Lévy-Prokhorov metric
From Wikipedia, the free encyclopedia
In mathematics, the Lévy-Prokhorov metric (sometimes known just as the Prokhorov metric) is a metric (i.e. a definition of distance) on the collection of probability measures on a given metric space. It is named after the French mathematician Paul Pierre Lévy and the Soviet mathematician Yuri Vasilevich Prokhorov; Prokhorov introduced it in 1956 as a generalization of the earlier Lévy metric.
Contents |
[edit] Definition
Let (M,d) be a metric space with its Borel sigma algebra . Let denote the collection of all probability measures on the measurable space .
For a subset , define the ε-neighborhood of A by
where is the open ball of radius centered at p.
The Lévy-Prokhorov metric is defined by setting the distance between two probability measures μ and ν to be
For probability measures clearly .
Some authors omit one of the two inequalities or choose only open or closed A; either inequality implies the other, but restricting to open/closed sets changes the metric so defined.
[edit] Properties
- Convergence of measures in the Lévy-Prokhorov metric is equivalent to weak convergence of measures. Thus, π is a metrization of the topology of weak convergence.
- The metric space is separable if and only if (M,d) is separable.
- If is complete then (M,d) is complete. If all the measures in have separable support, then the converse implication also holds: if (M,d) is complete then is complete.
- If (M,d) is separable and complete, a subset is relatively compact if and only if its π-closure is π-compact.
[edit] See also
[edit] References
- Billingsley, Patrick (1999). Convergence of Probability Measures. John Wiley & Sons, Inc., New York. ISBN 0-471-19745-9.
- Zolotarev, V.M. (2001), “Lévy–Prokhorov metric”, in Hazewinkel, Michiel, Encyclopaedia of Mathematics, Kluwer Academic Publishers, ISBN 978-1556080104