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Fall 2001 Final exam for SM 261
December 10, 2001
Show all work. (Do row reductions in problem 1 by hand. All other row
reductions can be done on the calculator.)
- Consider the linear system of equations
- a)
- If we write the system in the form
, what are
,
?
- b)
- Put the augmented matrix in reduced row echelon form. Do by hand and
show all steps.
- c)
- Solve the system.
- d)
- Is the solution set a subspace of
? Explain. If so, what is
its dimension?
- e)
- Is the solution set of the corresponding homogeneous syetm
a
subspace of
? Explain. If so, what is its dimension?
is a linear transformation from
to
such that
,
,
. Find the matrix of
.
- Let
be the subspace of
consisting of all solutions to the
equation
. Find a basis for
.
- Let
,
,
. Let
.
- a)
- Is
in
?
- b)
- Find dim(
). Give your reasoning.
- Let
- a)
- Find a basis for
.
- b)
- Find a basis for
.
- Consider the plane
with basis
.
- a)
- Let
. Find
,
the
-coordinate vector of
.
- a)
- If
, find
.
Find an orthonormal basis of
which contains the vector
.
- Let
be a subspace of
with basis
,
.
- a)
- Find the matrix of an orthogonal projection of
onto
.
- a)
- Find the
orthogonal projection of
onto
.
True or false. If false, give a counterexample.
- a)
- If
is the orthogonal projection
onto a subspace
of
then
is an orthogonal
transformation.
- a)
- The set of all eigenvectors of a
matrix is a subspace of
.
- a)
- Every set of
vectors in
spans a subspace of
.
- Let
- a)
- Find the characteristic polynomial
of
.
- a)
- Show that the eigenvalues of
are
,
. Find the
multiplicity of each eigenvalue.
- a)
- For each eigenvalue
, find a basis for the eigenspace
.
- a)
- Find the geometric multiplicity of each eigenvalue.
- a)
- Is
diagonalizable using real matrices?
Is
diagonalizable using complex matrices?
Give your reasoning.
- Suppose that
is an eigenvector for
with eigenvalue
.
Show that
is also an eigenvector for the matrix
.
What is the eigenvalue associated to
with
is considered
as an eigenvector of
?
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David Joyner
2002-11-21