Prokhorov Metric - Understanding the Definition

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SUMMARY

The Prokhorov Metric is defined using the open epsilon neighborhood around a point y, which is derived from the underlying metric space where the random variable takes values. The confusion arises from the distinction between y, which belongs to the underlying metric space, and x, which is taken from a subset of the Borel sigma field, specifically the image space. The subsequent definition states that P(A) is less than Q(A(epsilon) + epsilon), which further complicates the understanding of the metric's application in probability theory.

PREREQUISITES
  • Understanding of Borel sigma fields
  • Familiarity with metric spaces
  • Knowledge of probability measures
  • Basic concepts of random variables
NEXT STEPS
  • Study the properties of Borel measures in relation to metric spaces
  • Explore the implications of the Prokhorov Metric in probability theory
  • Review the concepts of convergence in distribution and its relation to the Prokhorov Metric
  • Examine the document at http://people.math.sfu.ca/~tupper/PUBLICATIONS/sde.pdf for deeper insights
USEFUL FOR

Mathematicians, statisticians, and students studying probability theory, particularly those interested in the application and implications of the Prokhorov Metric in understanding convergence of probability measures.

peter.a
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Homework Statement



I am wondering if anyone understands why this metric is defined the way it is because i can't seem to make sennse of it.

I get that way we use the underlying metric space to define the borel sigma field and then the set of all borel measures, but the actual definition of the metric has me confused.

As per definition we take the open epsilon neighbourhood around a point y. The point y is taken from the set in the underlying metric space ie where the random variable takes values. Then using the metric from this space we want the distance between x and y to be less then epsilon.

I can't understand why y is taken from the underlying metric space and the x is taken from a subset of the borel sigma field, ie the image space. And i can't understand the next bit either which is the subsequent definition for the actual metric ie

P(A)<Q(A(epsilon)+epsilon

Homework Equations





The Attempt at a Solution

 
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peter.a said:

Homework Statement



I am wondering if anyone understands why this metric is defined the way it is because i can't seem to make sennse of it.

I get that way we use the underlying metric space to define the borel sigma field and then the set of all borel measures, but the actual definition of the metric has me confused.

As per definition we take the open epsilon neighbourhood around a point y. The point y is taken from the set in the underlying metric space ie where the random variable takes values. Then using the metric from this space we want the distance between x and y to be less then epsilon.

I can't understand why y is taken from the underlying metric space and the x is taken from a subset of the borel sigma field, ie the image space. And i can't understand the next bit either which is the subsequent definition for the actual metric ie

P(A)<Q(A(epsilon)+epsilon

Homework Equations





The Attempt at a Solution



Have you looked at http://people.math.sfu.ca/~tupper/PUBLICATIONS/sde.pdf ?

RGV
 
I have already read that and most other content on the web relating to the prokhorov metric.
 

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