIntegrable (fun x => δ) MeasureTheory.volume (-Real.pi) (3 * Real.pi) case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply intervalIntegrable_const
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ IntervalIntegrable (fun x => δ) MeasureTheory.volume (-Real.pi) (3 * Real.pi) case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
Please generate a tactic in lean4 to solve the state. STATE: case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ IntervalIntegrable (fun x => δ) MeasureTheory.volume (-Real.pi) (3 * Real.pi) case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
exact h_measurable.aestronglyMeasurable
case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
Please generate a tactic in lean4 to solve the state. STATE: case hfm ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasureTheory.AEStronglyMeasurable h (MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))) case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Filter.EventuallyLE, ae_restrict_iff_subtype]
case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ
case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ᵐ (x : ↑(Ι (-Real.pi) (3 * Real.pi))) ∂MeasureTheory.Measure.comap Subtype.val MeasureTheory.volume, ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ (fun x => ‖h x‖) ≤ᵐ[MeasureTheory.volume.restrict (Ι (-Real.pi) (3 * Real.pi))] fun x => δ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Filter.eventually_of_forall
case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ᵐ (x : ↑(Ι (-Real.pi) (3 * Real.pi))) ∂MeasureTheory.Measure.comap Subtype.val MeasureTheory.volume, ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ↑(Ι (-Real.pi) (3 * Real.pi))), ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ᵐ (x : ↑(Ι (-Real.pi) (3 * Real.pi))) ∂MeasureTheory.Measure.comap Subtype.val MeasureTheory.volume, ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp only [norm_eq_abs, Subtype.forall]
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ↑(Ι (-Real.pi) (3 * Real.pi))), ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ a ∈ Ι (-Real.pi) (3 * Real.pi), Complex.abs (h a) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ (x : ↑(Ι (-Real.pi) (3 * Real.pi))), ‖h ↑x‖ ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro x hx
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ a ∈ Ι (-Real.pi) (3 * Real.pi), Complex.abs (h a) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ Complex.abs (h x) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ ∀ a ∈ Ι (-Real.pi) (3 * Real.pi), Complex.abs (h a) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply h_bound x
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ Complex.abs (h x) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Icc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ Complex.abs (h x) ≤ δ case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Set.Ioc_subset_Icc_self
case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Icc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Icc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Set.uIoc_of_le (by linarith)] at hx
case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
constructor <;> linarith [hx.1, hx.2]
case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case hle.hp.a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) ⊢ x ∈ Set.Ioc (-Real.pi) (3 * Real.pi) case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply measurableSet_uIoc
case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi))
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hle.hs ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E ⊢ MeasurableSet (Ι (-Real.pi) (3 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
linarith
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ -Real.pi ≤ 3 * Real.pi
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) h_bound : ∀ x ∈ Set.Icc (-Real.pi) (3 * Real.pi), Complex.abs (h x) ≤ δ ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E x : ℝ hx : x ∈ Ι (-Real.pi) (3 * Real.pi) ⊢ -Real.pi ≤ 3 * Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Measurable.mul h_measurable
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x ⊢ Measurable f
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x ⊢ Measurable fun a => F.indicator 1 a
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x ⊢ Measurable f TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Measurable.indicator measurable_const measurableSet_Icc
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x ⊢ Measurable fun a => F.indicator 1 a
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x ⊢ Measurable fun a => F.indicator 1 a TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [fdef, intervalIntegrable_iff_integrableOn_Ioo_of_le (by linarith [Real.pi_pos])]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => h x * F.indicator 1 x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
conv => pattern (h _) * _; rw [mul_comm]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => h x * F.indicator 1 x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => F.indicator 1 x * h x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => h x * F.indicator 1 x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply MeasureTheory.Integrable.bdd_mul'
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => F.indicator 1 x * h x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.Integrable (fun x => h x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.IntegrableOn (fun x => F.indicator 1 x * h x) (Set.Ioo (-Real.pi) (3 * Real.pi)) MeasureTheory.volume TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rwa [← MeasureTheory.IntegrableOn, ← intervalIntegrable_iff_integrableOn_Ioo_of_le (by linarith [Real.pi_pos])]
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.Integrable (fun x => h x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.Integrable (fun x => h x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Measurable.aestronglyMeasurable
case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ Measurable fun x => F.indicator 1 x case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ MeasureTheory.AEStronglyMeasurable (fun x => F.indicator 1 x) (MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi))) case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Measurable.indicator measurable_const measurableSet_Icc
case hf.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ Measurable fun x => F.indicator 1 x case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf.hf ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ Measurable fun x => F.indicator 1 x case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Filter.eventually_of_forall
case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ (x : ℝ), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf_bound ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ᵐ (x : ℝ) ∂MeasureTheory.volume.restrict (Set.Ioo (-Real.pi) (3 * Real.pi)), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro x
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ (x : ℝ), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ∀ (x : ℝ), ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [norm_indicator_eq_indicator_norm]
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => ‖1 a‖) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ ‖F.indicator 1 x‖ ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => ‖1 a‖) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => 1) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
Please generate a tactic in lean4 to solve the state. STATE: case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => ‖1 a‖) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
calc F.indicator (fun _ ↦ (1 : ℝ)) x _ ≤ 1 := by apply Set.indicator_apply_le' intro _ rfl intro _ norm_num
case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => 1) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hf_bound.hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun a => 1) x ≤ ?c case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ case c ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ ℝ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
linarith [Real.pi_pos]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ -Real.pi ≤ 3 * Real.pi
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f ⊢ -Real.pi ≤ 3 * Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Set.indicator_apply_le'
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun x => 1) x ≤ 1
case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∈ F → 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ F.indicator (fun x => 1) x ≤ 1 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro _
case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∈ F → 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∈ F ⊢ 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
Please generate a tactic in lean4 to solve the state. STATE: case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∈ F → 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rfl
case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∈ F ⊢ 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
Please generate a tactic in lean4 to solve the state. STATE: case hfg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∈ F ⊢ 1 ≤ 1 case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro _
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∉ F ⊢ 0 ≤ 1
Please generate a tactic in lean4 to solve the state. STATE: case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ ⊢ x ∉ F → 0 ≤ 1 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
norm_num
case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∉ F ⊢ 0 ≤ 1
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hg ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f x : ℝ a✝ : x ∉ F ⊢ 0 ≤ 1 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) := by apply h_intervalIntegrable.mono_set rw [Set.uIcc_of_le (by linarith [Real.pi_pos]), Set.uIcc_of_le (by linarith [Real.pi_pos])] intro y hy constructor <;> linarith [hy.1, hy.2]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) ⊢ ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro x hx
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) ⊢ ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ hx : x ∈ E ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) ⊢ ∀ x ∈ E, ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
obtain ⟨xIcc, N, hN⟩ := hx
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ hx : x ∈ E ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (partialFourierSum h N x) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ hx : x ∈ E ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [partialFourierSum_eq_conv_dirichletKernel' h_intervalIntegrable'] at hN
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (partialFourierSum h N x) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
Please generate a tactic in lean4 to solve the state. STATE: case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (partialFourierSum h N x) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
have : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ := ENNReal.ofReal_ne_top
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
Please generate a tactic in lean4 to solve the state. STATE: case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [← (ENNReal.add_le_add_iff_right this)]
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi))
Please generate a tactic in lean4 to solve the state. STATE: case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
calc ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) _ = ENNReal.ofReal ((2 * Real.pi) * ε') := by rw [← ENNReal.ofReal_add] . congr ring . apply mul_nonneg _ Real.two_pi_pos.le rw [ε'def, C_control_approximation_effect_eq hε.1.le, add_sub_cancel_right] apply div_nonneg _ Real.pi_pos.le apply mul_nonneg . rw [mul_assoc] apply mul_nonneg hδ.le rw [C1_2] apply mul_nonneg (by norm_num) apply Real.rpow_nonneg linarith [Real.pi_pos] . apply Real.rpow_nonneg (div_nonneg (by norm_num) hε.1.le) . apply mul_nonneg (mul_nonneg Real.pi_pos.le hδ.le) Real.two_pi_pos.le _ ≤ ENNReal.ofReal ((2 * Real.pi) * abs (1 / (2 * Real.pi) * ∫ (y : ℝ) in (0 : ℝ)..(2 * Real.pi), h y * dirichletKernel' N (x - y))) := by gcongr _ = ‖∫ (y : ℝ) in (0 : ℝ)..(2 * Real.pi), h y * dirichletKernel' N (x - y)‖₊ := by rw [map_mul, map_div₀, ←mul_assoc] rw [ENNReal.ofReal, ← norm_toNNReal] congr conv => rhs; rw [← one_mul ‖_‖] congr simp rw [_root_.abs_of_nonneg Real.pi_pos.le] field_simp ring _ = ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * dirichletKernel' N (x - y)‖₊ := by congr 2 rw [← zero_add (2 * Real.pi), Function.Periodic.intervalIntegral_add_eq _ 0 (x - Real.pi)] congr 1 ring apply Function.Periodic.mul h_periodic apply Function.Periodic.const_sub dirichletKernel'_periodic _ = ‖ (∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)) + (∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (min |x - y| 1) * dirichletKernel' N (x - y)) ‖₊ := by congr rw [← intervalIntegral.integral_add] . congr ext y rw [←add_mul, ←mul_add] congr conv => lhs; rw [←mul_one (h y)] congr norm_cast rw [min_def] split_ifs . rw [max_eq_left (by linarith)] simp . rw [max_eq_right (by linarith)] simp rw [intervalIntegrable_iff_integrableOn_Icc_of_le (by linarith [Real.pi_pos])] apply integrableOn_mul_dirichletKernel'_max xIcc h_intervalIntegrable rw [intervalIntegrable_iff_integrableOn_Icc_of_le (by linarith [Real.pi_pos])] apply integrableOn_mul_dirichletKernel'_min xIcc h_intervalIntegrable _ ≤ ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)‖₊ + ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (min |x - y| 1) * dirichletKernel' N (x - y)‖₊ := by norm_cast apply nnnorm_add_le _ ≤ (T' f x + T' ((starRingEnd ℂ) ∘ f) x) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) := by gcongr . calc ENNReal.ofNNReal ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)‖₊ _ = ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), f y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)‖₊ := by congr 2 apply intervalIntegral.integral_congr intro y hy simp rw [Set.uIcc_of_le (by linarith)] at hy left left rw [fdef, ←mul_one (h y)] congr rw [Set.indicator_apply] have : y ∈ F := by rw [Fdef] simp constructor <;> linarith [xIcc.1, xIcc.2, hy.1, hy.2] simp [this] _ = ‖∫ (y : ℝ) in {y | dist x y ∈ Set.Ioo 0 Real.pi}, f y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)‖₊ := by congr rw [annulus_real_eq (le_refl 0), MeasureTheory.integral_union (by simp), ← MeasureTheory.integral_Ioc_eq_integral_Ioo, ← MeasureTheory.integral_union, intervalIntegral.integral_of_le (by linarith), MeasureTheory.integral_Ioc_eq_integral_Ioo] congr simp rw [Set.Ioc_union_Ioo_eq_Ioo (by linarith) (by linarith)] . simp apply Set.disjoint_of_subset_right Set.Ioo_subset_Ioc_self simp . exact measurableSet_Ioo . apply (integrableOn_mul_dirichletKernel'_max xIcc f_integrable).mono_set intro y hy constructor <;> linarith [hy.1, hy.2, Real.pi_pos] . apply (integrableOn_mul_dirichletKernel'_max xIcc f_integrable).mono_set intro y hy constructor <;> linarith [hy.1, hy.2, Real.pi_pos] . exact measurableSet_Ioo . apply (integrableOn_mul_dirichletKernel'_max xIcc f_integrable).mono_set intro y hy constructor <;> linarith [hy.1, hy.2, Real.pi_pos] . apply (integrableOn_mul_dirichletKernel'_max xIcc f_integrable).mono_set intro y hy constructor <;> linarith [hy.1, hy.2, Real.pi_pos] _ = ‖∫ (y : ℝ) in {y | dist x y ∈ Set.Ioo 0 1}, f y * (max (1 - |x - y|) 0) * dirichletKernel' N (x - y)‖₊ := by congr 2 rw [←MeasureTheory.integral_indicator annulus_measurableSet, ←MeasureTheory.integral_indicator annulus_measurableSet] congr ext y rw [Set.indicator_apply, Set.indicator_apply, mul_assoc, dirichlet_Hilbert_eq, K] split_ifs with h₀ h₁ h₂ . trivial . dsimp at h₀ dsimp at h₁ rw [Real.dist_eq, Set.mem_Ioo] at h₀ rw [Real.dist_eq, Set.mem_Ioo] at h₁ push_neg at h₁ rw [k_of_one_le_abs (h₁ h₀.1)] simp . rw [k_of_one_le_abs] simp dsimp at h₀ dsimp at h₂ rw [Real.dist_eq, Set.mem_Ioo] at h₀ rw [Real.dist_eq, Set.mem_Ioo] at h₂ push_neg at h₀ apply le_trans' (h₀ h₂.1) linarith [Real.two_le_pi] . trivial _ ≤ (T' f x + T' ((starRingEnd ℂ) ∘ f) x) := by apply le_CarlesonOperatorReal' f_integrable x xIcc . rw [ENNReal.ofReal] norm_cast apply NNReal.le_toNNReal_of_coe_le rw [coe_nnnorm] calc ‖∫ (y : ℝ) in (x - Real.pi)..(x + Real.pi), h y * (min |x - y| 1) * dirichletKernel' N (x - y)‖ _ ≤ (δ * Real.pi) * |(x + Real.pi) - (x - Real.pi)| := by apply intervalIntegral.norm_integral_le_of_norm_le_const intro y hy rw [Set.uIoc_of_le (by linarith)] at hy rw [mul_assoc, norm_mul] gcongr . rw [norm_eq_abs] apply h_bound rw [Fdef] simp constructor <;> linarith [xIcc.1, xIcc.2, hy.1, hy.2] rw [dirichletKernel', mul_add] set z := x - y with zdef calc ‖ (min |z| 1) * (exp (I * N * z) / (1 - exp (-I * z))) + (min |z| 1) * (exp (-I * N * z) / (1 - exp (I * z)))‖ _ ≤ ‖(min |z| 1) * (exp (I * N * z) / (1 - exp (-I * z)))‖ + ‖(min |z| 1) * (exp (-I * N * z) / (1 - exp (I * z)))‖ := by apply norm_add_le _ = min |z| 1 * 1 / ‖1 - exp (I * z)‖ + min |z| 1 * 1 / ‖1 - exp (I * z)‖ := by simp congr . simp only [abs_eq_self, le_min_iff, abs_nonneg, zero_le_one, and_self] . rw [mul_assoc I, mul_comm I] norm_cast rw [abs_exp_ofReal_mul_I, one_div, ←abs_conj, map_sub, map_one, ←exp_conj, ← neg_mul, map_mul, conj_neg_I, conj_ofReal] . simp only [abs_eq_self, le_min_iff, abs_nonneg, zero_le_one, and_self] . rw [mul_assoc I, mul_comm I, ←neg_mul] norm_cast rw [abs_exp_ofReal_mul_I, one_div] _ = 2 * (min |z| 1 / ‖1 - exp (I * z)‖) := by ring _ ≤ 2 * (Real.pi / 2) := by gcongr 2 * ?_ . by_cases h : (1 - exp (I * z)) = 0 . rw [h, norm_zero, div_zero] linarith [Real.pi_pos] rw [div_le_iff', ←div_le_iff, div_div_eq_mul_div, mul_div_assoc, mul_comm] apply lower_secant_bound' . apply min_le_left . have : |z| ≤ Real.pi := by rw [abs_le] rw [zdef] constructor <;> linarith [hy.1, hy.2] rw [min_def] split_ifs <;> linarith . linarith [Real.pi_pos] . rwa [norm_pos_iff] _ = Real.pi := by ring _ = Real.pi * δ * (2 * Real.pi) := by simp rw [←two_mul, _root_.abs_of_nonneg Real.two_pi_pos.le] ring
case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi))
no goals
Please generate a tactic in lean4 to solve the state. STATE: case intro.intro ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≤ T' f x + T' (⇑(starRingEnd ℂ) ∘ f) x + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply h_intervalIntegrable.mono_set
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.uIcc 0 (2 * Real.pi) ⊆ Set.uIcc (-Real.pi) (3 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [Set.uIcc_of_le (by linarith [Real.pi_pos]), Set.uIcc_of_le (by linarith [Real.pi_pos])]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.uIcc 0 (2 * Real.pi) ⊆ Set.uIcc (-Real.pi) (3 * Real.pi)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.Icc 0 (2 * Real.pi) ⊆ Set.Icc (-Real.pi) (3 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.uIcc 0 (2 * Real.pi) ⊆ Set.uIcc (-Real.pi) (3 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
intro y hy
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.Icc 0 (2 * Real.pi) ⊆ Set.Icc (-Real.pi) (3 * Real.pi)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) y : ℝ hy : y ∈ Set.Icc 0 (2 * Real.pi) ⊢ y ∈ Set.Icc (-Real.pi) (3 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ Set.Icc 0 (2 * Real.pi) ⊆ Set.Icc (-Real.pi) (3 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
constructor <;> linarith [hy.1, hy.2]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) y : ℝ hy : y ∈ Set.Icc 0 (2 * Real.pi) ⊢ y ∈ Set.Icc (-Real.pi) (3 * Real.pi)
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) y : ℝ hy : y ∈ Set.Icc 0 (2 * Real.pi) ⊢ y ∈ Set.Icc (-Real.pi) (3 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
linarith [Real.pi_pos]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ 0 ≤ 2 * Real.pi
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ 0 ≤ 2 * Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
linarith [Real.pi_pos]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ -Real.pi ≤ 3 * Real.pi
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) ⊢ -Real.pi ≤ 3 * Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [← ENNReal.ofReal_add]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε')
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε') case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi)) + ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε') TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. congr ring
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε') case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε') case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. apply mul_nonneg _ Real.two_pi_pos.le rw [ε'def, C_control_approximation_effect_eq hε.1.le, add_sub_cancel_right] apply div_nonneg _ Real.pi_pos.le apply mul_nonneg . rw [mul_assoc] apply mul_nonneg hδ.le rw [C1_2] apply mul_nonneg (by norm_num) apply Real.rpow_nonneg linarith [Real.pi_pos] . apply Real.rpow_nonneg (div_nonneg (by norm_num) hε.1.le)
case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
Please generate a tactic in lean4 to solve the state. STATE: case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. apply mul_nonneg (mul_nonneg Real.pi_pos.le hδ.le) Real.two_pi_pos.le
case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
congr
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε')
case e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ (ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi) = 2 * Real.pi * ε'
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal ((ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi)) = ENNReal.ofReal (2 * Real.pi * ε') TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
ring
case e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ (ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi) = 2 * Real.pi * ε'
no goals
Please generate a tactic in lean4 to solve the state. STATE: case e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ (ε' - Real.pi * δ) * (2 * Real.pi) + Real.pi * δ * (2 * Real.pi) = 2 * Real.pi * ε' TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply mul_nonneg _ Real.two_pi_pos.le
case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi)
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ ε' - Real.pi * δ
Please generate a tactic in lean4 to solve the state. STATE: case hp ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (ε' - Real.pi * δ) * (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [ε'def, C_control_approximation_effect_eq hε.1.le, add_sub_cancel_right]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ ε' - Real.pi * δ
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹ / Real.pi
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ ε' - Real.pi * δ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply div_nonneg _ Real.pi_pos.le
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹ / Real.pi
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹ / Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply mul_nonneg
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ * (2 / ε) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. rw [mul_assoc] apply mul_nonneg hδ.le rw [C1_2] apply mul_nonneg (by norm_num) apply Real.rpow_nonneg linarith [Real.pi_pos]
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹
case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
. apply Real.rpow_nonneg (div_nonneg (by norm_num) hε.1.le)
case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [mul_assoc]
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * (C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹)
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply mul_nonneg hδ.le
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * (C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹)
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ δ * (C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [C1_2]
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 ^ (450 * 4 ^ 3) / (2 - 1) ^ 5 * (4 * Real.pi) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ C1_2 4 2 * (4 * Real.pi) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply mul_nonneg (by norm_num)
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 ^ (450 * 4 ^ 3) / (2 - 1) ^ 5 * (4 * Real.pi) ^ 2⁻¹
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (4 * Real.pi) ^ 2⁻¹
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 ^ (450 * 4 ^ 3) / (2 - 1) ^ 5 * (4 * Real.pi) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Real.rpow_nonneg
case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (4 * Real.pi) ^ 2⁻¹
case ha.hx ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 4 * Real.pi
Please generate a tactic in lean4 to solve the state. STATE: case ha ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (4 * Real.pi) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
linarith [Real.pi_pos]
case ha.hx ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 4 * Real.pi
no goals
Please generate a tactic in lean4 to solve the state. STATE: case ha.hx ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 4 * Real.pi TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
norm_num
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 ^ (450 * 4 ^ 3) / (2 - 1) ^ 5
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 ^ (450 * 4 ^ 3) / (2 - 1) ^ 5 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply Real.rpow_nonneg (div_nonneg (by norm_num) hε.1.le)
case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hb ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ (2 / ε) ^ 2⁻¹ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
norm_num
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ 2 TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
apply mul_nonneg (mul_nonneg Real.pi_pos.le hδ.le) Real.two_pi_pos.le
case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi)
no goals
Please generate a tactic in lean4 to solve the state. STATE: case hq ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 0 ≤ Real.pi * δ * (2 * Real.pi) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
gcongr
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * ε') ≤ ENNReal.ofReal (2 * Real.pi * Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)))
no goals
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * ε') ≤ ENNReal.ofReal (2 * Real.pi * Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [map_mul, map_div₀, ←mul_assoc]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖₊
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖₊
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖₊ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
rw [ENNReal.ofReal, ← norm_toNNReal]
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖₊
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ↑(2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))).toNNReal = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖.toNNReal
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ENNReal.ofReal (2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))) = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖₊ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
congr
ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ↑(2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))).toNNReal = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖.toNNReal
case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖
Please generate a tactic in lean4 to solve the state. STATE: ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ ↑(2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y))).toNNReal = ↑‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖.toNNReal TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
conv => rhs; rw [← one_mul ‖_‖]
case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖
case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = 1 * ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖
Please generate a tactic in lean4 to solve the state. STATE: case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
congr
case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = 1 * ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖
case e_a.e_r.e_a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) = 1
Please generate a tactic in lean4 to solve the state. STATE: case e_a.e_r ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) * Complex.abs (∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) = 1 * ‖∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)‖ TACTIC:
https://github.com/fpvandoorn/carleson.git
6d448ddfa1ff78506367ab09a8caac5351011ead
Carleson/Theorem1_1/Control_Approximation_Effect.lean
control_approximation_effect'
[441, 1]
[802, 32]
simp
case e_a.e_r.e_a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) = 1
case e_a.e_r.e_a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (|Real.pi|⁻¹ * 2⁻¹) = 1
Please generate a tactic in lean4 to solve the state. STATE: case e_a.e_r.e_a ε : ℝ hε : 0 < ε ∧ ε ≤ 2 * Real.pi δ : ℝ hδ : 0 < δ h : ℝ → ℂ h_measurable : Measurable h h_periodic : Function.Periodic h (2 * Real.pi) ε' : ℝ := C_control_approximation_effect ε * δ ε'def : ε' = C_control_approximation_effect ε * δ E : Set ℝ := {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} Edef : E = {x | x ∈ Set.Icc 0 (2 * Real.pi) ∧ ∃ N, ε' < Complex.abs (partialFourierSum h N x)} E_eq : E = Set.Icc 0 (2 * Real.pi) ∩ ⋃ N, {x | ε' < ‖partialFourierSum h N x‖} measurableSetE : MeasurableSet E h_intervalIntegrable : IntervalIntegrable h MeasureTheory.volume (-Real.pi) (3 * Real.pi) F : Set ℝ := Set.Icc (-Real.pi) (3 * Real.pi) h_bound : ∀ x ∈ F, Complex.abs (h x) ≤ δ Fdef : F = Set.Icc (-Real.pi) (3 * Real.pi) f : ℝ → ℂ := fun x => h x * F.indicator 1 x fdef : f = fun x => h x * F.indicator 1 x f_measurable : Measurable f f_integrable : IntervalIntegrable f MeasureTheory.volume (-Real.pi) (3 * Real.pi) h_intervalIntegrable' : IntervalIntegrable h MeasureTheory.volume 0 (2 * Real.pi) x : ℝ xIcc : x ∈ Set.Icc 0 (2 * Real.pi) N : ℕ hN : ε' < Complex.abs (1 / (2 * ↑Real.pi) * ∫ (y : ℝ) in 0 ..2 * Real.pi, h y * dirichletKernel' N (x - y)) this : ENNReal.ofReal (Real.pi * δ * (2 * Real.pi)) ≠ ⊤ ⊢ 2 * Real.pi * (Complex.abs 1 / Complex.abs (2 * ↑Real.pi)) = 1 TACTIC: