Proof about compact metric spaces.

In summary, the conversation discusses the concept of compactness in a metric space and its relationship to coverings. It is stated that a compact set is closed and bounded, and a subset of a compact metric space may not necessarily be compact. The definition of compactness is also mentioned, as well as the definitions for sequential and covering compactness. The conversation ends with a question about constructing a sequence that converges to a given collection in a metric space.
  • #1
Demon117
165
1
1. Let M be a compact metric space. If r>0, show that there is a finite set S in M such that every point of M is within r units of some point in S.



2. Relevant theorems & Definitions:

-Every compact set is closed and bounded.

-A subset S of a metric space M is sequentially compact if every sequence in S has a subsequence that converges to a limit in S.

-If every open covering of S reduces to a finite subcovering then we say that S is covering compact.




3. Attempt at the solution

To begin with I don't completely understand coverings. So I am unsure whether I should use the sequential definition or the covering definition. Could someone please explain coverings?

I also wondered if S is a subset of a compact metric space, does it follow that S is compact?

INFORMAL PROOF: Since M is compact, it follows that every sequence in M has a convergent subsequence in M. Need to show that for any point in M is within some distance from a point in S. Let [tex]m_{k_{j}}[/tex] be such a subsequence. So for [tex]\epsilon>0[/tex] there exists N such that [tex]m_{k_{j}}[/tex] is within [tex]\epsilon[/tex] units of some point, call it m.

Not sure where to go from here.
 
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  • #2
What's the definition of compactness? Consider the collection {B(x, r) : x is in M and r > 0}.
 
  • #3
Regarding your second question, this is not true. But it is true that a closed subspace of a compact space is itself compact.

Edit: a simple counterexample is the closed unit interval [0, 1] which is compact, but <0, 1> is a subset of [0, 1] which is not compact.
 
  • #4
radou said:
What's the definition of compactness? Consider the collection {B(x, r) : x is in M and r > 0}.

The definition for sequential compactness is that for any sequence in M there is a subsequence which converges to some point in M.

If the collection {B(x,r)|x in M and r>0} is contained in M, could we construct some sequence which converges to the collection? I am not sure what you mean by this collection entirely.
 

1. What is a compact metric space?

A compact metric space is a mathematical concept that describes a set of points (space) where every sequence of points has a limit point within that space. It is a fundamental concept in topology and analysis, and is often used to describe the properties of closed and bounded sets.

2. How is compactness defined for a metric space?

A metric space is compact if and only if every open cover of the space has a finite subcover. In other words, for every collection of open sets that covers the space, there exists a finite subcollection that also covers the space. This definition ensures that compact metric spaces have a finite size and do not have any 'holes' or 'gaps'.

3. What is the importance of compact metric spaces in mathematics?

Compact metric spaces play a crucial role in many areas of mathematics, including topology, analysis, and geometry. They have important applications in the study of continuous functions, convergence, and completeness of metric spaces. Additionally, many theorems and concepts in mathematics rely on the properties of compact metric spaces, making them a fundamental concept in the field.

4. Can you give an example of a compact metric space?

One example of a compact metric space is the unit interval [0,1] with the usual metric. This space satisfies the definition of compactness, as any open cover of the unit interval can be reduced to a finite subcover.

5. How are compact metric spaces related to compactness in general?

Compact metric spaces are a special case of compact spaces in general. A metric space is compact if and only if it is sequentially compact, Hausdorff, and totally bounded. These properties ensure that a metric space is compact in the topological sense, meaning that it is closed and bounded. However, not all compact spaces are metric spaces, as there are other topological spaces that can also be compact.

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