Direct product/Direct sum/Introduction/Section

Recall that, for a family , , of sets , the product set is defined. If all are -vector spaces over a field , then this is, using componentwise addition and scalar multiplication, again a -vector space. This is called the direct product of vector spaces. If it is always the same space, say , then we also write . This is just the mapping space .

Each vector space is a linear subspace inside the direct product, namely as the set of all tuples

The set of all these tuples that are only (at most) at one place different from generates a linear subspace of the direct product. For infinite, it is not the direct product.


Let denote a set, and let denote a field. Suppose that, for every , a -vector space is given. Then the set

is called the direct sum of the .

We have the linear subspace relation

If we always have the same vector space, then we write for this direct sum. In particular,

is a linear subspace. For finite, there is no difference, but for an infinite index set, this inclusion is strict. For example, is the space of all real sequences, but consists only of those sequences satisfying the property that only finitely many members are different from . The polynomial ring is the direct sum of the vector spaces . Every -vector space with a basis , , is "isomorphic“ to the direct sum .