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Mathlib.MeasureTheory.VectorMeasure.Variation.Basic

Properties of variation #

We prove basic properties of variation for μ : VectorMeasure X V in ENormedAddCommMonoid V on MeasurableSpace X. It is defined as the supremum over partitions {Eᵢ} of E, of the quantity ∑ᵢ, ‖μ(Eᵢ)‖. This definition allows one to define the integral against such vector-valued measures.

Main results #

References #

@[simp]
theorem MeasureTheory.VectorMeasure.variation_apply {X : Type u_1} {V : Type u_2} {mX : MeasurableSpace X} [TopologicalSpace V] [ENormedAddCommMonoid V] [T2Space V] (μ : VectorMeasure X V) (s : Set X) :
μ.variation s = (preVariation (fun (x : Set X) => μ x‖ₑ) ) s
theorem MeasureTheory.VectorMeasure.le_variation {X : Type u_1} {V : Type u_2} {mX : MeasurableSpace X} [TopologicalSpace V] [ENormedAddCommMonoid V] [T2Space V] (μ : VectorMeasure X V) {s : Set X} (hs : MeasurableSet s) {P : Finset (Set X)} (hP₁ : tP, t s) (hP₂ : (↑P).PairwiseDisjoint id) :
pP, μ p‖ₑ μ.variation s

Measure version of sum_le_preVariationFun_of_subset.