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In the mathematical discipline of measure theory, the intensity of a measure is the average value the measure assigns to an interval of length one.


Definition

Let \mu be a measure on the real numbers. Then the intensity \overline \mu of \mu is defined as : \overline \mu:= \lim_ \frac if the limit exists and is independent of s for all s \in \R .


Example

Look at the
Lebesgue measure In measure theory, a branch of mathematics, the Lebesgue measure, named after French mathematician Henri Lebesgue, is the standard way of assigning a measure to subsets of ''n''-dimensional Euclidean space. For ''n'' = 1, 2, or 3, it coincides ...
\lambda . Then for a fixed s , it is : \lambda((-s,t-s])=(t-s)-(-s)=t, so : \overline \lambda:= \lim_ \frac= \lim_ \frac t t =1. Therefore the Lebesgue measure has intensity one.


Properties

The set of all measures M for which the intensity is well defined is a measurable subset of the set of all measures on \R . The mapping : I \colon M \to \mathbb R defined by : I(\mu) = \overline \mu is Measurable function, measurable.


References

*{{cite book , last1=Kallenberg , first1=Olav , author-link1=Olav Kallenberg , year=2017 , title=Random Measures, Theory and Applications, series=Probability Theory and Stochastic Modelling , volume=77 , location= Switzerland , publisher=Springer , doi= 10.1007/978-3-319-41598-7, page=173, isbn=978-3-319-41596-3 Measure theory