Prokhorov compactness lemmas for sequences of measures #
This file contains generic consequences of Mathlib's Prokhorov compactness theorem. For finite measures, tightness and a uniform mass bound give a weak cluster limit without a real-line support condition or normalization step. For probability measures on a Polish space, a weakly convergent sequence is tight.
Main declarations #
TauCeti.finite_measure_cluster_limit: a tight, mass-bounded sequence of finite measures has a weak cluster limit along an ultrafilter belowatTop.TauCeti.finite_measure_subseq_limit: the corresponding subsequence form when the weak topology onFiniteMeasure αis first-countable.TauCeti.isTightMeasureSet_range_of_tendsto: a weakly convergent sequence of probability measures on a Polish space is tight.
References #
- Roadmap:
TauCetiRoadmap/OneParameterSemigroups/README.md, Part B (Bernstein theorem milestone). - Roadmap:
TauCetiRoadmap/OptimalTransport/README.md, Layer 1, item 6 (stability).
A tight, uniformly mass-bounded sequence of finite measures has a weak cluster limit.
Given tightness of the sequence and a common total-mass bound, the conclusion is a finite limiting
measure with the same mass bound and weak convergence of all bounded-continuous test-function
integrals along an ultrafilter U ≤ atTop; no first-countability assumption on FiniteMeasure α
is needed.
Sequential form of finite_measure_cluster_limit when FiniteMeasure α is first-countable.
A weakly convergent sequence of probability measures on a Polish space is tight.