Everything about Continuous Topology totally explained
In
topology and related areas of
mathematics a
continuous function is a
morphism between
topological spaces. Intuitively, this is a
function f where a set of points near
f(x) always contain the
image of a set of points near
x. For a general topological space, this means a
neighbourhood of
f(x) always contains the image of a neighbourhood of
x.
In a
metric space (for example, the
real numbers) this means that the points within a given distance of
f(x) always contain the images of all the points within some other distance of
x, giving the
ε-δ definition.
Definitions
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
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
Definitions based on preimages are often difficult to use directly. Instead, suppose we've 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's 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.
In a
metric space, it's 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.
Note, however, that if the target space is
Hausdorff, it's still true that
f is continuous at
a if and only if the limit of
f as
x approaches
a is
f(a). At an isolated point, every function is continuous.
Sequences and nets
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 :
X →
Y 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
Given two topological spaces (
X,cl) and (
X ',cl ') where cl and cl ' are two
closure operators then a function
»
Closeness relation definition
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
Some facts about continuous maps between topological spaces:
- If f : X → Y and g : Y → Z are continuous, then so is the composition g o f : X → Z.
- If f : X → Y is continuous and
- The identity map idX : (X, τ2) → (X, τ1) is continuous if and only if τ1 ⊆ τ2 (see also comparison of topologies ).
Other notes
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
X →
S.
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
S →
X.
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's automatically a homeomorphism.
Further Information
Get more info on 'Continuous Topology'.
|
External Link Exchanges
Do you know how hard it is to get a link from a large encyclopaedia? Well we're different and will prove it. To get a link from us just add the following HTML to your site on a relevant page:
<a href="http://continuous_function__topology.totallyexplained.com">Continuous function (topology) Totally Explained</a>
Then simply click through this link from your web page. Our crawlers will verify your link, extract the title of your web page and instantly add a link back to it. If you like you can remove the words Totally Explained and embed the link in article text.
As long as your link remains in place, we'll keep our link to you right here. Please play fair - our crawlers are watching. Your site must be closely related to this one's topic. Any kind of spamming, dubious practises or removing the link will result in your link from us being dropped and, potentially, your whole site being banned. |