The fact that a linearly independent list of the right length is a basis gives us a useful consequence.

Subspace of full dimension equals the whole space

Suppose that is finite-dimensional and is a subspace of , such that . Then .

Proof. Let be a basis of . Thus . Since we have , we also have .

Thus is a linearly independent list of vectors in (because it is a basis of ) of length . From Linearly Independent List of Right Length is a Basis, we see that is a basis of , because it has length . In particular, every vector in is a linear combination of . Thus, .

Examples

Example 1: A basis of .

Consider the list of vectors in . This list of length two is linearly independent in , because neither vector is a scalar multiple of the other. Note that has dimension 2.

Thus, Linearly Independent List of the Right Length is a Basis implies that the linearly independent list of length two is a basis of .

  • No need to bother with checking that it spans .

Example 2: A basis of a subspace of .

Let be the subspace of defined by

To find a basis of , first note that each of the polynomials are in .

Suppose and

for every .

  • Without explicitly expanding the left side of the equation above, we can see that the left side has a term. Because the right side has no term, this implies that .
  • Because , we can see that the left side has a term, which implies that .
  • Because , we can conclude .

Thus, the equation above implies that . Hence the list is linearly independent in . This means that . Hence

where we used Dimension of a Subspace.

The polynomial is not in because its derivative is the constant function . Thus . Hence, , by our previous result that “subspace of full dimension equals the whole space”, if , we would have .

The inequality above now implies that . Thus, the linearly independent list in has length and hence is a basis of .