1 Topological Spaces and Continuous Functions
1.1 (§12) Topological spaces
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Def. A topology on a set is a collection of subsets with
- (1)
and ;
- (2)
(arbitrary unions)
- (3)
(finite intersections)
is a topological space; the are the open sets.
Note. For (3) it is enough to check ; induct. The asymmetry between (2) and (3) is the whole subject — infinite intersections of open sets need not be open: .
- (1)
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Def. Discrete (every subset open). Trivial .
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Ex. : exactly four topologies — , , , . The middle two are the Sierpiński topologies.
Note. In : is separated from , but every open set containing contains . So is “arbitrarily close” to without being close to . No metric does this.
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Ex. : there are topologies. Nine of them, the rest obtained by permuting :
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, the discrete topology (8 elements)
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Ex. Not topologies on : (misses ); (no union); (no intersection).
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Def. is coarser than ( finer) if . Always .
Note. A partial order, not a total one: neither Sierpiński topology refines the other.
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Def. Cofinite topology: . It is a topology.
Proof. (2): if some then is finite. (3): De Morgan turns into a finite union of finite sets.
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Rmk. finite ; infinite (singletons are not cofinite). On : .
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Def. A metric on is with
- (1)
, with ;
- (2)
;
- (3)
.
-ball: .
- (1)
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Def. Metric topology : open for each there is with . This is a topology.
Proof. (3) is where finiteness enters: take . An infinite family would give .
1.2 (§13) Basis for a topology
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Def. , a collection of subsets of , is a basis if
- (1)
each lies in some ;
- (2)
there is with .
- (1)
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Def. Topology generated by : This is a topology.
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Ex. Open discs in ; open rectangles ; singletons (generating ).
Proof. For rectangles, is again a basis element or empty — condition (2) is free. For discs it needs the triangle inequality.
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Lem. Let be a basis for . Then (1) each is open; (2) every open is a union of basis elements: .
Note. The gluing trick — assemble local choices into one global object. It recurs throughout the course; name it now.
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Lem. (Recognition criterion.) Let be a collection of open sets in such that for every open and every there is with . Then is a basis for .
Note. The workhorse for identifying bases. Use it for products, subspaces, metric subspaces.
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Lem. (Comparison.) bases for . TFAE:
- (1)
;
- (2)
for each and there is with .
- (1)
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Caution. does not require — only that has smaller sets near each point.
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Cor. and generate the same topology both conditions hold: for each there is with , and for each there is with .
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Ex. Discs and rectangles generate the same topology on , namely the metric topology.
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Def. Standard topology on : basis ; equals for .
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Def. Lower limit topology on : basis ; write .
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Lem. .
Proof. : given take . Strict: no sits inside around , since escapes.
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Def. A subbasis is a collection of subsets with . Its associated basis is ; the topology generated by is the one generated by . Always .
Proof. satisfies the basis axioms: (2) holds because is again a finite intersection of subbasis elements. The bound avoids the empty intersection.