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# Math 4201 Exam 1 review
# Math 4201 Exam 1 Review
> [!NOTE]
>
@@ -343,5 +343,3 @@ $\sim$ is a subset of $X\times X$ with the following properties:
3. If $(x,y)\in \sim$ and $(y,z)\in \sim$, then $(x,z)\in \sim$.
The equivalence classes of $x\in X$ is denoted by $[x]=\{y\in X|y\sim x\}$.

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# Math 4201 Exam 2 Review
> [!NOTE]
>
> This is a review for definitions we covered in the classes. It may serve as a cheat sheet for the exam if you are allowed to use it.
## Connectedness and compactness of metric spaces
### Connectedness and separation
#### Definition of separation
Let $X=(X,\mathcal{T})$ be a topological space. A separation of $X$ is a pair of open sets $U,V\in \mathcal{T}$ that:
1. $U\neq \emptyset$ and $V\neq \emptyset$ (that also equivalent to $U\neq X$ and $V\neq X$)
2. $U\cap V=\emptyset$
3. $X=U\cup V$ ($\forall x\in X$, $x\in U$ or $x\in V$)
Some interesting corollary:
- Any non-trivial (not $\emptyset$ or $X$) clopen set can create a separation.
- Proof: Let $U$ be a non-trivial clopen set. Then $U$ and $U^c$ are disjoint open sets whose union is $X$.
- For subspace $Y\subset X$, a separation of $Y$ is a pair of open sets $U,V\in \mathcal{T}_Y$ such that:
1. $U\neq \emptyset$ and $V\neq \emptyset$ (that also equivalent to $U\neq Y$ and $V\neq Y$)
2. $U\cap V=\emptyset$
3. $Y=U\cup V$ ($\forall y\in Y$, $y\in U$ or $y\in V$)
- If $\overline{A}$ is closure of $A$ in $X$, same for $\overline{B}$, then the closure of $A$ in $Y$ is $\overline{A}\cap Y$ and the closure of $B$ in $Y$ is $\overline{B}\cap Y$. Then for separation $U,V$ of $Y$, $\overline{A}\cap B=A\cap \overline{B}=\emptyset$.
#### Definition of connectedness
A topological space $X$ is connected if there is no separation of $X$.
> [!TIP]
>
> Connectedness is a local property. (That is, even the big space is connected, the subspace may not be connected. Consider $\mathbb{R}$ with the usual metric. $\mathbb{R}$ is connected, but $\mathbb{R}\setminus\{0\}$ is not connected.)
>
> Connectedness is a topological property. (That is, if $X$ and $Y$ are homeomorphic, then $X$ is connected if and only if $Y$ is connected. Consider if not, then separation of $X$ gives a separation of $Y$.)
#### Lemma of connected subspace
If $A,B$ is a separation of a topological space $X$, and $Y\subseteq X$ is a **connected** subspace with subspace topology, then $Y$ is either contained in $A$ or $B$.
_Easy to prove by contradiction. Try to construct a separation of $Y$._
#### Theorem of connectedness of union of connected subsets
Let $\{A_\alpha\}_{\alpha\in I}$ be a collection of connected subsets of a topological space $X$ such that $\bigcap_{\alpha\in I} A_\alpha$ is non-empty. Then $\bigcup_{\alpha\in I} A_\alpha$ is connected.
_Easy to prove by lemma of connected subspace._
#### Lemma of compressing connectedness
Let $A\subseteq X$ be a connected subspace of a topological space $X$ and $A\subseteq B\subseteq \overline{A}$. Then $B$ is connected.
_Easy to prove by lemma of connected subspace. Suppose $C,D$ is a separation of $B$, then $A$ lies completely in either $C$ or $D$. Without loss of generality, assume $A\subseteq C$. Then $\overline{A}\subseteq\overline{C}$ and $\overline{A}\cap D=\emptyset$ (from $\overline{C}\cap D=\emptyset$ by closure of $A$). (contradiction that $D$ is nonempty) So $D$ is disjoint from $\overline{A}$, and hence from $B$. Therefore, $B$ is connected._
#### Theorem of connected product space
Any finite cartesian product of connected spaces is connected.
_Prove using the union of connected subsets theorem. Using fiber bundle like structure union with non-empty intersection._
### Application of connectedness in real numbers
Real numbers are connected.
Using the least upper bound and greatest lower bound property, we can prove that any interval in real numbers is connected.
#### Intermediate Value Theorem
Let $f:[a,b]\to \mathbb{R}$ be continuous. If $c\in\mathbb{R}$ is such that $f(a)<c<f(b)$, then there exists $x\in [a,b]$ such that $f(x)=c$.
_If false, then we can use the disjoint interval with projective map to create a separation of $[a,b]$._
#### Definition of path-connected space
A topological space $X$ is path-connected if for any two points $x,x'\in X$, there is a continuous map $\gamma:[0,1]\to X$ such that $\gamma(0)=x$ and $\gamma(1)=x'$. Any such continuous map is called a path from $x$ to $x'$.
- Every connected space is path-connected.
- The converse may not be true, consider the topologists' sine curve.
### Compactness
#### Definition of compactness via open cover and finite subcover
Let $X=(X,\mathcal{T})$ be a topological space. An open cover of $X$ is $\mathcal{A}\subset \mathcal{T}$ such that $X=\bigcup_{A\in \mathcal{A}} A$. A finite subcover of $\mathcal{A}$ is a finite subset of $\mathcal{A}$ that covers $X$.
$X$ is compact if every open cover of $X$ has a finite subcover (i.e. $X=\bigcup_{A\in \mathcal{A}} A\implies \exists \mathcal{A}'\subset \mathcal{A}$ finite such that $X=\bigcup_{A\in \mathcal{A}'} A$).
#### Definition of compactness via finite intersection property
A collection $\{C_\alpha\}_{\alpha\in I}$ of subsets of a set $X$ has finite intersection property if for every finite subcollection $\{C_{\alpha_1}, ..., C_{\alpha_n}\}$ of $\{C_\alpha\}_{\alpha\in I}$, we have $\bigcap_{i=1}^n C_{\alpha_i}\neq \emptyset$.
Let $X=(X,\mathcal{T})$ be a topological space. $X$ is compact if every collection $\{Z_\alpha\}_{\alpha\in I}$ of closed subsets of $X$ satisfies the finite intersection property has a non-empty intersection (i.e. $\forall \{Z_{\alpha_1}, ..., Z_{\alpha_n}\}\subset \{Z_\alpha\}_{\alpha\in I}, \bigcap_{i=1}^n Z_{\alpha_i} \neq \emptyset\implies \bigcap_{\alpha\in I} Z_\alpha \neq \emptyset$).
#### Compactness is a local property
Let $X$ be a topological space. A subset $Y\subseteq X$ is compact if and only if every open covering of $Y$ (set open in $X$) has a finite subcovering of $Y$.
- A space $X$ is compact but the subspace may not be compact.
- Consider $X=[0,1]$ and $Y=[0,1/2)$. $Y$ is not compact because the open cover $\{(0,1/n):n\in \mathbb{N}\}$ does not have a finite subcover.
- A compact subspace may live in a space that is not compact.
- Consider $X=\mathbb{R}$ and $Y=[0,1]$. $Y$ is compact but $X$ is not compact.
#### Closed subspaces of compact spaces
A closed subspace of a compact space is compact.
A compact subspace of Hausdorff space is closed.
_Each point not in the closed set have disjoint open neighborhoods with the closed set in Hausdorff space._
#### Theorem of compact subspaces with Hausdorff property
If $Y$ is compact subspace of a **Hausdorff space** $X$, $x_0\in X-Y$, then there are disjoint open neighborhoods $U,V\subseteq X$ such that $x_0\in U$ and $Y\subseteq V$.
#### Image of compact space under continuous map is compact
Let $f:X\to Y$ be a continuous map and $X$ is compact. Then $f(X)$ is compact.
#### Tube lemma
Let $X,Y$ be topological spaces and $Y$ is compact. Let $N\subseteq X\times Y$ be an open set contains $X\times \{y_0\}$ for $y_0\in Y$. Then there exists an open set $W\subseteq Y$ is open containing $y_0$ such that $N$ contains $X\times W$.
_Apply the finite intersection property of open sets in $X\times Y$. Projection map is continuous._
#### Product of compact spaces is compact
Let $X,Y$ be compact spaces, then $X\times Y$ is compact.
Any finite product of compact spaces is compact.
### Compact subspaces of real numbers
#### Every closed and bounded subset of real numbers is compact
$[a,b]$ is compact in $\mathbb{R}$ with standard topology.
#### Good news for real numbers
Any of the three properties is equivalent for subsets of real numbers (product of real numbers):
1. $A\subseteq \mathbb{R}^n$ is closed and bounded (with respect to the standard metric or spherical metric on $\mathbb{R}^n$).
2. $A\subseteq \mathbb{R}^n$ is compact.
#### Extreme value theorem
If $f:X\to \mathbb{R}$ is continuous map with $X$ being compact. Then $f$ attains its minimum and maximum. (there exists $x_m,x_M\in X$ such that $f(x_m)\leq f(x)\leq f(x_M)$ for all $x\in X$)
#### Lebesgue number lemma
For a compact metric space $(X,d)$ and an open covering $\{U_\alpha\}_{\alpha\in I}$ of $X$. Then there is $\delta>0$ such that for every subset $A\subseteq X$ with diameter less than $\delta$, there is $\alpha\in I$ such that $A\subseteq U_\alpha$.
_Apply the extreme value theorem over the mapping of the averaging function for distance of points to the $X-U_\alpha$. Find minimum radius of balls that have some $U_\alpha$ containing the ball._
#### Definition for uniform continuous function
$f$ is uniformly continuous if for any $\epsilon > 0$, there exists $\delta > 0$ such that for any $x_1,x_2\in X$, if $d(x_1,x_2)<\delta$, then $d(f(x_1),f(x_2))<\epsilon$.
#### Theorem of uniform continuous function
Let $f:X\to Y$ be a continuous map between two metric spaces. If $X$ is compact, then $f$ is uniformly continuous.
#### Definition of isolated point
A point $x\in X$ is an isolated point if $\{x\}$ is an open subset of $X$.
#### Theorem of isolated point in compact spaces
Let $X$ be a nonempty compact Hausdorff space. If $X$ has no isolated points, then $X$ is uncountable.
_Proof using infinite nested closed intervals should be nonempty._
### Variation of compactness
#### Limit point compactness
A topological space $X$ is limit point compact if every infinite subset of $X$ has a limit point in $X$.
- Every compact space is limit point compact.
#### Sequentially compact
A topological space $X$ is sequentially compact if every sequence in $X$ has a convergent subsequence.
- Every compact space is sequentially compact.
#### Equivalence of three in metrizable spaces
If $X$ is a metrizable space, then the following are equivalent:
1. $X$ is compact.
2. $X$ is limit point compact.
3. $X$ is sequentially compact.

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#### Definition of limit point compact
A space $X$ is limit point compact if any infinite subset of $X$ has a limit point.
A space $X$ is limit point compact if any infinite subset of $X$ has a [limit point](./Math4201_L8#limit-points) in $X$.
_That is, $\forall A\subseteq X$ and $A$ is infinite, there exists a point $x\in X$ such that $x\in U$, $\forall U\in \mathcal{T}$ containing $x$, $(U-\{x\})\cap A\neq \emptyset$._
#### Definition of sequentially compact
@@ -59,7 +61,7 @@ A space $X$ is sequentially compact if any sequence has a convergent subsequence
#### Theorem of limit point compact spaces
If $(X,d)$ is a metric space, then the following are equivalent:
If $(X,d)$ is a **metric space**, then the following are equivalent:
1. $X$ is compact.
2. $X$ is limit point compact.
@@ -85,6 +87,8 @@ $X$ is not sequentially compact because the sequence $\{(n,a)\}_{n\in\mathbb{N}}
First, we show that 1. implies 2.
We proceed by contradiction.
Let $X$ be compact and $A\subseteq X$ be an infinite subset of $X$ that doesn't have any limit points.
Then $X-A$ is open because any $x\in X-A$ isn't in the closure of $A$ otherwise it would be a limit point for $A$, and hence $x$ has an open neighborhood contained in the complement of $A$.
@@ -114,5 +118,22 @@ Continue with the proof that 2. implies 3. next time.
Proof of 1. follows from the theorem of limit point compact spaces.
</details>
That means, sequentially compact is a stronger property than limit point compact, and compact is the stronger property than limit point compact.
> [!WARNING]
>
> Hope you will not use it soon for your exams but here are some interesting examples.
>
> **There exists spaces that are sequentially compact but not compact.**
>
> Consider the interval $[0,1)$ with the standard topology over $\mathbb{R}$. This space is sequentially compact but not compact.
>
> [S000035](https://topology.pi-base.org/spaces/S000035)
>
> **There exists spaces that are compact but not sequentially compact.**
>
> Consider the space of functions $f:[0,1]\to [0,1]$ with the topology of pointwise convergence. This space is compact $I^I$ but not sequentially compact (You can always find a sequence of functions that does not converge to any function in the space, when there is uncountable many functions in the space).
>
> [S000103](https://topology.pi-base.org/spaces/S000103)

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# Math4201 Topology I (Lecture 30)
## Compactness
### Compactness in Metric Spaces
#### Limit point compactness
A topological space $X$ is limit point compact if every infinite subset of $X$ has a limit point in $X$.
- Every compact space is limit point compact.
#### Sequentially compact
A topological space $X$ is sequentially compact if every sequence in $X$ has a convergent subsequence.
#### Theorem of equivalence of compactness in metrizable spaces
If $(X,d)$ is a metric space then the following are equivalent:
1. $X$ is compact.
2. $X$ is limit point compact.
3. $X$ is sequentially compact.
<details>
<summary>Proof</summary>
(1) $\implies$ (2):
We proceed by contradiction,
Let $X$ be compact and $A\subseteq X$ be an infinite subset of $X$ that doesn't have any limit points.
Then $X-A$ is open because any $x\in X-A$ isn't in the closure of $A$ otherwise it would be a limit point for $A$, and hence $x$ has an open neighborhood contained in the complement of $A$.
Next, let $x\in A$. Since $x$ isn't a limit point of $A$, there is an open neighborhood $U_x$ of $x$ in $X$ that $U_x\cap A=\{x\}$. Now consider the open covering of $X$ given as
$$
\{X-A\}\cup \{U_x:x\in A\}
$$
This is an open cover because either $x\in X-A$ or $x\in A$ and in the latter case, $x\in U_x$ since $X$ is compact, this should have a finite subcover. Any such subcover should contain $U_x$ for any $x$ because $U_x$ is the element in the subcover for $x$.
This implies that our finite cover contains infinite open sets, which is a contradiction.
---
(2) $\implies$ (3):
Let $\{x_n\}_{n\in\mathbb{N}}$ be an arbitrary sequence in $X$.
Since $d(z,x_{n_k})\leq \frac{1}{k}$ the subsequence $(x_{n_k})$ converges to $z$.
This completes the proof.
except possibly $z$.
Now we consider
$$
B_{r_k}(z)\text { with } r_k=\min \left(\frac{1}{k}, d_k\right)
$$
This ball has a point $x_{n_k}$ from $\{x_n\}$ which isn't equal to $z$.
$r_k\leq d_k\implies n_k\geq n_{k-1}$.
Since $z$ is a limit point of $\{x_n\}$, there exists $x_{n_k}$ such that $d(z,x_{n_k})<\frac{1}{k}$. So $x_{n_k}\in B_{r_k}(z)$.
So, we have a convergent subsequence $(x_{n_k})$.
---
(3) $\implies$ (1):
First wee prove the analogue of Lebesgue number lemma for a sequentially compact space $(X,d)$.
Let $\{U_\alpha\}_{\alpha\in I}$ be an open covering of $X$. **By contradiction**, assume that for any $\delta>0$, there are two points $x,x'$ with $d(x,x')<\delta$ don't belong to the same open set in the covering.
Take $\delta=\frac{1}{n}$, and let $x_n,x_n'$ be the points as above, then $d(x_n,x_n')<\frac{1}{n}$.
$x_n,x_n'$ don't belong to the same open set in $\{U_\alpha\}_{\alpha\in I}$.
By assumption $\{x_n\}$ is convergent after passing to a subsequence
$$
\{x_{n_k}\}_i
$$
Let $y$ be the limit of this subsequence and $U_\alpha$ be an element of the open covering containing $y$. There is $\epsilon>0$ such that $B_\epsilon(y)\subseteq U_\alpha$.
If $k$ is large enough, then $x_{n_k}\in B_{\epsilon/2}(y)$ and $d(x_{n_k},x_{n_k}')<\epsilon/2$. (take $k$ such that $\frac{1}{n_k}<\epsilon/2$)
Then $d(x_{n_k}',y)<\epsilon/2$ this implies that $x_{n_k}'\in U_\alpha$.
Thus, $d(x_{n_k}',y)\leq d(x_{n_k}',x_{n_k})+d(x_{n_k},y)<\epsilon/2+\epsilon/2=\epsilon$.
So, $x_{n_k}'\in B_\epsilon(y)\subseteq U_\alpha$.
This is a contradiction.
Next we show that for any $\epsilon$, there are
$$
y_1,y_2,\cdots,y_k
$$
such that $X=\bigcup_{i=1}^k B_{\epsilon}(y_i)$.
Let's assume that it's not true and construct a sequence of points inductively in the following way:
- Pick $y_1$ be arbitrary point in $X$.
- In the $k$-th step, if $X\neq B_{\epsilon}(y_1)\cup \cdots \cup B_{\epsilon}(y_k)$, then pick $y_{k+1}\notin B_{\epsilon}(y_1)\cup \cdots \cup B_{\epsilon}(y_k)$.
- In particular, $d(y_{k+1},y_j)\geq \epsilon$ for all $j<k$.
By iteration, this process we obtain a sequence such such that the distance between any two elements is at most $\epsilon$.
This sequence cannot have a converging subsequence which is a contradiction.
To prove the compactness of $X$, take an open covering $\{U_\alpha\}_{\alpha\in I}$ of $X$ and let be $\delta>0$ such that any set with diameter at least $\delta$ is one of the $U_\alpha$'s. Let also $y_1,y_2,\cdots,y_k\in X$ be chosen such that $B_{\frac{\delta}{2}}(y_1)\cup \cdots \cup B_{\frac{\delta}{2}}(y_k)=X$.
Since diameter of $B_{\frac{\delta}{2}}(y_i)$ is less than $\delta$, it belongs to $U_\alpha$ for some $\alpha\in I$.
Then $\{U_{\alpha_i}\}_{i=1}^k$ is a finite subcover of $X$.
This completes the proof.
</details>

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@@ -33,4 +33,5 @@ export default {
Math4201_L27: "Topology I (Lecture 27)",
Math4201_L28: "Topology I (Lecture 28)",
Math4201_L29: "Topology I (Lecture 29)",
Math4201_L30: "Topology I (Lecture 30)",
}