27 Rings of Polynomials
Definition. Polynomial Rings
Let be a ring. A polynomial with coefficient in is an infinite formal sum given as
where and for all but a finite number of values of [12].
Here we have as a coefficient of . We call a degree of the largest value for such that . Just like rings have two binary operations such that terms in a ring can be added together of multiplied the same is true for rings of polynomials.
Example:
Find the sum and the product of the given polynomials in the given polynomial ring. , in [12].
Let us compute the sum first
Next, let us compute the product of
Thus we can conclude that the sum and the product
In this example we used a familiar technique for simplification as used in finding the solutions to an integral domain problem. This technique comes into play prominently in Abstract Algebra and we will cover it in depth in our section on Number Theory. For now we look at some basic commonalities between what we know of ring properties and what see are properties of ring polynomials. We can add or multiply polynomials and we will see that there are different families for which these rings may fall, just as we saw in the diagram in the previous section.
Theorem:
The set of all polynomials in an indeterminate with the coefficients in a ring is a ring under polynomial addition and multiplication. If is commutative, then so is , and if has unity , then 1 is also unity for .
We see here that even for Polynomial rings we can still classify them as commutative if the ring of the polynomial ring is commutative. Recall the diagram given in the previous section, we saw that within a portion of commutative rings we found integral domains and within the family of integral domains we found fields. It would be rational to expect that there is a family of commutative rings of polynomials that can be classified as fields as well [12].
Definition. Fields
Let be a field, then is an integral domain and as such is the field of quotients for . Thus any element in can be represented as a quotient of two polynomials in where .
We can relate this definition to polynomial functions by stating that if is an integral domain with a field of quotients then the field of quotients is a field of rational functions in indeterminates over [12].
Now that we have an established understanding of fields as they pertain to polynomials we can look at properties of polynomials [12].
Theorem: Evaluation Homomorphism
Let and be fields, with . Suppose that factors in , so that for and let . For the evaluation homomorphism , there is . Thus if , then if and only if either or .
From this we can draw out that the purpose of homomorphisms is much the same as it always has been but we evaluate now by using the value of and although we may be solving for a zero of we may run into polynomials that have a remainder and this simply means that whatever the value of the remainder is, we claim as our solution. We can see this in the following example.
Example:
Let . Compute for [12].
Given our understanding of the evaluation homomorphisms for field theory consider that then we have the following.
Since for , we can simplify 261 if we divide 261 by 7 we get a remainder of 2 thus we can conclude that .
Just as we discussed in the definition for the Evaluation Homomorphism for field theory, we are given a polynomial with a distinguished which we used to solve the function to a quantifiable value 261. We then used the field which we knew meant that we have to simplify 261 by factors of 7 which would either result in 0 or would result in the remainder between 261 and where is the number of times 7 is multiplied to produce the value closest but smaller than 261.
We can continue our understanding of polynomials over fields by discussing the factorization of polynomials. It might seem backwards at first but the best way to find the factor of is by division, thus it is only natural for there to be a theorem for the division of [12].
Theorem: Division Algorithm
Let and be two elements of , with and both nonzero elements of and . Then there are unique polynomials and in such that , where either of the degree of is less than the degree of .
Example:
Find and as described by the division algorithm and in so that with or of degree less than the degree of .[12]
Consider the long division
Thus we have found and .
This example is a wonderfully simple way of understanding the relationship between and . At first this long division might look wrong but we need to keep in mind that we have so we can alter values in terms of multiples of 11 with remainder, again this will be explained more in depth in our section on number theory.
We continue our discussion on polynomials by introducing another way to look at our long division problem [12].
Theorem: Factor Theorem
An element is a zero of if and only if is a factor of in .
We understand this theorem easily because we know that can only be a zero if it is a factor of otherwise there is a remainder. This can be seen when we look at the formula for if is a zero then we can simplify this formula to . There is a formal proof for this theorem but we will use the brief explanation, allowing us to focus our attention on the next vital definition in Rings of Polynomials.
Definition.
A non-constant polynomial is irreducible over or is irreducible polynomial in if cannot be expressed as a product of two polynomials and in both of lower degree than the degree of . If is a non-constant polynomial that is not irreducible over , then is reducible over .
Example:
Demonstrate that is irreducible over [12].
Firstly, we see that is of degree 4. The only possibility for to be irreducible in is if, either there are no roots in or can not be factored in a polynomial of degree 2. Since then we can say if has a zero in then also has a zero in that must divide 1. This leaves us with only two options or .
Since there are no zeros has no linear factors over . Now let us address where . Let
we can expand this equivalency to result in
If we evaluate the newly simplified form we see that , , , and . Firstly, if then or . Let , then and if we subtract from both sides we get . Since then and as such which is impossible for . Now let then . If we subtract from both sides we get and since then this is also not possible for . Therefore we can conclude that has no quadratic factors over nor and thus we say is irreducible over both.
What we can derive from this example is that if the polynomial is irreducible then there can be no two polynomials, which must be of a lower degree, whose product is . When we say of lower degree we say in the previous example that was given a degree of 4, this is because the leading variable had an exponent of 4. So the two polynomials and that might produce must have a leading variable with an exponent . In the example we saw that both polynomials had an exponent equal to 2.
This last theorem is another way we can classify a polynomials under a ring. All of these classifications help us better understand functions that arise and what properties they have based on their classification. For example, if you were to be given an and told nothing other than the fact it was reducible over you would instantly know that was a polynomials in a field that could be factored into two separate polynomials.