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Mathlib.MeasureTheory.Measure.WithDensityVectorMeasure

Vector measure defined by an integral #

Given a measure μ and an integrable function f : α → E, we can define a vector measure v such that for all measurable set s, v i = ∫ x in s, f x ∂μ. This definition is useful for the Radon-Nikodym theorem for signed measures.

Main definitions #

Given a measure μ and an integrable function f, μ.withDensityᵥ f is the vector measure which maps the set s to ∫ₛ f ∂μ.

Equations
  • One or more equations did not get rendered due to their size.
Instances For
    theorem MeasureTheory.withDensityᵥ_apply {α : Type u_1} {m : MeasurableSpace α} {μ : MeasureTheory.Measure α} {E : Type u_3} [NormedAddCommGroup E] [NormedSpace E] {f : αE} (hf : MeasureTheory.Integrable f) {s : Set α} (hs : MeasurableSet s) :
    (MeasureTheory.Measure.withDensityᵥ μ f) s = ∫ (x : α) in s, f xμ
    theorem MeasureTheory.withDensityᵥ_smul' {α : Type u_1} {m : MeasurableSpace α} {μ : MeasureTheory.Measure α} {E : Type u_3} [NormedAddCommGroup E] [NormedSpace E] {𝕜 : Type u_4} [NontriviallyNormedField 𝕜] [NormedSpace 𝕜 E] [SMulCommClass 𝕜 E] (f : αE) (r : 𝕜) :
    theorem MeasureTheory.withDensityᵥ_smul_eq_withDensityᵥ_withDensity' {α : Type u_1} {m : MeasurableSpace α} {μ : MeasureTheory.Measure α} {E : Type u_3} [NormedAddCommGroup E] [NormedSpace E] {f : αENNReal} {g : αE} (hf : AEMeasurable f) (hflt : ∀ᵐ (x : α) ∂μ, f x < ) (hfg : MeasureTheory.Integrable fun (x : α) => ENNReal.toReal (f x) g x) :

    Having the same density implies the underlying functions are equal almost everywhere.

    theorem MeasureTheory.Integrable.withDensityᵥ_trim_eq_integral {α : Type u_1} {m : MeasurableSpace α} {m0 : MeasurableSpace α} {μ : MeasureTheory.Measure α} (hm : m m0) {f : α} (hf : MeasureTheory.Integrable f) {i : Set α} (hi : MeasurableSet i) :
    (MeasureTheory.VectorMeasure.trim (MeasureTheory.Measure.withDensityᵥ μ f) hm) i = ∫ (x : α) in i, f xμ