Documentation

TauCeti.MeasureTheory.Measure.FiniteMeasure

Finite measures #

When the underlying σ-algebra is countably generated, singletons are measurable in FiniteMeasure α and in ProbabilityMeasure α.

On a finite measurable space, a probability measure is the sum of its singleton masses.

Main results #

Implementation #

The statement is really about finite measures; the probability-measure form is the subtype corollary. Countable generation is exactly what the proof consumes — StandardBorelSpace α implies it, but is stronger than needed.

A countable generating family need not be closed under intersection, so it is replaced by the set algebra it generates (MeasureTheory.generateSetAlgebra), which is still countable, is a π-system, and generates the same σ-algebra. A finite measure is then pinned down by its values there (ext_of_generate_finite, with Set.univ supplied by the algebra), so {μ} is the countable intersection of the equalizers {ν | ν s = μ s}. Each equalizer is measurable because evaluation at a fixed measurable set is.

Singletons are measurable in the space of finite measures, when the σ-algebra on α is countably generated.

Singletons are measurable in the space of probability measures whenever they are measurable in the space of finite measures, as they are when the σ-algebra on α is countably generated (FiniteMeasure.instMeasurableSingletonClass).

The singleton masses of a probability measure on a finite measurable space sum to one.