Compact image under every continuous function

In summary: Let V be an open subset of ##\mathbb R## and let ##f^{-1}(V)## be open in ##A##. Then, for every ##x \in V##, ##f^{-1}(x)## is open, in particular, ##A \cap f^{-1}(x)## is an open set in ##A##. But, ##f(A \cap f^{-1}(x))=\{x\}##, and I don't know how to continue. In summary, we are trying to prove that if a set A is a subset of ##R^n## and for every continuous function ##f:A \to \mathbb R##, ##f(A)## is compact
  • #1
mahler1
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Homework Statement .
Let ##A \subset R^n## and suppose that for every continuous function ##f:A \to \mathbb R##, ##f(A)## is compact. Prove that ##A## is a compact set.

The attempt at a solution.

I've couldn't do much, I've thought of two possible ways to show this: One is to show that ##A## is closed and bounded and the other is to prove that every sequence in ##A## has a convergent subsequence in ##A##.

With approach number one, all I could do was to prove that ##A## is closed: By hypothesis, ##f(A)## is compact, in particular, it is bounded, so there is ##M>0##: ##\forall y \in f(A)##, there exists a closed ball ##K(x,M)## such that ##y \in K(x,M)##. Consider ##f^{-1}\{K(x,M)\}##, then ##A=f^{-1}\{K(x,M)\}## is the preimage of a closed set, which means ##A## is closed. I don't know how to prove ##A## is bounded.

With the other approach (prove ##A## is sequentially compact) I couldn't get anything. Maybe I could prove it by the absurd:

Suppose ##A## is not compact, then there is ##\{x_n\}_{n \in \mathbb N} \in A## a sequence with no convergent subsequences. ##\{f(x_n)\}_{n \in \mathbb N}## is a sequence in ##f(A)##, so, by hypothesis, the exists ##\{f(x_{n_k})\}_{k \in \mathbb N}## a convergent subsequence in ##f(A)##. Now I should arrive to an absurd but I don't know how to.
 
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  • #2
Here are some alternate definitions of "compact" and "continuous function". Using them may make matters easier:

A set X is compact if every open covering contains a finite sub-covering.

Interpretation: This means if X is contained in a bunch of open sets, then there should be a finite bunch of them in which X is contained (I'm sure you enjoy my precise mathematical formulation here, but sometimes English is easier to understand).

A function f: X ##\rightarrow## Y is continuous when if V is an open subset of Y, ##f^{-1}##(V) is open in X.

Try using the above definition for f(A) to be compact, and the above definition of "continuous". Start with a random open covering of f(A). Since f(A) is compact ...
 
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  • #3
mahler1 said:
With approach number one, all I could do was to prove that ##A## is closed: By hypothesis, ##f(A)## is compact, in particular, it is bounded, so there is ##M>0##: ##\forall y \in f(A)##, there exists a closed ball ##K(x,M)## such that ##y \in K(x,M)##. Consider ##f^{-1}\{K(x,M)\}##, then ##A=f^{-1}\{K(x,M)\}## is the preimage of a closed set, which means ##A## is closed. I don't know how to prove ##A## is bounded.

If you want to stick with this approach, consider f(x) = ||x||.
 
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  • #4
brmath said:
Here are some alternate definitions of "compact" and "continuous function". Using them may make matters easier:

A set X is compact if every open covering contains a finite sub-covering.

Interpretation: This means if X is contained in a bunch of open sets, then there should be a finite bunch of them in which X is contained (I'm sure you enjoy my precise mathematical formulation here, but sometimes English is easier to understand).

A function f: X ##\rightarrow## Y is continuous when if V is an open subset of Y, ##f^{-1}##(V) is open in X.

Try using the above definition for f(A) to be compact, and the above definition of "continuous". Start with a random open covering of f(A). Since f(A) is compact ...

In some situations I prefer English rather than mathematical formulation. I knew that definition of compactness, but it never ocurred to me to use it in this exercise.

I was going to start with an open covering ##\{C_i\}_{i \in \mathbb I}## of ##A##, but I don't know if ##f(\{C_i\}_{i \in \mathbb I})## is necessarily an open cover of ##f(A)##, so now I get why you told me to start by an open covering of ##f(A)##.

Let ##\{C_i\}_{i \in \mathbb I}## be an open covering of ##f(A)##. By hypothesis, there exist ##1,2,...,n## such that ##f(A) \subset \bigcup\limits_{j=1}^n C_{i_j}##. Now let ##\{F_i\}_{i \in \mathbb I}## be an open covering of ##A##, I want to prove that there is a finite subcover that can be extracted from ##\{F_i\}_{i \in \mathbb I}##.

Hmm, I got stuck here, I could take ##f^{-1}(\{\bigcup\limits_{j=1}^n C_{i_j}\})=A## and this a finite open cover of ##A##. But how can I use this in order to extract a finite subcover of ##\{F_i\}_{i \in \mathbb I}##?
 
  • #5
Office_Shredder said:
If you want to stick with this approach, consider f(x) = ||x||.

Oh, it wasn't so difficult after all. The function ##f(x)=\|x\|## is a continuous function, by hypothesis, ##f(A)## is compact, in particular, it's bounded. But then, there exists ##M>0: \forall y \in f(A)##, ##y \in B(0,M)##. Given ##x \in A##, there is ##y \in f(A) : y=\|x\|##. Then, ##\|x\|=|\|x\||=|y|\leq M##, since ##x## was arbitrary, ##\forall x \in A##, ##\|x\|\leq M##. This proves ##A## is bounded, I've also proved ##A## is closed so, Heine-Borel theorem, ##A## is compact.

Thanks!
 
  • #6
brmath said:
Here are some alternate definitions of "compact" and "continuous function". Using them may make matters easier:

A set X is compact if every open covering contains a finite sub-covering.

Interpretation: This means if X is contained in a bunch of open sets, then there should be a finite bunch of them in which X is contained (I'm sure you enjoy my precise mathematical formulation here, but sometimes English is easier to understand).

A function f: X ##\rightarrow## Y is continuous when if V is an open subset of Y, ##f^{-1}##(V) is open in X.

Try using the above definition for f(A) to be compact, and the above definition of "continuous". Start with a random open covering of f(A). Since f(A) is compact ...

I am interested in this approach, I've tried to use your suggestion but I got stuck at one point, if you have time, I would appreciate if you could tell me how to continue. Thanks!
 
  • #7
Where did you get stuck? I myself have a stuck point, but maybe between us we can sort it out. I've had not done well trying to prove compactness by using limits and closure, so this alternate approach seems promising.
 
  • #8
mahler1 said:
Let ##\{C_i\}_{i \in \mathbb I}## be an open covering of ##f(A)##. By hypothesis, there exist ##1,2,...,n## such that ##f(A) \subset \bigcup\limits_{j=1}^n C_{i_j}##. Now let ##\{F_i\}_{i \in \mathbb I}## be an open covering of ##A##, I want to prove that there is a finite subcover that can be extracted from ##\{F_i\}_{i \in \mathbb I}##.

Hmm, I got stuck here, I could take ##f^{-1}(\{\bigcup\limits_{j=1}^n C_{i_j}\})=A## and this a finite open cover of ##A##. But how can I use this in order to extract a finite subcover of ##\{F_i\}_{i \in \mathbb I}##?

At that point I got stuck
 
  • #9
mahler1 said:
In some situations I prefer English rather than mathematical formulation. I knew that definition of compactness, but it never ocurred to me to use it in this exercise.

I was going to start with an open covering ##\{C_i\}_{i \in \mathbb I}## of ##A##, but I don't know if ##f(\{C_i\}_{i \in \mathbb I})## is necessarily an open cover of ##f(A)##, so now I get why you told me to start by an open covering of ##f(A)##.

Let ##\{C_i\}_{i \in \mathbb I}## be an open covering of ##f(A)##. By hypothesis, there exist ##1,2,...,n## such that ##f(A) \subset \bigcup\limits_{j=1}^n C_{i_j}##. Now let ##\{F_i\}_{i \in \mathbb I}## be an open covering of ##A##, I want to prove that there is a finite subcover that can be extracted from ##\{F_i\}_{i \in \mathbb I}##.

Hmm, I got stuck here, I could take ##f^{-1}(\{\bigcup\limits_{j=1}^n C_{i_j}\})=A## and this a finite open cover of ##A##. But how can I use this in order to extract a finite subcover of ##\{F_i\}_{i \in \mathbb I}##?

I don't think you'll succeed in this approach without using some properties of [itex]\mathbb{R}^n[/itex] and [itex]\mathbb{R}[/itex].

Aside from anything else, the proposition
Let [itex]X[/itex] and [itex]Y[/itex] be topological spaces. If, for every continuous [itex]f: X \to Y[/itex], we have that [itex]f(X)[/itex] is compact, then [itex]X[/itex] is compact.
is false: Take [itex]X = \mathbb{R}[/itex] and [itex]Y = \{0,1\}[/itex] in the discrete topology. Then either [itex]f(X) = \{0\}[/itex] or [itex]f(X) = \{1\}[/itex], both of which are compact, but [itex]X = \mathbb{R}[/itex] is not compact.

The same example shows that restricting [itex]X[/itex] and [itex]Y[/itex] to be complete metric spaces doesn't make the proposition true. Something further is needed.

I think the crucial point when [itex]Y = \mathbb{R}[/itex] is that you can fix [itex]x_0 \in X[/itex] and consider [itex]f: x \mapsto d_X(x,x_0)[/itex].
 
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  • #10
pasmith said:
I don't think you'll succeed in this approach without using some properties of [itex]\mathbb{R}^n[/itex] and [itex]\mathbb{R}[/itex].

Aside from anything else, the proposition

is false: Take [itex]X = \mathbb{R}[/itex] and [itex]Y = \{0,1\}[/itex] in the discrete topology. Then either [itex]f(X) = \{0\}[/itex] or [itex]f(X) = \{1\}[/itex], both of which are compact, but [itex]X = \mathbb{R}[/itex] is not compact.

The same example shows that restricting [itex]X[/itex] and [itex]Y[/itex] to be complete metric spaces doesn't make the proposition true. Something further is needed.

I think the crucial point when [itex]Y = \mathbb{R}[/itex] is that you can fix [itex]x_0 \in X[/itex] and consider [itex]f: x \mapsto d_X(x,x_0)[/itex].

pasmith: Thank you for this information. Of course I wasn't thinking about discrete topologies. I'm wondering whether there is any information about general conditions where f continuous and f(A) compact do imply that A is compact.
 
  • #11
brmath said:
pasmith: Thank you for this information. Of course I wasn't thinking about discrete topologies. I'm wondering whether there is any information about general conditions where f continuous and f(A) compact do imply that A is compact.

So far the most general proposition that I can prove is:

Let [itex](X,d)[/itex] be a complete metric space having the property that every bounded subset of [itex]X[/itex] is totally bounded, and let [itex]A \subset X[/itex]. If for every continuous [itex]f : A \to \mathbb{R}[/itex] we have that [itex]f(A)[/itex] is compact then [itex]A[/itex] is compact.

Proof: Fix [itex]x_0 \in A[/itex] and consider the function [itex]f: x \mapsto d(x,x_0)[/itex]. This is continuous, so [itex]f(A)[/itex] is compact. Hence [itex]A[/itex] is closed and bounded. Since [itex]A \subset X[/itex] is closed it is complete and since [itex]A[/itex] is bounded it is totally bounded. Thus [itex]A[/itex] is compact.

The point is that boundedness does not imply total boundedness, which is necessary for compactness.

[itex]X = \mathbb{R}^n[/itex] satisfies the premises of this proposition because it is complete and bounded subsets of [itex]\mathbb{R}^n[/itex] are totally bounded.
 
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FAQ: Compact image under every continuous function

What is a compact image under every continuous function?

A compact image under every continuous function is a set of points in the range of a continuous function that can be mapped to by the points in the domain of the function, and can be covered by a finite number of open sets.

What is the importance of compact images under every continuous function?

The concept of compact images under every continuous function is important in topology and analysis, as it characterizes a special type of set that has many useful properties. It allows for the compactness of a set to be preserved under continuous functions, making it easier to study and analyze.

How is a compact image under every continuous function related to compact spaces?

A compact image under every continuous function is a subset of a compact space. However, not all compact spaces have compact images under every continuous function. This means that compact images under every continuous function are a special subset of compact spaces.

Can all continuous functions have compact images?

No, not all continuous functions have compact images. Only functions that map compact spaces to compact spaces have compact images. The existence of compact images under every continuous function depends on the properties of the spaces being mapped.

How is the concept of compact images under every continuous function used in real-world applications?

The concept of compact images under every continuous function is used in many real-world applications, such as optimization problems, image processing, and data analysis. It allows for the simplification of complex systems and helps to identify important features in a dataset.

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