Algebraic motivation

In , I was unable to solve all equations involving addition (which is repeated successor), for instance

so I introduced an equivalence relation that “emulates” what the difference between two naturals is, and that is how I constructed the integers . Now, I can solve the above equation , essentially by inventing negative numbers.

Not all equations involving multiplication (which is repeated addition) have integer solutions (the ones that do are studied in the Divisibility chapter), for instance

has no solutions in . I followed a similar construction and solved this by introducing fractions: in the bigger space of rationals .

But even in , not all equations have solutions, for instance those involving powers (repeated multiplication):

This construction is out of scope of this course as it is considerably different and more complicated, but the general idea holds: I invented positive roots to solve it: . This much bigger space (this one is uncountable) is the reals .

What equations have no solutions in the reals? One example involves negative roots, like . So to construct the next stage, the complex numbers , I simply invent a solution for it and call it the imaginary unit .

Opinion.

I argue that the only reason this seems more arbitrary (or even like I’m cheating) is because of habit, and not due to any theoretical barrier. Remember how negative numbers make no sense in elementary school and now you find them trivial. The same way, had you been introduced to imaginary numbers earlier, you would find them just as sensible.

I will skip the more formal construction of as a quotient over in favor of a simpler construction of more immediate use.

The set of complex numbers is given by

where . The operations are given by

Complex numbers are used in many places, from electrical engineering to solving difficult real integration problems and, perhaps surprisingly, in number theory and combinatorics:

Very hard exercise.

(Andreescu-Feng) In how many ways can you pick distinct positive integers less than such that their sum is a multiple of 5?

Notice that if you restrict the product to multiplying only reals on the left, then this is a real scalar product on the set of complex numbers. Moreover, the following is true.

Remark.

If you know linear algebra, prove that and are isomorphic as vector spaces over .

As I will show later, the space is also a topological space with the metric described, and this space is identical (formally, this is called homeomorphic) to . The result below is much more important for my purposes.

Theorem.

is a field.

Proof:

I will only proof the interesting parts which is first noting that and are identity elements for the sum and product respectively, and also the existence of inverses:

If , then

An important difference between and is that the former is a linearly ordered field, but the latter is not. There are other insightful differences more relevant to algebra, such that the fact that all complex polynomials have roots. This is the fundamental theorem of algebra, which I do not cover in this course.

Exercise.

Prove that there is no strict linear order (that is, an irreflexive, asymmetric, transitive relation where any two distinct elements are related) on that preserves the operations.

The first result about the complex numbers I will prove to you is that square roots exist.

Proposition.

For all , there is a such that .

Proof:

Suppose that . It is sufficient to find reals and such that

Squaring and adding, , from where , meaning I have reduced the problem to applying the quadratic formula (for real roots). Therefore, and where

Finally, the two (possibly equal) roots are where .

Example.

The square roots of are given by , and thus .

Warning:

Be careful not to assume statements about the complex numbers that you know are true for the reals. Here is an example:

Geometry of the complex plane

From now on, and are complex numbers.

Real and imaginary parts.

  1. The real part of is ; and
  2. the imaginary part of is .

Basic properties of real and imaginary parts.

  1. The real and imaginary parts of a complex number are always real numbers.
  2. Two complex numbers are equal if and only if their real and imaginary parts are equal.
  3. and .
  4. For all , , and the same for . (Linearity)

Complex conjugate.

The conjugate of is .

Basic properties of conjugates.

  1. . (The conjugate is an involution, also mentioned in this hard exercise)
  2. and .
  3. when .
  4. and .
  5. if and only if if and only if .

Complex modulus.

The modulus of is .

Note:

is equivalent to the Euclidean metric of seen in Metric spaces.

Basic properties of moduli.

  1. and .
  2. and whenever .
  3. .
  4. and .

Complex arguments.

For , the principal argument of is the unique that measures the angle between and the positive real axis. Also, I denote .

Example.

.

Polar representation.

Every complex number can be represented as where .

Basic properties of polar representation.

  1. Suppose that and . Show that there is a unique integer such that .
  2. If , then and .
  3. For and , and
  1. If with , then for every , .

de Moivre's formula.

Prove 17 above changing to .

Complex roots.

For nonzero , has exactly complex solutions for . A solution is called an th root of and the set of all solutions is denoted by .

Proof:

Let . Then is a solution for every integer . Moreover, if and only if .

Finally, if is a set of pairwise incongruent integers, then is the set of all solutions.

Exercise.

Prove that , where .

Example ( complex roots of unity).

Let . Then the th roots are for , and hence if , then are all roots of unity.

Proposition.

Let be nonzero. If is an th root of , then is the set of all th roots.

To make give a unique value, as opposed to a set of values, I need to restrict the domains to fixed intervals for the angles. This is called picking a branch of the function. The fact that these exist is part of the reason complex analysis is so different from real analysis.

This finishes the extension of the exponential function to all rational numbers. Further extending this to all complex numbers requires knowledge of power series and differentiability, which is out of scope of the course. Doing so is where this famous equality appears:

Very curious identity, as it combines the simplest equivalence relation (equality), the three fundamental operations (addition, multiplication and exponentiation) with the four fundamental constants (the two identities, the imaginary unit, and the transcendental numbers and ) all exactly once.

Topology of the complex plane

I already established that is a metric space with the metric given by the difference of the modulus. Thus, the section on metric spaces applies to as well.

Exercise.

Prove that a sequence of complex numbers converges to if and only if the sequences of reals and converge to and respectively.

It is convenient to introduce a new symbol and extend the existing operations to it.

Definition.

The extended complex plane is the set . I convene that , and for , , , and .

I want to endow with a topology given by some metric . For this to be useful, I want the following conditions satisfied. I delay the construction of until after understanding why I need it.

Basic properties of .

  1. Open sets of are open in . In symbols, .
  2. For every open , is open in .
  3. For all there is an such that for all , .

The intuition behind the last condition is that points far from the origin should be close to the point at infinity. I denote by the open balls of . Now here comes the big reveal:

Theorem.

is compact.

The following lemma is left as an exercise.

Lemma.

For every if , then is compact in .

Proof of the theorem:

Take , an open cover of , and split it as and . Note that the former cannot be empty by the definition of cover. Also, is an open set of containing . Then, by the lemma, is a compact subset of . Note that and so by basic property (2), the elements of are open in both and .

It follows that is an open cover (in ) for the compact set and thus, by definition, it has a finite subcover . By basic property (1), the members of are also open in . Thus, it is clear that is then a finite subcover of .

Remark.

There are examples of sequences in that diverge in but converge in . In fact, by the theorems proved about sequential compactness, every sequence in has a convergent subsequence.

This section just presented the simplest example of what topologists call the Alexandroff compactification of a Hausdorff space. The explicit metric is constructed below, but following the spirit of “avoiding calculations”, I leave reading this to you.

Stereographic projection

Note:

This section requires lots of sketches on the board.

Let be the three-dimensional unit sphere and consider the map given by and

in any other case.

Exercise.

Show that is a bijection and find the inverse .

Extended metric.

The metric on is defined by where is the Euclidean metric on .

Exercise.

  1. Prove that is a metric.
  2. Show that and .

Exercise (out of scope).

Prove that for any , is open in if and only if it is open in .

The last exercise shows that is a homeomorphism, which is a map that preserves all topological properties. Note, if you knew this beforehand, then that the fact that is a compact subset of the three-dimensional space immediately gives that is compact as well.