Finite-Dimensional Vector Spaces
[51/0%]Find a list of four distinct vectors in whose span equals
Prove or give a counterexample: If spans , then the list
also spans .
Suppose is a list of vectors in . For , let
Show that .
Show that a list of length one in a vector space is linearly independent if and only if the vector in the list is not 0.
Show that a list of length two in a vector space is linearly independent if and only if neither of the two vectors in the list is a scalar multiple of the other.
Find a number such that
is not linearly independent in .
Show that the list (2,3,1), (1, -1,2), (7,3,c) is linearly dependent in if and only if .
Show that if we think of as a vector space over , then the list is linearly independent.
Show that if we think of as a vector space over , then the list is linearly dependent.
Suppose is linearly independent in . Prove that the list
is also linearly independent.
Prove or give a counterexample: If is a linearly independent list of vectors in , then
is linearly independent.
Prove or give a counterexample: If is a linearly independent list of vectors in and with , then is linearly independent.
Prove or give a counterexample: If and are linearly independent lists of vectors in , then the list is linearly independent.
Suppose is linearly independent in and . Prove that if is linearly dependent, then .
Suppose is linearly independent in and . Show that
Suppose is a list of vectors in . For , let
Show that the list is linearly independent if and only if the list is linearly independent.
Explain why there does not exist a list of six polynomials that is linearly independent in .
Explain why no list of four polynomials spans .
Prove that is infinite-dimensional if and only if there is a sequence of vectors in such that is linearly independent for every positive integer .
Prove that is infinite-dimensional.
Prove that the real vector space of all continuous real-valued functions on the interval is infinite-dimensional.
Suppose are polynomials in such that for each . Prove that is not linearly independent in .
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 .
Show that the subspaces of are precisely , all lines in containing the origin, and .
Show that the subspaces of are precisely , all lines in containing the origin, all planes in containing the origin, and .
Let . Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Let . Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Let . Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Let . Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Let . Find a basis of .
Extend the basis in (a) to a basis of .
Find a subspace of such that .
Suppose is linearly independent in and . Prove that
Suppose is a positive integer and are such that each has degree . Prove that is a basis of .
Suppose is a positive integer. For , let
Show that is a basis of . The basis in this exercise leads to what are called Bernstein polynomials. You can do a web search to learn how Bernstein polynomials are used to approximate continuous functions on .
Suppose and are both four-dimensional subspaces of . Prove that there exist two vectors in such that neither of these vectors is a scalar multiple of the other.
Suppose that and are subspaces of such that , and . Prove that .
Suppose and are both five-dimensional subspaces of . Prove that .
Suppose is a ten-dimensional vector space and are subspaces of with . Prove that .
Suppose is finite-dimensional and are subspaces of with . Prove that .
Suppose is finite-dimensional and is a subspace of with . Let and . Prove that there exist subspaces of , each of dimension , whose intersection equals .
Suppose that are finite-dimensional subspaces of . Prove that is finite-dimensional and
The inequality above is an equality if and only if is a direct sum, as will be shown in 3.94.
Suppose is finite-dimensional, with . Prove that there exist one-dimensional subspaces of such that
Explain why you might guess, motivated by analogy with the formula for the number of elements in the union of three finite sets, that if are subspaces of a finite-dimensional vector space, then
Then either prove the formula above or give a counterexample.
Prove that if , and are subspaces of a finite-dimensional vector space, then
The formula above may seem strange because the right side does not look like an integer.