Proving Uniformly Continuous Extension of Function ##f## in Metric Space ##E'##

In summary: But since ##g(y_n) = f(y_n)## and ##g(z_n) = f(z_n)##, we have ##d(g(y_n), g(z_n)) < \epsilon/2## as well. Therefore, if ##d(y_n, z_n) < \delta##, we have ##d(g(y_n), g(z_n)) < \epsilon##, as desired.In summary, we have shown that the extension ##g## of ##f## is well-defined and uniformly continuous. This means that we can define a continuous function ##g: E \to E'## by setting ##g(x) = f(x)##
  • #1
Lee33
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Homework Statement



Let ##S\subset E## where ##E## is a metric space with the property that each point of ##S^c## is a cluster point of ##S.## Let ##E'## be a complete metric space and ##f: S\to E'## a uniformly continuous function. Prove that ##f## can be extended to a continuous function from ##E## into ##E'## and that this extended function is also uniformly continuous.

2. The attempt at a solution

This is a complicated problem for me and I want to know if my reasoning is correct?

Let ##s\in S^c## then since ##s## is a cluster point of ##S## there exists a sequence ##s_n \in S## such that ##s_n \to s## thus ##s_n## is a Cauchy sequence. Since ##f## is a uniformly continuous function and ##E'## is complete then ##f(s_n)## is also a Cauchy sequence that converges in ##E'## to some ##x,## thus we have ##\lim f(s_n) = x.##

Now we want to show that ##f## can be extended to ##E## and that this extension is uniformly continuous, in order to do that we must have that for any sequence in ##E## that converges to ##s## then the image sequence must converge to the same limit ##x.## Therefore we define our extension to be ##\lim g(y_n) = x## for ##y_n \in E.##

Now to prove that this is indeed an extension we must show two things: that is uniformly continuous and that the image sequence converges to the same limit ##x## thus ##\lim g(y_n) = x.##

Is my reasoning correct? Thank you for your time!
 
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  • #2


Your reasoning is mostly correct, but there are a few small mistakes. Let me walk you through the proof step by step.

First, we have to show that the extension of ##f##, which we will call ##g##, is well-defined. This means that if we have two sequences ##y_n, z_n \in E## that converge to the same limit ##s \in S^c##, then ##\lim g(y_n) = \lim g(z_n)##. You have correctly stated that since ##s## is a cluster point of ##S##, there exists sequences ##y_n, z_n \in S## that converge to ##s##. However, you cannot just say that ##\lim f(y_n) = x## and ##\lim f(z_n) = x## - this is what you are trying to prove! Instead, you should say that since ##f## is uniformly continuous, for any ##\epsilon > 0## there exists a ##\delta > 0## such that if ##d(y_n, z_n) < \delta##, then ##d(f(y_n), f(z_n)) < \epsilon##. But since ##y_n## and ##z_n## both converge to ##s##, we can find an ##N## such that for all ##n \geq N##, we have ##d(y_n, z_n) < \delta##. Therefore, we have ##d(f(y_n), f(z_n)) < \epsilon## for all ##n \geq N##, and since ##f(y_n)## and ##f(z_n)## both converge to ##x##, we can conclude that ##\lim f(y_n) = \lim f(z_n) = x##.

Next, you have to show that ##g## is uniformly continuous. This means that for any ##\epsilon > 0##, there exists a ##\delta > 0## such that if ##d(y_n, z_n) < \delta##, then ##d(g(y_n), g(z_n)) < \epsilon##. You can use a similar argument as above to show this. Let ##\epsilon > 0## be given. Since ##f## is uniformly continuous, there exists a ##\delta > 0## such that if ##d(y_n, z_n) < \delta##, then ##d
 

What is uniformly continuous extension of a function?

Uniformly continuous extension of a function is a way to extend a function defined on a subset of a metric space to the entire space, while preserving the property of uniform continuity. This means that the extended function will have the same behavior as the original function on the subset, and will also be uniformly continuous on the entire metric space.

Why is proving uniformly continuous extension important?

Proving uniformly continuous extension is important because it allows us to extend functions to a larger domain, which can be useful in various applications. It also helps us to better understand the properties of a function and its behavior on a larger domain.

What is the difference between uniformly continuous and continuous?

A function is continuous if for any given point in its domain, the function's output can be made arbitrarily close to the function's value at that point by choosing a small enough interval around that point. Uniformly continuous functions have the property that the size of this interval does not depend on the specific point chosen. In other words, uniformly continuous functions have a consistent level of continuity across their entire domain, whereas continuous functions may only be continuous at specific points.

What are some common techniques used to prove uniformly continuous extension?

There are several techniques that can be used to prove uniformly continuous extension. These include the definition of uniform continuity, the definition of continuity, the use of Cauchy sequences, and the use of the compactness property of a metric space.

How do you know if a function can be uniformly continuously extended?

In order for a function to be uniformly continuously extendable, it must be uniformly continuous on a subset of the metric space E'. This means that the function must have a consistent level of continuity across that subset, and this level of continuity can be extended to the entire metric space E'.

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