Commutative Algebra/Direct products, direct sums and the tensor product

Direct products and direct sums edit

Definition 8.1:

Let   be modules. The direct product of   is the infinite cartesian product

 

together with component-wise addition, module operation and thus zero and additive inverses.

Theorem 8.2:

In the category of modules, the direct product constitutes a product.

Proof:

Let   be any index category, that contains one element   for each  , no other elements, and only the identity morphisms. Let   be any other object such that

Definition 8.3:

Let   be a commutative ring, and let   be modules over  . The direct sum

 

is defined to be the module consisting of tuples   where only finitely many of the  s are nonzero, together with component-wise addition and component-wise module operation.

Lemma 8.4:

Let   be modules. Their direct sum is a submodule of the direct product.

Proof:

Both have the same elements and the same operations, and the direct product is a subset that is a module with those operations. Therefore we have a submodule. 

Lemma 8.5:

For each  , there is a canonical morphism

 .

Proof:

 . 

Lemma 8.6:

 .

Proof:

Consider the morphism

 .

We claim that this is an isomorphism, so we check all points.

1. Well-defined:

Both   and   are morphisms (with suitable domains and images), so   is as well.

2. Injective:

Assume  . Then for any   contained in   we have

 ;

note that the sum is finite, since we are in the direct sum; this is necessary since infinite sums are not defined. Hence  .

3. Surjective:

Let  . Define

 .

The latter sum is finite because   and all but finitely many   are nonzero. Thus this is well-defined as a function, and direct computation proves easily that it is  -linear. Hence we have a morphism, and further

 . 

Theorem 8.7:

direct sum is coproduct in category of modules

Quotient spaces edit

To be then used to construct the tensor product.

The tensor product edit

Definition 8.8:

Let   be a ring and   modules over that ring. Consider the set of all pairs

 

and endow this with multiplication and addition by formal linear combinations, producing elements such as

 

where the   are in  . We have obtained the vector space of formal linear combinations (call  ). Set the subspace

 ,

the generated subspace. We form the quotient

 .

This is called the tensor product. To indicate that   are  -modules, one often writes

 .

The following theorem shows that the tensor product has something to do with bilinear maps:

Theorem 8.9:

Let   be  -modules and let   be  -bilinear. Then there exists a unique morphism   such that the following diagram commutes:

 

Proof:

Let   be any  -bilinear map. Define

 ,

where the square brackets indicate the equivalence class.

Once we proved that this is well-defined, the linearity of   easily follows. We thus have to show that   maps equivalent vectors to the same element, which after subtracting the right hand side follows from   mapping   to zero.

Indeed, let

 ,

where all   are one of the four types of generators of  . By distinguishing cases, one obtains that each type of generator of   is mapped to zero by   because of bilinearity. Well-definedness follows, and linearity is clear from the definition and since addition and module operation interchange with equivalence class formation. 

Note that from a category theory perspective, this theorem 8.9 states that for any two modules   over the same ring, the arrow

 

is a universal arrow. Hence, we call the result of theorem 8.9 the universal property of the tensor product.

Lemma 8.10:

Let   be a ring and   be an  -module. Recall that using canonical operations,   is an  -module over itself. We have

 .

Proof:

Define the morphism

 ,

extend it to all formal linear combinations via summation

 

and then observe that

 

is well-defined; again, by subtracting the right hand side, it's enough to show that   is mapped to zero, and this is again done by consideration of each of the four generating types.

This is a morphism as shown by direct computation (using the rules for the module operation), it is clearly surjective (map  ) and it is injective because if

 , then
 

since  . 

Lemma 8.11:

Let   be  -modules. Then

 .

Proof:

For   fixed, define the bilinear function

 .

Applying theorem 8.9 yields

 

such that  . Then define

 .

This function is bilinear (linearity in   from

 )

and thus theorem 8.9 yields a morphism

 

such that

 .

An analogous process yields a morphism

 

such that

 .

Since addition within tensor products commutes with equivalence class formation,   and   are inverses. 

Lemma 8.12:

Let   be  -modules, let   be an  -module. Then

 .

Proof:

We define

 .

This is bilinear (since formation of equivalence classes commutes with summation and module operation), and hence theorem 8.9 yields a morphism

 

such that

 .

This is obviously surjective. It is injective because

 

by the linearity of   and component-wise addition in the direct sum, and equality for the direct sum is component-wise. We split the argument up into sums where only one component of the right direct sum matters, and observe equality since we divide out isomorphic spaces. 

Lemma 8.13:

 .

Proof:

Linear extension of

 

defines a morphism which is well-defined due to symmetry, linear by definition and bijective because of the obvious inverse. 

We have proven:

Theorem 8.14:

Let   be a fixed ring. The set of all  -modules forms a commutative semiring, where the addition is given by   (direct sum), the multiplication by   (tensor product), the zero by the trivial module and the unit by  .

Note that we have more: From lemma 8.12 even infinite direct sums (uncountably many, as many as you like, ...) distribute over the tensor product. Incidentally, only finite direct sums are identical to the direct product. This may give hints for an infinite distributive law for infinitesimals.

Theorem 8.15 ("tensor-hom adjunction"):

Let   be  -modules. Then

 .

Proof:

Set

 .

Due to the equalities holding for elements of the tensor product and the linearity of  , this is well-defined. Further, we obviously have linearity in   since function addition and module operation are defined point-wise.

Further set

 .

By theorem 8.9 and thinking outside the box, we get a map

 

such that

 .

Then   and   are inverse morphisms, since   is determined by what it does on elements of the form  . 

Theorem 8.16:

Let   be  -modules isomorphic to each other (via  ), and let   be any other  -module. Then

 

via an isomorphism

 

such that

 

for all  ,  .

Proof:

The map

 

is bilinear, and hence induces a map

 

such that

 .

Similarly, the map

 

induces a map

 

such that

 .

These maps are obviously inverse on elements of the type  ,  , and by their linearity and since addition and equivalence classes commute, they are inverse to each other.