Why Continuous Functions Don't Preserve Cauchy Sequences

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Homework Help Overview

The discussion revolves around the question of why continuous functions do not necessarily preserve Cauchy sequences, particularly in the context of the function f(x) = 1/x on the interval (0,1). The original poster expresses confusion regarding the differences between continuous and uniformly continuous functions in relation to Cauchy sequences.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to understand the implications of continuity versus uniform continuity, questioning why the proof for uniformly continuous functions does not apply to standard continuous functions. They reference specific examples and seek clarification on the behavior of Cauchy sequences under these functions.

Discussion Status

Participants have engaged in exploring the reasoning behind the necessity of uniform continuity for preserving Cauchy sequences. Some have provided insights into the definitions and properties of Cauchy sequences, while others have elaborated on the requirements for uniform continuity in proofs. The discussion appears to be productive, with participants offering explanations and the original poster expressing increased clarity.

Contextual Notes

There is a focus on the epsilon-delta definition of continuity and the sequential characterization of continuity. The original poster mentions specific examples and resources they have reviewed, indicating a search for deeper understanding rather than a straightforward solution.

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Homework Statement


Why is it that continuous functions do not necessarily preserve cauchy sequences.


Homework Equations


Epsilon delta definition of continuity
Sequential Characterisation of continuity


The Attempt at a Solution


I can't see why the proof that uniformly continuous functions preserve cauchy sequences doesn't hold for 'normal' continuous functions.
In particular the example of f(x) = 1/x on (0,1)
I have worked through the examples
http://www.mathcs.org/analysis/reals/cont/answers/fcont3.html
and here
http://www.mathcs.org/analysis/reals/cont/answers/contuni4.html

where they address this issue directly, but I can't get my head around it.

I understand that if we have a cauchy sequence converging to 0, then f(xn) is going to diverge to infinity, but I still can't see what the problem is.

Any explanation you can offer would be appreciated.

Kind regards
 
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I like number said:
I understand that if we have a cauchy sequence converging to 0, then f(xn) is going to diverge to infinity, but I still can't see what the problem is.

Recall that Cauchy sequences are bounded. So if \{f(x_n)\}_{n \in \mathbb{N}} diverges, then the sequence cannot be Cauchy. In particular, f does not take Cauchy sequences to Cauchy sequences.
 


The reason that we need uniform continuity is that we need to be able to find one \delta for each \epsilon that works for all x in a certain interval. This is because in the proof, we do a "double triangle inequality." So, if \{f(x_n)\} is a sequence of continuous functions that converges to f(x) for each x in the interval (a,b) then we want to show that \forall \epsilon \exists \delta such that |f(x_0) - f(x)| < \epsilon whenever |x_0 - x| < \delta. We do this by writting:
|f(x_0) - f(x)| = |f(x_0) - f_n(x_0) + f_n(x_0) - f_n(x) + f_n(x_0)-f(x)| \leq<br /> |f(x_0) - f_n(x_0)| + |f_n(x_0) - f_n(x)| + |f_n(x_0)-f(x)|

Now, since the sequence is Cauchy, we can control the outer two terms with a big enough n and make them both less than \epsilon / 3. So, we need to be able to ensure that |f_n(x) - f_n(x_0)| \leq \epsilon / 3 for every x such that |x_0-x|\leq \delta. The only way we can do this is by making f_n uniformly continuous.

As an example, consider the function f_n(x) = x^n on [0,1).
 


Thanks very much to you both.
I think I can see it more clearly now, (and a good nights sleep always helps too!).
I will continue to play around with these ideas and if I have any more questions I'll be back.

Thanks again
 

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