If the basis of a vector space is known, then every vector (element of the vector space) can be expressed as a linear combination of the basis vectors.
This is to be expected, since the basis of a vector space contains only linearly independent vectors, so any non-basis vectors must be linearly dependent, and hence able to be expressed using a linear combination.
So far, it hasn’t been properly mentioned, but almost all references to bases refer to ordered bases, where elements of the bases have a certain order and can’t be rearranged once that order is defined.
Expressing vectors from a basis uniquely ^theorem
If is the ordered basis of a vector space (fixed over the field ) then every vector in can be expressed uniquely, as a linear combination of the basis, i.e.:
This is usually done by solving a linear system consisting of the basis vectors.
Now that we know every vector can be expressed, we can connect vector spaces to a coordinate system (such as that of the Cartesian Plane ()), using coordinate vectors
Coordinate Vectors
Coordinates relative to a Basis
If is the ordered basis of a vector space (fixed over the field ) then every vector in can be expressed uniquely as:
The set of unique scalars, are the coordinates of relative to . Then:is the coordinate vector of with respect to
The existence of these coordinate vectors means that a vector in can be uniquely represented by any basis of .
Furthermore, these coordinate vectors are always linked, even during a linear combination:
Coordinate Vectors are Vectors
Let be a vector space fixed with the field . Also, let be the ordered basis of . If and :