topological space

Definitions

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Several equivalent definitions for a topological structure exist and thus there are several equivalent ways to define a continuous function.

Open and closed set definition

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The most common notion of continuity in topology defines continuous functions as those functions for which the preimages of open sets are open. Similar to the open set formulation is the closed set formulation, which says that preimages of closed sets are closed.

Neighborhood definition

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Definitions based on preimages are often difficult to use directly. Instead, suppose we have a function f from X to Y, where X,Y are topological spaces. We say f is continuous at x for some   if for any neighborhood V of f(x), there is a neighborhood U of x such that  . Although this definition appears complex, the intuition is that no matter how "small" V becomes, we can always find a U containing x that will map inside it. If f is continuous at every  , then we simply say f is continuous.

 

Note that every function f from X to Y is continuous at an isolated point x of X. A function is continuous in a limit point p of X if and only if f(p) is a limit of f(x) as x tends to p.

In a metric space, it is equivalent to consider the neighbourhood system of open balls centered at x and f(x) instead of all neighborhoods. This leads to the standard ε-δ definition of a continuous function from real analysis, which says roughly that a function is continuous if all points close to x map to points close to f(x). This only really makes sense in a metric space, however, which has a notion of distance.

Sequences and nets

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In several contexts, the topology of a space is conveniently specified in terms of limit points. In many instances, this is accomplished by specifying when a point is the limit of a sequence, but for some spaces that are too large in some sense, one specifies also when a point is the limit of more general sets of points indexed by a directed set, known as nets. A function is continuous only if it takes limits of sequences to limits of sequences. In the former case, preservation of limits is also sufficient; in the latter, a function may preserve all limits of sequences yet still fail to be continuous, and preservation of nets is a necessary and sufficient condition.

In detail, a function f : XY is sequentially continuous if whenever a sequence (xn) in X converges to a limit x, the sequence (f(xn)) converges to f(x). Thus sequentially continuous functions "preserve sequential limits". Every continuous function is sequentially continuous. If X is a first-countable space, then the converse also holds: any function preserving sequential limits is continuous. In particular, if X is a metric space, sequential continuity and continuity are equivalent. For non first-countable spaces, sequential continuity might be strictly weaker than continuity. (The spaces for which the two properties are equivalent are called sequential spaces.) This motivates the consideration of nets instead of sequences in general topological spaces. Continuous functions preserve limits of nets, and in fact this property characterizes continuous functions.

Closure operator definition

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Given two topological spaces (X,cl) and (X ' ,cl ') where cl and cl ' are two closure operators then a function

 

is continuous if for all subsets A of X

 

One might therefore suspect that given two topological spaces (X,int) and (X ' ,int ') where int and int ' are two interior operators then a function

 

is continuous if for all subsets A of X

 

or perhaps if

 

however, neither of these conditions is either necessary or sufficient for continuity.

Instead, we must resort to inverse images: given two topological spaces (X,int) and (X ' ,int ') where int and int ' are two interior operators then a function

 

is continuous if for all subsets A of X

 

We can also write that given two topological spaces (X,cl) and (X ' ,cl ') where cl and cl ' are two closure operators then a function

 

is continuous if for all subsets A of X

 

Closeness relation definition

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Given two topological spaces (X,δ) and (X ' ,δ ') where δ and δ ' are two closeness relations then a function

 

is continuous if for all points x and y of X

 

Useful properties of continuous maps

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Some facts about continuous maps between topological spaces:

  • If f : XY and g : YZ are continuous, then so is the composition g o f : XZ.
  • If f : XY is continuous and

Other notes

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If a set is given the discrete topology, all functions with that space as a domain are continuous. If the domain set is given the indiscrete topology and the range set is at least T0, then the only continuous functions are the constant functions. Conversely, any function whose range is indiscrete is continuous.

Given a set X, a partial ordering can be defined on the possible topologies on X. A continuous function between two topological spaces stays continuous if we strengthen the topology of the domain space or weaken the topology of the codomain space. Thus we can consider the continuity of a given function a topological property, depending only on the topologies of its domain and codomain spaces.

For a function f from a topological space X to a set S, one defines the final topology on S by letting the open sets of S be those subsets A of S for which f-1(A) is open in X. If S has an existing topology, f is continuous with respect to this topology if and only if the existing topology is coarser than the final topology on S. Thus the final topology can be characterized as the finest topology on S which makes f continuous. If f is surjective, this topology is canonically identified with the quotient topology under the equivalence relation defined by f. This construction can be generalized to an arbitrary family of functions XS.

Dually, for a function f from a set S to a topological space, one defines the initial topology on S by letting the open sets of S be those subsets A of S for which f(A) is open in X. If S has an existing topology, f is continuous with respect to this topology if and only if the existing topology is finer than the initial topology on S. Thus the initial topology can be characterized as the coarsest topology on S which makes f continuous. If f is injective, this topology is canonically identified with the subspace topology of S, viewed as a subset of X. This construction can be generalized to an arbitrary family of functions SX.

Symmetric to the concept of a continuous map is an open map, for which images of open sets are open. In fact, if an open map f has an inverse, that inverse is continuous, and if a continuous map g has an inverse, that inverse is open.

If a function is a bijection, then it has an inverse function. The inverse of a continuous bijection is open, but need not be continuous. If it is, this special function is called a homeomorphism. If a continuous bijection has as its domain a compact space and its codomain is Hausdorff, then it is automatically a homeomorphism.

1 topology, there is one function, it is continuous.

1 topology, every function is constant and continuous.

4 topologies of 3 types:

Given the real numbers with the usual topology the subspace topology of any finite subset is the discrete topology.

Function f:V->W:

  • every constant function is continuous
  • every function is continuous in an isolated point
    • if V has the discrete topology, f is continuous
  • if V has the particular point topology p, a non-constant function is continuous iff every nbh of f(q) contains f(p), i.e. iff W has the particular point topology f(p) or the trivial topology
  • if V has the trivial topology, a non-constant function is continuous iff W has the trivial topology

The identity function idX : (X, τ2) → (X, τ1) is continuous if and only if τ1 ⊆ τ2 (see also comparison of topologies ).