Convergent Subsequences in Compact Metric Space

In summary: The statement that (x_n) converges to x is not necessarily the same as x_n being in every neighborhood of x. To illustrate this, let's look at an example. Suppose that the sequence (x_n) is a sequence in a metric space with the property that every convergent subsequence has the same limit x. Prove that x_n \to x as n\to \infty.In this case, the statement that (x_n) converges to x means that every subsequence of (x_n) converges to x. However, this does not mean that x_n is in every neighborhood of x. In the example below
  • #1
Chipz
6
0

Homework Statement


Suppose that [tex](x_n)[/tex] is a sequence in a compact metric space with the property that every convergent subsequence has the same limit [tex]x[/tex]. Prove that [tex]x_n \to x[/tex] as [tex]n\to \infty[/tex]


Homework Equations


Not sure, most of the relevant issues pertain to the definitions of the space. In this case I believe the following is relevant:
In a compact metric space every sequence must have a convergent subsequence, defining it as sequentially compact.

I'll add more.

The Attempt at a Solution


My basic hang up is this: Does every subsequence have to be convergent? If so...you can.

Suppose not:
Assume there exists a subsequence [tex]s_n[/tex] in [tex](x_n)[/tex] s.t. [tex]s_m =\displaystyle\sum\limits_{k=1}^{m} x_k \to y \neq x[/tex]

Then there would exist an [tex]m>a>0[/tex]

Under the assumption that [tex]s_a = \displaystyle\sum\limits_{k=a}^{\infty} x_k \to x[/tex]

Where [tex]s_m = \displaystyle\sum\limits_{k=1}^{m+a} x_k[/tex] Would not be convergent.

Then the sequence [tex](x_n)[/tex] is not Cauchy, which implies it's not a Complete Metric Space.
 
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  • #2
how about contradiction? may need some tightening but general idea is there

assume xn doesn't tend to x, then either there it does not converge or it tends to y not equal to x

if it tends to y its clearly a contradication

now if it does not converge it still visits x infinitely often, but it must also be in the neighbourhood of some other point infinitely often (compactness) which is also a contradiction
 
  • #3
lanedance said:
how about contradiction? may need some tightening but general idea is there

assume xn doesn't tend to x, then either there it does not converge or it tends to y not equal to x

if it tends to y its clearly a contradication

now if it does not converge it still visits x infinitely often, but it must also be in the neighbourhood of some other point infinitely often (compactness) which is also a contradiction

That's essentially the proof I gave. Although I've revised it a little to be more true for subsequences rather than partial sums.

Let [tex](n_1>n_2>n_3...) \in \mathbb{N}[/tex]

Suppose [tex]lim x_n = x[/tex]

given any [tex]\epsilon > 0[/tex] we must find an [tex]N[/tex] s.t. [tex]j \ge N[/tex] then [tex]|x_n_j - x| < \epsilon[/tex] [tex]\forall n \ge N[/tex]

[tex]n_j \ge j[/tex] [tex]\forall j[/tex] by induction and [tex]n_1 \ge 1[/tex] because [tex]n_1 \in \mathbb{N}[/tex]

if [tex]n_j \ge j \to n_{j+1} \ge n_j \ge j \to n_{j+1} > j +1[/tex] so if [tex]j\ge N[/tex] [tex]n_j \ge N[/tex] then [tex]|x_n_j -x| > \epsilon[/tex]

And thus every subsequence needs to converge to the same value.
 
  • #4
This appears to be a (confusingly written) proof that if [tex]x_n \to x[/tex] then every subsequence of [tex](x_n)[/tex] also converges to [tex]x[/tex]. Unfortunately that statement is the converse of what you are required to prove.

Begin with the hypothesis that every subsequence of [tex](x_n)[/tex] converges to [tex]x[/tex], and suppose that [tex]x_n \not\to x[/tex]. What does it mean for [tex]x_n[/tex] not to converge to [tex]x[/tex]? (What is the negation of the statement that [tex](x_n)[/tex] is eventually in every neighborhood of [tex]x[/tex]?)

(Use words! If your argument isn't essentially correct, symbols and abbreviations don't make it any clearer; they just make it harder to understand what needs fixing.)
 

Related to Convergent Subsequences in Compact Metric Space

1. What is a convergent subsequence?

A convergent subsequence is a sequence within a larger sequence that approaches a specific limit point. In other words, as the terms in the subsequence get closer and closer to each other, they also get closer and closer to a specific value.

2. What is a compact metric space?

A compact metric space is a mathematical concept that represents a set of points that are "close" to each other within the space. This means that any sequence of points within the space will have a subsequence that converges to a point within the space.

3. How do you determine if a subsequence is convergent?

To determine if a subsequence is convergent, you need to look at the terms in the subsequence and see if they are getting closer and closer to a specific value as the sequence progresses. If they are, then the subsequence is convergent.

4. What is the importance of convergent subsequences in compact metric spaces?

Convergent subsequences in compact metric spaces are important because they allow us to prove that the entire sequence is also convergent. This is because compact metric spaces have the property that any sequence within them must have a convergent subsequence, which ultimately leads to the convergence of the entire sequence.

5. How are convergent subsequences used in real-world applications?

Convergent subsequences have many practical applications in mathematics, physics, and engineering. They are used in optimization problems, where the goal is to find the best possible solution. Additionally, they are used in signal processing, where they help to identify patterns and trends in data. In engineering, convergent subsequences are used to study dynamic systems and their behavior over time.

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