Why Is the Heine-Borel Theorem Unique to ℝ?

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In summary, the R metric topology is a special type of metric that is used to describe spaces with rational numbers.
  • #1
Buri
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In R we have the following result:

A set C is compact if and only if it is closed and bounded. However, the converse of this statement isn't always true in a general metric space. What makes R so special? Or in other words, what conditions would I need on an arbitrary metric space for the converse to hold?

This is something I was just thinking about, any ideas would be appreciated!
 
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  • #2
What makes R so special?

It is complete.

what conditions would I need on an arbitrary metric space for the converse to hold?

You'll want to consider sets that are not just bounded but totally bounded (or pre-compact).
 
  • #3
Hmm I'm going to have to take a closer look at this. Thanks
 
  • #4
Having a complete metric space isn't enough. For instance, consider the complete metric space ℓ of bounded sequences of real numbers, with the sup norm. Then the closed unit ball is closed and bounded, but not compact.

Now, if you have a complete metric space where bounded sets are totally bounded, then closed and bounded subsets are compact.
 
  • #5
Hmm I'm having troubles understanding what totally bounded means...can someone help me out? It just seems that 'totally bounded' has the same definition of compactness :S So maybe I'm not understanding something?
 
  • #6
A subset A of a metric space X is totally bounded if for every r > 0, there is a finite open cover of A by open balls of radius r.
 
  • #7
Buri said:
In R we have the following result:

A set C is compact if and only if it is closed and bounded. However, the converse of this statement isn't always true in a general metric space. What makes R so special? Or in other words, what conditions would I need on an arbitrary metric space for the converse to hold?

This is something I was just thinking about, any ideas would be appreciated!

What about this metric space?

take the unit disk in the Euclidean plane and define the distance between two points to be the sum of the lengths of the two line segments that connect the two points to the origin. The disk is bounded and closed under this metric.

Consider an open cover by intervals that lie completely on the line segments through the origin. There is no finite subcover. In fact there is no countable subcover.
 
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  • #8
lavinia said:
define the distance between two points to be the sum of the lengths of the two line segments that connect the two points to the origin.

That's not a metric: if a point x is not at the origin, then d(x,x) is not zero.
 
  • #9
adriank said:
That's not a metric: if a point x is not at the origin, then d(x,x) is not zero.

OK mia culpa for being a little inaccurate. You get a metric if you take the usual distance between two points if they are on the same segment to the origin and take the sum if they are not. This is a good example of a complete bounded metric space that is not compact I think.
 
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  • #10
So wait I'm getting confused now lol Is complete and totally bounded enough then?
 
  • #11
Buri said:
So wait I'm getting confused now lol Is complete and totally bounded enough then?

I don't think the example I posted is totally bounded.
 
  • #12
Here is a simpler example in which "closed and bounded" does not imply "compact. Let A be an infinite set and define d(x,y)= 1 if [itex]x\ne y[/itex], d(x, x)= 0. That is a metric and, since the distance between any two distinct points is never less than 1, the neighborhood of point x, with radius 1/2 (or any number less than 1) is just the singleton set {x} itself.

That means that every singleton set {x} is open and, since any set can be written as a union of its singleton subsets, every set is open. Since a set is closed if an only if it is the complement of an open set, and every set is the complement of some set, it follows that every set is closed. That is, every set is both closed and bounded. This is the "discrete topology" on A.

Since the distance between two points is never larger than one, every set is bounded. In this metric, every set is both closed and bounded.

But it is easy to see that infinite sets are not compact. Given an infinite set, X, the collection of all singleton sub-sets is an open cover. Since every point in the set X is in one and only one of the subsets, we cannot remove any of them and so cannot have a finite subcover.

But the really important example of a space in which there exist closed and bounded sets that are not compact is the Rational numbers, with the metric topology defined by d(x,y)= |x- y|.

Let [itex]A= \{x \in Q| x\ge 0, x^2\le 2[/itex]. That is a closed and bounded set of rational numbers. Let [itex]\{x_n\}[/itex] be a sequence of rational numbers converging to the irrational number [itex]\sqrt{2}[/itex]. Then the collection of open sets [itex]\{0< x< x_n, x\in Q\} is an open cover for A which has no finite subcover.
 
  • #13
HallsofIvy said:
Here is a simpler example in which "closed and bounded" does not imply "compact. Let A be an infinite set and define d(x,y)= 1 if [itex]x\ne y[/itex], d(x, x)= 0. That is a metric and, since the distance between any two distinct points is never less than 1, the neighborhood of point x, with radius 1/2 (or any number less than 1) is just the singleton set {x} itself.

That means that every singleton set {x} is open and, since any set can be written as a union of its singleton subsets, every set is open. Since a set is closed if an only if it is the complement of an open set, and every set is the complement of some set, it follows that every set is closed. That is, every set is both closed and bounded. This is the "discrete topology" on A.

Since the distance between two points is never larger than one, every set is bounded. In this metric, every set is both closed and bounded.

But it is easy to see that infinite sets are not compact. Given an infinite set, X, the collection of all singleton sub-sets is an open cover. Since every point in the set X is in one and only one of the subsets, we cannot remove any of them and so cannot have a finite subcover.

But the really important example of a space in which there exist closed and bounded sets that are not compact is the Rational numbers, with the metric topology defined by d(x,y)= |x- y|.

Let [itex]A= \{x \in Q| x\ge 0, x^2\le 2[/itex]. That is a closed and bounded set of rational numbers. Let [itex]\{x_n\}[/itex] be a sequence of rational numbers converging to the irrational number [itex]\sqrt{2}[/itex]. Then the collection of open sets [itex]\{0< x< x_n, x\in Q\} is an open cover for A which has no finite subcover.

A metric space must be complete and totally bounded to be compact. The example of the rationals is not complete. Closed is not enough since every topological space is closed. If the space is not complete then a Cauchy sequence that fails to converge will inherit the discrete topology.
 
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  • #14
I was talking to a professor the other day and he said the space had to be complete and separable for this to be true. Is that correct? I have a feeling it isn't lol
 
  • #15
You should have asked him for a proof.
Every compact metric space is separable.
 

FAQ: Why Is the Heine-Borel Theorem Unique to ℝ?

What is the definition of compactness in metric spaces?

Compactness is a property of a metric space that describes the behavior of sequences, specifically the existence of subsequences that converge to points within the space. A metric space is said to be compact if every sequence in the space has a convergent subsequence.

How is compactness different from completeness in metric spaces?

Completeness is another property of metric spaces that describes the behavior of sequences. A metric space is complete if every Cauchy sequence in the space converges to a point within the space. While completeness implies compactness, the reverse is not always true. A compact metric space is not necessarily complete.

What are some examples of compact metric spaces?

Some examples of compact metric spaces include closed and bounded intervals on the real number line, such as [0,1], as well as finite sets with the discrete metric. The Cantor set, Sierpinski triangle, and Koch curve are also examples of compact metric spaces.

How does the notion of compactness relate to the Heine-Borel theorem?

The Heine-Borel theorem states that a subset of Euclidean space is compact if and only if it is closed and bounded. This theorem can be extended to metric spaces, where a subset is compact if and only if it is complete and totally bounded. The Heine-Borel theorem is a useful tool for determining whether a metric space is compact.

Can a non-compact metric space have a compact subset?

Yes, a non-compact metric space can have a compact subset. For example, the interval [0,1] is a compact subset of the non-compact metric space R (the set of all real numbers). This is because [0,1] is both closed and bounded, satisfying the criteria for compactness in the Heine-Borel theorem.

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