The chapter 4 will be devoted to understand the structure of a single variable polynomial ring over a commutative unitary ring . Mostly, will be taken as a field , under which case behaves like as a ring, so we will redo most of chapter 1 content for .

We start with the concrete description of elements in , and the concrete description of addition and multiplication.

as a set

To describe the elements in , we just image we have a usual polynomial with variable :

where for all . We usually represent a polynomial using or since polynomials have dual nature of being a function and an algebraic expression.

Zero coefficients convention

In many of previous examples and exercises, we have seen polynomials with some degree terms missing, for example, . On the surface, it does not look like a polynomial in polynomial form since -term is missing. However, we can always add a zero coefficient to it:

This is a common practice, we will state most of theorems in the form of polynomial form. When encountering a polynomial with missing degree terms, we will assume add zero coefficients to it.

Addition in

Now let’s formulate precisely how to add two polynomials. Let’s take two polynomials and in :

The expressions we have may not have the same length, let’s assume . We can employ the the adding zero principle to make them the same length:

Now we can add them together term by term, and every addition on the coefficients is done in :

Example

Add the following two polynomials in :

We have:

We can easily find the additive identity in :

Proposition

Let be a commutative unitary ring, then the additive idenntity in is .

Multiplication in

Again, we have two polynomials and in :

We can define the product of and as:

To give a more concrete description, let’s consider how can we produce the coefficient of in the product. To get , we need to multiply in with in , so the coefficient of is:

We may again use the adding zero principle to make the sum always defined.

Example

Multiply the following two polynomials in :

We can list the sequence of coefficients in the result:

We can aggregate the coefficients together:

We can easily find the multiplicative identity in :

Proposition

Let be a commutative unitary ring, then the multiplicative idenntity in is .

Using the multiplication defined above, we can prove the following properties:

Theorem

Let be an integral domain, then is also an integral domain.

Proof of Theorem

We will omit the proof for being a commutative ring with unity, since it is straightforward. We give the proof for the zero divisor property. We choose to show the contrapositive: Suppose and . We want to show .

We can write:

where . We have:

Now we find the leading term of is , which is non-zero since . This implies .

Degree of a polynomial

When we write a polynomial, we usually have multiple different representations, for example:

In practice, we usually prefer the first form, it has two advantages:

  1. All terms are in decreasing order of powers of .
  2. The coefficient of the highest degree term is non-zero.

There is actually a deeper reason for putting the highest power term in the front, it is related to the degree of a polynomial.

Definition

Let be a polynomial in . Suppose , then the degree of is defined as:

We define .

With this definition, we can easily see the following properties:

Theorem

Let be a commutative unitary ring, then for all , we have:

  1. .
  2. If , then .
  3. .
  4. If If is an integral domain, then .

The proof is straightforward, we will omit it. But we note that the degree will offer a good way to compare single variable polynomials.

Division algorithm in

Now we are ready to define the division algorithm in . Let’s think again why the division algorithm in works. First we need to have a good remainder condition:

But if we ask deeper, what is the property of the set that enables us even to define the remainder condition? The answer is is a ordered set. We can compare two integers and and decide which one is bigger. The ordering is also use in the proof of division algorithm.

So to make the division algorithm work, we need to have a way to compare two polynomials. It turns out the degree is the correct choice. We can propose the following remainder condition:

Division Algorithm for Polynomials in

Let be a field, then for all with , there exist unique polynomials such that:

Proof of Theorem

Existence

Let’s clear the corner cases first:

  1. If , then we can take and .
  2. If , but , then we can take and .

Now suppose . We will perform strong induction on .

Base case: , then based on our assumption, we have , and since , we have . In this case, we know:

We can take and .

Inductive step: Suppose the theorem holds for all polynomials with degree less than . Now we consider a polynomial with , and with , we can write:

where and . We will try to get the leading term of out of the way. We can do this by subtracting a multiple of from :

Here stands for lower order terms. We can see that the degree of

is less than . We will have three possibilities:

Firstly, if , then we can take and , and we are done.

Secondly, suppose we have , then we are in the corner case 2, and we can take and , we have:

and we are done.

Finally, f , then we can apply the inductive hypothesis.

By the inductive hypothesis, we can also find polynomials and such that:

In both cases, we can rearrange the equation to get:

This gives us the existence of and .

Uniqueness

Suppose we have two distinct pairs and that satisfy the theorem. We can write:

We first notice that and .

We can subtract the two equations to get:

Since , we know:

Now since , we have:

This results in:

which is a contradiction, since we have

Warning

It is important to note that the division algorithm is only guaranteed to work in a coefficient field . does not have the division algorithm, since is not a field.