Vector space/Linear combination/Generating system/Introduction/Section
Two different coefficient tuples can define the same vector.
Let be a field, and let be a -vector space. Let denote a family of vectors in . Then the vector
is called a linear combination of this vectors
(for the coefficient tuple ).Let be a field, and let be a -vector space. A family , , is called a generating system (or spanning system) of , if every vector can be written as
with a finite subfamily , and with
.In , the standard vectors , , form a generating system. In the polynomial ring , the powers , , form an (infinite) generating system.
Let be a field, and let be a -vector space. For a family , , we set
The empty set generates the null space.[1] The null space is also generated by the element . A single vector spans the space . For , this is a line, a term we will make more precise in the framework of dimension theory. For two vectors and , the "form“ of the spanned space depends on how the two vectors are related to each other. If they both lie on a line, say , then is superfluous, and the linear subspace generated by the two vectors equals the linear subspace generated by . If this is not the case (and and are not ), then the two vectors span a "plane“.
We list some simple properties for generating systems and linear subspaces.
Let be a field, and let be a
-vector space. Then the following statements hold.- For a family , , of elements in , the linear span is a linear subspace of .
- The family
, ,
is a spanning system of , if and only if
Proof
- ↑ This follows from the definition, if we use the convention that the empty sum equals .