Understanding Compact Sets and Their Role in Continuity

In summary, the professor said that a function may not be continuous on a non compact set if it loops around one of the endpoints. However, this looped interval can be made compact by removing one of the endpoints.
  • #1
darkSun
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I'm taking real analysis and struggling a bit. In class today our professor was saying something about how a function may not be continuous on a non compact set or something, but anyway, he drew the closed interval from 0 to 1 but looped one end back to the middle of the interval.

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Kind of like this, so that an end point and some point in the middle coincide. So my question is, why isn't the looped interval [a,b] compact? Wouldn't it be compact for the same reason [a,b], that is, wouldn't it have the same finite subcover?
 
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  • #2
I think this is what he was referring to:

Let's say the loop brings the point b to the midpoint (a+b)/2. Then if you have a cover of [a,b) you covered b also since it's the same point as (a+b)/2. But [a,b) can have bad covers. For example with the interval [0,1] with 1 looped around to 1/2 the sets [0,1-1/n) are open and cover [0,1] in this case, but there is no finite subcover.

This is a subtle topological point; in the normal induced topology from R2 those are not open sets, but the point is you can define a topology on the loop that makes it non-compact.
 
  • #3
Oh I understand! It's basically the same interval except an endpoint or a point in the middle is removed, and I can see why that would be non-compact. Thank you, Office_Shredder.

And this is kinda unrelated, but the definition of compactness using open covers and finite subcovers seems really weird to me. And it seems very difficult to use this definition when proving whether or not metric spaces are compact. Is this definition used like this often? Seems very clunky to me.
 
  • #4
It is cluncky, but at least it gets to what compactness is about. Compactness is the next best thing to finiteness.
 
  • #5
I think I've heard that before!
 
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  • #6
darkSun said:
And this is kinda unrelated, but the definition of compactness using open covers and finite subcovers seems really weird to me. And it seems very difficult to use this definition when proving whether or not metric spaces are compact. Is this definition used like this often? Seems very clunky to me.

Um, I actually find the definition fairly intuitive/visual? My analysis teacher introduced the concept today, and this is really the first time it's been mentioned in the course. I've studied sequential compactness before, so I can see how the open cover definition might be harder to use. Or rather, I would say if you're not familiar with proving the various topological theorems (of course with the exception of compactness theorems... the concept is usually introduced after the basics have been covered) in the context of metric spaces, then compactness proofs may seem weird.

But once you are comfortable with working with open balls and such, theorems such as compactness implies closed and bounded and say, a closed subset of a compact set is compact can be gotten just by drawing out the geometric situation and thinking (basically what our teacher did for these two proofs, the third was about the continuous image of a compact set being compact, which is also much cleaner than the proof for the corresponding theorem for sequential compactness).
 
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  • #7
It would help if our teacher made it more intuitive w/ geometry or something... I've had no exposure to topology so this is very new to me. But ill try to think of it like you said, and as an analogue of continuous sets. Thanks
 

FAQ: Understanding Compact Sets and Their Role in Continuity

What is a compact set?

A compact set in mathematics is a set that is closed and bounded, meaning it contains all its limit points and it is finite or has finite distance between its points.

How do you determine if a set is compact?

To determine if a set is compact, you can use the Heine-Borel theorem which states that a set in a metric space is compact if and only if it is closed and bounded.

What is the significance of compact sets in mathematics?

Compact sets play an important role in many areas of mathematics, such as analysis, topology, and geometry. They allow for the study of continuity, convergence, and compactness, and are useful in proving theorems and solving problems.

Are all closed and bounded sets compact?

No, not all closed and bounded sets are compact. In some cases, a set may be closed and bounded but not finite or have finite distance between its points, which would violate the definition of a compact set.

How are compact sets used in real-world applications?

Compact sets have many practical applications, such as in computer science for data compression and optimization algorithms, in economics for optimization of resource allocation, and in physics for studying the behavior of physical systems.

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