state stringlengths 0 159k | srcUpToTactic stringlengths 387 167k | nextTactic stringlengths 3 9k | declUpToTactic stringlengths 22 11.5k | declId stringlengths 38 95 | decl stringlengths 16 1.89k | file_tag stringlengths 17 73 |
|---|---|---|---|---|---|---|
case refine'_1
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
s : Finset ι
⊢ (∑ i in s, f i ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rw [NNReal.rpow_le_rpow_iff (one_div_pos.mpr pos)] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
case refine'_2
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
s : Finset ι
⊢ (∑ i in s, g i ^ p) ^ (1 / p) ≤ (∑' (i : ι), g i ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rw [NNReal.rpow_le_rpow_iff (one_div_pos.mpr pos)] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
case refine'_1
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
s : Finset ι
⊢ ∑ i in s, f i ^ p ≤ ∑' (i : ι), f i ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' sum_le_tsum _ (fun _ _ => zero_le _) _ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
case refine'_2
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
s : Finset ι
⊢ ∑ i in s, g i ^ p ≤ ∑' (i : ι), g i ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' sum_le_tsum _ (fun _ _ => zero_le _) _ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
case refine'_1
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
s : Finset ι
⊢ Summable fun i => f i ^ p
case refine'_2
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
p... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exacts [hf, hg] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
⊢ (Summable fun i => (f i + g i) ^ p) ∧
(∑' (i : ι), (f i + g ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have bdd : BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p) := by
refine' ⟨((∑' i, f i ^ p) ^ (1 / p) + (∑' i, g i ^ p) ^ (1 / p)) ^ p, _⟩
rintro a ⟨s, rfl⟩
exact H₁ s | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
⊢ BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' ⟨((∑' i, f i ^ p) ^ (1 / p) + (∑' i, g i ^ p) ^ (1 / p)) ^ p, _⟩ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
⊢ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rintro a ⟨s, rfl⟩ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s✝ : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
s : Finset ι
⊢ (fun s => ∑ i in s, (f i + g i) ^ p) s ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exact H₁ s | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
bdd : BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p)
⊢ (S... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have H₂ : Summable _ := (hasSum_of_isLUB _ (isLUB_ciSup bdd)).summable | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
bdd : BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p)
H₂ :... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' ⟨H₂, _⟩ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
bdd : BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p)
H₂ :... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rw [NNReal.rpow_one_div_le_iff pos] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : Summable fun i => f i ^ p
hg : Summable fun i => g i ^ p
pos : 0 < p
H₁ :
∀ (s : Finset ι), ∑ i in s, (f i + g i) ^ p ≤ ((∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)) ^ p
bdd : BddAbove (Set.range fun s => ∑ i in s, (f i + g i) ^ p)
H₂ :... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' tsum_le_of_sum_le H₂ H₁ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib.Analysis.MeanInequalities.499_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are already expressed ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
⊢ ∃ C ≤ A + B, HasSum (fun i => (f i + g i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have hp' : p ≠ 0 := (lt_of_lt_of_le zero_lt_one hp).ne' | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
⊢ ∃ C ≤ A + B, HasSum (fun i => (f i + g i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | obtain ⟨H₁, H₂⟩ := Lp_add_le_tsum hp hf.summable hg.summable | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)
⊢ ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have hA : A = (∑' i : ι, f i ^ p) ^ (1 / p) := by rw [hf.tsum_eq, rpow_inv_rpow_self hp'] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)
⊢ A = (∑' (i ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rw [hf.tsum_eq, rpow_inv_rpow_self hp'] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)
hA... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have hB : B = (∑' i : ι, g i ^ p) ^ (1 / p) := by rw [hg.tsum_eq, rpow_inv_rpow_self hp'] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)
hA : A = (∑' ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | rw [hg.tsum_eq, rpow_inv_rpow_self hp'] | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 / p)
hA... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' ⟨(∑' i, (f i + g i) ^ p) ^ (1 / p), _, _⟩ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
case intro.refine'_1
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simpa [hA, hB] using H₂ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
case intro.refine'_2
ι : Type u
s : Finset ι
f g : ι → ℝ≥0
A B : ℝ≥0
p : ℝ
hp : 1 ≤ p
hf : HasSum (fun i => f i ^ p) (A ^ p)
hg : HasSum (fun i => g i ^ p) (B ^ p)
hp' : p ≠ 0
H₁ : Summable fun i => (f i + g i) ^ p
H₂ : (∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simpa only [rpow_self_rpow_inv hp'] using H₁.hasSum | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib.Analysis.MeanInequalities.539_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `NNReal`-valued functions. For an alternative version, convenient if the
infinite sums are not already expres... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, |f i| ^ p) ^ (1 / p) * (∑ i in s, |g i| ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have :=
NNReal.coe_le_coe.2
(NNReal.inner_le_Lp_mul_Lq s (fun i => ⟨_, abs_nonneg (f i)⟩) (fun i => ⟨_, abs_nonneg (g i)⟩)
hpq) | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib.Analysis.MeanInequalities.561_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
this :
↑(∑ i in s,
(fun i => { val := |f i|, property := (_ : 0 ≤ |f i|) }) i *
(fun i => { val := |g i|, property := (_ : 0 ≤ |g i|) }) i) ≤
↑((∑ i in s, (fun i => { val := |f i|, property := (_ : 0 ≤ |f i|) }) i ^ p) ^ (... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | push_cast at this | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib.Analysis.MeanInequalities.561_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
this : ∑ x in s, |f x| * |g x| ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) * (∑ x in s, |g x| ^ q) ^ (1 / q)
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, |f i| ^ p) ^ (1 / p) * (∑ i in s, |g i| ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' le_trans (sum_le_sum fun i _ => _) this | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib.Analysis.MeanInequalities.561_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
this : ∑ x in s, |f x| * |g x| ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) * (∑ x in s, |g x| ^ q) ^ (1 / q)
i : ι
x✝ : i ∈ s
⊢ f i * g i ≤ |f i| * |g i| | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [← abs_mul, le_abs_self] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib.Analysis.MeanInequalities.561_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : IsConjugateExponent p q) :
∑ i in s, f i * g i ≤ (∑ i in s... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
⊢ (∑ i in s, |f i|) ^ p ≤ ↑(card s) ^ (p - 1) * ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have :=
NNReal.coe_le_coe.2
(NNReal.rpow_sum_le_const_mul_sum_rpow s (fun i => ⟨_, abs_nonneg (f i)⟩) hp) | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib.Analysis.MeanInequalities.575_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this :
↑((∑ i in s, (fun i => { val := |f i|, property := (_ : 0 ≤ |f i|) }) i) ^ p) ≤
↑(↑(card s) ^ (p - 1) * ∑ i in s, (fun i => { val := |f i|, property := (_ : 0 ≤ |f i|) }) i ^ p)
⊢ (∑ i in s, |f i|) ^ p ≤ ↑(card s) ^ (p - 1) * ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | push_cast at this | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib.Analysis.MeanInequalities.575_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this : (∑ x in s, |f x|) ^ p ≤ ↑(card s) ^ (p - 1) * ∑ x in s, |f x| ^ p
⊢ (∑ i in s, |f i|) ^ p ≤ ↑(card s) ^ (p - 1) * ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exact this | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib.Analysis.MeanInequalities.575_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with `ℝ`-valued functions. -/
theorem rpow_sum_le_const_mul_sum_rpow (hp : 1 ≤ p) :
(∑ i in s, |f i|) ^ p ≤ (card s : ℝ) ^ (p - 1) * ∑ i in s, |f i| ^ ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
⊢ (∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤ (∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have :=
NNReal.coe_le_coe.2
(NNReal.Lp_add_le s (fun i => ⟨_, abs_nonneg (f i)⟩) (fun i => ⟨_, abs_nonneg (g i)⟩) hp) | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this :
↑((∑ i in s,
((fun i => { val := |f i|, property := (_ : 0 ≤ |f i|) }) i +
(fun i => { val := |g i|, property := (_ : 0 ≤ |g i|) }) i) ^
p) ^
(1 / p)) ≤
↑((∑ i in s, (fun i => { val := |f i|, property := (_ :... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | push_cast at this | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this : (∑ x in s, (|f x| + |g x|) ^ p) ^ (1 / p) ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) + (∑ x in s, |g x| ^ p) ^ (1 / p)
⊢ (∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤ (∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' le_trans (rpow_le_rpow _ (sum_le_sum fun i _ => _) _) this | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
case refine'_1
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this : (∑ x in s, (|f x| + |g x|) ^ p) ^ (1 / p) ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) + (∑ x in s, |g x| ^ p) ^ (1 / p)
⊢ 0 ≤ ∑ i in s, |f i + g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp [sum_nonneg, rpow_nonneg_of_nonneg, abs_nonneg, le_trans zero_le_one hp, abs_add,
rpow_le_rpow] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
case refine'_2
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this : (∑ x in s, (|f x| + |g x|) ^ p) ^ (1 / p) ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) + (∑ x in s, |g x| ^ p) ^ (1 / p)
i : ι
x✝ : i ∈ s
⊢ |f i + g i| ^ p ≤ (|f i| + |g i|) ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp [sum_nonneg, rpow_nonneg_of_nonneg, abs_nonneg, le_trans zero_le_one hp, abs_add,
rpow_le_rpow] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
case refine'_3
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
this : (∑ x in s, (|f x| + |g x|) ^ p) ^ (1 / p) ≤ (∑ x in s, |f x| ^ p) ^ (1 / p) + (∑ x in s, |g x| ^ p) ^ (1 / p)
⊢ 0 ≤ 1 / p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp [sum_nonneg, rpow_nonneg_of_nonneg, abs_nonneg, le_trans zero_le_one hp, abs_add,
rpow_le_rpow] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib.Analysis.MeanInequalities.587_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `Real`-valued functions. -/
theorem Lp_add_le (hp : 1 ≤ p) :
(∑ i in s, |f i + g i| ^ p) ^ (1 / p) ≤
(∑ i in s, |f i| ^ p) ^ (1 / p) + (∑ i in s, |g i| ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, f i ^ p) ^ (1 / p) * (∑ i in s, g i ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | convert inner_le_Lp_mul_Lq s f g hpq using 3 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, f i ^ p = ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, g i ^ q = ∑ i in s, |g i| ^ q | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∀ x ∈ s, f x ^ p = |f x| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∀ x ∈ s, g x ^ q = |g x| ^ q | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
i : ι
hi : i ∈ s
⊢ f i ^ p = |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi, hg i hi] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
i : ι
hi : i ∈ s
⊢ g i ^ q = |g i| ^ q | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi, hg i hi] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib.Analysis.MeanInequalities.603_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with real-valued nonnegative functions. -/
theorem inner_le_Lp_mul_Lq_of_nonneg (hpq : IsConjugateExponent p q) (hf : ∀ i ∈ s, ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hf : ∀ (i : ι), 0 ≤ f i
hg : ∀ (i : ι), 0 ≤ g i
hf_sum : Summable fun i => f i ^ p
hg_sum : Summable fun i => g i ^ q
⊢ (Summable fun i => f i * g i) ∧
∑' (i : ι), f i * g i ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) * (∑' (i : ι), g i ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift f to ι → ℝ≥0 using hf | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib.Analysis.MeanInequalities.613_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
hg : ∀ (i : ι), 0 ≤ g i
hg_sum : Summable fun i => g i ^ q
f : ι → ℝ≥0
hf_sum : Summable fun i => (fun i => ↑(f i)) i ^ p
⊢ (Summable fun i => (fun i => ↑(f i)) i * g i) ∧
∑' (i : ι), (fun i => ↑(f i)) i * g i ≤
(∑' (i : ι), (f... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift g to ι → ℝ≥0 using hg | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib.Analysis.MeanInequalities.613_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib_Analysis_MeanInequalities |
case intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hpq : IsConjugateExponent p q
f : ι → ℝ≥0
hf_sum : Summable fun i => (fun i => ↑(f i)) i ^ p
g : ι → ℝ≥0
hg_sum : Summable fun i => (fun i => ↑(g i)) i ^ q
⊢ (Summable fun i => (fun i => ↑(f i)) i * (fun i => ↑(g i)) i) ∧
∑' (i : ι), (fun i => ↑(f i)) i * (fun i => ↑... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | beta_reduce at * | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib.Analysis.MeanInequalities.613_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib_Analysis_MeanInequalities |
case intro.intro
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
hg_sum : Summable fun i => ↑(g i) ^ q
hf_sum : Summable fun i => ↑(f i) ^ p
s : Finset ι
⊢ (Summable fun i => ↑(f i) * ↑(g i)) ∧
∑' (i : ι), ↑(f i) * ↑(g i) ≤ (∑' (i : ι), ↑(f i) ^ p) ^ (1 / p) * (∑' (i : ι), ↑(g i) ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast at * | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib.Analysis.MeanInequalities.613_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib_Analysis_MeanInequalities |
case intro.intro
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
s : Finset ι
hg_sum : Summable fun a => g a ^ q
hf_sum : Summable fun a => f a ^ p
⊢ (Summable fun a => f a * g a) ∧
∑' (a : ι), f a * g a ≤ (∑' (a : ι), f a ^ p) ^ (1 / p) * (∑' (a : ι), g a ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exact NNReal.inner_le_Lp_mul_Lq_tsum hpq hf_sum hg_sum | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib.Analysis.MeanInequalities.613_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `ℝ`-valued functions.
For an alternative version, convenient if the infinite sums are already expressed as `p`-th powers,
see `inner_le_Lp_mul_Lq_ha... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
hf : ∀ (i : ι), 0 ≤ f i
hg : ∀ (i : ι), 0 ≤ g i
hf_sum : HasSum (fun i => f i ^ p) (A ^ p)
hg_sum : HasSum (fun i => g i ^ q) (B ^ q)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A * B ∧ HasSum (fun i => f i * g i) C | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift f to ι → ℝ≥0 using hf | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
g : ι → ℝ
p q : ℝ
hpq : IsConjugateExponent p q
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
hg : ∀ (i : ι), 0 ≤ g i
hg_sum : HasSum (fun i => g i ^ q) (B ^ q)
f : ι → ℝ≥0
hf_sum : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (A ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A * B ∧ HasSum (fun i => (fun i => ↑(f i)) i * g i... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift g to ι → ℝ≥0 using hg | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hpq : IsConjugateExponent p q
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
f : ι → ℝ≥0
hf_sum : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (A ^ p)
g : ι → ℝ≥0
hg_sum : HasSum (fun i => (fun i => ↑(g i)) i ^ q) (B ^ q)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A * B ∧ HasSum (fun i => (fun i => ↑(f i)) i * (fu... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift A to ℝ≥0 using hA | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hpq : IsConjugateExponent p q
B : ℝ
hB : 0 ≤ B
f g : ι → ℝ≥0
hg_sum : HasSum (fun i => (fun i => ↑(g i)) i ^ q) (B ^ q)
A : ℝ≥0
hf_sum : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (↑A ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A * B ∧ HasSum (fun i => (fun i => ↑(f i)) i * (fun i => ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift B to ℝ≥0 using hB | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hpq : IsConjugateExponent p q
f g : ι → ℝ≥0
A : ℝ≥0
hf_sum : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (↑A ^ p)
B : ℝ≥0
hg_sum : HasSum (fun i => (fun i => ↑(g i)) i ^ q) (↑B ^ q)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A * ↑B ∧ HasSum (fun i => (fun i => ↑(f i)) i * (fun i => ↑... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | beta_reduce at * | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
B A : ℝ≥0
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
hg_sum : HasSum (fun i => ↑(g i) ^ q) (↑B ^ q)
hf_sum : HasSum (fun i => ↑(f i) ^ p) (↑A ^ p)
s : Finset ι
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A * ↑B ∧ HasSum (fun i => ↑(f i) * ↑(g i)) C | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast at hf_sum hg_sum | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
B A : ℝ≥0
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
s : Finset ι
hf_sum : HasSum (fun a => f a ^ p) (A ^ p)
hg_sum : HasSum (fun a => g a ^ q) (B ^ q)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A * ↑B ∧ HasSum (fun i => ↑(f i) * ↑(g i)) C | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | obtain ⟨C, hC, H⟩ := NNReal.inner_le_Lp_mul_Lq_hasSum hpq hf_sum hg_sum | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro.intro.intro
B A : ℝ≥0
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
s : Finset ι
hf_sum : HasSum (fun a => f a ^ p) (A ^ p)
hg_sum : HasSum (fun a => g a ^ q) (B ^ q)
C : ℝ≥0
hC : C ≤ A * B
H : HasSum (fun i => f i * g i) C
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A * ↑B ∧ HasSum (fun i => ↑(f ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | refine' ⟨C, C.prop, hC, _⟩ | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro.intro.intro
B A : ℝ≥0
q p : ℝ
hpq : IsConjugateExponent p q
ι : Type u
g f : ι → ℝ≥0
s : Finset ι
hf_sum : HasSum (fun a => f a ^ p) (A ^ p)
hg_sum : HasSum (fun a => g a ^ q) (B ^ q)
C : ℝ≥0
hC : C ≤ A * B
H : HasSum (fun i => f i * g i) C
⊢ HasSum (fun i => ↑(f i) * ↑(g i)) ↑C | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib.Analysis.MeanInequalities.641_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. A version for `NNReal`-valued
functions. For an alternative version, convenient if the infinite sums are not already expressed as
`p`-th powers, see `inner_le_Lp_... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
⊢ (∑ i in s, f i) ^ p ≤ ↑(card s) ^ (p - 1) * ∑ i in s, f i ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | convert rpow_sum_le_const_mul_sum_rpow s f hp using 2 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
⊢ ∑ i in s, f i = ∑ i in s, |f i| | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
⊢ ∑ i in s, f i ^ p = ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
⊢ ∀ x ∈ s, f x = |f x| | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
⊢ ∀ x ∈ s, f x ^ p = |f x| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
i : ι
hi : i ∈ s
⊢ f i = |f i| | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi] | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
i : ι
hi : i ∈ s
⊢ f i ^ p = |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi] | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib.Analysis.MeanInequalities.661_0.4hD1oATDjTWuML9 | /-- For `1 ≤ p`, the `p`-th power of the sum of `f i` is bounded above by a constant times the
sum of the `p`-th powers of `f i`. Version for sums over finite sets, with nonnegative `ℝ`-valued
functions. -/
theorem rpow_sum_le_const_mul_sum_rpow_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) :
(∑ i in s, f i) ^ p ≤... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ (∑ i in s, (f i + g i) ^ p) ^ (1 / p) ≤ (∑ i in s, f i ^ p) ^ (1 / p) + (∑ i in s, g i ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | convert Lp_add_le s f g hp using 2 <;> [skip;congr 1;congr 1] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ (∑ i in s, (f i + g i) ^ p) ^ (1 / p) ≤ (∑ i in s, f i ^ p) ^ (1 / p) + (∑ i in s, g i ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | convert Lp_add_le s f g hp using 2 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, (f i + g i) ^ p = ∑ i in s, |f i + g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | skip | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ (∑ i in s, f i ^ p) ^ (1 / p) = (∑ i in s, |f i| ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | congr 1 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ (∑ i in s, g i ^ p) ^ (1 / p) = (∑ i in s, |g i| ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | congr 1 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, (f i + g i) ^ p = ∑ i in s, |f i + g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, f i ^ p = ∑ i in s, |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∑ i in s, g i ^ p = ∑ i in s, |g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | apply sum_congr rfl | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∀ x ∈ s, (f x + g x) ^ p = |f x + g x| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∀ x ∈ s, f x ^ p = |f x| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
⊢ ∀ x ∈ s, g x ^ p = |g x| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | intro i hi | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_3.h.e'_5
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
i : ι
hi : i ∈ s
⊢ (f i + g i) ^ p = |f i + g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi, hg i hi, add_nonneg] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_5.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
i : ι
hi : i ∈ s
⊢ f i ^ p = |f i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi, hg i hi, add_nonneg] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
case h.e'_4.h.e'_6.e_a
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ i ∈ s, 0 ≤ f i
hg : ∀ i ∈ s, 0 ≤ g i
i : ι
hi : i ∈ s
⊢ g i ^ p = |g i| ^ p | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp only [abs_of_nonneg, hf i hi, hg i hi, add_nonneg] | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib.Analysis.MeanInequalities.670_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the sum of two vectors is less than or equal
to the sum of the `L_p`-seminorms of the summands. A version for `ℝ`-valued nonnegative
functions. -/
theorem Lp_add_le_of_nonneg (hp : 1 ≤ p) (hf : ∀ i ∈ s, 0 ≤ f i) (hg : ∀ i ∈ s, 0 ≤ g i) :
(∑ i in s, (f i + g i) ^ p) ^ ... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ (i : ι), 0 ≤ f i
hg : ∀ (i : ι), 0 ≤ g i
hf_sum : Summable fun i => f i ^ p
hg_sum : Summable fun i => g i ^ p
⊢ (Summable fun i => (f i + g i) ^ p) ∧
(∑' (i : ι), (f i + g i) ^ p) ^ (1 / p) ≤ (∑' (i : ι), f i ^ p) ^ (1 / p) + (∑' (i : ι), g i ^ p) ^ (1 ... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift f to ι → ℝ≥0 using hf | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib.Analysis.MeanInequalities.681_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hg : ∀ (i : ι), 0 ≤ g i
hg_sum : Summable fun i => g i ^ p
f : ι → ℝ≥0
hf_sum : Summable fun i => (fun i => ↑(f i)) i ^ p
⊢ (Summable fun i => ((fun i => ↑(f i)) i + g i) ^ p) ∧
(∑' (i : ι), ((fun i => ↑(f i)) i + g i) ^ p) ^ (1 / p) ≤
(∑' (i : ι... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift g to ι → ℝ≥0 using hg | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib.Analysis.MeanInequalities.681_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib_Analysis_MeanInequalities |
case intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f : ι → ℝ≥0
hf_sum : Summable fun i => (fun i => ↑(f i)) i ^ p
g : ι → ℝ≥0
hg_sum : Summable fun i => (fun i => ↑(g i)) i ^ p
⊢ (Summable fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) ∧
(∑' (i : ι), ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | beta_reduce at * | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib.Analysis.MeanInequalities.681_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib_Analysis_MeanInequalities |
case intro.intro
q p : ℝ
hp : 1 ≤ p
ι : Type u
g f : ι → ℝ≥0
hg_sum : Summable fun i => ↑(g i) ^ p
hf_sum : Summable fun i => ↑(f i) ^ p
s : Finset ι
⊢ (Summable fun i => (↑(f i) + ↑(g i)) ^ p) ∧
(∑' (i : ι), (↑(f i) + ↑(g i)) ^ p) ^ (1 / p) ≤
(∑' (i : ι), ↑(f i) ^ p) ^ (1 / p) + (∑' (i : ι), ↑(g i) ^ p) ^ (1... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast0 at * | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib.Analysis.MeanInequalities.681_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib_Analysis_MeanInequalities |
case intro.intro
q p : ℝ
ι : Type u
g f : ι → ℝ≥0
s : Finset ι
hp : 1 ≤ p
hg_sum : Summable fun a => g a ^ p
hf_sum : Summable fun a => f a ^ p
⊢ (Summable fun a => (f a + g a) ^ p) ∧
(∑' (a : ι), (f a + g a) ^ p) ^ (1 / p) ≤ (∑' (a : ι), f a ^ p) ^ (1 / p) + (∑' (a : ι), g a ^ p) ^ (1 / p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exact NNReal.Lp_add_le_tsum hp hf_sum hg_sum | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib.Analysis.MeanInequalities.681_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are already expressed as `p... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hf : ∀ (i : ι), 0 ≤ f i
hg : ∀ (i : ι), 0 ≤ g i
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
hfA : HasSum (fun i => f i ^ p) (A ^ p)
hgB : HasSum (fun i => g i ^ p) (B ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A + B ∧ HasSum (fun i => (f i + g i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift f to ι → ℝ≥0 using hf | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro
ι : Type u
s : Finset ι
g : ι → ℝ
p q : ℝ
hp : 1 ≤ p
hg : ∀ (i : ι), 0 ≤ g i
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
hgB : HasSum (fun i => g i ^ p) (B ^ p)
f : ι → ℝ≥0
hfA : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (A ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A + B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + g i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift g to ι → ℝ≥0 using hg | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
A B : ℝ
hA : 0 ≤ A
hB : 0 ≤ B
f : ι → ℝ≥0
hfA : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (A ^ p)
g : ι → ℝ≥0
hgB : HasSum (fun i => (fun i => ↑(g i)) i ^ p) (B ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ A + B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift A to ℝ≥0 using hA | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
B : ℝ
hB : 0 ≤ B
f g : ι → ℝ≥0
hgB : HasSum (fun i => (fun i => ↑(g i)) i ^ p) (B ^ p)
A : ℝ≥0
hfA : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (↑A ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A + B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | lift B to ℝ≥0 using hB | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A : ℝ≥0
hfA : HasSum (fun i => (fun i => ↑(f i)) i ^ p) (↑A ^ p)
B : ℝ≥0
hgB : HasSum (fun i => (fun i => ↑(g i)) i ^ p) (↑B ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A + ↑B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | beta_reduce at hfA hgB | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun i => ↑(f i) ^ p) (↑A ^ p)
hgB : HasSum (fun i => ↑(g i) ^ p) (↑B ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A + ↑B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast at hfA hgB | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun a => f a ^ p) (A ^ p)
hgB : HasSum (fun a => g a ^ p) (B ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A + ↑B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | obtain ⟨C, hC₁, hC₂⟩ := NNReal.Lp_add_le_hasSum hp hfA hgB | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case intro.intro.intro.intro.intro.intro
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun a => f a ^ p) (A ^ p)
hgB : HasSum (fun a => g a ^ p) (B ^ p)
C : ℝ≥0
hC₁ : C ≤ A + B
hC₂ : HasSum (fun i => (f i + g i) ^ p) (C ^ p)
⊢ ∃ C, 0 ≤ C ∧ C ≤ ↑A + ↑B ∧ HasSum (fun i => ((fun i => ↑(f... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | use C | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case h
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun a => f a ^ p) (A ^ p)
hgB : HasSum (fun a => g a ^ p) (B ^ p)
C : ℝ≥0
hC₁ : C ≤ A + B
hC₂ : HasSum (fun i => (f i + g i) ^ p) (C ^ p)
⊢ 0 ≤ ↑C ∧ ↑C ≤ ↑A + ↑B ∧ HasSum (fun i => ((fun i => ↑(f i)) i + (fun i => ↑(g i)) i) ^ p) (↑... | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | beta_reduce | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case h
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun a => f a ^ p) (A ^ p)
hgB : HasSum (fun a => g a ^ p) (B ^ p)
C : ℝ≥0
hC₁ : C ≤ A + B
hC₂ : HasSum (fun i => (f i + g i) ^ p) (C ^ p)
⊢ 0 ≤ ↑C ∧ ↑C ≤ ↑A + ↑B ∧ HasSum (fun i => (↑(f i) + ↑(g i)) ^ p) (↑C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | norm_cast | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
case h
ι : Type u
s : Finset ι
p q : ℝ
hp : 1 ≤ p
f g : ι → ℝ≥0
A B : ℝ≥0
hfA : HasSum (fun a => f a ^ p) (A ^ p)
hgB : HasSum (fun a => g a ^ p) (B ^ p)
C : ℝ≥0
hC₁ : C ≤ A + B
hC₂ : HasSum (fun i => (f i + g i) ^ p) (C ^ p)
⊢ 0 ≤ C ∧ C ≤ A + B ∧ HasSum (fun a => (f a + g a) ^ p) (C ^ p) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | exact ⟨zero_le _, hC₁, hC₂⟩ | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib.Analysis.MeanInequalities.710_0.4hD1oATDjTWuML9 | /-- Minkowski inequality: the `L_p` seminorm of the infinite sum of two vectors is less than or
equal to the infinite sum of the `L_p`-seminorms of the summands, if these infinite sums both
exist. A version for `ℝ`-valued functions. For an alternative version, convenient if the infinite
sums are not already expressed a... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, f i ^ p) ^ (1 / p) * (∑ i in s, g i ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | by_cases H : (∑ i in s, f i ^ p) ^ (1 / p) = 0 ∨ (∑ i in s, g i ^ q) ^ (1 / q) = 0 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
case pos
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
H : (∑ i in s, f i ^ p) ^ (1 / p) = 0 ∨ (∑ i in s, g i ^ q) ^ (1 / q) = 0
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, f i ^ p) ^ (1 / p) * (∑ i in s, g i ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | replace H : (∀ i ∈ s, f i = 0) ∨ ∀ i ∈ s, g i = 0 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
case H
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
H : (∑ i in s, f i ^ p) ^ (1 / p) = 0 ∨ (∑ i in s, g i ^ q) ^ (1 / q) = 0
⊢ (∀ i ∈ s, f i = 0) ∨ ∀ i ∈ s, g i = 0 | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simpa [ENNReal.rpow_eq_zero_iff, hpq.pos, hpq.symm.pos, asymm hpq.pos, asymm hpq.symm.pos,
sum_eq_zero_iff_of_nonneg] using H | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
case pos
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
H : (∀ i ∈ s, f i = 0) ∨ ∀ i ∈ s, g i = 0
⊢ ∑ i in s, f i * g i ≤ (∑ i in s, f i ^ p) ^ (1 / p) * (∑ i in s, g i ^ q) ^ (1 / q) | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | have : ∀ i ∈ s, f i * g i = 0 := fun i hi => by cases' H with H H <;> simp [H i hi] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
H : (∀ i ∈ s, f i = 0) ∨ ∀ i ∈ s, g i = 0
i : ι
hi : i ∈ s
⊢ f i * g i = 0 | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | cases' H with H H | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
case inl
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
i : ι
hi : i ∈ s
H : ∀ i ∈ s, f i = 0
⊢ f i * g i = 0 | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp [H i hi] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
case inr
ι : Type u
s : Finset ι
f g : ι → ℝ≥0∞
p q : ℝ
hpq : Real.IsConjugateExponent p q
i : ι
hi : i ∈ s
H : ∀ i ∈ s, g i = 0
⊢ f i * g i = 0 | /-
Copyright (c) 2019 Yury Kudryashov. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Yury Kudryashov, Sébastien Gouëzel, Rémy Degenne
-/
import Mathlib.Analysis.Convex.Jensen
import Mathlib.Analysis.Convex.SpecificFunctions.Basic
import Mathlib.Analysis.SpecialFunctio... | simp [H i hi] | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib.Analysis.MeanInequalities.739_0.4hD1oATDjTWuML9 | /-- Hölder inequality: the scalar product of two functions is bounded by the product of their
`L^p` and `L^q` norms when `p` and `q` are conjugate exponents. Version for sums over finite sets,
with `ℝ≥0∞`-valued functions. -/
theorem inner_le_Lp_mul_Lq (hpq : p.IsConjugateExponent q) :
∑ i in s, f i * g i ≤ (∑ i in... | Mathlib_Analysis_MeanInequalities |
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