Realizing a probability law by a map from the unit interval #
Every standard Borel probability space (Ω, μ) receives a measure-preserving map from
(I, volume): there is f : I → Ω with volume.map f = μ. This is Theorem A.9 of Janson's
Graphons, cut norm and distance, couplings and rearrangements.
Atoms are allowed. No atomless hypothesis appears, and none is needed: the statement is an
existence claim about a map into Ω, not a bijection, so a law concentrated on finitely many
points is realized by a step function on I. The regressions below pin this down at a Dirac mass,
at a finite mixture, and at a mixture of an atom with a continuous part — the cases where an
atomless reading of the theorem would fail.
This is the transport underlying the Layer 5 identification of coupling cut distance with the classical measure-preserving-map infimum: every coupling, being itself standard Borel, is realized by a pair of such maps. That identification is not proved here.
Main results #
MeasureTheory.Measure.exists_measurePreserving_from_unitInterval— a measure-preservingf : I → Ωrealizing any standard-Borel probability law.
Implementation #
Mathlib's MeasureTheory.Measure.exists_measurable_map_eq already supplies the function and the
pushforward identity; the content here is packaging them as MeasurePreserving, which is
definitionally that pair. Mathlib states it with [Nonempty Ω], which is not carried here: a
probability measure on Ω already forces Ω to be nonempty, and
nonempty_of_isProbabilityMeasure supplies the instance inside the proof.
References #
- S. Janson, Graphons, cut norm and distance, couplings and rearrangements, NYJM Monographs 4 (2013), Theorem A.9.
- Roadmap:
TauCetiRoadmap/DenseGraphLimits/README.md, Layer 5 — the(I, volume)transport target. The atomless mod-null equivalenceexists_mpModNull_equiv_unitIntervaland the map formcutDistPullbackare separate targets and are not built here.
Janson A.9. Every standard Borel probability space receives a measure-preserving map from the unit interval with Lebesgue measure.
No atomless hypothesis is needed: μ may be a Dirac mass, a finite mixture, or a mixture of atoms
with a continuous part.
Regressions: the atomic cases #
exists_measurePreserving_from_unitInterval is stated without an atomless hypothesis. These three
instantiations are what that buys, and they fail for any formulation that quietly assumes μ has
no atoms.