Math 2.0

statement theorem

Compactness and sequential compactness agree in metric spaces

Statement

Let (X,d)(X, d) be a metric space and let K⊆XK \subseteq X. Then KK is compact if and only if KK is sequentially compact.

Remarks

One proof of the hard direction uses the Lebesgue number lemma and the fact that a sequentially compact metric space is totally bounded. Both conditions are also equivalent to: KK is complete and totally bounded. This is the statement compact iff complete and totally bounded. Without a metric, the two notions differ. For example, the product {0,1}[0,1]\{0, 1\}^{[0, 1]} is compact but not sequentially compact.

Explanations

L1 human

In a metric space, you can test compactness with sequences. A set is compact exactly when each sequence in it has a subsequence with a limit in the set. This test is often easier than the test with open covers.

What this node needs for W1
  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a node is. They do not measure its truth.

What depends on this

4 nodes use this node, directly or through other nodes.

Sources

  1. Web https://en.wikipedia.org/wiki/Compact_space, Metric spaces
  2. Web https://en.wikipedia.org/wiki/Sequentially_compact_space, Examples and properties