Convex combinations of probability measures #
ProbabilityMeasure α carries no addition and no scalar action: it is a subtype of Measure α,
and neither P + Q nor c • P is a probability measure. What it does carry is a convex structure,
and this file names it. For weights a + b = 1, a • P + b • Q is again a probability measure, and
ProbabilityMeasure.convexComb is that combination, bundled.
Naming the bundled combination is what lets a statement about a map out of ProbabilityMeasure α
say "affine" without coercing to Measure α and rebuilding the probability-measure structure at
every step.
Main results #
TauCeti.MeasureTheory.isProbabilityMeasure_smul_add_smul— the unbundled fact about total mass, the prerequisite for the bundling.MeasureTheory.ProbabilityMeasure.convexComb— the bundled combination, characterized byMeasureTheory.ProbabilityMeasure.toMeasure_convexComb.
convexComb and toMeasure_convexComb are declared in the root
MeasureTheory.ProbabilityMeasure namespace rather than under TauCeti, since the type is
Mathlib's; that is what lets P.convexComb hab Q be written as dot notation, generalized field
notation inserting P at the first explicit ProbabilityMeasure argument whatever the weight
hypothesis's position. The prerequisite isProbabilityMeasure_smul_add_smul is about Measure,
not ProbabilityMeasure, and stays under TauCeti.MeasureTheory.
A convex combination of probability measures is a probability measure. The weights are
arbitrary elements of ℝ≥0∞ summing to 1; no separate nonnegativity condition is needed, since
ℝ≥0∞ has none to impose.
The bundled combination #
ProbabilityMeasure is Mathlib's type, so its namespace is Mathlib's: the definition and its
characteristic lemma sit in the root MeasureTheory.ProbabilityMeasure, not under TauCeti, which
is what makes P.convexComb hab Q elaborate as dot notation.
The convex combination a • P + b • Q of two probability measures, for weights summing
to 1, bundled as a ProbabilityMeasure. Its underlying measure is toMeasure_convexComb.
Instances For
The underlying measure of a convex combination is the combination of the underlying measures.