Subsection 3.2.1 Intro to Vector Parametric Form of a Line in the Plane
Recall that in algebra, a line is given by a
Cartesian equation, e.g. of the form
where
are variables, and
are constants (
slope-intercept form). More precisely, a line is an (infinite) set of points in the plane. In particular, the line
could be represented as the set,
That is, the set of all points of the form
where
ranges over all real numbers. The number
here is called a
parameter, because it is a quantity which specifies each point on the line. Here, it happens to represent the
-coordinate of the line, but its label does not change the line. That is,
both represent the same set of points, and the same line. We typically represent parameters by
Representing points in the plane as position vectors, this line can be written as the set of all vectors,
We can rewrite this vector in terms of the part which depends on the parameter
and that part which doesn't,
Roughly, the
-intercept
specifies a "starting point" for the line, and the slope
specifies the "direction" the line is in (when moving 1 unit right, we move
units up).
Using the language of vectors, we can form a more vector focused form of a line.
Suppose we want a line to pass through the point
This vector will act as a βstarting pointβ for the line. Then, we specify another vector
which represents the direction from the starting point
which we want the line to travel, called a
direction vector. Note that a line goes in two opposite directions, so
would also work. Then, consider adding some multiple of
to
Say, of the form,
where
The resuling vectors, for varying
trace out a line in the plane. As
runs from
to
the vectors sweep out the entire line. Then, we say that the set,
is the
vector parametric form of the line.
Theorem 3.2.1.
Consider a line through the point
in the direction of the non-zero vector
If
is a point on the line, then the line has equation,
which is called the
vector parametric form. The vector
is called a
direction vector for the line. In other words, a point
is on the line if and only if there exists a number
such that
Note that the direction vector
is not unique, because any other vector parallel to it would also specify the same line. Also, the point on the line is not unique, because we could have used any other point on the line.
Another way to think about this, is that
is a point on the line if and only if
is parallel to
i.e.
which is an equivalent equation.
More explicitly, we can compare components,
Then, by equating components, this results in the equations,
This is called the
scalar parametric form of a line. You may have encountered this form if you have studied parametric equations in pre-calculus or calculus.
Another method of specifying a line is to specify two points
on the line. This is because a direction vector for the line is the difference between the points,
and one of the points (say
) can be used as the starting point. Thus, the vector parametric form is,
Notice that
is on the line, corresponding to
and the point
is on the line, corresponding to
Subsection 3.2.3 Lines in
In
the equation of a line builds off the case for
Notice that in Cartesian coordinates, it is unclear how to extend the plane equation
to an equation in
involving all of
Again, a line can be completely determined by a point (say
), and a vector (say
).
Then, if
is a point on the line, then
is parallel to
That is,
for some
Then, the line can be written as,
Theorem 3.2.2.
Consider a line through the point
in the direction of the non-zero vector
If
is a point on the line, then the line has equation,
which is called the
vector parametric form. The vector
is called a
direction vector for the line.
Then, similarly, we can compare components, to obtain the scalar parametric form of a line,
Again, the direction vector
and point
are both not unique.
Similarly, we can use two points
to specify the line, given by,
Subsection 3.2.5 Affine Combination Form of a Line
Let
be vectors. Then, consider the line segment connecting the two heads of the vectors in standard position. The
midpoint of this line segment is the point
That is, the linear combination,
More generally, by varying the weights of this linear combination, but requiring that the weights sum to 1, we can reach every point along this line segment. Further, if we allow the weights to vary over all real numbers (but still require them to sum to 1), then we can access all points on the line extending in the direction of this segment. Equivalently, the line along
Then, if we are given two points
in the plane, we can form the line between them by considering the set of all linear combinations of the vectors, where the weights sum to 1. We specify this by denoting one weight by
and the other weight by
Then,
Linear combinations where the weights sum to 1 are called
affine combinations.