Convergence of Constant Measure Sets in Finite Measure Spaces?

In summary, the conversation discusses the existence of a subsequence of a sequence of measurable subsets in a finite measure space, where the intersection of the subsequence has positive measure. The participants share their ideas and eventually conclude that this statement is false, with one providing a counterexample using a sequence of sets with measure 1/2 in the interval [0,1]. They also discuss a proof using the binary expansion idea.
  • #1
SpaceTag
12
0
This question came up recently, and I'm wondering whether or not it's true:

Let (X,A,m) be a finite measure space. Let E_1,E_2,... be a sequence of measurable subsets of X of constant positive measure (i.e., there exists c>0 such that m(E_i) = c for all i). Then there exists a subsequence of the sequence E_1,E_2,... whose intersection has positive measure.

Any ideas?
 
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  • #2
Got it! It's false.

I have an example in X=[0,1] (with ordinary Lebesgue measure) of a sequence of sets E_n all of measure 1/2, with the property that the intersection of any subsequence has measure zero.

Now that you know which way to go (F vs. T), do you want me to spoil your fun, or do you want to keep looking? :)
 
  • #3
Spoil my fun, please! This has been annoying me for too long, haha.
 
  • #4
[tex]E_n = \{ x\in [0,1] : \sin(2^n\pi x)\ge0\}[/tex]

Equivalently, [tex]E_n[/tex] is the set of real numbers in [0,1] that have a binary expansion with 0 in the nth position.

[tex]E_n[/tex] is the disjoint union of [tex]2^{n-1}[/tex] intervals, each of length [tex]1/2^n[/tex]

Use the binary expansion idea to prove the intersection of any subsequence has measure zero.
 
  • #5
Brilliant! Thanks a lot.
 

FAQ: Convergence of Constant Measure Sets in Finite Measure Spaces?

What is measure theory?

Measure theory is a branch of mathematics that deals with the concept of measuring sets and assigning numerical values to them. It provides a rigorous mathematical framework for understanding the notion of size or volume for different types of sets.

What is the difference between a measure and a metric?

A measure is a function that assigns a numerical value to a set, while a metric is a function that measures distance between two points. A measure is used to determine the size or volume of a set, while a metric is used to determine the distance between elements of a set.

What is the importance of measure theory?

Measure theory is important in many areas of mathematics, including probability, analysis, and geometry. It provides a foundation for understanding and working with concepts such as integrals, derivatives, and limits. It also has practical applications in fields such as physics, economics, and engineering.

What are the basic concepts of measure theory?

Some of the basic concepts of measure theory include measure, measurable sets, sigma-algebras, and Lebesgue measure. A measure is a function that assigns a numerical value to a set, measurable sets are sets that can be assigned a measure, sigma-algebras are collections of sets that contain the measurable sets, and Lebesgue measure is a measure used to assign values to subsets of Euclidean space.

What are some common examples of measures?

Some common examples of measures include length, area, volume, probability, and mass. Length is a measure used to determine the size of a line segment, area measures the size of a two-dimensional region, volume measures the size of a three-dimensional region, probability measures the likelihood of an event occurring, and mass is a measure of the amount of matter in an object.

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