Regions in the Complex Plane

Before we can rigorously develop a good foundation for the concepts of functions and limits we need some set theoretic definitions that will presumably come in handy later.

Definitions

Definition

An ε\varepsilon-neighborhood of a point z0z_0, often denoted as Nε(z0)N_\varepsilon (z_0) is the set of all points zz lying inside but not on a circle of radius ε\varepsilon centered at z0z_0.

Nε(z0)={zC:zz0<ε}N_\varepsilon (z_0) = \{z \in \mathbb C : \vert z - z_0 \vert \lt \varepsilon\}

It is understood that when we speak of a neighborhood we are speaking of an ε\varepsilon-neighborhood. Also note that the value of ε\varepsilon is unspecified -- it could be 0.1, 1000, or 42 -- whatever we need for the current circumstance.

Topologists are fond of calling these structures open balls .

Epsilon Neighborhood
An epsilon neighborhood
Definition

A deleted neighborhood , also called a punctured disk , of a point z0z_0 is an ε\varepsilon-neighborhood of z0z_0 that does not contain z0z_0. In set-theoretic notation we can write the deleted neighborhood of z0z_0 as Nε(z0){z0}N_\varepsilon (z_0) \setminus \{z_0\}

Definition

An interior point is a point z0z_0 of a set SS such that there exists some neighborhood of z0z_0 that is entirely contained in SS. Or, ε>0\exists \varepsilon > 0 such that Nε(z0)SN_\varepsilon (z_0) \subseteq S

Definition

An exterior point is a point z0z_0 such that there exists some neighborhood of z0z_0 containing no points in SS. Or, ε>0\exists \varepsilon > 0 such that Nε(z0)⊈SN_\varepsilon (z_0) \not\subseteq S

Definition

A boundary point is a point z0z_0 of a set SS that is neither an interior point of SS or an exterior point of SS. Equivalently, a boundary point is a point z0z_0 such that every neighborhood of z0z_0 contains at least one point in SS and at least one point not in SS.

Or, ε>0,p1,p2Nε(z0)\forall \varepsilon > 0,\, \exists p_1, p_2 \in N_\varepsilon (z_0) such that p1Sp_1 \in S and p2∉Sp_2 \not\in S.

Definition

The boundary of a set SS is the set of all the boundary points of SS.

Definition

An open set is a set that contains none of its boundary points. A set is open if and only if each of its points is an interior point.

Definition

A closed set is a set that contains all of its boundary points.

Note that not being open does not imply being closed! E.g. if a set contains a single boundary point it is not open, but is not closed either. Also note that a set can be both open and closed. For example, C\mathbb C has no boundary points, so it contains all of them, yet each of its points is an interior point, so it is both open and closed. A tongue in cheek name for such sets is clopen .

Definition

The closure of a set is the closed set consisting of all points in SS together with the boundary of SS, denoted by Cl(S)\operatorname{Cl}(S). The closure can be thought of as an operation to a set.

Definition

A connected set is an open set SS such that any pair of points z1,z2Sz_1, z_2 \in S can be joined by a polygonal line that lies entirely in SS.

Definition

A polygonal line is a finite number of line segments joined end to end.

A connected set
A connected set
Definition

A domain is a nonempty, open, connected set. Note that any neighborhood is a domain.

Definition

A region is a domain together with none, some, or all of its boundary points.

Definition

A set is bounded if every point in SS lies inside some circle z=R\vert z \vert = R with some finite radius RR. Otherwise, SS is unbounded .

Definition

An accumulation point of a set SS is a point z0z_0 such that every deleted neighborhood of z0z_0 contains at least one point of SS. Note that closed sets contain all of their accumulation points.

Examples

Example

Is the set S={zC:Rez1, and Imz>2}S = \{z \in \mathbb C : \operatorname{Re}z \geq 1, \text{ and } \operatorname{Im}z > 2\} illustrated below, open, closed, or neither? How can a set be neither open or closed??

A set that is neither open nor closed
A set that is neither open nor closed

We ask ourselves, does SS contain any of its boundary points (is it open?) No, SS contains at least one of its boundary points, so it is therefore not open.

Does SS contain all of its boundary points (is it closed?) No, SS is missing a part of its boundary -- namely the Imz=2\operatorname{Im}z = 2 boundary. So therefore SS is not closed.

We can then see that the definitions of open and closed are not opposites -- A set can be neither open nor closed.

Example

Now consider the set C\mathbb C. First, we ask if C\mathbb C has any boundary points. It doesn't. Does C\mathbb C contain all of its 0 boundary points? Yes. Also, C\mathbb C doesn't contain its 0 boundary points -- because they don't exist!

C\mathbb C is therefore both open and closed!

What about \emptyset? It certainly does not contain any of its boundary points -- namely because it contains absolutely nothing! However, as there are no boundary points to contain, it contains all of them. So the empty set is both empty and closed!

Example

Now what about S={zC:Rez1, and Imz2,z0}S = \{z \in \mathbb C : \operatorname{Re}z \geq 1, \text{ and } \operatorname{Im}z \geq 2, z \neq 0\} illustrated below?

Another set that is neither open nor closed
Another set that is neither open nor closed

Again, there's a boundary point that is not in SS, so SS is not closed, but it's also not open, as SS does contain some of its boundary points.

Example

Now what if we take T=S{0}T = S \cup \{0\}, or rather, include 0 in the above set?

Finally a set that's closed
A closed set

Now, TT does contain all of its boundary points, so TT is closed! We also ask ourselves again if TT is open, but because it contains at least one of its boundary points, TT is not open.

Example

Finally, consider the set S={zC:Rez>1, and Imz>2}S = \{z \in \mathbb C : \operatorname{Re}z > 1, \text{ and } \operatorname{Im}z > 2\}.

An open set for completeness sake
An open set

This set is open because it does not contain any of its boundary points.

Example

Now consider the set S={zC:Imz>1}S = \{z \in \mathbb C : \operatorname{Im}z > 1\} drawn below

An example of a simple domain
A simple domain

We ask ourselves a series of questions about SS.

  • Is it open? Yes. It contains none of its boundary points.
  • Is it bounded? No. The set goes on forever in the positive yy direction and along the real axis.
  • Is it connected? Yes. Every pair of points in SS can be joined by a polygonal line.
  • Is it a domain? Yes, it's nonempty, open, and connected.
Example

Now consider the region bounded by the inequality

z4z\vert z - 4 \vert \geq \vert z \vert

Graphing certainly makes interpreting regions in the complex plane easier, so we work on simplifying the above inequality into something we can work with.

First, we use the definition of the modulus of complex numbers

(x4)2+y2x2+y2\sqrt{(x - 4)^2 + y^2} \geq \sqrt{x^2 + y^2}

Since the modulus is by definition positive, we can square both sides without committing a mathematical sin

(x4)2+y2x2+y2(x4)2+y2x2+y2x28x+16x2x28x+16x2168x2x\begin{aligned} (x - 4)^2 + y^2 &\geq x^2 + y^2\\ (x - 4)^2 + \cancel{y^2} &\geq x^2 + \cancel{y^2}\\ x^2 - 8x + 16 &\geq x^2\\ \cancel{x^2} - 8x + 16 &\geq \cancel{x^2}\\ 16 &\geq 8x\\ 2 &\geq x\\ \end{aligned}

In other words, we are dealing with the set S={zC:Rez2}S = \{z \in \mathbb C : \operatorname{Re}z \leq 2\}

An example of a simple region
A simple region

This set is closed, not open, not a domain, and not bounded.

Example

What about S={zC:z0,0argzπ4}\displaystyle S = \left\{z \in \mathbb C : z \neq 0, 0 \leq \operatorname{arg}z \leq \frac{\pi}{4}\right\}?

An example of a simple region
A simple region

This set is not open, not closed (z∉Sz \not\in S), not a domain, not bounded, but is connected.

Example

Now consider the region of the complex plane defined by the inequality Rez<z\vert \operatorname{Re}z \vert \lt \vert z \vert. Using our brains (gasp) we might be able to convince ourselves that this inequality is true unless zRz \in \mathbb R. However, to make sure, we perform the algebra.

Rez<zx<x2+y2x2<x2+y2x2<x2+y20<y20<±y\begin{aligned} \vert \operatorname{Re}z \vert &\lt \vert z \vert\\ \vert x \vert &\lt \sqrt{x^2 + y^2}\\ \vert x \vert^2 &\lt x^2 + y^2\\ \cancel{\vert x \vert^2} &\lt \cancel{x^2} + y^2\\ 0 &\lt y^2\\ 0 &\lt \pm y\\ \end{aligned}

An example of an unbounded set
An unbounded set

Another way of defining this region might be S={zC:Imz0}S = \left\{z \in \mathbb C : \operatorname{Im}z \neq 0\right\}. Note that Cl(S)=C\operatorname{Cl}(S) = \mathbb C

Example

Consider the set Zn={in:nN}\displaystyle{Z_n = \left\{\frac{i}{n} : n \in \mathbb N\right\}} illustrated below

accumulation point example
An accumulation point

Note that 0 is not contained in this set. We can get as close as we like to 0, but we can never quite get there. That means that 0 is a boundary point of ZnZ_n.

Also note that every point is not an interior point, as any neighborhood of any point is not entirely contained in ZnZ_n.

Let us now consider the deleted neighborhood of 0. No matter what ε\varepsilon we pick, we can always find an element of ZnZ_n that is within the deleted neighborhood. This means that every deleted neighborhood of 0 contains at least one point of ZnZ_n, so 0 is an accumulation point of ZnZ_n. We can also see that 0 is the only accumulation point of ZnZ_n, because no matter what point we pick, there will always be some distance between the point we pick and its neighbors that is not in ZnZ_n.

Also note that 0 is ZnZ_n's only boundary point, so Cl(Zn)={Zn,0}\operatorname{Cl}(Z_n) = \{Z_n, 0\}

Example

Now consider the set Zn={in:nN}={i,1,i,1}Z_n = \{i^n : n \in \mathbb N\} = \{i, -1, i , 1\} illustrated below.

accumulation point example 2
A set with no accumulation points

This set has no accumulation points.

Example

Consider the set Zn={inn:nN} Z_n = \left\{\frac{i^n}{n} : n \in \mathbb N\right\}

accumulation point example 3
An accumulation point

Note how the sequence spirals closer and closer to 0, but never actually hits it. It's very similar to the first accumulation point example. 0∉Zn0 \not\in Z_n, but no matter what ε\varepsilon we pick around 0, we can always find a point within that ε\varepsilon. Therefore 0 is an accumulation point, and is actually the only accumulation point of this set.

Example

Lastly, consider the set

Zn={(1)n(1+i)n1n:nN}={0,12(1+i),23(1+i),34(1+i),45(1+i),} Z_n = \left\{(-1)^n(1 + i)\frac{n - 1}{n} : n \in \mathbb N\right\} = \left\{-0,\, \frac{1}{2}(1 + i),\, \frac{-2}{3}(1 + i),\, \frac{3}{4}(1 + i),\, \frac{-4}{5}(1 + i),\, \dots\right\}

accumulation point example 4
Two accumulation points

1+i1 + i and (1+i)-(1 + i) are the only accumulation points of ZnZ_n, but are not in ZnZ_n.

Also note that for a little bit of intuition, points accumulate at the accumulation points -- though not necessarily from one direction.