0.1 (§27) Compact subspaces of the real line
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Thm. Every closed interval is compact.
Proof. Let , . Show (an open reaches back past some ), then (otherwise reaches past ). Least upper bound property again.
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Thm. is compact is closed and bounded.
Proof. : is closed inside some . : cover by the cubes ; and Hausdorff gives closed.
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Ex. , , are not closed in , hence not compact.
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Ex. is a quotient map ( compact, Hausdorff); likewise .
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Thm. (Extreme value theorem.) continuous, compact there are with for all .
Proof. compact closed and bounded contains its inf and sup.
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Def. ; .
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Lem. is continuous; indeed .
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Lem. (Lebesgue number lemma.) an open cover of a compact metric space there is such that every with lies in a single element of .
Proof. Take a finite subcover , put and . Then ; let by the extreme value theorem.
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Def. is uniformly continuous if : — one for all points.
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Thm. continuous, compact metric is uniformly continuous.
Proof. Take a Lebesgue number for .
0.2 (§28) Limit point compactness
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Def. is limit point compact if every infinite subset has a limit point.
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Thm. Compact limit point compact.
Proof. If has no limit point, is closed and each has with . Cover by and the ; finiteness forces finite.
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Def. A subsequence with . is sequentially compact if every sequence has a convergent subsequence.
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Thm. For metrizable , TFAE: (1) compact; (2) limit point compact; (3) sequentially compact.
Proof. above. : if is finite use a constant subsequence; else take a limit point and pick inductively. needs two lemmas below.
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Lem. sequentially compact metric the Lebesgue number lemma holds for .
Proof. Else get of diameter in no element of ; a convergent subsequence traps inside a ball around — contradiction.
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Lem. sequentially compact metric is totally bounded (finitely many -balls cover , each ).
Proof. Else build with mutual distances ; no convergent subsequence.
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Rmk. Then : given with Lebesgue number , cover by -balls with ; each has diameter , so each sits in one element of .