This is a brief supplemental note on the Gaussian integers, written for my Spring 2016 Elementary Number Class at Brown University. With respect to the book, the nearest material is the material in Chapters 35 and 36, but we take a very different approach.
A pdf of this note can be found here. I'm sure there are typos, so feel free to ask me or correct me if you think something is amiss.
In this note, we cover the following topics.
- What are the Gaussian integers?
- Unique factorization within the Gaussian integers.
- An application of the Gaussian integers to the Diophantine equation
. - Other integer-like sets: general rings.
- Specific examples within
and .
1. What are the Gaussian Integers?
The Gaussian Integers are the set of numbers of the form
In many ways, the Gaussian integers behave very much like the regular integers. We've been studying the qualities of the integers, but we should ask — which properties are really properties of the integers, and which properties hold in greater generality? Is it the integers themselves that are special, or is there something bigger and deeper going on?
These are the main questions that we ask and make some progress towards in these notes. But first, we need to describe some properties of Gaussian integers.
We will usually use the symbols
Definition 1 For each complex number, we define the conjugate of , written as , by We also define the norm of , written as , by
You can check that
Even from our notation, it's intuitive that
As a brief example, consider the Gaussian integer
We can ask similar questions to those we asked about the regular integers. What does it mean for
Definition 2 We say that a Gaussian integerdivides another Gaussian integer if there is some Gaussian integer so that . In this case, we write , just as we write for regular integers.
For the integers, we immediately began to study the properties of the primes, which in many ways were the building blocks of the integers. Recall that for the regular integers, we said
That is, the only solutions to
With this in mind, we are ready to define the notion of a prime for the Gaussian integers.
Definition 3 We say that a Gaussian integerwith is a Gaussian prime if the only divisors of are and , where is a Gaussian unit.
Remark 1 When we look at other integer-like sets, we will actually use a different definition of a prime.
It's natural to ask whether the normal primes in
With a concept of a prime, it's also natural to ask whether or not the primes form the building blocks for the Gaussian integers like they form the building blocks for the regular integers. We take up this in our next topic.
2. Unique Factorization in the Gaussian Integers
Let us review the steps that we followed to prove unique factorization for
- We proved that for
in with , there exist unique and such that with . This is called the Division Algorithm. - By repeatedly applying the Division Algorithm, we proved the Euclidean Algorithm. In particular, we showed that the last nonzero remainder was the GCD of our initial numbers.
- By performing reverse substition on the steps of the Euclidean Algorithm, we showed that there are integer solutions in
to the Diophantine equation . This is often called Bezout's Theorem or Bezout's Lemma, although we never called it by that name in class. - With Bezout's Theorem, we showed that if a prime
divides , then or . This is the crucial step towards proving Unique Factorization. - We then proved Unique Factorization.
Each step of this process can be repeated for the Gaussian integers, with a few notable differences. Remarkably, once we have the division algorithm, each proof is almost identical for
In the division algorithm, we require the remainder
When this sort of problem emerges, we will get around this by taking norms. Since the norm of a Gaussian integer is a typical integer, we will be able to use the ordering of the integers to order our norms.
Theorem 4 Forin with , there exist and in such that with .
Proof: Here, we will cheat a little bit and use properties about general complex numbers and the rationals to perform this proof. One can give an entirely intrinsic proof, but I like the approach I give as it also informs how to actually compute the
The entire proof boils down to the idea of writing
Let us now transcribe that idea. We will need to introduce some additional symbols. Let
Then
We know that for any rational number
Then we claim that we can choose
We compute
So we have that
Note that in this proof, we did not actually show that
Example 1 Consider. Then we compute The closest integer to is , and the closest integer to is . So we take . Then , and we see in total that Note that and , so this choice of and works. As is sort of close to , what if we chose instead? Then , leading to the overall expression Note that , so that this choice of and also works. This is an example of how the choice of and is not well-defined for the Gaussian integers. In fact, even if one decides to choose to that is minimal, the resulting choices are still not necessarily unique.
This may come as a surprise. The letters
Are we able to prove unique factorization when the process of division itself seems to lead to ambiguities? Let us proceed forwards and try to see.
Our next goal is to prove the Euclidean Algorithm. By this, we mean that by repeatedly performing the division algorithm starting with two Gaussian integers
Before we can do that, we need to ask a much more basic question. What do we mean by a greatest common divisor? In particular, the Gaussian integers are not ordered, so it does not make sense to say whether one Gaussian integer is bigger than another.
For instance, is it true that
To remedy this problem, we will choose a common divisor of
Definition 5 For nonzeroin , a greatest common divisor of and , denoted by , is a common divisor with largest norm. That is, if is another common divisor of and , then . If , then we say that and are relatively prime. Said differently, if is a greatest common divisor of and , then we say that and are relatively prime.
Remark 2 Note thatas we're writing it is not actually well-defined, and may stand for any greatest common divisor of and .
With this definition in mind, the proof of the Euclidean Algorithm is almost identical to the proof of the Euclidean Algorithm for the regular integers. As with the regular integers, we need the following result, which we will use over and over again.
Lemma 6 Suppose thatand . Then for any in , we have that .
Proof: As
Then
Notice that this proof is identical to the analogous statement in the integers, except with differently chosen symbols. That is how the proof of the Euclidean Algorithm goes as well.
Theorem 7 letbe nonzero Gaussian integers. Recursively apply the division algorithm, starting with the pair and then choosing the quotient and remainder in one equation the new pair for the next. The last nonzero remainder is divisible by all common divisors of , is itself a common divisor, and so the last nonzero remainder is a greatest common divisor of and . Symbolically, this looks like where is the last nonzero remainder, which we claim is a greatest common divisor of and .
Proof: We are claiming several thing. Firstly, we should prove our implicit claim that this algorithm terminates at all. Is it obvious that we should eventually reach a zero remainder?
In order to see this, we look at the norms of the remainders. After each step in the algorithm, the norm of the remainder is smaller than the previous step. As the norms are always nonnegative integers, and we know there does not exist an infinite list of decreasing positive integers, we see that the list of nonzero remainders is finite. So the algorithm terminates.
We now want to prove that the last nonzero remainder is a common divisor and is in fact a greatest common divisor. The proof is actually identical to the proof in the integer case, merely with a different choice of symbols.
Here, we only sketch the argument. Then the rest of the argument can be found by comparing with the proof of the Euclidean Algorithm for
For ease of exposition, suppose that the algorithm terminated in exatly 3 steps, so that we have
On the one hand, suppose that
On the other hand,
We have shown that
Suppose that
This is true for every common divisor
The argument carries on in the same way for when there are more steps in the algorithm.
Theorem 8 The greatest common divisor ofand is well-defined, up to multiplication by . In other words, if is a greatest common divisor of and , then all greatest common divisors of and are given by .
Proof: Suppose
But as both
Conversely, it's clear that the four numbers
Now that we have the Euclidean Algorithm, we can go towards unique factorization in
Example 2 Considerand . The Euclidean Algorithm looks like So we know that is a greatest common divisor of and , and so we know that and are relatively prime. Let us try to find a solution to the Diophantine equation Performing reverse substition, we see that Multiplying this through by , we have that So one solution is . Although this looks more complicated, the process is the same as in the case over the regular integers. The apparent higher difficulty comes mostly from our lack of familiarity with basic arithmetic in .
The rest of the argument is now exactly as in the integers.
Theorem 9 Suppose thatare relatively prime, and that . Then .
Proof: This is left as an exercise (and will appear on the next midterm in some form — cheers to you if you've read this far in these notes). But it's now the almost the same as in the regular integers.
Theorem 10 Letbe a Gaussian integer with . Then can be written uniquely as a product of Gaussian primes, up to multiplication by one of the Gaussian units .
Proof: We only sketch part of the proof. There are multiple ways of doing this, but we present the one most similar to what we've done for the integers. If there are Gaussian integers without unique factorization, then there are some (maybe they tie) with minimal norm. So let
If this seems unclear, I recommend reviewing this proof and the proof of unique factroziation for the regular integers. I should also mention that one can modify the proof of unique factorization for
3. An application to
We now consider the nonlinear Diophantine equation
In
Lemma 11 Supposeis a Gaussian integer, and is a regular prime. Then is a Gaussian prime.
Proof: Suppose that
As
Suppose we are in the case of the latter two, so that
By unique factorization in
So we rule out the case then
Recall that
If
If
And so the only solution is
4. Other Rings
The Gaussian integers have many of the same properties as the regular integers, even though there are some differences. We could go further. For example, we might consider the following integer-like sets,
We might ask what properties these other integer-like sets have. For instance, do they have unique factorization?
More generally, there is a better name than ''integer-like set'' for this sort of construction.
Suppose
It is not important that you explicitly remember exactly what the definition of a ring is. The idea is that there is a name for things that are ''integer-like'' and that we might wonder what properties we have been thinking of as properties of the integers are actually properties of rings.
As a total aside: there are very many more rings too, things that look much more different than the integers. This is one of the fundamental questions that leads to the area of mathematics called Abstract Algebra. With an understanding of abstract algebra, one could then focus on these general number theoretic problems in an area of math called Algebraic Number Theory.
5. The rings
We can describe some of the specific properties of
Some of the definitions we've been using turn out to not generalize so easily, or in quite the ways we expect. If
In general, we call a number
Let us look at
What does this mean? This means that
It's a good thought exercise to think about what is really different between
Understanding when there is and is not unique factorization in
One reason why can be seen in
Here, that means trying to solve the equation
So there are infinitely many units in
As you look further, there are many more strange and interesting behaviours. It is really interesting to see what properties are very general, and what properties vary a lot. It is also interesting to see the different ways in which properties we're used to, like unique factorization, can fail.
For instance, we have seen that
In other rings, you can have numbers which factor in more fundamentally different ways. The actual behaviour here is also really poorly understood, and there are mathematicians who are actively pursuing these topics.
It's a very large playground out there.
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Comments (1)
2016-04-20 davidlowryduda
[Thank you to Deepak for pointing out a few typos.]