Note: The following notes have been taken during various lectures I attended.
Since we are mostly interested in understanding topology to understand
general relativity and gravitation one can thing about a motivation for
studying topology. Basically the aim is to find the most simple and least
restrictive set of rules to describe the concepts without any unnecessary
assumptions.
Most basically spacetime is a set. In classical physics we require
continuity of functions but setβs dont provide that feature - the
weakest method to impose on sets is to introduce a topology.
Topology
If $M$ is a set a topology $O$ is a subset $O \subset P(M)$ where $P(M)$
is the power-set of $M$ (i.e. the set containing all subsets of $M$, i.e.
the topology is a certain choice of subsets of $M$).
A topology satisfies three axioms:
- $0 \in O$, the empty set has to be contained in the topology and
$M \in O$, the set $M$ has to be contained in the topology
- $U, V \in O \implies U \cap V \in O$, the intersection of two sets from the
topology has to be a member of the topology too
- $U_\alpha \in \implies \Cup_{\alpha \in A} U_\alpha \in O$ (with $U_\alpha$
being an index set)
Example: Let $M = \{ 1, 2, 3 \}$.
Choose subsets as topology: $O_1 = \{ 0, \{ 1, 2, 3 \} \}$. This is a topology because
it satisfies all constraints:
- $0 \in O$ $\to$ ok
- $\{1,2,3\} \in O$ $\to$ ok
- $0 \cup 0 \in O$, $0 \cup \{1,2,3\} \in O$, $\{1,2,3\} \cup 0 \in O$, $\{1,2,3\} \cup \{1,2,3\} \in O$ $\to$ ok
Example: Let $M = \{ 1, 2, 3 \}$, $O_2 = \{0, \{1\}, \{2\}, \{1,2,3\}\}$ is not a topology because
$\{1\} \cap \{2\} = \{1,2\} \not\in O$
Example: $M$ is any set. The topology $O$ can always be choosen as $O := \{ 0, M \}$ which
is called the chaotic topology which is always a topology.
Example: $M$ is any set. $O := P(M)$ is always a topology which is called the discrete topology.
Note that the power set consists of all possible subsets of $M$.
Note that the chaotic topology and discrete topology represent the most extreme corner
cases (with least and most members). They are not really useful but allow checking corner
cases.
Example: The standard topology can be defined on $\mathfrak{R}^d$ (i.e. the sets of d-tuples of
real numbers). One can (arbitrarily) define $O_{standard} \subset P(\mathfrak{R}^d)$. Note that
$O_{standard}$ contains noncountable many elements (so there is no explicit way to write down all
elements, one has to use an implicit definition).
- Define soft ball: $B_{r \in \mathfrak{R^{+}}}(p \in \mathfrak{R}^d) := \{ (q_1, β¦, q_d) \mid \sum_{i=1}^{d} (q_i - p_i)^2 < r^2 \}$. This
might remind someone of the euclidian norm but since there is no vector space structure itβs not a norm. $r$ might be
seen like the radius of the soft ball, $p$ like the center - but since there is no vector space itβs not really a sphere.
- $U \in O_{standard} \iff \forall p \in U : \exists r \in \mathfrak{R}^{+} : B_r(p) \subset U$. One can imagine
that whatever point $U$ one can pick inside a given are without itβs boundary there is a point and a radius that
lies around the choosen point. This is not possible on the boundary since the ball would not always be contained
inside the set.
Terminology
We assume $M$ is a set, $O$ is a topology (a set of subsets of open sets of $M$ with certain properties).
A topology with itβs set $(M, O)$ is a topological space.
$U \in O \iff U \subset M$ is called an open set, $M \backslash O \iff A \subset M$ is called an closed set. Note
that sets can be opened and closed at the same time - these are not contradictions. Sets may also be neither
open not closed.
Continuous maps
A map $f : M \to N$ takes every point from the domain $M$ to any point in the set $N$. There may be points
in $N$ that may not be hit by the map, points from $M$ may map to the same point in $N$
- If a map $f$ maps different points from $M$ onto the same point in $N$ the map $f$ is not injective.
- If points in $N$ are not hit by the map the map $f$ is not surjective.
- If a map is surjective and injective itβs bijective
Note that a map is only defined on two sets - there is no further structure implied.
It cannot be determined from the map $f : M \to N$ alone if a map is continuous. This
depends on the choosen topologies on $M$ and $N$ (by definition of continuity).
Let $(M, O_M)$ and $(N, O_N)$ be topological spaces (i.e. sets with the additional
structure of choosen topologies). Then a map $f : M \to N$ (i.e. $m \to f(m)$ with
$f(m)$ being the image of $m$ in the target space $N$) is continuous with respect
to the topologies $O_M$ and $O_N$ if $\forall V \in O_N : \text{preim}_f(V) \in O_M$
i.e. the preimage of $V$, which is an open set in $N$, is an open set in $M$.
The preimage is defined as being $f : M \to V$ with $\text{preim}_f(V) := \{ m \in M \mid f(m) \in V \}$
Note that the preimage is a weaker description than an inverse map or an inverse
function because the preimage is also defined for elements that have multiple
sets in $M$ that are mapped to the same set in $N$. Then the preimage is the union
of all the sets from $M$ that map onto the same set in $N$.
A map is continuous if and only if the preimages of all open sets in the
target space are open sets in the domain
Example: $M = \{1,2\}$, $N = \{1,2\}$ (i.e. domain and target are the same sets)
Define an arbitrary map. For example $f : M \to N$ with $f(1) = 2$ and $f(2) = 1$
Choose $O_M := \{ 0, \{1\}, \{2\}, \{1, 2\} \}$ as topology on $M$ and $O_N := \{ 0, \{1,2\} \}$ as
arbitrary topologies.
Checking if $f$ is continuous with respect to the choosen topologies:
- Check if $\text{preim}_f(0) = 0 \in O_M$
- Check if $\text{preim}_f(\{1,2\}) = M \in O_M$
Thus $f$ is continuous.
Example: $g : N \to M$ uses the same maps and same topology definitions.
- Check if $\text{preim}_g(0) = 0 \in O_N$
- Check if $\text{preim}_g(\{1,2\}) = M \in O_N$
- Check if $\text{preim}_g(\{1\}) = \{2\} \not\in O_N$ which violates the axioms
- Check if $\text{preim}_g(\{2\}) = \{1\} \not\in O_N$ which (too) violates the axioms
So $g$ is not continuous
Composition of maps
If $f : M \to N$ and $g : N \to P$ one can define $g \circ f : M \to P$.
The composition is defined as $m \to (g \circ f)(m) := g(f(m))$.
Theorem: If $f$ and $g$ are continuous, then $g \circ f$ is also continuous.
Proof: Let $V \in O_p$ then
$
\begin{align}
\text{preim}_{g \circ f}(V) := \{ m \in M \mid (g \circ f)(m) \in V \} \\
:= \{ m \in M \mid f(m) \in \text{preim}_g(V) \} \\
:= \underbrace{\text{preim}_f(\underbrace{\text{preim}_g(V)}_{\in O_N})}_{\in O_M}
\end{align}
$
q.e.d.
Inheriting topologies
Note that there is an arbitrary number of ways to inherit a topology
from some given topological space(s).
Assume $(M, O_M)$ where one wants to consider $S \subset M$. A topology may
always be invented on $S$ but it may be desireable to inherit one from
$O_M$ via using the subset topology.
$
\begin{align}
O\mid_S \subset P(S) \\
O\mid_S := { U \cap S \mid U \in O_M }
\end{align}
$
- $0 = 0 \in O_M \cap S \to 0 \in O\mid_S$
- $S = M \in O_M \cap S \to S \in O\mid_S$
$
\begin{align}
A \in S, B \in S \to \exists \hat{A} \in O_M, \hat{B} \in O_M \\
A = \hat{A} \cap S, B = \hat{B} \cap S \\
A \cap B = (\hat{A} \cap S) \cap (\hat{B} \cap S) \\
= (\hat{A} \cap \hat{B}) \cap S \in O\mid_S
\end{align}
$
$f : (M,O_M) \to (N,O_N)$ is continuous (easy to check). Now one
can easily determine if $f\mid_S : (S \subset M) \to N$ is continuous.
Even if $f\mid_S$ is complex to check whenever one inherits a topology
$(S, O\mid_S)$ via the inheritance then itβs guaranteed that the restriction
of the map $f\mid_S : S \to N$ is continuous. In case one had choosen the
topology arbitrarily this would not be the case.
This article is tagged: Physics, Topology, Basics