Equivalence of Lebesgue Measurability

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In summary: Assume that E is the union of an Fσ set F and a null set N. This means that E=F∪N. Since F is an Fσ set, we can write F as a countable union of closed sets F1,F2,.... So, we have E=F1∪F2∪⋯∪N. This is the same as saying that E is the union of a countable number of countable intersections of open sets (since each Fi is a countable intersection of open sets). Therefore, E is a Gδ set. However, we need to show that E has a null set removed. This is easy to see, since N is a null set (
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jamilmalik
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Homework Statement



Hello Physics Forums Community. I am having some difficulties with the following problem dealing with Lebesgue Measure and its equivalent interpretation. I will first include the definitions which I am using and then the problem statement, they are coming straight from Terrence Tao's Introduction to Measure Theory book which is available for free online (Link provided at the end of this post).

Let ##E \subset \mathbb{R^d}##. Show that the following are equivalent:

1. ##E## is Lebesgue measurable.
2. ##E## is a ##G_{\delta}## set with a null set removed.
3. ##E## is the union of a ##F_{\sigma}## set and a null set.

Homework Equations



A set ##E \subset \mathbb{R^d}## is said to be Lebesgue measurable if, for every ##\epsilon >0##, there exists an open set ##U \subset \mathbb{R^d}## containing ##E## such that ##m^*(U \setminus E) \leq \epsilon##.

Define a ##G_{\delta}## set to be a countable intersection ##\displaystyle \bigcap_{n=1}^{\infty} U_n## of open sets.

Define a ##F_{\sigma}## set to be a countable union ##\displaystyle \bigcup_{n=1}^{\infty}F_n## of closed sets.

The Attempt at a Solution



This is what I have so far:

Assume that ##E## has finite measure. Let ##U## be a ##G_{\delta}## set. By definition, we have ##U=\displaystyle \bigcap_{n=1}^{\infty} U_n##. Using De Morgan's Laws, ##E \setminus \bigcap_{n=1}^{\infty} U_n## = ##\displaystyle \bigcup_{n=1}^{\infty} \left( E \setminus U_n \right)## which is a closed set since its complement was open, by definition. Therefore, ##\displaystyle \bigcup_{n=1}^{\infty} \left( E \setminus U_n \right)## is a countable union of closed sets which is the definition of a ##F_{\sigma}## set. Although this shows a relationship between the ##G_{\delta}## sets and the ##F_{\sigma}## sets, I don't know how to include the condition of the null set removed or added as well as connect to the Lebesgue measure.

This first approach didn't seem so promising as I do not think that it was leading to anything useful. Here is another approach which I believe has a more promising direction, but I am getting stuck in completing the proof.

Given that ##E## is measurable, for any ##n \in \mathbb{N}##, then there exists an open set ##U_n \supset E## such that ##m(U_n \setminus E) \leq \frac{1}{n}##.
If the quantity ##m(\cap_{n=1}^{\infty}U_n \setminus E)## is less than or equal to ##\frac{1}{k}## for each ##k \in \mathbb{N}##, then

##m(\cap_{n=1}^\infty U_n \setminus E) \leq m(\cap_{n=1}^k U_n \setminus E) \leq m(U_k \setminus E) \leq \frac{1}{k}##. If I let ##\epsilon = \frac{1}{k}##, then isn't this equivalent to the definition of Lebesgue measurability above? In other words, if I let by ##G_{\delta}## set to be ##\cap_{n=1}^{\infty}U_n##, then doesn't the implication ##1 \Rightarrow 2## follow?
As for the other implications, I do not know how to start.

I would greatly appreciate any help that I can receive on this problem since I cannot seem to proceed in the right direction. Thanks in advance.

Here is the link for the free version of the textbook:
http://terrytao.files.wordpress.com/2011/01/measure-book1.pdf
 
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  • #2


Hello there! It looks like you are having some difficulty with this problem. I am happy to help you work through this and provide some guidance.

First, let's review the definitions provided. A set E is said to be Lebesgue measurable if, for every ε>0, there exists an open set U⊂Rd containing E such that m*(U∖E)≤ε. This definition essentially means that E can be "approximated" by open sets with arbitrarily small measure.

Next, we have the definitions of Gδ and Fσ sets. A Gδ set is a countable intersection of open sets, while an Fσ set is a countable union of closed sets. These definitions are important because they allow us to express sets in terms of "simpler" sets (open and closed sets are often easier to work with).

Now, let's look at the three statements that we need to show are equivalent.

1. E is Lebesgue measurable.
2. E is a Gδ set with a null set removed.
3. E is the union of an Fσ set and a null set.

To show that these statements are equivalent, we need to show that each one implies the other two. Let's start with statement 1.

Assume that E is Lebesgue measurable. This means that for every ε>0, there exists an open set U⊂Rd containing E such that m*(U∖E)≤ε. We can also write this as m*(E∪(U∖E))≤ε. Now, let's define a set F=E∪(U∖E). F is an Fσ set (since it is the union of E and an open set, which is a countable union of closed sets). However, we need to show that F is also a null set. This means that m*(F)=0.

To show this, we can use the fact that m*(E∪F)=m*(E)+m*(F). Since m*(E∪F)≤ε and m*(E)=0 (since E is measurable), we have m*(F)≤ε. Since ε was arbitrary, this means that m*(F)=0, and therefore F is a null set. This shows that statement 1 implies statement 3.

Now, let's show that statement 3
 

Related to Equivalence of Lebesgue Measurability

1. What is the definition of Lebesgue measurability?

Lebesgue measurability is a concept in measure theory that describes the property of a set to be measurable with respect to the Lebesgue measure, which is a mathematical tool used to assign a numerical measure to subsets of n-dimensional Euclidean space.

2. How does Lebesgue measurability differ from other types of measurability?

Lebesgue measurability is a more general concept than other types of measurability, such as Jordan measurability. It allows for the measurement of more complex sets, including non-rectifiable and unbounded sets, and also allows for the measurement of sets in higher dimensions.

3. What is the significance of the Equivalence of Lebesgue Measurability theorem?

The Equivalence of Lebesgue Measurability theorem states that a set is Lebesgue measurable if and only if it is both outer and inner measurable. This theorem is important because it provides a necessary and sufficient condition for a set to be measurable with respect to the Lebesgue measure.

4. How is the Equivalence of Lebesgue Measurability theorem used in real-world applications?

The Equivalence of Lebesgue Measurability theorem has numerous applications in various fields, including probability theory, mathematical analysis, and theoretical physics. It allows for the precise measurement and analysis of complex sets and has been used to prove important theorems in these fields.

5. Can the Equivalence of Lebesgue Measurability theorem be extended to other types of measures?

Yes, the Equivalence of Lebesgue Measurability theorem can be extended to other types of measures, such as Borel measures and Radon measures. This allows for the generalization of the theorem to more general spaces and measures, making it a widely applicable and useful tool in mathematics and other fields.

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