Prove Continuous Functions in X and Y When E and F Are Both Closed

In summary, it seems like I'm not able to prove that h is continuous for functions that take on a single value in the intersection of E and F closed.
  • #1
gonzo
277
0
I'm having trouble with the third part of a three part problem (part of the problem is that I don't even see how what I'm trying to prove can be true).

The problem is:

Let X and Y be topological spaces with X=E u F. We have two functions: f: from E to Y, and g: from F to Y, with f=g on the intersection of E and F. f and g are continuous with respect to the relative topologies. We are interested in the function h=f u g, from X into Y.

There were three questions and the one I can't get is to prove that if E and F are both closed then h is continuous.

The problem is this doesn't seem to be true to me. Nothing is said about which topologies are used, so we can assume pretty much anything for Y. Now the intersection of E and F is closed, since they are both closed. We can then assume Y takes on a single value in this intersection (for example, if graphing on the real line we could have E=[0,2] and F=[1,3] then the intersection = [1,2], and then we could have h be a trapezoidal function ... f(X)=x if x is in [0,1] f(x)=g(x)=1 if x is in [1,2], and g(x)=3-x if x is in [2,3] ... if we assume that {1} is an open set in Y, then the inverse image is the closed set [1,2] in X, so this isn't continuous under these topologies).

Clearly I am missing something and my reasoning must be off. Any help would be appeciated.
 
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  • #2
gonzo said:
Nothing is said about which topologies are used, so we can assume pretty much anything for Y.
Something is said; f and g are continuous...
 
Last edited:
  • #3
That doesn't help me.
 
  • #4
Obviously the continuity is the limitation on the topologies here and the problem must turn on that point. But I don't see how to work out a proof from that (even if I could maybe see how it applies to my specific bad example).
 
  • #5
gonzo said:
The problem is this doesn't seem to be true to me. Nothing is said about which topologies are used, so we can assume pretty much anything for Y. Now the intersection of E and F is closed, since they are both closed. We can then assume Y takes on a single value in this intersection (for example, if graphing on the real line we could have E=[0,2] and F=[1,3] then the intersection = [1,2], and then we could have h be a trapezoidal function ... f(X)=x if x is in [0,1] f(x)=g(x)=1 if x is in [1,2], and g(x)=3-x if x is in [2,3] ... if we assume that {1} is an open set in Y, then the inverse image is the closed set [1,2] in X, so this isn't continuous under these topologies).

if {1} is an open set in Y then your functions f and g are not continuous either because the inverse image [1,2] is not an open set (i asume that you are using the standard topologies on [0,2] and [1,3])
 
  • #6
Okay, we can forget my example. It was a bad example. But still don't see how to start on a positive proof. I was able to do it for E and F open, but I seem to run into problems for them both closed.
 
  • #7
gonzo said:
Okay, we can forget my example. It was a bad example. But still don't see how to start on a positive proof. I was able to do it for E and F open, but I seem to run into problems for them both closed.

dear gonzo
in your problem there are 4 tolpological spaces to consider:
[tex] (X, \mathbf{X}) , (Y,\mathbf{Y}),(E,\mathbf{E}) [/tex]and[tex] (F,\mathbf {F})[/tex].
you know that [tex]E [/tex] and [tex]F[/tex] are closed in [tex] (X, \mathbf{X}) [/tex].
the proof will consist of the following steps:
1.prove a map [tex] h : X \rightarrow Y[/tex] is continuous if the preimage of any closed subset of [tex] Y [/tex] is a closed subset of [tex] X [/tex].
2. Prove if a subset [tex]A[/tex] of [tex] E[/tex] is closed in [tex] (E,\mathbf{E})[/tex] than [tex]A[/tex] is closed in [tex] (X,\mathbf{X})[/tex]. the same holds for closed subsets of [tex] (F,\mathbf{F}) [/tex]
3. use 1 and 2 to prove that h is continuous
 
  • #8
Thanks, dalle. That seemed to be helpful, but I ran into a problem.

1. I have as a theorem I can use directly

I thought I could prove 2. easily, but the problem was it didn't seem to depend on E or F being closed.

Then I seem to be making some leap again to the final proof that doesn't depend on E and F being closed ... which is wrong, since the first part of the problem is an example where they are not both open nor both closed and h is not continuous.

I'm not sure where I need to bring in the fact the E and F are closed.
 
  • #9
let us consider the following example first:
let [tex] X = \mathbf{R} [/tex] with the usual topology and [tex] E[/tex] =(-1,1). [tex] E [/tex] is not closed in [tex] (X,\mathbf{X}) [/tex]. The set [tex] A [/tex]= (-1,0] is closed in [tex] (E,\mathbf{E}) [/tex] but it is not closed in [tex] \mathbf{R} [/tex] . [tex] A \subset E [/tex] is a closed subset with respect to [tex] (E,\mathbf{E}) [/tex] does not imply that [tex] A [/tex] is closed in [tex] (X,\mathbf{X}) [/tex].

Let [tex] C [/tex] be a closed set in [tex] (Y,\mathbf{Y}) [/tex]. you know that [tex] C_f =f^{-1}(C)[/tex] is closed in [tex] (E,\mathbf{E} )[/tex] and [tex] C_g =g^{-1}(C)[/tex] is closed in [tex] (F,\mathbf{F}) [/tex].

For h to be continuous you have to show that [tex] C_f \cup C_g = h^{-1}(C) [/tex] is a closed set in [tex] (X,\mathbf{X}) [/tex].
 
  • #10
Okay, I think I'm making progress now. If [tex]G_E \in (E,\mathbf{E})[/tex] is open, then we have [tex]G_E = G \cap E[/tex] for some open set G in X.

This means that [tex]G_E^c=G^c \cap E[/tex] where [tex]G_E^c[/tex] is the complement of [tex]G_E[/tex] in E and thus an arbitrary closed set in E. Since E is closed and the intersection of two closed sets is closed, we have shown that [tex]G_E^c[/tex] is also closed in X, and the same applies for F. So that's step one.

Now the union of two closed sets is closed, so that should be the final step, right? Am I still missing something?

Thanks for all your help by the way.
 
  • #11
It doesn't look like you're using the continuity of f or g at all, and this is pretty vital here.
 
  • #12
the continuity is what says that the inverse image of any closed set is closed, and dalle wrote in his last post. My comment on the union of two closed sets was responding to that.
 

1. What is the definition of a continuous function?

A continuous function is a function that does not have any sudden jumps or breaks in its graph. In other words, the graph of a continuous function can be drawn without lifting your pencil from the paper.

2. How do you prove that a function is continuous?

To prove that a function is continuous, you need to show that the limit of the function as the input approaches a certain value is equal to the output of the function at that value. This can be done using the epsilon-delta definition of continuity or by showing that the function satisfies the three conditions of continuity: the function is defined at the point, the limit exists at the point, and the limit is equal to the function value at the point.

3. What is the role of closed sets in proving continuity?

Closed sets are important in proving continuity because they provide a natural boundary for the function. If the sets in both the domain and range of a function are closed, it becomes easier to prove that the limit of the function exists at a certain point. Closed sets also help to ensure that the function does not have any sudden jumps or breaks in its graph.

4. Can a function be continuous on an open set but not on a closed set?

Yes, it is possible for a function to be continuous on an open set but not on a closed set. This is because a function can have a limit at a certain point in an open set, but not at the same point in a closed set. This is why it is important to specify whether a function is continuous on an open or closed set.

5. How does continuity of a function relate to its differentiability?

Continuity and differentiability are closely related, but they are not the same. A function can be continuous but not differentiable, but a function cannot be differentiable if it is not continuous. This means that if a function is differentiable, it must also be continuous. However, a function can be continuous without being differentiable at a certain point, such as at a sharp point or corner in its graph.

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