The key idea of this problem is to realize that the plane
contains
linearly independent vectors; For example,
.
Therefore, if
is a linear transformation that maps
into
,
in fact sends all of
to
. In particular, we have
for some constants
,
, and
.
On the other hand, we also need to ensure that at least one point of
is not mapped to the zero vector: otherwise the image of
under
would simply be the zero vector instead of all of
. In other words, at least one of
,
, and
is non-zero.
Therefore, the matrix of
must be of the form
where at least one of
,
, and
is non-zero.