Once again we're essentially reformulating the solution of a linear system, only this time geometrically. The picture is this (p. 32):
- To use the terminology of the previous section, we would characterize these three distinctly different systems of equations as follows:
- The first system has a particular solution vector, and the
homogeneous system has only the unique solution of the zero
vector;
- System two has a homogeneous soln with an infinite number
of solutions, but no particular solution; and
- System three has a particular solution
(e.g. (x,y)=(1,2), but the homogeneous solution has an
infinite number of solutions.
- Definitions in this section:
- geometric vector (has length -- "magnitude" -- and direction)
- free vector: one which has no absolute location ("anchor")
in space
- canonical (natural, standard) position: when a vector is
anchored at the origin.
- parallelogram rule
- vector equation of a line (direction vector, position vector)
- k-dimensional linear surface
- hyperplane: a surface of dimension one fewer than the
space itself.
Let's think about other ways to characterize this plane, perhaps some
from your own experience.
- "We finish this subsection by restating our conclusions from the
first section in geometric terms. First, the solution set of a linear
system with n unknowns is a linear surface in . Specifically,
it is a k-dimensional linear surface, where k is the number of
free variables in an echelon form version of the system. Second, the
solution set of a homogeneous linear system is a linear
surface passing through the origin. Finally, we can view the general
solution set of any linear system as being the solution set of its
associated homogeneous system ofset from the origin by a vector, namely
by any particular solution."
- Let's try some problems:
- 1.1ac
- 1.3
- 1.6