Metric space of all bounded real functions is complete

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Homework Help Overview

The problem involves the completeness of the metric space of all bounded real functions defined on a non-empty set X, with the metric induced by the supremum norm. The original poster seeks to demonstrate that this space is complete, particularly focusing on the behavior of Cauchy sequences within this context.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to analyze a Cauchy sequence of functions and its implications for pointwise convergence. They question whether uniform convergence is necessary for completeness and express uncertainty about the problem's requirements. Other participants suggest that uniform closeness of functions in a Cauchy sequence can lead to uniform convergence, and they discuss the implications of this for the completeness of the space.

Discussion Status

Participants are exploring the conditions under which a Cauchy sequence converges in the space of bounded functions. Some guidance has been offered regarding the relationship between uniform convergence and completeness, and there is an ongoing examination of whether the limit function remains bounded.

Contextual Notes

There is a reference to different sources, including Simmons' and Rudin's texts, which may influence the understanding of the problem. The discussion reflects on the definitions of completeness and the properties of bounded functions in relation to convergence.

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Homework Statement


Let X be a non-empty set and let C be the set of all bounded real functions defined on X, with the metric induced by the supremum norm: d(f,g) = ||f - g|| = sup |f(x)-g(x)| , x in X.
Show that the metric space (C,d) is complete.
Hint: if \{f_{n}\} is a cauchy sequence, then \{f_{n}(x)\} is a cauchy sequence for all x in X.

Homework Equations


The Attempt at a Solution



let \{f_{n}\} be a cauchy sequence in (C,d). From the definition, we have for all x in X: |f_{n}(x) - f_{m}(x)| \leq ||f_{n} - f_{m}|| so \{f_{n}(x)\} is cauchy for all x in X, hence it converges (because range of f is complete). Let f denote the function whose value at x is the limit of f_{n}(x) as n goes to infinity. Thus for every e > 0 and x in X, there exists N(x,e) > 0 such that |f_{n}(x) - f(x)| < e whenever n > N(x,e).

Now correct me if I'm wrong, but I cannot deduce from the last statement what the problem is asking for, unless f is uniformly convergent over X, that is, N(x,e) is independent of x. But that can't be true in general. Is there something I'm missing?

This problem is taken from Simmons' Introduction to Topology and Modern Analysis. However in Rudin's Principles of Mathematical Analysis, a book that I went through a few months before, I read this:

C(X) denotes the set of all complex-valued, continuous, bounded functions with domain X. [...]
A sequence {f_{n}} converges to f with respect to the metric of C(X) (induced by the supremum norm as above) if and only if fn -> f uniformly on X.

Is there something I'm missing or is the result the original problem is asking for is wrong?
 
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Keep in mind also that {fn} Cauchy means that fn gets uniformly close to each other (which is where you can get the uniform convergence through clever use of the triangle inequality)
 
ok, thank you. I figured it out :)
 
So once you have that fn --> f uniformly on X, how do you get that the space is complete?
 
symbol, that's it... by definition it's complete if every Cauchy sequence converges.
 
By definition, a metric space M is complete if every Cauchy sequence in M converges in M.
So in this case we would have to show that every Cauchy sequence in (C,d) converges in (C,d).
So if fn --> f under the sup norm, I guess we have to show that f is in (C,d).
 
You have to show it's bounded, but that's pretty easy since each fn is bounded, and fn converges uniformly to f... so we know for some n, |fn(x)-f(x)|<1 for all x, and if |fn(x)|<M for some M for all x, |f(x)|<M+1 necessarily
 

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