Bases
[11/0%]Find all vector spaces that have exactly one basis.
Verify all assertions in Example 2.27.
Example 2.27:
The list is a basis of , called the standard basis of .
The list is a basis of . Note that this list has length two, which is the same as the length of the standard basis of .
The list is linearly independent in but is not a basis of because it does not span .
The list spans but is not a basis of because it is not linearly independent.
The list is a basis of .
The list is a basis of .
The list is a basis of , called the standard basis of .
Let be the subspace of defined by
Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Let be the subspace of defined by
Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Suppose is finite-dimensional and are subspaces of such that . Prove that there exists a basis of consisting of vectors in .
Prove or give a counterexample: If is a list in such that none of the polynomials has degree 2, then is not a basis of .
Suppose is a basis of . Prove that
is also a basis of .
Prove or give a counterexample: If is a basis of and is a subspace of such that and and , then is a basis of .
Suppose is a list of vectors in . For , let
Show that is a basis of if and only if is a basis of .
Suppose and are subspaces of such that . Suppose also that is a basis of and is a basis of . Prove that
is a basis of .
Suppose is a real vector space. Show that if is a basis of (as a real vector space), then is also a basis of the complexification (as a complex vector space).
The complexification was defined in Exercise 8 in Section 1B: suppose is a real vector space; the complexification of , denoted by , equals , with an element , , written as ; addition on is defined by ; complex scalar multiplication on is defined by for all and all .