Does the Compactness Property Hold for Finite Subcollections of a Metric Space?

In summary, we discussed the proof of Theorem 2.36 in Rudin, which states that the intersection of a collection of compact subsets of a metric space is nonempty if the intersection of every finite subcollection is nonempty. The proof uses the method of indirect proof, or proof by contradiction, by assuming the opposite of the theorem is true and arriving at a contradiction. This proves that the theorem is indeed true. The contrapositive of a statement is also discussed, which states that a statement is true if and only if its contrapositive is true.
  • #1
mynameisfunk
125
0
Hey guys, sorry for practically flooding the forum today but I have an analysis exam and nobody is more helpful than phys forum folk.

I am having trouble understanding a line in Rudin. Thm 2.36:
If {[tex]K_{\alpha}[/tex]} is a collection of compact subsets of a metric space X s.t. the intersection of every finite subcollection of {[tex]K_{\alpha}[/tex]} is nonempty, then [tex]\bigcap K_{\alpha}[/tex] is nonempty.

pf:
Fix a member [itex]K_1[/itex] of {[itex]K_{\alpha}[/itex]} and put [itex]G_{\alpha}=K^{c}_{\alpha}[/itex]. Assume that no point of [itex]K_1[/itex] belongs to every [itex]K_{\alpha}[/itex]. Then the sets [itex]G_{\alpha}[/itex] form an open cover of [itex]K_1[/itex]; and since [itex]K_1[/itex] is compact, there are finitely many indices [itex]\alpha_1,...,\alpha_n[/itex] such that [itex]K_1 \subset G_{\alpha_{1}} \cup... \cup G_{\alpha_{n}}[/itex]. But this means that [itex]K_1 \cap K_{\alpha_{2}} \cap... \cap K_{\alpha_{n}}[/itex] is empty, in contradiction to our hypothesis.



I do not see how this proves anything. We are assuming the opposite of the theorem is true and we arrive at the opposite of our result, but that shouldn't really constitute a proof should it?
 
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  • #2
mynameisfunk said:
Hey guys, sorry for practically flooding the forum today but I have an analysis exam and nobody is more helpful than phys forum folk.

I am having trouble understanding a line in Rudin. Thm 2.36:
If {[tex]K_{\alpha}[/tex]} is a collection of compact subsets of a metric space X s.t. the intersection of every finite subcollection of {[tex]K_{\alpha}[/tex]} is nonempty, then [tex]\bigcap K_{\alpha}[/tex] is nonempty.

pf:
Fix a member [itex]K_1[/itex] of {[itex]K_{\alpha}[/itex]} and put [itex]G_{\alpha}=K^{c}_{\alpha}[/itex]. Assume that no point of [itex]K_1[/itex] belongs to every [itex]K_{\alpha}[/itex]. Then the sets [itex]G_{\alpha}[/itex] form an open cover of [itex]K_1[/itex]; and since [itex]K_1[/itex] is compact, there are finitely many indices [itex]\alpha_1,...,\alpha_n[/itex] such that [itex]K_1 \subset G_{\alpha_{1}} \cup... \cup G_{\alpha_{n}}[/itex]. But this means that [itex]K_1 \cap K_{\alpha_{2}} \cap... \cap K_{\alpha_{n}}[/itex] is empty, in contradiction to our hypothesis.



I do not see how this proves anything. We are assuming the opposite of the theorem is true and we arrive at the opposite of our result, but that shouldn't really constitute a proof should it?

Yes, that is a valid proof.

The method is indirect proof, or proof by contradiction. You want to prove a statement S. You start by assuming S is false. This leads to a contradiction. The conclusion is that your assumption that S is false is incorrect, i.e. S is true.
 
  • #3
I am kind of confused by the form of proving if X is true then Y is true by saying If Y isn't true then X isn't true. It seems like it is not disproving that if X is true then Y may still not be true.
 
  • #4
"It seems like it is not disproving that if X is true then Y may still not be true. "

But since we proved "If Y isn't true then X isn't true", such situation clearly cannot happen.
 
  • #5
The "contrapositive" of the statement "if P then Q" is "if not Q then not P". Notice that we have not only changed each part to "not", we have swapped hypotheses and conclusion.

If the hypotheses cannot be true when the conclusion is false then knowing that the hypothesis is true tells us that the conclusion is true. A statement is true if and only if its contrapositive is true.
 

1. What is the Compactness Property?

The Compactness Property is a mathematical concept that states if a set of points in a metric space has a finite open cover, then it also has a finite subcover. In simpler terms, it means that if a set can be covered by a collection of smaller sets, then it can also be covered by a finite number of smaller sets.

2. How is the Compactness Property proven?

The Compactness Property can be proven using a proof by contradiction. This involves assuming that the property is not true and then showing that this leads to a contradiction. In other words, we assume that there is an infinite subcover and then show that this leads to a contradiction, thus proving the Compactness Property.

3. What is the importance of the Compactness Property?

The Compactness Property is a fundamental concept in topology and analysis. It is used to prove many theorems and is an important tool for understanding the behavior of functions and sets in mathematics. It also has applications in other fields such as physics and computer science.

4. Can the Compactness Property be extended to other spaces?

Yes, the Compactness Property can be extended to other spaces such as topological spaces and normed spaces. However, the definition and proof may differ slightly depending on the specific space. In general, the Compactness Property can be applied to any space that satisfies the requirements of a metric space.

5. Are there any real-life applications of the Compactness Property?

Yes, the Compactness Property has many real-life applications. For example, it is used in computer science to optimize algorithms and in physics to understand the behavior of particles. It is also applied in economics and game theory to analyze the behavior of markets and players. Additionally, the Compactness Property has applications in engineering, biology, and many other fields.

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