Continuous mapping of compact metric spaces

In summary, there is a proof for the statement that a continuous mapping of a compact metric space into a metric space is uniformly continuous. This proof uses the topological definition of compactness and the triangle inequality, and is considered to be more direct than other proofs.
  • #1
alyafey22
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Let $f$ be a continuous mapping of a compact metric space $X$ into a metric space $Y$ then $f$ is uniformly continuous on $X$.

I have seen a proof in the Rudin's book but I don't quite get it , can anybody establish another proof but with more details ?
 
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  • #2
  • #3
We could also prove this using the topological definition of compactness (i.e. that every open cover has a finite subcover) rather than sequential compactness (i.e. that every sequence has a convergent subsequence). To me, this proof is nicer, though I can't guarantee it will be any easier on the intuition.
 
  • #4
TheBigBadBen said:
We could also prove this using the topological definition of compactness (i.e. that every open cover has a finite subcover) rather than sequential compactness (i.e. that every sequence has a convergent subsequence). To me, this proof is nicer, though I can't guarantee it will be any easier on the intuition.
But uniform continuity is not defined in a general topological space, so any proof will have to refer to the metric at some point.
 
  • #5
Opalg said:
But uniform continuity is not defined in a general topological space, so any proof will have to refer to the metric at some point.

Right. Here's a sketch of the proof I have in mind:

Given a continuous $f:X\to Y$, we want to show that for any $\epsilon>0$, there is a $\delta>0$ so that $d_Y(f(x),f(y))<\epsilon$ whenever $d_X(x,y)<\delta$

Consider any $\epsilon>0$. By continuity, we may state that for each $x\in X$, there is a $\delta_x$ such that for any $y \in X$, $d_Y(f(x),f(y))<\epsilon/2$ when $d_X(x,y)<\delta_x$. Now, consider the open cover given by
$$\left\{ B_{\delta_x}(x)| x\in X\right\}$$
(where $B_{r}(x)$ the open ball of radius $r$ and center $x$).

By compactness, there exists a finite subcover of the form

\[\left\{ B_{\delta_{x_k}}(x_k)|k\in\{1,2,\dots,n\}\right\}\]

Since there are finitely many $x_k$, there is a minimum $\delta_{x_k}$, which we may call $\delta$. We may now state (via some triangle-inequality magic) that $d_Y(f(x),f(y))<\epsilon$ whenever $d_X(x,y)<\delta$.

Thus, we have shown $f$ to be uniformly continuous
 
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  • #6
TheBigBadBen said:
Right. Here's a sketch of the proof I have in mind:

Given a continuous $f:X\to Y$, we want to show that for any $\epsilon>0$, there is a $\delta>0$ so that $d_Y(f(x),f(y))<\epsilon$ whenever $d_X(x,y)<\delta$

Consider any $\epsilon>0$. By continuity, we may state that for each $x\in X$, there is a $\delta_x$ such that for any $y \in X$, $d_Y(f(x),f(y))<\epsilon/2$ when $d_X(x,y)<\delta_x$. Now, consider the open cover given by
$$\bigcup_{x\in X} B_{\delta_x}(x)$$
(where $B_{r}(x)$ the open ball of radius $r$ and center $x$).

By compactness, there exists a finite subcover of the form
$$\bigcup_{k=1}^n B_{\delta_{x_k}}(x_k)$$
Since there are finitely many $x_k$, there is a minimum $\delta_{x_k}$, which we may call $\delta$. We may now state (via some triangle-inequality magic) that $d_Y(f(x),f(y))<\epsilon$ whenever $d_X(x,y)<\delta$.

Thus, we have shown $f$ to be uniformly continuous
The triangle inequality is a powerful tool, but its magic is a bit more subtle than that. In fact, those open balls $B_{\delta_{x_k}}(x_k)$ cover $X$. So if you are given $x,y\in X$ with $d_X(x,y)<\delta$, it follows that $x$ and $y$ must each lie in one of them, say $x\in B_{\delta_{x_i}}(x_i)$ and $y\in B_{\delta_{x_j}}(x_j)$. But there is no guarantee that $x$ and $y$ belong to the same ball (in other words, you can't assume that $i=j$). You cannot then deduce that $d_Y(f(x),f(y))<\epsilon$.

What you have to do is this. Given $\varepsilon>0$, define $B_{\delta_x}(x)$ as before, for each $x\in X$. Then consider the cover of $X$ consisting of balls of half that radius. The collection $\{B_{\delta_x/2}(x)\}$ has a finite subcover. Let $\delta$ be the minimum of the $\delta_{x_k}$s, as before. Then if $d_X(x,y)<\delta/2$ you can conclude that $x\in B_{\delta_{x_k/2}}(x_k)$ for some $k$. It follows from the triangle inequality that $x$ and $y$ are both in $B_{\delta_{x_k}}(x_k)$, from which you can conclude that $d_Y(f(x),f(y))\leqslant d_Y(f(x),f(x_k)) + d_Y(f(x_k),f(y)) < 2\varepsilon$. That is enough to establish uniform continuity.
 
  • #7
Opalg said:
The triangle inequality is a powerful tool, but its magic is a bit more subtle than that. In fact, those open balls $B_{\delta_{x_k}}(x_k)$ cover $X$. So if you are given $x,y\in X$ with $d_X(x,y)<\delta$, it follows that $x$ and $y$ must each lie in one of them, say $x\in B_{\delta_{x_i}}(x_i)$ and $y\in B_{\delta_{x_j}}(x_j)$. But there is no guarantee that $x$ and $y$ belong to the same ball (in other words, you can't assume that $i=j$). You cannot then deduce that $d_Y(f(x),f(y))<\epsilon$.

What you have to do is this. Given $\varepsilon>0$, define $B_{\delta_x}(x)$ as before, for each $x\in X$. Then consider the cover of $X$ consisting of balls of half that radius. The collection $\{B_{\delta_x/2}(x)\}$ has a finite subcover. Let $\delta$ be the minimum of the $\delta_{x_k}$s, as before. Then if $d_X(x,y)<\delta/2$ you can conclude that $x\in B_{\delta_{x_k/2}}(x_k)$ for some $k$. It follows from the triangle inequality that $x$ and $y$ are both in $B_{\delta_{x_k}}(x_k)$, from which you can conclude that $d_Y(f(x),f(y))\leqslant d_Y(f(x),f(x_k)) + d_Y(f(x_k),f(y)) < 2\varepsilon$. That is enough to establish uniform continuity.

Ah, I knew something was off about my proof. Thank you for picking that up and wrapping it up neatly, and for imparting some of your own triangle-inequality magic.

At any rate, I prefer to think of compactness in this sense rather than in terms of convergent subsequence, and I think this proof has a certain directness that the others lack. That might just be me though.
 

FAQ: Continuous mapping of compact metric spaces

What is continuous mapping of compact metric spaces?

Continuous mapping of compact metric spaces is a mathematical concept where a function is defined between two compact metric spaces, preserving the structure and distance between points. It is a useful tool in topology and analysis, allowing for the study of continuous functions on compact spaces.

What does it mean for a space to be compact?

A compact space is a topological space that is both closed and bounded. In simpler terms, it means that the space is finite and contains all of its limit points. Compactness is an important property in mathematics, as it allows for the use of certain theorems and techniques in analysis and topology.

How is continuous mapping different from other types of mappings?

Continuous mapping is a type of mapping that preserves the structure and distance between points. This means that the image of a continuous mapping will be a continuous space, and the pre-image of an open set will also be open. Other types of mappings, such as discontinuous or discontinuous but measurable mappings, do not have this property.

What are some applications of continuous mapping of compact metric spaces?

Continuous mapping of compact metric spaces has many applications in mathematics, physics, and engineering. It is used in the study of dynamical systems, optimization problems, and differential equations. It is also a useful tool in analyzing the behavior of physical systems, such as fluid flow or electromagnetic fields.

How can one prove that a mapping is continuous on a compact metric space?

There are various methods for proving the continuity of a mapping on a compact metric space. One approach is to use the definition of continuity and show that the mapping preserves the structure and distance between points. Another method is to use the properties of compactness, such as sequential compactness or the Heine-Borel theorem, to prove continuity. Additionally, one can use the concept of uniform continuity to show that a mapping is continuous on a compact metric space.

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