Why Doesn't a Proof by Contradiction Work for Cauchy Convergence?

Click For Summary

Homework Help Overview

The discussion revolves around the properties of Cauchy sequences in metric spaces, specifically examining the relationship between a Cauchy sequence and its convergent subsequences. The original poster presents a proof attempt regarding the convergence of a Cauchy sequence given that one of its subsequences converges to a point within the same metric space.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore the validity of using proof by contradiction in the context of Cauchy sequences and question the assumptions regarding convergence. Some express confusion about the implications of subsequences converging to a limit while the original sequence may not converge.

Discussion Status

There is an ongoing exploration of the conditions under which a Cauchy sequence converges, with some participants providing insights into the necessity of invoking Cauchy properties. A few participants have offered clarifications and examples to illustrate their points, while others are still grappling with the concepts involved.

Contextual Notes

Participants note the lack of information regarding the completeness of the metric space in question, which is relevant to the discussion of convergence and Cauchy sequences.

happyg1
Messages
304
Reaction score
0
Hi,
Here's the question:
Show that if [tex]{x_n}[/tex] is a cauchy sequence of points in the metric space M, and if [tex]{x_n}[/tex] has a subsequence which converges to [tex]x \in M[/tex], Prove that [tex]x_n[/tex] itself is convergent to x.
Now, I have proved this as follows..I didn't put in all of the details...
Let [tex]{x_n_k}[/tex] be the subsequence which converges to x.
Choose [tex]n\in\mathbb{N}[/tex] such that [tex]\forall k \geq N[/tex] the distance from [tex]x_n_k[/tex] to x [tex]\leq\frac{\eps}{2}[/tex] and similarly for [tex]x_n,x_m[/tex] then you wind up with [tex]\frac{\eps}{2}+\frac{\eps}{2}=\eps so you're done.<br /> My confusion lies in why can't you do a proof by contradiction?<br /> You let [tex]x_n[/tex] converge to, say y, and the subsequence [tex]s_n_k[/tex] (by hypothesis) converges to x...but every subsequence of a convergent (cauchy) sequence converges to the same limit. Why doesn't this work?<br /> CC[/tex]
 
Physics news on Phys.org
I'm still learning latex, so forgive my funky text there. I think you can still see what I mean. I typed in \eps instead of \epsilon, so what's blank there is [tex]\frac{\epsilon}}{2}[/tex]
sorry
CC
 
Last edited:
There is no reason why you can assume the cauchy sequence x_n converges at all in the first place, is there? Just because a sequence is cauchy does not mean that its 'limit' exists in the original space.
 
Proposition: A Cauchy sequence that has a convergent subsequence is itself convergent.

pg. 52 of Introduction to Analysis by Maxwell Rossenlicht
 
Last edited:
ok,
so I need to think of a cauchy sequence whose limit lies outside fo the original space that has a subsequence whose limit lies inside the space to show that that this won't work...
 
Last edited:
My head hurts
 
Do you know if the metric space is complete?
 
we don't know about complete yet...
 
dang it!
I was all sassy and confident about understanding this stuff...My final is coming up and now I'm all confused...I neeed a counterexample but I'm afraid to thinK about it because I'll doubt what I already proved...
arrrrrrghhhhhh
 
  • #10
Here's my whack at it...

happyg1 said:
Hi,
Here's the question:
Show that if [itex]{x_n}[/itex] is a cauchy sequence of points in the metric space M, and if [itex]{x_n}[/itex] has a subsequence which converges to [itex]x \in M[/itex], Prove that [itex]x_n[/itex] itself is convergent to x.
Now, I have proved this as follows..I didn't put in all of the details...
Let [itex]x_{n_{k}}[/itex] be the subsequence which converges to x.
Choose [itex]n\in\mathbb{N}[/itex] such that [itex]\forall k \geq N[/itex] the distance from [itex]x_{n_{k}}[/itex] to x [itex]\leq\frac{\epsilon}{2}[/itex] and similarly for [itex]x_n,x_m[/itex] then you wind up with [itex]\frac{\epsilon}{2}+\frac{\epsilon}{2}=\epsilon[/itex] so you're done.
CC

Here's my whack at it...

Let [itex]\left\{ x_{n_{k}}\right\} \rightarrow x[/itex] be the convergent subsequence of the Cauchy sequence [itex]\left\{ x_{n}\right\}[/itex] .

Choose an integer N such that [itex]\forall n,m \geq N[/itex] we have [itex]d\left( x_{n},x_{m}\right) \leq\frac{\epsilon}{2}[/itex].

Fix [itex]k\in\mathbb{N}[/itex] such that [itex]x_{n_k}\geq N[/itex] and large enough that [itex]d\left( x_{n_{k}},x\right) \leq\frac{\epsilon}{2}[/itex],

then set [itex]m = n_k \geq N[/itex] so that [itex]\forall n\geq N[/itex]

[tex]d\left( x_{n},x\right) \leq d\left( x_{n},x_{m}\right) + d\left( x_{n_{k}},x\right) \leq \frac{\epsilon}{2} + \frac{\epsilon}{2} = \epsilon[/tex]

and hence [itex]\left\{ x_{n}\right\} \rightarrow x[/itex]
 
  • #11
yes yes yes
that's exactly what I did...I need to try to understand why the contradiction method doesn't work...If the sebsequence converges to x then why won't the sequence?
 
  • #12
Look, here's what you're doing:

x_n is cauchy.

y_n is a subsequence that converges to y

This implies x_n converges to y.

That's fine.

What you can't do is ***suppose that x_n converges to something** and show x=y. Because we do not know x_n converges a priori. It does, as your first correct proof shows, and moreover constructively we show it converges to the right thing, but we can't assume that it converges since that is not part of the hypothesis.

After all, if x_n is convergent sequence, and any subsequence converges to x then x_n does, that's fine, no need to invoke cauchyness. But we do not know x_n converges which you incorrectly suppose when trying to prove it by contradiction.As a proof of why your misproof is a misproof, consider the sequence

0,1,0,1,0,1,0,1,...

the eve terms converge to 0, and IF the sequence converged as a whole it converges to zero therefore, but clearly it doesn't converge at all. See, you need to invoke the cauchyness of the initial sequence.
 
Last edited:
  • #13
happyg1 said:
ok,
so I need to think of a cauchy sequence whose limit lies outside fo the original space that has a subsequence whose limit lies inside the space to show that that this won't work...

why try to do that since you've just proved that you can't?
 
  • #14
The fact that, if a Cauchy Sequence has a convergent subsequence, the whole series converges is true in any metric space.

Let {an} be a Cauchy Sequence and let S be an infinite set of natural numbers such that the subset {an} with n in S converges to a.

Then, given [itex]\epsilon> 0[/itex], there exist N1 such that if n is in S and n> N1, [itex]|a_n- a|<\frac{\epsilon}{2}[/itex].

Since {an} is Cauchy, there exist N2 such that if m and n are both larger than N2 then [itex]|a_n- a_m|< \frac{\epsilon}{2}[/itex].

Let n be a positive integer larger than both N1 and N2 and contained in S and, for any m> N2, look at
[tex]|a_m- a|\leq|a_m- a_n|+ |a_n- a|[/tex]

You can use that "lemma" to show that if "monotone convergence" is true, then the Cauchy Criterion is true.
 
Last edited by a moderator:
  • #15
Hi,
Thanks Matt for the explicit explanation. I understand this now. I hate going around and round in circles like that. That lemma is neat, too..sheds some more light on the ideas of metric spaces and cauchyness.
The fog has lifted.
Ya'll are awesome
CC
 
  • #16
I thought of a better explanation.

Your proof by contradiction works, in as much as it negates an assumption, it's just that your assumption was:

x_n converges AND its limit is not the limit of the subsequence.

so, you do get a contradiction and hence that is false.
 
  • #17
I just got this problem for HW (out of Papa Rudin, ch. 3, #22):

Suppose that X is a metric space in which every Cauchy sequence has a convergent subsequence. Prove that X is complete.

Yep, thanks.
 

Similar threads

Replies
1
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
11
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 7 ·
Replies
7
Views
3K
Replies
8
Views
3K
  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K