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In this section we want to look at an application of
derivatives for vector functions.
Actually, there are a couple of applications, but they all come back to
needing the first one.
In the past we’ve used the fact that the derivative of a
function was the slope of the tangent line.
With vector functions we get exactly the same result, with one
exception.
Given the vector function, 
,
we call 
the tangent
vector provided it exists and provided 
. The tangent line to 
at P
is then the line that passes through the point P and is parallel to the tangent vector, 
. Note that we really do need to require 
in order to have a tangent vector. If we had 
we would have a vector that had not
magnitude and so couldn’t give us the direction of the tangent.
Also, provided 
,
the unit tangent vector to the curve
is given by,
While, the components of the unit tangent vector can be
somewhat messy on occasion there are times when we will need to use the unit
tangent vector instead of the tangent vector.
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Example 1 Find
the general formula for the tangent vector and unit tangent vector to the
curve given by  .
Solution
First, by general formula we mean that we won’t be
plugging in a specific t and so we
will be finding a formula that we can use at a later date if we’d like to
find the tangent at any point on the curve.
With that said there really isn’t all that much to do at this point
other than to do the work.
Here is the tangent vector to the curve.

To get the unit tangent vector we need the length of the
tangent vector.

The unit tangent vector is then,

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Example 2 Find
the vector equation of the tangent line to the curve given by  at  .
Solution
First we need the tangent vector and since this is the
function we were working with in the previous example we can just reuse the
tangent vector from that example and plug in  .

We’ll also need the point on the line at  so,

The vector equation of the line is then,

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Before moving on let’s note a couple of things about the
previous example. First, we could have
used the unit tangent vector had we wanted to for the parallel vector. However, that would have made for a more
complicated equation for the tangent line.
Second, notice that we used 
to represent the tangent line despite the fact
that we used that as well for the function.
Do not get excited about that.
The 
here is much like y is with normal functions.
With normal functions, y is
the generic letter that we used to represent functions and 
tends to be used in the same way with vector
functions.
Next we need to talk about the unit normal and the binormal
vectors.
The unit normal vector is defined to be,
The unit normal is orthogonal (or normal, or perpendicular)
to the unit tangent vector and hence to the curve as well. We’ve already seen normal vectors when we
were dealing with Equations of Planes. They will show up with some regularity in
several Calculus III topics.
Next, is the binormal vector. The binormal vector is defined to be,
Because the binormal vector is defined to be the cross
product of the unit tangent and unit normal vector we then know that the
binormal vector is orthogonal to both the tangent vector and the normal vector.
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Example 3 Find
the normal and binormal vectors for  .
Solution
We first need the unit tangent vector so first get the
tangent vector and its magnitude.

The unit tangent vector is then,

The unit normal vector will now require the derivative of
the unit tangent and its magnitude.

The unit normal vector is then,

Finally, the binormal vector is,

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