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

Goal state before:
pp: E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
⊢ ∀ {j : ℝ}, b < j → j < a → IntegrableOn (fun t ↦ t ^ (j - 1) * (|log t| * ‖f t‖)) (Ioi 0) volume

Tactic:
·

Goal state after:
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
⊢ ∀ {j : ℝ}, b < j → j < a → IntegrableOn (fun t ↦ t ^ (j - 1) * (|log t| * ‖f t‖)) (Ioi 0) volume
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case hx
x : ℝ
n : ℕ
⊢ ↑(n + 1) ≠ 0

pp: case hy
x : ℝ
n : ℕ
⊢ ↑n ! ≠ 0

pp: x : ℝ
n : ℕ
⊢ (x + 1) * log ↑n + log ↑n ! - ∑ m ∈ Finset.range (n + 1), log (x + 1 + ↑m) =
    x * log ↑(n + 1) + (log ↑(n + 1) + log ↑n !) - (∑ k ∈ Finset.range (n + 1), log (x + ↑(k + 1)) + log x) + log x -
      (x + 1) * (log (↑n + 1) - log ↑n)

Tactic:
·

Goal state after:
case hx
x : ℝ
n : ℕ
⊢ ↑(n + 1) ≠ 0
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case hy
x : ℝ
n : ℕ
⊢ ↑n ! ≠ 0

pp: x : ℝ
n : ℕ
⊢ (x + 1) * log ↑n + log ↑n ! - ∑ m ∈ Finset.range (n + 1), log (x + 1 + ↑m) =
    x * log ↑(n + 1) + (log ↑(n + 1) + log ↑n !) - (∑ k ∈ Finset.range (n + 1), log (x + ↑(k + 1)) + log x) + log x -
      (x + 1) * (log (↑n + 1) - log ↑n)

Tactic:
·

Goal state after:
case hy
x : ℝ
n : ℕ
⊢ ↑n ! ≠ 0
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
n : ℕ
⊢ n + 1 ≠ 0

Tactic:
by lia

Goal state after:
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ f 1 + (x * log ↑n + log ↑n !) = f ↑(n + 1) + x * log (↑(n + 1) - 1)

pp: case refine_2
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ 2 ≤ n + 1

Tactic:
·

Goal state after:
case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ f 1 + (x * log ↑n + log ↑n !) = f ↑(n + 1) + x * log (↑(n + 1) - 1)
Module: Mathlib.Analysis.SpecialFunctions.Gamma.Beta

Goal state before:
pp: case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
x : ℝ
hx : x ∈ Icc 0 1
⊢ ContinuousAt (fun x ↦ ↑x ^ u) x

pp: case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
x : ℝ
hx : x ∈ Icc 0 1
⊢ ContinuousAt (fun x ↦ (1 - ↑x) ^ v) x

Tactic:
·

Goal state after:
case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
x : ℝ
hx : x ∈ Icc 0 1
⊢ ContinuousAt (fun x ↦ ↑x ^ u) x
Module: Mathlib.Analysis.SpecialFunctions.Gamma.Beta

Goal state before:
pp: case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
x : ℝ
hx : x ∈ Icc 0 1
⊢ ContinuousAt (fun x ↦ (1 - ↑x) ^ v) x

Tactic:
·

Goal state after:
case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
x : ℝ
hx : x ∈ Icc 0 1
⊢ ContinuousAt (fun x ↦ (1 - ↑x) ^ v) x
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ f 1 + (x * log ↑n + log ↑n !) = f 1 + log ↑n ! + x * log ↑n

pp: case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ n + 1 ≠ 0

Tactic:
·

Goal state after:
case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ f 1 + (x * log ↑n + log ↑n !) = f 1 + log ↑n ! + x * log ↑n
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ n + 1 ≠ 0

Tactic:
·

Goal state after:
case refine_1
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ n + 1 ≠ 0
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_2
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ 2 ≤ n + 1

Tactic:
·

Goal state after:
case refine_2
f : ℝ → ℝ
x : ℝ
n : ℕ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hn : n ≠ 0
⊢ 2 ≤ n + 1
Module: Mathlib.Analysis.SpecialFunctions.Gamma.Beta

Goal state before:
pp: case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
this : HasDerivAt (fun x ↦ id x ^ u) (u * id ↑x ^ (u - 1) * 1) ↑x
⊢ HasDerivAt (fun y ↦ y ^ u) (u * ↑x ^ (u - 1)) ↑x

pp: case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
⊢ 0 < (id ↑x).re

Tactic:
·

Goal state after:
case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
this : HasDerivAt (fun x ↦ id x ^ u) (u * id ↑x ^ (u - 1) * 1) ↑x
⊢ HasDerivAt (fun y ↦ y ^ u) (u * ↑x ^ (u - 1)) ↑x
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ Tendsto (fun n ↦ f x - f 1 - x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f x - f 1))

pp: case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, f x - f 1 - x * (log (↑b + 1) - log ↑b) ≤ logGammaSeq x b

pp: case refine_3
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, logGammaSeq x b ≤ f x - f 1

Tactic:
·

Goal state after:
case refine_1
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ Tendsto (fun n ↦ f x - f 1 - x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f x - f 1))
Module: Mathlib.Analysis.SpecialFunctions.Gamma.Beta

Goal state before:
pp: case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
⊢ 0 < (id ↑x).re

Tactic:
·

Goal state after:
case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
⊢ 0 < (id ↑x).re
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, f x - f 1 - x * (log (↑b + 1) - log ↑b) ≤ logGammaSeq x b

pp: case refine_3
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, logGammaSeq x b ≤ f x - f 1

Tactic:
·

Goal state after:
case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, f x - f 1 - x * (log (↑b + 1) - log ↑b) ≤ logGammaSeq x b
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_3
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, logGammaSeq x b ≤ f x - f 1

Tactic:
·

Goal state after:
case refine_3
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
hx' : x ≤ 1
⊢ ∀ᶠ (b : ℕ) in atTop, logGammaSeq x b ≤ f x - f 1
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
⊢ ↑⌈x - 1⌉₊ < x

pp: case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
⊢ x ≤ ↑⌈x - 1⌉₊ + 1

Tactic:
·

Goal state after:
case refine_1
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
⊢ ↑⌈x - 1⌉₊ < x
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1.inl
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
h✝ : x < 1
⊢ ↑⌈x - 1⌉₊ < x

pp: case refine_1.inr
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
h✝ : 1 ≤ x
⊢ ↑⌈x - 1⌉₊ < x

Tactic:
·

Goal state after:
case refine_1.inl
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
h✝ : x < 1
⊢ ↑⌈x - 1⌉₊ < x
Module: Mathlib.Analysis.MellinTransform

Goal state before:
pp: case refine_2
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
j : ℝ
hj : b < j
hj' : j < a
w : ℝ
hw1 : b < w
hw2 : w < j
w' : ℝ
hw1' : j < w'
hw2' : w' < a
⊢ (fun t ↦ |log t| * ‖f t‖) =O[atTop] fun x ↦ x ^ (-w')

pp: case refine_3
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
j : ℝ
hj : b < j
hj' : j < a
w : ℝ
hw1 : b < w
hw2 : w < j
w' : ℝ
hw1' : j < w'
hw2' : w' < a
⊢ (fun t ↦ |log t| * ‖f t‖) =O[𝓝[>] 0] fun x ↦ x ^ (-w)

Tactic:
·

Goal state after:
case refine_2
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
j : ℝ
hj : b < j
hj' : j < a
w : ℝ
hw1 : b < w
hw2 : w < j
w' : ℝ
hw1' : j < w'
hw2' : w' < a
⊢ (fun t ↦ |log t| * ‖f t‖) =O[atTop] fun x ↦ x ^ (-w')
Module: Mathlib.Analysis.SpecialFunctions.Gamma.Beta

Goal state before:
pp: case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
U : HasDerivAt (fun y ↦ y ^ u) (u * ↑x ^ (u - 1)) ↑x
⊢ 0 < (id (1 - ↑x)).re

pp: case refine_2
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
U : HasDerivAt (fun y ↦ y ^ u) (u * ↑x ^ (u - 1)) ↑x
A : HasDerivAt (fun x ↦ id x ^ v) (v * id (1 - ↑x) ^ (v - 1) * 1) (1 - ↑x)
⊢ HasDerivAt (fun y ↦ (1 - y) ^ v) (-v * (1 - ↑x) ^ (v - 1)) ↑x

Tactic:
·

Goal state after:
case refine_1
u v : ℂ
hu : 0 < u.re
hv : 0 < v.re
F : ℝ → ℂ := fun x ↦ ↑x ^ u * (1 - ↑x) ^ v
hu' : 0 < (u + 1).re
hv' : 0 < (v + 1).re
hc : ContinuousOn F (Icc 0 1)
x : ℝ
hx : x ∈ Ioo 0 1
U : HasDerivAt (fun y ↦ y ^ u) (u * ↑x ^ (u - 1)) ↑x
⊢ 0 < (id (1 - ↑x)).re
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_1.inr
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
h✝ : 1 ≤ x
⊢ ↑⌈x - 1⌉₊ < x

Tactic:
·

Goal state after:
case refine_1.inr
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
h✝ : 1 ≤ x
⊢ ↑⌈x - 1⌉₊ < x
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
⊢ x ≤ ↑⌈x - 1⌉₊ + 1

Tactic:
·

Goal state after:
case refine_2
f : ℝ → ℝ
x : ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
hx : 0 < x
this : ∀ (m : ℕ), ↑m < x → x ≤ ↑m + 1 → Tendsto (logGammaSeq x) atTop (𝓝 (f x - f 1))
⊢ x ≤ ↑⌈x - 1⌉₊ + 1
Module: Mathlib.Analysis.MellinTransform

Goal state before:
pp: case refine_3
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
j : ℝ
hj : b < j
hj' : j < a
w : ℝ
hw1 : b < w
hw2 : w < j
w' : ℝ
hw1' : j < w'
hw2' : w' < a
⊢ (fun t ↦ |log t| * ‖f t‖) =O[𝓝[>] 0] fun x ↦ x ^ (-w)

Tactic:
·

Goal state after:
case refine_3
E : Type u_1
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedSpace ℂ E
a b : ℝ
f : ℝ → E
s : ℂ
hfc : LocallyIntegrableOn f (Ioi 0) volume
hf_top : f =O[atTop] fun x ↦ x ^ (-a)
hs_top : s.re < a
hf_bot : f =O[𝓝[>] 0] fun x ↦ x ^ (-b)
hs_bot : b < s.re
F : ℂ → ℝ → E := fun z t ↦ ↑t ^ (z - 1) • f t
F' : ℂ → ℝ → E := fun z t ↦ (↑t ^ (z - 1) * ↑(log t)) • f t
v : ℝ
hv0 : 0 < v
hv1 : v < s.re - b
hv2 : v < a - s.re
bound : ℝ → ℝ := fun t ↦ (t ^ (s.re + v - 1) + t ^ (s.re - v - 1)) * |log t| * ‖f t‖
h1 : ∀ᶠ (z : ℂ) in 𝓝 s, AEStronglyMeasurable (F z) (volume.restrict (Ioi 0))
h2 : IntegrableOn (F s) (Ioi 0) volume
h3 : AEStronglyMeasurable (F' s) (volume.restrict (Ioi 0))
h4 : ∀ᵐ (t : ℝ) ∂volume.restrict (Ioi 0), ∀ z ∈ Metric.ball s v, ‖F' z t‖ ≤ bound t
j : ℝ
hj : b < j
hj' : j < a
w : ℝ
hw1 : b < w
hw2 : w < j
w' : ℝ
hw1' : j < w'
hw2' : w' < a
⊢ (fun t ↦ |log t| * ‖f t‖) =O[𝓝[>] 0] fun x ↦ x ^ (-w)
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case e'_3
f : ℝ → ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
m : ℕ
x : ℝ
hx : 0 < x
hy : ↑m < x - 1
hy' : x - 1 ≤ ↑m + 1
this✝ :
  ∀ᶠ (n : ℕ) in atTop,
    logGammaSeq (x - 1) n = logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)
hm : Tendsto (fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f (x - 1) - f 1 + log (x - 1)))
this :
  ((fun x_1 ↦
        (fun n ↦ logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)) x_1 +
          (fun b ↦ log (x - 1)) x_1) ∘
      fun a ↦ a + 1) =
    fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)
x✝ : ℕ
⊢ logGammaSeq x x✝ = logGammaSeq x x✝ + x * (log (↑x✝ + 1) - log ↑x✝) - x * (log (↑x✝ + 1) - log ↑x✝)

pp: case e'_5
f : ℝ → ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
m : ℕ
x : ℝ
hx : 0 < x
hy : ↑m < x - 1
hy' : x - 1 ≤ ↑m + 1
this✝ :
  ∀ᶠ (n : ℕ) in atTop,
    logGammaSeq (x - 1) n = logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)
hm : Tendsto (fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f (x - 1) - f 1 + log (x - 1)))
this :
  ((fun x_1 ↦
        (fun n ↦ logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)) x_1 +
          (fun b ↦ log (x - 1)) x_1) ∘
      fun a ↦ a + 1) =
    fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)
⊢ f x - f 1 = f (x - 1) - f 1 + log (x - 1) - x * 0

Tactic:
·

Goal state after:
case e'_3
f : ℝ → ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
m : ℕ
x : ℝ
hx : 0 < x
hy : ↑m < x - 1
hy' : x - 1 ≤ ↑m + 1
this✝ :
  ∀ᶠ (n : ℕ) in atTop,
    logGammaSeq (x - 1) n = logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)
hm : Tendsto (fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f (x - 1) - f 1 + log (x - 1)))
this :
  ((fun x_1 ↦
        (fun n ↦ logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)) x_1 +
          (fun b ↦ log (x - 1)) x_1) ∘
      fun a ↦ a + 1) =
    fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)
x✝ : ℕ
⊢ logGammaSeq x x✝ = logGammaSeq x x✝ + x * (log (↑x✝ + 1) - log ↑x✝) - x * (log (↑x✝ + 1) - log ↑x✝)
Module: Mathlib.Analysis.SpecialFunctions.Gamma.BohrMollerup

Goal state before:
pp: case e'_5
f : ℝ → ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
m : ℕ
x : ℝ
hx : 0 < x
hy : ↑m < x - 1
hy' : x - 1 ≤ ↑m + 1
this✝ :
  ∀ᶠ (n : ℕ) in atTop,
    logGammaSeq (x - 1) n = logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)
hm : Tendsto (fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f (x - 1) - f 1 + log (x - 1)))
this :
  ((fun x_1 ↦
        (fun n ↦ logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)) x_1 +
          (fun b ↦ log (x - 1)) x_1) ∘
      fun a ↦ a + 1) =
    fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)
⊢ f x - f 1 = f (x - 1) - f 1 + log (x - 1) - x * 0

Tactic:
·

Goal state after:
case e'_5
f : ℝ → ℝ
hf_conv : ConvexOn ℝ (Ioi 0) f
hf_feq : ∀ {y : ℝ}, 0 < y → f (y + 1) = f y + log y
m : ℕ
x : ℝ
hx : 0 < x
hy : ↑m < x - 1
hy' : x - 1 ≤ ↑m + 1
this✝ :
  ∀ᶠ (n : ℕ) in atTop,
    logGammaSeq (x - 1) n = logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)
hm : Tendsto (fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)) atTop (𝓝 (f (x - 1) - f 1 + log (x - 1)))
this :
  ((fun x_1 ↦
        (fun n ↦ logGammaSeq x (n - 1) + x * (log (↑(n - 1) + 1) - log ↑(n - 1)) - log (x - 1)) x_1 +
          (fun b ↦ log (x - 1)) x_1) ∘
      fun a ↦ a + 1) =
    fun n ↦ logGammaSeq x n + x * (log (↑n + 1) - log ↑n)
⊢ f x - f 1 = f (x - 1) - f 1 + log (x - 1) - x * 0