Polynomials occur ubiquitously in applications. A number of techniques have been developed for working with them and exploiting their special structure. In this class you will learn how to evaluate, factor, and divide polynomials.
Consider a polynomial such as
 
 Suppose you
want to know
 Suppose you
want to know  .  You could evaluate those powers of
.  You could evaluate those powers of  in
 in
 , multiply with the coefficients, and add the individual terms
to get
, multiply with the coefficients, and add the individual terms
to get
 
It turns out that this is a clumsy procedure.
The evaluation becomes much simpler if we rewrite  as
as
 
 and
 and  are in fact equivalent.)
Evaluating
 are in fact equivalent.)
Evaluating  in the form
 in the form   is much easier since we don't have to
compute powers.  In our special case we obtain:
is much easier since we don't have to
compute powers.  In our special case we obtain:
 
We get the same answer, of course, but the computation is simpler and
it involves fewer basic operations.  The advantages of this form are
more pronounced for polynomials of high degree.
The above technique works in general and is described in the
literature as  synthetic division (for reasons discussed below),
 nested multiplication (for reasons that are obvious when
considering  ),
or  Horner's Scheme (after the English Algebraist William
George Horner, 1786-1837).  It's a good rule of thumb that if
something is known under several names it is usually powerful or
otherwise important.
),
or  Horner's Scheme (after the English Algebraist William
George Horner, 1786-1837).  It's a good rule of thumb that if
something is known under several names it is usually powerful or
otherwise important.
You can use synthetic division to evaluate a polynomial in your head,
or using a calculator (storing just one number, the value of  ).
The usual way to do it on paper is to construct a table which has the
coefficients of the polynomial in the first row, and the intermediate
results of the Calculation in the second and third rows:
).
The usual way to do it on paper is to construct a table which has the
coefficients of the polynomial in the first row, and the intermediate
results of the Calculation in the second and third rows:
 
Each entry in the third row is the sum of the entries above it. In the first column there is a blank in the second row that you can think of as zero. Each entry in the second row is obtained by multiplying the entry to the lower left of it with the number at which we evaluate the polynomial (in this case 7). Usually we take note of that number by writing it to the left of the array in the first row:
 
The final result of the evaluation (in this case  ) is 
given (and underlined) in the lower right corner of the array.
) is 
given (and underlined) in the lower right corner of the array.
The process is called  synthetic division because it can be
thought of as dividing our
polynomial by  with remainder. The quotient is a polynomial
whose coefficients are the other entries in the last row.  In
this case,
 with remainder. The quotient is a polynomial
whose coefficients are the other entries in the last row.  In
this case, 
 
 
 
We write a polynomial in
standard form as a  sum of monomials.  In factored form a polynomial is
written as a  product of lower degree polynomials.  It is  
completely factored if all factors are of as low a degree as
possible.
 
For example, you can  easily check that  our polynomial  
The significance of having a polynomial  
Factoring is emphasized in a class like this as a means of solving 
polynomial equations.  It works beautifully if you are able to find
the factors.  However, the usual flow is often the other way, if you really
want factors you find them by first finding the roots of a polynomial.
 
There is, however, one special case, where you find factors that are
common to two (or more) polynomials, usually for the purpose of
canceling them in a ratio of polynomials.  That subject deserves its
own page on 
  long division and the Euclidean Algorithm .
 
 Factoring a Polynomial
 satisfies
satisfies
 
 in  factored form
is that it makes it easier to solve equations of the form
 in  factored form
is that it makes it easier to solve equations of the form  .
A solution of that equation is called a root 
or  zero of
.
A solution of that equation is called a root 
or  zero of  .
A product is zero if and only if one of the factors is zero,  so to
find the roots of
.
A product is zero if and only if one of the factors is zero,  so to
find the roots of  we need to look only at the roots of the
individual factors.  It is clear from
 we need to look only at the roots of the
individual factors.  It is clear from  that the roots of our
particular polynomial
 that the roots of our
particular polynomial  are
 are  ,
,  , and
, and  .  This is not
at all obvious by looking at the original definition
.  This is not
at all obvious by looking at the original definition  of
 of 
 .
.