Math4121 Lecture 26
Lebesgue Measure
Lebesgue’s Integration
Partition on the y-axis, let be the minimum of on the -axis, be the maximum of on the -axis.
Define
Defined the characteristic function of set is if and otherwise.
Then lies between the following simple functions:
This representation allows us to measure some weird sets on the -axis by constraining the -axis.
This is still kind of Riemann sum, but can be very weird (not just intervals).
If we can “measure” each , then we could define the integral of by
If we used Jordan content, for here, this is just a different perspective of Riemann integral.
If we use Borel measure maybe things would be different (perhaps, better)?
As we discussed last time, this limits the measurable sets significantly.
Nonetheless, let’s try
- Characteristic function of the rational numbers
Take partition
So, , here means the measure we used.
As is arbitrary, we have .
This shows that for any measurable set .
Lebesgue’s Measure
Definition of Lebesgue measure
Outer Measure:
Given , let be the collection of all countable covers of by open intervals.
where is the Borel measure.
Recall such are Boreal measurable because open interval are in and (being a sigma algebra) is closed under countable unions.
Properties:
- Translation invariant:
- Countable additivity: if
Notice we don’t have the difference property here.