Additive Measure Functions
Concept
A measure function is additive, if the measure of a set is equal to the measure of its finitely many subsets
A measure function is
Definition
Additive
The measure function
- Let there be a set
that is a finite union of disjoint sets with . Then
Sigma-Additive
The measure function
- Let there be a set
that is a union of possibly infinitely many disjoint sets with . Then
Additional Properties
The additive measure of a subset is less or equal to its superset
Examples
The Discrete Measure
Let there be
- a set:
- a class of subsets of Omega:
- a family of points:
, - a sequence of non-negative numbers:
.
Then we define the discrete measure function as follows:
with
Then without giving the proof,
A non-sigma-additive Measure Function
Let there be
- a set:
- a class of subsets of Omega:
Then we define the measure function as follows:
The measure is additive
If the measure was additive, the following would hold:
To proof this, let there be an element
We can write
Now, there are two cases.
-
Let
. Then, we have that . Because there are finitely many , one must contain with . Otherwise, we could always find an but . Therefore -
Let
. Then, we have that . Note that we can writeSince the intervals are closed on one and open on the other side, (almost) each
must occur in exactly two sets , otherwise we could find an that belongs to but not to the finite union. An exception to this rule are and which belong only to a single set, the first and the last respectively. Since all other belong to two sets, they cancel out, we can write
The measure is not sigma-additive
Let us consider the interval
We can now write the interval as an infinite union of disjoint sets as follows:
Then by definition of the measure:
And
In fact, we can write
And this would be equal to
All terms except the last one,
Appendix
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