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 #
MeasureTheory.FiniteMeasure.instMeasurableSingletonClassMeasureTheory.ProbabilityMeasure.instMeasurableSingletonClassMeasureTheory.Measure.sum_singleton_eq_one
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.