For Problem DD-1:
Assume (3). For (1): All matrices have real entries. Since
has real
eigenvalues (the diagonal entries), since
,
and since similar matrices have the same eigenvalues,
has real
eigenvalues.
For (2): Notice that it's OK if eigenvalues are repeated (i.e.,
have multiplicity greater than 1). For the diagonal matrix
and a given
, the eigenspace of
is
the span of all
with
. Since
the standard basis vectors are perpendicular (orthogonal) to each
other, the eigenspaces are perpendicular. What is the
relationship between the eigenvectors of
and those of
?
says
, or
. Therefore the eigenspace of
for
is the eigenspace of
for
rotated by
. Since
is a rotation matrix,
is rigid and preserves angles, so the eigenspaces of
are also perpendicular to one another.
Note. Maybe that was the hard way to show (2), since it's easy to prove (2) directly, as on p. DD 5.
Also notice that for an eigenspace
,
doesn't have to be an an eigenvalue, but if it's not, then
0
.
For Problem DD-2:
, so eigenvalues are
and
. For
we have
and an
eigenvector is
, which scales to
of length 1. For
we
have
so an eigenvector is
, which scales to
. However, the matrix
has
determinant
, so let's negate the second column to get the
answer
. Now
for
.