1.3 Distance and Limits

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  1. Distance
  2. Limits of Sequences
  3. Limits of Interval Maps

We can use the absolute value of a complex number to determine distance in the complex plane, and therefore to define what it means for a sequence of complex numbers to converge to a limit.

Distance

Definition (Distance)

The distance between complex numbers z,wC is |zw|.

Figure 1: The distance between complex numbers z and w is defined to be |zw|.

The distance between two complex numbers as we have defined it here is the same as the Euclidean distance between the corresponding vectors in R2.

Definition (Open Ball)

The open ball of radius r>0 centered at zC is the set B(z,r)={wC:|zw|<r} of all complex numbers w within a distance of r from z.

Open balls give us a notion of nearness. If complex numbers belong to an open ball of small radius then they are all close to the center of the ball.

Figure 2: The open ball B(z,r) centered at z of radius r is the shaded region of the plane. The point w belongs to the ball.

Limits of Sequences

The crucial definition in this section is what it means for a sequence of complex numbers to converge to a limiting complex number. Recall that a sequence of complex numbers is just an indexed list z1,z2,z3, of complex numbers. Formally, a sequence is any function from N to C.

Definition (Convergence)

A sequence zn of complex numbers converges to a complex number a if, for every ϵ>0 one can find NN such that nN implies |zna|<ϵ.

When zn converges to a we write limnzn=a. This is equivalent to the real limit statement limn|zna|=0. We can interpret convergence in terms of open balls because |zna|<ϵ is equivalent to znB(a,ϵ).

Figure 3: A sequence zn converges to a if and only if, for every ϵ>0 there is NN such that znB(a,ϵ) for all nN.

Example

The sequence zn=1n+in2 converges to 0.

Solution:

Fix ϵ>0. We must produce NN with the property that |zn0|<ϵ whenever nN. First we calclate |zn0|=|1n+in2|=|nin2n2+n4|=(nn2+n4)2+(n2n2+n4)2=1n2+n41n so that, if nN>1ϵ we automatically have |zn0|<ϵ.

Lemma

If limnzn=a and limnwn=b then the following all hold.

  1. limnzn+wn=a+b
  2. limnczn=ca for all cC
  3. limnznwn=ab
  4. limn1/zn=1/a if a0
Proof:

The proofs of these results are exactly the same as in the real case.

Lemma

Let znC for all nN and write zn=xn+iyn. Then zn converges if and only if xn and yn converge.

Proof:

Suppose that znz and write z=x+iy. Then |xnx||xnx|2+|yny|2=|znz|0 as n. Hence xnx. A similar argument show that yny.

Conversely, suppose that xn converges to a and yn converges to b. Then limnzn=limnxn+ilimnyn=a+ib so that zna+ib.

Limits of Interval Maps

Next, we will talk about continuity of functions from intervals [a,b]R to the complex plane. Informally, such a function is continuous if it can be drawn without lifting the pen from the paper. The formal definition involves limits.

Definition (Continuity of a Path)

Fix ab real. A function γ:[a,b]C is continuous at c[a,b] if limtcγ(t)=γ(c) holds as a limit using the absolute value. We say that γ is continuous if it is continuous at every acb.

Formally, the expression limtcγ(t)=γ(c) means the following: for every ϵ>0 there is δ>0 such that |st|<δ implies |γ(s)γ(c)|<ϵ. For the most part, we will take continity of functions given by simple formulae for granted. In such cases, continuity can be verified using the laws of limits. We finish with a discontinuous example.

Example

The function defined on [1,2] by γ(t)={i+tt<1.51+itt1.5 is not a path.

Figure 3: For 0t<1.5 the function γ traverses the horizontal segment and for 1.5t2 it traverses the vertical segment. Since they are not joined together, we suspect γ is not continuous.

To see this, we calculate the limits from the left and from the right as t tends to 1.5. We have limt1.5+γ(t)=limt1.5+1+it=1+32ilimt1.5γ(t)=limt1.5i+t=32+i and these limits are not the same, verifying what we suspect from the picture.