Criteria for Lp membership
TheoremLebesgue integrals over truncations of a set#✓fully proved
Let \(\lambda\) be Lebesgue measure on \(\mathbb{R}\), let \(S \subseteq \mathbb{R}\) be measurable, and let \(g : \mathbb{R} \to [0, \infty]\) be measurable. Then
This is monotone convergence applied to the indicators of the truncations.
theorem lintegral_eq_iSup_lintegral_Icc_inter
(S : Set ℝ) (hS : MeasurableSet S) (g : ℝ → ℝ≥0∞) (hg : Measurable g) :
∫⁻ x in S, g x ∂volume =
⨆ n : ℕ, ∫⁻ x in (Set.Icc (-(n : ℝ)) n) ∩ S, g x ∂volume
Used by 1
TheoremCharacterization of \(L^p\) membership via truncated integrals#✓fully proved
Let \(\lambda\) be Lebesgue measure on \(\mathbb{R}\), let \(F\) be a second-countable normed additive commutative group with its Borel \(\sigma\)-algebra, let \(0 < p < \infty\), let \(S \subseteq \mathbb{R}\) be measurable, and let \(f : \mathbb{R} \to F\) be measurable. Then \(f\) belongs to \(L^p\) of \(\lambda\) restricted to \(S\) if and only if
where the integrals are taken in \([0, \infty]\).
theorem memLp_iff_iSup_lintegral_Icc_inter_lt_top
{F : Type*} [NormedAddCommGroup F] [MeasurableSpace F] [BorelSpace F]
[SecondCountableTopology F]
{p : ℝ≥0∞} (hp_ne_zero : p ≠ 0) (hp_ne_top : p ≠ ⊤)
(S : Set ℝ) (hS : MeasurableSet S) {f : ℝ → F} (hf : Measurable f) :
MemLp f p (volume.restrict S) ↔
⨆ n : ℕ, ∫⁻ x in (Set.Icc (-(n : ℝ)) n) ∩ S, (‖f x‖ₑ) ^ p.toReal ∂volume < ⊤
Uses 1
TheoremPolynomial decay implies \(L^p\) membership#✓fully proved
Let \(E\) be a normed additive commutative group and let \(f : \mathbb{R} \to E\) be almost everywhere strongly measurable. Suppose there are real numbers \(C \ge 0\) and \(q > 1\) such that \(\|f(x)\| \le C (1 + |x|)^{-q}\) for almost every \(x \in \mathbb{R}\). Then \(f \in L^p(\mathbb{R})\), with respect to Lebesgue measure, for every \(p \in [1, \infty]\).
theorem memLp_of_polynomial_decay_ae
{E : Type*} [NormedAddCommGroup E]
{f : ℝ → E} (hf_meas : AEStronglyMeasurable f volume)
{C : ℝ} (hC : 0 ≤ C) {q : ℝ} (hq : 1 < q)
(hbound : ∀ᵐ x : ℝ ∂volume, ‖f x‖ ≤ C * (1 + |x|) ^ (-q))
{p : ℝ≥0∞} (hp : 1 ≤ p) :
MemLp f p volume
Used by 1
TheoremPointwise polynomial decay implies \(L^p\) membership#✓fully proved
Let \(E\) be a normed additive commutative group and let \(f : \mathbb{R} \to E\) be almost everywhere strongly measurable. Suppose there are real numbers \(C \ge 0\) and \(q > 1\) such that \(\|f(x)\| \le C (1 + |x|)^{-q}\) for every \(x \in \mathbb{R}\). Then \(f \in L^p(\mathbb{R})\), with respect to Lebesgue measure, for every \(p \in [1, \infty]\).
theorem memLp_of_polynomial_decay
{E : Type*} [NormedAddCommGroup E]
{f : ℝ → E} (hf_meas : AEStronglyMeasurable f volume)
{C : ℝ} (hC : 0 ≤ C) {q : ℝ} (hq : 1 < q)
(hbound : ∀ x : ℝ, ‖f x‖ ≤ C * (1 + |x|) ^ (-q))
{p : ℝ≥0∞} (hp : 1 ≤ p) :
MemLp f p volume
Uses 1
DefinitionPartitions of the unit interval#✓fully proved
For a natural number \(n\), real numbers \(t_0, t_1, \dots, t_n\) form a partition of \([0, 1]\) when \(0 = t_0 < t_1 < \dots < t_n = 1\).
def IsPartition01 {n : ℕ} (t : Fin (n + 1) → ℝ) : Prop :=
t 0 = 0 ∧ t (Fin.last n) = 1 ∧ StrictMono t
Used by 1
DefinitionPartition average sum#✓fully proved
For a function \(f : \mathbb{R} \to \mathbb{R}\), a real number \(p\) and real numbers \(t_0, t_1, \dots, t_n\), the partition average sum is
where the integrals are Lebesgue integrals over the closed intervals \([t_i, t_{i+1}]\) (empty when \(t_{i+1} < t_i\)), the integral of a function that is not integrable there counts as \(0\), \(1/0 = 0\), and \(0^p\) is taken to be \(1\) when \(p = 0\) and \(0\) when \(p \ne 0\).
def partitionAverageSum (f : ℝ → ℝ) (p : ℝ) {n : ℕ} (t : Fin (n + 1) → ℝ) : ℝ :=
∑ i : Fin n,
let a := t i.castSucc
let b := t i.succ
(b - a) * Real.rpow ((1 / (b - a)) * ∫ x in Set.Icc a b, |f x|) p
Used by 1
Theorem\(L^p\) on \((0,1)\) via averages over partitions#●ready to prove
Let \(f : \mathbb{R} \to \mathbb{R}\) be in \(L^1([0, 1])\) and let \(p > 1\) be a real number. Then \(f \in L^p([0, 1])\) if and only if there is a real number \(C\) such that
for every partition \(0 = t_0 < t_1 < \dots < t_n = 1\) of \([0, 1]\). Here \(L^1([0, 1])\) and \(L^p([0, 1])\) are taken with respect to Lebesgue measure restricted to \([0, 1]\).
public theorem_wanted memLp_iff_bddAbove_partitionAverageSum
(f : ℝ → ℝ) (p : ℝ)
(hp : 1 < p)
(hf_L1 : MemLp f 1 (volume.restrict (Set.Icc (0 : ℝ) 1))) :
MemLp f (ENNReal.ofReal p) (volume.restrict (Set.Icc (0 : ℝ) 1)) ↔
∃ C : ℝ, ∀ n : ℕ, ∀ t : Fin (n + 1) → ℝ,
IsPartition01 t →
partitionAverageSum f p t ≤ C
def IsPartition01 {n : ℕ} (t : Fin (n + 1) → ℝ) : Prop :=
t 0 = 0 ∧ t (Fin.last n) = 1 ∧ StrictMono t
WantedExt/MeasureTheory/LpCharacterizationPartitionAveragesWanted.lean:49
def partitionAverageSum (f : ℝ → ℝ) (p : ℝ) {n : ℕ} (t : Fin (n + 1) → ℝ) : ℝ :=
∑ i : Fin n,
let a := t i.castSucc
let b := t i.succ
(b - a) * Real.rpow ((1 / (b - a)) * ∫ x in Set.Icc a b, |f x|) p
WantedExt/MeasureTheory/LpCharacterizationPartitionAveragesWanted.lean:54
Sources
- MA-ProofBench (L. Pu et al., arXiv:2606.13782), Level II (Measure and integration; Classical measure theory), problem
ma_proofbench_l2_02.
Uses 2
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