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Math4201Exam reviewsMath 4201 Exam 2 Review

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,T)X=(X,\mathcal{T}) be a topological space. A separation of XX is a pair of open sets U,VTU,V\in \mathcal{T} that:

  1. UU\neq \emptyset and VV\neq \emptyset (that also equivalent to UXU\neq X and VXV\neq X)
  2. UV=U\cap V=\emptyset
  3. X=UVX=U\cup V (xX\forall x\in X, xUx\in U or xVx\in V)

Some interesting corollary:

  • Any non-trivial (not \emptyset or XX) clopen set can create a separation.
    • Proof: Let UU be a non-trivial clopen set. Then UU and UcU^c are disjoint open sets whose union is XX.
  • For subspace YXY\subset X, a separation of YY is a pair of open sets U,VTYU,V\in \mathcal{T}_Y such that:
    1. UU\neq \emptyset and VV\neq \emptyset (that also equivalent to UYU\neq Y and VYV\neq Y)
    2. UV=U\cap V=\emptyset
    3. Y=UVY=U\cup V (yY\forall y\in Y, yUy\in U or yVy\in V)
    • If A\overline{A} is closure of AA in XX, same for B\overline{B}, then the closure of AA in YY is AY\overline{A}\cap Y and the closure of BB in YY is BY\overline{B}\cap Y. Then for separation U,VU,V of YY, AB=AB=\overline{A}\cap B=A\cap \overline{B}=\emptyset.

Definition of connectedness

A topological space XX is connected if there is no separation of XX.

Tip

Connectedness is a local property. (That is, even the big space is connected, the subspace may not be connected. Consider R\mathbb{R} with the usual metric. R\mathbb{R} is connected, but R{0}\mathbb{R}\setminus\{0\} is not connected.)

Connectedness is a topological property. (That is, if XX and YY are homeomorphic, then XX is connected if and only if YY is connected. Consider if not, then separation of XX gives a separation of YY.)

Lemma of connected subspace

If A,BA,B is a separation of a topological space XX, and YXY\subseteq X is a connected subspace with subspace topology, then YY is either contained in AA or BB.

Easy to prove by contradiction. Try to construct a separation of YY.

Theorem of connectedness of union of connected subsets

Let {Aα}αI\{A_\alpha\}_{\alpha\in I} be a collection of connected subsets of a topological space XX such that αIAα\bigcap_{\alpha\in I} A_\alpha is non-empty. Then αIAα\bigcup_{\alpha\in I} A_\alpha is connected.

Easy to prove by lemma of connected subspace.

Lemma of compressing connectedness

Let AXA\subseteq X be a connected subspace of a topological space XX and ABAA\subseteq B\subseteq \overline{A}. Then BB is connected.

Easy to prove by lemma of connected subspace. Suppose C,DC,D is a separation of BB, then AA lies completely in either CC or DD. Without loss of generality, assume ACA\subseteq C. Then AC\overline{A}\subseteq\overline{C} and AD=\overline{A}\cap D=\emptyset (from CD=\overline{C}\cap D=\emptyset by closure of AA). (contradiction that DD is nonempty) So DD is disjoint from A\overline{A}, and hence from BB. Therefore, BB 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]Rf:[a,b]\to \mathbb{R} be continuous. If cRc\in\mathbb{R} is such that f(a)<c<f(b)f(a)<c<f(b), then there exists x[a,b]x\in [a,b] such that f(x)=cf(x)=c.

If false, then we can use the disjoint interval with projective map to create a separation of [a,b][a,b].

Definition of path-connected space

A topological space XX is path-connected if for any two points x,xXx,x'\in X, there is a continuous map γ:[0,1]X\gamma:[0,1]\to X such that γ(0)=x\gamma(0)=x and γ(1)=x\gamma(1)=x'. Any such continuous map is called a path from xx to xx'.

  • 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,T)X=(X,\mathcal{T}) be a topological space. An open cover of XX is AT\mathcal{A}\subset \mathcal{T} such that X=AAAX=\bigcup_{A\in \mathcal{A}} A. A finite subcover of A\mathcal{A} is a finite subset of A\mathcal{A} that covers XX.

XX is compact if every open cover of XX has a finite subcover (i.e. X=AAA    AAX=\bigcup_{A\in \mathcal{A}} A\implies \exists \mathcal{A}'\subset \mathcal{A} finite such that X=AAAX=\bigcup_{A\in \mathcal{A}'} A).

Definition of compactness via finite intersection property

A collection {Cα}αI\{C_\alpha\}_{\alpha\in I} of subsets of a set XX has finite intersection property if for every finite subcollection {Cα1,...,Cαn}\{C_{\alpha_1}, ..., C_{\alpha_n}\} of {Cα}αI\{C_\alpha\}_{\alpha\in I}, we have i=1nCαi\bigcap_{i=1}^n C_{\alpha_i}\neq \emptyset.

Let X=(X,T)X=(X,\mathcal{T}) be a topological space. XX is compact if every collection {Zα}αI\{Z_\alpha\}_{\alpha\in I} of closed subsets of XX satisfies the finite intersection property has a non-empty intersection (i.e. {Zα1,...,Zαn}{Zα}αI,i=1nZαi    αIZα\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 XX be a topological space. A subset YXY\subseteq X is compact if and only if every open covering of YY (set open in XX) has a finite subcovering of YY.

  • A space XX is compact but the subspace may not be compact.
    • Consider X=[0,1]X=[0,1] and Y=[0,1/2)Y=[0,1/2). YY is not compact because the open cover {(0,1/n):nN}\{(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=RX=\mathbb{R} and Y=[0,1]Y=[0,1]. YY is compact but XX 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 YY is compact subspace of a Hausdorff space XX, x0XYx_0\in X-Y, then there are disjoint open neighborhoods U,VXU,V\subseteq X such that x0Ux_0\in U and YVY\subseteq V.

Image of compact space under continuous map is compact

Let f:XYf:X\to Y be a continuous map and XX is compact. Then f(X)f(X) is compact.

Tube lemma

Let X,YX,Y be topological spaces and YY is compact. Let NX×YN\subseteq X\times Y be an open set contains X×{y0}X\times \{y_0\} for y0Yy_0\in Y. Then there exists an open set WYW\subseteq Y is open containing y0y_0 such that NN contains X×WX\times W.

Apply the finite intersection property of open sets in X×YX\times Y. Projection map is continuous.

Product of compact spaces is compact

Let X,YX,Y be compact spaces, then X×YX\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][a,b] is compact in R\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. ARnA\subseteq \mathbb{R}^n is closed and bounded (with respect to the standard metric or spherical metric on Rn\mathbb{R}^n).
  2. ARnA\subseteq \mathbb{R}^n is compact.

Extreme value theorem

If f:XRf:X\to \mathbb{R} is continuous map with XX being compact. Then ff attains its minimum and maximum. (there exists xm,xMXx_m,x_M\in X such that f(xm)f(x)f(xM)f(x_m)\leq f(x)\leq f(x_M) for all xXx\in X)

Lebesgue number lemma

For a compact metric space (X,d)(X,d) and an open covering {Uα}αI\{U_\alpha\}_{\alpha\in I} of XX. Then there is δ>0\delta>0 such that for every subset AXA\subseteq X with diameter less than δ\delta, there is αI\alpha\in I such that AUαA\subseteq U_\alpha.

Apply the extreme value theorem over the mapping of the averaging function for distance of points to the XUαX-U_\alpha. Find minimum radius of balls that have some UαU_\alpha containing the ball.

Definition for uniform continuous function

ff is uniformly continuous if for any ϵ>0\epsilon > 0, there exists δ>0\delta > 0 such that for any x1,x2Xx_1,x_2\in X, if d(x1,x2)<δd(x_1,x_2)<\delta, then d(f(x1),f(x2))<ϵd(f(x_1),f(x_2))<\epsilon.

Theorem of uniform continuous function

Let f:XYf:X\to Y be a continuous map between two metric spaces. If XX is compact, then ff is uniformly continuous.

Definition of isolated point

A point xXx\in X is an isolated point if {x}\{x\} is an open subset of XX.

Theorem of isolated point in compact spaces

Let XX be a nonempty compact Hausdorff space. If XX has no isolated points, then XX is uncountable.

Proof using infinite nested closed intervals should be nonempty.

Variation of compactness

Limit point compactness

A topological space XX is limit point compact if every infinite subset of XX has a limit point in XX.

  • Every compact space is limit point compact.

Sequentially compact

A topological space XX is sequentially compact if every sequence in XX has a convergent subsequence.

  • Every compact space is sequentially compact.

Equivalence of three in metrizable spaces

If XX is a metrizable space, then the following are equivalent:

  1. XX is compact.
  2. XX is limit point compact.
  3. XX is sequentially compact.
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