Can a G-delta Set and a Borel Set Have the Same Lebesgue Measure?

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In summary, to show the existence of a G-delta set B with E \subseteq B and \lambda(E) = \lambda(B), we can use the properties of the Lebesgue measure, specifically the Monotonicity and countable additivity properties. By showing the forward and reverse inequality, we can conclude that B is the desired G-delta set.
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Homework Statement



Show there's a G-delta set B, with E [tex]\subseteq[/tex] B s.t.

[tex]\lambda[/tex](E) = [tex]\lambda[/tex](B)

Where [tex]\lambda[/tex] is the Lebesgue measure and E is a Borel set.

Homework Equations



- G-delta set is a countable intersection of open set.
- Lebesgue measure has properties: monotonicity, countable additivity, translation invariance, measure of countable subset is 0, correct length for closed intervals.

The Attempt at a Solution



I get the impression that by the Monotonicity of the Lebesgue measure, we can show [tex]\lambda[/tex](E) [tex]\leq[/tex] [tex]\lambda[/tex](B) as E [tex]\subseteq[/tex] B.

Now it is just a case of showing the reverse holds as well, to show the equality.

However, I have no idea where to start with this reverse inequality, or if this is even the correct approach to take. Helps!
 
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Dear student,

Your approach is on the right track. To show the reverse inequality, we can use the countable additivity property of the Lebesgue measure. Let B = \bigcap_{n=1}^{\infty} U_n, where U_n are open sets. Since E \subseteq B, we can write E = \bigcap_{n=1}^{\infty} (E \cap U_n). Now, using the countable additivity property, we have:

\lambda(E) = \lambda\left(\bigcap_{n=1}^{\infty} (E \cap U_n)\right) = \lim_{N \to \infty} \lambda\left(\bigcap_{n=1}^{N} (E \cap U_n)\right)

Since each (E \cap U_n) is a Borel set, we can apply the Monotonicity property to get:

\lambda(E) \leq \lim_{N \to \infty} \lambda\left(\bigcap_{n=1}^{N} U_n\right) = \lambda\left(\bigcap_{n=1}^{\infty} U_n\right) = \lambda(B)

Hence, we have shown that \lambda(E) \leq \lambda(B). Combining this with \lambda(E) \geq \lambda(B) from your approach, we can conclude that \lambda(E) = \lambda(B). Therefore, B is a G-delta set with E \subseteq B and \lambda(E) = \lambda(B).

I hope this helps. Keep up the good work!
 

Related to Can a G-delta Set and a Borel Set Have the Same Lebesgue Measure?

What is the Measures & Borel Sets Problem?

The Measures & Borel Sets Problem is a fundamental problem in mathematics that deals with the construction and properties of measures on abstract spaces known as Borel sets. It is closely related to the concept of Lebesgue measure, which is a well-known measure on the real numbers. The problem seeks to find a general solution for constructing measures on Borel sets that satisfy certain properties, such as countable additivity and translation invariance.

Why is the Measures & Borel Sets Problem important?

The Measures & Borel Sets Problem is important because it has applications in many areas of mathematics, such as analysis, probability theory, and measure theory. It provides a framework for understanding the concept of measure and its properties, which are essential for studying the behavior of functions and sets on abstract spaces. Many fundamental theorems in mathematics, such as the Lebesgue differentiation theorem and the Radon-Nikodym theorem, rely on the construction of measures on Borel sets.

What are Borel sets?

Borel sets are a special class of subsets of a given space that are generated by a specific collection of open sets. In other words, Borel sets are the smallest collection of sets that contains all open sets and is closed under countable unions, intersections, and complements. They are important in the context of the Measures & Borel Sets Problem because measures are typically defined on Borel sets.

What is countable additivity?

Countable additivity is a property that measures on Borel sets must satisfy. It means that the measure of a countable union of disjoint sets is equal to the sum of the measures of each individual set. In other words, if A1, A2, A3, ... are disjoint Borel sets, then the measure of their union is equal to the sum of the measures of A1, A2, A3, ... This property is essential for defining measures on infinite spaces and ensuring their consistency with our intuitive understanding of measure.

What is translation invariance?

Translation invariance is another important property that measures on Borel sets must satisfy. It means that the measure of a set is not affected by shifting the set by a constant amount. In other words, if A is a Borel set and c is a constant, then the measure of A is the same as the measure of A + c, where A + c is the set obtained by adding c to each element of A. This property is closely related to the concept of symmetry and is essential for defining measures on spaces with a natural symmetry, such as Euclidean spaces.

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