The answer to this statement is false: No solution to
must exist (however, if a solution exists, it must be unique).
If
then
is a linear combination of the columns of
. However, the vector
is in
and this space requires 5 vectors to form a basis. We can therefore not guarantee that the 4 vectors we have from the columns of
could properly represent any vector
and therefore we are not guaranteed that a solution exists to
.
We can illustrate this with an example.
Let
,
and
.
Then
has the unique solution
, but
has no solution.
However, if a solution to
exists, then it must be unique: If
has a unique solution then it must have a trivial nullspace, i.e. there must not be a vector
such that
as otherwise

and
is a solution violating the uniqueness assumption of
. So assume that
and
are both solutions of
. We need to show that the solution is unique, that is,
. Subtracting the two equations we obtain
and thus
, that is,
is in the nullspace of
. However, this nullspace only consists of the null vector, which implies that indeed
.