A linear system of equations is a set of linear equations in
variables (sometimes called "unknowns"). Linear
systems can be represented in matrix form as the matrix
equation
(1)
|
where
is the matrix of coefficients,
is the column vector of variables, and
is the column vector of solutions.
If ,
then the system is (in general) overdetermined and there is no solution.
If
and the matrix
is nonsingular, then the system has a unique solution in the
variables. In particular, as shown by Cramer's
rule, there is a unique solution if
has a matrix inverse
.
In this case,
(2)
|
If ,
then the solution is simply
. If
has no matrix inverse, then
the solution set is the translate of a subspace of dimension
less than
or the empty set.
If two equations are multiples of each other, solutions are of the form
(3)
|
for
a real number. More generally, if
, then the system is underdetermined. In this case, elementary row and column operations
can be used to solve the system as far as possible, then the first
components can be solved in terms of the last
components to find the solution space.