Proving Sequential Compactness for Metric Spaces: Tips and Tricks

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In summary, the proof to show that any sequentially compact metric space is totally bounded involves using a proof by contradiction and showing that if the space is not totally bounded, then there exists a sequence with no convergent subsequence. This result is also part of the proof that sequentially compact implies compact for a metrizable space.
  • #1
Ja4Coltrane
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Hello.
I'm trying to prove that any sequentially compact metric space is totally bounded (where totally bounded means that for any epsilon > 0, there exists a finite open covering for the space consisting only of balls of radius epsilon.

Does anyone have any advice for proving this? I realize that one thing is that seq compactness => compactness => totally bounded, but I'd like to avoid this if possible...

Thanks!
 
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  • #2
This result is in fact part of the proof that sequentially compact implies compact for a metrizable space X in Munkres' Topology (§28 in the second edition), so one better not use sequentially compact ⇒ compact to prove this!

The proof is one by contradiction that goes roughly like this: Suppose there is an ε > 0 such that X can't be covered by finitely many ε-balls. Let x1 be any point of X, and in general pick xn+1 in X that is not in any ε-ball centered at a previous point (since these ε-balls do not cover X). Argue that the sequence (xn) has no convergent subsequence. (Consider the distance between any pair of points in the sequence.)
 
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  • #3
compact is equivalent to complete and totally bounded. totally bounded means every sequence has a cauchy subsequence, which then converges by completeness.

so the previous post no doubt describes how, in the absence of total boundedness, to construct a sequence with no cauchy subsequence.
 

FAQ: Proving Sequential Compactness for Metric Spaces: Tips and Tricks

What is sequential compactness?

Sequential compactness is a property of a metric space, meaning that every sequence in the space has a convergent subsequence.

How is sequential compactness different from compactness?

Sequential compactness is a weaker condition than compactness, as it only requires that sequences have convergent subsequences, while compactness requires that every open cover has a finite subcover.

What is the importance of sequential compactness in mathematics?

Sequential compactness is important in analysis and topology, as it allows for the study of infinite sequences in metric spaces and helps to prove the existence of limits in certain cases.

Can you give an example of a sequentially compact space?

Yes, the interval [0,1] in the standard topology is sequentially compact, as every sequence in the interval has a convergent subsequence that also converges to a point in the interval.

Is sequential compactness equivalent to countable compactness?

No, sequential compactness is not equivalent to countable compactness. While every countably compact space is sequentially compact, the converse is not always true.

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