Let be a field, and let be the polynomial ring.
Theorem 19.1 If is an ideal, then there exists such that
That is, every ideal is generated by a single element.
Proof: If
then we are done.
Thus we may assume that contains an element of degree .
Let be an element of minimal degree in :
Since
Now let
Consider the division algorithm:
where
and
Then
where
But already has minimal degree among the elements of , so
Definition 19.1 If
we say that is irreducible or prime if
implies that either or is a constant polynomial.
That is, there is no polynomial of degree with
that divides .
Theorem 19.2 Every can be factored as a product of irreducible polynomials.
Proof: We prove this by induction.
For degree , i.e. constant polynomials, is either or a unit, so the factorization is trivial.
Assume that every polynomial of degree less than can be factored into irreducible polynomials.
Now let have degree .
If is irreducible, we are done.
Otherwise,
where
By the induction hypothesis, both and can be factored into irreducible polynomials.
Therefore every can be factored as a product of irreducible polynomials over the field .
Exercise Let be a commutative ring, and let
be a finite collection of elements.
Define the ideal generated by and prove that it is an ideal.
Solution: Since there are elements of , they uniquely define a module homomorphism
We define the ideal generated by to be the image of this homomorphism.
The image is a submodule of , and by definition a submodule of is an ideal.
Definition 19.2 We use
to denote the ideal generated by the elements .
Explicitly, it is the set of all elements of that can be written as
where
Let be a field.
Our goal is to show that and are very similar rings.
At first sight, this may seem surprising, but we will explain what this means.
There is an important analogy between:
(1) the size of an integer, or the of its size, and
(2) the degree of a polynomial.
For example, for any two integers ,
On the other hand, for any two polynomials in ,
The size of integers allows us to use induction when proving statements about all integers.
Although we used above, preserves the ordering of numbers, so the multiplicative property above is still useful in inductive proofs.
Similarly, polynomial degree allows us to prove statements about all polynomials by induction.
Definition 19.3 Let be a commutative ring.
A zero divisor is an element such that
for some
Here are some simple examples.
(1) If contains more than one element, then is always a zero divisor because
for every .
We need to contain more than one element so that we can choose a nonzero .
(2) Let
where is not prime.
Then we can choose two integers and such that
with neither nor equal to .
Thus in , and are both zero divisors because
but
Definition 19.4 A commutative ring is called a principal ideal domain, or PID, if:
(1) for every ideal
there exists some such that
(2) the only zero divisor in is .
Remark The word “domain” means that there are no nonzero zero divisors.
You will sometimes hear the term integral domain, meaning a commutative ring with no nonzero zero divisors.
The “principal ideal” part means that every ideal is principal, i.e. generated by one element.
Example 19.2 The two most important examples of principal ideal domains are:
(1)
We know that every subgroup of has the form
where is an integer.
Moreover,
because by definition every element of is a multiple of by some integer .
Since every ideal is, in particular, a subgroup of , we conclude that every ideal in is principal.
(2)
where is a field.
By the theorem, is a PID.
Theorem 19.3 Let be a field. Then every ideal
is generated by a single element.
Proof: Since is a field, the polynomial ring has a division algorithm:
for any polynomials and with , there exist unique polynomials and such that
where either
or
Now let be an ideal of .
If
then is generated by .
Suppose
Consider the set of degrees of nonzero polynomials in :
Since is a nonempty subset of , it has a least element .
Choose
with
We claim
First, since
Conversely, for any
the division algorithm gives
where
or
Since
because is an ideal,
If , then
contradicting the minimality of .
Therefore,
so
Hence
which proves that every ideal of is principal.
An important reason why and are very similar rings is that both have a division-with-remainder algorithm, namely the Euclidean algorithm.
Recall the following proposition, which we have known since elementary school.
Theorem 19.4 (Division with Remainder for Integers)
Let be an integer and let be any integer.
Then there exist integers and such that
where
Remark We used this proposition extensively when proving that the only subgroups of are of the form .
The analogous statement for polynomials replaces the size of an integer by the degree of a polynomial.
Theorem 19.5 Let be a field, and let
be a polynomial.
For every polynomial
there exist polynomials
such that
where
Remark This means that we can always divide one polynomial by another polynomial and look at the remainder.
Proof: If
then we are done by simply taking
That is, we cannot divide a polynomial of lower degree by one of higher degree in a nontrivial way, so the only division is the trivial one and the remainder is itself.
Thus we need only prove the case
We proceed by induction on the degree of .
Fix the polynomial .
We already know that the statement holds for every satisfying
This is the base case.
Assume that the statement holds for all with
We need to prove it for
Let
and
so that and have degrees and , respectively.
Since and are nonzero elements of the field , there exists a unique number such that
Consider the polynomial
Multiplying this polynomial by gives
Notice that this polynomial has the same degree as , and has the same leading coefficient .
Therefore, we can subtract it from to obtain a polynomial of smaller degree:
By the induction hypothesis on degree, there exist polynomials and such that
where
Thus we can write
Set
Then
where
This completes the proof.
Definition 19.5 An element is called a unit if there exists such that
Example 19.3 In , the units are
Similarly, if is a field, then the units of are precisely the nonzero elements of .
Proposition 19.6 Let
Then the units of are precisely the nonzero constant polynomials.
Proof: If
then
Therefore, both and must have degree , so both must be constant polynomials.
But the constant polynomials form the subring
Thus two constant polynomials multiply to if and only if both are nonzero.
We now want to generalize the notion of prime numbers in to arbitrary rings.
Definition 19.6 In a ring , an element is called prime or irreducible if
(1) is not a unit;
(2) the only elements dividing are units or unit multiples of .
That is, if
for , then either or must be a unit.
Example 19.4 Here are some examples of prime elements in rings.
(1) Let
If is a prime number or the negative of a prime number, then the only numbers dividing are
and
Thus the prime elements of are precisely the primes and their negatives.
Notice that zero is not a unit.
(2) Let
The only units in are nonzero constant polynomials.
Therefore, is prime or irreducible if and only if every polynomial dividing either has the same degree as or is a constant polynomial.
(3) For example, if
then is irreducible.
Indeed, if
then
Thus either or .
Hence every linear polynomial is irreducible.
Theorem 19.7 (Unique Factorization in Principal Ideal Domains)
Let be a principal ideal domain.
For every nonzero element
there exists a finite collection of distinct prime elements
such that
and for , and are not unit multiples of one another.
The exponents are unique, and the elements are unique up to order and multiplication by units.
Proof: Let
If is prime, then we are done: take
Otherwise,
where and are nonunits in .
If both and are prime, then we are done.
Suppose is not prime.
Then
where and are nonunits.
What does this mean?
so
Notice that this inclusion is strict:
Why?
Otherwise, we would have
Thus is a unit.
Notice that in the final implication, we used the fact that is a domain.
If is also not prime, then again we can write
and obtain a strict inclusion
Continuing in this way, every time we write
we obtain a chain of inclusions
But as we saw earlier, at some stage must equal , contradicting strict inclusion, because then
Thus some must be prime after finitely many steps.
We have proved:
every nonzero element can be written as
where is prime.
But we may have no control over .
We still need to prove that can be written as a finite product of prime elements.
If is not irreducible, write
where is prime, using above.
If is not irreducible, continue.
This produces a chain of strict inclusions
If were nonprime at every stage, we would obtain a contradiction, because a PID has no such infinite ascending chain of ideals, as proved earlier.
Therefore, let
Then
Thus every element can be written as a product of prime elements.
The key fact used in the proof is the following.
Proposition 19.8 Fix a principal ideal domain .
Suppose there is a sequence of ideals
Then there exists a finite integer such that
Proof: Let
Since is a principal ideal domain, there exists a single element such that
Since
by definition belongs to some finite stage .
Thus
Hence
For every , if
then
Remark A commutative ring satisfying the ascending chain condition above is called a Nötherian ring, in honor of the mathematician Emmy Nöther.
If you take courses related to algebraic geometry, you will encounter many more Nötherian rings.
Example 19.5 Here are some applications.
(1) Let
We know that the prime elements of are the prime numbers and their negatives.
Therefore, the factorization theorem says that every integer
can be written as a product of powers of primes:
If every is chosen to be a positive prime, this is usually called the prime factorization of .
However, in the context of the theorem, notice that we may replace and by and and still express as a product of powers of primes.
In this sense, the are unique only up to multiplication by units.
Of course, for integers we may choose the ordering so that
giving a preferred order, but this does not make sense in a general PID.
(2) If
then the theorem says that every polynomial can be written as a product of irreducible polynomials :
(3) For example, if
then every polynomial can be written as a product of linear polynomials:
Notice that over other fields, we may not be able to factor into linear polynomials.
Exercise Here are some exercises.
(1) Let be a field and let
Prove that
if and only if
divides the polynomial .
Hint: use the division algorithm.
(2) Fix a commutative ring , and fix
Prove that
if and only if
where is a unit.
(3) Let be a commutative ring. Prove that a unit cannot be a zero divisor.
What is the converse?
(4) Prove that every field is a principal ideal domain.
Solution:
(1) If
the statement is immediate because
if and only if
and
Thus divides .
Now suppose
Using the division algorithm, we may write
Then
Thus
But
so must be a polynomial of degree having as a root.
This means
as a polynomial, and therefore
(2) Since
we have
Thus
Indeed, if
then
so every multiple of is also a multiple of .
Similarly,
so
and therefore
(3) Suppose is a unit.
Then there exists
such that
For any
On the other hand, if
then
Therefore,
Hence cannot be a zero divisor.
(4) A commutative ring is a field if and only if its only ideals are
and
itself.
Clearly,
is principal because
Similarly,
for every ring.
Thus we only need to prove that there are no zero divisors other than .
Every nonzero element of a field has an inverse, so there are no nonzero zero divisors.
The following theorem shows that every finitely generated module over a principal ideal domain has a simple form.
If every ring had such a simple theory of modules, the algebraic world would be a very beautiful place.
Theorem 19.9 (Classification of Finitely Generated Modules over a Principal Ideal Domain)
Let be a principal ideal domain, and let be a finitely generated -module.
Then there exist finitely many prime elements
where may equal , and integers
such that
and this decomposition is unique up to reordering and replacing the by unit multiples.
Remark What does uniqueness mean explicitly?
Suppose we have another decomposition
where each is also prime.
Then:
(1)
(2)
and
(3) there is a reordering of the indices such that
and and are unit multiples of one another.
It is particularly important to note that may equal even when .
In other words, modules are different from numbers.
Their decomposition is not simply unique prime factorization in which
can always be combined into
Repeated prime factors are significant.
Example 19.6 ( a field)
If is a field, what are its prime elements?
There are no prime elements because prime elements are nonzero nonunits.
Therefore, every finitely generated module over has the form
This means that every finitely generated -module has a finite basis.
The integer is precisely the dimension of the vector space.
Example 19.7 ()
What are the primes in ?
They are the numbers of the form
where is a prime number.
Notice that
Therefore, the theorem above says that every finitely generated -module, i.e. every finitely generated Abelian group, has the form
Uniqueness means, for example, that
and
are not isomorphic as -modules, i.e. they are not isomorphic Abelian groups.
We already knew this.
For example, is cyclic, while the former group is not.
Notice that the former group is also an example in which
for .
Example 19.8 Still take
We can now classify all Abelian groups of order :
Example 19.9 Another example:
Let
It is not in the standard form appearing in the theorem.
In fact,
Exercise Classify all Abelian groups of order
Solution: We need to find all possible collections satisfying
with
Notice:
is not isomorphic to
Exercise Which of these groups are isomorphic to
Solution: We have already proved that if
then
Therefore,
Let be a field, and let be an -vector space, i.e. an -module.
Any -linear map
defines an -module structure on .
If
then define
where
Thus, suppose is a finite-dimensional vector space over .
Choose an -linear map
making into an -module.
Proposition 19.10 is a finitely generated -module.
Proof: Let
be a finite basis.
Then
In particular, if
are constant polynomials, then
Therefore,
is surjective.
Corollary 19.11 is isomorphic, as an -module, to
where
are irreducible,
and
Remark In this decomposition,
Why?
Because is finite-dimensional as an -vector space, while is not finite-dimensional.
Therefore, cannot contain a subspace isomorphic to .
In general, determining irreducible polynomials can be difficult.
For example, deciding whether
is irreducible over
often requires checking the possibilities individually.
One of the principal ideal domains mentioned earlier is
So what are the prime elements of ?
This is generally a complicated question.
A first necessary condition for to be prime is that it have no roots in .
Otherwise, as we saw earlier, is divisible by a linear polynomial, which is not a unit in .
However, for certain special fields, the irreducible elements of are easier to identify.
Definition 19.7 A field is called algebraically closed if every polynomial
has a root.
An obvious example is
There is an important theorem.
Theorem 19.12 Every field can be embedded into an algebraically closed field.
Remark Notice that not every field admits an injective ring homomorphism into .
For example, let
Its multiplicative identity satisfies
Any ring homomorphism
must satisfy
which is impossible in , because a ring homomorphism must also satisfy
In other words, there must exist some field different from that contains roots of every polynomial and admits an injection from .
Sounds mysterious, doesn't it?
Proposition 19.13 If is algebraically closed, then the only irreducible elements of are nonzero linear polynomials.
Proof: We already know that every nonzero linear polynomial is irreducible, since whenever
either or must have degree .
Thus every factorization of a linear polynomial involves a unit.
On the other hand, if
then by the definition of algebraic closure, has a root.
Therefore, we may write
where
Both and are nonunits because both have positive degree.
Therefore, no polynomial of degree greater than can be prime.
Corollary 19.14 If is algebraically closed, then every finitely generated module over is isomorphic to
where
and
Why is this useful?
A very good example is an -module, i.e. an -vector space equipped with a linear map
This helps us classify linear maps .
Corollary 19.15 If is algebraically closed, is a finite-dimensional -vector space, and
is -linear, then
where
Remark If
then
assuming
Therefore,
That is, we may always assume
Let us look at some examples.
We want to study
both as an -module and as an -module.
Notice that the -module structure on
is defined by
Proposition 19.16 If
then
as -vector spaces.
Proof: Every
can be written as
where
Since and are unique for fixed and , the function
gives a bijection.
Example 19.11
where
What is the corresponding -action?
(1)
(2)
because
Thus the action of multiplication by is the map
Example 19.11
The action of multiplication by corresponds to
That is,
Example 19.12 Let
Then has a basis
Moreover,
Therefore,
where the main diagonal consists of , and the entries immediately above the diagonal are all .