In this section, we will use the function view point of a polynomial introduced back in to define roots, and relate roots with divisibility.

Evaluation Map

Given a polynomial , we can view as a function by evaluating at : . We make the following definition:

Definition:

Given a polynomial , the associated function is the function defined by . By abuse of notation, we will denote the associated function of as .

Warning:

We have defined the Evaluation Map on Polynomial Ring, denoted as , as a morphism from to that evaluates a polynomial at a value . This is different from the associated function , which is a function from to .

Warning:

As mentioned in the definition, the notation is an abuse of notation. It is possible that:

  1. We start with a non-zero polynomial . The associated function is the zero function . For example, take and .
  2. We start with two different polynomials . The associated functions and are the same function .

The associated function of a polynomial is closely related to the divisibility of the polynomial by linear factors. We will prove the following theorem:

Theorem:

Given a polynomial and , let be the remainder of the division of by . Then:

Proof of Theorem

We will prove the theorem by the division algorithm. Let be the division of by , where and . We can write for some . We plug in to the equation:

This completes the proof.

Roots of a Polynomial

Definition:

Given a polynomial , we say is a root of if . We can also say vanishes at .

The root of a polynomial is again closely related with the divisibility of the polynomial of linear factors. We can restate the above theorem by:

Theorem:

Given a polynomial and , is a root of if and only if is divisible by .

The proof of the theorem is the same as the above theorem, we omit it.

One immediate corollary of the above theorem is:

Corollary:

Given a polynomial with , has at most roots in .

Above theorem also gives us a way to check whether a polynomial is reducible:

Corollary:

If has and has a root in , then is reducible. Equivalently, if an with is irreducible, then has no roots in .

Warning:

One may want to know if the converse of the corollary is true, i.e. if is reducible, then has a root in . This is not true in general, as we will see in the following example:

The polynomial is reducible as , but has no roots in .

The converse of the corollary is true in the following case due to low degree:

Theorem:

Given a polynomial with , if has a root in , then is reducible.

Checking irreducibility of a polynomial is actually a hard problem in general. We will see a criterion for in the next section.