Topological space (draft)
This is my note of the video https://youtu.be/1wyOoLUjUeI. It’s not a full guide of topology.
I wanted to know
- what is continuity
- the meaning of “topology”
Topological space
Let be a set. Then, a choice is called a topology on if
- and ,
- , and
- .
The pair is then called a topological space. An elements of a topology is called an open set.
Note that,
- The union could be countable infinite.
- For a set , there could be a lot of topologies.
The number of topology | |
---|---|
1 | 1 |
2 | 4 |
3 | 29 |
4 | 6942 |
5 | 209527 |
6 | 9535241 |
For any set , is called a chaotic topology. (“chaotic” as the antonym of “ordered”.)
For any set , is called a discrete topology.
In a simple English
When a set is given, you can group the elements. The way of grouping is defined by the subsets of . If you group the subsets in a special manner (to comply the three conditions above), the choice of subsets is called topology.
Standard topology
Note that, we can define the standard topology for real numbers , and after that we can extend it to .
Open ball
For a set , , define an open ball of radius around point as follows:
We chose 2-norm, but even you chose -norm, the structure of topology doesn’t matter(?)
Standard topology
For a set , we can define the standard topology (or simpler ) as follows:
The pair is a topological space.
Proof:
First, prove that empty set and the whole set are in .
For empty set, check the definition
Change the form of RHS as follows:
is always false, so by ex falso quodlibet, the proposition is true.
For the entire set :
This proposition is true by definition of subset. (<- need to be more presice?)
Second, check the intersection condition:
Let . Chose any point . By definition of open sets, there exist two real number and s.t.:
Then, and . Hence . This is true for any point , so .
Lastly, check the union condition:
Let and randomply pick a set . By definition, , so the following holds:
is chosed randomly, so this proposition holds for all . Hence,
From those three condition, is indeed a topology.
Induced topology
Let be a topological space and . Then,
is actually a topology on , and we call it as the induced topology (or subspace topology, relative topology, trace topology).
You an easily prove by checking the three condition of a topological space.
As an example, consider and check if is open set. is obviously not an open set in the standard topology, but we can make it as open set by inducing another topology with , because . Hence is an open set of the topology .
Quotient topology
Rough sketch
In the topology theory, you would meet some cut&glue operations. This is related to a quotient topology. A quotient topological space has two structure, topology and equivalence relation. In general, this two structure is an independent concept. An equivalence relation devides/groups a set into disjoint parts, where as toplology not only groups a set but also has a concept of “union of group”, which can’t be introduced by equivalence relations.
Suppose we cut a flexible paper, which can be regarded as a part of with the standard topology, and glue its edges so that we make some 3D structure. When you cut a paper, you define an equivalence relation (you can imagine translational symmetry). During glueing the paper, you implicitly defined which edge should be connected to which edge. Finally, the standard topology helps to glue the edges smoothly.
Definition
Let be a topological space. Define a quotient map associated with as follows:
With a quotient map, we can define a quotion topology as follows:
where is a preimage of under .
Closed set
Do you think the negation of “open” is “closed”? In terms topology, it isn’t.
Let be a topological space. A set called closed if is open.
In general, a subset of topological space can be:
- open
- closed
- open and closed
- open and not closed
- not open and closed
- not open and not closed
For example, the empty set is closed because , but the empty set is open set by definition. Hence the empty set is open and closed. As same as this logic, a whole set is also open and closed.
Product topology
Let and be topological spaces. We can equip the product topology on the cartesian product as follows:
In this way, we can extend the definition to any finite number of product, e.g.,
Convergence
Define a sequence as a map . A sequence on a topological space is said to converge against a limit point if,
Almost constant sequence
I couldn’t find the agreed terminology of this concept.
- almost constant
- eventually constant
- almost surely constant (probability theory terminology)
- defnitely constant
I’ll use “almost constant” as same as Frederic said by means of:
Example
isn
- not almost constant
- not convergent in (because, allows to group distant points)
- convergent in
Continuity
Let and be topological spaces. A map is called continuous if
Continuum: “continuity” of real numbers
Continuity above is defined for a map, not a topological space itself. But still, we have intuition about the “continuity” which the set of real numbers equips. The origin of continuity of real numbers is depend on how you construct the set of real numbers.
Here is my note about continuum.
One way to construct reals is by Cauchy sequences. (We are still able to define “distance/metric” upon .)
Homeomorphism
sepreation properties
(Fréchet), (Hausdorff)
Zariski topology
but not
Compact
Open cover
also subcover
Heine–Borel theorem
Paracompact space
Connectedness & path-connectedness
Homotopic curves
Fundamental group
References
Old note
A topological space is an ordered pair , where is a set and is a collection of subsets of satisfying the following axioms:
- The empty set and itself belong to .:
- Any arbitrary (finite or infinite) union of members of belongs to .
- The intersection of any finite number of members of belongs to .
The elements of are called open sets and the collection is called a topology on .
The element of is usually called a point.