Convergence of sequence of measurable sets

In summary, The (pseudo)metric d(A,B)=μ(A-B)+μ(B-A) is defined on a σ-field X, and the metric space (X',d) is well defined if equivalent classes of sets [Aα] where d(Aα1,Aα2)=0 are considered. To show that (X',d) is complete, we need to find a suitable candidate limit set. Two possible candidates are B=∩k=1∞Bk and C=∪k=1∞Ck, where Bk=∪n=k∞An and Ck=∩n=k∞An. We can show that C⊆A⊆B, but
  • #1
sunjin09
312
0
Given a totally finite measure μ defined on a [itex]\sigma[/itex]-field X, define the (pseudo)metric d(A,B)=μ(A-B)+μ(B-A), (the symmetric difference metric), it can be shown this is a valid pseudo-metric and therefore the metric space (X',d) is well defined if equivalent classes of sets [itex][A_\alpha][/itex] where [itex]d(A_{\alpha_1},A_{\alpha_2})=0[/itex] are considered.

How do I show this metric space (X',d) is complete? In other words, given a Cauchy sequence {An}, the limit seems to be given by [itex]A=\cap_{n=1}^\infty A_n[/itex], but how do I formalize the proof? d(An,A)=μ(An-A)=[itex]\mu(A_n-\cap_{n=1}^\infty A_n[/itex])=...,
How do I make use of the Cauchy sequence {An}?
 
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  • #2
It turns out the limit is not [itex]A=\cap_nA_n[/itex] (e.g., [itex]A_1=\emptyset,A_n=A\neq\emptyset,n>1[/itex]), unless [itex]A_{n+1}\subset A_n[/itex], in which case
[itex]\mu(A)=\mu(\cap_nA_n)=\lim_{n\rightarrow\infty}\mu(A_n)[/itex], so that [itex]\lim_{n\rightarrow\infty} d(A_n,A)=\lim_{n\rightarrow\infty}[\mu(A_n)-\mu(A)]=0[/itex].

In the general case, what would be a suitable candidate limit set?
 
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  • #3
I have come up with two candidates, define {Bn} and {Cn} where [itex]B_n=\cup_{k=n}^\infty A_k[/itex] and [itex]C_n=\cap_{k=n}^\infty A_k[/itex], it can be shown that {Bn} converges to [itex]B=\cap_{k=n}^\infty B_k[/itex] and {Cn} converges to [itex]C=\cup_{k=n}^\infty C_k[/itex], it can also be shown that [itex]C_n\subset A_n\subset B_n[/itex], the problem is how to show C=B so that {An} has to converge to B or C. Can anybody help? Thanks a lot.
 

Related to Convergence of sequence of measurable sets

What is the definition of convergence of a sequence of measurable sets?

The convergence of a sequence of measurable sets is a mathematical concept that describes the behavior of a sequence of sets as the number of elements in the sets increases. In other words, it is the process of determining whether the elements of a sequence of sets eventually become the same or similar.

How is convergence of a sequence of measurable sets different from convergence of a sequence of real numbers?

The main difference is that the convergence of a sequence of measurable sets involves sets as elements, while the convergence of a sequence of real numbers involves real numbers as elements. In the case of measurable sets, the concept of convergence is used to describe the behavior of the sets as a whole, rather than the behavior of individual elements.

What are some common examples of sequences of measurable sets?

Some common examples include sequences of intervals on the real line, sequences of subsets of a topological space, and sequences of measurable functions on a measure space.

What is the importance of convergence of a sequence of measurable sets in mathematics?

Convergence of a sequence of measurable sets is an important concept in many areas of mathematics, including real analysis, measure theory, and topology. It allows us to study the behavior of sets in a systematic way, and it is a fundamental tool in proving many important theorems.

How is the convergence of a sequence of measurable sets proven?

To prove convergence of a sequence of measurable sets, we typically use mathematical techniques such as the Monotone Convergence Theorem, the Dominated Convergence Theorem, or the Fatou's Lemma. These theorems provide criteria for determining when a sequence of sets converges to a specific limit.

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