LeanMachineLearning

MeasureTheory.Measure.memLp_comp_iff🔗

Lemma

No docstring.

🔗theorem
MeasureTheory.Measure.memLp_comp_iff.{u_1, u_2, u_3} {α : Type u_1} {β : Type u_2} {E : Type u_3} { : MeasurableSpace α} { : MeasurableSpace β} [NormedAddCommGroup E] {κ : ProbabilityTheory.Kernel α β} {μ : Measure α} {f : β E} {p : ENNReal} (hp0 : p 0) (hp_top : p ) (hf : AEStronglyMeasurable f (bind μ κ)) : MemLp f p (bind μ κ) (∀ᵐ (x : α) μ, MemLp f p (κ x)) Integrable (fun x => (y : β), f y ^ ENNReal.toReal p κ x) μ
MeasureTheory.Measure.memLp_comp_iff.{u_1, u_2, u_3} {α : Type u_1} {β : Type u_2} {E : Type u_3} { : MeasurableSpace α} { : MeasurableSpace β} [NormedAddCommGroup E] {κ : ProbabilityTheory.Kernel α β} {μ : Measure α} {f : β E} {p : ENNReal} (hp0 : p 0) (hp_top : p ) (hf : AEStronglyMeasurable f (bind μ κ)) : MemLp f p (bind μ κ) (∀ᵐ (x : α) μ, MemLp f p (κ x)) Integrable (fun x => (y : β), f y ^ ENNReal.toReal p κ x) μ

Code

protected lemma Measure.memLp_comp_iff
    {α β E : Type*} {mα : MeasurableSpace α} {mβ : MeasurableSpace β} [NormedAddCommGroup E]
    {κ : Kernel α β} {μ : Measure α} {f : β → E} {p : ℝ≥0∞} (hp0 : p ≠ 0) (hp_top : p ≠ ∞)
    (hf : AEStronglyMeasurable f (κ ∘ₘ μ)) :
    MemLp f p (κ ∘ₘ μ)
      ↔ (∀ᵐ x ∂μ, MemLp f p (κ x)) ∧ Integrable (fun x ↦ ∫ y, ‖f y‖ ^ p.toReal ∂κ x) μ
Proof
by
    rw [← integrable_norm_rpow_iff (by fun_prop) hp0 hp_top, Measure.integrable_comp_iff]
    swap; · exact (hf.norm.aemeasurable.pow_const p.toReal).aestronglyMeasurable
    -- todo extract
    unfold AEStronglyMeasurable at hf
    obtain ⟨g, hg, hfg⟩ := hf
    obtain hfg' := Measure.ae_ae_of_ae_comp hfg
    have hf' : ∀ᵐ ω ∂μ, AEStronglyMeasurable f (κ ω) := by
      filter_upwards [hfg'] with ω hω using ⟨g, hg, hω⟩
    --
    congr! 1
    · suffices ∀ᵐ x ∂μ, Integrable (fun x ↦ ‖f x‖ ^ p.toReal) (κ x) ↔ MemLp f p (κ x) by
        refine ⟨fun h ↦ ?_, fun h ↦ ?_⟩
          <;> filter_upwards [h, this] with x hx h_iff
        · rwa [h_iff] at hx
        · rwa [← h_iff] at hx
      filter_upwards [hf'] with ω hω
      rw [integrable_norm_rpow_iff hω hp0 hp_top]
    · congr! 4 with y
      simp only [Real.norm_eq_abs, abs_eq_self]
      positivity

Actions: Source · Open Issue

New in v4.34.0-rc2-14-gf86702d (2026-08-25), and its meaning has not changed since.

Self-contained, with its dependencies inlined and proofs replaced by sorry: download the raw file · open it in the Lean web editor.

Dependency graph

Nothing to draw. Its statement rests on no other declaration in this project, and names nothing from a package left unaudited — so the graph is this declaration alone. That is the answer, not a missing picture.

Audit surface: 0 project declarations, 49 external constants

✓ Proved: no sorry anywhere in its closure

This is the tool's own reading of one build's recorded axioms, and it is not robust against an author who wants it to pass. Checking meant to be relied on should go through Comparator, which replays the proof through the kernel from an export against an explicit list of permitted axioms.