Chapter 2 - Metric Spaces

2.6 Convergence. Open and Closed Sets


Main: Index
Previous: 2.5 Basic Concepts
Next: 2.7 Complete Metric Spaces


Results

Open Ball
An open sphere/ball S(x0,r) is the set of points xX satisfying the inequality: ρ(x0,x)<r. where ρ is a metric. The fixed point x0 is the center of the sphere, and r is the radius.



Closed Ball
An closed sphere/ball S[x0,r] is the set of points xX satisfying the inequality: ρ(x0,x)r. where ρ is a metric. The fixed point x0 is the center of the sphere, and r is the radius.



Contact Point and Closure
A point xX is a contact point for a set MX if every neighborhood of x (epsilon-ball around x) contains at least one point of M. (For instance, the point 1 is a contact point for (0,1)).

The set of all contact points is called the closure of M and denoted by [M]. For instance, [(0,1)]=[0,1].



Theorem 1

The closure operator [] has the following properties:

1) If MN then [M][N]
2) [[M]]=[M]
3) [MN]=[M][N]
4) []=



Convergence
A sequence {xn} in a metric space converges to a point xX if every neighborhood Oε(x) contains all points of the sequence after some NN. The point x is called the limit of the sequence {xn}.



Theorem 2

A necessary and sufficient condition for a point x to be a contact point of a set M is that there exist a sequence {xn} of points of M converging to x.



Theorem 2'

A necessary and sufficient condition for a point x to be a limit point of a set M is that there exist a sequence {xn} of distinct points of M converging to x.



Dense subset
Let A and B be two subsets of X. A is dense in B if [A]B. And A is said to be dense everywhere if [A]=X.
(Example: Q is dense everywhere in R.)



Definition

A metric space is said to be separable if it has a countable everywhere dense subset.



Closed Sets
A subset M of a metric space (X,ρ) is closed if it coincides with its own closure, that is, [M]=M. Or in other words, it is closed if it contains all it's limit points.



Theorem 3

The intersection of an arbitrary number of closed sets is closed. The union of a finite number of closed sets is closed.



Open Sets
A point x is called an interior point of a set M if x has a neighborhood Oε(x)M, i.e. it has a neighborhood consisting entirely of points of M. A set is said to be open if all its points are interior points.



Theorem 4

A subset M of a metric space (X,ρ) is open if and only if its complement XM is closed.



Corollary

The empty set and the whole space X are open sets. (Note: they also satisfy the conditions for being closed sets, so they are both).



Theorem 5

The union of an arbitrary number of open sets is open. The intersection of a finite number of open sets is open.



Theorem 6

Every open set G on the real line is the union of a finite or countable system of pairwise disjoint open intervals.



Corollary

Every closed set on the real line can be obtained by deleting a finite or coutnable system of pairwise disjoint intervals from the line.



Continuity
Let f be a mapping from X to Y (metric spaces). The function f is continuous if for all ε>0 there exists some δ>0 such that ρ(x0,x)<δρ(f(x0),f(x))<ε. Informally: Whenever we select an x from within the δ-ball in X, the mapping will lie inside the ε-ball in Y. Here is an illustration.









Problem 1

Give an example of a metric space (X,ρ) and two open spheres S(x,r1) and S(y,r2) in X such that S(x,r1)S(y,r2) although r1>r2.

Solution.
Let X=U(1)R2 where U(1) denotes the unit circle, i.e. the set {(x,y)R|x2+y2<1}. The distance is the standard Euclidean metric: ρ(x,y)=x2+y2 Now, select two points x=y=(0,0), and set r1=2 and r2=1. Then r1>r2, but S(x,r1)S(y,r2). (The sets are restricted to a subspace, and in that subspace they are the same).


Problem 2

Prove that every contact point of a set M is either a limit point of M or an isolated point of M.

Proof.
By Theorem 2, for some contact point y for M, there exists a sequence {xn} of points in M that converges to y. By the definition of convergence, for every epsilon-ball Oε(y) there is some NN such that all points in {xn} after xN lie inside Oε(y). There are two exhaustive possibilities,
1) Every Oε(y) contains a single point, in which case y is an isolated point.
2) Every Oε(y) contains an infinite amount of points, in which case y is a limit point.


Problem 3

Prove that if xnx and yny as n, then ρ(xn,yn)ρ(x,y).

Proof.
Using the identity from Problem 1 in section 2.5: |ρ(x,z)ρ(y,u)|ρ(x,y)+ρ(z,u). In our case, we set x=xn, z=yn, y=x and u=y: |ρ(xn,yn)ρ(x,y)|ρ(xn,x)+ρ(yn,y). Taking the limit: limn|ρ(xn,yn)ρ(x,y)|limn(ρ(xn,x)+ρ(yn,y))=0 Which leaves us with: limn|ρ(xn,yn)ρ(x,y)|0 which means ρ(xn,yn)ρ(x,y) as n.


Problem 4

Let f be a mapping from one metric (X,ρ) space to another (Y,ρ), f:XY. Prove that f is continuous at a point x0 if and only if the sequence {yn}={f(xn)} converges to y=f(x0) when xnx0.

Proof.
Showing implication both ways.

) Assume f is continuous and xnx0. For any ε>0, then ρ(f(xn),f(x0))<ε since, by continuity of f, there exists some δ>0 such that ρ(xn,x0)<δ, which follows by convergence of {xn} (set δ=ε2>0). This shows that f(xn)f(x0).

) Assume that xnx0 and that f(xn)f(x0) as n. For any ε>0 we can find some N1N such that ρ(f(xn),f(x0))<ε whenever nN1 and some N2N such that ρ(xn,x0)<ε whenever nN2. Let δ=ε, then ρ(xn,x0)<δ implies that ρ(f(xn),f(x0))<ε for nmax(N1,N2) and we can conclude that f is continuous.


NOTE: In the last part, we showed continuity only for points in the sequence {xn} and not any x close to x0. Do we need an argument on limit points and isolated points?

Problem 5

Prove the statements.

a) The closure of any set M is closed.

Proof.
Any closed set coincides with its closure, and since by Theorem 1, [[M]]=[M], then [M] is a closed set.


b) [M] is the smallest closed set containing M.

Proof.
Assume M is a closed set. Then [M]=M which obviously is the smallest set containing M.

Now assume that M is an open set. Let C be some arbitrary closed set such that MC. Assume y[M], then it is a limit point for M. Since MC and a closed set contains all its limit points, it follows that yC, which shows that [M]C. Since any closed set C containing M also contains [M], it shows that [M] is the smallest closed set.


Problem 6

Is the union of infinitely many closed sets necessarily closed? How about the intersection of infinitely many open sets? Give examples.

Proof.
The countable union of closed sets can be an open set, as shown in Problem 7, in section 1.1. n=1[a+1n,b1n]=(a,b) And the countable intersection of open sets can be a closed sets, also shown in Problem 7. n=1(a1n,b+1n)=[a,b]


Problem 7

Prove directly that the point 1/4 belongs to the Cantor set, F, although it is not an end point of any of the open intervals deleted in constructing F.

Proof.
As noted in the text, any x[0,1] can be written in ternary notation: x=a13+a232++a23n+, where ai can only take values 0,1,2. The x belongs to F if and only if none of the ai equals 1. If write 1/4 in this form it becomes: 14=03+232+033+234+035+236+, or in decimal form: 14=0.0202020202 Since there are no 1s, this shows that 1/4F.


Problem 8

Let F be the Cantor set. Prove the following.

(a) The points of the first kind; 0,1,13,23,19,29,79,89, form an everywhere dense subset of F.

Proof.
Define the set of points to be G. We want to show that F[G], and we do that by showing that any point in F is a limit point of G.

Assume xF. For any ε>0 we will consider the ε-ball, which in this case is the interval: (xε,x+ε). In this interval, we can find some endopints from G satisfying: xε<3k3n<3k+13n<x+ε for some k,nN (a similar argument can be used for any expression of the general formula of the Cantor endpoints). But once we have identified some endpoints that are in the set, we can find an infinite amount of endpoints that are between them, from the Cantor set construction. This means (xε,x+ε) contains an infinite amount of points from G, which means that xF is a limit point for G.

The closure of a set will contain all its limit points, so since xF is a limit point for G, then x[G]. Since x was an arbitrary point, this shows that F[G], which also shows that G is an everywhere dense subset of F.


(b) The numbers of the form t1+t2, where t1,t2F, fill the whole interval [0,2].

Skipped for now...

Problem 9

Given a metric space (X,ρ), let AX and xX. Then the number ρ(A,x)=infaAρ(a,x) is called the distance between A and x. Prove the following statements:

(a) xA implies ρ(A,x)=0, but not conversely.

Proof.
Assume xA. Since the distance is nonnegative, infaAρ(a,x)0 then a=x so infaAρ(a,x)=ρ(x,x)=0.

To show that the converse is not true consider the following counterexample. Let X=R, let A=(0,1) and let x=1. Then xA, but for any ε>0 we can find some aA such that |a1|<ε, which means infaAρ(a,x)=0.


(b) ρ(A,x) is a continuous function of x (for fixed A).

Proof.
Defining f(x):=ρ(x,A).

If VX is an open set containing f(x), then f is continuous if there is some open set UX such that xU and f(U)V.

Assume f(x)V for some open set V. Then for any ε>0 there exists an epsilon-ball such that Oε(f(x))V. Now, our claim is that there exists some open set U=Oε2(x) such that f(U)Oε(f(x))V. Let yA and zOε2(x), which means that the distance from z to x is smaller than ε/2. By the triangle inequality: ρ(y,z)ρ(x,y)+ρ(x,z) ρ(x,y)ρ(x,z)+ρ(z,y). By the property of the infimum; ρ(z,A)ρ(x,A)+ρ(x,z)<ρ(x,A)+ε2 ρ(x,A)ρ(x,z)+ρ(z,A)<ρ(z,A)+ε2 Or directly, ρ(z,A)<ρ(x,A)+ε2 ρ(x,A)<ρ(z,A)+ε2 Which, when combined, shows us that: ρ(x,A)ε2<ρ(z,A)<ρ(x,A)+ε2 which shows that f(z)Oε)f(x)V, and that f(U)V which proves that f is continuous.


(c) ρ(A,x)=0 if and only if x is a contact point of A.

Proof.
) Assume ρ(A,x)=0. Then for any ε>0, the point Oε(x) will contain points in A and is therefore a contact point of A.

) Assume xA is a contact point. Assume further that A is closed. Then xA, since a closed point contains all its contact points. Then by (a), the distance from A to x is 0. Assume now that A is open. Let x be a contact point. By definition, for any ε>0 the ball Oε(x) will contain points from A, so ρ(A,x)<ε. Since this is true for any ε>0, this means that ρ(A,x)=0.


(d) [A]=AM, where M is the set of all points x such that ρ(A,x)=0.

Proof.
) Assume x[A]. Since [A] is closed it contains all its contact points, so ρ(A,x)=0, which means xMAM. Hence [A]AM.

) Assume xA. Since A[A] then x[A]. Assume now that xM and xA. Then by definition of M, ρ(A,x)=0 which means x is a contact point for A by (c), which also means x[A]. It follows that AM[A].


Problem 10

Let A and B be two subsets of a metric space (X,ρ). Then the number ρ(A,B)=infaA,bBρ(a,b) is called the distance between A and B. Show that ρ(A,B)=0 if AB, but not conversely.

Proof.
Let xAB. Then by 9(a), ρ(x,A)=0 and ρ(x,B)=ρ(B,x)=0. From the triangle inequality, ρ(A,B)ρ(A,x)+ρ(x,B)=0+0=0 which shows that ρ(A,B)=0.

Showing that the converse is not true with a counterexample. Let X=R, let A=(0,1) and let B=[1,2). Then as shown above, ρ(A,1)=0 and since 1B, ρ(A,B)=0.


Problem 11

Skipped...

Problem 12

Skipped...