Cauchy sequence with a convergent subsequence

So if we choose some k' that is both of these things, then it satisfies the conditions we need to use the Cauchy and convergence definitions.In summary, the theorem states that in a metric space X, if a Cauchy sequence (xn) has a subsequence (xn_k) that converges to a, then the original sequence also converges to a. This can be proven by showing that for any epsilon greater than 0, the elements of (xn) are within 2 epsilon of each other for indices larger than some N, using the properties of Cauchy and convergence.
  • #1
kingwinner
1,270
0

Homework Statement


Theorem: In a metric space X, if (xn) is a Cauchy sequence with a subsequence (xn_k) such that xn_k -> a, then xn->a.

Homework Equations


N/A

The Attempt at a Solution


1) According to this theorem, if we can show that ONE subsequence of xn converges to a, is that enough? Or do we need to show that EVERY subseuqence of xn converges to a in order to claim that xn->a?

2) How can we prove the theorem?
By definition, xn is Cauchy iff for all ε>0, there exists N s.t. if n,m≥N, then d(an,am)<ε.
By definition, xn->a iff for all ε>0, there exists M s.t. if n≥M, then d(xn,a)<ε.
I know the definitions, but I don't see how to link these all together to prove the theorem...

Any help is greatly appreciated!
 
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  • #2
kingwinner said:
1) According to this theorem, if we can show that ONE subsequence of xn converges to a, is that enough? Or do we need to show that EVERY subseuqence of xn converges to a in order to claim that xn->a?

You can only assume it for one subsequence. Otherwise you could just take the subsequence n_k=k and be done.

The general idea of this proof is that for a_nk to converge to a means that for large enough N for all k>N a_nk is close to a. Now the issue here is that a_nk doesn't include all elements of a_n, but to say that a_n is Cauchy means precisely that for large enough indices the elements are close to each other.

To actually perform the proof let us choose some [itex]\epsilon > 0[/itex]. Note that since [itex]a_{n_k} \to a[/itex] there exists some K>0 such that for all k>K we have [itex]d(a_{n_k},a) < \epsilon[/itex]. Now since [itex](a_n)[/itex] is Cauchy there exists some N>0 such that if n,m>N, then [itex]d(a_n,a_m) < \epsilon[/itex]. This is the necessary setup.

There exists some k' such that [itex]n_{k'} > N[/itex] and [itex]k' > K[/itex]. By the Cauchy condition if [itex]n>N[/itex], then,
[tex]d(a_{n_{k'}},a_n) < \epsilon[/tex]
Similarily by the convergence we have,
[tex]d(a_{n_{k'}},a}) < \epsilon[/tex]
Add these and use the triangle inequality to get,
[tex]d(a_n,a) < 2\epsilon[/tex]
Since [itex]\epsilon[/itex] was arbitrary this shows that [itex](a_n)[/itex] converges to a.
 
  • #3
rasmhop said:
You can only assume it for one subsequence. Otherwise you could just take the subsequence n_k=k and be done.

The general idea of this proof is that for a_nk to converge to a means that for large enough N for all k>N a_nk is close to a. Now the issue here is that a_nk doesn't include all elements of a_n, but to say that a_n is Cauchy means precisely that for large enough indices the elements are close to each other.

To actually perform the proof let us choose some [itex]\epsilon > 0[/itex]. Note that since [itex]a_{n_k} \to a[/itex] there exists some K>0 such that for all k>K we have [itex]d(a_{n_k},a) < \epsilon[/itex]. Now since [itex](a_n)[/itex] is Cauchy there exists some N>0 such that if n,m>N, then [itex]d(a_n,a_m) < \epsilon[/itex]. This is the necessary setup.

There exists some k' such that [itex]n_{k'} > N[/itex] and [itex]k' > K[/itex]. By the Cauchy condition if [itex]n>N[/itex], then,
[tex]d(a_{n_{k'}},a_n) < \epsilon[/tex]
Similarily by the convergence we have,
[tex]d(a_{n_{k'}},a}) < \epsilon[/tex]
Add these and use the triangle inequality to get,
[tex]d(a_n,a) < 2\epsilon[/tex]
Since [itex]\epsilon[/itex] was arbitrary this shows that [itex](a_n)[/itex] converges to a.
There exists some k' such that [itex]n_{k'} > N[/itex] and [itex]k' > K[/itex] <---can you please explain this part?

Thank you!
 
  • #4
kingwinner said:
There exists some k' such that [itex]n_{k'} > N[/itex] and [itex]k' > K[/itex] <---can you please explain this part?

Thank you!

Well [itex]1 \leq n_1 < n_2 < \cdots[/itex] so [itex]n_i \geq i[/itex] (n_1 must be at least 1, n_2 must be at least one more, n_3 must be at least one more than n_2, etc.). Thus [itex]n_{N+1} > N[/itex] so simply let [itex]k' = \max(N+1,K+1)[/itex], then
[tex]n_{k'} \geq n_{N+1} > N \qquad k' \geq K+1 > K[/tex]
Basically what this says is the sequence (n_k) will eventually become greater than N (it's unbounded) and there exists an integer larger than K.
 

What is a Cauchy sequence with a convergent subsequence?

A Cauchy sequence with a convergent subsequence is a sequence of real numbers in which the difference between any two terms becomes arbitrarily small as the sequence progresses, and within this sequence there is a subsequence that converges to a limit.

Why is a convergent subsequence important in a Cauchy sequence?

A convergent subsequence is important in a Cauchy sequence because it guarantees that the entire sequence is also convergent. This is due to the fact that a Cauchy sequence is a necessary condition for a sequence to be convergent.

How can you prove that a Cauchy sequence with a convergent subsequence is convergent?

To prove that a Cauchy sequence with a convergent subsequence is convergent, we can use the Cauchy convergence criterion which states that a sequence is convergent if and only if it is a Cauchy sequence.

Can a sequence be Cauchy without having a convergent subsequence?

Yes, it is possible for a sequence to be Cauchy without having a convergent subsequence. This is because a Cauchy sequence only guarantees that the terms become arbitrarily close to each other, but it does not guarantee that the entire sequence will converge.

Is a Cauchy sequence with a convergent subsequence always convergent in any metric space?

No, a Cauchy sequence with a convergent subsequence is not always convergent in any metric space. This is because there are metric spaces in which a Cauchy sequence may not converge, even if it has a convergent subsequence.

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