Lecture 16
Chapter IV Polynomials
denotes or
Review
Products and Quotients of Vector Spaces 3E
Theorem 3.107
Let , then define , given by
a) where
b) is injective
c)
d) and are isomorphic
Example:
Consider be differentiation map
is surjective by is not injective {constant polynomials}
constant polynomials
This map () is injective since
constant polynomials (anti-derivative)
New materials
Complex numbers 1A
Definition 1.1
Complex numbers
is a complex number for , ()
complex conjugate
Properties 1.n
Polynomials 4A
Lemma 4.6
If is a polynomial and is a zero of , then for some polynomial with
Lemma 4.8
If then has at most zeros.
Sketch of Proof:
Induction using 4.6
Division Algorithm 4B
Theorem 4.9
Suppose . Then there exists a unique such that , and
Proof:
Let if , we are done .
Otherwise () consider . is a basis of .
Then there exists a unique such that
let then we are done.
Zeros of polynomial over 4C
Theorem 4.12 Fundamental Theorem of Algorithm
Every non-constant polynomial over has at least one root.
Theorem 4.13
If then has a unique factorization up to order as for
Sketch of Proof:
(4.12)+(4.6)
Zeros of polynomial over 4D
Proposition 4.14
If with real coefficients, then if then
Theorem 4.16 Fundamental Theorem of Algorithm for real numbers
If is a non-constant polynomial over the has a unique factorization
with