mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hpq : p.HolderConjugate q
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_nontop : ∫⁻ (a : α), f a ^ p ∂μ ≠ ∞
hg_nontop : ∫⁻ (a : α), g a ^ q ∂μ ≠ ∞
hf_nonzero : ∫⁻ (a : α), f a ^ p ∂μ ≠ 0
hg_nonzero : ∫⁻ (a : α), g a ^ q ∂μ ≠ 0
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConcaveOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
hg₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ g x
hfg : AntivaryOn f g s
x : G
hx : x ∈ s
y : G
hy : y ∈ s
a b : 𝕜
ha : 0 ≤ a
hb : 0 ≤ b
hab : a + b = 1
⊢ (a * (a + b)) • f x • g x + (b * (a + b)) • f y • g y =
    (a * a) • f x • g x + (b * b) • f y • g y + (a * b) • (f x • g x + f y • g y)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p q : ℝ
a b : ℝ≥0
hp_pos : 0 < p
hpq : p ≤ q
⊢ (a ^ q + b ^ q) ^ (1 / q) ≤ (a ^ p + b ^ p) ^ (1 / p)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
hp0 : 0 ≤ p
f : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_zero : ∫⁻ (a : α), f a ^ p ∂μ = 0
⊢ f =ᵐ[μ] 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConcaveOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
hg₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ g x
hfg : AntivaryOn f g s
x : G
hx : x ∈ s
y : G
hy : y ∈ s
a b : 𝕜
ha : 0 ≤ a
hb : 0 ≤ b
hab : a + b = 1
⊢ (a * a) • f x • g x + (b * b) • f y • g y + (a * b) • (f x • g x + f y • g y) ≤
    (a * a) • f x • g x + (b * b) • f y • g y + (a * b) • (f x • g y + f y • g x)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
hp0 : 0 ≤ p
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_zero : ∫⁻ (a : α), f a ^ p ∂μ = 0
h_mul_zero : f * g =ᵐ[μ] 0 * g
⊢ f * g =ᵐ[μ] 0

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
hp0 : 0 ≤ p
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_zero : ∫⁻ (a : α), f a ^ p ∂μ = 0
⊢ ∫⁻ (a : α), (f * g) a ∂μ = 0

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hp0_lt : 0 < p
hq0 : 0 ≤ q
f g : α → ℝ≥0∞
hf_top : ∫⁻ (a : α), f a ^ p ∂μ = ∞
hg_nonzero : ∫⁻ (a : α), g a ^ q ∂μ ≠ 0
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0
hp : 0 ≤ p
hp1 : p ≤ 1
⊢ (a + b) ^ p ≤ a ^ p + b ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p a b : ℝ
ha : 0 ≤ a
hb : 0 ≤ b
hp1 : 1 ≤ p
⊢ a ^ p + b ^ p ≤ (a + b) ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p a b : ℝ
ha : 0 ≤ a
hb : 0 ≤ b
hp1 : 1 ≤ p
⊢ (a ^ p + b ^ p) ^ (1 / p) ≤ a + b

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p q a b : ℝ
ha : 0 ≤ a
hb : 0 ≤ b
hp_pos : 0 < p
hpq : p ≤ q
⊢ (a ^ q + b ^ q) ^ (1 / q) ≤ (a ^ p + b ^ p) ^ (1 / p)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p a b : ℝ
ha : 0 ≤ a
hb : 0 ≤ b
hp : 0 ≤ p
hp1 : p ≤ 1
⊢ (a + b) ^ p ≤ a ^ p + b ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
⊢ 0 < p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
⊢ 0 ≤ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
⊢ ¬p < 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
⊢ ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: case refine_1
ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
⊢ (∑ i ∈ s, w i * z i) ^ p = ∞ → ∑ i ∈ s, w i * z i ^ p = ∞

pp: case refine_2
ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
⊢ (∑ i ∈ s, w i * z i) ^ p ≠ ∞ →
    ∑ i ∈ s, w i * z i ^ p ≠ ∞ → ((∑ i ∈ s, w i * z i) ^ p).toNNReal ≤ (∑ i ∈ s, w i * z i ^ p).toNNReal

Tactic:
· -- first, prove `(∑ i ∈ s, w i * z i) ^ p = ⊤ → ∑ i ∈ s, (w i * z i ^ p) = ⊤`
    rw [rpow_eq_top_iff, sum_eq_top, sum_eq_top]
    grind

Goal state after:
case refine_2
ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
⊢ (∑ i ∈ s, w i * z i) ^ p ≠ ∞ →
    ∑ i ∈ s, w i * z i ^ p ≠ ∞ → ((∑ i ∈ s, w i * z i) ^ p).toNNReal ≤ (∑ i ∈ s, w i * z i ^ p).toNNReal
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
h_top_rpow_sum : (∑ i ∈ s, w i * z i) ^ p ≠ ∞
a✝ : ∑ i ∈ s, w i * z i ^ p ≠ ∞
⊢ ∑ i ∈ s, w i * z i ≠ ∞

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hpq : p.HolderConjugate q
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConcaveOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
hg₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ g x
hfg : AntivaryOn f g s
⊢ ConcaveOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
h_top_rpow_sum : (∑ i ∈ s, w i * z i) ^ p ≠ ∞
a✝ : ∑ i ∈ s, w i * z i ^ p ≠ ∞
h_top : ∀ a ∈ s, w a * z a ≠ ∞
⊢ ∀ a ∈ s, w a * z a ^ p ≠ ∞

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConvexOn 𝕜 s f
hg : ConvexOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → f x ≤ 0
hg₀ : ∀ ⦃x : G⦄, x ∈ s → g x ≤ 0
hfg : AntivaryOn f g s
⊢ ConcaveOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
inst✝ : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
p q : ℝ
hp✝ : 0 ≤ p
hq✝ : 0 ≤ q
hpq : p + q = 1
hp : 0 < p
hq : 0 < q
⊢ 1 < 1 / p

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
inst✝ : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
p q : ℝ
hp✝ : 0 ≤ p
hq✝ : 0 ≤ q
hpq : p + q = 1
hp : 0 < p
hq : 0 < q
h2p : 1 < 1 / p
⊢ (1 / p)⁻¹ + (1 / q)⁻¹ = 1

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁷ : CommRing 𝕜
inst✝¹⁶ : LinearOrder 𝕜
inst✝¹⁵ : IsStrictOrderedRing 𝕜
inst✝¹⁴ : CommRing E
inst✝¹³ : LinearOrder E
inst✝¹² : IsStrictOrderedRing E
inst✝¹¹ : AddCommGroup F
inst✝¹⁰ : LinearOrder F
inst✝⁹ : IsOrderedAddMonoid F
inst✝⁸ : AddCommGroup G
inst✝⁷ : Module 𝕜 G
inst✝⁶ : Module 𝕜 E
inst✝⁵ : Module 𝕜 F
inst✝⁴ : Module E F
inst✝³ : IsScalarTower 𝕜 E F
inst✝² : SMulCommClass 𝕜 E F
inst✝¹ : IsOrderedModule 𝕜 F
inst✝ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
hf : ConcaveOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → f x ≤ 0
hg₀ : ∀ ⦃x : G⦄, x ∈ s → g x ≤ 0
hfg : MonovaryOn f g s
⊢ ConvexOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
inst✝ : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
p q : ℝ
hp : 0 ≤ p
hq : 0 ≤ q
hpq : p + q = 1
⊢ ∫⁻ (a : α), f a ^ p * g a ^ q ∂μ ≤ (∫⁻ (a : α), f a ∂μ) ^ p * (∫⁻ (a : α), g a ∂μ) ^ q

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
h_top_rpow_sum : (∑ i ∈ s, w i * z i) ^ p ≠ ∞
a✝ : ∑ i ∈ s, w i * z i ^ p ≠ ∞
h_top : ∀ a ∈ s, w a * z a ≠ ∞
h_top_rpow : ∀ a ∈ s, w a * z a ^ p ≠ ∞
⊢ ∑ i ∈ s, w i = ↑(∑ i ∈ s, (w i).toNNReal)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁷ : CommRing 𝕜
inst✝¹⁶ : LinearOrder 𝕜
inst✝¹⁵ : IsStrictOrderedRing 𝕜
inst✝¹⁴ : CommRing E
inst✝¹³ : LinearOrder E
inst✝¹² : IsStrictOrderedRing E
inst✝¹¹ : AddCommGroup F
inst✝¹⁰ : LinearOrder F
inst✝⁹ : IsOrderedAddMonoid F
inst✝⁸ : AddCommGroup G
inst✝⁷ : Module 𝕜 G
inst✝⁶ : Module 𝕜 E
inst✝⁵ : Module 𝕜 F
inst✝⁴ : Module E F
inst✝³ : IsScalarTower 𝕜 E F
inst✝² : SMulCommClass 𝕜 E F
inst✝¹ : IsOrderedModule 𝕜 F
inst✝ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
hf : ConvexOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
hg₀ : ∀ ⦃x : G⦄, x ∈ s → g x ≤ 0
hfg : AntivaryOn f g s
⊢ ConcaveOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
⊢ ∀ i ∈ s, p i = 0

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
⊢ (∑ i ∈ s, w i * z i) ^ p ≤ ∑ i ∈ s, w i * z i ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConcaveOn 𝕜 s f
hg : ConvexOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
hg₀ : ∀ ⦃x : G⦄, x ∈ s → g x ≤ 0
hfg : MonovaryOn f g s
⊢ ConvexOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
⊢ ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i ↔ ∀ j ∈ s, z j = ∑ i ∈ s, w i * z i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 ≤ w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
⊢ ∀ i ∈ {i ∈ s | w i ≠ 0}, 0 < w i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: w₁ w₂ z₁ z₂ : ℝ≥0∞
hw' : w₁ + w₂ = 1
p : ℝ
hp : 1 ≤ p
⊢ (w₁ * z₁ + w₂ * z₂) ^ p ≤ w₁ * z₁ ^ p + w₂ * z₂ ^ p

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
x : α
i : ι
hi : i ∈ s
⊢ f i x ^ p i = 1

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
⊢ ∫⁻ (a : α), f i₀ a ^ p i₀ * ∏ i ∈ s, f i a ^ p i ∂μ = ∫⁻ (a : α), f i₀ a ^ p i₀ * ∏ i ∈ s, 1 ∂μ

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 ≤ w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
⊢ ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i ↔ ∀ j ∈ s, w j ≠ 0 → z j = ∑ i ∈ s, w i * z i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁸ : CommRing 𝕜
inst✝¹⁷ : LinearOrder 𝕜
inst✝¹⁶ : IsStrictOrderedRing 𝕜
inst✝¹⁵ : CommRing E
inst✝¹⁴ : LinearOrder E
inst✝¹³ : IsStrictOrderedRing E
inst✝¹² : AddCommGroup F
inst✝¹¹ : LinearOrder F
inst✝¹⁰ : IsOrderedAddMonoid F
inst✝⁹ : AddCommGroup G
inst✝⁸ : Module 𝕜 G
inst✝⁷ : Module 𝕜 E
inst✝⁶ : Module 𝕜 F
inst✝⁵ : Module E F
inst✝⁴ : IsScalarTower 𝕜 E F
inst✝³ : SMulCommClass 𝕜 E F
inst✝² : IsOrderedModule 𝕜 F
inst✝¹ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
inst✝ : IsOrderedModule 𝕜 E
hf : ConvexOn 𝕜 s f
hg : ConcaveOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → f x ≤ 0
hg₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ g x
hfg : MonovaryOn f g s
⊢ ConvexOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: z₁ z₂ : ℝ≥0∞
p : ℝ
hp : 1 ≤ p
⊢ (z₁ + z₂) ^ p ≤ 2 ^ (p - 1) * (z₁ ^ p + z₂ ^ p)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
⊢ ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i → ∀ j ∈ s, ∀ k ∈ s, z j = z k

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0∞
hp1 : 1 ≤ p
⊢ 0 < p

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
⊢ ∫⁻ (a : α), f i₀ a ^ p i₀ * ∏ i ∈ s, 1 ∂μ ≤ (∫⁻ (a : α), f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, 1

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
h : ∀ j ∈ s, ∀ k ∈ s, z j = z k
⊢ s.Nonempty

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
F : Type u_3
G : Type u_4
inst✝¹⁷ : CommRing 𝕜
inst✝¹⁶ : LinearOrder 𝕜
inst✝¹⁵ : IsStrictOrderedRing 𝕜
inst✝¹⁴ : CommRing E
inst✝¹³ : LinearOrder E
inst✝¹² : IsStrictOrderedRing E
inst✝¹¹ : AddCommGroup F
inst✝¹⁰ : LinearOrder F
inst✝⁹ : IsOrderedAddMonoid F
inst✝⁸ : AddCommGroup G
inst✝⁷ : Module 𝕜 G
inst✝⁶ : Module 𝕜 E
inst✝⁵ : Module 𝕜 F
inst✝⁴ : Module E F
inst✝³ : IsScalarTower 𝕜 E F
inst✝² : SMulCommClass 𝕜 E F
inst✝¹ : IsOrderedModule 𝕜 F
inst✝ : IsStrictOrderedModule E F
s : Set G
f : G → E
g : G → F
hf : ConcaveOn 𝕜 s f
hg : ConvexOn 𝕜 s g
hf₀ : ∀ ⦃x : G⦄, x ∈ s → f x ≤ 0
hg₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ g x
hfg : AntivaryOn f g s
⊢ ConcaveOn 𝕜 s (f • g)

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
i : ι
hi : i ∈ s
⊢ 1 = (∫⁻ (a : α), f i a ∂μ) ^ p i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0∞
hp1 : 1 ≤ p
⊢ a ^ p + b ^ p ≤ (a + b) ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
G : Type u_4
inst✝¹¹ : CommRing 𝕜
inst✝¹⁰ : LinearOrder 𝕜
inst✝⁹ : IsStrictOrderedRing 𝕜
inst✝⁸ : CommRing E
inst✝⁷ : LinearOrder E
inst✝⁶ : IsStrictOrderedRing E
inst✝⁵ : AddCommGroup G
inst✝⁴ : Module 𝕜 G
inst✝³ : Module 𝕜 E
s : Set G
inst✝² : IsOrderedModule 𝕜 E
inst✝¹ : IsScalarTower 𝕜 E E
inst✝ : SMulCommClass 𝕜 E E
f : G → E
hf : ConvexOn 𝕜 s f
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
⊢ ConvexOn 𝕜 s (f ^ 0)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0∞
hp1 : 1 ≤ p
⊢ 0 < p⁻¹

Tactic:
by

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
⊢ (∫⁻ (a : α), f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, 1 = (∫⁻ (a : α), f i₀ a ∂μ) ^ p i₀ * ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0∞
hp1 : 1 ≤ p
⊢ (a ^ p + b ^ p) ^ (1 / p) ≤ a + b

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p q : ℝ
a✝ b : ℝ≥0∞
hp_pos : 0 < p
hpq : p ≤ q
a : ℝ≥0∞
⊢ a ^ q = (a ^ p) ^ (q / p)

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
h : ∀ j ∈ s, ∀ k ∈ s, z j = z k
k : ι
hk : k ∈ s
this : ∏ i ∈ s, z k ^ w i = ∑ i ∈ s, w i * z k
⊢ ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
E : Type u_2
G : Type u_4
inst✝¹¹ : CommRing 𝕜
inst✝¹⁰ : LinearOrder 𝕜
inst✝⁹ : IsStrictOrderedRing 𝕜
inst✝⁸ : CommRing E
inst✝⁷ : LinearOrder E
inst✝⁶ : IsStrictOrderedRing E
inst✝⁵ : AddCommGroup G
inst✝⁴ : Module 𝕜 G
inst✝³ : Module 𝕜 E
s : Set G
inst✝² : IsOrderedModule 𝕜 E
inst✝¹ : IsScalarTower 𝕜 E E
inst✝ : SMulCommClass 𝕜 E E
f : G → E
hf : ConvexOn 𝕜 s f
hf₀ : ∀ ⦃x : G⦄, x ∈ s → 0 ≤ f x
n : ℕ
⊢ ConvexOn 𝕜 s (f ^ (n + 1))

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p q : ℝ
a b : ℝ≥0∞
hp_pos : 0 < p
hpq : p ≤ q
h_rpow : ∀ (a : ℝ≥0∞), a ^ q = (a ^ p) ^ (q / p)
⊢ ((a ^ p) ^ (q / p) + (b ^ p) ^ (q / p)) ^ (1 / (q / p)) ≤ a ^ p + b ^ p

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
inst✝² : CommRing 𝕜
inst✝¹ : LinearOrder 𝕜
inst✝ : IsStrictOrderedRing 𝕜
n : ℕ
x✝¹ : 𝕜
x✝ : x✝¹ ∈ univ
⊢ 0 ≤ x✝¹ ^ 2

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.Convex.Mul

Goal state before:
pp: 𝕜 : Type u_1
inst✝² : CommRing 𝕜
inst✝¹ : LinearOrder 𝕜
inst✝ : IsStrictOrderedRing 𝕜
n : ℕ
x : 𝕜
x✝¹ : x ∈ univ
y : 𝕜
x✝ : y ∈ univ
a b : 𝕜
ha : 0 ≤ a
hb : 0 ≤ b
hab : a + b = 1
⊢ 0 ≤ a * b * (x - y) ^ 2

Tactic:
by

Goal state after:
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
⊢ ∏ i ∈ s, z i ^ w i = ∑ i ∈ s, w i * z i ↔ ∀ j ∈ s, ∀ k ∈ s, z j = z k

Tactic:
by

Goal state after: