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TauCeti.MeasureTheory.VectorMeasure.Variation.Regular

Finiteness and regularity of the variation of sums, scalar multiples and densities #

The variation |μ| of a vector measure is subadditive, |μ + ν| ≤ |μ| + |ν| and |μ - ν| ≤ |μ| + |ν|, and homogeneous, |c • μ| = ‖c‖ • |μ|. Finiteness of the variation therefore passes to sums and differences.

Regularity passes too, on an R₁ space with its Borel σ-algebra, for example a compact Hausdorff space. If |μ| and |ν| are finite and regular, then so is |μ| + |ν|. The variation of μ + ν or μ - ν is dominated by it, hence absolutely continuous with respect to it, and is therefore regular by MeasureTheory.Measure.AbsolutelyContinuous.regular. Regularity of |c • μ| needs no hypothesis on the space. The variation of a vector measure with density μ.withDensity g B is finite and absolutely continuous with respect to |μ|, so it is regular whenever |μ| is finite and regular. For scalar measures this is the weighted measure g · μ. These are the closure properties used for scalar measures of finite regular variation, which are the dual of the space of continuous functions on a compact Hausdorff space and arise by polarizing positive measures.

Main results #

References #

The sum of two vector measures of finite variation has finite variation.

On an R₁ space with its Borel σ-algebra, the sum of two vector measures of finite regular variation has regular variation.

The difference of two vector measures of finite variation has finite variation.

A scalar multiple of a vector measure of regular variation has regular variation.

On an R₁ space with its Borel σ-algebra, the difference of two vector measures of finite regular variation has regular variation.

On an R₁ space with its Borel σ-algebra, a vector measure with density with respect to a vector measure of finite regular variation has regular variation.