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The classical algorithm for dividing one polynomial by another one is based on the so-called long division algorithm which basis is formed by the following result.
Division algorithm for polynomials: Let
be a field. If
and
are polynomials in
, with
1, there exist unique polynomials
and
such that
and
.
It is customary to call
(polynomial) quotient and
the (polynomial) remainder.
We shall prove this result because the given proof is constructive and provides a hint how to realize the long division.
Let
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If
the result is obvious because it is sufficient to take
and
. So let us assume that
. Since
is a field, every non-zero element has its multiplicative inverse in
, especially there exists
. Consider the polynomials
Obviously,
. If
the procedure ends. Suppose therefore that
. If we denote by
the leading coefficient of polynomial
and by
its degree, then let
Again,
. If
the procedure ends. If
, then we proceed analogically as in the previous step to find polynomial
. Since the degrees of polynomials
with growing index
decrease, after a finite number of steps we reach a value less than
. Let
denote the number of these steps, i.e.
while
. Put
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Then the backwards substitution yields that
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and the first conclusion of the Theorem about the existence follows.
Finally, in order to establish the uniqueness of
and
, let us suppose that
has two representations of the required form
![]()
with
and
. Then
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Since
, this equality can hold only if
, i.e.
and
.
Example: The long division of polynomials demonstrated in the previous proof can be practically realized as follows:

i.e.
.
The assumption that
is a field is essential, it is not possible to replace it, for instance, by a weaker assumption that
is a ring, because the division process by the leading coefficient of polynomial
could possibly not have been carried out in
if
is “only” a ring. Clearly, the division can be realized if the leading coefficient of
has its multiplicative inverse in
, for instance, when the leading coefficient is
or
.
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Cite this web-page as:
Štefan Porubský: Division of Polynomials.