We'll revisit these, but for this section, we'll care a lot about polynomials, and specifically how they factor, which will be important then.
Note
We go from right to left for our transformations. However, for polynomials since is commutative then for our polynomials they don't matter.
Properties of
We talked about some properties of , most of which you know. Here :
, where denotes extracting the real part from .
, where denotes extracting the imaginary part from .
, where .
(Triangle Inequality)
We'll use these sporadically as we go on.
Properties of Polynomials
Division Algorithm for Polynomials
Given polynomials , there exist unique polynomials such that:
where .
Notice that this is the standard division algorithm except with polynomials. Just like how we did the division algorithm to generate , we can do polynomial division to generate our polynomials here.
Note
If then is a factor of , in other words:
This is actually the case from the division algorithm itself. Note that if then we are guaranteed that so then is a constant polynomial (constant function).
Let's do an example. We can can through long division of and :
Thus here , while . Hence:
But we can now prove the division algorithm for polynomials:
Proof
Let and . If then so then and via the algorithm above, which works:
Now suppose . Define by:
We can verify that it's a linear transformation pretty quickly:
Suppose . Then so then (notice if one wasn't zero, then we get an invalid inequality since has a degree of while is at most degree ).
Notice that so is injective, and furthermore, by the FTOLM, then we have where is a shorthand for our domain. Here which is the dimension of our RHS. Hence so then is surjective.
Hence, is bijective, and therefore are unique as we needed.
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Factorization of Polynomials Over
Roots and Factors of Polynomials
Consider . A number is called a zero, or root, of if .
A polynomial is called a factor of if there exists a polynomial of such that .
Theorem
is a zero of iff is a factor of .
Proof
Consider , so suppose is a factor of . Thus for some . But then:
thus is a zero of .
Consider , so suppose is a zero of , so . Using the division algorithm for polynomials, apply this to , where and . What do we get? We get that there must exist some where such that:
we need to show that . We know that so then so that forces that so then (ie: is a scalar). But notice that:
so then so as required. So then so then is a factor of .
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Recall from our prior example that:
so here are zeroes of this original polynomial, as are factors of our original polynomial.
Fundamental Theorem of Algebra
For any with , then has at most distinct zeroes in .
Theorem
Every non-constant polynomial with complex coefficients has a zero.
We don't prove the latter theorem, but it introduces us factoring in :
Factoring in
Let is an non-constant polynomial with . Then can be factored uniquely (up to order ) as:
where
But crazy enough, this doesn't work for !
Factoring with coefficients.
Let , but only with real coefficients. Then is a zero of iff is a zero of .
The proof of this is pretty simple.
Factorization
Suppose . Then:
with iff .
Factoring in
Let is a non-constant polynomial. Then can be factored uniquely (up to order) as: