Proving a set is compact

Your Name]In summary, to prove that K is compact, we need to show that it is both closed and bounded. To show that K is closed, we can use the fact that the complement of a closed set is open and prove that Kc is open. This can be done by considering an arbitrary point in Kc and showing that a ball around that point is completely contained in Kc. To show that K is bounded, we can use the fact that any closed and bounded set in R² is compact. Therefore, K is also compact.
  • #1
missavvy
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Homework Statement



Prove that K = {(x,y) | y[tex]\geq[/tex]0, x2 + y2 [tex]\leq[/tex] 4 } is compact.

Homework Equations





The Attempt at a Solution



So a set is compact iff it's closed and bounded.
Closed:
Should I try to show that Kc is open? So that for any point x in the compliment there is r>0 s/t B(x,r) is in Kc.
Or is it better to try contradiction, assuming that there is some sequence in K, {vn} that converges to v in Kc.
Then v = {(x,y) | y < 0 or x2 + y2 > 4}.
If I were to do this, how can I come up with a sequence? Because that means this would have to work for all sequences right?

Thanksssss!
 
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To prove that K is compact, we need to show that it is both closed and bounded. Let's start with showing that K is closed.

To show that K is closed, we can use the fact that the complement of a closed set is open. So, we need to show that Kc is open. Let's take an arbitrary point (x,y) in Kc. This means that either y < 0 or x² + y² > 4. Let's consider the case where y < 0. In this case, we can choose r = -y/2, which is greater than 0. Then, for any point (a,b) in B((x,y),r), we have that b < y + r = -y/2 + y = y/2 < 0. This means that B((x,y),r) is completely contained in Kc, showing that Kc is open. The case where x² + y² > 4 can be shown similarly.

Now, to show that K is bounded, we can use the fact that any closed and bounded set in R² is compact. We can see that K is bounded since the set of points (x,y) satisfying x² + y² ≤ 4 is a disk of radius 2 centered at the origin, which is clearly bounded. Therefore, K is also compact.

I hope this helps. Let me know if you have any further questions.


 

1. What does it mean for a set to be compact?

A set is considered compact if it is both closed and bounded. This means that the set contains all of its limit points and can be enclosed within a finite range of values. In other words, a compact set is a set that is not missing any points and can be contained within a finite region.

2. How do you prove that a set is compact?

To prove that a set is compact, you must show that it is both closed and bounded. This can be done by using the definition of compactness and showing that the set satisfies these conditions. Alternatively, you can use the Heine-Borel theorem, which states that a set in Euclidean space is compact if and only if it is closed and bounded.

3. Can a set be compact in one metric space but not in another?

Yes, a set can be compact in one metric space but not in another. This is because the concept of compactness depends on the topology of the space. Different metric spaces may have different topologies, leading to different definitions of compactness. Therefore, a set that is compact in one metric space may not necessarily be compact in another.

4. Is every closed and bounded set compact?

No, not every closed and bounded set is compact. A set must satisfy additional conditions, such as being in a metric space or satisfying the Heine-Borel theorem, to be considered compact. There are also examples of sets that are closed and bounded but not compact, such as the set of rational numbers.

5. What are some applications of compact sets in science?

Compact sets have various applications in science, including in analysis, topology, and physics. In analysis, compact sets are used to prove the convergence of sequences and series. In topology, compact sets help to define and classify different types of spaces. In physics, compact sets are used to study the behavior of physical systems, such as in the study of phase transitions and energy states of particles.

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