This section shows us how to think of the solution set of a linear system geometrically, in terms of vectors. The main trick is to find the solution of a related system, the homogeneous system, and then find a particular solution to the system.
The solutions are some sorts of parametric representations of points (if only a trivial solution of the homogeneous equation exists), lines, planes, hyper-planes, etc.
The homogeneous equation    has a nontrivial solution
(that is, other than the zero vector
  has a nontrivial solution
(that is, other than the zero vector   ) if and only if the system
of equations has at least one free variable.
 ) if and only if the system
of equations has at least one free variable.
Theorem 6: Suppose the equation   is consistent for
some given vector
  is consistent for
some given vector   , and let
 , and let   be a particular solution. Then
the solution set of
  be a particular solution. Then
the solution set of   is the set of all vectors of the form
  is the set of all vectors of the form
  , where
 , where   is any solution of the
homogeneous equation
  is any solution of the
homogeneous equation   .
 .
Example: Proof (by linearity): #25, p. 56
 a solution.)
   a solution.)
Suppose   is a solution of
  is a solution of   , so that
 , so that
  . Let
 . Let   be any solution of the homogeneous
equation
   be any solution of the homogeneous
equation   , and let
 , and let   . Show
that
 . Show
that   is a solution of
  is a solution of   .
 . 
 the only type of solution.)
   the only type of solution.)
Let   be any solution of
  be any solution of   , and define
 , and define
  Show that
  Show that   is a solution of
  is a solution of 
  . This shows that every solution of
 . This shows that every solution of 
  has the form
  has the form   , with
 , with
  a particular solution of
  a particular solution of   and
  and   a
solution of
  a
solution of   .
 . 
Example: #8, p. 55 [
  
 
]
Example: #9, p. 55 
  
 
Summary
You might relate the solutions of these equations to your history from calculus as follows:
  
 
is the same as
  
 
It says that the row vector (which we might call   ) is
perpendicular, or orthogonal, to the solution vector
 ) is
perpendicular, or orthogonal, to the solution vector   .
 .
Then
  
 
is the same as
  
 
and
  
 
i.e., that the   is orthogonal to both row vector (
  is orthogonal to both row vector (  and
  and
  ).
 ).
Now if
  
 
this says that
  
 
That is, that the projection of   onto
  onto   is equal to b
  is equal to b
You remember what this means: that
  
 
where   is the angle between the vectors. Hence
  is the angle between the vectors. Hence
  
 
says: ``the projections of x onto the rows of A make up the components
of   '', and if
 '', and if
  
 
then   is orthogonal to every row of A; or, alternatively
  is orthogonal to every row of A; or, alternatively
``x is orthogonal to the span of the row vectors of A''.
The bang is still this: the solution set of   is the set of all vectors of the form
  is the set of all vectors of the form
  , where
 , where   is any solution of the
homogeneous equation
  is any solution of the
homogeneous equation   .
 .
Example: #35, p. 56
Example: #37, p. 56 - assumptions matter!