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Mathlib.MeasureTheory.Group.Convolution

The multiplicative and additive convolution of measures #

In this file we define and prove properties about the convolutions of two measures.

Main definitions #

Multiplicative convolution of measures.

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    Additive convolution of measures.

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      Scoped notation for the multiplicative convolution of measures.

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        Scoped notation for the additive convolution of measures.

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          @[simp]

          Convolution of the dirac measure at 1 with a measure μ returns μ.

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          Convolution of a measure μ with the dirac measure at 1 returns μ.

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          Convolution of the zero measure with a measure μ returns the zero measure.

          @[simp]
          theorem MeasureTheory.Measure.zero_mconv {M : Type u_1} [Monoid M] [MeasurableSpace M] (μ : MeasureTheory.Measure M) :
          μ.mconv 0 = 0

          Convolution of a measure μ with the zero measure returns the zero measure.

          @[simp]
          theorem MeasureTheory.Measure.mconv_add {M : Type u_1} [Monoid M] [MeasurableSpace M] [MeasurableMul₂ M] (μ ν ρ : MeasureTheory.Measure M) [MeasureTheory.SFinite μ] [MeasureTheory.SFinite ν] [MeasureTheory.SFinite ρ] :
          μ.mconv (ν + ρ) = μ.mconv ν + μ.mconv ρ
          theorem MeasureTheory.Measure.add_mconv {M : Type u_1} [Monoid M] [MeasurableSpace M] [MeasurableMul₂ M] (μ ν ρ : MeasureTheory.Measure M) [MeasureTheory.SFinite μ] [MeasureTheory.SFinite ν] [MeasureTheory.SFinite ρ] :
          (μ + ν).mconv ρ = μ.mconv ρ + ν.mconv ρ

          To get commutativity, we need the underlying multiplication to be commutative.

          Convolution of SFinite maps is SFinite.

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