Can a Set Be Measurable if Its Measure is Less Than the Sum of Its Parts?

In summary: Lebesgue Outer Measure"In summary, the Lebesgue outer measure is not a measure for non-measurable sets.
  • #1
Thorn
23
0
I was told that you can find a disjoint sequence of sets...say {Ei} such that

m*(U Ei) < Σ m*(Ei).. That is the measure of the union of all these sets is less than the sum of the individual measure of each set... This is obvious if the sets aren't disjoint...But can someone give me an example of this? Thanks.
 
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  • #2
Is m* Lebesgue outer measure? If so you will need to use nonmeasurable sets, because equality always holds for measurable sets.
 
  • #3
yeah... m* is the Lebesgue outer measure. So, you can say things like m*(E) when E isn't even measurable!? I didn't think m would be defined from a non measurable set...
 
  • #4
That's the point of using outer measure: it's defined for every subset of R.
 
  • #5
Yeah, it doesn't make much sense to talk about the measure of a non-measureable set. You could come up with ways to interpret the inequality in that case, but the result would be pretty vacuous, unless I'm missing something.

I'd always understood sigma-additivity (i.e., sum of a the measures of a countable set of disjoint subsets = the measure of the union of the subsets) to be part of the definition of any measure.
 
  • #6
So I take it, then there isn't an example of this...even for non-measurable sets..?
 
  • #7
quadraphonics said:
Yeah, it doesn't make much sense to talk about the measure of a non-measureable set. You could come up with ways to interpret the inequality in that case, but the result would be pretty vacuous, unless I'm missing something.

I'd always understood sigma-additivity (i.e., sum of a the measures of a countable set of disjoint subsets = the measure of the union of the subsets) to be part of the definition of any measure.
The Lebesgue outer measure is not a measure for this very reason.
 
  • #8
Ha...well then it seems that EVERY non measurable set would be an example of

m*(U Ei) < Σ m*(Ei)..
 
  • #9
What do you mean? What are you taking as your disjoint sets?
 
  • #10
Ha...well then it seems that EVERY non measurable set would be an example of

m*(U Ei) < Σ m*(Ei)..
Be careful, as morphism is saying, what you are talking about is the outer measure, NOT the measure. A non measurable set still has outer measure.

In any case, have you looked at the Vitali non measurable set? You may be able to construct an example if you consider that.
 
  • #11
Like someone mentioned above, the set E has to be non lebesgue measurable. Proof by contradiction. Remember that m* is the outer measure, while m is the Lebesgue measure (by assumption). Assume that U= disjoint union of (E_i) such that m*(U)<sum_i(m*E_i). Assuming U is measurable, m(U)=m*(U). Since the set of all measurable sets of R is a sigma algebra, you can easily prove that each E_i must belong to the sigma algebra and are therefore measurable. For each i, then m*(E_i)=m(E_i).Thus you have m(U)< sum_i(m(E_i)), which violates one of the major property of measure (not outer measure though). So U must not be measurable.

Now, back to your question, it's hard to visualize non measurable subset of R. In fact "m(U)< sum_i(m(E_i))" is the property that was used to construct a non measurable subset of R by using R/Q.

Vignon S. Oussa
 

1. What is Measure Theory?

Measure Theory is a branch of mathematics that deals with the study of measures, which are mathematical functions that assign a value to a set in order to quantify its size or volume. It is used in various fields such as probability, statistics, and analysis to provide a rigorous foundation for concepts like length, area, and volume.

2. Why is Measure Theory important?

Measure Theory is important because it provides a precise and rigorous framework for measuring sets and their properties. It allows for the development of powerful mathematical tools and techniques that are used in various fields, including physics, economics, and computer science.

3. What are some applications of Measure Theory?

Measure Theory has many applications in different areas of mathematics, including probability theory, functional analysis, and differential equations. It is also used in the development of algorithms for data analysis and optimization problems in computer science and engineering.

4. What are the basic concepts in Measure Theory?

Some of the basic concepts in Measure Theory include measures, measurable sets, and integration. Measures are functions that assign a value to sets, measurable sets are those that can be assigned a measure, and integration is the process of calculating the measure of a set. Other important concepts include sigma-algebras, sigma-finite measures, and Lebesgue measure.

5. What is the difference between Lebesgue measure and Riemann integral?

The main difference between Lebesgue measure and Riemann integral is the way they handle the concept of "size". Lebesgue measure assigns a measure to a set based on its length, area, or volume, while Riemann integral calculates the area under a curve. Lebesgue measure is more general and can be applied to a wider class of sets, while Riemann integral is limited to continuous functions on closed intervals.

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